diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/__init__.py b/tests/app/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_batch/__init__.py b/tests/app/test_batch/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_batch/test_batch.py b/tests/app/test_batch/test_batch.py
new file mode 100644
index 0000000..ddcc441
--- /dev/null
+++ b/tests/app/test_batch/test_batch.py
@@ -0,0 +1,414 @@
+"""src/wov_app/batch.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/batch.py`（文件夹批量处理：扫描定位、旁挂字幕跳过、
+引擎执行与产物放置），可独立调用。用例在临时目录构造真实视频/字幕文件与
+真实 SQLite 记录，使用真实 echo 节点跑通执行链路。
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from wov_app import registry
+from wov_app.batch import (
+ MARKER_NAME,
+ SUBTITLE_EXTENSIONS,
+ VIDEO_EXTENSIONS,
+ BatchWorker,
+ _sidecar_product_name,
+ create_job,
+ list_sidecar_subtitles,
+ load_marker,
+ remove_job_workspace,
+ scan_videos,
+)
+from wov_app.db import Database
+from wov_sdk.models import WorkflowDefinition
+
+
+@pytest.fixture(autouse=True)
+def _isolate_registry():
+ """用例前清空注册表、用例后恢复快照：保证用例看到的是干净基线，
+ 不受其他模块（如 main 生命周期 register_all）的注册结果影响。"""
+ snapshot = dict(registry._registry)
+ registry._registry.clear()
+ yield
+ registry._registry.clear()
+ registry._registry.update(snapshot)
+
+
+def _make_video(path: Path) -> Path:
+ """创建真实可读的视频文件（内容不重要，但必须是真实文件）。"""
+ path.parent.mkdir(parents=True, exist_ok=True)
+ path.write_bytes(b"\x00\x00\x00\x18ftypmp42" + b"\x00" * 64)
+ return path
+
+
+def _echo_definition(final_output: str = "step.file_uri") -> WorkflowDefinition:
+ """单 echo 节点的真实工作流定义。"""
+ return WorkflowDefinition.from_dict({
+ "name": "批量流程",
+ "version": 1,
+ "nodes": [{"id": "step", "node_type": "echo", "inputs": {"file_uri": "input.video_uri"}}],
+ "edges": [],
+ "entry_inputs": {"video_uri": "file"},
+ "final_outputs": {"result": final_output},
+ })
+
+
+def _published_db(tmp_path: Path, workflow_id: str = "wf") -> Database:
+ """建好已发布工作流（含版本）的临时库。"""
+ db = Database(tmp_path / "wov.db")
+ db.upsert_workflow({
+ "id": workflow_id, "name": "批量流程", "description": "", "published": 1,
+ "latest_version": 1,
+ })
+ db.create_workflow_version(workflow_id, 1, _echo_definition().to_dict())
+ return db
+
+
+# ---------------------------------------------------------------------------
+# 扫描与旁挂字幕判定
+# ---------------------------------------------------------------------------
+
+
+def test_scan_videos_recursive_and_flat(tmp_path: Path) -> None:
+ """递归扫描包含子目录视频；非递归只扫顶层；结果按路径排序。"""
+ # 数据：顶层 2 个视频 + 子目录 1 个视频 + 1 个非视频文件。
+ _make_video(tmp_path / "b.mp4")
+ _make_video(tmp_path / "a.mkv")
+ _make_video(tmp_path / "sub" / "c.mp4")
+ (tmp_path / "note.txt").write_text("x", encoding="utf-8")
+
+ # 测试过程
+ recursive = [p.name for p in scan_videos(tmp_path, recursive=True)]
+ flat = [p.name for p in scan_videos(tmp_path, recursive=False)]
+
+ # 验证结果
+ assert recursive == ["a.mkv", "b.mp4", "c.mp4"]
+ assert flat == ["a.mkv", "b.mp4"]
+
+
+def test_video_extensions_are_lowercase_dotted() -> None:
+ """视频扩展名集合为小写带点形式（与 suffix.lower() 比较一致）。"""
+ # 数据：模块常量。
+ # 测试过程与验证结果
+ assert all(ext.startswith(".") and ext.islower() for ext in VIDEO_EXTENSIONS)
+ assert ".mp4" in VIDEO_EXTENSIONS and ".mkv" in VIDEO_EXTENSIONS
+
+
+def test_list_sidecar_subtitles_matches_by_stem(tmp_path: Path) -> None:
+ """视频旁含视频主名的字幕文件被识别（含 CN/dual_eye 等约定命名）。"""
+ # 数据：视频 + 三种约定命名的字幕 + 一个无关文件。
+ video = _make_video(tmp_path / "movie.mp4")
+ expected = [
+ tmp_path / "movie.CN.srt",
+ tmp_path / "movie.CN_dual_eye.ass",
+ tmp_path / "movie.srt",
+ ]
+ for path in expected:
+ path.write_text("1\n", encoding="utf-8")
+ (tmp_path / "other.srt").write_text("1\n", encoding="utf-8")
+
+ # 测试过程
+ found = list_sidecar_subtitles(video)
+
+ # 验证结果：三个匹配、无关文件不在结果里。
+ assert set(found) == set(expected)
+ assert (tmp_path / "other.srt") not in found
+
+
+def test_list_sidecar_subtitles_ignores_non_subtitle_files(tmp_path: Path) -> None:
+ """同名但非字幕扩展名的文件不算旁挂字幕。"""
+ # 数据：视频 + 同名字幕 + 同名文本。
+ video = _make_video(tmp_path / "movie.mp4")
+ srt = tmp_path / "movie.srt"
+ srt.write_text("1\n", encoding="utf-8")
+ (tmp_path / "movie.txt").write_text("x", encoding="utf-8")
+
+ # 测试过程
+ found = list_sidecar_subtitles(video)
+
+ # 验证结果
+ assert found == [srt]
+
+
+def test_list_sidecar_subtitles_short_stem_requires_dot_prefix(tmp_path: Path) -> None:
+ """视频主名只有一个字符时只接受"主名."前缀，避免 a.mp4 误配 apple.srt。"""
+ # 数据：a.mp4 + apple.srt（不应命中）+ a.srt（应命中）。
+ video = _make_video(tmp_path / "a.mp4")
+ (tmp_path / "apple.srt").write_text("1\n", encoding="utf-8")
+ good = tmp_path / "a.srt"
+ good.write_text("1\n", encoding="utf-8")
+
+ # 测试过程
+ found = list_sidecar_subtitles(video)
+
+ # 验证结果
+ assert found == [good]
+
+
+def test_subtitle_extensions_cover_common_formats() -> None:
+ """字幕扩展名覆盖 srt/ass/ssa/vtt。"""
+ # 数据：模块常量。
+ # 测试过程与验证结果
+ assert SUBTITLE_EXTENSIONS == {".srt", ".ass", ".ssa", ".vtt"}
+
+
+# ---------------------------------------------------------------------------
+# 产物命名映射
+# ---------------------------------------------------------------------------
+
+
+def test_sidecar_product_name_maps_srt_and_ass() -> None:
+ """最终产物映射为媒体库约定名（.srt → CN.srt，.ass → CN_dual_eye.ass）。"""
+ # 数据：视频与两类最终产物。
+ video = Path("/videos/movie.mp4")
+
+ # 测试过程与验证结果
+ assert _sidecar_product_name(video, Path("/tmp/x.zh-CN.20260101.srt")) == "movie.CN.srt"
+ assert _sidecar_product_name(video, Path("/tmp/x.ass")) == "movie.CN_dual_eye.ass"
+
+
+def test_sidecar_product_name_keeps_other_extensions() -> None:
+ """其他扩展名产物保留原文件名（不误改语义）。"""
+ # 数据：vtt 产物。
+ # 测试过程与验证结果
+ assert _sidecar_product_name(Path("/v/movie.mp4"), Path("/tmp/movie.vtt")) == "movie.vtt"
+
+
+# ---------------------------------------------------------------------------
+# 完成标记与工作空间清理
+# ---------------------------------------------------------------------------
+
+
+def test_load_marker_reads_valid_json(tmp_path: Path) -> None:
+ """旧版完成标记（batch.done.json）可读回字典。"""
+ # 数据：真实标记文件。
+ work = tmp_path / "work"
+ work.mkdir()
+ payload = {"finals": {"cn_srt_uri": "/videos/movie.CN.srt"}}
+ (work / MARKER_NAME).write_text(json.dumps(payload, ensure_ascii=False), encoding="utf-8")
+
+ # 测试过程
+ marker = load_marker(work)
+
+ # 验证结果
+ assert marker == payload
+
+
+def test_load_marker_returns_none_for_corrupt_or_missing(tmp_path: Path) -> None:
+ """标记缺失或内容损坏时返回 None（走旁挂字幕判定，不报错）。"""
+ # 数据：不存在标记 + 损坏标记。
+ work = tmp_path / "work"
+ work.mkdir()
+ assert load_marker(work) is None
+ (work / MARKER_NAME).write_text("{broken", encoding="utf-8")
+
+ # 测试过程与验证结果
+ assert load_marker(work) is None
+
+
+def test_remove_job_workspace_only_touches_private_dir(tmp_path: Path, monkeypatch) -> None:
+ """删除任务只清理应用私有工作空间，不触碰用户视频目录。"""
+ # 数据：私有工作空间 + 用户媒体目录。
+ private = tmp_path / "storage" / "batch" / "job-1"
+ private.mkdir(parents=True)
+ (private / "temp.wav").write_bytes(b"x")
+ media = tmp_path / "media"
+ _make_video(media / "movie.mp4")
+ monkeypatch.setattr("wov_app.batch.BATCH_WORK_ROOT", tmp_path / "storage" / "batch")
+
+ # 测试过程
+ remove_job_workspace("job-1")
+
+ # 验证结果：私有空间被删，用户目录完整。
+ assert not private.exists()
+ assert (media / "movie.mp4").is_file()
+
+
+# ---------------------------------------------------------------------------
+# 创建批量任务：一次性定位
+# ---------------------------------------------------------------------------
+
+
+def test_create_job_registers_pending_and_skipped(tmp_path: Path) -> None:
+ """创建任务一次性定位视频：无字幕记 PENDING，已有字幕记 SKIPPED。"""
+ # 数据：3 个视频，其中一个已有旁挂字幕。
+ folder = tmp_path / "videos"
+ _make_video(folder / "a.mp4")
+ _make_video(folder / "b.mp4")
+ _make_video(folder / "c.mp4")
+ (folder / "b.CN.srt").write_text("1\n", encoding="utf-8")
+ db = _published_db(tmp_path)
+
+ # 测试过程
+ job_id = create_job(db, str(folder), "wf", recursive=False)
+ videos = db.list_batch_videos(job_id)
+
+ # 验证结果：状态分布正确，总数只算待处理。
+ statuses = {Path(v["video_path"]).name: v["status"] for v in videos}
+ assert statuses == {"a.mp4": "PENDING", "b.mp4": "SKIPPED", "c.mp4": "PENDING"}
+ job = db.get_batch_job(job_id)
+ assert job["total"] == 2
+ assert job["status"] == "QUEUED"
+
+
+def test_create_job_completes_immediately_when_all_skipped(tmp_path: Path) -> None:
+ """全部视频都已有字幕时任务直接完成，不排队不触发流水线。"""
+ # 数据：两个视频都带字幕。
+ folder = tmp_path / "videos"
+ _make_video(folder / "a.mp4")
+ _make_video(folder / "b.mp4")
+ (folder / "a.srt").write_text("1\n", encoding="utf-8")
+ (folder / "b.srt").write_text("1\n", encoding="utf-8")
+ db = _published_db(tmp_path)
+
+ # 测试过程
+ job_id = create_job(db, str(folder), "wf")
+
+ # 验证结果
+ job = db.get_batch_job(job_id)
+ assert job["status"] == "COMPLETED"
+ assert job["total"] == 0
+ assert db.next_queued_batch_job() is None
+
+
+def test_create_job_uses_private_work_dir(tmp_path: Path, monkeypatch) -> None:
+ """明细的工作空间位于应用私有目录（与用户媒体库隔离）。"""
+ # 数据：一个视频。
+ folder = tmp_path / "videos"
+ _make_video(folder / "a.mp4")
+ db = _published_db(tmp_path)
+ monkeypatch.setattr("wov_app.batch.BATCH_WORK_ROOT", tmp_path / "storage" / "batch")
+
+ # 测试过程
+ job_id = create_job(db, str(folder), "wf")
+ video = db.list_batch_videos(job_id)[0]
+
+ # 验证结果：work_dir 在私有 storage/batch 下，且不在视频目录内。
+ work_dir = Path(video["work_dir"])
+ assert (tmp_path / "storage" / "batch") in work_dir.parents
+ assert folder not in work_dir.parents
+
+
+@pytest.mark.parametrize(
+ ("folder_setup", "workflow_id", "message"),
+ [
+ ("missing", "wf", "folder not found"),
+ ("empty", "wf", "no videos found"),
+ ("ok", "unknown", "published workflow not found"),
+ ],
+)
+def test_create_job_rejects_invalid_input(tmp_path: Path, folder_setup: str, workflow_id: str, message: str) -> None:
+ """校验失败时抛 ValueError（路由层转 422）：目录缺失/无视频/工作流未发布。"""
+ # 数据：按参数准备目录与工作流。
+ folder = tmp_path / "videos"
+ if folder_setup == "empty":
+ folder.mkdir()
+ elif folder_setup == "ok":
+ _make_video(folder / "a.mp4")
+ db = _published_db(tmp_path)
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match=message):
+ create_job(db, str(folder), workflow_id)
+
+
+def test_create_job_rejects_workflow_without_version(tmp_path: Path) -> None:
+ """已发布但无版本记录的工作流被拒绝（无法执行）。"""
+ # 数据：有工作流记录但无版本。
+ folder = tmp_path / "videos"
+ _make_video(folder / "a.mp4")
+ db = Database(tmp_path / "wov.db")
+ db.upsert_workflow({"id": "wf", "name": "无版本", "description": "", "published": 1})
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="no version"):
+ create_job(db, str(folder), "wf")
+
+
+# ---------------------------------------------------------------------------
+# 引擎：执行、产物放置、暂停
+# ---------------------------------------------------------------------------
+
+
+def test_worker_processes_pending_video_end_to_end(tmp_path: Path, monkeypatch) -> None:
+ """引擎处理待处理视频：跑通流水线、产物放到视频旁、明细与任务标记完成。"""
+ # 数据：一个视频 + echo 单节点工作流（产物为复制后的输入文件）。
+ folder = tmp_path / "videos"
+ _make_video(folder / "movie.mp4")
+ db = _published_db(tmp_path)
+ monkeypatch.setattr("wov_app.batch.BATCH_WORK_ROOT", tmp_path / "storage" / "batch")
+ registry.register_all()
+ job_id = create_job(db, str(folder), "wf")
+
+ # 测试过程：直接驱动一轮处理（避免后台线程时序不确定）。
+ worker = BatchWorker(db, interval_seconds=999)
+ worker._process_job(db.get_batch_job(job_id))
+
+ # 验证结果：明细与任务完成，产物按约定名放到视频旁，工作空间被清理。
+ item = db.list_batch_videos(job_id)[0]
+ assert item["status"] == "COMPLETED"
+ assert db.get_batch_job(job_id)["status"] == "COMPLETED"
+ # echo 节点产物是 .txt，按约定保留原文件名放置在视频旁。
+ assert list(folder.glob("movie.*")), "应在视频旁放置最终产物"
+
+
+def test_worker_skips_video_with_sidecar_subtitle(tmp_path: Path, monkeypatch) -> None:
+ """已有旁挂字幕的视频不触发流水线（SKIPPED 不产生 run）。"""
+ # 数据：一个已带字幕的视频。
+ folder = tmp_path / "videos"
+ _make_video(folder / "movie.mp4")
+ (folder / "movie.CN.srt").write_text("1\n", encoding="utf-8")
+ _make_video(folder / "other.mp4")
+ db = _published_db(tmp_path)
+ monkeypatch.setattr("wov_app.batch.BATCH_WORK_ROOT", tmp_path / "storage" / "batch")
+ registry.register_all()
+
+ # 测试过程
+ job_id = create_job(db, str(folder), "wf")
+
+ # 验证结果：SKIPPED 视频没有 run_id。
+ videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job_id)}
+ assert videos["movie.mp4"]["status"] == "SKIPPED"
+ assert videos["movie.mp4"]["run_id"] is None
+ assert videos["other.mp4"]["status"] == "PENDING"
+
+
+def test_worker_pause_sets_job_paused(tmp_path: Path, monkeypatch) -> None:
+ """暂停批量任务：任务状态置 PAUSED，待处理视频不被推进。"""
+ # 数据：一个待处理视频的任务。
+ folder = tmp_path / "videos"
+ _make_video(folder / "a.mp4")
+ db = _published_db(tmp_path)
+ monkeypatch.setattr("wov_app.batch.BATCH_WORK_ROOT", tmp_path / "storage" / "batch")
+ job_id = create_job(db, str(folder), "wf")
+
+ # 测试过程
+ db.update_batch_job(job_id, status="PAUSED", updated_at="2026-09-01T01:00:00+00:00")
+
+ # 验证结果：不会被 next_queued_batch_job 拾起（等待显式 resume）。
+ assert db.next_queued_batch_job() is None
+ assert db.get_batch_job(job_id)["status"] == "PAUSED"
+
+
+def test_worker_start_stop_idempotent(tmp_path: Path) -> None:
+ """引擎 start 重复调用不产生多余线程；stop 正常结束。"""
+ # 数据：空库。
+ db = Database(tmp_path / "wov.db")
+ worker = BatchWorker(db, interval_seconds=999)
+
+ # 测试过程
+ worker.start()
+ first = worker._thread
+ worker.start()
+ second = worker._thread
+ worker.stop()
+
+ # 验证结果
+ assert first is second
+ assert worker._thread is None
diff --git a/tests/app/test_config/__init__.py b/tests/app/test_config/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_config/test_config.py b/tests/app/test_config/test_config.py
new file mode 100644
index 0000000..726ca46
--- /dev/null
+++ b/tests/app/test_config/test_config.py
@@ -0,0 +1,194 @@
+"""src/wov_app/config.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/config.py`（环境变量读取与路径推导），可独立调用。
+由于该模块在**导入时**锁定路径常量，隔离用例在子进程中运行（真实导入路径
++ 干净环境），其余用例校验默认值与类型。
+
+注意：config 的路径常量在进程内已固化，因此"环境变量覆盖"必须用子进程验证，
+否则测的是缓存值而非真实行为（这也是规则要求"可独立运行、不依赖外部配置"
+的具体体现）。
+"""
+
+from __future__ import annotations
+
+import json
+import subprocess
+import sys
+from pathlib import Path
+
+import pytest
+
+from wov_app import config
+
+# 仓库根目录（config.WORKSPACE_ROOT 应该指向它）。
+WORKSPACE = Path(__file__).resolve().parents[3]
+
+
+# 与路径相关的环境变量：子进程验证前必须清除，否则会继承外层测试隔离值。
+_PATH_ENV_KEYS = (
+ "WOV_DATA_DIR", "WOV_DB_PATH", "WOV_STORAGE_DIR",
+ "WOV_SCHEDULER_INTERVAL_SECONDS", "WOV_BATCH_INTERVAL_SECONDS",
+ "WOV_CLEANUP_INTERVAL_SECONDS", "WOV_CLEANUP_GRACE_SECONDS",
+ "WOV_BATCH_ENABLED", "WOV_CLEANUP_ENABLED",
+)
+
+
+def _run_in_subprocess(code: str, env: dict[str, str] | None = None) -> dict:
+ """在干净子进程中导入 config 并返回指定变量（真实进程隔离）。
+
+ 先清除全部相关环境变量，再用 env 注入本次用例的值，保证测到的是
+ config 的真实解析逻辑而不是外层测试运行环境。
+ """
+ script = (
+ "import json\n"
+ "from wov_app import config\n"
+ f"{code}\n"
+ "print(json.dumps(result))\n"
+ )
+ clean_env = {k: v for k, v in __import__("os").environ.items() if k not in _PATH_ENV_KEYS}
+ clean_env.update(env or {})
+ result = subprocess.run(
+ [sys.executable, "-c", script],
+ capture_output=True,
+ text=True,
+ cwd=str(WORKSPACE),
+ env=clean_env,
+ )
+ assert result.returncode == 0, result.stderr
+ return json.loads(result.stdout.strip().splitlines()[-1])
+
+
+# ---------------------------------------------------------------------------
+# 默认值（当前进程内已导入的常量）
+# ---------------------------------------------------------------------------
+
+
+def test_workspace_root_points_to_repo_root() -> None:
+ """WORKSPACE_ROOT 指向仓库根（用于推导其余路径）。"""
+ # 数据：模块常量。
+ # 测试过程与验证结果
+ assert config.WORKSPACE_ROOT == WORKSPACE
+ assert (config.WORKSPACE_ROOT / "pyproject.toml").is_file()
+
+
+def test_default_paths_are_under_data_dir() -> None:
+ """无环境变量时默认路径为 <仓库根>/data 下的推导值（子进程验证真实默认）。"""
+ # 数据：清空全部相关环境变量。
+ # 测试过程
+ result = _run_in_subprocess(
+ "result = {'root': str(config.WORKSPACE_ROOT), 'data': str(config.DATA_DIR), "
+ "'db': str(config.DB_PATH), 'storage': str(config.STORAGE_DIR), "
+ "'batch': config.BATCH_ENABLED, 'cleanup': config.CLEANUP_ENABLED}"
+ )
+
+ # 验证结果：默认 data 目录在仓库根下，db/storage 由它推导，开关默认开。
+ assert result["root"] == str(WORKSPACE)
+ assert result["data"] == str(WORKSPACE / "data")
+ assert result["db"] == str(WORKSPACE / "data" / "wov.db")
+ assert result["storage"] == str(WORKSPACE / "data" / "storage")
+ assert result["batch"] is True
+ assert result["cleanup"] is True
+
+
+def test_numeric_settings_are_floats() -> None:
+ """数值型配置被解析为 float（避免字符串参与算术）。"""
+ # 数据：模块常量。
+ # 测试过程与验证结果
+ for value in (
+ config.SCHEDULER_INTERVAL_SECONDS,
+ config.BATCH_INTERVAL_SECONDS,
+ config.CLEANUP_INTERVAL_SECONDS,
+ config.CLEANUP_GRACE_SECONDS,
+ ):
+ assert isinstance(value, float)
+ assert value > 0
+
+
+def test_boolean_settings_are_bool() -> None:
+ """布尔型开关被解析为 bool，默认全部开启（1）。"""
+ # 数据：模块常量（测试运行环境由隔离层设为 0，故仅校验类型）。
+ # 测试过程与验证结果
+ for value in (config.BATCH_ENABLED, config.CLEANUP_ENABLED):
+ assert isinstance(value, bool)
+
+
+# ---------------------------------------------------------------------------
+# 环境变量覆盖（子进程真实导入）
+# ---------------------------------------------------------------------------
+
+
+def test_data_dir_env_override_changes_all_derived_paths(tmp_path: Path) -> None:
+ """WOV_DATA_DIR 覆盖后，DB_PATH 与 STORAGE_DIR 随之推导（路径联动）。"""
+ # 数据：自定义数据目录。
+ custom = tmp_path / "custom-data"
+
+ # 测试过程
+ result = _run_in_subprocess(
+ "result = {'data': str(config.DATA_DIR), 'db': str(config.DB_PATH), "
+ "'storage': str(config.STORAGE_DIR)}",
+ env={"WOV_DATA_DIR": str(custom)},
+ )
+
+ # 验证结果
+ assert result["data"] == str(custom)
+ assert result["db"] == str(custom / "wov.db")
+ assert result["storage"] == str(custom / "storage")
+
+
+def test_explicit_db_and_storage_env_take_precedence(tmp_path: Path) -> None:
+ """WOV_DB_PATH / WOV_STORAGE_DIR 可独立覆盖（不跟随 DATA_DIR）。"""
+ # 数据：分别指定的数据库与存储路径。
+ db_path = tmp_path / "x" / "custom.db"
+ storage = tmp_path / "y" / "store"
+
+ # 测试过程
+ result = _run_in_subprocess(
+ "result = {'db': str(config.DB_PATH), 'storage': str(config.STORAGE_DIR)}",
+ env={"WOV_DB_PATH": str(db_path), "WOV_STORAGE_DIR": str(storage)},
+ )
+
+ # 验证结果
+ assert result["db"] == str(db_path)
+ assert result["storage"] == str(storage)
+
+
+def test_boolean_env_parsing() -> None:
+ """开关型环境变量：'1' 为 True，'0' 为 False。"""
+ # 数据：批量与清理开关分别置 1 与 0。
+ # 测试过程
+ result = _run_in_subprocess(
+ "result = {'batch': config.BATCH_ENABLED, 'cleanup': config.CLEANUP_ENABLED}",
+ env={"WOV_BATCH_ENABLED": "1", "WOV_CLEANUP_ENABLED": "0"},
+ )
+
+ # 验证结果
+ assert result["batch"] is True
+ assert result["cleanup"] is False
+
+
+def test_interval_env_parsing() -> None:
+ """轮询间隔环境变量被解析为对应浮点值。"""
+ # 数据：指定的调度与批量间隔。
+ # 测试过程
+ result = _run_in_subprocess(
+ "result = {'sched': config.SCHEDULER_INTERVAL_SECONDS, "
+ "'batch': config.BATCH_INTERVAL_SECONDS}",
+ env={"WOV_SCHEDULER_INTERVAL_SECONDS": "2.5", "WOV_BATCH_INTERVAL_SECONDS": "0.25"},
+ )
+
+ # 验证结果
+ assert result["sched"] == 2.5
+ assert result["batch"] == 0.25
+
+
+def test_paths_are_pathlib_objects(tmp_path: Path) -> None:
+ """路径配置是 pathlib.Path（跨平台，不写死 Windows 盘符）。"""
+ # 数据：自定义数据目录。
+ # 测试过程
+ result = _run_in_subprocess(
+ "result = {'is_path': isinstance(config.DATA_DIR, __import__('pathlib').Path)}",
+ env={"WOV_DATA_DIR": str(tmp_path / "d")},
+ )
+
+ # 验证结果
+ assert result["is_path"] is True
diff --git a/tests/app/test_db/__init__.py b/tests/app/test_db/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_db/test_database.py b/tests/app/test_db/test_database.py
new file mode 100644
index 0000000..f865bef
--- /dev/null
+++ b/tests/app/test_db/test_database.py
@@ -0,0 +1,332 @@
+"""src/wov_app/db.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/db.py`（SQLite Repository：工作流/版本/任务/产物/
+批量任务），可独立调用。每个用例在临时目录创建独立数据库文件（真实 SQLite），
+不依赖全局 conftest。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from wov_app.db import Database
+
+
+@pytest.fixture()
+def db(tmp_path: Path) -> Database:
+ """每个用例一个独立 SQLite 库（真实文件，非内存桩）。"""
+ return Database(tmp_path / "wov.db")
+
+
+@pytest.fixture()
+def db_with_workflow(db: Database) -> Database:
+ """已建好工作流（含 v1 版本）的库：任务表对 workflow_id 有外键约束。"""
+ db.upsert_workflow(_workflow("wf"))
+ db.create_workflow_version("wf", 1, {"nodes": []})
+ return db
+
+
+def _workflow(workflow_id: str = "wf", name: str = "流程") -> dict:
+ """构造真实工作流记录字段。"""
+ return {"id": workflow_id, "name": name, "description": ""}
+
+
+def _run(run_id: str = "run-1", **overrides) -> dict:
+ """构造真实任务记录字段（默认 upload 来源、QUEUED 状态）。"""
+ record = {
+ "id": run_id,
+ "workflow_id": "wf",
+ "workflow_version": 1,
+ "status": "QUEUED",
+ "current_node_id": None,
+ "progress": 0.0,
+ "error": None,
+ "input_uri": None,
+ "param_overrides": None,
+ "source": "upload",
+ "created_at": "2026-09-01T00:00:00+00:00",
+ "updated_at": "2026-09-01T00:00:00+00:00",
+ }
+ record.update(overrides)
+ return record
+
+
+# ---------------------------------------------------------------------------
+# 工作流与版本
+# ---------------------------------------------------------------------------
+
+
+def test_upsert_and_get_workflow(db: Database) -> None:
+ """工作流写入后可读回，重复写入同 ID 覆盖而不报错。"""
+ # 数据：一条工作流记录。
+ db.upsert_workflow(_workflow("wf-1", "初版"))
+
+ # 测试过程
+ stored = db.get_workflow("wf-1")
+ db.upsert_workflow(_workflow("wf-1", "改名"))
+ renamed = db.get_workflow("wf-1")
+
+ # 验证结果
+ assert stored["name"] == "初版"
+ assert renamed["name"] == "改名"
+
+
+def test_list_and_delete_workflow(db: Database) -> None:
+ """列出全部工作流；删除后不再出现在列表与查询中。"""
+ # 数据：两条工作流。
+ db.upsert_workflow(_workflow("wf-1"))
+ db.upsert_workflow(_workflow("wf-2"))
+
+ # 测试过程
+ before = {w["id"] for w in db.list_workflows()}
+ db.delete_workflow("wf-1")
+ after = {w["id"] for w in db.list_workflows()}
+
+ # 验证结果
+ assert before == {"wf-1", "wf-2"}
+ assert after == {"wf-2"}
+ assert db.get_workflow("wf-1") is None
+
+
+def test_workflow_versions_and_latest(db: Database) -> None:
+ """版本按序保存，latest 返回最高版本，可按版本号精确读取。"""
+ # 数据：同一工作流的 v1 与 v2 定义。
+ db.upsert_workflow(_workflow("wf-1"))
+ db.create_workflow_version("wf-1", 1, {"nodes": [{"id": "a"}]})
+ db.create_workflow_version("wf-1", 2, {"nodes": [{"id": "a"}, {"id": "b"}]})
+
+ # 测试过程
+ latest = db.get_latest_workflow_version("wf-1")
+ first = db.get_workflow_version("wf-1", 1)
+ versions = db.list_workflow_versions("wf-1")
+
+ # 验证结果
+ assert latest["version"] == 2
+ assert len(latest["definition"]["nodes"]) == 2
+ assert first["definition"]["nodes"] == [{"id": "a"}]
+ assert [v["version"] for v in versions] == [2, 1]
+
+
+def test_workflow_version_missing_returns_none(db: Database) -> None:
+ """不存在的工作流/版本返回 None（不做隐式创建）。"""
+ # 数据：空库。
+ # 测试过程与验证结果
+ assert db.get_latest_workflow_version("nope") is None
+ assert db.get_workflow_version("nope", 1) is None
+
+
+# ---------------------------------------------------------------------------
+# 任务：创建、读写、param_overrides
+# ---------------------------------------------------------------------------
+
+
+def test_create_and_get_run_with_overrides(db_with_workflow: Database) -> None:
+ """任务创建后可读回，param_overrides 以 JSON 存储并解析回字典。"""
+ # 数据：带参数覆盖的 upload 任务。
+ db_with_workflow.create_run(_run("r1", param_overrides={"frame-extract": {"crop": [0, 0.75, 1, 0.25]}}))
+
+ # 测试过程
+ stored = db_with_workflow.get_run("r1")
+
+ # 验证结果
+ assert stored["status"] == "QUEUED"
+ assert stored["source"] == "upload"
+ assert stored["param_overrides"] == {"frame-extract": {"crop": [0, 0.75, 1, 0.25]}}
+
+
+def test_update_run_fields(db_with_workflow: Database) -> None:
+ """update_run 按字段更新（状态/进度/错误）。"""
+ # 数据：一条任务。
+ db_with_workflow.create_run(_run("r1"))
+
+ # 测试过程
+ db_with_workflow.update_run("r1", status="RUNNING", progress=0.5, error=None, updated_at="t2")
+ stored = db_with_workflow.get_run("r1")
+
+ # 验证结果
+ assert stored["status"] == "RUNNING"
+ assert stored["progress"] == 0.5
+
+
+def test_list_runs_orders_by_created_at_desc(db_with_workflow: Database) -> None:
+ """任务列表按创建时间倒序返回（新的在前）。"""
+ # 数据：三条不同创建时间的任务。
+ db_with_workflow.create_run(_run("old", created_at="2026-09-01T00:00:00+00:00"))
+ db_with_workflow.create_run(_run("mid", created_at="2026-09-02T00:00:00+00:00"))
+ db_with_workflow.create_run(_run("new", created_at="2026-09-03T00:00:00+00:00"))
+
+ # 测试过程
+ ids = [r["id"] for r in db_with_workflow.list_runs()]
+
+ # 验证结果
+ assert ids == ["new", "mid", "old"]
+
+
+def test_delete_run_removes_record_and_artifacts(db_with_workflow: Database) -> None:
+ """删除任务同时清理其产物记录。"""
+ # 数据：任务 + 一条产物。
+ db_with_workflow.create_run(_run("r1"))
+ db_with_workflow.create_artifact({
+ "run_id": "r1", "node_id": "a", "name": "a.data_uri", "uri": "/tmp/x", "kind": "file",
+ })
+
+ # 测试过程
+ db_with_workflow.delete_run("r1")
+
+ # 验证结果
+ assert db_with_workflow.get_run("r1") is None
+ assert db_with_workflow.list_artifacts("r1") == []
+
+
+# ---------------------------------------------------------------------------
+# 调度用查询：只有 QUEUED 会被拾起
+# ---------------------------------------------------------------------------
+
+
+def test_next_queued_run_returns_oldest_queued(db_with_workflow: Database) -> None:
+ """按创建时间返回最早的 QUEUED 任务。"""
+ # 数据：一条较早的 QUEUED。
+ db_with_workflow.create_run(_run("a", created_at="2026-09-01T00:00:00+00:00"))
+
+ # 测试过程
+ picked = db_with_workflow.next_queued_run()
+
+ # 验证结果
+ assert picked["id"] == "a"
+
+
+def test_next_queued_run_skips_paused(db_with_workflow: Database) -> None:
+ """PAUSED 不被拾起（必须显式 resume；修复"点击暂停反而开始任务"回归）。"""
+ # 数据：一条 PAUSED（更早）+ 一条 QUEUED（更晚）。
+ db_with_workflow.create_run(_run("paused", status="PAUSED", created_at="2026-09-01T00:00:00+00:00"))
+ db_with_workflow.create_run(_run("queued", created_at="2026-09-02T00:00:00+00:00"))
+
+ # 测试过程
+ picked = db_with_workflow.next_queued_run()
+
+ # 验证结果：取的是 QUEUED 那条。
+ assert picked["id"] == "queued"
+
+
+def test_next_queued_run_skips_batch_source(db_with_workflow: Database) -> None:
+ """source=batch 的任务由批量引擎执行，主调度器不拾起（存储目录不同）。"""
+ # 数据：一条 batch 来源的 QUEUED。
+ db_with_workflow.create_run(_run("batch-1", source="batch"))
+
+ # 测试过程与验证结果
+ assert db_with_workflow.next_queued_run() is None
+
+
+def test_pause_and_resume_run(db_with_workflow: Database) -> None:
+ """暂停置 PAUSED，继续置回 QUEUED（等待调度器断点续跑）。"""
+ # 数据：一条 QUEUED。
+ db_with_workflow.create_run(_run("r1"))
+
+ # 测试过程
+ db_with_workflow.pause_run("r1", "t2")
+ paused = db_with_workflow.get_run("r1")["status"]
+ db_with_workflow.resume_run("r1", "t3")
+ resumed = db_with_workflow.get_run("r1")["status"]
+
+ # 验证结果
+ assert paused == "PAUSED"
+ assert resumed == "QUEUED"
+
+
+def test_recover_interrupted_runs_requeues_running_only(db_with_workflow: Database) -> None:
+ """重启恢复：RUNNING → QUEUED，PAUSED 保持不变。"""
+ # 数据：RUNNING 与 PAUSED 各一条。
+ db_with_workflow.create_run(_run("running", status="RUNNING"))
+ db_with_workflow.create_run(_run("paused", status="PAUSED"))
+
+ # 测试过程
+ count = db_with_workflow.recover_interrupted_runs("t2")
+
+ # 验证结果：只恢复 1 条，PAUSED 不变。
+ assert count == 1
+ assert db_with_workflow.get_run("running")["status"] == "QUEUED"
+ assert db_with_workflow.get_run("paused")["status"] == "PAUSED"
+
+
+def test_recover_interrupted_batch_jobs_requeues_running(db_with_workflow: Database) -> None:
+ """重启恢复：RUNNING 的批量任务 → QUEUED（否则永久无人拾起）。"""
+ # 数据：一条 RUNNING 批量任务（批量明细表对 run 有外键，先建任务记录）。
+ db_with_workflow.create_run(_run("bv-run-1"))
+ db_with_workflow.create_batch_job({
+ "id": "job-1", "folder_path": "/videos", "workflow_id": "wf", "recursive": False,
+ "status": "RUNNING", "created_at": "t1", "updated_at": "t1",
+ })
+
+ # 测试过程
+ count = db_with_workflow.recover_interrupted_batch_jobs("t2")
+
+ # 验证结果
+ assert count == 1
+ assert db_with_workflow.get_batch_job("job-1")["status"] == "QUEUED"
+
+
+# ---------------------------------------------------------------------------
+# 产物与断点恢复
+# ---------------------------------------------------------------------------
+
+
+def test_create_and_get_artifact(db_with_workflow: Database) -> None:
+ """产物按 run + name 记录，可按名精确读取。"""
+ # 数据：一条任务 + 一条产物（产物对 run 有外键）。
+ db_with_workflow.create_run(_run("r1"))
+ db_with_workflow.create_artifact({
+ "run_id": "r1", "node_id": "ocr", "name": "ocr.srt_uri",
+ "uri": "/tmp/out/subtitle.srt", "kind": "file",
+ })
+
+ # 测试过程
+ stored = db_with_workflow.get_artifact("r1", "ocr.srt_uri")
+
+ # 验证结果
+ assert stored["uri"] == "/tmp/out/subtitle.srt"
+ assert db_with_workflow.get_artifact("r1", "missing") is None
+
+
+def test_restore_run_outputs_strips_node_prefix(db_with_workflow: Database) -> None:
+ """恢复产物时剥去"节点ID."前缀，还原为 {输出名: URI}（断点续跑依赖）。"""
+ # 数据：两个节点的产物。
+ db_with_workflow.create_run(_run("r1"))
+ db_with_workflow.create_artifact({"run_id": "r1", "node_id": "extract", "name": "extract.audio_uri", "uri": "/a.wav", "kind": "file"})
+ db_with_workflow.create_artifact({"run_id": "r1", "node_id": "asr", "name": "asr.srt_uri", "uri": "/a.srt", "kind": "file"})
+
+ # 测试过程
+ outputs = db_with_workflow.restore_run_outputs("r1")
+
+ # 验证结果
+ assert outputs == {
+ "extract": {"audio_uri": "/a.wav"},
+ "asr": {"srt_uri": "/a.srt"},
+ }
+
+
+def test_reset_run_clears_state_and_artifacts(db_with_workflow: Database) -> None:
+ """reset_run 清空产物与错误、回到 QUEUED（供失败任务重跑）。"""
+ # 数据：一条 FAILED 任务带产物与错误。
+ db_with_workflow.create_run(_run("r1", status="FAILED", error="boom"))
+ db_with_workflow.create_artifact({"run_id": "r1", "node_id": "a", "name": "a.x", "uri": "/x", "kind": "file"})
+
+ # 测试过程
+ db_with_workflow.reset_run("r1", "t2")
+ stored = db_with_workflow.get_run("r1")
+
+ # 验证结果
+ assert stored["status"] == "QUEUED"
+ assert stored["error"] is None
+ assert db_with_workflow.list_artifacts("r1") == []
+
+
+def test_list_run_ids(db_with_workflow: Database) -> None:
+ """列出全部任务 ID（供孤儿清理比对文件系统）。"""
+ # 数据：两条任务。
+ db_with_workflow.create_run(_run("r1"))
+ db_with_workflow.create_run(_run("r2"))
+
+ # 测试过程与验证结果
+ assert sorted(db_with_workflow.list_run_ids()) == ["r1", "r2"]
diff --git a/tests/app/test_logging/__init__.py b/tests/app/test_logging/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_logging/test_logging.py b/tests/app/test_logging/test_logging.py
new file mode 100644
index 0000000..1b163e6
--- /dev/null
+++ b/tests/app/test_logging/test_logging.py
@@ -0,0 +1,88 @@
+"""src/wov_app/logging.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/logging.py`（控制台日志配置），可独立调用。
+用例使用真实 logging 模块与真实日志记录，验证命名、处理器去重与传播设置。
+"""
+
+from __future__ import annotations
+
+import logging
+
+from wov_app.logging import _APP_LOGGER_NAME, _ensure_console_handler, get_logger
+
+
+def _strip_handlers(logger: logging.Logger) -> None:
+ """清空日志器处理器，保证用例从干净状态开始（模块自建隔离）。"""
+ for handler in list(logger.handlers):
+ logger.removeHandler(handler)
+
+
+def test_get_logger_uses_app_prefix() -> None:
+ """日志器名称带应用前缀，便于与其他库日志区分。"""
+ # 数据：模块名 "scheduler"。
+ # 测试过程
+ logger = get_logger("scheduler")
+
+ # 验证结果
+ assert logger.name == f"{_APP_LOGGER_NAME}.scheduler"
+ _strip_handlers(logger)
+
+
+def test_get_logger_attaches_console_handler_once() -> None:
+ """重复获取同一日志器不会重复附加处理器（避免日志重复打印）。"""
+ # 数据：先清空，再连续获取两次。
+ logger = get_logger("dup")
+ _strip_handlers(logger)
+
+ # 测试过程
+ first = get_logger("dup")
+ second = get_logger("dup")
+
+ # 验证结果：处理器只有 1 个。
+ assert first is second
+ assert len([h for h in second.handlers if isinstance(h, logging.StreamHandler)]) == 1
+ _strip_handlers(second)
+
+
+def test_get_logger_sets_info_level_and_no_propagation() -> None:
+ """日志级别为 INFO 且不向根日志传播（防止 uvicorn 重复输出）。"""
+ # 数据：新日志器。
+ logger = get_logger("levels")
+ _strip_handlers(logger)
+
+ # 测试过程
+ logger = get_logger("levels")
+
+ # 验证结果
+ assert logger.level == logging.INFO
+ assert logger.propagate is False
+ _strip_handlers(logger)
+
+
+def test_ensure_console_handler_is_idempotent() -> None:
+ """_ensure_console_handler 对已配置的日志器不再追加处理器。"""
+ # 数据：手工配置过的日志器。
+ logger = logging.getLogger("vrsub.idempotent")
+ _strip_handlers(logger)
+
+ # 测试过程
+ _ensure_console_handler(logger)
+ _ensure_console_handler(logger)
+
+ # 验证结果
+ assert len(logger.handlers) == 1
+ _strip_handlers(logger)
+
+
+def test_log_record_is_actually_emitted(capsys) -> None:
+ """日志记录真实写出到控制台（handler 生效，而非仅配置）。"""
+ # 数据：日志器 + 一条 INFO 记录。
+ logger = get_logger("emit")
+
+ # 测试过程
+ logger.info("测试日志 %s", "生效")
+
+ # 验证结果：输出内容包含格式化后的消息。
+ captured = capsys.readouterr()
+ assert "测试日志 生效" in (captured.err + captured.out)
+ _strip_handlers(logger)
diff --git a/tests/app/test_main/__init__.py b/tests/app/test_main/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_main/test_app.py b/tests/app/test_main/test_app.py
new file mode 100644
index 0000000..e4669c2
--- /dev/null
+++ b/tests/app/test_main/test_app.py
@@ -0,0 +1,216 @@
+"""src/wov_app/main.py 与 src/wov_app/schemas.py 的模块级测试。
+
+被测模块：
+- `src/wov_app/main.py`：FastAPI 应用装配（生命周期、路由挂载、静态前端、
+ 健康检查、重启恢复）；
+- `src/wov_app/schemas.py`：管理端请求模型（Pydantic）。
+
+用例通过真实 TestClient 触发完整生命周期（启动/关闭），验证后台服务被正确
+创建与回收、恢复逻辑被调用、静态前端可访问。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+from fastapi.testclient import TestClient
+
+from wov_app.main import app as fastapi_app
+from wov_app.schemas import BatchJobCreate, WorkflowCreate
+
+
+@pytest.fixture()
+def client(tmp_path: Path, monkeypatch) -> TestClient:
+ """隔离数据库与存储的真实 TestClient（关闭后台线程便于断言状态）。"""
+ monkeypatch.setattr("wov_app.config.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.config.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setattr("wov_app.main.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.main.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setattr("wov_app.batch.BATCH_WORK_ROOT", tmp_path / "storage" / "batch")
+ monkeypatch.setenv("WOV_AUTO_SEED", "0")
+ monkeypatch.setenv("WOV_SCHEDULER_ENABLED", "0")
+ monkeypatch.setenv("WOV_CLEANUP_ENABLED", "0")
+ monkeypatch.setenv("WOV_BATCH_ENABLED", "0")
+ with TestClient(fastapi_app) as test_client:
+ yield test_client
+
+
+# ---------------------------------------------------------------------------
+# 生命周期装配
+# ---------------------------------------------------------------------------
+
+
+def test_lifespan_registers_nodes_and_state(client: TestClient) -> None:
+ """启动后节点注册表就绪，且 app.state 上挂好了库/调度器/清理器/批量引擎。"""
+ # 数据：真实应用生命周期。
+ # 测试过程
+ state = client.app.state
+ nodes = {m.id for m in __import__("wov_app.registry", fromlist=["list_nodes"]).list_nodes()}
+
+ # 验证结果
+ assert "echo" in nodes and "faster-whisper" in nodes
+ assert state.db is not None
+ assert state.scheduler is not None
+ assert state.cleaner is not None
+ assert state.batch is not None
+
+
+def test_lifespan_recovers_interrupted_runs(tmp_path: Path, monkeypatch) -> None:
+ """重启恢复：遗留 RUNNING 任务在启动时被恢复为 QUEUED。"""
+ # 数据：预先在目标库里写入一条 RUNNING 任务（含工作流与版本）。
+ from wov_app.db import Database
+
+ db_path = tmp_path / "wov.db"
+ db = Database(db_path)
+ db.upsert_workflow({"id": "wf", "name": "x", "description": "", "published": 1, "latest_version": 1})
+ db.create_workflow_version("wf", 1, {"nodes": [], "edges": []})
+ db.create_run({
+ "id": "run-stale", "workflow_id": "wf", "workflow_version": 1, "status": "RUNNING",
+ "current_node_id": None, "progress": 0.5, "error": None, "input_uri": None,
+ "param_overrides": None, "source": "upload",
+ "created_at": "2026-09-01T00:00:00+00:00", "updated_at": "2026-09-01T00:00:00+00:00",
+ })
+ monkeypatch.setattr("wov_app.config.DB_PATH", db_path)
+ monkeypatch.setattr("wov_app.main.DB_PATH", db_path)
+ monkeypatch.setattr("wov_app.config.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setattr("wov_app.main.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setenv("WOV_AUTO_SEED", "0")
+ monkeypatch.setenv("WOV_SCHEDULER_ENABLED", "0")
+ monkeypatch.setenv("WOV_CLEANUP_ENABLED", "0")
+ monkeypatch.setenv("WOV_BATCH_ENABLED", "0")
+
+ # 测试过程：进入生命周期触发恢复逻辑。
+ with TestClient(fastapi_app):
+ recovered = Database(db_path).get_run("run-stale")
+
+ # 验证结果
+ assert recovered["status"] == "QUEUED"
+
+
+def test_lifespan_seeds_workflows_when_enabled(tmp_path: Path, monkeypatch) -> None:
+ """开启自动种子时启动创建内置工作流（数据驱动）。"""
+ # 数据：目标库 + 开启 seed。
+ db_path = tmp_path / "wov.db"
+ monkeypatch.setattr("wov_app.config.DB_PATH", db_path)
+ monkeypatch.setattr("wov_app.main.DB_PATH", db_path)
+ monkeypatch.setattr("wov_app.config.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setattr("wov_app.main.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setenv("WOV_AUTO_SEED", "1")
+ monkeypatch.setenv("WOV_SCHEDULER_ENABLED", "0")
+ monkeypatch.setenv("WOV_CLEANUP_ENABLED", "0")
+ monkeypatch.setenv("WOV_BATCH_ENABLED", "0")
+
+ # 测试过程
+ with TestClient(fastapi_app):
+ from wov_app.db import Database as _Db
+
+ ids = {w["id"] for w in _Db(db_path).list_workflows()}
+
+ # 验证结果：内置工作流全部就位。
+ assert {"zh-direct", "ocr-subtitle", "learn-translate"} <= ids
+
+
+def test_lifespan_starts_and_stops_background_services(tmp_path: Path, monkeypatch) -> None:
+ """开启后台服务时启动线程，退出时全部停止（无残留线程）。"""
+ # 数据：全部后台服务开启。
+ monkeypatch.setattr("wov_app.config.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.main.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.config.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setattr("wov_app.main.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setattr("wov_app.batch.BATCH_WORK_ROOT", tmp_path / "storage" / "batch")
+ monkeypatch.setenv("WOV_AUTO_SEED", "0")
+ monkeypatch.setenv("WOV_SCHEDULER_ENABLED", "1")
+ monkeypatch.setenv("WOV_CLEANUP_ENABLED", "1")
+ monkeypatch.setenv("WOV_BATCH_ENABLED", "1")
+
+ # 测试过程
+ with TestClient(fastapi_app) as test_client:
+ scheduler_thread = test_client.app.state.scheduler._thread
+ cleaner_thread = test_client.app.state.cleaner._thread
+ batch_thread = test_client.app.state.batch._thread
+ assert scheduler_thread is not None and scheduler_thread.is_alive()
+ assert cleaner_thread is not None and cleaner_thread.is_alive()
+ assert batch_thread is not None and batch_thread.is_alive()
+
+ # 验证结果：退出后线程引用被清空（stop 已执行）。
+ assert test_client.app.state.scheduler._thread is None
+ assert test_client.app.state.cleaner._thread is None
+ assert test_client.app.state.batch._thread is None
+
+
+# ---------------------------------------------------------------------------
+# 路由与静态前端
+# ---------------------------------------------------------------------------
+
+
+def test_health_endpoint(client: TestClient) -> None:
+ """健康检查返回 ok 与模式标识（部署探针依赖）。"""
+ # 数据：无。
+ # 测试过程
+ response = client.get("/health")
+
+ # 验证结果
+ assert response.status_code == 200
+ body = response.json()
+ assert body["status"] == "ok"
+ assert body["mode"] == "monolith"
+
+
+def test_static_frontend_is_mounted(client: TestClient) -> None:
+ """静态前端挂载在根路径，首页可访问（真实 web/ 目录）。"""
+ # 数据：真实前端文件。
+ # 测试过程
+ response = client.get("/")
+
+ # 验证结果
+ assert response.status_code == 200
+ assert "text/html" in response.headers["content-type"]
+
+
+def test_openapi_lists_routers(client: TestClient) -> None:
+ """OpenAPI 文档包含三组路由（管理端/用户端/批量）。"""
+ # 数据：无。
+ # 测试过程
+ paths = client.get("/openapi.json").json()["paths"]
+
+ # 验证结果：每组至少一个端点。
+ assert any(path.startswith("/api/admin/workflows") for path in paths)
+ assert any(path.startswith("/api/apps") for path in paths)
+ assert any(path.startswith("/api/batch") for path in paths)
+
+
+# ---------------------------------------------------------------------------
+# 请求模型（schemas）
+# ---------------------------------------------------------------------------
+
+
+def test_workflow_create_schema_defaults() -> None:
+ """WorkflowCreate：id/description 可省略，definition 必填。"""
+ # 数据：最小合法载荷。
+ model = WorkflowCreate(name="流程", definition={"nodes": [], "edges": []})
+
+ # 测试过程与验证结果
+ assert model.id is None
+ assert model.description == ""
+ assert model.definition == {"nodes": [], "edges": []}
+
+
+def test_batch_job_create_schema_defaults() -> None:
+ """BatchJobCreate：recursive 默认 True（批量页默认递归扫描）。"""
+ # 数据：最小载荷。
+ model = BatchJobCreate(folder="/videos", workflow_id="wf")
+
+ # 测试过程与验证结果
+ assert model.recursive is True
+ assert model.folder == "/videos"
+
+
+def test_schemas_reject_missing_required_fields() -> None:
+ """缺少必填字段时 Pydantic 校验失败（由 FastAPI 转 422）。"""
+ # 数据：缺少 name / folder。
+ # 测试过程与验证结果
+ with pytest.raises(Exception):
+ WorkflowCreate(definition={})
+ with pytest.raises(Exception):
+ BatchJobCreate(workflow_id="wf")
diff --git a/tests/app/test_maintenance/__init__.py b/tests/app/test_maintenance/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_maintenance/test_cleaner.py b/tests/app/test_maintenance/test_cleaner.py
new file mode 100644
index 0000000..a40ebdc
--- /dev/null
+++ b/tests/app/test_maintenance/test_cleaner.py
@@ -0,0 +1,257 @@
+"""src/wov_app/maintenance.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/maintenance.py`（孤儿数据清理：只删明确死数据），
+可独立调用。用例在临时目录构造真实存储布局与真实 SQLite 记录，验证
+"该删的删、不该删的绝不删"（R01/R03 的安全约定）。
+"""
+
+from __future__ import annotations
+
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+
+from wov_app.db import Database
+from wov_app.maintenance import OrphanCleaner
+
+
+def _now_iso(offset_seconds: int = 0) -> str:
+ """返回当前 UTC 时间字符串，可偏移秒数（构造过期/未过期数据）。"""
+ return (datetime.now(timezone.utc) + timedelta(seconds=offset_seconds)).isoformat()
+
+
+def _db_with_workflow(tmp_path: Path) -> Database:
+ """建好工作流（任务表对 workflow_id 有外键约束）的临时库。"""
+ db = Database(tmp_path / "wov.db")
+ db.upsert_workflow({"id": "wf", "name": "流程", "description": ""})
+ db.create_workflow_version("wf", 1, {"nodes": []})
+ return db
+
+
+def _run(run_id: str, **overrides) -> dict:
+ """构造真实任务记录。"""
+ record = {
+ "id": run_id, "workflow_id": "wf", "workflow_version": 1, "status": "COMPLETED",
+ "current_node_id": None, "progress": 1.0, "error": None, "input_uri": None,
+ "param_overrides": None, "source": "upload",
+ "created_at": _now_iso(-7200), "updated_at": _now_iso(-7200),
+ }
+ record.update(overrides)
+ return record
+
+
+def _cleaner(db: Database, storage: Path, grace_seconds: int = 3600) -> OrphanCleaner:
+ """构造清理器（不启动后台线程，直接调用 clean_once）。"""
+ return OrphanCleaner(db, storage, interval_seconds=999, grace_seconds=grace_seconds)
+
+
+# ---------------------------------------------------------------------------
+# 残留目录清理
+# ---------------------------------------------------------------------------
+
+
+def test_removes_dangling_upload_and_run_dirs(tmp_path: Path) -> None:
+ """无对应任务记录的 uploads/runs 残留目录被删除。"""
+ # 数据：两个残留目录（库中无记录）。
+ storage = tmp_path / "storage"
+ (storage / "uploads" / "ghost-1").mkdir(parents=True)
+ (storage / "runs" / "ghost-2").mkdir(parents=True)
+ (storage / "uploads" / "ghost-1" / "video.mp4").write_bytes(b"data")
+ db = _db_with_workflow(tmp_path)
+
+ # 测试过程
+ removed = _cleaner(db, storage).clean_once()
+
+ # 验证结果：两个目录都被清除。
+ assert removed == 2
+ assert not (storage / "uploads" / "ghost-1").exists()
+ assert not (storage / "runs" / "ghost-2").exists()
+
+
+def test_keeps_dirs_with_task_records(tmp_path: Path) -> None:
+ """有任务记录的目录不删（即使任务已完成）。"""
+ # 数据：一个有效任务及其目录。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ db.create_run(_run("run-1"))
+ (storage / "runs" / "run-1").mkdir(parents=True)
+ (storage / "runs" / "run-1" / "out.srt").write_text("字幕", encoding="utf-8")
+
+ # 测试过程
+ _cleaner(db, storage).clean_once()
+
+ # 验证结果：目录与任务记录都保留。
+ assert (storage / "runs" / "run-1" / "out.srt").is_file()
+ assert db.get_run("run-1") is not None
+
+
+# ---------------------------------------------------------------------------
+# 任务记录清理
+# ---------------------------------------------------------------------------
+
+
+def test_removes_expired_completed_run_without_files(tmp_path: Path) -> None:
+ """COMPLETED、超过宽限期、产物文件全失的任务记录被删除。"""
+ # 数据：过期完成任务，目录为空。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ db.create_run(_run("run-1"))
+ (storage / "runs" / "run-1").mkdir(parents=True)
+
+ # 测试过程
+ removed = _cleaner(db, storage).clean_once()
+
+ # 验证结果
+ assert removed == 1
+ assert db.get_run("run-1") is None
+
+
+def test_keeps_failed_run(tmp_path: Path) -> None:
+ """FAILED 任务绝不自动删除（用户可重试）。"""
+ # 数据：过期失败任务，无产物文件。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ db.create_run(_run("run-failed", status="FAILED", error="boom"))
+
+ # 测试过程
+ removed = _cleaner(db, storage).clean_once()
+
+ # 验证结果
+ assert removed == 0
+ assert db.get_run("run-failed") is not None
+
+
+def test_keeps_running_and_queued_runs(tmp_path: Path) -> None:
+ """QUEUED / RUNNING 任务不删（可能仍在执行或等待执行）。"""
+ # 数据：排队中与运行中的任务。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ db.create_run(_run("run-q", status="QUEUED"))
+ db.create_run(_run("run-r", status="RUNNING"))
+
+ # 测试过程
+ removed = _cleaner(db, storage).clean_once()
+
+ # 验证结果
+ assert removed == 0
+ assert db.get_run("run-q") is not None
+ assert db.get_run("run-r") is not None
+
+
+def test_keeps_completed_run_within_grace_period(tmp_path: Path) -> None:
+ """宽限期内的完成任务不删（下载可能还在进行）。"""
+ # 数据：刚完成、无产物文件的任务。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ db.create_run(_run("run-fresh", updated_at=_now_iso(-10)))
+
+ # 测试过程
+ removed = _cleaner(db, storage, grace_seconds=3600).clean_once()
+
+ # 验证结果
+ assert removed == 0
+ assert db.get_run("run-fresh") is not None
+
+
+def test_keeps_completed_run_with_existing_files(tmp_path: Path) -> None:
+ """仍有产物文件的完成任务不删（下载仍可用）。"""
+ # 数据：过期但产物仍存在的任务。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ db.create_run(_run("run-1"))
+ payload = storage / "runs" / "run-1" / "finals" / "out.srt"
+ payload.parent.mkdir(parents=True)
+ payload.write_text("字幕", encoding="utf-8")
+
+ # 测试过程
+ removed = _cleaner(db, storage).clean_once()
+
+ # 验证结果
+ assert removed == 0
+ assert payload.is_file()
+
+
+def test_skips_batch_source_runs(tmp_path: Path) -> None:
+ """source=batch 的运行跳过清理（工作空间在私有层级，用户媒体目录必须保留）。"""
+ # 数据：过期完成的批量运行，产物不在主 runs 目录下。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ db.create_run(_run("run-batch", source="batch"))
+ # 用户媒体目录（若被误删会造成数据丢失）。
+ media_dir = tmp_path / "user-videos"
+ media_dir.mkdir()
+ (media_dir / "movie.mp4").write_bytes(b"video")
+
+ # 测试过程
+ removed = _cleaner(db, storage).clean_once()
+
+ # 验证结果：批量 run 与用户媒体都保留。
+ assert removed == 0
+ assert db.get_run("run-batch") is not None
+ assert (media_dir / "movie.mp4").is_file()
+
+
+def test_keeps_external_input_directory(tmp_path: Path) -> None:
+ """删除孤儿任务时不动其 input_uri 指向的外部目录（R01：不误删媒体库）。"""
+ # 数据：过期完成、无产物的任务，但 input_uri 指向用户媒体目录。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ media_dir = tmp_path / "media"
+ media_dir.mkdir()
+ video = media_dir / "movie.mp4"
+ video.write_bytes(b"video")
+ db.create_run(_run("run-1", input_uri=str(video)))
+
+ # 测试过程
+ _cleaner(db, storage).clean_once()
+
+ # 验证结果：任务记录被清理，但用户媒体目录完整保留。
+ assert db.get_run("run-1") is None
+ assert video.is_file()
+
+
+def test_invalid_timestamp_is_kept(tmp_path: Path) -> None:
+ """时间戳无法解析时保守保留（不因数据损坏误删）。"""
+ # 数据：updated_at 非法。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ db.create_run(_run("run-1", updated_at="not-a-timestamp"))
+
+ # 测试过程
+ removed = _cleaner(db, storage).clean_once()
+
+ # 验证结果
+ assert removed == 0
+ assert db.get_run("run-1") is not None
+
+
+# ---------------------------------------------------------------------------
+# 线程生命周期
+# ---------------------------------------------------------------------------
+
+
+def test_start_and_stop_are_idempotent(tmp_path: Path) -> None:
+ """start 重复调用不产生多个线程；stop 能正常结束线程。"""
+ # 数据：清理器（间隔很大，循环来不及真正清理）。
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path)
+ cleaner = OrphanCleaner(db, storage, interval_seconds=999, grace_seconds=3600)
+
+ # 测试过程
+ cleaner.start()
+ first_thread = cleaner._thread
+ cleaner.start()
+ second_thread = cleaner._thread
+ cleaner.stop()
+
+ # 验证结果：同一线程对象，停止后引用清空。
+ assert first_thread is second_thread
+ assert cleaner._thread is None
+
+
+def test_stop_without_start_is_safe(tmp_path: Path) -> None:
+ """未启动就 stop 不报错。"""
+ # 数据：未启动的清理器。
+ db = _db_with_workflow(tmp_path)
+
+ # 测试过程与验证结果：不抛异常。
+ OrphanCleaner(db, tmp_path / "storage").stop()
diff --git a/tests/app/test_registry/__init__.py b/tests/app/test_registry/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_registry/test_registry.py b/tests/app/test_registry/test_registry.py
new file mode 100644
index 0000000..c152301
--- /dev/null
+++ b/tests/app/test_registry/test_registry.py
@@ -0,0 +1,192 @@
+"""src/wov_app/registry.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/registry.py`（节点注册表：节点调用的唯一入口），
+可独立调用。注册表是进程内全局状态，用例通过保存/恢复快照隔离，不依赖
+全局 conftest（原 tests/conftest.py 的 autouse 夹具已按规则取消）。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from wov_app import registry
+from wov_sdk.models import InvokeRequest, InvokeResponse, NodeManifest
+
+# 仓库根目录（用于定位真实 manifests/）。
+WORKSPACE = Path(__file__).resolve().parents[3]
+
+
+@pytest.fixture(autouse=True)
+def _restore_registry():
+ """用例前清空注册表、用例后恢复快照：保证用例看到的是干净基线，
+ 不受其他模块（如 main 生命周期 register_all）的注册结果影响。"""
+ snapshot = dict(registry._registry)
+ registry._registry.clear()
+ yield
+ registry._registry.clear()
+ registry._registry.update(snapshot)
+
+
+def _manifest(node_id: str = "demo-node") -> NodeManifest:
+ """构造一个最小合法清单（真实字段结构）。"""
+ return NodeManifest(
+ id=node_id,
+ name="演示节点",
+ version="0.1.0",
+ capability="demo",
+ command=["python", "-m", "demo"],
+ )
+
+
+def _request(tmp_path: Path) -> InvokeRequest:
+ """构造真实调用请求。"""
+ return InvokeRequest(
+ run_id="run-test",
+ node_instance_id="n1",
+ params={},
+ inputs={"text": "hi"},
+ output_dir=str(tmp_path),
+ )
+
+
+# ---------------------------------------------------------------------------
+# 注册与查询
+# ---------------------------------------------------------------------------
+
+
+def test_register_and_get_node() -> None:
+ """注册后可查询到清单，未注册返回 None。"""
+ # 数据：一个清单 + 一个真实处理器。
+ registry.register(_manifest("echo-x"), lambda request: InvokeResponse(status="completed"))
+
+ # 测试过程
+ found = registry.get_node("echo-x")
+ missing = registry.get_node("not-registered")
+
+ # 验证结果
+ assert found is not None and found.id == "echo-x"
+ assert missing is None
+
+
+def test_register_overwrites_same_id() -> None:
+ """同一 ID 重复注册按后者覆盖（启动时 register_all 幂等）。"""
+ # 数据：同一 ID 注册两次，名称不同。
+ first = _manifest("node-x")
+ second = NodeManifest(
+ id="node-x", name="覆盖后", version="0.2.0", capability="demo",
+ command=["python", "-m", "demo"],
+ )
+ registry.register(first, lambda request: InvokeResponse(status="completed"))
+ registry.register(second, lambda request: InvokeResponse(status="completed"))
+
+ # 测试过程
+ found = registry.get_node("node-x")
+
+ # 验证结果
+ assert found.name == "覆盖后"
+ assert found.version == "0.2.0"
+
+
+def test_register_rejects_invalid_manifest() -> None:
+ """非法清单（空 ID）注册时校验失败并抛错。"""
+ # 数据：id 为空的清单。
+ invalid = NodeManifest(id="", name="x", version="1", capability="c", command=["python"])
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError):
+ registry.register(invalid, lambda request: InvokeResponse(status="completed"))
+
+
+def test_register_all_registers_builtin_nodes() -> None:
+ """register_all 从真实 manifests/ 注册全部内置节点（含关键节点）。"""
+ # 数据：真实仓库清单目录。
+ assert (WORKSPACE / "manifests").is_dir()
+
+ # 测试过程
+ registry.register_all()
+ ids = {manifest.id for manifest in registry.list_nodes()}
+
+ # 验证结果：字幕流水线所需的节点全部在册（ID 取自 manifests/*.json）。
+ for expected in (
+ "echo", "ffmpeg-extract", "faster-whisper", "llm-translate",
+ "vlm-ocr", "frame-extract", "subtitle-ocr", "llm-filter",
+ "subtitle-correction", "srt-to-dual-eye-ass",
+ ):
+ assert expected in ids, f"内置节点未注册：{expected}"
+
+
+def test_register_all_is_idempotent() -> None:
+ """重复调用 register_all 不产生重复条目（按 ID 覆盖）。"""
+ # 数据：无。
+ # 测试过程
+ registry.register_all()
+ first = len(registry.list_nodes())
+ registry.register_all()
+ second = len(registry.list_nodes())
+
+ # 验证结果
+ assert first == second
+
+
+# ---------------------------------------------------------------------------
+# invoke：唯一调用入口
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_routes_to_registered_handler(tmp_path: Path) -> None:
+ """invoke 把请求路由到注册的处理器并原样返回其响应。"""
+ # 数据：记录收到的请求的处理器。
+ received: list[InvokeRequest] = []
+
+ def handler(request: InvokeRequest) -> InvokeResponse:
+ received.append(request)
+ return InvokeResponse(status="completed", outputs={"text": "ok"})
+
+ registry.register(_manifest("node-x"), handler)
+
+ # 测试过程
+ response = registry.invoke("node-x", _request(tmp_path))
+
+ # 验证结果：响应来自处理器，且请求原样传递。
+ assert response.status == "completed"
+ assert response.outputs == {"text": "ok"}
+ assert received[0].inputs == {"text": "hi"}
+
+
+def test_invoke_raises_for_unregistered_node(tmp_path: Path) -> None:
+ """未注册节点调用抛 ValueError（不静默返回空结果）。"""
+ # 数据：未注册的 node_id。
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="not registered"):
+ registry.invoke("nope", _request(tmp_path))
+
+
+def test_invoke_returns_failed_response_unchanged(tmp_path: Path) -> None:
+ """处理器返回 failed 时原样透传（注册表不改变节点语义）。"""
+ # 数据：总是失败的处理器。
+ registry.register(
+ _manifest("node-x"),
+ lambda request: InvokeResponse(status="failed", error="boom"),
+ )
+
+ # 测试过程
+ response = registry.invoke("node-x", _request(tmp_path))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert response.error == "boom"
+
+
+def test_list_nodes_returns_sorted_by_id() -> None:
+ """list_nodes 按节点 ID 排序返回（前端展示稳定）。"""
+ # 数据：乱序注册的节点。
+ for node_id in ("z-node", "a-node", "m-node"):
+ registry.register(_manifest(node_id), lambda request: InvokeResponse(status="completed"))
+
+ # 测试过程
+ ids = [m.id for m in registry.list_nodes()]
+
+ # 验证结果
+ assert ids == ["a-node", "m-node", "z-node"]
diff --git a/tests/app/test_routers/__init__.py b/tests/app/test_routers/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_routers/test_apps_api.py b/tests/app/test_routers/test_apps_api.py
new file mode 100644
index 0000000..2a7a58a
--- /dev/null
+++ b/tests/app/test_routers/test_apps_api.py
@@ -0,0 +1,319 @@
+"""src/wov_app/routers/apps.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/routers/apps.py`（用户端 API：应用列表、上传建任务、
+进度查询、产物下载、重试/暂停/继续/删除），可独立调用。用例通过真实
+FastAPI TestClient 走完整 HTTP 链路，数据库为临时 SQLite。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+from fastapi.testclient import TestClient
+
+from wov_app import registry
+from wov_app.db import Database
+from wov_app.main import app as fastapi_app
+
+
+@pytest.fixture(autouse=True)
+def _isolate_registry():
+ """保存/恢复注册表（模块自带隔离）。"""
+ snapshot = dict(registry._registry)
+ yield
+ registry._registry.clear()
+ registry._registry.update(snapshot)
+
+
+@pytest.fixture()
+def client(tmp_path: Path, monkeypatch) -> TestClient:
+ """构造隔离存储与库的真实 TestClient。
+
+ `wov_app.config` 在导入时锁定路径常量，因此这里同时替换 main 与 config
+ 的 STORAGE_DIR（路由在函数内 `from wov_app.config import STORAGE_DIR`），
+ 保证测试不写入真实 data/。
+ """
+ storage = tmp_path / "storage"
+ monkeypatch.setattr("wov_app.config.STORAGE_DIR", storage)
+ monkeypatch.setattr("wov_app.config.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.main.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.main.STORAGE_DIR", storage)
+ monkeypatch.setenv("WOV_AUTO_SEED", "0")
+ monkeypatch.setenv("WOV_SCHEDULER_ENABLED", "0")
+ monkeypatch.setenv("WOV_CLEANUP_ENABLED", "0")
+ monkeypatch.setenv("WOV_BATCH_ENABLED", "0")
+ # 生命周期用 main.DB_PATH 建库；库文件路径与断言用的库保持一致。
+ with TestClient(fastapi_app) as test_client:
+ yield test_client
+
+
+def _publish_echo_app(client: TestClient, app_id: str = "echo-app") -> str:
+ """创建并发布一个单 echo 节点应用（echo 为内置节点）。"""
+ definition = {
+ "name": "echo-flow",
+ "version": 1,
+ "nodes": [{"id": "step", "node_type": "echo", "inputs": {"file_uri": "input.video_uri"}}],
+ "edges": [],
+ "entry_inputs": {"video_uri": "file"},
+ "final_outputs": {"result": "step.file_uri"},
+ }
+ client.post("/api/admin/workflows", json={
+ "id": app_id, "name": "Echo App", "description": "upload a file", "definition": definition,
+ })
+ client.post(f"/api/admin/workflows/{app_id}/publish")
+ return app_id
+
+
+# ---------------------------------------------------------------------------
+# 应用列表与创建任务
+# ---------------------------------------------------------------------------
+
+
+def test_list_apps_returns_only_published(client: TestClient) -> None:
+ """应用列表只返回已发布工作流（用户看不到草稿）。"""
+ # 数据：一个草稿 + 一个已发布。
+ client.post("/api/admin/workflows", json={
+ "id": "draft", "name": "草稿", "description": "",
+ "definition": {"name": "d", "version": 1, "nodes": [], "edges": []},
+ })
+ _publish_echo_app(client)
+
+ # 测试过程
+ response = client.get("/api/apps")
+
+ # 验证结果
+ assert response.status_code == 200
+ ids = {item["id"] for item in response.json()}
+ assert ids == {"echo-app"}
+
+
+def test_create_run_accepts_upload_and_persists_params(client: TestClient) -> None:
+ """上传视频创建任务：返回 run_id，参数覆盖被持久化。"""
+ # 数据：已发布应用 + 真实上传文件 + 裁剪参数覆盖。
+ app_id = _publish_echo_app(client)
+
+ # 测试过程
+ response = client.post(
+ f"/api/apps/{app_id}/runs",
+ files={"file": ("movie.mp4", b"fake video bytes", "video/mp4")},
+ data={"params": '{"step": {"interval_seconds": 3}}'},
+ )
+
+ # 验证结果：任务创建成功且参数被保存。
+ assert response.status_code == 200, response.text
+ run_id = response.json()["id"]
+ stored = client.get(f"/api/runs/{run_id}").json()
+ assert stored["param_overrides"] == {"step": {"interval_seconds": 3}}
+ assert stored["status"] in ("QUEUED", "RUNNING", "COMPLETED")
+
+
+def test_create_run_rejects_unpublished_app(client: TestClient) -> None:
+ """未发布应用不接单（404）。"""
+ # 数据：只创建不发布。
+ client.post("/api/admin/workflows", json={
+ "id": "draft-app", "name": "草稿", "description": "",
+ "definition": {"name": "d", "version": 1, "nodes": [], "edges": []},
+ })
+
+ # 测试过程
+ response = client.post(
+ "/api/apps/draft-app/runs",
+ files={"file": ("a.mp4", b"x", "video/mp4")},
+ )
+
+ # 验证结果
+ assert response.status_code == 404
+
+
+def test_create_run_rejects_unknown_app(client: TestClient) -> None:
+ """不存在的应用返回 404。"""
+ # 数据：未注册的应用 ID。
+ # 测试过程
+ response = client.post(
+ "/api/apps/nope/runs", files={"file": ("a.mp4", b"x", "video/mp4")},
+ )
+
+ # 验证结果
+ assert response.status_code == 404
+
+
+def test_create_run_rejects_invalid_params_json(client: TestClient) -> None:
+ """params 不是合法 JSON 时返回 422（参数错误不产生任务）。"""
+ # 数据：已发布应用 + 非法 params。
+ app_id = _publish_echo_app(client)
+
+ # 测试过程
+ response = client.post(
+ f"/api/apps/{app_id}/runs",
+ files={"file": ("a.mp4", b"x", "video/mp4")},
+ data={"params": "{not json"},
+ )
+
+ # 验证结果
+ assert response.status_code == 422
+
+
+# ---------------------------------------------------------------------------
+# 任务查询、暂停、继续、重试、删除
+# ---------------------------------------------------------------------------
+
+
+def _create_run(client: TestClient) -> str:
+ """创建一条任务并返回 run_id（测试辅助）。"""
+ app_id = _publish_echo_app(client)
+ response = client.post(
+ f"/api/apps/{app_id}/runs", files={"file": ("m.mp4", b"data", "video/mp4")},
+ )
+ assert response.status_code == 200, response.text
+ return response.json()["id"]
+
+
+def test_list_and_get_runs(client: TestClient) -> None:
+ """任务列表与详情可读（详情含状态与进度）。"""
+ # 数据：一条任务。
+ run_id = _create_run(client)
+
+ # 测试过程
+ listed = client.get("/api/runs").json()
+ detail = client.get(f"/api/runs/{run_id}")
+
+ # 验证结果
+ assert any(item["id"] == run_id for item in listed)
+ assert detail.status_code == 200
+ assert {"status", "progress", "id"} <= set(detail.json())
+
+
+def test_get_missing_run_returns_404(client: TestClient) -> None:
+ """不存在的任务返回 404。"""
+ # 数据：未创建的任务 ID。
+ # 测试过程与验证结果
+ assert client.get("/api/runs/nope").status_code == 404
+
+
+def test_pause_and_resume_run(client: TestClient) -> None:
+ """暂停置 PAUSED、继续置 QUEUED，并写入/清除暂停信号文件。"""
+ # 数据：一条任务。
+ run_id = _create_run(client)
+
+ # 测试过程
+ paused = client.post(f"/api/runs/{run_id}/pause")
+ paused_status = client.get(f"/api/runs/{run_id}").json()["status"]
+ resumed = client.post(f"/api/runs/{run_id}/resume")
+ resumed_status = client.get(f"/api/runs/{run_id}").json()["status"]
+
+ # 验证结果
+ assert paused.status_code == 200 and resumed.status_code == 200
+ assert paused_status == "PAUSED"
+ assert resumed_status == "QUEUED"
+
+
+def test_resume_rejects_non_paused_run(client: TestClient) -> None:
+ """非 PAUSED 状态不能继续（409/422 语义，避免误触发执行）。"""
+ # 数据：一条刚创建的任务（QUEUED）。
+ run_id = _create_run(client)
+
+ # 测试过程
+ response = client.post(f"/api/runs/{run_id}/resume")
+
+ # 验证结果：不是 200 成功。
+ assert response.status_code != 200
+
+
+def test_retry_requeues_failed_run(client: TestClient) -> None:
+ """FAILED 任务可重试：状态回到 QUEUED 并清空错误。"""
+ # 数据：手动把任务置为 FAILED。
+ run_id = _create_run(client)
+ db: Database = client.app.state.db
+ db.update_run(run_id, status="FAILED", error="boom", updated_at="2026-09-01T00:00:00+00:00")
+
+ # 测试过程
+ response = client.post(f"/api/runs/{run_id}/retry")
+
+ # 验证结果
+ assert response.status_code == 200
+ stored = client.get(f"/api/runs/{run_id}").json()
+ assert stored["status"] == "QUEUED"
+ assert stored["error"] is None
+
+
+def test_delete_run_removes_record_and_files(client: TestClient) -> None:
+ """删除任务清理记录与私有上传/产物目录（不动外部路径）。"""
+ # 数据：一条任务。
+ run_id = _create_run(client)
+ db: Database = client.app.state.db
+
+ # 测试过程
+ response = client.delete(f"/api/runs/{run_id}")
+
+ # 验证结果：记录消失，再次查询 404。
+ assert response.status_code == 200
+ assert db.get_run(run_id) is None
+ assert client.get(f"/api/runs/{run_id}").status_code == 404
+
+
+def test_delete_rejects_batch_source_run(client: TestClient) -> None:
+ """source=batch 的任务拒绝普通删除（R01：避免误删用户视频目录）。"""
+ # 数据：一条 batch 来源任务（source 不在 update_run 白名单，直连库改）。
+ run_id = _create_run(client)
+ db: Database = client.app.state.db
+ with db._connect() as conn:
+ conn.execute("UPDATE workflow_runs SET source='batch' WHERE id = ?", (run_id,))
+
+ # 测试过程
+ response = client.delete(f"/api/runs/{run_id}")
+
+ # 验证结果：被拒绝（422），记录仍存在。
+ assert response.status_code == 422
+ assert db.get_run(run_id) is not None
+
+
+# ---------------------------------------------------------------------------
+# 产物查询与下载
+# ---------------------------------------------------------------------------
+
+
+def test_list_artifacts_and_download(client: TestClient, tmp_path: Path) -> None:
+ """产物列表可查，产物内容可按名下载。"""
+ # 数据：任务 + 真实产物文件 + 产物记录。
+ run_id = _create_run(client)
+ db: Database = client.app.state.db
+ payload = tmp_path / "out.srt"
+ payload.write_text("1\n00:00:01,000 --> 00:00:02,000\n你好\n", encoding="utf-8")
+ db.create_artifact({
+ "run_id": run_id, "node_id": "step", "name": "result",
+ "uri": str(payload), "mime_type": "application/x-subrip", "size": payload.stat().st_size,
+ })
+
+ # 测试过程
+ listed = client.get(f"/api/runs/{run_id}/artifacts")
+ downloaded = client.get(f"/api/runs/{run_id}/artifacts/result")
+
+ # 验证结果
+ assert listed.status_code == 200
+ assert any(item["name"] == "result" for item in listed.json())
+ assert downloaded.status_code == 200
+ assert "你好" in downloaded.content.decode("utf-8")
+
+
+def test_download_missing_artifact_returns_404(client: TestClient) -> None:
+ """下载不存在的产物返回 404。"""
+ # 数据：一条任务，无该产物。
+ run_id = _create_run(client)
+
+ # 测试过程与验证结果
+ assert client.get(f"/api/runs/{run_id}/artifacts/nope").status_code == 404
+
+
+def test_download_missing_file_returns_404(client: TestClient) -> None:
+ """产物记录存在但文件已被删除时返回 404（不返回残缺内容）。"""
+ # 数据：产物记录指向不存在的文件。
+ run_id = _create_run(client)
+ db: Database = client.app.state.db
+ db.create_artifact({
+ "run_id": run_id, "node_id": "step", "name": "gone",
+ "uri": "/nonexistent/file.srt", "mime_type": "application/x-subrip", "size": 0,
+ })
+
+ # 测试过程与验证结果
+ assert client.get(f"/api/runs/{run_id}/artifacts/gone").status_code == 404
diff --git a/tests/app/test_routers/test_batch_api.py b/tests/app/test_routers/test_batch_api.py
new file mode 100644
index 0000000..d8441a7
--- /dev/null
+++ b/tests/app/test_routers/test_batch_api.py
@@ -0,0 +1,310 @@
+"""src/wov_app/routers/batch.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/routers/batch.py`（批量处理 API：目录浏览、任务创建
+与列表、暂停/继续、删除、产物下载），可独立调用。用例通过真实 TestClient，
+文件夹为临时目录下的真实视频文件。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+from fastapi.testclient import TestClient
+
+from wov_app import registry
+from wov_app.main import app as fastapi_app
+from wov_sdk.models import WorkflowDefinition
+
+
+@pytest.fixture(autouse=True)
+def _isolate_registry():
+ """保存/恢复注册表（模块自带隔离）。"""
+ snapshot = dict(registry._registry)
+ yield
+ registry._registry.clear()
+ registry._registry.update(snapshot)
+
+
+@pytest.fixture()
+def client(tmp_path: Path, monkeypatch) -> TestClient:
+ """构造隔离数据库与存储的真实 TestClient。"""
+ monkeypatch.setattr("wov_app.config.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.config.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setattr("wov_app.main.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.main.STORAGE_DIR", tmp_path / "storage")
+ # 批量工作空间也指向临时目录（模块常量在导入时绑定）。
+ monkeypatch.setattr("wov_app.batch.BATCH_WORK_ROOT", tmp_path / "storage" / "batch")
+ monkeypatch.setenv("WOV_AUTO_SEED", "0")
+ monkeypatch.setenv("WOV_SCHEDULER_ENABLED", "0")
+ monkeypatch.setenv("WOV_CLEANUP_ENABLED", "0")
+ monkeypatch.setenv("WOV_BATCH_ENABLED", "0")
+ with TestClient(fastapi_app) as test_client:
+ yield test_client
+
+
+def _make_video(path: Path) -> Path:
+ """创建真实可读的视频文件。"""
+ path.parent.mkdir(parents=True, exist_ok=True)
+ path.write_bytes(b"\x00\x00\x00\x18ftypmp42" + b"\x00" * 32)
+ return path
+
+
+def _publish_workflow(client: TestClient, workflow_id: str = "wf") -> None:
+ """创建并发布单 echo 节点工作流。"""
+ definition = WorkflowDefinition.from_dict({
+ "name": "批量流程", "version": 1,
+ "nodes": [{"id": "step", "node_type": "echo", "inputs": {"file_uri": "input.video_uri"}}],
+ "edges": [], "entry_inputs": {"video_uri": "file"},
+ "final_outputs": {"result": "step.file_uri"},
+ }).to_dict()
+ client.post("/api/admin/workflows", json={
+ "id": workflow_id, "name": "批量流程", "description": "", "definition": definition,
+ })
+ client.post(f"/api/admin/workflows/{workflow_id}/publish")
+
+
+# ---------------------------------------------------------------------------
+# 目录浏览（本地后端提供，浏览器拿不到绝对路径）
+# ---------------------------------------------------------------------------
+
+
+def test_list_roots_returns_browsable_roots(client: TestClient) -> None:
+ """根目录列表返回可浏览位置（POSIX 返回 / 与家目录）。"""
+ # 数据：无（真实文件系统）。
+ # 测试过程
+ response = client.get("/api/batch/roots")
+
+ # 验证结果：非空且每项含 path/name。
+ assert response.status_code == 200
+ roots = response.json()
+ assert roots, "至少应返回一个可浏览根目录"
+ assert all({"path", "name"} <= set(item) for item in roots)
+
+
+def test_list_dirs_returns_only_directories(client: TestClient, tmp_path: Path) -> None:
+ """列目录只返回直接子目录，且过滤隐藏目录。"""
+ # 数据：两个子目录 + 一个隐藏目录 + 一个文件。
+ folder = tmp_path / "root"
+ (folder / "sub1").mkdir(parents=True)
+ (folder / "sub2").mkdir()
+ (folder / ".hidden").mkdir()
+ (folder / "file.txt").write_text("x", encoding="utf-8")
+
+ # 测试过程
+ body = client.get("/api/batch/dirs", params={"path": str(folder)}).json()
+
+ # 验证结果
+ names = {item["name"] for item in body["dirs"]}
+ assert names == {"sub1", "sub2"}
+
+
+def test_list_dirs_returns_empty_for_missing_path(client: TestClient, tmp_path: Path) -> None:
+ """目录不存在时返回空列表而非 500（前端树保持可用）。"""
+ # 数据：不存在的路径。
+ # 测试过程
+ response = client.get("/api/batch/dirs", params={"path": str(tmp_path / "nope")})
+
+ # 验证结果
+ assert response.status_code == 200
+ assert response.json()["dirs"] == []
+
+
+# ---------------------------------------------------------------------------
+# 创建与查询批量任务
+# ---------------------------------------------------------------------------
+
+
+def test_create_job_returns_job_with_videos(client: TestClient, tmp_path: Path) -> None:
+ """创建批量任务：返回任务 ID、总数与明细列表（含跳过项）。"""
+ # 数据：两个视频，其中一个已有旁挂字幕。
+ folder = tmp_path / "videos"
+ _make_video(folder / "a.mp4")
+ _make_video(folder / "b.mp4")
+ (folder / "b.CN.srt").write_text("1\n", encoding="utf-8")
+ _publish_workflow(client)
+
+ # 测试过程
+ response = client.post("/api/batch/jobs", json={
+ "folder": str(folder), "workflow_id": "wf", "recursive": False,
+ })
+
+ # 验证结果
+ assert response.status_code == 200, response.text
+ body = response.json()
+ assert body["total"] == 1
+ assert len(body["videos"]) == 2
+
+
+def test_create_job_rejects_missing_folder(client: TestClient, tmp_path: Path) -> None:
+ """文件夹不存在返回 422。"""
+ # 数据：未发布的目录路径。
+ _publish_workflow(client)
+
+ # 测试过程
+ response = client.post("/api/batch/jobs", json={
+ "folder": str(tmp_path / "nope"), "workflow_id": "wf", "recursive": False,
+ })
+
+ # 验证结果
+ assert response.status_code == 422
+
+
+def test_create_job_rejects_unpublished_workflow(client: TestClient, tmp_path: Path) -> None:
+ """工作流未发布返回 422。"""
+ # 数据：有视频但工作流未发布。
+ folder = tmp_path / "videos"
+ _make_video(folder / "a.mp4")
+
+ # 测试过程
+ response = client.post("/api/batch/jobs", json={
+ "folder": str(folder), "workflow_id": "wf", "recursive": False,
+ })
+
+ # 验证结果
+ assert response.status_code == 422
+
+
+def test_create_job_rejects_folder_without_videos(client: TestClient, tmp_path: Path) -> None:
+ """文件夹内无视频返回 422。"""
+ # 数据：空文件夹 + 已发布工作流。
+ folder = tmp_path / "videos"
+ folder.mkdir()
+ _publish_workflow(client)
+
+ # 测试过程
+ response = client.post("/api/batch/jobs", json={
+ "folder": str(folder), "workflow_id": "wf", "recursive": False,
+ })
+
+ # 验证结果
+ assert response.status_code == 422
+
+
+def test_list_and_get_job(client: TestClient, tmp_path: Path) -> None:
+ """任务列表与详情可读，详情含视频明细。"""
+ # 数据：一条批量任务。
+ folder = tmp_path / "videos"
+ _make_video(folder / "a.mp4")
+ _publish_workflow(client)
+ job_id = client.post("/api/batch/jobs", json={
+ "folder": str(folder), "workflow_id": "wf", "recursive": False,
+ }).json()["id"]
+
+ # 测试过程
+ listed = client.get("/api/batch/jobs").json()
+ detail = client.get(f"/api/batch/jobs/{job_id}")
+
+ # 验证结果
+ assert any(item["id"] == job_id for item in listed)
+ assert detail.status_code == 200
+ assert detail.json()["videos"][0]["video_path"].endswith("a.mp4")
+
+
+def test_get_missing_job_returns_404(client: TestClient) -> None:
+ """不存在的批量任务返回 404。"""
+ # 数据：未创建。
+ # 测试过程与验证结果
+ assert client.get("/api/batch/jobs/nope").status_code == 404
+
+
+# ---------------------------------------------------------------------------
+# 暂停 / 继续 / 删除
+# ---------------------------------------------------------------------------
+
+
+def test_pause_and_resume_job(client: TestClient, tmp_path: Path) -> None:
+ """暂停置 PAUSED、继续置 QUEUED。"""
+ # 数据：一条待处理批量任务。
+ folder = tmp_path / "videos"
+ _make_video(folder / "a.mp4")
+ _publish_workflow(client)
+ job_id = client.post("/api/batch/jobs", json={
+ "folder": str(folder), "workflow_id": "wf", "recursive": False,
+ }).json()["id"]
+
+ # 测试过程
+ paused = client.post(f"/api/batch/jobs/{job_id}/pause")
+ after_pause = client.get(f"/api/batch/jobs/{job_id}").json()["status"]
+ resumed = client.post(f"/api/batch/jobs/{job_id}/resume")
+ after_resume = client.get(f"/api/batch/jobs/{job_id}").json()["status"]
+
+ # 验证结果
+ assert paused.status_code == 200 and resumed.status_code == 200
+ assert after_pause == "PAUSED"
+ assert after_resume == "QUEUED"
+
+
+def test_delete_job_removes_records_and_keeps_media(client: TestClient, tmp_path: Path) -> None:
+ """删除任务清理记录与私有工作空间，保留用户视频。"""
+ # 数据：一条批量任务。
+ folder = tmp_path / "videos"
+ video = _make_video(folder / "a.mp4")
+ _publish_workflow(client)
+ job_id = client.post("/api/batch/jobs", json={
+ "folder": str(folder), "workflow_id": "wf", "recursive": False,
+ }).json()["id"]
+
+ # 测试过程
+ response = client.delete(f"/api/batch/jobs/{job_id}")
+
+ # 验证结果：任务消失但视频保留。
+ assert response.status_code == 200
+ assert client.get(f"/api/batch/jobs/{job_id}").status_code == 404
+ assert video.is_file()
+
+
+def test_delete_missing_job_returns_404(client: TestClient) -> None:
+ """删除不存在的任务返回 404。"""
+ # 数据：未创建。
+ # 测试过程与验证结果
+ assert client.delete("/api/batch/jobs/nope").status_code == 404
+
+
+# ---------------------------------------------------------------------------
+# 产物下载
+# ---------------------------------------------------------------------------
+
+
+def test_download_sidecar_product(client: TestClient, tmp_path: Path) -> None:
+ """下载接口返回视频旁的产物文件内容。"""
+ # 数据：一条批量任务 + 视频旁的成品字幕。
+ folder = tmp_path / "videos"
+ _make_video(folder / "movie.mp4")
+ _publish_workflow(client)
+ body = client.post("/api/batch/jobs", json={
+ "folder": str(folder), "workflow_id": "wf", "recursive": False,
+ }).json()
+ job_id = body["id"]
+ video_id = body["videos"][0]["id"]
+ (folder / "movie.CN.srt").write_text("1\n00:00:01,000 --> 00:00:02,000\n你好\n", encoding="utf-8")
+
+ # 测试过程
+ response = client.get(
+ f"/api/batch/jobs/{job_id}/videos/{video_id}/download",
+ params={"alias": "movie.CN.srt"},
+ )
+
+ # 验证结果
+ assert response.status_code == 200
+ assert "你好" in response.content.decode("utf-8")
+
+
+def test_download_missing_product_returns_404(client: TestClient, tmp_path: Path) -> None:
+ """产物不存在时返回 404。"""
+ # 数据：一条批量任务（无产物）。
+ folder = tmp_path / "videos"
+ _make_video(folder / "movie.mp4")
+ _publish_workflow(client)
+ body = client.post("/api/batch/jobs", json={
+ "folder": str(folder), "workflow_id": "wf", "recursive": False,
+ }).json()
+
+ # 测试过程
+ response = client.get(
+ f"/api/batch/jobs/{body['id']}/videos/{body['videos'][0]['id']}/download",
+ params={"alias": "movie.CN.srt"},
+ )
+
+ # 验证结果
+ assert response.status_code == 404
diff --git a/tests/app/test_routers/test_workflows_api.py b/tests/app/test_routers/test_workflows_api.py
new file mode 100644
index 0000000..12c29e0
--- /dev/null
+++ b/tests/app/test_routers/test_workflows_api.py
@@ -0,0 +1,311 @@
+"""src/wov_app/routers/workflows.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/routers/workflows.py`（管理端 API：工作流 CRUD、
+校验、发布、版本历史），可独立调用。用例通过真实 TestClient 走 HTTP 链路，
+数据库为临时 SQLite。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+from fastapi.testclient import TestClient
+
+from wov_app.main import app as fastapi_app
+
+
+@pytest.fixture()
+def client(tmp_path: Path, monkeypatch) -> TestClient:
+ """构造隔离数据库与存储的真实 TestClient。"""
+ monkeypatch.setattr("wov_app.config.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.config.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setattr("wov_app.main.DB_PATH", tmp_path / "wov.db")
+ monkeypatch.setattr("wov_app.main.STORAGE_DIR", tmp_path / "storage")
+ monkeypatch.setenv("WOV_AUTO_SEED", "0")
+ monkeypatch.setenv("WOV_SCHEDULER_ENABLED", "0")
+ monkeypatch.setenv("WOV_CLEANUP_ENABLED", "0")
+ monkeypatch.setenv("WOV_BATCH_ENABLED", "0")
+ with TestClient(fastapi_app) as test_client:
+ yield test_client
+
+
+def _definition(name: str = "echo-flow", nodes: list[dict] | None = None, edges: list[dict] | None = None) -> dict:
+ """构造合法 DAG 定义（默认单 echo 节点）。"""
+ return {
+ "name": name,
+ "version": 1,
+ "nodes": nodes or [
+ {"id": "step", "node_type": "echo", "inputs": {"file_uri": "input.video_uri"}},
+ ],
+ "edges": edges or [],
+ "entry_inputs": {"video_uri": "file"},
+ "final_outputs": {"result": "step.file_uri"},
+ }
+
+
+def _create(client: TestClient, workflow_id: str = "wf", definition: dict | None = None) -> dict:
+ """创建一个工作流并返回响应体。"""
+ response = client.post("/api/admin/workflows", json={
+ "id": workflow_id, "name": "测试流程", "description": "说明",
+ "definition": definition or _definition(),
+ })
+ assert response.status_code == 200, response.text
+ return response.json()
+
+
+# ---------------------------------------------------------------------------
+# 创建与读取
+# ---------------------------------------------------------------------------
+
+
+def test_create_workflow_saves_first_version(client: TestClient) -> None:
+ """创建工作流保存为 v1，初始未发布。"""
+ # 数据：合法定义。
+ # 测试过程
+ created = _create(client, "wf-1")
+
+ # 验证结果
+ assert created["id"] == "wf-1"
+ assert created["latest_version"] == 1
+ assert created["published"] is False
+
+
+def test_create_workflow_appends_new_version(client: TestClient) -> None:
+ """对已存在工作流再次创建 → 追加新版本（保存即新版本）。"""
+ # 数据：同一 ID 两次创建。
+ _create(client, "wf-1")
+
+ # 测试过程
+ second = _create(client, "wf-1")
+
+ # 验证结果：版本递增。
+ assert second["latest_version"] == 2
+
+
+def test_get_workflow_returns_latest_definition(client: TestClient) -> None:
+ """详情返回最新版本定义（供编排页加载编辑）。"""
+ # 数据：已创建工作流。
+ _create(client, "wf-1")
+
+ # 测试过程
+ detail = client.get("/api/admin/workflows/wf-1")
+
+ # 验证结果
+ assert detail.status_code == 200
+ body = detail.json()
+ assert body["latest_version_data"]["version"] == 1
+ assert body["latest_version_data"]["definition"]["nodes"][0]["id"] == "step"
+
+
+def test_get_missing_workflow_returns_404(client: TestClient) -> None:
+ """不存在的工作流返回 404。"""
+ # 数据：未创建。
+ # 测试过程与验证结果
+ assert client.get("/api/admin/workflows/nope").status_code == 404
+
+
+def test_list_workflows(client: TestClient) -> None:
+ """列表返回全部工作流概要。"""
+ # 数据：两个工作流。
+ _create(client, "wf-1")
+ _create(client, "wf-2")
+
+ # 测试过程
+ listed = client.get("/api/admin/workflows").json()
+
+ # 验证结果
+ assert {item["id"] for item in listed} == {"wf-1", "wf-2"}
+
+
+# ---------------------------------------------------------------------------
+# 校验：拒绝非法 DAG
+# ---------------------------------------------------------------------------
+
+
+def test_create_rejects_cycle(client: TestClient) -> None:
+ """环形 DAG 保存被拒（422），不产生工作流记录（R04）。"""
+ # 数据：A→B→A 的环形定义。
+ cyclic = _definition(nodes=[
+ {"id": "a", "node_type": "echo", "inputs": {"file_uri": "b.file_uri"}},
+ {"id": "b", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
+ ], edges=[{"from": "a", "to": "b"}, {"from": "b", "to": "a"}])
+
+ # 测试过程
+ response = client.post("/api/admin/workflows", json={
+ "id": "wf-cycle", "name": "环形", "description": "", "definition": cyclic,
+ })
+
+ # 验证结果：422，且未写库。
+ assert response.status_code == 422
+ assert client.get("/api/admin/workflows/wf-cycle").status_code == 404
+
+
+def test_create_rejects_self_loop(client: TestClient) -> None:
+ """自环（节点指向自己）同样被拒绝。"""
+ # 数据：单节点自环。
+ loop = _definition(
+ nodes=[{"id": "a", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}}],
+ edges=[{"from": "a", "to": "a"}],
+ )
+
+ # 测试过程
+ response = client.post("/api/admin/workflows", json={
+ "id": "wf-loop", "name": "自环", "description": "", "definition": loop,
+ })
+
+ # 验证结果
+ assert response.status_code == 422
+
+
+def test_create_rejects_edge_to_unknown_node(client: TestClient) -> None:
+ """边引用不存在的节点被拒绝。"""
+ # 数据：边指向 ghost 节点。
+ bad = _definition(edges=[{"from": "step", "to": "ghost"}])
+
+ # 测试过程
+ response = client.post("/api/admin/workflows", json={
+ "id": "wf-bad", "name": "坏边", "description": "", "definition": bad,
+ })
+
+ # 验证结果
+ assert response.status_code == 422
+
+
+def test_create_rejects_duplicate_node_ids(client: TestClient) -> None:
+ """节点 ID 重复被拒绝。"""
+ # 数据：两个同 ID 节点。
+ dup = _definition(nodes=[
+ {"id": "step", "node_type": "echo", "inputs": {}},
+ {"id": "step", "node_type": "echo", "inputs": {}},
+ ])
+
+ # 测试过程
+ response = client.post("/api/admin/workflows", json={
+ "id": "wf-dup", "name": "重复", "description": "", "definition": dup,
+ })
+
+ # 验证结果
+ assert response.status_code == 422
+
+
+def test_validate_endpoint_returns_node_ids(client: TestClient) -> None:
+ """校验接口对合法定义返回 valid 与节点 ID 列表（不保存）。"""
+ # 数据：已创建工作流 + 待校验定义。
+ _create(client, "wf-1")
+
+ # 测试过程
+ response = client.post("/api/admin/workflows/wf-1/validate", json=_definition())
+
+ # 验证结果
+ assert response.status_code == 200
+ assert response.json() == {"valid": True, "node_ids": ["step"]}
+
+
+def test_validate_endpoint_rejects_cycle(client: TestClient) -> None:
+ """校验接口对环形定义返回 422。"""
+ # 数据：环形定义。
+ _create(client, "wf-1")
+ cyclic = _definition(nodes=[
+ {"id": "a", "node_type": "echo", "inputs": {"file_uri": "b.file_uri"}},
+ {"id": "b", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
+ ], edges=[{"from": "a", "to": "b"}, {"from": "b", "to": "a"}])
+
+ # 测试过程与验证结果
+ assert client.post("/api/admin/workflows/wf-1/validate", json=cyclic).status_code == 422
+
+
+# ---------------------------------------------------------------------------
+# 发布与版本
+# ---------------------------------------------------------------------------
+
+
+def test_publish_marks_workflow_published(client: TestClient) -> None:
+ """发布后工作流标记为已发布（出现在用户应用中心）。"""
+ # 数据：已创建工作流。
+ _create(client, "wf-1")
+
+ # 测试过程
+ response = client.post("/api/admin/workflows/wf-1/publish")
+ detail = client.get("/api/admin/workflows/wf-1").json()
+
+ # 验证结果
+ assert response.status_code == 200
+ assert detail["published"] == 1
+
+
+def test_publish_rejects_legacy_cycle_version(client: TestClient) -> None:
+ """历史遗留的环形版本无法发布（发布前重新校验，R04）。"""
+ # 数据：绕过创建校验，直接写入环形版本（模拟历史数据）。
+ _create(client, "wf-1")
+ db = client.app.state.db
+ cyclic = _definition(nodes=[
+ {"id": "a", "node_type": "echo", "inputs": {"file_uri": "b.file_uri"}},
+ {"id": "b", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
+ ], edges=[{"from": "a", "to": "b"}, {"from": "b", "to": "a"}])
+ db.create_workflow_version("wf-1", 9, cyclic)
+
+ # 测试过程
+ response = client.post("/api/admin/workflows/wf-1/publish")
+
+ # 验证结果：被拒绝。
+ assert response.status_code == 422
+
+
+def test_publish_rejects_workflow_without_version(client: TestClient) -> None:
+ """无版本的工作流不能发布。"""
+ # 数据：只有工作流记录，无版本（绕过创建接口）。
+ db = client.app.state.db
+ db.upsert_workflow({"id": "empty", "name": "空", "description": "", "latest_version": 0})
+
+ # 测试过程
+ response = client.post("/api/admin/workflows/empty/publish")
+
+ # 验证结果
+ assert response.status_code == 422
+
+
+def test_list_versions_returns_history_desc(client: TestClient) -> None:
+ """版本历史按版本号倒序返回，供对比与回滚。"""
+ # 数据：两个版本。
+ _create(client, "wf-1")
+ _create(client, "wf-1")
+
+ # 测试过程
+ versions = client.get("/api/admin/workflows/wf-1/versions").json()
+
+ # 验证结果
+ assert [item["version"] for item in versions] == [2, 1]
+
+
+def test_delete_workflow_removes_it(client: TestClient) -> None:
+ """删除工作流后查询 404。"""
+ # 数据：已创建工作流。
+ _create(client, "wf-1")
+
+ # 测试过程
+ response = client.delete("/api/admin/workflows/wf-1")
+
+ # 验证结果
+ assert response.status_code == 200
+ assert client.get("/api/admin/workflows/wf-1").status_code == 404
+
+
+def test_delete_missing_workflow_returns_404(client: TestClient) -> None:
+ """删除不存在的工作流返回 404。"""
+ # 数据：未创建。
+ # 测试过程与验证结果
+ assert client.delete("/api/admin/workflows/nope").status_code == 404
+
+
+def test_created_workflow_id_slugified_from_name_when_absent(client: TestClient) -> None:
+ """未给 ID 时由名称生成 slug 形式 ID（管理端便利行为）。"""
+ # 数据：只给名称。
+ # 测试过程
+ response = client.post("/api/admin/workflows", json={
+ "name": "My Cool Flow", "description": "", "definition": _definition(),
+ })
+
+ # 验证结果
+ assert response.status_code == 200
+ assert response.json()["id"] == "my-cool-flow"
diff --git a/tests/app/test_scheduler/__init__.py b/tests/app/test_scheduler/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_scheduler/test_scheduler.py b/tests/app/test_scheduler/test_scheduler.py
new file mode 100644
index 0000000..6848ead
--- /dev/null
+++ b/tests/app/test_scheduler/test_scheduler.py
@@ -0,0 +1,494 @@
+"""src/wov_app/scheduler.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/scheduler.py`（DAG 拓扑调度、断点续跑、暂停语义），
+可独立调用。用例使用真实 SQLite、真实存储目录与真实节点（echo/echo 派生），
+仅对需要外部服务的节点不做测试。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from wov_app import registry
+from wov_app.db import Database
+from wov_app.scheduler import WorkflowScheduler, topological_sort
+from wov_sdk.models import WorkflowDefinition
+
+
+@pytest.fixture(autouse=True)
+def _isolate_registry():
+ """用例前清空注册表、用例后恢复快照：保证用例看到的是干净基线，
+ 不受其他模块（如 main 生命周期 register_all）的注册结果影响。"""
+ snapshot = dict(registry._registry)
+ registry._registry.clear()
+ yield
+ registry._registry.clear()
+ registry._registry.update(snapshot)
+
+
+def _definition(nodes: list[dict], edges: list[dict], **extra) -> WorkflowDefinition:
+ """构造真实 WorkflowDefinition（节点 ID/类型/输入与边）。"""
+ payload = {
+ "name": "测试流程",
+ "version": 1,
+ "nodes": nodes,
+ "edges": edges,
+ "entry_inputs": {"video_uri": "file"},
+ "final_outputs": extra.pop("final_outputs", {}),
+ **extra,
+ }
+ return WorkflowDefinition.from_dict(payload)
+
+
+def _db_with_workflow(tmp_path: Path, definition: WorkflowDefinition, workflow_id: str = "wf") -> Database:
+ """建好工作流 + 版本记录的临时库（任务表有外键约束）。"""
+ db = Database(tmp_path / "wov.db")
+ db.upsert_workflow({"id": workflow_id, "name": "流程", "description": ""})
+ db.create_workflow_version(workflow_id, 1, definition.to_dict())
+ return db
+
+
+def _run(run_id: str, input_uri: str, **overrides) -> dict:
+ """构造真实任务记录。"""
+ record = {
+ "id": run_id, "workflow_id": "wf", "workflow_version": 1, "status": "QUEUED",
+ "current_node_id": None, "progress": 0.0, "error": None, "input_uri": input_uri,
+ "param_overrides": None, "source": "upload",
+ "created_at": "2026-09-01T00:00:00+00:00", "updated_at": "2026-09-01T00:00:00+00:00",
+ }
+ record.update(overrides)
+ return record
+
+
+def _scheduler(db: Database, storage: Path) -> WorkflowScheduler:
+ """构造调度器（不启动后台线程，直接调用 execute_run）。"""
+ return WorkflowScheduler(db, storage, interval_seconds=999)
+
+
+# ---------------------------------------------------------------------------
+# 拓扑排序
+# ---------------------------------------------------------------------------
+
+
+def test_topological_sort_linear_chain() -> None:
+ """线性链按依赖顺序返回。"""
+ # 数据：a → b → c。
+ definition = _definition(
+ nodes=[
+ {"id": "a", "node_type": "echo", "inputs": {}},
+ {"id": "b", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
+ {"id": "c", "node_type": "echo", "inputs": {"file_uri": "b.file_uri"}},
+ ],
+ edges=[{"from": "a", "to": "b"}, {"from": "b", "to": "c"}],
+ )
+
+ # 测试过程
+ order = topological_sort(definition)
+
+ # 验证结果
+ assert order == ["a", "b", "c"]
+
+
+def test_topological_sort_diamond() -> None:
+ """菱形依赖中，汇合节点排在其全部前驱之后。"""
+ # 数据：a → (b, c) → d。
+ definition = _definition(
+ nodes=[
+ {"id": "a", "node_type": "echo", "inputs": {}},
+ {"id": "b", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
+ {"id": "c", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
+ {"id": "d", "node_type": "echo", "inputs": {"file_uri": "b.file_uri"}},
+ ],
+ edges=[
+ {"from": "a", "to": "b"}, {"from": "a", "to": "c"},
+ {"from": "b", "to": "d"}, {"from": "c", "to": "d"},
+ ],
+ )
+
+ # 测试过程
+ order = topological_sort(definition)
+
+ # 验证结果：a 最先、d 最后，b/c 在中间。
+ assert order[0] == "a"
+ assert order[-1] == "d"
+ assert set(order[1:3]) == {"b", "c"}
+
+
+# ---------------------------------------------------------------------------
+# 执行：成功路径
+# ---------------------------------------------------------------------------
+
+
+def test_execute_run_completes_and_records_artifacts(tmp_path: Path) -> None:
+ """单节点任务执行成功：状态 COMPLETED、产物登记、进度到位。"""
+ # 数据：echo 单节点工作流 + 真实输入文件。
+ definition = _definition(
+ nodes=[{"id": "step", "node_type": "echo", "inputs": {"file_uri": "input.video_uri"}}],
+ edges=[],
+ final_outputs={"result": "step.file_uri"},
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ source = tmp_path / "input.txt"
+ source.write_text("输入内容", encoding="utf-8")
+ db.create_run(_run("run-1", str(source)))
+ registry.register_all()
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-1")
+
+ # 验证结果：任务完成、进度 1.0、节点产物与最终别名都已登记。
+ stored = db.get_run("run-1")
+ assert stored["status"] == "COMPLETED"
+ assert stored["progress"] == 1.0
+ names = {a["name"] for a in db.list_artifacts("run-1")}
+ assert "step.file_uri" in names
+ assert "result" in names
+
+
+def test_execute_run_multi_node_chain_passes_artifacts(tmp_path: Path) -> None:
+ """多节点链：后序节点通过 URI 拿到前序产物（节点间只经产物交换数据）。"""
+ # 数据：step1 → step2 两节点链。
+ definition = _definition(
+ nodes=[
+ {"id": "step1", "node_type": "echo", "inputs": {"file_uri": "input.video_uri"}},
+ {"id": "step2", "node_type": "echo", "inputs": {"file_uri": "step1.file_uri"}},
+ ],
+ edges=[{"from": "step1", "to": "step2"}],
+ final_outputs={"out": "step2.file_uri"},
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ source = tmp_path / "input.txt"
+ source.write_text("链式内容", encoding="utf-8")
+ db.create_run(_run("run-2", str(source)))
+ registry.register_all()
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-2")
+
+ # 验证结果：两节点产物都存在，且 step2 的产物内容来自 step1（传递一致）。
+ assert db.get_run("run-2")["status"] == "COMPLETED"
+ artifacts = {a["name"]: a["uri"] for a in db.list_artifacts("run-2")}
+ assert "step1.file_uri" in artifacts and "step2.file_uri" in artifacts
+ assert Path(artifacts["step2.file_uri"]).read_text(encoding="utf-8") == "链式内容"
+ assert Path(artifacts["step2.file_uri"]).parent != Path(artifacts["step1.file_uri"]).parent
+
+
+def test_execute_run_creates_final_alias_with_stable_name(tmp_path: Path) -> None:
+ """最终产物按 上传文件名.标识.时间戳 生成别名，并保留节点原始文件。"""
+ # 数据：单节点 + target_language 参数（决定别名标识）。
+ definition = _definition(
+ nodes=[{
+ "id": "step", "node_type": "echo",
+ "inputs": {"file_uri": "input.video_uri"},
+ "params": {"target_language": "zh-CN"},
+ }],
+ edges=[],
+ final_outputs={"cn_srt_uri": "step.file_uri"},
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ source = tmp_path / "test01.mp4"
+ source.write_text("数据", encoding="utf-8")
+ db.create_run(_run("run-3", str(source)))
+ registry.register_all()
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-3")
+
+ # 验证结果：别名指向 finals 下的稳定路径，含 zh-CN 标识；节点原文件仍在。
+ artifacts = {a["name"]: a["uri"] for a in db.list_artifacts("run-3")}
+ final = Path(artifacts["cn_srt_uri"])
+ assert final.is_file()
+ assert "zh-CN" in final.name
+ assert "finals" in final.parts
+ assert Path(artifacts["step.file_uri"]).is_file()
+
+
+# ---------------------------------------------------------------------------
+# 失败与无效 DAG
+# ---------------------------------------------------------------------------
+
+
+def test_execute_run_fails_when_workflow_version_missing(tmp_path: Path) -> None:
+ """工作流版本记录丢失时任务失败（不留 QUEUED 堵塞队列）。"""
+ # 数据：工作流存在但没有 v1 版本记录（外键仍满足）。
+ db = Database(tmp_path / "wov.db")
+ storage = tmp_path / "storage"
+ db.upsert_workflow({"id": "wf-no-version", "name": "流程", "description": ""})
+ db.create_run(_run("run-x", "input", workflow_id="wf-no-version"))
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-x")
+
+ # 验证结果
+ stored = db.get_run("run-x")
+ assert stored["status"] == "FAILED"
+ assert "workflow version not found" in stored["error"]
+
+
+def test_execute_run_marks_failed_on_cycle_and_does_not_block_queue(tmp_path: Path) -> None:
+ """环形 DAG（历史无效版本）立即失败且不堵塞后续任务（R04 回归）。"""
+ # 数据：A→B→A 的环形定义。
+ definition = _definition(
+ nodes=[
+ {"id": "a", "node_type": "echo", "inputs": {"file_uri": "b.file_uri"}},
+ {"id": "b", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
+ ],
+ edges=[{"from": "a", "to": "b"}, {"from": "b", "to": "a"}],
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ db.create_run(_run("run-cycle", "input"))
+ registry.register_all()
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-cycle")
+
+ # 验证结果：任务 FAILED，且队首前移（不再返回该任务）。
+ assert db.get_run("run-cycle")["status"] == "FAILED"
+ assert db.next_queued_run() is None
+
+
+def test_execute_run_fails_when_input_reference_missing(tmp_path: Path) -> None:
+ """输入引用无法解析（前序产物缺失）时任务失败并记录原因。"""
+ # 数据：节点引用不存在的产物。
+ definition = _definition(
+ nodes=[{"id": "step", "node_type": "echo", "inputs": {"file_uri": "ghost.file_uri"}}],
+ edges=[],
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ db.create_run(_run("run-4", "input"))
+ registry.register_all()
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-4")
+
+ # 验证结果
+ stored = db.get_run("run-4")
+ assert stored["status"] == "FAILED"
+ assert "missing input" in stored["error"]
+
+
+def test_execute_run_fails_when_node_returns_failed(tmp_path: Path) -> None:
+ """节点返回 failed 时任务失败并保留错误信息。"""
+ # 数据：注册一个总是失败的节点。
+ from wov_sdk.models import InvokeResponse, NodeManifest
+
+ definition = _definition(
+ nodes=[{"id": "step", "node_type": "boom", "inputs": {}}],
+ edges=[],
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ db.create_run(_run("run-5", "input"))
+ registry.register(
+ NodeManifest(id="boom", name="失败节点", version="1", capability="c", command=["python"]),
+ lambda request: InvokeResponse(status="failed", error="节点内部错误"),
+ )
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-5")
+
+ # 验证结果
+ stored = db.get_run("run-5")
+ assert stored["status"] == "FAILED"
+ assert "节点内部错误" in stored["error"]
+
+
+# ---------------------------------------------------------------------------
+# 暂停语义
+# ---------------------------------------------------------------------------
+
+
+def test_execute_run_leaves_paused_run_untouched(tmp_path: Path) -> None:
+ """以 PAUSED 进入时直接返回保持暂停（修复"点击暂停反而开始任务"）。"""
+ # 数据：PAUSED 状态的任务。
+ definition = _definition(
+ nodes=[{"id": "step", "node_type": "echo", "inputs": {}}],
+ edges=[],
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ db.create_run(_run("run-6", "input", status="PAUSED"))
+ registry.register_all()
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-6")
+
+ # 验证结果：仍为 PAUSED，且未产生任何产物。
+ assert db.get_run("run-6")["status"] == "PAUSED"
+ assert db.list_artifacts("run-6") == []
+
+
+def test_execute_run_stops_at_node_boundary_when_paused(tmp_path: Path) -> None:
+ """运行中被暂停：在当前节点边界停下保持 PAUSED，不标 FAILED。"""
+ # 数据：两节点链；第一个节点执行时把任务置 PAUSED。
+ from wov_sdk.models import InvokeResponse, NodeManifest
+
+ definition = _definition(
+ nodes=[
+ {"id": "step1", "node_type": "pause-me", "inputs": {}},
+ {"id": "step2", "node_type": "echo", "inputs": {}},
+ ],
+ edges=[{"from": "step1", "to": "step2"}],
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ db.create_run(_run("run-7", "input"))
+ registry.register_all()
+
+ def pause_handler(request):
+ """模拟用户在该节点执行期间点击暂停。"""
+ db.pause_run("run-7", "t2")
+ return InvokeResponse(status="completed", outputs={"file_uri": "/tmp/x"})
+
+ registry.register(
+ NodeManifest(id="pause-me", name="暂停节点", version="1", capability="c", command=["python"]),
+ pause_handler,
+ )
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-7")
+
+ # 验证结果：保持 PAUSED，step2 未执行。
+ assert db.get_run("run-7")["status"] == "PAUSED"
+ names = {a["name"] for a in db.list_artifacts("run-7")}
+ assert not any(name.startswith("step2") for name in names)
+
+
+def test_execute_run_clears_stale_pause_flag(tmp_path: Path) -> None:
+ """执行前清理残留的 paused.flag（避免误触发节点内暂停）。"""
+ # 数据：单节点任务 + 已存在的 paused.flag。
+ definition = _definition(
+ nodes=[{"id": "step", "node_type": "echo", "inputs": {}}],
+ edges=[],
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ db.create_run(_run("run-8", "input"))
+ registry.register_all()
+ run_root = storage / "runs" / "run-8"
+ run_root.mkdir(parents=True)
+ (run_root / "paused.flag").write_text("", encoding="utf-8")
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-8")
+
+ # 验证结果：标志被清除，任务正常完成。
+ assert not (run_root / "paused.flag").exists()
+ assert db.get_run("run-8")["status"] == "COMPLETED"
+
+
+# ---------------------------------------------------------------------------
+# 断点续跑与参数覆盖
+# ---------------------------------------------------------------------------
+
+
+def test_execute_run_resumes_from_existing_artifacts(tmp_path: Path) -> None:
+ """断点续跑：已有产物的节点被跳过，只执行剩余节点。"""
+ # 数据：两节点链，step1 产物已登记。
+ calls: list[str] = []
+
+ def tracking_handler(node_id: str):
+ def handler(request):
+ from wov_sdk.models import InvokeResponse
+
+ calls.append(node_id)
+ return InvokeResponse(status="completed", outputs={"file_uri": f"/tmp/{node_id}"})
+
+ return handler
+
+ definition = _definition(
+ nodes=[
+ {"id": "step1", "node_type": "track1", "inputs": {}},
+ {"id": "step2", "node_type": "track2", "inputs": {}},
+ ],
+ edges=[{"from": "step1", "to": "step2"}],
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ db.create_run(_run("run-9", "input"))
+ db.create_artifact({
+ "run_id": "run-9", "node_id": "step1", "name": "step1.file_uri",
+ "uri": "/tmp/step1", "kind": "file",
+ })
+ from wov_sdk.models import NodeManifest
+
+ registry.register(
+ NodeManifest(id="track1", name="t1", version="1", capability="c", command=["python"]),
+ tracking_handler("step1"),
+ )
+ registry.register(
+ NodeManifest(id="track2", name="t2", version="1", capability="c", command=["python"]),
+ tracking_handler("step2"),
+ )
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-9")
+
+ # 验证结果：只调用了 step2。
+ assert calls == ["step2"]
+ assert db.get_run("run-9")["status"] == "COMPLETED"
+
+
+def test_execute_run_applies_param_overrides(tmp_path: Path) -> None:
+ """param_overrides 按节点 ID 合并进节点参数（前端框选 crop 的通道）。"""
+ # 数据：节点参数与覆盖值同时存在。
+ received: list[dict] = []
+
+ def handler(request):
+ from wov_sdk.models import InvokeResponse
+
+ received.append(dict(request.params))
+ return InvokeResponse(status="completed", outputs={"file_uri": "/tmp/x"})
+
+ definition = _definition(
+ nodes=[{
+ "id": "step", "node_type": "param-node",
+ "inputs": {}, "params": {"interval_seconds": 0.5, "crop": [0, 0, 1, 1]},
+ }],
+ edges=[],
+ )
+ storage = tmp_path / "storage"
+ db = _db_with_workflow(tmp_path, definition)
+ db.create_run(_run("run-10", "input", param_overrides={"step": {"crop": [0, 0.75, 1, 0.25]}}))
+ from wov_sdk.models import NodeManifest
+
+ registry.register(
+ NodeManifest(id="param-node", name="p", version="1", capability="c", command=["python"]),
+ handler,
+ )
+
+ # 测试过程
+ _scheduler(db, storage).execute_run("run-10")
+
+ # 验证结果：覆盖值生效，未覆盖的参数保持原样。
+ assert received == [{"interval_seconds": 0.5, "crop": [0, 0.75, 1, 0.25]}]
+
+
+# ---------------------------------------------------------------------------
+# 线程生命周期
+# ---------------------------------------------------------------------------
+
+
+def test_start_and_stop_are_idempotent(tmp_path: Path) -> None:
+ """start 重复调用不产生多余线程；stop 正常结束。"""
+ # 数据：空库 + 调度器。
+ db = Database(tmp_path / "wov.db")
+ scheduler = WorkflowScheduler(db, tmp_path / "storage", interval_seconds=999)
+
+ # 测试过程
+ scheduler.start()
+ first = scheduler._thread
+ scheduler.start()
+ second = scheduler._thread
+ scheduler.stop()
+
+ # 验证结果
+ assert first is second
+ assert scheduler._thread is None
diff --git a/tests/app/test_seed/__init__.py b/tests/app/test_seed/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_seed/test_seed.py b/tests/app/test_seed/test_seed.py
new file mode 100644
index 0000000..4a7773a
--- /dev/null
+++ b/tests/app/test_seed/test_seed.py
@@ -0,0 +1,127 @@
+"""src/wov_app/seed.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/seed.py`（从 workflows/*.json 载入内置工作流，幂等），
+可独立调用。用例使用真实仓库工作流 JSON 与临时 SQLite 库。
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from wov_app.db import Database
+from wov_app.seed import seed_default_workflows
+
+# 仓库根与真实内置工作流目录。
+WORKSPACE = Path(__file__).resolve().parents[3]
+WORKFLOWS_DIR = WORKSPACE / "workflows"
+
+
+def _db(tmp_path: Path) -> Database:
+ """每个用例一个临时 SQLite 库。"""
+ return Database(tmp_path / "wov.db")
+
+
+def test_seed_loads_all_builtin_workflows(tmp_path: Path) -> None:
+ """真实 workflows/*.json 全部写入库，且数量与文件数一致。"""
+ # 数据：仓库真实工作流数据文件。
+ db = _db(tmp_path)
+ expected = {p.stem for p in WORKFLOWS_DIR.glob("*.json")}
+ assert expected, "仓库应至少有一个内置工作流数据文件"
+
+ # 测试过程
+ created = seed_default_workflows(db, WORKFLOWS_DIR)
+ stored = {w["id"] for w in db.list_workflows()}
+
+ # 验证结果
+ assert created == len(expected)
+ assert stored == expected
+
+
+def test_seed_creates_version_record_with_valid_dag(tmp_path: Path) -> None:
+ """每个工作流写入 v1 版本记录，DAG 通过结构校验（节点/边合法）。"""
+ # 数据：真实工作流目录。
+ db = _db(tmp_path)
+
+ # 测试过程
+ seed_default_workflows(db, WORKFLOWS_DIR)
+
+ # 验证结果：以真实 OCR 工作流为例，节点与版本齐全。
+ version = db.get_latest_workflow_version("ocr-subtitle")
+ assert version is not None
+ definition = version["definition"]
+ node_ids = {n["id"] for n in definition["nodes"]}
+ assert {"extract", "ocr", "filter"} <= node_ids
+ assert definition["edges"]
+
+
+def test_seed_is_idempotent(tmp_path: Path) -> None:
+ """重复 seed 不覆盖已有工作流，第二次返回创建数 0。"""
+ # 数据：先 seed 一次。
+ db = _db(tmp_path)
+ first = seed_default_workflows(db, WORKFLOWS_DIR)
+
+ # 测试过程：再次 seed。
+ second = seed_default_workflows(db, WORKFLOWS_DIR)
+
+ # 验证结果
+ assert first > 0
+ assert second == 0
+ assert len(db.list_workflows()) == first
+
+
+def test_seed_does_not_overwrite_user_modification(tmp_path: Path) -> None:
+ """已存在的工作流不被 seed 覆盖（保护用户改过的数据）。"""
+ # 数据：先写入一个与内置同 ID 的自定义工作流。
+ db = _db(tmp_path)
+ db.upsert_workflow({
+ "id": "zh-direct", "name": "用户改过的名字", "description": "", "published": 0,
+ "latest_version": 1,
+ })
+
+ # 测试过程
+ seed_default_workflows(db, WORKFLOWS_DIR)
+
+ # 验证结果：用户版本保留。
+ assert db.get_workflow("zh-direct")["name"] == "用户改过的名字"
+
+
+def test_seed_from_empty_directory_creates_nothing(tmp_path: Path) -> None:
+ """空目录不创建任何工作流（数据驱动，无硬编码兜底）。"""
+ # 数据：空目录。
+ empty = tmp_path / "workflows"
+ empty.mkdir()
+ db = _db(tmp_path)
+
+ # 测试过程
+ created = seed_default_workflows(db, empty)
+
+ # 验证结果
+ assert created == 0
+ assert db.list_workflows() == []
+
+
+def test_seed_marks_workflows_published(tmp_path: Path) -> None:
+ """内置工作流默认已发布（用户端可直接选择执行）。"""
+ # 数据：真实工作流目录。
+ db = _db(tmp_path)
+
+ # 测试过程
+ seed_default_workflows(db, WORKFLOWS_DIR)
+
+ # 验证结果
+ for workflow in db.list_workflows():
+ assert workflow["published"] == 1
+
+
+def test_seed_honors_version_from_data_file(tmp_path: Path) -> None:
+ """版本号取自数据文件（不同工作流可有不同当前版本）。"""
+ # 数据：真实工作流目录（含 v7 的 ocr-subtitle）。
+ db = _db(tmp_path)
+
+ # 测试过程
+ seed_default_workflows(db, WORKFLOWS_DIR)
+
+ # 验证结果：与数据文件声明一致。
+ payload = json.loads((WORKFLOWS_DIR / "ocr-subtitle.json").read_text(encoding="utf-8"))
+ assert db.get_workflow("ocr-subtitle")["latest_version"] == int(payload.get("version", 1))
diff --git a/tests/app/test_storage/__init__.py b/tests/app/test_storage/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/app/test_storage/test_atomic_copy.py b/tests/app/test_storage/test_atomic_copy.py
new file mode 100644
index 0000000..11645b1
--- /dev/null
+++ b/tests/app/test_storage/test_atomic_copy.py
@@ -0,0 +1,131 @@
+"""src/wov_app/storage.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_app/storage.py`（产物文件原子复制），被 scheduler 与
+batch 复用，也可独立调用。用例使用真实文件系统（tmp_path）验证复制完整性与
+失败时对原目标的保护。
+"""
+
+from __future__ import annotations
+
+import stat
+from pathlib import Path
+
+import pytest
+
+from wov_app.storage import atomic_copy
+
+
+def test_atomic_copy_creates_target_with_same_content(tmp_path: Path) -> None:
+ """复制后目标存在且内容与源一致（源保留）。"""
+ # 数据：真实的源文件（含中文内容）。
+ source = tmp_path / "src.srt"
+ source.write_text("1\n00:00:01,000 --> 00:00:02,000\n你好\n", encoding="utf-8")
+ target = tmp_path / "out" / "movie.CN.srt"
+
+ # 测试过程
+ atomic_copy(source, target)
+
+ # 验证结果：源保留、目标内容一致。
+ assert source.is_file()
+ assert target.read_text(encoding="utf-8") == source.read_text(encoding="utf-8")
+
+
+def test_atomic_copy_creates_parent_directories(tmp_path: Path) -> None:
+ """目标父目录不存在时自动创建（产物目录可能尚未建立）。"""
+ # 数据：深层不存在的目录。
+ source = tmp_path / "a.txt"
+ source.write_text("x", encoding="utf-8")
+ target = tmp_path / "deep" / "nested" / "dir" / "a.txt"
+
+ # 测试过程
+ atomic_copy(source, target)
+
+ # 验证结果
+ assert target.is_file()
+ assert target.parent.is_dir()
+
+
+def test_atomic_copy_overwrites_existing_target(tmp_path: Path) -> None:
+ """目标已存在时被完整替换（旧内容不残留）。"""
+ # 数据：已存在的旧目标（内容更长，用于检测残留）。
+ source = tmp_path / "new.srt"
+ source.write_text("新", encoding="utf-8")
+ target = tmp_path / "movie.CN.srt"
+ target.write_text("旧的非常长的内容" * 100, encoding="utf-8")
+
+ # 测试过程
+ atomic_copy(source, target)
+
+ # 验证结果：内容被完全替换，无旧内容残留。
+ assert target.read_text(encoding="utf-8") == "新"
+
+
+def test_atomic_copy_preserves_binary_content(tmp_path: Path) -> None:
+ """二进制内容（如 ASS 的 BOM/CRLF）逐字节一致。"""
+ # 数据：带 BOM 与 CRLF 的字节序列。
+ payload = "\ufeff[Script Info]\r\nTitle: 测试\r\n".encode("utf-8")
+ source = tmp_path / "src.ass"
+ source.write_bytes(payload)
+ target = tmp_path / "dst.ass"
+
+ # 测试过程
+ atomic_copy(source, target)
+
+ # 验证结果：逐字节一致。
+ assert target.read_bytes() == payload
+
+
+def test_atomic_copy_cleans_temp_file_on_success(tmp_path: Path) -> None:
+ """成功后不留下临时文件（目录里只有源与目标）。"""
+ # 数据：源文件。
+ source = tmp_path / "src.txt"
+ source.write_text("x", encoding="utf-8")
+ target = tmp_path / "dst.txt"
+
+ # 测试过程
+ atomic_copy(source, target)
+
+ # 验证结果：无 *.tmp 残留。
+ assert not list(tmp_path.glob("*.tmp"))
+
+
+def test_atomic_copy_keeps_target_and_cleans_temp_on_failure(tmp_path: Path) -> None:
+ """复制失败时保留原目标、清理临时文件（R03：不暴露写了一半的成品）。"""
+ # 数据：源文件不存在（触发 copy2 失败），目标已存在有效内容。
+ missing = tmp_path / "missing.txt"
+ target = tmp_path / "movie.CN.srt"
+ target.write_text("原有有效成品", encoding="utf-8")
+
+ # 测试过程与验证结果：抛错，原目标未被破坏，无临时文件残留。
+ with pytest.raises(FileNotFoundError):
+ atomic_copy(missing, target)
+ assert target.read_text(encoding="utf-8") == "原有有效成品"
+ assert not list(tmp_path.glob("*.tmp"))
+
+
+def test_atomic_copy_exists_with_missing_target_on_failure(tmp_path: Path) -> None:
+ """复制失败且目标原本不存在时，不产生残缺目标文件。"""
+ # 数据：源不存在、目标不存在。
+ missing = tmp_path / "missing.txt"
+ target = tmp_path / "new.CN.srt"
+
+ # 测试过程与验证结果
+ with pytest.raises(FileNotFoundError):
+ atomic_copy(missing, target)
+ assert not target.exists()
+ assert not list(tmp_path.glob("*.tmp"))
+
+
+def test_atomic_copy_preserves_source_permissions_semantics(tmp_path: Path) -> None:
+ """目标可读（copy2 保留元数据，权限不会导致后续读取失败）。"""
+ # 数据：普通源文件。
+ source = tmp_path / "src.txt"
+ source.write_text("内容", encoding="utf-8")
+ target = tmp_path / "dst.txt"
+
+ # 测试过程
+ atomic_copy(source, target)
+
+ # 验证结果：目标可读且非空。
+ assert target.read_text(encoding="utf-8") == "内容"
+ assert target.stat().st_size > 0
diff --git a/tests/conftest.py b/tests/conftest.py
deleted file mode 100644
index 2fc5635..0000000
--- a/tests/conftest.py
+++ /dev/null
@@ -1,44 +0,0 @@
-"""pytest 全局配置。
-
-在测试进程启动时创建独立临时目录，并通过环境变量把应用的数据目录、数据库、
-存储和后台服务全部指向测试环境，避免污染本地开发数据；同时隔离进程内节点
-注册表，防止测试之间互相泄漏注册条目。
-"""
-
-import atexit
-import os
-import shutil
-import tempfile
-from pathlib import Path
-
-import pytest
-
-# 每个测试进程使用独立临时根目录，保证测试之间互不干扰。
-TEST_ROOT = Path(tempfile.mkdtemp(prefix="vrsub-test-"))
-os.environ["WOV_DATA_DIR"] = str(TEST_ROOT / "data")
-os.environ["WOV_DB_PATH"] = str(TEST_ROOT / "data" / "wov.db")
-os.environ["WOV_STORAGE_DIR"] = str(TEST_ROOT / "storage")
-# 默认关闭自动种子和后台调度，测试显式控制执行时机。
-os.environ["WOV_AUTO_SEED"] = "0"
-os.environ["WOV_SCHEDULER_ENABLED"] = "0"
-os.environ["WOV_CLEANUP_ENABLED"] = "0"
-# 默认关闭批量引擎后台线程：API 测试手工控制执行时机，避免后台线程与断言竞态。
-os.environ["WOV_BATCH_ENABLED"] = "0"
-
-def _cleanup() -> None:
- """进程退出时清理临时测试目录。"""
- shutil.rmtree(TEST_ROOT, ignore_errors=True)
-
-
-atexit.register(_cleanup)
-
-
-@pytest.fixture(autouse=True)
-def _isolate_registry():
- """快照并恢复进程内节点注册表，避免测试之间互相污染。"""
- from wov_app import registry
-
- snapshot = dict(registry._registry)
- yield
- registry._registry.clear()
- registry._registry.update(snapshot)
diff --git a/tests/nodes/__init__.py b/tests/nodes/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_adaptive_pool/__init__.py b/tests/nodes/test_adaptive_pool/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_adaptive_pool/test_pool.py b/tests/nodes/test_adaptive_pool/test_pool.py
new file mode 100644
index 0000000..e97c5b9
--- /dev/null
+++ b/tests/nodes/test_adaptive_pool/test_pool.py
@@ -0,0 +1,346 @@
+"""nodes/adaptive_pool.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/adaptive_pool.py`（自适应并发额度控制），被 subtitle-ocr 与
+llm-filter 复用，也可独立使用，因此拥有独立模块目录。
+
+测试只调用真实并发池，`clock` 注入假时钟以实现确定性的窗口行为；worker 用
+真实可执行函数（无 I/O 依赖），不重写被测逻辑。
+"""
+
+from __future__ import annotations
+
+import threading
+import time
+
+from nodes.adaptive_pool import AdaptiveThreadPool, decide
+
+
+class FakeClock:
+ """可手动拨动的假时钟（时间属于允许在 I/O 边界注入的依赖）。"""
+
+ def __init__(self, now: float = 0.0) -> None:
+ self.now = now
+
+ def __call__(self) -> float:
+ return self.now
+
+ def advance(self, seconds: float) -> None:
+ self.now += seconds
+
+
+# ---------------------------------------------------------------------------
+# 决策函数
+# ---------------------------------------------------------------------------
+
+
+def test_decide_increases_when_response_fast() -> None:
+ """平均响应低于快阈值且未达上限：额度 +1。"""
+ # 数据：当前 1、均值 0.1、上限 16。
+ # 测试过程与验证结果
+ assert decide(1, 0.1, 1, 16, 0.3, 1.0) == 2
+
+
+def test_decide_decreases_when_response_slow() -> None:
+ """平均响应高于慢阈值且高于下限：额度 -1。"""
+ # 数据：当前 3、均值 2.0。
+ # 测试过程与验证结果
+ assert decide(3, 2.0, 1, 16, 0.3, 1.0) == 2
+
+
+def test_decide_keeps_when_response_between_thresholds() -> None:
+ """响应介于两阈值之间时额度不变。"""
+ # 数据：当前 2、均值 0.5。
+ # 测试过程与验证结果
+ assert decide(2, 0.5, 1, 16, 0.3, 1.0) == 2
+
+
+def test_decide_respects_bounds() -> None:
+ """已达上限不再增、已达下限不再减。"""
+ # 数据：上限 16 且很快；下限 1 且很慢。
+ # 测试过程与验证结果
+ assert decide(16, 0.1, 1, 16, 0.3, 1.0) == 16
+ assert decide(1, 2.0, 1, 16, 0.3, 1.0) == 1
+
+
+# ---------------------------------------------------------------------------
+# map 基本行为
+# ---------------------------------------------------------------------------
+
+
+def test_map_returns_results_in_input_order() -> None:
+ """并发执行但结果严格按输入顺序返回，保证字幕时间轴不被并发打乱。"""
+ # 数据：让后面的任务更早开始的输入；worker 是确定性的纯函数。
+ items = [3, 2, 1]
+ pool = AdaptiveThreadPool(worker=lambda value: value * 100)
+
+ # 测试过程
+ results = pool.map(items)
+
+ # 验证结果：顺序与输入一致。
+ assert results == [300, 200, 100]
+
+
+def test_map_empty_input_returns_empty_list() -> None:
+ """空输入返回空结果，不启动任务也不报错。"""
+ # 数据：空列表。
+ pool = AdaptiveThreadPool(worker=lambda item: item)
+
+ # 测试过程与验证结果
+ assert pool.map([]) == []
+
+
+def test_map_isolates_worker_exception_as_result() -> None:
+ """worker 抛出的异常作为该位置的结果返回，不影响其他任务。"""
+ # 数据：第二个元素触发异常。
+ def worker(item: int) -> int:
+ if item == 2:
+ raise ValueError("boom")
+ return item
+
+ pool = AdaptiveThreadPool(worker=worker)
+
+ # 测试过程
+ results = pool.map([1, 2, 3])
+
+ # 验证结果：异常对象保留在对应位置，其余结果正常。
+ assert results[0] == 1
+ assert isinstance(results[1], ValueError)
+ assert results[2] == 3
+
+
+def test_progress_callback_reports_completed_and_workers() -> None:
+ """进度回调按完成数递增上报，并带上当前额度。"""
+ # 数据：记录全部回调的列表。
+ calls: list[tuple[int, int, int]] = []
+ pool = AdaptiveThreadPool(
+ worker=lambda item: item,
+ on_progress=lambda done, total, rate, avg, workers: calls.append((done, total, workers)),
+ )
+
+ # 测试过程
+ pool.map([1, 2, 3])
+
+ # 验证结果：完成数依次为 1、2、3，总数恒为 3，额度不低于下限。
+ assert [c[0] for c in calls] == [1, 2, 3]
+ assert all(c[1] == 3 for c in calls)
+ assert all(c[2] >= 1 for c in calls)
+
+
+def test_cancel_suppresses_progress_but_supplies_all_results() -> None:
+ """cancel 只抑制进度回调；每个输入仍返回结果（供调用方决定重试）。"""
+ # 数据：worker 在第一个任务里触发 cancel。
+ pool: AdaptiveThreadPool
+
+ def worker(item: int) -> int:
+ if item == 0:
+ pool.cancel()
+ return item
+
+ pool = AdaptiveThreadPool(worker=worker, on_progress=lambda *a: calls.append(a))
+ calls: list[tuple] = []
+
+ # 测试过程
+ results = pool.map([0, 1, 2])
+
+ # 验证结果：结果完整，进度回调被抑制。
+ assert results == [0, 1, 2]
+ assert calls == []
+
+
+def test_cancel_is_reset_for_next_map() -> None:
+ """同一实例再次 map 时清除 cancel 标记（暂停后继续、失败重试的调用约定）。"""
+ # 数据：第一批触发 cancel，第二批正常。
+ pool = AdaptiveThreadPool(worker=lambda item: item)
+ pool.cancel()
+ calls: list[tuple] = []
+ pool._on_progress = lambda *a: calls.append(a) # 直接复用真实回调槽位
+
+ # 测试过程
+ pool.map([1])
+
+ # 验证结果：新批次重新上报进度。
+ assert len(calls) == 1
+
+
+# ---------------------------------------------------------------------------
+# 弹性扩缩容（假时钟驱动确定性窗口）
+# ---------------------------------------------------------------------------
+
+
+def _timed_pool(clock: FakeClock, worker, **kwargs) -> AdaptiveThreadPool:
+ """构造使用假时钟的真实线程池。"""
+ return AdaptiveThreadPool(worker=worker, clock=clock, window_seconds=1.0, **kwargs)
+
+
+def test_pool_grows_target_when_responses_fast() -> None:
+ """窗口内平均响应快时应扩大目标额度（服务端空闲就加大并发）。"""
+ # 数据：真实时钟 + 极短窗口；worker 只做微秒级工作，平均耗时远低于快阈值。
+ observed: list[int] = []
+
+ def worker(item: int) -> int:
+ time.sleep(0.002)
+ return item
+
+ pool = AdaptiveThreadPool(
+ worker=worker, min_workers=1, max_workers=8,
+ window_seconds=0.01, fast_threshold=0.3, slow_threshold=1.0,
+ )
+ pool._on_progress = lambda done, total, rate, avg, workers: observed.append(workers)
+
+ # 测试过程：任务足够多，保证跨越多个窗口触发扩容判断。
+ pool.map(list(range(40)))
+
+ # 验证结果：额度单调不减且最终大于起始值。
+ assert observed == sorted(observed)
+ assert observed[-1] > observed[0]
+
+
+def test_pool_shrinks_target_when_responses_slow() -> None:
+ """窗口内平均响应慢时应收缩目标额度（避免压垮本地服务）。"""
+ # 数据：真实时钟 + 极短窗口；worker 耗时远超慢阈值。
+ observed: list[int] = []
+
+ def worker(item: int) -> int:
+ time.sleep(0.02)
+ return item
+
+ pool = AdaptiveThreadPool(
+ worker=worker, min_workers=1, max_workers=8,
+ window_seconds=0.05, fast_threshold=0.001, slow_threshold=0.005,
+ )
+ pool._on_progress = lambda done, total, rate, avg, workers: observed.append(workers)
+
+ # 测试过程
+ pool.map(list(range(12)))
+
+ # 验证结果：出现回调，且额度始终不低于下限（不会缩到 0）。
+ assert observed
+ assert min(observed) >= 1
+
+
+def test_report_failure_lowers_effective_max_and_never_expands() -> None:
+ """report_failure 只收紧上限；上限从 20 降到 19 时不会把当前 1 并发扩成 19。"""
+ # 数据：上限 20、当前额度 1。
+ pool = AdaptiveThreadPool(worker=lambda item: item, min_workers=1, max_workers=20)
+
+ # 测试过程：报告一次限流失败。
+ pool.report_failure()
+
+ # 验证结果：有效上限降 1，当前目标仍为下限。
+ assert pool._effective_max_workers == 19
+ assert pool._target_workers <= 1
+
+
+def test_failure_at_single_worker_never_expands_quota() -> None:
+ """单并发下报告失败，绝不能因上限下降而把额度扩大。"""
+ # 数据：上限 20、最小 1，先启动一次 map 使额度为 1。
+ pool = AdaptiveThreadPool(worker=lambda item: item, min_workers=1, max_workers=20)
+ pool.map([1])
+
+ # 测试过程
+ pool.report_failure()
+
+ # 验证结果
+ assert pool._target_workers == 1
+
+
+def test_effective_max_recovers_one_step_per_clean_window() -> None:
+ """干净窗口每次只恢复 1 个上限，避免限流恢复期再次打满。"""
+ # 数据：先把有效上限压到 2。
+ clock = FakeClock()
+ pool = _timed_pool(clock, lambda item: item, min_workers=1, max_workers=5)
+ pool.report_failure()
+ pool.report_failure()
+ pool.report_failure()
+ assert pool._effective_max_workers == 2
+
+ # 测试过程：第一个 tick 消耗“有失败”的窗口（不恢复），第二个干净窗口恢复 1。
+ clock.advance(2.0)
+ pool._tick(0.1)
+ assert pool._effective_max_workers == 2
+ clock.advance(2.0)
+ pool._tick(0.1)
+
+ # 验证结果：干净窗口只恢复 1。
+ assert pool._effective_max_workers == 3
+
+
+def test_error_window_does_not_recover_limit() -> None:
+ """窗口内有失败时不恢复上限。"""
+ # 数据：上限 5，压到 3 后在同一窗口内报告失败。
+ clock = FakeClock()
+ pool = _timed_pool(clock, lambda item: item, min_workers=1, max_workers=5)
+ pool.report_failure()
+ pool.report_failure()
+ pool.report_failure()
+ before = pool._effective_max_workers
+
+ # 测试过程：窗口内先失败再触发 tick。
+ pool.report_failure()
+ clock.advance(2.0)
+ pool._tick(0.1)
+
+ # 验证结果：上限未恢复。
+ assert pool._effective_max_workers <= before
+
+
+def test_reduced_limit_is_kept_across_retry_map() -> None:
+ """限流后的有效上限跨 map 保留（失败条目重试时继续遵守更严配额）。"""
+ # 数据：先压低上限。
+ pool = AdaptiveThreadPool(worker=lambda item: item, min_workers=1, max_workers=6)
+ pool.map([1])
+ pool.report_failure()
+ reduced = pool._effective_max_workers
+
+ # 测试过程：执行第二轮 map（重试场景）。
+ pool.map([1, 2])
+
+ # 验证结果：上限仍是被压低的值。
+ assert pool._effective_max_workers == reduced
+
+
+def test_concurrent_map_on_same_pool_is_rejected() -> None:
+ """同一实例不允许并行 map，避免额度与统计互相干扰。"""
+ # 数据：第一个 map 阻塞在 worker 上。
+ started = threading.Event()
+ release = threading.Event()
+
+ def worker(item: int) -> int:
+ started.set()
+ release.wait(timeout=5)
+ return item
+
+ pool = AdaptiveThreadPool(worker=worker, min_workers=1, max_workers=2)
+ errors: list[Exception] = []
+
+ def run_first() -> None:
+ pool.map([1])
+
+ thread = threading.Thread(target=run_first)
+ thread.start()
+ assert started.wait(timeout=5)
+
+ # 测试过程：在第一个 map 未结束时再次调用 map。
+ try:
+ pool.map([2])
+ except Exception as exc: # noqa: BLE001 - 断言真实抛出的类型
+ errors.append(exc)
+ finally:
+ release.set()
+ thread.join(timeout=5)
+
+ # 验证结果：抛出 RuntimeError。
+ assert len(errors) == 1
+ assert isinstance(errors[0], RuntimeError)
+
+
+def test_max_concurrency_never_exceeds_target_limit() -> None:
+ """实际在途数量不超过 max_workers 上限（并发有界）。"""
+ # 数据：上限 3，10 个快速任务。
+ pool = AdaptiveThreadPool(worker=lambda item: item, min_workers=1, max_workers=3)
+
+ # 测试过程
+ pool.map(list(range(10)))
+
+ # 验证结果：观测到的最大在途数不超过上限。
+ assert 1 <= pool.max_concurrency <= 3
diff --git a/tests/nodes/test_ass/__init__.py b/tests/nodes/test_ass/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_ass/test_ass.py b/tests/nodes/test_ass/test_ass.py
new file mode 100644
index 0000000..44d445d
--- /dev/null
+++ b/tests/nodes/test_ass/test_ass.py
@@ -0,0 +1,288 @@
+"""nodes/ass.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/ass.py`（SRT → VR 双目 ASS，含统一样式出口），被
+srt-to-dual-eye-ass 节点与历史字幕统脚本共用，可独立调用。
+
+覆盖：SRT 解析（含多行与畸形行）、ASS 头与样式行、左右眼对照与零视差、
+顶部安全区（an8 + MarginV=700）、透明度、margin_top 参数化、invoke 全流程。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+from nodes.ass import (
+ DEFAULT_MARGIN_TOP,
+ _ass_header,
+ ass_header,
+ dialogue_line,
+ invoke,
+ parse_srt,
+ style_row,
+ write_ass,
+)
+from wov_sdk.models import InvokeRequest
+
+# 模块专用测试数据：两条（第二条为多行）SRT。
+SAMPLE_SRT = """1
+00:00:01,000 --> 00:00:02,000
+第一行
+第二行
+
+2
+00:00:04,000 --> 00:00:06,000
+第三行
+"""
+
+
+def _request(tmp_path: Path, srt_text: str, **params) -> InvokeRequest:
+ """构造真实 InvokeRequest：把输入 SRT 落到临时目录，输出目录同目录下。"""
+ srt_path = tmp_path / "input.srt"
+ srt_path.write_text(srt_text, encoding="utf-8")
+ return InvokeRequest(
+ run_id="run-test",
+ node_instance_id="ass-1",
+ params=params,
+ inputs={"cn_srt_uri": str(srt_path)},
+ output_dir=str(tmp_path / "out"),
+ )
+
+
+# ---------------------------------------------------------------------------
+# SRT 解析
+# ---------------------------------------------------------------------------
+
+
+def test_parse_srt_converts_comma_to_dot_and_joins_multiline() -> None:
+ """SRT 时间戳逗号转 ASS 点号；多行正文用 \\N 连接。"""
+ # 数据：两条，第一条两行正文。
+ text = SAMPLE_SRT
+
+ # 测试过程
+ entries = parse_srt(text)
+
+ # 验证结果：条数、时间戳格式与多行连接符。
+ assert len(entries) == 2
+ assert entries[0][0] == "00:00:01.000"
+ assert entries[0][1] == "00:00:02.000"
+ assert entries[0][2] == r"第一行\N第二行"
+
+
+def test_parse_srt_skips_malformed_timeline() -> None:
+ """缺少时间轴分隔符的畸形条目被跳过，不产生错误条目。"""
+ # 数据：一条畸形（无 -->）+ 一条正常。
+ text = "1\n00:00:01,000\n坏条目\n\n2\n00:00:04,000 --> 00:00:06,000\n正常\n"
+
+ # 测试过程
+ entries = parse_srt(text)
+
+ # 验证结果：只解析出正常条目。
+ assert len(entries) == 1
+ assert entries[0][2] == "正常"
+
+
+def test_parse_srt_empty_text() -> None:
+ """空文本解析为空列表。"""
+ # 数据：空字符串。
+ # 测试过程与验证结果
+ assert parse_srt("") == []
+
+
+# ---------------------------------------------------------------------------
+# 样式：单一事实来源
+# ---------------------------------------------------------------------------
+
+
+def test_ass_header_contains_resolution_and_styles() -> None:
+ """ASS 头包含分辨率、左右眼两条样式与必需字段。"""
+ # 数据：VR 常用分辨率 3840x1920。
+ # 测试过程
+ header = ass_header(3840, 1920)
+
+ # 验证结果
+ assert "PlayResX: 3840" in header
+ assert "PlayResY: 1920" in header
+ assert "Style: LeftEye," in header
+ assert "Style: RightEye," in header
+ assert "[Script Info]" in header and "[V4+ Styles]" in header and "[Events]" in header
+
+
+def test_style_row_top_aligned_with_margin() -> None:
+ """样式行使用 an8 顶部对齐 + MarginV 顶部安全边距（默认 700）。"""
+ # 数据：左眼样式，宽 3840，默认边距。
+ # 测试过程
+ row = style_row("LeftEye", 3840)
+
+ # 验证结果：末尾字段为 Alignment=8、MarginL=50、MarginR=1920（右眼区）、MarginV=700。
+ assert row.endswith(",8,50,1920,700,1")
+
+
+def test_style_row_uses_translucent_fill_and_outline() -> None:
+ """文字填充约 70% 透明、描边半透明黑，降低对画面的遮挡。"""
+ # 数据：任一样式行。
+ # 测试过程
+ row = style_row("LeftEye", 3840)
+
+ # 验证结果
+ assert "&HB3FFFFFF" in row
+ assert "&H80000000" in row
+ assert "Arial" in row
+
+
+def test_default_margin_top_is_700() -> None:
+ """默认顶部安全边距常量是 700（2026-09 调整，历史 120 已废弃）。"""
+ # 数据：模块常量。
+ # 测试过程与验证结果
+ assert DEFAULT_MARGIN_TOP == 700
+
+
+def test_dialogue_line_prefixes_top_alignment() -> None:
+ """Dialogue 行固定前缀 {\\an8}，保证每条字幕落在顶部安全区。"""
+ # 数据：一条字幕。
+ # 测试过程
+ line = dialogue_line("LeftEye", "0:00:01.00", "0:00:02.00", "你好")
+
+ # 验证结果
+ assert line == r"Dialogue: 0,0:00:01.00,0:00:02.00,LeftEye,,0,0,0,,{\an8}你好"
+
+
+# ---------------------------------------------------------------------------
+# 写出：左右眼与零视差
+# ---------------------------------------------------------------------------
+
+
+def test_write_ass_emits_both_eyes_with_identical_text(tmp_path: Path) -> None:
+ """每个条目输出左右眼两行 Dialogue，文本与水平相对位置完全一致（零视差）。"""
+ # 数据：单条字幕。
+ entries = parse_srt("1\n00:00:01,000 --> 00:00:02,000\n台词\n")
+ output = tmp_path / "out.ass"
+
+ # 测试过程
+ write_ass(entries, output, "3840x1920")
+ content = output.read_text(encoding="utf-8")
+
+ # 验证结果：两条 Dialogue（LeftEye/RightEye），文本各出现一次。
+ dialogue = [line for line in content.splitlines() if line.startswith("Dialogue:")]
+ assert len(dialogue) == 2
+ assert "LeftEye" in dialogue[0] and "RightEye" in dialogue[1]
+ assert dialogue[0].split(",,")[-1] == dialogue[1].split(",,")[-1]
+
+
+def test_write_ass_custom_margin_top_changes_style_row(tmp_path: Path) -> None:
+ """margin_top 参数化到样式行（不同分辨率/内容可微调顶部边距）。"""
+ # 数据：自定义边距 300。
+ entries = parse_srt(SAMPLE_SRT)
+ output = tmp_path / "out.ass"
+
+ # 测试过程
+ write_ass(entries, output, "3840x1920", margin_top=300)
+ content = output.read_text(encoding="utf-8")
+
+ # 验证结果：样式行的 MarginV 为 300。
+ assert ",8,50,1920,300,1" in content
+
+
+def test_write_ass_multiple_entries_keep_order(tmp_path: Path) -> None:
+ """多条字幕按输入顺序输出（时间轴顺序不被打乱）。"""
+ # 数据：两条字幕。
+ entries = parse_srt(SAMPLE_SRT)
+ output = tmp_path / "out.ass"
+
+ # 测试过程
+ write_ass(entries, output, "3840x1920")
+ dialogue = [
+ line for line in output.read_text(encoding="utf-8").splitlines()
+ if line.startswith("Dialogue:")
+ ]
+
+ # 验证结果：第 1、2 行属于第一条，第 3、4 行属于第二条。
+ assert "00:00:01.000" in dialogue[0] and "00:00:02.000" in dialogue[1]
+ assert "00:00:04.000" in dialogue[2] and "00:00:06.000" in dialogue[3]
+
+
+def test_ass_header_compat_interface_matches_new_header() -> None:
+ """兼容接口 _ass_header 与新版 ass_header 对同一分辨率输出一致（样式不漂移）。"""
+ # 数据：同一分辨率字符串与整数宽高。
+ # 测试过程与验证结果
+ assert _ass_header("3840x1920") == ass_header(3840, 1920)
+
+
+# ---------------------------------------------------------------------------
+# invoke 全流程
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_writes_ass_and_returns_uri(tmp_path: Path) -> None:
+ """invoke 读取 cn_srt_uri，写出 dual_eye.ass 并返回产物 URI。"""
+ # 数据：真实输入 SRT 文件 + 默认参数。
+ request = _request(tmp_path, SAMPLE_SRT)
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果：状态、产物存在、内容含左右眼。
+ assert response.status == "completed"
+ artifact = Path(response.outputs["ass_uri"])
+ assert artifact.is_file()
+ assert artifact.name == "dual_eye.ass"
+ assert "LeftEye" in artifact.read_text(encoding="utf-8")
+
+
+def test_invoke_honors_resolution_and_margin_params(tmp_path: Path) -> None:
+ """invoke 透传 resolution 与 margin_top 参数到产物。"""
+ # 数据：自定义分辨率 1920x1080 与边距 250。
+ request = _request(tmp_path, SAMPLE_SRT, resolution="1920x1080", margin_top=250)
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ content = Path(response.outputs["ass_uri"]).read_text(encoding="utf-8")
+ assert "PlayResX: 1920" in content
+ assert "PlayResY: 1080" in content
+ assert "250,1" in content
+
+
+def test_invoke_default_margin_top_is_700(tmp_path: Path) -> None:
+ """未传 margin_top 时使用默认 700。"""
+ # 数据：不传 margin_top。
+ request = _request(tmp_path, SAMPLE_SRT)
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ content = Path(response.outputs["ass_uri"]).read_text(encoding="utf-8")
+ assert ",8,50,1920,700,1" in content
+
+
+def test_invoke_fails_without_input_uri(tmp_path: Path) -> None:
+ """缺少 cn_srt_uri 输入时返回 failed 并说明原因。"""
+ # 数据：空输入。
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={}, inputs={}, output_dir=str(tmp_path)
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "cn_srt_uri" in (response.error or "")
+
+
+def test_invoke_fails_when_input_file_missing(tmp_path: Path) -> None:
+ """输入指向不存在的文件时返回 failed。"""
+ # 数据：不存在的路径。
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={},
+ inputs={"cn_srt_uri": str(tmp_path / "missing.srt")},
+ output_dir=str(tmp_path / "out"),
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "not found" in (response.error or "")
diff --git a/tests/nodes/test_echo/__init__.py b/tests/nodes/test_echo/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_echo/test_invoke.py b/tests/nodes/test_echo/test_invoke.py
new file mode 100644
index 0000000..1591443
--- /dev/null
+++ b/tests/nodes/test_echo/test_invoke.py
@@ -0,0 +1,97 @@
+"""nodes/echo.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/echo.py`（示例回显节点），用于验证节点协议与注册表链路，
+可独立调用。测试只调用真实 `invoke`，自行准备输入数据并检查产物。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+from nodes.echo import invoke
+from wov_sdk.models import InvokeRequest
+
+
+def _request(tmp_path: Path, inputs: dict) -> InvokeRequest:
+ """构造一个真实 InvokeRequest；输出目录指向本用例的临时目录。"""
+ return InvokeRequest(
+ run_id="run-test",
+ node_instance_id="echo-1",
+ params={},
+ inputs=inputs,
+ output_dir=str(tmp_path / "out"),
+ )
+
+
+def test_invoke_echoes_text_input(tmp_path: Path) -> None:
+ """传入 text 时直接回显该文本，并把文本写入产物文件。"""
+ # 数据：请求直接携带文本。
+ request = _request(tmp_path, {"text": "你好，字幕"})
+
+ # 测试过程：调用真实节点处理器。
+ response = invoke(request)
+
+ # 验证结果：状态为 completed，输出文本一致，产物文件内容一致。
+ assert response.status == "completed"
+ assert response.outputs["text"] == "你好，字幕"
+ artifact = Path(response.outputs["file_uri"])
+ assert artifact.read_text(encoding="utf-8") == "你好，字幕"
+
+
+def test_invoke_reads_absolute_file_uri(tmp_path: Path) -> None:
+ """未给 text 时读取 file_uri 指向的绝对路径文件内容。"""
+ # 数据：临时目录下的真实输入文件。
+ source = tmp_path / "input.txt"
+ source.write_text("来自文件的文本", encoding="utf-8")
+
+ # 测试过程
+ response = invoke(_request(tmp_path, {"file_uri": str(source)}))
+
+ # 验证结果
+ assert response.outputs["text"] == "来自文件的文本"
+
+
+def test_invoke_resolves_relative_file_uri_from_workspace(tmp_path: Path) -> None:
+ """相对 file_uri 以仓库根为基准解析（节点不启动独立进程，无自己的工作目录）。"""
+ # 数据：相对路径指向仓库根下的真实文件。
+ workspace = Path(__file__).resolve().parents[3]
+ relative = "pyproject.toml"
+ assert (workspace / relative).is_file()
+
+ # 测试过程
+ response = invoke(_request(tmp_path, {"file_uri": relative}))
+
+ # 验证结果：读到的内容与仓库根下该文件一致。
+ assert response.outputs["text"] == (workspace / relative).read_text(encoding="utf-8")
+
+
+def test_invoke_defaults_to_fixed_text(tmp_path: Path) -> None:
+ """既无 text 也无 file_uri 时返回固定文本，保证链路总有可演示输出。"""
+ # 数据：空输入。
+ request = _request(tmp_path, {})
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.outputs["text"] == "echo"
+
+
+def test_invoke_creates_output_directory(tmp_path: Path) -> None:
+ """输出目录不存在时由节点创建，产物始终落在请求给定的 output_dir。"""
+ # 数据：输出目录尚未创建（_request 只给路径）。
+ output_dir = tmp_path / "not-yet"
+
+ # 测试过程
+ request = InvokeRequest(
+ run_id="run-test",
+ node_instance_id="echo-1",
+ params={},
+ inputs={"text": "x"},
+ output_dir=str(output_dir),
+ )
+ response = invoke(request)
+
+ # 验证结果：目录被创建且产物在目录内。
+ assert output_dir.is_dir()
+ assert Path(response.outputs["file_uri"]).parent == output_dir
diff --git a/tests/nodes/test_ffmpeg/__init__.py b/tests/nodes/test_ffmpeg/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_ffmpeg/data/clip_with_audio.mp4 b/tests/nodes/test_ffmpeg/data/clip_with_audio.mp4
new file mode 100644
index 0000000..50c2b2b
Binary files /dev/null and b/tests/nodes/test_ffmpeg/data/clip_with_audio.mp4 differ
diff --git a/tests/nodes/test_ffmpeg/data/subtitle_10s.mp4 b/tests/nodes/test_ffmpeg/data/subtitle_10s.mp4
new file mode 100644
index 0000000..ca84227
Binary files /dev/null and b/tests/nodes/test_ffmpeg/data/subtitle_10s.mp4 differ
diff --git a/tests/nodes/test_ffmpeg/test_extract.py b/tests/nodes/test_ffmpeg/test_extract.py
new file mode 100644
index 0000000..d8da2c0
--- /dev/null
+++ b/tests/nodes/test_ffmpeg/test_extract.py
@@ -0,0 +1,196 @@
+"""nodes/ffmpeg.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/ffmpeg.py`（ffmpeg 定位 + 提音），可独立调用。
+测试使用模块目录 `data/` 下的真实视频，调用真实 ffmpeg 子进程产出真实 WAV；
+仅在 I/O 边界（环境变量 / PATH 查找）使用 monkeypatch。
+"""
+
+from __future__ import annotations
+
+import shutil
+import subprocess
+import wave
+from pathlib import Path
+
+import pytest
+
+from nodes.ffmpeg import _bundled_ffmpeg, _ffmpeg_bin, invoke
+from wov_sdk.models import InvokeRequest
+
+# 模块专用真实素材：
+# - clip_with_audio.mp4：10 秒真实视频 + 真实语音音轨（提音用例的输入）；
+# - subtitle_10s.mp4：仅视频无音轨（用于验证"无音频流"时的失败路径）。
+DATA_DIR = Path(__file__).resolve().parent / "data"
+TEST_VIDEO = DATA_DIR / "clip_with_audio.mp4"
+VIDEO_WITHOUT_AUDIO = DATA_DIR / "subtitle_10s.mp4"
+
+
+def _request(tmp_path: Path, video: Path | None, **params) -> InvokeRequest:
+ """构造真实请求；video 为 None 时表示不传 video_uri。"""
+ inputs = {} if video is None else {"video_uri": str(video)}
+ return InvokeRequest(
+ run_id="run-test",
+ node_instance_id="ffmpeg-1",
+ params=params,
+ inputs=inputs,
+ output_dir=str(tmp_path / "out"),
+ )
+
+
+def _available_ffmpeg() -> str | None:
+ """返回当前环境可用的 ffmpeg 路径（用于跳过缺少 ffmpeg 的环境）。"""
+ found = shutil.which("ffmpeg")
+ if found:
+ return found
+ return _bundled_ffmpeg()
+
+
+# ---------------------------------------------------------------------------
+# ffmpeg 定位
+# ---------------------------------------------------------------------------
+
+
+def test_ffmpeg_bin_prefers_explicit_env(monkeypatch, tmp_path: Path) -> None:
+ """FFMPEG_BIN 环境变量最优先（部署可指定自定义二进制）。"""
+ # 数据：显式配置一个真实存在的假二进制路径。
+ fake = tmp_path / "my-ffmpeg"
+ fake.write_text("#!/bin/sh\n", encoding="utf-8")
+ monkeypatch.setenv("FFMPEG_BIN", str(fake))
+
+ # 测试过程与验证结果
+ assert _ffmpeg_bin() == str(fake)
+
+
+def test_ffmpeg_bin_falls_back_to_path(monkeypatch) -> None:
+ """未配置环境变量时使用 PATH 中的 ffmpeg。"""
+ # 数据：清除显式配置。
+ monkeypatch.delenv("FFMPEG_BIN", raising=False)
+
+ # 测试过程
+ resolved = _ffmpeg_bin()
+
+ # 验证结果：返回可执行的 ffmpeg（PATH 或内置二进制）。
+ assert resolved
+ assert shutil.which(resolved) is not None or Path(resolved).is_file()
+
+
+def test_ffmpeg_bin_falls_back_to_bundled(monkeypatch) -> None:
+ """PATH 无 ffmpeg 时回退 imageio-ffmpeg 内置二进制。"""
+ # 数据：清空环境变量并让 which 返回 None。
+ monkeypatch.delenv("FFMPEG_BIN", raising=False)
+ monkeypatch.setattr(shutil, "which", lambda name: None)
+
+ # 测试过程
+ resolved = _ffmpeg_bin()
+
+ # 验证结果：得到内置二进制路径（本环境已安装 imageio-ffmpeg）。
+ bundled = _bundled_ffmpeg()
+ assert resolved == (bundled or "ffmpeg")
+
+
+def test_ffmpeg_bin_returns_plain_name_when_nothing_available(monkeypatch) -> None:
+ """完全不可用时返回裸名 "ffmpeg"，由调用处统一报失败。"""
+ # 数据：环境变量、PATH、内置二进制都不可用。
+ monkeypatch.delenv("FFMPEG_BIN", raising=False)
+ monkeypatch.setattr(shutil, "which", lambda name: None)
+ monkeypatch.setattr("nodes.ffmpeg._bundled_ffmpeg", lambda: None)
+
+ # 测试过程与验证结果
+ assert _ffmpeg_bin() == "ffmpeg"
+
+
+# ---------------------------------------------------------------------------
+# invoke：真实提音
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_extracts_16k_mono_wav(tmp_path: Path) -> None:
+ """真实视频 → 16kHz 单声道 WAV 产物（ASR 节点的输入契约）。"""
+ # 数据：模块 data/ 下带真实语音音轨的测试视频。
+ if _available_ffmpeg() is None:
+ pytest.skip("环境中没有可用 ffmpeg")
+ assert TEST_VIDEO.is_file(), f"缺少测试视频 {TEST_VIDEO}"
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEST_VIDEO))
+
+ # 验证结果：产物存在，WAV 头为 16kHz 单声道，时长与源视频一致（约 10s）。
+ assert response.status == "completed", response.error
+ audio = Path(response.outputs["audio_uri"])
+ assert audio.is_file() and audio.suffix == ".wav"
+ with wave.open(str(audio), "rb") as wav:
+ assert wav.getframerate() == 16000
+ assert wav.getnchannels() == 1
+ duration = wav.getnframes() / wav.getframerate()
+ assert 9.0 <= duration <= 11.0
+
+
+def test_invoke_honors_sample_rate_and_channels_params(tmp_path: Path) -> None:
+ """sample_rate / channels 参数透传到 ffmpeg（产物头体现）。"""
+ # 数据：显式请求 8kHz 单声道。
+ if _available_ffmpeg() is None:
+ pytest.skip("环境中没有可用 ffmpeg")
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEST_VIDEO, sample_rate=8000, channels=1))
+
+ # 验证结果
+ assert response.status == "completed", response.error
+ with wave.open(response.outputs["audio_uri"], "rb") as wav:
+ assert wav.getframerate() == 8000
+
+
+def test_invoke_fails_without_video_uri(tmp_path: Path) -> None:
+ """缺少 video_uri 时返回 failed 并说明原因。"""
+ # 数据：不传输入。
+ # 测试过程
+ response = invoke(_request(tmp_path, None))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "video_uri" in (response.error or "")
+
+
+def test_invoke_fails_when_ffmpeg_missing(monkeypatch, tmp_path: Path) -> None:
+ """环境无 ffmpeg 时明确失败，不抛晦涩的子进程异常。"""
+ # 数据：把所有 ffmpeg 来源都屏蔽。
+ monkeypatch.setenv("FFMPEG_BIN", "definitely-not-a-real-binary")
+ monkeypatch.setattr(shutil, "which", lambda name: None)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEST_VIDEO))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "ffmpeg" in (response.error or "")
+
+
+def test_invoke_fails_when_ffmpeg_returns_error(tmp_path: Path) -> None:
+ """输入文件不是合法媒体时 ffmpeg 报错 → 节点返回 failed（不静默成功）。"""
+ # 数据：把文本文件伪装成视频。
+ broken = tmp_path / "broken.mp4"
+ broken.write_text("not a video", encoding="utf-8")
+ if _available_ffmpeg() is None:
+ pytest.skip("环境中没有可用 ffmpeg")
+
+ # 测试过程
+ response = invoke(_request(tmp_path, broken))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert (response.error or "").strip()
+
+
+def test_invoke_fails_when_video_has_no_audio_stream(tmp_path: Path) -> None:
+ """源视频不含音频流时提音失败并返回 ffmpeg 诊断信息（不静默产出空文件）。"""
+ # 数据：只有视频轨的测试素材。
+ if _available_ffmpeg() is None:
+ pytest.skip("环境中没有可用 ffmpeg")
+ assert VIDEO_WITHOUT_AUDIO.is_file()
+
+ # 测试过程
+ response = invoke(_request(tmp_path, VIDEO_WITHOUT_AUDIO))
+
+ # 验证结果：失败且无残缺产物。
+ assert response.status == "failed"
+ assert not (tmp_path / "out" / "audio.wav").exists()
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diff --git a/tests/nodes/test_frame_extract/test_extract.py b/tests/nodes/test_frame_extract/test_extract.py
new file mode 100644
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--- /dev/null
+++ b/tests/nodes/test_frame_extract/test_extract.py
@@ -0,0 +1,222 @@
+"""nodes/frame_extract.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/frame_extract.py`（按帧间隔抽帧 + crop 裁切 + 帧清单），
+可独立调用。抽帧用例使用模块 `data/` 下的真实视频调用真实 ffmpeg；
+帧号排序用例构造真实命名的帧文件（重现 14236 帧任务的错位场景）。
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from nodes.frame_extract import (
+ DEFAULT_CROP,
+ _frame_step,
+ _parse_crop,
+ _parse_progress_line,
+ _sorted_frame_files,
+ invoke,
+)
+from wov_sdk.models import InvokeRequest
+
+# 模块专用真实素材：10 秒测试视频（1280x720, 25fps）。
+DATA_DIR = Path(__file__).resolve().parent / "data"
+TEST_VIDEO = DATA_DIR / "subtitle_10s.mp4"
+
+
+def _request(tmp_path: Path, video: Path | None, **params) -> InvokeRequest:
+ """构造真实请求；video 为 None 时表示不传 video_uri。"""
+ inputs = {} if video is None else {"video_uri": str(video)}
+ return InvokeRequest(
+ run_id="run-test",
+ node_instance_id="frame-extract-1",
+ params=params,
+ inputs=inputs,
+ output_dir=str(tmp_path / "out"),
+ )
+
+
+# ---------------------------------------------------------------------------
+# 参数解析与换算（纯函数）
+# ---------------------------------------------------------------------------
+
+
+def test_default_crop_is_bottom_quarter() -> None:
+ """默认裁切区域为画面底部 1/4（字幕很少出现在上半部分）。"""
+ # 数据：模块默认常量。
+ # 测试过程与验证结果
+ assert DEFAULT_CROP == [0, 0.75, 1, 0.25]
+
+
+def test_parse_crop_accepts_sequence_and_tuple() -> None:
+ """crop 接受四元素序列（列表/元组），返回浮点比例列表。"""
+ # 数据：列表形式与元组形式。
+ # 测试过程与验证结果
+ assert _parse_crop([0.1, 0.2, 0.3, 0.4]) == [0.1, 0.2, 0.3, 0.4]
+ assert _parse_crop((0, 0.75, 1, 0.25)) == [0.0, 0.75, 1.0, 0.25]
+
+
+def test_parse_crop_rejects_invalid_input() -> None:
+ """非法 crop（长度不对/非数值/越界）返回 None，由调用处报错。"""
+ # 数据：五类非法输入（含 JSON 字符串——解析由调用方负责，节点只收序列）。
+ # 测试过程与验证结果
+ assert _parse_crop("not json") is None
+ assert _parse_crop("[0.1, 0.2, 0.3, 0.4]") is None
+ assert _parse_crop([0.1, 0.2]) is None
+ assert _parse_crop([0.1, 0.2, "x", 0.4]) is None
+ assert _parse_crop([0.1, 0.2, 1.5, 0.4]) is None
+
+
+def test_frame_step_rounds_interval_times_fps() -> None:
+ """帧间隔换算：step = round(间隔秒 × fps)，至少为 1。"""
+ # 数据：25fps 下 0.5s → 12.5 → 12；极短间隔至少 1。
+ # 测试过程与验证结果
+ assert _frame_step(25.0, 0.5) == 12
+ assert _frame_step(25.0, 0.04) == 1
+ assert _frame_step(30.0, 1.0) == 30
+
+
+def test_parse_progress_line_extracts_frame_number() -> None:
+ """ffmpeg -progress 的 frame=N 行被解析为整数，其他行忽略。"""
+ # 数据：真实的 -progress 输出行。
+ # 测试过程与验证结果
+ assert _parse_progress_line("frame=123") == 123
+ assert _parse_progress_line("fps=25.0") is None
+ assert _parse_progress_line("frame=abc") is None
+
+
+# ---------------------------------------------------------------------------
+# 帧号自然排序（14236 帧事故回归）
+# ---------------------------------------------------------------------------
+
+
+def test_frame_files_sorted_numerically_not_lexicographically(tmp_path: Path) -> None:
+ """帧文件按帧号数值排序：4 位与 5 位编号混排时不会回退（真实事故回归）。
+
+ 背景：ffmpeg 的 %04d 在超过 9999 帧后扩为 5 位，字典序会把
+ frame_10000 排到 frame_9999 之前，导致时间轴与图像错位
+ （run_339ec7ee437f 的 14236 帧任务实测）。
+ """
+ # 数据：构造跨越 9999 边界的真实帧文件名。
+ frames_dir = tmp_path / "frames"
+ frames_dir.mkdir()
+ for number in (1, 9999, 10000, 10009, 1009, 14236):
+ (frames_dir / f"frame_{number:04d}.png").write_bytes(b"png")
+
+ # 测试过程
+ ordered = [int(p.stem.split("_")[1]) for p in _sorted_frame_files(frames_dir)]
+
+ # 验证结果：严格按数值升序（含 1009 < 9999 < 10000 < 10009）。
+ assert ordered == [1, 1009, 9999, 10000, 10009, 14236]
+
+
+def test_frame_files_sorted_returns_empty_for_empty_dir(tmp_path: Path) -> None:
+ """空目录返回空列表。"""
+ # 数据：空目录。
+ frames_dir = tmp_path / "frames"
+ frames_dir.mkdir()
+
+ # 测试过程与验证结果
+ assert _sorted_frame_files(frames_dir) == []
+
+
+# ---------------------------------------------------------------------------
+# invoke：真实抽帧
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_extracts_frames_with_manifest(tmp_path: Path) -> None:
+ """真实视频按间隔抽帧：产出帧图与清单，清单时间轴与帧数一致。"""
+ # 数据：10 秒 25fps 视频，间隔 2 秒（step=50）。
+ assert TEST_VIDEO.is_file(), f"缺少测试视频 {TEST_VIDEO}"
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEST_VIDEO, interval_seconds=2.0))
+
+ # 验证结果：产物清单存在，帧数与 10s/2s=5 一致，时间轴递增。
+ assert response.status == "completed", response.error
+ manifest_path = Path(response.outputs["frames_manifest"])
+ manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
+ frames = manifest["frames"] if isinstance(manifest, dict) else manifest
+ assert len(frames) >= 4
+ times = [f["time"] for f in frames]
+ assert times == sorted(times)
+ assert response.outputs["frame_count"] == len(frames)
+
+
+def _png_size(path: Path) -> tuple[int, int]:
+ """从 PNG 文件头读取宽高（避免为测试引入图像库依赖）。
+
+ PNG 结构：8 字节签名 + 4 字节长度 + "IHDR" + 宽(4) + 高(4)，均为大端。
+ """
+ data = path.read_bytes()[:24]
+ assert data[:8] == b"\x89PNG\r\n\x1a\n", "不是合法 PNG"
+ assert data[12:16] == b"IHDR"
+ return int.from_bytes(data[16:20], "big"), int.from_bytes(data[20:24], "big")
+
+
+def test_invoke_crops_to_bottom_region(tmp_path: Path) -> None:
+ """默认裁切底部 1/4：帧图高度明显小于原视频（1280x720 → 约 320 高）。"""
+ # 数据：真实视频 + 默认 crop。
+ if not TEST_VIDEO.is_file():
+ pytest.skip(f"缺少测试视频 {TEST_VIDEO}")
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEST_VIDEO, interval_seconds=5.0))
+
+ # 验证结果：帧图高度约 720*0.25=180（720p 内压缩后可能更小），宽度保持宽扁形。
+ assert response.status == "completed", response.error
+ frames = sorted((tmp_path / "out" / "frames").glob("frame_*.png"))
+ assert frames
+ width, height = _png_size(frames[0])
+ assert height <= 320
+ assert width > height # 底部字幕条，仍是宽扁形
+
+
+def test_invoke_respects_custom_crop(tmp_path: Path) -> None:
+ """自定义 crop 生效：裁切区域变化体现在帧图尺寸上。"""
+ # 数据：取画面上半部分 1/4 高。
+ if not TEST_VIDEO.is_file():
+ pytest.skip(f"缺少测试视频 {TEST_VIDEO}")
+
+ # 测试过程
+ response = invoke(_request(
+ tmp_path, TEST_VIDEO, interval_seconds=5.0, crop=[0, 0, 1, 0.25],
+ ))
+
+ # 验证结果：成功产出帧图。
+ assert response.status == "completed", response.error
+ assert list((tmp_path / "out" / "frames").glob("frame_*.png"))
+
+
+def test_invoke_fails_without_video_uri(tmp_path: Path) -> None:
+ """缺少 video_uri 时失败。"""
+ # 数据：空输入。
+ # 测试过程
+ response = invoke(_request(tmp_path, None))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "video_uri" in (response.error or "")
+
+
+def test_invoke_fails_when_video_missing(tmp_path: Path) -> None:
+ """视频文件不存在时失败。"""
+ # 数据：不存在的路径。
+ # 测试过程
+ response = invoke(_request(tmp_path, tmp_path / "nope.mp4"))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "not found" in (response.error or "")
+
+
+def test_invoke_rejects_invalid_interval_and_crop(tmp_path: Path) -> None:
+ """非法 interval / crop 参数被拒绝，不产出残缺帧序列。"""
+ # 数据：零间隔与非法 crop。
+ # 测试过程与验证结果
+ assert invoke(_request(tmp_path, TEST_VIDEO, interval_seconds=0)).status == "failed"
+ assert invoke(_request(tmp_path, TEST_VIDEO, crop="bad")).status == "failed"
diff --git a/tests/nodes/test_llm/__init__.py b/tests/nodes/test_llm/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_llm/test_translate.py b/tests/nodes/test_llm/test_translate.py
new file mode 100644
index 0000000..b0efe64
--- /dev/null
+++ b/tests/nodes/test_llm/test_translate.py
@@ -0,0 +1,473 @@
+"""nodes/llm.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/llm.py`（LLM 翻译节点：分批请求 + 按 ID 回填），可独立调用。
+网络属于允许 mock 的 I/O 边界：单元用例注入假 HTTP 响应验证请求体、ID 校验、
+重试与回填；集成用例调用真实 LLM 验证真实字幕翻译质量。
+"""
+
+from __future__ import annotations
+
+import json
+import urllib.error
+import urllib.request
+from pathlib import Path
+
+import pytest
+
+from nodes.llm import (
+ CHUNK_SIZE,
+ MAX_BATCH_RETRIES,
+ _parse_translations,
+ _system_prompt,
+ invoke,
+ translate_lines,
+)
+from wov_sdk.models import InvokeRequest
+
+# 模块专用数据目录（真实字幕产物缺失时相关用例跳过）。
+DATA_DIR = Path(__file__).resolve().parent / "data"
+
+
+class _FakeHTTPResponse:
+ """假的 HTTP 响应：返回预置 JSON 体（供 urlopen mock 使用）。"""
+
+ def __init__(self, payload: dict) -> None:
+ self._data = json.dumps(payload, ensure_ascii=False).encode("utf-8")
+
+ def read(self) -> bytes:
+ return self._data
+
+ def __enter__(self):
+ return self
+
+ def __exit__(self, *exc) -> None:
+ return None
+
+
+def _llm_reply(translations: list[tuple[int, str]], total_tokens: int = 42) -> _FakeHTTPResponse:
+ """构造 OpenAI 兼容接口的响应体（content 为 {id,text} JSON 数组）。"""
+ content = json.dumps(
+ [{"id": i, "text": t} for i, t in translations], ensure_ascii=False
+ )
+ return _FakeHTTPResponse({
+ "choices": [{"message": {"content": content}}],
+ "usage": {"total_tokens": total_tokens},
+ })
+
+
+def _capture_urlopen(calls: list[dict], responses: list[_FakeHTTPResponse]):
+ """返回一个假 urlopen：记录请求体，按顺序返回预置响应。"""
+
+ def fake_urlopen(http_request, timeout=None):
+ calls.append({
+ "url": http_request.full_url,
+ "body": json.loads(http_request.data.decode("utf-8")),
+ "headers": dict(http_request.headers),
+ "timeout": timeout,
+ })
+ return responses.pop(0) if responses else _llm_reply([])
+
+ return fake_urlopen
+
+
+# ---------------------------------------------------------------------------
+# 提示词与响应解析（纯函数）
+# ---------------------------------------------------------------------------
+
+
+def test_system_prompt_mentions_target_language_and_json_contract() -> None:
+ """系统提示词说明目标语言与 JSON 条目契约（时间戳不进入模型）。"""
+ # 数据：目标语言 zh-CN。
+ # 测试过程
+ prompt = _system_prompt("zh-CN")
+
+ # 验证结果
+ assert "zh-CN" in prompt
+ assert "id" in prompt and "text" in prompt
+
+
+def test_parse_translations_accepts_out_of_order_ids() -> None:
+ """乱序返回的条目按 ID 回填（不依赖数组顺序）。"""
+ # 数据：ID 为 3、1、2 的乱序结果。
+ content = json.dumps([
+ {"id": 3, "text": "三"},
+ {"id": 1, "text": "一"},
+ {"id": 2, "text": "二"},
+ ])
+
+ # 测试过程
+ parsed = _parse_translations(content, {1, 2, 3})
+
+ # 验证结果
+ assert parsed == {1: "一", 2: "二", 3: "三"}
+
+
+def test_parse_translations_rejects_missing_id() -> None:
+ """缺少任一 ID 时明确报错（不允许静默漏译导致时间轴错位）。"""
+ # 数据：缺少 ID 2。
+ content = json.dumps([{"id": 1, "text": "一"}, {"id": 3, "text": "三"}])
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="missing"):
+ _parse_translations(content, {1, 2, 3})
+
+
+def test_parse_translations_rejects_duplicate_id() -> None:
+ """重复 ID 报错。"""
+ # 数据：ID 1 出现两次。
+ content = json.dumps([{"id": 1, "text": "一"}, {"id": 1, "text": "壹"}])
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="duplicate"):
+ _parse_translations(content, {1})
+
+
+def test_parse_translations_rejects_empty_text() -> None:
+ """空正文或非字符串正文报错。"""
+ # 数据：空字符串与数字正文。
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="empty or invalid"):
+ _parse_translations(json.dumps([{"id": 1, "text": " "}]), {1})
+ with pytest.raises(ValueError, match="empty or invalid"):
+ _parse_translations(json.dumps([{"id": 1, "text": 3}]), {1})
+
+
+def test_parse_translations_rejects_unexpected_id() -> None:
+ """返回了未请求的 ID 时报错。"""
+ # 数据：包含 ID 9（未请求）。
+ content = json.dumps([{"id": 9, "text": "九"}])
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="invalid or duplicate"):
+ _parse_translations(content, {1})
+
+
+def test_parse_translations_rejects_non_array_payload() -> None:
+ """顶层不是数组时报错。"""
+ # 数据：对象形式的返回。
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="JSON array"):
+ _parse_translations(json.dumps({"id": 1, "text": "一"}), {1})
+
+
+def test_parse_translations_keeps_multiline_text_structure() -> None:
+ """译文多行结构保留（去除纯空行，不截断 cue）。"""
+ # 数据：含空行的多行译文。
+ content = json.dumps([{"id": 1, "text": "第一行\n\n第二行"}])
+
+ # 测试过程
+ parsed = _parse_translations(content, {1})
+
+ # 验证结果：空行被去掉但两行都保留。
+ assert parsed[1] == "第一行\n第二行"
+
+
+# ---------------------------------------------------------------------------
+# translate_lines：请求体、ID 与重试
+# ---------------------------------------------------------------------------
+
+
+def test_translate_lines_sends_global_ids_and_maps_back(monkeypatch) -> None:
+ """按全局位置 ID 请求翻译，并把结果按位置回填（空 cue 不请求但占位）。"""
+ # 数据：5 行，其中第 3 行为空（占位）。
+ lines = ["一", "二", "", "四", "五"]
+ calls: list[dict] = []
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ _capture_urlopen(calls, [_llm_reply([(1, "one"), (2, "two"), (4, "four"), (5, "five")])]),
+ )
+
+ # 测试过程
+ result = translate_lines(lines, {"target_language": "en"})
+
+ # 验证结果：请求体只含非空行的全局 ID（1,2,4,5），结果按位置回填且空行保留。
+ sent = json.loads(calls[0]["body"]["messages"][1]["content"])
+ assert [item["id"] for item in sent] == [1, 2, 4, 5]
+ assert result == ["one", "two", "", "four", "five"]
+
+
+def test_translate_lines_retries_on_structure_error(monkeypatch) -> None:
+ """结构校验失败时重试，最终成功（最多 MAX_BATCH_RETRIES 次）。"""
+ # 数据：第一次返回缺 ID，第二次正确。
+ lines = ["一", "二"]
+ calls: list[dict] = []
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ _capture_urlopen(calls, [
+ _llm_reply([(1, "one")]), # 缺 ID 2 → 触发重试
+ _llm_reply([(1, "one"), (2, "two")]), # 正确
+ ]),
+ )
+
+ # 测试过程
+ result = translate_lines(lines, {})
+
+ # 验证结果：重试一次后成功，共发起 2 次请求。
+ assert result == ["one", "two"]
+ assert len(calls) == 2
+
+
+def test_translate_lines_raises_after_retries_exhausted(monkeypatch) -> None:
+ """结构错误耗尽重试后抛错（不返回错位译文）。"""
+ # 数据：每次都返回错误结构。
+ calls: list[dict] = []
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ _capture_urlopen(calls, [_llm_reply([]) for _ in range(MAX_BATCH_RETRIES)]),
+ )
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="alignment failed"):
+ translate_lines(["一"], {})
+ assert len(calls) == MAX_BATCH_RETRIES
+
+
+def test_translate_lines_empty_input_makes_no_request(monkeypatch) -> None:
+ """空输入直接返回空列表，不发请求。"""
+ # 数据：空列表。
+ calls: list[dict] = []
+ monkeypatch.setattr(urllib.request, "urlopen", _capture_urlopen(calls, []))
+
+ # 测试过程与验证结果
+ assert translate_lines([], {}) == []
+ assert calls == []
+
+
+def test_translate_lines_all_empty_cues_make_no_request(monkeypatch) -> None:
+ """全部为空 cue 时不请求模型，返回等长空列表。"""
+ # 数据：3 个空行。
+ calls: list[dict] = []
+ monkeypatch.setattr(urllib.request, "urlopen", _capture_urlopen(calls, []))
+
+ # 测试过程与验证结果
+ assert translate_lines(["", " ", ""], {}) == ["", "", ""]
+ assert calls == []
+
+
+def test_translate_lines_batches_by_chunk_size(monkeypatch) -> None:
+ """超过 CHUNK_SIZE 行时分批请求（每批最多 CHUNK_SIZE 条）。"""
+ # 数据：CHUNK_SIZE + 1 行。
+ total = CHUNK_SIZE + 1
+ lines = [f"行{i}" for i in range(1, total + 1)]
+ calls: list[dict] = []
+
+ def fake_urlopen(http_request, timeout=None):
+ body = json.loads(http_request.data.decode("utf-8"))
+ calls.append(body)
+ items = json.loads(body["messages"][1]["content"])
+ return _llm_reply([(item["id"], f"t{item['id']}") for item in items])
+
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(urllib.request, "urlopen", fake_urlopen)
+
+ # 测试过程
+ result = translate_lines(lines, {})
+
+ # 验证结果：两批（CHUNK_SIZE + 1），结果等长且顺序正确。
+ assert len(calls) == 2
+ assert len(result) == total
+ assert result[0] == "t1" and result[-1] == f"t{total}"
+
+
+def test_translate_lines_injects_proper_noun_rule(monkeypatch) -> None:
+ """本批原文命中专名时，系统提示词追加规则（不被硬译）。"""
+ # 数据：含专名 ジンゴ 的一行。
+ calls: list[dict] = []
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ _capture_urlopen(calls, [_llm_reply([(1, "译文")])]),
+ )
+
+ # 测试过程
+ translate_lines(["ジンゴがここで味わいませんか"], {})
+
+ # 验证结果：系统提示词包含该专名与禁止硬译的说明。
+ system_prompt = calls[0]["body"]["messages"][0]["content"]
+ assert "ジンゴ" in system_prompt
+ assert "芒果" in system_prompt
+
+
+def test_translate_lines_default_model_and_env_override(monkeypatch) -> None:
+ """默认模型来自 LLM_MODEL 环境变量（数据驱动，不改代码切换模型）。"""
+ # 数据：设置环境变量为自定义模型。
+ calls: list[dict] = []
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setenv("LLM_MODEL", "自定义/模型")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ _capture_urlopen(calls, [_llm_reply([(1, "x")])]),
+ )
+
+ # 测试过程
+ translate_lines(["一"], {})
+
+ # 验证结果：请求体使用环境变量指定的模型。
+ assert calls[0]["body"]["model"] == "自定义/模型"
+
+
+def test_translate_lines_param_model_wins_over_env(monkeypatch) -> None:
+ """节点参数 model 优先于环境变量。"""
+ # 数据：环境变量与参数都设置。
+ calls: list[dict] = []
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setenv("LLM_MODEL", "env/模型")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ _capture_urlopen(calls, [_llm_reply([(1, "x")])]),
+ )
+
+ # 测试过程
+ translate_lines(["一"], {"model": "param/模型"})
+
+ # 验证结果
+ assert calls[0]["body"]["model"] == "param/模型"
+
+
+def test_translate_lines_uses_timeout_env(monkeypatch) -> None:
+ """LLM_TIMEOUT_SECONDS 决定请求超时（默认 600）。"""
+ # 数据：设置 45 秒。
+ calls: list[dict] = []
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setenv("LLM_TIMEOUT_SECONDS", "45")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ _capture_urlopen(calls, [_llm_reply([(1, "x")])]),
+ )
+
+ # 测试过程
+ translate_lines(["一"], {})
+
+ # 验证结果
+ assert calls[0]["timeout"] == 45.0
+
+
+def test_translate_lines_sends_bearer_key(monkeypatch) -> None:
+ """请求头带 Bearer Key（来自 LLM_API_KEY）。"""
+ # 数据：设置 key。
+ calls: list[dict] = []
+ monkeypatch.setenv("LLM_API_KEY", "sk-abc")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ _capture_urlopen(calls, [_llm_reply([(1, "x")])]),
+ )
+
+ # 测试过程
+ translate_lines(["一"], {})
+
+ # 验证结果
+ headers = {k.lower(): v for k, v in calls[0]["headers"].items()}
+ assert headers.get("authorization") == "Bearer sk-abc"
+
+
+# ---------------------------------------------------------------------------
+# invoke 全流程
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_translates_srt_and_writes_artifact(monkeypatch, tmp_path: Path) -> None:
+ """invoke 解析 SRT → 翻译 → 写出 cn_srt，时间轴保持原样。"""
+ # 数据：两条真实 SRT。
+ srt = "1\n00:00:01,000 --> 00:00:02,000\nこんにちは\n\n2\n00:00:03,000 --> 00:00:04,000\nさようなら\n"
+ srt_path = tmp_path / "in.srt"
+ srt_path.write_text(srt, encoding="utf-8")
+ calls: list[dict] = []
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ _capture_urlopen(calls, [_llm_reply([(1, "你好"), (2, "再见")])]),
+ )
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={},
+ inputs={"srt_uri": str(srt_path)}, output_dir=str(tmp_path / "out"),
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果：状态、产物时间轴与译文顺序。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["cn_srt_uri"]).read_text(encoding="utf-8")
+ assert "00:00:01,000 --> 00:00:02,000" in content
+ assert "你好" in content and "再见" in content
+ assert content.index("你好") < content.index("再见")
+
+
+def test_invoke_fails_without_input(tmp_path: Path) -> None:
+ """缺少 srt_uri 时失败。"""
+ # 数据：空输入。
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={}, inputs={}, output_dir=str(tmp_path)
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "srt_uri" in (response.error or "")
+
+
+def test_invoke_fails_when_input_missing(tmp_path: Path) -> None:
+ """输入文件不存在时失败。"""
+ # 数据：不存在的路径。
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={},
+ inputs={"srt_uri": str(tmp_path / "nope.srt")}, output_dir=str(tmp_path),
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "not found" in (response.error or "")
+
+
+def test_invoke_reports_failure_on_llm_error(monkeypatch, tmp_path: Path) -> None:
+ """LLM 报错时节点返回 failed（不产出半成品产物）。"""
+ # 数据：urlopen 抛 HTTPError。
+ srt_path = tmp_path / "in.srt"
+ srt_path.write_text("1\n00:00:01,000 --> 00:00:02,000\nこんにちは\n", encoding="utf-8")
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+
+ def fake_urlopen(http_request, timeout=None):
+ raise urllib.error.HTTPError(http_request.full_url, 500, "server error", {}, None)
+
+ monkeypatch.setattr(urllib.request, "urlopen", fake_urlopen)
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={},
+ inputs={"srt_uri": str(srt_path)}, output_dir=str(tmp_path / "out"),
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+
+
+# ---------------------------------------------------------------------------
+# 真实 LLM 集成（需要 LLM_API_KEY 与网络）
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.integration
+def test_real_llm_translates_short_lines_with_domain_rules() -> None:
+ """真实 LLM 校准：短句专名/隐语不按字面直译（真实 API，外部状态缺失则跳过）。"""
+ # 数据：含专名 ジンゴ 的短句；Key 与账号可用性由共享判定处理。
+ from nodes.llm import translate_lines as real_translate
+ from tests.shared.llm_service import require_llm_credentials, skip_on_service_unavailable
+
+ require_llm_credentials()
+
+ # 测试过程
+ with skip_on_service_unavailable():
+ out = real_translate(["ジンゴがここで味わいませんか"], {"target_language": "zh-CN"})
+
+ # 验证结果：有译文且未把专名硬译成"芒果"。
+ assert out and out[0].strip()
+ assert "芒果" not in out[0]
diff --git a/tests/nodes/test_llm_filter/__init__.py b/tests/nodes/test_llm_filter/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_llm_filter/data/ocr_srt_run_ac7f480a3ccb.srt b/tests/nodes/test_llm_filter/data/ocr_srt_run_ac7f480a3ccb.srt
new file mode 100644
index 0000000..94ee9df
--- /dev/null
+++ b/tests/nodes/test_llm_filter/data/ocr_srt_run_ac7f480a3ccb.srt
@@ -0,0 +1,6663 @@
+1
+00:00:00,000 --> 00:00:05,580
+（淫魔病院）（新人护士的眼泪）
+
+2
+00:00:17,760 --> 00:00:21,820
+辛苦了 上午的检查已经OK了
+
+3
+00:00:21,820 --> 00:00:22,327
+---
+
+4
+00:00:31,969 --> 00:00:33,998
+谢谢你 松井小姐
+
+5
+00:00:33,999 --> 00:00:37,550
+还有没有什么困扰 或者奇怪的地方吗
+
+6
+00:00:38,058 --> 00:00:39,580
+没问题啦
+
+7
+00:00:39,581 --> 00:00:43,132
+总感觉果林前辈 每次都会问这个呢
+
+8
+00:00:43,133 --> 00:00:46,177
+是呢 抱歉
+
+9
+00:00:46,177 --> 00:00:49,221
+V
+
+10
+00:00:49,222 --> 00:00:51,759
+那么 松井小姐
+
+11
+00:00:51,759 --> 00:00:52,774
+V
+
+12
+00:00:52,774 --> 00:00:55,818
+你来我们医院也才一个月吧
+
+13
+00:00:56,326 --> 00:00:57,341
+记得挺快嘛 没有啦
+
+14
+00:00:57,341 --> 00:00:57,848
+记得挺快嘛没有啦
+
+15
+00:00:57,848 --> 00:00:59,370
+记得挺快嘛 没有啦
+
+16
+00:01:00,893 --> 00:01:04,445
+因为果林前辈教得好呀
+
+17
+00:01:04,444 --> 00:01:08,504
+因为 你和患者们 也已经完全打成一片了
+
+18
+00:01:08,505 --> 00:01:09,012
+医
+
+19
+00:01:09,012 --> 00:01:11,549
+我是北冈果林
+
+20
+00:01:11,549 --> 00:01:16,116
+在这家综合医院工作的护士
+
+21
+00:01:16,624 --> 00:01:19,161
+她叫松井日奈子
+
+22
+00:01:19,161 --> 00:01:24,235
+是一个月前开始 在这间医院工作的新人护士
+
+23
+00:01:25,250 --> 00:01:28,295
+上吧 上吧
+
+24
+00:01:28,802 --> 00:01:33,876
+不行 受不了 好了 上吧
+
+25
+00:01:33,877 --> 00:01:35,399
+Cleaning
+
+26
+00:01:35,399 --> 00:01:35,906
+清洁
+
+27
+00:01:37,429 --> 00:01:39,966
+状态不错
+
+28
+00:01:39,966 --> 00:01:42,503
+请进
+
+29
+00:01:43,011 --> 00:01:43,518
+---
+
+30
+00:01:46,563 --> 00:01:47,070
+HTML
+
+31
+00:01:47,070 --> 00:01:49,607
+早安
+
+32
+00:01:50,622 --> 00:01:52,144
+金山先生
+
+33
+00:01:52,145 --> 00:01:57,219
+昨晚你住院时我不在没能照顾到你非常抱歉
+
+34
+00:01:57,219 --> 00:02:04,323
+我是医务室长权藤 请多关照
+
+35
+00:02:04,323 --> 00:02:09,396
+这边这位是负责你的叶山
+
+36
+00:02:09,398 --> 00:02:12,442
+我是外科主任叶山
+
+37
+00:02:14,472 --> 00:02:19,039
+如果有什么困难 请找她帮忙
+
+38
+00:02:19,039 --> 00:02:25,128
+另外 关于你希望的特别服务 我们正在准备当中
+
+39
+00:02:26,143 --> 00:02:31,217
+拜托你们尽快 明白了
+
+40
+00:02:34,263 --> 00:02:37,814
+我没见过你呢
+
+41
+00:02:38,322 --> 00:02:40,859
+我是新来的生产员
+
+42
+00:02:40,859 --> 00:02:44,411
+我姓泷本 请多多指教
+
+43
+00:02:44,411 --> 00:02:46,441
+就这样
+
+44
+00:02:46,441 --> 00:02:49,485
+泷本先生 我有件事想拜托你
+
+45
+00:02:49,486 --> 00:02:49,993
+沈本先生 我有件事想拜托你
+
+46
+00:02:49,993 --> 00:02:50,500
+泷本先生 我有件事想拜托你
+
+47
+00:02:51,516 --> 00:02:56,590
+今天傍晚 能来手术室一趟吗
+
+48
+00:02:57,605 --> 00:03:01,664
+明白了 那就这样
+
+49
+00:03:04,709 --> 00:03:05,216
+___
+
+50
+00:03:18,410 --> 00:03:20,439
+---------------
+
+51
+00:03:28,051 --> 00:03:29,573
+北冈小姐
+
+52
+00:03:29,574 --> 00:03:33,633
+这是特别病房患者的病历表
+
+53
+00:03:34,141 --> 00:03:35,155
+金山先生有向我们医院捐过一笔巨款
+
+54
+00:03:35,156 --> 00:03:36,678
+金山先生有向我们医院 捐过一笔巨款
+
+55
+00:03:36,678 --> 00:03:38,707
+金山先生有向我们医院捐过一笔巨款
+
+56
+00:03:38,708 --> 00:03:42,767
+非常多的金额 你们别疏忽了
+
+57
+00:03:42,767 --> 00:03:43,274
+是明白了
+
+58
+00:03:43,275 --> 00:03:43,782
+是 明白了
+
+59
+00:03:43,782 --> 00:03:45,304
+是明白了
+
+60
+00:03:49,364 --> 00:03:51,393
+松井小姐 在
+
+61
+00:03:51,394 --> 00:03:52,916
+你来这边还没多久吧 是的
+
+62
+00:03:52,916 --> 00:03:53,423
+你来这边还没多久吧是的
+
+63
+00:03:53,424 --> 00:03:56,975
+你来这边还没多久吧 是的
+
+64
+00:03:57,991 --> 00:04:02,050
+我想指导你新的工作内容
+
+65
+00:04:02,050 --> 00:04:04,079
+不是护理
+
+66
+00:04:04,080 --> 00:04:05,602
+而是我主导的属于我的特殊业务
+
+67
+00:04:05,602 --> 00:04:06,617
+而是我主导的 属于我的特殊业务
+
+68
+00:04:06,617 --> 00:04:07,124
+而是我主导的属于我的特殊业务
+
+69
+00:04:07,124 --> 00:04:08,139
+而是我主导的 属于我的特殊业务
+
+70
+00:04:08,139 --> 00:04:08,646
+而是我主导的属于我的特殊业务
+
+71
+00:04:08,647 --> 00:04:09,661
+而是我主导的 属于我的特殊业务
+
+72
+00:04:09,662 --> 00:04:12,706
+下次夜班是什么时候呢
+
+73
+00:04:13,214 --> 00:04:16,257
+是的 明天就是了
+
+74
+00:04:16,257 --> 00:04:16,765
+图
+
+75
+00:04:16,766 --> 00:04:19,810
+那么明天晚上十点
+
+76
+00:04:19,810 --> 00:04:24,885
+你能来空病房209号室吗
+
+77
+00:04:24,885 --> 00:04:27,422
+我明白了
+
+78
+00:04:27,930 --> 00:04:28,437
+留言
+
+79
+00:04:28,437 --> 00:04:30,466
+北冈小姐
+
+80
+00:04:30,467 --> 00:04:36,556
+你也作为她的指导员 一起参加吧
+
+81
+00:04:36,556 --> 00:04:37,063
+维森 健康
+
+82
+00:04:37,064 --> 00:04:37,571
+歹史融合刑務
+
+83
+00:04:37,571 --> 00:04:40,108
+我知道了
+
+84
+00:04:40,108 --> 00:04:40,615
+天文教研小组
+
+85
+00:04:40,616 --> 00:04:41,123
+爱尔联合机构
+
+86
+00:04:42,645 --> 00:04:43,152
+___
+
+87
+00:04:43,153 --> 00:04:48,227
+---
+
+88
+00:04:48,735 --> 00:04:52,794
+HTML
+
+89
+00:04:53,302 --> 00:04:53,809
+--- ---
+
+90
+00:04:53,809 --> 00:04:54,316
+------
+
+91
+00:04:54,824 --> 00:04:57,361
+那个
+
+92
+00:04:57,361 --> 00:05:04,972
+桐谷先生还在头痛 需要医生开药
+
+93
+00:05:04,973 --> 00:05:08,525
+让你久等了 北冈小姐
+
+94
+00:05:09,540 --> 00:05:10,554
+不会
+
+95
+00:05:10,555 --> 00:05:14,614
+能让权藤医生亲自指导我 这可是千载难逢的机会
+
+96
+00:05:14,614 --> 00:05:16,644
+完全不觉得麻烦
+
+97
+00:05:16,644 --> 00:05:19,688
+你说的指导是
+
+98
+00:05:26,793 --> 00:05:32,882
+请不要这样 不要
+
+99
+00:05:34,405 --> 00:05:36,941
+请住手
+
+100
+00:05:42,016 --> 00:05:45,568
+等一下 你在做什么
+
+101
+00:05:45,568 --> 00:05:51,150
+请住手 等一下 你干什么
+
+102
+00:05:51,150 --> 00:05:52,672
+---
+
+103
+00:05:55,210 --> 00:06:00,284
+好痛 北冈小姐
+
+104
+00:06:00,284 --> 00:06:05,866
+你对我做这种事
+
+105
+00:06:05,866 --> 00:06:11,955
+就不怕你妈妈出什么事吗
+
+106
+00:06:13,985 --> 00:06:19,059
+你妈妈住院的医院
+
+107
+00:06:19,060 --> 00:06:24,134
+就是这间医院的旗下医院
+
+108
+00:06:24,134 --> 00:06:30,223
+而且负责治疗你妈妈的医生
+
+109
+00:06:30,731 --> 00:06:36,312
+是我的手下
+
+110
+00:06:37,835 --> 00:06:42,401
+这是什么意思呢 你应该明白吧
+
+111
+00:06:44,939 --> 00:06:48,491
+聪明的你
+
+112
+00:06:48,491 --> 00:06:49,506
+应该已经察觉到 至今为止的一切了吧
+
+113
+00:06:49,506 --> 00:06:50,013
+应该已经察觉到至今为止的一切了吧
+
+114
+00:06:50,014 --> 00:06:54,073
+应该已经察觉到 至今为止的一切了吧
+
+115
+00:06:54,581 --> 00:07:00,669
+你妈妈的生命
+
+116
+00:07:01,177 --> 00:07:08,788
+等同于掌握在你的手中了
+
+117
+00:07:17,415 --> 00:07:19,445
+---
+
+118
+00:07:23,505 --> 00:07:26,042
+请住手
+
+119
+00:07:26,042 --> 00:07:29,086
+放心吧 放心吧
+
+120
+00:07:32,131 --> 00:07:39,235
+就当作是我的触诊吧
+
+121
+00:07:39,235 --> 00:07:41,772
+请住手
+
+122
+00:07:45,832 --> 00:07:46,339
+HTML
+
+123
+00:07:47,355 --> 00:07:50,399
+不要做这种事
+
+124
+00:07:50,907 --> 00:07:51,414
+------------------
+
+125
+00:07:53,951 --> 00:07:59,025
+---------------
+
+126
+00:07:59,533 --> 00:08:00,040
+------------------
+
+127
+00:08:01,055 --> 00:08:07,144
+医生 请住手 安静点
+
+128
+00:08:07,145 --> 00:08:09,174
+---
+
+129
+00:08:09,175 --> 00:08:13,741
+你想想妈妈的生命
+
+130
+00:08:13,742 --> 00:08:19,323
+你应该知道作为女儿 该做些什么才对的
+
+131
+00:08:19,323 --> 00:08:19,830
+---
+
+132
+00:08:22,876 --> 00:08:28,457
+真的原谅我吧 为什么权藤医生要做这种事呢
+
+133
+00:08:28,965 --> 00:08:31,502
+这也是没办法的事
+
+134
+00:08:31,502 --> 00:08:34,039
+在这家医院呢
+
+135
+00:08:34,039 --> 00:08:41,142
+为了吸引入住 单人病房的VIP患者
+
+136
+00:08:41,143 --> 00:08:44,694
+我们提供了一种特别服务
+
+137
+00:08:46,725 --> 00:08:50,784
+北冈小姐你
+
+138
+00:08:50,785 --> 00:08:56,366
+看起来很纯真嘛
+
+139
+00:08:56,367 --> 00:08:56,873
+不这么做的话 可没法胜任患者的对象
+
+140
+00:08:56,874 --> 00:08:57,381
+不这么做的话可没法胜任患者的对象
+
+141
+00:08:57,382 --> 00:08:58,902
+不这么做的话 可没法胜任患者的对象
+
+142
+00:08:58,904 --> 00:09:00,425
+不这么做的话可没法胜任患者的对象
+
+143
+00:09:00,426 --> 00:09:00,933
+不这么做的话 可没法胜任患者的对象
+
+144
+00:09:00,934 --> 00:09:01,948
+不这么做的话可没法胜任患者的对象
+
+145
+00:09:01,949 --> 00:09:03,978
+不这么做的话 可没法胜任患者的对象
+
+146
+00:09:03,978 --> 00:09:04,484
+不这么做的话可没法胜任患者的对象
+
+147
+00:09:07,023 --> 00:09:12,097
+请住手 这个跟照顾患者没关系
+
+148
+00:09:12,605 --> 00:09:13,112
+只会说漂亮话 在这个世上是行不通的
+
+149
+00:09:13,112 --> 00:09:13,618
+只会说漂亮话在这个世上是行不通的
+
+150
+00:09:13,620 --> 00:09:14,127
+只会说漂亮话 在这个世上是行不通的
+
+151
+00:09:14,127 --> 00:09:14,633
+只会说漂亮话在这个世上是行不通的
+
+152
+00:09:14,635 --> 00:09:15,141
+只会说漂亮话 在这个世上是行不通的
+
+153
+00:09:15,142 --> 00:09:15,649
+只会说漂亮话在这个世上是行不通的
+
+154
+00:09:15,650 --> 00:09:16,664
+只会说漂亮话 在这个世上是行不通的
+
+155
+00:09:16,664 --> 00:09:17,679
+只会说漂亮话在这个世上是行不通的
+
+156
+00:09:17,679 --> 00:09:18,185
+只会说漂亮话 在这个世上是行不通的
+
+157
+00:09:18,187 --> 00:09:19,200
+只会说漂亮话在这个世上是行不通的
+
+158
+00:09:19,202 --> 00:09:19,709
+只会说漂亮话 在这个世上是行不通的
+
+159
+00:09:19,709 --> 00:09:20,215
+---
+
+160
+00:09:22,246 --> 00:09:22,752
+2.0
+
+161
+00:09:23,769 --> 00:09:24,276
+JILLIAN MILLER
+
+162
+00:09:24,276 --> 00:09:24,782
+女厨 黑袜
+
+163
+00:09:24,783 --> 00:09:25,290
+北医三附院
+
+164
+00:09:25,291 --> 00:09:28,334
+身体放松一点吧
+
+165
+00:09:41,529 --> 00:09:49,647
+你要练习跟患者接吻
+
+166
+00:10:00,304 --> 00:10:08,930
+北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服
+
+167
+00:10:16,035 --> 00:10:18,064
+---
+
+168
+00:10:18,065 --> 00:10:21,108
+患者呀
+
+169
+00:10:21,617 --> 00:10:27,198
+并不是只有年轻英后的男性而已
+
+170
+00:10:27,199 --> 00:10:30,242
+有的远比我还要
+
+171
+00:10:30,244 --> 00:10:38,362
+偶尔也要接待 比自己年长的大叔
+
+172
+00:10:46,989 --> 00:10:50,032
+医生请住手
+
+173
+00:10:50,541 --> 00:10:53,584
+真是漂亮的后背
+
+174
+00:10:53,586 --> 00:10:54,093
+说不定会有喜欢后背的客人来呢
+
+175
+00:10:54,093 --> 00:10:55,614
+说不定会有 喜欢后背的客人来呢
+
+176
+00:10:55,616 --> 00:10:58,151
+说不定会有喜欢后背的客人来呢
+
+177
+00:10:58,153 --> 00:10:58,660
+说不定会有 喜欢后背的客人来呢
+
+178
+00:10:58,660 --> 00:10:59,166
+说不定会有喜欢后背的客人来呢
+
+179
+00:11:01,705 --> 00:11:05,257
+请住手 不要
+
+180
+00:11:09,317 --> 00:11:12,361
+来 把手拿开
+
+181
+00:11:12,361 --> 00:11:13,376
+你以为你的妈妈的生命 是谁掌握着呀
+
+182
+00:11:13,376 --> 00:11:14,391
+你以为你的妈妈的生命是谁掌握着呀
+
+183
+00:11:14,391 --> 00:11:14,897
+你以为你的妈妈的生命 是谁掌握着呀
+
+184
+00:11:14,899 --> 00:11:16,420
+你以为你的妈妈的生命是谁掌握着呀
+
+185
+00:11:16,421 --> 00:11:18,958
+你以为你的妈妈的生命 是谁掌握着呀
+
+186
+00:11:18,958 --> 00:11:19,464
+你以为你的妈妈的生命是谁掌握着呀
+
+187
+00:11:19,465 --> 00:11:20,479
+你以为你的妈妈的生命 是谁掌握着呀
+
+188
+00:11:23,525 --> 00:11:26,061
+---
+
+189
+00:11:27,585 --> 00:11:32,151
+不抵抗的话就马上结束了
+
+190
+00:11:32,152 --> 00:11:33,673
+只是如果反抗的话
+
+191
+00:11:33,674 --> 00:11:34,180
+只是 如果反抗的话
+
+192
+00:11:34,181 --> 00:11:36,210
+只是如果反抗的话
+
+193
+00:11:36,211 --> 00:11:40,777
+我多少也会变得粗暴起来
+
+194
+00:11:40,778 --> 00:11:41,792
+---
+
+195
+00:11:51,434 --> 00:11:51,940
+------------------
+
+196
+00:11:59,553 --> 00:12:00,060
+.
+
+197
+00:12:00,061 --> 00:12:04,120
+年轻又有弹性的屁股
+
+198
+00:12:04,120 --> 00:12:08,686
+臀大肌很发达
+
+199
+00:12:08,687 --> 00:12:10,209
+应该能生下健康的孩子
+
+200
+00:12:10,210 --> 00:12:10,717
+健康的孩子
+
+201
+00:12:10,717 --> 00:12:11,223
+应该熊孩子
+
+202
+00:12:11,225 --> 00:12:11,732
+应该熊生，健康的孩子
+
+203
+00:12:11,732 --> 00:12:12,238
+应该能生，健康的孩子
+
+204
+00:12:12,240 --> 00:12:12,747
+应该熊生，健康的孩子
+
+205
+00:12:12,747 --> 00:12:13,253
+应该能生下健康的孩子
+
+206
+00:12:13,254 --> 00:12:15,284
+请住手
+
+207
+00:12:15,284 --> 00:12:21,372
+作为护士是很棒的身材
+
+208
+00:12:23,403 --> 00:12:34,059
+---
+
+209
+00:12:47,760 --> 00:12:50,296
+身体不要用力了
+
+210
+00:12:50,298 --> 00:12:50,805
+B
+
+211
+00:13:01,461 --> 00:13:14,654
+---
+
+212
+00:13:14,655 --> 00:13:19,728
+即使吵闹 也不会有人来的
+
+213
+00:13:19,729 --> 00:13:24,803
+这里只有你我两人
+
+214
+00:13:24,804 --> 00:13:27,340
+把手拿开
+
+215
+00:13:27,848 --> 00:13:30,892
+接下来检查奶子的状况
+
+216
+00:13:30,893 --> 00:13:31,400
+女妾来坐奶子的状况
+
+217
+00:13:31,401 --> 00:13:31,907
+妾也来坐奶江的状况。
+
+218
+00:13:39,012 --> 00:13:42,564
+腹部没什么问题呢
+
+219
+00:13:43,072 --> 00:13:47,637
+没有皮肤科医生出场的机会了
+
+220
+00:13:50,683 --> 00:13:53,219
+我看看
+
+221
+00:13:53,221 --> 00:13:56,265
+这可是女性的重要部位 我要直接摸了
+
+222
+00:13:56,265 --> 00:14:00,324
+请住手 让我来帮你检查吧
+
+223
+00:14:04,892 --> 00:14:07,429
+把手拿开啦
+
+224
+00:14:08,444 --> 00:14:11,488
+别让我重复同样的话
+
+225
+00:14:11,996 --> 00:14:16,055
+妈妈得救不了也没关系吗
+
+226
+00:14:16,055 --> 00:14:18,592
+请住手
+
+227
+00:14:22,652 --> 00:14:27,218
+怎么 你嘴上说的倒是好听
+
+228
+00:14:28,234 --> 00:14:31,786
+乳头都这么硬了
+
+229
+00:14:32,801 --> 00:14:33,308
+四学综合硬
+
+230
+00:14:33,309 --> 00:14:33,815
+国家质监来说呢 有硬
+
+231
+00:14:33,816 --> 00:14:34,323
+国家质保来说呢 有缺失补交硬
+
+232
+00:14:34,323 --> 00:14:34,829
+医学发达来说呢 有快感的话就不硬
+
+233
+00:14:34,831 --> 00:14:40,411
+医学角度来说呢 有快感的话就会变硬
+
+234
+00:14:41,935 --> 00:14:53,098
+---
+
+235
+00:15:01,725 --> 00:15:05,276
+怎么了 忍着不发出声音吗
+
+236
+00:15:07,815 --> 00:15:11,873
+你是怕羞的孩子吗
+
+237
+00:15:11,874 --> 00:15:14,411
+看吧 你自己看
+
+238
+00:15:14,411 --> 00:15:20,500
+左边的乳头和右边的乳头 硬度完全不一样
+
+239
+00:15:22,023 --> 00:15:25,066
+这个也变硬了
+
+240
+00:15:42,828 --> 00:15:43,334
+---
+
+241
+00:15:46,888 --> 00:15:55,006
+不稍微发出点舒服的声音的话 患者们可不会兴奋起来
+
+242
+00:15:56,529 --> 00:15:58,050
+好嘞
+
+243
+00:15:58,051 --> 00:16:02,111
+必须得让你更害羞才行
+
+244
+00:16:02,111 --> 00:16:06,678
+下来吧 快点
+
+245
+00:16:09,215 --> 00:16:11,752
+站在这里
+
+246
+00:16:23,424 --> 00:16:27,989
+你现在是什么心情 放过我吧
+
+247
+00:16:27,991 --> 00:16:30,020
+不行
+
+248
+00:16:30,020 --> 00:16:32,556
+这才刚开始呢
+
+249
+00:16:34,080 --> 00:16:37,123
+坐在这里
+
+250
+00:16:51,333 --> 00:16:51,839
+HTML
+
+251
+00:16:54,378 --> 00:16:57,929
+原来如此
+
+252
+00:16:59,452 --> 00:17:05,033
+你有好好处理这边的阴毛呢
+
+253
+00:17:07,064 --> 00:17:09,600
+A
+
+254
+00:17:12,645 --> 00:17:16,705
+气味也没异常 很好
+
+255
+00:17:18,227 --> 00:17:24,316
+味道如何 不要这样
+
+256
+00:17:35,480 --> 00:17:39,032
+目前没有问题
+
+257
+00:17:40,047 --> 00:17:45,629
+因为重点在体内嘛 来吧
+
+258
+00:17:45,629 --> 00:17:50,703
+对于患者 对于VIP患者
+
+259
+00:17:50,704 --> 00:17:53,748
+可不能失礼了呢
+
+260
+00:17:53,748 --> 00:18:00,852
+我会好好地诊察的 别这样
+
+261
+00:18:00,853 --> 00:18:04,912
+这是诊察不要
+
+262
+00:18:07,957 --> 00:18:11,508
+求求你了 放过我吧
+
+263
+00:18:14,046 --> 00:18:17,598
+外观上没有异常呢
+
+264
+00:18:21,658 --> 00:18:24,702
+身为护士你就做好觉悟吧
+
+265
+00:18:25,210 --> 00:18:27,747
+不要 住手
+
+266
+00:18:40,433 --> 00:18:40,940
+---
+
+267
+00:18:41,448 --> 00:18:41,955
+---------------
+
+268
+00:18:45,000 --> 00:18:47,537
+不要这样
+
+269
+00:18:53,119 --> 00:18:53,626
+---
+
+270
+00:18:54,134 --> 00:18:54,641
+------
+
+271
+00:18:54,641 --> 00:18:55,148
+------------------
+
+272
+00:18:56,671 --> 00:19:03,267
+北冈小姐 你不用忍耐的
+
+273
+00:19:04,790 --> 00:19:07,834
+这里都一抖一抖了不是吗
+
+274
+00:19:07,835 --> 00:19:09,864
+这可是呢
+
+275
+00:19:09,865 --> 00:19:12,909
+身体在意识中渴求男人的证据
+
+276
+00:19:12,909 --> 00:19:15,954
+不对 请住手
+
+277
+00:19:15,954 --> 00:19:17,983
+你妈妈身体健康的时候一定也渴望着男人的滋润吧
+
+278
+00:19:17,984 --> 00:19:18,491
+你妈妈身体健康的时候 一定也渴望着男人的滋润吧
+
+279
+00:19:18,491 --> 00:19:21,028
+你妈妈身体健康的时候一定也渴望着男人的滋润吧
+
+280
+00:19:21,028 --> 00:19:23,058
+别说了
+
+281
+00:19:25,595 --> 00:19:26,102
+------
+
+282
+00:19:26,103 --> 00:19:26,610
+HTML
+
+283
+00:19:26,610 --> 00:19:32,699
+------
+
+284
+00:19:32,700 --> 00:19:33,714
+---------------------
+
+285
+00:19:33,714 --> 00:19:35,236
+------
+
+286
+00:19:35,237 --> 00:19:35,744
+---
+
+287
+00:19:35,744 --> 00:19:42,341
+接下来要分泌出健康体液了
+
+288
+00:19:42,341 --> 00:19:42,848
+------
+
+289
+00:19:42,848 --> 00:19:43,355
+---
+
+290
+00:19:43,356 --> 00:19:43,863
+------
+
+291
+00:19:43,863 --> 00:19:45,893
+---
+
+292
+00:19:45,893 --> 00:19:46,400
+------
+
+293
+00:19:46,401 --> 00:19:47,415
+---
+
+294
+00:19:47,923 --> 00:19:48,430
+------
+
+295
+00:19:48,430 --> 00:19:49,952
+---
+
+296
+00:19:50,968 --> 00:19:51,982
+------------------
+
+297
+00:19:51,982 --> 00:19:52,489
+---
+
+298
+00:19:52,490 --> 00:19:52,997
+------
+
+299
+00:19:54,012 --> 00:19:54,519
+---
+
+300
+00:20:10,250 --> 00:20:15,324
+放过我吧 求求你
+
+301
+00:20:24,966 --> 00:20:25,473
+HTML
+
+302
+00:20:26,488 --> 00:20:30,040
+不要 停下来
+
+303
+00:20:41,204 --> 00:20:44,756
+你其实也挺乐意的嘛 北冈小姐
+
+304
+00:20:56,935 --> 00:21:00,487
+就这样放松吧
+
+305
+00:21:07,084 --> 00:21:10,128
+已经准备好了
+
+306
+00:21:10,129 --> 00:21:18,755
+接下来就要服侍男人的身体了
+
+307
+00:21:18,755 --> 00:21:23,322
+不要 这不是说不要的时候
+
+308
+00:21:23,322 --> 00:21:26,366
+你妈妈变成什么样都无所谓吗
+
+309
+00:21:26,367 --> 00:21:29,918
+你想救妈妈吧
+
+310
+00:21:29,919 --> 00:21:32,963
+只要我一声令下
+
+311
+00:21:32,963 --> 00:21:38,037
+她就能进行最棒的手术了
+
+312
+00:21:46,664 --> 00:21:49,201
+不要停下来 要继续动
+
+313
+00:21:50,724 --> 00:21:53,768
+要好好看着我这边
+
+314
+00:21:59,858 --> 00:22:03,410
+距离太远了 靠近一点
+
+315
+00:22:05,440 --> 00:22:08,991
+保持社交距离已经结束了
+
+316
+00:22:10,007 --> 00:22:13,051
+靠近点放过我吧
+
+317
+00:22:24,215 --> 00:22:26,752
+摸上去
+
+318
+00:22:27,767 --> 00:22:33,349
+不要用太多力气 适应的力量
+
+319
+00:22:35,886 --> 00:22:41,468
+不要停下的 快点继续动
+
+320
+00:22:42,483 --> 00:22:45,020
+我不要
+
+321
+00:22:47,558 --> 00:22:52,631
+偶尔也要用嘴巴
+
+322
+00:22:52,632 --> 00:22:57,706
+嘴巴 先张开嘴巴吧
+
+323
+00:23:00,751 --> 00:23:12,929
+---
+
+324
+00:23:14,959 --> 00:23:18,004
+不要碰到牙齿
+
+325
+00:23:19,526 --> 00:23:20,033
+---
+
+326
+00:23:20,034 --> 00:23:23,585
+要多分泌点唾液
+
+327
+00:23:24,093 --> 00:23:24,600
+___
+
+328
+00:23:24,601 --> 00:23:31,197
+然后把舌头缠在肉棒上
+
+329
+00:23:37,287 --> 00:23:40,331
+那是什么表情
+
+330
+00:23:40,839 --> 00:23:43,883
+你能不能再配合一点呀
+
+331
+00:23:45,406 --> 00:23:49,465
+站起来 到检查台上
+
+332
+00:23:50,988 --> 00:23:52,510
+---
+
+333
+00:23:52,510 --> 00:23:55,554
+我也说了好几遍了
+
+334
+00:23:55,555 --> 00:23:58,092
+不想做洗手的动作
+
+335
+00:23:58,092 --> 00:23:59,106
+就是因为你不配合 才变成这样
+
+336
+00:23:59,107 --> 00:23:59,614
+就是因为你不配合才变成这样
+
+337
+00:23:59,614 --> 00:24:00,629
+就是因为你不配合 才变成这样
+
+338
+00:24:00,629 --> 00:24:01,136
+就是因为你不配合才变成这样
+
+339
+00:24:01,137 --> 00:24:02,151
+就是因为你不配合 才变成这样
+
+340
+00:24:02,152 --> 00:24:06,211
+知道了吗 张嘴
+
+341
+00:24:07,733 --> 00:24:10,270
+快点张开 听话
+
+342
+00:24:27,524 --> 00:24:30,060
+------
+
+343
+00:24:30,061 --> 00:24:30,568
+---
+
+344
+00:24:30,568 --> 00:24:31,583
+------
+
+345
+00:24:32,091 --> 00:24:32,598
+------------------
+
+346
+00:24:33,106 --> 00:24:35,642
+含进喉咙里
+
+347
+00:24:36,150 --> 00:24:37,165
+------
+
+348
+00:24:37,165 --> 00:24:37,672
+---------------
+
+349
+00:24:38,180 --> 00:24:39,702
+------
+
+350
+00:24:39,702 --> 00:24:40,209
+------------
+
+351
+00:24:40,210 --> 00:24:40,717
+---------------
+
+352
+00:24:40,717 --> 00:24:41,224
+------------------
+
+353
+00:24:41,732 --> 00:24:42,239
+------
+
+354
+00:24:42,240 --> 00:24:43,761
+------------------
+
+355
+00:24:43,762 --> 00:24:44,269
+------
+
+356
+00:24:45,792 --> 00:24:46,299
+---
+
+357
+00:24:47,821 --> 00:24:50,358
+别这么痛苦嘛
+
+358
+00:24:50,359 --> 00:24:55,433
+有很多患者的肉棒会更大的
+
+359
+00:24:55,940 --> 00:24:56,447
+------
+
+360
+00:24:56,955 --> 00:25:03,044
+---
+
+361
+00:25:03,045 --> 00:25:04,059
+只要你努力的话你妈妈获救的机率也会提高的
+
+362
+00:25:04,060 --> 00:25:04,567
+只要你努力的话 你妈妈获救的机率也会提高的
+
+363
+00:25:04,567 --> 00:25:07,611
+只要你努力的话你妈妈获救的机率也会提高的
+
+364
+00:25:07,612 --> 00:25:10,148
+加油
+
+365
+00:25:10,656 --> 00:25:11,163
+---
+
+366
+00:25:11,164 --> 00:25:11,671
+------------
+
+367
+00:25:12,179 --> 00:25:12,686
+------
+
+368
+00:25:13,194 --> 00:25:19,790
+---
+
+369
+00:25:29,432 --> 00:25:32,476
+越来越好了呢
+
+370
+00:25:33,491 --> 00:25:36,535
+我再动快一点
+
+371
+00:25:37,551 --> 00:25:38,058
+---
+
+372
+00:25:40,595 --> 00:25:41,102
+------------------
+
+373
+00:25:41,103 --> 00:25:42,625
+---
+
+374
+00:25:48,207 --> 00:25:52,774
+不错 就这样继续下去
+
+375
+00:25:52,774 --> 00:25:55,311
+坚持住
+
+376
+00:26:03,938 --> 00:26:07,997
+很好 北冈小姐
+
+377
+00:26:11,549 --> 00:26:14,086
+还没有结束
+
+378
+00:26:32,862 --> 00:26:33,369
+---
+
+379
+00:26:33,369 --> 00:26:35,399
+继续加油吧
+
+380
+00:26:45,548 --> 00:26:46,055
+---
+
+381
+00:26:46,563 --> 00:26:47,070
+Background
+
+382
+00:26:47,070 --> 00:26:47,577
+---
+
+383
+00:26:48,085 --> 00:26:48,592
+------
+
+384
+00:26:49,100 --> 00:26:50,115
+---
+
+385
+00:26:50,115 --> 00:26:50,622
+------
+
+386
+00:26:52,145 --> 00:26:52,652
+---
+
+387
+00:26:53,160 --> 00:26:53,667
+HTML:
+
+388
+00:27:02,801 --> 00:27:03,308
+---
+
+389
+00:27:05,846 --> 00:27:06,353
+Background
+
+390
+00:27:07,876 --> 00:27:08,383
+---
+
+391
+00:27:09,398 --> 00:27:09,905
+---------------
+
+392
+00:27:11,428 --> 00:27:11,935
+---
+
+393
+00:27:11,935 --> 00:27:12,442
+HTML
+
+394
+00:27:13,965 --> 00:27:14,472
+---
+
+395
+00:27:14,472 --> 00:27:14,979
+---------------
+
+396
+00:27:15,487 --> 00:27:15,994
+---
+
+397
+00:27:15,995 --> 00:27:18,531
+把身心都放松出来吧
+
+398
+00:27:18,532 --> 00:27:19,039
+98室[巴花堂]永久地址489155.com把身心都放松出来吧
+
+399
+00:27:19,039 --> 00:27:19,546
+98室[芭花堂]永久地址489155.com把身心都放松出来吧
+
+400
+00:27:19,547 --> 00:27:21,069
+98室[巴花堂]永久地址489155.com把身心都放松出来吧
+
+401
+00:27:21,069 --> 00:27:21,576
+98室[芭花室]永久地址489155.com把身心都放松出来吧
+
+402
+00:27:21,576 --> 00:27:22,083
+把身心都放松出来吧
+
+403
+00:27:22,591 --> 00:27:23,098
+---
+
+404
+00:27:24,621 --> 00:27:29,188
+把腿张开 等一下
+
+405
+00:27:29,188 --> 00:27:31,217
+你想做什么
+
+406
+00:27:31,218 --> 00:27:33,755
+到这一步 要做的事只有一件了吧
+
+407
+00:27:33,755 --> 00:27:37,307
+求求你 这个千万不要
+
+408
+00:27:37,307 --> 00:27:39,844
+为什么呢
+
+409
+00:27:39,844 --> 00:27:41,874
+---
+
+410
+00:27:41,874 --> 00:27:46,441
+难道说你是第一次吗
+
+411
+00:27:46,441 --> 00:27:46,948
+---
+
+412
+00:27:46,949 --> 00:27:52,023
+如果是的话那我就更应该负责
+
+413
+00:27:52,023 --> 00:27:56,082
+帮你把处女膜捅破了
+
+414
+00:27:56,083 --> 00:28:02,679
+可不能给VIP患者们便宜
+
+415
+00:28:02,679 --> 00:28:04,709
+不要紧 不要紧
+
+416
+00:28:04,709 --> 00:28:09,783
+谁都会在遥远的路上
+
+417
+00:28:09,783 --> 00:28:18,410
+求求你 不要插进小穴 被我这样高明的想法贯穿
+
+418
+00:28:18,410 --> 00:28:20,439
+你真是过方不要
+
+419
+00:28:20,440 --> 00:28:20,947
+你真是过方 不要
+
+420
+00:28:20,947 --> 00:28:23,484
+放松点吧
+
+421
+00:28:28,559 --> 00:28:31,603
+小穴好紧
+
+422
+00:28:32,111 --> 00:28:34,648
+处女膜
+
+423
+00:28:39,215 --> 00:28:44,289
+不要紧 只要进去了就没事了
+
+424
+00:28:44,290 --> 00:28:44,797
+---
+
+425
+00:28:44,797 --> 00:28:46,826
+不行马上就会习惯啦
+
+426
+00:28:46,827 --> 00:28:47,334
+不行 马上就会习惯啦
+
+427
+00:28:47,334 --> 00:28:49,871
+不行马上就会习惯啦
+
+428
+00:28:49,871 --> 00:28:54,438
+真的不行 不要
+
+429
+00:28:56,976 --> 00:28:58,498
+---
+
+430
+00:28:58,498 --> 00:28:59,005
+------
+
+431
+00:28:59,005 --> 00:29:02,557
+---
+
+432
+00:29:02,558 --> 00:29:06,109
+只有刚开始会痛
+
+433
+00:29:06,110 --> 00:29:11,184
+不要 请住手 我不行了
+
+434
+00:29:11,184 --> 00:29:12,706
+---
+
+435
+00:29:17,781 --> 00:29:21,840
+深呼吸 深呼吸
+
+436
+00:29:22,348 --> 00:29:25,899
+---
+
+437
+00:29:29,452 --> 00:29:34,526
+你慢慢习惯了吧 不行
+
+438
+00:29:38,586 --> 00:29:41,630
+医生请住手吧 没事的
+
+439
+00:29:42,138 --> 00:29:44,167
+我做不到
+
+440
+00:29:49,242 --> 00:29:53,301
+真不错呢 看到你处女膜被摸
+
+441
+00:29:53,302 --> 00:29:58,883
+被我侵犯的样子让我好兴奋
+
+442
+00:30:00,913 --> 00:30:01,420
+---------------
+
+443
+00:30:01,421 --> 00:30:04,465
+---
+
+444
+00:30:04,973 --> 00:30:05,480
+------------
+
+445
+00:30:13,599 --> 00:30:14,106
+---
+
+446
+00:30:14,107 --> 00:30:19,181
+我再插深一点
+
+447
+00:30:19,181 --> 00:30:22,226
+请住手
+
+448
+00:30:24,256 --> 00:30:25,270
+---
+
+449
+00:30:26,286 --> 00:30:26,793
+------------------
+
+450
+00:30:26,793 --> 00:30:27,300
+------
+
+451
+00:30:27,300 --> 00:30:27,807
+------------------
+
+452
+00:30:27,808 --> 00:30:33,389
+我不行了啦 就快结束了
+
+453
+00:30:33,390 --> 00:30:33,897
+------------------
+
+454
+00:30:33,897 --> 00:30:36,941
+快点结束 求求你
+
+455
+00:30:36,942 --> 00:30:37,449
+------------------
+
+456
+00:30:37,957 --> 00:30:41,508
+求求你 对不起 我不行了
+
+457
+00:30:41,509 --> 00:30:44,046
+不用道歉啦
+
+458
+00:30:44,046 --> 00:30:46,075
+你只要帮我就好
+
+459
+00:30:46,076 --> 00:30:48,613
+我不行 真的不行
+
+460
+00:30:48,613 --> 00:30:50,642
+------------------
+
+461
+00:30:50,643 --> 00:30:51,150
+------
+
+462
+00:30:51,150 --> 00:30:51,657
+---
+
+463
+00:30:51,658 --> 00:30:52,165
+------
+
+464
+00:30:52,165 --> 00:30:53,180
+------------------
+
+465
+00:30:53,180 --> 00:30:54,194
+------
+
+466
+00:30:54,195 --> 00:30:54,702
+------------
+
+467
+00:30:54,702 --> 00:30:55,209
+------------------
+
+468
+00:30:55,210 --> 00:30:55,717
+------
+
+469
+00:30:55,717 --> 00:30:56,224
+---
+
+470
+00:30:56,225 --> 00:30:57,239
+------
+
+471
+00:30:57,747 --> 00:30:58,761
+---
+
+472
+00:30:59,269 --> 00:30:59,776
+------
+
+473
+00:30:59,777 --> 00:31:00,284
+---
+
+474
+00:31:01,299 --> 00:31:01,806
+---------------
+
+475
+00:31:01,806 --> 00:31:11,447
+---
+
+476
+00:31:14,493 --> 00:31:17,537
+你现在也舒服起来了嘛
+
+477
+00:31:20,582 --> 00:31:28,193
+---
+
+478
+00:31:41,387 --> 00:31:44,431
+现在做的就是所谓的正常位
+
+479
+00:31:44,432 --> 00:31:44,939
+现在做的 就是所谓的正常位
+
+480
+00:31:44,939 --> 00:31:46,968
+现在做的就是所谓的正常位
+
+481
+00:31:46,969 --> 00:31:50,013
+根据患者的不同也有各种各样的体位
+
+482
+00:31:50,014 --> 00:31:50,521
+根据患者的不同 也有各种各样的体位
+
+483
+00:31:50,521 --> 00:31:53,058
+根据患者的不同也有各种各样的体位
+
+484
+00:31:53,058 --> 00:31:55,088
+所以就和我一起试试吧
+
+485
+00:31:55,088 --> 00:31:57,625
+不要 我不要
+
+486
+00:32:00,670 --> 00:32:04,221
+你可以趴起来了
+
+487
+00:32:04,729 --> 00:32:07,266
+快点
+
+488
+00:32:08,281 --> 00:32:13,355
+---
+
+489
+00:32:18,430 --> 00:32:18,937
+A
+
+490
+00:32:22,997 --> 00:32:24,519
+不要 不要乱动
+
+491
+00:32:24,520 --> 00:32:25,027
+不要不要乱动
+
+492
+00:32:25,027 --> 00:32:26,042
+不要 不要乱动
+
+493
+00:32:26,042 --> 00:32:28,579
+要试试看各种体位
+
+494
+00:32:28,579 --> 00:32:29,594
+我做不到
+
+495
+00:32:29,594 --> 00:32:32,638
+真正上场的时候 你就不会太紧张了
+
+496
+00:32:32,639 --> 00:32:33,146
+真正上场的时候你就不会太紧张了
+
+497
+00:32:33,146 --> 00:32:34,668
+真正上场的时候 你就不会太紧张了
+
+498
+00:32:45,325 --> 00:32:45,832
+毕竟有些人就是喜欢那种女性嘛
+
+499
+00:32:45,832 --> 00:32:51,921
+毕竟有些人 就是喜欢那种女性嘛
+
+500
+00:32:51,922 --> 00:32:56,488
+我做不到 已经不行了
+
+501
+00:32:58,011 --> 00:32:58,518
+HTML
+
+502
+00:32:59,026 --> 00:33:03,085
+这种事怎么可能做得到呢 明天可就来不及适应了
+
+503
+00:33:03,085 --> 00:33:05,622
+---
+
+504
+00:33:05,622 --> 00:33:06,129
+------------------
+
+505
+00:33:06,130 --> 00:33:07,144
+------
+
+506
+00:33:07,145 --> 00:33:07,652
+---
+
+507
+00:33:07,652 --> 00:33:09,174
+------
+
+508
+00:33:09,175 --> 00:33:11,204
+---
+
+509
+00:33:12,219 --> 00:33:12,726
+------
+
+510
+00:33:12,727 --> 00:33:16,278
+---
+
+511
+00:33:16,279 --> 00:33:16,786
+------
+
+512
+00:33:17,294 --> 00:33:18,308
+---
+
+513
+00:33:18,309 --> 00:33:18,816
+------
+
+514
+00:33:19,323 --> 00:33:21,860
+---
+
+515
+00:33:22,876 --> 00:33:23,383
+------
+
+516
+00:33:25,920 --> 00:33:34,039
+抬起头来 好好看看自己现在身处的状况
+
+517
+00:33:58,396 --> 00:34:02,456
+不行 请住手
+
+518
+00:34:03,978 --> 00:34:10,067
+求求你 放过我吧 我不会放过你
+
+519
+00:34:13,112 --> 00:34:32,395
+---
+
+520
+00:34:34,931 --> 00:34:35,438
+------
+
+521
+00:34:35,440 --> 00:34:36,454
+---
+
+522
+00:34:36,455 --> 00:34:36,962
+------------------
+
+523
+00:34:36,962 --> 00:34:40,005
+---
+
+524
+00:34:40,007 --> 00:34:40,514
+------
+
+525
+00:34:40,514 --> 00:34:43,558
+---
+
+526
+00:34:48,126 --> 00:34:51,678
+就是这种感觉
+
+527
+00:34:55,737 --> 00:34:59,797
+要插进小穴最里面才可以
+
+528
+00:34:59,797 --> 00:35:27,198
+---
+
+529
+00:35:27,199 --> 00:35:29,736
+---------------
+
+530
+00:35:30,244 --> 00:35:31,765
+------
+
+531
+00:35:31,766 --> 00:35:32,780
+---
+
+532
+00:35:33,796 --> 00:35:36,840
+别再这样了 不行
+
+533
+00:35:36,840 --> 00:35:40,392
+正好舒服起来了 不会停的
+
+534
+00:35:40,392 --> 00:35:40,899
+---
+
+535
+00:35:41,407 --> 00:35:43,944
+住手
+
+536
+00:35:47,497 --> 00:35:50,033
+救救我
+
+537
+00:36:05,765 --> 00:36:11,346
+还没结束呢 把腿抬起来
+
+538
+00:36:12,361 --> 00:36:12,868
+---------------
+
+539
+00:36:20,480 --> 00:36:25,554
+不行 不要
+
+540
+00:36:27,077 --> 00:36:29,614
+看清楚我的脸
+
+541
+00:36:30,629 --> 00:36:31,136
+第一次的对象可是我这个医务室长
+
+542
+00:36:31,137 --> 00:36:31,644
+第一次的对象 可是我这个医务室长
+
+543
+00:36:31,644 --> 00:36:32,151
+第一次的对象可是我这个医务室长
+
+544
+00:36:32,152 --> 00:36:32,659
+第一次的对象 可是我这个医务室长
+
+545
+00:36:32,659 --> 00:36:33,166
+第一次的对象可是我这个医务室长
+
+546
+00:36:33,166 --> 00:36:34,181
+第一次的对象 可是我这个医务室长
+
+547
+00:36:34,181 --> 00:36:35,196
+第一次的对象可是我这个医务室长
+
+548
+00:36:35,196 --> 00:36:35,703
+第一次的对象 可是我这个医务室长
+
+549
+00:36:35,704 --> 00:36:36,211
+第一次的对象可是我这个医务室长
+
+550
+00:36:36,211 --> 00:36:36,718
+第一次的对象 可是我这个医务室长
+
+551
+00:36:36,719 --> 00:36:40,270
+不要 我不要
+
+552
+00:36:40,271 --> 00:36:40,778
+---------------
+
+553
+00:36:40,778 --> 00:36:41,285
+------
+
+554
+00:36:41,286 --> 00:36:41,793
+------------------
+
+555
+00:36:42,300 --> 00:36:45,345
+把眼睛睁开看过来
+
+556
+00:36:45,345 --> 00:36:49,912
+不要 不可以
+
+557
+00:36:49,912 --> 00:36:53,971
+以后你会觉得第一次
+
+558
+00:36:53,972 --> 00:36:58,538
+跟权藤医生做真的太好了
+
+559
+00:36:58,539 --> 00:37:05,135
+我不要 不可以 住手
+
+560
+00:37:08,180 --> 00:37:08,687
+------------------
+
+561
+00:37:09,195 --> 00:37:09,702
+---
+
+562
+00:37:09,702 --> 00:37:15,284
+让我用力搅动里面
+
+563
+00:37:15,284 --> 00:37:16,299
+---
+
+564
+00:37:16,299 --> 00:37:17,821
+------
+
+565
+00:37:17,821 --> 00:37:19,851
+不行
+
+566
+00:37:19,851 --> 00:37:20,866
+------------------
+
+567
+00:37:20,866 --> 00:37:21,373
+---
+
+568
+00:37:21,881 --> 00:37:22,388
+---------------
+
+569
+00:37:22,388 --> 00:37:26,447
+------
+
+570
+00:37:26,448 --> 00:37:26,955
+---------------
+
+571
+00:37:26,955 --> 00:37:27,462
+------------------
+
+572
+00:37:27,463 --> 00:37:28,477
+------
+
+573
+00:37:28,478 --> 00:37:28,985
+---
+
+574
+00:37:28,985 --> 00:37:30,000
+------
+
+575
+00:37:30,000 --> 00:37:30,507
+------------------
+
+576
+00:37:30,507 --> 00:37:31,522
+------
+
+577
+00:37:31,522 --> 00:37:33,044
+------------------
+
+578
+00:37:34,060 --> 00:37:34,567
+------
+
+579
+00:37:34,567 --> 00:37:35,074
+------------------
+
+580
+00:37:35,074 --> 00:37:35,581
+---
+
+581
+00:37:35,582 --> 00:37:36,089
+------------------
+
+582
+00:37:36,089 --> 00:37:36,596
+------
+
+583
+00:37:37,104 --> 00:37:37,611
+--- ---
+
+584
+00:37:37,612 --> 00:37:38,626
+------------------
+
+585
+00:37:38,627 --> 00:37:39,641
+------
+
+586
+00:37:39,641 --> 00:37:40,148
+------------------
+
+587
+00:37:40,149 --> 00:37:41,163
+------
+
+588
+00:37:41,164 --> 00:37:41,671
+---
+
+589
+00:37:41,671 --> 00:37:42,178
+------
+
+590
+00:37:42,179 --> 00:37:42,686
+---
+
+591
+00:37:42,686 --> 00:37:43,193
+--- ---
+
+592
+00:37:43,194 --> 00:37:43,701
+------------
+
+593
+00:37:43,701 --> 00:37:44,208
+------
+
+594
+00:37:44,208 --> 00:37:44,715
+---
+
+595
+00:37:44,716 --> 00:37:45,223
+---------------
+
+596
+00:37:45,731 --> 00:37:46,238
+---
+
+597
+00:37:46,238 --> 00:37:46,745
+------
+
+598
+00:37:47,253 --> 00:37:48,267
+---
+
+599
+00:37:48,268 --> 00:37:48,775
+------
+
+600
+00:37:49,283 --> 00:37:49,790
+---
+
+601
+00:37:49,790 --> 00:37:50,297
+------
+
+602
+00:37:50,298 --> 00:37:51,312
+---
+
+603
+00:37:51,313 --> 00:37:51,820
+------
+
+604
+00:37:51,820 --> 00:37:54,357
+---
+
+605
+00:37:54,865 --> 00:37:56,387
+------
+
+606
+00:37:56,894 --> 00:37:57,401
+---------------
+
+607
+00:37:57,402 --> 00:37:57,909
+---
+
+608
+00:37:57,909 --> 00:37:58,416
+------
+
+609
+00:37:58,417 --> 00:37:58,924
+---
+
+610
+00:37:58,924 --> 00:37:59,431
+------
+
+611
+00:37:59,432 --> 00:37:59,939
+---
+
+612
+00:37:59,939 --> 00:38:00,446
+------------------
+
+613
+00:38:00,954 --> 00:38:02,476
+---
+
+614
+00:38:02,476 --> 00:38:02,983
+------------------
+
+615
+00:38:03,999 --> 00:38:06,028
+---
+
+616
+00:38:12,118 --> 00:38:15,162
+你刚刚感觉到了
+
+617
+00:38:16,685 --> 00:38:19,729
+用力抓住我
+
+618
+00:38:21,252 --> 00:38:22,266
+---
+
+619
+00:38:22,267 --> 00:38:22,774
+------
+
+620
+00:38:33,430 --> 00:38:37,489
+这个是骑乘位
+
+621
+00:38:46,116 --> 00:38:49,668
+不要 不可以
+
+622
+00:38:50,176 --> 00:38:54,742
+---
+
+623
+00:38:54,743 --> 00:38:55,250
+---------------
+
+624
+00:38:55,250 --> 00:38:55,757
+---
+
+625
+00:38:55,758 --> 00:38:59,817
+医生 请住手
+
+626
+00:38:59,817 --> 00:39:03,369
+---
+
+627
+00:39:03,877 --> 00:39:04,384
+------------------
+
+628
+00:39:04,892 --> 00:39:05,399
+------
+
+629
+00:39:14,026 --> 00:39:17,070
+我都说了你没必要忍耐的
+
+630
+00:39:17,070 --> 00:39:19,100
+尽情舒服起来
+
+631
+00:39:19,100 --> 00:39:21,129
+不要 把手撑在后面试试吧
+
+632
+00:39:21,130 --> 00:39:21,637
+不要把手撑在后面试试吧
+
+633
+00:39:21,637 --> 00:39:24,174
+不要 把手撑在后面试试吧
+
+634
+00:39:35,846 --> 00:39:38,890
+等一下 别再这样了
+
+635
+00:39:42,442 --> 00:39:45,994
+不要 不可以
+
+636
+00:39:45,995 --> 00:39:49,546
+不要 求求你停下来
+
+637
+00:39:49,547 --> 00:39:50,054
+------
+
+638
+00:39:50,054 --> 00:39:51,576
+---
+
+639
+00:39:51,576 --> 00:39:52,083
+------------------
+
+640
+00:39:52,084 --> 00:39:56,143
+---
+
+641
+00:39:58,173 --> 00:39:58,680
+------------
+
+642
+00:40:06,800 --> 00:40:09,336
+再做点别的吧
+
+643
+00:40:10,859 --> 00:40:13,903
+接吻呢 接吻
+
+644
+00:40:13,904 --> 00:40:17,456
+为什么不接吻呢
+
+645
+00:40:27,605 --> 00:40:33,694
+别总是反抗哦
+
+646
+00:40:37,246 --> 00:40:40,798
+---
+
+647
+00:40:42,321 --> 00:40:42,828
+------
+
+648
+00:40:44,350 --> 00:40:48,410
+我是要负起责任的
+
+649
+00:40:48,917 --> 00:40:53,991
+即使跟VIP患者接触 我也会这样帮你的
+
+650
+00:41:00,081 --> 00:41:07,185
+---
+
+651
+00:41:07,693 --> 00:41:08,200
+------
+
+652
+00:41:08,708 --> 00:41:12,259
+---
+
+653
+00:41:12,767 --> 00:41:13,274
+---------------
+
+654
+00:41:15,304 --> 00:41:19,364
+危险 危险 要倒了
+
+655
+00:41:23,931 --> 00:41:26,468
+你躺下去吧
+
+656
+00:41:26,976 --> 00:41:32,557
+果然 第一次 这个姿势最好
+
+657
+00:41:36,617 --> 00:41:37,631
+---
+
+658
+00:41:40,169 --> 00:41:40,676
+------
+
+659
+00:41:40,677 --> 00:42:04,526
+---
+
+660
+00:42:04,526 --> 00:42:09,093
+让我好好看看你的脸
+
+661
+00:42:09,093 --> 00:42:11,123
+---
+
+662
+00:42:11,123 --> 00:42:11,630
+------------------
+
+663
+00:42:11,631 --> 00:42:14,167
+不要
+
+664
+00:42:14,168 --> 00:42:14,675
+------
+
+665
+00:42:14,675 --> 00:42:15,182
+------------------
+
+666
+00:42:15,183 --> 00:42:17,212
+---
+
+667
+00:42:17,212 --> 00:42:17,719
+------
+
+668
+00:42:17,720 --> 00:42:20,257
+---
+
+669
+00:42:20,257 --> 00:42:20,764
+------
+
+670
+00:42:20,765 --> 00:42:21,272
+------------------
+
+671
+00:42:22,287 --> 00:42:25,331
+---
+
+672
+00:42:25,332 --> 00:42:25,839
+------
+
+673
+00:42:27,361 --> 00:42:28,376
+---
+
+674
+00:42:28,376 --> 00:42:28,883
+------------------
+
+675
+00:42:29,391 --> 00:42:29,898
+---
+
+676
+00:42:30,913 --> 00:42:31,420
+------
+
+677
+00:42:31,928 --> 00:42:32,435
+------------------
+
+678
+00:42:33,451 --> 00:42:34,972
+------
+
+679
+00:42:34,973 --> 00:42:35,480
+---------------------
+
+680
+00:42:35,480 --> 00:42:40,047
+------
+
+681
+00:42:41,062 --> 00:42:41,569
+------------------
+
+682
+00:42:41,570 --> 00:42:42,077
+------
+
+683
+00:42:42,077 --> 00:42:43,092
+---
+
+684
+00:42:51,211 --> 00:42:53,240
+北冈小姐
+
+685
+00:42:53,241 --> 00:42:57,807
+你要接受现实了
+
+686
+00:43:00,853 --> 00:43:14,046
+---
+
+687
+00:43:15,061 --> 00:43:18,613
+这就是所谓的做爱
+
+688
+00:43:19,120 --> 00:43:19,627
+---
+
+689
+00:43:22,673 --> 00:43:25,209
+做爱这种事呢
+
+690
+00:43:25,210 --> 00:43:29,269
+最后男人射精之后就结束了
+
+691
+00:43:29,269 --> 00:43:31,299
+今天
+
+692
+00:43:31,299 --> 00:43:34,343
+就要直接在你的里面射出来了
+
+693
+00:43:34,344 --> 00:43:39,925
+不要 不可以这样 不要管了 没事的
+
+694
+00:43:39,926 --> 00:43:45,507
+住手 不要射进去 我不行了
+
+695
+00:43:45,507 --> 00:43:50,581
+拜托你 请住手 不要这样
+
+696
+00:43:50,582 --> 00:43:55,148
+接受它吧 求求你了 不要
+
+697
+00:43:55,149 --> 00:43:55,656
+---
+
+698
+00:43:57,179 --> 00:43:57,686
+---------------
+
+699
+00:43:58,701 --> 00:44:01,745
+要射了
+
+700
+00:44:02,253 --> 00:44:04,790
+射了
+
+701
+00:44:05,298 --> 00:44:09,864
+来吧 好好接住它
+
+702
+00:44:14,939 --> 00:44:15,446
+---
+
+703
+00:44:18,491 --> 00:44:22,550
+别担心 全部射完就拔出来了
+
+704
+00:44:24,073 --> 00:44:24,580
+---------------
+
+705
+00:44:30,670 --> 00:44:31,177
+---
+
+706
+00:44:31,177 --> 00:44:31,684
+---------------
+
+707
+00:44:31,685 --> 00:44:33,207
+------------
+
+708
+00:44:33,207 --> 00:44:33,714
+------
+
+709
+00:44:33,714 --> 00:44:34,221
+------------
+
+710
+00:44:34,729 --> 00:44:35,236
+---
+
+711
+00:44:35,237 --> 00:44:36,251
+------------
+
+712
+00:44:36,252 --> 00:44:36,759
+---
+
+713
+00:44:37,774 --> 00:44:38,281
+------------
+
+714
+00:44:38,281 --> 00:44:38,788
+---------------
+
+715
+00:44:38,789 --> 00:44:39,296
+------------
+
+716
+00:44:39,296 --> 00:44:39,803
+------
+
+717
+00:44:40,311 --> 00:44:41,326
+------------
+
+718
+00:44:41,326 --> 00:44:41,833
+---
+
+719
+00:44:41,834 --> 00:44:42,341
+---------------
+
+720
+00:44:42,341 --> 00:44:43,355
+---
+
+721
+00:44:43,356 --> 00:44:43,863
+------------
+
+722
+00:44:43,863 --> 00:44:44,370
+---------------
+
+723
+00:44:44,371 --> 00:44:44,878
+------------
+
+724
+00:44:45,386 --> 00:44:45,893
+---
+
+725
+00:44:46,401 --> 00:44:46,908
+------------
+
+726
+00:44:47,415 --> 00:44:48,430
+---------------
+
+727
+00:44:48,430 --> 00:44:48,937
+------------
+
+728
+00:44:50,968 --> 00:44:51,982
+明天开始你就是特别单间病房患者的负责人
+
+729
+00:44:51,982 --> 00:44:53,504
+明天开始你就是特别单间 病房患者的负责人
+
+730
+00:44:53,505 --> 00:44:54,519
+明天开始你就是特别单间病房患者的负责人
+
+731
+00:44:54,520 --> 00:44:55,534
+明天开始你就是特别单间 病房患者的负责人
+
+732
+00:44:55,535 --> 00:44:56,549
+明天开始你就是特别单间病房患者的负责人
+
+733
+00:44:56,549 --> 00:45:05,683
+请感到光荣吧 你妈妈也会很高兴的
+
+734
+00:45:06,698 --> 00:45:21,414
+---
+
+735
+00:45:22,429 --> 00:45:22,936
+------------------
+
+736
+00:45:22,936 --> 00:45:23,443
+Background
+
+737
+00:45:25,474 --> 00:45:26,995
+------
+
+738
+00:45:27,503 --> 00:45:28,010
+------------------
+
+739
+00:45:28,011 --> 00:45:32,577
+---
+
+740
+00:45:33,085 --> 00:45:33,592
+------
+
+741
+00:45:33,593 --> 00:45:34,100
+---
+
+742
+00:45:40,697 --> 00:45:45,263
+权藤医生把松井小姐叫出来
+
+743
+00:45:45,264 --> 00:45:51,353
+特别单人VIP患者 夜班的呼叫
+
+744
+00:45:51,861 --> 00:45:57,949
+那让我想起了讨厌的事情 从那天起我就觉得
+
+745
+00:45:57,950 --> 00:46:01,502
+这家医院疯了
+
+746
+00:46:04,039 --> 00:46:04,546
+。
+
+747
+00:46:09,114 --> 00:46:13,173
+上次真是非常抱歉
+
+748
+00:46:17,233 --> 00:46:19,770
+因为我的指导不足
+
+749
+00:46:19,770 --> 00:46:22,814
+对患者说了失礼的话
+
+750
+00:46:28,396 --> 00:46:32,963
+不过 这次请你放心吧
+
+751
+00:46:32,963 --> 00:46:36,515
+我们准备了方便指导的工作人员
+
+752
+00:46:36,516 --> 00:46:37,023
+我们准备了 方便指导的工作人员
+
+753
+00:46:37,530 --> 00:46:41,082
+好的 好的
+
+754
+00:46:42,097 --> 00:46:44,127
+必须要
+
+755
+00:46:44,127 --> 00:46:48,694
+让你体验一下我们这家医院 引以为豪的独特服务专案
+
+756
+00:46:52,246 --> 00:46:52,753
+------------------
+
+757
+00:46:53,261 --> 00:46:53,768
+---
+
+758
+00:46:55,291 --> 00:46:55,798
+---------------
+
+759
+00:47:05,440 --> 00:47:05,947
+------
+
+760
+00:47:05,947 --> 00:47:07,469
+---
+
+761
+00:47:07,470 --> 00:47:08,484
+------
+
+762
+00:47:16,096 --> 00:47:16,603
+基本信息
+
+763
+00:47:16,604 --> 00:47:17,111
+资本 偶上郎
+
+764
+00:47:18,126 --> 00:47:18,633
+No text is visible in the provided image.
+
+765
+00:47:18,633 --> 00:47:19,140
+ITMMA PRO
+
+766
+00:47:19,141 --> 00:47:19,648
+医生 屈立豪
+
+767
+00:47:20,663 --> 00:47:21,170
+HTML
+
+768
+00:47:23,708 --> 00:47:26,244
+叶山医生
+
+769
+00:47:27,767 --> 00:47:31,826
+那个 有什么事吗
+
+770
+00:47:31,827 --> 00:47:32,334
+大 大 大
+
+771
+00:47:32,842 --> 00:47:35,378
+权藤医生有指示
+
+772
+00:47:35,379 --> 00:47:35,886
+98室[巴花堂]永久地址489155.com权藤医生有指示
+
+773
+00:47:35,886 --> 00:47:36,393
+98室[芭花堂]永久地址489155.com权藤医生有指示
+
+774
+00:47:36,394 --> 00:47:36,901
+98室[巴花堂]永久地址489155.com权藤医生有指示
+
+775
+00:47:36,901 --> 00:47:37,408
+98室[芭花室]永久地址489155.com
+
+776
+00:47:37,409 --> 00:47:38,423
+98室[巴花堂]永久地址489155.com
+
+777
+00:47:38,424 --> 00:47:45,020
+我们的工作需要你帮忙
+
+778
+00:47:50,602 --> 00:47:54,661
+只要是我能做的我都愿意
+
+779
+00:48:32,212 --> 00:48:32,719
+HTML
+
+780
+00:48:33,735 --> 00:48:43,376
+这家医院 为VIP患者提供了特别服务
+
+781
+00:48:43,376 --> 00:48:44,391
+而且 我也希望你能参加呢
+
+782
+00:48:44,391 --> 00:48:45,406
+而且我也希望你能参加呢
+
+783
+00:48:45,406 --> 00:48:46,420
+而且 我也希望你能参加呢
+
+784
+00:48:46,421 --> 00:48:47,435
+而且我也希望你能参加呢
+
+785
+00:48:47,436 --> 00:48:48,450
+而且 我也希望你能参加呢
+
+786
+00:48:49,973 --> 00:48:52,510
+特别服务
+
+787
+00:48:58,092 --> 00:48:58,599
+------------
+
+788
+00:48:58,599 --> 00:48:59,106
+---------------
+
+789
+00:48:59,107 --> 00:48:59,614
+---
+
+790
+00:48:59,614 --> 00:49:00,629
+---------------
+
+791
+00:49:00,629 --> 00:49:01,136
+------------
+
+792
+00:49:01,137 --> 00:49:01,644
+---
+
+793
+00:49:01,644 --> 00:49:02,151
+---------------
+
+794
+00:49:03,166 --> 00:49:03,673
+------------
+
+795
+00:49:03,674 --> 00:49:04,181
+---------------
+
+796
+00:49:04,181 --> 00:49:05,196
+------------
+
+797
+00:49:05,196 --> 00:49:05,703
+------
+
+798
+00:49:05,704 --> 00:49:06,211
+---------------
+
+799
+00:49:11,286 --> 00:49:11,793
+A
+
+800
+00:50:30,447 --> 00:50:30,954
+---
+
+801
+00:50:56,326 --> 00:50:56,833
+A
+
+802
+00:50:57,341 --> 00:50:57,848
+HTML
+
+803
+00:51:04,445 --> 00:51:06,982
+HTML:
+
+804
+00:51:09,520 --> 00:51:10,027
+background
+
+805
+00:51:23,728 --> 00:51:24,235
+---
+
+806
+00:51:49,100 --> 00:51:49,607
+HTML
+
+807
+00:52:12,442 --> 00:52:14,979
+---
+
+808
+00:52:15,487 --> 00:52:15,994
+------------------
+
+809
+00:52:18,024 --> 00:52:18,531
+HTML
+
+810
+00:52:20,054 --> 00:52:20,561
+---
+
+811
+00:52:21,069 --> 00:52:22,083
+HTML
+
+812
+00:52:27,666 --> 00:52:28,173
+---
+
+813
+00:52:28,173 --> 00:52:28,680
+___
+
+814
+00:52:33,755 --> 00:52:34,262
+2011-11-27
+
+815
+00:52:41,874 --> 00:52:42,381
+0-1KE
+
+816
+00:52:44,919 --> 00:52:45,426
+500+
+
+817
+00:52:45,426 --> 00:52:45,933
+SA
+
+818
+00:53:15,365 --> 00:53:20,947
+医生 这样真的可以吗
+
+819
+00:53:34,648 --> 00:53:57,990
+---
+
+820
+00:54:00,020 --> 00:54:00,527
+------
+
+821
+00:54:01,543 --> 00:54:18,288
+---
+
+822
+00:54:23,363 --> 00:54:34,526
+A
+
+823
+00:54:53,302 --> 00:54:53,809
+---
+
+824
+00:55:07,003 --> 00:55:09,539
+可以吧
+
+825
+00:55:17,659 --> 00:55:18,166
+床
+
+826
+00:55:24,763 --> 00:55:29,330
+再用力舔这里
+
+827
+00:55:30,345 --> 00:55:30,852
+超舒服 超舒服
+
+828
+00:55:30,853 --> 00:55:32,374
+超舒服的 超舒服
+
+829
+00:55:32,375 --> 00:55:32,882
+超舒服 超舒服
+
+830
+00:55:32,882 --> 00:55:33,389
+超舒服的 超舒服
+
+831
+00:55:33,390 --> 00:55:34,404
+超舒服 超舒服
+
+832
+00:55:36,942 --> 00:55:40,493
+再用舌头多舔舔
+
+833
+00:55:43,539 --> 00:55:46,583
+好舒服
+
+834
+00:55:49,628 --> 00:55:53,687
+高潮了 我要高潮了
+
+835
+00:56:02,314 --> 00:56:05,358
+继续舔
+
+836
+00:56:06,373 --> 00:56:07,388
+------------------
+
+837
+00:56:07,388 --> 00:56:09,418
+---
+
+838
+00:56:09,418 --> 00:56:09,925
+------
+
+839
+00:56:09,926 --> 00:56:15,000
+好舒服 太舒服了
+
+840
+00:56:15,000 --> 00:56:17,537
+---
+
+841
+00:56:17,537 --> 00:56:18,552
+--- ---
+
+842
+00:56:18,552 --> 00:56:25,656
+舌头好舒服 继续舔吧
+
+843
+00:56:25,656 --> 00:56:28,193
+就是这里
+
+844
+00:56:30,731 --> 00:56:31,745
+---
+
+845
+00:56:32,253 --> 00:56:32,760
+---------------
+
+846
+00:56:40,880 --> 00:56:45,446
+太舒服了 手指也插进小穴
+
+847
+00:56:45,447 --> 00:56:45,954
+NK
+
+848
+00:56:45,954 --> 00:56:46,461
+NUV
+
+849
+00:56:46,969 --> 00:56:47,476
+N
+
+850
+00:56:53,058 --> 00:56:53,565
+lake
+
+851
+00:56:56,103 --> 00:57:01,684
+舒服 像这样抽插小穴
+
+852
+00:57:04,222 --> 00:57:06,759
+高潮了
+
+853
+00:57:09,296 --> 00:57:10,818
+---
+
+854
+00:57:21,475 --> 00:57:24,519
+那里好舒服
+
+855
+00:57:26,042 --> 00:57:28,579
+好爽
+
+856
+00:57:42,280 --> 00:57:44,817
+再插深一点
+
+857
+00:57:46,340 --> 00:57:51,921
+---
+
+858
+00:57:51,922 --> 00:57:55,473
+高潮了 我高潮了
+
+859
+00:57:55,474 --> 00:57:55,981
+------------
+
+860
+00:57:56,488 --> 00:57:56,995
+---
+
+861
+00:57:56,996 --> 00:57:57,503
+------
+
+862
+00:57:57,503 --> 00:58:03,592
+好厉害 再动快一点
+
+863
+00:58:03,593 --> 00:58:12,726
+---
+
+864
+00:58:12,727 --> 00:58:17,801
+好厉害 不要停下来
+
+865
+00:58:17,801 --> 00:58:18,816
+---
+
+866
+00:58:19,323 --> 00:58:23,890
+高潮了 我高潮了
+
+867
+00:58:23,890 --> 00:58:25,920
+---
+
+868
+00:58:25,920 --> 00:58:26,427
+------------
+
+869
+00:58:26,428 --> 00:58:26,935
+------
+
+870
+00:58:26,935 --> 00:58:27,442
+---------------
+
+871
+00:58:27,442 --> 00:58:28,964
+---
+
+872
+00:58:29,980 --> 00:58:32,009
+------
+
+873
+00:58:32,517 --> 00:58:33,024
+---------------
+
+874
+00:58:38,606 --> 00:58:42,665
+好厉害 肉棒好硬
+
+875
+00:58:43,681 --> 00:58:47,740
+肉棒跟我想的一样呢
+
+876
+00:58:47,740 --> 00:58:56,874
+---
+
+877
+00:58:56,874 --> 00:58:57,381
+6.
+
+878
+00:58:57,889 --> 00:58:58,396
+---
+
+879
+00:58:58,904 --> 00:58:59,411
+------
+
+880
+00:58:59,411 --> 00:58:59,918
+---
+
+881
+00:58:59,919 --> 00:59:00,933
+------
+
+882
+00:59:00,934 --> 00:59:01,441
+------------------
+
+883
+00:59:01,441 --> 00:59:05,500
+---
+
+884
+00:59:07,530 --> 00:59:11,082
+喜欢我的屁股吗
+
+885
+00:59:11,083 --> 00:59:11,590
+---
+
+886
+00:59:23,261 --> 00:59:23,768
+HTML
+
+887
+00:59:25,798 --> 00:59:26,305
+---
+
+888
+00:59:26,813 --> 00:59:30,365
+好舒服
+
+889
+00:59:31,888 --> 00:59:32,395
+background
+
+890
+00:59:52,693 --> 00:59:53,200
+V
+
+891
+00:59:53,200 --> 00:59:56,244
+继续
+
+892
+00:59:57,767 --> 01:00:04,364
+继续搅动我的小穴吧
+
+893
+01:00:05,379 --> 01:00:07,916
+好舒服
+
+894
+01:00:19,587 --> 01:00:23,646
+再用力舔小穴
+
+895
+01:00:34,303 --> 01:00:34,810
+Marketing
+
+896
+01:00:37,855 --> 01:00:41,407
+小穴美味吗
+
+897
+01:01:11,854 --> 01:01:12,868
+---
+
+898
+01:01:13,376 --> 01:01:13,883
+------------------
+
+899
+01:01:14,899 --> 01:01:28,599
+---
+
+900
+01:01:29,107 --> 01:01:32,151
+你躺下去吧
+
+901
+01:01:45,853 --> 01:01:50,419
+怎么样 喜欢我的小穴吗
+
+902
+01:01:50,927 --> 01:01:54,986
+很好 再用力舔一舔
+
+903
+01:01:57,524 --> 01:01:58,031
+---
+
+904
+01:02:03,613 --> 01:02:04,120
+HTML
+
+905
+01:02:07,673 --> 01:02:08,180
+------
+
+906
+01:02:09,195 --> 01:02:13,761
+和我一起工作吧
+
+907
+01:02:13,762 --> 01:02:16,806
+然后就这样子
+
+908
+01:02:16,806 --> 01:02:20,866
+舔舒服的地方
+
+909
+01:02:22,388 --> 01:02:22,895
+---
+
+910
+01:02:23,911 --> 01:02:24,925
+------------------
+
+911
+01:02:25,433 --> 01:02:32,537
+---
+
+912
+01:02:34,060 --> 01:02:36,596
+好舒服
+
+913
+01:02:37,104 --> 01:02:37,611
+---
+
+914
+01:02:41,671 --> 01:02:45,730
+太厉害了 你舌头好会舔
+
+915
+01:02:58,417 --> 01:02:58,924
+---
+
+916
+01:02:58,924 --> 01:03:01,461
+好舒服
+
+917
+01:03:01,969 --> 01:03:07,550
+---
+
+918
+01:03:10,595 --> 01:03:11,102
+------
+
+919
+01:03:11,103 --> 01:03:17,192
+---
+
+920
+01:03:17,700 --> 01:03:21,251
+想插进我的小穴里吗 想
+
+921
+01:03:21,252 --> 01:03:21,759
+想插进我的小穴里吗想
+
+922
+01:03:21,759 --> 01:03:22,774
+想插进我的小穴里吗 想
+
+923
+01:03:22,774 --> 01:03:23,281
+---
+
+924
+01:03:32,923 --> 01:03:36,475
+太舒服了
+
+925
+01:03:51,191 --> 01:03:51,698
+---
+
+926
+01:04:10,981 --> 01:04:15,548
+乳头都变得这么硬了
+
+927
+01:04:20,622 --> 01:04:21,129
+---
+
+928
+01:04:23,160 --> 01:04:26,711
+肉棒好大呀
+
+929
+01:04:39,905 --> 01:04:42,949
+硬梆梆的呢
+
+930
+01:04:44,980 --> 01:04:47,516
+再让我好好看看
+
+931
+01:04:48,024 --> 01:04:50,561
+不要再愣着了
+
+932
+01:04:54,114 --> 01:04:56,650
+过来这边
+
+933
+01:05:14,919 --> 01:05:18,978
+太厉害了 血管都清晰可见
+
+934
+01:05:23,545 --> 01:05:24,052
+___
+
+935
+01:05:24,560 --> 01:05:34,709
+---
+
+936
+01:05:34,709 --> 01:05:38,261
+好棒 你舒服吗
+
+937
+01:05:40,798 --> 01:05:41,305
+background
+
+938
+01:05:45,873 --> 01:05:50,439
+---
+
+939
+01:05:50,440 --> 01:05:50,947
+---------------
+
+940
+01:05:50,947 --> 01:05:51,962
+---
+
+941
+01:05:52,977 --> 01:05:55,006
+太爽了
+
+942
+01:06:00,589 --> 01:06:05,155
+---
+
+943
+01:06:05,156 --> 01:06:08,200
+我们也太契合了
+
+944
+01:06:12,767 --> 01:06:14,797
+---
+
+945
+01:06:29,513 --> 01:06:30,020
+HTML
+
+946
+01:06:30,528 --> 01:06:40,676
+---
+
+947
+01:06:40,677 --> 01:06:44,228
+肉棒比刚刚还要硬呢
+
+948
+01:06:51,840 --> 01:06:55,392
+我想舔肉棒了
+
+949
+01:06:56,407 --> 01:06:56,914
+。
+
+950
+01:07:03,004 --> 01:07:03,511
+P4
+
+951
+01:07:39,032 --> 01:07:47,659
+---
+
+952
+01:07:47,659 --> 01:07:48,166
+---------------
+
+953
+01:07:50,196 --> 01:07:53,748
+跟我想像中一样舒服
+
+954
+01:07:53,748 --> 01:07:54,255
+---------------
+
+955
+01:07:54,256 --> 01:08:00,345
+---
+
+956
+01:08:01,867 --> 01:08:02,374
+------
+
+957
+01:08:03,390 --> 01:08:06,434
+一直在搅动小穴
+
+958
+01:08:07,449 --> 01:08:07,956
+HTML
+
+959
+01:08:11,001 --> 01:08:14,553
+怎么样 感觉舒服吗 好舒服
+
+960
+01:08:17,598 --> 01:08:19,626
+好爽
+
+961
+01:08:21,149 --> 01:08:25,209
+不行 这里 太舒服了
+
+962
+01:08:43,478 --> 01:08:46,522
+高潮了 我高潮了
+
+963
+01:08:52,612 --> 01:08:55,656
+这根肉棒太棒了
+
+964
+01:08:57,179 --> 01:09:00,223
+摸我的奶子
+
+965
+01:09:15,447 --> 01:09:15,953
+---
+
+966
+01:09:16,461 --> 01:09:16,968
+---------------
+
+967
+01:09:18,491 --> 01:09:20,520
+---
+
+968
+01:09:22,042 --> 01:09:23,058
+------------------
+
+969
+01:09:26,609 --> 01:09:31,683
+---
+
+970
+01:09:32,700 --> 01:09:37,265
+我忍不住了 好厉害
+
+971
+01:09:37,267 --> 01:09:37,773
+我忍不住了好厉害
+
+972
+01:09:40,819 --> 01:09:44,370
+你也很兴奋呢
+
+973
+01:09:45,893 --> 01:09:52,488
+再用力抽插小穴 用力顶那里 好舒服
+
+974
+01:09:57,564 --> 01:09:58,071
+---
+
+975
+01:09:59,087 --> 01:09:59,594
+------------------
+
+976
+01:09:59,594 --> 01:10:00,101
+------
+
+977
+01:10:00,101 --> 01:10:00,607
+---
+
+978
+01:10:05,176 --> 01:10:05,683
+--- ---
+
+979
+01:10:05,683 --> 01:10:08,219
+插进小穴最里面了
+
+980
+01:10:10,758 --> 01:10:11,264
+---
+
+981
+01:10:11,265 --> 01:10:16,339
+高潮了 我高潮了
+
+982
+01:10:17,355 --> 01:10:17,861
+------
+
+983
+01:10:18,877 --> 01:10:19,384
+---
+
+984
+01:10:20,399 --> 01:10:23,442
+------
+
+985
+01:10:23,951 --> 01:10:24,458
+---
+
+986
+01:10:26,488 --> 01:10:26,995
+------
+
+987
+01:10:26,996 --> 01:10:29,025
+---
+
+988
+01:10:29,026 --> 01:10:29,532
+------------------
+
+989
+01:10:29,533 --> 01:10:31,054
+------
+
+990
+01:10:31,055 --> 01:10:31,562
+---
+
+991
+01:10:32,578 --> 01:10:33,085
+------
+
+992
+01:10:36,637 --> 01:10:38,666
+---
+
+993
+01:10:38,667 --> 01:10:41,710
+再用力抽插
+
+994
+01:10:42,219 --> 01:10:42,726
+---
+
+995
+01:10:44,756 --> 01:10:45,263
+------
+
+996
+01:10:47,294 --> 01:10:49,830
+好舒服
+
+997
+01:10:49,831 --> 01:10:50,338
+------------------
+
+998
+01:10:51,861 --> 01:10:52,367
+------
+
+999
+01:10:52,368 --> 01:10:52,875
+---
+
+1000
+01:10:52,876 --> 01:10:53,383
+------
+
+1001
+01:10:53,383 --> 01:10:53,889
+___
+
+1002
+01:10:58,965 --> 01:11:05,053
+用力抽插小穴 很好 好舒服
+
+1003
+01:11:05,562 --> 01:11:06,068
+SP
+
+1004
+01:11:08,099 --> 01:11:11,143
+要高潮了 高潮了 我高潮了
+
+1005
+01:11:16,218 --> 01:11:19,769
+你的肉棒最棒了
+
+1006
+01:11:20,785 --> 01:11:23,829
+我也会自己动起来的
+
+1007
+01:11:24,844 --> 01:11:27,888
+舒服吗 好舒服
+
+1008
+01:11:29,411 --> 01:11:31,947
+A
+
+1009
+01:11:31,949 --> 01:11:34,485
+抽插得停不下来了吗
+
+1010
+01:11:42,605 --> 01:11:47,678
+这里好舒服 用力顶这里
+
+1011
+01:11:48,694 --> 01:11:51,231
+高潮了 我高潮了
+
+1012
+01:11:58,336 --> 01:11:58,843
+图
+
+1013
+01:12:00,365 --> 01:12:03,410
+继续插进小穴
+
+1014
+01:12:06,455 --> 01:12:09,499
+---
+
+1015
+01:12:09,499 --> 01:12:14,066
+好厉害 肉棒插的好深
+
+1016
+01:12:15,081 --> 01:12:18,633
+肉棒跟我想像中一样舒服
+
+1017
+01:12:18,633 --> 01:12:20,155
+---
+
+1018
+01:12:24,215 --> 01:12:28,781
+好厉害 你看 肉棒插进小穴了
+
+1019
+01:12:29,290 --> 01:12:32,334
+好舒服
+
+1020
+01:12:35,379 --> 01:12:42,482
+好厉害 肉棒一直在搅动我的小穴
+
+1021
+01:12:42,483 --> 01:12:44,004
+---
+
+1022
+01:12:44,005 --> 01:12:46,035
+好舒服
+
+1023
+01:12:47,050 --> 01:12:47,557
+------------
+
+1024
+01:12:47,558 --> 01:12:49,587
+---
+
+1025
+01:12:50,095 --> 01:12:53,138
+好厉害 很好
+
+1026
+01:12:55,169 --> 01:12:57,705
+这里好舒服
+
+1027
+01:12:58,214 --> 01:13:00,750
+高潮了
+
+1028
+01:13:02,781 --> 01:13:03,288
+好厉害 那里 用力顶
+
+1029
+01:13:03,288 --> 01:13:03,794
+好厉害那里用力顶
+
+1030
+01:13:03,796 --> 01:13:04,303
+好厉害 那里 用力顶
+
+1031
+01:13:04,303 --> 01:13:05,317
+好厉害那里用力顶
+
+1032
+01:13:05,318 --> 01:13:05,825
+好厉害 那里 用力顶
+
+1033
+01:13:05,825 --> 01:13:06,839
+好厉害那里用力顶
+
+1034
+01:13:06,840 --> 01:13:09,884
+高潮了 我高潮了
+
+1035
+01:13:13,945 --> 01:13:20,540
+再插深一点 插深一点 好舒服 好爽
+
+1036
+01:13:32,212 --> 01:13:34,749
+肉棒插的好深
+
+1037
+01:13:47,436 --> 01:13:50,480
+总是你在动不公平
+
+1038
+01:14:02,152 --> 01:14:08,240
+看着插进小穴的样子 要插进小穴了
+
+1039
+01:14:14,838 --> 01:14:15,344
+------
+
+1040
+01:14:16,360 --> 01:14:19,404
+肉棒一直在抽插小穴
+
+1041
+01:14:20,419 --> 01:14:20,925
+---
+
+1042
+01:14:21,942 --> 01:14:24,478
+好舒服
+
+1043
+01:14:28,031 --> 01:14:30,059
+好厉害
+
+1044
+01:14:39,702 --> 01:14:42,239
+不行 高潮了 我高潮了
+
+1045
+01:14:46,806 --> 01:14:49,851
+这样搅动小穴好棒
+
+1046
+01:14:57,463 --> 01:15:03,552
+这样从下面往上顶要高潮了 好爽 真是太爽了
+
+1047
+01:15:03,552 --> 01:15:06,596
+高潮了 我高潮了
+
+1048
+01:15:12,686 --> 01:15:15,730
+这样动的话 你会累的吧 让我来动吧
+
+1049
+01:15:15,731 --> 01:15:16,237
+这样动的话你会累的吧 让我来动吧
+
+1050
+01:15:16,238 --> 01:15:17,759
+这样动的话 你会累的吧 让我来动吧
+
+1051
+01:15:17,760 --> 01:15:18,267
+这样动的话你会累的吧让我来动吧
+
+1052
+01:15:20,805 --> 01:15:25,879
+好舒服 我喜欢顶到 小穴最里面
+
+1053
+01:15:27,402 --> 01:15:29,938
+超舒服的
+
+1054
+01:15:30,447 --> 01:15:34,505
+这样就要高潮了 要高潮了 我要高潮了
+
+1055
+01:15:35,014 --> 01:15:37,549
+高潮了
+
+1056
+01:15:40,595 --> 01:15:46,683
+我的小穴怎么样 舒服吗
+
+1057
+01:15:59,878 --> 01:16:00,384
+---
+
+1058
+01:16:00,893 --> 01:16:01,400
+HTML
+
+1059
+01:16:17,131 --> 01:16:17,638
+---
+
+1060
+01:16:18,654 --> 01:16:19,161
+HTML
+
+1061
+01:16:19,668 --> 01:16:21,697
+---
+
+1062
+01:16:23,728 --> 01:16:26,772
+肉棒在小穴里面好硬
+
+1063
+01:16:27,280 --> 01:16:27,786
+---------------
+
+1064
+01:16:34,892 --> 01:16:38,951
+高潮了 我高潮了
+
+1065
+01:16:39,966 --> 01:16:45,040
+---
+
+1066
+01:16:48,593 --> 01:16:53,666
+好厉害 肉棒在里面动呢 好舒服
+
+1067
+01:16:54,175 --> 01:16:57,219
+我的唾液
+
+1068
+01:16:58,742 --> 01:17:04,322
+怎么样 美味吗 好美味
+
+1069
+01:17:05,338 --> 01:17:07,875
+好舒服
+
+1070
+01:17:10,920 --> 01:17:11,427
+---
+
+1071
+01:17:19,547 --> 01:17:22,590
+你还想跟我做爱吧
+
+1072
+01:17:25,636 --> 01:17:28,173
+好厉害
+
+1073
+01:17:33,755 --> 01:17:38,321
+高潮了 我高潮了
+
+1074
+01:17:41,874 --> 01:17:44,918
+---
+
+1075
+01:17:53,545 --> 01:17:56,081
+高潮了
+
+1076
+01:17:58,112 --> 01:17:58,619
+___
+
+1077
+01:18:03,187 --> 01:18:05,723
+你还能继续吗
+
+1078
+01:18:08,261 --> 01:18:10,798
+来这边
+
+1079
+01:18:21,962 --> 01:18:26,529
+太厉害了 肉棒一直都好硬
+
+1080
+01:18:32,111 --> 01:18:35,663
+这样呢 好舒服
+
+1081
+01:18:37,693 --> 01:18:39,722
+好厉害
+
+1082
+01:18:39,723 --> 01:18:43,273
+硬梆梆的肉棒摩擦的感觉 好舒服啊
+
+1083
+01:18:43,275 --> 01:18:43,781
+A
+
+1084
+01:18:43,782 --> 01:18:44,289
+SPH
+
+1085
+01:18:44,290 --> 01:18:44,797
+SP10+
+
+1086
+01:18:44,797 --> 01:18:45,303
+SP10-1型
+
+1087
+01:18:45,304 --> 01:18:45,811
+SPH-1专用
+
+1088
+01:18:45,812 --> 01:18:46,318
+SPIO-1 FEB
+
+1089
+01:18:46,319 --> 01:18:49,364
+不过你想插进小穴吧
+
+1090
+01:18:53,931 --> 01:18:56,468
+用力插进小穴吧
+
+1091
+01:18:57,483 --> 01:18:57,990
+------
+
+1092
+01:19:00,528 --> 01:19:03,065
+好厉害
+
+1093
+01:19:04,587 --> 01:19:05,094
+你的肉棒好厉害 太舒服了
+
+1094
+01:19:05,095 --> 01:19:05,602
+你的肉棒好厉害太舒服了
+
+1095
+01:19:05,602 --> 01:19:10,169
+你的肉棒好厉害 太舒服了
+
+1096
+01:19:13,214 --> 01:19:16,258
+真的好舒服
+
+1097
+01:19:20,318 --> 01:19:21,839
+---
+
+1098
+01:19:21,840 --> 01:19:24,884
+那里 好舒服啊
+
+1099
+01:19:25,392 --> 01:19:25,898
+------
+
+1100
+01:19:26,407 --> 01:19:29,451
+---
+
+1101
+01:19:29,452 --> 01:19:32,495
+顶到舒服的地方了
+
+1102
+01:19:33,004 --> 01:19:33,510
+---
+
+1103
+01:19:34,019 --> 01:19:37,062
+高潮了 我高潮了
+
+1104
+01:19:37,064 --> 01:19:40,107
+---
+
+1105
+01:19:42,645 --> 01:19:43,152
+NJ
+
+1106
+01:19:45,183 --> 01:19:45,690
+DAY
+
+1107
+01:19:55,839 --> 01:19:57,867
+好厉害
+
+1108
+01:20:05,988 --> 01:20:09,031
+舒服极了 不行 那里要高潮了
+
+1109
+01:20:09,032 --> 01:20:11,568
+我要高潮了
+
+1110
+01:20:12,585 --> 01:20:15,629
+别停 别停下
+
+1111
+01:20:27,808 --> 01:20:30,344
+肉棒太爽了
+
+1112
+01:20:31,867 --> 01:20:32,374
+------
+
+1113
+01:20:35,927 --> 01:20:36,433
+___
+
+1114
+01:20:48,613 --> 01:20:51,656
+舔遍我的全身上下
+
+1115
+01:20:51,658 --> 01:20:52,165
+---
+
+1116
+01:20:57,240 --> 01:20:59,776
+太舒服了
+
+1117
+01:20:59,777 --> 01:21:02,312
+---
+
+1118
+01:21:02,314 --> 01:21:04,851
+高潮了
+
+1119
+01:21:04,851 --> 01:21:05,357
+---------------
+
+1120
+01:21:05,359 --> 01:21:07,388
+---
+
+1121
+01:21:07,388 --> 01:21:09,924
+怎么样 你舒服吗
+
+1122
+01:21:16,015 --> 01:21:19,058
+不用忍着
+
+1123
+01:21:22,104 --> 01:21:24,641
+好舒服
+
+1124
+01:21:24,641 --> 01:21:25,147
+---------------
+
+1125
+01:21:25,149 --> 01:21:29,208
+---
+
+1126
+01:21:29,208 --> 01:21:31,745
+好舒服
+
+1127
+01:21:33,775 --> 01:21:36,820
+射在小穴里面吧 全都射进来
+
+1128
+01:21:36,820 --> 01:21:38,848
+射了
+
+1129
+01:21:43,924 --> 01:21:44,431
+__________________
+
+1130
+01:21:45,447 --> 01:21:47,982
+---
+
+1131
+01:21:50,014 --> 01:21:52,043
+好舒服
+
+1132
+01:21:53,058 --> 01:21:53,565
+------------------
+
+1133
+01:21:58,133 --> 01:21:58,639
+---
+
+1134
+01:22:12,848 --> 01:22:14,878
+医生
+
+1135
+01:22:16,401 --> 01:22:16,907
+10-14岁
+
+1136
+01:22:16,908 --> 01:22:17,415
+10-1期B
+
+1137
+01:22:17,415 --> 01:22:17,922
+NO.1专用
+
+1138
+01:22:17,923 --> 01:22:18,429
+PHD-手術
+
+1139
+01:22:19,445 --> 01:22:19,951
+P10一手机
+
+1140
+01:22:19,953 --> 01:22:20,460
+Pトローネ電話
+
+1141
+01:22:20,460 --> 01:22:20,967
+PHD一专用
+
+1142
+01:22:20,968 --> 01:22:21,474
+PH0一1瓶盖
+
+1143
+01:22:21,475 --> 01:22:21,982
+PHO一号馆
+
+1144
+01:22:21,982 --> 01:22:22,489
+SPHO一专用
+
+1145
+01:22:22,490 --> 01:22:22,996
+SPHO-1
+
+1146
+01:22:22,997 --> 01:22:23,504
+SPNO-1
+
+1147
+01:22:23,505 --> 01:22:24,012
+SPH
+
+1148
+01:22:24,012 --> 01:22:24,518
+SP
+
+1149
+01:22:43,295 --> 01:22:46,339
+比我想像中还要舒服
+
+1150
+01:22:47,862 --> 01:22:52,428
+那么后面你要帮忙哦
+
+1151
+01:22:52,429 --> 01:22:55,981
+好的 我很荣幸
+
+1152
+01:23:18,309 --> 01:23:20,338
+果林前辈
+
+1153
+01:23:20,338 --> 01:23:22,875
+抱歉 明明不是你上夜班
+
+1154
+01:23:22,876 --> 01:23:25,411
+感谢你的陪同
+
+1155
+01:23:27,442 --> 01:23:29,978
+不过话说回来 权藤医生说的
+
+1156
+01:23:29,980 --> 01:23:32,516
+业务到底是什么
+
+1157
+01:23:34,039 --> 01:23:34,545
+M
+
+1158
+01:23:51,292 --> 01:23:55,351
+辛苦了 还请多多指教
+
+1159
+01:24:03,471 --> 01:24:03,977
+A
+
+1160
+01:24:03,978 --> 01:24:08,036
+你在干什么 松井小姐
+
+1161
+01:24:08,038 --> 01:24:10,575
+请放开我
+
+1162
+01:24:11,590 --> 01:24:16,156
+这是新业务的培训 松井小姐
+
+1163
+01:24:18,187 --> 01:24:20,215
+北冈小姐是吧
+
+1164
+01:24:20,724 --> 01:24:23,768
+来吧 快动手
+
+1165
+01:24:27,321 --> 01:24:27,827
+---
+
+1166
+01:24:31,380 --> 01:24:33,410
+果林前辈
+
+1167
+01:24:33,410 --> 01:24:39,499
+松井小姐 请你闭嘴 好好学习
+
+1168
+01:24:42,037 --> 01:24:42,544
+---
+
+1169
+01:24:47,618 --> 01:24:52,184
+真是吵死了 北冈小姐她
+
+1170
+01:24:52,693 --> 01:24:57,767
+已经在这里3年了 早就习惯了
+
+1171
+01:25:05,379 --> 01:25:07,915
+松井小姐 请不要看
+
+1172
+01:25:11,976 --> 01:25:15,019
+为什么 这是为什么
+
+1173
+01:25:18,065 --> 01:25:22,630
+是想帮助重要的前辈吗
+
+1174
+01:25:24,154 --> 01:25:26,691
+很遗憾
+
+1175
+01:25:26,691 --> 01:25:31,258
+接下来 你也会有同样的遭遇
+
+1176
+01:25:31,258 --> 01:25:33,288
+不要
+
+1177
+01:25:41,915 --> 01:25:49,526
+---
+
+1178
+01:25:51,556 --> 01:25:54,093
+住手 不要
+
+1179
+01:26:00,690 --> 01:26:01,196
+The image is blurry and does not contain any discernible text.
+
+1180
+01:26:05,257 --> 01:26:11,346
+要怎么说才好呢 你也会遇到一样的事的
+
+1181
+01:26:19,973 --> 01:26:20,480
+A
+
+1182
+01:26:20,988 --> 01:26:24,539
+不要 不可以
+
+1183
+01:26:31,137 --> 01:26:34,181
+看看北冈小姐吧
+
+1184
+01:26:34,181 --> 01:26:39,763
+明明你都任我摆布了
+
+1185
+01:26:45,345 --> 01:26:54,478
+身体不要紧绷着
+
+1186
+01:26:54,479 --> 01:26:54,986
+不要 怎么样呀
+
+1187
+01:26:54,986 --> 01:26:55,492
+不要怎么样呀
+
+1188
+01:26:55,494 --> 01:26:59,045
+不要 怎么样呀
+
+1189
+01:27:10,717 --> 01:27:11,223
+---
+
+1190
+01:27:11,225 --> 01:27:16,299
+松井小姐 你真可爱呢
+
+1191
+01:27:18,836 --> 01:27:24,924
+不要
+
+1192
+01:27:38,119 --> 01:27:38,625
+---
+
+1193
+01:27:41,671 --> 01:27:44,208
+你很敏感呢
+
+1194
+01:27:46,238 --> 01:27:51,312
+不要 住手 别这样
+
+1195
+01:27:51,313 --> 01:27:51,820
+I
+
+1196
+01:27:53,342 --> 01:27:55,879
+安静点
+
+1197
+01:27:58,417 --> 01:28:02,476
+那个地方被摸到了
+
+1198
+01:28:04,506 --> 01:28:08,058
+看你一副好舒服的样子呢
+
+1199
+01:28:09,581 --> 01:28:11,610
+别看我了
+
+1200
+01:28:21,759 --> 01:28:24,803
+---
+
+1201
+01:28:24,804 --> 01:28:27,848
+不行 快住手
+
+1202
+01:28:27,848 --> 01:28:28,355
+---
+
+1203
+01:28:28,356 --> 01:28:28,862
+HTML
+
+1204
+01:28:30,893 --> 01:28:31,400
+background
+
+1205
+01:28:31,401 --> 01:28:34,445
+已经湿了
+
+1206
+01:28:38,505 --> 01:28:39,012
+---
+
+1207
+01:28:45,609 --> 01:28:46,116
+b.o
+
+1208
+01:29:10,474 --> 01:29:12,503
+---
+
+1209
+01:29:12,503 --> 01:29:18,085
+松井小姐的阴蒂和里面
+
+1210
+01:29:20,622 --> 01:29:23,666
+喜欢刺激哪里
+
+1211
+01:29:26,712 --> 01:29:30,263
+快回
+
+1212
+01:29:30,771 --> 01:29:36,352
+---
+
+1213
+01:29:39,398 --> 01:29:44,472
+真啰嗦 下面都这么湿了
+
+1214
+01:29:44,472 --> 01:29:48,023
+还叫什么呢
+
+1215
+01:29:48,024 --> 01:29:51,068
+---
+
+1216
+01:29:51,069 --> 01:29:51,576
+------
+
+1217
+01:29:51,576 --> 01:29:52,083
+---------------
+
+1218
+01:30:10,859 --> 01:30:11,366
+---
+
+1219
+01:30:15,934 --> 01:30:16,441
+___
+
+1220
+01:30:17,963 --> 01:30:18,469
+---
+
+1221
+01:30:22,530 --> 01:30:26,081
+放松一点 哪里舒服
+
+1222
+01:30:26,083 --> 01:30:26,589
+放松一点哪里舒服
+
+1223
+01:30:26,590 --> 01:30:27,097
+放松一点 哪里舒服
+
+1224
+01:30:34,709 --> 01:30:38,260
+---
+
+1225
+01:30:38,261 --> 01:30:41,304
+你感觉怎么样
+
+1226
+01:30:43,843 --> 01:30:46,887
+好漂亮 好可爱
+
+1227
+01:30:48,917 --> 01:30:57,544
+---
+
+1228
+01:31:01,096 --> 01:31:03,125
+真啰嗦
+
+1229
+01:31:03,126 --> 01:31:07,184
+---
+
+1230
+01:31:11,752 --> 01:31:14,797
+你不安静的话 是不会让你舒服的
+
+1231
+01:31:17,842 --> 01:31:20,885
+想继续做下去吗
+
+1232
+01:31:21,394 --> 01:31:26,468
+---
+
+1233
+01:31:28,498 --> 01:31:29,004
+------------
+
+1234
+01:31:30,020 --> 01:31:30,527
+---------------
+
+1235
+01:31:30,528 --> 01:31:31,035
+------------
+
+1236
+01:31:31,543 --> 01:31:32,049
+------
+
+1237
+01:31:35,095 --> 01:31:36,616
+---
+
+1238
+01:31:37,632 --> 01:31:41,183
+我会负起责任来教育你的
+
+1239
+01:31:41,184 --> 01:31:43,213
+没事的
+
+1240
+01:31:47,273 --> 01:31:54,884
+---
+
+1241
+01:32:29,899 --> 01:32:33,450
+住手 不要
+
+1242
+01:32:34,973 --> 01:32:35,480
+---------------
+
+1243
+01:32:36,495 --> 01:32:37,001
+background
+
+1244
+01:32:39,540 --> 01:32:44,614
+你看北冈小姐都摆出 那么羞耻的姿势了
+
+1245
+01:32:47,659 --> 01:32:48,165
+------------------
+
+1246
+01:32:48,166 --> 01:32:51,210
+因为你们会变成同样的姿势嘛
+
+1247
+01:32:58,315 --> 01:33:00,344
+保持这个姿势
+
+1248
+01:33:02,882 --> 01:33:05,419
+吵死了
+
+1249
+01:33:09,986 --> 01:33:11,508
+---
+
+1250
+01:33:11,509 --> 01:33:12,016
+------------------
+
+1251
+01:33:20,135 --> 01:33:20,642
+A
+
+1252
+01:33:35,359 --> 01:33:37,894
+真的可以吗
+
+1253
+01:33:41,448 --> 01:33:45,000
+好好教育她一番吧
+
+1254
+01:33:46,015 --> 01:33:47,029
+---
+
+1255
+01:33:47,030 --> 01:33:53,625
+松井小姐下流的样子 就让我拍下来啦
+
+1256
+01:33:56,671 --> 01:33:59,208
+这只是记录而已
+
+1257
+01:34:08,850 --> 01:34:12,401
+不放松点的话
+
+1258
+01:34:22,043 --> 01:34:25,594
+小穴好紧啊 要插进小穴了
+
+1259
+01:34:25,595 --> 01:34:30,669
+我这边也很紧呢 松井小姐
+
+1260
+01:34:33,207 --> 01:34:33,714
+HTML
+
+1261
+01:34:35,744 --> 01:34:36,250
+------
+
+1262
+01:34:36,252 --> 01:34:36,759
+---
+
+1263
+01:34:37,267 --> 01:34:40,817
+下面这么湿 很舒服吗
+
+1264
+01:34:42,848 --> 01:34:45,384
+舒服吗
+
+1265
+01:34:45,386 --> 01:34:45,893
+---------------
+
+1266
+01:34:45,893 --> 01:34:48,429
+快一点就好了
+
+1267
+01:34:48,430 --> 01:34:48,937
+---
+
+1268
+01:34:48,938 --> 01:34:49,445
+------
+
+1269
+01:34:49,445 --> 01:34:49,951
+---
+
+1270
+01:34:49,953 --> 01:34:50,460
+---------------
+
+1271
+01:34:50,460 --> 01:34:50,967
+---
+
+1272
+01:34:50,968 --> 01:34:51,474
+------
+
+1273
+01:34:51,475 --> 01:34:51,982
+---
+
+1274
+01:34:52,997 --> 01:34:53,504
+HTML
+
+1275
+01:34:53,505 --> 01:34:54,012
+------
+
+1276
+01:34:54,012 --> 01:34:56,549
+---
+
+1277
+01:34:56,549 --> 01:34:57,056
+------
+
+1278
+01:34:57,564 --> 01:35:04,161
+---
+
+1279
+01:35:04,161 --> 01:35:04,668
+HTML
+
+1280
+01:35:06,698 --> 01:35:08,727
+---
+
+1281
+01:35:09,235 --> 01:35:09,741
+Markdown:
+
+1282
+01:35:10,758 --> 01:35:11,264
+------------------
+
+1283
+01:35:11,773 --> 01:35:12,280
+---------------
+
+1284
+01:35:12,280 --> 01:35:12,786
+---
+
+1285
+01:35:12,788 --> 01:35:13,294
+------------------
+
+1286
+01:35:13,295 --> 01:35:14,308
+---
+
+1287
+01:35:14,310 --> 01:35:14,817
+HTML
+
+1288
+01:35:16,340 --> 01:35:21,414
+---
+
+1289
+01:35:22,429 --> 01:35:22,936
+------
+
+1290
+01:35:23,951 --> 01:35:32,576
+---
+
+1291
+01:35:35,115 --> 01:35:37,652
+好淫荡的味道啊
+
+1292
+01:35:40,697 --> 01:35:41,710
+---
+
+1293
+01:35:41,712 --> 01:35:42,219
+------
+
+1294
+01:35:42,219 --> 01:35:42,726
+---
+
+1295
+01:35:42,727 --> 01:35:43,741
+------
+
+1296
+01:35:43,742 --> 01:35:45,263
+---
+
+1297
+01:35:45,264 --> 01:35:46,277
+---------------
+
+1298
+01:35:46,279 --> 01:35:46,786
+------
+
+1299
+01:35:46,786 --> 01:35:48,308
+---
+
+1300
+01:35:48,309 --> 01:35:48,816
+------------------
+
+1301
+01:35:48,816 --> 01:35:49,830
+---
+
+1302
+01:35:50,338 --> 01:35:50,844
+------
+
+1303
+01:35:50,846 --> 01:35:52,875
+---
+
+1304
+01:35:52,876 --> 01:35:53,383
+------
+
+1305
+01:35:53,383 --> 01:35:55,411
+怎么样
+
+1306
+01:35:55,413 --> 01:35:55,919
+------
+
+1307
+01:35:55,920 --> 01:35:57,949
+---
+
+1308
+01:36:15,710 --> 01:36:16,217
+---------------
+
+1309
+01:36:16,725 --> 01:36:17,232
+------------
+
+1310
+01:36:17,740 --> 01:36:19,262
+------
+
+1311
+01:36:20,785 --> 01:36:22,813
+---
+
+1312
+01:36:24,337 --> 01:36:24,844
+------
+
+1313
+01:36:25,859 --> 01:36:27,888
+---
+
+1314
+01:36:27,889 --> 01:36:28,396
+------
+
+1315
+01:36:35,501 --> 01:36:38,544
+手指这么简单就进去了
+
+1316
+01:36:39,053 --> 01:36:43,111
+---
+
+1317
+01:36:43,620 --> 01:36:44,126
+------------
+
+1318
+01:36:44,127 --> 01:36:45,142
+---------------
+
+1319
+01:36:45,142 --> 01:36:46,156
+------------------
+
+1320
+01:36:46,157 --> 01:36:46,664
+------------
+
+1321
+01:36:46,664 --> 01:36:49,709
+插进小穴这么深
+
+1322
+01:36:49,709 --> 01:36:50,215
+---
+
+1323
+01:36:50,217 --> 01:36:51,231
+------------------
+
+1324
+01:36:51,231 --> 01:36:51,737
+---
+
+1325
+01:36:52,754 --> 01:36:53,260
+------------------
+
+1326
+01:36:53,769 --> 01:36:55,798
+------
+
+1327
+01:36:57,828 --> 01:36:58,843
+---
+
+1328
+01:36:58,843 --> 01:36:59,349
+------------
+
+1329
+01:36:59,350 --> 01:36:59,857
+------
+
+1330
+01:36:59,858 --> 01:37:00,365
+---
+
+1331
+01:37:00,365 --> 01:37:00,871
+------------
+
+1332
+01:37:00,873 --> 01:37:01,379
+---------------
+
+1333
+01:37:01,888 --> 01:37:20,155
+---
+
+1334
+01:37:20,156 --> 01:37:23,706
+给我看看你舒服的表情
+
+1335
+01:37:23,708 --> 01:37:28,781
+---
+
+1336
+01:37:28,782 --> 01:37:29,289
+Background
+
+1337
+01:37:44,005 --> 01:37:44,512
+---
+
+1338
+01:37:45,528 --> 01:37:46,035
+------
+
+1339
+01:37:46,543 --> 01:37:55,169
+---
+
+1340
+01:37:59,229 --> 01:38:01,764
+果然还是这边吗
+
+1341
+01:38:03,288 --> 01:38:05,825
+快把手拿开
+
+1342
+01:38:08,363 --> 01:38:08,870
+---------------
+
+1343
+01:38:09,885 --> 01:38:10,392
+---
+
+1344
+01:38:11,407 --> 01:38:11,914
+HTML
+
+1345
+01:38:12,422 --> 01:38:15,973
+---
+
+1346
+01:38:16,989 --> 01:38:19,526
+98堂[色花堂] 永久地址 489155.com
+
+1347
+01:38:19,526 --> 01:38:20,032
+98堂[色花堂]永久地址489155.com
+
+1348
+01:38:20,034 --> 01:38:29,166
+---
+
+1349
+01:38:30,183 --> 01:38:33,733
+再把腿张开一点
+
+1350
+01:38:34,750 --> 01:38:35,257
+---
+
+1351
+01:38:37,287 --> 01:38:40,330
+给我看看屁股
+
+1352
+01:39:09,256 --> 01:39:16,866
+我会把松井小姐重要的地方里流出来的汁液全部吸干的
+
+1353
+01:39:19,912 --> 01:39:20,419
+------
+
+1354
+01:39:23,464 --> 01:39:26,000
+---
+
+1355
+01:39:27,016 --> 01:39:27,522
+---------------
+
+1356
+01:39:29,046 --> 01:39:31,583
+---
+
+1357
+01:39:32,091 --> 01:39:32,598
+------
+
+1358
+01:39:36,150 --> 01:39:36,656
+---
+
+1359
+01:39:36,658 --> 01:39:38,687
+不要
+
+1360
+01:39:41,732 --> 01:39:42,239
+---
+
+1361
+01:39:45,284 --> 01:39:45,790
+---------------
+
+1362
+01:39:45,792 --> 01:39:46,299
+------------
+
+1363
+01:39:47,314 --> 01:39:56,446
+---
+
+1364
+01:39:56,955 --> 01:39:57,462
+HTML
+
+1365
+01:39:59,493 --> 01:40:00,000
+---------------
+
+1366
+01:40:01,522 --> 01:40:02,029
+---
+
+1367
+01:40:07,104 --> 01:40:07,611
+------
+
+1368
+01:40:07,612 --> 01:40:08,625
+---------------
+
+1369
+01:40:09,134 --> 01:40:10,147
+---
+
+1370
+01:40:10,149 --> 01:40:10,656
+---------------
+
+1371
+01:40:10,656 --> 01:40:11,163
+---
+
+1372
+01:40:11,671 --> 01:40:12,178
+------
+
+1373
+01:40:13,701 --> 01:40:16,745
+---
+
+1374
+01:40:18,268 --> 01:40:21,312
+差不多想要肉棒了吧
+
+1375
+01:40:21,313 --> 01:40:22,326
+---
+
+1376
+01:40:24,865 --> 01:40:27,401
+你自己插进小穴吧
+
+1377
+01:40:32,984 --> 01:40:33,491
+床
+
+1378
+01:40:38,058 --> 01:40:39,072
+1
+
+1379
+01:40:39,073 --> 01:40:39,580
+床
+
+1380
+01:40:39,581 --> 01:40:40,088
+210 康林
+
+1381
+01:40:40,088 --> 01:40:40,594
+北岳 顾月
+
+1382
+01:40:40,595 --> 01:40:41,102
+实习 黑林
+
+1383
+01:40:41,103 --> 01:40:41,610
+医补
+
+1384
+01:40:44,655 --> 01:40:50,236
+很好 就是这样 自己动起来
+
+1385
+01:40:51,252 --> 01:40:54,295
+你看腰动起来了
+
+1386
+01:40:54,296 --> 01:40:54,803
+D:0
+
+1387
+01:40:54,804 --> 01:40:55,311
+d:q
+
+1388
+01:40:57,848 --> 01:40:58,355
+DQ
+
+1389
+01:41:00,386 --> 01:41:00,893
+DQDQ
+
+1390
+01:41:02,415 --> 01:41:02,922
+DSQ
+
+1391
+01:41:09,520 --> 01:41:10,027
+---
+
+1392
+01:41:29,310 --> 01:41:31,847
+不要看
+
+1393
+01:41:39,459 --> 01:41:41,995
+你高潮了吗
+
+1394
+01:42:00,771 --> 01:42:01,277
+---------------
+
+1395
+01:42:02,801 --> 01:42:07,875
+---
+
+1396
+01:42:08,383 --> 01:42:10,919
+你给我坐起来
+
+1397
+01:42:14,472 --> 01:42:19,545
+松井小姐 这边也 要插进小穴吧
+
+1398
+01:42:19,547 --> 01:42:20,053
+4
+
+1399
+01:42:20,562 --> 01:42:21,068
+4.0
+
+1400
+01:42:24,114 --> 01:42:28,173
+怎么了 不愿意吗
+
+1401
+01:42:28,681 --> 01:42:29,187
+---
+
+1402
+01:42:29,696 --> 01:42:36,799
+偶尔和你这样 表里不一的女人做也不错
+
+1403
+01:42:38,322 --> 01:42:41,874
+我要强行插进小穴了
+
+1404
+01:42:44,411 --> 01:42:46,441
+---
+
+1405
+01:42:46,949 --> 01:42:47,455
+------------
+
+1406
+01:42:47,456 --> 01:42:49,992
+---
+
+1407
+01:42:50,501 --> 01:42:53,036
+小穴好紧
+
+1408
+01:42:54,560 --> 01:42:55,067
+---
+
+1409
+01:42:57,097 --> 01:43:00,648
+要动起来了
+
+1410
+01:43:01,664 --> 01:43:05,723
+---
+
+1411
+01:43:05,724 --> 01:43:07,753
+松井小姐
+
+1412
+01:43:07,754 --> 01:43:13,335
+意外的是被强迫动起来 你感觉还不错呢
+
+1413
+01:43:20,440 --> 01:43:20,946
+------
+
+1414
+01:43:20,947 --> 01:43:21,454
+--- ---
+
+1415
+01:43:21,455 --> 01:43:21,962
+------
+
+1416
+01:43:21,962 --> 01:43:22,469
+---------------
+
+1417
+01:43:22,470 --> 01:43:24,499
+---
+
+1418
+01:43:24,499 --> 01:43:25,005
+------------
+
+1419
+01:43:25,007 --> 01:43:26,529
+---
+
+1420
+01:43:26,529 --> 01:43:27,544
+------
+
+1421
+01:43:27,544 --> 01:43:28,050
+------------------
+
+1422
+01:43:28,051 --> 01:43:28,558
+---
+
+1423
+01:43:28,559 --> 01:43:29,066
+------
+
+1424
+01:43:29,066 --> 01:43:30,588
+---
+
+1425
+01:43:30,589 --> 01:43:34,139
+你的情况非常好呢
+
+1426
+01:43:34,141 --> 01:43:34,647
+---
+
+1427
+01:43:34,648 --> 01:43:35,155
+------------------
+
+1428
+01:43:35,156 --> 01:43:36,169
+---
+
+1429
+01:43:36,171 --> 01:43:36,678
+------
+
+1430
+01:43:36,678 --> 01:43:37,184
+------------------
+
+1431
+01:43:37,185 --> 01:43:39,722
+---
+
+1432
+01:43:39,723 --> 01:43:40,230
+---------------
+
+1433
+01:43:40,737 --> 01:43:46,826
+---
+
+1434
+01:44:01,543 --> 01:44:03,065
+---------------
+
+1435
+01:44:03,065 --> 01:44:03,571
+------------------
+
+1436
+01:44:03,572 --> 01:44:04,587
+------
+
+1437
+01:44:05,095 --> 01:44:06,108
+---------------
+
+1438
+01:44:07,632 --> 01:44:08,138
+---
+
+1439
+01:44:08,139 --> 01:44:10,675
+------------------
+
+1440
+01:44:12,199 --> 01:44:12,705
+---
+
+1441
+01:44:12,706 --> 01:44:13,213
+------------------
+
+1442
+01:44:17,273 --> 01:44:18,288
+------
+
+1443
+01:44:18,288 --> 01:44:18,794
+---
+
+1444
+01:44:19,811 --> 01:44:20,317
+------
+
+1445
+01:44:23,870 --> 01:44:34,018
+---
+
+1446
+01:44:34,019 --> 01:44:34,526
+------------------
+
+1447
+01:44:34,526 --> 01:44:37,062
+---
+
+1448
+01:44:37,571 --> 01:44:38,077
+------
+
+1449
+01:44:38,078 --> 01:44:39,093
+---
+
+1450
+01:44:39,093 --> 01:44:39,599
+------------------
+
+1451
+01:44:39,601 --> 01:44:40,107
+------------
+
+1452
+01:44:40,108 --> 01:44:44,166
+我再插深一点吧
+
+1453
+01:44:45,690 --> 01:44:46,196
+---------------
+
+1454
+01:44:46,705 --> 01:44:47,212
+---
+
+1455
+01:44:47,212 --> 01:44:47,719
+------------------
+
+1456
+01:44:47,720 --> 01:44:48,227
+---------------
+
+1457
+01:44:48,735 --> 01:44:53,300
+---
+
+1458
+01:44:53,302 --> 01:44:53,808
+------------------
+
+1459
+01:44:53,809 --> 01:44:54,316
+------
+
+1460
+01:44:54,317 --> 01:44:54,824
+------------------
+
+1461
+01:44:54,824 --> 01:44:55,330
+------
+
+1462
+01:44:55,332 --> 01:44:55,839
+---
+
+1463
+01:44:55,839 --> 01:44:56,346
+---------------
+
+1464
+01:44:56,346 --> 01:44:56,852
+------
+
+1465
+01:44:56,854 --> 01:44:58,375
+---------------
+
+1466
+01:44:58,884 --> 01:44:59,897
+------
+
+1467
+01:44:59,899 --> 01:45:00,406
+---------------
+
+1468
+01:45:00,406 --> 01:45:00,913
+---
+
+1469
+01:45:00,913 --> 01:45:02,434
+------
+
+1470
+01:45:02,436 --> 01:45:03,450
+------------------
+
+1471
+01:45:03,451 --> 01:45:03,958
+------------
+
+1472
+01:45:03,958 --> 01:45:04,464
+------
+
+1473
+01:45:04,465 --> 01:45:04,972
+------------
+
+1474
+01:45:05,480 --> 01:45:05,986
+------
+
+1475
+01:45:05,988 --> 01:45:06,495
+---------------
+
+1476
+01:45:07,003 --> 01:45:07,509
+------------
+
+1477
+01:45:08,018 --> 01:45:08,525
+------------------
+
+1478
+01:45:08,525 --> 01:45:09,031
+---
+
+1479
+01:45:09,032 --> 01:45:09,539
+------------------
+
+1480
+01:45:09,540 --> 01:45:10,047
+------
+
+1481
+01:45:10,047 --> 01:45:10,553
+--- ---
+
+1482
+01:45:10,555 --> 01:45:13,598
+---
+
+1483
+01:45:13,599 --> 01:45:14,106
+------
+
+1484
+01:45:14,107 --> 01:45:14,614
+------------------
+
+1485
+01:45:15,629 --> 01:45:18,165
+松井小姐
+
+1486
+01:45:18,166 --> 01:45:18,673
+Background
+
+1487
+01:45:20,196 --> 01:45:26,793
+因为你必须能够应对各种各样的情况呢
+
+1488
+01:45:27,808 --> 01:45:29,330
+不要 不可以
+
+1489
+01:45:29,330 --> 01:45:34,911
+泷本 这次换你来这边做吧
+
+1490
+01:45:35,419 --> 01:45:40,492
+不要 不可以过来 不要
+
+1491
+01:45:46,583 --> 01:45:49,626
+那么 会是怎样的呢
+
+1492
+01:45:52,165 --> 01:45:54,193
+把腿张开点
+
+1493
+01:45:54,195 --> 01:45:57,239
+泷本君 好久不见啦
+
+1494
+01:46:00,284 --> 01:46:02,312
+---
+
+1495
+01:46:02,314 --> 01:46:05,357
+看吧 不错吧
+
+1496
+01:46:06,881 --> 01:46:10,433
+我也要插进小穴了 不要
+
+1497
+01:46:12,970 --> 01:46:14,491
+---
+
+1498
+01:46:14,493 --> 01:46:15,000
+---------------
+
+1499
+01:46:16,015 --> 01:46:18,044
+小穴好紧 小穴好紧
+
+1500
+01:46:18,045 --> 01:46:31,237
+---
+
+1501
+01:46:31,746 --> 01:46:34,790
+你还没习惯吗
+
+1502
+01:46:35,805 --> 01:46:36,312
+---
+
+1503
+01:46:36,313 --> 01:46:38,848
+太棒了
+
+1504
+01:46:38,850 --> 01:46:40,879
+---
+
+1505
+01:46:41,387 --> 01:46:42,401
+---------------
+
+1506
+01:46:42,909 --> 01:46:43,415
+------
+
+1507
+01:46:43,417 --> 01:46:43,924
+---
+
+1508
+01:46:43,924 --> 01:46:44,431
+------
+
+1509
+01:46:44,432 --> 01:46:44,938
+------------------
+
+1510
+01:46:52,551 --> 01:46:55,088
+这表情也不错
+
+1511
+01:46:56,103 --> 01:46:56,610
+---
+
+1512
+01:46:59,147 --> 01:46:59,654
+---------------
+
+1513
+01:47:00,162 --> 01:47:00,669
+---
+
+1514
+01:47:10,819 --> 01:47:14,878
+我就让你听听抽插的声音吧
+
+1515
+01:47:21,475 --> 01:47:21,982
+background
+
+1516
+01:47:24,520 --> 01:47:25,027
+------------------
+
+1517
+01:47:25,535 --> 01:47:26,041
+---
+
+1518
+01:47:26,549 --> 01:47:27,056
+------
+
+1519
+01:47:28,072 --> 01:47:28,579
+---------------
+
+1520
+01:47:28,579 --> 01:47:29,085
+------------------
+
+1521
+01:47:29,087 --> 01:47:29,594
+---
+
+1522
+01:47:29,594 --> 01:47:30,101
+------
+
+1523
+01:47:30,101 --> 01:47:30,607
+------------------
+
+1524
+01:47:31,116 --> 01:47:31,623
+---------------
+
+1525
+01:47:42,788 --> 01:47:43,294
+background
+
+1526
+01:47:47,862 --> 01:47:48,369
+Background
+
+1527
+01:47:49,892 --> 01:47:50,398
+------
+
+1528
+01:47:51,414 --> 01:47:53,442
+泷本 那边的情况怎么样
+
+1529
+01:47:53,444 --> 01:47:53,951
+泷本那边的情况怎么样
+
+1530
+01:47:53,951 --> 01:47:54,458
+泷本 那边的情况怎么样
+
+1531
+01:47:54,459 --> 01:47:54,965
+泷本那边的情况怎么样
+
+1532
+01:47:54,966 --> 01:47:55,981
+------
+
+1533
+01:47:57,503 --> 01:48:01,054
+这样子会让我很兴奋
+
+1534
+01:48:01,563 --> 01:48:02,070
+---
+
+1535
+01:48:03,085 --> 01:48:09,174
+你看着我的眼睛 加油哦
+
+1536
+01:48:23,383 --> 01:48:25,411
+身体趴起来
+
+1537
+01:48:25,413 --> 01:48:25,919
+---
+
+1538
+01:48:26,428 --> 01:48:26,934
+------------------
+
+1539
+01:48:26,935 --> 01:48:27,442
+---------------
+
+1540
+01:48:32,009 --> 01:48:32,516
+---
+
+1541
+01:48:41,143 --> 01:48:45,202
+把头抬起来 好好看着松井小姐
+
+1542
+01:48:47,740 --> 01:48:50,277
+松井小姐
+
+1543
+01:48:51,292 --> 01:48:53,321
+不要
+
+1544
+01:48:54,844 --> 01:48:58,396
+再让你听听抽插的声音吧
+
+1545
+01:49:03,471 --> 01:49:03,977
+------
+
+1546
+01:49:04,486 --> 01:49:22,245
+---
+
+1547
+01:49:23,769 --> 01:49:26,812
+把手给我吧
+
+1548
+01:49:31,380 --> 01:49:34,424
+你看那边
+
+1549
+01:49:35,440 --> 01:49:37,977
+还是想近距离看吗
+
+1550
+01:49:43,051 --> 01:49:45,588
+要不要近距离看看
+
+1551
+01:49:53,708 --> 01:49:58,781
+跟前辈关系很好呢 互相看着对方
+
+1552
+01:50:03,349 --> 01:50:03,856
+---
+
+1553
+01:50:16,035 --> 01:50:16,541
+你要看着北冈小姐的脸 你们俩相互看看嘛
+
+1554
+01:50:16,543 --> 01:50:17,049
+你要看着北冈小姐的脸你们俩相互看看嘛
+
+1555
+01:50:17,050 --> 01:50:19,079
+你要看着北冈小姐的脸 你们俩相互看看嘛
+
+1556
+01:50:19,080 --> 01:50:19,587
+你要看着北冈小姐的脸你们俩相互看看嘛
+
+1557
+01:50:19,587 --> 01:50:20,602
+你要看着北冈小姐的脸 你们俩相互看看嘛
+
+1558
+01:50:20,602 --> 01:50:21,108
+你要看着北冈小姐的脸你们俩相互看看嘛
+
+1559
+01:50:21,617 --> 01:50:24,154
+多多关照前辈后辈
+
+1560
+01:50:24,154 --> 01:50:27,197
+你们都很舒服吧
+
+1561
+01:50:33,288 --> 01:50:33,794
+---
+
+1562
+01:50:53,078 --> 01:50:53,585
+x
+
+1563
+01:50:59,168 --> 01:50:59,674
+---
+
+1564
+01:51:01,705 --> 01:51:04,749
+松井小姐 怎么样
+
+1565
+01:51:04,750 --> 01:51:08,808
+特殊业务讲座还行吧
+
+1566
+01:51:11,346 --> 01:51:13,883
+北冈小姐也是 把你的优点教给她吧
+
+1567
+01:51:13,884 --> 01:51:14,391
+北冈小姐也是把你的优点教给她吧
+
+1568
+01:51:14,391 --> 01:51:17,434
+看来你们俩挺合得来的
+
+1569
+01:51:19,465 --> 01:51:25,553
+那么 前辈后辈就友好地站在一起吧
+
+1570
+01:51:26,570 --> 01:51:28,598
+北冈小姐
+
+1571
+01:51:28,599 --> 01:51:29,106
+在松井小姐旁边摆出一样的姿势
+
+1572
+01:51:29,107 --> 01:51:29,614
+在松井小姐旁边 摆出一样的姿势
+
+1573
+01:51:29,614 --> 01:51:30,120
+在松井小姐旁边摆出一样的姿势
+
+1574
+01:51:30,122 --> 01:51:30,629
+在松井小姐旁边 摆出一样的姿势
+
+1575
+01:51:30,629 --> 01:51:32,151
+在松井小姐旁边摆出一样的姿势
+
+1576
+01:51:32,152 --> 01:51:32,659
+在松井小姐旁边 摆出一样的姿势
+
+1577
+01:51:35,704 --> 01:51:37,732
+要好好相处
+
+1578
+01:51:49,912 --> 01:51:50,419
+background
+
+1579
+01:52:01,583 --> 01:52:04,120
+真是舒服
+
+1580
+01:52:06,150 --> 01:52:08,179
+---
+
+1581
+01:52:08,180 --> 01:52:08,687
+---------------
+
+1582
+01:52:19,851 --> 01:52:22,388
+你们俩手牵着手吧
+
+1583
+01:52:27,463 --> 01:52:27,969
+DSQ
+
+1584
+01:52:34,060 --> 01:52:34,567
+---
+
+1585
+01:52:36,597 --> 01:52:37,103
+HTML
+
+1586
+01:52:48,775 --> 01:52:50,804
+好舒服
+
+1587
+01:52:57,402 --> 01:52:59,938
+已经忍不住了
+
+1588
+01:53:04,506 --> 01:53:07,043
+感觉要射了 就在里面射吧
+
+1589
+01:53:07,043 --> 01:53:07,549
+感觉要射了就在里面射吧
+
+1590
+01:53:07,551 --> 01:53:09,580
+感觉要射了 就在里面射吧
+
+1591
+01:53:12,118 --> 01:53:12,625
+---
+
+1592
+01:53:17,700 --> 01:53:18,206
+------------
+
+1593
+01:53:18,207 --> 01:53:18,714
+---------------
+
+1594
+01:53:25,311 --> 01:53:27,340
+可以吗
+
+1595
+01:53:31,908 --> 01:53:32,415
+------------
+
+1596
+01:53:32,415 --> 01:53:34,445
+---
+
+1597
+01:53:35,460 --> 01:53:42,563
+北冈小姐 那让我先射吧
+
+1598
+01:53:42,564 --> 01:53:45,101
+不要这样
+
+1599
+01:53:49,668 --> 01:53:51,697
+要射了
+
+1600
+01:53:51,698 --> 01:53:52,205
+---
+
+1601
+01:53:53,728 --> 01:53:55,757
+射了
+
+1602
+01:54:04,384 --> 01:54:04,891
+background
+
+1603
+01:54:25,189 --> 01:54:37,875
+---
+
+1604
+01:54:40,413 --> 01:54:42,949
+我也忍不住了
+
+1605
+01:54:42,950 --> 01:54:47,516
+不要 不可以
+
+1606
+01:54:52,591 --> 01:54:53,098
+---
+
+1607
+01:55:04,263 --> 01:55:06,799
+我要射了
+
+1608
+01:55:11,367 --> 01:55:13,902
+要射了
+
+1609
+01:55:22,023 --> 01:55:29,634
+---
+
+1610
+01:55:29,635 --> 01:55:31,664
+不行了
+
+1611
+01:55:34,709 --> 01:55:37,753
+要射了 我也要射了
+
+1612
+01:55:38,261 --> 01:55:38,768
+---
+
+1613
+01:55:46,380 --> 01:55:46,887
+HTML
+
+1614
+01:55:51,455 --> 01:56:43,721
+---
+
+1615
+01:56:43,721 --> 01:56:48,794
+（出演）
+
+1616
+01:56:49,811 --> 01:56:55,898
+（北冈果林）
+
+1617
+01:56:56,915 --> 01:57:00,973
+（松井日奈子）
+
+1618
+01:57:00,974 --> 01:57:03,510
+绫野理事长
+
+1619
+01:57:04,019 --> 01:57:10,107
+（叶山小百合）
+
+1620
+01:57:10,616 --> 01:57:14,166
+理事长 这次的新来的孩子呢
+
+1621
+01:57:16,198 --> 01:57:18,227
+不错嘛
+
+1622
+01:57:19,242 --> 01:57:22,794
+就这样好好教导她吧
+
+1623
+01:57:23,809 --> 01:57:26,852
+这家医院疯了
+
+1624
+01:57:31,421 --> 01:57:33,450
+差不多准备好了
+
+1625
+01:57:33,451 --> 01:57:33,958
+还有什么吗 快点
+
+1626
+01:57:33,958 --> 01:57:34,464
+还有什么吗快点
+
+1627
+01:57:34,465 --> 01:57:37,001
+还有什么吗 快点
+
+1628
+01:57:48,674 --> 01:57:49,181
+---
+
+1629
+01:57:55,271 --> 01:57:57,807
+高潮了 我高潮了
+
+1630
+01:58:00,345 --> 01:58:03,897
+在嘴里射满
+
+1631
+01:58:09,479 --> 01:58:09,986
+---------------
+
+1632
+01:58:11,509 --> 01:58:14,045
+我可不允许你做这种事
+
+1633
+01:58:14,046 --> 01:58:16,583
+完全没教养嘛
+
+1634
+01:58:16,583 --> 01:58:19,626
+必须好好教育一番才行呢
+
+1635
+01:58:19,628 --> 01:58:21,656
+请住手吧 让理事长生气
+
+1636
+01:58:21,658 --> 01:58:23,179
+请住手吧让理事长生气
+
+1637
+01:58:23,180 --> 01:58:24,193
+请住手吧 让理事长生气
+
+1638
+01:58:26,732 --> 01:58:27,239
+---
+
+1639
+01:58:30,284 --> 01:58:31,806
+住手不要
+
+1640
+01:58:31,806 --> 01:58:32,821
+住手 不要
+
+1641
+01:58:32,821 --> 01:58:33,327
+阴蒂变大了呢
+
+1642
+01:58:33,329 --> 01:58:33,835
+98室[色花堂]永久地址489155.com阴蒂变大了呢
+
+1643
+01:58:33,836 --> 01:58:34,851
+98室[芭花堂]永久地址489155.com阴蒂变大了呢
+
+1644
+01:58:34,851 --> 01:58:35,357
+98室[巴花堂]永久地址489155.com怎么这样请住手吧
+
+1645
+01:58:35,359 --> 01:58:35,866
+98室[巴花室]永久地址 489155.com怎么这样 请住手吧
+
+1646
+01:58:35,866 --> 01:58:36,373
+98室[巴花堂]永久地址489155.com怎么这样请住手吧
+
+1647
+01:58:36,373 --> 01:58:38,402
+怎么这样 请住手吧
+
+1648
+01:58:38,403 --> 01:58:41,446
+住手 快住手啦
+
+1649
+01:58:41,448 --> 01:58:41,955
+---
+
+1650
+01:58:44,493 --> 01:58:47,536
+你也可以叫出声
+
+1651
+01:58:47,537 --> 01:58:48,044
+---
+
+1652
+01:58:49,060 --> 01:58:52,103
+腿不要合上
+
+1653
+01:58:52,104 --> 01:58:55,147
+不要过来 不要过来
+
+1654
+01:58:55,149 --> 01:58:58,192
+给我老实一点
+
+1655
+01:58:58,194 --> 01:59:00,730
+---
+
+1656
+01:59:00,731 --> 01:59:05,297
+不要想着要反抗
+
+1657
+01:59:11,387 --> 01:59:13,415
+真是久等了呢
+
+1658
+01:59:13,417 --> 01:59:16,460
+无礼的家伙玩得很开心呢
+
+1659
+01:59:35,744 --> 01:59:36,250
+---
+
+1660
+02:00:06,191 --> 02:00:09,235
+尽情射出来吧
+
+1661
+02:00:09,235 --> 02:00:09,741
+------
+
+1662
+02:00:09,743 --> 02:00:10,250
+---
+
+1663
+02:00:10,250 --> 02:00:10,757
+------------
+
+1664
+02:00:10,758 --> 02:00:11,264
+---
+
+1665
+02:00:11,265 --> 02:00:15,831
+我也要射了 不行
+
+1666
+02:00:21,414 --> 02:00:23,951
+不要道歉 果林前辈
diff --git a/tests/nodes/test_llm_filter/test_filter.py b/tests/nodes/test_llm_filter/test_filter.py
new file mode 100644
index 0000000..7d40056
--- /dev/null
+++ b/tests/nodes/test_llm_filter/test_filter.py
@@ -0,0 +1,442 @@
+"""nodes/llm_filter.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/llm_filter.py`（字幕两级过滤：确定性规则层 + LLM 分类层），
+可独立调用。规则层用例直接用真实 OCR 文本（不调模型）；LLM 层用例在 I/O
+边界 mock HTTP；集成用例使用真实 OCR 回归数据验证保留量。
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from nodes.llm_filter import (
+ CATEGORY_DIALOGUE,
+ CATEGORY_GARBAGE,
+ CATEGORY_NOISE,
+ CATEGORY_OVERLAY,
+ CATEGORY_REPEAT,
+ DEFAULT_CONTEXT_SIZE,
+ DEFAULT_MIN_KEEP_LEN,
+ DEFAULT_USE_LLM,
+ DELETE_CATEGORIES,
+ TARGET_MARK,
+ _dedup_key,
+ _load_partial,
+ _rule_verdict,
+ _should_delete,
+ invoke,
+ parse_srt,
+ serialize_srt,
+)
+from wov_sdk.models import InvokeRequest
+
+# 模块专用数据：真实任务 1666 条 OCR 输出（规则层回归基线）。
+DATA_DIR = Path(__file__).resolve().parent / "data"
+REAL_OCR_SRT = DATA_DIR / "ocr_srt_run_ac7f480a3ccb.srt"
+
+
+def _request(tmp_path: Path, srt_text: str | Path, **params) -> InvokeRequest:
+ """构造真实请求；srt_text 为字符串时落到临时文件。"""
+ if isinstance(srt_text, Path):
+ srt_path = srt_text
+ else:
+ srt_path = tmp_path / "in.srt"
+ srt_path.write_text(srt_text, encoding="utf-8")
+ return InvokeRequest(
+ run_id="run-test",
+ node_instance_id="llm-filter-1",
+ params=params,
+ inputs={"srt_uri": str(srt_path)},
+ output_dir=str(tmp_path / "out"),
+ )
+
+
+# ---------------------------------------------------------------------------
+# 规则层：确定要删的噪声
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize(
+ ("text", "reason"),
+ [
+ ("", "空文本"),
+ (" ", "纯空白"),
+ ("---", "横线装饰"),
+ ("====", "等号装饰"),
+ ("http://example.com/x", "URL"),
+ ("www.example.com", "www 网址"),
+ ("user@example.com", "邮箱"),
+ ("example.com", "裸域名"),
+ ("code", "HTML 标签"),
+ ("javascript:void(0)", "JS 片段"),
+ ("2011-11-27", "日期"),
+ ("4.0", "数值"),
+ ("SPHO-1", "水印编号"),
+ ("（出演）", "角色标注"),
+ ("a", "单 ASCII 字符"),
+ ("AB", "双 ASCII 字符"),
+ ("no text is visible", "VLM 提示回显"),
+ ],
+)
+def test_rule_layer_deletes_known_noise(text: str, reason: str) -> None:
+ """规则层对已确认的噪声模式返回 True（删除）。"""
+ # 数据：上表列出的噪声文本。
+ # 测试过程
+ verdict = _rule_verdict(text, set())
+
+ # 验证结果：明确删除。
+ assert verdict is True, f"{reason} 应被规则层删除：{text!r}"
+
+
+@pytest.mark.parametrize(
+ "text",
+ [
+ "好好教育她一番吧",
+ "腿不要合上",
+ "这家医院 为VIP患者提供了特殊服务",
+ "嗯",
+ "好",
+ "（小声）不要啊",
+ ],
+)
+def test_rule_layer_keeps_real_dialogue(text: str) -> None:
+ """真实对话（含短中文与括号语气）不被规则层删除。"""
+ # 数据：真实对话文本（含曾被我误删的样本）。
+ # 测试过程
+ verdict = _rule_verdict(text, set())
+
+ # 验证结果：返回 None（交给下游/保留），不是 True。
+ assert verdict is not True
+
+
+def test_rule_layer_honors_custom_overlay_tokens() -> None:
+ """自定义 overlay token 生效（参数可扩展水印词表，传入需小写）。
+
+ 用不含点号的词，避免与“裸域名”规则混淆。
+ """
+ # 数据：自定义水印词（中文与无点号英文各一）。
+ # 测试过程与验证结果
+ assert _rule_verdict("私人水印", {"私人水印"}) is True
+ assert _rule_verdict("私人水印", set()) is not True
+ assert _rule_verdict("mywatermark", {"mywatermark"}) is True
+
+
+def test_rule_layer_deletes_short_ascii_but_keeps_cjk() -> None:
+ """≤2 个 ASCII 字符删除，但含中文的短词保留（可能是内容）。"""
+ # 数据：ASCII 与 CJK 短词。
+ # 测试过程与验证结果
+ assert _rule_verdict("ab", set()) is True
+ assert _rule_verdict("好", set()) is not True
+
+
+# ---------------------------------------------------------------------------
+# LLM 层判定组合逻辑
+# ---------------------------------------------------------------------------
+
+
+def test_should_delete_semantics() -> None:
+ """类别 → 删除判定：garbage/overlay 必删；repeat/dialogue 必留；noise 短删长留。"""
+ # 数据：五类类别与长短文本。
+ # 测试过程与验证结果
+ assert _should_delete(CATEGORY_GARBAGE, "任意", 12) is True
+ assert _should_delete(CATEGORY_OVERLAY, "任意", 12) is True
+ assert _should_delete(CATEGORY_REPEAT, "任意", 12) is False
+ assert _should_delete(CATEGORY_DIALOGUE, "任意", 12) is False
+ assert _should_delete(CATEGORY_NOISE, "短文本", 12) is True
+ assert _should_delete(CATEGORY_NOISE, "这是一句足够长的真实对话内容", 12) is False
+ assert DELETE_CATEGORIES == {CATEGORY_GARBAGE, CATEGORY_OVERLAY, CATEGORY_NOISE}
+
+
+def test_dedup_key_ignores_whitespace_and_case() -> None:
+ """去重键忽略空白与大小写（OCR 同句带/不带空格视为同一文本）。"""
+ # 数据：带空格与不带空格的同一句话。
+ # 测试过程与验证结果
+ assert _dedup_key("可 没法胜任") == _dedup_key("可没法胜任")
+ assert _dedup_key("ABC") == _dedup_key("abc")
+
+
+def test_default_flags() -> None:
+ """默认参数：LLM 层关闭、上下文 10 条、长文本保护阈值 12。"""
+ # 数据：模块常量。
+ # 测试过程与验证结果
+ assert DEFAULT_USE_LLM is False
+ assert DEFAULT_CONTEXT_SIZE == 10
+ assert DEFAULT_MIN_KEEP_LEN == 12
+ assert TARGET_MARK == "【目标】"
+
+
+# ---------------------------------------------------------------------------
+# SRT 解析与断点存档
+# ---------------------------------------------------------------------------
+
+
+def test_parse_and_serialize_srt_round_trip() -> None:
+ """解析后序列化保留时间轴与正文，序号重排。"""
+ # 数据：两条 SRT。
+ text = "7\n00:00:01,000 --> 00:00:02,000\n甲\n\n9\n00:00:03,000 --> 00:00:04,000\n乙\n"
+
+ # 测试过程
+ entries = parse_srt(text)
+ out = serialize_srt(entries)
+
+ # 验证结果
+ assert [e["text"] for e in entries] == ["甲", "乙"]
+ assert out.startswith("1\n00:00:01,000 --> 00:00:02,000\n甲")
+ assert parse_srt(out) == [
+ {"start": "00:00:01,000", "end": "00:00:02,000", "text": "甲"},
+ {"start": "00:00:03,000", "end": "00:00:04,000", "text": "乙"},
+ ]
+
+
+def test_load_partial_reads_checkpoint(tmp_path: Path) -> None:
+ """断点存档按 index → category 读回（重跑时不重复判定）。"""
+ # 数据：一份真实格式的存档文件。
+ output_dir = tmp_path / "out"
+ output_dir.mkdir()
+ (output_dir / "filter_partial.jsonl").write_text(
+ json.dumps({"index": 3, "category": "garbage"}) + "\n"
+ + json.dumps({"index": 5, "category": "dialogue"}) + "\n",
+ encoding="utf-8",
+ )
+
+ # 测试过程
+ partial = _load_partial(output_dir)
+
+ # 验证结果
+ assert partial == {3: "garbage", 5: "dialogue"}
+
+
+def test_load_partial_ignores_corrupt_lines(tmp_path: Path) -> None:
+ """存档中的坏行被忽略（不因单行损坏丢掉全部断点）。"""
+ # 数据：一行合法 + 一行截断。
+ output_dir = tmp_path / "out"
+ output_dir.mkdir()
+ (output_dir / "filter_partial.jsonl").write_text(
+ json.dumps({"index": 1, "category": "noise"}) + "\n{broken\n",
+ encoding="utf-8",
+ )
+
+ # 测试过程
+ partial = _load_partial(output_dir)
+
+ # 验证结果
+ assert partial == {1: "noise"}
+
+
+def test_load_partial_missing_file_returns_empty(tmp_path: Path) -> None:
+ """无存档时返回空字典（首次运行）。"""
+ # 数据：空目录。
+ # 测试过程与验证结果
+ assert _load_partial(tmp_path) == {}
+
+
+# ---------------------------------------------------------------------------
+# invoke：规则层默认行为（不调 LLM）
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_rule_only_removes_noise_keeps_dialogue(tmp_path: Path) -> None:
+ """默认（use_llm=0）只跑规则层：噪声删除、真实对话保留，且不调 LLM。"""
+ # 数据：混合了噪声与真实对话的 SRT。
+ srt = (
+ "1\n00:00:01,000 --> 00:00:02,000\n---\n\n"
+ "2\n00:00:03,000 --> 00:00:04,000\n好好教育她一番吧\n\n"
+ "3\n00:00:05,000 --> 00:00:06,000\nhttp://spam.example/x\n\n"
+ "4\n00:00:07,000 --> 00:00:08,000\n腿不要合上\n"
+ )
+
+ # 测试过程
+ response = invoke(_request(tmp_path, srt))
+
+ # 验证结果：产物只保留两条真实对话，kept/removed 计数正确。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "好好教育她一番吧" in content
+ assert "腿不要合上" in content
+ assert "---" not in content
+ assert "spam.example" not in content
+ assert response.outputs["kept"] == 2
+ assert response.outputs["removed"] == 2
+
+
+def test_invoke_default_does_not_call_llm(monkeypatch, tmp_path: Path) -> None:
+ """默认关闭 LLM 层，绝不发起网络请求（零 LLM 调用）。"""
+ # 数据：全部是规则层无法判定的普通对话。
+ srt = "1\n00:00:01,000 --> 00:00:02,000\n这是一句普通对话内容\n"
+ calls: list = []
+ monkeypatch.setattr(
+ "urllib.request.urlopen",
+ lambda *a, **k: calls.append(1) or (_ for _ in ()).throw(AssertionError("不应调用网络")),
+ )
+
+ # 测试过程
+ response = invoke(_request(tmp_path, srt))
+
+ # 验证结果：成功且无网络调用。
+ assert response.status == "completed"
+ assert calls == []
+
+
+def test_invoke_use_llm_deletes_by_category(monkeypatch, tmp_path: Path) -> None:
+ """use_llm=1 时按 LLM 类别删除（overlay 删除，dialogue 保留）。"""
+ # 数据：两条待判定文本 + mock 返回不同类别。
+ srt = (
+ "1\n00:00:01,000 --> 00:00:02,000\n水印文字内容\n\n"
+ "2\n00:00:03,000 --> 00:00:04,000\n真实的对话内容\n"
+ )
+ replies = iter(["overlay", "dialogue"])
+
+ class _Resp:
+ def __init__(self, content: str) -> None:
+ self._body = json.dumps({"choices": [{"message": {"content": content}}]}).encode()
+
+ def read(self) -> bytes:
+ return self._body
+
+ def __enter__(self):
+ return self
+
+ def __exit__(self, *exc):
+ return None
+
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr("urllib.request.urlopen", lambda *a, **k: _Resp(next(replies)))
+
+ # 测试过程
+ response = invoke(_request(tmp_path, srt, use_llm=1, pool_max_workers=1))
+
+ # 验证结果：overlay 被删、dialogue 保留。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "真实的对话内容" in content
+ assert "水印文字内容" not in content
+
+
+def test_invoke_llm_long_text_protection(monkeypatch, tmp_path: Path) -> None:
+ """LLM 判 noise 时，长文本受保护不被删除。"""
+ # 数据：一条长文本，LLM 返回 noise。
+ long_text = "这是一句相当长的真实对话内容不应该被当作噪声删除掉"
+ srt = f"1\n00:00:01,000 --> 00:00:02,000\n{long_text}\n"
+
+ class _Resp:
+ def read(self) -> bytes:
+ return json.dumps({"choices": [{"message": {"content": "noise"}}]}).encode()
+
+ def __enter__(self):
+ return self
+
+ def __exit__(self, *exc):
+ return None
+
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr("urllib.request.urlopen", lambda *a, **k: _Resp())
+
+ # 测试过程
+ response = invoke(_request(tmp_path, srt, use_llm=1, pool_max_workers=1))
+
+ # 验证结果：长文本保留。
+ assert response.status == "completed"
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert long_text in content
+
+
+def test_invoke_fails_on_llm_error(monkeypatch, tmp_path: Path) -> None:
+ """LLM 持续报错时节点失败（不静默产出错误结果）。"""
+ # 数据：所有请求都失败。
+ srt = "1\n00:00:01,000 --> 00:00:02,000\n待判定文本\n"
+
+ def fake_urlopen(*a, **k):
+ raise OSError("network down")
+
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr("urllib.request.urlopen", fake_urlopen)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, srt, use_llm=1, pool_max_workers=1))
+
+ # 验证结果
+ assert response.status == "failed"
+
+
+def test_invoke_fails_without_input(tmp_path: Path) -> None:
+ """缺少 srt_uri 时失败。"""
+ # 数据：空输入。
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={}, inputs={}, output_dir=str(tmp_path)
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "srt_uri" in (response.error or "")
+
+
+def test_invoke_fails_when_input_missing(tmp_path: Path) -> None:
+ """输入文件不存在时失败。"""
+ # 数据：不存在的路径。
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={},
+ inputs={"srt_uri": str(tmp_path / "nope.srt")}, output_dir=str(tmp_path),
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "not found" in (response.error or "")
+
+
+# ---------------------------------------------------------------------------
+# 真实 OCR 数据回归（规则层）
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.integration
+def test_rule_layer_on_real_ocr_output(tmp_path: Path) -> None:
+ """真实任务 1666 条 OCR 输出：规则层产出与已确认基线一致。
+
+ 基线（2026-09 人工审查确认）：保留 863 条、删除 803 条，且不再有任何
+ 真实对话被误删（旧 LLM 层误删 73 条）。基线变动需同步 docs/decisions.md。
+ """
+ # 数据：真实任务 run_ac7f480a3ccb 的 OCR 输出。
+ if not REAL_OCR_SRT.is_file():
+ pytest.skip(f"缺少真实 OCR 回归数据 {REAL_OCR_SRT}")
+
+ # 测试过程
+ response = invoke(_request(tmp_path, REAL_OCR_SRT))
+
+ # 验证结果：成功、总数守恒、保留/删除量与基线一致。
+ assert response.status == "completed", response.error
+ kept = int(response.outputs["kept"])
+ removed = int(response.outputs["removed"])
+ assert kept + removed == 1666
+ assert (kept, removed) == (863, 803), f"规则层结果偏离基线：保留 {kept} 删除 {removed}"
+
+
+@pytest.mark.integration
+def test_rule_layer_keeps_known_real_dialogue_from_regression_set() -> None:
+ """回归数据中的已知真实对话逐条验证不被规则层删除（误删防护）。"""
+ # 数据：真实 OCR 输出中人工确认的真实对话样本。
+ if not REAL_OCR_SRT.is_file():
+ pytest.skip(f"缺少真实 OCR 回归数据 {REAL_OCR_SRT}")
+ known_dialogue = [
+ "好好教育她一番吧",
+ "腿不要合上",
+ ]
+
+ # 测试过程
+ entries = parse_srt(REAL_OCR_SRT.read_text(encoding="utf-8"))
+
+ # 验证结果：样本确实存在于数据中（防止数据被替换后测试空转）。
+ texts = [e["text"] for e in entries]
+ present = [d for d in known_dialogue if any(d in t for t in texts)]
+ assert present, "回归数据中未找到已知真实对话，请检查数据文件"
+ for text in texts:
+ if any(d in text for d in present):
+ assert _rule_verdict(text, set()) is not True, f"真实对话被误删：{text!r}"
diff --git a/tests/nodes/test_proper_nouns/__init__.py b/tests/nodes/test_proper_nouns/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_proper_nouns/test_rule.py b/tests/nodes/test_proper_nouns/test_rule.py
new file mode 100644
index 0000000..85caf63
--- /dev/null
+++ b/tests/nodes/test_proper_nouns/test_rule.py
@@ -0,0 +1,179 @@
+"""nodes/proper_nouns.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/proper_nouns.py`（专名/拟声/成人隐语提示词规则），供
+llm-translate 注入系统提示词，纯函数可独立调用。
+
+覆盖：未命中不注入、三类规则（专名/拟声/隐语）各自命中、批量文本输入、
+规则文本包含可执行的翻译指令。
+"""
+
+from __future__ import annotations
+
+import pytest
+
+from nodes.proper_nouns import (
+ ADULT_EUPHEMISMS,
+ ONOMATOPOEIA,
+ PROPER_NOUNS,
+ build_proper_noun_rule,
+)
+
+
+def test_returns_none_when_nothing_matches() -> None:
+ """普通文本未命中任何规则表时不注入（避免干扰正常翻译）。"""
+ # 数据：不含规则表词条的普通句子。
+ text = "今天天气真好。\n我们一起去散步吧。"
+
+ # 测试过程
+ rule = build_proper_noun_rule(text)
+
+ # 验证结果
+ assert rule is None
+
+
+def test_empty_input_returns_none() -> None:
+ """空文本与空列表都不注入规则。"""
+ # 数据：空字符串与空列表。
+ # 测试过程与验证结果
+ assert build_proper_noun_rule("") is None
+ assert build_proper_noun_rule([]) is None
+
+
+def test_injects_proper_noun_rule_with_advice() -> None:
+ """命中专名表时注入该词的处置建议（禁止硬译）。"""
+ # 数据：真实字幕片段，含角色专名 ジンゴ。
+ text = "クモ穴にパンパンになって ジンゴがここで味わいませんか"
+
+ # 测试过程
+ rule = build_proper_noun_rule(text)
+
+ # 验证结果：规则非空，含原词与处置说明。
+ assert rule is not None
+ assert "ジンゴ" in rule
+ assert "芒果" in rule # 说明文本中包含"禁止译作芒果"的约束
+
+
+def test_injects_person_name_rule() -> None:
+ """人名类专名命中时给出音译建议（不保留日文写法）。"""
+ # 数据：含人名 カンタくん。
+ text = "カンタくん、そこにいたの"
+
+ # 测试过程
+ rule = build_proper_noun_rule(text)
+
+ # 验证结果
+ assert rule is not None
+ assert "カンタくん" in rule
+ assert "音译" in rule
+
+
+def test_injects_onomatopoeia_rule() -> None:
+ """拟声/拟态词命中时给出按语境翻译的建议。"""
+ # 数据：含拟态词 ビクビク。
+ text = "体がビクビク震えてる"
+
+ # 测试过程
+ rule = build_proper_noun_rule(text)
+
+ # 验证结果
+ assert rule is not None
+ assert "ビクビク" in rule
+
+
+def test_injects_adult_euphemism_with_actual_meaning() -> None:
+ """成人语境隐语命中时注入"实际含义 + 应译词 + 禁止字面直译"。"""
+ # 数据：含隐语 マンゴー（实际指女性性器官）。
+ text = "そろそろマンゴーが濡れてきました"
+
+ # 测试过程
+ rule = build_proper_noun_rule(text)
+
+ # 验证结果：规则提示这是隐语并禁止字面直译。
+ assert rule is not None
+ assert "マンゴー" in rule
+ assert "隐语" in rule
+ assert "切勿按字面直译" in rule
+
+
+def test_accepts_batch_line_list() -> None:
+ """接受原文行列表（按批翻译时传入多行），跨行命中同样注入。"""
+ # 数据：命中词分散在不同行。
+ lines = ["普通的一句话", "相手がバナナをしゃぶってくれて"]
+
+ # 测试过程
+ rule = build_proper_noun_rule(lines)
+
+ # 验证结果
+ assert rule is not None
+ assert "バナナ" in rule
+
+
+def test_rule_text_covers_all_injected_tokens() -> None:
+ """多词同时命中时每条都出现在规则文本中（不丢词）。"""
+ # 数据：同时含专名、拟声、隐语各一个。
+ text = "ジンゴとビクビクとマンゴーの話"
+
+ # 测试过程
+ rule = build_proper_noun_rule(text)
+
+ # 验证结果：三个词都在规则里。
+ assert rule is not None
+ for token in ("ジンゴ", "ビクビク", "マンゴー"):
+ assert token in rule
+
+
+def test_each_rule_table_entry_is_self_consistent() -> None:
+ """规则表结构自检：每张表的每条记录字段完整，避免维护时漏字段。
+
+ 这不重复业务逻辑，而是保证数据资产（表）本身可用——新增词条时若写错
+ 结构，此处会立刻失败。
+ """
+ # 数据：三张规则表。
+ tables = (PROPER_NOUNS, ONOMATOPOEIA, ADULT_EUPHEMISMS)
+
+ # 测试过程与验证结果
+ for table in tables:
+ assert table, "规则表不应为空"
+ for token, payload in table.items():
+ assert token.strip(), "词条不能为空白"
+ assert all(str(part).strip() for part in payload), f"{token} 的说明字段不完整"
+
+
+@pytest.mark.integration
+def test_rule_matches_real_transcript_data() -> None:
+ """真实数据校准：真实日文 transcript 中含专名的片段应命中并注入规则。
+
+ 数据来源：`data/` 下真实任务的 transcript.srt（gitignored，缺失即跳过）。
+ """
+ # 数据：仓库 data/ 下真实产物的 transcript 文件。
+ import json
+ from pathlib import Path
+
+ from tests.shared.srt_entries import parse_srt_entries
+
+ workspace = Path(__file__).resolve().parents[3]
+ # 真实产物里的字幕（ASR 转录或过滤后字幕都可能含专名，两者都扫）。
+ candidates = sorted(
+ p for pattern in ("steps/asr/transcript.srt", "steps/filter/*.srt", "steps/ocr/subtitle.srt")
+ for p in (workspace / "data" / "storage").glob(f"runs/*/{pattern}")
+ if p.is_file()
+ )
+ if not candidates:
+ pytest.skip("缺少真实字幕后端产物（data/ 未保留运行产物），跳过")
+
+ # 测试过程：在真实字幕里找**实际出现的**专名（不写死某个词，
+ # 数据内容随影片变化），用它的上下文构造规则。
+ for path in candidates:
+ entries = parse_srt_entries(path.read_text(encoding="utf-8"))
+ for token in PROPER_NOUNS:
+ batch = [e["text"] for e in entries if token in e["text"]]
+ if not batch:
+ continue
+ rule = build_proper_noun_rule(batch)
+
+ # 验证结果：命中专名即注入规则，且规则可安全序列化进提示词。
+ assert rule is not None, f"真实数据含专名 {token}，应注入规则"
+ assert token in rule, f"规则应包含命中的专名 {token}"
+ assert json.dumps(rule, ensure_ascii=False)
+ return
+ pytest.skip("真实字幕中未出现规则表内的专名，跳过")
diff --git a/tests/nodes/test_srt/__init__.py b/tests/nodes/test_srt/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_srt/data/sample.reference.srt b/tests/nodes/test_srt/data/sample.reference.srt
new file mode 100644
index 0000000..c869510
--- /dev/null
+++ b/tests/nodes/test_srt/data/sample.reference.srt
@@ -0,0 +1,19 @@
+1
+00:00:00,000 --> 00:00:01,440
+---
+
+2
+00:00:01,440 --> 00:00:04,320
+SUB 001
+
+3
+00:00:05,760 --> 00:00:06,240
+---
+
+4
+00:00:06,240 --> 00:00:09,120
+SUB 002
+
+5
+00:00:09,600 --> 00:00:10,080
+---
diff --git a/tests/nodes/test_srt/test_parsing.py b/tests/nodes/test_srt/test_parsing.py
new file mode 100644
index 0000000..c442ae3
--- /dev/null
+++ b/tests/nodes/test_srt/test_parsing.py
@@ -0,0 +1,224 @@
+"""nodes/srt.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/srt.py`（SRT 条目解析与序列化），是 `llm-translate`、
+`llm-filter` 等节点的公共依赖，可独立调用也可被组合调用，因此按规则
+拥有独立的模块测试目录 `tests/nodes/test_srt/`。
+
+结构约定：每个用例先准备输入数据，再调用真实生产代码 `parse_srt` /
+`serialize_srt`，最后断言输出结果；数据为测试代码内常量或本目录 `data/`
+下的真实字幕文件，不依赖全局 conftest 与其他测试的执行顺序。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from nodes.srt import Cue, parse_srt, serialize_srt
+
+# 模块专用数据目录：真实字幕文件放在测试代码所在目录内，与其他测试区分。
+DATA_DIR = Path(__file__).resolve().parent / "data"
+
+# 真实字幕参考文件（5 条，含 `---` 装饰正文与多条连续条目）。
+SAMPLE_REFERENCE_SRT = DATA_DIR / "sample.reference.srt"
+
+
+def test_parses_single_cue() -> None:
+ """最基本的合法 SRT：一条字幕解析出时间戳与正文。"""
+ # 数据：标准格式的单条字幕。
+ text = "1\n00:00:01,000 --> 00:00:02,000\n你好\n"
+
+ # 测试过程：调用真实解析函数。
+ cues = parse_srt(text)
+
+ # 验证结果：条目数量、时间戳与正文完全一致。
+ assert cues == [Cue("00:00:01,000", "00:00:02,000", "你好")]
+
+
+def test_accepts_bom_and_crlf() -> None:
+ """兼容 Windows BOM 与 CRLF 换行（真实字幕文件常见编码形态）。"""
+ # 数据：带 BOM 且行尾为 \r\n 的 SRT。
+ text = "\ufeff1\r\n00:00:01,000 --> 00:00:02,000\r\n你好\r\n"
+
+ # 测试过程
+ cues = parse_srt(text)
+
+ # 验证结果：BOM 与 \r 不残留到正文。
+ assert cues == [Cue("00:00:01,000", "00:00:02,000", "你好")]
+
+
+def test_keeps_multiline_body() -> None:
+ """多行正文（含逗号类标点）必须完整保留内部换行。"""
+ # 数据：第二条以正文结尾（文件末尾无空行）。
+ text = (
+ "1\n00:00:01,000 --> 00:00:02,000\n第一行\n第二行\n\n"
+ "2\n00:00:03,000 --> 00:00:04,000\n末尾无空行"
+ )
+
+ # 测试过程
+ cues = parse_srt(text)
+
+ # 验证结果：两条条目、正文分别保留内部换行。
+ assert [cue.text for cue in cues] == ["第一行\n第二行", "末尾无空行"]
+
+
+def test_keeps_empty_body_with_timeline() -> None:
+ """空正文条目保留时间轴（翻译节点需要空 cue 占位对齐）。"""
+ # 数据：第一条正文为空，第二条有正文。
+ text = (
+ "1\n00:00:01,000 --> 00:00:02,000\n\n"
+ "2\n00:00:03,000 --> 00:00:04,000\n有词\n"
+ )
+
+ # 测试过程
+ cues = parse_srt(text)
+
+ # 验证结果：空正文解析为空字符串，但时间轴不被丢弃。
+ assert cues[0] == Cue("00:00:01,000", "00:00:02,000", "")
+ assert len(cues) == 2
+
+
+def test_treats_whitespace_only_body_as_empty() -> None:
+ """仅含空白的正文视为空正文，不作为正文内容写入。"""
+ # 数据：第一条正文是三个空格。
+ text = (
+ "1\n00:00:01,000 --> 00:00:02,000\n \n"
+ "2\n00:00:03,000 --> 00:00:04,000\nB\n"
+ )
+
+ # 测试过程
+ cues = parse_srt(text)
+
+ # 验证结果
+ assert [cue.text for cue in cues] == ["", "B"]
+
+
+def test_accepts_extra_spaces_around_arrow() -> None:
+ """时间戳箭头两侧多余空格不导致解析失败。"""
+ # 数据：箭头两侧各三个空格。
+ text = "1\n00:00:01,000 --> 00:00:02,000\nA\n"
+
+ # 测试过程与验证结果
+ assert parse_srt(text) == [Cue("00:00:01,000", "00:00:02,000", "A")]
+
+
+def test_accepts_arbitrary_index_numbers() -> None:
+ """序号只需是数字：真实字幕（如参考 SRT）序号可以不从 1 连续。"""
+ # 数据：序号为 7 与 16（真实参考字幕的形态）。
+ text = "7\n00:00:01,000 --> 00:00:02,000\nA\n\n16\n00:00:03,000 --> 00:00:04,000\nB\n"
+
+ # 测试过程
+ cues = parse_srt(text)
+
+ # 验证结果：序号不参与输出，只保留时间戳与正文。
+ assert cues == [Cue("00:00:01,000", "00:00:02,000", "A"), Cue("00:00:03,000", "00:00:04,000", "B")]
+
+
+def test_accepts_hours_over_99() -> None:
+ """超过两位的小时数（长视频）必须保留原样。"""
+ # 数据：小时为 100。
+ text = "1\n100:00:01,000 --> 100:00:02,000\nA\n"
+
+ # 测试过程与验证结果
+ assert parse_srt(text)[0].start == "100:00:01,000"
+
+
+def test_empty_and_blank_input_return_no_cues() -> None:
+ """空文件与仅含空行的文件都返回空列表，而不是报错。"""
+ # 数据：空字符串、纯空行两类输入。
+ # 测试过程与验证结果
+ assert parse_srt("") == []
+ assert parse_srt("\n\n\n") == []
+
+
+def test_rejects_dot_millisecond_separator() -> None:
+ """毫秒分隔符是逗号；点号（VTT 风格）必须明确报错而非静默错解析。"""
+ # 数据：时间戳使用点号。
+ text = "1\n00:00:01.000 --> 00:00:02.000\nA\n"
+
+ # 测试过程与验证结果：抛出 ValueError 并给出行号。
+ with pytest.raises(ValueError, match="timestamp"):
+ parse_srt(text)
+
+
+def test_rejects_missing_index() -> None:
+ """缺少序号行时明确报错（否则时间轴行会被当成序号）。"""
+ # 数据：直接以时间戳开头。
+ text = "00:00:01,000 --> 00:00:02,000\nA\n"
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="index"):
+ parse_srt(text)
+
+
+def test_rejects_truncated_last_entry() -> None:
+ """末尾条目只有序号、没有时间戳时明确报错。"""
+ # 数据：最后一行是孤立的序号 2。
+ text = "1\n00:00:01,000 --> 00:00:02,000\nA\n\n2\n"
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="index"):
+ parse_srt(text)
+
+
+def test_rejects_negative_timestamp() -> None:
+ """负时间戳非法，必须报错。"""
+ # 数据：起始时间为负数。
+ text = "1\n-00:00:01,000 --> 00:00:02,000\nA\n"
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError, match="timestamp"):
+ parse_srt(text)
+
+
+def test_no_blank_line_between_cues_keeps_timeline_in_body() -> None:
+ """缺少空行分隔时必须报错，而不是把下一条的时间轴吞进上一条正文。
+
+ 真实形态：`...\\nA\\n2\\n00:00:03,000 --> 00:00:04,000\\nB\\n`。
+ 当前实现会把 `2` 与时间轴行当作上一条正文，静默产出时间轴错位的字幕
+ （同 R05 类"静默错位"缺陷：解析不报错，但字幕时间与文本不对应）。
+ """
+ # 数据：两条条目之间没有空行分隔。
+ text = "1\n00:00:01,000 --> 00:00:02,000\nA\n2\n00:00:03,000 --> 00:00:04,000\nB\n"
+
+ # 测试过程与验证结果：应明确报错，不能静默吞并。
+ with pytest.raises(ValueError):
+ parse_srt(text)
+
+
+def test_serialize_renumbers_and_keeps_empty_cue() -> None:
+ """序列化按顺序重排序号，空正文条目仍保留时间轴行。"""
+ # 数据：两条条目，第二条正文为空。
+ cues = [Cue("00:00:01,000", "00:00:02,000", "A"), Cue("00:00:03,000", "00:00:04,000", "")]
+
+ # 测试过程
+ text = serialize_srt(cues)
+
+ # 验证结果：序号连续、空正文条目保留时间轴与尾随空行。
+ assert text == (
+ "1\n00:00:01,000 --> 00:00:02,000\nA\n\n"
+ "2\n00:00:03,000 --> 00:00:04,000\n\n"
+ )
+
+
+def test_serialize_empty_list_returns_empty_text() -> None:
+ """空列表序列化为空字符串（供节点写出空字幕）。"""
+ # 数据：空条目列表。
+ # 测试过程与验证结果
+ assert serialize_srt([]) == ""
+
+
+def test_round_trip_is_stable_on_real_reference_srt() -> None:
+ """真实参考字幕：解析 → 序列化 → 再解析结果完全一致（时间轴无损）。"""
+ # 数据：本模块 data/ 下的真实参考字幕（5 条，含 `---` 正文）。
+ raw = SAMPLE_REFERENCE_SRT.read_text(encoding="utf-8")
+
+ # 测试过程：解析后序列化，再解析一次。
+ first = parse_srt(raw)
+ second = parse_srt(serialize_srt(first))
+
+ # 验证结果：条目数与内容不变，且时间轴行数与源文件一致。
+ assert first == second
+ assert len(first) == sum(1 for line in raw.splitlines() if "-->" in line)
+ assert first[2].text == "---"
diff --git a/tests/nodes/test_subtitle_cleanup/__init__.py b/tests/nodes/test_subtitle_cleanup/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_subtitle_cleanup/test_cleanup.py b/tests/nodes/test_subtitle_cleanup/test_cleanup.py
new file mode 100644
index 0000000..e9e5e28
--- /dev/null
+++ b/tests/nodes/test_subtitle_cleanup/test_cleanup.py
@@ -0,0 +1,248 @@
+"""nodes/subtitle_cleanup.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/subtitle_cleanup.py`（幻觉整条删除 + 短呻吟过滤），被
+whisper（日语链路）与 llm-translate（中文链路）复用，纯函数可独立调用。
+
+每个用例构造真实 SRT 文本，调用真实清理函数，并解析输出验证时间轴与序号。
+"""
+
+from __future__ import annotations
+
+from nodes.subtitle_cleanup import (
+ DEFAULT_MOAN_MAX_CHARS,
+ HALLUCINATION_TOKENS,
+ JAPANESE_HALLUCINATION_TOKENS,
+ clean_japanese_hallucinations,
+ clean_srt_text,
+ remove_hallucination_entries,
+ remove_short_moan_entries,
+)
+from tests.shared.srt_entries import parse_srt_entries
+
+
+def _srt(*cues: tuple[str, str, str]) -> str:
+ """把 (起始, 结束, 文本) 列表拼成标准 SRT 文本，供各用例作为输入数据。"""
+ blocks = [
+ f"{i}\n{start} --> {end}\n{text}\n"
+ for i, (start, end, text) in enumerate(cues, 1)
+ ]
+ return "\n".join(blocks)
+
+
+# ---------------------------------------------------------------------------
+# 幻觉整条删除（中文词表 / 日语词表）
+# ---------------------------------------------------------------------------
+
+
+def test_removes_long_hallucination_cue_entirely() -> None:
+ """展示时长达到阈值的寒暄幻觉整条删除（时间轴不残留空 cue）。"""
+ # 数据：一条 20s 的"谢谢观看"（超过默认 15s 阈值）。
+ text = _srt(
+ ("00:00:01,000", "00:00:02,000", "真实的对话"),
+ ("00:00:03,000", "00:00:23,000", "谢谢观看"),
+ )
+
+ # 测试过程
+ cleaned = clean_srt_text(text)
+
+ # 验证结果：只剩真实对话，序号重排为 1，幻想的行完全消失。
+ entries = parse_srt_entries(cleaned)
+ assert [e["text"] for e in entries] == ["真实的对话"]
+ assert cleaned.startswith("1\n")
+ assert "谢谢观看" not in cleaned
+
+
+def test_keeps_short_hallucination_when_inside_threshold() -> None:
+ """展示时长低于阈值的相同词可能是剧情真实内容，必须保留。"""
+ # 数据：一条 2s 的"晚安"（剧情中真实互道晚安）。
+ text = _srt(("00:00:01,000", "00:00:03,000", "晚安"))
+
+ # 测试过程
+ cleaned = clean_srt_text(text)
+
+ # 验证结果：保留。
+ assert [e["text"] for e in parse_srt_entries(cleaned)] == ["晚安"]
+
+
+def test_keeps_non_hallucination_long_cue() -> None:
+ """长时但不是幻觉词的内容必须保留（只按词表删除）。"""
+ # 数据：一条 30s 的正常长台词。
+ text = _srt(("00:00:01,000", "00:00:31,000", "这是一段很长的真实独白内容"))
+
+ # 测试过程
+ cleaned = clean_srt_text(text)
+
+ # 验证结果
+ assert "这是一段很长的真实独白内容" in cleaned
+
+
+def test_threshold_boundary_is_inclusive() -> None:
+ """阈值边界按"≥ 阈值"删除（严格等于阈值即删除）。"""
+ # 数据：恰好 15s 的幻觉条目与 14.999s 的同类条目。
+ text = _srt(
+ ("00:00:00,000", "00:00:15,000", "谢谢观看"),
+ ("00:00:16,000", "00:00:30,999", "感谢观看"),
+ )
+
+ # 测试过程
+ cleaned = clean_srt_text(text, threshold_seconds=15.0)
+
+ # 验证结果：15s 的被删除，14.999s 的保留。
+ kept = [e["text"] for e in parse_srt_entries(cleaned)]
+ assert kept == ["感谢观看"]
+
+
+def test_resequences_after_middle_removal() -> None:
+ """删除中间条目后剩余条目从 1 连续编号，保持合法 SRT。"""
+ # 数据：三条，中间一条是长时幻觉。
+ text = _srt(
+ ("00:00:01,000", "00:00:02,000", "第一条"),
+ ("00:00:03,000", "00:00:25,000", "谢谢观看"),
+ ("00:00:26,000", "00:00:27,000", "第三条"),
+ )
+
+ # 测试过程
+ cleaned = clean_srt_text(text)
+
+ # 验证结果：序号连续且内容为第一、三条。
+ assert cleaned.splitlines()[0] == "1"
+ assert "\n2\n" in cleaned
+ assert [e["text"] for e in parse_srt_entries(cleaned)] == ["第一条", "第三条"]
+
+
+def test_japanese_hallucination_removed_and_short_kept() -> None:
+ """日语词表：长时"おやすみなさい"删除，短时保留。"""
+ # 数据：一条 30s 日语幻觉 + 一条 3s 同词。
+ text = _srt(
+ ("00:01:00,000", "00:01:30,000", "おやすみなさい"),
+ ("00:02:00,000", "00:02:03,000", "おやすみなさい"),
+ )
+
+ # 测试过程
+ cleaned = clean_japanese_hallucinations(text)
+
+ # 验证结果：只保留短的那条。
+ entries = parse_srt_entries(cleaned)
+ assert len(entries) == 1
+ assert entries[0]["start"] == 120.0
+
+
+def test_custom_token_list_is_honored() -> None:
+ """自定义词表生效：只删除传入词命中的条目。"""
+ # 数据：两个不同的长时条目。
+ text = _srt(
+ ("00:00:01,000", "00:00:20,000", "自定义幻觉词"),
+ ("00:00:21,000", "00:00:40,000", "谢谢观看"),
+ )
+
+ # 测试过程：只传"自定义幻觉词"。
+ cleaned = remove_hallucination_entries(text, ("自定义幻觉词",))
+
+ # 验证结果：只删除自定义词，"谢谢观看"保留。
+ assert [e["text"] for e in parse_srt_entries(cleaned)] == ["谢谢观看"]
+
+
+def test_default_tables_are_not_empty() -> None:
+ """两张默认词表都非空（防止重构时误清空导致清理失效）。"""
+ # 数据：模块导出的词表常量。
+ # 测试过程与验证结果
+ assert len(HALLUCINATION_TOKENS) > 0
+ assert len(JAPANESE_HALLUCINATION_TOKENS) > 0
+
+
+# ---------------------------------------------------------------------------
+# 短呻吟过滤（decode_full 去噪）
+# ---------------------------------------------------------------------------
+
+
+def test_removes_pure_moan_fragments() -> None:
+ """纯呻吟碎片（あ…/ん?/はぁ…）整条删除。"""
+ # 数据：三条纯呻吟与一条真实短对话。
+ text = _srt(
+ ("00:00:01,000", "00:00:02,000", "あ…"),
+ ("00:00:03,000", "00:00:04,000", "ん?"),
+ ("00:00:05,000", "00:00:06,000", "はぁ…"),
+ ("00:00:07,000", "00:00:09,000", "そこ、だめ"),
+ )
+
+ # 测试过程
+ cleaned = remove_short_moan_entries(text)
+
+ # 验证结果：只剩真实短对话。
+ assert [e["text"] for e in parse_srt_entries(cleaned)] == ["そこ、だめ"]
+
+
+def test_keeps_real_short_dialogue() -> None:
+ """含真实假名（そ/や/ね）的短对话不命中判据，必须保留。"""
+ # 数据：四条真实短对话。
+ dialog = ["そこ", "やばい", "ねえ", "やだ"]
+
+ # 测试过程
+ cleaned = remove_short_moan_entries(_srt(*[
+ (f"00:00:0{i},000", f"00:00:0{i + 1},000", text)
+ for i, text in enumerate(dialog, 1)
+ ]))
+
+ # 验证结果：全部保留。
+ assert [e["text"] for e in parse_srt_entries(cleaned)] == dialog
+
+
+def test_moan_threshold_boundary() -> None:
+ """有效假名数超过阈值（默认 3）的纯呻吟串保留，等于阈值的删除。"""
+ # 数据：3 个假名（删除）与 4 个假名（保留）。
+ text = _srt(
+ ("00:00:01,000", "00:00:02,000", "あんあ"),
+ ("00:00:03,000", "00:00:04,000", "あんあん"),
+ )
+
+ # 测试过程
+ cleaned = remove_short_moan_entries(text, max_chars=3)
+
+ # 验证结果
+ assert [e["text"] for e in parse_srt_entries(cleaned)] == ["あんあん"]
+
+
+def test_moan_default_max_chars_constant() -> None:
+ """默认阈值常量为 3（与文档约定一致，改动需同步文档）。"""
+ # 数据：模块常量。
+ # 测试过程与验证结果
+ assert DEFAULT_MOAN_MAX_CHARS == 3
+
+
+def test_moan_filter_can_be_disabled() -> None:
+ """max_chars=0 时关闭过滤，输入原样返回。"""
+ # 数据：一条纯呻吟。
+ text = _srt(("00:00:01,000", "00:00:02,000", "あ…"))
+
+ # 测试过程与验证结果
+ assert remove_short_moan_entries(text, max_chars=0) == text
+
+
+def test_moan_removal_in_middle_resequences() -> None:
+ """删除中间呻吟后剩余条目序号连续。"""
+ # 数据：真实对话、呻吟、真实对话。
+ text = _srt(
+ ("00:00:01,000", "00:00:02,000", "行くよ"),
+ ("00:00:03,000", "00:00:04,000", "ん…"),
+ ("00:00:05,000", "00:00:06,000", "だめ"),
+ )
+
+ # 测试过程
+ cleaned = remove_short_moan_entries(text)
+
+ # 验证结果
+ assert [e["text"] for e in parse_srt_entries(cleaned)] == ["行くよ", "だめ"]
+ assert "\n2\n" in cleaned
+
+
+def test_multiline_moan_entry_removed_as_one_cue() -> None:
+ """多行呻吟条目整体作为一条 cue 删除（不残留半条）。"""
+ # 数据：两行纯呻吟组成一条 cue。
+ text = "1\n00:00:01,000 --> 00:00:03,000\nあ…\nん…\n\n2\n00:00:04,000 --> 00:00:05,000\nそこ\n"
+
+ # 测试过程
+ cleaned = remove_short_moan_entries(text)
+
+ # 验证结果：只剩第二条并重编号。
+ assert [e["text"] for e in parse_srt_entries(cleaned)] == ["そこ"]
+ assert cleaned.startswith("1\n")
diff --git a/tests/nodes/test_subtitle_correction/__init__.py b/tests/nodes/test_subtitle_correction/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_subtitle_correction/test_correction.py b/tests/nodes/test_subtitle_correction/test_correction.py
new file mode 100644
index 0000000..7eee2c8
--- /dev/null
+++ b/tests/nodes/test_subtitle_correction/test_correction.py
@@ -0,0 +1,416 @@
+"""nodes/subtitle_correction.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/subtitle_correction.py`（字幕领域纠错：上下文过滤 + LLM
+推断误听词），可独立调用。网络属于允许 mock 的 I/O 边界；集成用例调用真实
+LLM 验证误听泛化能力。
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import urllib.error
+import urllib.request
+from pathlib import Path
+
+import pytest
+
+from nodes.subtitle_correction import (
+ CONTEXT_WINDOW,
+ PROPER_SESSION_WORDS,
+ _build_context,
+ _extract_target_line,
+ _is_fragment,
+ _read_srt_entries,
+ _serialize_srt,
+ _system_prompt,
+ correct_entry,
+ invoke,
+)
+from wov_sdk.models import InvokeRequest
+
+# 模块专用数据目录（真实素材缺失时相关用例跳过）。
+DATA_DIR = Path(__file__).resolve().parent / "data"
+
+
+class _FakeResponse:
+ """假 HTTP 响应：返回给定的 content 字符串。"""
+
+ def __init__(self, content: str) -> None:
+ self._payload = {
+ "choices": [{"message": {"content": content}}],
+ }
+
+ def read(self) -> bytes:
+ return json.dumps(self._payload, ensure_ascii=False).encode("utf-8")
+
+ def __enter__(self):
+ return self
+
+ def __exit__(self, *exc) -> None:
+ return None
+
+
+def _srt(*cues: tuple[float, float, str]) -> str:
+ """把 (起始秒, 结束秒, 文本) 拼成标准 SRT 文本。"""
+
+ def fmt(seconds: float) -> str:
+ hours, rest = divmod(seconds, 3600)
+ minutes, secs = divmod(rest, 60)
+ return f"{int(hours):02d}:{int(minutes):02d}:{int(secs):02d},{int(round((secs - int(secs)) * 1000)):03d}"
+
+ return "\n".join(
+ f"{i}\n{fmt(start)} --> {fmt(end)}\n{text}\n"
+ for i, (start, end, text) in enumerate(cues, 1)
+ )
+
+
+# ---------------------------------------------------------------------------
+# 碎片识别与上下文构造
+# ---------------------------------------------------------------------------
+
+
+def test_is_fragment_detects_pure_phrases() -> None:
+ """纯语气词/单字为碎片；有实义的句子不是。"""
+ # 数据：碎片与正常句子。
+ # 测试过程与验证结果
+ assert _is_fragment("あ") is True
+ assert _is_fragment("ん？") is True
+ assert _is_fragment("はい") is True
+ assert _is_fragment("") is True
+ assert _is_fragment("それじゃあ、始めましょう") is False
+
+
+def test_build_context_filters_fragments_but_keeps_target() -> None:
+ """上下文过滤语气词碎片，但目标条目始终保留并标记。"""
+ # 数据：目标条目周围有碎片与正常句。
+ entries = [
+ {"start": 100.0, "end": 101.0, "text": "あ"},
+ {"start": 101.0, "end": 104.0, "text": "それじゃあ、始めましょう"},
+ {"start": 104.0, "end": 107.0, "text": "相手がバナナをしゃぶってくれて"},
+ {"start": 107.0, "end": 108.0, "text": "ん"},
+ ]
+
+ # 测试过程：以索引 2 为目标。
+ context = _build_context(entries, 2)
+
+ # 验证结果：碎片不出现，目标带标记，正常上下文保留。
+ assert "相手がバナナをしゃぶってくれて <-- 目标" in context
+ assert "それじゃあ" in context
+ assert "あ\n" not in context and "[100.00] あ" not in context
+
+
+def test_build_context_respects_time_window() -> None:
+ """窗口外的条目不进上下文（默认 ±60 秒）。"""
+ # 数据：目标与远处条目。
+ entries = [
+ {"start": 0.0, "end": 2.0, "text": "很早之前说的话"},
+ {"start": 500.0, "end": 502.0, "text": "目标所在位置"},
+ {"start": 1000.0, "end": 1002.0, "text": "很久之后说的话"},
+ ]
+
+ # 测试过程
+ context = _build_context(entries, 1)
+
+ # 验证结果：只有目标出现。
+ assert "目标所在位置" in context
+ assert "很早之前" not in context
+ assert "很久之后" not in context
+ assert CONTEXT_WINDOW == 60
+
+
+def test_serialize_srt_round_trip() -> None:
+ """序列化输出合法 SRT（时间戳格式正确、条数一致）。"""
+ # 数据：两个条目。
+ entries = [
+ {"start": 1.0, "end": 2.5, "text": "第一句"},
+ {"start": 3.0, "end": 4.0, "text": "第二句"},
+ ]
+
+ # 测试过程
+ text = _serialize_srt(entries)
+
+ # 验证结果：序号、时间戳格式与正文。
+ assert text.startswith("1\n00:00:01,000 --> 00:00:02,500\n第一句")
+ assert "\n2\n" in text
+ assert text.count("-->") == 2
+
+
+def test_read_srt_entries_uses_shared_parser(tmp_path: Path) -> None:
+ """读取真实 SRT 文件返回带秒级时间轴的条目。"""
+ # 数据：真实文件。
+ srt_path = tmp_path / "in.srt"
+ srt_path.write_text(_srt((1.0, 2.0, "你好")), encoding="utf-8")
+
+ # 测试过程
+ entries = _read_srt_entries(srt_path)
+
+ # 验证结果
+ assert len(entries) == 1
+ assert entries[0]["text"] == "你好"
+ assert entries[0]["start"] == 1.0
+
+
+# ---------------------------------------------------------------------------
+# 提示词
+# ---------------------------------------------------------------------------
+
+
+def test_system_prompt_contains_domain_terms_and_no_mishearing_examples() -> None:
+ """系统提示词含领域词表但不含具体误听例子（避免过拟合）。"""
+ # 数据：目标语言 zh-CN。
+ # 测试过程
+ prompt = _system_prompt("zh-CN")
+
+ # 验证结果：包含领域词（如 チンポ），且要求按上下文推断而非照搬字面。
+ assert "zh-CN" in prompt
+ assert any(term in prompt for term in PROPER_SESSION_WORDS)
+ assert "不要机械照搬字面词" in prompt
+
+
+# ---------------------------------------------------------------------------
+# correct_entry / _extract_target_line
+# ---------------------------------------------------------------------------
+
+
+def test_extract_target_line_matches_by_time() -> None:
+ """按时间戳匹配目标行（容忍 LLM 输出的编号差异）。"""
+ # 数据：LLM 输出两行，目标时间 120.50。
+ content = "120.00 这是上一句\n120.50 这是目标句\n"
+
+ # 测试过程
+ target = _extract_target_line(content, 120.5)
+
+ # 验证结果
+ assert target == "这是目标句"
+
+
+def test_extract_target_line_picks_closest_timestamp() -> None:
+ """多行输出时取时间戳最接近目标的那一行（不依赖行顺序）。"""
+ # 数据：三行，中间一行最接近 120.50。
+ content = "100.00 甲\n120.40 目标句\n200.00 乙\n"
+
+ # 测试过程
+ target = _extract_target_line(content, 120.5)
+
+ # 验证结果
+ assert target == "目标句"
+
+
+def test_extract_target_line_returns_empty_without_timestamps() -> None:
+ """输出行不带时间戳前缀时无法定位目标，返回空串（不猜）。"""
+ # 数据：单行纯译文，无时间戳。
+ content = "目标译文\n"
+
+ # 测试过程与验证结果
+ assert _extract_target_line(content, 120.5) == ""
+
+
+def test_extract_target_line_ignores_unparseable_lines() -> None:
+ """无法解析时间戳的行被跳过，仍能取到最接近的可解析行。"""
+ # 数据：首行无时间戳，次行有。
+ content = "这是解释性文字\n120.50 真正的译文\n"
+
+ # 测试过程与验证结果
+ assert _extract_target_line(content, 120.5) == "真正的译文"
+
+
+def test_correct_entry_sends_context_and_returns_translation(monkeypatch) -> None:
+ """correct_entry 把目标前后上下文发给 LLM，返回目标条目译文。"""
+ # 数据：真实形态的条目列表（含误听词）。
+ entries = [
+ {"start": 100.0, "end": 103.0, "text": "気持ちいいところに当たってるね"},
+ {"start": 103.0, "end": 106.0, "text": "そろそろマンゴーが濡れてきました"},
+ ]
+ captured: dict = {}
+
+ def fake_urlopen(http_request, timeout=None):
+ captured["body"] = json.loads(http_request.data.decode("utf-8"))
+ return _FakeResponse("103.00 那里已经湿了呢\n")
+
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(urllib.request, "urlopen", fake_urlopen)
+
+ # 测试过程
+ result = correct_entry(entries[1], entries, 1, {"target_language": "zh-CN"})
+
+ # 验证结果：返回译文，且请求体带上下文与系统提示词。
+ assert result == "那里已经湿了呢"
+ body = captured["body"]
+ assert body["messages"][0]["role"] == "system"
+ assert "マンゴー" in body["messages"][1]["content"]
+
+
+def test_correct_entry_uses_default_model_when_not_configured(monkeypatch) -> None:
+ """未指定模型/环境变量时使用节点自有兜底模型（与全局 LLM_MODEL 解耦）。"""
+ # 数据：清空环境变量，捕获请求体。
+ entries = [{"start": 1.0, "end": 2.0, "text": "テスト"}]
+ captured: dict = {}
+ monkeypatch.delenv("LLM_MODEL", raising=False)
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ lambda req, timeout=None: (captured.update(json.loads(req.data.decode("utf-8"))),
+ _FakeResponse("1.00 测试"))[1],
+ )
+
+ # 测试过程
+ correct_entry(entries[0], entries, 0, {})
+
+ # 验证结果：模型名固定为节点兜底（Qwen3.6 系列，有意不跟随全局默认）。
+ assert captured["model"] == "Qwen/Qwen3.6-35B-A3B"
+
+
+def test_correct_entry_param_model_wins(monkeypatch) -> None:
+ """参数 model 优先于兜底值。"""
+ # 数据：传入自定义模型。
+ entries = [{"start": 1.0, "end": 2.0, "text": "テスト"}]
+ captured: dict = {}
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ lambda req, timeout=None: (captured.update(json.loads(req.data.decode("utf-8"))),
+ _FakeResponse("1.00 测试"))[1],
+ )
+
+ # 测试过程
+ correct_entry(entries[0], entries, 0, {"model": "自定义/纠错模型"})
+
+ # 验证结果
+ assert captured["model"] == "自定义/纠错模型"
+
+
+def test_correct_entry_returns_empty_on_network_error(monkeypatch) -> None:
+ """网络错误时返回空字符串（调用方按"未纠错"处理，不打断整节点）。"""
+ # 数据：urlopen 抛错。
+ entries = [{"start": 1.0, "end": 2.0, "text": "テスト"}]
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+
+ def fake_urlopen(*a, **k):
+ raise urllib.error.URLError("boom")
+
+ monkeypatch.setattr(urllib.request, "urlopen", fake_urlopen)
+
+ # 测试过程与验证结果
+ assert correct_entry(entries[0], entries, 0, {}) == ""
+
+
+# ---------------------------------------------------------------------------
+# invoke 全流程
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_writes_corrected_srt(monkeypatch, tmp_path: Path) -> None:
+ """invoke 读取 SRT、逐条纠错并写出 corrected.srt。"""
+ # 数据：两条字幕，LLM 每次都返回目标译文。
+ srt_path = tmp_path / "asr.srt"
+ srt_path.write_text(_srt((1.0, 2.0, "こんにちは"), (3.0, 4.0, "さようなら")), encoding="utf-8")
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+
+ def fake_urlopen(http_request, timeout=None):
+ body = json.loads(http_request.data.decode("utf-8"))
+ # 回显目标时间戳（模拟真实模型按约定格式输出）。
+ user = body["messages"][1]["content"]
+ stamp = user.split("[")[1].split("]")[0].strip()
+ return _FakeResponse(f"{stamp} 纠错后的译文\n")
+
+ monkeypatch.setattr(urllib.request, "urlopen", fake_urlopen)
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={},
+ inputs={"srt_uri": str(srt_path)}, output_dir=str(tmp_path / "out"),
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果：产物存在，时间轴保留，正文被替换。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "00:00:01,000 --> 00:00:02,000" in content
+ assert "纠错后的译文" in content
+ assert content.count("-->") == 2
+
+
+def test_invoke_keeps_original_when_correction_empty(monkeypatch, tmp_path: Path) -> None:
+ """纠错返回空时保留原始文本（不产出空字幕）。"""
+ # 数据：LLM 返回空内容。
+ srt_path = tmp_path / "asr.srt"
+ srt_path.write_text(_srt((1.0, 2.0, "原文内容")), encoding="utf-8")
+ monkeypatch.setenv("LLM_API_KEY", "sk-test")
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ lambda *a, **k: _FakeResponse(""),
+ )
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={},
+ inputs={"srt_uri": str(srt_path)}, output_dir=str(tmp_path / "out"),
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "completed"
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "原文内容" in content
+
+
+def test_invoke_fails_without_input(tmp_path: Path) -> None:
+ """缺少 srt_uri 时失败。"""
+ # 数据：空输入。
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={}, inputs={}, output_dir=str(tmp_path)
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "srt_uri" in (response.error or "")
+
+
+def test_invoke_fails_when_input_missing(tmp_path: Path) -> None:
+ """输入文件不存在时失败。"""
+ # 数据：不存在的路径。
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={},
+ inputs={"srt_uri": str(tmp_path / "nope.srt")}, output_dir=str(tmp_path),
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "not found" in (response.error or "")
+
+
+# ---------------------------------------------------------------------------
+# 真实 LLM 集成：误听泛化
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.integration
+def test_real_llm_generalizes_to_unseen_mishearing() -> None:
+ """真实 LLM 校准：未在提示词中出现的误听词也能结合上下文正确推断。"""
+ # 数据：模拟 ASR 把 チンポ/マンコ 听成 バナナ/マンゴー。
+ from tests.shared.llm_service import probe_llm_or_skip
+
+ # 先探针真实服务：不可用（无 Key / 余额 / 限流）时跳过，避免把外部
+ # 状态问题误判成"模型未泛化"（correct_entry 会把调用异常吞成空串）。
+ probe_llm_or_skip()
+ entries = [
+ {"start": 1200.0, "end": 1203.0, "text": "相手がバナナをしゃぶってくれて"},
+ {"start": 1203.0, "end": 1206.0, "text": "そろそろマンゴーが濡れてきました"},
+ {"start": 1206.0, "end": 1209.0, "text": "気持ちいいところに当たってるね"},
+ {"start": 1220.0, "end": 1224.0, "text": "もっとマンゴーを舐めてください"},
+ {"start": 1224.0, "end": 1226.0, "text": "いっぱい出してね"},
+ ]
+
+ # 测试过程：对含误听词的第二条纠错。
+ target = correct_entry(entries[1], entries, 1, {"target_language": "zh-CN"})
+
+ # 验证结果：输出体现性器官语义而非字面"芒果"。
+ flagged = [k for k in ("肉棒", "鸡巴", "阴部", "小穴", "敏感", "那里", "湿") if k in target]
+ assert flagged, f"泛化失败：模型仍字面直译，输出'{target}'"
diff --git a/tests/nodes/test_subtitle_ocr/__init__.py b/tests/nodes/test_subtitle_ocr/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_subtitle_ocr/data/frames_manifest_full.json b/tests/nodes/test_subtitle_ocr/data/frames_manifest_full.json
new file mode 100644
index 0000000..5ff7c11
--- /dev/null
+++ b/tests/nodes/test_subtitle_ocr/data/frames_manifest_full.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/tests/nodes/test_subtitle_ocr/data/ocr_frames_full.json b/tests/nodes/test_subtitle_ocr/data/ocr_frames_full.json
new file mode 100644
index 0000000..b3d5049
--- /dev/null
+++ b/tests/nodes/test_subtitle_ocr/data/ocr_frames_full.json
@@ -0,0 +1 @@
+{"1": "（淫魔病院）（新人护士的眼泪）", "2": "（淫魔病院）（新人护士的眼泪）", "3": "（淫魔病院）（新人护士的眼泪）", "4": "（淫魔病院）（新人护士的眼泪）", "5": "（淫魔病院）（新人护士的眼泪）", "6": "（淫魔病院）（新人护士的眼泪）", "7": "（淫魔病院）（新人护士的眼泪）", "8": "（淫魔病院）（新人护士的眼泪）", "9": "（淫魔病院）（新人护士的眼泪）", "10": "（淫魔病院）（新人护士的眼泪）", "11": "（淫魔病院）（新人护士的眼泪）", "12": "", "13": "", "14": "", "15": "", "16": "", "17": "", "18": "", "19": "", "20": "", "21": "", "22": "", "23": "", "24": "", "25": "", "26": "", "27": "", "28": "", "29": "", "30": "", "31": "", "32": "", "33": "", "34": "", "35": "", "36": "辛苦了 上午的检查已经OK了", "37": "辛苦了 上午的检查已经OK了", "38": "辛苦了 上午的检查已经OK了", "39": "辛苦了 上午的检查已经OK了", "40": "辛苦了 上午的检查已经OK了", "41": "辛苦了 上午的检查已经OK了", "42": "辛苦了 上午的检查已经OK了", "43": "辛苦了 上午的检查已经OK了", "44": "---", "45": "", "46": "", "47": "", "48": "", "49": "", "50": "", "51": "", "52": "", "53": "", "54": "", "55": "", "56": "", "57": "", "58": "", "59": "", "60": "", "61": "", "62": "", "63": "", "64": "谢谢你 松井小姐", "65": "谢谢你 松井小姐", "66": "谢谢你 松井小姐", "67": "谢谢你 松井小姐", "68": "还有没有什么困扰 或者奇怪的地方吗", "69": "还有没有什么困扰 或者奇怪的地方吗", "70": "还有没有什么困扰 或者奇怪的地方吗", "71": "还有没有什么困扰 或者奇怪的地方吗", "72": "还有没有什么困扰 或者奇怪的地方吗", "73": "还有没有什么困扰 或者奇怪的地方吗", "74": "还有没有什么困扰 或者奇怪的地方吗", "75": "", "76": "没问题啦", "77": "没问题啦", "78": "没问题啦", "79": "总感觉果林前辈 每次都会问这个呢", "80": "总感觉果林前辈 每次都会问这个呢", "81": "总感觉果林前辈 每次都会问这个呢", "82": "总感觉果林前辈 每次都会问这个呢", "83": "总感觉果林前辈 每次都会问这个呢", "84": "总感觉果林前辈 每次都会问这个呢", "85": "总感觉果林前辈 每次都会问这个呢", "86": "是呢 抱歉", "87": "是呢 抱歉", "88": "是呢 抱歉", "89": "是呢 抱歉", "90": "是呢 抱歉", "91": "是呢 抱歉", "92": "V", "93": "V", "94": "", "95": "", "96": "V", "97": "V", "98": "那么 松井小姐", "99": "那么 松井小姐", "100": "那么 松井小姐", "101": "那么 松井小姐", "102": "那么 松井小姐", "103": "V", "104": "V", "105": "你来我们医院也才一个月吧", "106": "你来我们医院也才一个月吧", "107": "你来我们医院也才一个月吧", "108": "你来我们医院也才一个月吧", "109": "你来我们医院也才一个月吧", "110": "你来我们医院也才一个月吧", "111": "", "112": "记得挺快嘛 没有啦", "113": "记得挺快嘛 没有啦", "114": "记得挺快嘛没有啦", "115": "记得挺快嘛 没有啦", "116": "记得挺快嘛 没有啦", "117": "记得挺快嘛 没有啦", "118": "", "119": "", "120": "", "121": "因为果林前辈教得好呀", "122": "因为果林前辈教得好呀", "123": "因为果林前辈教得好呀", "124": "因为果林前辈教得好呀", "125": "因为果林前辈教得好呀", "126": "因为果林前辈教得好呀", "127": "因为果林前辈教得好呀", "128": "因为 你和患者们 也已经完全打成一片了", "129": "因为 你和患者们 也已经完全打成一片了", "130": "因为 你和患者们 也已经完全打成一片了", "131": "因为 你和患者们 也已经完全打成一片了", "132": "因为 你和患者们 也已经完全打成一片了", "133": "因为 你和患者们 也已经完全打成一片了", "134": "因为 你和患者们 也已经完全打成一片了", "135": "因为 你和患者们 也已经完全打成一片了", "136": "医", "137": "我是北冈果林", "138": "我是北冈果林", "139": "我是北冈果林", "140": "我是北冈果林", "141": "我是北冈果林", "142": "在这家综合医院工作的护士", "143": "在这家综合医院工作的护士", "144": "在这家综合医院工作的护士", "145": "在这家综合医院工作的护士", "146": "在这家综合医院工作的护士", "147": "在这家综合医院工作的护士", "148": "在这家综合医院工作的护士", "149": "在这家综合医院工作的护士", "150": "在这家综合医院工作的护士", "151": "", "152": "她叫松井日奈子", "153": "她叫松井日奈子", "154": "她叫松井日奈子", "155": "她叫松井日奈子", "156": "她叫松井日奈子", "157": "是一个月前开始 在这间医院工作的新人护士", "158": "是一个月前开始 在这间医院工作的新人护士", "159": "是一个月前开始 在这间医院工作的新人护士", "160": "是一个月前开始 在这间医院工作的新人护士", "161": "是一个月前开始 在这间医院工作的新人护士", "162": "是一个月前开始 在这间医院工作的新人护士", "163": "是一个月前开始 在这间医院工作的新人护士", "164": "是一个月前开始 在这间医院工作的新人护士", "165": "是一个月前开始 在这间医院工作的新人护士", "166": "是一个月前开始 在这间医院工作的新人护士", "167": "", "168": "", "169": "上吧 上吧", "170": "上吧 上吧", "171": "上吧 上吧", "172": "上吧 上吧", "173": "上吧 上吧", "174": "上吧 上吧", "175": "", "176": "不行 受不了 好了 上吧", "177": "不行 受不了 好了 上吧", "178": "不行 受不了 好了 上吧", "179": "不行 受不了 好了 上吧", "180": "不行 受不了 好了 上吧", "181": "不行 受不了 好了 上吧", "182": "不行 受不了 好了 上吧", "183": "不行 受不了 好了 上吧", "184": "不行 受不了 好了 上吧", "185": "不行 受不了 好了 上吧", "186": "Cleaning", "187": "", "188": "Cleaning", "189": "清洁", "190": "", "191": "", "192": "", "193": "状态不错", "194": "状态不错", "195": "状态不错", "196": "状态不错", "197": "状态不错", "198": "请进", "199": "请进", "200": "请进", "201": "请进", "202": "请进", "203": "", "204": "---", "205": "", "206": "", "207": "", "208": "", "209": "", "210": "", "211": "HTML", "212": "早安", "213": "早安", "214": "早安", "215": "早安", "216": "早安", "217": "", "218": "", "219": "金山先生", "220": "金山先生", "221": "金山先生", "222": "昨晚你住院时我不在没能照顾到你非常抱歉", "223": "昨晚你住院时我不在没能照顾到你非常抱歉", "224": "昨晚你住院时我不在没能照顾到你非常抱歉", "225": "昨晚你住院时我不在没能照顾到你非常抱歉", "226": "昨晚你住院时我不在没能照顾到你非常抱歉", "227": "昨晚你住院时我不在没能照顾到你非常抱歉", "228": "昨晚你住院时我不在没能照顾到你非常抱歉", "229": "昨晚你住院时我不在没能照顾到你非常抱歉", "230": "昨晚你住院时我不在没能照顾到你非常抱歉", "231": "昨晚你住院时我不在没能照顾到你非常抱歉", "232": "我是医务室长权藤 请多关照", "233": "我是医务室长权藤 请多关照", "234": "我是医务室长权藤 请多关照", "235": "我是医务室长权藤 请多关照", "236": "我是医务室长权藤 请多关照", "237": "我是医务室长权藤 请多关照", "238": "我是医务室长权藤 请多关照", "239": "我是医务室长权藤 请多关照", "240": "我是医务室长权藤 请多关照", "241": "我是医务室长权藤 请多关照", "242": "我是医务室长权藤 请多关照", "243": "我是医务室长权藤 请多关照", "244": "我是医务室长权藤 请多关照", "245": "我是医务室长权藤 请多关照", "246": "这边这位是负责你的叶山", "247": "这边这位是负责你的叶山", "248": "这边这位是负责你的叶山", "249": "这边这位是负责你的叶山", "250": "这边这位是负责你的叶山", "251": "这边这位是负责你的叶山", "252": "这边这位是负责你的叶山", "253": "这边这位是负责你的叶山", "254": "这边这位是负责你的叶山", "255": "这边这位是负责你的叶山", "256": "我是外科主任叶山", "257": "我是外科主任叶山", "258": "我是外科主任叶山", "259": "我是外科主任叶山", "260": "我是外科主任叶山", "261": "我是外科主任叶山", "262": "", "263": "", "264": "", "265": "", "266": "如果有什么困难 请找她帮忙", "267": "如果有什么困难 请找她帮忙", "268": "如果有什么困难 请找她帮忙", "269": "如果有什么困难 请找她帮忙", "270": "如果有什么困难 请找她帮忙", "271": "如果有什么困难 请找她帮忙", "272": "如果有什么困难 请找她帮忙", "273": "如果有什么困难 请找她帮忙", "274": "如果有什么困难 请找她帮忙", "275": "另外 关于你希望的特别服务 我们正在准备当中", "276": "另外 关于你希望的特别服务 我们正在准备当中", "277": "另外 关于你希望的特别服务 我们正在准备当中", "278": "另外 关于你希望的特别服务 我们正在准备当中", "279": "另外 关于你希望的特别服务 我们正在准备当中", "280": "另外 关于你希望的特别服务 我们正在准备当中", "281": "另外 关于你希望的特别服务 我们正在准备当中", "282": "另外 关于你希望的特别服务 我们正在准备当中", "283": "另外 关于你希望的特别服务 我们正在准备当中", "284": "另外 关于你希望的特别服务 我们正在准备当中", "285": "另外 关于你希望的特别服务 我们正在准备当中", "286": "另外 关于你希望的特别服务 我们正在准备当中", "287": "", "288": "", "289": "拜托你们尽快 明白了", "290": "拜托你们尽快 明白了", "291": "拜托你们尽快 明白了", "292": "拜托你们尽快 明白了", "293": "拜托你们尽快 明白了", "294": "拜托你们尽快 明白了", "295": "拜托你们尽快 明白了", "296": "拜托你们尽快 明白了", "297": "拜托你们尽快 明白了", "298": "拜托你们尽快 明白了", "299": "", "300": "", "301": "", "302": "", "303": "", "304": "", "305": "我没见过你呢", "306": "我没见过你呢", "307": "我没见过你呢", "308": "我没见过你呢", "309": "我没见过你呢", "310": "我没见过你呢", "311": "我没见过你呢", "312": "", "313": "我是新来的生产员", "314": "我是新来的生产员", "315": "我是新来的生产员", "316": "我是新来的生产员", "317": "我是新来的生产员", "318": "我姓泷本 请多多指教", "319": "我姓泷本 请多多指教", "320": "我姓泷本 请多多指教", "321": "我姓泷本 请多多指教", "322": "我姓泷本 请多多指教", "323": "我姓泷本 请多多指教", "324": "我姓泷本 请多多指教", "325": "就这样", "326": "就这样", "327": "就这样", "328": "就这样", "329": "泷本先生 我有件事想拜托你", "330": "泷本先生 我有件事想拜托你", "331": "泷本先生 我有件事想拜托你", "332": "泷本先生 我有件事想拜托你", "333": "泷本先生 我有件事想拜托你", "334": "泷本先生 我有件事想拜托你", "335": "沈本先生 我有件事想拜托你", "336": "泷本先生 我有件事想拜托你", "337": "", "338": "", "339": "今天傍晚 能来手术室一趟吗", "340": "今天傍晚 能来手术室一趟吗", "341": "今天傍晚 能来手术室一趟吗", "342": "今天傍晚 能来手术室一趟吗", "343": "今天傍晚 能来手术室一趟吗", "344": "今天傍晚 能来手术室一趟吗", "345": "今天傍晚 能来手术室一趟吗", "346": "今天傍晚 能来手术室一趟吗", "347": "今天傍晚 能来手术室一趟吗", "348": "今天傍晚 能来手术室一趟吗", "349": "", "350": "", "351": "明白了 那就这样", "352": "明白了 那就这样", "353": "明白了 那就这样", "354": "明白了 那就这样", "355": "明白了 那就这样", "356": "明白了 那就这样", "357": "明白了 那就这样", "358": "明白了 那就这样", "359": "", "360": "", "361": "", "362": "", "363": "", "364": "", "365": "___", "366": "", "367": "", "368": "", "369": "", "370": "", "371": "", "372": "", "373": "", "374": "", "375": "", "376": "", "377": "", "378": "", "379": "", "380": "", "381": "", "382": "", "383": "", "384": "", "385": "", "386": "", "387": "", "388": "", "389": "", "390": "", "391": "", "392": "---------------", "393": "", "394": "", "395": "---------------", "396": "", "397": "", "398": "", "399": "", "400": "", "401": "", "402": "", "403": "", "404": "", "405": "", "406": "", "407": "", "408": "", "409": "", "410": "", "411": "北冈小姐", "412": "北冈小姐", "413": "北冈小姐", "414": "这是特别病房患者的病历表", "415": "这是特别病房患者的病历表", "416": "这是特别病房患者的病历表", "417": "这是特别病房患者的病历表", "418": "这是特别病房患者的病历表", "419": "这是特别病房患者的病历表", "420": "这是特别病房患者的病历表", "421": "这是特别病房患者的病历表", "422": "", "423": "金山先生有向我们医院捐过一笔巨款", "424": "金山先生有向我们医院捐过一笔巨款", "425": "金山先生有向我们医院 捐过一笔巨款", "426": "金山先生有向我们医院 捐过一笔巨款", "427": "金山先生有向我们医院 捐过一笔巨款", "428": "金山先生有向我们医院捐过一笔巨款", "429": "金山先生有向我们医院捐过一笔巨款", "430": "金山先生有向我们医院捐过一笔巨款", "431": "金山先生有向我们医院捐过一笔巨款", "432": "非常多的金额 你们别疏忽了", "433": "非常多的金额 你们别疏忽了", "434": "非常多的金额 你们别疏忽了", "435": "非常多的金额 你们别疏忽了", "436": "非常多的金额 你们别疏忽了", "437": "非常多的金额 你们别疏忽了", "438": "非常多的金额 你们别疏忽了", "439": "非常多的金额 你们别疏忽了", "440": "是明白了", "441": "是 明白了", "442": "是明白了", "443": "是明白了", "444": "是明白了", "445": "", "446": "", "447": "", "448": "", "449": "", "450": "", "451": "", "452": "", "453": "松井小姐 在", "454": "松井小姐 在", "455": "松井小姐 在", "456": "松井小姐 在", "457": "你来这边还没多久吧 是的", "458": "你来这边还没多久吧 是的", "459": "你来这边还没多久吧 是的", "460": "你来这边还没多久吧是的", "461": "你来这边还没多久吧 是的", "462": "你来这边还没多久吧 是的", "463": "你来这边还没多久吧 是的", "464": "你来这边还没多久吧 是的", "465": "你来这边还没多久吧 是的", "466": "你来这边还没多久吧 是的", "467": "你来这边还没多久吧 是的", "468": "", "469": "", "470": "我想指导你新的工作内容", "471": "我想指导你新的工作内容", "472": "我想指导你新的工作内容", "473": "我想指导你新的工作内容", "474": "我想指导你新的工作内容", "475": "我想指导你新的工作内容", "476": "我想指导你新的工作内容", "477": "我想指导你新的工作内容", "478": "不是护理", "479": "不是护理", "480": "不是护理", "481": "不是护理", "482": "而是我主导的属于我的特殊业务", "483": "而是我主导的属于我的特殊业务", "484": "而是我主导的属于我的特殊业务", "485": "而是我主导的 属于我的特殊业务", "486": "而是我主导的 属于我的特殊业务", "487": "而是我主导的属于我的特殊业务", "488": "而是我主导的 属于我的特殊业务", "489": "而是我主导的 属于我的特殊业务", "490": "而是我主导的属于我的特殊业务", "491": "而是我主导的 属于我的特殊业务", "492": "而是我主导的 属于我的特殊业务", "493": "下次夜班是什么时候呢", "494": "下次夜班是什么时候呢", "495": "下次夜班是什么时候呢", "496": "下次夜班是什么时候呢", "497": "下次夜班是什么时候呢", "498": "下次夜班是什么时候呢", "499": "", "500": "是的 明天就是了", "501": "是的 明天就是了", "502": "是的 明天就是了", "503": "是的 明天就是了", "504": "是的 明天就是了", "505": "是的 明天就是了", "506": "图", "507": "那么明天晚上十点", "508": "那么明天晚上十点", "509": "那么明天晚上十点", "510": "那么明天晚上十点", "511": "那么明天晚上十点", "512": "那么明天晚上十点", "513": "你能来空病房209号室吗", "514": "你能来空病房209号室吗", "515": "你能来空病房209号室吗", "516": "你能来空病房209号室吗", "517": "你能来空病房209号室吗", "518": "你能来空病房209号室吗", "519": "你能来空病房209号室吗", "520": "你能来空病房209号室吗", "521": "你能来空病房209号室吗", "522": "你能来空病房209号室吗", "523": "我明白了", "524": "我明白了", "525": "我明白了", "526": "我明白了", "527": "我明白了", "528": "", "529": "留言", "530": "北冈小姐", "531": "北冈小姐", "532": "北冈小姐", "533": "北冈小姐", "534": "你也作为她的指导员 一起参加吧", "535": "你也作为她的指导员 一起参加吧", "536": "你也作为她的指导员 一起参加吧", "537": "你也作为她的指导员 一起参加吧", "538": "你也作为她的指导员 一起参加吧", "539": "你也作为她的指导员 一起参加吧", "540": "你也作为她的指导员 一起参加吧", "541": "你也作为她的指导员 一起参加吧", "542": "你也作为她的指导员 一起参加吧", "543": "你也作为她的指导员 一起参加吧", "544": "你也作为她的指导员 一起参加吧", "545": "你也作为她的指导员 一起参加吧", "546": "维森 健康", "547": "歹史融合刑務", "548": "我知道了", "549": "我知道了", "550": "我知道了", "551": "我知道了", "552": "我知道了", "553": "天文教研小组", "554": "爱尔联合机构", "555": "", "556": "", "557": "", "558": "___", "559": "---", "560": "", "561": "---", "562": "---", "563": "", "564": "---", "565": "---", "566": "", "567": "", "568": "---", "569": "", "570": "HTML", "571": "HTML", "572": "HTML", "573": "HTML", "574": "HTML", "575": "HTML", "576": "HTML", "577": "HTML", "578": "", "579": "--- ---", "580": "------", "581": "", "582": "那个", "583": "那个", "584": "那个", "585": "那个", "586": "那个", "587": "桐谷先生还在头痛 需要医生开药", "588": "桐谷先生还在头痛 需要医生开药", "589": "桐谷先生还在头痛 需要医生开药", "590": "桐谷先生还在头痛 需要医生开药", "591": "桐谷先生还在头痛 需要医生开药", "592": "桐谷先生还在头痛 需要医生开药", "593": "桐谷先生还在头痛 需要医生开药", "594": "桐谷先生还在头痛 需要医生开药", "595": "桐谷先生还在头痛 需要医生开药", "596": "桐谷先生还在头痛 需要医生开药", "597": "桐谷先生还在头痛 需要医生开药", "598": "桐谷先生还在头痛 需要医生开药", "599": "桐谷先生还在头痛 需要医生开药", "600": "桐谷先生还在头痛 需要医生开药", "601": "桐谷先生还在头痛 需要医生开药", "602": "让你久等了 北冈小姐", "603": "让你久等了 北冈小姐", "604": "让你久等了 北冈小姐", "605": "让你久等了 北冈小姐", "606": "让你久等了 北冈小姐", "607": "让你久等了 北冈小姐", "608": "让你久等了 北冈小姐", "609": "", "610": "", "611": "不会", "612": "不会", "613": "能让权藤医生亲自指导我 这可是千载难逢的机会", "614": "能让权藤医生亲自指导我 这可是千载难逢的机会", "615": "能让权藤医生亲自指导我 这可是千载难逢的机会", "616": "能让权藤医生亲自指导我 这可是千载难逢的机会", "617": "能让权藤医生亲自指导我 这可是千载难逢的机会", "618": "能让权藤医生亲自指导我 这可是千载难逢的机会", "619": "能让权藤医生亲自指导我 这可是千载难逢的机会", "620": "能让权藤医生亲自指导我 这可是千载难逢的机会", "621": "完全不觉得麻烦", "622": "完全不觉得麻烦", "623": "完全不觉得麻烦", "624": "完全不觉得麻烦", "625": "你说的指导是", "626": "你说的指导是", "627": "你说的指导是", "628": "你说的指导是", "629": "你说的指导是", "630": "你说的指导是", "631": "", "632": "", "633": "", "634": "", "635": "", "636": "", "637": "", "638": "", "639": "", "640": "", "641": "", "642": "", "643": "", "644": "", "645": "请不要这样 不要", "646": "请不要这样 不要", "647": "请不要这样 不要", "648": "请不要这样 不要", "649": "请不要这样 不要", "650": "请不要这样 不要", "651": "请不要这样 不要", "652": "请不要这样 不要", "653": "请不要这样 不要", "654": "请不要这样 不要", "655": "请不要这样 不要", "656": "请不要这样 不要", "657": "", "658": "", "659": "", "660": "请住手", "661": "请住手", "662": "请住手", "663": "请住手", "664": "请住手", "665": "", "666": "", "667": "", "668": "", "669": "", "670": "", "671": "", "672": "", "673": "", "674": "", "675": "等一下 你在做什么", "676": "等一下 你在做什么", "677": "等一下 你在做什么", "678": "等一下 你在做什么", "679": "等一下 你在做什么", "680": "等一下 你在做什么", "681": "等一下 你在做什么", "682": "请住手 等一下 你干什么", "683": "请住手 等一下 你干什么", "684": "请住手 等一下 你干什么", "685": "请住手 等一下 你干什么", "686": "请住手 等一下 你干什么", "687": "请住手 等一下 你干什么", "688": "请住手 等一下 你干什么", "689": "请住手 等一下 你干什么", "690": "请住手 等一下 你干什么", "691": "请住手 等一下 你干什么", "692": "请住手 等一下 你干什么", "693": "---", "694": "", "695": "---", "696": "", "697": "", "698": "", "699": "", "700": "", "701": "好痛 北冈小姐", "702": "好痛 北冈小姐", "703": "好痛 北冈小姐", "704": "好痛 北冈小姐", "705": "好痛 北冈小姐", "706": "好痛 北冈小姐", "707": "好痛 北冈小姐", "708": "好痛 北冈小姐", "709": "好痛 北冈小姐", "710": "好痛 北冈小姐", "711": "你对我做这种事", "712": "你对我做这种事", "713": "你对我做这种事", "714": "你对我做这种事", "715": "你对我做这种事", "716": "你对我做这种事", "717": "你对我做这种事", "718": "你对我做这种事", "719": "你对我做这种事", "720": "你对我做这种事", "721": "你对我做这种事", "722": "就不怕你妈妈出什么事吗", "723": "就不怕你妈妈出什么事吗", "724": "就不怕你妈妈出什么事吗", "725": "就不怕你妈妈出什么事吗", "726": "就不怕你妈妈出什么事吗", "727": "就不怕你妈妈出什么事吗", "728": "就不怕你妈妈出什么事吗", "729": "就不怕你妈妈出什么事吗", "730": "就不怕你妈妈出什么事吗", "731": "就不怕你妈妈出什么事吗", "732": "就不怕你妈妈出什么事吗", "733": "就不怕你妈妈出什么事吗", "734": "", "735": "", "736": "", "737": "", "738": "你妈妈住院的医院", "739": "你妈妈住院的医院", "740": "你妈妈住院的医院", "741": "你妈妈住院的医院", "742": "你妈妈住院的医院", "743": "你妈妈住院的医院", "744": "你妈妈住院的医院", "745": "你妈妈住院的医院", "746": "你妈妈住院的医院", "747": "你妈妈住院的医院", "748": "就是这间医院的旗下医院", "749": "就是这间医院的旗下医院", "750": "就是这间医院的旗下医院", "751": "就是这间医院的旗下医院", "752": "就是这间医院的旗下医院", "753": "就是这间医院的旗下医院", "754": "就是这间医院的旗下医院", "755": "就是这间医院的旗下医院", "756": "就是这间医院的旗下医院", "757": "就是这间医院的旗下医院", "758": "而且负责治疗你妈妈的医生", "759": "而且负责治疗你妈妈的医生", "760": "而且负责治疗你妈妈的医生", "761": "而且负责治疗你妈妈的医生", "762": "而且负责治疗你妈妈的医生", "763": "而且负责治疗你妈妈的医生", "764": "而且负责治疗你妈妈的医生", "765": "而且负责治疗你妈妈的医生", "766": "而且负责治疗你妈妈的医生", "767": "而且负责治疗你妈妈的医生", "768": "而且负责治疗你妈妈的医生", "769": "而且负责治疗你妈妈的医生", "770": "", "771": "是我的手下", "772": "是我的手下", "773": "是我的手下", "774": "是我的手下", "775": "是我的手下", "776": "是我的手下", "777": "是我的手下", "778": "是我的手下", "779": "是我的手下", "780": "是我的手下", "781": "是我的手下", "782": "", "783": "", "784": "", "785": "这是什么意思呢 你应该明白吧", "786": "这是什么意思呢 你应该明白吧", "787": "这是什么意思呢 你应该明白吧", "788": "这是什么意思呢 你应该明白吧", "789": "这是什么意思呢 你应该明白吧", "790": "这是什么意思呢 你应该明白吧", "791": "这是什么意思呢 你应该明白吧", "792": "这是什么意思呢 你应该明白吧", "793": "这是什么意思呢 你应该明白吧", "794": "", "795": "", "796": "", "797": "", "798": "", "799": "聪明的你", "800": "聪明的你", "801": "聪明的你", "802": "聪明的你", "803": "聪明的你", "804": "聪明的你", "805": "聪明的你", "806": "应该已经察觉到 至今为止的一切了吧", "807": "应该已经察觉到 至今为止的一切了吧", "808": "应该已经察觉到至今为止的一切了吧", "809": "应该已经察觉到 至今为止的一切了吧", "810": "应该已经察觉到 至今为止的一切了吧", "811": "应该已经察觉到 至今为止的一切了吧", "812": "应该已经察觉到 至今为止的一切了吧", "813": "应该已经察觉到 至今为止的一切了吧", "814": "应该已经察觉到 至今为止的一切了吧", "815": "应该已经察觉到 至今为止的一切了吧", "816": "应该已经察觉到 至今为止的一切了吧", "817": "", "818": "你妈妈的生命", "819": "你妈妈的生命", "820": "你妈妈的生命", "821": "你妈妈的生命", "822": "你妈妈的生命", "823": "你妈妈的生命", "824": "你妈妈的生命", "825": "你妈妈的生命", "826": "你妈妈的生命", "827": "你妈妈的生命", "828": "你妈妈的生命", "829": "你妈妈的生命", "830": "", "831": "等同于掌握在你的手中了", "832": "等同于掌握在你的手中了", "833": "等同于掌握在你的手中了", "834": "等同于掌握在你的手中了", "835": "等同于掌握在你的手中了", "836": "等同于掌握在你的手中了", "837": "等同于掌握在你的手中了", "838": "等同于掌握在你的手中了", "839": "等同于掌握在你的手中了", "840": "等同于掌握在你的手中了", "841": "等同于掌握在你的手中了", "842": "等同于掌握在你的手中了", "843": "等同于掌握在你的手中了", "844": "等同于掌握在你的手中了", "845": "等同于掌握在你的手中了", "846": "", "847": "", "848": "", "849": "", "850": "", "851": "", "852": "", "853": "", "854": "", "855": "", "856": "", "857": "", "858": "", "859": "", "860": "", "861": "", "862": "", "863": "---", "864": "", "865": "", "866": "---", "867": "", "868": "", "869": "", "870": "", "871": "", "872": "", "873": "", "874": "", "875": "请住手", "876": "请住手", "877": "请住手", "878": "请住手", "879": "请住手", "880": "放心吧 放心吧", "881": "放心吧 放心吧", "882": "放心吧 放心吧", "883": "放心吧 放心吧", "884": "放心吧 放心吧", "885": "放心吧 放心吧", "886": "", "887": "", "888": "", "889": "", "890": "", "891": "", "892": "就当作是我的触诊吧", "893": "就当作是我的触诊吧", "894": "就当作是我的触诊吧", "895": "就当作是我的触诊吧", "896": "就当作是我的触诊吧", "897": "就当作是我的触诊吧", "898": "就当作是我的触诊吧", "899": "就当作是我的触诊吧", "900": "就当作是我的触诊吧", "901": "就当作是我的触诊吧", "902": "就当作是我的触诊吧", "903": "就当作是我的触诊吧", "904": "就当作是我的触诊吧", "905": "就当作是我的触诊吧", "906": "请住手", "907": "请住手", "908": "请住手", "909": "请住手", "910": "请住手", "911": "", "912": "", "913": "", "914": "", "915": "", "916": "", "917": "", "918": "", "919": "HTML", "920": "", "921": "", "922": "不要做这种事", "923": "不要做这种事", "924": "不要做这种事", "925": "不要做这种事", "926": "不要做这种事", "927": "不要做这种事", "928": "", "929": "------------------", "930": "", "931": "", "932": "", "933": "", "934": "", "935": "---------------", "936": "", "937": "", "938": "", "939": "", "940": "", "941": "", "942": "---------------", "943": "---------------", "944": "---------------", "945": "", "946": "------------------", "947": "", "948": "", "949": "医生 请住手 安静点", "950": "医生 请住手 安静点", "951": "医生 请住手 安静点", "952": "医生 请住手 安静点", "953": "医生 请住手 安静点", "954": "医生 请住手 安静点", "955": "医生 请住手 安静点", "956": "医生 请住手 安静点", "957": "医生 请住手 安静点", "958": "医生 请住手 安静点", "959": "医生 请住手 安静点", "960": "医生 请住手 安静点", "961": "---", "962": "", "963": "---", "964": "---", "965": "你想想妈妈的生命", "966": "你想想妈妈的生命", "967": "你想想妈妈的生命", "968": "你想想妈妈的生命", "969": "你想想妈妈的生命", "970": "你想想妈妈的生命", "971": "你想想妈妈的生命", "972": "你想想妈妈的生命", "973": "你想想妈妈的生命", "974": "你应该知道作为女儿 该做些什么才对的", "975": "你应该知道作为女儿 该做些什么才对的", "976": "你应该知道作为女儿 该做些什么才对的", "977": "你应该知道作为女儿 该做些什么才对的", "978": "你应该知道作为女儿 该做些什么才对的", "979": "你应该知道作为女儿 该做些什么才对的", "980": "你应该知道作为女儿 该做些什么才对的", "981": "你应该知道作为女儿 该做些什么才对的", "982": "你应该知道作为女儿 该做些什么才对的", "983": "你应该知道作为女儿 该做些什么才对的", "984": "你应该知道作为女儿 该做些什么才对的", "985": "---", "986": "", "987": "", "988": "", "989": "", "990": "", "991": "", "992": "真的原谅我吧 为什么权藤医生要做这种事呢", "993": "真的原谅我吧 为什么权藤医生要做这种事呢", "994": "真的原谅我吧 为什么权藤医生要做这种事呢", "995": "真的原谅我吧 为什么权藤医生要做这种事呢", "996": "真的原谅我吧 为什么权藤医生要做这种事呢", "997": "真的原谅我吧 为什么权藤医生要做这种事呢", "998": "真的原谅我吧 为什么权藤医生要做这种事呢", "999": "真的原谅我吧 为什么权藤医生要做这种事呢", "1000": "真的原谅我吧 为什么权藤医生要做这种事呢", "1001": "真的原谅我吧 为什么权藤医生要做这种事呢", "1002": "真的原谅我吧 为什么权藤医生要做这种事呢", "1003": "", "1004": "这也是没办法的事", "1005": "这也是没办法的事", "1006": "这也是没办法的事", "1007": "这也是没办法的事", "1008": "这也是没办法的事", "1009": "在这家医院呢", "1010": "在这家医院呢", "1011": "在这家医院呢", "1012": "在这家医院呢", "1013": "在这家医院呢", "1014": "为了吸引入住 单人病房的VIP患者", "1015": "为了吸引入住 单人病房的VIP患者", "1016": "为了吸引入住 单人病房的VIP患者", "1017": "为了吸引入住 单人病房的VIP患者", "1018": "为了吸引入住 单人病房的VIP患者", "1019": "为了吸引入住 单人病房的VIP患者", "1020": "为了吸引入住 单人病房的VIP患者", "1021": "为了吸引入住 单人病房的VIP患者", "1022": "为了吸引入住 单人病房的VIP患者", "1023": "为了吸引入住 单人病房的VIP患者", "1024": "为了吸引入住 单人病房的VIP患者", "1025": "为了吸引入住 单人病房的VIP患者", "1026": "为了吸引入住 单人病房的VIP患者", "1027": "为了吸引入住 单人病房的VIP患者", "1028": "我们提供了一种特别服务", "1029": "我们提供了一种特别服务", "1030": "我们提供了一种特别服务", "1031": "我们提供了一种特别服务", "1032": "我们提供了一种特别服务", "1033": "我们提供了一种特别服务", "1034": "我们提供了一种特别服务", "1035": "", "1036": "", "1037": "", "1038": "", "1039": "北冈小姐你", "1040": "北冈小姐你", "1041": "北冈小姐你", "1042": "北冈小姐你", "1043": "北冈小姐你", "1044": "北冈小姐你", "1045": "北冈小姐你", "1046": "北冈小姐你", "1047": "看起来很纯真嘛", "1048": "看起来很纯真嘛", "1049": "看起来很纯真嘛", "1050": "看起来很纯真嘛", "1051": "看起来很纯真嘛", "1052": "看起来很纯真嘛", "1053": "看起来很纯真嘛", "1054": "看起来很纯真嘛", "1055": "看起来很纯真嘛", "1056": "看起来很纯真嘛", "1057": "看起来很纯真嘛", "1058": "不这么做的话 可没法胜任患者的对象", "1059": "不这么做的话可没法胜任患者的对象", "1060": "不这么做的话 可没法胜任患者的对象", "1061": "不这么做的话 可没法胜任患者的对象", "1062": "不这么做的话 可没法胜任患者的对象", "1063": "不这么做的话可没法胜任患者的对象", "1064": "不这么做的话可没法胜任患者的对象", "1065": "不这么做的话可没法胜任患者的对象", "1066": "不这么做的话 可没法胜任患者的对象", "1067": "不这么做的话可没法胜任患者的对象", "1068": "不这么做的话可没法胜任患者的对象", "1069": "不这么做的话 可没法胜任患者的对象", "1070": "不这么做的话 可没法胜任患者的对象", "1071": "不这么做的话 可没法胜任患者的对象", "1072": "不这么做的话 可没法胜任患者的对象", "1073": "不这么做的话可没法胜任患者的对象", "1074": "", "1075": "", "1076": "", "1077": "", "1078": "", "1079": "请住手 这个跟照顾患者没关系", "1080": "请住手 这个跟照顾患者没关系", "1081": "请住手 这个跟照顾患者没关系", "1082": "请住手 这个跟照顾患者没关系", "1083": "请住手 这个跟照顾患者没关系", "1084": "请住手 这个跟照顾患者没关系", "1085": "请住手 这个跟照顾患者没关系", "1086": "请住手 这个跟照顾患者没关系", "1087": "请住手 这个跟照顾患者没关系", "1088": "请住手 这个跟照顾患者没关系", "1089": "", "1090": "只会说漂亮话 在这个世上是行不通的", "1091": "只会说漂亮话在这个世上是行不通的", "1092": "只会说漂亮话 在这个世上是行不通的", "1093": "只会说漂亮话在这个世上是行不通的", "1094": "只会说漂亮话 在这个世上是行不通的", "1095": "只会说漂亮话在这个世上是行不通的", "1096": "只会说漂亮话 在这个世上是行不通的", "1097": "只会说漂亮话 在这个世上是行不通的", "1098": "只会说漂亮话在这个世上是行不通的", "1099": "只会说漂亮话在这个世上是行不通的", "1100": "只会说漂亮话 在这个世上是行不通的", "1101": "只会说漂亮话在这个世上是行不通的", "1102": "只会说漂亮话在这个世上是行不通的", "1103": "只会说漂亮话 在这个世上是行不通的", "1104": "---", "1105": "", "1106": "", "1107": "", "1108": "", "1109": "2.0", "1110": "", "1111": "", "1112": "JILLIAN MILLER", "1113": "女厨 黑袜", "1114": "北医三附院", "1115": "身体放松一点吧", "1116": "身体放松一点吧", "1117": "身体放松一点吧", "1118": "身体放松一点吧", "1119": "身体放松一点吧", "1120": "身体放松一点吧", "1121": "", "1122": "", "1123": "", "1124": "", "1125": "", "1126": "", "1127": "", "1128": "", "1129": "", "1130": "", "1131": "", "1132": "", "1133": "", "1134": "", "1135": "", "1136": "", "1137": "", "1138": "", "1139": "", "1140": "", "1141": "", "1142": "", "1143": "", "1144": "", "1145": "", "1146": "", "1147": "你要练习跟患者接吻", "1148": "你要练习跟患者接吻", "1149": "你要练习跟患者接吻", "1150": "你要练习跟患者接吻", "1151": "你要练习跟患者接吻", "1152": "你要练习跟患者接吻", "1153": "你要练习跟患者接吻", "1154": "你要练习跟患者接吻", "1155": "你要练习跟患者接吻", "1156": "你要练习跟患者接吻", "1157": "你要练习跟患者接吻", "1158": "你要练习跟患者接吻", "1159": "你要练习跟患者接吻", "1160": "你要练习跟患者接吻", "1161": "你要练习跟患者接吻", "1162": "你要练习跟患者接吻", "1163": "", "1164": "", "1165": "", "1166": "", "1167": "", "1168": "", "1169": "", "1170": "", "1171": "", "1172": "", "1173": "", "1174": "", "1175": "", "1176": "", "1177": "", "1178": "", "1179": "", "1180": "", "1181": "", "1182": "", "1183": "", "1184": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1185": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1186": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1187": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1188": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1189": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1190": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1191": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1192": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1193": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1194": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1195": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1196": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1197": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1198": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1199": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1200": "北冈小姐 面对患者的时候呢 要像这样脱掉对方的衣服", "1201": "", "1202": "", "1203": "", "1204": "", "1205": "", "1206": "", "1207": "", "1208": "", "1209": "", "1210": "", "1211": "", "1212": "", "1213": "", "1214": "", "1215": "---", "1216": "---", "1217": "", "1218": "---", "1219": "患者呀", "1220": "患者呀", "1221": "患者呀", "1222": "患者呀", "1223": "患者呀", "1224": "患者呀", "1225": "", "1226": "并不是只有年轻英后的男性而已", "1227": "并不是只有年轻英后的男性而已", "1228": "并不是只有年轻英后的男性而已", "1229": "并不是只有年轻英后的男性而已", "1230": "并不是只有年轻英后的男性而已", "1231": "并不是只有年轻英后的男性而已", "1232": "并不是只有年轻英后的男性而已", "1233": "并不是只有年轻英后的男性而已", "1234": "并不是只有年轻英后的男性而已", "1235": "并不是只有年轻英后的男性而已", "1236": "并不是只有年轻英后的男性而已", "1237": "有的远比我还要", "1238": "有的远比我还要", "1239": "有的远比我还要", "1240": "有的远比我还要", "1241": "有的远比我还要", "1242": "有的远比我还要", "1243": "偶尔也要接待 比自己年长的大叔", "1244": "偶尔也要接待 比自己年长的大叔", "1245": "偶尔也要接待 比自己年长的大叔", "1246": "偶尔也要接待 比自己年长的大叔", "1247": "偶尔也要接待 比自己年长的大叔", "1248": "偶尔也要接待 比自己年长的大叔", "1249": "偶尔也要接待 比自己年长的大叔", "1250": "偶尔也要接待 比自己年长的大叔", "1251": "偶尔也要接待 比自己年长的大叔", "1252": "偶尔也要接待 比自己年长的大叔", "1253": "偶尔也要接待 比自己年长的大叔", "1254": "偶尔也要接待 比自己年长的大叔", "1255": "偶尔也要接待 比自己年长的大叔", "1256": "偶尔也要接待 比自己年长的大叔", "1257": "偶尔也要接待 比自己年长的大叔", "1258": "偶尔也要接待 比自己年长的大叔", "1259": "", "1260": "", "1261": "", "1262": "", "1263": "", "1264": "", "1265": "", "1266": "", "1267": "", "1268": "", "1269": "", "1270": "", "1271": "", "1272": "", "1273": "", "1274": "", "1275": "", "1276": "医生请住手", "1277": "医生请住手", "1278": "医生请住手", "1279": "医生请住手", "1280": "医生请住手", "1281": "医生请住手", "1282": "", "1283": "真是漂亮的后背", "1284": "真是漂亮的后背", "1285": "真是漂亮的后背", "1286": "真是漂亮的后背", "1287": "真是漂亮的后背", "1288": "真是漂亮的后背", "1289": "说不定会有喜欢后背的客人来呢", "1290": "说不定会有 喜欢后背的客人来呢", "1291": "说不定会有 喜欢后背的客人来呢", "1292": "说不定会有 喜欢后背的客人来呢", "1293": "说不定会有喜欢后背的客人来呢", "1294": "说不定会有喜欢后背的客人来呢", "1295": "说不定会有喜欢后背的客人来呢", "1296": "说不定会有喜欢后背的客人来呢", "1297": "说不定会有喜欢后背的客人来呢", "1298": "说不定会有 喜欢后背的客人来呢", "1299": "说不定会有喜欢后背的客人来呢", "1300": "", "1301": "", "1302": "", "1303": "", "1304": "", "1305": "请住手 不要", "1306": "请住手 不要", "1307": "请住手 不要", "1308": "请住手 不要", "1309": "请住手 不要", "1310": "请住手 不要", "1311": "请住手 不要", "1312": "", "1313": "", "1314": "", "1315": "", "1316": "", "1317": "", "1318": "", "1319": "", "1320": "来 把手拿开", "1321": "来 把手拿开", "1322": "来 把手拿开", "1323": "来 把手拿开", "1324": "来 把手拿开", "1325": "来 把手拿开", "1326": "你以为你的妈妈的生命 是谁掌握着呀", "1327": "你以为你的妈妈的生命 是谁掌握着呀", "1328": "你以为你的妈妈的生命是谁掌握着呀", "1329": "你以为你的妈妈的生命是谁掌握着呀", "1330": "你以为你的妈妈的生命 是谁掌握着呀", "1331": "你以为你的妈妈的生命是谁掌握着呀", "1332": "你以为你的妈妈的生命是谁掌握着呀", "1333": "你以为你的妈妈的生命是谁掌握着呀", "1334": "你以为你的妈妈的生命 是谁掌握着呀", "1335": "你以为你的妈妈的生命 是谁掌握着呀", "1336": "你以为你的妈妈的生命 是谁掌握着呀", "1337": "你以为你的妈妈的生命 是谁掌握着呀", "1338": "你以为你的妈妈的生命 是谁掌握着呀", "1339": "你以为你的妈妈的生命是谁掌握着呀", "1340": "你以为你的妈妈的生命 是谁掌握着呀", "1341": "你以为你的妈妈的生命 是谁掌握着呀", "1342": "", "1343": "", "1344": "", "1345": "", "1346": "", "1347": "", "1348": "---", "1349": "", "1350": "", "1351": "", "1352": "---", "1353": "", "1354": "", "1355": "", "1356": "不抵抗的话就马上结束了", "1357": "不抵抗的话就马上结束了", "1358": "不抵抗的话就马上结束了", "1359": "不抵抗的话就马上结束了", "1360": "不抵抗的话就马上结束了", "1361": "不抵抗的话就马上结束了", "1362": "不抵抗的话就马上结束了", "1363": "不抵抗的话就马上结束了", "1364": "不抵抗的话就马上结束了", "1365": "只是如果反抗的话", "1366": "只是如果反抗的话", "1367": "只是如果反抗的话", "1368": "只是 如果反抗的话", "1369": "只是如果反抗的话", "1370": "只是如果反抗的话", "1371": "只是如果反抗的话", "1372": "只是如果反抗的话", "1373": "我多少也会变得粗暴起来", "1374": "我多少也会变得粗暴起来", "1375": "我多少也会变得粗暴起来", "1376": "我多少也会变得粗暴起来", "1377": "我多少也会变得粗暴起来", "1378": "我多少也会变得粗暴起来", "1379": "我多少也会变得粗暴起来", "1380": "我多少也会变得粗暴起来", "1381": "我多少也会变得粗暴起来", "1382": "---", "1383": "---", "1384": "", "1385": "", "1386": "", "1387": "", "1388": "", "1389": "", "1390": "", "1391": "", "1392": "", "1393": "", "1394": "", "1395": "", "1396": "", "1397": "", "1398": "", "1399": "", "1400": "", "1401": "", "1402": "", "1403": "------------------", "1404": "", "1405": "", "1406": "", "1407": "", "1408": "", "1409": "", "1410": "", "1411": "", "1412": "", "1413": "", "1414": "", "1415": "", "1416": "", "1417": "", "1418": "", "1419": ".", "1420": "年轻又有弹性的屁股", "1421": "年轻又有弹性的屁股", "1422": "年轻又有弹性的屁股", "1423": "年轻又有弹性的屁股", "1424": "年轻又有弹性的屁股", "1425": "年轻又有弹性的屁股", "1426": "年轻又有弹性的屁股", "1427": "年轻又有弹性的屁股", "1428": "臀大肌很发达", "1429": "臀大肌很发达", "1430": "臀大肌很发达", "1431": "臀大肌很发达", "1432": "臀大肌很发达", "1433": "臀大肌很发达", "1434": "臀大肌很发达", "1435": "臀大肌很发达", "1436": "臀大肌很发达", "1437": "应该能生下健康的孩子", "1438": "应该能生下健康的孩子", "1439": "应该能生下健康的孩子", "1440": "健康的孩子", "1441": "应该熊孩子", "1442": "应该熊生，健康的孩子", "1443": "应该能生，健康的孩子", "1444": "应该熊生，健康的孩子", "1445": "应该能生下健康的孩子", "1446": "请住手", "1447": "请住手", "1448": "请住手", "1449": "请住手", "1450": "作为护士是很棒的身材", "1451": "作为护士是很棒的身材", "1452": "作为护士是很棒的身材", "1453": "作为护士是很棒的身材", "1454": "作为护士是很棒的身材", "1455": "作为护士是很棒的身材", "1456": "作为护士是很棒的身材", "1457": "作为护士是很棒的身材", "1458": "作为护士是很棒的身材", "1459": "作为护士是很棒的身材", "1460": "作为护士是很棒的身材", "1461": "作为护士是很棒的身材", "1462": "", "1463": "", "1464": "", "1465": "", "1466": "---", "1467": "", "1468": "", "1469": "", "1470": "", "1471": "", "1472": "", "1473": "", "1474": "", "1475": "", "1476": "", "1477": "", "1478": "", "1479": "", "1480": "", "1481": "", "1482": "", "1483": "", "1484": "", "1485": "", "1486": "---", "1487": "", "1488": "", "1489": "", "1490": "", "1491": "", "1492": "", "1493": "", "1494": "", "1495": "", "1496": "", "1497": "", "1498": "", "1499": "", "1500": "", "1501": "", "1502": "", "1503": "", "1504": "", "1505": "", "1506": "", "1507": "", "1508": "", "1509": "", "1510": "", "1511": "", "1512": "", "1513": "", "1514": "身体不要用力了", "1515": "身体不要用力了", "1516": "身体不要用力了", "1517": "身体不要用力了", "1518": "身体不要用力了", "1519": "B", "1520": "", "1521": "", "1522": "", "1523": "", "1524": "", "1525": "", "1526": "", "1527": "", "1528": "", "1529": "", "1530": "", "1531": "", "1532": "", "1533": "", "1534": "", "1535": "", "1536": "", "1537": "", "1538": "", "1539": "", "1540": "", "1541": "---", "1542": "", "1543": "", "1544": "", "1545": "", "1546": "", "1547": "", "1548": "", "1549": "", "1550": "", "1551": "", "1552": "", "1553": "", "1554": "", "1555": "", "1556": "", "1557": "", "1558": "", "1559": "", "1560": "", "1561": "", "1562": "", "1563": "", "1564": "", "1565": "", "1566": "---", "1567": "即使吵闹 也不会有人来的", "1568": "即使吵闹 也不会有人来的", "1569": "即使吵闹 也不会有人来的", "1570": "即使吵闹 也不会有人来的", "1571": "即使吵闹 也不会有人来的", "1572": "即使吵闹 也不会有人来的", "1573": "即使吵闹 也不会有人来的", "1574": "即使吵闹 也不会有人来的", "1575": "即使吵闹 也不会有人来的", "1576": "即使吵闹 也不会有人来的", "1577": "这里只有你我两人", "1578": "这里只有你我两人", "1579": "这里只有你我两人", "1580": "这里只有你我两人", "1581": "这里只有你我两人", "1582": "这里只有你我两人", "1583": "这里只有你我两人", "1584": "这里只有你我两人", "1585": "这里只有你我两人", "1586": "这里只有你我两人", "1587": "把手拿开", "1588": "把手拿开", "1589": "把手拿开", "1590": "把手拿开", "1591": "把手拿开", "1592": "", "1593": "接下来检查奶子的状况", "1594": "接下来检查奶子的状况", "1595": "接下来检查奶子的状况", "1596": "接下来检查奶子的状况", "1597": "接下来检查奶子的状况", "1598": "接下来检查奶子的状况", "1599": "女妾来坐奶子的状况", "1600": "妾也来坐奶江的状况。", "1601": "", "1602": "", "1603": "", "1604": "", "1605": "", "1606": "", "1607": "", "1608": "", "1609": "", "1610": "", "1611": "", "1612": "", "1613": "", "1614": "", "1615": "腹部没什么问题呢", "1616": "腹部没什么问题呢", "1617": "腹部没什么问题呢", "1618": "腹部没什么问题呢", "1619": "腹部没什么问题呢", "1620": "腹部没什么问题呢", "1621": "腹部没什么问题呢", "1622": "", "1623": "没有皮肤科医生出场的机会了", "1624": "没有皮肤科医生出场的机会了", "1625": "没有皮肤科医生出场的机会了", "1626": "没有皮肤科医生出场的机会了", "1627": "没有皮肤科医生出场的机会了", "1628": "没有皮肤科医生出场的机会了", "1629": "没有皮肤科医生出场的机会了", "1630": "没有皮肤科医生出场的机会了", "1631": "没有皮肤科医生出场的机会了", "1632": "", "1633": "", "1634": "", "1635": "", "1636": "", "1637": "", "1638": "我看看", "1639": "我看看", "1640": "我看看", "1641": "我看看", "1642": "我看看", "1643": "这可是女性的重要部位 我要直接摸了", "1644": "这可是女性的重要部位 我要直接摸了", "1645": "这可是女性的重要部位 我要直接摸了", "1646": "这可是女性的重要部位 我要直接摸了", "1647": "这可是女性的重要部位 我要直接摸了", "1648": "这可是女性的重要部位 我要直接摸了", "1649": "请住手 让我来帮你检查吧", "1650": "请住手 让我来帮你检查吧", "1651": "请住手 让我来帮你检查吧", "1652": "请住手 让我来帮你检查吧", "1653": "请住手 让我来帮你检查吧", "1654": "请住手 让我来帮你检查吧", "1655": "请住手 让我来帮你检查吧", "1656": "请住手 让我来帮你检查吧", "1657": "", "1658": "", "1659": "", "1660": "", "1661": "", "1662": "", "1663": "", "1664": "", "1665": "", "1666": "把手拿开啦", "1667": "把手拿开啦", "1668": "把手拿开啦", "1669": "把手拿开啦", "1670": "把手拿开啦", "1671": "", "1672": "", "1673": "别让我重复同样的话", "1674": "别让我重复同样的话", "1675": "别让我重复同样的话", "1676": "别让我重复同样的话", "1677": "别让我重复同样的话", "1678": "别让我重复同样的话", "1679": "", "1680": "妈妈得救不了也没关系吗", "1681": "妈妈得救不了也没关系吗", "1682": "妈妈得救不了也没关系吗", "1683": "妈妈得救不了也没关系吗", "1684": "妈妈得救不了也没关系吗", "1685": "妈妈得救不了也没关系吗", "1686": "妈妈得救不了也没关系吗", "1687": "妈妈得救不了也没关系吗", "1688": "请住手", "1689": "请住手", "1690": "请住手", "1691": "请住手", "1692": "请住手", "1693": "", "1694": "", "1695": "", "1696": "", "1697": "", "1698": "", "1699": "", "1700": "", "1701": "怎么 你嘴上说的倒是好听", "1702": "怎么 你嘴上说的倒是好听", "1703": "怎么 你嘴上说的倒是好听", "1704": "怎么 你嘴上说的倒是好听", "1705": "怎么 你嘴上说的倒是好听", "1706": "怎么 你嘴上说的倒是好听", "1707": "怎么 你嘴上说的倒是好听", "1708": "怎么 你嘴上说的倒是好听", "1709": "怎么 你嘴上说的倒是好听", "1710": "", "1711": "", "1712": "乳头都这么硬了", "1713": "乳头都这么硬了", "1714": "乳头都这么硬了", "1715": "乳头都这么硬了", "1716": "乳头都这么硬了", "1717": "乳头都这么硬了", "1718": "乳头都这么硬了", "1719": "", "1720": "", "1721": "四学综合硬", "1722": "国家质监来说呢 有硬", "1723": "国家质保来说呢 有缺失补交硬", "1724": "医学发达来说呢 有快感的话就不硬", "1725": "医学角度来说呢 有快感的话就会变硬", "1726": "医学角度来说呢 有快感的话就会变硬", "1727": "医学角度来说呢 有快感的话就会变硬", "1728": "医学角度来说呢 有快感的话就会变硬", "1729": "医学角度来说呢 有快感的话就会变硬", "1730": "医学角度来说呢 有快感的话就会变硬", "1731": "医学角度来说呢 有快感的话就会变硬", "1732": "医学角度来说呢 有快感的话就会变硬", "1733": "医学角度来说呢 有快感的话就会变硬", "1734": "医学角度来说呢 有快感的话就会变硬", "1735": "医学角度来说呢 有快感的话就会变硬", "1736": "", "1737": "", "1738": "", "1739": "---", "1740": "", "1741": "", "1742": "", "1743": "---", "1744": "---", "1745": "", "1746": "", "1747": "", "1748": "", "1749": "", "1750": "", "1751": "", "1752": "", "1753": "", "1754": "", "1755": "", "1756": "", "1757": "", "1758": "", "1759": "", "1760": "---", "1761": "", "1762": "", "1763": "", "1764": "", "1765": "", "1766": "", "1767": "", "1768": "", "1769": "", "1770": "", "1771": "", "1772": "", "1773": "", "1774": "", "1775": "", "1776": "", "1777": "", "1778": "怎么了 忍着不发出声音吗", "1779": "怎么了 忍着不发出声音吗", "1780": "怎么了 忍着不发出声音吗", "1781": "怎么了 忍着不发出声音吗", "1782": "怎么了 忍着不发出声音吗", "1783": "怎么了 忍着不发出声音吗", "1784": "怎么了 忍着不发出声音吗", "1785": "", "1786": "", "1787": "", "1788": "", "1789": "", "1790": "你是怕羞的孩子吗", "1791": "你是怕羞的孩子吗", "1792": "你是怕羞的孩子吗", "1793": "你是怕羞的孩子吗", "1794": "你是怕羞的孩子吗", "1795": "你是怕羞的孩子吗", "1796": "你是怕羞的孩子吗", "1797": "你是怕羞的孩子吗", "1798": "看吧 你自己看", "1799": "看吧 你自己看", "1800": "看吧 你自己看", "1801": "看吧 你自己看", "1802": "看吧 你自己看", "1803": "左边的乳头和右边的乳头 硬度完全不一样", "1804": "左边的乳头和右边的乳头 硬度完全不一样", "1805": "左边的乳头和右边的乳头 硬度完全不一样", "1806": "左边的乳头和右边的乳头 硬度完全不一样", "1807": "左边的乳头和右边的乳头 硬度完全不一样", "1808": "左边的乳头和右边的乳头 硬度完全不一样", "1809": "左边的乳头和右边的乳头 硬度完全不一样", "1810": "左边的乳头和右边的乳头 硬度完全不一样", "1811": "左边的乳头和右边的乳头 硬度完全不一样", "1812": "左边的乳头和右边的乳头 硬度完全不一样", "1813": "左边的乳头和右边的乳头 硬度完全不一样", "1814": "左边的乳头和右边的乳头 硬度完全不一样", "1815": "", "1816": "", "1817": "", "1818": "这个也变硬了", "1819": "这个也变硬了", "1820": "这个也变硬了", "1821": "这个也变硬了", "1822": "这个也变硬了", "1823": "这个也变硬了", "1824": "", "1825": "", "1826": "", "1827": "", "1828": "", "1829": "", "1830": "", "1831": "", "1832": "", "1833": "", "1834": "", "1835": "", "1836": "", "1837": "", "1838": "", "1839": "", "1840": "", "1841": "", "1842": "", "1843": "", "1844": "", "1845": "", "1846": "", "1847": "", "1848": "", "1849": "", "1850": "", "1851": "", "1852": "", "1853": "", "1854": "", "1855": "", "1856": "", "1857": "", "1858": "", "1859": "---", "1860": "", "1861": "", "1862": "", "1863": "", "1864": "", "1865": "", "1866": "", "1867": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1868": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1869": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1870": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1871": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1872": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1873": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1874": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1875": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1876": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1877": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1878": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1879": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1880": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1881": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1882": "不稍微发出点舒服的声音的话 患者们可不会兴奋起来", "1883": "", "1884": "", "1885": "", "1886": "好嘞", "1887": "好嘞", "1888": "好嘞", "1889": "必须得让你更害羞才行", "1890": "必须得让你更害羞才行", "1891": "必须得让你更害羞才行", "1892": "必须得让你更害羞才行", "1893": "必须得让你更害羞才行", "1894": "必须得让你更害羞才行", "1895": "必须得让你更害羞才行", "1896": "必须得让你更害羞才行", "1897": "下来吧 快点", "1898": "下来吧 快点", "1899": "下来吧 快点", "1900": "下来吧 快点", "1901": "下来吧 快点", "1902": "下来吧 快点", "1903": "下来吧 快点", "1904": "下来吧 快点", "1905": "下来吧 快点", "1906": "", "1907": "", "1908": "", "1909": "", "1910": "", "1911": "站在这里", "1912": "站在这里", "1913": "站在这里", "1914": "站在这里", "1915": "站在这里", "1916": "", "1917": "", "1918": "", "1919": "", "1920": "", "1921": "", "1922": "", "1923": "", "1924": "", "1925": "", "1926": "", "1927": "", "1928": "", "1929": "", "1930": "", "1931": "", "1932": "", "1933": "", "1934": "", "1935": "", "1936": "", "1937": "", "1938": "", "1939": "你现在是什么心情 放过我吧", "1940": "你现在是什么心情 放过我吧", "1941": "你现在是什么心情 放过我吧", "1942": "你现在是什么心情 放过我吧", "1943": "你现在是什么心情 放过我吧", "1944": "你现在是什么心情 放过我吧", "1945": "你现在是什么心情 放过我吧", "1946": "你现在是什么心情 放过我吧", "1947": "你现在是什么心情 放过我吧", "1948": "不行", "1949": "不行", "1950": "不行", "1951": "不行", "1952": "这才刚开始呢", "1953": "这才刚开始呢", "1954": "这才刚开始呢", "1955": "这才刚开始呢", "1956": "这才刚开始呢", "1957": "", "1958": "", "1959": "", "1960": "坐在这里", "1961": "坐在这里", "1962": "坐在这里", "1963": "坐在这里", "1964": "坐在这里", "1965": "坐在这里", "1966": "", "1967": "", "1968": "", "1969": "", "1970": "", "1971": "", "1972": "", "1973": "", "1974": "", "1975": "", "1976": "", "1977": "", "1978": "", "1979": "", "1980": "", "1981": "", "1982": "", "1983": "", "1984": "", "1985": "", "1986": "", "1987": "", "1988": "", "1989": "", "1990": "", "1991": "", "1992": "", "1993": "", "1994": "HTML", "1995": "", "1996": "", "1997": "", "1998": "", "1999": "", "2000": "原来如此", "2001": "原来如此", "2002": "原来如此", "2003": "原来如此", "2004": "原来如此", "2005": "原来如此", "2006": "原来如此", "2007": "", "2008": "", "2009": "", "2010": "你有好好处理这边的阴毛呢", "2011": "你有好好处理这边的阴毛呢", "2012": "你有好好处理这边的阴毛呢", "2013": "你有好好处理这边的阴毛呢", "2014": "你有好好处理这边的阴毛呢", "2015": "你有好好处理这边的阴毛呢", "2016": "你有好好处理这边的阴毛呢", "2017": "你有好好处理这边的阴毛呢", "2018": "你有好好处理这边的阴毛呢", "2019": "你有好好处理这边的阴毛呢", "2020": "你有好好处理这边的阴毛呢", "2021": "", "2022": "", "2023": "", "2024": "", "2025": "A", "2026": "", "2027": "", "2028": "", "2029": "A", "2030": "", "2031": "", "2032": "", "2033": "", "2034": "", "2035": "", "2036": "气味也没异常 很好", "2037": "气味也没异常 很好", "2038": "气味也没异常 很好", "2039": "气味也没异常 很好", "2040": "气味也没异常 很好", "2041": "气味也没异常 很好", "2042": "气味也没异常 很好", "2043": "气味也没异常 很好", "2044": "", "2045": "", "2046": "", "2047": "味道如何 不要这样", "2048": "味道如何 不要这样", "2049": "味道如何 不要这样", "2050": "味道如何 不要这样", "2051": "味道如何 不要这样", "2052": "味道如何 不要这样", "2053": "味道如何 不要这样", "2054": "味道如何 不要这样", "2055": "味道如何 不要这样", "2056": "味道如何 不要这样", "2057": "味道如何 不要这样", "2058": "味道如何 不要这样", "2059": "", "2060": "", "2061": "", "2062": "", "2063": "", "2064": "", "2065": "", "2066": "", "2067": "", "2068": "", "2069": "", "2070": "", "2071": "", "2072": "", "2073": "", "2074": "", "2075": "", "2076": "", "2077": "", "2078": "", "2079": "", "2080": "", "2081": "目前没有问题", "2082": "目前没有问题", "2083": "目前没有问题", "2084": "目前没有问题", "2085": "目前没有问题", "2086": "目前没有问题", "2087": "目前没有问题", "2088": "", "2089": "", "2090": "因为重点在体内嘛 来吧", "2091": "因为重点在体内嘛 来吧", "2092": "因为重点在体内嘛 来吧", "2093": "因为重点在体内嘛 来吧", "2094": "因为重点在体内嘛 来吧", "2095": "因为重点在体内嘛 来吧", "2096": "因为重点在体内嘛 来吧", "2097": "因为重点在体内嘛 来吧", "2098": "因为重点在体内嘛 来吧", "2099": "因为重点在体内嘛 来吧", "2100": "因为重点在体内嘛 来吧", "2101": "对于患者 对于VIP患者", "2102": "对于患者 对于VIP患者", "2103": "对于患者 对于VIP患者", "2104": "对于患者 对于VIP患者", "2105": "对于患者 对于VIP患者", "2106": "对于患者 对于VIP患者", "2107": "对于患者 对于VIP患者", "2108": "对于患者 对于VIP患者", "2109": "对于患者 对于VIP患者", "2110": "对于患者 对于VIP患者", "2111": "可不能失礼了呢", "2112": "可不能失礼了呢", "2113": "可不能失礼了呢", "2114": "可不能失礼了呢", "2115": "可不能失礼了呢", "2116": "可不能失礼了呢", "2117": "我会好好地诊察的 别这样", "2118": "我会好好地诊察的 别这样", "2119": "我会好好地诊察的 别这样", "2120": "我会好好地诊察的 别这样", "2121": "我会好好地诊察的 别这样", "2122": "我会好好地诊察的 别这样", "2123": "我会好好地诊察的 别这样", "2124": "我会好好地诊察的 别这样", "2125": "我会好好地诊察的 别这样", "2126": "我会好好地诊察的 别这样", "2127": "我会好好地诊察的 别这样", "2128": "我会好好地诊察的 别这样", "2129": "我会好好地诊察的 别这样", "2130": "我会好好地诊察的 别这样", "2131": "这是诊察不要", "2132": "这是诊察不要", "2133": "这是诊察不要", "2134": "这是诊察不要", "2135": "这是诊察不要", "2136": "这是诊察不要", "2137": "这是诊察不要", "2138": "这是诊察不要", "2139": "", "2140": "", "2141": "", "2142": "", "2143": "", "2144": "", "2145": "求求你了 放过我吧", "2146": "求求你了 放过我吧", "2147": "求求你了 放过我吧", "2148": "求求你了 放过我吧", "2149": "求求你了 放过我吧", "2150": "求求你了 放过我吧", "2151": "求求你了 放过我吧", "2152": "", "2153": "", "2154": "", "2155": "", "2156": "", "2157": "外观上没有异常呢", "2158": "外观上没有异常呢", "2159": "外观上没有异常呢", "2160": "外观上没有异常呢", "2161": "外观上没有异常呢", "2162": "外观上没有异常呢", "2163": "外观上没有异常呢", "2164": "", "2165": "", "2166": "", "2167": "", "2168": "", "2169": "", "2170": "", "2171": "", "2172": "身为护士你就做好觉悟吧", "2173": "身为护士你就做好觉悟吧", "2174": "身为护士你就做好觉悟吧", "2175": "身为护士你就做好觉悟吧", "2176": "身为护士你就做好觉悟吧", "2177": "身为护士你就做好觉悟吧", "2178": "", "2179": "不要 住手", "2180": "不要 住手", "2181": "不要 住手", "2182": "不要 住手", "2183": "不要 住手", "2184": "", "2185": "", "2186": "", "2187": "", "2188": "", "2189": "", "2190": "", "2191": "", "2192": "", "2193": "", "2194": "", "2195": "", "2196": "", "2197": "", "2198": "", "2199": "", "2200": "", "2201": "", "2202": "", "2203": "", "2204": "", "2205": "", "2206": "", "2207": "", "2208": "", "2209": "---", "2210": "", "2211": "---------------", "2212": "", "2213": "", "2214": "", "2215": "", "2216": "", "2217": "", "2218": "不要这样", "2219": "不要这样", "2220": "不要这样", "2221": "不要这样", "2222": "不要这样", "2223": "", "2224": "", "2225": "", "2226": "", "2227": "", "2228": "", "2229": "", "2230": "", "2231": "", "2232": "", "2233": "", "2234": "---", "2235": "", "2236": "------", "2237": "------------------", "2238": "", "2239": "", "2240": "", "2241": "北冈小姐 你不用忍耐的", "2242": "北冈小姐 你不用忍耐的", "2243": "北冈小姐 你不用忍耐的", "2244": "北冈小姐 你不用忍耐的", "2245": "北冈小姐 你不用忍耐的", "2246": "北冈小姐 你不用忍耐的", "2247": "北冈小姐 你不用忍耐的", "2248": "北冈小姐 你不用忍耐的", "2249": "北冈小姐 你不用忍耐的", "2250": "北冈小姐 你不用忍耐的", "2251": "北冈小姐 你不用忍耐的", "2252": "北冈小姐 你不用忍耐的", "2253": "北冈小姐 你不用忍耐的", "2254": "", "2255": "", "2256": "", "2257": "这里都一抖一抖了不是吗", "2258": "这里都一抖一抖了不是吗", "2259": "这里都一抖一抖了不是吗", "2260": "这里都一抖一抖了不是吗", "2261": "这里都一抖一抖了不是吗", "2262": "这里都一抖一抖了不是吗", "2263": "这可是呢", "2264": "这可是呢", "2265": "这可是呢", "2266": "这可是呢", "2267": "身体在意识中渴求男人的证据", "2268": "身体在意识中渴求男人的证据", "2269": "身体在意识中渴求男人的证据", "2270": "身体在意识中渴求男人的证据", "2271": "身体在意识中渴求男人的证据", "2272": "身体在意识中渴求男人的证据", "2273": "不对 请住手", "2274": "不对 请住手", "2275": "不对 请住手", "2276": "不对 请住手", "2277": "不对 请住手", "2278": "不对 请住手", "2279": "你妈妈身体健康的时候一定也渴望着男人的滋润吧", "2280": "你妈妈身体健康的时候一定也渴望着男人的滋润吧", "2281": "你妈妈身体健康的时候一定也渴望着男人的滋润吧", "2282": "你妈妈身体健康的时候一定也渴望着男人的滋润吧", "2283": "你妈妈身体健康的时候 一定也渴望着男人的滋润吧", "2284": "你妈妈身体健康的时候一定也渴望着男人的滋润吧", "2285": "你妈妈身体健康的时候一定也渴望着男人的滋润吧", "2286": "你妈妈身体健康的时候一定也渴望着男人的滋润吧", "2287": "你妈妈身体健康的时候一定也渴望着男人的滋润吧", "2288": "你妈妈身体健康的时候一定也渴望着男人的滋润吧", "2289": "别说了", "2290": "别说了", "2291": "别说了", "2292": "别说了", "2293": "", "2294": "", "2295": "", "2296": "", "2297": "", "2298": "------", "2299": "HTML", "2300": "------", "2301": "------", "2302": "------", "2303": "", "2304": "", "2305": "", "2306": "", "2307": "", "2308": "", "2309": "", "2310": "", "2311": "------", "2312": "---------------------", "2313": "---------------------", "2314": "------", "2315": "------", "2316": "------", "2317": "---", "2318": "接下来要分泌出健康体液了", "2319": "接下来要分泌出健康体液了", "2320": "接下来要分泌出健康体液了", "2321": "接下来要分泌出健康体液了", "2322": "接下来要分泌出健康体液了", "2323": "接下来要分泌出健康体液了", "2324": "接下来要分泌出健康体液了", "2325": "接下来要分泌出健康体液了", "2326": "接下来要分泌出健康体液了", "2327": "接下来要分泌出健康体液了", "2328": "接下来要分泌出健康体液了", "2329": "接下来要分泌出健康体液了", "2330": "接下来要分泌出健康体液了", "2331": "------", "2332": "---", "2333": "------", "2334": "---", "2335": "---", "2336": "---", "2337": "---", "2338": "------", "2339": "---", "2340": "---", "2341": "", "2342": "------", "2343": "---", "2344": "---", "2345": "---", "2346": "", "2347": "", "2348": "------------------", "2349": "------------------", "2350": "---", "2351": "------", "2352": "", "2353": "", "2354": "---", "2355": "", "2356": "", "2357": "", "2358": "", "2359": "", "2360": "", "2361": "", "2362": "", "2363": "", "2364": "", "2365": "", "2366": "", "2367": "", "2368": "", "2369": "", "2370": "", "2371": "", "2372": "", "2373": "", "2374": "", "2375": "", "2376": "", "2377": "", "2378": "", "2379": "", "2380": "", "2381": "", "2382": "", "2383": "", "2384": "", "2385": "", "2386": "放过我吧 求求你", "2387": "放过我吧 求求你", "2388": "放过我吧 求求你", "2389": "放过我吧 求求你", "2390": "放过我吧 求求你", "2391": "放过我吧 求求你", "2392": "放过我吧 求求你", "2393": "放过我吧 求求你", "2394": "放过我吧 求求你", "2395": "放过我吧 求求你", "2396": "", "2397": "", "2398": "", "2399": "", "2400": "", "2401": "", "2402": "", "2403": "", "2404": "", "2405": "", "2406": "", "2407": "", "2408": "", "2409": "", "2410": "", "2411": "", "2412": "", "2413": "", "2414": "", "2415": "HTML", "2416": "", "2417": "", "2418": "不要 停下来", "2419": "不要 停下来", "2420": "不要 停下来", "2421": "不要 停下来", "2422": "不要 停下来", "2423": "不要 停下来", "2424": "不要 停下来", "2425": "", "2426": "", "2427": "", "2428": "", "2429": "", "2430": "", "2431": "", "2432": "", "2433": "", "2434": "", "2435": "", "2436": "", "2437": "", "2438": "", "2439": "", "2440": "", "2441": "", "2442": "", "2443": "", "2444": "", "2445": "", "2446": "", "2447": "你其实也挺乐意的嘛 北冈小姐", "2448": "你其实也挺乐意的嘛 北冈小姐", "2449": "你其实也挺乐意的嘛 北冈小姐", "2450": "你其实也挺乐意的嘛 北冈小姐", "2451": "你其实也挺乐意的嘛 北冈小姐", "2452": "你其实也挺乐意的嘛 北冈小姐", "2453": "你其实也挺乐意的嘛 北冈小姐", "2454": "", "2455": "", "2456": "", "2457": "", "2458": "", "2459": "", "2460": "", "2461": "", "2462": "", "2463": "", "2464": "", "2465": "", "2466": "", "2467": "", "2468": "", "2469": "", "2470": "", "2471": "", "2472": "", "2473": "", "2474": "", "2475": "", "2476": "", "2477": "", "2478": "就这样放松吧", "2479": "就这样放松吧", "2480": "就这样放松吧", "2481": "就这样放松吧", "2482": "就这样放松吧", "2483": "就这样放松吧", "2484": "就这样放松吧", "2485": "", "2486": "", "2487": "", "2488": "", "2489": "", "2490": "", "2491": "", "2492": "", "2493": "", "2494": "", "2495": "", "2496": "", "2497": "", "2498": "已经准备好了", "2499": "已经准备好了", "2500": "已经准备好了", "2501": "已经准备好了", "2502": "已经准备好了", "2503": "已经准备好了", "2504": "接下来就要服侍男人的身体了", "2505": "接下来就要服侍男人的身体了", "2506": "接下来就要服侍男人的身体了", "2507": "接下来就要服侍男人的身体了", "2508": "接下来就要服侍男人的身体了", "2509": "接下来就要服侍男人的身体了", "2510": "接下来就要服侍男人的身体了", "2511": "接下来就要服侍男人的身体了", "2512": "接下来就要服侍男人的身体了", "2513": "接下来就要服侍男人的身体了", "2514": "接下来就要服侍男人的身体了", "2515": "接下来就要服侍男人的身体了", "2516": "接下来就要服侍男人的身体了", "2517": "接下来就要服侍男人的身体了", "2518": "接下来就要服侍男人的身体了", "2519": "接下来就要服侍男人的身体了", "2520": "接下来就要服侍男人的身体了", "2521": "不要 这不是说不要的时候", "2522": "不要 这不是说不要的时候", "2523": "不要 这不是说不要的时候", "2524": "不要 这不是说不要的时候", "2525": "不要 这不是说不要的时候", "2526": "不要 这不是说不要的时候", "2527": "不要 这不是说不要的时候", "2528": "不要 这不是说不要的时候", "2529": "不要 这不是说不要的时候", "2530": "你妈妈变成什么样都无所谓吗", "2531": "你妈妈变成什么样都无所谓吗", "2532": "你妈妈变成什么样都无所谓吗", "2533": "你妈妈变成什么样都无所谓吗", "2534": "你妈妈变成什么样都无所谓吗", "2535": "你妈妈变成什么样都无所谓吗", "2536": "你想救妈妈吧", "2537": "你想救妈妈吧", "2538": "你想救妈妈吧", "2539": "你想救妈妈吧", "2540": "你想救妈妈吧", "2541": "你想救妈妈吧", "2542": "你想救妈妈吧", "2543": "只要我一声令下", "2544": "只要我一声令下", "2545": "只要我一声令下", "2546": "只要我一声令下", "2547": "只要我一声令下", "2548": "只要我一声令下", "2549": "她就能进行最棒的手术了", "2550": "她就能进行最棒的手术了", "2551": "她就能进行最棒的手术了", "2552": "她就能进行最棒的手术了", "2553": "她就能进行最棒的手术了", "2554": "她就能进行最棒的手术了", "2555": "她就能进行最棒的手术了", "2556": "她就能进行最棒的手术了", "2557": "她就能进行最棒的手术了", "2558": "她就能进行最棒的手术了", "2559": "", "2560": "", "2561": "", "2562": "", "2563": "", "2564": "", "2565": "", "2566": "", "2567": "", "2568": "", "2569": "", "2570": "", "2571": "", "2572": "", "2573": "", "2574": "", "2575": "", "2576": "不要停下来 要继续动", "2577": "不要停下来 要继续动", "2578": "不要停下来 要继续动", "2579": "不要停下来 要继续动", "2580": "不要停下来 要继续动", "2581": "", "2582": "", "2583": "", "2584": "要好好看着我这边", "2585": "要好好看着我这边", "2586": "要好好看着我这边", "2587": "要好好看着我这边", "2588": "要好好看着我这边", "2589": "要好好看着我这边", "2590": "", "2591": "", "2592": "", "2593": "", "2594": "", "2595": "", "2596": "", "2597": "", "2598": "", "2599": "", "2600": "", "2601": "", "2602": "距离太远了 靠近一点", "2603": "距离太远了 靠近一点", "2604": "距离太远了 靠近一点", "2605": "距离太远了 靠近一点", "2606": "距离太远了 靠近一点", "2607": "距离太远了 靠近一点", "2608": "距离太远了 靠近一点", "2609": "", "2610": "", "2611": "", "2612": "", "2613": "保持社交距离已经结束了", "2614": "保持社交距离已经结束了", "2615": "保持社交距离已经结束了", "2616": "保持社交距离已经结束了", "2617": "保持社交距离已经结束了", "2618": "保持社交距离已经结束了", "2619": "保持社交距离已经结束了", "2620": "", "2621": "", "2622": "靠近点放过我吧", "2623": "靠近点放过我吧", "2624": "靠近点放过我吧", "2625": "靠近点放过我吧", "2626": "靠近点放过我吧", "2627": "靠近点放过我吧", "2628": "", "2629": "", "2630": "", "2631": "", "2632": "", "2633": "", "2634": "", "2635": "", "2636": "", "2637": "", "2638": "", "2639": "", "2640": "", "2641": "", "2642": "", "2643": "", "2644": "", "2645": "", "2646": "", "2647": "", "2648": "", "2649": "", "2650": "摸上去", "2651": "摸上去", "2652": "摸上去", "2653": "摸上去", "2654": "摸上去", "2655": "", "2656": "", "2657": "不要用太多力气 适应的力量", "2658": "不要用太多力气 适应的力量", "2659": "不要用太多力气 适应的力量", "2660": "不要用太多力气 适应的力量", "2661": "不要用太多力气 适应的力量", "2662": "不要用太多力气 适应的力量", "2663": "不要用太多力气 适应的力量", "2664": "不要用太多力气 适应的力量", "2665": "不要用太多力气 适应的力量", "2666": "不要用太多力气 适应的力量", "2667": "不要用太多力气 适应的力量", "2668": "", "2669": "", "2670": "", "2671": "", "2672": "", "2673": "不要停下的 快点继续动", "2674": "不要停下的 快点继续动", "2675": "不要停下的 快点继续动", "2676": "不要停下的 快点继续动", "2677": "不要停下的 快点继续动", "2678": "不要停下的 快点继续动", "2679": "不要停下的 快点继续动", "2680": "不要停下的 快点继续动", "2681": "不要停下的 快点继续动", "2682": "不要停下的 快点继续动", "2683": "不要停下的 快点继续动", "2684": "", "2685": "", "2686": "我不要", "2687": "我不要", "2688": "我不要", "2689": "我不要", "2690": "我不要", "2691": "", "2692": "", "2693": "", "2694": "", "2695": "", "2696": "偶尔也要用嘴巴", "2697": "偶尔也要用嘴巴", "2698": "偶尔也要用嘴巴", "2699": "偶尔也要用嘴巴", "2700": "偶尔也要用嘴巴", "2701": "偶尔也要用嘴巴", "2702": "偶尔也要用嘴巴", "2703": "偶尔也要用嘴巴", "2704": "偶尔也要用嘴巴", "2705": "偶尔也要用嘴巴", "2706": "嘴巴 先张开嘴巴吧", "2707": "嘴巴 先张开嘴巴吧", "2708": "嘴巴 先张开嘴巴吧", "2709": "嘴巴 先张开嘴巴吧", "2710": "嘴巴 先张开嘴巴吧", "2711": "嘴巴 先张开嘴巴吧", "2712": "嘴巴 先张开嘴巴吧", "2713": "嘴巴 先张开嘴巴吧", "2714": "嘴巴 先张开嘴巴吧", "2715": "嘴巴 先张开嘴巴吧", "2716": "", "2717": "", "2718": "", "2719": "", "2720": "", "2721": "", "2722": "---", "2723": "", "2724": "", "2725": "---", "2726": "", "2727": "---", "2728": "", "2729": "---", "2730": "", "2731": "---", "2732": "---", "2733": "---", "2734": "", "2735": "---", "2736": "", "2737": "---", "2738": "", "2739": "---", "2740": "", "2741": "---", "2742": "", "2743": "", "2744": "", "2745": "---", "2746": "", "2747": "", "2748": "", "2749": "", "2750": "不要碰到牙齿", "2751": "不要碰到牙齿", "2752": "不要碰到牙齿", "2753": "不要碰到牙齿", "2754": "不要碰到牙齿", "2755": "不要碰到牙齿", "2756": "", "2757": "", "2758": "", "2759": "---", "2760": "要多分泌点唾液", "2761": "要多分泌点唾液", "2762": "要多分泌点唾液", "2763": "要多分泌点唾液", "2764": "要多分泌点唾液", "2765": "要多分泌点唾液", "2766": "要多分泌点唾液", "2767": "", "2768": "___", "2769": "然后把舌头缠在肉棒上", "2770": "然后把舌头缠在肉棒上", "2771": "然后把舌头缠在肉棒上", "2772": "然后把舌头缠在肉棒上", "2773": "然后把舌头缠在肉棒上", "2774": "然后把舌头缠在肉棒上", "2775": "然后把舌头缠在肉棒上", "2776": "然后把舌头缠在肉棒上", "2777": "然后把舌头缠在肉棒上", "2778": "然后把舌头缠在肉棒上", "2779": "然后把舌头缠在肉棒上", "2780": "然后把舌头缠在肉棒上", "2781": "然后把舌头缠在肉棒上", "2782": "", "2783": "", "2784": "", "2785": "", "2786": "", "2787": "", "2788": "", "2789": "", "2790": "", "2791": "", "2792": "", "2793": "", "2794": "那是什么表情", "2795": "那是什么表情", "2796": "那是什么表情", "2797": "那是什么表情", "2798": "那是什么表情", "2799": "那是什么表情", "2800": "", "2801": "你能不能再配合一点呀", "2802": "你能不能再配合一点呀", "2803": "你能不能再配合一点呀", "2804": "你能不能再配合一点呀", "2805": "你能不能再配合一点呀", "2806": "你能不能再配合一点呀", "2807": "", "2808": "", "2809": "", "2810": "站起来 到检查台上", "2811": "站起来 到检查台上", "2812": "站起来 到检查台上", "2813": "站起来 到检查台上", "2814": "站起来 到检查台上", "2815": "站起来 到检查台上", "2816": "站起来 到检查台上", "2817": "站起来 到检查台上", "2818": "", "2819": "", "2820": "", "2821": "---", "2822": "", "2823": "---", "2824": "我也说了好几遍了", "2825": "我也说了好几遍了", "2826": "我也说了好几遍了", "2827": "我也说了好几遍了", "2828": "我也说了好几遍了", "2829": "我也说了好几遍了", "2830": "不想做洗手的动作", "2831": "不想做洗手的动作", "2832": "不想做洗手的动作", "2833": "不想做洗手的动作", "2834": "不想做洗手的动作", "2835": "就是因为你不配合 才变成这样", "2836": "就是因为你不配合 才变成这样", "2837": "就是因为你不配合才变成这样", "2838": "就是因为你不配合 才变成这样", "2839": "就是因为你不配合 才变成这样", "2840": "就是因为你不配合才变成这样", "2841": "就是因为你不配合 才变成这样", "2842": "就是因为你不配合 才变成这样", "2843": "知道了吗 张嘴", "2844": "知道了吗 张嘴", "2845": "知道了吗 张嘴", "2846": "知道了吗 张嘴", "2847": "知道了吗 张嘴", "2848": "知道了吗 张嘴", "2849": "知道了吗 张嘴", "2850": "知道了吗 张嘴", "2851": "", "2852": "", "2853": "", "2854": "快点张开 听话", "2855": "快点张开 听话", "2856": "快点张开 听话", "2857": "快点张开 听话", "2858": "快点张开 听话", "2859": "", "2860": "", "2861": "", "2862": "", "2863": "", "2864": "", "2865": "", "2866": "", "2867": "", "2868": "", "2869": "", "2870": "", "2871": "", "2872": "", "2873": "", "2874": "", "2875": "", "2876": "", "2877": "", "2878": "", "2879": "", "2880": "", "2881": "", "2882": "", "2883": "", "2884": "", "2885": "", "2886": "", "2887": "", "2888": "", "2889": "", "2890": "", "2891": "", "2892": "", "2893": "------", "2894": "------", "2895": "------", "2896": "", "2897": "------", "2898": "---", "2899": "------", "2900": "------", "2901": "", "2902": "------------------", "2903": "", "2904": "含进喉咙里", "2905": "含进喉咙里", "2906": "含进喉咙里", "2907": "含进喉咙里", "2908": "含进喉咙里", "2909": "", "2910": "------", "2911": "------", "2912": "---------------", "2913": "", "2914": "------", "2915": "", "2916": "------", "2917": "------------", "2918": "---------------", "2919": "------------------", "2920": "", "2921": "------", "2922": "------------------", "2923": "", "2924": "------------------", "2925": "------", "2926": "", "2927": "", "2928": "", "2929": "---", "2930": "", "2931": "", "2932": "", "2933": "别这么痛苦嘛", "2934": "别这么痛苦嘛", "2935": "别这么痛苦嘛", "2936": "别这么痛苦嘛", "2937": "别这么痛苦嘛", "2938": "有很多患者的肉棒会更大的", "2939": "有很多患者的肉棒会更大的", "2940": "有很多患者的肉棒会更大的", "2941": "有很多患者的肉棒会更大的", "2942": "有很多患者的肉棒会更大的", "2943": "有很多患者的肉棒会更大的", "2944": "有很多患者的肉棒会更大的", "2945": "有很多患者的肉棒会更大的", "2946": "有很多患者的肉棒会更大的", "2947": "有很多患者的肉棒会更大的", "2948": "", "2949": "------", "2950": "", "2951": "---", "2952": "", "2953": "---", "2954": "", "2955": "", "2956": "", "2957": "", "2958": "", "2959": "---", "2960": "---", "2961": "", "2962": "---", "2963": "只要你努力的话你妈妈获救的机率也会提高的", "2964": "只要你努力的话你妈妈获救的机率也会提高的", "2965": "只要你努力的话 你妈妈获救的机率也会提高的", "2966": "只要你努力的话你妈妈获救的机率也会提高的", "2967": "只要你努力的话你妈妈获救的机率也会提高的", "2968": "只要你努力的话你妈妈获救的机率也会提高的", "2969": "只要你努力的话你妈妈获救的机率也会提高的", "2970": "只要你努力的话你妈妈获救的机率也会提高的", "2971": "只要你努力的话你妈妈获救的机率也会提高的", "2972": "加油", "2973": "加油", "2974": "加油", "2975": "加油", "2976": "加油", "2977": "", "2978": "---", "2979": "------------", "2980": "", "2981": "------", "2982": "", "2983": "---", "2984": "", "2985": "---", "2986": "", "2987": "", "2988": "", "2989": "", "2990": "", "2991": "---", "2992": "", "2993": "", "2994": "", "2995": "---", "2996": "", "2997": "", "2998": "", "2999": "", "3000": "", "3001": "", "3002": "", "3003": "", "3004": "", "3005": "", "3006": "", "3007": "", "3008": "", "3009": "", "3010": "", "3011": "", "3012": "", "3013": "", "3014": "", "3015": "越来越好了呢", "3016": "越来越好了呢", "3017": "越来越好了呢", "3018": "越来越好了呢", "3019": "越来越好了呢", "3020": "越来越好了呢", "3021": "", "3022": "", "3023": "我再动快一点", "3024": "我再动快一点", "3025": "我再动快一点", "3026": "我再动快一点", "3027": "我再动快一点", "3028": "我再动快一点", "3029": "", "3030": "", "3031": "---", "3032": "", "3033": "", "3034": "", "3035": "", "3036": "", "3037": "------------------", "3038": "---", "3039": "", "3040": "---", "3041": "", "3042": "", "3043": "", "3044": "", "3045": "", "3046": "", "3047": "", "3048": "", "3049": "", "3050": "", "3051": "", "3052": "不错 就这样继续下去", "3053": "不错 就这样继续下去", "3054": "不错 就这样继续下去", "3055": "不错 就这样继续下去", "3056": "不错 就这样继续下去", "3057": "不错 就这样继续下去", "3058": "不错 就这样继续下去", "3059": "不错 就这样继续下去", "3060": "不错 就这样继续下去", "3061": "坚持住", "3062": "坚持住", "3063": "坚持住", "3064": "坚持住", "3065": "坚持住", "3066": "", "3067": "", "3068": "", "3069": "", "3070": "", "3071": "", "3072": "", "3073": "", "3074": "", "3075": "", "3076": "", "3077": "", "3078": "", "3079": "", "3080": "", "3081": "", "3082": "", "3083": "很好 北冈小姐", "3084": "很好 北冈小姐", "3085": "很好 北冈小姐", "3086": "很好 北冈小姐", "3087": "很好 北冈小姐", "3088": "很好 北冈小姐", "3089": "很好 北冈小姐", "3090": "很好 北冈小姐", "3091": "", "3092": "", "3093": "", "3094": "", "3095": "", "3096": "", "3097": "", "3098": "还没有结束", "3099": "还没有结束", "3100": "还没有结束", "3101": "还没有结束", "3102": "还没有结束", "3103": "", "3104": "", "3105": "", "3106": "", "3107": "", "3108": "", "3109": "", "3110": "", "3111": "", "3112": "", "3113": "", "3114": "", "3115": "", "3116": "", "3117": "", "3118": "", "3119": "", "3120": "", "3121": "", "3122": "", "3123": "", "3124": "", "3125": "", "3126": "", "3127": "", "3128": "", "3129": "", "3130": "", "3131": "", "3132": "", "3133": "", "3134": "", "3135": "", "3136": "", "3137": "", "3138": "", "3139": "", "3140": "---", "3141": "继续加油吧", "3142": "继续加油吧", "3143": "继续加油吧", "3144": "继续加油吧", "3145": "", "3146": "", "3147": "", "3148": "", "3149": "", "3150": "", "3151": "", "3152": "", "3153": "", "3154": "", "3155": "", "3156": "", "3157": "", "3158": "", "3159": "", "3160": "", "3161": "", "3162": "", "3163": "", "3164": "", "3165": "---", "3166": "", "3167": "Background", "3168": "---", "3169": "", "3170": "------", "3171": "", "3172": "---", "3173": "---", "3174": "------", "3175": "", "3176": "", "3177": "", "3178": "---", "3179": "", "3180": "HTML: ", "3181": "", "3182": "", "3183": "", "3184": "", "3185": "", "3186": "", "3187": "", "3188": "", "3189": "", "3190": "", "3191": "", "3192": "", "3193": "", "3194": "", "3195": "", "3196": "", "3197": "", "3198": "", "3199": "---", "3200": "", "3201": "", "3202": "", "3203": "", "3204": "", "3205": "Background", "3206": "", "3207": "", "3208": "", "3209": "---", "3210": "", "3211": "", "3212": "---------------", "3213": "", "3214": "", "3215": "", "3216": "---", "3217": "HTML", "3218": "", "3219": "", "3220": "", "3221": "---", "3222": "---------------", "3223": "", "3224": "---", "3225": "把身心都放松出来吧", "3226": "把身心都放松出来吧", "3227": "把身心都放松出来吧", "3228": "把身心都放松出来吧", "3229": "把身心都放松出来吧", "3230": "98室[巴花堂]永久地址489155.com把身心都放松出来吧", "3231": "98室[芭花堂]永久地址489155.com把身心都放松出来吧", "3232": "98室[巴花堂]永久地址489155.com把身心都放松出来吧", "3233": "98室[巴花堂]永久地址489155.com把身心都放松出来吧", "3234": "98室[巴花堂]永久地址489155.com把身心都放松出来吧", "3235": "98室[芭花室]永久地址489155.com把身心都放松出来吧", "3236": "把身心都放松出来吧", "3237": "", "3238": "---", "3239": "", "3240": "", "3241": "", "3242": "把腿张开 等一下", "3243": "把腿张开 等一下", "3244": "把腿张开 等一下", "3245": "把腿张开 等一下", "3246": "把腿张开 等一下", "3247": "把腿张开 等一下", "3248": "把腿张开 等一下", "3249": "把腿张开 等一下", "3250": "把腿张开 等一下", "3251": "你想做什么", "3252": "你想做什么", "3253": "你想做什么", "3254": "你想做什么", "3255": "到这一步 要做的事只有一件了吧", "3256": "到这一步 要做的事只有一件了吧", "3257": "到这一步 要做的事只有一件了吧", "3258": "到这一步 要做的事只有一件了吧", "3259": "到这一步 要做的事只有一件了吧", "3260": "求求你 这个千万不要", "3261": "求求你 这个千万不要", "3262": "求求你 这个千万不要", "3263": "求求你 这个千万不要", "3264": "求求你 这个千万不要", "3265": "求求你 这个千万不要", "3266": "求求你 这个千万不要", "3267": "为什么呢", "3268": "为什么呢", "3269": "为什么呢", "3270": "为什么呢", "3271": "为什么呢", "3272": "---", "3273": "---", "3274": "---", "3275": "---", "3276": "难道说你是第一次吗", "3277": "难道说你是第一次吗", "3278": "难道说你是第一次吗", "3279": "难道说你是第一次吗", "3280": "难道说你是第一次吗", "3281": "难道说你是第一次吗", "3282": "难道说你是第一次吗", "3283": "难道说你是第一次吗", "3284": "难道说你是第一次吗", "3285": "---", "3286": "如果是的话那我就更应该负责", "3287": "如果是的话那我就更应该负责", "3288": "如果是的话那我就更应该负责", "3289": "如果是的话那我就更应该负责", "3290": "如果是的话那我就更应该负责", "3291": "如果是的话那我就更应该负责", "3292": "如果是的话那我就更应该负责", "3293": "如果是的话那我就更应该负责", "3294": "如果是的话那我就更应该负责", "3295": "如果是的话那我就更应该负责", "3296": "帮你把处女膜捅破了", "3297": "帮你把处女膜捅破了", "3298": "帮你把处女膜捅破了", "3299": "帮你把处女膜捅破了", "3300": "帮你把处女膜捅破了", "3301": "帮你把处女膜捅破了", "3302": "帮你把处女膜捅破了", "3303": "帮你把处女膜捅破了", "3304": "可不能给VIP患者们便宜", "3305": "可不能给VIP患者们便宜", "3306": "可不能给VIP患者们便宜", "3307": "可不能给VIP患者们便宜", "3308": "可不能给VIP患者们便宜", "3309": "可不能给VIP患者们便宜", "3310": "可不能给VIP患者们便宜", "3311": "可不能给VIP患者们便宜", "3312": "可不能给VIP患者们便宜", "3313": "可不能给VIP患者们便宜", "3314": "可不能给VIP患者们便宜", "3315": "可不能给VIP患者们便宜", "3316": "可不能给VIP患者们便宜", "3317": "不要紧 不要紧", "3318": "不要紧 不要紧", "3319": "不要紧 不要紧", "3320": "不要紧 不要紧", "3321": "谁都会在遥远的路上", "3322": "谁都会在遥远的路上", "3323": "谁都会在遥远的路上", "3324": "谁都会在遥远的路上", "3325": "谁都会在遥远的路上", "3326": "谁都会在遥远的路上", "3327": "谁都会在遥远的路上", "3328": "谁都会在遥远的路上", "3329": "谁都会在遥远的路上", "3330": "谁都会在遥远的路上", "3331": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3332": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3333": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3334": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3335": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3336": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3337": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3338": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3339": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3340": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3341": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3342": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3343": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3344": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3345": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3346": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3347": "求求你 不要插进小穴 被我这样高明的想法贯穿", "3348": "你真是过方不要", "3349": "你真是过方不要", "3350": "你真是过方不要", "3351": "你真是过方不要", "3352": "你真是过方 不要", "3353": "放松点吧", "3354": "放松点吧", "3355": "放松点吧", "3356": "放松点吧", "3357": "放松点吧", "3358": "", "3359": "", "3360": "", "3361": "", "3362": "", "3363": "", "3364": "", "3365": "", "3366": "", "3367": "", "3368": "小穴好紧", "3369": "小穴好紧", "3370": "小穴好紧", "3371": "小穴好紧", "3372": "小穴好紧", "3373": "小穴好紧", "3374": "", "3375": "处女膜", "3376": "处女膜", "3377": "处女膜", "3378": "处女膜", "3379": "处女膜", "3380": "", "3381": "", "3382": "", "3383": "", "3384": "", "3385": "", "3386": "", "3387": "", "3388": "", "3389": "不要紧 只要进去了就没事了", "3390": "不要紧 只要进去了就没事了", "3391": "不要紧 只要进去了就没事了", "3392": "不要紧 只要进去了就没事了", "3393": "不要紧 只要进去了就没事了", "3394": "不要紧 只要进去了就没事了", "3395": "不要紧 只要进去了就没事了", "3396": "不要紧 只要进去了就没事了", "3397": "不要紧 只要进去了就没事了", "3398": "不要紧 只要进去了就没事了", "3399": "---", "3400": "不行马上就会习惯啦", "3401": "不行马上就会习惯啦", "3402": "不行马上就会习惯啦", "3403": "不行马上就会习惯啦", "3404": "不行 马上就会习惯啦", "3405": "不行马上就会习惯啦", "3406": "不行马上就会习惯啦", "3407": "不行马上就会习惯啦", "3408": "不行马上就会习惯啦", "3409": "不行马上就会习惯啦", "3410": "真的不行 不要", "3411": "真的不行 不要", "3412": "真的不行 不要", "3413": "真的不行 不要", "3414": "真的不行 不要", "3415": "真的不行 不要", "3416": "真的不行 不要", "3417": "真的不行 不要", "3418": "真的不行 不要", "3419": "", "3420": "", "3421": "", "3422": "", "3423": "", "3424": "---", "3425": "---", "3426": "---", "3427": "------", "3428": "---", "3429": "---", "3430": "", "3431": "---", "3432": "---", "3433": "", "3434": "---", "3435": "只有刚开始会痛", "3436": "只有刚开始会痛", "3437": "只有刚开始会痛", "3438": "只有刚开始会痛", "3439": "只有刚开始会痛", "3440": "只有刚开始会痛", "3441": "只有刚开始会痛", "3442": "不要 请住手 我不行了", "3443": "不要 请住手 我不行了", "3444": "不要 请住手 我不行了", "3445": "不要 请住手 我不行了", "3446": "不要 请住手 我不行了", "3447": "不要 请住手 我不行了", "3448": "不要 请住手 我不行了", "3449": "不要 请住手 我不行了", "3450": "不要 请住手 我不行了", "3451": "不要 请住手 我不行了", "3452": "---", "3453": "---", "3454": "---", "3455": "", "3456": "", "3457": "", "3458": "", "3459": "", "3460": "", "3461": "", "3462": "", "3463": "", "3464": "", "3465": "深呼吸 深呼吸", "3466": "深呼吸 深呼吸", "3467": "深呼吸 深呼吸", "3468": "深呼吸 深呼吸", "3469": "深呼吸 深呼吸", "3470": "深呼吸 深呼吸", "3471": "深呼吸 深呼吸", "3472": "深呼吸 深呼吸", "3473": "", "3474": "---", "3475": "---", "3476": "---", "3477": "", "3478": "", "3479": "---", "3480": "---", "3481": "", "3482": "", "3483": "", "3484": "", "3485": "", "3486": "", "3487": "", "3488": "你慢慢习惯了吧 不行", "3489": "你慢慢习惯了吧 不行", "3490": "你慢慢习惯了吧 不行", "3491": "你慢慢习惯了吧 不行", "3492": "你慢慢习惯了吧 不行", "3493": "你慢慢习惯了吧 不行", "3494": "你慢慢习惯了吧 不行", "3495": "你慢慢习惯了吧 不行", "3496": "你慢慢习惯了吧 不行", "3497": "你慢慢习惯了吧 不行", "3498": "", "3499": "", "3500": "", "3501": "", "3502": "", "3503": "", "3504": "", "3505": "", "3506": "医生请住手吧 没事的", "3507": "医生请住手吧 没事的", "3508": "医生请住手吧 没事的", "3509": "医生请住手吧 没事的", "3510": "医生请住手吧 没事的", "3511": "医生请住手吧 没事的", "3512": "", "3513": "我做不到", "3514": "我做不到", "3515": "我做不到", "3516": "我做不到", "3517": "", "3518": "", "3519": "", "3520": "", "3521": "", "3522": "", "3523": "", "3524": "", "3525": "", "3526": "", "3527": "真不错呢 看到你处女膜被摸", "3528": "真不错呢 看到你处女膜被摸", "3529": "真不错呢 看到你处女膜被摸", "3530": "真不错呢 看到你处女膜被摸", "3531": "真不错呢 看到你处女膜被摸", "3532": "真不错呢 看到你处女膜被摸", "3533": "真不错呢 看到你处女膜被摸", "3534": "真不错呢 看到你处女膜被摸", "3535": "被我侵犯的样子让我好兴奋", "3536": "被我侵犯的样子让我好兴奋", "3537": "被我侵犯的样子让我好兴奋", "3538": "被我侵犯的样子让我好兴奋", "3539": "被我侵犯的样子让我好兴奋", "3540": "被我侵犯的样子让我好兴奋", "3541": "被我侵犯的样子让我好兴奋", "3542": "被我侵犯的样子让我好兴奋", "3543": "被我侵犯的样子让我好兴奋", "3544": "被我侵犯的样子让我好兴奋", "3545": "被我侵犯的样子让我好兴奋", "3546": "", "3547": "", "3548": "", "3549": "", "3550": "---------------", "3551": "---", "3552": "---", "3553": "---", "3554": "---", "3555": "", "3556": "---", "3557": "", "3558": "------------", "3559": "", "3560": "", "3561": "", "3562": "", "3563": "", "3564": "", "3565": "", "3566": "", "3567": "", "3568": "", "3569": "", "3570": "", "3571": "", "3572": "", "3573": "", "3574": "", "3575": "---", "3576": "我再插深一点", "3577": "我再插深一点", "3578": "我再插深一点", "3579": "我再插深一点", "3580": "我再插深一点", "3581": "我再插深一点", "3582": "我再插深一点", "3583": "我再插深一点", "3584": "我再插深一点", "3585": "我再插深一点", "3586": "请住手", "3587": "请住手", "3588": "请住手", "3589": "请住手", "3590": "请住手", "3591": "请住手", "3592": "", "3593": "", "3594": "", "3595": "", "3596": "---", "3597": "---", "3598": "", "3599": "", "3600": "------------------", "3601": "------", "3602": "------------------", "3603": "我不行了啦 就快结束了", "3604": "我不行了啦 就快结束了", "3605": "我不行了啦 就快结束了", "3606": "我不行了啦 就快结束了", "3607": "我不行了啦 就快结束了", "3608": "我不行了啦 就快结束了", "3609": "我不行了啦 就快结束了", "3610": "我不行了啦 就快结束了", "3611": "我不行了啦 就快结束了", "3612": "我不行了啦 就快结束了", "3613": "我不行了啦 就快结束了", "3614": "------------------", "3615": "快点结束 求求你", "3616": "快点结束 求求你", "3617": "快点结束 求求你", "3618": "快点结束 求求你", "3619": "快点结束 求求你", "3620": "快点结束 求求你", "3621": "------------------", "3622": "", "3623": "求求你 对不起 我不行了", "3624": "求求你 对不起 我不行了", "3625": "求求你 对不起 我不行了", "3626": "求求你 对不起 我不行了", "3627": "求求你 对不起 我不行了", "3628": "求求你 对不起 我不行了", "3629": "求求你 对不起 我不行了", "3630": "不用道歉啦", "3631": "不用道歉啦", "3632": "不用道歉啦", "3633": "不用道歉啦", "3634": "不用道歉啦", "3635": "你只要帮我就好", "3636": "你只要帮我就好", "3637": "你只要帮我就好", "3638": "你只要帮我就好", "3639": "我不行 真的不行", "3640": "我不行 真的不行", "3641": "我不行 真的不行", "3642": "我不行 真的不行", "3643": "我不行 真的不行", "3644": "------------------", "3645": "", "3646": "------------------", "3647": "------------------", "3648": "------", "3649": "---", "3650": "------", "3651": "------------------", "3652": "------------------", "3653": "------", "3654": "------", "3655": "------------", "3656": "------------------", "3657": "------", "3658": "---", "3659": "------", "3660": "------", "3661": "", "3662": "---", "3663": "---", "3664": "", "3665": "------", "3666": "---", "3667": "", "3668": "", "3669": "---------------", "3670": "---", "3671": "", "3672": "", "3673": "", "3674": "", "3675": "", "3676": "", "3677": "", "3678": "", "3679": "", "3680": "", "3681": "", "3682": "", "3683": "---", "3684": "", "3685": "---", "3686": "", "3687": "", "3688": "---", "3689": "", "3690": "", "3691": "", "3692": "", "3693": "", "3694": "", "3695": "你现在也舒服起来了嘛", "3696": "你现在也舒服起来了嘛", "3697": "你现在也舒服起来了嘛", "3698": "你现在也舒服起来了嘛", "3699": "你现在也舒服起来了嘛", "3700": "你现在也舒服起来了嘛", "3701": "", "3702": "", "3703": "", "3704": "", "3705": "", "3706": "", "3707": "---", "3708": "", "3709": "", "3710": "", "3711": "", "3712": "", "3713": "---", "3714": "", "3715": "---", "3716": "---", "3717": "---", "3718": "", "3719": "---", "3720": "", "3721": "---", "3722": "", "3723": "", "3724": "", "3725": "", "3726": "", "3727": "", "3728": "", "3729": "", "3730": "", "3731": "", "3732": "", "3733": "", "3734": "", "3735": "", "3736": "", "3737": "", "3738": "", "3739": "", "3740": "", "3741": "", "3742": "", "3743": "", "3744": "", "3745": "", "3746": "", "3747": "", "3748": "现在做的就是所谓的正常位", "3749": "现在做的就是所谓的正常位", "3750": "现在做的就是所谓的正常位", "3751": "现在做的就是所谓的正常位", "3752": "现在做的就是所谓的正常位", "3753": "现在做的就是所谓的正常位", "3754": "现在做的 就是所谓的正常位", "3755": "现在做的就是所谓的正常位", "3756": "现在做的就是所谓的正常位", "3757": "现在做的就是所谓的正常位", "3758": "现在做的就是所谓的正常位", "3759": "根据患者的不同也有各种各样的体位", "3760": "根据患者的不同也有各种各样的体位", "3761": "根据患者的不同也有各种各样的体位", "3762": "根据患者的不同也有各种各样的体位", "3763": "根据患者的不同也有各种各样的体位", "3764": "根据患者的不同也有各种各样的体位", "3765": "根据患者的不同 也有各种各样的体位", "3766": "根据患者的不同也有各种各样的体位", "3767": "根据患者的不同也有各种各样的体位", "3768": "根据患者的不同也有各种各样的体位", "3769": "根据患者的不同也有各种各样的体位", "3770": "根据患者的不同也有各种各样的体位", "3771": "所以就和我一起试试吧", "3772": "所以就和我一起试试吧", "3773": "所以就和我一起试试吧", "3774": "所以就和我一起试试吧", "3775": "不要 我不要", "3776": "不要 我不要", "3777": "不要 我不要", "3778": "不要 我不要", "3779": "不要 我不要", "3780": "", "3781": "", "3782": "", "3783": "", "3784": "", "3785": "", "3786": "你可以趴起来了", "3787": "你可以趴起来了", "3788": "你可以趴起来了", "3789": "你可以趴起来了", "3790": "你可以趴起来了", "3791": "你可以趴起来了", "3792": "你可以趴起来了", "3793": "", "3794": "快点", "3795": "快点", "3796": "快点", "3797": "快点", "3798": "快点", "3799": "", "3800": "", "3801": "---", "3802": "", "3803": "---", "3804": "", "3805": "", "3806": "---", "3807": "", "3808": "", "3809": "", "3810": "---", "3811": "", "3812": "", "3813": "", "3814": "", "3815": "", "3816": "", "3817": "", "3818": "", "3819": "", "3820": "", "3821": "A", "3822": "", "3823": "", "3824": "", "3825": "", "3826": "", "3827": "", "3828": "", "3829": "", "3830": "不要 不要乱动", "3831": "不要 不要乱动", "3832": "不要 不要乱动", "3833": "不要不要乱动", "3834": "不要 不要乱动", "3835": "不要 不要乱动", "3836": "要试试看各种体位", "3837": "要试试看各种体位", "3838": "要试试看各种体位", "3839": "要试试看各种体位", "3840": "要试试看各种体位", "3841": "我做不到", "3842": "我做不到", "3843": "真正上场的时候 你就不会太紧张了", "3844": "真正上场的时候 你就不会太紧张了", "3845": "真正上场的时候 你就不会太紧张了", "3846": "真正上场的时候 你就不会太紧张了", "3847": "真正上场的时候 你就不会太紧张了", "3848": "真正上场的时候 你就不会太紧张了", "3849": "真正上场的时候你就不会太紧张了", "3850": "真正上场的时候 你就不会太紧张了", "3851": "真正上场的时候 你就不会太紧张了", "3852": "真正上场的时候 你就不会太紧张了", "3853": "", "3854": "", "3855": "", "3856": "", "3857": "", "3858": "", "3859": "", "3860": "", "3861": "", "3862": "", "3863": "", "3864": "", "3865": "", "3866": "", "3867": "", "3868": "", "3869": "", "3870": "", "3871": "", "3872": "", "3873": "", "3874": "毕竟有些人就是喜欢那种女性嘛", "3875": "毕竟有些人 就是喜欢那种女性嘛", "3876": "毕竟有些人 就是喜欢那种女性嘛", "3877": "毕竟有些人 就是喜欢那种女性嘛", "3878": "毕竟有些人 就是喜欢那种女性嘛", "3879": "毕竟有些人 就是喜欢那种女性嘛", "3880": "毕竟有些人 就是喜欢那种女性嘛", "3881": "毕竟有些人 就是喜欢那种女性嘛", "3882": "毕竟有些人 就是喜欢那种女性嘛", "3883": "毕竟有些人 就是喜欢那种女性嘛", "3884": "毕竟有些人 就是喜欢那种女性嘛", "3885": "毕竟有些人 就是喜欢那种女性嘛", "3886": "毕竟有些人 就是喜欢那种女性嘛", "3887": "我做不到 已经不行了", "3888": "我做不到 已经不行了", "3889": "我做不到 已经不行了", "3890": "我做不到 已经不行了", "3891": "我做不到 已经不行了", "3892": "我做不到 已经不行了", "3893": "我做不到 已经不行了", "3894": "我做不到 已经不行了", "3895": "我做不到 已经不行了", "3896": "", "3897": "", "3898": "", "3899": "HTML", "3900": "", "3901": "这种事怎么可能做得到呢 明天可就来不及适应了", "3902": "这种事怎么可能做得到呢 明天可就来不及适应了", "3903": "这种事怎么可能做得到呢 明天可就来不及适应了", "3904": "这种事怎么可能做得到呢 明天可就来不及适应了", "3905": "这种事怎么可能做得到呢 明天可就来不及适应了", "3906": "这种事怎么可能做得到呢 明天可就来不及适应了", "3907": "这种事怎么可能做得到呢 明天可就来不及适应了", "3908": "这种事怎么可能做得到呢 明天可就来不及适应了", "3909": "---", "3910": "", "3911": "---", "3912": "---", "3913": "---", "3914": "------------------", "3915": "------", "3916": "------", "3917": "---", "3918": "------", "3919": "", "3920": "------", "3921": "---", "3922": "---", "3923": "", "3924": "---", "3925": "", "3926": "", "3927": "------", "3928": "---", "3929": "---", "3930": "---", "3931": "---", "3932": "---", "3933": "---", "3934": "---", "3935": "------", "3936": "", "3937": "---", "3938": "---", "3939": "------", "3940": "", "3941": "---", "3942": "---", "3943": "---", "3944": "---", "3945": "---", "3946": "", "3947": "", "3948": "------", "3949": "", "3950": "", "3951": "", "3952": "", "3953": "", "3954": "抬起头来 好好看看自己现在身处的状况", "3955": "抬起头来 好好看看自己现在身处的状况", "3956": "抬起头来 好好看看自己现在身处的状况", "3957": "抬起头来 好好看看自己现在身处的状况", "3958": "抬起头来 好好看看自己现在身处的状况", "3959": "抬起头来 好好看看自己现在身处的状况", "3960": "抬起头来 好好看看自己现在身处的状况", "3961": "抬起头来 好好看看自己现在身处的状况", "3962": "抬起头来 好好看看自己现在身处的状况", "3963": "抬起头来 好好看看自己现在身处的状况", "3964": "抬起头来 好好看看自己现在身处的状况", "3965": "抬起头来 好好看看自己现在身处的状况", "3966": "抬起头来 好好看看自己现在身处的状况", "3967": "抬起头来 好好看看自己现在身处的状况", "3968": "抬起头来 好好看看自己现在身处的状况", "3969": "抬起头来 好好看看自己现在身处的状况", "3970": "", "3971": "", "3972": "", "3973": "", "3974": "", "3975": "", "3976": "", "3977": "", "3978": "", "3979": "", "3980": "", "3981": "", "3982": "", "3983": "", "3984": "", "3985": "", "3986": "", "3987": "", "3988": "", "3989": "", "3990": "", "3991": "", "3992": "", "3993": "", "3994": "", "3995": "", "3996": "", "3997": "", "3998": "", "3999": "", "4000": "", "4001": "", "4002": "", "4003": "", "4004": "", "4005": "", "4006": "", "4007": "", "4008": "", "4009": "", "4010": "", "4011": "", "4012": "", "4013": "", "4014": "", "4015": "", "4016": "", "4017": "", "4018": "不行 请住手", "4019": "不行 请住手", "4020": "不行 请住手", "4021": "不行 请住手", "4022": "不行 请住手", "4023": "不行 请住手", "4024": "不行 请住手", "4025": "不行 请住手", "4026": "", "4027": "", "4028": "", "4029": "求求你 放过我吧 我不会放过你", "4030": "求求你 放过我吧 我不会放过你", "4031": "求求你 放过我吧 我不会放过你", "4032": "求求你 放过我吧 我不会放过你", "4033": "求求你 放过我吧 我不会放过你", "4034": "求求你 放过我吧 我不会放过你", "4035": "求求你 放过我吧 我不会放过你", "4036": "求求你 放过我吧 我不会放过你", "4037": "求求你 放过我吧 我不会放过你", "4038": "求求你 放过我吧 我不会放过你", "4039": "求求你 放过我吧 我不会放过你", "4040": "求求你 放过我吧 我不会放过你", "4041": "", "4042": "", "4043": "", "4044": "", "4045": "", "4046": "", "4047": "---", "4048": "", "4049": "", "4050": "", "4051": "", "4052": "", "4053": "", "4054": "", "4055": "", "4056": "", "4057": "", "4058": "", "4059": "", "4060": "", "4061": "", "4062": "", "4063": "", "4064": "", "4065": "", "4066": "", "4067": "", "4068": "", "4069": "", "4070": "", "4071": "", "4072": "", "4073": "", "4074": "", "4075": "", "4076": "", "4077": "", "4078": "", "4079": "", "4080": "---", "4081": "", "4082": "", "4083": "", "4084": "---", "4085": "", "4086": "", "4087": "", "4088": "", "4089": "", "4090": "------", "4091": "---", "4092": "---", "4093": "------------------", "4094": "---", "4095": "", "4096": "---", "4097": "---", "4098": "---", "4099": "---", "4100": "------", "4101": "---", "4102": "---", "4103": "", "4104": "", "4105": "", "4106": "---", "4107": "", "4108": "", "4109": "", "4110": "", "4111": "", "4112": "", "4113": "", "4114": "", "4115": "", "4116": "就是这种感觉", "4117": "就是这种感觉", "4118": "就是这种感觉", "4119": "就是这种感觉", "4120": "就是这种感觉", "4121": "就是这种感觉", "4122": "就是这种感觉", "4123": "", "4124": "", "4125": "", "4126": "", "4127": "", "4128": "", "4129": "", "4130": "", "4131": "要插进小穴最里面才可以", "4132": "要插进小穴最里面才可以", "4133": "要插进小穴最里面才可以", "4134": "要插进小穴最里面才可以", "4135": "要插进小穴最里面才可以", "4136": "要插进小穴最里面才可以", "4137": "要插进小穴最里面才可以", "4138": "要插进小穴最里面才可以", "4139": "---", "4140": "---", "4141": "", "4142": "", "4143": "", "4144": "", "4145": "---", "4146": "", "4147": "---", "4148": "", "4149": "", "4150": "", "4151": "", "4152": "---", "4153": "", "4154": "", "4155": "", "4156": "", "4157": "", "4158": "", "4159": "---", "4160": "", "4161": "", "4162": "", "4163": "", "4164": "", "4165": "", "4166": "", "4167": "", "4168": "", "4169": "", "4170": "", "4171": "", "4172": "", "4173": "", "4174": "", "4175": "", "4176": "---", "4177": "", "4178": "", "4179": "", "4180": "", "4181": "", "4182": "", "4183": "", "4184": "", "4185": "", "4186": "", "4187": "", "4188": "---", "4189": "", "4190": "", "4191": "", "4192": "---", "4193": "---------------", "4194": "", "4195": "", "4196": "", "4197": "---------------", "4198": "", "4199": "------", "4200": "------", "4201": "------", "4202": "---", "4203": "---", "4204": "", "4205": "", "4206": "别再这样了 不行", "4207": "别再这样了 不行", "4208": "别再这样了 不行", "4209": "别再这样了 不行", "4210": "别再这样了 不行", "4211": "别再这样了 不行", "4212": "正好舒服起来了 不会停的", "4213": "正好舒服起来了 不会停的", "4214": "正好舒服起来了 不会停的", "4215": "正好舒服起来了 不会停的", "4216": "正好舒服起来了 不会停的", "4217": "正好舒服起来了 不会停的", "4218": "正好舒服起来了 不会停的", "4219": "---", "4220": "", "4221": "住手", "4222": "住手", "4223": "住手", "4224": "住手", "4225": "住手", "4226": "", "4227": "", "4228": "", "4229": "", "4230": "", "4231": "", "4232": "", "4233": "救救我", "4234": "救救我", "4235": "救救我", "4236": "救救我", "4237": "救救我", "4238": "", "4239": "", "4240": "", "4241": "", "4242": "", "4243": "", "4244": "", "4245": "", "4246": "", "4247": "", "4248": "", "4249": "", "4250": "", "4251": "", "4252": "", "4253": "", "4254": "", "4255": "", "4256": "", "4257": "", "4258": "", "4259": "", "4260": "", "4261": "", "4262": "", "4263": "", "4264": "", "4265": "", "4266": "", "4267": "", "4268": "", "4269": "还没结束呢 把腿抬起来", "4270": "还没结束呢 把腿抬起来", "4271": "还没结束呢 把腿抬起来", "4272": "还没结束呢 把腿抬起来", "4273": "还没结束呢 把腿抬起来", "4274": "还没结束呢 把腿抬起来", "4275": "还没结束呢 把腿抬起来", "4276": "还没结束呢 把腿抬起来", "4277": "还没结束呢 把腿抬起来", "4278": "还没结束呢 把腿抬起来", "4279": "还没结束呢 把腿抬起来", "4280": "", "4281": "", "4282": "---------------", "4283": "", "4284": "", "4285": "", "4286": "", "4287": "", "4288": "", "4289": "", "4290": "", "4291": "", "4292": "", "4293": "", "4294": "", "4295": "", "4296": "", "4297": "", "4298": "不行 不要", "4299": "不行 不要", "4300": "不行 不要", "4301": "不行 不要", "4302": "不行 不要", "4303": "不行 不要", "4304": "不行 不要", "4305": "不行 不要", "4306": "不行 不要", "4307": "不行 不要", "4308": "", "4309": "", "4310": "", "4311": "看清楚我的脸", "4312": "看清楚我的脸", "4313": "看清楚我的脸", "4314": "看清楚我的脸", "4315": "看清楚我的脸", "4316": "", "4317": "", "4318": "第一次的对象可是我这个医务室长", "4319": "第一次的对象 可是我这个医务室长", "4320": "第一次的对象可是我这个医务室长", "4321": "第一次的对象 可是我这个医务室长", "4322": "第一次的对象可是我这个医务室长", "4323": "第一次的对象 可是我这个医务室长", "4324": "第一次的对象 可是我这个医务室长", "4325": "第一次的对象可是我这个医务室长", "4326": "第一次的对象可是我这个医务室长", "4327": "第一次的对象 可是我这个医务室长", "4328": "第一次的对象可是我这个医务室长", "4329": "第一次的对象 可是我这个医务室长", "4330": "不要 我不要", "4331": "不要 我不要", "4332": "不要 我不要", "4333": "不要 我不要", "4334": "不要 我不要", "4335": "不要 我不要", "4336": "不要 我不要", "4337": "---------------", "4338": "------", "4339": "------------------", "4340": "", "4341": "把眼睛睁开看过来", "4342": "把眼睛睁开看过来", "4343": "把眼睛睁开看过来", "4344": "把眼睛睁开看过来", "4345": "把眼睛睁开看过来", "4346": "把眼睛睁开看过来", "4347": "不要 不可以", "4348": "不要 不可以", "4349": "不要 不可以", "4350": "不要 不可以", "4351": "不要 不可以", "4352": "不要 不可以", "4353": "不要 不可以", "4354": "不要 不可以", "4355": "不要 不可以", "4356": "以后你会觉得第一次", "4357": "以后你会觉得第一次", "4358": "以后你会觉得第一次", "4359": "以后你会觉得第一次", "4360": "以后你会觉得第一次", "4361": "以后你会觉得第一次", "4362": "以后你会觉得第一次", "4363": "以后你会觉得第一次", "4364": "跟权藤医生做真的太好了", "4365": "跟权藤医生做真的太好了", "4366": "跟权藤医生做真的太好了", "4367": "跟权藤医生做真的太好了", "4368": "跟权藤医生做真的太好了", "4369": "跟权藤医生做真的太好了", "4370": "跟权藤医生做真的太好了", "4371": "跟权藤医生做真的太好了", "4372": "跟权藤医生做真的太好了", "4373": "我不要 不可以 住手", "4374": "我不要 不可以 住手", "4375": "我不要 不可以 住手", "4376": "我不要 不可以 住手", "4377": "我不要 不可以 住手", "4378": "我不要 不可以 住手", "4379": "我不要 不可以 住手", "4380": "我不要 不可以 住手", "4381": "我不要 不可以 住手", "4382": "我不要 不可以 住手", "4383": "我不要 不可以 住手", "4384": "我不要 不可以 住手", "4385": "我不要 不可以 住手", "4386": "", "4387": "", "4388": "", "4389": "", "4390": "", "4391": "", "4392": "------------------", "4393": "", "4394": "---", "4395": "让我用力搅动里面", "4396": "让我用力搅动里面", "4397": "让我用力搅动里面", "4398": "让我用力搅动里面", "4399": "让我用力搅动里面", "4400": "让我用力搅动里面", "4401": "让我用力搅动里面", "4402": "让我用力搅动里面", "4403": "让我用力搅动里面", "4404": "让我用力搅动里面", "4405": "让我用力搅动里面", "4406": "---", "4407": "---", "4408": "------", "4409": "", "4410": "------", "4411": "不行", "4412": "不行", "4413": "不行", "4414": "不行", "4415": "------------------", "4416": "------------------", "4417": "---", "4418": "", "4419": "---------------", "4420": "------", "4421": "------", "4422": "------", "4423": "------", "4424": "------", "4425": "", "4426": "------", "4427": "------", "4428": "---------------", "4429": "------------------", "4430": "------", "4431": "------", "4432": "---", "4433": "------", "4434": "------", "4435": "------------------", "4436": "------", "4437": "------", "4438": "------------------", "4439": "", "4440": "------------------", "4441": "", "4442": "", "4443": "------", "4444": "------------------", "4445": "---", "4446": "------------------", "4447": "------", "4448": "", "4449": "--- ---", "4450": "------------------", "4451": "------------------", "4452": "------", "4453": "------", "4454": "------------------", "4455": "------", "4456": "------", "4457": "---", "4458": "------", "4459": "---", "4460": "--- ---", "4461": "------------", "4462": "------", "4463": "---", "4464": "---------------", "4465": "", "4466": "---", "4467": "------", "4468": "", "4469": "---", "4470": "---", "4471": "------", "4472": "", "4473": "---", "4474": "------", "4475": "---", "4476": "---", "4477": "------", "4478": "---", "4479": "---", "4480": "---", "4481": "---", "4482": "---", "4483": "", "4484": "------", "4485": "", "4486": "------", "4487": "", "4488": "---------------", "4489": "---", "4490": "------", "4491": "---", "4492": "------", "4493": "---", "4494": "------------------", "4495": "", "4496": "---", "4497": "---", "4498": "---", "4499": "------------------", "4500": "", "4501": "", "4502": "---", "4503": "---", "4504": "", "4505": "---", "4506": "", "4507": "", "4508": "", "4509": "", "4510": "", "4511": "", "4512": "", "4513": "", "4514": "", "4515": "", "4516": "", "4517": "", "4518": "你刚刚感觉到了", "4519": "你刚刚感觉到了", "4520": "你刚刚感觉到了", "4521": "你刚刚感觉到了", "4522": "你刚刚感觉到了", "4523": "你刚刚感觉到了", "4524": "", "4525": "", "4526": "", "4527": "用力抓住我", "4528": "用力抓住我", "4529": "用力抓住我", "4530": "用力抓住我", "4531": "用力抓住我", "4532": "用力抓住我", "4533": "", "4534": "", "4535": "", "4536": "---", "4537": "---", "4538": "------", "4539": "", "4540": "", "4541": "", "4542": "", "4543": "", "4544": "", "4545": "", "4546": "", "4547": "", "4548": "", "4549": "", "4550": "", "4551": "", "4552": "", "4553": "", "4554": "", "4555": "", "4556": "", "4557": "", "4558": "", "4559": "", "4560": "这个是骑乘位", "4561": "这个是骑乘位", "4562": "这个是骑乘位", "4563": "这个是骑乘位", "4564": "这个是骑乘位", "4565": "这个是骑乘位", "4566": "这个是骑乘位", "4567": "这个是骑乘位", "4568": "", "4569": "", "4570": "", "4571": "", "4572": "", "4573": "", "4574": "", "4575": "", "4576": "", "4577": "", "4578": "", "4579": "", "4580": "", "4581": "", "4582": "", "4583": "", "4584": "", "4585": "不要 不可以", "4586": "不要 不可以", "4587": "不要 不可以", "4588": "不要 不可以", "4589": "不要 不可以", "4590": "不要 不可以", "4591": "不要 不可以", "4592": "", "4593": "---", "4594": "---", "4595": "---", "4596": "---", "4597": "", "4598": "---", "4599": "---", "4600": "---", "4601": "---", "4602": "---------------", "4603": "---", "4604": "医生 请住手", "4605": "医生 请住手", "4606": "医生 请住手", "4607": "医生 请住手", "4608": "医生 请住手", "4609": "医生 请住手", "4610": "医生 请住手", "4611": "医生 请住手", "4612": "---", "4613": "", "4614": "", "4615": "---", "4616": "---", "4617": "---", "4618": "---", "4619": "", "4620": "------------------", "4621": "", "4622": "------", "4623": "", "4624": "", "4625": "", "4626": "", "4627": "", "4628": "", "4629": "", "4630": "", "4631": "", "4632": "", "4633": "", "4634": "", "4635": "", "4636": "", "4637": "", "4638": "", "4639": "", "4640": "我都说了你没必要忍耐的", "4641": "我都说了你没必要忍耐的", "4642": "我都说了你没必要忍耐的", "4643": "我都说了你没必要忍耐的", "4644": "我都说了你没必要忍耐的", "4645": "我都说了你没必要忍耐的", "4646": "尽情舒服起来", "4647": "尽情舒服起来", "4648": "尽情舒服起来", "4649": "尽情舒服起来", "4650": "不要 把手撑在后面试试吧", "4651": "不要 把手撑在后面试试吧", "4652": "不要 把手撑在后面试试吧", "4653": "不要 把手撑在后面试试吧", "4654": "不要把手撑在后面试试吧", "4655": "不要 把手撑在后面试试吧", "4656": "不要 把手撑在后面试试吧", "4657": "不要 把手撑在后面试试吧", "4658": "不要 把手撑在后面试试吧", "4659": "不要 把手撑在后面试试吧", "4660": "", "4661": "", "4662": "", "4663": "", "4664": "", "4665": "", "4666": "", "4667": "", "4668": "", "4669": "", "4670": "", "4671": "", "4672": "", "4673": "", "4674": "", "4675": "", "4676": "", "4677": "", "4678": "", "4679": "", "4680": "", "4681": "", "4682": "", "4683": "等一下 别再这样了", "4684": "等一下 别再这样了", "4685": "等一下 别再这样了", "4686": "等一下 别再这样了", "4687": "等一下 别再这样了", "4688": "等一下 别再这样了", "4689": "", "4690": "", "4691": "", "4692": "", "4693": "", "4694": "", "4695": "", "4696": "不要 不可以", "4697": "不要 不可以", "4698": "不要 不可以", "4699": "不要 不可以", "4700": "不要 不可以", "4701": "不要 不可以", "4702": "不要 不可以", "4703": "不要 求求你停下来", "4704": "不要 求求你停下来", "4705": "不要 求求你停下来", "4706": "不要 求求你停下来", "4707": "不要 求求你停下来", "4708": "不要 求求你停下来", "4709": "不要 求求你停下来", "4710": "------", "4711": "---", "4712": "", "4713": "---", "4714": "------------------", "4715": "---", "4716": "---", "4717": "---", "4718": "---", "4719": "", "4720": "", "4721": "", "4722": "---", "4723": "", "4724": "", "4725": "", "4726": "", "4727": "------------", "4728": "", "4729": "", "4730": "", "4731": "", "4732": "", "4733": "", "4734": "", "4735": "", "4736": "", "4737": "", "4738": "", "4739": "", "4740": "", "4741": "", "4742": "", "4743": "", "4744": "再做点别的吧", "4745": "再做点别的吧", "4746": "再做点别的吧", "4747": "再做点别的吧", "4748": "再做点别的吧", "4749": "", "4750": "", "4751": "", "4752": "接吻呢 接吻", "4753": "接吻呢 接吻", "4754": "接吻呢 接吻", "4755": "接吻呢 接吻", "4756": "接吻呢 接吻", "4757": "接吻呢 接吻", "4758": "为什么不接吻呢", "4759": "为什么不接吻呢", "4760": "为什么不接吻呢", "4761": "为什么不接吻呢", "4762": "为什么不接吻呢", "4763": "为什么不接吻呢", "4764": "为什么不接吻呢", "4765": "", "4766": "", "4767": "", "4768": "", "4769": "", "4770": "", "4771": "", "4772": "", "4773": "", "4774": "", "4775": "", "4776": "", "4777": "", "4778": "", "4779": "", "4780": "", "4781": "", "4782": "", "4783": "", "4784": "", "4785": "别总是反抗哦", "4786": "别总是反抗哦", "4787": "别总是反抗哦", "4788": "别总是反抗哦", "4789": "别总是反抗哦", "4790": "别总是反抗哦", "4791": "别总是反抗哦", "4792": "别总是反抗哦", "4793": "别总是反抗哦", "4794": "别总是反抗哦", "4795": "别总是反抗哦", "4796": "别总是反抗哦", "4797": "", "4798": "", "4799": "", "4800": "", "4801": "", "4802": "", "4803": "", "4804": "---", "4805": "", "4806": "", "4807": "", "4808": "", "4809": "", "4810": "---", "4811": "", "4812": "", "4813": "", "4814": "------", "4815": "", "4816": "", "4817": "", "4818": "我是要负起责任的", "4819": "我是要负起责任的", "4820": "我是要负起责任的", "4821": "我是要负起责任的", "4822": "我是要负起责任的", "4823": "我是要负起责任的", "4824": "我是要负起责任的", "4825": "我是要负起责任的", "4826": "", "4827": "即使跟VIP患者接触 我也会这样帮你的", "4828": "即使跟VIP患者接触 我也会这样帮你的", "4829": "即使跟VIP患者接触 我也会这样帮你的", "4830": "即使跟VIP患者接触 我也会这样帮你的", "4831": "即使跟VIP患者接触 我也会这样帮你的", "4832": "即使跟VIP患者接触 我也会这样帮你的", "4833": "即使跟VIP患者接触 我也会这样帮你的", "4834": "即使跟VIP患者接触 我也会这样帮你的", "4835": "即使跟VIP患者接触 我也会这样帮你的", "4836": "即使跟VIP患者接触 我也会这样帮你的", "4837": "", "4838": "", "4839": "", "4840": "", "4841": "", "4842": "", "4843": "", "4844": "", "4845": "", "4846": "", "4847": "", "4848": "", "4849": "---", "4850": "", "4851": "", "4852": "", "4853": "---", "4854": "", "4855": "", "4856": "", "4857": "", "4858": "", "4859": "", "4860": "", "4861": "---", "4862": "---", "4863": "", "4864": "------", "4865": "", "4866": "---", "4867": "", "4868": "", "4869": "", "4870": "", "4871": "", "4872": "---", "4873": "", "4874": "---------------", "4875": "", "4876": "", "4877": "", "4878": "", "4879": "危险 危险 要倒了", "4880": "危险 危险 要倒了", "4881": "危险 危险 要倒了", "4882": "危险 危险 要倒了", "4883": "危险 危险 要倒了", "4884": "危险 危险 要倒了", "4885": "危险 危险 要倒了", "4886": "危险 危险 要倒了", "4887": "", "4888": "", "4889": "", "4890": "", "4891": "", "4892": "", "4893": "", "4894": "", "4895": "", "4896": "你躺下去吧", "4897": "你躺下去吧", "4898": "你躺下去吧", "4899": "你躺下去吧", "4900": "你躺下去吧", "4901": "", "4902": "果然 第一次 这个姿势最好", "4903": "果然 第一次 这个姿势最好", "4904": "果然 第一次 这个姿势最好", "4905": "果然 第一次 这个姿势最好", "4906": "果然 第一次 这个姿势最好", "4907": "果然 第一次 这个姿势最好", "4908": "果然 第一次 这个姿势最好", "4909": "果然 第一次 这个姿势最好", "4910": "果然 第一次 这个姿势最好", "4911": "果然 第一次 这个姿势最好", "4912": "果然 第一次 这个姿势最好", "4913": "", "4914": "", "4915": "", "4916": "", "4917": "", "4918": "", "4919": "", "4920": "", "4921": "---", "4922": "---", "4923": "", "4924": "", "4925": "", "4926": "", "4927": "", "4928": "------", "4929": "---", "4930": "", "4931": "---", "4932": "---", "4933": "", "4934": "---", "4935": "", "4936": "", "4937": "", "4938": "---", "4939": "", "4940": "", "4941": "", "4942": "", "4943": "", "4944": "---", "4945": "", "4946": "---", "4947": "---", "4948": "", "4949": "", "4950": "", "4951": "", "4952": "", "4953": "", "4954": "", "4955": "", "4956": "", "4957": "", "4958": "", "4959": "", "4960": "", "4961": "", "4962": "", "4963": "", "4964": "", "4965": "", "4966": "", "4967": "", "4968": "", "4969": "", "4970": "", "4971": "", "4972": "", "4973": "", "4974": "", "4975": "---", "4976": "让我好好看看你的脸", "4977": "让我好好看看你的脸", "4978": "让我好好看看你的脸", "4979": "让我好好看看你的脸", "4980": "让我好好看看你的脸", "4981": "让我好好看看你的脸", "4982": "让我好好看看你的脸", "4983": "让我好好看看你的脸", "4984": "让我好好看看你的脸", "4985": "---", "4986": "", "4987": "", "4988": "---", "4989": "------------------", "4990": "不要", "4991": "不要", "4992": "不要", "4993": "不要", "4994": "不要", "4995": "------", "4996": "------------------", "4997": "---", "4998": "---", "4999": "---", "5000": "---", "5001": "------", "5002": "---", "5003": "", "5004": "---", "5005": "", "5006": "---", "5007": "------", "5008": "------------------", "5009": "", "5010": "", "5011": "---", "5012": "---", "5013": "", "5014": "---", "5015": "", "5016": "---", "5017": "------", "5018": "", "5019": "", "5020": "", "5021": "---", "5022": "---", "5023": "------------------", "5024": "", "5025": "---", "5026": "", "5027": "", "5028": "------", "5029": "", "5030": "------------------", "5031": "", "5032": "", "5033": "------", "5034": "", "5035": "------", "5036": "---------------------", "5037": "------", "5038": "------", "5039": "------", "5040": "------", "5041": "------", "5042": "------", "5043": "------", "5044": "------", "5045": "------", "5046": "", "5047": "", "5048": "------------------", "5049": "------", "5050": "---", "5051": "---", "5052": "", "5053": "", "5054": "", "5055": "", "5056": "", "5057": "", "5058": "", "5059": "", "5060": "", "5061": "", "5062": "", "5063": "", "5064": "", "5065": "", "5066": "", "5067": "", "5068": "北冈小姐", "5069": "北冈小姐", "5070": "北冈小姐", "5071": "北冈小姐", "5072": "你要接受现实了", "5073": "你要接受现实了", "5074": "你要接受现实了", "5075": "你要接受现实了", "5076": "你要接受现实了", "5077": "你要接受现实了", "5078": "你要接受现实了", "5079": "你要接受现实了", "5080": "你要接受现实了", "5081": "", "5082": "", "5083": "", "5084": "", "5085": "", "5086": "", "5087": "---", "5088": "---", "5089": "---", "5090": "---", "5091": "", "5092": "---", "5093": "---", "5094": "---", "5095": "---", "5096": "", "5097": "", "5098": "", "5099": "", "5100": "", "5101": "---", "5102": "", "5103": "", "5104": "", "5105": "", "5106": "", "5107": "", "5108": "", "5109": "", "5110": "", "5111": "", "5112": "---", "5113": "", "5114": "", "5115": "这就是所谓的做爱", "5116": "这就是所谓的做爱", "5117": "这就是所谓的做爱", "5118": "这就是所谓的做爱", "5119": "这就是所谓的做爱", "5120": "这就是所谓的做爱", "5121": "这就是所谓的做爱", "5122": "", "5123": "---", "5124": "", "5125": "", "5126": "", "5127": "", "5128": "", "5129": "", "5130": "做爱这种事呢", "5131": "做爱这种事呢", "5132": "做爱这种事呢", "5133": "做爱这种事呢", "5134": "做爱这种事呢", "5135": "最后男人射精之后就结束了", "5136": "最后男人射精之后就结束了", "5137": "最后男人射精之后就结束了", "5138": "最后男人射精之后就结束了", "5139": "最后男人射精之后就结束了", "5140": "最后男人射精之后就结束了", "5141": "最后男人射精之后就结束了", "5142": "最后男人射精之后就结束了", "5143": "今天", "5144": "今天", "5145": "今天", "5146": "今天", "5147": "就要直接在你的里面射出来了", "5148": "就要直接在你的里面射出来了", "5149": "就要直接在你的里面射出来了", "5150": "就要直接在你的里面射出来了", "5151": "就要直接在你的里面射出来了", "5152": "就要直接在你的里面射出来了", "5153": "不要 不可以这样 不要管了 没事的", "5154": "不要 不可以这样 不要管了 没事的", "5155": "不要 不可以这样 不要管了 没事的", "5156": "不要 不可以这样 不要管了 没事的", "5157": "不要 不可以这样 不要管了 没事的", "5158": "不要 不可以这样 不要管了 没事的", "5159": "不要 不可以这样 不要管了 没事的", "5160": "不要 不可以这样 不要管了 没事的", "5161": "不要 不可以这样 不要管了 没事的", "5162": "不要 不可以这样 不要管了 没事的", "5163": "不要 不可以这样 不要管了 没事的", "5164": "住手 不要射进去 我不行了", "5165": "住手 不要射进去 我不行了", "5166": "住手 不要射进去 我不行了", "5167": "住手 不要射进去 我不行了", "5168": "住手 不要射进去 我不行了", "5169": "住手 不要射进去 我不行了", "5170": "住手 不要射进去 我不行了", "5171": "住手 不要射进去 我不行了", "5172": "住手 不要射进去 我不行了", "5173": "住手 不要射进去 我不行了", "5174": "住手 不要射进去 我不行了", "5175": "拜托你 请住手 不要这样", "5176": "拜托你 请住手 不要这样", "5177": "拜托你 请住手 不要这样", "5178": "拜托你 请住手 不要这样", "5179": "拜托你 请住手 不要这样", "5180": "拜托你 请住手 不要这样", "5181": "拜托你 请住手 不要这样", "5182": "拜托你 请住手 不要这样", "5183": "拜托你 请住手 不要这样", "5184": "拜托你 请住手 不要这样", "5185": "接受它吧 求求你了 不要", "5186": "接受它吧 求求你了 不要", "5187": "接受它吧 求求你了 不要", "5188": "接受它吧 求求你了 不要", "5189": "接受它吧 求求你了 不要", "5190": "接受它吧 求求你了 不要", "5191": "接受它吧 求求你了 不要", "5192": "接受它吧 求求你了 不要", "5193": "接受它吧 求求你了 不要", "5194": "---", "5195": "", "5196": "", "5197": "", "5198": "---------------", "5199": "", "5200": "", "5201": "要射了", "5202": "要射了", "5203": "要射了", "5204": "要射了", "5205": "要射了", "5206": "要射了", "5207": "", "5208": "射了", "5209": "射了", "5210": "射了", "5211": "射了", "5212": "射了", "5213": "", "5214": "来吧 好好接住它", "5215": "来吧 好好接住它", "5216": "来吧 好好接住它", "5217": "来吧 好好接住它", "5218": "来吧 好好接住它", "5219": "来吧 好好接住它", "5220": "来吧 好好接住它", "5221": "来吧 好好接住它", "5222": "来吧 好好接住它", "5223": "", "5224": "", "5225": "", "5226": "", "5227": "", "5228": "", "5229": "", "5230": "", "5231": "", "5232": "", "5233": "---", "5234": "", "5235": "", "5236": "", "5237": "", "5238": "", "5239": "", "5240": "别担心 全部射完就拔出来了", "5241": "别担心 全部射完就拔出来了", "5242": "别担心 全部射完就拔出来了", "5243": "别担心 全部射完就拔出来了", "5244": "别担心 全部射完就拔出来了", "5245": "别担心 全部射完就拔出来了", "5246": "别担心 全部射完就拔出来了", "5247": "别担心 全部射完就拔出来了", "5248": "", "5249": "", "5250": "", "5251": "---------------", "5252": "", "5253": "", "5254": "", "5255": "", "5256": "", "5257": "", "5258": "", "5259": "", "5260": "", "5261": "", "5262": "", "5263": "", "5264": "---", "5265": "---------------", "5266": "------------", "5267": "", "5268": "------------", "5269": "------", "5270": "------------", "5271": "", "5272": "---", "5273": "------------", "5274": "------------", "5275": "---", "5276": "", "5277": "", "5278": "------------", "5279": "---------------", "5280": "------------", "5281": "------", "5282": "", "5283": "------------", "5284": "------------", "5285": "---", "5286": "---------------", "5287": "---", "5288": "---", "5289": "------------", "5290": "---------------", "5291": "------------", "5292": "", "5293": "---", "5294": "", "5295": "------------", "5296": "", "5297": "---------------", "5298": "---------------", "5299": "------------", "5300": "", "5301": "", "5302": "", "5303": "", "5304": "明天开始你就是特别单间病房患者的负责人", "5305": "明天开始你就是特别单间病房患者的负责人", "5306": "明天开始你就是特别单间 病房患者的负责人", "5307": "明天开始你就是特别单间 病房患者的负责人", "5308": "明天开始你就是特别单间 病房患者的负责人", "5309": "明天开始你就是特别单间病房患者的负责人", "5310": "明天开始你就是特别单间病房患者的负责人", "5311": "明天开始你就是特别单间 病房患者的负责人", "5312": "明天开始你就是特别单间 病房患者的负责人", "5313": "明天开始你就是特别单间病房患者的负责人", "5314": "明天开始你就是特别单间病房患者的负责人", "5315": "请感到光荣吧 你妈妈也会很高兴的", "5316": "请感到光荣吧 你妈妈也会很高兴的", "5317": "请感到光荣吧 你妈妈也会很高兴的", "5318": "请感到光荣吧 你妈妈也会很高兴的", "5319": "请感到光荣吧 你妈妈也会很高兴的", "5320": "请感到光荣吧 你妈妈也会很高兴的", "5321": "请感到光荣吧 你妈妈也会很高兴的", "5322": "请感到光荣吧 你妈妈也会很高兴的", "5323": "请感到光荣吧 你妈妈也会很高兴的", "5324": "请感到光荣吧 你妈妈也会很高兴的", "5325": "请感到光荣吧 你妈妈也会很高兴的", "5326": "请感到光荣吧 你妈妈也会很高兴的", "5327": "请感到光荣吧 你妈妈也会很高兴的", "5328": "请感到光荣吧 你妈妈也会很高兴的", "5329": "请感到光荣吧 你妈妈也会很高兴的", "5330": "请感到光荣吧 你妈妈也会很高兴的", "5331": "请感到光荣吧 你妈妈也会很高兴的", "5332": "请感到光荣吧 你妈妈也会很高兴的", "5333": "", "5334": "", "5335": "---", "5336": "", "5337": "", "5338": "", "5339": "", "5340": "", "5341": "---", "5342": "---", "5343": "", "5344": "", "5345": "", "5346": "", "5347": "---", "5348": "", "5349": "", "5350": "", "5351": "", "5352": "", "5353": "", "5354": "", "5355": "", "5356": "", "5357": "", "5358": "", "5359": "", "5360": "", "5361": "", "5362": "", "5363": "---", "5364": "", "5365": "", "5366": "------------------", "5367": "Background", "5368": "", "5369": "", "5370": "", "5371": "", "5372": "------", "5373": "------", "5374": "------", "5375": "", "5376": "------------------", "5377": "---", "5378": "", "5379": "---", "5380": "", "5381": "", "5382": "", "5383": "", "5384": "", "5385": "---", "5386": "", "5387": "------", "5388": "---", "5389": "", "5390": "", "5391": "", "5392": "", "5393": "", "5394": "", "5395": "", "5396": "", "5397": "", "5398": "", "5399": "", "5400": "", "5401": "", "5402": "权藤医生把松井小姐叫出来", "5403": "权藤医生把松井小姐叫出来", "5404": "权藤医生把松井小姐叫出来", "5405": "权藤医生把松井小姐叫出来", "5406": "权藤医生把松井小姐叫出来", "5407": "权藤医生把松井小姐叫出来", "5408": "权藤医生把松井小姐叫出来", "5409": "权藤医生把松井小姐叫出来", "5410": "权藤医生把松井小姐叫出来", "5411": "特别单人VIP患者 夜班的呼叫", "5412": "特别单人VIP患者 夜班的呼叫", "5413": "特别单人VIP患者 夜班的呼叫", "5414": "特别单人VIP患者 夜班的呼叫", "5415": "特别单人VIP患者 夜班的呼叫", "5416": "特别单人VIP患者 夜班的呼叫", "5417": "特别单人VIP患者 夜班的呼叫", "5418": "特别单人VIP患者 夜班的呼叫", "5419": "特别单人VIP患者 夜班的呼叫", "5420": "特别单人VIP患者 夜班的呼叫", "5421": "特别单人VIP患者 夜班的呼叫", "5422": "特别单人VIP患者 夜班的呼叫", "5423": "", "5424": "那让我想起了讨厌的事情 从那天起我就觉得", "5425": "那让我想起了讨厌的事情 从那天起我就觉得", "5426": "那让我想起了讨厌的事情 从那天起我就觉得", "5427": "那让我想起了讨厌的事情 从那天起我就觉得", "5428": "那让我想起了讨厌的事情 从那天起我就觉得", "5429": "那让我想起了讨厌的事情 从那天起我就觉得", "5430": "那让我想起了讨厌的事情 从那天起我就觉得", "5431": "那让我想起了讨厌的事情 从那天起我就觉得", "5432": "那让我想起了讨厌的事情 从那天起我就觉得", "5433": "那让我想起了讨厌的事情 从那天起我就觉得", "5434": "那让我想起了讨厌的事情 从那天起我就觉得", "5435": "那让我想起了讨厌的事情 从那天起我就觉得", "5436": "这家医院疯了", "5437": "这家医院疯了", "5438": "这家医院疯了", "5439": "这家医院疯了", "5440": "这家医院疯了", "5441": "这家医院疯了", "5442": "这家医院疯了", "5443": "", "5444": "", "5445": "", "5446": "", "5447": "", "5448": "。", "5449": "", "5450": "", "5451": "", "5452": "", "5453": "", "5454": "", "5455": "", "5456": "", "5457": "", "5458": "上次真是非常抱歉", "5459": "上次真是非常抱歉", "5460": "上次真是非常抱歉", "5461": "上次真是非常抱歉", "5462": "上次真是非常抱歉", "5463": "上次真是非常抱歉", "5464": "上次真是非常抱歉", "5465": "上次真是非常抱歉", "5466": "", "5467": "", "5468": "", "5469": "", "5470": "", "5471": "", "5472": "", "5473": "", "5474": "因为我的指导不足", "5475": "因为我的指导不足", "5476": "因为我的指导不足", "5477": "因为我的指导不足", "5478": "因为我的指导不足", "5479": "对患者说了失礼的话", "5480": "对患者说了失礼的话", "5481": "对患者说了失礼的话", "5482": "对患者说了失礼的话", "5483": "对患者说了失礼的话", "5484": "对患者说了失礼的话", "5485": "", "5486": "", "5487": "", "5488": "", "5489": "", "5490": "", "5491": "", "5492": "", "5493": "", "5494": "", "5495": "", "5496": "不过 这次请你放心吧", "5497": "不过 这次请你放心吧", "5498": "不过 这次请你放心吧", "5499": "不过 这次请你放心吧", "5500": "不过 这次请你放心吧", "5501": "不过 这次请你放心吧", "5502": "不过 这次请你放心吧", "5503": "不过 这次请你放心吧", "5504": "不过 这次请你放心吧", "5505": "我们准备了方便指导的工作人员", "5506": "我们准备了方便指导的工作人员", "5507": "我们准备了方便指导的工作人员", "5508": "我们准备了方便指导的工作人员", "5509": "我们准备了方便指导的工作人员", "5510": "我们准备了方便指导的工作人员", "5511": "我们准备了方便指导的工作人员", "5512": "我们准备了 方便指导的工作人员", "5513": "", "5514": "好的 好的", "5515": "好的 好的", "5516": "好的 好的", "5517": "好的 好的", "5518": "好的 好的", "5519": "好的 好的", "5520": "好的 好的", "5521": "", "5522": "", "5523": "必须要", "5524": "必须要", "5525": "必须要", "5526": "必须要", "5527": "让你体验一下我们这家医院 引以为豪的独特服务专案", "5528": "让你体验一下我们这家医院 引以为豪的独特服务专案", "5529": "让你体验一下我们这家医院 引以为豪的独特服务专案", "5530": "让你体验一下我们这家医院 引以为豪的独特服务专案", "5531": "让你体验一下我们这家医院 引以为豪的独特服务专案", "5532": "让你体验一下我们这家医院 引以为豪的独特服务专案", "5533": "让你体验一下我们这家医院 引以为豪的独特服务专案", "5534": "让你体验一下我们这家医院 引以为豪的独特服务专案", "5535": "让你体验一下我们这家医院 引以为豪的独特服务专案", "5536": "", "5537": "", "5538": "", "5539": "", "5540": "", "5541": "", "5542": "", "5543": "------------------", "5544": "", "5545": "---", "5546": "", "5547": "", "5548": "", "5549": "---------------", "5550": "", "5551": "", "5552": "", "5553": "", "5554": "", "5555": "", "5556": "", "5557": "", "5558": "", "5559": "", "5560": "", "5561": "", "5562": "", "5563": "", "5564": "", "5565": "", "5566": "", "5567": "", "5568": "", "5569": "------", "5570": "---", "5571": "", "5572": "---", "5573": "------", "5574": "------", "5575": "", "5576": "", "5577": "", "5578": "", "5579": "", "5580": "", "5581": "", "5582": "", "5583": "", "5584": "", "5585": "", "5586": "", "5587": "", "5588": "", "5589": "", "5590": "基本信息", "5591": "资本 偶上郎", "5592": "", "5593": "", "5594": "No text is visible in the provided image.", "5595": "ITMMA PRO", "5596": "医生 屈立豪", "5597": "", "5598": "", "5599": "HTML", "5600": "", "5601": "", "5602": "", "5603": "", "5604": "", "5605": "叶山医生", "5606": "叶山医生", "5607": "叶山医生", "5608": "叶山医生", "5609": "叶山医生", "5610": "", "5611": "", "5612": "", "5613": "那个 有什么事吗", "5614": "那个 有什么事吗", "5615": "那个 有什么事吗", "5616": "那个 有什么事吗", "5617": "那个 有什么事吗", "5618": "那个 有什么事吗", "5619": "那个 有什么事吗", "5620": "那个 有什么事吗", "5621": "大 大 大", "5622": "", "5623": "权藤医生有指示", "5624": "权藤医生有指示", "5625": "权藤医生有指示", "5626": "权藤医生有指示", "5627": "权藤医生有指示", "5628": "98室[巴花堂]永久地址489155.com权藤医生有指示", "5629": "98室[芭花堂]永久地址489155.com权藤医生有指示", "5630": "98室[巴花堂]永久地址489155.com权藤医生有指示", "5631": "98室[芭花室]永久地址489155.com", "5632": "98室[巴花堂]永久地址489155.com", "5633": "98室[巴花堂]永久地址489155.com", "5634": "我们的工作需要你帮忙", "5635": "我们的工作需要你帮忙", "5636": "我们的工作需要你帮忙", "5637": "我们的工作需要你帮忙", "5638": "我们的工作需要你帮忙", "5639": "我们的工作需要你帮忙", "5640": "我们的工作需要你帮忙", "5641": "我们的工作需要你帮忙", "5642": "我们的工作需要你帮忙", "5643": "我们的工作需要你帮忙", "5644": "我们的工作需要你帮忙", "5645": "我们的工作需要你帮忙", "5646": "我们的工作需要你帮忙", "5647": "", "5648": "", "5649": "", "5650": "", "5651": "", "5652": "", "5653": "", "5654": "", "5655": "", "5656": "", "5657": "", "5658": "只要是我能做的我都愿意", "5659": "只要是我能做的我都愿意", "5660": "只要是我能做的我都愿意", "5661": "只要是我能做的我都愿意", "5662": "只要是我能做的我都愿意", "5663": "只要是我能做的我都愿意", "5664": "只要是我能做的我都愿意", "5665": "只要是我能做的我都愿意", "5666": "", "5667": "", "5668": "", "5669": "", "5670": "", "5671": "", "5672": "", "5673": "", "5674": "", "5675": "", "5676": "", "5677": "", "5678": "", "5679": "", "5680": "", "5681": "", "5682": "", "5683": "", "5684": "", "5685": "", "5686": "", "5687": "", "5688": "", "5689": "", "5690": "", "5691": "", "5692": "", "5693": "", "5694": "", "5695": "", "5696": "", "5697": "", "5698": "", "5699": "", "5700": "", "5701": "", "5702": "", "5703": "", "5704": "", "5705": "", "5706": "", "5707": "", "5708": "", "5709": "", "5710": "", "5711": "", "5712": "", "5713": "", "5714": "", "5715": "", "5716": "", "5717": "", "5718": "", "5719": "", "5720": "", "5721": "", "5722": "", "5723": "", "5724": "", "5725": "", "5726": "", "5727": "", "5728": "", "5729": "", "5730": "", "5731": "", "5732": "", "5733": "", "5734": "", "5735": "", "5736": "", "5737": "", "5738": "", "5739": "", 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"---", "6492": "", "6493": "", "6494": "", "6495": "", "6496": "", "6497": "", "6498": "", "6499": "", "6500": "", "6501": "", "6502": "", "6503": "", "6504": "", "6505": "", "6506": "", "6507": "", "6508": "", "6509": "", "6510": "", "6511": "", "6512": "", "6513": "", "6514": "", "6515": "", "6516": "", "6517": "", "6518": "可以吧", "6519": "可以吧", "6520": "可以吧", "6521": "可以吧", "6522": "可以吧", "6523": "", "6524": "", "6525": "", "6526": "", "6527": "", "6528": "", "6529": "", "6530": "", "6531": "", "6532": "", "6533": "", "6534": "", "6535": "", "6536": "", "6537": "", "6538": "", "6539": "床", "6540": "", "6541": "", "6542": "", "6543": "", "6544": "", "6545": "", "6546": "", "6547": "", "6548": "", "6549": "", "6550": "", "6551": "", "6552": "", "6553": "再用力舔这里", "6554": "再用力舔这里", "6555": "再用力舔这里", "6556": "再用力舔这里", "6557": "再用力舔这里", "6558": "再用力舔这里", "6559": "再用力舔这里", "6560": "再用力舔这里", "6561": "再用力舔这里", "6562": "", "6563": "", "6564": "超舒服 超舒服", "6565": "超舒服的 超舒服", "6566": "超舒服的 超舒服", "6567": "超舒服的 超舒服", "6568": "超舒服 超舒服", "6569": "超舒服的 超舒服", "6570": "超舒服 超舒服", "6571": "超舒服 超舒服", "6572": "", "6573": "", "6574": "", "6575": "", "6576": "", "6577": "再用舌头多舔舔", "6578": "再用舌头多舔舔", "6579": "再用舌头多舔舔", "6580": "再用舌头多舔舔", "6581": "再用舌头多舔舔", "6582": "再用舌头多舔舔", "6583": "再用舌头多舔舔", "6584": "", "6585": "", "6586": "", "6587": "", "6588": "", "6589": "", "6590": "好舒服", "6591": "好舒服", "6592": "好舒服", "6593": "好舒服", "6594": "好舒服", "6595": "好舒服", "6596": "", "6597": "", "6598": "", "6599": "", "6600": "", "6601": "", "6602": "高潮了 我要高潮了", "6603": "高潮了 我要高潮了", "6604": "高潮了 我要高潮了", "6605": "高潮了 我要高潮了", "6606": "高潮了 我要高潮了", "6607": "高潮了 我要高潮了", "6608": "高潮了 我要高潮了", "6609": "高潮了 我要高潮了", "6610": "", "6611": "", "6612": "", "6613": "", "6614": "", "6615": "", "6616": "", "6617": "", "6618": "", "6619": "", "6620": "", "6621": "", "6622": "", "6623": "", "6624": "", "6625": "", "6626": "", "6627": "继续舔", "6628": "继续舔", "6629": "继续舔", "6630": "继续舔", "6631": "继续舔", "6632": "继续舔", "6633": "", "6634": "", "6635": "------------------", "6636": "------------------", "6637": "---", "6638": "---", "6639": "", "6640": "---", "6641": "------", "6642": "好舒服 太舒服了", "6643": "好舒服 太舒服了", "6644": "好舒服 太舒服了", "6645": "好舒服 太舒服了", "6646": "好舒服 太舒服了", "6647": "好舒服 太舒服了", "6648": "好舒服 太舒服了", "6649": "好舒服 太舒服了", "6650": "好舒服 太舒服了", "6651": "好舒服 太舒服了", "6652": "---", "6653": "", "6654": "---", "6655": "---", "6656": "---", "6657": "--- ---", "6658": "--- ---", "6659": "舌头好舒服 继续舔吧", "6660": "舌头好舒服 继续舔吧", "6661": "舌头好舒服 继续舔吧", "6662": "舌头好舒服 继续舔吧", "6663": "舌头好舒服 继续舔吧", "6664": "舌头好舒服 继续舔吧", "6665": "舌头好舒服 继续舔吧", "6666": "舌头好舒服 继续舔吧", "6667": "舌头好舒服 继续舔吧", "6668": "舌头好舒服 继续舔吧", "6669": "舌头好舒服 继续舔吧", "6670": "舌头好舒服 继续舔吧", "6671": "舌头好舒服 继续舔吧", "6672": "舌头好舒服 继续舔吧", "6673": "就是这里", "6674": "就是这里", "6675": "就是这里", "6676": "就是这里", "6677": "就是这里", "6678": "", "6679": "", "6680": "", "6681": "", "6682": "", "6683": "---", "6684": "---", "6685": "", "6686": "---------------", "6687": "", "6688": "", 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As a content creator, I must adhere to the platform's policies regarding the sharing of personal information. If you have any questions about the content or the platform, please feel free to ask.", "6729": "", "6730": "", "6731": "", "6732": "", "6733": "舒服 像这样抽插小穴", "6734": "舒服 像这样抽插小穴", "6735": "舒服 像这样抽插小穴", "6736": "舒服 像这样抽插小穴", "6737": "舒服 像这样抽插小穴", "6738": "舒服 像这样抽插小穴", "6739": "舒服 像这样抽插小穴", "6740": "舒服 像这样抽插小穴", "6741": "舒服 像这样抽插小穴", "6742": "舒服 像这样抽插小穴", "6743": "舒服 像这样抽插小穴", "6744": "", "6745": "", "6746": "", "6747": "", "6748": "", "6749": "高潮了", "6750": "高潮了", "6751": "高潮了", "6752": "高潮了", "6753": "高潮了", "6754": "", "6755": "", "6756": "", "6757": "", "6758": "", "6759": "---", "6760": "", "6761": "---", "6762": "", "6763": "", "6764": "", "6765": "", "6766": "", "6767": "", "6768": "", "6769": "", "6770": "", "6771": "", "6772": "", "6773": "", "6774": "", "6775": "", "6776": "", "6777": "", "6778": "", "6779": "", "6780": "", "6781": "", "6782": "", "6783": "那里好舒服", "6784": "那里好舒服", "6785": "那里好舒服", "6786": "那里好舒服", "6787": "那里好舒服", "6788": "那里好舒服", "6789": "", "6790": "", "6791": "", "6792": "好爽", "6793": "好爽", "6794": "好爽", "6795": "好爽", "6796": "好爽", "6797": "", "6798": "", "6799": "", "6800": "", "6801": "", "6802": "", "6803": "", "6804": "", "6805": "", "6806": "", "6807": "", "6808": "", "6809": "", "6810": "", "6811": "", "6812": "", "6813": "", "6814": "", "6815": "", "6816": "", "6817": "", "6818": "", "6819": "", "6820": "", "6821": "", "6822": "", "6823": "", "6824": "再插深一点", "6825": "再插深一点", "6826": "再插深一点", "6827": "再插深一点", "6828": "再插深一点", "6829": "", "6830": "", "6831": "", "6832": "---", "6833": "", "6834": "---", "6835": "---", "6836": "", "6837": "---", "6838": "---", "6839": "---", "6840": "", "6841": "---", "6842": "---", "6843": "高潮了 我高潮了", "6844": "高潮了 我高潮了", "6845": "高潮了 我高潮了", "6846": "高潮了 我高潮了", "6847": "高潮了 我高潮了", "6848": "高潮了 我高潮了", "6849": "高潮了 我高潮了", "6850": "------------", "6851": "", "6852": "---", "6853": "------", "6854": "好厉害 再动快一点", "6855": "好厉害 再动快一点", "6856": "好厉害 再动快一点", "6857": "好厉害 再动快一点", "6858": "好厉害 再动快一点", "6859": "好厉害 再动快一点", "6860": "好厉害 再动快一点", "6861": "好厉害 再动快一点", "6862": "好厉害 再动快一点", "6863": "好厉害 再动快一点", "6864": "好厉害 再动快一点", "6865": "好厉害 再动快一点", "6866": "---", "6867": "", "6868": "---", "6869": "---", "6870": "", "6871": "", "6872": "---", "6873": "", "6874": "", "6875": "", "6876": "", "6877": "---", "6878": "---", "6879": "---", "6880": "---", "6881": "---", "6882": "---", "6883": "---", "6884": "好厉害 不要停下来", "6885": "好厉害 不要停下来", "6886": "好厉害 不要停下来", "6887": "好厉害 不要停下来", "6888": "好厉害 不要停下来", "6889": "好厉害 不要停下来", "6890": "好厉害 不要停下来", "6891": "好厉害 不要停下来", "6892": "好厉害 不要停下来", "6893": "好厉害 不要停下来", "6894": "---", "6895": "---", "6896": "", "6897": "高潮了 我高潮了", "6898": "高潮了 我高潮了", "6899": "高潮了 我高潮了", "6900": "高潮了 我高潮了", "6901": "高潮了 我高潮了", "6902": "高潮了 我高潮了", "6903": "高潮了 我高潮了", "6904": "高潮了 我高潮了", "6905": "高潮了 我高潮了", "6906": "---", "6907": "---", "6908": "---", "6909": "---", "6910": "------------", "6911": "------", "6912": "---------------", "6913": "---", "6914": "---", "6915": "---", "6916": "", "6917": "", "6918": "------", "6919": "", "6920": "", "6921": "------", "6922": "", "6923": "---------------", "6924": "", "6925": "", "6926": "", "6927": "", "6928": "", "6929": "", "6930": "", "6931": "", "6932": "", "6933": "", "6934": "", "6935": "好厉害 肉棒好硬", "6936": "好厉害 肉棒好硬", "6937": "好厉害 肉棒好硬", "6938": "好厉害 肉棒好硬", "6939": "好厉害 肉棒好硬", "6940": "好厉害 肉棒好硬", "6941": "好厉害 肉棒好硬", "6942": "好厉害 肉棒好硬", "6943": "", "6944": "", "6945": "肉棒跟我想的一样呢", "6946": "肉棒跟我想的一样呢", "6947": "肉棒跟我想的一样呢", "6948": "肉棒跟我想的一样呢", "6949": "肉棒跟我想的一样呢", "6950": "肉棒跟我想的一样呢", "6951": "肉棒跟我想的一样呢", "6952": "肉棒跟我想的一样呢", "6953": "---", "6954": "", "6955": "", "6956": "", "6957": "---", "6958": "", "6959": "", "6960": "", "6961": "", "6962": "", "6963": "", "6964": "---", "6965": "---", "6966": "", "6967": "---", "6968": "", "6969": "---", "6970": "---", "6971": "6.", "6972": "", "6973": "---", "6974": "", "6975": "------", "6976": "---", "6977": "------", "6978": "------", "6979": "------------------", "6980": "---", "6981": "---", "6982": "", "6983": "---", "6984": "---", "6985": "---", "6986": "---", "6987": "---", "6988": "", "6989": "", "6990": "", "6991": "", "6992": "喜欢我的屁股吗", "6993": "喜欢我的屁股吗", "6994": "喜欢我的屁股吗", "6995": "喜欢我的屁股吗", "6996": "喜欢我的屁股吗", "6997": "喜欢我的屁股吗", "6998": "喜欢我的屁股吗", "6999": "---", "7000": "", "7001": "", "7002": "", "7003": "", "7004": "", "7005": "", "7006": "", "7007": "", "7008": "", "7009": "", "7010": "", "7011": "", "7012": "", "7013": "", "7014": "", "7015": "", "7016": "", "7017": "", "7018": "", "7019": "", "7020": "", "7021": "", "7022": "", "7023": "HTML", "7024": "", "7025": "", "7026": "", "7027": "", "7028": "---", "7029": "", "7030": "好舒服", "7031": "好舒服", "7032": "好舒服", "7033": "好舒服", "7034": "好舒服", "7035": "好舒服", "7036": "好舒服", "7037": "", "7038": "", "7039": "", "7040": "background", "7041": "", "7042": "", "7043": "", "7044": "", "7045": "", "7046": "", "7047": "", "7048": "", "7049": "", "7050": "", "7051": "", "7052": "", "7053": "", 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"7125": "", "7126": "", "7127": "", "7128": "", "7129": "", "7130": "", "7131": "", "7132": "", "7133": "", "7134": "再用力舔小穴", "7135": "再用力舔小穴", "7136": "再用力舔小穴", "7137": "再用力舔小穴", "7138": "再用力舔小穴", "7139": "再用力舔小穴", "7140": "再用力舔小穴", "7141": "再用力舔小穴", "7142": "", "7143": "", "7144": "", "7145": "", "7146": "", "7147": "", "7148": "", "7149": "", "7150": "", "7151": "", "7152": "", "7153": "", "7154": "", "7155": "", "7156": "", "7157": "", "7158": "", "7159": "", "7160": "", "7161": "", "7162": "", "7163": "Marketing", "7164": "", "7165": "", "7166": "", "7167": "", "7168": "", "7169": "", "7170": "小穴美味吗", "7171": "小穴美味吗", "7172": "小穴美味吗", "7173": "小穴美味吗", "7174": "小穴美味吗", "7175": "小穴美味吗", "7176": "小穴美味吗", "7177": "", "7178": "", "7179": "", "7180": "", "7181": "", "7182": "", "7183": "", "7184": "", "7185": "", "7186": "", "7187": "", "7188": "", "7189": "", "7190": "", "7191": "", "7192": "", "7193": "", "7194": "", "7195": "", "7196": "", "7197": "", "7198": "", "7199": "", "7200": "", "7201": "", "7202": "", "7203": "", "7204": "", "7205": "", "7206": "", "7207": "", "7208": "", "7209": "", "7210": "", "7211": "", "7212": "", "7213": "", "7214": "", "7215": "", "7216": "", "7217": "", "7218": "", "7219": "", "7220": "", "7221": "", "7222": "", "7223": "", "7224": "", "7225": "", "7226": "", "7227": "", "7228": "", "7229": "", "7230": "", "7231": "", "7232": "", "7233": "", "7234": "", "7235": "", "7236": "", "7237": "---", "7238": "---", "7239": "", "7240": "------------------", "7241": "", "7242": "", "7243": "---", "7244": "", "7245": "", "7246": "", "7247": "", "7248": "", "7249": "", "7250": "", "7251": "---", "7252": "", "7253": "", "7254": "", "7255": "", "7256": "", "7257": "", "7258": "", "7259": "", "7260": "", "7261": "", "7262": "", "7263": "", "7264": "", "7265": "", "7266": "", "7267": "", "7268": "", "7269": "---", "7270": "", "7271": "你躺下去吧", "7272": "你躺下去吧", "7273": "你躺下去吧", "7274": "你躺下去吧", "7275": "你躺下去吧", "7276": "你躺下去吧", "7277": "", "7278": "", "7279": "", "7280": "", "7281": "", "7282": "", "7283": "", "7284": "", "7285": "", "7286": "", "7287": "", "7288": "", "7289": "", "7290": "", "7291": "", "7292": "", "7293": "", "7294": "", "7295": "", "7296": "", "7297": "", "7298": "", "7299": "", "7300": "", "7301": "", "7302": "", "7303": "", "7304": "怎么样 喜欢我的小穴吗", "7305": "怎么样 喜欢我的小穴吗", "7306": "怎么样 喜欢我的小穴吗", "7307": "怎么样 喜欢我的小穴吗", "7308": "怎么样 喜欢我的小穴吗", "7309": "怎么样 喜欢我的小穴吗", "7310": "怎么样 喜欢我的小穴吗", "7311": "怎么样 喜欢我的小穴吗", "7312": "怎么样 喜欢我的小穴吗", "7313": "", "7314": "很好 再用力舔一舔", "7315": "很好 再用力舔一舔", "7316": "很好 再用力舔一舔", "7317": "很好 再用力舔一舔", "7318": "很好 再用力舔一舔", "7319": "很好 再用力舔一舔", "7320": "很好 再用力舔一舔", "7321": "很好 再用力舔一舔", "7322": "", "7323": "", "7324": "", "7325": "", "7326": "", "7327": "---", "7328": "", "7329": "", "7330": "", "7331": "", "7332": "", "7333": "", "7334": "", "7335": "", "7336": "", "7337": "", "7338": "", "7339": "HTML", "7340": "", "7341": "", "7342": "", "7343": "", "7344": "", "7345": "", "7346": "", "7347": "------", "7348": "", "7349": "", "7350": "和我一起工作吧", "7351": "和我一起工作吧", "7352": "和我一起工作吧", "7353": "和我一起工作吧", "7354": "和我一起工作吧", "7355": "和我一起工作吧", "7356": "和我一起工作吧", "7357": "和我一起工作吧", "7358": "和我一起工作吧", "7359": "然后就这样子", "7360": "然后就这样子", "7361": "然后就这样子", "7362": "然后就这样子", "7363": "然后就这样子", "7364": "然后就这样子", "7365": "舔舒服的地方", "7366": "舔舒服的地方", "7367": "舔舒服的地方", "7368": "舔舒服的地方", "7369": "舔舒服的地方", "7370": "舔舒服的地方", "7371": "舔舒服的地方", "7372": "舔舒服的地方", "7373": "", "7374": "", "7375": "", "7376": "---", "7377": "", "7378": "", "7379": "------------------", "7380": "------------------", "7381": "", "7382": "---", "7383": "---", "7384": "", "7385": "", "7386": "", "7387": "", "7388": "", "7389": "", "7390": "", "7391": "", "7392": "---", "7393": "", "7394": "", "7395": "---", "7396": "", "7397": "", "7398": "", "7399": "好舒服", "7400": "好舒服", "7401": "好舒服", "7402": "好舒服", "7403": "好舒服", "7404": "", "7405": "---", "7406": "", "7407": "", "7408": "", "7409": "", "7410": "", "7411": "", "7412": "", "7413": "", "7414": "太厉害了 你舌头好会舔", "7415": "太厉害了 你舌头好会舔", "7416": "太厉害了 你舌头好会舔", "7417": "太厉害了 你舌头好会舔", "7418": "太厉害了 你舌头好会舔", "7419": "太厉害了 你舌头好会舔", "7420": "太厉害了 你舌头好会舔", "7421": "太厉害了 你舌头好会舔", "7422": "", "7423": "", "7424": "", "7425": "", "7426": "", "7427": "", "7428": "", "7429": "", "7430": "", "7431": "", "7432": "", "7433": "", "7434": "", "7435": "", "7436": "", "7437": "", "7438": "", "7439": "", "7440": "", "7441": "", "7442": "", "7443": "", "7444": "", "7445": "", "7446": "", "7447": "---", "7448": "好舒服", "7449": "好舒服", "7450": "好舒服", "7451": "好舒服", "7452": "好舒服", "7453": "", "7454": "---", "7455": "", "7456": "", "7457": "", "7458": "", "7459": "", "7460": "", "7461": "---", "7462": "", "7463": "", "7464": "---", "7465": "", "7466": "", "7467": "", "7468": "", "7469": "", "7470": "", "7471": "------", "7472": "---", "7473": "", "7474": "", "7475": "", "7476": "", "7477": "", "7478": "", "7479": "", "7480": "", "7481": "", "7482": "", "7483": "---", "7484": "", "7485": "想插进我的小穴里吗 想", "7486": "想插进我的小穴里吗 想", "7487": "想插进我的小穴里吗 想", "7488": "想插进我的小穴里吗 想", "7489": "想插进我的小穴里吗 想", "7490": "想插进我的小穴里吗 想", "7491": "想插进我的小穴里吗 想", "7492": "想插进我的小穴里吗想", "7493": "想插进我的小穴里吗 想", "7494": "想插进我的小穴里吗 想", "7495": "---", "7496": "", "7497": "", "7498": "", "7499": "", "7500": "", "7501": "", "7502": "", "7503": "", "7504": "", "7505": "", "7506": "", "7507": "", "7508": "", "7509": "", "7510": "", "7511": "", "7512": "", "7513": "", "7514": "", "7515": "太舒服了", "7516": "太舒服了", "7517": "太舒服了", "7518": "太舒服了", "7519": "太舒服了", "7520": "太舒服了", "7521": "太舒服了", "7522": "", "7523": "", "7524": "", "7525": "", "7526": "", "7527": "", "7528": "", "7529": "", "7530": "", "7531": "", "7532": "", "7533": "", "7534": "", "7535": "", "7536": "", "7537": "", "7538": "", "7539": "", "7540": "", "7541": "", "7542": "", "7543": "", "7544": "", "7545": "", "7546": "", "7547": "", "7548": "", "7549": "", "7550": "", "7551": "---", "7552": "", "7553": "", "7554": "", "7555": "", "7556": "", "7557": "", "7558": "", "7559": "", "7560": "", "7561": "", "7562": "", "7563": "", "7564": "", "7565": "", "7566": "", "7567": "", "7568": "", "7569": "", "7570": "", "7571": "", "7572": "", "7573": "", "7574": "", "7575": "", "7576": "", "7577": "", "7578": "", "7579": "", "7580": "", "7581": "", "7582": "", "7583": "", "7584": "", "7585": "", "7586": "", "7587": "", "7588": "", "7589": "", "7590": "乳头都变得这么硬了", "7591": "乳头都变得这么硬了", "7592": "乳头都变得这么硬了", "7593": "乳头都变得这么硬了", "7594": "乳头都变得这么硬了", "7595": "乳头都变得这么硬了", "7596": "乳头都变得这么硬了", "7597": "乳头都变得这么硬了", "7598": "乳头都变得这么硬了", "7599": "", "7600": "", "7601": "", "7602": "", "7603": "", "7604": "", "7605": "", "7606": "", "7607": "", "7608": "", "7609": "---", "7610": "", "7611": "", "7612": "", "7613": "", "7614": "肉棒好大呀", "7615": "肉棒好大呀", "7616": "肉棒好大呀", "7617": "肉棒好大呀", "7618": "肉棒好大呀", "7619": "肉棒好大呀", "7620": "肉棒好大呀", "7621": "", "7622": "", "7623": "", "7624": "", "7625": "", "7626": "", "7627": "", 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"", "7920": "", "7921": "", "7922": "", "7923": "", "7924": "", "7925": "", "7926": "", "7927": "", "7928": "", "7929": "P4", "7930": "", "7931": "", "7932": "", "7933": "", "7934": "", "7935": "", "7936": "", "7937": "", "7938": "", "7939": "", "7940": "", "7941": "", "7942": "", "7943": "", "7944": "", "7945": "", "7946": "", "7947": "", "7948": "", "7949": "", "7950": "", "7951": "", "7952": "", "7953": "", "7954": "", "7955": "", "7956": "", "7957": "", "7958": "", "7959": "", "7960": "", "7961": "", "7962": "", "7963": "", "7964": "", "7965": "", "7966": "", "7967": "", "7968": "", "7969": "", "7970": "", "7971": "", "7972": "", "7973": "", "7974": "", "7975": "", "7976": "", "7977": "", "7978": "", "7979": "", "7980": "", "7981": "", "7982": "", "7983": "", "7984": "", "7985": "", "7986": "", "7987": "", "7988": "", "7989": "", "7990": "", "7991": "", "7992": "", "7993": "", "7994": "", "7995": "", "7996": "", "7997": "", "7998": "", "7999": "", "8000": "---", "8001": "", "8002": "---", "8003": "", "8004": "---", "8005": "", "8006": "", "8007": "", "8008": "---", "8009": "", "8010": "", "8011": "", "8012": "", "8013": "", "8014": "---", "8015": "", "8016": "---", "8017": "---------------", "8018": "", "8019": "", "8020": "", "8021": "", "8022": "跟我想像中一样舒服", "8023": "跟我想像中一样舒服", "8024": "跟我想像中一样舒服", "8025": "跟我想像中一样舒服", "8026": "跟我想像中一样舒服", "8027": "跟我想像中一样舒服", "8028": "跟我想像中一样舒服", "8029": "---------------", "8030": "---", "8031": "", "8032": "---", "8033": "---", "8034": "", "8035": "---", "8036": "---", "8037": "", "8038": "---", "8039": "---", "8040": "---", "8041": "---", "8042": "", "8043": "", "8044": "", "8045": "------", "8046": "", "8047": "", "8048": "一直在搅动小穴", "8049": "一直在搅动小穴", "8050": "一直在搅动小穴", "8051": "一直在搅动小穴", "8052": "一直在搅动小穴", "8053": "一直在搅动小穴", "8054": "", "8055": "", "8056": "HTML", "8057": "", "8058": "", "8059": "", "8060": "", "8061": "", "8062": "", "8063": "怎么样 感觉舒服吗 好舒服", "8064": "怎么样 感觉舒服吗 好舒服", "8065": "怎么样 感觉舒服吗 好舒服", "8066": "怎么样 感觉舒服吗 好舒服", "8067": "怎么样 感觉舒服吗 好舒服", "8068": "怎么样 感觉舒服吗 好舒服", "8069": "怎么样 感觉舒服吗 好舒服", "8070": "", "8071": "", "8072": "", "8073": "", "8074": "", "8075": "", "8076": "好爽", "8077": "好爽", "8078": "好爽", "8079": "好爽", "8080": "", "8081": "", "8082": "", "8083": "不行 这里 太舒服了", "8084": "不行 这里 太舒服了", "8085": "不行 这里 太舒服了", "8086": "不行 这里 太舒服了", "8087": "不行 这里 太舒服了", "8088": "不行 这里 太舒服了", "8089": "不行 这里 太舒服了", "8090": "不行 这里 太舒服了", "8091": "", "8092": "", "8093": "", "8094": "", "8095": "", "8096": "", "8097": "", "8098": "", "8099": "", "8100": "", "8101": "", "8102": "", "8103": "", "8104": "", "8105": "", "8106": "", "8107": "", "8108": "", "8109": "", "8110": "", "8111": "", "8112": "", "8113": "", "8114": "", "8115": "", "8116": "", "8117": "", "8118": "", "8119": "", "8120": "", "8121": "", "8122": "", "8123": "", "8124": "", "8125": "", "8126": "", "8127": "高潮了 我高潮了", "8128": "高潮了 我高潮了", "8129": "高潮了 我高潮了", "8130": "高潮了 我高潮了", "8131": "高潮了 我高潮了", "8132": "高潮了 我高潮了", "8133": "", "8134": "", "8135": "", "8136": "", "8137": "", "8138": "", "8139": "", "8140": "", "8141": "", "8142": "", "8143": "", "8144": "", "8145": "这根肉棒太棒了", "8146": "这根肉棒太棒了", "8147": "这根肉棒太棒了", "8148": "这根肉棒太棒了", "8149": "这根肉棒太棒了", "8150": "这根肉棒太棒了", "8151": "", "8152": "", "8153": "", "8154": "摸我的奶子", "8155": "摸我的奶子", "8156": "摸我的奶子", "8157": "摸我的奶子", "8158": "摸我的奶子", "8159": "摸我的奶子", "8160": "", "8161": "", "8162": "", "8163": "", "8164": "", "8165": "", "8166": "", "8167": "", "8168": "", "8169": "", "8170": "", "8171": "", "8172": "", "8173": "", "8174": "", "8175": "", "8176": "", "8177": "", "8178": "", "8179": "", "8180": "", "8181": "", "8182": "", "8183": "", "8184": "", "8185": "", "8186": "", "8187": "", "8188": "", "8189": "", "8190": "---", "8191": "", "8192": "---------------", "8193": "", "8194": "", "8195": "", "8196": "---", "8197": "---", "8198": "---", "8199": "---", "8200": "", "8201": "", "8202": "", "8203": "------------------", "8204": "------------------", "8205": "", "8206": "", "8207": "", "8208": "", "8209": "", "8210": "", "8211": "", "8212": "---", "8213": "", "8214": "", "8215": "", "8216": "", "8217": "", "8218": "", "8219": "---", "8220": "", "8221": "---", "8222": "", "8223": "", "8224": "我忍不住了 好厉害", "8225": "我忍不住了 好厉害", "8226": "我忍不住了 好厉害", "8227": "我忍不住了 好厉害", "8228": "我忍不住了 好厉害", "8229": "我忍不住了 好厉害", "8230": "我忍不住了 好厉害", "8231": "我忍不住了 好厉害", "8232": "我忍不住了 好厉害", "8233": "我忍不住了好厉害", "8234": "", "8235": "", "8236": "", "8237": "", "8238": "", "8239": "", "8240": "你也很兴奋呢", "8241": "你也很兴奋呢", "8242": "你也很兴奋呢", "8243": "你也很兴奋呢", "8244": "你也很兴奋呢", "8245": "你也很兴奋呢", "8246": "你也很兴奋呢", "8247": "", "8248": "", "8249": "", "8250": "再用力抽插小穴 用力顶那里 好舒服", "8251": "再用力抽插小穴 用力顶那里 好舒服", "8252": "再用力抽插小穴 用力顶那里 好舒服", "8253": "再用力抽插小穴 用力顶那里 好舒服", "8254": "再用力抽插小穴 用力顶那里 好舒服", "8255": "再用力抽插小穴 用力顶那里 好舒服", "8256": "再用力抽插小穴 用力顶那里 好舒服", "8257": "再用力抽插小穴 用力顶那里 好舒服", "8258": "再用力抽插小穴 用力顶那里 好舒服", "8259": "再用力抽插小穴 用力顶那里 好舒服", "8260": "再用力抽插小穴 用力顶那里 好舒服", "8261": "再用力抽插小穴 用力顶那里 好舒服", "8262": "再用力抽插小穴 用力顶那里 好舒服", "8263": "", "8264": "", "8265": "", "8266": "", "8267": "", "8268": "", "8269": "", "8270": "", "8271": "", "8272": "", "8273": "---", "8274": "", "8275": "", "8276": "------------------", "8277": "------", "8278": "---", "8279": "", "8280": "", "8281": "", "8282": "", "8283": "", "8284": "", "8285": "", "8286": "", "8287": "", "8288": "--- ---", "8289": "插进小穴最里面了", "8290": "插进小穴最里面了", "8291": "插进小穴最里面了", "8292": "插进小穴最里面了", "8293": "插进小穴最里面了", "8294": "", "8295": "", "8296": "", "8297": "", "8298": "", "8299": "---", "8300": "高潮了 我高潮了", "8301": "高潮了 我高潮了", "8302": "高潮了 我高潮了", "8303": "高潮了 我高潮了", "8304": "高潮了 我高潮了", "8305": "高潮了 我高潮了", "8306": "高潮了 我高潮了", "8307": "高潮了 我高潮了", "8308": "高潮了 我高潮了", "8309": "高潮了 我高潮了", "8310": "", "8311": "", "8312": "------", "8313": "", "8314": "", "8315": "---", "8316": "", "8317": "", "8318": "------", "8319": "", "8320": "", "8321": "", "8322": "", "8323": "------", "8324": "", "8325": "---", "8326": "", "8327": "", "8328": "", "8329": "", "8330": "------", "8331": "---", "8332": "---", "8333": "", "8334": "---", "8335": "------------------", "8336": "------", "8337": "", "8338": "------", "8339": "---", "8340": "", "8341": "", "8342": "------", "8343": "", "8344": "", "8345": "", "8346": "", "8347": "", "8348": "", "8349": "", "8350": "---", "8351": "", "8352": "", "8353": "---", "8354": "再用力抽插", "8355": "再用力抽插", "8356": "再用力抽插", "8357": "再用力抽插", "8358": "再用力抽插", "8359": "再用力抽插", "8360": "", "8361": "---", "8362": "", "8363": "", "8364": "", "8365": "", "8366": "------", "8367": "", "8368": "", "8369": "", "8370": "", "8371": "好舒服", "8372": "好舒服", "8373": "好舒服", "8374": "好舒服", "8375": "好舒服", "8376": "------------------", "8377": "", "8378": "", "8379": "", "8380": "------", "8381": "---", "8382": "------", "8383": "___", "8384": "", "8385": "", "8386": "", "8387": "", "8388": "", "8389": "", "8390": "", "8391": "", "8392": "", "8393": "", "8394": "用力抽插小穴 很好 好舒服", "8395": "用力抽插小穴 很好 好舒服", "8396": "用力抽插小穴 很好 好舒服", "8397": "用力抽插小穴 很好 好舒服", "8398": "用力抽插小穴 很好 好舒服", "8399": "用力抽插小穴 很好 好舒服", "8400": "用力抽插小穴 很好 好舒服", "8401": "用力抽插小穴 很好 好舒服", "8402": "用力抽插小穴 很好 好舒服", "8403": "用力抽插小穴 很好 好舒服", "8404": "用力抽插小穴 很好 好舒服", "8405": "用力抽插小穴 很好 好舒服", "8406": "", "8407": "SP", "8408": "", "8409": "", "8410": "", "8411": "", "8412": "要高潮了 高潮了 我高潮了", "8413": "要高潮了 高潮了 我高潮了", "8414": "要高潮了 高潮了 我高潮了", "8415": "要高潮了 高潮了 我高潮了", "8416": "要高潮了 高潮了 我高潮了", "8417": "要高潮了 高潮了 我高潮了", "8418": "", "8419": "", "8420": "", "8421": "", "8422": "", "8423": "", "8424": "", "8425": "", "8426": "", "8427": "", "8428": "你的肉棒最棒了", "8429": "你的肉棒最棒了", "8430": "你的肉棒最棒了", "8431": "你的肉棒最棒了", "8432": "你的肉棒最棒了", "8433": "你的肉棒最棒了", "8434": "你的肉棒最棒了", "8435": "", "8436": "", "8437": "我也会自己动起来的", "8438": "我也会自己动起来的", "8439": "我也会自己动起来的", "8440": "我也会自己动起来的", "8441": "我也会自己动起来的", "8442": "我也会自己动起来的", "8443": "", "8444": "", "8445": "舒服吗 好舒服", "8446": "舒服吗 好舒服", "8447": "舒服吗 好舒服", "8448": "舒服吗 好舒服", "8449": "舒服吗 好舒服", "8450": "舒服吗 好舒服", "8451": "", "8452": "", "8453": "", "8454": "A", "8455": "", "8456": "", "8457": "", "8458": "A", "8459": "抽插得停不下来了吗", "8460": "抽插得停不下来了吗", "8461": "抽插得停不下来了吗", "8462": "抽插得停不下来了吗", "8463": "抽插得停不下来了吗", "8464": "", "8465": "", "8466": "", "8467": "", "8468": "", "8469": "", "8470": "", "8471": "", "8472": "", "8473": "", "8474": "", "8475": "", "8476": "", "8477": "", "8478": "", "8479": "", "8480": "这里好舒服 用力顶这里", "8481": "这里好舒服 用力顶这里", "8482": "这里好舒服 用力顶这里", "8483": "这里好舒服 用力顶这里", "8484": "这里好舒服 用力顶这里", "8485": "这里好舒服 用力顶这里", "8486": "这里好舒服 用力顶这里", "8487": "这里好舒服 用力顶这里", "8488": "这里好舒服 用力顶这里", "8489": "这里好舒服 用力顶这里", "8490": "", "8491": "", "8492": "高潮了 我高潮了", "8493": "高潮了 我高潮了", "8494": "高潮了 我高潮了", "8495": "高潮了 我高潮了", "8496": "高潮了 我高潮了", "8497": "", "8498": "", "8499": "", "8500": "", "8501": "", "8502": "", "8503": "", "8504": "", "8505": "", "8506": "", "8507": "", "8508": "", "8509": "", "8510": "", "8511": "图", "8512": "", "8513": "", "8514": "", "8515": "继续插进小穴", "8516": "继续插进小穴", "8517": "继续插进小穴", "8518": "继续插进小穴", "8519": "继续插进小穴", "8520": "继续插进小穴", "8521": "", "8522": "", "8523": "", "8524": "", "8525": "", "8526": "", "8527": "---", "8528": "", "8529": "", "8530": "", "8531": "", "8532": "---", "8533": "好厉害 肉棒插的好深", "8534": "好厉害 肉棒插的好深", "8535": "好厉害 肉棒插的好深", "8536": "好厉害 肉棒插的好深", "8537": "好厉害 肉棒插的好深", "8538": "好厉害 肉棒插的好深", "8539": "好厉害 肉棒插的好深", "8540": "好厉害 肉棒插的好深", "8541": "好厉害 肉棒插的好深", "8542": "", "8543": "", "8544": "肉棒跟我想像中一样舒服", "8545": "肉棒跟我想像中一样舒服", "8546": "肉棒跟我想像中一样舒服", "8547": "肉棒跟我想像中一样舒服", "8548": "肉棒跟我想像中一样舒服", "8549": "肉棒跟我想像中一样舒服", "8550": "肉棒跟我想像中一样舒服", "8551": "---", "8552": "", "8553": "---", "8554": "", "8555": "", "8556": "", "8557": "", "8558": "", "8559": "", "8560": "", "8561": "", "8562": "好厉害 你看 肉棒插进小穴了", "8563": "好厉害 你看 肉棒插进小穴了", "8564": "好厉害 你看 肉棒插进小穴了", "8565": "好厉害 你看 肉棒插进小穴了", "8566": "好厉害 你看 肉棒插进小穴了", "8567": "好厉害 你看 肉棒插进小穴了", "8568": "好厉害 你看 肉棒插进小穴了", "8569": "好厉害 你看 肉棒插进小穴了", "8570": "好厉害 你看 肉棒插进小穴了", "8571": "", "8572": "好舒服", "8573": "好舒服", "8574": "好舒服", "8575": "好舒服", "8576": "好舒服", "8577": "好舒服", "8578": "", "8579": "", "8580": "", "8581": "", "8582": "", "8583": "", "8584": "好厉害 肉棒一直在搅动我的小穴", "8585": "好厉害 肉棒一直在搅动我的小穴", "8586": "好厉害 肉棒一直在搅动我的小穴", "8587": "好厉害 肉棒一直在搅动我的小穴", "8588": "好厉害 肉棒一直在搅动我的小穴", "8589": "好厉害 肉棒一直在搅动我的小穴", "8590": "好厉害 肉棒一直在搅动我的小穴", "8591": "好厉害 肉棒一直在搅动我的小穴", "8592": "好厉害 肉棒一直在搅动我的小穴", "8593": "好厉害 肉棒一直在搅动我的小穴", "8594": "好厉害 肉棒一直在搅动我的小穴", "8595": "好厉害 肉棒一直在搅动我的小穴", "8596": "好厉害 肉棒一直在搅动我的小穴", "8597": "好厉害 肉棒一直在搅动我的小穴", "8598": "---", "8599": "", "8600": "---", "8601": "好舒服", "8602": "好舒服", "8603": "好舒服", "8604": "好舒服", "8605": "", "8606": "", "8607": "------------", "8608": "---", "8609": "---", "8610": "---", "8611": "---", "8612": "", "8613": "好厉害 很好", "8614": "好厉害 很好", "8615": "好厉害 很好", "8616": "好厉害 很好", "8617": "好厉害 很好", "8618": "好厉害 很好", "8619": "", "8620": "", "8621": "", "8622": "", "8623": "这里好舒服", "8624": "这里好舒服", "8625": "这里好舒服", "8626": "这里好舒服", "8627": "这里好舒服", "8628": "", "8629": "高潮了", "8630": "高潮了", "8631": "高潮了", "8632": "高潮了", "8633": "高潮了", "8634": "", "8635": "", "8636": "", "8637": "", "8638": "好厉害 那里 用力顶", "8639": "好厉害那里用力顶", "8640": "好厉害 那里 用力顶", "8641": "好厉害那里用力顶", "8642": "好厉害那里用力顶", "8643": "好厉害 那里 用力顶", "8644": "好厉害那里用力顶", "8645": "好厉害那里用力顶", "8646": "高潮了 我高潮了", "8647": "高潮了 我高潮了", "8648": "高潮了 我高潮了", "8649": "高潮了 我高潮了", "8650": "高潮了 我高潮了", "8651": "高潮了 我高潮了", "8652": "", "8653": "", "8654": "", "8655": "", "8656": "", "8657": "", "8658": "", "8659": "", "8660": "再插深一点 插深一点 好舒服 好爽", "8661": "再插深一点 插深一点 好舒服 好爽", "8662": "再插深一点 插深一点 好舒服 好爽", "8663": "再插深一点 插深一点 好舒服 好爽", "8664": "再插深一点 插深一点 好舒服 好爽", "8665": "再插深一点 插深一点 好舒服 好爽", "8666": "再插深一点 插深一点 好舒服 好爽", "8667": "再插深一点 插深一点 好舒服 好爽", "8668": "再插深一点 插深一点 好舒服 好爽", "8669": "再插深一点 插深一点 好舒服 好爽", "8670": "再插深一点 插深一点 好舒服 好爽", "8671": "再插深一点 插深一点 好舒服 好爽", "8672": "再插深一点 插深一点 好舒服 好爽", "8673": "", "8674": "", "8675": "", "8676": "", "8677": "", "8678": "", "8679": "", "8680": "", "8681": "", "8682": "", "8683": "", "8684": "", "8685": "", "8686": "", "8687": "", "8688": "", "8689": "", "8690": "", "8691": "", "8692": "", "8693": "", "8694": "", "8695": "", "8696": "肉棒插的好深", "8697": "肉棒插的好深", "8698": "肉棒插的好深", "8699": "肉棒插的好深", "8700": "肉棒插的好深", "8701": "", "8702": "", "8703": "", "8704": "", "8705": "", "8706": "", "8707": "", "8708": "", "8709": "", "8710": "", "8711": "", "8712": "", "8713": "", "8714": "", "8715": "", "8716": "", "8717": "", "8718": "", "8719": "", "8720": "", "8721": "", "8722": "", "8723": "", "8724": "", "8725": "", "8726": "总是你在动不公平", "8727": "总是你在动不公平", "8728": "总是你在动不公平", "8729": "总是你在动不公平", "8730": "总是你在动不公平", "8731": "总是你在动不公平", "8732": "", "8733": "", "8734": "", "8735": "", "8736": "", "8737": "", "8738": "", "8739": "", "8740": "", "8741": "", "8742": "", "8743": "", "8744": "", "8745": "", "8746": "", "8747": "", "8748": "", "8749": "", "8750": "", "8751": "", "8752": "", "8753": "", "8754": "", "8755": "看着插进小穴的样子 要插进小穴了", "8756": "看着插进小穴的样子 要插进小穴了", "8757": "看着插进小穴的样子 要插进小穴了", "8758": "看着插进小穴的样子 要插进小穴了", "8759": "看着插进小穴的样子 要插进小穴了", "8760": "看着插进小穴的样子 要插进小穴了", "8761": "看着插进小穴的样子 要插进小穴了", "8762": "看着插进小穴的样子 要插进小穴了", "8763": "看着插进小穴的样子 要插进小穴了", "8764": "看着插进小穴的样子 要插进小穴了", "8765": "看着插进小穴的样子 要插进小穴了", "8766": "看着插进小穴的样子 要插进小穴了", "8767": "", "8768": "", "8769": "", "8770": "", "8771": "", "8772": "", "8773": "", "8774": "", "8775": "", "8776": "", "8777": "", "8778": "", "8779": "", "8780": "------", "8781": "", "8782": "", "8783": "肉棒一直在抽插小穴", "8784": "肉棒一直在抽插小穴", "8785": "肉棒一直在抽插小穴", "8786": "肉棒一直在抽插小穴", "8787": "肉棒一直在抽插小穴", "8788": "肉棒一直在抽插小穴", "8789": "", "8790": "", "8791": "---", "8792": "", "8793": "", "8794": "好舒服", "8795": "好舒服", "8796": "好舒服", "8797": "好舒服", "8798": "好舒服", "8799": "", "8800": "", "8801": "", "8802": "", "8803": "", "8804": "", "8805": "", "8806": "好厉害", "8807": "好厉害", "8808": "好厉害", "8809": "好厉害", "8810": "", "8811": "", "8812": "", "8813": "", "8814": "", "8815": "", "8816": "", "8817": "", "8818": "", "8819": "", "8820": "", "8821": "", "8822": "", "8823": "", "8824": "", "8825": "", "8826": "", "8827": "", "8828": "", "8829": "不行 高潮了 我高潮了", "8830": "不行 高潮了 我高潮了", "8831": "不行 高潮了 我高潮了", "8832": "不行 高潮了 我高潮了", "8833": "不行 高潮了 我高潮了", "8834": "", "8835": "", "8836": "", "8837": "", "8838": "", "8839": "", "8840": "", "8841": "", "8842": "", "8843": "这样搅动小穴好棒", "8844": "这样搅动小穴好棒", "8845": "这样搅动小穴好棒", "8846": "这样搅动小穴好棒", "8847": "这样搅动小穴好棒", "8848": "这样搅动小穴好棒", "8849": "", "8850": "", "8851": "", "8852": "", "8853": "", "8854": "", "8855": "", "8856": "", "8857": "", "8858": "", "8859": "", "8860": "", "8861": "", "8862": "", "8863": "", "8864": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8865": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8866": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8867": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8868": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8869": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8870": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8871": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8872": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8873": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8874": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8875": "这样从下面往上顶要高潮了 好爽 真是太爽了", "8876": "高潮了 我高潮了", "8877": "高潮了 我高潮了", "8878": "高潮了 我高潮了", "8879": "高潮了 我高潮了", "8880": "高潮了 我高潮了", "8881": "高潮了 我高潮了", "8882": "", "8883": "", "8884": "", "8885": "", "8886": "", "8887": "", "8888": "", "8889": "", "8890": "", "8891": "", "8892": "", "8893": "", "8894": "这样动的话 你会累的吧 让我来动吧", "8895": "这样动的话 你会累的吧 让我来动吧", "8896": "这样动的话 你会累的吧 让我来动吧", "8897": "这样动的话 你会累的吧 让我来动吧", "8898": "这样动的话 你会累的吧 让我来动吧", "8899": "这样动的话 你会累的吧 让我来动吧", "8900": "这样动的话你会累的吧 让我来动吧", "8901": "这样动的话 你会累的吧 让我来动吧", "8902": "这样动的话 你会累的吧 让我来动吧", "8903": "这样动的话 你会累的吧 让我来动吧", "8904": "这样动的话你会累的吧让我来动吧", "8905": "", "8906": "", "8907": "", "8908": "", "8909": "", "8910": "好舒服 我喜欢顶到 小穴最里面", "8911": "好舒服 我喜欢顶到 小穴最里面", "8912": "好舒服 我喜欢顶到 小穴最里面", "8913": "好舒服 我喜欢顶到 小穴最里面", "8914": "好舒服 我喜欢顶到 小穴最里面", "8915": "好舒服 我喜欢顶到 小穴最里面", "8916": "好舒服 我喜欢顶到 小穴最里面", "8917": "好舒服 我喜欢顶到 小穴最里面", "8918": "好舒服 我喜欢顶到 小穴最里面", "8919": "好舒服 我喜欢顶到 小穴最里面", "8920": "", "8921": "", "8922": "", "8923": "超舒服的", "8924": "超舒服的", "8925": "超舒服的", "8926": "超舒服的", "8927": "超舒服的", "8928": "", "8929": "这样就要高潮了 要高潮了 我要高潮了", "8930": "这样就要高潮了 要高潮了 我要高潮了", "8931": "这样就要高潮了 要高潮了 我要高潮了", "8932": "这样就要高潮了 要高潮了 我要高潮了", "8933": "这样就要高潮了 要高潮了 我要高潮了", "8934": "这样就要高潮了 要高潮了 我要高潮了", "8935": "这样就要高潮了 要高潮了 我要高潮了", "8936": "这样就要高潮了 要高潮了 我要高潮了", "8937": "", "8938": "高潮了", "8939": "高潮了", "8940": "高潮了", "8941": "高潮了", "8942": "高潮了", "8943": "", "8944": "", "8945": "", "8946": "", "8947": "", "8948": "", "8949": "我的小穴怎么样 舒服吗", "8950": "我的小穴怎么样 舒服吗", "8951": "我的小穴怎么样 舒服吗", "8952": "我的小穴怎么样 舒服吗", "8953": "我的小穴怎么样 舒服吗", "8954": "我的小穴怎么样 舒服吗", "8955": "我的小穴怎么样 舒服吗", "8956": "我的小穴怎么样 舒服吗", "8957": "我的小穴怎么样 舒服吗", "8958": "我的小穴怎么样 舒服吗", "8959": "我的小穴怎么样 舒服吗", "8960": "我的小穴怎么样 舒服吗", "8961": "", "8962": "", "8963": "", "8964": "", "8965": "", "8966": "", "8967": "", "8968": "", "8969": "", "8970": "", "8971": "", "8972": "", "8973": "", "8974": "", "8975": "", "8976": "", "8977": "", "8978": "", "8979": "", "8980": "", "8981": "", "8982": "", "8983": "", "8984": "", "8985": "", "8986": "", "8987": "---", "8988": "", "8989": "HTML", "8990": "", "8991": "", "8992": "", "8993": "", "8994": "", "8995": "", "8996": "", "8997": "", "8998": "", "8999": "", "9000": "", "9001": "", "9002": "", "9003": "", "9004": "", "9005": "", "9006": "", "9007": "", "9008": "", "9009": "", "9010": "", "9011": "", "9012": "", "9013": "", "9014": "", "9015": "", "9016": "", "9017": "", "9018": "", "9019": "", "9020": "", "9021": "---", "9022": "", "9023": "", "9024": "HTML", "9025": "", "9026": "---", "9027": "", "9028": "---", "9029": "---", "9030": "", "9031": "", "9032": "", "9033": "", "9034": "肉棒在小穴里面好硬", "9035": "肉棒在小穴里面好硬", "9036": "肉棒在小穴里面好硬", "9037": "肉棒在小穴里面好硬", "9038": "肉棒在小穴里面好硬", "9039": "肉棒在小穴里面好硬", "9040": "", "9041": "---------------", "9042": "", "9043": "", "9044": "", "9045": "", "9046": "", "9047": "", "9048": "", "9049": "", "9050": "", "9051": "", "9052": "", "9053": "", "9054": "", "9055": "", "9056": "高潮了 我高潮了", "9057": "高潮了 我高潮了", "9058": "高潮了 我高潮了", "9059": "高潮了 我高潮了", "9060": "高潮了 我高潮了", "9061": "高潮了 我高潮了", "9062": "高潮了 我高潮了", "9063": "高潮了 我高潮了", "9064": "", "9065": "", "9066": "---", "9067": "", "9068": "", "9069": "", "9070": "", "9071": "", "9072": "---", "9073": "---", "9074": "", "9075": "---", "9076": "", "9077": "", "9078": "", "9079": "", "9080": "", "9081": "", "9082": "", "9083": "好厉害 肉棒在里面动呢 好舒服", "9084": "好厉害 肉棒在里面动呢 好舒服", "9085": "好厉害 肉棒在里面动呢 好舒服", "9086": "好厉害 肉棒在里面动呢 好舒服", "9087": "好厉害 肉棒在里面动呢 好舒服", "9088": "好厉害 肉棒在里面动呢 好舒服", "9089": "好厉害 肉棒在里面动呢 好舒服", "9090": "好厉害 肉棒在里面动呢 好舒服", "9091": "好厉害 肉棒在里面动呢 好舒服", "9092": "好厉害 肉棒在里面动呢 好舒服", "9093": "", "9094": "我的唾液", "9095": "我的唾液", "9096": "我的唾液", "9097": "我的唾液", "9098": "我的唾液", "9099": "我的唾液", "9100": "", "9101": "", "9102": "", "9103": "怎么样 美味吗 好美味", "9104": "怎么样 美味吗 好美味", "9105": "怎么样 美味吗 好美味", "9106": "怎么样 美味吗 好美味", "9107": "怎么样 美味吗 好美味", "9108": "怎么样 美味吗 好美味", "9109": "怎么样 美味吗 好美味", "9110": "怎么样 美味吗 好美味", "9111": "怎么样 美味吗 好美味", "9112": "怎么样 美味吗 好美味", "9113": "怎么样 美味吗 好美味", "9114": "", "9115": "", "9116": "好舒服", "9117": "好舒服", "9118": "好舒服", "9119": "好舒服", "9120": "好舒服", "9121": "", "9122": "", "9123": "", "9124": "", "9125": "", "9126": "", "9127": "---", "9128": "", "9129": "", "9130": "", "9131": "", "9132": "", "9133": "", "9134": "", "9135": "", "9136": "", "9137": "", "9138": "", "9139": "", "9140": "", "9141": "", "9142": "", "9143": "", "9144": "你还想跟我做爱吧", "9145": "你还想跟我做爱吧", "9146": "你还想跟我做爱吧", "9147": "你还想跟我做爱吧", "9148": "你还想跟我做爱吧", "9149": "你还想跟我做爱吧", "9150": "", "9151": "", "9152": "", "9153": "", "9154": "", "9155": "", "9156": "好厉害", "9157": "好厉害", "9158": "好厉害", "9159": "好厉害", "9160": "好厉害", "9161": "", "9162": "", "9163": "", "9164": "", "9165": "", "9166": "", "9167": "", "9168": "", "9169": "", "9170": "", "9171": "", "9172": "高潮了 我高潮了", "9173": "高潮了 我高潮了", "9174": "高潮了 我高潮了", "9175": "高潮了 我高潮了", "9176": "高潮了 我高潮了", "9177": "高潮了 我高潮了", "9178": "高潮了 我高潮了", "9179": "高潮了 我高潮了", "9180": "高潮了 我高潮了", "9181": "", "9182": "", "9183": "", "9184": "", "9185": "", "9186": "", "9187": "", "9188": "---", "9189": "", "9190": "", "9191": "", "9192": "", "9193": "---", "9194": "", "9195": "", "9196": "", "9197": "", "9198": "", "9199": "", "9200": "", "9201": "", "9202": "", "9203": "", "9204": "", "9205": "", "9206": "", "9207": "", "9208": "", "9209": "", "9210": "", "9211": "高潮了", "9212": "高潮了", "9213": "高潮了", "9214": "高潮了", "9215": "高潮了", "9216": "", "9217": "", "9218": "", "9219": "", "9220": "___", "9221": "", "9222": "", "9223": "", "9224": "", "9225": "", "9226": "", "9227": "", "9228": "", "9229": "", "9230": "你还能继续吗", "9231": "你还能继续吗", "9232": "你还能继续吗", "9233": "你还能继续吗", "9234": "你还能继续吗", "9235": "", "9236": "", "9237": "", "9238": "", "9239": "", "9240": "来这边", "9241": "来这边", "9242": "来这边", "9243": "来这边", "9244": "来这边", "9245": "", "9246": "", "9247": "", "9248": "", "9249": "", "9250": "", "9251": "", "9252": "", "9253": "", "9254": "", "9255": "", "9256": "", "9257": "", "9258": "", "9259": "", "9260": "", "9261": "", "9262": "", "9263": "", "9264": "", "9265": "", "9266": "", "9267": "太厉害了 肉棒一直都好硬", "9268": "太厉害了 肉棒一直都好硬", "9269": "太厉害了 肉棒一直都好硬", "9270": "太厉害了 肉棒一直都好硬", "9271": "太厉害了 肉棒一直都好硬", "9272": "太厉害了 肉棒一直都好硬", "9273": "太厉害了 肉棒一直都好硬", "9274": "太厉害了 肉棒一直都好硬", "9275": "太厉害了 肉棒一直都好硬", "9276": "", "9277": "", "9278": "", "9279": "", "9280": "", "9281": "", "9282": "", "9283": "", "9284": "", "9285": "", "9286": "", "9287": "这样呢 好舒服", "9288": "这样呢 好舒服", "9289": "这样呢 好舒服", "9290": "这样呢 好舒服", "9291": "这样呢 好舒服", "9292": "这样呢 好舒服", "9293": "这样呢 好舒服", "9294": "", "9295": "", "9296": "", "9297": "", "9298": "好厉害", "9299": "好厉害", "9300": "好厉害", "9301": "好厉害", "9302": "硬梆梆的肉棒摩擦的感觉 好舒服啊", "9303": "硬梆梆的肉棒摩擦的感觉 好舒服啊", "9304": "硬梆梆的肉棒摩擦的感觉 好舒服啊", "9305": "硬梆梆的肉棒摩擦的感觉 好舒服啊", "9306": "硬梆梆的肉棒摩擦的感觉 好舒服啊", "9307": "硬梆梆的肉棒摩擦的感觉 好舒服啊", "9308": "硬梆梆的肉棒摩擦的感觉 好舒服啊", "9309": "A", "9310": "SPH", "9311": "SP10+", "9312": "SP10-1型", "9313": "SPH-1专用", "9314": "SPIO-1 FEB", "9315": "不过你想插进小穴吧", "9316": "不过你想插进小穴吧", "9317": "不过你想插进小穴吧", "9318": "不过你想插进小穴吧", "9319": "不过你想插进小穴吧", "9320": "不过你想插进小穴吧", "9321": "", "9322": "", "9323": "", "9324": "", "9325": "", "9326": "", "9327": "", "9328": "", "9329": "", "9330": "用力插进小穴吧", "9331": "用力插进小穴吧", "9332": "用力插进小穴吧", "9333": "用力插进小穴吧", "9334": "用力插进小穴吧", "9335": "", "9336": "", "9337": "------", "9338": "", "9339": "", "9340": "", "9341": "", "9342": "", "9343": "好厉害", "9344": "好厉害", "9345": "好厉害", "9346": "好厉害", "9347": "好厉害", "9348": "", "9349": "", "9350": "", "9351": "你的肉棒好厉害 太舒服了", "9352": "你的肉棒好厉害太舒服了", "9353": "你的肉棒好厉害 太舒服了", "9354": "你的肉棒好厉害 太舒服了", "9355": "你的肉棒好厉害 太舒服了", "9356": "你的肉棒好厉害 太舒服了", "9357": "你的肉棒好厉害 太舒服了", "9358": "你的肉棒好厉害 太舒服了", "9359": "你的肉棒好厉害 太舒服了", "9360": "你的肉棒好厉害 太舒服了", "9361": "你的肉棒好厉害 太舒服了", "9362": "", "9363": "", "9364": "", "9365": "", "9366": "", "9367": "", "9368": "真的好舒服", "9369": "真的好舒服", "9370": "真的好舒服", "9371": "真的好舒服", "9372": "真的好舒服", "9373": "真的好舒服", "9374": "", "9375": "", "9376": "", "9377": "", "9378": "", "9379": "", "9380": "", "9381": "", "9382": "---", "9383": "---", "9384": "---", "9385": "那里 好舒服啊", "9386": "那里 好舒服啊", "9387": "那里 好舒服啊", "9388": "那里 好舒服啊", "9389": "那里 好舒服啊", "9390": "那里 好舒服啊", "9391": "", "9392": "------", "9393": "", "9394": "---", "9395": "", "9396": "---", "9397": "---", "9398": "", "9399": "---", "9400": "顶到舒服的地方了", "9401": "顶到舒服的地方了", "9402": "顶到舒服的地方了", "9403": "顶到舒服的地方了", "9404": "顶到舒服的地方了", "9405": "顶到舒服的地方了", "9406": "", "9407": "---", "9408": "", "9409": "高潮了 我高潮了", "9410": "高潮了 我高潮了", "9411": "高潮了 我高潮了", "9412": "高潮了 我高潮了", "9413": "高潮了 我高潮了", "9414": "高潮了 我高潮了", "9415": "---", "9416": "", "9417": "", "9418": "", "9419": "---", "9420": "---", "9421": "", "9422": "", "9423": "", "9424": "", "9425": "", "9426": "NJ", "9427": "", "9428": "", "9429": "", "9430": "", "9431": "DAY", "9432": "", "9433": "", "9434": "", "9435": "", "9436": "", "9437": "", "9438": "", "9439": "", "9440": "", "9441": "", "9442": "", "9443": "", "9444": "", "9445": "", "9446": "", "9447": "", "9448": "", "9449": "", "9450": "", "9451": "", "9452": "好厉害", "9453": "好厉害", "9454": "好厉害", "9455": "好厉害", "9456": "", "9457": "", "9458": "", "9459": "", "9460": "", "9461": "", "9462": "", "9463": "", "9464": "", "9465": "", "9466": "", "9467": "", "9468": "", "9469": "", "9470": "", "9471": "", "9472": "舒服极了 不行 那里要高潮了", "9473": "舒服极了 不行 那里要高潮了", "9474": "舒服极了 不行 那里要高潮了", "9475": "舒服极了 不行 那里要高潮了", "9476": "舒服极了 不行 那里要高潮了", "9477": "舒服极了 不行 那里要高潮了", "9478": "我要高潮了", "9479": "我要高潮了", "9480": "我要高潮了", "9481": "我要高潮了", "9482": "我要高潮了", "9483": "", "9484": "", "9485": "别停 别停下", "9486": "别停 别停下", "9487": "别停 别停下", "9488": "别停 别停下", "9489": "别停 别停下", "9490": "别停 别停下", "9491": "", "9492": "", "9493": "", "9494": "", "9495": "", "9496": "", "9497": "", "9498": "", "9499": "", "9500": "", "9501": "", "9502": "", "9503": "", "9504": "", "9505": "", "9506": "", "9507": "", "9508": "", "9509": "", "9510": "", "9511": "", "9512": "", "9513": "", "9514": "", "9515": "肉棒太爽了", "9516": "肉棒太爽了", "9517": "肉棒太爽了", "9518": "肉棒太爽了", "9519": "肉棒太爽了", "9520": "", "9521": "", "9522": "", "9523": "------", "9524": "", "9525": "", "9526": "", "9527": "", "9528": "", "9529": "", "9530": "", "9531": "___", "9532": "", "9533": "", "9534": "", "9535": "", "9536": "", "9537": "", "9538": "", "9539": "", "9540": "", "9541": "", "9542": "", "9543": "", "9544": "", "9545": "", "9546": "", "9547": "", "9548": "", "9549": "", "9550": "", "9551": "", "9552": "", "9553": "", "9554": "", "9555": "", "9556": "舔遍我的全身上下", "9557": "舔遍我的全身上下", "9558": "舔遍我的全身上下", "9559": "舔遍我的全身上下", "9560": "舔遍我的全身上下", "9561": "舔遍我的全身上下", "9562": "---", "9563": "", "9564": "", "9565": "", "9566": "", "9567": "", "9568": "", "9569": "", "9570": "", "9571": "", "9572": "", "9573": "太舒服了", "9574": "太舒服了", "9575": "太舒服了", "9576": "太舒服了", "9577": "太舒服了", "9578": "---", "9579": "", "9580": "---", "9581": "", "9582": "---", "9583": "高潮了", "9584": "高潮了", "9585": "高潮了", "9586": "高潮了", "9587": "高潮了", "9588": "---------------", "9589": "---", "9590": "", "9591": "", "9592": "---", "9593": "怎么样 你舒服吗", "9594": "怎么样 你舒服吗", "9595": "怎么样 你舒服吗", "9596": "怎么样 你舒服吗", "9597": "怎么样 你舒服吗", "9598": "", "9599": "", "9600": "", "9601": "", "9602": "", "9603": "", "9604": "", "9605": "", "9606": "", "9607": "", "9608": "", "9609": "", "9610": "不用忍着", "9611": "不用忍着", "9612": "不用忍着", "9613": "不用忍着", "9614": "不用忍着", "9615": "不用忍着", "9616": "", "9617": "", "9618": "", "9619": "", "9620": "", "9621": "", "9622": "好舒服", "9623": "好舒服", "9624": "好舒服", "9625": "好舒服", "9626": "好舒服", "9627": "---------------", "9628": "---", "9629": "", "9630": "", "9631": "", "9632": "---", "9633": "", "9634": "---", "9635": "---", "9636": "好舒服", "9637": "好舒服", "9638": "好舒服", "9639": "好舒服", "9640": "好舒服", "9641": "", "9642": "", "9643": "", "9644": "", "9645": "射在小穴里面吧 全都射进来", "9646": "射在小穴里面吧 全都射进来", "9647": "射在小穴里面吧 全都射进来", "9648": "射在小穴里面吧 全都射进来", "9649": "射在小穴里面吧 全都射进来", "9650": "射在小穴里面吧 全都射进来", "9651": "射了", "9652": "射了", "9653": "射了", "9654": "射了", "9655": "", "9656": "", "9657": "", "9658": "", "9659": "", "9660": "", "9661": "", "9662": "", "9663": "", "9664": "", "9665": "__________________", "9666": "", "9667": "", "9668": "---", "9669": "", "9670": "", "9671": "", "9672": "---", "9673": "", "9674": "", "9675": "", "9676": "", "9677": "好舒服", "9678": "好舒服", "9679": "好舒服", "9680": "好舒服", "9681": "", "9682": "", "9683": "------------------", "9684": "", "9685": "", "9686": "", "9687": "", "9688": "", "9689": "", "9690": "", "9691": "", "9692": "", "9693": "---", "9694": "", "9695": "", "9696": "", "9697": "", "9698": "", "9699": "", "9700": "", "9701": "", "9702": "", "9703": "", "9704": "", "9705": "", "9706": "", "9707": "", "9708": "", "9709": "", "9710": "", "9711": "", "9712": "", "9713": "", "9714": "", "9715": "", "9716": "", "9717": "", "9718": "", "9719": "", "9720": "", "9721": "", "9722": "医生", "9723": "医生", "9724": "医生", "9725": "医生", "9726": "", "9727": "", "9728": "", "9729": "10-14岁", "9730": "10-1期B", "9731": "NO.1专用", "9732": "PHD-手術", "9733": "", "9734": "", "9735": "P10一手机", "9736": "Pトローネ電話", "9737": "PHD一专用", "9738": "PH0一1瓶盖", "9739": "PHO一号馆", "9740": "SPHO一专用", "9741": "SPHO-1", "9742": "SPNO-1", "9743": "SPH", "9744": "SP", "9745": "", "9746": "", "9747": "", "9748": "", "9749": "", "9750": "", "9751": "", "9752": "", "9753": "", "9754": "", "9755": "", "9756": "", "9757": "", "9758": "", "9759": "", "9760": "", "9761": "", "9762": "", "9763": "", "9764": "", "9765": "", "9766": "", "9767": "", "9768": "", "9769": "", "9770": "", "9771": "", "9772": "", "9773": "", "9774": "", "9775": "", "9776": "", "9777": "", "9778": "", "9779": "", "9780": "", "9781": "", "9782": "比我想像中还要舒服", "9783": "比我想像中还要舒服", "9784": "比我想像中还要舒服", "9785": "比我想像中还要舒服", "9786": "比我想像中还要舒服", "9787": "比我想像中还要舒服", "9788": "", "9789": "", "9790": "", "9791": "那么后面你要帮忙哦", "9792": "那么后面你要帮忙哦", "9793": "那么后面你要帮忙哦", "9794": "那么后面你要帮忙哦", "9795": "那么后面你要帮忙哦", "9796": "那么后面你要帮忙哦", "9797": "那么后面你要帮忙哦", "9798": "那么后面你要帮忙哦", "9799": "那么后面你要帮忙哦", "9800": "好的 我很荣幸", "9801": "好的 我很荣幸", "9802": "好的 我很荣幸", "9803": "好的 我很荣幸", "9804": "好的 我很荣幸", "9805": "好的 我很荣幸", "9806": "好的 我很荣幸", "9807": "", "9808": "", "9809": "", "9810": "", "9811": "", "9812": "", "9813": "", "9814": "", "9815": "", "9816": "", "9817": "", "9818": "", "9819": "", "9820": "", "9821": "", "9822": "", "9823": "", "9824": "", "9825": "", "9826": "", "9827": "", "9828": "", "9829": "", "9830": "", "9831": "", "9832": "", "9833": "", "9834": "", "9835": "", "9836": "", "9837": "", "9838": "", "9839": "", "9840": "", "9841": "", "9842": "", "9843": "", "9844": "", "9845": "", "9846": "", "9847": "", "9848": "", "9849": "", "9850": "", "9851": "果林前辈", "9852": "果林前辈", "9853": "果林前辈", "9854": "果林前辈", "9855": "抱歉 明明不是你上夜班", "9856": "抱歉 明明不是你上夜班", "9857": "抱歉 明明不是你上夜班", "9858": "抱歉 明明不是你上夜班", "9859": "抱歉 明明不是你上夜班", "9860": "感谢你的陪同", "9861": "感谢你的陪同", "9862": "感谢你的陪同", "9863": "感谢你的陪同", "9864": "感谢你的陪同", "9865": "", "9866": "", "9867": "", "9868": "", "9869": "不过话说回来 权藤医生说的", "9870": "不过话说回来 权藤医生说的", "9871": "不过话说回来 权藤医生说的", "9872": "不过话说回来 权藤医生说的", "9873": "不过话说回来 权藤医生说的", "9874": "业务到底是什么", "9875": "业务到底是什么", "9876": "业务到底是什么", "9877": "业务到底是什么", "9878": "业务到底是什么", "9879": "", "9880": "", "9881": "", "9882": "M", "9883": "", "9884": "", "9885": "", "9886": "", "9887": "", "9888": "", "9889": "", "9890": "", "9891": "", "9892": "", "9893": "", "9894": "", "9895": "", "9896": "", "9897": "", "9898": "", "9899": "", "9900": "", "9901": "", "9902": "", "9903": "", "9904": "", "9905": "", "9906": "", "9907": "", "9908": "", "9909": "", "9910": "", "9911": "", "9912": "", "9913": "", "9914": "", "9915": "", "9916": "辛苦了 还请多多指教", "9917": "辛苦了 还请多多指教", "9918": "辛苦了 还请多多指教", "9919": "辛苦了 还请多多指教", "9920": "辛苦了 还请多多指教", "9921": "辛苦了 还请多多指教", "9922": "辛苦了 还请多多指教", "9923": "辛苦了 还请多多指教", "9924": "", "9925": "", "9926": "", "9927": "", "9928": "", "9929": "", "9930": "", "9931": "", "9932": "", "9933": "", "9934": "", "9935": "", "9936": "", "9937": "", "9938": "", "9939": "", "9940": "A", "9941": "你在干什么 松井小姐", "9942": "你在干什么 松井小姐", "9943": "你在干什么 松井小姐", "9944": "你在干什么 松井小姐", "9945": "你在干什么 松井小姐", "9946": "你在干什么 松井小姐", "9947": "你在干什么 松井小姐", "9948": "你在干什么 松井小姐", "9949": "请放开我", "9950": "请放开我", "9951": "请放开我", "9952": "请放开我", "9953": "请放开我", "9954": "", "9955": "", "9956": "这是新业务的培训 松井小姐", "9957": "这是新业务的培训 松井小姐", "9958": "这是新业务的培训 松井小姐", "9959": "这是新业务的培训 松井小姐", "9960": "这是新业务的培训 松井小姐", "9961": "这是新业务的培训 松井小姐", "9962": "这是新业务的培训 松井小姐", "9963": "这是新业务的培训 松井小姐", "9964": "这是新业务的培训 松井小姐", "9965": "", "9966": "", "9967": "", "9968": "", "9969": "北冈小姐是吧", "9970": "北冈小姐是吧", "9971": "北冈小姐是吧", "9972": "北冈小姐是吧", "9973": "", "9974": "来吧 快动手", "9975": "来吧 快动手", "9976": "来吧 快动手", "9977": "来吧 快动手", "9978": "来吧 快动手", "9979": "来吧 快动手", "9980": "", "9981": "", "9982": "", "9983": "", "9984": "", "9985": "", "9986": "", "9987": "---", "9988": "", "9989": "", "9990": "", "9991": "", "9992": "", "9993": "", "9994": "", "9995": "果林前辈", "9996": "果林前辈", "9997": "果林前辈", "9998": "果林前辈", "9999": "松井小姐 请你闭嘴 好好学习", "10000": "松井小姐 请你闭嘴 好好学习", "10001": "松井小姐 请你闭嘴 好好学习", "10002": "松井小姐 请你闭嘴 好好学习", "10003": "松井小姐 请你闭嘴 好好学习", "10004": "松井小姐 请你闭嘴 好好学习", "10005": "松井小姐 请你闭嘴 好好学习", "10006": "松井小姐 请你闭嘴 好好学习", "10007": "松井小姐 请你闭嘴 好好学习", "10008": "松井小姐 请你闭嘴 好好学习", "10009": "松井小姐 请你闭嘴 好好学习", "10010": "松井小姐 请你闭嘴 好好学习", "10011": "", "10012": "", "10013": "", "10014": "", "10015": "", "10016": "---", "10017": "", "10018": "", "10019": "", "10020": "", "10021": "", "10022": "", "10023": "", "10024": "", "10025": "", "10026": "", "10027": "真是吵死了 北冈小姐她", "10028": "真是吵死了 北冈小姐她", "10029": "真是吵死了 北冈小姐她", "10030": "真是吵死了 北冈小姐她", "10031": "真是吵死了 北冈小姐她", "10032": "真是吵死了 北冈小姐她", "10033": "真是吵死了 北冈小姐她", "10034": "真是吵死了 北冈小姐她", "10035": "真是吵死了 北冈小姐她", "10036": "", "10037": "已经在这里3年了 早就习惯了", "10038": "已经在这里3年了 早就习惯了", "10039": "已经在这里3年了 早就习惯了", "10040": "已经在这里3年了 早就习惯了", "10041": "已经在这里3年了 早就习惯了", "10042": "已经在这里3年了 早就习惯了", "10043": "已经在这里3年了 早就习惯了", "10044": "已经在这里3年了 早就习惯了", "10045": "已经在这里3年了 早就习惯了", "10046": "已经在这里3年了 早就习惯了", "10047": "", "10048": "", "10049": "", "10050": "", "10051": "", "10052": "", "10053": "", "10054": "", "10055": "", "10056": "", "10057": "", "10058": "", "10059": "", "10060": "", "10061": "", "10062": "松井小姐 请不要看", "10063": "松井小姐 请不要看", "10064": "松井小姐 请不要看", "10065": "松井小姐 请不要看", "10066": "松井小姐 请不要看", "10067": "", "10068": "", "10069": "", "10070": "", "10071": "", "10072": "", "10073": "", "10074": "", "10075": "为什么 这是为什么", "10076": "为什么 这是为什么", "10077": "为什么 这是为什么", "10078": "为什么 这是为什么", "10079": "为什么 这是为什么", "10080": "为什么 这是为什么", "10081": "", "10082": "", "10083": "", "10084": "", "10085": "", "10086": "", "10087": "是想帮助重要的前辈吗", "10088": "是想帮助重要的前辈吗", "10089": "是想帮助重要的前辈吗", "10090": "是想帮助重要的前辈吗", "10091": "是想帮助重要的前辈吗", "10092": "是想帮助重要的前辈吗", "10093": "是想帮助重要的前辈吗", "10094": "是想帮助重要的前辈吗", "10095": "是想帮助重要的前辈吗", "10096": "", "10097": "", "10098": "", "10099": "很遗憾", "10100": "很遗憾", "10101": "很遗憾", "10102": "很遗憾", "10103": "很遗憾", "10104": "接下来 你也会有同样的遭遇", "10105": "接下来 你也会有同样的遭遇", "10106": "接下来 你也会有同样的遭遇", "10107": "接下来 你也会有同样的遭遇", "10108": "接下来 你也会有同样的遭遇", "10109": "接下来 你也会有同样的遭遇", "10110": "接下来 你也会有同样的遭遇", "10111": "接下来 你也会有同样的遭遇", "10112": "接下来 你也会有同样的遭遇", "10113": "不要", "10114": "不要", "10115": "不要", "10116": "不要", "10117": "", "10118": "", "10119": "", "10120": "", "10121": "", "10122": "", "10123": "", "10124": "", "10125": "", "10126": "", "10127": "", "10128": "", "10129": "", "10130": "", "10131": "", "10132": "", "10133": "", "10134": "---", "10135": "", "10136": "", "10137": "", "10138": "", "10139": "", "10140": "", "10141": "", "10142": "", "10143": "", "10144": "---", "10145": "", "10146": "", "10147": "", "10148": "---", "10149": "", "10150": "", "10151": "", "10152": "", "10153": "住手 不要", "10154": "住手 不要", "10155": "住手 不要", "10156": "住手 不要", "10157": "住手 不要", "10158": "", "10159": "", "10160": "", "10161": "", "10162": "", "10163": "", "10164": "", "10165": "", "10166": "", "10167": "", "10168": "", "10169": "", "10170": "", "10171": "The image is blurry and does not contain any discernible text.", "10172": "", "10173": "", "10174": "", "10175": "", "10176": "", "10177": "", "10178": "", "10179": "", "10180": "要怎么说才好呢 你也会遇到一样的事的", "10181": "要怎么说才好呢 你也会遇到一样的事的", "10182": "要怎么说才好呢 你也会遇到一样的事的", "10183": "要怎么说才好呢 你也会遇到一样的事的", "10184": "要怎么说才好呢 你也会遇到一样的事的", "10185": "要怎么说才好呢 你也会遇到一样的事的", "10186": "要怎么说才好呢 你也会遇到一样的事的", "10187": "要怎么说才好呢 你也会遇到一样的事的", "10188": "要怎么说才好呢 你也会遇到一样的事的", "10189": "要怎么说才好呢 你也会遇到一样的事的", "10190": "要怎么说才好呢 你也会遇到一样的事的", "10191": "要怎么说才好呢 你也会遇到一样的事的", "10192": "", "10193": "", "10194": "", "10195": "", "10196": "", "10197": "", "10198": "", "10199": "", "10200": "", "10201": "", "10202": "", "10203": "", "10204": "", "10205": "", "10206": "", "10207": "", "10208": "", "10209": "A", "10210": "", "10211": "不要 不可以", "10212": "不要 不可以", "10213": "不要 不可以", "10214": "不要 不可以", "10215": "不要 不可以", "10216": "不要 不可以", "10217": "不要 不可以", "10218": "", "10219": "", "10220": "", "10221": "", "10222": "", "10223": "", "10224": "", "10225": "", "10226": "", "10227": "", "10228": "", "10229": "", "10230": "", "10231": "看看北冈小姐吧", "10232": "看看北冈小姐吧", "10233": "看看北冈小姐吧", "10234": "看看北冈小姐吧", "10235": "看看北冈小姐吧", "10236": "看看北冈小姐吧", "10237": "明明你都任我摆布了", "10238": "明明你都任我摆布了", "10239": "明明你都任我摆布了", "10240": "明明你都任我摆布了", "10241": "明明你都任我摆布了", "10242": "明明你都任我摆布了", "10243": "明明你都任我摆布了", "10244": "明明你都任我摆布了", "10245": "明明你都任我摆布了", "10246": "明明你都任我摆布了", "10247": "明明你都任我摆布了", "10248": "", "10249": "", "10250": "", "10251": "", "10252": "", "10253": "", "10254": "", "10255": "", "10256": "", "10257": "", "10258": "", "10259": "身体不要紧绷着", "10260": "身体不要紧绷着", "10261": "身体不要紧绷着", "10262": "身体不要紧绷着", "10263": "身体不要紧绷着", "10264": "身体不要紧绷着", "10265": "", "10266": "", "10267": "", "10268": "", "10269": "", "10270": "身体不要紧绷着", "10271": "身体不要紧绷着", "10272": "身体不要紧绷着", "10273": "身体不要紧绷着", "10274": "身体不要紧绷着", "10275": "身体不要紧绷着", "10276": "身体不要紧绷着", "10277": "不要 怎么样呀", "10278": "不要怎么样呀", "10279": "不要 怎么样呀", "10280": "不要 怎么样呀", "10281": "不要 怎么样呀", "10282": "不要 怎么样呀", "10283": "不要 怎么样呀", "10284": "不要 怎么样呀", "10285": "不要 怎么样呀", "10286": "", "10287": "", "10288": "", "10289": "", "10290": "", "10291": "", "10292": "", "10293": "", "10294": "", "10295": "", "10296": "", "10297": "", "10298": "", "10299": "", "10300": "", "10301": "", "10302": "", "10303": "", "10304": "", "10305": "", "10306": "", "10307": "", "10308": "", "10309": "---", "10310": "松井小姐 你真可爱呢", "10311": "松井小姐 你真可爱呢", "10312": "松井小姐 你真可爱呢", "10313": "松井小姐 你真可爱呢", "10314": "松井小姐 你真可爱呢", "10315": "松井小姐 你真可爱呢", "10316": "松井小姐 你真可爱呢", "10317": "松井小姐 你真可爱呢", "10318": "松井小姐 你真可爱呢", "10319": "松井小姐 你真可爱呢", "10320": "", "10321": "", "10322": "", "10323": "", "10324": "", "10325": "不要", "10326": "不要", "10327": "不要", "10328": "不要", "10329": "", "10330": "", "10331": "不要", "10332": "不要", "10333": "不要", "10334": "不要", "10335": "不要", "10336": "不要", "10337": "", "10338": "", "10339": "", "10340": "", "10341": "", "10342": "", "10343": "", "10344": "", "10345": "", "10346": "", "10347": "", "10348": "", "10349": "", "10350": "", "10351": "", "10352": "", "10353": "", "10354": "", "10355": "", "10356": "", "10357": "", "10358": "", "10359": "", "10360": "", "10361": "", "10362": "", "10363": "---", "10364": "", "10365": "", "10366": "", "10367": "", "10368": "", "10369": "", "10370": "你很敏感呢", "10371": "你很敏感呢", "10372": "你很敏感呢", "10373": "你很敏感呢", "10374": "你很敏感呢", "10375": "", "10376": "", "10377": "", "10378": "", "10379": "不要 住手 别这样", "10380": "不要 住手 别这样", "10381": "不要 住手 别这样", "10382": "不要 住手 别这样", "10383": "不要 住手 别这样", "10384": "不要 住手 别这样", "10385": "不要 住手 别这样", "10386": "不要 住手 别这样", "10387": "不要 住手 别这样", "10388": "不要 住手 别这样", "10389": "I", "10390": "", "10391": "", "10392": "", "10393": "安静点", "10394": "安静点", "10395": "安静点", "10396": "安静点", "10397": "安静点", "10398": "", "10399": "", "10400": "", "10401": "", "10402": "", "10403": "那个地方被摸到了", "10404": "那个地方被摸到了", "10405": "那个地方被摸到了", "10406": "那个地方被摸到了", "10407": "那个地方被摸到了", "10408": "那个地方被摸到了", "10409": "那个地方被摸到了", "10410": "那个地方被摸到了", "10411": "", "10412": "", "10413": "", "10414": "", "10415": "看你一副好舒服的样子呢", "10416": "看你一副好舒服的样子呢", "10417": "看你一副好舒服的样子呢", "10418": "看你一副好舒服的样子呢", "10419": "看你一副好舒服的样子呢", "10420": "看你一副好舒服的样子呢", "10421": "看你一副好舒服的样子呢", "10422": "", "10423": "", "10424": "", "10425": "别看我了", "10426": "别看我了", "10427": "别看我了", "10428": "别看我了", "10429": "", "10430": "", "10431": "", "10432": "", "10433": "", "10434": "", "10435": "", "10436": "", "10437": "", "10438": "", "10439": "", "10440": "", "10441": "", "10442": "", "10443": "", "10444": "", "10445": "", "10446": "", "10447": "", "10448": "", "10449": "---", "10450": "", "10451": "---", "10452": "", "10453": "", "10454": "---", "10455": "不行 快住手", "10456": "不行 快住手", "10457": "不行 快住手", "10458": "不行 快住手", "10459": "不行 快住手", "10460": "不行 快住手", "10461": "---", "10462": "HTML", "10463": "", "10464": "", "10465": "", "10466": "", "10467": "background", "10468": "已经湿了", "10469": "已经湿了", "10470": "已经湿了", "10471": "已经湿了", "10472": "已经湿了", "10473": "已经湿了", "10474": "", "10475": "", "10476": "", "10477": "", "10478": "", "10479": "", "10480": "", "10481": "", "10482": "---", "10483": "", "10484": "", "10485": "", "10486": "", "10487": "", "10488": "", "10489": "", "10490": "", "10491": "", "10492": "", "10493": "", "10494": "", "10495": "", "10496": "b.o", "10497": "", "10498": "", "10499": "", "10500": "", "10501": "", "10502": "", "10503": "", "10504": "", "10505": "", "10506": "", "10507": "", "10508": "", "10509": "", "10510": "", "10511": "", "10512": "", "10513": "", "10514": "", "10515": "", "10516": "", "10517": "", "10518": "", "10519": "", "10520": "", "10521": "", "10522": "", "10523": "", "10524": "", "10525": "", "10526": "", "10527": "", "10528": "", "10529": "", "10530": "", "10531": "", "10532": "", "10533": "", "10534": "", "10535": "", "10536": "", "10537": "", "10538": "", "10539": "", "10540": "", "10541": "", "10542": "", "10543": "", "10544": "", "10545": "---", "10546": "", "10547": "", "10548": "---", "10549": "松井小姐的阴蒂和里面", "10550": "松井小姐的阴蒂和里面", "10551": "松井小姐的阴蒂和里面", "10552": "松井小姐的阴蒂和里面", "10553": "松井小姐的阴蒂和里面", "10554": "松井小姐的阴蒂和里面", "10555": "松井小姐的阴蒂和里面", "10556": "松井小姐的阴蒂和里面", "10557": "松井小姐的阴蒂和里面", "10558": "松井小姐的阴蒂和里面", "10559": "松井小姐的阴蒂和里面", "10560": "", "10561": "", "10562": "", "10563": "", "10564": "", "10565": "喜欢刺激哪里", "10566": "喜欢刺激哪里", "10567": "喜欢刺激哪里", "10568": "喜欢刺激哪里", "10569": "喜欢刺激哪里", "10570": "喜欢刺激哪里", "10571": "", "10572": "", "10573": "", "10574": "", "10575": "", "10576": "", "10577": "快回", "10578": "快回", "10579": "快回", "10580": "快回", "10581": "快回", "10582": "快回", "10583": "快回", "10584": "", "10585": "---", "10586": "---", "10587": "", "10588": "", "10589": "", "10590": "", "10591": "---", "10592": "", "10593": "", "10594": "", "10595": "---", "10596": "", "10597": "", "10598": "", "10599": "", "10600": "", "10601": "", "10602": "真啰嗦 下面都这么湿了", "10603": "真啰嗦 下面都这么湿了", "10604": "真啰嗦 下面都这么湿了", "10605": "真啰嗦 下面都这么湿了", "10606": "真啰嗦 下面都这么湿了", "10607": "真啰嗦 下面都这么湿了", "10608": "真啰嗦 下面都这么湿了", "10609": "真啰嗦 下面都这么湿了", "10610": "真啰嗦 下面都这么湿了", "10611": "真啰嗦 下面都这么湿了", "10612": "还叫什么呢", "10613": "还叫什么呢", "10614": "还叫什么呢", "10615": "还叫什么呢", "10616": "还叫什么呢", "10617": "还叫什么呢", "10618": "还叫什么呢", "10619": "---", "10620": "", "10621": "", "10622": "", "10623": "", "10624": "---", "10625": "------", "10626": "---------------", "10627": "", "10628": "", "10629": "", "10630": "", "10631": "", "10632": "", "10633": "", "10634": "", "10635": "", "10636": "", "10637": "", "10638": "", "10639": "", "10640": "", "10641": "", "10642": "", "10643": "", "10644": "", "10645": "", "10646": "", "10647": "", "10648": "", "10649": "", "10650": "", "10651": "", "10652": "", "10653": "", "10654": "", "10655": "", "10656": "", "10657": "", "10658": "", "10659": "", "10660": "", "10661": "", "10662": "", "10663": "", "10664": "---", "10665": "", "10666": "", "10667": "", "10668": "", "10669": "", "10670": "", "10671": "", "10672": "", "10673": "", "10674": "___", "10675": "", "10676": "", "10677": "", "10678": "---", "10679": "", "10680": "", "10681": "", "10682": "", "10683": "", "10684": "", "10685": "", "10686": "", "10687": "放松一点 哪里舒服", "10688": "放松一点 哪里舒服", "10689": "放松一点 哪里舒服", "10690": "放松一点 哪里舒服", "10691": "放松一点 哪里舒服", "10692": "放松一点 哪里舒服", "10693": "放松一点 哪里舒服", "10694": "放松一点哪里舒服", "10695": "放松一点 哪里舒服", "10696": "", "10697": "", "10698": "", "10699": "", "10700": "", "10701": "", "10702": "", "10703": "", "10704": "", "10705": "", "10706": "", "10707": "", "10708": "", "10709": "", "10710": "", "10711": "---", "10712": "", "10713": "", "10714": "", "10715": "", "10716": "---", "10717": "---", "10718": "你感觉怎么样", "10719": "你感觉怎么样", "10720": "你感觉怎么样", "10721": "你感觉怎么样", "10722": "你感觉怎么样", "10723": "你感觉怎么样", "10724": "", "10725": "", "10726": "", "10727": "", "10728": "", "10729": "好漂亮 好可爱", "10730": "好漂亮 好可爱", "10731": "好漂亮 好可爱", "10732": "好漂亮 好可爱", "10733": "好漂亮 好可爱", "10734": "好漂亮 好可爱", "10735": "", "10736": "", "10737": "", "10738": "", "10739": "---", "10740": "", "10741": "", "10742": "", "10743": "---", "10744": "", "10745": "", "10746": "", "10747": "", "10748": "", "10749": "---", "10750": "", "10751": "", "10752": "", "10753": "", "10754": "", "10755": "---", "10756": "", "10757": "", "10758": "", "10759": "", "10760": "", "10761": "", "10762": "", "10763": "真啰嗦", "10764": "真啰嗦", "10765": "真啰嗦", "10766": "真啰嗦", "10767": "---", "10768": "", "10769": "---", "10770": "---", "10771": "", "10772": "---", "10773": "---", "10774": "---", "10775": "", "10776": "", "10777": "", "10778": "", "10779": "", "10780": "", "10781": "", "10782": "", "10783": "", "10784": "你不安静的话 是不会让你舒服的", "10785": "你不安静的话 是不会让你舒服的", "10786": "你不安静的话 是不会让你舒服的", "10787": "你不安静的话 是不会让你舒服的", "10788": "你不安静的话 是不会让你舒服的", "10789": "你不安静的话 是不会让你舒服的", "10790": "", "10791": "", "10792": "", "10793": "", "10794": "", "10795": "", "10796": "想继续做下去吗", "10797": "想继续做下去吗", "10798": "想继续做下去吗", "10799": "想继续做下去吗", "10800": "想继续做下去吗", "10801": "想继续做下去吗", "10802": "", "10803": "---", "10804": "", "10805": "", "10806": "", "10807": "", "10808": "", "10809": "", "10810": "", "10811": "", "10812": "---", "10813": "", "10814": "", "10815": "", "10816": "", "10817": "------------", "10818": "", "10819": "", "10820": "---------------", "10821": "------------", "10822": "", "10823": "------", "10824": "", "10825": "", "10826": "", "10827": "", "10828": "", "10829": "", "10830": "---", "10831": "", "10832": "---", "10833": "", "10834": "", "10835": "我会负起责任来教育你的", "10836": "我会负起责任来教育你的", "10837": "我会负起责任来教育你的", "10838": "我会负起责任来教育你的", "10839": "我会负起责任来教育你的", "10840": "我会负起责任来教育你的", "10841": "我会负起责任来教育你的", "10842": "没事的", "10843": "没事的", "10844": "没事的", "10845": "没事的", "10846": "", "10847": "", "10848": "", "10849": "", "10850": "", "10851": "", "10852": "", "10853": "", "10854": "---", "10855": "---", "10856": "", "10857": "---", "10858": "", "10859": "---", "10860": "---", "10861": "---", "10862": "---", "10863": "", "10864": "", "10865": "", "10866": "---", "10867": "", "10868": "---", "10869": "", "10870": "", "10871": "", "10872": "", "10873": "", "10874": "", "10875": "", "10876": "", "10877": "", "10878": "", "10879": "", "10880": "", "10881": "", "10882": "", "10883": "", "10884": "", "10885": "", "10886": "", "10887": "", "10888": "", "10889": "", "10890": "", "10891": "", "10892": "", "10893": "", "10894": "", "10895": "", "10896": "", "10897": "", "10898": "", "10899": "", "10900": "", "10901": "", "10902": "", "10903": "", "10904": "", "10905": "", "10906": "", "10907": "", "10908": "", "10909": "", "10910": "", "10911": "", "10912": "", "10913": "", "10914": "", "10915": "", "10916": "", "10917": "", "10918": "", "10919": "", "10920": "", "10921": "", "10922": "", "10923": "", "10924": "", "10925": "", "10926": "", "10927": "", "10928": "", "10929": "", "10930": "", "10931": "", "10932": "", "10933": "", "10934": "", "10935": "", "10936": "", "10937": "", "10938": "住手 不要", "10939": "住手 不要", "10940": "住手 不要", "10941": "住手 不要", "10942": "住手 不要", "10943": "住手 不要", "10944": "住手 不要", "10945": "", "10946": "", "10947": "", "10948": "---------------", "10949": "", "10950": "", "10951": "background", "10952": "", "10953": "", "10954": "", "10955": "", "10956": "", "10957": "你看北冈小姐都摆出 那么羞耻的姿势了", "10958": "你看北冈小姐都摆出 那么羞耻的姿势了", "10959": "你看北冈小姐都摆出 那么羞耻的姿势了", "10960": "你看北冈小姐都摆出 那么羞耻的姿势了", "10961": "你看北冈小姐都摆出 那么羞耻的姿势了", "10962": "你看北冈小姐都摆出 那么羞耻的姿势了", "10963": "你看北冈小姐都摆出 那么羞耻的姿势了", "10964": "你看北冈小姐都摆出 那么羞耻的姿势了", "10965": "你看北冈小姐都摆出 那么羞耻的姿势了", "10966": "你看北冈小姐都摆出 那么羞耻的姿势了", "10967": "", "10968": "", "10969": "", "10970": "", "10971": "", "10972": "", "10973": "------------------", "10974": "因为你们会变成同样的姿势嘛", "10975": "因为你们会变成同样的姿势嘛", "10976": "因为你们会变成同样的姿势嘛", "10977": "因为你们会变成同样的姿势嘛", "10978": "因为你们会变成同样的姿势嘛", "10979": "因为你们会变成同样的姿势嘛", "10980": "", "10981": "", "10982": "", "10983": "", "10984": "", "10985": "", "10986": "", "10987": "", "10988": "", "10989": "", "10990": "", "10991": "", "10992": "", "10993": "", "10994": "保持这个姿势", "10995": "保持这个姿势", "10996": "保持这个姿势", "10997": "保持这个姿势", "10998": "", "10999": "", "11000": "", "11001": "", "11002": "", "11003": "吵死了", "11004": "吵死了", "11005": "吵死了", "11006": "吵死了", "11007": "吵死了", "11008": "", "11009": "", "11010": "", "11011": "", "11012": "", "11013": "", "11014": "", "11015": "", "11016": "", "11017": "---", "11018": "---", "11019": "---", "11020": "------------------", "11021": "", "11022": "", "11023": "", "11024": "", "11025": "", "11026": "", "11027": "", "11028": "", "11029": "", "11030": "", "11031": "", "11032": "", "11033": "", "11034": "", "11035": "", "11036": "", "11037": "A", "11038": "", "11039": "", "11040": "", "11041": "", "11042": "", "11043": "", "11044": "", "11045": "", "11046": "", "11047": "", "11048": "", "11049": "", "11050": "", "11051": "", "11052": "", "11053": "", "11054": "", "11055": "", "11056": "", "11057": "", "11058": "", "11059": "", "11060": "", "11061": "", "11062": "", "11063": "", "11064": "", "11065": "", "11066": "", "11067": "真的可以吗", "11068": "真的可以吗", "11069": "真的可以吗", "11070": "真的可以吗", "11071": "真的可以吗", "11072": "", "11073": "", "11074": "", "11075": "", "11076": "", "11077": "", "11078": "", "11079": "好好教育她一番吧", "11080": "好好教育她一番吧", "11081": "好好教育她一番吧", "11082": "好好教育她一番吧", "11083": "好好教育她一番吧", "11084": "好好教育她一番吧", "11085": "好好教育她一番吧", "11086": "", "11087": "", "11088": "---", "11089": "---", "11090": "松井小姐下流的样子 就让我拍下来啦", "11091": "松井小姐下流的样子 就让我拍下来啦", "11092": "松井小姐下流的样子 就让我拍下来啦", "11093": "松井小姐下流的样子 就让我拍下来啦", "11094": "松井小姐下流的样子 就让我拍下来啦", "11095": "松井小姐下流的样子 就让我拍下来啦", "11096": "松井小姐下流的样子 就让我拍下来啦", "11097": "松井小姐下流的样子 就让我拍下来啦", "11098": "松井小姐下流的样子 就让我拍下来啦", "11099": "松井小姐下流的样子 就让我拍下来啦", "11100": "松井小姐下流的样子 就让我拍下来啦", "11101": "松井小姐下流的样子 就让我拍下来啦", "11102": "松井小姐下流的样子 就让我拍下来啦", "11103": "", "11104": "", "11105": "", "11106": "", "11107": "", "11108": "", "11109": "这只是记录而已", "11110": "这只是记录而已", "11111": "这只是记录而已", "11112": "这只是记录而已", "11113": "这只是记录而已", "11114": "", "11115": "", "11116": "", "11117": "", "11118": "", "11119": "", "11120": "", "11121": "", "11122": "", "11123": "", "11124": "", "11125": "", "11126": "", "11127": "", "11128": "", "11129": "", "11130": "", "11131": "", "11132": "", "11133": "不放松点的话", "11134": "不放松点的话", "11135": "不放松点的话", "11136": "不放松点的话", "11137": "不放松点的话", "11138": "不放松点的话", "11139": "不放松点的话", "11140": "", "11141": "", "11142": "", "11143": "", "11144": "", "11145": "", "11146": "", "11147": "", "11148": "", "11149": "", "11150": "", "11151": "", "11152": "", "11153": "", "11154": "", "11155": "", "11156": "", "11157": "", "11158": "", "11159": "小穴好紧啊 要插进小穴了", "11160": "小穴好紧啊 要插进小穴了", "11161": "小穴好紧啊 要插进小穴了", "11162": "小穴好紧啊 要插进小穴了", "11163": "小穴好紧啊 要插进小穴了", "11164": "小穴好紧啊 要插进小穴了", "11165": "小穴好紧啊 要插进小穴了", "11166": "我这边也很紧呢 松井小姐", "11167": "我这边也很紧呢 松井小姐", "11168": "我这边也很紧呢 松井小姐", "11169": "我这边也很紧呢 松井小姐", "11170": "我这边也很紧呢 松井小姐", "11171": "我这边也很紧呢 松井小姐", "11172": "我这边也很紧呢 松井小姐", "11173": "我这边也很紧呢 松井小姐", "11174": "我这边也很紧呢 松井小姐", "11175": "我这边也很紧呢 松井小姐", "11176": "", "11177": "", "11178": "", "11179": "", "11180": "", "11181": "HTML", "11182": "", "11183": "", "11184": "", "11185": "", "11186": "------", "11187": "---", "11188": "", "11189": "下面这么湿 很舒服吗", "11190": "下面这么湿 很舒服吗", "11191": "下面这么湿 很舒服吗", "11192": "下面这么湿 很舒服吗", "11193": "下面这么湿 很舒服吗", "11194": "下面这么湿 很舒服吗", "11195": "下面这么湿 很舒服吗", "11196": "", "11197": "", "11198": "", "11199": "", "11200": "舒服吗", "11201": "舒服吗", "11202": "舒服吗", "11203": "舒服吗", "11204": "舒服吗", "11205": "---------------", "11206": "快一点就好了", "11207": "快一点就好了", "11208": "快一点就好了", "11209": "快一点就好了", "11210": "快一点就好了", "11211": "---", "11212": "------", "11213": "---", "11214": "---------------", "11215": "---", "11216": "------", "11217": "---", "11218": "", "11219": "", "11220": "HTML", "11221": "------", "11222": "---", "11223": "---", "11224": "---", "11225": "---", "11226": "---", "11227": "------", "11228": "", "11229": "---", "11230": "---", "11231": "---", "11232": "---", "11233": "---", "11234": "---", "11235": "---", "11236": "---", "11237": "---", "11238": "---", "11239": "---", "11240": "---", "11241": "---", "11242": "HTML", "11243": "", "11244": "", "11245": "", "11246": "", "11247": "---", "11248": "---", "11249": "", "11250": "---", "11251": "", "11252": "Markdown: ", "11253": "", "11254": "", "11255": "------------------", "11256": "", "11257": "---------------", "11258": "---", "11259": "------------------", "11260": "---", "11261": "---", "11262": "HTML", "11263": "", "11264": "", "11265": "", "11266": "---", "11267": "---", "11268": "---", "11269": "", "11270": "", "11271": "", "11272": "", "11273": "", "11274": "", "11275": "---", "11276": "", "11277": "", "11278": "------", "11279": "", "11280": "", "11281": "---", "11282": "", "11283": "", "11284": "---", "11285": "", "11286": "", "11287": "", "11288": "", "11289": "", "11290": "", "11291": "", "11292": "", "11293": "", "11294": "", "11295": "", "11296": "", "11297": "---", "11298": "", "11299": "", "11300": "", "11301": "", "11302": "", "11303": "好淫荡的味道啊", "11304": "好淫荡的味道啊", "11305": "好淫荡的味道啊", "11306": "好淫荡的味道啊", "11307": "好淫荡的味道啊", "11308": "", "11309": "", "11310": "", "11311": "", "11312": "", "11313": "", "11314": "---", "11315": "---", "11316": "------", "11317": "---", "11318": "------", "11319": "------", "11320": "---", "11321": "---", "11322": "---", "11323": "---------------", "11324": "---------------", "11325": "------", "11326": "---", "11327": "---", "11328": "---", "11329": "------------------", "11330": "---", "11331": "---", "11332": "", "11333": "------", "11334": "---", "11335": "---", "11336": "---", "11337": "---", "11338": "------", "11339": "怎么样", "11340": "怎么样", "11341": "怎么样", "11342": "怎么样", "11343": "------", "11344": "---", "11345": "", "11346": "", "11347": "---", "11348": "", "11349": "", "11350": "", "11351": "", "11352": "", "11353": "", "11354": "", "11355": "", "11356": "", "11357": "", "11358": "", "11359": "", "11360": "", "11361": "", "11362": "", "11363": "", "11364": "", "11365": "", "11366": "", "11367": "", "11368": "", "11369": "", "11370": "", "11371": "", "11372": "", "11373": "", "11374": "", "11375": "", "11376": "", "11377": "", "11378": "", "11379": "", "11380": "", "11381": "", "11382": "", "11383": "---------------", "11384": "", "11385": "------------", "11386": "", "11387": "------", "11388": "------", "11389": "------", "11390": "", "11391": "", "11392": "", "11393": "---", "11394": "---", "11395": "---", "11396": "---", "11397": "", "11398": "", "11399": "", "11400": "------", "11401": "", "11402": "", "11403": "---", "11404": "", "11405": "", "11406": "---", "11407": "------", "11408": "", "11409": "", "11410": "", "11411": "", "11412": "", "11413": "", "11414": "", "11415": "", "11416": "", "11417": "", "11418": "", "11419": "", "11420": "", "11421": "", "11422": "手指这么简单就进去了", "11423": "手指这么简单就进去了", "11424": "手指这么简单就进去了", "11425": "手指这么简单就进去了", "11426": "手指这么简单就进去了", "11427": "手指这么简单就进去了", "11428": "", "11429": "---", "11430": "", "11431": "", "11432": "", "11433": "", "11434": "", "11435": "---", "11436": "---", "11437": "", "11438": "------------", "11439": "---------------", "11440": "---------------", "11441": "------------------", "11442": "------------------", "11443": "------------", "11444": "插进小穴这么深", "11445": "插进小穴这么深", "11446": "插进小穴这么深", "11447": "插进小穴这么深", "11448": "插进小穴这么深", "11449": "插进小穴这么深", "11450": "---", "11451": "------------------", "11452": "------------------", "11453": "---", "11454": "", "11455": "", "11456": "------------------", "11457": "", "11458": "------", "11459": "", "11460": "", "11461": "------", "11462": "", "11463": "", "11464": "", "11465": "", "11466": "---", "11467": "---", "11468": "------------", "11469": "------", "11470": "---", "11471": "------------", "11472": "---------------", "11473": "", "11474": "---", "11475": "", "11476": "", "11477": "", "11478": "", "11479": "---", "11480": "", "11481": "", "11482": "---", "11483": "", "11484": "", "11485": "", "11486": "", "11487": "", "11488": "", "11489": "", "11490": "", "11491": "---", "11492": "", "11493": "", "11494": "", "11495": "", "11496": "---", "11497": "", "11498": "", "11499": "---", "11500": "", "11501": "", "11502": "", "11503": "", "11504": "", "11505": "", "11506": "", "11507": "", "11508": "---", "11509": "---", "11510": "给我看看你舒服的表情", "11511": "给我看看你舒服的表情", "11512": "给我看看你舒服的表情", "11513": "给我看看你舒服的表情", "11514": "给我看看你舒服的表情", "11515": "给我看看你舒服的表情", "11516": "给我看看你舒服的表情", "11517": "---", "11518": "", "11519": "---", "11520": "---", "11521": "", "11522": "", "11523": "---", "11524": "", "11525": "", "11526": "---", "11527": "Background", "11528": "", "11529": "", "11530": "", "11531": "", "11532": "", "11533": "", "11534": "", "11535": "", "11536": "", "11537": "", "11538": "", "11539": "", "11540": "", "11541": "", "11542": "", "11543": "", "11544": "", "11545": "", "11546": "", "11547": "", "11548": "", "11549": "", "11550": "", "11551": "", "11552": "", "11553": "", "11554": "", "11555": "", "11556": "", "11557": "---", "11558": "", "11559": "", "11560": "------", "11561": "", "11562": "---", "11563": "", "11564": "", "11565": "", "11566": "", "11567": "", "11568": "", "11569": "", "11570": "", "11571": "", "11572": "", "11573": "", "11574": "---", "11575": "---", "11576": "", "11577": "", "11578": "---", "11579": "", "11580": "", "11581": "", "11582": "", "11583": "", "11584": "", "11585": "", "11586": "", "11587": "果然还是这边吗", "11588": "果然还是这边吗", "11589": "果然还是这边吗", "11590": "果然还是这边吗", "11591": "果然还是这边吗", "11592": "", "11593": "", "11594": "", "11595": "快把手拿开", "11596": "快把手拿开", "11597": "快把手拿开", "11598": "快把手拿开", "11599": "快把手拿开", "11600": "", "11601": "", "11602": "", "11603": "", "11604": "", "11605": "---------------", "11606": "", "11607": "", "11608": "---", "11609": "", "11610": "", "11611": "HTML", "11612": "", "11613": "---", "11614": "", "11615": "", "11616": "", "11617": "---", "11618": "", "11619": "---", "11620": "", "11621": "", "11622": "98堂[色花堂] 永久地址 489155.com", "11623": "98堂[色花堂] 永久地址 489155.com", "11624": "98堂[色花堂] 永久地址 489155.com", "11625": "98堂[色花堂] 永久地址 489155.com", "11626": "98堂[色花堂] 永久地址 489155.com", "11627": "98堂[色花堂]永久地址489155.com", "11628": "---", "11629": "---", "11630": "", "11631": "", "11632": "", "11633": "---", "11634": "", "11635": "", "11636": "", "11637": "", "11638": "", "11639": "", "11640": "", "11641": "", "11642": "", "11643": "", "11644": "", "11645": "---", "11646": "", "11647": "", "11648": "再把腿张开一点", "11649": "再把腿张开一点", "11650": "再把腿张开一点", "11651": "再把腿张开一点", "11652": "再把腿张开一点", "11653": "再把腿张开一点", "11654": "再把腿张开一点", "11655": "", "11656": "", "11657": "---", "11658": "", "11659": "", "11660": "", "11661": "", "11662": "给我看看屁股", "11663": "给我看看屁股", "11664": "给我看看屁股", "11665": "给我看看屁股", "11666": "给我看看屁股", "11667": "给我看看屁股", "11668": "", "11669": "", "11670": "", "11671": "", "11672": "", "11673": "", "11674": "", "11675": "", "11676": "", "11677": "", "11678": "", "11679": "", "11680": "", "11681": "", "11682": "", "11683": "", "11684": "", "11685": "", "11686": "", "11687": "", "11688": "", "11689": "", "11690": "", "11691": "", "11692": "", "11693": "", "11694": "", "11695": "", "11696": "", "11697": "", "11698": "", "11699": "", "11700": "", "11701": "", "11702": "", "11703": "", "11704": "", "11705": "", "11706": "", "11707": "", "11708": "", "11709": "", "11710": "", "11711": "", "11712": "", "11713": "", "11714": "", "11715": "", "11716": "", "11717": "", "11718": "", "11719": "", "11720": "", "11721": "", "11722": "", "11723": "", "11724": "", "11725": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11726": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11727": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11728": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11729": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11730": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11731": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11732": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11733": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11734": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11735": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11736": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11737": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11738": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11739": "我会把松井小姐重要的地方里流出来的汁液全部吸干的", "11740": "", "11741": "", "11742": "", "11743": "", "11744": "", "11745": "", "11746": "------", "11747": "", "11748": "", "11749": "", "11750": "", "11751": "", "11752": "", "11753": "---", "11754": "", "11755": "", "11756": "---", "11757": "---", "11758": "", "11759": "", "11760": "---------------", "11761": "", "11762": "", "11763": "", "11764": "---", "11765": "---", "11766": "", "11767": "", "11768": "---", "11769": "", "11770": "------", "11771": "", "11772": "", "11773": "", "11774": "", "11775": "", "11776": "", "11777": "", "11778": "---", "11779": "不要", "11780": "不要", "11781": "不要", "11782": "不要", "11783": "", "11784": "", "11785": "", "11786": "", "11787": "", "11788": "", "11789": "---", "11790": "", "11791": "", "11792": "", "11793": "", "11794": "", "11795": "", "11796": "---------------", "11797": "------------", "11798": "", "11799": "", "11800": "---", "11801": "---", "11802": "", "11803": "---", "11804": "---", "11805": "---", "11806": "---", "11807": "---", "11808": "---", "11809": "---", "11810": "", "11811": "", "11812": "---", "11813": "", "11814": "", "11815": "", "11816": "", "11817": "---", "11818": "", "11819": "HTML", "11820": "", "11821": "", "11822": "", "11823": "", "11824": "---------------", "11825": "", "11826": "", "11827": "", "11828": "---", "11829": "", "11830": "", "11831": "", "11832": "", "11833": "", "11834": "", "11835": "", "11836": "", "11837": "", "11838": "", "11839": "------", "11840": "---------------", "11841": "---------------", "11842": "", "11843": "---", "11844": "---", "11845": "---------------", "11846": "---", "11847": "", "11848": "------", "11849": "", "11850": "", "11851": "", "11852": "---", "11853": "", "11854": "---", "11855": "", "11856": "---", "11857": "---", "11858": "", "11859": "", "11860": "", "11861": "差不多想要肉棒了吧", "11862": "差不多想要肉棒了吧", "11863": "差不多想要肉棒了吧", "11864": "差不多想要肉棒了吧", "11865": "差不多想要肉棒了吧", "11866": "差不多想要肉棒了吧", "11867": "---", "11868": "---", "11869": "", "11870": "", "11871": "", "11872": "", "11873": "", "11874": "你自己插进小穴吧", "11875": "你自己插进小穴吧", "11876": "你自己插进小穴吧", "11877": "你自己插进小穴吧", "11878": "你自己插进小穴吧", "11879": "", "11880": "", "11881": "", "11882": "", "11883": "", "11884": "", "11885": "", "11886": "", "11887": "", "11888": "", "11889": "", "11890": "床", "11891": "", "11892": "", "11893": "", "11894": "", "11895": "", "11896": "", "11897": "", "11898": "", "11899": "", "11900": "1", "11901": "1", "11902": "床", "11903": "210 康林", "11904": "北岳 顾月", "11905": "实习 黑林", "11906": "医补", "11907": "", "11908": "", "11909": "", "11910": "", "11911": "", "11912": "", "11913": "很好 就是这样 自己动起来", "11914": "很好 就是这样 自己动起来", "11915": "很好 就是这样 自己动起来", "11916": "很好 就是这样 自己动起来", "11917": "很好 就是这样 自己动起来", "11918": "很好 就是这样 自己动起来", "11919": "很好 就是这样 自己动起来", "11920": "很好 就是这样 自己动起来", "11921": "很好 就是这样 自己动起来", "11922": "很好 就是这样 自己动起来", "11923": "很好 就是这样 自己动起来", "11924": "", "11925": "", "11926": "你看腰动起来了", "11927": "你看腰动起来了", "11928": "你看腰动起来了", "11929": "你看腰动起来了", "11930": "你看腰动起来了", "11931": "你看腰动起来了", "11932": "D:0", "11933": "d:q", "11934": "", "11935": "", "11936": "", "11937": "", "11938": "", "11939": "DQ", "11940": "", "11941": "", "11942": "", "11943": "", "11944": "DQDQ", "11945": "", "11946": "", "11947": "", "11948": "DSQ", "11949": "", "11950": "", "11951": "", "11952": "", "11953": "", "11954": "", "11955": "", "11956": "", "11957": "", "11958": "", "11959": "", "11960": "", "11961": "", "11962": "---", "11963": "", "11964": "", "11965": "", "11966": "", "11967": "", "11968": "", "11969": "", "11970": "", "11971": "", "11972": "", "11973": "", "11974": "", "11975": "", "11976": "", "11977": "", "11978": "", "11979": "", "11980": "", "11981": "", "11982": "", "11983": "", "11984": "", "11985": "", "11986": "", "11987": "", "11988": "", "11989": "", "11990": "", "11991": "", "11992": "", "11993": "", "11994": "", "11995": "", "11996": "", "11997": "", "11998": "", "11999": "", "12000": "", "12001": "不要看", "12002": "不要看", "12003": "不要看", "12004": "不要看", "12005": "不要看", "12006": "", "12007": "", "12008": "", "12009": "", "12010": "", "12011": "", "12012": "", "12013": "", "12014": "", "12015": "", "12016": "", "12017": "", "12018": "", "12019": "", "12020": "", "12021": "你高潮了吗", "12022": "你高潮了吗", "12023": "你高潮了吗", "12024": "你高潮了吗", "12025": "你高潮了吗", "12026": "", "12027": "", "12028": "", "12029": "", "12030": "", "12031": "", "12032": "", "12033": "", "12034": "", "12035": "", "12036": "", "12037": "", "12038": "", "12039": "", "12040": "", "12041": "", "12042": "", "12043": "", "12044": "", "12045": "", "12046": "", "12047": "", "12048": "", "12049": "", "12050": "", "12051": "", "12052": "", "12053": "", "12054": "", "12055": "", "12056": "", "12057": "", "12058": "", "12059": "", "12060": "", "12061": "", "12062": "", "12063": "---------------", "12064": "", "12065": "", "12066": "", "12067": "---", "12068": "", "12069": "", "12070": "---", "12071": "", "12072": "", "12073": "", "12074": "", "12075": "", "12076": "---", "12077": "", "12078": "你给我坐起来", "12079": "你给我坐起来", "12080": "你给我坐起来", "12081": "你给我坐起来", "12082": "你给我坐起来", "12083": "", "12084": "", "12085": "", "12086": "", "12087": "", "12088": "", "12089": "", "12090": "松井小姐 这边也 要插进小穴吧", "12091": "松井小姐 这边也 要插进小穴吧", "12092": "松井小姐 这边也 要插进小穴吧", "12093": "松井小姐 这边也 要插进小穴吧", "12094": "松井小姐 这边也 要插进小穴吧", "12095": "松井小姐 这边也 要插进小穴吧", "12096": "松井小姐 这边也 要插进小穴吧", "12097": "松井小姐 这边也 要插进小穴吧", "12098": "松井小姐 这边也 要插进小穴吧", "12099": "松井小姐 这边也 要插进小穴吧", "12100": "4", "12101": "", "12102": "4.0", "12103": "", "12104": "", "12105": "", "12106": "", "12107": "", "12108": "", "12109": "怎么了 不愿意吗", "12110": "怎么了 不愿意吗", "12111": "怎么了 不愿意吗", "12112": "怎么了 不愿意吗", "12113": "怎么了 不愿意吗", "12114": "怎么了 不愿意吗", "12115": "怎么了 不愿意吗", "12116": "怎么了 不愿意吗", "12117": "", "12118": "---", "12119": "", "12120": "偶尔和你这样 表里不一的女人做也不错", "12121": "偶尔和你这样 表里不一的女人做也不错", "12122": "偶尔和你这样 表里不一的女人做也不错", "12123": "偶尔和你这样 表里不一的女人做也不错", "12124": "偶尔和你这样 表里不一的女人做也不错", "12125": "偶尔和你这样 表里不一的女人做也不错", "12126": "偶尔和你这样 表里不一的女人做也不错", "12127": "偶尔和你这样 表里不一的女人做也不错", "12128": "偶尔和你这样 表里不一的女人做也不错", "12129": "偶尔和你这样 表里不一的女人做也不错", "12130": "偶尔和你这样 表里不一的女人做也不错", "12131": "偶尔和你这样 表里不一的女人做也不错", "12132": "偶尔和你这样 表里不一的女人做也不错", "12133": "偶尔和你这样 表里不一的女人做也不错", "12134": "", "12135": "", "12136": "", "12137": "我要强行插进小穴了", "12138": "我要强行插进小穴了", "12139": "我要强行插进小穴了", "12140": "我要强行插进小穴了", "12141": "我要强行插进小穴了", "12142": "我要强行插进小穴了", "12143": "我要强行插进小穴了", "12144": "", "12145": "", "12146": "", "12147": "", "12148": "", "12149": "---", "12150": "", "12151": "", "12152": "---", "12153": "", "12154": "------------", "12155": "---", "12156": "", "12157": "", "12158": "", "12159": "---", "12160": "", "12161": "小穴好紧", "12162": "小穴好紧", "12163": "小穴好紧", "12164": "小穴好紧", "12165": "小穴好紧", "12166": "", "12167": "", "12168": "", "12169": "---", "12170": "", "12171": "", "12172": "", "12173": "", "12174": "要动起来了", "12175": "要动起来了", "12176": "要动起来了", "12177": "要动起来了", "12178": "要动起来了", "12179": "要动起来了", "12180": "要动起来了", "12181": "", "12182": "", "12183": "---", "12184": "", "12185": "", "12186": "", "12187": "---", "12188": "", "12189": "---", "12190": "---", "12191": "松井小姐", "12192": "松井小姐", "12193": "松井小姐", "12194": "松井小姐", "12195": "意外的是被强迫动起来 你感觉还不错呢", "12196": "意外的是被强迫动起来 你感觉还不错呢", "12197": "意外的是被强迫动起来 你感觉还不错呢", "12198": "意外的是被强迫动起来 你感觉还不错呢", "12199": "意外的是被强迫动起来 你感觉还不错呢", "12200": "意外的是被强迫动起来 你感觉还不错呢", "12201": "意外的是被强迫动起来 你感觉还不错呢", "12202": "意外的是被强迫动起来 你感觉还不错呢", "12203": "意外的是被强迫动起来 你感觉还不错呢", "12204": "意外的是被强迫动起来 你感觉还不错呢", "12205": "意外的是被强迫动起来 你感觉还不错呢", "12206": "", "12207": "", "12208": "", "12209": "", "12210": "", "12211": "", "12212": "", "12213": "", "12214": "", "12215": "", "12216": "", "12217": "", "12218": "", "12219": "", "12220": "------", "12221": "--- ---", "12222": "------", "12223": "---------------", "12224": "---", "12225": "---", "12226": "---", "12227": "---", "12228": "------------", "12229": "---", "12230": "---", "12231": "---", "12232": "------", "12233": "------", "12234": "------------------", "12235": "---", "12236": "------", "12237": "---", "12238": "---", "12239": "---", "12240": "你的情况非常好呢", "12241": "你的情况非常好呢", "12242": "你的情况非常好呢", "12243": "你的情况非常好呢", "12244": "你的情况非常好呢", "12245": "你的情况非常好呢", "12246": "你的情况非常好呢", "12247": "---", "12248": "------------------", "12249": "---", "12250": "---", "12251": "------", "12252": "------------------", "12253": "---", "12254": "---", "12255": "", "12256": "", "12257": "---", "12258": "---------------", "12259": "", "12260": "---", "12261": "---", "12262": "", "12263": "", "12264": "---", "12265": "---", "12266": "", "12267": "", "12268": "", "12269": "---", "12270": "", "12271": "---", "12272": "", "12273": "", "12274": "", "12275": "", "12276": "", "12277": "", "12278": "", "12279": "", "12280": "", "12281": "", "12282": "", "12283": "", "12284": "", "12285": "", "12286": "", "12287": "", "12288": "", "12289": "", "12290": "", "12291": "", "12292": "", "12293": "", "12294": "", "12295": "", "12296": "", "12297": "", "12298": "", "12299": "", "12300": "", "12301": "---------------", "12302": "---------------", "12303": "---------------", "12304": "------------------", "12305": "------", "12306": "------", "12307": "", "12308": "---------------", "12309": "---------------", "12310": "", "12311": "", "12312": "", "12313": "---", "12314": "------------------", "12315": "", "12316": "", "12317": "", "12318": "------------------", "12319": "", "12320": "", "12321": "", "12322": "---", "12323": "------------------", "12324": "", "12325": "", "12326": "", "12327": "", "12328": "", "12329": "", "12330": "", "12331": "", "12332": "------", "12333": "------", "12334": "---", "12335": "", "12336": "", "12337": "------", "12338": "", "12339": "", "12340": "", "12341": "", "12342": "", "12343": "", "12344": "", "12345": "---", "12346": "", "12347": "", "12348": "", "12349": "", "12350": "", "12351": "", "12352": "", "12353": "", "12354": "", "12355": "", "12356": "", "12357": "", "12358": "", "12359": "", "12360": "", "12361": "", "12362": "", "12363": "", "12364": "---", "12365": "------------------", "12366": "---", "12367": "---", "12368": "---", "12369": "---", "12370": "---", "12371": "", "12372": "------", "12373": "---", "12374": "---", "12375": "------------------", "12376": "------------", "12377": "我再插深一点吧", "12378": "我再插深一点吧", "12379": "我再插深一点吧", "12380": "我再插深一点吧", "12381": "我再插深一点吧", "12382": "我再插深一点吧", "12383": "我再插深一点吧", "12384": "我再插深一点吧", "12385": "", "12386": "", "12387": "", "12388": "---------------", "12389": "", "12390": "---", "12391": "------------------", "12392": "---------------", "12393": "", "12394": "---", "12395": "---", "12396": "", "12397": "---", "12398": "---", "12399": "---", "12400": "---", "12401": "---", "12402": "---", "12403": "------------------", "12404": "------", "12405": "------------------", "12406": "------", "12407": "---", "12408": "---------------", "12409": "------", "12410": "---------------", "12411": "---------------", "12412": "---------------", "12413": "", "12414": "------", "12415": "------", "12416": "---------------", "12417": "---", "12418": "------", "12419": "------", "12420": "------", "12421": "------------------", "12422": "------------------", "12423": "------------", "12424": "------", "12425": "------------", "12426": "", "12427": "------", "12428": "---------------", "12429": "", "12430": "------------", "12431": "", "12432": "------------------", "12433": "---", "12434": "------------------", "12435": "------", "12436": "--- ---", "12437": "---", "12438": "---", "12439": "---", "12440": "---", "12441": "", "12442": "---", "12443": "------", "12444": "------------------", "12445": "", "12446": "", "12447": "松井小姐", "12448": "松井小姐", "12449": "松井小姐", "12450": "松井小姐", "12451": "松井小姐", "12452": "Background", "12453": "", "12454": "", "12455": "", "12456": "因为你必须能够应对各种各样的情况呢", "12457": "因为你必须能够应对各种各样的情况呢", "12458": "因为你必须能够应对各种各样的情况呢", "12459": "因为你必须能够应对各种各样的情况呢", "12460": "因为你必须能够应对各种各样的情况呢", "12461": "因为你必须能够应对各种各样的情况呢", "12462": "因为你必须能够应对各种各样的情况呢", "12463": "因为你必须能够应对各种各样的情况呢", "12464": "因为你必须能够应对各种各样的情况呢", "12465": "因为你必须能够应对各种各样的情况呢", "12466": "因为你必须能够应对各种各样的情况呢", "12467": "因为你必须能够应对各种各样的情况呢", "12468": "因为你必须能够应对各种各样的情况呢", "12469": "", "12470": "", "12471": "不要 不可以", "12472": "不要 不可以", "12473": "不要 不可以", "12474": "泷本 这次换你来这边做吧", "12475": "泷本 这次换你来这边做吧", "12476": "泷本 这次换你来这边做吧", "12477": "泷本 这次换你来这边做吧", "12478": "泷本 这次换你来这边做吧", "12479": "泷本 这次换你来这边做吧", "12480": "泷本 这次换你来这边做吧", "12481": "泷本 这次换你来这边做吧", "12482": "泷本 这次换你来这边做吧", "12483": "泷本 这次换你来这边做吧", "12484": "泷本 这次换你来这边做吧", "12485": "", "12486": "不要 不可以过来 不要", "12487": "不要 不可以过来 不要", "12488": "不要 不可以过来 不要", "12489": "不要 不可以过来 不要", "12490": "不要 不可以过来 不要", "12491": "不要 不可以过来 不要", "12492": "不要 不可以过来 不要", "12493": "不要 不可以过来 不要", "12494": "不要 不可以过来 不要", "12495": "不要 不可以过来 不要", "12496": "", "12497": "", "12498": "", "12499": "", "12500": "", "12501": "", "12502": "", "12503": "", "12504": "", "12505": "", "12506": "", "12507": "", "12508": "那么 会是怎样的呢", "12509": "那么 会是怎样的呢", "12510": "那么 会是怎样的呢", "12511": "那么 会是怎样的呢", "12512": "那么 会是怎样的呢", "12513": "那么 会是怎样的呢", "12514": "", "12515": "", "12516": "", "12517": "", "12518": "", "12519": "把腿张开点", "12520": "把腿张开点", "12521": "把腿张开点", "12522": "把腿张开点", "12523": "泷本君 好久不见啦", "12524": "泷本君 好久不见啦", "12525": "泷本君 好久不见啦", "12526": "泷本君 好久不见啦", "12527": "泷本君 好久不见啦", "12528": "泷本君 好久不见啦", "12529": "", "12530": "", "12531": "", "12532": "", "12533": "", "12534": "", "12535": "---", "12536": "", "12537": "---", "12538": "---", "12539": "看吧 不错吧", "12540": "看吧 不错吧", "12541": "看吧 不错吧", "12542": "看吧 不错吧", "12543": "看吧 不错吧", "12544": "看吧 不错吧", "12545": "", "12546": "", "12547": "", "12548": "我也要插进小穴了 不要", "12549": "我也要插进小穴了 不要", "12550": "我也要插进小穴了 不要", "12551": "我也要插进小穴了 不要", "12552": "我也要插进小穴了 不要", "12553": "我也要插进小穴了 不要", "12554": "我也要插进小穴了 不要", "12555": "", "12556": "", "12557": "", "12558": "", "12559": "", "12560": "---", "12561": "", "12562": "---", "12563": "---------------", "12564": "", "12565": "", "12566": "小穴好紧 小穴好紧", "12567": "小穴好紧 小穴好紧", "12568": "小穴好紧 小穴好紧", "12569": "小穴好紧 小穴好紧", "12570": "---", "12571": "", "12572": "", "12573": "---", "12574": "---", "12575": "", "12576": "", "12577": "", "12578": "", "12579": "", "12580": "---", "12581": "---", "12582": "---", "12583": "---", "12584": "---", "12585": "---", "12586": "---", "12587": "---", "12588": "", "12589": "---", "12590": "---", "12591": "", "12592": "---", "12593": "", "12594": "", "12595": "---", "12596": "", "12597": "你还没习惯吗", "12598": "你还没习惯吗", "12599": "你还没习惯吗", "12600": "你还没习惯吗", "12601": "你还没习惯吗", "12602": "你还没习惯吗", "12603": "", "12604": "", "12605": "---", "12606": "太棒了", "12607": "太棒了", "12608": "太棒了", "12609": "太棒了", "12610": "太棒了", "12611": "---", "12612": "---", "12613": "", "12614": "---", "12615": "", "12616": "---------------", "12617": "---------------", "12618": "", "12619": "------", "12620": "---", "12621": "------", "12622": "------------------", "12623": "", "12624": "", "12625": "", "12626": "", "12627": "", "12628": "", "12629": "", "12630": "", "12631": "", "12632": "", "12633": "", "12634": "", "12635": "", "12636": "", "12637": "", "12638": "这表情也不错", "12639": "这表情也不错", "12640": "这表情也不错", "12641": "这表情也不错", "12642": "这表情也不错", "12643": "", "12644": "", "12645": "---", "12646": "", "12647": "", "12648": "", "12649": "", "12650": "", "12651": "---------------", "12652": "", "12653": "---", "12654": "", "12655": "", "12656": "", "12657": "", "12658": "", "12659": "", "12660": "", "12661": "", "12662": "", "12663": "", "12664": "", "12665": "", "12666": "", "12667": "", "12668": "", "12669": "", "12670": "", "12671": "", "12672": "", "12673": "", "12674": "我就让你听听抽插的声音吧", "12675": "我就让你听听抽插的声音吧", "12676": "我就让你听听抽插的声音吧", "12677": "我就让你听听抽插的声音吧", "12678": "我就让你听听抽插的声音吧", "12679": "我就让你听听抽插的声音吧", "12680": "我就让你听听抽插的声音吧", "12681": "我就让你听听抽插的声音吧", "12682": "", "12683": "", "12684": "", "12685": "", "12686": "", "12687": "", "12688": "", "12689": "", "12690": "", "12691": "", "12692": "", "12693": "", "12694": "", "12695": "background", "12696": "", "12697": "", "12698": "", "12699": "", "12700": "", "12701": "------------------", "12702": "", "12703": "---", "12704": "", "12705": "------", "12706": "", "12707": "", "12708": "---------------", "12709": "------------------", "12710": "---", "12711": "------", "12712": "------------------", "12713": "", "12714": "---------------", "12715": "", "12716": "", "12717": "", "12718": "", "12719": "", "12720": "", "12721": "", "12722": "", "12723": "", "12724": "", "12725": "", "12726": "", "12727": "", "12728": "", "12729": "", "12730": "", "12731": "", "12732": "", "12733": "", "12734": "", "12735": "", "12736": "", "12737": "background", "12738": "", "12739": "", "12740": "", "12741": "", "12742": "", "12743": "", "12744": "", "12745": "", "12746": "", "12747": "Background", "12748": "", "12749": "", "12750": "", "12751": "------", "12752": "", "12753": "", "12754": "泷本 那边的情况怎么样", "12755": "泷本 那边的情况怎么样", "12756": "泷本 那边的情况怎么样", "12757": "泷本 那边的情况怎么样", "12758": "泷本那边的情况怎么样", "12759": "泷本 那边的情况怎么样", "12760": "泷本那边的情况怎么样", "12761": "------", "12762": "------", "12763": "", "12764": "", "12765": "", "12766": "这样子会让我很兴奋", "12767": "这样子会让我很兴奋", "12768": "这样子会让我很兴奋", "12769": "这样子会让我很兴奋", "12770": "这样子会让我很兴奋", "12771": "这样子会让我很兴奋", "12772": "这样子会让我很兴奋", "12773": "", "12774": "---", "12775": "", "12776": "", "12777": "你看着我的眼睛 加油哦", "12778": "你看着我的眼睛 加油哦", "12779": "你看着我的眼睛 加油哦", "12780": "你看着我的眼睛 加油哦", "12781": "你看着我的眼睛 加油哦", "12782": "你看着我的眼睛 加油哦", "12783": "你看着我的眼睛 加油哦", "12784": "你看着我的眼睛 加油哦", "12785": "你看着我的眼睛 加油哦", "12786": "你看着我的眼睛 加油哦", "12787": "你看着我的眼睛 加油哦", "12788": "你看着我的眼睛 加油哦", "12789": "", "12790": "", "12791": "", "12792": "", "12793": "", "12794": "", "12795": "", "12796": "", "12797": "", "12798": "", "12799": "", "12800": "", "12801": "", "12802": "", "12803": "", "12804": "", "12805": "", "12806": "", "12807": "", "12808": "", "12809": "", "12810": "", "12811": "", "12812": "", "12813": "", "12814": "", "12815": "", "12816": "", "12817": "身体趴起来", "12818": "身体趴起来", "12819": "身体趴起来", "12820": "身体趴起来", "12821": "---", "12822": "", "12823": "------------------", "12824": "---------------", "12825": "", "12826": "", "12827": "", "12828": "", "12829": "", "12830": "", "12831": "", "12832": "", "12833": "", "12834": "---", "12835": "", "12836": "", "12837": "", "12838": "", "12839": "", "12840": "", "12841": "", "12842": "", "12843": "", "12844": "", "12845": "", "12846": "", "12847": "", "12848": "", "12849": "", "12850": "", "12851": "", "12852": "把头抬起来 好好看着松井小姐", "12853": "把头抬起来 好好看着松井小姐", "12854": "把头抬起来 好好看着松井小姐", "12855": "把头抬起来 好好看着松井小姐", "12856": "把头抬起来 好好看着松井小姐", "12857": "把头抬起来 好好看着松井小姐", "12858": "把头抬起来 好好看着松井小姐", "12859": "把头抬起来 好好看着松井小姐", "12860": "", "12861": "", "12862": "", "12863": "", "12864": "", "12865": "松井小姐", "12866": "松井小姐", "12867": "松井小姐", "12868": "松井小姐", "12869": "松井小姐", "12870": "", "12871": "", "12872": "不要", "12873": "不要", "12874": "不要", "12875": "不要", "12876": "", "12877": "", "12878": "", "12879": "再让你听听抽插的声音吧", "12880": "再让你听听抽插的声音吧", "12881": "再让你听听抽插的声音吧", "12882": "再让你听听抽插的声音吧", "12883": "再让你听听抽插的声音吧", "12884": "再让你听听抽插的声音吧", "12885": "再让你听听抽插的声音吧", "12886": "", "12887": "", "12888": "", "12889": "", "12890": "", "12891": "", "12892": "", "12893": "", "12894": "", "12895": "", "12896": "------", "12897": "", "12898": "---", "12899": "---", "12900": "", "12901": "---", "12902": "", "12903": "", "12904": "", "12905": "", "12906": "", "12907": "", "12908": "", "12909": "---", "12910": "", "12911": "---", "12912": "---", "12913": "", "12914": "", "12915": "", "12916": "", "12917": "", "12918": "", "12919": "", "12920": "", "12921": "", "12922": "", "12923": "", "12924": "", "12925": "", "12926": "", "12927": "", "12928": "", "12929": "", "12930": "---", "12931": "", "12932": "---", "12933": "", "12934": "", "12935": "", "12936": "把手给我吧", "12937": "把手给我吧", "12938": "把手给我吧", "12939": "把手给我吧", "12940": "把手给我吧", "12941": "把手给我吧", "12942": "", "12943": "", "12944": "", "12945": "", "12946": "", "12947": "", "12948": "", "12949": "", "12950": "", "12951": "你看那边", "12952": "你看那边", "12953": "你看那边", "12954": "你看那边", "12955": "你看那边", "12956": "你看那边", "12957": "", "12958": "", "12959": "还是想近距离看吗", "12960": "还是想近距离看吗", "12961": "还是想近距离看吗", "12962": "还是想近距离看吗", "12963": "还是想近距离看吗", "12964": "", "12965": "", "12966": "", "12967": "", "12968": "", "12969": "", "12970": "", "12971": "", "12972": "", "12973": "", "12974": "要不要近距离看看", "12975": "要不要近距离看看", "12976": "要不要近距离看看", "12977": "要不要近距离看看", "12978": "要不要近距离看看", "12979": "", "12980": "", "12981": "", "12982": "", "12983": "", "12984": "", "12985": "", "12986": "", "12987": "", "12988": "", "12989": "", "12990": "", "12991": "", "12992": "", "12993": "", "12994": "", "12995": "跟前辈关系很好呢 互相看着对方", "12996": "跟前辈关系很好呢 互相看着对方", "12997": "跟前辈关系很好呢 互相看着对方", "12998": "跟前辈关系很好呢 互相看着对方", "12999": "跟前辈关系很好呢 互相看着对方", "13000": "跟前辈关系很好呢 互相看着对方", "13001": "跟前辈关系很好呢 互相看着对方", "13002": "跟前辈关系很好呢 互相看着对方", "13003": "跟前辈关系很好呢 互相看着对方", "13004": "跟前辈关系很好呢 互相看着对方", "13005": "", "13006": "", "13007": "", "13008": "", "13009": "", "13010": "", "13011": "", "13012": "", "13013": "", "13014": "---", "13015": "", "13016": "", "13017": "", "13018": "", "13019": "", "13020": "", "13021": "", "13022": "", "13023": "", "13024": "", "13025": "", "13026": "", "13027": "", "13028": "", "13029": "", "13030": "", "13031": "", "13032": "", "13033": "", "13034": "", "13035": "", "13036": "", "13037": "", "13038": "", "13039": "你要看着北冈小姐的脸 你们俩相互看看嘛", "13040": "你要看着北冈小姐的脸你们俩相互看看嘛", "13041": "你要看着北冈小姐的脸 你们俩相互看看嘛", "13042": "你要看着北冈小姐的脸 你们俩相互看看嘛", "13043": "你要看着北冈小姐的脸 你们俩相互看看嘛", "13044": "你要看着北冈小姐的脸 你们俩相互看看嘛", "13045": "你要看着北冈小姐的脸你们俩相互看看嘛", "13046": "你要看着北冈小姐的脸 你们俩相互看看嘛", "13047": "你要看着北冈小姐的脸 你们俩相互看看嘛", "13048": "你要看着北冈小姐的脸你们俩相互看看嘛", "13049": "", "13050": "多多关照前辈后辈", "13051": "多多关照前辈后辈", "13052": "多多关照前辈后辈", "13053": "多多关照前辈后辈", "13054": "多多关照前辈后辈", "13055": "你们都很舒服吧", "13056": "你们都很舒服吧", "13057": "你们都很舒服吧", "13058": "你们都很舒服吧", "13059": "你们都很舒服吧", "13060": "你们都很舒服吧", "13061": "", "13062": "", "13063": "", "13064": "", "13065": "", "13066": "", "13067": "", "13068": "", "13069": "", "13070": "", "13071": "", "13072": "", "13073": "---", "13074": "", "13075": "", "13076": "", "13077": "", "13078": "", "13079": "", "13080": "", "13081": "", "13082": "", "13083": "", "13084": "", "13085": "", "13086": "", "13087": "", "13088": "", "13089": "", "13090": "", "13091": "", "13092": "", "13093": "", "13094": "", "13095": "", "13096": "", "13097": "", "13098": "", "13099": "", "13100": "", "13101": "", "13102": "", "13103": "", "13104": "", "13105": "", "13106": "", "13107": "", "13108": "", "13109": "", "13110": "", "13111": "", "13112": "x", "13113": "", "13114": "", "13115": "", "13116": "", "13117": "", "13118": "", "13119": "", "13120": "", "13121": "", "13122": "", "13123": "", "13124": "---", "13125": "", "13126": "", "13127": "", "13128": "", "13129": "松井小姐 怎么样", "13130": "松井小姐 怎么样", "13131": "松井小姐 怎么样", "13132": "松井小姐 怎么样", "13133": "松井小姐 怎么样", "13134": "松井小姐 怎么样", "13135": "特殊业务讲座还行吧", "13136": "特殊业务讲座还行吧", "13137": "特殊业务讲座还行吧", "13138": "特殊业务讲座还行吧", "13139": "特殊业务讲座还行吧", "13140": "特殊业务讲座还行吧", "13141": "特殊业务讲座还行吧", "13142": "特殊业务讲座还行吧", "13143": "", "13144": "", "13145": "", "13146": "", "13147": "", "13148": "北冈小姐也是 把你的优点教给她吧", "13149": "北冈小姐也是 把你的优点教给她吧", "13150": "北冈小姐也是 把你的优点教给她吧", "13151": "北冈小姐也是 把你的优点教给她吧", "13152": "北冈小姐也是 把你的优点教给她吧", "13153": "北冈小姐也是把你的优点教给她吧", "13154": "看来你们俩挺合得来的", "13155": "看来你们俩挺合得来的", "13156": "看来你们俩挺合得来的", "13157": "看来你们俩挺合得来的", "13158": "看来你们俩挺合得来的", "13159": "看来你们俩挺合得来的", "13160": "", "13161": "", "13162": "", "13163": "", "13164": "那么 前辈后辈就友好地站在一起吧", "13165": "那么 前辈后辈就友好地站在一起吧", "13166": "那么 前辈后辈就友好地站在一起吧", "13167": "那么 前辈后辈就友好地站在一起吧", "13168": "那么 前辈后辈就友好地站在一起吧", "13169": "那么 前辈后辈就友好地站在一起吧", "13170": "那么 前辈后辈就友好地站在一起吧", "13171": "那么 前辈后辈就友好地站在一起吧", "13172": "那么 前辈后辈就友好地站在一起吧", "13173": "那么 前辈后辈就友好地站在一起吧", "13174": "那么 前辈后辈就友好地站在一起吧", "13175": "那么 前辈后辈就友好地站在一起吧", "13176": "", "13177": "", "13178": "北冈小姐", "13179": "北冈小姐", "13180": "北冈小姐", "13181": "北冈小姐", "13182": "在松井小姐旁边摆出一样的姿势", "13183": "在松井小姐旁边 摆出一样的姿势", "13184": "在松井小姐旁边摆出一样的姿势", "13185": "在松井小姐旁边 摆出一样的姿势", "13186": "在松井小姐旁边摆出一样的姿势", "13187": "在松井小姐旁边摆出一样的姿势", "13188": "在松井小姐旁边摆出一样的姿势", "13189": "在松井小姐旁边 摆出一样的姿势", "13190": "", "13191": "", "13192": "", "13193": "", "13194": "", "13195": "", "13196": "要好好相处", "13197": "要好好相处", "13198": "要好好相处", "13199": "要好好相处", "13200": "", "13201": "", "13202": "", "13203": "", "13204": "", "13205": "", "13206": "", "13207": "", "13208": "", "13209": "", "13210": "", "13211": "", "13212": "", "13213": "", "13214": "", "13215": "", "13216": "", "13217": "", "13218": "", "13219": "", "13220": "", "13221": "", "13222": "", "13223": "", "13224": "background", "13225": "", "13226": "", "13227": "", "13228": "", "13229": "", "13230": "", "13231": "", "13232": "", "13233": "", "13234": "", "13235": "", "13236": "", "13237": "", "13238": "", "13239": "", "13240": "", "13241": "", "13242": "", "13243": "", "13244": "", "13245": "", "13246": "", "13247": "真是舒服", "13248": "真是舒服", "13249": "真是舒服", "13250": "真是舒服", "13251": "真是舒服", "13252": "", "13253": "", "13254": "", "13255": "", "13256": "---", "13257": "", "13258": "---", "13259": "---", "13260": "---------------", "13261": "", "13262": "", "13263": "", "13264": "", "13265": "", "13266": "", "13267": "", "13268": "", "13269": "", "13270": "", "13271": "", "13272": "", "13273": "", "13274": "", "13275": "", "13276": "", "13277": "", "13278": "", "13279": "", "13280": "", "13281": "", "13282": "", "13283": "你们俩手牵着手吧", "13284": "你们俩手牵着手吧", "13285": "你们俩手牵着手吧", "13286": "你们俩手牵着手吧", "13287": "你们俩手牵着手吧", "13288": "", "13289": "", "13290": "", "13291": "", "13292": "", "13293": "", "13294": "", "13295": "", "13296": "", "13297": "", "13298": "DSQ", "13299": "", "13300": "", "13301": "", "13302": "", "13303": "", "13304": "", "13305": "", "13306": "", "13307": "", "13308": "", "13309": "", "13310": "", "13311": "---", "13312": "", "13313": "", "13314": "", "13315": "", "13316": "HTML", "13317": "", "13318": "", "13319": "", "13320": "", "13321": "", "13322": "", "13323": "", "13324": "", "13325": "", "13326": "", "13327": "", "13328": "", "13329": "", "13330": "", "13331": "", "13332": "", "13333": "", "13334": "", "13335": "", "13336": "", "13337": "", "13338": "", "13339": "", "13340": "好舒服", "13341": "好舒服", "13342": "好舒服", "13343": "好舒服", "13344": "", "13345": "", "13346": "", "13347": "", "13348": "", "13349": "", "13350": "", "13351": "", "13352": "", "13353": "", "13354": "", "13355": "", "13356": "", "13357": "已经忍不住了", "13358": "已经忍不住了", "13359": "已经忍不住了", "13360": "已经忍不住了", "13361": "已经忍不住了", "13362": "", "13363": "", "13364": "", "13365": "", "13366": "", "13367": "", "13368": "", "13369": "", "13370": "", "13371": "感觉要射了 就在里面射吧", "13372": "感觉要射了 就在里面射吧", "13373": "感觉要射了 就在里面射吧", "13374": "感觉要射了 就在里面射吧", "13375": "感觉要射了 就在里面射吧", "13376": "感觉要射了就在里面射吧", "13377": "感觉要射了 就在里面射吧", "13378": "感觉要射了 就在里面射吧", "13379": "感觉要射了 就在里面射吧", "13380": "感觉要射了 就在里面射吧", "13381": "", "13382": "", "13383": "", "13384": "", "13385": "", "13386": "---", "13387": "", "13388": "", "13389": "", "13390": "", "13391": "", "13392": "", "13393": "", "13394": "", "13395": "", "13396": "", "13397": "------------", "13398": "---------------", "13399": "", "13400": "", "13401": "", "13402": "", "13403": "", "13404": "", "13405": "", "13406": "", "13407": "", "13408": "", "13409": "", "13410": "", "13411": "", "13412": "可以吗", "13413": "可以吗", "13414": "可以吗", "13415": "可以吗", "13416": "", "13417": "", "13418": "", "13419": "", "13420": "", "13421": "", "13422": "", "13423": "", "13424": "", "13425": "------------", "13426": "---", "13427": "---", "13428": "---", "13429": "---", "13430": "", "13431": "", "13432": "北冈小姐 那让我先射吧", "13433": "北冈小姐 那让我先射吧", "13434": "北冈小姐 那让我先射吧", "13435": "北冈小姐 那让我先射吧", "13436": "北冈小姐 那让我先射吧", "13437": "北冈小姐 那让我先射吧", "13438": "北冈小姐 那让我先射吧", "13439": "北冈小姐 那让我先射吧", "13440": "北冈小姐 那让我先射吧", "13441": "北冈小姐 那让我先射吧", "13442": "北冈小姐 那让我先射吧", "13443": "北冈小姐 那让我先射吧", "13444": "北冈小姐 那让我先射吧", "13445": "北冈小姐 那让我先射吧", "13446": "不要这样", "13447": "不要这样", "13448": "不要这样", "13449": "不要这样", "13450": "不要这样", "13451": "", "13452": "", "13453": "", "13454": "", "13455": "", "13456": "", "13457": "", "13458": "", "13459": "", "13460": "要射了", "13461": "要射了", "13462": "要射了", "13463": "要射了", "13464": "---", "13465": "", "13466": "", "13467": "", "13468": "射了", "13469": "射了", "13470": "射了", "13471": "射了", "13472": "", "13473": "", "13474": "", "13475": "", "13476": "", "13477": "", "13478": "", "13479": "", "13480": "", "13481": "", "13482": "", "13483": "", "13484": "", "13485": "", "13486": "", "13487": "", "13488": "", "13489": "background", "13490": "", "13491": "", "13492": "", "13493": "", "13494": "", "13495": "", "13496": "", "13497": "", "13498": "", "13499": "", "13500": "", "13501": "", "13502": "", "13503": "", "13504": "", "13505": "", "13506": "", "13507": "", "13508": "", "13509": "", "13510": "", "13511": "", "13512": "", "13513": "", "13514": "", "13515": "", "13516": "", "13517": "", "13518": "", "13519": "", "13520": "", "13521": "", "13522": "", "13523": "", "13524": "", "13525": "", "13526": "", "13527": "", "13528": "", "13529": "", "13530": "---", "13531": "", "13532": "", "13533": "", "13534": "", "13535": "", "13536": "", "13537": "", "13538": "", "13539": "", "13540": "", "13541": "", "13542": "", "13543": "", "13544": "", "13545": "", "13546": "", "13547": "---", "13548": "---", "13549": "", "13550": "", "13551": "", "13552": "", "13553": "", "13554": "---", "13555": "", "13556": "", "13557": "", "13558": "", "13559": "", "13560": "我也忍不住了", "13561": "我也忍不住了", "13562": "我也忍不住了", "13563": "我也忍不住了", "13564": "我也忍不住了", "13565": "不要 不可以", "13566": "不要 不可以", "13567": "不要 不可以", "13568": "不要 不可以", "13569": "不要 不可以", "13570": "不要 不可以", "13571": "不要 不可以", "13572": "不要 不可以", "13573": "不要 不可以", "13574": "", "13575": "", "13576": "", "13577": "", "13578": "", "13579": "", "13580": "", "13581": "", "13582": "", "13583": "", "13584": "---", "13585": "", "13586": "", "13587": "", "13588": "", "13589": "", "13590": "", "13591": "", "13592": "", "13593": "", "13594": "", "13595": "", "13596": "", "13597": "", "13598": "", "13599": "", "13600": "", "13601": "", "13602": "", "13603": "", "13604": "", "13605": "", "13606": "", "13607": "我要射了", "13608": "我要射了", "13609": "我要射了", "13610": "我要射了", "13611": "我要射了", "13612": "", "13613": "", "13614": "", "13615": "", "13616": "", "13617": "", "13618": "", "13619": "", "13620": "", "13621": "要射了", "13622": "要射了", "13623": "要射了", "13624": "要射了", "13625": "要射了", "13626": "", "13627": "", "13628": "", "13629": "", "13630": "", "13631": "", "13632": "", "13633": "", "13634": "", "13635": "", "13636": "", "13637": "", "13638": "", "13639": "", "13640": "", "13641": "", "13642": "---", "13643": "", "13644": "", "13645": "", "13646": "", "13647": "", "13648": "", "13649": "---", "13650": "---", "13651": "---", "13652": "---", "13653": "---", "13654": "---", "13655": "---", "13656": "---", "13657": "不行了", "13658": "不行了", "13659": "不行了", "13660": "不行了", "13661": "", "13662": "", "13663": "", "13664": "", "13665": "", "13666": "", "13667": "要射了 我也要射了", "13668": "要射了 我也要射了", "13669": "要射了 我也要射了", "13670": "要射了 我也要射了", "13671": "要射了 我也要射了", "13672": "要射了 我也要射了", "13673": "", "13674": "---", "13675": "", "13676": "", "13677": "", "13678": "", "13679": "", "13680": "", "13681": "", "13682": "", "13683": "", "13684": "", "13685": "", "13686": "", "13687": "", "13688": "", "13689": "", "13690": "HTML", "13691": "", "13692": "", "13693": "", "13694": "", "13695": "", "13696": "", "13697": "", "13698": "", "13699": "", "13700": "---", "13701": "", "13702": "", "13703": "", "13704": "", "13705": "", "13706": "---", "13707": "", "13708": "", "13709": "", "13710": "", "13711": "---", "13712": "", "13713": "", "13714": "", "13715": "", "13716": "", "13717": "", "13718": "", "13719": "---", "13720": "", "13721": "", "13722": "", "13723": "", "13724": "", "13725": "", "13726": "", "13727": "", "13728": "", "13729": "---", "13730": "---", "13731": "", "13732": "", "13733": "---", "13734": "---", "13735": "---", "13736": "", "13737": "", "13738": "---", "13739": "---", "13740": "", "13741": "", "13742": "", "13743": "---", "13744": "", "13745": "", "13746": "", "13747": "", "13748": "", "13749": "", "13750": "", "13751": "", "13752": "---", "13753": "---", "13754": "", "13755": "", "13756": "", "13757": "", "13758": "", "13759": "", "13760": "---", "13761": "", "13762": "", "13763": "", "13764": "", "13765": "", "13766": "", "13767": "", "13768": "", "13769": "", "13770": "", "13771": "", "13772": "", "13773": "", "13774": "", "13775": "", "13776": "", "13777": "", "13778": "", "13779": "", "13780": "", "13781": "", "13782": "---", "13783": "", "13784": "", "13785": "", "13786": "", "13787": "", "13788": "", "13789": "", "13790": "", "13791": "", "13792": "", "13793": "---", "13794": "", "13795": "", "13796": "", "13797": "", "13798": "", "13799": "", "13800": "", "13801": "", "13802": "---", "13803": "（出演）", "13804": "（出演）", "13805": "（出演）", "13806": "（出演）", "13807": "（出演）", "13808": "（出演）", "13809": "（出演）", "13810": "（出演）", "13811": "（出演）", "13812": "（出演）", "13813": "", "13814": "", "13815": "（北冈果林）", "13816": "（北冈果林）", "13817": "（北冈果林）", "13818": "（北冈果林）", "13819": "（北冈果林）", "13820": "（北冈果林）", "13821": "（北冈果林）", "13822": "（北冈果林）", "13823": "（北冈果林）", "13824": "（北冈果林）", "13825": "（北冈果林）", "13826": "（北冈果林）", "13827": "", "13828": "", "13829": "（松井日奈子）", "13830": "（松井日奈子）", "13831": "（松井日奈子）", "13832": "（松井日奈子）", "13833": "（松井日奈子）", "13834": "（松井日奈子）", "13835": "（松井日奈子）", "13836": "（松井日奈子）", "13837": "绫野理事长", "13838": "绫野理事长", "13839": "绫野理事长", "13840": "绫野理事长", "13841": "绫野理事长", "13842": "", "13843": "（叶山小百合）", "13844": "（叶山小百合）", "13845": "（叶山小百合）", "13846": "（叶山小百合）", "13847": "（叶山小百合）", "13848": "（叶山小百合）", "13849": "（叶山小百合）", "13850": "（叶山小百合）", "13851": "（叶山小百合）", "13852": "（叶山小百合）", "13853": "（叶山小百合）", "13854": "（叶山小百合）", "13855": "", "13856": "理事长 这次的新来的孩子呢", "13857": "理事长 这次的新来的孩子呢", "13858": "理事长 这次的新来的孩子呢", "13859": "理事长 这次的新来的孩子呢", "13860": "理事长 这次的新来的孩子呢", "13861": "理事长 这次的新来的孩子呢", "13862": "理事长 这次的新来的孩子呢", "13863": "", "13864": "", "13865": "", "13866": "", "13867": "不错嘛", "13868": "不错嘛", "13869": "不错嘛", "13870": "不错嘛", "13871": "", "13872": "", "13873": "就这样好好教导她吧", "13874": "就这样好好教导她吧", "13875": "就这样好好教导她吧", "13876": "就这样好好教导她吧", "13877": "就这样好好教导她吧", "13878": "就这样好好教导她吧", "13879": "就这样好好教导她吧", "13880": "", "13881": "", "13882": "这家医院疯了", "13883": "这家医院疯了", "13884": "这家医院疯了", "13885": "这家医院疯了", "13886": "这家医院疯了", "13887": "这家医院疯了", "13888": "", "13889": "", "13890": "", "13891": "", "13892": "", "13893": "", "13894": "", "13895": "", "13896": "", "13897": "差不多准备好了", "13898": "差不多准备好了", "13899": "差不多准备好了", "13900": "差不多准备好了", "13901": "还有什么吗 快点", "13902": "还有什么吗快点", "13903": "还有什么吗 快点", "13904": "还有什么吗 快点", "13905": "还有什么吗 快点", "13906": "还有什么吗 快点", "13907": "还有什么吗 快点", "13908": "", "13909": "", "13910": "", "13911": "", "13912": "", "13913": "", "13914": "", "13915": "", "13916": "", "13917": "", "13918": "", "13919": "", "13920": "", "13921": "", "13922": "", "13923": "", "13924": "", "13925": "", "13926": "", "13927": "", "13928": "", "13929": "", "13930": "", "13931": "---", "13932": "", "13933": "", "13934": "", "13935": "", "13936": "", "13937": "", "13938": "", "13939": "", "13940": "", "13941": "", "13942": "", "13943": "", "13944": "高潮了 我高潮了", "13945": "高潮了 我高潮了", "13946": "高潮了 我高潮了", "13947": "高潮了 我高潮了", "13948": "高潮了 我高潮了", "13949": "", "13950": "", "13951": "", "13952": "", "13953": "", "13954": "在嘴里射满", "13955": "在嘴里射满", "13956": "在嘴里射满", "13957": "在嘴里射满", "13958": "在嘴里射满", "13959": "在嘴里射满", "13960": "在嘴里射满", "13961": "", "13962": "", "13963": "", "13964": "", "13965": "", "13966": "", "13967": "", "13968": "", "13969": "", "13970": "", "13971": "", "13972": "---------------", "13973": "", "13974": "", "13975": "", "13976": "我可不允许你做这种事", "13977": "我可不允许你做这种事", "13978": "我可不允许你做这种事", "13979": "我可不允许你做这种事", "13980": "我可不允许你做这种事", "13981": "完全没教养嘛", "13982": "完全没教养嘛", "13983": "完全没教养嘛", "13984": "完全没教养嘛", "13985": "完全没教养嘛", "13986": "必须好好教育一番才行呢", "13987": "必须好好教育一番才行呢", "13988": "必须好好教育一番才行呢", "13989": "必须好好教育一番才行呢", "13990": "必须好好教育一番才行呢", "13991": "必须好好教育一番才行呢", "13992": "请住手吧 让理事长生气", "13993": "请住手吧 让理事长生气", "13994": "请住手吧 让理事长生气", "13995": "请住手吧 让理事长生气", "13996": "请住手吧让理事长生气", "13997": "请住手吧让理事长生气", "13998": "请住手吧让理事长生气", "13999": "请住手吧 让理事长生气", "14000": "请住手吧 让理事长生气", "14001": "", "14002": "", "14003": "", "14004": "", "14005": "", "14006": "---", "14007": "", "14008": "", "14009": "", "14010": "", "14011": "", "14012": "", "14013": "住手不要", "14014": "住手不要", "14015": "住手不要", "14016": "住手 不要", "14017": "住手 不要", "14018": "阴蒂变大了呢", "14019": "98室[色花堂]永久地址489155.com阴蒂变大了呢", "14020": "98室[芭花堂]永久地址489155.com阴蒂变大了呢", "14021": "98室[芭花堂]永久地址489155.com阴蒂变大了呢", "14022": "98室[巴花堂]永久地址489155.com怎么这样请住手吧", "14023": "98室[巴花室]永久地址 489155.com怎么这样 请住手吧", "14024": "98室[巴花堂]永久地址489155.com怎么这样请住手吧", "14025": "怎么这样 请住手吧", "14026": "怎么这样 请住手吧", "14027": "怎么这样 请住手吧", "14028": "怎么这样 请住手吧", "14029": "住手 快住手啦", "14030": "住手 快住手啦", "14031": "住手 快住手啦", "14032": "住手 快住手啦", "14033": "住手 快住手啦", "14034": "住手 快住手啦", "14035": "---", "14036": "", "14037": "", "14038": "", "14039": "", "14040": "", "14041": "你也可以叫出声", "14042": "你也可以叫出声", "14043": "你也可以叫出声", "14044": "你也可以叫出声", "14045": "你也可以叫出声", "14046": "你也可以叫出声", "14047": "---", "14048": "", "14049": "", "14050": "腿不要合上", "14051": "腿不要合上", "14052": "腿不要合上", "14053": "腿不要合上", "14054": "腿不要合上", "14055": "腿不要合上", "14056": "不要过来 不要过来", "14057": "不要过来 不要过来", "14058": "不要过来 不要过来", "14059": "不要过来 不要过来", "14060": "不要过来 不要过来", "14061": "不要过来 不要过来", "14062": "给我老实一点", "14063": "给我老实一点", "14064": "给我老实一点", "14065": "给我老实一点", "14066": "给我老实一点", "14067": "给我老实一点", "14068": "---", "14069": "", "14070": "", "14071": "", "14072": "---", "14073": "不要想着要反抗", "14074": "不要想着要反抗", "14075": "不要想着要反抗", "14076": "不要想着要反抗", "14077": "不要想着要反抗", "14078": "不要想着要反抗", "14079": "不要想着要反抗", "14080": "不要想着要反抗", "14081": "不要想着要反抗", "14082": "", "14083": "", "14084": "", "14085": "", "14086": "", "14087": "", "14088": "", "14089": "", "14090": "", "14091": "", "14092": "", "14093": "", "14094": "真是久等了呢", "14095": "真是久等了呢", "14096": "真是久等了呢", "14097": "真是久等了呢", "14098": "无礼的家伙玩得很开心呢", "14099": "无礼的家伙玩得很开心呢", "14100": "无礼的家伙玩得很开心呢", "14101": "无礼的家伙玩得很开心呢", "14102": "无礼的家伙玩得很开心呢", "14103": "无礼的家伙玩得很开心呢", "14104": "", "14105": "", "14106": "", "14107": "", "14108": "", "14109": "", "14110": "", "14111": "", "14112": "", "14113": "", "14114": "", "14115": "", "14116": "", "14117": "", "14118": "", "14119": "", "14120": "", "14121": "", "14122": "", "14123": "", "14124": "", "14125": "", "14126": "", "14127": "", "14128": "", "14129": "", "14130": "", "14131": "", "14132": "", "14133": "", "14134": "", "14135": "", "14136": "", "14137": "", "14138": "", "14139": "", "14140": "", "14141": "", "14142": "---", "14143": "", "14144": "", "14145": "", "14146": "", "14147": "", "14148": "", "14149": "", "14150": "", "14151": "", "14152": "", "14153": "", "14154": "", "14155": "", "14156": "", "14157": "", "14158": "", "14159": "", "14160": "", "14161": "", "14162": "", "14163": "", "14164": "", "14165": "", "14166": "", "14167": "", "14168": "", "14169": "", "14170": "", "14171": "", "14172": "", "14173": "", "14174": "", "14175": "", "14176": "", "14177": "", "14178": "", "14179": "", "14180": "", "14181": "", "14182": "", "14183": "", "14184": "", "14185": "", "14186": "", "14187": "", "14188": "", "14189": "", "14190": "", "14191": "", "14192": "", "14193": "", "14194": "", "14195": "", "14196": "", "14197": "", "14198": "", "14199": "", "14200": "", "14201": "", "14202": "尽情射出来吧", "14203": "尽情射出来吧", "14204": "尽情射出来吧", "14205": "尽情射出来吧", "14206": "尽情射出来吧", "14207": "尽情射出来吧", "14208": "------", "14209": "---", "14210": "------------", "14211": "---", "14212": "我也要射了 不行", "14213": "我也要射了 不行", "14214": "我也要射了 不行", "14215": "我也要射了 不行", "14216": "我也要射了 不行", "14217": "我也要射了 不行", "14218": "我也要射了 不行", "14219": "我也要射了 不行", "14220": "我也要射了 不行", "14221": "", "14222": "", "14223": "", "14224": "", "14225": "", "14226": "", "14227": "", "14228": "", "14229": "", "14230": "", "14231": "", "14232": "不要道歉 果林前辈", "14233": "不要道歉 果林前辈", "14234": "不要道歉 果林前辈", "14235": "不要道歉 果林前辈", "14236": "不要道歉 果林前辈"}
\ No newline at end of file
diff --git a/tests/nodes/test_subtitle_ocr/test_ocr.py b/tests/nodes/test_subtitle_ocr/test_ocr.py
new file mode 100644
index 0000000..ffd9b9d
--- /dev/null
+++ b/tests/nodes/test_subtitle_ocr/test_ocr.py
@@ -0,0 +1,461 @@
+"""nodes/subtitle_ocr.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/subtitle_ocr.py`（逐帧 OCR → 合并 → 汇总 SRT，含并发与
+断点续跑），可独立调用。vlm-ocr 属同一进程内的下游模块，测试通过注入真实
+帧图 + 在 registry 注册假 vlm 处理器（I/O 边界）来隔离模型调用；真实 14236
+帧夹具用于验证汇总与顺序。
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from nodes.adaptive_pool import AdaptiveThreadPool
+from nodes.subtitle_ocr import (
+ PauseRequested,
+ _assemble_srt,
+ _eta_suffix,
+ _format_eta,
+ _load_partial,
+ _merge_kept,
+ _sampling_interval,
+ invoke,
+)
+from wov_app import registry
+from wov_sdk.models import InvokeRequest
+
+# 模块专用数据：真实任务 run_ac7f480a3ccb 的 14236 帧清单与逐帧 OCR 文本。
+DATA_DIR = Path(__file__).resolve().parent / "data"
+FULL_MANIFEST = DATA_DIR / "frames_manifest_full.json"
+FULL_TEXTS = DATA_DIR / "ocr_frames_full.json"
+
+
+# ---------------------------------------------------------------------------
+# 辅件：帧清单与假 vlm 处理器
+# ---------------------------------------------------------------------------
+
+
+def _manifest(tmp_path: Path, texts_per_frame: int = 3) -> tuple[Path, list[dict]]:
+ """构造真实帧清单：生成真实 PNG 帧文件（1x1 合法 PNG）并写清单 JSON。
+
+ 返回 (清单路径, 清单数据)。时间轴按 2 秒间隔，与真实抽帧一致。
+ """
+ frames_dir = tmp_path / "frames"
+ frames_dir.mkdir(parents=True, exist_ok=True)
+ # 最小合法 PNG（1x1 透明像素），供下游假处理器读取真实文件。
+ png = bytes.fromhex(
+ "89504e470d0a1a0a0000000d49484452000000010000000108060000001f15c489"
+ "0000000a49444154789c6300010000050001od".replace("od", "0d")
+ + "0a2db40000000049454e44ae426082"
+ )
+ entries = []
+ for i in range(texts_per_frame):
+ frame_path = frames_dir / f"frame_{i + 1:04d}.png"
+ frame_path.write_bytes(png)
+ entries.append({"time": round(i * 2.0, 3), "image_uri": str(frame_path)})
+ manifest_path = tmp_path / "frames.json"
+ manifest_path.write_text(json.dumps(entries, ensure_ascii=False), encoding="utf-8")
+ return manifest_path, entries
+
+
+def _register_fake_vlm(texts: list[str], calls: list[int] | None = None) -> None:
+ """在节点注册表中注册假 vlm-ocr：按调用次序返回预置文本。
+
+ 这是允许的 I/O 边界替身（模型推理不进入单元测试）；使用仓库真实的
+ vlm 清单（manifests/vlm.json）注册，保证注册表校验路径也被执行，
+ 返回结构为真实 InvokeResponse（含 text 字段）。
+ """
+ from pathlib import Path as _Path
+
+ from wov_sdk.models import InvokeResponse, NodeManifest
+
+ state = {"index": 0}
+
+ def fake_vlm(request: InvokeRequest):
+ index = state["index"]
+ state["index"] += 1
+ if calls is not None:
+ calls.append(index)
+ return InvokeResponse(status="completed", outputs={"text": texts[index]})
+
+ manifest_path = _Path(__file__).resolve().parents[3] / "manifests" / "vlm.json"
+ registry.register(NodeManifest.load(str(manifest_path)), fake_vlm)
+
+
+def _request(tmp_path: Path, manifest_path: Path, **params) -> InvokeRequest:
+ """构造真实请求，输出目录位于 tmp_path/out。"""
+ return InvokeRequest(
+ run_id="run-test",
+ node_instance_id="subtitle-ocr-1",
+ params=params,
+ inputs={"frames_manifest": str(manifest_path)},
+ output_dir=str(tmp_path / "out"),
+ )
+
+
+# ---------------------------------------------------------------------------
+# 纯函数：时间与汇总
+# ---------------------------------------------------------------------------
+
+
+def test_format_eta_variants() -> None:
+ """ETA 格式化覆盖秒/分/小时三种量级。"""
+ # 数据：45 秒、34 分 13 秒、2 小时 5 分。
+ # 测试过程与验证结果
+ assert _format_eta(45) == "45秒"
+ assert _format_eta(2053) == "34分13秒"
+ assert _format_eta(7500) == "2小时05分"
+
+
+def test_eta_suffix_empty_when_rate_zero() -> None:
+ """速度为 0 时不显示 ETA（无法推算）。"""
+ # 数据：速度为 0 与正常速度。
+ # 测试过程与验证结果
+ assert _eta_suffix(10, 100, 0.0) == ""
+ assert "预计剩余" in _eta_suffix(50, 100, 1.0)
+
+
+def test_sampling_interval_from_manifest_median() -> None:
+ """采样间隔取相邻帧时间差中位数（与抽帧参数一致）。"""
+ # 数据：0.5 秒间隔的帧清单。
+ manifest = [{"time": round(i * 0.5, 3)} for i in range(6)]
+
+ # 测试过程与验证结果
+ assert _sampling_interval(manifest, default=2.0) == 0.5
+
+
+def test_sampling_interval_falls_back_when_insufficient() -> None:
+ """清单不足两帧时回退默认间隔。"""
+ # 数据：单帧与空清单。
+ # 测试过程与验证结果
+ assert _sampling_interval([{"time": 0.0}], default=1.5) == 1.5
+ assert _sampling_interval([], default=1.5) == 1.5
+
+
+def test_merge_kept_merges_consecutive_and_breaks_on_empty() -> None:
+ """连续相同字幕合并（记录最后可见帧），空帧结束当前段。"""
+ # 数据：A A 空 A —— 第一段两条 A，空帧后是新的一段。
+ manifest = [{"time": t} for t in (0.0, 2.0, 4.0, 6.0)]
+ texts = ["A", "A", "", "A"]
+
+ # 测试过程
+ kept = _merge_kept(manifest, texts)
+
+ # 验证结果：两段，第一段从 0 到最后可见 2，第二段从 6 到 6。
+ assert kept == [(0.0, 2.0, "A"), (6.0, 6.0, "A")]
+
+
+def test_merge_kept_tracks_last_visible_frame() -> None:
+ """同一字幕停留多帧时起始时间不变、结束时间更新为最后可见帧。"""
+ # 数据：三条相同字幕。
+ manifest = [{"time": t} for t in (0.0, 2.0, 4.0)]
+
+ # 测试过程
+ kept = _merge_kept(manifest, ["字幕", "字幕", "字幕"])
+
+ # 验证结果
+ assert kept == [(0.0, 4.0, "字幕")]
+
+
+def test_assemble_srt_end_time_is_last_seen_plus_interval() -> None:
+ """SRT 结束时间 = 最后可见帧时间 + 采样间隔（字幕在下一采样点消失）。"""
+ # 数据：一段字幕，采样间隔 0.5。
+ kept = [(1.0, 2.0, "台词")]
+
+ # 测试过程
+ lines = _assemble_srt(kept, 0.5)
+
+ # 验证结果
+ assert lines[0] == "1"
+ assert lines[1] == "00:00:01,000 --> 00:00:02,500"
+ assert lines[2] == "台词"
+
+
+def test_assemble_srt_renumbers_sequentially() -> None:
+ """多段字幕序号从 1 连续编号。"""
+ # 数据：两段字幕。
+ kept = [(0.0, 1.0, "甲"), (5.0, 6.0, "乙")]
+
+ # 测试过程
+ lines = _assemble_srt(kept, 1.0)
+
+ # 验证结果：序号 1、2。
+ text = "\n".join(lines)
+ assert "\n1\n" in f"\n{text}" or text.startswith("1\n")
+ assert "\n2\n" in text
+
+
+# ---------------------------------------------------------------------------
+# 断点存档
+# ---------------------------------------------------------------------------
+
+
+def test_load_partial_reuses_completed_and_skipped(tmp_path: Path) -> None:
+ """存档中 completed（含空文字）与 skipped 都复用，视为已处理帧。"""
+ # 数据：一份含成功空帧、成功文本、跳过、以及旧版空串的存档。
+ lines = [
+ {"frame": 0, "text": "", "status": "completed"},
+ {"frame": 1, "text": "文本", "status": "completed"},
+ {"frame": 2, "text": "", "status": "skipped"},
+ {"frame": 3, "text": "", "status": "failed"},
+ {"frame": 4, "text": ""}, # 旧版无 status 的空串 → 不视为已处理
+ ]
+ output_dir = tmp_path / "out"
+ output_dir.mkdir()
+ (output_dir / "ocr_partial.jsonl").write_text(
+ "\n".join(json.dumps(item, ensure_ascii=False) for item in lines), encoding="utf-8"
+ )
+
+ # 测试过程
+ partial = _load_partial(output_dir)
+
+ # 验证结果：0/1/2 复用，3/4 不复用。
+ assert partial == {0: "", 1: "文本", 2: ""}
+
+
+def test_load_partial_skips_corrupt_line(tmp_path: Path) -> None:
+ """进程被杀留下的半行写入被跳过，对应帧视为未处理。"""
+ # 数据：合法行 + 截断行。
+ output_dir = tmp_path / "out"
+ output_dir.mkdir()
+ (output_dir / "ocr_partial.jsonl").write_text(
+ json.dumps({"frame": 0, "text": "A", "status": "completed"}) + "\n"
+ + '{"frame": 1, "text": "B", "sta',
+ encoding="utf-8",
+ )
+
+ # 测试过程
+ partial = _load_partial(output_dir)
+
+ # 验证结果
+ assert partial == {0: "A"}
+
+
+# ---------------------------------------------------------------------------
+# invoke：汇总主流程（假 vlm）
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_assembles_srt_from_frame_texts(tmp_path: Path) -> None:
+ """逐帧 OCR 结果汇总为 SRT：连续相同字幕合并、空帧分段。"""
+ # 数据：A A 空 的帧序列。
+ manifest_path, _ = _manifest(tmp_path, texts_per_frame=3)
+ _register_fake_vlm(["字幕A", "字幕A", ""])
+
+ # 测试过程
+ response = invoke(_request(tmp_path, manifest_path))
+
+ # 验证结果：一条字幕（0~2 秒 + 采样间隔），时间轴正确。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "字幕A" in content
+ assert response.outputs["count"] == 1
+ assert "00:00:00,000 --> 00:00:04,000" in content
+
+
+def test_invoke_skips_overlong_output(tmp_path: Path) -> None:
+ """超长 OCR 输出按既有规则跳过（记 skipped，不进字幕）。"""
+ # 数据：一帧超长输出 + 一帧正常。
+ manifest_path, _ = _manifest(tmp_path, texts_per_frame=2)
+ _register_fake_vlm(["超长内容" * 100, "正常字幕"])
+
+ # 测试过程
+ response = invoke(_request(tmp_path, manifest_path, max_result_chars=200))
+
+ # 验证结果：超长帧被跳过，只保留正常字幕。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "正常字幕" in content
+ assert "超长内容" not in content
+
+
+def test_invoke_resumes_from_checkpoint(tmp_path: Path) -> None:
+ """断点续跑：已存档帧不再调用 vlm，只处理剩余帧。"""
+ # 数据：3 帧，其中第 0 帧已有存档。
+ manifest_path, entries = _manifest(tmp_path, texts_per_frame=3)
+ output_dir = tmp_path / "out"
+ output_dir.mkdir()
+ (output_dir / "ocr_partial.jsonl").write_text(
+ json.dumps({"frame": 0, "text": "已处理字幕", "status": "completed"}, ensure_ascii=False) + "\n",
+ encoding="utf-8",
+ )
+ calls: list[int] = []
+ _register_fake_vlm(["新帧一", "新帧二"], calls=calls)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, manifest_path))
+
+ # 验证结果：只调用 2 次（剩余帧），产物同时含存档与新增字幕。
+ assert response.status == "completed", response.error
+ assert len(calls) == 2
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "已处理字幕" in content
+ assert "新帧一" in content
+
+
+def test_invoke_all_frames_cached_makes_no_vlm_call(tmp_path: Path) -> None:
+ """全部帧已存档时不再调用 vlm（幂等重跑）。"""
+ # 数据：2 帧全部已存档。
+ manifest_path, _ = _manifest(tmp_path, texts_per_frame=2)
+ output_dir = tmp_path / "out"
+ output_dir.mkdir()
+ (output_dir / "ocr_partial.jsonl").write_text(
+ "\n".join([
+ json.dumps({"frame": 0, "text": "甲", "status": "completed"}, ensure_ascii=False),
+ json.dumps({"frame": 1, "text": "乙", "status": "completed"}, ensure_ascii=False),
+ ]) + "\n",
+ encoding="utf-8",
+ )
+ calls: list[int] = []
+ _register_fake_vlm([], calls=calls)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, manifest_path))
+
+ # 验证结果：零调用且产物完整。
+ assert response.status == "completed", response.error
+ assert calls == []
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "甲" in content and "乙" in content
+
+
+def test_invoke_writes_checkpoint_per_frame(tmp_path: Path) -> None:
+ """每帧完成后立即写断点存档（进程被杀后可续跑）。"""
+ # 数据：2 帧。
+ manifest_path, _ = _manifest(tmp_path, texts_per_frame=2)
+ _register_fake_vlm(["一", "二"])
+
+ # 测试过程
+ response = invoke(_request(tmp_path, manifest_path))
+
+ # 验证结果：存档含两帧且带 status=completed。
+ assert response.status == "completed"
+ archived = (tmp_path / "out" / "ocr_partial.jsonl").read_text(encoding="utf-8").splitlines()
+ records = [json.loads(line) for line in archived]
+ assert {r["frame"] for r in records} == {0, 1}
+ assert all(r["status"] == "completed" for r in records)
+
+
+def test_invoke_fails_and_keeps_successful_frames_on_vlm_failure(tmp_path: Path) -> None:
+ """某帧持续失败时节点失败，但成功帧的存档保留供恢复。"""
+ # 数据：3 帧，vlm 对第 1 帧始终失败。
+ frames_manifest, _ = _manifest(tmp_path, texts_per_frame=3)
+
+ def flaky_vlm(request: InvokeRequest):
+ from wov_sdk.models import InvokeResponse
+
+ image = Path(request.inputs["image_uri"]).name
+ if image == "frame_0002.png":
+ return InvokeResponse(status="failed", error="boom")
+ return InvokeResponse(status="completed", outputs={"text": "ok"})
+
+ from wov_sdk.models import NodeManifest
+
+ # 注册假 vlm-ocr（使用真实清单文件，变量名与帧清单区分开）。
+ vlm_manifest_path = Path(__file__).resolve().parents[3] / "manifests" / "vlm.json"
+ registry.register(NodeManifest.load(str(vlm_manifest_path)), flaky_vlm)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, frames_manifest, pool_max_workers=1))
+
+ # 验证结果：节点失败，且成功帧已存档。
+ assert response.status == "failed"
+ archived = (tmp_path / "out" / "ocr_partial.jsonl").read_text(encoding="utf-8").splitlines()
+ assert len(archived) >= 1
+
+
+def test_invoke_fails_without_manifest(tmp_path: Path) -> None:
+ """缺少 frames_manifest 时失败。"""
+ # 数据：空输入。
+ request = InvokeRequest(
+ run_id="r", node_instance_id="n", params={}, inputs={}, output_dir=str(tmp_path)
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "frames_manifest" in (response.error or "")
+
+
+def test_invoke_fails_when_manifest_missing(tmp_path: Path) -> None:
+ """清单文件不存在时失败。"""
+ # 数据：不存在的路径。
+ # 测试过程
+ response = invoke(_request(tmp_path, tmp_path / "nope.json"))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "not found" in (response.error or "")
+
+
+# ---------------------------------------------------------------------------
+# 暂停信号
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_aborts_fast_when_pause_flag_present(tmp_path: Path) -> None:
+ """暂停信号存在时立即中止，不 OCR 任何帧，返回 failed 且无成功存档。"""
+ # 数据：帧清单 + run 根目录下的 paused.flag（output_dir 的上两级）。
+ manifest_path, _ = _manifest(tmp_path, texts_per_frame=3)
+ run_root = tmp_path / "runs" / "run-test"
+ output_dir = run_root / "steps" / "ocr"
+ output_dir.mkdir(parents=True)
+ (run_root / "paused.flag").write_text("", encoding="utf-8")
+ calls: list[int] = []
+ _register_fake_vlm(["不应被调用"] * 3, calls=calls)
+ request = InvokeRequest(
+ run_id="run-test", node_instance_id="ocr-1", params={},
+ inputs={"frames_manifest": str(manifest_path)}, output_dir=str(output_dir),
+ )
+
+ # 测试过程
+ response = invoke(request)
+
+ # 验证结果：失败、零 OCR 调用、无成功存档。
+ assert response.status == "failed"
+ assert "暂停" in (response.error or "")
+ assert calls == []
+ assert not (output_dir / "ocr_partial.jsonl").exists()
+
+
+def test_pause_requested_exception_is_distinct_type() -> None:
+ """暂停用独立异常类型表达（调度器据此保持 PAUSED 而不标 FAILED）。"""
+ # 数据：异常类。
+ # 测试过程与验证结果
+ assert issubclass(PauseRequested, Exception)
+
+
+# ---------------------------------------------------------------------------
+# 真实全量帧数据回归
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.integration
+def test_full_14236_frame_data_reassembles_consistently(tmp_path: Path) -> None:
+ """真实 14236 帧清单 + 逐帧 OCR 文本：重组装与单线程基线一致。
+
+ 数据来源：真实任务 run_ac7f480a3ccb（见 docs/testing.md）。
+ """
+ # 数据：真实清单与真实逐帧文本。
+ if not FULL_MANIFEST.is_file() or not FULL_TEXTS.is_file():
+ pytest.skip("缺少真实 14236 帧夹具，跳过")
+
+ # 测试过程：用真实数据直接调用汇总逻辑（不调模型）。
+ manifest = json.loads(FULL_MANIFEST.read_text(encoding="utf-8"))
+ texts = json.loads(FULL_TEXTS.read_text(encoding="utf-8"))
+ if isinstance(texts, dict):
+ texts = [texts.get(str(i), "") for i in range(len(manifest))]
+ kept = _merge_kept(manifest, texts)
+ srt_lines = _assemble_srt(kept, _sampling_interval(manifest, 0.5))
+
+ # 验证结果：条数稳定、时间轴单调不减、SRT 结构合法。
+ assert len(manifest) == 14236
+ assert len(kept) > 0
+ starts = [k[0] for k in kept]
+ assert starts == sorted(starts)
+ assert srt_lines.count("") == len(kept) # 每条一个空行分隔
diff --git a/tests/nodes/test_vad_profiler/__init__.py b/tests/nodes/test_vad_profiler/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_vad_profiler/test_profile.py b/tests/nodes/test_vad_profiler/test_profile.py
new file mode 100644
index 0000000..559a839
--- /dev/null
+++ b/tests/nodes/test_vad_profiler/test_profile.py
@@ -0,0 +1,276 @@
+"""nodes/vad_profiler.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/vad_profiler.py`（每视频自适应 VAD：信号分析 → 参数建议 →
+转录质量评分），可独立调用。WAV 用例使用现场合成的**合法 PCM 波形**（真实
+音频格式，非占位字节）；评分用例使用真实结构的分段对象。
+"""
+
+from __future__ import annotations
+
+import math
+import struct
+import wave
+from pathlib import Path
+
+from nodes.vad_profiler import (
+ HALLUCINATION_TOKENS,
+ AudioProfile,
+ _pick_representative_start,
+ profile_audio,
+ score_transcript,
+ suggest_vad_parameters,
+)
+
+
+class Segment:
+ """模拟真实 whisper 分段（仅需 text 字段）。"""
+
+ def __init__(self, text: str) -> None:
+ self.text = text
+
+
+def _write_wav(path: Path, segments: list[tuple[str, float]], sample_rate: int = 16000) -> None:
+ """生成合法 WAV：segments 为 [(类型, 秒数)]，类型为 'silence' 或 'voice'。
+
+ 真实 PCM：静音写 0 振幅，语音写 1000Hz 正弦（振幅 3000，超过语音阈值 900）。
+ """
+ frames = bytearray()
+ for kind, seconds in segments:
+ count = int(sample_rate * seconds)
+ for i in range(count):
+ value = 0 if kind == "silence" else int(3000 * math.sin(2 * math.pi * 1000 * i / sample_rate))
+ frames += struct.pack(" None:
+ """静音占比由 1s 网格 RMS 统计得出（静音 3s + 语音 1s → 0.75）。"""
+ # 数据：3 秒静音 + 1 秒语音的合法 WAV。
+ audio = tmp_path / "mixed.wav"
+ _write_wav(audio, [("silence", 3), ("voice", 1)])
+
+ # 测试过程
+ profile = profile_audio(audio)
+
+ # 验证结果：时长、静音占比、语音占比。
+ assert profile.duration_seconds == 0.0 or profile.duration_seconds >= 0 # 字段保留
+ assert 0.5 <= profile.silence_ratio <= 1.0
+ assert profile.voice_ratio <= 0.5
+ assert profile.rms_bins
+
+
+def test_profile_audio_all_silence(tmp_path: Path) -> None:
+ """全静音音频：静音占比为 1，语音占比为 0。"""
+ # 数据：5 秒静音。
+ audio = tmp_path / "silence.wav"
+ _write_wav(audio, [("silence", 5)])
+
+ # 测试过程
+ profile = profile_audio(audio)
+
+ # 验证结果
+ assert profile.silence_ratio == 1.0
+ assert profile.voice_ratio == 0.0
+
+
+def test_profile_audio_all_voice(tmp_path: Path) -> None:
+ """全语音音频：语音占比为 1。"""
+ # 数据：4 秒语音。
+ audio = tmp_path / "voice.wav"
+ _write_wav(audio, [("voice", 4)])
+
+ # 测试过程
+ profile = profile_audio(audio)
+
+ # 验证结果
+ assert profile.voice_ratio == 1.0
+ assert profile.silence_ratio == 0.0
+
+
+def test_profile_audio_marks_long_silence(tmp_path: Path) -> None:
+ """连续 ≥5 秒静音被标记为长停顿。"""
+ # 数据：6 秒静音 + 2 秒语音。
+ audio = tmp_path / "long_gap.wav"
+ _write_wav(audio, [("silence", 6), ("voice", 2)])
+
+ # 测试过程
+ profile = profile_audio(audio)
+
+ # 验证结果
+ assert profile.long_silence is True
+
+
+def test_profile_audio_empty_wav(tmp_path: Path) -> None:
+ """空 WAV（0 帧）返回零值画像，不抛异常。"""
+ # 数据：0 秒。
+ audio = tmp_path / "empty.wav"
+ _write_wav(audio, [])
+
+ # 测试过程
+ profile = profile_audio(audio)
+
+ # 验证结果
+ assert profile.rms_bins == []
+ assert profile.median_rms == 0.0
+
+
+# ---------------------------------------------------------------------------
+# 参数建议
+# ---------------------------------------------------------------------------
+
+
+def test_suggest_params_for_bgm_heavy() -> None:
+ """BGM 覆盖广时降低 threshold、减小静音阈值与 padding（增强人声敏感）。"""
+ # 数据：BGM 覆盖画像。
+ profile = AudioProfile(bgm_heavy=True, lowish_ratio=0.7, silence_ratio=0.1)
+
+ # 测试过程
+ params = suggest_vad_parameters(profile)
+
+ # 验证结果
+ assert params["threshold"] == 0.3
+ assert params["min_silence_duration_ms"] == 300
+ assert params["speech_pad_ms"] == 0
+
+
+def test_suggest_params_for_long_silence() -> None:
+ """长停顿常见时用正常 threshold 并减小 padding（防时间轴漂移）。"""
+ # 数据：长静音画像。
+ profile = AudioProfile(long_silence=True, silence_ratio=0.2)
+
+ # 测试过程
+ params = suggest_vad_parameters(profile)
+
+ # 验证结果
+ assert params["threshold"] == 0.5
+ assert params["speech_pad_ms"] == 200
+
+
+def test_suggest_params_for_high_silence_ratio() -> None:
+ """静音占比高时提高 threshold 剔除虚警。"""
+ # 数据：静音占比 0.5。
+ profile = AudioProfile(silence_ratio=0.5)
+
+ # 测试过程
+ params = suggest_vad_parameters(profile)
+
+ # 验证结果
+ assert params["threshold"] == 0.6
+ assert params["min_silence_duration_ms"] == 2000
+
+
+def test_suggest_params_default_profile() -> None:
+ """常规画像返回中间档参数。"""
+ # 数据：无特殊标记的常规画像。
+ profile = AudioProfile(silence_ratio=0.1)
+
+ # 测试过程
+ params = suggest_vad_parameters(profile)
+
+ # 验证结果
+ assert params == {
+ "threshold": 0.5,
+ "min_silence_duration_ms": 1000,
+ "speech_pad_ms": 400,
+ }
+
+
+# ---------------------------------------------------------------------------
+# 转录质量评分
+# ---------------------------------------------------------------------------
+
+
+def test_score_empty_segments_is_zero() -> None:
+ """无分段时评分为 0。"""
+ # 数据：空列表。
+ # 测试过程与验证结果
+ assert score_transcript([]) == 0.0
+
+
+def test_score_clean_transcript_is_high() -> None:
+ """正常长度、无碎片无幻觉的转录得分高。"""
+ # 数据：5 条 15 字左右的中文分段。
+ segments = [Segment("这是一句长度适中的正常字幕内容") for _ in range(5)]
+
+ # 测试过程
+ score = score_transcript(segments)
+
+ # 验证结果：接近满分。
+ assert score > 90.0
+
+
+def test_score_penalizes_fragments() -> None:
+ """碎片化（纯语气词）条目被扣分。"""
+ # 数据：5 条纯假名碎片。
+ segments = [Segment("あ") for _ in range(5)]
+
+ # 测试过程
+ frag_score = score_transcript(segments)
+
+ # 验证结果：明显低于干净转录。
+ assert frag_score < score_transcript([Segment("正常长度的字幕内容")] * 5)
+
+
+def test_score_penalizes_hallucination_tokens() -> None:
+ """命中寒暄幻觉词的分段被扣分（幻觉越多该参数组合越差）。"""
+ # 数据：3 条含幻觉词的分段。
+ segments = [Segment("ご視聴ありがとうございました") for _ in range(3)]
+
+ # 测试过程
+ hall_score = score_transcript(segments)
+
+ # 验证结果：低于同长度无幻觉文本。
+ assert hall_score < score_transcript([Segment("ご視聴ありがとうああああ")] * 3)
+ assert HALLUCINATION_TOKENS # 词表非空
+
+
+def test_score_penalizes_overlong_segments() -> None:
+ """平均字长过长（并句）被扣分。"""
+ # 数据：3 条超长分段。
+ long_segments = [Segment("很长" * 30) for _ in range(3)]
+ normal_segments = [Segment("正常长度字幕") for _ in range(3)]
+
+ # 测试过程与验证结果
+ assert score_transcript(long_segments) < score_transcript(normal_segments)
+
+
+def test_score_never_negative() -> None:
+ """极差转录的得分下限为 0（不出现负数）。"""
+ # 数据：大量碎片 + 幻觉。
+ segments = [Segment("あ") for _ in range(50)] + [Segment("ご視聴ありがとうございました")] * 10
+
+ # 测试过程与验证结果
+ assert score_transcript(segments) == 0.0
+
+
+# ---------------------------------------------------------------------------
+# 代表片段选择
+# ---------------------------------------------------------------------------
+
+
+def test_pick_representative_start_within_bounds() -> None:
+ """代表片段起点不超过音频长度减去窗口（避免越界）。"""
+ # 数据：60 秒画像、30 秒窗口。
+ profile = AudioProfile(rms_bins=[100.0] * 60)
+
+ # 测试过程
+ start = _pick_representative_start(profile, window=30)
+
+ # 验证结果：起点落在 0~30 秒内。
+ assert 0 <= start <= 30
+
+
+def test_pick_representative_start_empty_profile() -> None:
+ """空画像返回 0（调用方可直接从头开始）。"""
+ # 数据：空 rms_bins。
+ # 测试过程与验证结果
+ assert _pick_representative_start(AudioProfile(), window=30) == 0
diff --git a/tests/nodes/test_vlm/__init__.py b/tests/nodes/test_vlm/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_vlm/data/ocr_notext.png b/tests/nodes/test_vlm/data/ocr_notext.png
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diff --git a/tests/nodes/test_vlm/data/ocr_text.png b/tests/nodes/test_vlm/data/ocr_text.png
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diff --git a/tests/nodes/test_vlm/data/test_real_hav_sub.png b/tests/nodes/test_vlm/data/test_real_hav_sub.png
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diff --git a/tests/nodes/test_vlm/test_ocr.py b/tests/nodes/test_vlm/test_ocr.py
new file mode 100644
index 0000000..29f421a
--- /dev/null
+++ b/tests/nodes/test_vlm/test_ocr.py
@@ -0,0 +1,410 @@
+"""nodes/vlm.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/vlm.py`（单帧 OCR：调 Ollama /api/chat 流式识别），可独立
+调用。网络属于允许 mock 的 I/O 边界：单元用例注入假响应对象验证请求体结构、
+流式读取、截断与清洗；集成用例调用真实 Ollama 与真实图片。
+"""
+
+from __future__ import annotations
+
+import json
+import socket
+import urllib.error
+import urllib.request
+from pathlib import Path
+
+import pytest
+
+from nodes.vlm import (
+ STOP_SEQUENCE,
+ _clean_ocr_text,
+ _consume_stream,
+ _extract_gettext,
+ _truncate_at_stop,
+ invoke,
+)
+from wov_sdk.models import InvokeRequest
+
+# 模块专用真实素材：有文字帧 / 无文字帧 / 真实视频字幕截图。
+DATA_DIR = Path(__file__).resolve().parent / "data"
+TEXT_IMAGE = DATA_DIR / "ocr_text.png"
+NOTEXT_IMAGE = DATA_DIR / "ocr_notext.png"
+REAL_SUBTITLE_IMAGE = DATA_DIR / "test_real_hav_sub.png"
+
+# 集成测试期望识别出的真实字幕文本。
+EXPECTED_REAL_TEXT = "还有没有什么困扰 或者奇怪的地方吗"
+
+
+def _request(tmp_path: Path, image: Path | None, **params) -> InvokeRequest:
+ """构造真实请求；image 为 None 时表示不传 image_uri。"""
+ inputs = {} if image is None else {"image_uri": str(image)}
+ return InvokeRequest(
+ run_id="run-test",
+ node_instance_id="vlm-1",
+ params=params,
+ inputs=inputs,
+ output_dir=str(tmp_path / "out"),
+ )
+
+
+class _FakeResponse:
+ """假的流式响应对象：按行返回预置的 Ollama 流式 JSON 块。"""
+
+ def __init__(self, lines: list[bytes]) -> None:
+ self._lines = list(lines)
+
+ def readline(self) -> bytes:
+ """返回下一行；耗尽后返回空字节（模拟流结束）。"""
+ return self._lines.pop(0) if self._lines else b""
+
+ def __enter__(self):
+ return self
+
+ def __exit__(self, *exc) -> None:
+ return None
+
+
+def _stream_lines(*contents: str, done: bool = True) -> list[bytes]:
+ """把若干内容片段编码成 Ollama 流式行（最后可选追加 done 行）。"""
+ lines = [
+ json.dumps({"message": {"content": c}}).encode("utf-8") for c in contents
+ ]
+ if done:
+ lines.append(json.dumps({"done": True}).encode("utf-8"))
+ return lines
+
+
+# ---------------------------------------------------------------------------
+# 文本清洗与标签提取
+# ---------------------------------------------------------------------------
+
+
+def test_clean_ocr_text_strips_fences_and_blank_lines() -> None:
+ """清洗去掉 markdown 围栏行与空行，只保留识别文字。"""
+ # 数据：glm-ocr 典型输出（识别文本后追加大量围栏）。
+ raw = "```markdown\n字幕第一行\n\n字幕第二行\n```\n"
+
+ # 测试过程
+ cleaned = _clean_ocr_text(raw)
+
+ # 验证结果
+ assert cleaned == "字幕第一行\n字幕第二行"
+
+
+def test_clean_ocr_text_keeps_inline_backticks() -> None:
+ """行内反引号属于正文内容，不能被误删。"""
+ # 数据：正文含行内反引号。
+ raw = "输入 `git status` 查看状态"
+
+ # 测试过程与验证结果
+ assert _clean_ocr_text(raw) == "输入 `git status` 查看状态"
+
+
+def test_extract_gettext_takes_first_tag_to_avoid_loops() -> None:
+ """多个 标签时只取第一个（防重复循环）。"""
+ # 数据：两个标签，模型循环输出了两次。
+ raw = "正确文本正确文本"
+
+ # 测试过程与验证结果
+ assert _extract_gettext(raw) == "正确文本"
+
+
+def test_extract_gettext_falls_back_to_raw_without_tags() -> None:
+ """模型未按格式输出标签时回退原文。"""
+ # 数据：无标签的纯文本。
+ # 测试过程与验证结果
+ assert _extract_gettext("没有标签的文本") == "没有标签的文本"
+
+
+def test_truncate_at_stop_cuts_at_earliest_sequence() -> None:
+ """在最早命中的终止序列处截断（换行优先于"答"）。"""
+ # 数据：文本中包含换行与"答"。
+ raw = "识别结果\n答：多余内容"
+
+ # 测试过程与验证结果
+ assert _truncate_at_stop(raw) == "识别结果"
+
+
+def test_truncate_at_stop_returns_raw_when_no_match() -> None:
+ """未命中终止序列时原样返回。"""
+ # 数据：不含任何终止序列。
+ # 测试过程与验证结果
+ assert _truncate_at_stop("普通文本") == "普通文本"
+
+
+def test_stop_sequence_includes_newline_first() -> None:
+ """终止序列以换行为首（输出首个换行即停），并包含"答"类重复模式。"""
+ # 数据：模块常量。
+ # 测试过程与验证结果
+ assert STOP_SEQUENCE[0] == "\n"
+ assert "答" in STOP_SEQUENCE
+
+
+# ---------------------------------------------------------------------------
+# 流式读取
+# ---------------------------------------------------------------------------
+
+
+def test_consume_stream_joins_chunks() -> None:
+ """多块流式内容按序拼接返回。"""
+ # 数据：三个内容块 + done 行。
+ response = _FakeResponse(_stream_lines("前", "中", "后"))
+
+ # 测试过程
+ raw = _consume_stream(response, deadline=1e18)
+
+ # 验证结果
+ assert raw == "前中后"
+
+
+def test_consume_stream_stops_at_stop_sequence() -> None:
+ """命中终止序列后不再读取后续块（防止无限循环输出）。"""
+ # 数据：第一块已含换行，第二块是循环垃圾。
+ response = _FakeResponse(_stream_lines("识别结果\n", "循环垃圾"))
+
+ # 测试过程
+ raw = _consume_stream(response, deadline=1e18)
+
+ # 验证结果：只取到第一个块（含换行）。
+ assert raw == "识别结果\n"
+ assert "循环垃圾" not in raw
+
+
+def test_consume_stream_breaks_on_done_without_message() -> None:
+ """done 行不带 message 时视为正常结束，不报错。"""
+ # 数据：仅 done 行。
+ response = _FakeResponse([json.dumps({"done": True}).encode("utf-8")])
+
+ # 测试过程与验证结果
+ assert _consume_stream(response, deadline=1e18) == ""
+
+
+def test_consume_stream_raises_on_missing_message() -> None:
+ """既无 message 又无 done 的块属于格式错误，明确报错。"""
+ # 数据：一个非法块。
+ response = _FakeResponse([json.dumps({"unexpected": 1}).encode("utf-8")])
+
+ # 测试过程与验证结果
+ with pytest.raises(KeyError):
+ _consume_stream(response, deadline=1e18)
+
+
+def test_consume_stream_raises_on_deadline() -> None:
+ """超过整体截止时间立即终止（每次调用 5 秒上限）。"""
+ # 数据：截止时间已过。
+ response = _FakeResponse(_stream_lines("内容", done=False))
+
+ # 测试过程与验证结果
+ with pytest.raises(TimeoutError):
+ _consume_stream(response, deadline=0.0)
+
+
+# ---------------------------------------------------------------------------
+# invoke：请求体结构与产物
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_sends_system_prompt_and_image_only_user_message(monkeypatch, tmp_path: Path) -> None:
+ """请求体结构与 glm-ocr 期望一致：指令在 system，user 只带图片。"""
+ # 数据：捕获真实构造的 HTTP 请求体。
+ captured: dict = {}
+
+ def fake_urlopen(http_request, timeout=None):
+ captured["url"] = http_request.full_url
+ captured["body"] = json.loads(http_request.data.decode("utf-8"))
+ captured["timeout"] = timeout
+ return _FakeResponse(_stream_lines("识别文本"))
+
+ monkeypatch.setattr(urllib.request, "urlopen", fake_urlopen)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEXT_IMAGE, ollama_host="http://example:1"))
+
+ # 验证结果：URL、流式、系统提示词、user 只带 images、stop 与采样参数。
+ assert response.status == "completed", response.error
+ assert captured["url"] == "http://example:1/api/chat"
+ body = captured["body"]
+ assert body["stream"] is True
+ assert body["messages"][0]["role"] == "system"
+ assert body["messages"][0]["content"]
+ assert body["messages"][1]["content"] == ""
+ assert len(body["messages"][1]["images"]) == 1
+ assert body["stop"] == STOP_SEQUENCE
+ assert body["options"]["num_predict"] == 256
+ assert "keep_alive" in body
+
+
+def test_invoke_writes_ocr_artifact(monkeypatch, tmp_path: Path) -> None:
+ """识别结果写入 ocr.txt 并返回 text / text_uri 两个输出。
+
+ 真实调用约定：模型输出首个换行即停（stop=\"\\n\"），因此这里用单行输出；
+ 围栏清洗由 _clean_ocr_text 的独立用例覆盖。
+ """
+ # 数据：假响应返回单行识别结果 + 后续循环垃圾。
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ lambda *a, **k: _FakeResponse(_stream_lines("你好\n", "循环垃圾")),
+ )
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEXT_IMAGE))
+
+ # 验证结果：产物只含首个换行之前的内容。
+ assert response.status == "completed"
+ assert response.outputs["text"] == "你好"
+ artifact = Path(response.outputs["text_uri"])
+ assert artifact.read_text(encoding="utf-8").strip() == "你好"
+
+
+def test_invoke_options_are_overridable(monkeypatch, tmp_path: Path) -> None:
+ """temperature / repeat_penalty / num_predict 可被参数覆盖。"""
+ # 数据：捕获请求体。
+ captured: dict = {}
+
+ def fake_urlopen(http_request, timeout=None):
+ captured["body"] = json.loads(http_request.data.decode("utf-8"))
+ return _FakeResponse(_stream_lines("x"))
+
+ monkeypatch.setattr(urllib.request, "urlopen", fake_urlopen)
+
+ # 测试过程
+ invoke(_request(
+ tmp_path, TEXT_IMAGE,
+ temperature=0.9, repeat_penalty=1.5, num_predict=64, timeout_seconds=2,
+ ))
+
+ # 验证结果
+ options = captured["body"]["options"]
+ assert options["temperature"] == 0.9
+ assert options["repeat_penalty"] == 1.5
+ assert options["num_predict"] == 64
+
+
+def test_invoke_fails_without_image_uri(tmp_path: Path) -> None:
+ """缺少 image_uri 时返回 failed。"""
+ # 数据：空输入。
+ # 测试过程
+ response = invoke(_request(tmp_path, None))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "image_uri" in (response.error or "")
+
+
+def test_invoke_fails_when_image_missing(tmp_path: Path) -> None:
+ """图片文件不存在时提前失败，不发网络请求。"""
+ # 数据：不存在的图片路径。
+ # 测试过程
+ response = invoke(_request(tmp_path, tmp_path / "nope.png"))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "not found" in (response.error or "")
+
+
+def test_invoke_fails_on_network_error(monkeypatch, tmp_path: Path) -> None:
+ """连接失败时返回 failed 并带上错误信息（不抛异常到调度器外）。"""
+ # 数据：urlopen 抛 URLError。
+ def fake_urlopen(*a, **k):
+ raise urllib.error.URLError("connection refused")
+
+ monkeypatch.setattr(urllib.request, "urlopen", fake_urlopen)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEXT_IMAGE))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "connection refused" in (response.error or "")
+
+
+def test_invoke_fails_on_timeout(monkeypatch, tmp_path: Path) -> None:
+ """超时（socket.timeout）时返回 failed，而不是长时间挂起。"""
+ # 数据：urlopen 抛 socket.timeout。
+ def fake_urlopen(*a, **k):
+ raise socket.timeout("timed out")
+
+ monkeypatch.setattr(urllib.request, "urlopen", fake_urlopen)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEXT_IMAGE))
+
+ # 验证结果
+ assert response.status == "failed"
+
+
+def test_invoke_fails_on_malformed_stream(monkeypatch, tmp_path: Path) -> None:
+ """流式块格式错误时返回 failed。"""
+ # 数据：非法块。
+ monkeypatch.setattr(
+ urllib.request, "urlopen",
+ lambda *a, **k: _FakeResponse([json.dumps({"x": 1}).encode("utf-8")]),
+ )
+
+ # 测试过程
+ response = invoke(_request(tmp_path, TEXT_IMAGE))
+
+ # 验证结果
+ assert response.status == "failed"
+
+
+# ---------------------------------------------------------------------------
+# 真实模型集成
+# ---------------------------------------------------------------------------
+
+
+def _ollama_reachable(host: str = "http://192.168.123.70:11434", model: str = "glm-ocr:latest") -> bool:
+ """探测真实 Ollama 服务与目标模型是否可用（缺失即跳过集成测试）。"""
+ try:
+ request = urllib.request.Request(
+ f"{host}/api/show",
+ data=json.dumps({"model": model}).encode("utf-8"),
+ headers={"Content-Type": "application/json"},
+ method="POST",
+ )
+ with urllib.request.urlopen(request, timeout=5) as resp:
+ return resp.status == 200
+ except (urllib.error.URLError, OSError):
+ return False
+
+
+@pytest.mark.integration
+def test_vlm_ocr_real_model_on_real_subtitle_image(tmp_path: Path) -> None:
+ """真实 glm-ocr + 真实字幕截图：应识别出期望字幕文本，且无围栏垃圾。"""
+ # 数据：模块 data/ 下的真实字幕截图。
+ if not REAL_SUBTITLE_IMAGE.is_file():
+ pytest.skip(f"缺少测试资产 {REAL_SUBTITLE_IMAGE}，跳过")
+ if not _ollama_reachable():
+ pytest.skip("Ollama 服务或 glm-ocr 模型不可用，跳过真实模型集成测试")
+
+ # 测试过程
+ response = invoke(_request(
+ tmp_path, REAL_SUBTITLE_IMAGE,
+ model="glm-ocr:latest", ollama_host="http://192.168.123.70:11434",
+ ))
+
+ # 验证结果：包含期望文本（允许尾部重复循环被截断），且无围栏。
+ assert response.status == "completed", response.error
+ text = response.outputs["text"]
+ assert EXPECTED_REAL_TEXT in text, f"未识别出期望字幕：{text[:200]}"
+ assert "```" not in text
+
+
+@pytest.mark.integration
+def test_vlm_ocr_real_model_on_no_text_image(tmp_path: Path) -> None:
+ """真实无文字帧：模型不应输出画面描述文字（OCR 只提文字不做描述）。"""
+ # 数据：无文字测试图。
+ if not NOTEXT_IMAGE.is_file():
+ pytest.skip(f"缺少测试资产 {NOTEXT_IMAGE}，跳过")
+ if not _ollama_reachable():
+ pytest.skip("Ollama 服务或 glm-ocr 模型不可用，跳过真实模型集成测试")
+
+ # 测试过程
+ response = invoke(_request(
+ tmp_path, NOTEXT_IMAGE,
+ model="glm-ocr:latest", ollama_host="http://192.168.123.70:11434",
+ ))
+
+ # 验证结果：要么成功且文本很短（无文字），要么失败——都不应出现长描述。
+ if response.status == "completed":
+ assert len(response.outputs["text"].strip()) <= 40
diff --git a/tests/nodes/test_whisper/__init__.py b/tests/nodes/test_whisper/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/nodes/test_whisper/data/speech_60s.wav b/tests/nodes/test_whisper/data/speech_60s.wav
new file mode 100644
index 0000000..b4e4765
Binary files /dev/null and b/tests/nodes/test_whisper/data/speech_60s.wav differ
diff --git a/tests/nodes/test_whisper/test_transcribe.py b/tests/nodes/test_whisper/test_transcribe.py
new file mode 100644
index 0000000..5c6162b
--- /dev/null
+++ b/tests/nodes/test_whisper/test_transcribe.py
@@ -0,0 +1,545 @@
+"""nodes/whisper.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`nodes/whisper.py`（转写：模型解析 + 分块 + 时间轴合并 + 幻觉清洗
+入口），可独立调用。模型推理属允许替身的 I/O 边界：单元用例注入结构真实的
+假模型/假 ffmpeg；集成用例使用真实 faster-whisper 模型与真实语音。
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import shutil
+import subprocess
+import wave
+from pathlib import Path
+
+import pytest
+
+from nodes.ffmpeg import _ffmpeg_bin
+from nodes.whisper import (
+ _append_srt_lines,
+ _is_windows,
+ _load_cuda_libraries,
+ _local_model_candidates,
+ _wav_duration_seconds,
+ format_timestamp,
+ invoke,
+ resolve_model_path,
+)
+from wov_sdk.models import InvokeRequest
+
+# 模块专用真实素材：60 秒真实语音（16kHz 单声道 WAV）。
+DATA_DIR = Path(__file__).resolve().parent / "data"
+SPEECH_WAV = DATA_DIR / "speech_60s.wav"
+
+
+class FakeSegment:
+ """结构真实的 whisper 分段替身（start/end/text 与真实段一致）。"""
+
+ def __init__(self, start: float, end: float, text: str) -> None:
+ self.start = start
+ self.end = end
+ self.text = text
+
+
+class FakeInfo:
+ """结构真实的转写信息替身（含 language 字段）。"""
+
+ def __init__(self, language: str = "ja") -> None:
+ self.language = language
+
+
+class FakeModel:
+ """结构真实的假模型：按预置分段返回，并记录每次调用的参数。"""
+
+ def __init__(self, segments: list[FakeSegment]) -> None:
+ self._segments = segments
+ self.calls: list[dict] = []
+
+ def transcribe(self, audio, **kwargs):
+ self.calls.append({"audio": str(audio), **kwargs})
+ return iter(self._segments), FakeInfo()
+
+
+def _request(tmp_path: Path, audio: Path | None, **params) -> InvokeRequest:
+ """构造真实请求；audio 为 None 时表示不传 audio_uri。"""
+ inputs = {} if audio is None else {"audio_uri": str(audio)}
+ return InvokeRequest(
+ run_id="run-test",
+ node_instance_id="whisper-1",
+ params=params,
+ inputs=inputs,
+ output_dir=str(tmp_path / "out"),
+ )
+
+
+def _inject_model(monkeypatch, model: FakeModel) -> None:
+ """把假模型注入到 faster_whisper.WhisperModel（I/O 边界替身）。
+
+ 节点在 invoke 内部 `from faster_whisper import WhisperModel` 延迟导入，
+ 因此必须 patch 库模块上的名字，才能让真实调用路径拿到假模型。
+ """
+ import faster_whisper
+
+ monkeypatch.setattr(faster_whisper, "WhisperModel", lambda *a, **k: model)
+ # 假模型不需要真实权重，屏蔽 CUDA 库预加载以避免无 GPU 环境的副作用。
+ monkeypatch.setattr("nodes.whisper._load_cuda_libraries", lambda: None)
+
+
+# ---------------------------------------------------------------------------
+# 模型路径解析（本地优先）
+# ---------------------------------------------------------------------------
+
+
+def test_resolve_model_path_explicit_param_wins(tmp_path: Path) -> None:
+ """请求参数 model_path 优先级最高。"""
+ # 数据：显式路径（含分隔符，按原样返回）。
+ explicit = str(tmp_path / "custom-model")
+
+ # 测试过程与验证结果
+ assert resolve_model_path({"model_path": explicit}, env={}) == explicit
+
+
+def test_resolve_model_path_bare_name_resolves_locally(tmp_path: Path) -> None:
+ """裸模型名在本地 model/ 目录下解析（存在 model.bin 时）。"""
+ # 数据：构造 <模型目录>/<名称>/model.bin。
+ models_root = tmp_path / "model"
+ target = models_root / "my-model"
+ target.mkdir(parents=True)
+ (target / "model.bin").write_bytes(b"weights")
+ candidates = [models_root / "faster-whisper-large-v2"]
+
+ # 测试过程
+ resolved = resolve_model_path({"model_path": "my-model"}, env={}, candidates=candidates)
+
+ # 验证结果：解析到本地目录。
+ assert resolved == str(target)
+
+
+def test_resolve_model_path_env_used_when_no_param(tmp_path: Path) -> None:
+ """无参数时使用 WHISPER_MODEL_PATH 环境变量。"""
+ # 数据：环境变量指向真实存在的模型目录。
+ model_dir = tmp_path / "env-model"
+ model_dir.mkdir()
+ (model_dir / "model.bin").write_bytes(b"w")
+
+ # 测试过程与验证结果
+ assert resolve_model_path({}, env={"WHISPER_MODEL_PATH": str(model_dir)}) == str(model_dir)
+
+
+def test_resolve_model_path_prefers_complete_local_candidate(tmp_path: Path) -> None:
+ """无参数/环境变量时使用本地候选目录（含 model.bin 才算完整）。"""
+ # 数据：第一个候选缺失 model.bin，第二个完整。
+ broken = tmp_path / "broken"
+ broken.mkdir()
+ good = tmp_path / "good"
+ good.mkdir()
+ (good / "model.bin").write_bytes(b"w")
+
+ # 测试过程
+ resolved = resolve_model_path({}, env={}, candidates=[broken, good])
+
+ # 验证结果：跳过不完整候选，选中完整目录。
+ assert resolved == str(good)
+
+
+def test_resolve_model_path_falls_back_to_remote_name(tmp_path: Path) -> None:
+ """全部本地候选缺失时回退到可下载的模型名。"""
+ # 数据：空候选目录。
+ empty = tmp_path / "empty"
+ empty.mkdir()
+
+ # 测试过程与验证结果
+ assert resolve_model_path({}, env={}, candidates=[empty]) == "large-v2"
+
+
+def test_local_model_candidates_are_platform_paths() -> None:
+ """本地候选包含单体内置模型目录（跨平台用 pathlib 表达）。"""
+ # 数据：无。
+ # 测试过程
+ candidates = _local_model_candidates()
+
+ # 验证结果：非空且都是 Path。
+ assert candidates
+ assert all(isinstance(p, Path) for p in candidates)
+
+
+# ---------------------------------------------------------------------------
+# 时间戳与 WAV 时长
+# ---------------------------------------------------------------------------
+
+
+def test_format_timestamp_pads_and_handles_hours() -> None:
+ """时间戳格式化为 HH:MM:SS,mmm，毫秒与小时均正确。"""
+ # 数据：0、1.5、3661.004 秒。
+ # 测试过程与验证结果
+ assert format_timestamp(0) == "00:00:00,000"
+ assert format_timestamp(1.5) == "00:00:01,500"
+ assert format_timestamp(3661.004) == "01:01:01,004"
+
+
+def test_wav_duration_from_real_header(tmp_path: Path) -> None:
+ """WAV 时长按文件头精确计算（分块偏移依赖它，不能用假设块长）。"""
+ # 数据：3 秒合法 WAV。
+ path = tmp_path / "3s.wav"
+ with wave.open(str(path), "wb") as wav:
+ wav.setnchannels(1)
+ wav.setsampwidth(2)
+ wav.setframerate(16000)
+ wav.writeframes(b"\x00\x00" * 16000 * 3)
+
+ # 测试过程
+ duration = _wav_duration_seconds(path, fallback=99.0)
+
+ # 验证结果
+ assert duration == pytest.approx(3.0, abs=0.01)
+
+
+def test_wav_duration_falls_back_on_invalid_file(tmp_path: Path) -> None:
+ """非法 WAV 时回退到给定默认值（不抛异常中断整片转写）。"""
+ # 数据：非 WAV 内容。
+ path = tmp_path / "broken.wav"
+ path.write_bytes(b"not a wav")
+
+ # 测试过程与验证结果
+ assert _wav_duration_seconds(path, fallback=42.0) == 42.0
+
+
+# ---------------------------------------------------------------------------
+# SRT 行追加与时间轴偏移
+# ---------------------------------------------------------------------------
+
+
+def test_append_srt_lines_applies_offset_and_index() -> None:
+ """分块转写按块偏移平移时间轴，并延续 SRT 序号。"""
+ # 数据：一段本地时间 0~2 秒的分段，偏移 60 秒，起始序号 5。
+ segments = [FakeSegment(0.0, 2.0, "你好")]
+
+ # 测试过程
+ lines: list[str] = []
+ added = _append_srt_lines(lines, segments, offset=60.0, start_index=5)
+
+ # 验证结果：序号为 5，时间轴为 60~62 秒，返回本段新增条数 1。
+ assert added == 1
+ assert lines[0] == "5"
+ assert lines[1] == "00:01:00,000 --> 00:01:02,000"
+ assert lines[2] == "你好"
+
+
+def test_append_srt_lines_strips_segment_text() -> None:
+ """分段文本两端空白被去除（避免 SRT 正文带多余空格）。"""
+ # 数据：一条文本带首尾空格。
+ segments = [FakeSegment(1.0, 2.0, " 正常 ")]
+
+ # 测试过程
+ lines: list[str] = []
+ _append_srt_lines(lines, segments, offset=0.0, start_index=1)
+
+ # 验证结果：正文为去空白后的文本，序号为 1。
+ assert lines[0] == "1"
+ assert lines[2] == "正常"
+
+
+def test_append_srt_lines_continues_numbering_across_chunks() -> None:
+ """跨块调用时序号连续（调用方按上一块返回的条数累加）。"""
+ # 数据：两块各一段，第二块起始序号 = 1 + 第一块条数。
+ first: list[str] = []
+ added = _append_srt_lines(first, [FakeSegment(0, 1, "甲")], 0.0, 1)
+ second: list[str] = []
+ _append_srt_lines(second, [FakeSegment(0, 1, "乙")], 60.0, 1 + added)
+
+ # 验证结果：第二块序号为 2，时间轴带 60 秒偏移。
+ assert second[0] == "2"
+ assert second[1].startswith("00:01:00,000")
+
+
+# ---------------------------------------------------------------------------
+# 平台分支
+# ---------------------------------------------------------------------------
+
+
+def test_is_windows_flag_matches_platform() -> None:
+ """_is_windows 反映当前平台（测试需同时可在 Windows 与 Linux 运行）。"""
+ # 数据：当前运行平台。
+ # 测试过程与验证结果
+ assert _is_windows() == (os.name == "nt")
+
+
+def test_load_cuda_libraries_is_noop_off_windows(tmp_path: Path, monkeypatch) -> None:
+ """非 Windows 平台加载 CUDA 库为无操作（Linux 由系统/venv 提供）。"""
+ # 数据：强制 _is_windows 为 False。
+ monkeypatch.setattr("nodes.whisper._is_windows", lambda: False)
+
+ # 测试过程与验证结果：不抛异常。
+ _load_cuda_libraries()
+
+
+def test_load_cuda_libraries_scans_site_packages_on_windows(tmp_path: Path, monkeypatch) -> None:
+ """Windows 下扫描 site-packages/nvidia/*/bin 并注册 DLL 搜索目录。"""
+ # 数据：伪造含 cublas/cudnn/cuda_nvrtc 三个厂商 bin 目录的 site-packages。
+ site = tmp_path / "site-packages"
+ vendors = ("cublas", "cudnn", "cuda_nvrtc")
+ for package in vendors:
+ bin_dir = site / "nvidia" / package / "bin"
+ bin_dir.mkdir(parents=True)
+ (bin_dir / f"{package}.dll").write_bytes(b"dll")
+ added: list[str] = []
+ monkeypatch.setattr("nodes.whisper._is_windows", lambda: True)
+ monkeypatch.setattr("nodes.whisper.sysconfig.get_paths", lambda: {"purelib": str(site)})
+ monkeypatch.setattr("os.add_dll_directory", added.append, raising=False)
+
+ # 测试过程
+ _load_cuda_libraries()
+
+ # 验证结果：三个厂商的 bin 目录都被加入 DLL 搜索路径。
+ assert len(added) == len(vendors)
+ assert all("nvidia" in path for path in added)
+
+
+def test_load_cuda_libraries_skips_missing_vendor_dirs(tmp_path: Path, monkeypatch) -> None:
+ """厂商目录不存在时跳过，不报错（部分轮子未安装）。"""
+ # 数据：只有 cublas 一个厂商目录。
+ site = tmp_path / "site-packages"
+ (site / "nvidia" / "cublas" / "bin").mkdir(parents=True)
+ added: list[str] = []
+ monkeypatch.setattr("nodes.whisper._is_windows", lambda: True)
+ monkeypatch.setattr("nodes.whisper.sysconfig.get_paths", lambda: {"purelib": str(site)})
+ monkeypatch.setattr("os.add_dll_directory", added.append, raising=False)
+
+ # 测试过程
+ _load_cuda_libraries()
+
+ # 验证结果：只注册存在的那一个。
+ assert len(added) == 1
+
+
+# ---------------------------------------------------------------------------
+# invoke：分块转写与合并（假模型）
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_transcribes_with_fake_model_and_writes_srt(tmp_path: Path, monkeypatch) -> None:
+ """invoke 调用模型转写并写出 SRT（结构真实的分段替身）。"""
+ # 数据：真实 WAV 输入 + 假模型返回两段。
+ assert SPEECH_WAV.is_file(), f"缺少测试素材 {SPEECH_WAV}"
+ model = FakeModel([FakeSegment(0.0, 2.0, "第一句"), FakeSegment(2.5, 4.0, "第二句")])
+ _inject_model(monkeypatch, model)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, SPEECH_WAV, chunk_seconds=0))
+
+ # 验证结果：产物存在且含两段文本与时间轴。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "第一句" in content and "第二句" in content
+ assert "00:00:00,000 --> 00:00:02,000" in content
+ assert content.index("第一句") < content.index("第二句")
+
+
+def test_invoke_passes_params_to_model(tmp_path: Path, monkeypatch) -> None:
+ """节点参数透传到模型调用（language/task/beam_size 等）。"""
+ # 数据：指定语言与任务。
+ model = FakeModel([FakeSegment(0.0, 1.0, "x")])
+ _inject_model(monkeypatch, model)
+
+ # 测试过程
+ invoke(_request(
+ tmp_path, SPEECH_WAV, chunk_seconds=0,
+ language="ja", task="translate", beam_size=3, vad_filter=False,
+ condition_on_previous_text=False,
+ ))
+
+ # 验证结果：模型收到对应参数。
+ call = model.calls[0]
+ assert call["language"] == "ja"
+ assert call["task"] == "translate"
+ assert call["beam_size"] == 3
+ assert call["vad_filter"] is False
+
+
+def test_invoke_default_vad_and_condition_flags(tmp_path: Path, monkeypatch) -> None:
+ """默认 vad_filter=True 且 condition_on_previous_text=False（防重复）。"""
+ # 数据：不传相关参数。
+ model = FakeModel([FakeSegment(0.0, 1.0, "x")])
+ _inject_model(monkeypatch, model)
+
+ # 测试过程
+ invoke(_request(tmp_path, SPEECH_WAV, chunk_seconds=0))
+
+ # 验证结果
+ assert model.calls[0]["vad_filter"] is True
+ assert model.calls[0]["condition_on_previous_text"] is False
+
+
+def test_invoke_fails_without_audio_uri(tmp_path: Path) -> None:
+ """缺少 audio_uri 时失败。"""
+ # 数据：空输入。
+ # 测试过程
+ response = invoke(_request(tmp_path, None))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "audio_uri" in (response.error or "")
+
+
+def test_invoke_fails_when_audio_missing(tmp_path: Path) -> None:
+ """音频文件不存在时失败。"""
+ # 数据：不存在的路径。
+ # 测试过程
+ response = invoke(_request(tmp_path, tmp_path / "nope.wav"))
+
+ # 验证结果
+ assert response.status == "failed"
+ assert "not found" in (response.error or "")
+
+
+def test_invoke_cleans_japanese_hallucination_in_decode_full(tmp_path: Path, monkeypatch) -> None:
+ """decode_full 模式下，长时日语寒暄幻觉整条删除（不留下 '-' 占位）。"""
+ # 数据：假模型返回一段 30 秒的"おやすみなさい"。
+ model = FakeModel([FakeSegment(0.0, 30.0, "おやすみなさい")])
+ _inject_model(monkeypatch, model)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, SPEECH_WAV, chunk_seconds=0, decode_full=True))
+
+ # 验证结果：幻觉被删除，产物无该文本。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "おやすみなさい" not in content
+
+
+def test_invoke_filters_short_moan_in_decode_full(tmp_path: Path, monkeypatch) -> None:
+ """decode_full 模式下短呻吟碎片被过滤，真实短对话保留。"""
+ # 数据：呻吟碎片 + 真实短对话。
+ model = FakeModel([
+ FakeSegment(0.0, 1.0, "あ…"),
+ FakeSegment(1.5, 3.0, "そこ、だめ"),
+ ])
+ _inject_model(monkeypatch, model)
+
+ # 测试过程
+ response = invoke(_request(tmp_path, SPEECH_WAV, chunk_seconds=0, decode_full=True))
+
+ # 验证结果：呻吟被删，真实对话保留。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "そこ、だめ" in content
+ assert "あ…" not in content
+
+
+def test_invoke_keeps_moan_when_filter_disabled(tmp_path: Path, monkeypatch) -> None:
+ """short_moan_max_chars=0 时关闭呻吟过滤。"""
+ # 数据：一条呻吟。
+ model = FakeModel([FakeSegment(0.0, 1.0, "あ…")])
+ _inject_model(monkeypatch, model)
+
+ # 测试过程
+ response = invoke(_request(
+ tmp_path, SPEECH_WAV, chunk_seconds=0, decode_full=True, short_moan_max_chars=0,
+ ))
+
+ # 验证结果：呻吟保留。
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ assert "あ…" in content
+
+
+# ---------------------------------------------------------------------------
+# 真实模型集成
+# ---------------------------------------------------------------------------
+
+
+# 已废弃的模型目录（不得用于测试）：V3 已全面停用，全部改用 V2。
+_DEPRECATED_MODEL_DIRS = ("faster-whisper-large-v3",)
+
+
+def _v2_model_candidates() -> list[Path]:
+ """返回可用的 V2 权重目录（排除已废弃的 V3）。
+
+ 解析顺序：
+ 1. `nodes.whisper` 文档化的默认候选（通用 V2 转写模型）；
+ 2. `model/` 下其它已下载的 V2 权重（例如中文直出模型）。
+ V3 权重已全面停用（用户 2026-09 决定：均改用 V2），即使留在盘上也不得
+ 被测试使用，否则测的不是线上实际运行的模型。
+ """
+ candidates = [p for p in _local_model_candidates() if p.name not in _DEPRECATED_MODEL_DIRS]
+ model_root = Path(__file__).resolve().parents[3] / "model"
+ if model_root.is_dir():
+ for path in sorted(model_root.iterdir()):
+ if not path.is_dir() or path.name in _DEPRECATED_MODEL_DIRS:
+ continue
+ # V3 的判据：preprocessor_config.json 的 feature_size == 128。
+ if _is_v3_weights(path):
+ continue
+ candidates.append(path)
+ return candidates
+
+
+def _is_v3_weights(model_dir: Path) -> bool:
+ """按 preprocessor_config.json 的 feature_size 判断是否为 V3 权重。
+
+ Whisper V2 的 mel 特征维度是 80，V3 是 128；这是区分两代权重的稳定判据
+ （目录名可能被人工改名，不能只靠名字判断）。
+ """
+ import json
+
+ config = model_dir / "preprocessor_config.json"
+ if not config.is_file():
+ return False
+ try:
+ return int(json.loads(config.read_text(encoding="utf-8")).get("feature_size", 80)) == 128
+ except (ValueError, TypeError, OSError):
+ return False
+
+
+def _real_model_available() -> Path | None:
+ """返回一个可用的 V2 权重目录（缺失则返回 None 供跳过）。"""
+ for candidate in _v2_model_candidates():
+ if candidate.is_dir() and (candidate / "model.bin").is_file():
+ return candidate
+ return None
+
+
+@pytest.mark.integration
+def test_real_whisper_transcribes_real_speech(tmp_path: Path) -> None:
+ """真实 faster-whisper 模型 + 真实语音：端到端转写产出可用 SRT。
+
+ 本地无模型或素材时跳过；有则必须执行，作为假模型单测的校准。
+ """
+ # 数据：模块 data/ 下的真实 60 秒语音。
+ if not SPEECH_WAV.is_file():
+ pytest.skip(f"缺少测试素材 {SPEECH_WAV}")
+ model_dir = _real_model_available()
+ if model_dir is None:
+ pytest.skip("本地没有完整 whisper 权重，跳过真实模型集成测试")
+ # 显存不足时跳过（真实模型推理需要显存，属外部环境状态）。
+ from tests.shared.gpu_memory import (
+ fits_with_margin,
+ require_gpu_memory,
+ require_node_result,
+ )
+
+ require_gpu_memory(model_dir)
+ # 分块路径（生产默认）会产生更多分配峰值，在临界显存卡上易触发 CUDA OOM；
+ # 显存充裕时走分块覆盖该路径，否则退化为整段单次推理。
+ chunk_seconds = 20 if fits_with_margin(model_dir) else 0
+
+ # 测试过程：真实模型转写真实语音。
+ response = invoke(_request(
+ tmp_path, SPEECH_WAV, chunk_seconds=chunk_seconds, language="ja",
+ model_path=str(model_dir),
+ ))
+
+ # 验证结果：成功、产物为合法 SRT、时间轴递增且不超音频时长。
+ require_node_result(response, model_dir)
+ assert response.status == "completed", response.error
+ content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
+ timelines = [line for line in content.splitlines() if "-->" in line]
+ assert timelines, "真实转写应产出至少一条字幕"
+ from tests.shared.srt_entries import parse_srt_entries
+
+ entries = parse_srt_entries(content)
+ starts = [e["start"] for e in entries]
+ assert starts == sorted(starts)
+ assert max(starts) <= 62.0
diff --git a/tests/sdk/__init__.py b/tests/sdk/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/sdk/test_models/__init__.py b/tests/sdk/test_models/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/sdk/test_models/test_models.py b/tests/sdk/test_models/test_models.py
new file mode 100644
index 0000000..26a2713
--- /dev/null
+++ b/tests/sdk/test_models/test_models.py
@@ -0,0 +1,304 @@
+"""src/wov_sdk/models.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`src/wov_sdk/models.py`（协议数据模型：节点清单、调用请求/响应、
+工作流 DAG），是全部节点与平台之间的长期稳定契约，可独立调用。
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from wov_sdk.models import (
+ HealthResponse,
+ InvokeRequest,
+ InvokeResponse,
+ NodeManifest,
+ ProgressEvent,
+ WorkflowDefinition,
+ WorkflowEdge,
+ WorkflowNode,
+)
+
+# 仓库根与真实清单目录。
+WORKSPACE = Path(__file__).resolve().parents[3]
+MANIFESTS_DIR = WORKSPACE / "manifests"
+
+
+# ---------------------------------------------------------------------------
+# NodeManifest
+# ---------------------------------------------------------------------------
+
+
+def test_manifest_loads_from_real_json_file() -> None:
+ """真实 manifests/*.json 可被加载为清单对象（含必填字段）。"""
+ # 数据：仓库真实清单（echo 节点）。
+ path = MANIFESTS_DIR / "echo.json"
+ assert path.is_file()
+
+ # 测试过程
+ manifest = NodeManifest.load(str(path))
+
+ # 验证结果
+ assert manifest.id == "echo"
+ assert manifest.name
+ assert manifest.version
+ assert manifest.capability
+
+
+@pytest.mark.parametrize("manifest_file", ["echo.json", "whisper.json", "vlm.json", "ass.json"])
+def test_all_real_manifests_validate(manifest_file: str) -> None:
+ """全部真实节点清单通过协议校验（注册表依赖此校验）。"""
+ # 数据：真实清单文件。
+ # 测试过程
+ manifest = NodeManifest.load(str(MANIFESTS_DIR / manifest_file))
+
+ # 验证结果：校验不抛异常且 ID 非空。
+ manifest.validate()
+ assert manifest.id
+
+
+def test_manifest_validate_rejects_empty_id() -> None:
+ """空 ID 视为非法（节点注册表以 ID 为键）。"""
+ # 数据：ID 为空的清单。
+ manifest = NodeManifest(id="", name="x", version="1", capability="c", command=["python"])
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError):
+ manifest.validate()
+
+
+def test_manifest_validate_rejects_empty_version() -> None:
+ """空版本号非法（版本与节点仓库 tag 绑定）。"""
+ # 数据：版本为空的清单。
+ manifest = NodeManifest(id="n", name="x", version="", capability="c", command=["python"])
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError):
+ manifest.validate()
+
+
+def test_manifest_round_trip_dict() -> None:
+ """清单 to_dict/from_dict 往返保持字段一致（协议序列化稳定）。"""
+ # 数据：完整清单。
+ manifest = NodeManifest(
+ id="n1", name="节点", version="1.2.3", capability="cap",
+ command=["python", "-m", "n1"], repo_dir="nodes",
+ env={"A": "1"}, input_schema={"in": "file"}, output_schema={"out": "file"},
+ max_concurrency=2, idle_ttl_seconds=100, health_timeout_seconds=5, keep_warm=True,
+ )
+
+ # 测试过程
+ restored = NodeManifest.from_dict(manifest.to_dict())
+
+ # 验证结果
+ assert restored.to_dict() == manifest.to_dict()
+
+
+def test_manifest_rejects_unknown_required_field() -> None:
+ """缺少必填字段的字典加载时报错（不静默使用默认值）。"""
+ # 数据：缺 capability。
+ payload = {"id": "n", "name": "x", "version": "1", "command": ["python"]}
+
+ # 测试过程与验证结果
+ with pytest.raises((KeyError, TypeError, ValueError)):
+ NodeManifest.from_dict(payload)
+
+
+# ---------------------------------------------------------------------------
+# InvokeRequest / InvokeResponse
+# ---------------------------------------------------------------------------
+
+
+def test_invoke_request_defaults_and_round_trip() -> None:
+ """调用请求的默认输出目录为当前目录，序列化往返一致。"""
+ # 数据：最小请求。
+ request = InvokeRequest(run_id="r1", node_instance_id="n1")
+
+ # 测试过程
+ restored = InvokeRequest.from_dict(request.to_dict())
+
+ # 验证结果
+ assert request.output_dir == "."
+ assert restored.inputs == {} and restored.params == {}
+ assert restored.run_id == "r1"
+
+
+def test_invoke_response_success_and_failure_shapes() -> None:
+ """响应分成功（outputs）与失败（error）两种形态，序列化保留状态。"""
+ # 数据：成功与失败各一。
+ ok = InvokeResponse(status="completed", outputs={"text": "hi"})
+ bad = InvokeResponse(status="failed", error="boom")
+
+ # 测试过程
+ ok_round = InvokeResponse.from_dict(ok.to_dict())
+ bad_round = InvokeResponse.from_dict(bad.to_dict())
+
+ # 验证结果
+ assert ok_round.outputs == {"text": "hi"} and ok_round.error is None
+ assert bad_round.status == "failed" and bad_round.error == "boom"
+
+
+def test_invoke_response_defaults() -> None:
+ """响应默认字段为空（避免 None 参与下游拼接）。"""
+ # 数据：仅给状态。
+ response = InvokeResponse(status="completed")
+
+ # 测试过程与验证结果
+ assert response.outputs == {}
+ assert response.error is None
+
+
+# ---------------------------------------------------------------------------
+# HealthResponse / ProgressEvent
+# ---------------------------------------------------------------------------
+
+
+def test_health_response_round_trip() -> None:
+ """健康响应字段往返一致（节点身份与版本，无 from_dict 时按字典比对）。"""
+ # 数据：健康响应。
+ health = HealthResponse(status="ok", node_id="echo", version="0.1.0")
+
+ # 测试过程
+ payload = health.to_dict()
+
+ # 验证结果：包含状态、节点 ID 与版本。
+ assert payload == {"status": "ok", "node_id": "echo", "version": "0.1.0"}
+
+
+def test_progress_event_round_trip() -> None:
+ """进度事件含运行、节点、进度值与消息。"""
+ # 数据：一个进度事件。
+ event = ProgressEvent(run_id="r1", node_id="asr", progress=0.5, message="转写中")
+
+ # 测试过程
+ payload = event.to_dict()
+
+ # 验证结果
+ assert payload == {
+ "run_id": "r1", "node_id": "asr", "progress": 0.5, "message": "转写中",
+ }
+
+
+# ---------------------------------------------------------------------------
+# WorkflowNode / WorkflowEdge / WorkflowDefinition
+# ---------------------------------------------------------------------------
+
+
+def test_workflow_node_preserves_all_params_keys() -> None:
+ """节点的 params 完整保留（含 `_note_*` 参数说明键，不被清洗）。"""
+ # 数据：含说明键的参数。
+ payload = {
+ "id": "asr", "node_type": "faster-whisper",
+ "inputs": {"audio_uri": "extract.audio_uri"},
+ "params": {"chunk_seconds": 60, "_note_chunk_seconds": "分块理由", "_node_help": "手册"},
+ }
+
+ # 测试过程
+ node = WorkflowNode.from_dict(payload)
+
+ # 验证结果：参数与说明键都在。
+ assert node.params["chunk_seconds"] == 60
+ assert node.params["_note_chunk_seconds"] == "分块理由"
+ assert node.params["_node_help"] == "手册"
+ assert node.to_dict()["params"] == payload["params"]
+
+
+def test_workflow_edge_round_trip() -> None:
+ """边记录来源与目标节点，输出使用 from/to 短字段名。"""
+ # 数据：一条边。
+ edge = WorkflowEdge.from_dict({"from": "a", "to": "b"})
+
+ # 测试过程与验证结果
+ assert edge.from_node == "a"
+ assert edge.to_node == "b"
+ assert edge.to_dict() == {"from": "a", "to": "b"}
+
+
+def test_workflow_definition_validate_accepts_valid_dag() -> None:
+ """合法 DAG 通过结构校验。"""
+ # 数据：a → b 线性链。
+ definition = WorkflowDefinition.from_dict({
+ "name": "流程", "version": 1,
+ "nodes": [
+ {"id": "a", "node_type": "echo", "inputs": {}},
+ {"id": "b", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
+ ],
+ "edges": [{"from": "a", "to": "b"}],
+ "entry_inputs": {"video_uri": "file"},
+ "final_outputs": {"out": "b.file_uri"},
+ })
+
+ # 测试过程与验证结果：不抛异常。
+ definition.validate()
+
+
+def test_workflow_definition_validate_rejects_duplicate_node_ids() -> None:
+ """节点 ID 重复被拒绝。"""
+ # 数据：两个同 ID 节点。
+ definition = WorkflowDefinition.from_dict({
+ "name": "流程", "version": 1,
+ "nodes": [{"id": "a", "node_type": "echo", "inputs": {}}, {"id": "a", "node_type": "echo", "inputs": {}}],
+ "edges": [],
+ })
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError):
+ definition.validate()
+
+
+def test_workflow_definition_validate_rejects_edge_to_unknown_node() -> None:
+ """边引用不存在的节点被拒绝。"""
+ # 数据：边指向 ghost。
+ definition = WorkflowDefinition.from_dict({
+ "name": "流程", "version": 1,
+ "nodes": [{"id": "a", "node_type": "echo", "inputs": {}}],
+ "edges": [{"from": "a", "to": "ghost"}],
+ })
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError):
+ definition.validate()
+
+
+def test_workflow_definition_validate_rejects_empty_name() -> None:
+ """名称为空被拒绝。"""
+ # 数据：空名称。
+ definition = WorkflowDefinition.from_dict({
+ "name": "", "version": 1, "nodes": [], "edges": [],
+ })
+
+ # 测试过程与验证结果
+ with pytest.raises(ValueError):
+ definition.validate()
+
+
+def test_workflow_definition_round_trip_is_json_safe() -> None:
+ """定义可安全 JSON 序列化（工作流以 JSON 存库/传输）。"""
+ # 数据：含中文名称与参数的完整定义。
+ definition = WorkflowDefinition.from_dict(json.loads(
+ (WORKSPACE / "workflows" / "ocr-subtitle.json").read_text(encoding="utf-8")
+ )["definition"])
+
+ # 测试过程
+ payload = definition.to_dict()
+ text = json.dumps(payload, ensure_ascii=False)
+
+ # 验证结果：往返一致且是合法 JSON 字符串。
+ assert WorkflowDefinition.from_dict(json.loads(text)).to_dict() == payload
+
+
+def test_real_builtin_workflows_are_valid() -> None:
+ """仓库全部内置工作流定义通过协议校验（数据资产可用）。"""
+ # 数据：真实 workflows/*.json。
+ files = sorted((WORKSPACE / "workflows").glob("*.json"))
+ assert files, "仓库应包含内置工作流定义"
+
+ # 测试过程与验证结果
+ for path in files:
+ payload = json.loads(path.read_text(encoding="utf-8"))
+ definition = WorkflowDefinition.from_dict(payload["definition"])
+ definition.validate()
+ assert definition.nodes, f"{path.name} 不应为空定义"
diff --git a/tests/shared/__init__.py b/tests/shared/__init__.py
new file mode 100644
index 0000000..342a169
--- /dev/null
+++ b/tests/shared/__init__.py
@@ -0,0 +1,18 @@
+"""测试公共设施包（供各模块测试复用，不含业务断言与隐式全局副作用）。
+
+本包提供三类公共能力，供需要真实数据或环境隔离的模块测试使用：
+
+1. `realdata_contract`：真实数据契约（时间对齐素材、提示词规则素材的探查
+ 与量化工具），只读取用户提供的真实文件，缺失时测试整体跳过；
+2. `env_isolation`：环境与临时目录隔离，让依赖 `wov_app.config` 路径常量的
+ 模块测试可以自建独立数据目录，不依赖全局 conftest；
+3. `srt_entries`：SRT 条目解析（秒为单位），供参考字幕与产物字幕共用。
+
+规则要求：模块专用数据放各模块目录下的 `data/`，本包只放真正跨模块复用的
+工具与跨模块共享素材（`tests/shared/data/`）。本包**不注册 pytest 钩子**，
+隔离能力由各模块测试显式调用，保证每个模块目录可独立运行。
+"""
+
+from __future__ import annotations
+
+__all__: list[str] = []
diff --git a/tests/shared/conftest.py b/tests/shared/conftest.py
new file mode 100644
index 0000000..0383aae
--- /dev/null
+++ b/tests/shared/conftest.py
@@ -0,0 +1,19 @@
+"""公共设施包的 pytest 配置（仅测试进程级隔离，不注册 autouse fixture）。
+
+由于 `wov_app.config` 在导入时锁定路径常量，这里在 pytest 启动早期把应用
+数据目录指向进程级临时目录，避免任何测试写入真实 `data/`。该配置属于
+`tests/shared/` 包本身，不构成"模块测试依赖外部配置"：模块目录内的用例
+如需自己的临时目录，仍在模块 fixture 中用 `env_isolation` 显式创建。
+"""
+
+from __future__ import annotations
+
+import atexit
+
+from tests.shared import env_isolation
+
+# 进程启动即隔离，保证后续任何 import wov_app.config 都拿到测试路径。
+_ROOT = env_isolation.configure_environment()
+
+# 进程退出时清理临时目录。
+atexit.register(env_isolation.cleanup_data_root, _ROOT)
diff --git a/tests/shared/data/alignment/ATID-642_2min.reference.srt b/tests/shared/data/alignment/ATID-642_2min.reference.srt
new file mode 100644
index 0000000..e104e67
--- /dev/null
+++ b/tests/shared/data/alignment/ATID-642_2min.reference.srt
@@ -0,0 +1,103 @@
+7
+00:00:17,766 --> 00:00:21,828
+辛苦了 上午的检查已经OK了
+
+16
+00:00:31,980 --> 00:00:34,011
+谢谢你 松井小姐
+
+17
+00:00:34,010 --> 00:00:37,564
+还有没有什么困扰 或者奇怪的地方吗
+
+18
+00:00:38,071 --> 00:00:39,594
+没问题啦
+
+19
+00:00:39,594 --> 00:00:42,640
+总感觉果林前辈每次都会问这个呢
+
+20
+00:00:42,640 --> 00:00:43,148
+总感觉果林前辈 每次都会问这个呢
+
+21
+00:00:43,147 --> 00:00:46,193
+是呢 抱歉
+
+22
+00:00:48,223 --> 00:00:49,239
+V
+
+23
+00:00:49,239 --> 00:00:51,777
+那么 松井小姐
+
+24
+00:00:51,777 --> 00:00:52,792
+V
+
+25
+00:00:52,792 --> 00:00:55,838
+你来我们医院也才一个月吧
+
+26
+00:00:56,345 --> 00:00:59,391
+记得挺快嘛 没有啦
+
+27
+00:01:00,914 --> 00:01:04,467
+因为果林前辈教得好呀
+
+28
+00:01:04,467 --> 00:01:08,527
+因为 你和患者们 也已经完全打成一片了
+
+29
+00:01:09,036 --> 00:01:11,574
+我是北冈果林
+
+30
+00:01:11,574 --> 00:01:16,143
+在这家综合医院工作的护士
+
+31
+00:01:16,650 --> 00:01:19,188
+她叫松井日奈子
+
+32
+00:01:19,188 --> 00:01:24,264
+是一个月前开始 在这间医院工作的新人护士
+
+33
+00:01:25,279 --> 00:01:28,324
+上吧 上吧
+
+34
+00:01:28,832 --> 00:01:33,908
+不行 受不了 好了 上吧
+
+35
+00:01:37,462 --> 00:01:40,000
+状态不错
+
+36
+00:01:40,000 --> 00:01:42,538
+请进
+
+37
+00:01:47,107 --> 00:01:49,645
+早安
+
+38
+00:01:50,660 --> 00:01:52,183
+金山先生
+
+39
+00:01:52,183 --> 00:01:57,259
+昨晚你住院时我不在没能照顾到你非常抱歉
+
+40
+00:01:57,259 --> 00:02:00,304
+我是医务室长权藤 请多关照
diff --git a/tests/shared/data/alignment/CJOD-255-长视频.reference.srt b/tests/shared/data/alignment/CJOD-255-长视频.reference.srt
new file mode 100644
index 0000000..0430d77
--- /dev/null
+++ b/tests/shared/data/alignment/CJOD-255-长视频.reference.srt
@@ -0,0 +1,4591 @@
+1
+00:00:18,519 --> 00:00:20,521
+欢迎光临本店
+
+2
+00:00:22,022 --> 00:00:27,528
+我将全心全意为客人服务
+
+3
+00:00:30,030 --> 00:00:37,038
+今天尽情享受到你满足为止
+
+4
+00:01:51,111 --> 00:01:55,116
+我是今天为你服务的茉莉亚
+
+5
+00:01:55,616 --> 00:01:57,618
+请多多指教
+
+6
+00:02:02,122 --> 00:02:05,626
+首先先脱衣服吧
+
+7
+00:02:11,131 --> 00:02:14,135
+今天刚下班吗
+
+8
+00:02:21,141 --> 00:02:23,644
+抱歉 我帮你脱
+
+9
+00:02:26,146 --> 00:02:27,648
+非常感谢
+
+10
+00:02:37,658 --> 00:02:40,661
+你的身体很热呢
+
+11
+00:02:42,663 --> 00:02:44,665
+工作一定很累吧
+
+12
+00:02:46,667 --> 00:02:49,670
+你是第一次来这种店吗
+
+13
+00:02:53,674 --> 00:02:55,176
+很紧张吗
+
+14
+00:02:55,175 --> 00:02:56,677
+有问题就要说哦
+
+15
+00:03:00,180 --> 00:03:04,185
+你的身体很有反应呢
+
+16
+00:03:06,186 --> 00:03:06,687
+那么立刻
+
+17
+00:03:06,687 --> 00:03:07,688
+那么 立刻
+
+18
+00:03:07,688 --> 00:03:08,689
+那么立刻
+
+19
+00:03:13,193 --> 00:03:15,696
+帮你口交哦
+
+20
+00:03:43,223 --> 00:03:46,727
+肉棒流了很多汗呢
+
+21
+00:03:56,737 --> 00:03:58,739
+肉棒舒服吗
+
+22
+00:03:59,740 --> 00:04:02,243
+身体反应很好呢
+
+23
+00:04:12,252 --> 00:04:14,755
+快要射了吗
+
+24
+00:04:16,255 --> 00:04:17,757
+请射出来吧
+
+25
+00:04:18,257 --> 00:04:21,262
+射在我的嘴里吧
+
+26
+00:04:55,295 --> 00:04:57,298
+射了很多精液呢
+
+27
+00:04:59,299 --> 00:05:00,801
+很舒服吗
+
+28
+00:05:03,303 --> 00:05:07,308
+本店可以射无数次哦
+
+29
+00:05:09,309 --> 00:05:12,313
+请你射到满足为止
+
+30
+00:05:13,814 --> 00:05:15,316
+请到这边来
+
+31
+00:05:15,315 --> 00:05:16,816
+请站起来
+
+32
+00:05:27,327 --> 00:05:29,830
+这样口交觉得怎样呢
+
+33
+00:06:04,364 --> 00:06:08,869
+从上往下看 兴奋吗
+
+34
+00:06:09,870 --> 00:06:13,373
+才刚射而已 又变大了哦
+
+35
+00:06:13,373 --> 00:06:15,376
+很舒服
+
+36
+00:06:21,381 --> 00:06:25,885
+还是因为奶子而兴奋呢
+
+37
+00:06:26,887 --> 00:06:28,388
+不
+
+38
+00:06:38,398 --> 00:06:41,402
+你其实很注意奶子吧
+
+39
+00:06:42,402 --> 00:06:43,904
+对
+
+40
+00:07:03,924 --> 00:07:07,928
+像这样子夹
+
+41
+00:07:10,931 --> 00:07:12,433
+你很想乳交吧
+
+42
+00:07:12,933 --> 00:07:13,933
+不
+
+43
+00:07:15,936 --> 00:07:16,936
+很舒服
+
+44
+00:07:16,937 --> 00:07:20,441
+用奶子夹很爽吧
+
+45
+00:07:22,943 --> 00:07:29,950
+你喜欢口交还是乳交呢
+
+46
+00:07:30,450 --> 00:07:32,953
+两种都喜欢
+
+47
+00:07:32,953 --> 00:07:35,955
+-好爽 -两种都喜欢哦
+
+48
+00:07:35,956 --> 00:07:36,957
+是
+
+49
+00:07:37,958 --> 00:07:39,460
+换用吹的
+
+50
+00:07:57,978 --> 00:08:00,481
+你这样吹
+
+51
+00:08:03,483 --> 00:08:04,984
+我又要射了
+
+52
+00:08:06,486 --> 00:08:07,988
+不行 太爽了
+
+53
+00:08:08,488 --> 00:08:11,491
+不行 要射了
+
+54
+00:08:11,491 --> 00:08:14,995
+要射了
+
+55
+00:08:24,004 --> 00:08:26,006
+射了好多
+
+56
+00:08:26,507 --> 00:08:29,010
+这么多精液
+
+57
+00:08:29,510 --> 00:08:31,012
+射很多呢
+
+58
+00:08:34,515 --> 00:08:37,018
+-舒服吗-是
+
+59
+00:08:46,527 --> 00:08:49,030
+请坐下来吧
+
+60
+00:08:49,029 --> 00:08:50,531
+是
+
+61
+00:08:51,532 --> 00:08:54,535
+不过你还可以射吧
+
+62
+00:08:56,537 --> 00:08:59,040
+我没射过3次
+
+63
+00:08:59,540 --> 00:09:04,045
+没问题 我会让你兴奋
+
+64
+00:09:04,044 --> 00:09:05,545
+让你勃起哦
+
+65
+00:09:06,547 --> 00:09:07,548
+是
+
+66
+00:09:18,559 --> 00:09:20,560
+肉棒又变大了哦
+
+67
+00:09:22,563 --> 00:09:27,068
+还是不只是被吹 像这样
+
+68
+00:09:41,582 --> 00:09:43,084
+可以吗
+
+69
+00:09:44,084 --> 00:09:47,088
+让你更兴奋一点
+
+70
+00:09:48,589 --> 00:09:50,091
+更硬一点
+
+71
+00:09:52,593 --> 00:09:53,093
+-好爽 -变得更硬
+
+72
+00:09:53,093 --> 00:09:55,596
+-好爽-变得更硬
+
+73
+00:09:56,096 --> 00:09:57,598
+请射多一点
+
+74
+00:10:00,601 --> 00:10:05,106
+我的奶头变硬了
+
+75
+00:10:09,610 --> 00:10:10,611
+真硬呢
+
+76
+00:10:12,613 --> 00:10:14,115
+非常舒服
+
+77
+00:10:14,615 --> 00:10:16,617
+我也很舒服
+
+78
+00:10:32,132 --> 00:10:32,632
+-不只是用摸的-是
+
+79
+00:10:32,633 --> 00:10:34,135
+-不只是用摸的 -是
+
+80
+00:10:34,134 --> 00:10:34,635
+-不只是用摸的-是
+
+81
+00:10:35,135 --> 00:10:36,637
+像这样
+
+82
+00:10:39,640 --> 00:10:43,144
+好好品尝一下吧
+
+83
+00:10:45,646 --> 00:10:47,148
+怎样啊
+
+84
+00:10:47,147 --> 00:10:50,151
+我的奶子怎样呢
+
+85
+00:10:52,653 --> 00:10:54,155
+什么
+
+86
+00:10:55,656 --> 00:10:58,159
+一定很爽吧
+
+87
+00:10:58,659 --> 00:11:00,161
+我也玩奶头
+
+88
+00:11:05,666 --> 00:11:07,168
+玩奶头
+
+89
+00:11:07,668 --> 00:11:10,170
+在你享受奶子时
+
+90
+00:11:15,676 --> 00:11:17,178
+我也很兴奋
+
+91
+00:11:18,679 --> 00:11:21,682
+我们一起舒服吧
+
+92
+00:11:29,690 --> 00:11:33,194
+像这样子玩肉棒
+
+93
+00:11:41,201 --> 00:11:48,709
+你该不会是被虐狂吧
+
+94
+00:11:49,209 --> 00:11:51,712
+喜欢被玩弄吗
+
+95
+00:11:55,215 --> 00:11:56,217
+什么
+
+96
+00:11:56,717 --> 00:12:01,222
+我听不懂 请说清楚一点
+
+97
+00:12:04,224 --> 00:12:05,726
+像这样
+
+98
+00:12:12,232 --> 00:12:14,735
+在这种状态
+
+99
+00:12:15,235 --> 00:12:18,239
+这样打枪很爽吧
+
+100
+00:12:22,242 --> 00:12:23,744
+你说什么
+
+101
+00:12:25,746 --> 00:12:29,750
+我完全听不懂
+
+102
+00:12:32,252 --> 00:12:33,254
+-这样很爽吗-很爽
+
+103
+00:12:33,253 --> 00:12:33,754
+-这样很爽吗 -很爽
+
+104
+00:12:33,754 --> 00:12:34,255
+-这样很爽吗-很爽
+
+105
+00:12:34,254 --> 00:12:34,755
+-这样很爽吗 -很爽
+
+106
+00:12:35,756 --> 00:12:37,757
+-这样子-是
+
+107
+00:12:38,258 --> 00:12:41,762
+请张开嘴巴
+
+108
+00:12:42,763 --> 00:12:43,764
+像这样
+
+109
+00:12:52,773 --> 00:12:55,276
+喜欢这样玩吗
+
+110
+00:12:55,776 --> 00:12:56,276
+-口水很好吃-被我玩弄
+
+111
+00:12:56,276 --> 00:12:57,778
+-口水很好吃 -被我玩弄
+
+112
+00:12:57,778 --> 00:12:58,279
+-口水很好吃-被我玩弄
+
+113
+00:12:58,278 --> 00:12:58,779
+一口水很好吃 一被我玩弄
+
+114
+00:13:02,282 --> 00:13:03,784
+果然如此
+
+115
+00:13:11,792 --> 00:13:13,294
+-请你躺下去-是
+
+116
+00:13:13,293 --> 00:13:14,795
+-请你躺下去 -是
+
+117
+00:13:14,795 --> 00:13:15,295
+-请你躺下去-是
+
+118
+00:13:24,304 --> 00:13:28,309
+请让我舒服吧
+
+119
+00:13:28,308 --> 00:13:29,810
+是
+
+120
+00:13:44,324 --> 00:13:50,831
+舔我的小穴 很兴奋吗
+
+121
+00:14:04,845 --> 00:14:07,348
+我觉得好舒服
+
+122
+00:14:09,850 --> 00:14:12,853
+请舔我的屁股
+
+123
+00:14:13,353 --> 00:14:14,355
+是
+
+124
+00:14:18,358 --> 00:14:19,860
+像这样
+
+125
+00:14:35,876 --> 00:14:37,377
+好舒服
+
+126
+00:14:37,878 --> 00:14:40,881
+请尽情的舔
+
+127
+00:14:44,885 --> 00:14:47,887
+我觉得好兴奋
+
+128
+00:14:47,888 --> 00:14:49,890
+又快要射了
+
+129
+00:14:51,892 --> 00:14:53,394
+不可以哦
+
+130
+00:14:54,895 --> 00:14:56,396
+先生
+
+131
+00:14:57,898 --> 00:15:01,401
+这次换插我的小穴吧
+
+132
+00:15:01,401 --> 00:15:01,901
+这次 换插我的小穴吧
+
+133
+00:15:01,902 --> 00:15:02,903
+这次换插我的小穴吧
+
+134
+00:15:02,903 --> 00:15:03,404
+这次 换插我的小穴吧
+
+135
+00:15:03,403 --> 00:15:04,405
+这次换插我的小穴吧
+
+136
+00:15:08,909 --> 00:15:11,411
+我也变得很兴奋
+
+137
+00:15:13,914 --> 00:15:16,917
+快点做爱吧
+
+138
+00:15:19,920 --> 00:15:21,422
+要插入吗
+
+139
+00:15:22,923 --> 00:15:25,425
+我也想要舒服
+
+140
+00:15:26,927 --> 00:15:28,429
+插进去
+
+141
+00:15:41,942 --> 00:15:43,944
+-好棒-好舒服
+
+142
+00:15:44,945 --> 00:15:49,449
+你的肉棒塞满我的小穴
+
+143
+00:15:50,450 --> 00:15:53,954
+我的小穴好舒服
+
+144
+00:15:57,958 --> 00:15:58,459
+-好爽 -像这样
+
+145
+00:15:58,458 --> 00:15:59,959
+-好爽-像这样
+
+146
+00:16:01,461 --> 00:16:03,964
+这样动 爽吗
+
+147
+00:16:03,964 --> 00:16:04,965
+很爽
+
+148
+00:16:06,967 --> 00:16:08,968
+很喜欢做爱呢
+
+149
+00:16:15,475 --> 00:16:16,977
+像这样
+
+150
+00:16:24,985 --> 00:16:27,488
+一边舔奶子
+
+151
+00:16:29,489 --> 00:16:31,992
+请好好享受吧
+
+152
+00:16:38,498 --> 00:16:41,502
+我的小穴好舒服
+
+153
+00:16:44,505 --> 00:16:48,009
+肉棒插得好深
+
+154
+00:16:49,510 --> 00:16:51,012
+奶子好爽
+
+155
+00:16:51,512 --> 00:16:53,014
+喜欢奶子吗
+
+156
+00:16:54,014 --> 00:16:55,516
+我最喜欢了
+
+157
+00:17:04,525 --> 00:17:07,528
+插到小穴深处
+
+158
+00:17:13,534 --> 00:17:15,036
+好棒
+
+159
+00:17:20,040 --> 00:17:25,046
+插得我好爽
+
+160
+00:17:38,559 --> 00:17:40,561
+插的很爽吧
+
+161
+00:17:41,061 --> 00:17:44,065
+很舒服
+
+162
+00:17:45,065 --> 00:17:46,567
+舒服吗
+
+163
+00:17:49,069 --> 00:17:50,571
+像这样
+
+164
+00:18:01,582 --> 00:18:04,585
+被我玩弄奶头
+
+165
+00:18:05,085 --> 00:18:07,088
+肉棒狂插小穴
+
+166
+00:18:10,591 --> 00:18:12,593
+请伸出舌头
+
+167
+00:18:33,113 --> 00:18:33,614
+-请尽情享受 -是
+
+168
+00:18:33,614 --> 00:18:34,115
+-请尽情享受-是
+
+169
+00:18:34,114 --> 00:18:34,615
+-请尽情享受 -是
+
+170
+00:18:34,615 --> 00:18:35,616
+-请尽情享受-是
+
+171
+00:18:35,616 --> 00:18:36,117
+-请尽情享受 -是
+
+172
+00:18:40,120 --> 00:18:42,123
+好舒服
+
+173
+00:18:55,135 --> 00:18:59,139
+先生 肉棒又变热了呢
+
+174
+00:19:00,140 --> 00:19:01,642
+太舒服了
+
+175
+00:19:01,642 --> 00:19:04,645
+肉棒很硬哦
+
+176
+00:19:05,145 --> 00:19:06,647
+插的很深
+
+177
+00:19:07,147 --> 00:19:09,149
+请射出来
+
+178
+00:19:09,149 --> 00:19:12,153
+请射多一点
+
+179
+00:19:16,156 --> 00:19:17,158
+不行
+
+180
+00:19:17,658 --> 00:19:19,660
+要射了
+
+181
+00:19:19,660 --> 00:19:22,163
+射吧 请射多一点
+
+182
+00:19:25,165 --> 00:19:26,667
+射了
+
+183
+00:19:31,171 --> 00:19:32,673
+好棒
+
+184
+00:19:32,673 --> 00:19:34,675
+射了很多精液
+
+185
+00:19:37,678 --> 00:19:42,683
+今天射很多次呢
+
+186
+00:19:46,687 --> 00:19:50,191
+射到里面 舒服吗
+
+187
+00:19:50,691 --> 00:19:52,693
+非常舒服
+
+188
+00:19:59,700 --> 00:20:02,203
+射了很多呢
+
+189
+00:20:04,204 --> 00:20:05,206
+不过
+
+190
+00:20:07,207 --> 00:20:09,710
+还没有结束吧
+
+191
+00:20:14,214 --> 00:20:16,216
+我帮你口交
+
+192
+00:20:32,232 --> 00:20:37,238
+再来换背后位吧
+
+193
+00:20:38,739 --> 00:20:40,241
+是
+
+194
+00:20:50,751 --> 00:20:57,258
+从后面干 感觉很不同哦
+
+195
+00:21:18,278 --> 00:21:19,280
+肉棒进进出出 干的我好爽
+
+196
+00:21:19,279 --> 00:21:19,780
+肉棒进进出出干的我好爽
+
+197
+00:21:19,780 --> 00:21:26,287
+肉棒进进出出 干的我好爽
+
+198
+00:21:26,286 --> 00:21:26,787
+肉棒进进出出干的我好爽
+
+199
+00:21:26,787 --> 00:21:27,288
+肉棒进进出出 干的我好爽
+
+200
+00:21:33,293 --> 00:21:36,297
+请尽情享受吧
+
+201
+00:21:45,305 --> 00:21:48,809
+我觉得好爽
+
+202
+00:21:57,317 --> 00:22:01,322
+-请尽情的干我-是
+
+203
+00:22:06,326 --> 00:22:08,829
+我觉得好爽
+
+204
+00:22:21,842 --> 00:22:22,843
+好棒
+
+205
+00:22:24,845 --> 00:22:26,847
+请用力干我
+
+206
+00:22:37,858 --> 00:22:46,867
+要不要从前面干呢
+
+207
+00:22:47,868 --> 00:22:48,869
+可以吗
+
+208
+00:22:56,376 --> 00:23:01,382
+用正常位一起舒服吧
+
+209
+00:23:04,384 --> 00:23:05,886
+可以吗
+
+210
+00:23:14,394 --> 00:23:15,896
+好爽
+
+211
+00:23:16,396 --> 00:23:19,399
+正常位也很爽
+
+212
+00:23:27,407 --> 00:23:31,412
+用力插我的小穴吧
+
+213
+00:23:34,915 --> 00:23:39,920
+这样插 我好舒服
+
+214
+00:23:52,432 --> 00:23:52,933
+-好棒 -很舒服
+
+215
+00:23:52,933 --> 00:23:53,434
+-好棒-很舒服
+
+216
+00:23:53,433 --> 00:23:53,934
+-好棒 -很舒服
+
+217
+00:23:53,934 --> 00:23:54,435
+-好棒-很舒服
+
+218
+00:23:55,435 --> 00:24:01,442
+这样干 我觉得好爽
+
+219
+00:24:02,442 --> 00:24:05,946
+先生 你觉得舒服吗
+
+220
+00:24:05,946 --> 00:24:07,447
+非常舒服
+
+221
+00:24:09,449 --> 00:24:10,951
+-这样好舒服-好爽
+
+222
+00:24:10,951 --> 00:24:12,453
+-这样好舒服 -好爽
+
+223
+00:24:12,452 --> 00:24:12,953
+-这样好舒服-好爽
+
+224
+00:24:12,953 --> 00:24:13,454
+-这样好舒服 -好爽
+
+225
+00:24:13,453 --> 00:24:14,455
+-这样好舒服-好爽
+
+226
+00:24:15,956 --> 00:24:18,959
+我要去了
+
+227
+00:24:18,959 --> 00:24:20,961
+我觉得好爽
+
+228
+00:24:28,969 --> 00:24:30,971
+又要去了
+
+229
+00:24:41,982 --> 00:24:44,985
+我又高潮了
+
+230
+00:24:46,486 --> 00:24:47,488
+真爽
+
+231
+00:25:06,507 --> 00:25:07,008
+-这样干很爽呢 -好舒服
+
+232
+00:25:07,007 --> 00:25:07,508
+-这样干很爽呢-好舒服
+
+233
+00:25:07,508 --> 00:25:08,009
+-这样干很爽呢 -好舒服
+
+234
+00:25:08,008 --> 00:25:08,509
+-这样干很爽呢-好舒服
+
+235
+00:25:08,509 --> 00:25:09,010
+-这样干很爽呢 -好舒服
+
+236
+00:25:09,009 --> 00:25:09,510
+-这样干很爽呢-好舒服
+
+237
+00:25:09,510 --> 00:25:10,011
+-这样干很爽呢 -好舒服
+
+238
+00:25:10,010 --> 00:25:11,512
+-这样干很爽呢-好舒服
+
+239
+00:25:12,012 --> 00:25:13,014
+插很深呢
+
+240
+00:25:22,022 --> 00:25:25,026
+我很舒服
+
+241
+00:25:25,526 --> 00:25:27,028
+好爽
+
+242
+00:25:29,530 --> 00:25:32,533
+你插的我好爽
+
+243
+00:25:39,039 --> 00:25:42,043
+请尽情享受
+
+244
+00:25:50,050 --> 00:25:52,053
+好舒服
+
+245
+00:25:55,556 --> 00:25:57,558
+又要去了
+
+246
+00:26:05,566 --> 00:26:07,068
+很舒服
+
+247
+00:26:08,068 --> 00:26:10,071
+非常爽
+
+248
+00:26:23,584 --> 00:26:25,586
+我觉得好爽
+
+249
+00:26:27,087 --> 00:26:28,589
+尽情享受
+
+250
+00:26:32,092 --> 00:26:34,595
+不行 我忍不住了
+
+251
+00:26:34,595 --> 00:26:35,096
+-可以射吗-请射出来
+
+252
+00:26:35,095 --> 00:26:36,597
+-可以射吗 -请射出来
+
+253
+00:26:37,598 --> 00:26:40,101
+请射多一点
+
+254
+00:26:41,101 --> 00:26:45,106
+要射了
+
+255
+00:27:01,622 --> 00:27:05,626
+又射了很多呢
+
+256
+00:27:06,627 --> 00:27:10,131
+我的小穴舒服吗
+
+257
+00:27:11,632 --> 00:27:13,134
+非常舒服
+
+258
+00:27:17,137 --> 00:27:21,142
+你还可以射吧
+
+259
+00:27:21,642 --> 00:27:26,147
+我不行了
+
+260
+00:27:43,664 --> 00:27:45,666
+肉棒又变硬了呢
+
+261
+00:27:48,168 --> 00:27:52,173
+可以跟我做爱吧
+
+262
+00:27:54,675 --> 00:27:57,178
+接下来玩骑乘位
+
+263
+00:28:01,682 --> 00:28:05,186
+骑在你的身上
+
+264
+00:28:12,693 --> 00:28:14,695
+先生
+
+265
+00:28:17,197 --> 00:28:19,200
+很舒服
+
+266
+00:28:19,700 --> 00:28:21,202
+舒服吗
+
+267
+00:28:22,703 --> 00:28:25,706
+玩你的奶头
+
+268
+00:28:31,211 --> 00:28:32,713
+这样动
+
+269
+00:28:41,221 --> 00:28:43,224
+插的很深呢
+
+270
+00:28:44,224 --> 00:28:47,228
+肉棒插到小穴深处
+
+271
+00:28:48,729 --> 00:28:50,731
+插的好深
+
+272
+00:29:00,741 --> 00:29:02,743
+好舒服
+
+273
+00:29:03,744 --> 00:29:05,745
+插的好深
+
+274
+00:29:08,749 --> 00:29:10,251
+舒服吗
+
+275
+00:29:12,753 --> 00:29:14,754
+像这样
+
+276
+00:29:19,760 --> 00:29:21,262
+上下动
+
+277
+00:29:25,265 --> 00:29:28,269
+这样插舒服吗
+
+278
+00:29:28,769 --> 00:29:29,770
+好爽
+
+279
+00:29:30,771 --> 00:29:34,774
+用力的插我
+
+280
+00:29:39,279 --> 00:29:41,782
+这样很爽吧
+
+281
+00:29:43,283 --> 00:29:46,787
+我也觉得很爽
+
+282
+00:29:56,296 --> 00:29:57,798
+很舒服
+
+283
+00:29:58,298 --> 00:29:59,800
+舒服吗
+
+284
+00:30:12,813 --> 00:30:15,816
+像这样
+
+285
+00:30:19,820 --> 00:30:25,326
+边干边舔奶头会更爽吧
+
+286
+00:30:30,330 --> 00:30:32,333
+这样
+
+287
+00:30:33,333 --> 00:30:35,836
+喜欢这样舔吗
+
+288
+00:30:41,842 --> 00:30:43,344
+跑掉了
+
+289
+00:30:55,355 --> 00:30:57,858
+肉棒插的好深
+
+290
+00:30:59,860 --> 00:31:02,363
+奶头被我玩弄
+
+291
+00:31:02,863 --> 00:31:04,365
+好爽
+
+292
+00:31:05,866 --> 00:31:07,368
+太爽了
+
+293
+00:31:16,877 --> 00:31:19,379
+换舔另一边吧
+
+294
+00:31:35,896 --> 00:31:36,897
+先生
+
+295
+00:31:39,399 --> 00:31:42,403
+好好享受吧
+
+296
+00:31:43,904 --> 00:31:46,407
+非常舒服
+
+297
+00:32:02,422 --> 00:32:04,925
+我又快要射了
+
+298
+00:32:05,425 --> 00:32:07,428
+射出来吧
+
+299
+00:32:12,933 --> 00:32:14,935
+不行 要射了
+
+300
+00:32:16,436 --> 00:32:18,439
+射在里面吧
+
+301
+00:32:29,950 --> 00:32:32,953
+又射在里面了呢
+
+302
+00:32:49,970 --> 00:32:50,971
+舒服吗
+
+303
+00:32:51,972 --> 00:32:53,474
+不过
+
+304
+00:32:56,476 --> 00:32:57,978
+还没结束
+
+305
+00:33:04,985 --> 00:33:07,488
+让你更舒服一点
+
+306
+00:33:13,994 --> 00:33:15,995
+已经没精液了
+
+307
+00:33:22,002 --> 00:33:23,504
+没问题哦
+
+308
+00:33:24,004 --> 00:33:28,009
+你会越来越舒服
+
+309
+00:33:32,012 --> 00:33:39,020
+本店会让客人爽到满意为止
+
+310
+00:33:39,019 --> 00:33:42,023
+-可是-请好好享受吧
+
+311
+00:33:42,022 --> 00:33:42,523
+-可是 -请好好享受吧
+
+312
+00:33:46,026 --> 00:33:49,530
+肉棒果然又变大了呢
+
+313
+00:33:52,032 --> 00:33:55,036
+比刚才还要硬哦
+
+314
+00:33:55,035 --> 00:33:58,039
+可是已经射很多次
+
+315
+00:33:59,540 --> 00:34:04,045
+你想要更舒服吧
+
+316
+00:34:09,550 --> 00:34:11,552
+又要射了
+
+317
+00:34:12,052 --> 00:34:14,055
+射出来吧
+
+318
+00:34:17,558 --> 00:34:19,560
+射出来了呢
+
+319
+00:34:20,561 --> 00:34:21,062
+不过像这样 等等
+
+320
+00:34:21,061 --> 00:34:22,563
+-不过像这样 -等等
+
+321
+00:34:22,563 --> 00:34:23,064
+不过像这样 等等
+
+322
+00:34:23,063 --> 00:34:23,564
+-不过像这样 一等等
+
+323
+00:34:23,563 --> 00:34:24,065
+-不过像这样 -等等
+
+324
+00:34:26,065 --> 00:34:28,569
+这样会更爽哦
+
+325
+00:34:29,570 --> 00:34:30,571
+等等
+
+326
+00:34:31,071 --> 00:34:31,572
+可以体验前所未有的快感哦
+
+327
+00:34:31,572 --> 00:34:32,073
+-可以体验前所未有的快感哦
+
+328
+00:34:32,072 --> 00:34:32,573
+可以体验前所未有的快感哦
+
+329
+00:34:32,572 --> 00:34:36,077
+-可以体验前所未有的快感哦
+
+330
+00:34:38,078 --> 00:34:40,581
+交给我处理
+
+331
+00:34:41,581 --> 00:34:43,084
+请好好享受吧
+
+332
+00:34:45,085 --> 00:34:48,089
+请你快点住手
+
+333
+00:34:48,589 --> 00:34:50,091
+很舒服吧
+
+334
+00:34:50,591 --> 00:34:52,593
+继续玩吧
+
+335
+00:34:53,092 --> 00:34:56,597
+好好的享受吧
+
+336
+00:35:02,603 --> 00:35:04,605
+快要射了
+
+337
+00:35:04,605 --> 00:35:06,607
+-射出来吧-不行
+
+338
+00:35:11,111 --> 00:35:13,114
+射出来了
+
+339
+00:35:14,615 --> 00:35:16,117
+好棒
+
+340
+00:35:18,118 --> 00:35:18,619
+-流出很多淫水 -不行
+
+341
+00:35:18,619 --> 00:35:19,120
+-流出很多淫水-不行
+
+342
+00:35:19,119 --> 00:35:20,121
+-流出很多淫水 -不行
+
+343
+00:35:20,120 --> 00:35:21,122
+-流出很多淫水-不行
+
+344
+00:35:24,124 --> 00:35:27,128
+很爽才会喷出淫水哦
+
+345
+00:35:28,128 --> 00:35:30,131
+没有了吗
+
+346
+00:35:30,631 --> 00:35:32,633
+又喷出来了
+
+347
+00:35:32,633 --> 00:35:33,634
+-你很舒服呢 -请住手
+
+348
+00:35:33,634 --> 00:35:34,135
+-你很舒服呢-请住手
+
+349
+00:35:34,134 --> 00:35:34,635
+-你很舒服呢 -请住手
+
+350
+00:35:34,635 --> 00:35:35,636
+-你很舒服呢-请住手
+
+351
+00:35:35,636 --> 00:35:36,137
+-你很舒服呢 -请住手
+
+352
+00:35:36,136 --> 00:35:36,637
+-你很舒服呢-请住手
+
+353
+00:35:38,138 --> 00:35:41,142
+很高兴你这么爽
+
+354
+00:35:46,647 --> 00:35:47,648
+没有了
+
+355
+00:35:48,148 --> 00:35:49,650
+我知道了
+
+356
+00:35:51,652 --> 00:35:54,155
+很舒服吗
+
+357
+00:35:56,657 --> 00:36:00,661
+不过今天才刚开始而已
+
+358
+00:36:01,662 --> 00:36:04,665
+一起享受吧
+
+359
+00:36:30,691 --> 00:36:32,193
+让你久等了
+
+360
+00:36:32,693 --> 00:36:38,699
+用泡沫来帮你洗澡吧
+
+361
+00:36:39,700 --> 00:36:40,701
+麻烦你了
+
+362
+00:36:45,706 --> 00:36:47,208
+是
+
+363
+00:36:48,709 --> 00:36:53,214
+请好好享受泡沫吧
+
+364
+00:36:55,215 --> 00:36:57,718
+涂在我身上
+
+365
+00:37:02,222 --> 00:37:03,224
+像这样
+
+366
+00:37:04,725 --> 00:37:09,730
+摩擦你的身体
+
+367
+00:37:10,230 --> 00:37:11,232
+好爽
+
+368
+00:37:15,736 --> 00:37:18,739
+用奶子摩擦身体
+
+369
+00:37:24,745 --> 00:37:27,248
+用泡沫涂抹全身哦
+
+370
+00:37:31,251 --> 00:37:32,753
+好舒服
+
+371
+00:37:37,257 --> 00:37:38,259
+有碰到吗
+
+372
+00:37:41,762 --> 00:37:46,267
+奶头摩擦奶头
+
+373
+00:37:48,769 --> 00:37:51,772
+我的奶头变硬了
+
+374
+00:38:04,785 --> 00:38:07,288
+摩擦你的身体
+
+375
+00:38:10,791 --> 00:38:16,797
+用两个奶子摩擦身体
+
+376
+00:38:21,802 --> 00:38:27,808
+像这样 帮你摩擦身体哦
+
+377
+00:38:35,315 --> 00:38:36,817
+像这样
+
+378
+00:38:37,317 --> 00:38:40,321
+摩擦你的奶头
+
+379
+00:38:49,329 --> 00:38:51,332
+-舒服吗-是
+
+380
+00:38:51,331 --> 00:38:51,832
+一舒服吗一是
+
+381
+00:39:00,841 --> 00:39:04,345
+-帮你洗手臂吧-好
+
+382
+00:39:10,350 --> 00:39:11,852
+像这样
+
+383
+00:39:16,356 --> 00:39:17,858
+这个
+
+384
+00:39:18,358 --> 00:39:21,362
+帮你摩擦手臂
+
+385
+00:39:22,362 --> 00:39:27,868
+请好好享受奶子的触感
+
+386
+00:39:28,869 --> 00:39:29,870
+好棒
+
+387
+00:39:33,373 --> 00:39:34,875
+碰到奶子
+
+388
+00:39:35,375 --> 00:39:36,877
+有碰到吗
+
+389
+00:39:36,877 --> 00:39:40,381
+-有好好享受吗-是
+
+390
+00:39:42,382 --> 00:39:43,884
+像这样
+
+391
+00:39:48,388 --> 00:39:50,891
+上下摩擦你的手臂
+
+392
+00:39:53,393 --> 00:39:56,397
+顺便洗我的奶子呢
+
+393
+00:40:16,416 --> 00:40:17,918
+被夹住
+
+394
+00:40:19,419 --> 00:40:24,925
+像这样 摩擦手臂吧
+
+395
+00:40:27,928 --> 00:40:28,429
+-板夹了
+
+396
+00:40:28,428 --> 00:40:28,929
+-极关键了
+
+397
+00:40:29,930 --> 00:40:30,931
+-要确实的清洁手臂哦
+
+398
+00:40:30,931 --> 00:40:31,932
+一极关住了
+
+399
+00:40:32,432 --> 00:40:32,933
+-要确实的清洁手臂哦
+
+400
+00:40:43,443 --> 00:40:44,945
+好爽
+
+401
+00:40:45,946 --> 00:40:46,447
+-手臂舒服吗 -是
+
+402
+00:40:46,446 --> 00:40:47,448
+-手臂舒服吗-是
+
+403
+00:40:47,447 --> 00:40:48,449
+-手臂舒服吗 -是
+
+404
+00:40:48,448 --> 00:40:48,949
+-手臂舒服吗-是
+
+405
+00:40:50,450 --> 00:40:53,954
+请把手张开来
+
+406
+00:40:53,954 --> 00:40:54,955
+对
+
+407
+00:40:54,955 --> 00:40:56,457
+像这样
+
+408
+00:40:56,957 --> 00:40:59,960
+洗一下手指吧
+
+409
+00:41:07,968 --> 00:41:08,469
+-夹一下奶头-这边吗
+
+410
+00:41:08,468 --> 00:41:09,470
+-夹一下奶头 -这边吗
+
+411
+00:41:09,469 --> 00:41:09,970
+-夹一下奶头-这边吗
+
+412
+00:41:09,970 --> 00:41:10,971
+-夹一下奶头 -这边吗
+
+413
+00:41:10,971 --> 00:41:11,472
+-夹一下奶头-这边吗
+
+414
+00:41:11,471 --> 00:41:12,473
+-夹一下奶头 -这边吗
+
+415
+00:41:12,973 --> 00:41:15,476
+洗一下小指跟无名指吧
+
+416
+00:41:15,976 --> 00:41:16,977
+是
+
+417
+00:41:19,980 --> 00:41:22,983
+我的奶子也被洗乾净了
+
+418
+00:41:28,989 --> 00:41:34,995
+再来洗另一边吧
+
+419
+00:41:36,496 --> 00:41:41,502
+这次不是用奶子换用我的小穴来洗
+
+420
+00:41:46,507 --> 00:41:48,509
+我之前没玩过
+
+421
+00:41:50,010 --> 00:41:51,512
+第一次玩吗
+
+422
+00:41:52,513 --> 00:41:54,515
+像这样
+
+423
+00:41:56,517 --> 00:41:58,019
+碰到小穴了
+
+424
+00:42:03,524 --> 00:42:10,031
+用我的小穴帮你洗乾净
+
+425
+00:42:15,035 --> 00:42:16,537
+有碰到吧
+
+426
+00:42:19,039 --> 00:42:21,542
+疯狂摩擦
+
+427
+00:42:39,059 --> 00:42:41,062
+好舒服
+
+428
+00:42:41,061 --> 00:42:45,066
+-请好好的享受-好爽
+
+429
+00:42:45,065 --> 00:42:46,567
+非常爽
+
+430
+00:42:47,067 --> 00:42:51,572
+我也觉得非常舒服
+
+431
+00:43:01,081 --> 00:43:06,087
+再来我想玩壶洗
+
+432
+00:43:06,086 --> 00:43:08,589
+壶洗什么意思呢
+
+433
+00:43:09,590 --> 00:43:14,595
+用我的小穴来洗手指
+
+434
+00:43:17,097 --> 00:43:19,600
+请伸出食指
+
+435
+00:43:25,606 --> 00:43:26,607
+进去了
+
+436
+00:43:32,112 --> 00:43:35,116
+对 手指进进出出
+
+437
+00:43:35,616 --> 00:43:36,617
+对
+
+438
+00:43:46,126 --> 00:43:47,628
+-很湿吗-对
+
+439
+00:43:49,129 --> 00:43:53,134
+动一下你的手指
+
+440
+00:43:53,133 --> 00:43:55,136
+是 这样吗
+
+441
+00:43:55,636 --> 00:43:59,640
+对像这样动手指
+
+442
+00:44:10,150 --> 00:44:13,154
+用两根手指插进去
+
+443
+00:44:13,153 --> 00:44:14,655
+插我的小穴
+
+444
+00:44:15,155 --> 00:44:17,158
+-这样吗-对
+
+445
+00:44:23,163 --> 00:44:23,664
+对就是这样
+
+446
+00:44:23,664 --> 00:44:24,165
+对 就是这样
+
+447
+00:44:24,164 --> 00:44:25,166
+对就是这样
+
+448
+00:44:26,667 --> 00:44:27,668
+-插进去了-小穴好爽
+
+449
+00:44:27,668 --> 00:44:28,169
+-插进去了 -小穴好爽
+
+450
+00:44:28,168 --> 00:44:30,171
+-插进去了-小穴好爽
+
+451
+00:44:36,176 --> 00:44:39,680
+插到我最爽的部位
+
+452
+00:44:53,694 --> 00:45:00,701
+被手指插到小穴深处
+
+453
+00:45:01,201 --> 00:45:06,707
+我比客人先一步高潮了
+
+454
+00:45:08,709 --> 00:45:14,715
+再来洗背部吧 请转过身去
+
+455
+00:45:19,720 --> 00:45:22,223
+抱歉 失礼了
+
+456
+00:45:29,229 --> 00:45:34,235
+现在帮你擦背哦
+
+457
+00:45:40,240 --> 00:45:41,742
+好爽
+
+458
+00:45:51,251 --> 00:45:51,752
+奶子摩擦背部有感觉写
+
+459
+00:45:51,752 --> 00:45:52,253
+-奶子摩擦背部有感觉写
+
+460
+00:45:52,252 --> 00:45:53,754
+奶子摩擦背部有感觉写
+
+461
+00:45:53,754 --> 00:45:54,255
+奶子摩擦部位有感觉写
+
+462
+00:45:54,254 --> 00:45:54,755
+-奶子犀擦背部有感觉写
+
+463
+00:45:54,755 --> 00:45:56,757
+奶子摩擦背部有感觉写
+
+464
+00:45:56,757 --> 00:45:57,258
+奶子犀擦背部有感觉写
+
+465
+00:45:57,257 --> 00:45:57,758
+奶子摩擦背部有感觉写
+
+466
+00:46:02,763 --> 00:46:03,764
+像这样
+
+467
+00:46:10,771 --> 00:46:14,275
+玩弄你的奶头 怎样呢
+
+468
+00:46:15,275 --> 00:46:18,279
+很爽
+
+469
+00:46:18,278 --> 00:46:21,282
+喜欢这样玩吗
+
+470
+00:46:23,283 --> 00:46:26,787
+奶头比刚才还硬呢
+
+471
+00:46:27,788 --> 00:46:30,291
+觉得很兴奋哦
+
+472
+00:46:32,292 --> 00:46:35,796
+肉棒也变硬了
+
+473
+00:46:42,302 --> 00:46:43,804
+很舒服吧
+
+474
+00:47:06,827 --> 00:47:11,832
+再继续帮你洗吧
+
+475
+00:47:15,335 --> 00:47:16,837
+用泡沫帮你洗
+
+476
+00:47:25,846 --> 00:47:30,351
+你的睾丸变得很紧哦
+
+477
+00:47:32,352 --> 00:47:36,857
+帮你洗屁眼
+
+478
+00:47:39,359 --> 00:47:41,862
+一起洗肉棒哦
+
+479
+00:47:44,865 --> 00:47:45,366
+-让我看勃起的样子 -好爽
+
+480
+00:47:45,365 --> 00:47:48,869
+-让我看勃起的样子-好爽
+
+481
+00:47:52,372 --> 00:47:56,377
+-肉棒变得很硬-不行
+
+482
+00:48:00,881 --> 00:48:03,384
+肉棒好硬
+
+483
+00:48:04,384 --> 00:48:05,386
+不行
+
+484
+00:48:05,886 --> 00:48:07,388
+快射了
+
+485
+00:48:07,387 --> 00:48:08,889
+还不能哦
+
+486
+00:48:08,889 --> 00:48:09,390
+还不能骑哦
+
+487
+00:48:09,389 --> 00:48:10,891
+还不能哦
+
+488
+00:48:10,891 --> 00:48:11,392
+还不能骑哦
+
+489
+00:48:11,391 --> 00:48:11,892
+还不能哦
+
+490
+00:48:13,393 --> 00:48:14,895
+还不能射哦
+
+491
+00:48:14,895 --> 00:48:16,397
+请忍耐一下
+
+492
+00:48:19,399 --> 00:48:20,401
+像这样
+
+493
+00:48:20,901 --> 00:48:23,904
+涂上很多泡沫
+
+494
+00:48:26,406 --> 00:48:27,908
+很湿呢
+
+495
+00:48:30,911 --> 00:48:32,913
+像这样摸
+
+496
+00:48:39,920 --> 00:48:41,922
+不行 太爽了
+
+497
+00:48:43,924 --> 00:48:46,427
+请好好享受吧
+
+498
+00:48:50,931 --> 00:48:52,933
+-像这样摸-不行
+
+499
+00:48:52,933 --> 00:48:53,934
+一像这样摸一不行
+
+500
+00:48:55,435 --> 00:48:57,438
+这么爽吗
+
+501
+00:48:58,438 --> 00:48:59,940
+非常爽
+
+502
+00:48:59,940 --> 00:49:01,442
+像这样
+
+503
+00:49:05,946 --> 00:49:08,949
+看着我
+
+504
+00:49:09,950 --> 00:49:11,952
+请露出舒服的表情
+
+505
+00:49:12,452 --> 00:49:13,454
+好爽
+
+506
+00:49:13,453 --> 00:49:14,455
+-舒服吗-是
+
+507
+00:49:14,454 --> 00:49:14,955
+一舒服吗一是
+
+508
+00:49:14,955 --> 00:49:15,456
+-舒服吗-是
+
+509
+00:49:15,956 --> 00:49:17,458
+舔奶头
+
+510
+00:49:17,958 --> 00:49:18,959
+不行
+
+511
+00:49:28,969 --> 00:49:31,472
+不行 快射了
+
+512
+00:49:40,480 --> 00:49:42,983
+不行
+
+513
+00:49:45,485 --> 00:49:47,488
+还不能射哦
+
+514
+00:50:02,503 --> 00:50:04,005
+不行
+
+515
+00:50:05,506 --> 00:50:07,008
+舔奶头
+
+516
+00:50:11,512 --> 00:50:14,015
+不行
+
+517
+00:50:18,018 --> 00:50:19,520
+不行
+
+518
+00:50:19,520 --> 00:50:21,522
+不行 我忍不住了
+
+519
+00:50:21,522 --> 00:50:23,024
+请你忍耐
+
+520
+00:50:23,524 --> 00:50:24,525
+快射了
+
+521
+00:50:24,525 --> 00:50:27,028
+射了
+
+522
+00:50:30,531 --> 00:50:33,034
+射出很多精液
+
+523
+00:50:33,033 --> 00:50:34,035
+不行
+
+524
+00:50:35,035 --> 00:50:36,537
+我射了
+
+525
+00:50:38,038 --> 00:50:41,542
+不过 你还可以射吧
+
+526
+00:50:43,544 --> 00:50:45,546
+像这样
+
+527
+00:50:48,048 --> 00:50:51,552
+-怪怪的吗-要射了
+
+528
+00:50:56,557 --> 00:50:58,059
+不行
+
+529
+00:50:58,559 --> 00:51:00,561
+射多一点
+
+530
+00:51:01,061 --> 00:51:02,063
+不行了
+
+531
+00:51:02,563 --> 00:51:05,066
+不行 我没精液了
+
+532
+00:51:06,066 --> 00:51:07,568
+不行
+
+533
+00:51:10,070 --> 00:51:11,572
+没有了吗
+
+534
+00:51:12,573 --> 00:51:15,576
+全部射光了吗
+
+535
+00:51:16,076 --> 00:51:17,578
+是
+
+536
+00:51:20,080 --> 00:51:22,583
+那 再洗一次吧
+
+537
+00:51:54,114 --> 00:51:56,617
+水温可以吗
+
+538
+00:51:57,117 --> 00:51:58,619
+刚刚好
+
+539
+00:52:00,621 --> 00:52:01,622
+-我也一起泡吧 -是
+
+540
+00:52:01,622 --> 00:52:04,125
+-我也一起泡吧-是
+
+541
+00:52:04,124 --> 00:52:04,625
+-我也一起泡吧 -是
+
+542
+00:52:14,635 --> 00:52:17,638
+泡澡很舒服哦
+
+543
+00:52:20,641 --> 00:52:23,144
+刚才射很多呢
+
+544
+00:52:24,645 --> 00:52:29,650
+请你好好放松吧
+
+545
+00:52:33,654 --> 00:52:38,659
+这样还不够放松呢
+
+546
+00:52:49,169 --> 00:52:51,672
+肉棒又变大了哦
+
+547
+00:52:52,172 --> 00:52:53,674
+好爽
+
+548
+00:52:56,176 --> 00:52:59,180
+你觉得很兴奋呢
+
+549
+00:53:05,185 --> 00:53:07,688
+肉棒变得很硬
+
+550
+00:53:13,193 --> 00:53:15,696
+刚才的精液
+
+551
+00:53:18,699 --> 00:53:20,201
+好爽
+
+552
+00:53:30,711 --> 00:53:32,713
+这样好爽
+
+553
+00:53:39,219 --> 00:53:42,223
+肉棒又变的很硬哦
+
+554
+00:53:42,222 --> 00:53:44,725
+我觉得很爽
+
+555
+00:53:46,226 --> 00:53:48,729
+变得这么硬了
+
+556
+00:53:49,229 --> 00:53:51,732
+才刚射过而已呢
+
+557
+00:53:53,233 --> 00:53:56,237
+还可以射吧
+
+558
+00:53:59,740 --> 00:54:06,247
+用我的奶子让你舒服
+
+559
+00:54:06,747 --> 00:54:07,748
+好软
+
+560
+00:54:11,752 --> 00:54:14,255
+肉棒变得好硬
+
+561
+00:54:17,758 --> 00:54:18,259
+-不符 我快射了
+
+562
+00:54:18,258 --> 00:54:19,260
+-不打 我快射了
+
+563
+00:54:19,259 --> 00:54:20,261
+-不行 我快射了
+
+564
+00:54:20,260 --> 00:54:20,761
+-不符 我快射了
+
+565
+00:54:20,761 --> 00:54:21,262
+-不打我快射了
+
+566
+00:54:21,261 --> 00:54:22,763
+请射出来吧
+
+567
+00:54:27,267 --> 00:54:28,769
+不行
+
+568
+00:54:28,769 --> 00:54:31,272
+又要射了
+
+569
+00:54:41,782 --> 00:54:43,784
+又射精了呢
+
+570
+00:54:45,285 --> 00:54:50,791
+不过 你还可以射吧
+
+571
+00:55:01,301 --> 00:55:02,803
+好爽
+
+572
+00:55:09,309 --> 00:55:11,812
+-舒服吗-是
+
+573
+00:55:14,314 --> 00:55:19,820
+肉棒又变硬了呢
+
+574
+00:55:22,823 --> 00:55:24,825
+还可以射精吧
+
+575
+00:55:26,326 --> 00:55:27,828
+我不是有说过写
+
+576
+00:55:27,828 --> 00:55:28,329
+我不是说过写
+
+577
+00:55:28,328 --> 00:55:33,334
+我不是有说过写
+
+578
+00:55:34,334 --> 00:55:37,338
+请你转到后面趴着
+
+579
+00:55:37,838 --> 00:55:39,340
+转到后面
+
+580
+00:55:46,346 --> 00:55:49,350
+请把右脚放在上面
+
+581
+00:55:50,851 --> 00:55:51,352
+-这样吗 -对
+
+582
+00:55:51,351 --> 00:55:51,852
+这样吗 对
+
+583
+00:55:51,852 --> 00:55:52,353
+-这样吗-对
+
+584
+00:55:52,352 --> 00:55:52,853
+这样吗 对
+
+585
+00:55:52,853 --> 00:55:53,354
+-这样吗-对
+
+586
+00:55:55,355 --> 00:55:56,857
+像这样
+
+587
+00:55:56,857 --> 00:56:00,361
+-很害羞的姿势-好爽
+
+588
+00:56:01,361 --> 00:56:03,864
+帮你打手枪
+
+589
+00:56:04,865 --> 00:56:08,869
+好爽
+
+590
+00:56:09,369 --> 00:56:10,871
+不行
+
+591
+00:56:16,376 --> 00:56:17,878
+真爽
+
+592
+00:56:18,879 --> 00:56:20,381
+快射了
+
+593
+00:56:20,881 --> 00:56:22,883
+请射出来
+
+594
+00:56:24,885 --> 00:56:25,386
+-请射多一点-不行
+
+595
+00:56:25,385 --> 00:56:25,886
+-请射多一点 -不行
+
+596
+00:56:25,886 --> 00:56:26,387
+-请射多一点-不行
+
+597
+00:56:26,386 --> 00:56:26,887
+-请射多一点 -不行
+
+598
+00:56:26,887 --> 00:56:28,389
+-请射多一点-不行
+
+599
+00:56:28,388 --> 00:56:28,889
+-请射多一点 -不行
+
+600
+00:56:29,389 --> 00:56:30,891
+要射了
+
+601
+00:56:30,891 --> 00:56:31,892
+-射吧-要射了
+
+602
+00:56:31,892 --> 00:56:32,393
+-射吧 -要射了
+
+603
+00:56:34,394 --> 00:56:35,896
+不行
+
+604
+00:56:36,396 --> 00:56:37,398
+射了
+
+605
+00:56:48,909 --> 00:56:54,415
+才刚射过而已 又射很多呢
+
+606
+00:56:57,417 --> 00:57:00,921
+-很舒服吗-是
+
+607
+00:57:02,923 --> 00:57:07,928
+等一下玩软垫玩法吧
+
+608
+00:57:10,931 --> 00:57:14,435
+让你更舒服一点哦
+
+609
+00:57:43,964 --> 00:57:45,966
+让你久等了
+
+610
+00:57:47,467 --> 00:57:53,474
+用润滑油来涂抹你的身体
+
+611
+00:57:53,473 --> 00:57:54,975
+麻烦你了
+
+612
+00:57:54,975 --> 00:58:00,481
+有用过润滑油吗
+
+613
+00:58:03,984 --> 00:58:08,989
+像这样使用润滑油
+
+614
+00:58:09,489 --> 00:58:17,498
+第一次玩软垫玩法吗
+
+615
+00:58:18,999 --> 00:58:20,000
+是
+
+616
+00:58:22,503 --> 00:58:26,507
+请好好享受吧
+
+617
+00:58:26,507 --> 00:58:28,509
+麻烦你了
+
+618
+00:58:29,510 --> 00:58:31,012
+先用这样
+
+619
+00:58:37,017 --> 00:58:43,024
+用我的身体帮你摩擦
+
+620
+00:58:43,023 --> 00:58:44,525
+麻烦你了
+
+621
+00:58:48,529 --> 00:58:53,534
+爽吗 我的奶头变硬了
+
+622
+00:59:00,040 --> 00:59:03,044
+这么兴奋的话
+
+623
+00:59:05,546 --> 00:59:07,048
+这表示
+
+624
+00:59:10,050 --> 00:59:12,053
+你很兴奋呢
+
+625
+00:59:13,053 --> 00:59:15,056
+抱歉 我很爽
+
+626
+00:59:26,066 --> 00:59:28,069
+这么爽吗
+
+627
+00:59:30,571 --> 00:59:32,073
+好爽
+
+628
+00:59:33,073 --> 00:59:36,577
+奶头变硬了呢
+
+629
+00:59:38,579 --> 00:59:42,583
+这样玩很爽吗
+
+630
+00:59:43,083 --> 00:59:44,085
+很爽
+
+631
+00:59:44,585 --> 00:59:46,587
+非常爽
+
+632
+00:59:49,089 --> 00:59:53,094
+肉棒变得很热
+
+633
+00:59:58,599 --> 01:00:01,102
+换左边奶子吧
+
+634
+01:00:02,102 --> 01:00:03,104
+好爽
+
+635
+01:00:15,616 --> 01:00:17,618
+肉棒变的好硬
+
+636
+01:00:22,623 --> 01:00:25,126
+变得很硬
+
+637
+01:00:28,629 --> 01:00:31,132
+硬梆梆的呢
+
+638
+01:00:36,637 --> 01:00:39,140
+玩更爽的玩法吧
+
+639
+01:00:39,139 --> 01:00:41,142
+-请转过身去 -是
+
+640
+01:00:41,141 --> 01:00:41,642
+-请转过身去-是
+
+641
+01:00:41,642 --> 01:00:42,143
+-请转过身去 -是
+
+642
+01:00:48,649 --> 01:00:49,150
+-现在帮你摩擦背部-是
+
+643
+01:00:49,149 --> 01:00:50,651
+-现在帮你摩擦背部 -是
+
+644
+01:00:50,651 --> 01:00:53,154
+-现在帮你摩擦背部-是
+
+645
+01:00:53,153 --> 01:00:55,156
+-现在帮你摩擦背部 -是
+
+646
+01:00:55,155 --> 01:00:56,657
+-现在帮你摩擦背部-是
+
+647
+01:01:05,666 --> 01:01:09,670
+奶子碰到背部 有感觉吗
+
+648
+01:01:10,170 --> 01:01:11,172
+有感觉
+
+649
+01:01:14,174 --> 01:01:18,179
+同时玩你的奶头
+
+650
+01:01:20,180 --> 01:01:23,184
+这样更舒服呢
+
+651
+01:01:24,184 --> 01:01:25,686
+很舒服
+
+652
+01:01:26,687 --> 01:01:28,189
+玩奶头
+
+653
+01:01:30,691 --> 01:01:33,194
+同时摸肉棒
+
+654
+01:01:33,694 --> 01:01:34,195
+-这样更兴奋呢 -是
+
+655
+01:01:34,194 --> 01:01:34,695
+-这样更兴奋呢-是
+
+656
+01:01:34,695 --> 01:01:35,196
+-这样更兴奋呢 -是
+
+657
+01:01:35,195 --> 01:01:38,199
+-这样更兴奋呢-是
+
+658
+01:01:38,198 --> 01:01:38,699
+-这样更兴奋呢 -是
+
+659
+01:01:38,699 --> 01:01:39,200
+-这样更兴奋呢-是
+
+660
+01:01:41,702 --> 01:01:44,705
+比刚才还要硬呢
+
+661
+01:01:45,205 --> 01:01:46,207
+好爽
+
+662
+01:02:07,227 --> 01:02:10,231
+你果然很敏感呢
+
+663
+01:02:11,231 --> 01:02:12,733
+很爽吗
+
+664
+01:02:13,233 --> 01:02:14,735
+我觉得很爽
+
+665
+01:02:14,735 --> 01:02:16,237
+好可爱
+
+666
+01:02:17,738 --> 01:02:19,240
+玩奶头
+
+667
+01:02:21,241 --> 01:02:25,746
+摸你的奶头
+
+668
+01:02:27,247 --> 01:02:29,750
+摸你的肉棒
+
+669
+01:02:34,254 --> 01:02:36,257
+用脚夹住
+
+670
+01:02:40,761 --> 01:02:42,263
+好厉害
+
+671
+01:02:43,263 --> 01:02:45,266
+这样爽吗
+
+672
+01:02:46,266 --> 01:02:47,768
+很爽
+
+673
+01:02:51,271 --> 01:02:53,774
+肉棒又变大了呢
+
+674
+01:02:53,774 --> 01:02:55,276
+用脚玩肉棒
+
+675
+01:02:59,279 --> 01:03:01,782
+肉棒变很硬
+
+676
+01:03:02,282 --> 01:03:04,785
+摩擦得这么爽
+
+677
+01:03:05,285 --> 01:03:07,288
+你很变态呢
+
+678
+01:03:10,791 --> 01:03:12,293
+好好享受吧
+
+679
+01:03:14,795 --> 01:03:18,299
+同时玩奶头
+
+680
+01:03:20,300 --> 01:03:21,802
+还不能射哦
+
+681
+01:03:22,803 --> 01:03:25,306
+请趴在软垫上
+
+682
+01:03:25,305 --> 01:03:26,807
+趴着吗
+
+683
+01:03:30,310 --> 01:03:32,813
+你喜欢害羞姿势呢
+
+684
+01:03:33,313 --> 01:03:34,315
+是
+
+685
+01:03:34,815 --> 01:03:37,318
+这样很兴奋
+
+686
+01:03:38,318 --> 01:03:39,820
+-果然很兴奋呢-是
+
+687
+01:03:39,820 --> 01:03:40,321
+-果然很兴奋呢 -是
+
+688
+01:03:40,320 --> 01:03:40,821
+-果然很兴奋呢-是
+
+689
+01:03:40,821 --> 01:03:41,322
+-果然很兴奋呢 -是
+
+690
+01:03:41,321 --> 01:03:41,822
+-果然很兴奋呢-是
+
+691
+01:03:42,322 --> 01:03:43,824
+这样
+
+692
+01:03:54,334 --> 01:04:01,842
+这样子摸奶头 感觉怎样
+
+693
+01:04:02,843 --> 01:04:06,847
+-换个姿势-好爽
+
+694
+01:04:07,347 --> 01:04:15,356
+肉棒变的很大哦
+
+695
+01:04:17,858 --> 01:04:20,361
+-帮你打枪-好爽
+
+696
+01:04:20,861 --> 01:04:23,364
+肉棒变得很热哦
+
+697
+01:04:32,873 --> 01:04:39,380
+像这样抓着你的肉棒
+
+698
+01:04:40,380 --> 01:04:43,384
+舔你的菊花
+
+699
+01:04:46,386 --> 01:04:48,389
+感觉很兴奋呢
+
+700
+01:04:49,389 --> 01:04:50,891
+受不了了
+
+701
+01:04:57,898 --> 01:04:58,899
+-这样爽吗-非常爽
+
+702
+01:04:58,899 --> 01:04:59,400
+-这样爽吗 -非常爽
+
+703
+01:04:59,399 --> 01:05:01,902
+-这样爽吗-非常爽
+
+704
+01:05:02,402 --> 01:05:06,407
+肉棒跟菊花被同时玩弄
+
+705
+01:05:10,911 --> 01:05:13,414
+肉棒变的很硬哦
+
+706
+01:05:23,423 --> 01:05:26,427
+你很喜欢这样玩呢
+
+707
+01:05:29,930 --> 01:05:36,937
+用奶子来摩擦屁股
+
+708
+01:05:37,938 --> 01:05:39,440
+兴奋吗
+
+709
+01:05:46,947 --> 01:05:52,453
+用奶子摩擦屁股
+
+710
+01:05:53,954 --> 01:05:55,456
+摩擦屁股
+
+711
+01:06:06,466 --> 01:06:08,969
+屁股一直抖呢
+
+712
+01:06:11,972 --> 01:06:15,976
+你没这样玩过吧
+
+713
+01:06:17,978 --> 01:06:19,480
+像这样
+
+714
+01:06:19,980 --> 01:06:21,982
+摩擦你的屁缝
+
+715
+01:06:31,491 --> 01:06:35,996
+奶子按摩屁股
+
+716
+01:06:35,996 --> 01:06:36,997
+奶子按摩屁股你应该没有体验过吧
+
+717
+01:06:36,997 --> 01:06:38,999
+奶子按摩屁股
+
+718
+01:06:48,509 --> 01:06:50,011
+好柔软
+
+719
+01:06:53,514 --> 01:06:58,519
+请好好享受吧
+
+720
+01:07:06,026 --> 01:07:07,028
+好爽
+
+721
+01:07:23,043 --> 01:07:26,547
+有感受到我的身体吗
+
+722
+01:07:28,048 --> 01:07:30,051
+很舒服
+
+723
+01:07:31,051 --> 01:07:31,552
+-有感觉到奶子吗-有
+
+724
+01:07:31,552 --> 01:07:32,553
+-有感觉到奶子吗 -有
+
+725
+01:07:32,553 --> 01:07:34,555
+-有感觉到奶子吗-有
+
+726
+01:07:55,075 --> 01:08:00,081
+请你转到正面吧
+
+727
+01:08:01,582 --> 01:08:02,583
+是
+
+728
+01:08:14,094 --> 01:08:15,096
+是
+
+729
+01:08:19,600 --> 01:08:21,102
+像这样
+
+730
+01:08:24,604 --> 01:08:25,606
+好爽
+
+731
+01:08:30,109 --> 01:08:34,115
+碰到你的肉棒
+
+732
+01:08:38,118 --> 01:08:39,120
+对不起
+
+733
+01:08:41,121 --> 01:08:42,623
+因为太爽了
+
+734
+01:08:44,124 --> 01:08:44,625
+-肉棒变得很大呢-是
+
+735
+01:08:44,625 --> 01:08:47,128
+-肉棒变得很大呢 -是
+
+736
+01:08:47,127 --> 01:08:47,628
+-肉棒变得很大呢-是
+
+737
+01:08:47,627 --> 01:08:49,130
+-肉棒变得很大呢 -是
+
+738
+01:08:50,631 --> 01:08:52,133
+好爽
+
+739
+01:08:53,634 --> 01:08:54,135
+-奶子舒服吗-很爽
+
+740
+01:08:54,134 --> 01:08:54,635
+-奶子舒服吗 -很爽
+
+741
+01:08:54,635 --> 01:08:56,637
+-奶子舒服吗-很爽
+
+742
+01:08:56,636 --> 01:08:57,638
+-奶子舒服吗 -很爽
+
+743
+01:09:03,644 --> 01:09:08,649
+奶子可以感受肉棒很热哦
+
+744
+01:09:10,149 --> 01:09:11,652
+很害羞
+
+745
+01:09:12,152 --> 01:09:13,654
+舔身体
+
+746
+01:09:36,676 --> 01:09:39,180
+肉棒变得好硬
+
+747
+01:09:41,180 --> 01:09:46,687
+刚才打脚炮 好像很爽
+
+748
+01:09:47,187 --> 01:09:49,690
+这次换这样
+
+749
+01:09:55,195 --> 01:10:00,201
+这样夹肉棒 感觉怎样
+
+750
+01:10:14,715 --> 01:10:16,717
+肉棒变很硬哦
+
+751
+01:10:18,218 --> 01:10:20,721
+我快要射了
+
+752
+01:10:21,722 --> 01:10:24,725
+请射出来
+
+753
+01:10:26,226 --> 01:10:27,728
+好好享受
+
+754
+01:10:30,230 --> 01:10:32,233
+我要射了
+
+755
+01:10:34,735 --> 01:10:35,736
+射了
+
+756
+01:10:39,740 --> 01:10:42,243
+射很多呢
+
+757
+01:10:49,750 --> 01:10:51,752
+很舒服吗
+
+758
+01:10:52,753 --> 01:10:53,754
+是
+
+759
+01:10:56,757 --> 01:11:00,761
+我也想要舒服
+
+760
+01:11:03,263 --> 01:11:08,269
+我们一起舒服吧
+
+761
+01:11:08,769 --> 01:11:10,271
+是
+
+762
+01:11:32,793 --> 01:11:34,795
+好舒服
+
+763
+01:11:36,296 --> 01:11:37,798
+真爽
+
+764
+01:11:47,307 --> 01:11:52,813
+才刚射过而已 又变硬了
+
+765
+01:12:34,855 --> 01:12:36,357
+好舒服
+
+766
+01:12:42,863 --> 01:12:44,365
+真爽
+
+767
+01:12:50,370 --> 01:12:52,373
+小穴好舒服
+
+768
+01:13:07,888 --> 01:13:15,896
+我可以用奶子夹肉棒吗
+
+769
+01:13:20,400 --> 01:13:21,402
+好棒
+
+770
+01:13:25,405 --> 01:13:33,914
+因为肉棒很硬
+
+771
+01:13:33,914 --> 01:13:35,416
+好棒
+
+772
+01:13:35,415 --> 01:13:38,919
+肉棒被夹的好爽
+
+773
+01:13:39,920 --> 01:13:42,423
+-有感觉吧-是
+
+774
+01:13:43,423 --> 01:13:46,927
+-请好好享受吧-是
+
+775
+01:13:50,430 --> 01:13:54,935
+这样玩爽
+
+776
+01:13:55,936 --> 01:13:57,438
+非常爽
+
+777
+01:13:58,438 --> 01:14:00,941
+这样很爽呢
+
+778
+01:14:03,944 --> 01:14:05,446
+快射了
+
+779
+01:14:05,946 --> 01:14:07,948
+请射出来
+
+780
+01:14:09,950 --> 01:14:14,455
+这样很兴奋呢
+
+781
+01:14:19,960 --> 01:14:21,462
+快射了
+
+782
+01:14:21,962 --> 01:14:23,464
+射了
+
+783
+01:14:27,968 --> 01:14:29,970
+射很多呢
+
+784
+01:14:30,971 --> 01:14:33,474
+这么爽吗
+
+785
+01:14:36,977 --> 01:14:37,978
+没精液了
+
+786
+01:14:45,986 --> 01:14:49,490
+打你炮这么爽吗
+
+787
+01:14:51,491 --> 01:14:53,494
+对非常爽
+
+788
+01:14:55,996 --> 01:15:00,000
+你兴奋 我也很兴奋
+
+789
+01:15:08,008 --> 01:15:13,014
+要不要来打炮呢
+
+790
+01:15:18,018 --> 01:15:21,522
+肉棒摩擦小穴
+
+791
+01:15:27,027 --> 01:15:29,530
+肉棒变硬了呢
+
+792
+01:15:34,034 --> 01:15:35,536
+很舒服
+
+793
+01:15:37,538 --> 01:15:38,539
+舒服吗
+
+794
+01:15:38,539 --> 01:15:40,041
+是
+
+795
+01:15:40,040 --> 01:15:43,544
+-很爽-肉棒插进去的话
+
+796
+01:15:43,544 --> 01:15:44,045
+-很爽 -肉棒插进去的话
+
+797
+01:15:44,044 --> 01:15:45,546
+-很爽-肉棒插进去的话
+
+798
+01:15:45,546 --> 01:15:46,047
+-很爽 -肉棒插进去的话
+
+799
+01:15:46,046 --> 01:15:46,547
+-很爽-肉棒插进去的话
+
+800
+01:15:47,047 --> 01:15:49,550
+一定会更爽呢
+
+801
+01:15:55,055 --> 01:15:56,557
+像这样
+
+802
+01:15:58,559 --> 01:15:59,560
+插进来
+
+803
+01:16:04,565 --> 01:16:06,567
+肉棒进来了呢
+
+804
+01:16:12,573 --> 01:16:15,576
+肉棒插的很深
+
+805
+01:16:16,577 --> 01:16:17,578
+是的
+
+806
+01:16:29,089 --> 01:16:31,592
+涂一点润滑油
+
+807
+01:16:42,603 --> 01:16:46,607
+请好好享受
+
+808
+01:17:03,123 --> 01:17:04,625
+好爽
+
+809
+01:17:05,626 --> 01:17:07,128
+好棒
+
+810
+01:17:13,634 --> 01:17:17,138
+插入的样子看的很清楚呢
+
+811
+01:17:22,643 --> 01:17:25,146
+肉棒插的很深
+
+812
+01:17:27,648 --> 01:17:28,649
+好爽
+
+813
+01:17:34,655 --> 01:17:36,157
+好舒服
+
+814
+01:17:36,156 --> 01:17:38,159
+插的很深
+
+815
+01:17:39,660 --> 01:17:41,662
+快射了
+
+816
+01:17:42,162 --> 01:17:43,664
+请射出来
+
+817
+01:17:44,665 --> 01:17:47,168
+请射在里面吧
+
+818
+01:17:51,672 --> 01:17:53,174
+好爽
+
+819
+01:17:57,678 --> 01:17:59,680
+不行 要射了
+
+820
+01:18:01,181 --> 01:18:02,183
+射了
+
+821
+01:18:18,198 --> 01:18:20,201
+请看清楚
+
+822
+01:18:32,713 --> 01:18:34,715
+射出来了
+
+823
+01:18:36,216 --> 01:18:37,718
+舒服吗
+
+824
+01:18:39,219 --> 01:18:40,721
+很舒服
+
+825
+01:18:40,721 --> 01:18:44,225
+要不要换姿势呢
+
+826
+01:18:51,732 --> 01:18:53,734
+像这样
+
+827
+01:18:57,237 --> 01:19:00,741
+有玩过这种姿势吗
+
+828
+01:19:02,242 --> 01:19:03,744
+这样吗
+
+829
+01:19:15,255 --> 01:19:20,261
+跟刚才的感觉不同呢
+
+830
+01:19:20,260 --> 01:19:21,762
+是
+
+831
+01:19:22,262 --> 01:19:23,764
+好爽
+
+832
+01:19:24,264 --> 01:19:27,268
+很少这样干吧
+
+833
+01:19:27,267 --> 01:19:28,269
+是
+
+834
+01:19:28,769 --> 01:19:33,274
+请好好享受
+
+835
+01:19:57,297 --> 01:20:01,302
+被干的好舒服
+
+836
+01:20:06,306 --> 01:20:08,309
+好舒服
+
+837
+01:20:08,809 --> 01:20:09,810
+好爽
+
+838
+01:20:17,818 --> 01:20:21,822
+干的我好舒服
+
+839
+01:20:29,830 --> 01:20:32,333
+肉棒很硬呢
+
+840
+01:20:32,332 --> 01:20:36,837
+肉棒插的很深哦
+
+841
+01:20:41,842 --> 01:20:45,846
+再来换背后位吧
+
+842
+01:20:45,846 --> 01:20:46,847
+是
+
+843
+01:20:54,855 --> 01:20:56,857
+-插进去吧-是
+
+844
+01:21:01,862 --> 01:21:05,866
+肉棒果然很硬呢
+
+845
+01:21:06,867 --> 01:21:08,369
+好舒服
+
+846
+01:21:12,372 --> 01:21:16,377
+插很深 你有感觉吗
+
+847
+01:21:16,877 --> 01:21:17,878
+是
+
+848
+01:21:31,892 --> 01:21:36,897
+肉棒插的很深
+
+849
+01:21:37,898 --> 01:21:39,900
+插的很深
+
+850
+01:21:41,401 --> 01:21:44,405
+喜欢背后位吗
+
+851
+01:21:44,404 --> 01:21:44,905
+很喜欢 像这样
+
+852
+01:21:44,905 --> 01:21:46,907
+-很喜欢-像这样
+
+853
+01:21:47,407 --> 01:21:47,908
+一动来动去 好棒
+
+854
+01:21:47,908 --> 01:21:48,409
+-动来动去 -好棒
+
+855
+01:21:48,408 --> 01:21:50,911
+-动来动去-好棒
+
+856
+01:21:50,911 --> 01:21:51,412
+一动来动去 好棒
+
+857
+01:21:59,920 --> 01:22:02,423
+喜欢这样玩吗
+
+858
+01:22:02,923 --> 01:22:04,925
+我很喜欢
+
+859
+01:22:07,928 --> 01:22:09,430
+插的很深呢
+
+860
+01:22:10,931 --> 01:22:12,433
+像这样
+
+861
+01:22:14,434 --> 01:22:15,436
+好爽
+
+862
+01:22:21,942 --> 01:22:23,444
+这样很爽
+
+863
+01:22:34,454 --> 01:22:36,457
+好好享受
+
+864
+01:22:41,962 --> 01:22:45,466
+小穴好舒服
+
+865
+01:22:54,975 --> 01:22:56,477
+好棒
+
+866
+01:22:57,978 --> 01:23:00,981
+肉棒插的很深
+
+867
+01:23:22,503 --> 01:23:27,008
+-再来换正常位 -是
+
+868
+01:23:27,007 --> 01:23:28,009
+-再来换正常位-是
+
+869
+01:23:43,524 --> 01:23:45,026
+好棒
+
+870
+01:23:52,533 --> 01:23:54,035
+好棒
+
+871
+01:23:56,036 --> 01:24:01,042
+肉棒插的很深
+
+872
+01:24:02,042 --> 01:24:06,047
+好好享受 射多一点
+
+873
+01:24:06,547 --> 01:24:07,548
+是
+
+874
+01:24:11,051 --> 01:24:12,053
+好爽
+
+875
+01:24:15,556 --> 01:24:17,058
+快射了
+
+876
+01:24:17,558 --> 01:24:20,061
+射吧
+
+877
+01:24:22,062 --> 01:24:23,564
+不行
+
+878
+01:24:32,072 --> 01:24:33,574
+抱歉
+
+879
+01:24:34,074 --> 01:24:36,077
+射很多呢
+
+880
+01:24:41,582 --> 01:24:46,587
+-舒服吗-非常爽
+
+881
+01:24:49,089 --> 01:24:51,092
+不过
+
+882
+01:24:53,594 --> 01:24:55,596
+还有精液吧
+
+883
+01:25:03,103 --> 01:25:04,605
+好爽
+
+884
+01:25:13,113 --> 01:25:15,116
+又变的很硬
+
+885
+01:25:17,117 --> 01:25:17,618
+-才刚射 -像这样
+
+886
+01:25:17,618 --> 01:25:18,119
+-才刚射-像这样
+
+887
+01:25:18,118 --> 01:25:19,120
+-才刚射 -像这样
+
+888
+01:25:19,119 --> 01:25:19,620
+-才刚射-像这样
+
+889
+01:25:19,620 --> 01:25:20,621
+-才刚射 -像这样
+
+890
+01:25:25,626 --> 01:25:26,627
+不行
+
+891
+01:25:28,128 --> 01:25:29,130
+好爽
+
+892
+01:25:42,142 --> 01:25:44,645
+肉棒变的好硬
+
+893
+01:25:49,149 --> 01:25:50,151
+好爽
+
+894
+01:25:57,157 --> 01:25:59,660
+还要做爱吗
+
+895
+01:25:59,660 --> 01:26:02,663
+还可以射精吧
+
+896
+01:26:02,663 --> 01:26:05,166
+我已经不行了
+
+897
+01:26:07,167 --> 01:26:08,669
+-已经-射不出来了
+
+898
+01:26:08,669 --> 01:26:10,171
+-已经 -射不出来了
+
+899
+01:26:10,170 --> 01:26:11,172
+-已经-射不出来了
+
+900
+01:26:16,677 --> 01:26:20,181
+肉棒很硬哦
+
+901
+01:26:25,686 --> 01:26:30,691
+-不行了-肉棒很硬哦
+
+902
+01:26:33,694 --> 01:26:36,697
+还想要射精吧
+
+903
+01:26:37,197 --> 01:26:39,700
+已经没有了
+
+904
+01:26:41,702 --> 01:26:43,204
+没有精液了
+
+905
+01:26:47,708 --> 01:26:49,210
+不行
+
+906
+01:26:52,713 --> 01:26:54,215
+像这样动
+
+907
+01:27:00,220 --> 01:27:02,223
+这样做爱 怎样啊
+
+908
+01:27:11,732 --> 01:27:13,234
+玩亲亲
+
+909
+01:27:39,760 --> 01:27:41,762
+好爽
+
+910
+01:27:46,767 --> 01:27:49,270
+好好享受吧
+
+911
+01:27:55,275 --> 01:27:57,278
+像这样
+
+912
+01:28:00,781 --> 01:28:03,284
+上下动
+
+913
+01:28:03,784 --> 01:28:04,785
+-喜欢这样玩吗-是
+
+914
+01:28:04,785 --> 01:28:05,286
+-喜欢这样玩吗 -是
+
+915
+01:28:05,285 --> 01:28:06,787
+-喜欢这样玩吗-是
+
+916
+01:28:14,795 --> 01:28:16,297
+危险
+
+917
+01:28:19,299 --> 01:28:20,801
+太爽了
+
+918
+01:28:21,301 --> 01:28:27,308
+看得见插入的样子呢
+
+919
+01:28:36,817 --> 01:28:40,321
+又快射了
+
+920
+01:28:40,320 --> 01:28:41,822
+请射出来
+
+921
+01:28:42,322 --> 01:28:47,328
+请射到满足为止
+
+922
+01:28:47,828 --> 01:28:49,330
+射到爽为止
+
+923
+01:28:53,834 --> 01:28:55,336
+肉棒好硬
+
+924
+01:28:59,840 --> 01:29:02,343
+要射了
+
+925
+01:29:07,347 --> 01:29:09,350
+射很多呢
+
+926
+01:29:10,851 --> 01:29:12,853
+最后用夹的
+
+927
+01:29:14,855 --> 01:29:16,357
+用奶子夹
+
+928
+01:29:18,358 --> 01:29:20,861
+不行
+
+929
+01:29:20,861 --> 01:29:23,864
+射了
+
+930
+01:29:31,371 --> 01:29:32,873
+好棒
+
+931
+01:29:36,877 --> 01:29:40,381
+射了很多呢
+
+932
+01:29:50,891 --> 01:29:54,395
+-舒服吗-非常爽
+
+933
+01:29:54,394 --> 01:29:55,396
+-舒服吗 -非常爽
+
+934
+01:29:55,395 --> 01:29:55,896
+-舒服吗-非常爽
+
+935
+01:29:55,896 --> 01:29:57,898
+还能射吗
+
+936
+01:29:58,398 --> 01:29:59,900
+没办法了
+
+937
+01:30:06,406 --> 01:30:09,910
+没办法了
+
+938
+01:30:10,410 --> 01:30:11,412
+爽吗
+
+939
+01:30:12,412 --> 01:30:14,415
+休息一下吧
+
+940
+01:30:16,917 --> 01:30:19,920
+再多射一点吧
+
+941
+01:30:20,921 --> 01:30:21,922
+是
+
+942
+01:31:29,990 --> 01:31:32,993
+时间快要结束了
+
+943
+01:31:34,995 --> 01:31:35,496
+-请多射几次吧 -是
+
+944
+01:31:35,495 --> 01:31:36,997
+-请多射几次吧-是
+
+945
+01:31:36,997 --> 01:31:37,498
+-请多射几次吧 -是
+
+946
+01:31:37,497 --> 01:31:38,499
+-请多射几次吧-是
+
+947
+01:31:38,498 --> 01:31:38,999
+-请多射几次吧 -是
+
+948
+01:31:38,999 --> 01:31:44,005
+-请多射几次吧-是
+
+949
+01:32:03,023 --> 01:32:07,028
+请品尝我的奶子
+
+950
+01:32:10,030 --> 01:32:11,532
+太棒了
+
+951
+01:32:21,041 --> 01:32:23,544
+请多吸一点
+
+952
+01:32:38,058 --> 01:32:40,061
+真好吃
+
+953
+01:32:45,065 --> 01:32:50,071
+好棒 被舔的好爽
+
+954
+01:33:11,592 --> 01:33:15,096
+奶头好舒服
+
+955
+01:33:34,114 --> 01:33:42,623
+我也来让你爽吧
+
+956
+01:33:44,124 --> 01:33:45,626
+摸奶头
+
+957
+01:33:46,627 --> 01:33:49,130
+奶头爽吗
+
+958
+01:33:49,630 --> 01:33:50,631
+很爽
+
+959
+01:33:52,633 --> 01:33:54,635
+身体在发抖呢
+
+960
+01:33:55,135 --> 01:33:56,637
+请让我舒服
+
+961
+01:33:57,638 --> 01:34:04,645
+不只是奶头 肉棒也很硬
+
+962
+01:34:11,151 --> 01:34:12,653
+好爽
+
+963
+01:34:15,656 --> 01:34:17,658
+肉棒舒服吗
+
+964
+01:34:18,659 --> 01:34:20,661
+请玩弄我
+
+965
+01:34:25,666 --> 01:34:29,670
+直接摸肉棒
+
+966
+01:34:38,679 --> 01:34:40,681
+肉棒好硬
+
+967
+01:34:56,697 --> 01:34:59,200
+肉棒很大呢
+
+968
+01:34:59,700 --> 01:35:01,202
+舔奶头
+
+969
+01:35:06,707 --> 01:35:07,708
+好爽
+
+970
+01:35:10,711 --> 01:35:15,716
+射这么多次 还这么硬
+
+971
+01:35:22,723 --> 01:35:24,225
+不行
+
+972
+01:35:29,730 --> 01:35:31,732
+还不能射哦
+
+973
+01:35:34,735 --> 01:35:36,737
+请躺下来
+
+974
+01:35:36,737 --> 01:35:37,738
+是
+
+975
+01:35:43,744 --> 01:35:45,246
+帮你吹
+
+976
+01:36:24,785 --> 01:36:26,287
+舒服吗
+
+977
+01:36:27,788 --> 01:36:29,790
+这样子
+
+978
+01:36:30,791 --> 01:36:36,797
+用我的奶子夹
+
+979
+01:36:37,297 --> 01:36:40,301
+这样夹很爽吗
+
+980
+01:36:48,809 --> 01:36:50,311
+这样动
+
+981
+01:36:52,813 --> 01:36:55,316
+让你爽歪歪
+
+982
+01:36:56,316 --> 01:36:57,818
+夹到你爽
+
+983
+01:37:05,325 --> 01:37:08,329
+-喜欢你炮吗-喜欢
+
+984
+01:37:09,830 --> 01:37:11,332
+这样子玩
+
+985
+01:37:14,334 --> 01:37:16,837
+这样摩擦 舒服吗
+
+986
+01:37:18,839 --> 01:37:20,341
+很舒服
+
+987
+01:37:37,858 --> 01:37:38,359
+用史害羞的姿势
+
+988
+01:37:38,358 --> 01:37:38,859
+用史害羞的姿势来帮你打你炮
+
+989
+01:37:38,859 --> 01:37:39,360
+用史害羞的姿势
+
+990
+01:37:39,359 --> 01:37:39,860
+用史害羞的姿势来帮你打你炮
+
+991
+01:37:39,860 --> 01:37:40,861
+用史害益的姿努来帮你打你炮
+
+992
+01:37:40,861 --> 01:37:41,362
+用史害益的娄努来帮你打你炮
+
+993
+01:37:42,362 --> 01:37:42,863
+用史害羞的姿势
+
+994
+01:37:42,863 --> 01:37:43,864
+用史害羞的姿务来帮你打你炮
+
+995
+01:37:44,364 --> 01:37:44,865
+用史害益的姿务来帮你打你炮
+
+996
+01:37:45,365 --> 01:37:45,866
+用史害羞的姿势来帮你打你炮
+
+997
+01:37:45,866 --> 01:37:46,367
+用史害羞的姿务来帮你打你炮
+
+998
+01:37:46,366 --> 01:37:46,867
+用史害羞的姿势来帮你打你炮
+
+999
+01:37:46,867 --> 01:37:48,369
+害羞姿势
+
+1000
+01:37:51,872 --> 01:37:53,374
+这样子
+
+1001
+01:38:07,888 --> 01:38:12,393
+肉棒变的很硬呢
+
+1002
+01:38:26,907 --> 01:38:28,409
+好舒服
+
+1003
+01:38:29,910 --> 01:38:34,915
+这样夹肉棒 怎样啊
+
+1004
+01:38:34,915 --> 01:38:38,919
+第一次这样玩
+
+1005
+01:38:38,919 --> 01:38:42,923
+这种姿势 肉棒还是很硬
+
+1006
+01:38:45,425 --> 01:38:47,428
+你真变态
+
+1007
+01:38:52,933 --> 01:38:57,938
+肉棒变得非常硬
+
+1008
+01:39:11,451 --> 01:39:13,454
+肉棒好硬
+
+1009
+01:39:19,459 --> 01:39:21,462
+-请射出来 -可以吗
+
+1010
+01:39:27,968 --> 01:39:29,470
+要射了
+
+1011
+01:39:40,480 --> 01:39:42,483
+射出来了呢
+
+1012
+01:39:43,483 --> 01:39:45,986
+还可以射吗
+
+1013
+01:39:46,987 --> 01:39:47,488
+-还可以吧 -是
+
+1014
+01:39:47,487 --> 01:39:48,489
+-还可以吧-是
+
+1015
+01:39:48,488 --> 01:39:49,490
+-还可以吧 -是
+
+1016
+01:39:51,992 --> 01:39:55,996
+请你射到满足为止
+
+1017
+01:39:57,497 --> 01:40:00,501
+才刚射又变的很硬
+
+1018
+01:40:08,008 --> 01:40:10,511
+再多射几次
+
+1019
+01:40:11,512 --> 01:40:15,516
+你可以让我爽吗
+
+1020
+01:40:16,517 --> 01:40:17,518
+是
+
+1021
+01:40:22,022 --> 01:40:23,524
+像这样
+
+1022
+01:40:29,530 --> 01:40:33,534
+请舔我的小穴
+
+1023
+01:40:53,554 --> 01:40:57,058
+肉棒好硬
+
+1024
+01:41:17,578 --> 01:41:19,080
+好棒
+
+1025
+01:41:21,081 --> 01:41:23,584
+小穴好舒服
+
+1026
+01:41:42,603 --> 01:41:44,605
+真舒服
+
+1027
+01:41:56,116 --> 01:41:58,119
+好棒 可以吗
+
+1028
+01:42:12,132 --> 01:42:13,634
+怎样呢
+
+1029
+01:42:15,135 --> 01:42:21,142
+请插我的小穴
+
+1030
+01:42:25,145 --> 01:42:26,647
+好棒
+
+1031
+01:42:30,150 --> 01:42:31,152
+这样吗
+
+1032
+01:42:33,153 --> 01:42:35,156
+用力插吧
+
+1033
+01:42:46,667 --> 01:42:48,669
+你好棒
+
+1034
+01:43:06,186 --> 01:43:07,688
+去了
+
+1035
+01:43:14,695 --> 01:43:16,197
+好棒
+
+1036
+01:43:22,703 --> 01:43:25,206
+请舔我的小穴
+
+1037
+01:43:33,213 --> 01:43:34,715
+这样子
+
+1038
+01:43:50,230 --> 01:43:52,733
+小穴好舒服
+
+1039
+01:44:10,250 --> 01:44:14,255
+被你舔的好爽
+
+1040
+01:44:19,259 --> 01:44:24,765
+差不多要做爱了吧
+
+1041
+01:44:27,267 --> 01:44:28,769
+好
+
+1042
+01:44:45,285 --> 01:44:46,787
+我躺下去
+
+1043
+01:44:55,295 --> 01:44:56,797
+像这样
+
+1044
+01:45:02,302 --> 01:45:03,804
+好好享受吧
+
+1045
+01:45:25,325 --> 01:45:28,829
+肉棒变的更硬
+
+1046
+01:45:40,340 --> 01:45:43,344
+用力干我吧
+
+1047
+01:45:48,849 --> 01:45:50,351
+这样子
+
+1048
+01:45:51,351 --> 01:45:54,355
+请看插入的样子
+
+1049
+01:45:58,358 --> 01:46:00,361
+插的好深
+
+1050
+01:46:00,360 --> 01:46:03,864
+-有看到吗-有
+
+1051
+01:46:05,866 --> 01:46:08,869
+-有看清楚吗-有
+
+1052
+01:46:09,369 --> 01:46:10,871
+插入的样子
+
+1053
+01:46:20,881 --> 01:46:25,886
+肉棒插到小穴深处
+
+1054
+01:46:46,907 --> 01:46:50,411
+这样动爽吗
+
+1055
+01:46:51,912 --> 01:46:53,414
+很舒服
+
+1056
+01:46:55,916 --> 01:46:57,918
+爽吗
+
+1057
+01:47:15,435 --> 01:47:18,439
+插到小穴深处
+
+1058
+01:47:48,969 --> 01:47:50,471
+好舒服
+
+1059
+01:47:52,973 --> 01:47:55,976
+肉棒变的好硬
+
+1060
+01:47:57,477 --> 01:48:00,981
+玩弄你的奶头
+
+1061
+01:48:00,981 --> 01:48:02,483
+这样很爽
+
+1062
+01:48:02,983 --> 01:48:05,986
+-感觉怎样-很爽
+
+1063
+01:48:05,986 --> 01:48:06,487
+-感觉怎样 -很爽
+
+1064
+01:48:06,486 --> 01:48:06,987
+-感觉怎样-很爽
+
+1065
+01:48:09,489 --> 01:48:13,494
+肉棒插的我好爽
+
+1066
+01:48:14,494 --> 01:48:16,997
+不行
+
+1067
+01:48:26,006 --> 01:48:28,009
+射了很多
+
+1068
+01:48:31,011 --> 01:48:32,513
+身体在发抖
+
+1069
+01:48:40,521 --> 01:48:43,024
+要看清楚哦
+
+1070
+01:49:06,046 --> 01:49:08,549
+从后面插我
+
+1071
+01:49:12,052 --> 01:49:13,554
+像这样
+
+1072
+01:49:26,066 --> 01:49:27,568
+要插了哦
+
+1073
+01:49:44,084 --> 01:49:45,086
+好爽
+
+1074
+01:49:55,596 --> 01:49:59,100
+好爽 用力干我
+
+1075
+01:50:04,104 --> 01:50:09,610
+请用力干我吧
+
+1076
+01:50:15,115 --> 01:50:16,617
+舒服吗
+
+1077
+01:50:31,131 --> 01:50:36,137
+肉棒插到小穴深处
+
+1078
+01:50:42,142 --> 01:50:44,145
+好激烈
+
+1079
+01:50:45,145 --> 01:50:46,647
+好舒服
+
+1080
+01:50:48,649 --> 01:50:49,650
+去了
+
+1081
+01:50:57,157 --> 01:50:58,659
+真爽
+
+1082
+01:51:05,165 --> 01:51:07,168
+插到深处
+
+1083
+01:51:17,678 --> 01:51:19,680
+又要去了
+
+1084
+01:51:33,694 --> 01:51:35,696
+小穴被看光了
+
+1085
+01:51:45,205 --> 01:51:47,708
+肉棒插的好深
+
+1086
+01:51:49,209 --> 01:51:51,712
+肉棒插的真深
+
+1087
+01:52:19,740 --> 01:52:22,243
+请用力干我
+
+1088
+01:52:22,743 --> 01:52:24,745
+用力干我
+
+1089
+01:52:50,771 --> 01:52:52,273
+又要去了
+
+1090
+01:53:06,787 --> 01:53:10,291
+换正常位吧
+
+1091
+01:53:24,805 --> 01:53:27,308
+你喜欢正常位呢
+
+1092
+01:53:35,315 --> 01:53:39,320
+请用力干我
+
+1093
+01:53:43,824 --> 01:53:45,826
+我觉得好爽
+
+1094
+01:54:33,373 --> 01:54:34,375
+好爽
+
+1095
+01:54:40,881 --> 01:54:45,886
+肉棒插的好深
+
+1096
+01:54:45,886 --> 01:54:48,389
+我觉得好爽
+
+1097
+01:54:53,393 --> 01:54:56,397
+插的我好爽
+
+1098
+01:54:58,899 --> 01:55:01,902
+请用力干我
+
+1099
+01:55:19,419 --> 01:55:20,921
+好爽
+
+1100
+01:55:21,421 --> 01:55:23,424
+小穴好紧
+
+1101
+01:55:32,933 --> 01:55:34,935
+我快射了
+
+1102
+01:55:37,437 --> 01:55:42,443
+请射在我的奶子上
+
+1103
+01:55:44,945 --> 01:55:46,947
+我要射了
+
+1104
+01:55:54,454 --> 01:55:55,956
+好舒服
+
+1105
+01:56:53,514 --> 01:56:54,015
+觉得舒服吗
+
+1106
+01:56:58,519 --> 01:56:59,520
+是
+
+1107
+01:57:00,521 --> 01:57:01,522
+不过
+
+1108
+01:57:06,026 --> 01:57:07,528
+还可以射吧
+
+1109
+01:57:08,028 --> 01:57:10,031
+还要玩吗
+
+1110
+01:57:17,538 --> 01:57:19,540
+我不行了
+
+1111
+01:57:32,052 --> 01:57:34,055
+快不行了
+
+1112
+01:57:34,555 --> 01:57:35,556
+我站不住了
+
+1113
+01:57:36,056 --> 01:57:36,557
+-可以躺吗-请躺下来
+
+1114
+01:57:36,557 --> 01:57:37,058
+-可以躺吗 -请躺下来
+
+1115
+01:57:37,057 --> 01:57:37,558
+-可以躺吗-请躺下来
+
+1116
+01:57:37,558 --> 01:57:38,059
+-可以躺吗 -请躺下来
+
+1117
+01:57:38,058 --> 01:57:38,559
+-可以躺吗-请躺下来
+
+1118
+01:57:46,066 --> 01:57:47,068
+像这样
+
+1119
+01:57:54,575 --> 01:58:01,582
+刚才你让我爽
+
+1120
+01:58:19,099 --> 01:58:23,104
+肉棒变得很硬哦
+
+1121
+01:58:24,104 --> 01:58:26,607
+还能射吧
+
+1122
+01:58:32,112 --> 01:58:36,117
+希望可以满足你
+
+1123
+01:58:39,119 --> 01:58:44,125
+请榨乾所有的精液
+
+1124
+01:58:54,635 --> 01:58:56,137
+快要射了
+
+1125
+01:58:57,137 --> 01:58:58,139
+请射出来
+
+1126
+01:58:59,640 --> 01:59:01,642
+全射出来
+
+1127
+01:59:03,644 --> 01:59:06,647
+把精液射光
+
+1128
+01:59:10,150 --> 01:59:12,653
+不行
+
+1129
+01:59:12,653 --> 01:59:13,654
+射了
+
+1130
+01:59:17,157 --> 01:59:18,659
+射了很多呢
+
+1131
+01:59:20,661 --> 01:59:23,664
+不过还能射吧
+
+1132
+01:59:24,164 --> 01:59:26,667
+-还可以 -不行
+
+1133
+01:59:32,673 --> 01:59:35,676
+射多一点吧
+
+1134
+01:59:40,180 --> 01:59:41,182
+要射了
+
+1135
+01:59:44,685 --> 01:59:49,190
+射了很多呢
+
+1136
+02:00:03,704 --> 02:00:05,706
+没有了吗
+
+1137
+02:00:13,714 --> 02:00:18,219
+先生 今天满足了吗
+
+1138
+02:00:21,221 --> 02:00:25,726
+射了很多精液呢
+
+1139
+02:00:29,730 --> 02:00:30,231
+如果下次有需要我会好好服务
+
+1140
+02:00:30,230 --> 02:00:30,731
+如来下次有需安我会好好服务
+
+1141
+02:00:30,731 --> 02:00:31,232
+如来下次有需要我会好好服务
+
+1142
+02:00:31,231 --> 02:00:31,732
+如果下次有需要我会好好服务
+
+1143
+02:00:31,732 --> 02:00:32,233
+如来下次有需要我会好好服务
+
+1144
+02:00:32,232 --> 02:00:32,733
+如果下次有需要我会好好服务
+
+1145
+02:00:32,733 --> 02:00:33,234
+我会好好服务
+
+1146
+02:00:33,233 --> 02:00:34,735
+如果下次有需要我会好好服务
+
+1147
+02:00:35,235 --> 02:00:36,237
+如果下次有需要我会好好服务
+
+1148
+02:00:36,236 --> 02:00:36,737
+我会好好服务
diff --git a/tests/shared/data/alignment/sample.reference.srt b/tests/shared/data/alignment/sample.reference.srt
new file mode 100644
index 0000000..c869510
--- /dev/null
+++ b/tests/shared/data/alignment/sample.reference.srt
@@ -0,0 +1,19 @@
+1
+00:00:00,000 --> 00:00:01,440
+---
+
+2
+00:00:01,440 --> 00:00:04,320
+SUB 001
+
+3
+00:00:05,760 --> 00:00:06,240
+---
+
+4
+00:00:06,240 --> 00:00:09,120
+SUB 002
+
+5
+00:00:09,600 --> 00:00:10,080
+---
diff --git a/tests/shared/env_isolation.py b/tests/shared/env_isolation.py
new file mode 100644
index 0000000..e565414
--- /dev/null
+++ b/tests/shared/env_isolation.py
@@ -0,0 +1,61 @@
+"""环境与临时目录隔离（供需要 `wov_app.config` 路径常量的模块测试使用）。
+
+规则要求测试可独立运行、不依赖全局 conftest，数据与产物目录就是测试代码
+所在目录：本模块把"创建独立数据目录并把应用指向它"封装成显式调用的函数，
+由各模块测试在自己的 fixture 里调用。
+
+失败模式说明：`wov_app.config` 在**导入时**读取环境变量并锁定路径常量
+（DATA_DIR / DB_PATH / STORAGE_DIR）。因此隔离必须在**首次导入** config
+之前完成：
+
+- 模块级导入的测试文件（如 `from wov_app.config import STORAGE_DIR`）应在
+ 文件顶部用 `configure_environment()`（不带 tmp_path 的进程级隔离）设置；
+- 测试函数内才导入 `wov_app` 的文件，可用 `isolated_data_dir(tmp_path)`
+ 在导入前覆盖到每个用例自己的临时目录。
+"""
+
+from __future__ import annotations
+
+import os
+import shutil
+import tempfile
+from pathlib import Path
+
+# 进程级临时根目录（进程退出即清理），供 `configure_environment()` 使用。
+_PROCESS_ROOT: Path | None = None
+
+
+def process_data_root() -> Path:
+ """返回（必要时创建）进程级测试数据根目录。
+
+ 与全局 conftest 的区别：这里不使用 pytest 的 autouse fixture，也不在
+ 导入时自动改环境变量；模块测试显式调用后才生效，因此单个模块目录
+ 可以脱离其他测试独立运行。
+ """
+ global _PROCESS_ROOT
+ if _PROCESS_ROOT is None:
+ _PROCESS_ROOT = Path(tempfile.mkdtemp(prefix="vrsub-test-"))
+ return _PROCESS_ROOT
+
+
+def configure_environment(data_root: Path | None = None) -> Path:
+ """把应用的数据目录、数据库、存储与后台服务指向独立测试目录。
+
+ 必须在导入 `wov_app.config`（或任何会导入它的模块）之前调用，
+ 否则路径常量已按默认值锁定。返回实际使用的数据根目录。
+ """
+ root = data_root or process_data_root()
+ os.environ["WOV_DATA_DIR"] = str(root / "data")
+ os.environ["WOV_DB_PATH"] = str(root / "data" / "wov.db")
+ os.environ["WOV_STORAGE_DIR"] = str(root / "storage")
+ # 默认关闭自动种子与后台线程：测试显式控制执行时机，避免与断言竞态。
+ os.environ["WOV_AUTO_SEED"] = "0"
+ os.environ["WOV_SCHEDULER_ENABLED"] = "0"
+ os.environ["WOV_CLEANUP_ENABLED"] = "0"
+ os.environ["WOV_BATCH_ENABLED"] = "0"
+ return root
+
+
+def cleanup_data_root(root: Path) -> None:
+ """清理测试数据根目录（忽略错误，进程退出或 fixture 收尾时调用）。"""
+ shutil.rmtree(root, ignore_errors=True)
diff --git a/tests/shared/gpu_memory.py b/tests/shared/gpu_memory.py
new file mode 100644
index 0000000..e0e6640
--- /dev/null
+++ b/tests/shared/gpu_memory.py
@@ -0,0 +1,131 @@
+"""GPU 显存探测与不足时跳过（供真实模型集成测试使用）。
+
+真实模型（faster-whisper + CUDA）需要足够的显存；显存被其他进程占用或本身
+偏小时，推理会在中途抛 "CUDA failed with error out of memory"。这属于**外部
+运行环境状态**，不是被测代码的行为，按测试规则应跳过而不是判失败。
+
+两层防护：
+
+1. `require_gpu_memory()`：运行前按模型体量估算所需显存，不足则跳过；
+2. `skip_on_cuda_oom()`：运行中若仍发生显存不足（被其他进程动态抢占），
+ 也会被识别并转为跳过，而不是让整个套件判红。
+
+探测不到 NVIDIA GPU（无 `nvidia-smi`，例如纯 CPU 机器）时**不做显存检查**：
+faster-whisper 的 `device=auto` 会回退 CPU，此时测试应当照常执行。
+"""
+
+from __future__ import annotations
+
+import shutil
+import subprocess
+from contextlib import contextmanager
+from pathlib import Path
+
+import pytest
+
+# 推理时的额外开销系数：CTranslate2 除权重外还需推理工作区、激活与 CUDA 上下文。
+# 实测标定（V2 权重 2.87GB，6GB 卡）：推理前占用约 1120 MiB，峰值约 5217 MiB
+# → 峰值增量约 4097 MiB ≈ 权重 × 1.39。系数取 1.45 覆盖 5% 分配余量，
+# 使 6GB 卡（可用约 4.6GB）刚好放行、而更小的卡会被拦下。
+#
+# 注意：这只给出"是否可能跑完"的预估。实测在临界卡上（余量仅数百 MB）
+# 即使预估通过仍可能因分配碎片化抛 CUDA OOM，所以还需要
+# `skip_on_cuda_oom` / `require_node_result` 作为运行中的兼底。
+_MEMORY_FACTOR = 1.45
+
+
+def available_gpu_memory_mb() -> int | None:
+ """返回当前可用的最大显存（MB）；无 NVIDIA GPU 或探测失败时返回 None。
+
+ 多卡时取可用显存最大的那张卡（推理默认只用一张卡）。
+ """
+ if shutil.which("nvidia-smi") is None:
+ return None
+ try:
+ completed = subprocess.run(
+ [
+ "nvidia-smi",
+ "--query-gpu=memory.free",
+ "--format=csv,noheader,nounits",
+ ],
+ capture_output=True,
+ text=True,
+ timeout=10,
+ )
+ except (OSError, subprocess.SubprocessError):
+ return None
+ if completed.returncode != 0:
+ return None
+ values: list[int] = []
+ for line in completed.stdout.splitlines():
+ stripped = line.strip()
+ if stripped.isdigit():
+ values.append(int(stripped))
+ return max(values) if values else None
+
+
+def required_memory_mb(model_dir: Path) -> int:
+ """按模型权重体量估算推理所需显存（MB）。"""
+ weights = model_dir / "model.bin"
+ size_mb = weights.stat().st_size / (1024 * 1024) if weights.is_file() else 0.0
+ return int(size_mb * _MEMORY_FACTOR)
+
+
+def require_gpu_memory(model_dir: Path) -> None:
+ """显存不足以跑完该模型时跳过测试；无 GPU 时不检查（回退 CPU 执行）。"""
+ free = available_gpu_memory_mb()
+ if free is None:
+ return # 无 NVIDIA GPU：device=auto 会走 CPU，无需显存检查
+ needed = required_memory_mb(model_dir)
+ if free < needed:
+ pytest.skip(
+ f"可用显存不足（需约 {needed} MB，当前可用 {free} MB），"
+ f"跳过真实模型集成测试以避免 OOM"
+ )
+
+
+def is_cuda_oom(text: str) -> bool:
+ """判断错误文本是否为显存不足（CUDA OOM）。"""
+ lowered = text.lower()
+ return "out of memory" in lowered or "cuda failed" in lowered
+
+
+@contextmanager
+def skip_on_cuda_oom():
+ """运行真实推理；中途发生 CUDA OOM 时转为跳过（显存被动态抢占的场景）。"""
+ try:
+ yield
+ except Exception as exc: # noqa: BLE001 - 需要按消息识别 OOM
+ if is_cuda_oom(str(exc)):
+ pytest.skip(f"GPU 显存不足（{exc}），跳过真实模型集成测试")
+ raise
+
+
+def require_node_result(response, model_dir: Path) -> None:
+ """校验节点响应：显存不足转为跳过，其它失败照常抛出由断言处理。
+
+ 节点（如 whisper）会把推理异常包装成 `status="failed"` 的响应，因此
+ OOM 不会以异常形式冒泡；这里统一识别并跳过。
+ """
+ if getattr(response, "status", "") != "completed" and is_cuda_oom(
+ str(getattr(response, "error", ""))
+ ):
+ pytest.skip(
+ f"GPU 显存不足（{getattr(response, 'error', '')}），跳过真实模型集成测试"
+ )
+
+
+def fits_with_margin(model_dir: Path, safety_mb: int = 512) -> bool:
+ """显存是否充裕到可承受分块/多次推理（预留 safety_mb 余量）。
+
+ 用于区分两种用例写法：
+ - 显存充裕：按生产默认走分块路径（更接近线上配置）；
+ - 显存临界：退化为整段单次推理，或直接跳过——分块会产生更多分配峰值，
+ 在临界卡上易因碎片化触发 CUDA OOM（实测同一峰值下 chunk 失败而单次成功）。
+
+ 无 NVIDIA GPU 时返回 False（此时应改用 CPU 友好配置，而非依赖显存）。
+ """
+ free = available_gpu_memory_mb()
+ if free is None:
+ return False
+ return free >= required_memory_mb(model_dir) + safety_mb
diff --git a/tests/shared/llm_service.py b/tests/shared/llm_service.py
new file mode 100644
index 0000000..39e0e8d
--- /dev/null
+++ b/tests/shared/llm_service.py
@@ -0,0 +1,83 @@
+"""真实 LLM 服务的可用性判定（供真实 LLM 集成测试共用）。
+
+真实 LLM 集成测试有两个外部前提：配置了 `LLM_API_KEY`、且服务端可用。
+两者都属于**外部环境状态**（密钥、余额、配额、网络），不是被测代码的行为；
+按测试规则，这类外部状态缺失时应跳过而不是把缺陷计到代码头上。
+
+本模块把该判定收敛到一处，避免各测试各自实现、语义漂移：
+
+- `require_llm_credentials()`：无 Key 时直接跳过；
+- `skip_on_service_unavailable()`：把鉴权/余额/限流类 HTTP 错误（401/402/403/429）
+ 转成跳过（附带原因），其余错误（如 5xx、网络异常、返回结构错误）照常失败，
+ 以保证真实回归仍能被发现。
+"""
+
+from __future__ import annotations
+
+import os
+import urllib.error
+from contextlib import contextmanager
+
+import pytest
+
+# 视为"服务端不可用/账号不可用"的 HTTP 状态码：
+# 401 未授权、402 需要付费（余额/额度耗尽）、403 禁止访问、429 限流。
+_UNAVAILABLE_CODES = frozenset({401, 402, 403, 429})
+
+
+def require_llm_credentials() -> None:
+ """未配置 LLM_API_KEY 时跳过真实 LLM 集成测试。"""
+ if not os.getenv("LLM_API_KEY"):
+ pytest.skip("未配置 LLM_API_KEY，跳过真实 LLM 集成测试")
+
+
+@contextmanager
+def skip_on_service_unavailable():
+ """执行真实 LLM 调用；鉴权/余额/限流类错误转为跳过，其余错误向上抛出。
+
+ 这样既不会因账户余额或临时限流把测试套件判红（外部状态问题），
+ 也不会掩盖真正的回归（返回结构错误、代码异常仍会失败）。
+ """
+ try:
+ yield
+ except urllib.error.HTTPError as exc:
+ if exc.code in _UNAVAILABLE_CODES:
+ pytest.skip(f"LLM 服务/账号当前不可用（HTTP {exc.code}），跳过真实集成测试")
+ raise
+
+
+def probe_llm_or_skip(model: str | None = None) -> None:
+ """向真实 LLM 接口发一次最小请求，服务/账号不可用时跳过测试。
+
+ 用途：被测函数（如 `nodes/subtitle_correction.correct_entry`）出于生产
+ 需要会把调用异常吞掉并返回空串，测试因此无法从返回值区分"服务不可用"
+ 与"模型没有泛化"。此探针在断言之前把外部状态问题显式暴露出来并跳过，
+ 使断言只针对真实的能力回归。
+
+ 探测失败判定与 `skip_on_service_unavailable` 一致（401/402/403/429 跳过）；
+ 其余错误（5xx、网络、返回结构异常）向上抛出，仍视为需要修复的问题。
+ """
+ import json as _json
+ import urllib.request
+
+ require_llm_credentials()
+ api_base = os.getenv("LLM_API_BASE", "https://api.siliconflow.cn/v1/chat/completions")
+ api_key = os.getenv("LLM_API_KEY", "")
+ body = {
+ "model": model or os.getenv("LLM_MODEL", "Qwen/Qwen3.5-35B-A3B"),
+ "messages": [{"role": "user", "content": "ping"}],
+ "max_tokens": 1,
+ "enable_thinking": False,
+ }
+ request = urllib.request.Request(
+ api_base,
+ data=_json.dumps(body).encode("utf-8"),
+ headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"},
+ method="POST",
+ )
+ with skip_on_service_unavailable():
+ try:
+ with urllib.request.urlopen(request, timeout=30) as response:
+ _json.loads(response.read().decode("utf-8"))
+ except urllib.error.HTTPError:
+ raise
diff --git a/tests/realdata_contract.py b/tests/shared/realdata_contract.py
similarity index 64%
rename from tests/realdata_contract.py
rename to tests/shared/realdata_contract.py
index 325539a..581f884 100644
--- a/tests/realdata_contract.py
+++ b/tests/shared/realdata_contract.py
@@ -1,48 +1,57 @@
-"""真实数据契约与夹具工具（供集成测试共用，不 mock 模型）。
+"""真实数据契约与量化工具（时间对齐 / 提示词规则，供集成测试共用，不 mock 模型）。
-本模块是"用真实数据复现问题"测试框架的公共底座。两类集成测试
-（时间对齐 / 幻觉词与专名提示词）都只读取**用户提供的真实数据文件**，
-绝不构造假音频/假模型/假翻译输出来凑覆盖率；数据缺失时测试整体跳过。
+本模块是"用真实数据复现问题"测试框架的公共底座。两类集成测试（时间对齐 /
+幻觉词与专名提示词）都只读取**用户提供的真实数据文件**，绝不构造假音频、
+假模型、假翻译输出来凑覆盖率；数据缺失时测试整体跳过。
数据契约（用户按下述约定提供真实文件即可，无需改动测试代码）：
-1. 时间对齐数据（目录：testdata/alignment/）
- - 音频/视频素材：``testdata/alignment/.wav|.mp4|...``（真实语音）
- - 参考字幕：``testdata/alignment/.reference.srt``（人工校对的时间轴，
- 即"说话真实发生的时间"），SRT 标准格式
- - 说明：测试对同一素材跑 whisper 节点（vad_filter 开/关两种配置），
- 把产出的 transcript.srt 与 reference.srt 做时间对齐评估，量化"过早/
- 过晚"的程度。若已有 .env 的 LLM Key，也可顺带评估翻译链路。
+1. 时间对齐数据（跨模块共享，默认目录：`tests/shared/data/alignment/`）
+ - 音频/视频素材：`.wav|.mp4|...`（真实语音）
+ - 参考字幕：`.reference.srt`（人工校对的时间轴）
+ - 说明：对同一素材跑 whisper 节点（vad_filter 开/关两种配置），把产出
+ 的 transcript.srt 与 reference.srt 做时间对齐评估，量化"过早/过晚"程度。
+2. 幻觉词与专有名词提示词规则数据（默认目录：`tests/shared/data/prompt_rules/`）
+ - 日文字幕样本：`.ja.srt`（真实视频的日文 ASR 输出）
+ - 期望处理：`.expected.txt`（每行一个语料关键词断言）
+ - 说明：用真实数据调用 llm-translate 节点（真实 LLM API，不 mock），
+ 断言动态规则让译文不再输出寒暄幻觉、专名不被直译。
-2. 幻觉词与专有名词提示词规则数据（目录：testdata/prompt_rules/）
- - 日文字幕样本：``testdata/prompt_rules/.ja.srt``（真实视频的
- 日文 ASR 输出，含"谢谢观看/晚安"等收尾寒暄、以及"芒果"等专名）
- - 期望处理：``testdata/prompt_rules/.expected.txt``（每行一个
- 语料关键词断言：剔除寒暄 / 保留专名原文）
- - 说明：测试用真实数据调用 llm-translate 节点（真实 LLM API，不 mock），
- 断言动态拼入提示词规则后译文不再输出寒暄幻觉、专名不被直译。
-
-每个测试函数都以"数据文件存在才运行，缺失即 skip"为前置，因此：
-- 本地缺少数据时 `uv run pytest` 全部跳过，不影响 100% 覆盖率门禁；
-- 把真实数据放入 testdata/ 后立即变为可执行的回归测试（红→绿闭环）。
+数据目录可通过环境变量 `WOV_TESTDATA_DIR` 覆盖（例如把素材放在外部盘），
+也可由测试显式传入目录参数；两种方式都不依赖全局 conftest。
"""
from __future__ import annotations
-import json
-import re
+import os
from dataclasses import dataclass, field
from pathlib import Path
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
+# 测试代码根目录（tests/）：本文件位于 tests/shared/realdata_contract.py。
+TESTS_DIR = Path(__file__).resolve().parent.parent
-# 真实数据根目录（gitignored，与 testdata/ 下已入库的测试资产分开）。
-REALDATA_DIR = WORKSPACE / "testdata"
+# 仓库根目录（tests/ 的上一级），用于定位迁移期仍在旧位置的素材。
+WORKSPACE = TESTS_DIR.parent
-# 时间对齐数据子目录、幻觉词/专名数据子目录。
-ALIGNMENT_DIR = REALDATA_DIR / "alignment"
-PROMPT_RULES_DIR = REALDATA_DIR / "prompt_rules"
+# 真实数据根目录（新的模块化位置）：跨模块共享素材放 tests/shared/data/。
+# 可通过环境变量 WOV_TESTDATA_DIR 覆盖（例如把大体积素材放外部盘）。
+SHARED_DATA_DIR = Path(
+ os.getenv("WOV_TESTDATA_DIR", str(TESTS_DIR / "shared" / "data"))
+)
+
+def data_roots() -> list[Path]:
+ """返回要扫描的数据根目录（跨模块共享素材位置）。"""
+ return [SHARED_DATA_DIR] if SHARED_DATA_DIR.is_dir() else []
+
+
+def _subdir(name: str) -> list[Path]:
+ """在全部数据根目录下找同名子目录（存在才返回）。"""
+ return [root / name for root in data_roots() if (root / name).is_dir()]
+
+# 时间对齐数据子目录、幻觉词/专名数据子目录（迁移期指向新位置的默认值，
+# 实际探查由 alignment_candidates / prompt_rule_candidates 扫描全部根目录）。
+ALIGNMENT_DIR = SHARED_DATA_DIR / "alignment"
+PROMPT_RULES_DIR = SHARED_DATA_DIR / "prompt_rules"
# 时间对齐的量化指标：与参考时间轴的允许偏差（秒）。真实转写存在固有抖动，
# 用较大容差区分"正常误差"与"系统性地过早/过晚"两类问题。
@@ -50,136 +59,53 @@ TIER1_TOLERANCE_SECONDS = 0.5 # 第一档：单条字幕与参考的偏差阈
TIER2_EARLY_SECONDS = 0.7 # 第二档：系统性偏早阈值（超过即判定"过早"）
TIER2_LATE_SECONDS = 0.7 # 第二档：系统性偏晚阈值（超过即判定"过晚"）
-_ASR_PARAMS_VAD_ON = {
- "language": "ja",
- "chunk_seconds": 60,
- "vad_filter": True,
- "condition_on_previous_text": False,
-}
-_ASR_PARAMS_VAD_OFF = {
- "language": "ja",
- "chunk_seconds": 60,
- "vad_filter": False,
- "condition_on_previous_text": False,
-}
-
# ---------------------------------------------------------------------------
# 数据探查：真实数据文件是否存在
# ---------------------------------------------------------------------------
-def alignment_candidates() -> list[Path]:
+def alignment_candidates(directory: Path | None = None) -> list[Path]:
"""返回时间对齐测试可用的真实素材文件列表（存在才列出）。
- 识别规则：``testdata/alignment/`` 下任意 ``.``（音频/视频），
- 且必须存在同名 ``.reference.srt`` 参考字幕。两者齐备才是可用样本。
+ 识别规则：目录下任意 `.`（音频/视频），且必须存在同名
+ `.reference.srt` 参考字幕。两者齐备才是可用样本。
+ 不传 directory 时扫描全部数据根目录（新位置优先，旧位置兼容）。
"""
- if not ALIGNMENT_DIR.is_dir():
- return []
+ bases = [directory] if directory else _subdir("alignment")
candidates: list[Path] = []
- for path in sorted(ALIGNMENT_DIR.iterdir()):
- if path.suffix.lower() in {
- ".wav", ".mp3", ".flac", ".m4a", ".aac", ".ogg",
- ".mp4", ".mkv", ".mov", ".webm", ".ts",
- }:
- ref = path.with_suffix(".reference.srt")
- if ref.is_file():
+ for base in bases:
+ if not base.is_dir():
+ continue
+ for path in sorted(base.iterdir()):
+ if path.suffix.lower() in {
+ ".wav", ".mp3", ".flac", ".m4a", ".aac", ".ogg",
+ ".mp4", ".mkv", ".mov", ".webm", ".ts",
+ }:
+ ref = path.with_suffix(".reference.srt")
+ if ref.is_file() and path not in candidates:
+ candidates.append(path)
+ return candidates
+
+
+def prompt_rule_candidates(directory: Path | None = None) -> list[Path]:
+ """返回提示词规则测试可用的真实样本列表（存在才列出）。
+
+ 识别规则：目录下任意 `.ja.srt`，且必须存在同名
+ `.expected.txt` 期望清单。不传 directory 时扫描全部数据根目录。
+ """
+ bases = [directory] if directory else _subdir("prompt_rules")
+ candidates: list[Path] = []
+ for base in bases:
+ if not base.is_dir():
+ continue
+ for path in sorted(base.glob("*.ja.srt")):
+ expected = path.with_suffix("").with_suffix(".expected.txt")
+ if expected.is_file() and path not in candidates:
candidates.append(path)
return candidates
-def prompt_rule_candidates() -> list[Path]:
- """返回提示词规则测试可用的真实样本列表（存在才列出）。
-
- 识别规则：``testdata/prompt_rules/`` 下任意 ``.ja.srt``，
- 且必须存在同名 ``.expected.txt`` 期望清单。
- """
- if not PROMPT_RULES_DIR.is_dir():
- return []
- candidates: list[Path] = []
- for path in sorted(PROMPT_RULES_DIR.glob("*.ja.srt")):
- expected = path.with_suffix("").with_suffix(".expected.txt")
- if expected.is_file():
- candidates.append(path)
- return candidates
-
-
-# ---------------------------------------------------------------------------
-# SRT 解析（纯函数，供参考与产物共同使用）
-# ---------------------------------------------------------------------------
-
-# 匹配 SRT 时间轴行（时间戳 --> 时间戳），作为条目边界。
-_SRT_TIME_LINE_RE = re.compile(
- r"(\d{2}:\d{2}:\d{2},\d{3})\s*-->\s*(\d{2}:\d{2}:\d{2},\d{3})",
-)
-
-
-def parse_srt_entries(text: str) -> list[dict]:
- """解析 SRT 为 [{start, end, text}]（秒为单位）。
-
- 按行分块：一个条目 = 序号行 + 时间轴行 + 若干文本行（可空）。即使文本为
- 空串（如翻译补空占位、空字幕）也计入一条，时间轴不丢失。"""
- entries: list[dict] = []
- lines = text.splitlines()
- index = 0
- while index < len(lines):
- line = lines[index].strip()
- # 跳过序号行与空行，找时间轴行。
- if not line or not _SRT_TIME_LINE_RE.search(line):
- index += 1
- continue
- match = _SRT_TIME_LINE_RE.search(line)
- start = _ts_to_seconds(match.group(1))
- end = _ts_to_seconds(match.group(2))
- index += 1
- # 收集后续非序号、非时间轴的文本行（可空/多行），直到空行或序号行。
- text_parts: list[str] = []
- while index < len(lines):
- nxt = lines[index].strip()
- if not nxt:
- break # 空行：条目结束
- if _SRT_TIME_LINE_RE.search(nxt):
- break # 下一个时间轴：条目结束
- if nxt.isdigit():
- break # 下一个序号：条目结束
- text_parts.append(nxt)
- index += 1
- entries.append(
- {
- "start": start,
- "end": end,
- "text": " ".join(text_parts),
- }
- )
- index += 1
- return entries
-
-
-def _ts_to_seconds(ts: str) -> float:
- """把 SRT 时间戳（HH:MM:SS,mmm）换算为秒。"""
- hours, minutes, rest = ts.split(":")
- seconds, millis = rest.split(",")
- return int(hours) * 3600 + int(minutes) * 60 + int(seconds) + int(millis) / 1000
-
-
-
-# 参考字幕净化正则：纯装饰/符号/垃圾行（如 OCR 栅栏 '---'、'==='、下划线等）
-# 不参与时间对齐——它们不是真实的说话内容，混入会让指标失真。
-_JUNK_RE = re.compile(r"^[\s\-—_=~•・。．.、*+]+$")
-
-
-def clean_reference(entries: list[dict]) -> list[dict]:
- """从参考条目中剔除纯符号/装饰性垃圾行（无真实内容），返回保留条目。
-
- 参考 SRT 由烧录字幕提取得到（见 scripts/extract_reference_srt.py），OCR
- 可能把画面上的装饰/栅栏误收为字幕（如 '---'、'==='）。这类条目没有
- 时间语义，若参与最近邻对齐会拉偏偏差统计，必须先剔除。"""
- return [
- e for e in entries
- if e["text"].strip() and not _JUNK_RE.match(e["text"])
- ]
-
# ---------------------------------------------------------------------------
# 时间对齐指标
# ---------------------------------------------------------------------------
@@ -226,7 +152,12 @@ class AlignmentReport:
)
-def align_report(name: str, vad_filter: bool, produced: list[dict], reference: list[dict]) -> AlignmentReport:
+def align_report(
+ name: str,
+ vad_filter: bool,
+ produced: list[dict],
+ reference: list[dict],
+) -> AlignmentReport:
"""构建对齐报告：逐条求最近参考时间差并汇总偏差倾向。
对齐是"最近邻"匹配：对产物每条字幕，在参考时间轴中找其起始时刻最近的
@@ -271,6 +202,28 @@ def align_report(name: str, vad_filter: bool, produced: list[dict], reference: l
return report
+# ---------------------------------------------------------------------------
+# 参考字幕净化
+# ---------------------------------------------------------------------------
+
+# 参考字幕净化正则：纯装饰/符号/垃圾行（如 OCR 栅栏 '---'、'==='、下划线等）
+# 不参与时间对齐——它们不是真实的说话内容，混入会让指标失真。
+_JUNK_RE = __import__("re").compile(r"^[\s\-—_=~•・。．.、*+]+$")
+
+
+def clean_reference(entries: list[dict]) -> list[dict]:
+ """从参考条目中剔除纯符号/装饰性垃圾行（无真实内容），返回保留条目。
+
+ 参考 SRT 由烧录字幕提取得到（见 scripts/extract_reference_srt.py），OCR
+ 可能把画面上的装饰/栅栏误收为字幕（如 '---'、'==='）。这类条目没有
+ 时间语义，若参与最近邻对齐会拉偏偏差统计，必须先剔除。
+ """
+ return [
+ e for e in entries
+ if e["text"].strip() and not _JUNK_RE.match(e["text"])
+ ]
+
+
# ---------------------------------------------------------------------------
# 幻觉词 / 专有名词判定
# ---------------------------------------------------------------------------
@@ -359,4 +312,31 @@ def build_translation_system_prompt(
prompt += (
f"规则：专有名词（人名/品牌/SNS账号/虚拟角色名）不按字面直译，{noun_lines}。"
)
- return prompt
\ No newline at end of file
+ return prompt
+
+# ---------------------------------------------------------------------------
+# 兼容导出
+# ---------------------------------------------------------------------------
+
+# SRT 条目解析实现放在同包的 srt_entries.py；这里再导出一次，方便调用方
+# 只导入一个模块即可获得"数据契约 + 解析工具"。
+from tests.shared.srt_entries import parse_srt_entries # noqa: E402
+
+__all__ = [
+ "ALIGNMENT_DIR",
+ "PROMPT_RULES_DIR",
+ "SHARED_DATA_DIR",
+ "WORKSPACE",
+ "data_roots",
+ "alignment_candidates",
+ "prompt_rule_candidates",
+ "AlignmentReport",
+ "align_report",
+ "clean_reference",
+ "parse_srt_entries",
+ "HALLUCINATION_TOKENS",
+ "PROPER_NOUNS_NO_TRANSLATE",
+ "assert_no_halucination",
+ "assert_proper_noun_preserved",
+ "build_translation_system_prompt",
+]
diff --git a/tests/shared/srt_entries.py b/tests/shared/srt_entries.py
new file mode 100644
index 0000000..06c3d5a
--- /dev/null
+++ b/tests/shared/srt_entries.py
@@ -0,0 +1,65 @@
+"""SRT 条目解析（纯函数，按秒返回，供参考字幕与产物字幕共用）。
+
+与 `nodes/srt.py` 的区别：`nodes/srt.py` 保留原始毫秒字符串供生产链路
+序列化；本模块把时间戳换算为**秒浮点数**，用于测试中的时间对齐计算与
+篇幅统计，不参与生产输出。
+"""
+
+from __future__ import annotations
+
+import re
+
+# 匹配 SRT 时间轴行（时间戳 --> 时间戳），作为条目边界。
+_SRT_TIME_LINE_RE = re.compile(
+ r"(\d{2}:\d{2}:\d{2},\d{3})\s*-->\s*(\d{2}:\d{2}:\d{2},\d{3})",
+)
+
+
+def parse_srt_entries(text: str) -> list[dict]:
+ """解析 SRT 为 [{start, end, text}]（秒为单位）。
+
+ 按行分块：一个条目 = 序号行 + 时间轴行 + 若干文本行（可空）。即使文本为
+ 空串（如翻译补空占位、空字幕）也计入一条，时间轴不丢失。正文多行用空格
+ 连接，便于按关键词检索。
+ """
+ entries: list[dict] = []
+ lines = text.splitlines()
+ index = 0
+ while index < len(lines):
+ line = lines[index].strip()
+ # 跳过序号行与空行，找时间轴行。
+ if not line or not _SRT_TIME_LINE_RE.search(line):
+ index += 1
+ continue
+ match = _SRT_TIME_LINE_RE.search(line)
+ start = _ts_to_seconds(match.group(1))
+ end = _ts_to_seconds(match.group(2))
+ index += 1
+ # 收集后续非序号、非时间轴的文本行（可空/多行），直到空行或序号行。
+ text_parts: list[str] = []
+ while index < len(lines):
+ nxt = lines[index].strip()
+ if not nxt:
+ break # 空行：条目结束
+ if _SRT_TIME_LINE_RE.search(nxt):
+ break # 下一个时间轴：条目结束
+ if nxt.isdigit():
+ break # 下一个序号：条目结束
+ text_parts.append(nxt)
+ index += 1
+ entries.append(
+ {
+ "start": start,
+ "end": end,
+ "text": " ".join(text_parts),
+ }
+ )
+ index += 1
+ return entries
+
+
+def _ts_to_seconds(ts: str) -> float:
+ """把 SRT 时间戳（HH:MM:SS,mmm）换算为秒。"""
+ hours, minutes, rest = ts.split(":")
+ seconds, millis = rest.split(",")
+ return int(hours) * 3600 + int(minutes) * 60 + int(seconds) + int(millis) / 1000
diff --git a/tests/shared/test_alignment/__init__.py b/tests/shared/test_alignment/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/shared/test_alignment/test_alignment.py b/tests/shared/test_alignment/test_alignment.py
new file mode 100644
index 0000000..1f3b2b5
--- /dev/null
+++ b/tests/shared/test_alignment/test_alignment.py
@@ -0,0 +1,127 @@
+"""真实语音时间对齐集成测试（数据 → 测试过程 → 验证结果）。
+
+覆盖模块：`nodes/whisper.py`（真实转写）+ `tests/shared/realdata_contract.py`
+（对齐量化工具）。这是模块级直测的补充：用真实模型 + 真实音频 + 人工校对
+参考字幕，量化字幕时间轴与"说话真实发生时间"的偏差。
+
+数据契约：`tests/shared/data/alignment/` 下 `.wav|.mp4` 与其同名
+`.reference.srt`（人工校对）。素材缺失或本地无模型时跳过。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from nodes.whisper import _local_model_candidates, invoke
+from tests.shared.realdata_contract import (
+ TIER1_TOLERANCE_SECONDS,
+ align_report,
+ alignment_candidates,
+ clean_reference,
+)
+from tests.shared.srt_entries import parse_srt_entries
+from wov_sdk.models import InvokeRequest
+
+
+def _model_available() -> Path | None:
+ """返回可用的 V2 权重目录（缺失则返回 None 供跳过）。
+
+ 只接受 V2 权重：V3 已全面停用（均改用 V2），留在盘上的 V3 目录不得被
+ 测试使用，否则测的不是线上实际运行的模型。
+ """
+ from tests.nodes.test_whisper.test_transcribe import _v2_model_candidates
+
+ for candidate in _v2_model_candidates():
+ if candidate.is_dir() and (candidate / "model.bin").is_file():
+ return candidate
+ return None
+
+
+def _sample_dir() -> Path | None:
+ """返回包含对齐素材的目录（共享数据目录；缺失时返回 None）。"""
+ directory = Path(__file__).resolve().parents[2] / "shared" / "data" / "alignment"
+ return directory if directory.is_dir() else None
+
+
+@pytest.mark.integration
+def test_real_alignment_candidates_discovered() -> None:
+ """对齐素材探查：能找到成对的媒体与参考字幕（数据契约可用）。"""
+ # 数据：共享数据目录下的真实素材。
+ directory = _sample_dir()
+ if directory is None:
+ pytest.skip("缺少 tests/shared/data/alignment 目录")
+
+ # 测试过程
+ candidates = alignment_candidates(directory)
+
+ # 验证结果：至少一对，且每对都有同名 reference.srt。
+ assert candidates, "应至少有一对素材 + 参考字幕"
+ for media in candidates:
+ assert media.with_suffix(".reference.srt").is_file()
+
+
+@pytest.mark.integration
+def test_real_whisper_alignment_within_tolerance(tmp_path) -> None:
+ """真实转写产物 vs 人工参考字幕：时间偏差在容差内且无系统性偏移。
+
+ 这验证"字幕时间与说话时刻对齐"这一核心功能，使用真实模型与真实音频。
+ """
+ # 数据：最小的真实对齐素材（避免长视频拖慢测试）。
+ directory = _sample_dir()
+ model_dir = _model_available()
+ if directory is None or model_dir is None:
+ pytest.skip("缺少对齐素材或本地 whisper 权重，跳过")
+ # 显存不足时跳过（转写整段真实音频需要显存，属外部环境状态）。
+ from tests.shared.gpu_memory import require_gpu_memory, require_node_result
+
+ require_gpu_memory(model_dir)
+ candidates = alignment_candidates(directory)
+ if not candidates:
+ pytest.skip("没有成对的对齐素材")
+ media = min(candidates, key=lambda p: p.stat().st_size)
+ reference = clean_reference(
+ parse_srt_entries(media.with_suffix(".reference.srt").read_text(encoding="utf-8"))
+ )
+ if not reference:
+ pytest.skip("参考字幕为空")
+
+ # 测试过程：走真实生产链路——先提音（视频/任意容器 → 16kHz 单声道 WAV），
+ # 再转写。whisper 只接受 WAV，直接喂 mp4 会解析失败（对齐素材多为 mp4）。
+ from nodes.ffmpeg import invoke as extract_audio
+
+ audio = extract_audio(InvokeRequest(
+ run_id="alignment", node_instance_id="ffmpeg-1", params={},
+ inputs={"video_uri": str(media)}, output_dir=str(tmp_path / "audio"),
+ ))
+ require_node_result(audio, model_dir)
+ assert audio.status == "completed", audio.error
+ response = invoke(InvokeRequest(
+ run_id="alignment", node_instance_id="whisper-1",
+ params={
+ "language": "ja",
+ # 本用例目标是"时间轴对齐"：整段单次解码（chunk_seconds=0）避免
+ # 分块上下文带来的额外显存与上下文损失；分块路径本身已由
+ # whisper 模块测试覆盖。实测 6GB 卡上该配置稳定完成。
+ "chunk_seconds": 0,
+ "vad_filter": True,
+ "model_path": str(model_dir),
+ },
+ inputs={"audio_uri": audio.outputs["audio_uri"]},
+ output_dir=str(tmp_path / "out"),
+ ))
+ require_node_result(response, model_dir)
+ assert response.status == "completed", response.error
+ produced = parse_srt_entries(open(response.outputs["srt_uri"], encoding="utf-8").read())
+ report = align_report(media.stem, True, produced, reference)
+
+ # 验证结果（基线由 V2 模型实测标定，见 docs/testing.md）：
+ # - 产出条数与参考规模同量级（不丢整段、不大量幻觉）；
+ # - 平均绝对偏差在真实转写抖动范围内；
+ # - 中位偏差不构成系统性偏早/偏晚。
+ assert produced, "真实转写应产出字幕"
+ assert len(produced) >= len(reference) * 0.5, report.format_summary()
+ assert report.mean_abs_error <= 2.0, report.format_summary()
+ assert not report.consistently_early, report.format_summary()
+ assert not report.consistently_late, report.format_summary()
diff --git a/tests/shared/test_srt_entries/__init__.py b/tests/shared/test_srt_entries/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/shared/test_srt_entries/test_srt_entries.py b/tests/shared/test_srt_entries/test_srt_entries.py
new file mode 100644
index 0000000..f4e350d
--- /dev/null
+++ b/tests/shared/test_srt_entries/test_srt_entries.py
@@ -0,0 +1,88 @@
+"""tests/shared/srt_entries.py 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`tests/shared/srt_entries.py`（按秒解析 SRT 条目，供各模块测试
+计算时间轴与统计），是测试公共设施中的一个独立功能单元，拥有独立测试目录。
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+from tests.shared.srt_entries import parse_srt_entries
+
+DATA_DIR = Path(__file__).resolve().parent.parent / "data" / "alignment"
+
+
+def test_parses_single_cue_with_seconds() -> None:
+ """单条字幕解析为秒级时间轴与正文。"""
+ # 数据：一条标准 SRT。
+ text = "1\n00:00:01,500 --> 00:00:02,250\n你好\n"
+
+ # 测试过程
+ entries = parse_srt_entries(text)
+
+ # 验证结果
+ assert entries == [{"start": 1.5, "end": 2.25, "text": "你好"}]
+
+
+def test_keeps_empty_text_entry_with_timeline() -> None:
+ """空正文条目仍计入并保留时间轴（翻译补空占位需要）。"""
+ # 数据：空正文 + 有正文两条。
+ text = "1\n00:00:01,000 --> 00:00:02,000\n\n2\n00:00:03,000 --> 00:00:04,000\n有词\n"
+
+ # 测试过程
+ entries = parse_srt_entries(text)
+
+ # 验证结果
+ assert len(entries) == 2
+ assert entries[0]["text"] == ""
+ assert entries[1]["text"] == "有词"
+
+
+def test_joins_multiline_text_with_space() -> None:
+ """多行正文合并为空格连接（便于关键词检索与统计）。"""
+ # 数据：两行正文。
+ text = "1\n00:00:01,000 --> 00:00:02,000\n第一行\n第二行\n"
+
+ # 测试过程与验证结果
+ assert parse_srt_entries(text)[0]["text"] == "第一行 第二行"
+
+
+def test_stops_entry_at_next_timestamp_or_index() -> None:
+ """条目在下一个时间轴或序号行处结束（不跨条吞并）。"""
+ # 数据：三条紧凑排列（无多余空行）。
+ text = (
+ "1\n00:00:01,000 --> 00:00:02,000\n甲\n"
+ "2\n00:00:03,000 --> 00:00:04,000\n乙\n"
+ "3\n00:00:05,000 --> 00:00:06,000\n丙\n"
+ )
+
+ # 测试过程
+ entries = parse_srt_entries(text)
+
+ # 验证结果
+ assert [e["text"] for e in entries] == ["甲", "乙", "丙"]
+
+
+def test_parses_real_reference_subtitle_file() -> None:
+ """真实参考字幕文件：条数等于时间轴行数（无丢失）。"""
+ # 数据：共享数据目录下的真实参考字幕。
+ path = DATA_DIR / "sample.reference.srt"
+ if not path.is_file():
+ import pytest
+
+ pytest.skip(f"缺少数据文件 {path}")
+ text = path.read_text(encoding="utf-8")
+
+ # 测试过程
+ entries = parse_srt_entries(text)
+
+ # 验证结果
+ assert len(entries) == sum(1 for line in text.splitlines() if "-->" in line)
+
+
+def test_empty_input_returns_empty_list() -> None:
+ """空文本返回空列表。"""
+ # 数据：空字符串。
+ # 测试过程与验证结果
+ assert parse_srt_entries("") == []
diff --git a/tests/test_adaptive_pool.py b/tests/test_adaptive_pool.py
deleted file mode 100644
index 757191e..0000000
--- a/tests/test_adaptive_pool.py
+++ /dev/null
@@ -1,375 +0,0 @@
-"""自适应线程池测试。
-
-覆盖决策函数（增/减/保持/边界）、map 顺序返回、worker 异常隔离，
-以及"10s 窗口内平均响应 < 0.3s 加线程 / > 1.0s 减线程"的弹性行为
-（通过注入假时钟做确定性验证）。
-"""
-
-import threading
-import time
-
-from nodes.adaptive_pool import AdaptiveThreadPool, decide
-
-
-class FakeClock:
- """可手动拨动的假时钟，用于确定性验证弹性窗口逻辑。"""
-
- def __init__(self, now: float = 0.0) -> None:
- self.now = now
-
- def __call__(self) -> float:
- return self.now
-
- def advance(self, seconds: float) -> None:
- self.now += seconds
-
-
-def test_decide_increase_when_fast() -> None:
- """平均响应低于 fast_threshold 且未达上限：线程数 +1。"""
- assert decide(1, 0.1, 1, 16, 0.3, 1.0) == 2
-
-
-def test_decide_decrease_when_slow() -> None:
- """平均响应高于 slow_threshold 且高于下限：线程数 -1。"""
- assert decide(3, 2.0, 1, 16, 0.3, 1.0) == 2
-
-
-def test_decide_keep_when_mid() -> None:
- """平均响应介于两阈值之间：保持不变。"""
- assert decide(2, 0.5, 1, 16, 0.3, 1.0) == 2
-
-
-def test_decide_bounds() -> None:
- """已达上限不再增、已达下限不再减。"""
- assert decide(16, 0.1, 1, 16, 0.3, 1.0) == 16
- assert decide(1, 2.0, 1, 16, 0.3, 1.0) == 1
-
-
-def test_pool_map_ordered_results() -> None:
- """map 按输入顺序返回结果，worker 简单映射。"""
- pool = AdaptiveThreadPool(worker=lambda item: item * 2)
- assert pool.map([1, 2, 3, 4]) == [2, 4, 6, 8]
-
-
-def test_pool_on_progress_callback() -> None:
- """进度回调：每次完成触发一次，携带已完成数/总数/速度/平均耗时/线程数。"""
- progress: list[tuple[int, int, float, float, int]] = []
- pool = AdaptiveThreadPool(
- worker=lambda item: item,
- on_progress=lambda done, total, rate, avg_time, workers: progress.append(
- (done, total, rate, avg_time, workers)
- ),
- )
- pool.map([10, 20, 30])
- assert [item[0] for item in progress] == [1, 2, 3] # 已完成数递增。
- assert all(item[1] == 3 for item in progress) # 总数固定。
- assert all(item[2] > 0 for item in progress) # 速度为正值。
- # 窗口未满时平均耗时回退为累计平均（>0）；线程数 ∈ [1, 上限]。
- assert all(item[3] > 0 for item in progress)
- assert all(1 <= item[4] <= pool.max_workers for item in progress)
-
-
-def test_pool_progress_reports_window_avg_after_first_window() -> None:
- """窗口评估后：回调携带最近窗口平均耗时（扩缩容依据）与扩容后的线程数。
-
- 覆盖 `_current_avg_time` 两个分支：窗口评估前回退累计平均，评估后使用
- 最近窗口平均（0.0s，响应远快于 fast_threshold 0.3s → 线程 +1）。
- """
- clock = FakeClock()
- seen: list[tuple[int, int, float, float, int]] = []
- def progress(done, total, rate, avg_time, workers):
- # 推进窗口时钟但不增加 worker 耗时，确定性触发快响应扩容。
- seen.append((done, total, rate, avg_time, workers))
- if done == 1:
- clock.advance(11)
-
- pool = AdaptiveThreadPool(
- worker=lambda item: item,
- min_workers=1, max_workers=16,
- window_seconds=10.0, fast_threshold=0.3,
- clock=clock, on_progress=progress,
- )
- pool.map(list(range(5)))
- # 第一个完成的任务回调在窗口评估前：真实 worker 耗时为 0，均值也为 0。
- assert seen[0][3] == 0.0
- # 窗口评估后：回调携带最近窗口平均（≈0.0），且线程已扩容到 2。
- assert any(item[3] == 0.0 for item in seen)
- assert any(item[4] == 2 for item in seen)
- assert pool.max_concurrency == 2
-def test_pool_cancel_suppresses_progress() -> None:
- """worker 触发 cancel（如检测到暂停信号）后：剩余任务不再触发进度回调。
-
- 暂停场景：队列中剩余的大量帧会逐帧快速失败退出，若每完成一项都打印
- 进度日志，会在数秒内打出上万行日志；cancel 后抑制后续进度回调。
- """
- progress: list[tuple[int, int, float, float, int]] = []
-
- def worker(item):
- if item == 1:
- pool.cancel() # 模拟某帧检测到暂停信号。
- return item
-
- pool = AdaptiveThreadPool(
- worker=worker,
- on_progress=lambda done, total, rate, avg_time, workers: progress.append(
- (done, total, rate, avg_time, workers)
- ),
- )
- pool.map([0, 1, 2, 3])
- # 只有 cancel 之前的任务（item=0）触发了进度回调。
- assert len(progress) == 1
- assert progress[0][1] == 4 # 总数仍是 4。
-
-
-def test_pool_cancel_resets_between_maps() -> None:
- """取消状态按批（map）重置：下一批任务进度回调恢复正常。"""
- progress: list[tuple[int, int, float, float, int]] = []
-
- def worker(item):
- if item == "stop":
- pool.cancel()
- return item
-
- pool = AdaptiveThreadPool(
- worker=worker,
- on_progress=lambda done, total, rate, avg_time, workers: progress.append(
- (done, total, rate, avg_time, workers)
- ),
- )
- pool.map(["a", "stop", "b"])
- assert len(progress) == 1 # 只有 cancel 前的 a 触发回调。
- pool.map(["c", "d"])
- # 新一批恢复回调（done 从 1 重新计数）：共 3 次回调（1 + 2）。
- assert [item[0] for item in progress] == [1, 1, 2]
-
-def test_pool_map_empty() -> None:
-
- """空输入：不启动任务，直接返回空列表。"""
- pool = AdaptiveThreadPool(worker=lambda item: item)
- assert pool.map([]) == []
-
-
-def test_pool_worker_exception_isolated() -> None:
- """worker 抛异常时以异常对象作为结果，不拖垮整体。"""
- def boom(item):
- raise RuntimeError("boom")
-
- pool = AdaptiveThreadPool(worker=boom)
- results = pool.map([1, 2])
- assert len(results) == 2
- assert all(isinstance(result, RuntimeError) for result in results)
-
-
-def test_pool_grows_when_fast() -> None:
- """10s 窗口内平均响应 < 0.3s：线程数从 1 增至 2（弹性扩容）。"""
- clock = FakeClock()
- pool = AdaptiveThreadPool(
- worker=lambda item: item,
- min_workers=1, max_workers=16,
- window_seconds=10.0, fast_threshold=0.3,
- clock=clock,
- on_progress=lambda done, *_: clock.advance(11) if done == 1 else None,
- )
- # 首个任务完成后越过窗口 → 平均响应≈0 < 0.3 → +1 个在途额度。
- pool.map(list(range(4)))
- assert pool.max_concurrency == 2
-
-
-def test_pool_shrink_when_slow() -> None:
- """窗口平均响应 > 1.0s：线程数从 2 减至 1（弹性退避）。"""
- clock = FakeClock()
- pool = AdaptiveThreadPool(
- worker=lambda item: item,
- min_workers=1, max_workers=16,
- window_seconds=10.0, fast_threshold=0.3, slow_threshold=1.0,
- clock=clock,
- )
- pool._resize(2) # 先扩到 2 个线程。
- clock.advance(11)
- pool._tick(2.0) # 窗口内平均 2.0 > 1.0 → 缩回 1。
- # 缩容只调整提交额度；实际积压任务行为由下方并发回归测试验证。
- assert pool._target_workers == 1
-
-
-def test_resize_shrink_idempotent() -> None:
- """回归：重复缩容到同一目标不会重复放哨兵（曾因并发缩容毒死全部线程而死锁）。"""
- pool = AdaptiveThreadPool(worker=lambda item: item, min_workers=1, max_workers=8)
- pool._resize(3)
- assert pool._target_workers == 3
- pool._resize(2)
- pool._resize(2) # 目标已是 2：幂等，不再放哨兵。
- assert pool._target_workers == 2
- # 重复缩容不会遗留哨兵影响下一批，真实 map 必须返回全部输入。
- assert pool.map(list(range(20))) == list(range(20))
-
-
-def test_pool_survives_mixed_grow_shrink() -> None:
- """回归：扩容+缩容混合场景 map 必须完成且保序（修复前会死锁挂起）。"""
- clock = FakeClock()
- state = {"count": 0}
-
- def worker(item):
- state["count"] += 1
- clock.advance(0.06 if state["count"] <= 20 else 0.6)
- return item
-
- pool = AdaptiveThreadPool(
- worker=worker, min_workers=1, max_workers=4,
- window_seconds=0.5, fast_threshold=0.2, slow_threshold=0.4,
- clock=clock,
- )
- out = pool.map(list(range(60)))
- assert out == list(range(60))
-
-
-def test_pool_report_failure_lowers_effective_max() -> None:
- """消费错误（如 API 限流）临时降低有效最大线程数，下限为 min_workers。
-
- 自适应：并发打到配额线触发 429 时，report_failure 收紧有效上限，
- 后续请求减少从而避开持续限流。
- """
- pool = AdaptiveThreadPool(worker=lambda item: item, min_workers=1, max_workers=16)
- assert pool._effective_max_workers == 16
- pool.report_failure()
- assert pool._effective_max_workers == 15
- for _ in range(30):
- pool.report_failure()
- assert pool._effective_max_workers == 1 # 下限 min_workers。
-
-
-def test_pool_effective_max_recovers_after_clean_window() -> None:
- """连续无错误窗口后有效上限逐步回升到 max_workers。"""
- clock = FakeClock()
- pool = AdaptiveThreadPool(
- worker=lambda item: item, min_workers=1, max_workers=16,
- window_seconds=10.0, fast_threshold=0.3, clock=clock,
- )
- pool.report_failure() # 有效上限 16 -> 15。
- clock.advance(11)
- pool._tick(0.01) # 错误所在窗口：上限不恢复。
- assert pool._effective_max_workers == 15
- clock.advance(11)
- pool._tick(0.01) # 下一个干净窗口：恢复 +1。
- assert pool._effective_max_workers == 16
- pool._tick(0.01) # 窗口未满早退，上限不变。
- assert pool._effective_max_workers == 16
-
-
-def test_failure_at_single_worker_never_expands() -> None:
- """真实 map 内报告限流：1 个在途任务不能因上限 20 变 19 而突然扩容。"""
- targets = []
-
- def worker(item):
- if item == 0:
- pool.report_failure()
- targets.append(pool._target_workers)
- return item
-
- pool = AdaptiveThreadPool(worker=worker, max_workers=20, window_seconds=1000)
- assert pool.map(list(range(30))) == list(range(30))
- assert targets == [1]
-
-
-def test_failure_shrink_limits_backlogged_work() -> None:
- """积压任务中从 4 降到 1：已开始任务可完成，后续实际并发必须为 1。"""
- barrier = threading.Barrier(4, timeout=3)
- reduced = threading.Event()
- lock = threading.Lock()
- active = 0
- subsequent_peaks = []
-
- def worker(item):
- nonlocal active
- with lock:
- active += 1
- if item >= 5:
- subsequent_peaks.append(active)
- try:
- if 1 <= item <= 4:
- barrier.wait()
- if item == 1:
- # 连续限流将有效上限压到下限，存量请求不强制中断。
- for _ in range(3):
- pool.report_failure()
- reduced.set()
- assert reduced.wait(3)
- elif item >= 5:
- # 模拟 I/O 等待，给其他工作线程实际进入任务的机会。
- time.sleep(0.005)
- return item
- finally:
- with lock:
- active -= 1
-
- def progress(done, *_):
- if done == 1:
- pool._resize(4)
-
- pool = AdaptiveThreadPool(worker=worker, max_workers=4, window_seconds=1000,
- on_progress=progress)
- items = list(range(40))
- assert pool.map(items) == items
- assert subsequent_peaks and max(subsequent_peaks) == 1
-
-
-def test_error_window_does_not_regrow() -> None:
- """报告限流的同一窗口即使响应很快，也不能重新加并发。"""
- clock = FakeClock()
- pool = AdaptiveThreadPool(worker=lambda item: item, max_workers=4, clock=clock)
- pool.report_failure()
- clock.advance(11)
- pool._tick(0.01)
- assert pool._target_workers <= 1
-
-
-def test_retry_map_preserves_reduced_limit() -> None:
- """两轮真实 map：首轮连续限流后，重试期间实际并发及进度都遵守新上限。"""
- lock = threading.Lock()
- active = 0
- peak = 0
- progress_counts = []
-
- def worker(item):
- nonlocal active, peak
- with lock:
- active += 1
- peak = max(peak, active)
- try:
- if item == "limited":
- for _ in range(3):
- pool.report_failure()
- raise RuntimeError("rate limited")
- time.sleep(0.002)
- return item
- finally:
- with lock:
- active -= 1
-
- pool = AdaptiveThreadPool(
- worker=worker, max_workers=4, window_seconds=1000,
- on_progress=lambda done, *_: progress_counts.append(done),
- )
- assert isinstance(pool.map(["limited"])[0], RuntimeError)
- assert pool._effective_max_workers == 1
- # 主动申请扩容也受已收紧额度约束，下一轮不能重置有效上限。
- pool._resize(4)
- assert pool._target_workers == 1
- assert pool.map(list(range(12))) == list(range(12))
- assert peak == 1
- assert progress_counts == [1] + list(range(1, 13))
-
-
-def test_pool_decide_uses_effective_max() -> None:
- """扩容上限按有效最大线程数：错误窗口内即使响应快也不超过收紧后的上限。"""
- clock = FakeClock()
- pool = AdaptiveThreadPool(
- worker=lambda item: item, min_workers=1, max_workers=16,
- window_seconds=10.0, fast_threshold=0.3, clock=clock,
- )
- pool.report_failure() # 有效上限 16 -> 15。
- pool._resize(15)
- pool._window_failures = 1 # 本窗口内仍有错误 → 不恢复上限。
- clock.advance(11)
- pool._tick(0.01) # 响应快，但 15 已是有效上限 → 不扩。
- assert pool._target_workers == 15
- assert pool._effective_max_workers == 15
diff --git a/tests/test_api.py b/tests/test_api.py
deleted file mode 100644
index e29c247..0000000
--- a/tests/test_api.py
+++ /dev/null
@@ -1,34 +0,0 @@
-"""应用级 API 冒烟测试。
-
-使用 FastAPI TestClient 验证健康检查、静态页面与 OpenAPI 文档可访问。
-节点注册/实例管理 API 已随单体化移除，不再有对应路由。
-"""
-
-from fastapi.testclient import TestClient
-
-from wov_app.main import app
-
-
-def test_health_and_static() -> None:
- """验证静态首页、OpenAPI 文档与健康探针均可访问。"""
- with TestClient(app) as client:
- root = client.get("/", follow_redirects=False)
- assert root.status_code == 200
- assert "VRSub 字幕生成" in root.text
-
- docs = client.get("/docs")
- assert docs.status_code == 200
-
- response = client.get("/health")
- assert response.status_code == 200
- assert response.json()["service"] == "wov-api"
- assert response.json()["mode"] == "monolith"
-
-
-def test_node_admin_routes_removed() -> None:
- """验证节点注册与实例管理路由在单体版中已移除（404/405）。"""
- with TestClient(app) as client:
- # GET 落到静态文件挂载后返回 404；POST 对静态挂载返回 405。
- assert client.post("/api/admin/nodes", json={}).status_code == 405
- assert client.get("/api/admin/nodes").status_code == 404
- assert client.get("/api/admin/node-instances").status_code == 404
diff --git a/tests/test_apps_api.py b/tests/test_apps_api.py
deleted file mode 100644
index ab978b2..0000000
--- a/tests/test_apps_api.py
+++ /dev/null
@@ -1,320 +0,0 @@
-"""用户应用 API 测试。
-
-覆盖已发布应用的上传建任务、进度查询、产物下载、失败重试以及
-未发布/无版本工作流的拒绝逻辑。节点为内置注册，无需再手动注册。
-"""
-
-from pathlib import Path
-
-from fastapi.testclient import TestClient
-
-from wov_app.main import app
-
-
-def _create_published_echo_workflow(client) -> str:
- """创建一个已发布的单节点 Echo 工作流（echo 为内置节点）。"""
- definition = {
- "name": "echo-flow",
- "version": 1,
- "nodes": [
- {
- "id": "step",
- "node_type": "echo",
- "inputs": {"file_uri": "input.video_uri"},
- }
- ],
- "edges": [],
- "entry_inputs": {"video_uri": "file"},
- "final_outputs": {"result": "step.file_uri"},
- }
- client.post(
- "/api/admin/workflows",
- json={
- "id": "echo-app",
- "name": "Echo App",
- "description": "upload a file",
- "definition": definition,
- },
- )
- client.post("/api/admin/workflows/echo-app/publish")
- return "echo-app"
-
-
-def test_upload_run_progress_and_download() -> None:
- """验证上传文件建任务、手动执行、查询产物与下载的完整流程。"""
- with TestClient(app) as client:
- workflow_id = _create_published_echo_workflow(client)
- apps = client.get("/api/apps")
- assert apps.status_code == 200
- assert any(item["id"] == workflow_id for item in apps.json())
-
- uploaded = client.post(
- f"/api/apps/{workflow_id}/runs",
- files={"file": ("sample.txt", b"hello from upload", "text/plain")},
- )
- assert uploaded.status_code == 200
- run_id = uploaded.json()["id"]
- assert uploaded.json()["status"] == "QUEUED"
-
- run = client.get(f"/api/runs/{run_id}")
- assert run.status_code == 200
- assert run.json()["input_uri"].endswith("sample.txt")
- assert run.json()["artifacts"] == []
-
- scheduler = app.state.scheduler
- scheduler.execute_run(run_id)
-
- completed = client.get(f"/api/runs/{run_id}")
- assert completed.status_code == 200
- assert completed.json()["status"] == "COMPLETED"
- artifact_names = [item["name"] for item in completed.json()["artifacts"]]
- assert "result" in artifact_names
-
- artifacts = client.get(f"/api/runs/{run_id}/artifacts")
- assert artifacts.status_code == 200
- assert len(artifacts.json()) >= 1
-
- downloaded = client.get(f"/api/runs/{run_id}/artifacts/result")
- assert downloaded.status_code == 200
- assert b"hello from upload" in downloaded.content
-
- assert client.get(f"/api/runs/{run_id}/artifacts/missing").status_code == 404
- assert client.get("/api/runs/missing").status_code == 404
- assert client.get("/api/runs/missing/artifacts").status_code == 404
-
- db = app.state.db
- db.create_artifact(
- {
- "run_id": run_id,
- "node_id": "step",
- "name": "missing-file",
- "uri": str(Path(__file__).resolve().parent / "not-exists.bin"),
- "mime_type": "text/plain",
- "size": 0,
- }
- )
- assert client.get(f"/api/runs/{run_id}/artifacts/missing-file").status_code == 404
-
- runs = client.get("/api/runs")
- assert runs.status_code == 200
- assert any(item["id"] == run_id for item in runs.json())
-
-
-def test_upload_rejects_unpublished_workflow() -> None:
- """验证草稿或不存在的工作流不能被用户发起任务。"""
- with TestClient(app) as client:
- client.post(
- "/api/admin/workflows",
- json={
- "id": "draft",
- "name": "Draft",
- "definition": {
- "name": "Draft",
- "version": 1,
- "nodes": [],
- "edges": [],
- },
- },
- )
- response = client.post(
- "/api/apps/draft/runs",
- files={"file": ("x.txt", b"x", "text/plain")},
- )
- assert response.status_code == 404
-
- response = client.post(
- "/api/apps/missing/runs",
- files={"file": ("x.txt", b"x", "text/plain")},
- )
- assert response.status_code == 404
-
-
-def test_upload_rejects_workflow_without_version() -> None:
- """验证已发布但没有任何版本的工作流返回 422。"""
- with TestClient(app) as client:
- db = app.state.db
- db.upsert_workflow(
- {"id": "empty", "name": "Empty", "published": 1, "latest_version": 0}
- )
- response = client.post(
- "/api/apps/empty/runs",
- files={"file": ("x.txt", b"x", "text/plain")},
- )
- assert response.status_code == 422
-
-
-def test_retry_failed_run_requeues_and_reruns() -> None:
- """验证失败任务重试会清空旧产物并重新执行成功。"""
- with TestClient(app) as client:
- workflow_id = _create_published_echo_workflow(client)
- uploaded = client.post(
- f"/api/apps/{workflow_id}/runs",
- files={"file": ("sample.txt", b"hello retry", "text/plain")},
- )
- run_id = uploaded.json()["id"]
- db = app.state.db
- db.update_run(
- run_id,
- status="FAILED",
- error="boom",
- updated_at="2026-01-01T00:00:00+00:00",
- )
- db.create_artifact(
- {
- "run_id": run_id,
- "node_id": "step",
- "name": "stale",
- "uri": "stale.txt",
- "mime_type": "text/plain",
- "size": 1,
- }
- )
-
- response = client.post(f"/api/runs/{run_id}/retry")
-
- assert response.status_code == 200
- assert response.json() == {"id": run_id, "status": "QUEUED"}
- run = client.get(f"/api/runs/{run_id}").json()
- assert run["status"] == "QUEUED"
- assert run["error"] is None
- assert run["artifacts"] == []
-
- app.state.scheduler.execute_run(run_id)
- completed = client.get(f"/api/runs/{run_id}").json()
- assert completed["status"] == "COMPLETED"
- assert any(item["name"] == "result" for item in completed["artifacts"])
-
-
-def test_pause_resume_run_api() -> None:
- """验证暂停/继续接口：QUEUED→PAUSED→QUEUED，状态非法时报 422。"""
- with TestClient(app) as client:
- workflow_id = _create_published_echo_workflow(client)
- uploaded = client.post(
- f"/api/apps/{workflow_id}/runs",
- files={"file": ("sample.txt", b"hello pause", "text/plain")},
- )
- run_id = uploaded.json()["id"]
- assert uploaded.json()["status"] == "QUEUED"
-
- from wov_app.config import STORAGE_DIR
- flag = STORAGE_DIR / "runs" / run_id / "paused.flag"
-
- paused = client.post(f"/api/runs/{run_id}/pause")
- assert paused.status_code == 200
- assert paused.json() == {"id": run_id, "status": "PAUSED"}
- assert client.get(f"/api/runs/{run_id}").json()["status"] == "PAUSED"
- # 暂停时写入暂停信号文件，供运行中的节点（如 OCR）逐帧检查并中止。
- assert flag.exists()
-
- resumed = client.post(f"/api/runs/{run_id}/resume")
- assert resumed.status_code == 200
- assert resumed.json() == {"id": run_id, "status": "QUEUED"}
- assert client.get(f"/api/runs/{run_id}").json()["status"] == "QUEUED"
- # 继续时清除暂停信号，避免误触发节点内暂停。
- assert not flag.exists()
-
- # 非 PAUSED 任务不可继续。
- assert client.post(f"/api/runs/{run_id}/resume").status_code == 422
- # 不存在的任务 404。
- assert client.post("/api/runs/missing/pause").status_code == 404
- assert client.post("/api/runs/missing/resume").status_code == 404
-
-
-def test_pause_rejects_terminal_states() -> None:
- """验证已完成任务不可暂停。"""
- with TestClient(app) as client:
- workflow_id = _create_published_echo_workflow(client)
- uploaded = client.post(
- f"/api/apps/{workflow_id}/runs",
- files={"file": ("sample.txt", b"hello done", "text/plain")},
- )
- run_id = uploaded.json()["id"]
- db = app.state.db
- db.update_run(run_id, status="COMPLETED", progress=1.0, updated_at="2026-01-01T00:00:00+00:00")
- assert client.post(f"/api/runs/{run_id}/pause").status_code == 422
-
-
-def test_retry_rejects_non_failed_and_missing_runs() -> None:
- """验证只有 FAILED 状态且存在的任务才能重试。"""
- with TestClient(app) as client:
- workflow_id = _create_published_echo_workflow(client)
- uploaded = client.post(
- f"/api/apps/{workflow_id}/runs",
- files={"file": ("sample.txt", b"x", "text/plain")},
- )
- run_id = uploaded.json()["id"]
-
- assert client.post(f"/api/runs/{run_id}/retry").status_code == 422
- assert client.post("/api/runs/missing/retry").status_code == 404
-
-
-def test_delete_run_removes_record_and_files() -> None:
- """验证删除任务会清理数据库记录与磁盘上的上传/步骤文件。"""
- import shutil
-
- from wov_app.config import STORAGE_DIR
-
- with TestClient(app) as client:
- workflow_id = _create_published_echo_workflow(client)
- uploaded = client.post(
- f"/api/apps/{workflow_id}/runs",
- files={"file": ("sample.txt", b"hello delete", "text/plain")},
- )
- run_id = uploaded.json()["id"]
-
- # 执行任务以生成步骤产物目录。
- app.state.scheduler.execute_run(run_id)
- run = client.get(f"/api/runs/{run_id}").json()
- steps_dir = STORAGE_DIR / "runs" / run_id
- assert steps_dir.is_dir()
- # 上传文件目录也应存在。
- upload_dir = Path(run["input_uri"]).parent
- assert upload_dir.is_dir()
-
- deleted = client.delete(f"/api/runs/{run_id}")
- assert deleted.status_code == 200
- assert deleted.json() == {"deleted": run_id}
-
- assert client.get(f"/api/runs/{run_id}").status_code == 404
- assert not steps_dir.exists()
- assert not upload_dir.exists()
-
- # 删除不存在的任务返回 404。
- assert client.delete(f"/api/runs/missing").status_code == 404
-
- # 清理测试遗留的 runs 目录，避免跨用例残留。
- shutil.rmtree(STORAGE_DIR / "runs", ignore_errors=True)
-
-
-def test_create_run_with_param_overrides() -> None:
- """验证创建任务时可携带 params 覆盖（如前端框选的 crop），并持久化。"""
- with TestClient(app) as client:
- workflow_id = _create_published_echo_workflow(client)
- uploaded = client.post(
- f"/api/apps/{workflow_id}/runs",
- files={"file": ("sample.txt", b"x", "text/plain")},
- data={"params": '{"step": {"crop": [0, 0.75, 1, 0.25]}}'},
- )
- assert uploaded.status_code == 200
- run_id = uploaded.json()["id"]
- run = client.get(f"/api/runs/{run_id}").json()
- assert run["param_overrides"] == {"step": {"crop": [0, 0.75, 1, 0.25]}}
- # 非法 JSON 返回 422。
- bad = client.post(
- f"/api/apps/{workflow_id}/runs",
- files={"file": ("sample.txt", b"x", "text/plain")},
- data={"params": "not-json"},
- )
- assert bad.status_code == 422
-
-
-def test_create_run_params_non_object_rejected() -> None:
- """params 为 JSON 数组时返回 422。"""
- with TestClient(app) as client:
- workflow_id = _create_published_echo_workflow(client)
- response = client.post(
- f"/api/apps/{workflow_id}/runs",
- files={"file": ("sample.txt", b"x", "text/plain")},
- data={"params": "[1,2,3]"},
- )
- assert response.status_code == 422
diff --git a/tests/test_batch.py b/tests/test_batch.py
deleted file mode 100644
index 762a3a3..0000000
--- a/tests/test_batch.py
+++ /dev/null
@@ -1,1481 +0,0 @@
-"""文件夹批量处理引擎与 API 测试。
-
-覆盖：视频扫描与旁挂字幕判定、创建任务时一次性定位（已有字幕 → SKIPPED）、
-运行时只消费已定位明细、产物复制到视频旁与过程文件清理、暂停/继续断点续跑、
-失败视频不中断、批量 API 全端点（创建/列表/详情/暂停/继续/删除/下载/目录树）
-与 404/422 分支。
-"""
-
-import json
-import time
-from datetime import datetime, timezone
-from pathlib import Path
-
-import pytest
-from fastapi.testclient import TestClient
-
-from wov_app import batch as batch_engine
-from wov_app.batch import (
- BATCH_WORK_ROOT,
- MARKER_NAME,
- PAUSE_FLAG,
- BatchWorker,
- create_job,
- list_sidecar_subtitles,
- load_marker,
- remove_job_workspace,
- scan_videos,
-)
-from wov_app.config import STORAGE_DIR
-from wov_app.db import Database
-from wov_app.main import app
-from wov_sdk.models import WorkflowDefinition
-
-
-def _now_iso() -> str:
- """返回当前 UTC 时间的 ISO 格式字符串。"""
- return datetime.now(timezone.utc).isoformat()
-
-
-def _db(tmp_path) -> Database:
- """在临时目录创建独立数据库。"""
- return Database(tmp_path / "wov.db")
-
-
-def _seed_echo_workflow(db: Database, workflow_id: str = "echo-app", published: bool = True) -> None:
- """创建引用 echo 节点的单节点工作流（真实数据流：输入文件复制为产物）。
-
- 幂等：先删除同 ID 的旧工作流（含版本与任务），再重新创建。
- """
- definition = {
- "name": "echo-flow",
- "version": 1,
- "nodes": [
- {"id": "step", "node_type": "echo", "inputs": {"file_uri": "input.video_uri"}}
- ],
- "edges": [],
- "entry_inputs": {"video_uri": "file"},
- "final_outputs": {"result": "step.file_uri"},
- }
- # 批量测试会真实执行 echo 节点，注册表由 conftest 每测试隔离，需显式注册。
- _register_echo()
- if db.get_workflow(workflow_id) is not None:
- db.delete_workflow(workflow_id)
- db.upsert_workflow(
- {
- "id": workflow_id,
- "name": "Echo",
- "description": "",
- "published": 1 if published else 0,
- "latest_version": 1,
- }
- )
- db.create_workflow_version(workflow_id, 1, definition)
-
-
-def _register_echo() -> None:
- """把内置 echo 节点注册到进程内注册表（conftest 每个测试隔离注册表）。"""
- from wov_app import registry
- from nodes.echo import invoke
- from wov_sdk.models import NodeManifest
-
- root = Path(__file__).resolve().parent.parent
- registry.register(NodeManifest.load(str(root / "manifests" / "echo.json")), invoke)
-
-
-def _video_folder(tmp_path, names=("a.mp4", "b.mp4")) -> Path:
- """创建含视频文件的文件夹：内容为真实文本（echo 节点按文本读入）。"""
- folder = tmp_path / "videos"
- folder.mkdir()
- for index, name in enumerate(names, start=1):
- (folder / name).write_text(f"视频 {name} 的测试内容 {index}\n", encoding="utf-8")
- return folder
-
-
-def _make_job(db: Database, folder: Path, workflow_id: str = "echo-app", recursive: bool = True) -> dict:
- """通过 create_job 创建批量任务并返回任务记录。"""
- job_id = create_job(db, str(folder), workflow_id, recursive)
- return db.get_batch_job(job_id)
-
-
-def _create_run(
- db: Database,
- run_id: str,
- folder: Path,
- workflow_id: str = "echo-app",
- status: str = "QUEUED",
- name: str = "a",
-) -> None:
- """创建一条 source=batch 的运行记录（input 指向 folder 下的视频文件）。"""
- db.create_run(
- {
- "id": run_id,
- "workflow_id": workflow_id,
- "workflow_version": 1,
- "status": status,
- "progress": 0,
- "input_uri": str(folder / f"{name}.mp4"),
- "param_overrides": None,
- "source": "batch",
- "created_at": _now_iso(),
- "updated_at": _now_iso(),
- }
- )
-
-
-def _find_product(video_dir: Path, stem: str, alias: str) -> Path:
- """在同名输出位置查找最终产物文件（文件名以 主名.别名 开头）。"""
- matches = list(video_dir.glob(f"{stem}.{alias}.*"))
- assert matches, f"未找到产物 {stem}.{alias}.* in {video_dir}"
- return matches[0]
-
-
-# ---------------------------------------------------------------------------
-# 扫描 / 旁挂字幕判定 / 完成标记读取
-# ---------------------------------------------------------------------------
-
-
-def test_scan_videos_recursive_and_top_level(tmp_path) -> None:
- """递归/非递归扫描只返回视频文件，隐藏目录与普通文件不参与。"""
- folder = tmp_path / "media"
- (folder / "sub").mkdir(parents=True)
- (folder / "a.mp4").write_text("a", encoding="utf-8")
- (folder / "b.MKV").write_text("b", encoding="utf-8")
- (folder / "readme.txt").write_text("c", encoding="utf-8")
- (folder / "sub" / "c.avi").write_text("d", encoding="utf-8")
- (folder / "sub" / "notes.md").write_text("e", encoding="utf-8")
-
- recursive = scan_videos(folder, recursive=True)
- assert [p.name for p in recursive] == ["a.mp4", "b.MKV", "c.avi"]
- flat = scan_videos(folder, recursive=False)
- assert [p.name for p in flat] == ["a.mp4", "b.MKV"]
-
-
-def test_list_sidecar_subtitles_matches(tmp_path) -> None:
- """视频旁"文件名含视频名"的字幕文件全部命中；不相关/非字幕/别的目录不算。"""
- folder = tmp_path / "media"
- (folder / "sub").mkdir(parents=True)
- video = folder / "movie.mp4"
- video.write_text("v", encoding="utf-8")
- # 命中：同目录、字幕扩展名、文件名含视频主名（大小写不敏感）。
- (folder / "movie.srt").write_text("s", encoding="utf-8")
- (folder / "movie.CN.srt").write_text("s", encoding="utf-8")
- (folder / "MOVIE.CN_dual_eye.ass").write_text("s", encoding="utf-8")
- (folder / "movie.zh-CN.20260819120000.srt").write_text("s", encoding="utf-8")
- # 不命中：不含视频主名、非字幕扩展名、子目录里的字幕。
- (folder / "other.srt").write_text("s", encoding="utf-8")
- (folder / "movie.jpg").write_text("s", encoding="utf-8")
- (folder / "sub" / "movie.srt").write_text("s", encoding="utf-8")
-
- names = [p.name for p in list_sidecar_subtitles(video)]
- assert names == [
- "MOVIE.CN_dual_eye.ass",
- "movie.CN.srt",
- "movie.srt",
- "movie.zh-CN.20260819120000.srt",
- ]
-
-
-def test_list_sidecar_subtitles_short_stem_and_unrelated(tmp_path) -> None:
- """单字符视频主名只接受"主名."前缀，避免 a.mp4 误配 apple.srt。"""
- folder = tmp_path / "media"
- folder.mkdir()
- video = folder / "a.mp4"
- video.write_text("v", encoding="utf-8")
- (folder / "apple.srt").write_text("s", encoding="utf-8")
- (folder / "b.srt").write_text("s", encoding="utf-8")
- assert list_sidecar_subtitles(video) == []
- (folder / "a.srt").write_text("s", encoding="utf-8")
- assert [p.name for p in list_sidecar_subtitles(video)] == ["a.srt"]
-
-
-def test_list_sidecar_subtitles_handles_unreadable_entries(tmp_path, monkeypatch) -> None:
- """目录不可读返回空列表；单个子项不可读时跳过该项不影响其余匹配。"""
- from pathlib import Path as RealPath
-
- # 整目录不可读（iterdir 抛 OSError）→ 保守返回空。
- class _Denied(RealPath):
- """iterdir 恒抛权限错误的子类，模拟不可读的视频目录。"""
-
- def iterdir(self):
- raise OSError("denied")
-
- denied = _Denied(str(tmp_path / "denied"))
- assert list_sidecar_subtitles(denied / "a.mp4") == []
-
- # 单个子项不可读（is_file 抛 OSError）→ 跳过该项，其余正常返回。
- folder = tmp_path / "media"
- folder.mkdir()
- video = folder / "a.mp4"
- video.write_text("v", encoding="utf-8")
- (folder / "a.srt").write_text("s", encoding="utf-8")
-
- class _Poison(RealPath):
- """is_file 恒抛权限错误的子类，模拟不可读的目录项。"""
-
- def is_file(self):
- raise OSError("denied")
-
- real_iterdir = RealPath.iterdir
-
- def mixed_iterdir(path):
- return list(real_iterdir(path)) + [_Poison(str(folder / "secret"))]
-
- monkeypatch.setattr(RealPath, "iterdir", mixed_iterdir)
- assert [p.name for p in list_sidecar_subtitles(video)] == ["a.srt"]
-
-
-def test_load_marker_variants(tmp_path, monkeypatch) -> None:
- """完成标记缺失/损坏/非字典/读取异常时返回 None。"""
- work = tmp_path / "movie"
- work.mkdir()
- assert load_marker(work) is None
- (work / MARKER_NAME).write_text("{broken json", encoding="utf-8")
- assert load_marker(work) is None
- (work / MARKER_NAME).write_text("[1,2]", encoding="utf-8")
- assert load_marker(work) is None
- (work / MARKER_NAME).write_text('{"workflow_id": "w", "finals": {"r": "m.txt"}}', encoding="utf-8")
- assert load_marker(work)["finals"]["r"] == "m.txt"
-
- # 读取抛 OSError（权限等）时同样保守视为无标记。
- from pathlib import Path as RealPath
-
- def broken_read_text(path, **kwargs):
- raise OSError("denied")
-
- monkeypatch.setattr(RealPath, "read_text", broken_read_text)
- assert load_marker(work) is None
-
-
-def test_remove_job_workspace(tmp_path) -> None:
- """删除任务级私有工作空间；目录不存在时静默无副作用。"""
- job_dir = BATCH_WORK_ROOT / "batch_del"
- (job_dir / "runs" / "run_x").mkdir(parents=True)
- remove_job_workspace("batch_del")
- assert not job_dir.exists()
- remove_job_workspace("batch_missing")
-
-
-# ---------------------------------------------------------------------------
-# create_job：校验 + 一次性定位（已有字幕 → SKIPPED）
-# ---------------------------------------------------------------------------
-
-
-def test_create_job_validation_errors(tmp_path) -> None:
- """文件夹不存在、未发布工作流、无版本、无视频都拒绝创建。"""
- db = _db(tmp_path)
- folder = _video_folder(tmp_path)
- with pytest.raises(ValueError, match="folder not found"):
- create_job(db, str(tmp_path / "missing"), "echo-app")
- with pytest.raises(ValueError, match="published workflow not found"):
- create_job(db, str(folder), "ghost-flow")
- _seed_echo_workflow(db, published=False)
- with pytest.raises(ValueError, match="published workflow not found"):
- create_job(db, str(folder), "echo-app")
- # 有版本但文件夹里没有视频。
- _seed_echo_workflow(db, published=True)
- empty = tmp_path / "empty"
- empty.mkdir()
- with pytest.raises(ValueError, match="no videos found in folder"):
- create_job(db, str(empty), "echo-app")
- # 已发布但没有版本的工作流。
- db.delete_workflow("echo-app")
- db.upsert_workflow({"id": "echo-app", "name": "E", "description": "", "published": 1, "latest_version": 0})
- with pytest.raises(ValueError, match="workflow has no version"):
- create_job(db, str(folder), "echo-app")
-
-
-def test_create_job_locates_all_videos_once(tmp_path) -> None:
- """创建任务时一次性定位：全部视频登记明细、递归标志落库、可被引擎拾起。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- (tmp_path / "videos" / "sub").mkdir(parents=True)
- (tmp_path / "videos" / "a.mp4").write_text("a", encoding="utf-8")
- (tmp_path / "videos" / "sub" / "b.mkv").write_text("b", encoding="utf-8")
- job = _make_job(db, tmp_path / "videos", recursive=True)
- assert job["status"] == "QUEUED"
- videos = db.list_batch_videos(job["id"])
- assert {Path(v["video_path"]).name for v in videos} == {"a.mp4", "b.mkv"}
- assert all(v["status"] == "PENDING" for v in videos)
- # 工作空间位于应用私有存储目录（与媒体库隔离），且每个视频独立目录。
- assert all(Path(v["work_dir"]).is_relative_to(BATCH_WORK_ROOT / job["id"]) for v in videos)
- assert db.next_queued_batch_job()["id"] == job["id"]
-
-
-def test_create_job_skips_videos_with_existing_subtitles(tmp_path) -> None:
- """视频旁已有对应字幕文件的直接记 SKIPPED，其余 PENDING（不触发流水线）。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- # a 已处理过（视频旁有中文双目字幕），b 未处理。
- (folder / "a.CN_dual_eye.ass").write_text("已处理", encoding="utf-8")
-
- job = _make_job(db, folder)
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos["a.mp4"]["status"] == "SKIPPED"
- assert videos["a.mp4"]["run_id"] is None
- assert videos["b.mp4"]["status"] == "PENDING"
-
-
-def test_create_job_all_videos_skipped_still_created(tmp_path) -> None:
- """文件夹里全部视频都已有字幕时任务直接视为完成（无字幕视频数为 0）。
-
- 新口径（2026-09）：total = 扫描出的无字幕视频数，全被 SKIPPED 时
- total=0 且没有可处理项，创建即置 COMPLETED，不排队空跑。
- """
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- (folder / "a.CN.srt").write_text("x", encoding="utf-8")
- (folder / "b.CN_dual_eye.ass").write_text("x", encoding="utf-8")
- job = _make_job(db, folder)
- assert job["status"] == "COMPLETED"
- assert job["total"] == 0 and job["done"] == 0
- assert all(v["status"] == "SKIPPED" for v in db.list_batch_videos(job["id"]))
-
-
-# ---------------------------------------------------------------------------
-# 引擎：完整处理 / 跳过 / 失败 / 暂停续跑 / 收尾清理
-# ---------------------------------------------------------------------------
-
-
-def test_batch_worker_processes_all_videos_and_cleans_up(tmp_path) -> None:
- """批量引擎逐个处理视频：产物复制到视频旁、run 记录与过程工作空间清理。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path)
- job = _make_job(db, folder)
- worker = BatchWorker(db, interval_seconds=0.05)
- worker._process_job(job)
-
- job = db.get_batch_job(job["id"])
- assert job["status"] == "COMPLETED"
- assert job["done"] == 2 and job["failed"] == 0
- for name in ("a", "b"):
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- row = videos[f"{name}.mp4"]
- # 最终产物复制到视频旁（与 .mp4 同目录），内容与输入一致（真实数据流）。
- product = _find_product(folder, name, "result")
- assert product.parent == folder
- assert product.read_text(encoding="utf-8") == (folder / f"{name}.mp4").read_text(encoding="utf-8")
- # 视频状态 COMPLETED 且 run 引用清空；不再写完成标记。
- assert row["status"] == "COMPLETED"
- assert row["run_id"] is None
- assert not (Path(row["work_dir"]) / MARKER_NAME).exists()
- # 过程工作空间（含 runs/steps/音频分块等）已被整体清理，不在媒体库残留。
- assert not Path(row["work_dir"]).exists()
- # run 记录已删除（产物已放视频旁，不再依赖原文件）。
- assert db.list_runs() == []
-
-
-def test_batch_worker_skips_videos_with_existing_subtitles(tmp_path) -> None:
- """已有字幕的视频在创建时记 SKIPPED，不进入 total/done，只统计真正处理的。
-
- 新口径（2026-09）：total=无字幕视频数（不含 SKIPPED），done=实际完成数。
- """
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- (folder / "a.CN_dual_eye.ass").write_text("已处理", encoding="utf-8")
- job = _make_job(db, folder)
- # 创建时 total 已固定为无字幕数（b 一个），SKIPPED 不计入。
- assert db.get_batch_job(job["id"])["total"] == 1
- BatchWorker(db, interval_seconds=0.05)._process_job(job)
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos["a.mp4"]["status"] == "SKIPPED"
- assert videos["a.mp4"]["run_id"] is None
- assert videos["b.mp4"]["status"] == "COMPLETED"
- job = db.get_batch_job(job["id"])
- # done 只计实际完成的 b（1 个），不再把 SKIPPED 的 a 计入。
- assert job["done"] == 1 and job["total"] == 1
-
-
-def test_batch_worker_all_skipped_job_completes(tmp_path) -> None:
- """全部视频都有字幕时创建即视为完成（total=0），不创建任何 run。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- (folder / "a.srt").write_text("x", encoding="utf-8")
- (folder / "b.CN.srt").write_text("x", encoding="utf-8")
- job = _make_job(db, folder)
- # 新口径：无字幕视频数为 0 → 创建即 COMPLETED，引擎不需要再跑。
- assert db.get_batch_job(job["id"])["status"] == "COMPLETED"
- assert db.get_batch_job(job["id"])["total"] == 0
- assert db.get_batch_job(job["id"])["done"] == 0
- assert db.list_runs() == []
-
-
-def test_batch_worker_failed_video_continues(tmp_path) -> None:
- """缺失视频文件记为 FAILED，任务继续处理后续视频。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("gone.mp4", "b.mp4"))
- job = _make_job(db, folder)
- # 任务创建后、处理前删除第一个视频（模拟外部移除），第二个正常处理。
- (folder / "gone.mp4").unlink()
- BatchWorker(db, interval_seconds=0.05)._process_job(job)
-
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos["gone.mp4"]["status"] == "FAILED"
- assert videos["gone.mp4"]["error"] == "video file not found"
- assert videos["b.mp4"]["status"] == "COMPLETED"
- job = db.get_batch_job(job["id"])
- assert job["status"] == "COMPLETED"
- assert job["done"] == 1 and job["failed"] == 1
-
-
-def test_batch_worker_process_exception_marks_video_failed(tmp_path, monkeypatch) -> None:
- """单视频执行抛异常：该视频 FAILED 带错误信息，任务继续处理后续视频。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- job = _make_job(db, folder)
-
- class _BoomScheduler:
- """execute_run 直接抛异常的假调度器，触发单视频兜底分支。"""
-
- def __init__(self, db: Database, work_dir: Path) -> None:
- self.db = db
-
- def execute_run(self, run_id: str) -> None:
- raise RuntimeError("boom")
-
- monkeypatch.setattr("wov_app.batch.WorkflowScheduler", _BoomScheduler)
- BatchWorker(db, interval_seconds=0.05)._process_job(job)
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos["a.mp4"]["status"] == "FAILED"
- assert "boom" in videos["a.mp4"]["error"]
- assert videos["b.mp4"]["status"] == "FAILED"
- assert db.get_batch_job(job["id"])["status"] == "COMPLETED"
-
-
-class _PausingScheduler:
- """把 execute_run 模拟为"被暂停"的假调度器：置 run 为 PAUSED。"""
-
- def __init__(self, db: Database, work_dir: Path) -> None:
- self.db = db
- self.work_dir = work_dir
-
- def execute_run(self, run_id: str) -> None:
- self.db.update_run(run_id, status="PAUSED", updated_at=_now_iso())
-
-
-def test_batch_worker_pause_then_resume_continues(tmp_path, monkeypatch) -> None:
- """暂停后重新开始：PAUSED 视频从断点续跑，未开始的视频接着处理。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- job = _make_job(db, folder)
- worker = BatchWorker(db, interval_seconds=0.05)
-
- # 第一次执行：第一个视频处理中被暂停（假调度器把 run 置为 PAUSED）。
- monkeypatch.setattr("wov_app.batch.WorkflowScheduler", _PausingScheduler)
- worker._process_job(job)
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos["a.mp4"]["status"] == "PAUSED"
- assert videos["b.mp4"]["status"] == "PENDING"
- assert db.get_batch_job(job["id"])["status"] == "PAUSED"
-
- # 恢复真实调度器并继续：a 从断点完成（收尾清理），b 接着处理，任务 COMPLETED。
- monkeypatch.undo()
- worker.resume_job(job["id"])
- worker._process_job(db.get_batch_job(job["id"]))
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos["a.mp4"]["status"] == "COMPLETED"
- assert videos["b.mp4"]["status"] == "COMPLETED"
- assert db.get_batch_job(job["id"])["status"] == "COMPLETED"
-
- # 再次处理（已完成视频在循环里直接 continue）：结果不变，幂等。
- worker._process_job(db.get_batch_job(job["id"]))
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos["a.mp4"]["status"] == "COMPLETED"
- assert videos["b.mp4"]["status"] == "COMPLETED"
- assert db.get_batch_job(job["id"])["done"] == 2
-
-
-def test_batch_worker_paused_job_does_not_start_new_video(tmp_path, monkeypatch) -> None:
- """任务在视频之间被暂停：后续视频不开始，不创建 run。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- job = _make_job(db, folder)
- job_id = job["id"]
- from wov_app.scheduler import WorkflowScheduler
-
- class _PauseAfterFirstScheduler:
- """真实执行第一个视频后把批量任务置为 PAUSED（模拟用户处理中暂停）。"""
-
- def __init__(self, db: Database, work_dir: Path) -> None:
- self.db = db
- self.work_dir = work_dir
-
- def execute_run(self, run_id: str) -> None:
- WorkflowScheduler(self.db, self.work_dir).execute_run(run_id)
- self.db.update_batch_job(job_id, status="PAUSED", updated_at=_now_iso())
-
- monkeypatch.setattr("wov_app.batch.WorkflowScheduler", _PauseAfterFirstScheduler)
- BatchWorker(db, interval_seconds=0.05)._process_job(db.get_batch_job(job_id))
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job_id)}
- # 第一个视频真实完成；第二个视频在开始前因任务已暂停而不处理。
- assert videos["a.mp4"]["status"] == "COMPLETED"
- assert videos["b.mp4"]["status"] == "PENDING"
- assert videos["b.mp4"]["run_id"] is None
- assert db.get_batch_job(job_id)["status"] == "PAUSED"
-
-
-def test_batch_worker_failed_and_running_runs_resume(tmp_path) -> None:
- """已失败的 run 重跑、上次进程残留的 RUNNING run 恢复后继续（收尾清理）。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- job = _make_job(db, folder)
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- for name, status in (("a", "FAILED"), ("b", "RUNNING")):
- run_id = f"run_{name}"
- _create_run(db, run_id, folder, status=status, name=name)
- db.update_batch_video(videos[f"{name}.mp4"]["id"], run_id=run_id, updated_at=_now_iso())
-
- BatchWorker(db, interval_seconds=0.05)._process_job(db.get_batch_job(job["id"]))
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos["a.mp4"]["status"] == "COMPLETED"
- assert videos["b.mp4"]["status"] == "COMPLETED"
-
-
-def test_batch_worker_retry_failed_keeps_completed_node_artifacts(tmp_path) -> None:
- """批量重试 FAILED 视频**保留已完成节点产物**：只重跑失败节点。
-
- 回归：此前 FAILED 走 reset_run 清空全部产物记录，重跑时 extract/ocr 等
- 长耗时节点从头重做（run_e2b74e89e232 的 22222 帧 OCR 被白白丢弃）。
- 通过改写 step1 产物内容验证：若 step1 被重跑，最终产物会恢复为源视频
- 文本；保留产物则最终产物内容为改写后的内容。
- """
- db = _db(tmp_path)
- _register_echo()
- # 双节点串联工作流：step1 成功、step2 失败的场景下验证只重跑 step2。
- definition = {
- "name": "two-step",
- "version": 1,
- "nodes": [
- {"id": "s1", "node_type": "echo", "inputs": {"file_uri": "input.video_uri"}},
- {"id": "s2", "node_type": "echo", "inputs": {"file_uri": "s1.file_uri"}},
- ],
- "edges": [{"from": "s1", "to": "s2"}],
- "entry_inputs": {"video_uri": "file"},
- "final_outputs": {"result": "s2.file_uri"},
- }
- db.upsert_workflow({"id": "echo-app", "name": "Echo", "description": "", "published": 1, "latest_version": 1})
- db.create_workflow_version("echo-app", 1, definition)
- folder = _video_folder(tmp_path, names=("a.mp4",))
- job = _make_job(db, folder)
- video = db.list_batch_videos(job["id"])[0]
- run_id = "run_retry"
- _create_run(db, run_id, folder, status="FAILED", name="a")
- db.update_batch_video(video["id"], run_id=run_id, updated_at=_now_iso())
-
- # 模拟 step1 已完成并登记产物，把其内容改写为与源视频不同（step2 会引用）。
- s1_out = Path(video["work_dir"]) / "runs" / run_id / "steps" / "s1" / "echo.txt"
- s1_out.parent.mkdir(parents=True)
- s1_out.write_text("step1 已保留产物", encoding="utf-8")
- db.create_artifact(
- {
- "run_id": run_id,
- "node_id": "s1",
- "name": "s1.file_uri",
- "uri": str(s1_out),
- "mime_type": "text/plain",
- "size": s1_out.stat().st_size,
- }
- )
-
- BatchWorker(db, interval_seconds=0.05)._process_job(db.get_batch_job(job["id"]))
- video = db.list_batch_videos(job["id"])[0]
- assert video["status"] == "COMPLETED"
- # step1 未重跑：最终产物内容等于保留的 step1 产物，而不是源视频文本。
- product = _find_product(folder, "a", "result")
- assert product.read_text(encoding="utf-8") == "step1 已保留产物"
-
-
-def test_batch_worker_stale_run_id_recreated(tmp_path) -> None:
- """明细里的 run_id 指向已不存在的 run 时按全新视频处理并正常完成。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4",))
- job = _make_job(db, folder)
- video = db.list_batch_videos(job["id"])[0]
- db.update_batch_video(video["id"], run_id="run_dead", updated_at=_now_iso())
-
- BatchWorker(db, interval_seconds=0.05)._process_job(job)
- video = db.list_batch_videos(job["id"])[0]
- assert video["status"] == "COMPLETED"
- assert db.get_run("run_dead") is None
- assert _find_product(folder, "a", "result").is_file()
-
-
-def test_batch_worker_run_deleted_by_scheduler_returns(tmp_path, monkeypatch) -> None:
- """execute_run 期间 run 记录被删除（极端情况）时直接返回，不误标完成。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4",))
- job = _make_job(db, folder)
-
- class _DeletingScheduler:
- """execute_run 直接删除 run 记录的假调度器。"""
-
- def __init__(self, db: Database, work_dir: Path) -> None:
- self.db = db
-
- def execute_run(self, run_id: str) -> None:
- self.db.delete_run(run_id)
-
- monkeypatch.setattr("wov_app.batch.WorkflowScheduler", _DeletingScheduler)
- BatchWorker(db, interval_seconds=0.05)._process_job(job)
- video = db.list_batch_videos(job["id"])[0]
- # 不标 COMPLETED/FAILED，保持 PENDING，等待下一次处理重试。
- assert video["status"] == "PENDING"
-
-
-def test_batch_worker_pending_leftover_never_marks_completed(tmp_path, monkeypatch) -> None:
- """残留未处理 PENDING 视频时，任务**不得**置 COMPLETED（状态机缺陷回归）。
-
- 真实事故（batch_969fabe74b83 等 3 个任务）：引擎串行处理到 9.9GB 大视频时
- execute_run 异常中断，_process_video 返回但该视频未被标 FAILED/COMPLETED
- （保持 PENDING），_run_job 循环照常走完剩余 SKIPPED 后**无条件**收尾置
- COMPLETED——留下"10 个待处理却已完成"的僵尸状态。
-
- 本测试用假调度器复现：第一个视频 execute_run 抛异常且不标任何状态
- （run 被删除的极端情形同路径），第二个视频正常；断言任务必须保持
- RUNNING（而非 COMPLETED），等待引擎下一次拾起重跑剩余 PENDING。
- """
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- # a.mp4 待处理（处理中崩溃）；b.mp4 旁放好字幕 → 创建即 SKIPPED，不参与处理。
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- (folder / "b.CN.srt").write_text("1\n00:00:00,000 --> 00:00:01,000\nb\n", encoding="utf-8")
- job = _make_job(db, folder)
- videos0 = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos0["b.mp4"]["status"] == "SKIPPED" # 前置：旁挂字幕命中跳过
-
- class _CrashScheduler:
- """模拟进程在第一个（唯一待处理）视频处理中被杀：run 消失、视频保持 PENDING。"""
-
- def __init__(self, db: Database, work_dir: Path) -> None:
- self.db = db
-
- def execute_run(self, run_id: str) -> None:
- # 等同进程崩溃后 run 记录残留被清/丢失，视频仍是 PENDING。
- self.db.delete_run(run_id)
-
- monkeypatch.setattr("wov_app.batch.WorkflowScheduler", _CrashScheduler)
- worker = BatchWorker(db, interval_seconds=0.05)
- # 第一轮：a 崩溃残留 PENDING → 任务必须仍 RUNNING（允许续跑），不得 COMPLETED。
- worker._process_job(job)
- job = db.get_batch_job(job["id"])
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- # 缺陷行为：job 被置 COMPLETED（无条件收尾）；期望保持 RUNNING。
- assert videos["a.mp4"]["status"] == "PENDING"
- assert videos["b.mp4"]["status"] == "SKIPPED"
- assert job["status"] == "RUNNING", (
- f"残留 PENDING 时任务被误置为 {job['status']}（缺陷：无条件收尾置 COMPLETED）"
- )
-
- # 第二轮（引擎重启后再次拾起 RUNNING 任务）：a 这次正常完成 → 全部完成才 COMPLETED。
- monkeypatch.setattr("wov_app.batch.WorkflowScheduler", _CrashScheduler)
- # 放开假调度器的崩溃：第二次调用时不再删 run，让真实调度器跑通。
- class _RecoveringScheduler:
- """第二轮：真实执行工作流并产生成品，由引擎收尾放置。"""
-
- def __init__(self, db: Database, work_dir: Path) -> None:
- self.db = db
-
- def execute_run(self, run_id: str) -> None:
- from wov_app.scheduler import WorkflowScheduler
-
- video = self.db.list_batch_videos(job["id"])[0]
- WorkflowScheduler(self.db, Path(video["work_dir"])).execute_run(run_id)
-
- monkeypatch.setattr("wov_app.batch.WorkflowScheduler", _RecoveringScheduler)
- worker._process_job(job)
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job["id"])}
- assert videos["a.mp4"]["status"] == "COMPLETED"
- assert db.get_batch_job(job["id"])["status"] == "COMPLETED"
-
-
-def test_batch_worker_already_completed_runs_finalized(tmp_path) -> None:
- """run 已完成但视频未标记（收尾前中断）：直接放置产物、清理并标记完成。
-
- 覆盖 _place_products 各分支：产物齐全（复制）、产物记录存在但文件丢失
- （报错）、无产物记录（报错）——只有成品齐全才清理工作空间与 run 记录。
- """
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4", "c.mp4"))
- job = _make_job(db, folder)
- now = _now_iso()
- videos = {Path(v["video_path"]).stem: v for v in db.list_batch_videos(job["id"])}
-
- def complete_run(run_id: str, name: str, with_file: bool, with_artifact: bool) -> None:
- """创建 COMPLETED run；可选产物文件与产物记录。"""
- _create_run(db, run_id, folder, status="COMPLETED", name=name)
- work_dir = Path(videos[name]["work_dir"])
- work_dir.mkdir(parents=True)
- if with_artifact:
- path = work_dir / "runs" / run_id / "steps" / "step" / f"{name}.result.txt"
- db.create_artifact(
- {
- "run_id": run_id,
- "node_id": "step",
- "name": "result",
- "uri": str(path),
- "mime_type": "text/plain",
- "size": 6,
- }
- )
- if with_file:
- path = work_dir / "runs" / run_id / "steps" / "step" / f"{name}.result.txt"
- path.parent.mkdir(parents=True, exist_ok=True)
- path.write_text(f"产物 {name}", encoding="utf-8")
- db.update_batch_video(videos[name]["id"], run_id=run_id, updated_at=now)
-
- # a：产物齐全；b：产物记录存在但文件丢失；c：没有任何产物记录。
- complete_run("run_done_a", "a", with_file=True, with_artifact=True)
- complete_run("run_done_b", "b", with_file=False, with_artifact=True)
- complete_run("run_done_c", "c", with_file=False, with_artifact=False)
-
- BatchWorker(db, interval_seconds=0.05)._process_job(db.get_batch_job(job["id"]))
- videos = {Path(v["video_path"]).stem: v for v in db.list_batch_videos(job["id"])}
- assert videos["a"]["status"] == "COMPLETED"
- assert all(videos[name]["status"] == "FAILED" for name in ("b", "c"))
- # a 的产物复制到视频旁；b/c 无产物可复制。
- product = _find_product(folder, "a", "result")
- assert product.read_text(encoding="utf-8") == "产物 a"
- assert not list(folder.glob("b.result.*")) and not list(folder.glob("c.result.*"))
- # a 清理完成；b/c 必须保留工作空间、关联 run 与错误供修复后重试。
- assert not Path(videos["a"]["work_dir"]).exists()
- assert db.get_run("run_done_a") is None
- for name in ("b", "c"):
- assert Path(videos[name]["work_dir"]).exists()
- assert db.get_run(f"run_done_{name}") is not None
- assert videos[name]["run_id"] == f"run_done_{name}"
- assert "result" in videos[name]["error"]
-
-
-def test_batch_worker_place_products_branches(tmp_path) -> None:
- """_place_products：无产物记录/文件丢失报错；.srt/.ass 按库内约定命名覆盖；
- 其他扩展名保留原文件名复制。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4",))
- video = folder / "a.mp4"
- run_id = "run_place"
- _create_run(db, run_id, folder, name="a")
- source_dir = tmp_path / "src"
- source_dir.mkdir()
- worker = BatchWorker(db, interval_seconds=0.05)
- definition = {
- "name": "multi-final",
- "version": 1,
- "nodes": [],
- "edges": [],
- "entry_inputs": {"video_uri": "file"},
- # 无产物记录 / 文件丢失 / srt / ass / txt 五种 final 场景。
- "final_outputs": {
- "alias_none": "x.none",
- "alias_lost": "x.lost",
- "alias_srt": "step.srt",
- "alias_ass": "step.ass",
- "alias_txt": "step.txt",
- },
- }
- # alias_lost：产物记录存在但指向的文件已丢失 → 跳过不放置。
- db.create_artifact(
- {"run_id": run_id, "node_id": "step", "name": "alias_lost", "uri": str(source_dir / "lost.srt"), "mime_type": "text/plain", "size": 0}
- )
- # alias_srt：中文 srt → <视频名>.CN.srt；目标已存在（旧内容）→ 覆盖。
- src_srt = source_dir / "raw_any_name.srt"
- src_srt.write_text("1\n00:00:00,000 --> 00:00:01,000\n新中文字幕\n", encoding="utf-8")
- db.create_artifact(
- {"run_id": run_id, "node_id": "step", "name": "alias_srt", "uri": str(src_srt), "mime_type": "text/plain", "size": src_srt.stat().st_size}
- )
- target_srt = video.parent / "a.CN.srt"
- target_srt.write_text("旧字幕内容", encoding="utf-8")
- # alias_ass：双目 ass → <视频名>.CN_dual_eye.ass；覆盖同名旧文件。
- src_ass = source_dir / "whatever.ass"
- src_ass.write_text("[Script Info]\n新双目字幕\n", encoding="utf-8")
- db.create_artifact(
- {"run_id": run_id, "node_id": "step", "name": "alias_ass", "uri": str(src_ass), "mime_type": "text/plain", "size": src_ass.stat().st_size}
- )
- target_ass = video.parent / "a.CN_dual_eye.ass"
- target_ass.write_text("旧 ass", encoding="utf-8")
- # alias_txt：其他扩展名保留原文件名（含时间戳命名）复制。
- src_txt = source_dir / "a.other.20260902120000.txt"
- src_txt.write_text("其余产物内容", encoding="utf-8")
- db.create_artifact(
- {"run_id": run_id, "node_id": "step", "name": "alias_txt", "uri": str(src_txt), "mime_type": "text/plain", "size": src_txt.stat().st_size}
- )
-
- # 所有必需成品预检通过前不开始覆盖，缺失原因中包含具体别名。
- with pytest.raises(ValueError, match="alias_none"):
- worker._place_products(run_id, video, WorkflowDefinition.from_dict(definition))
- del definition["final_outputs"]["alias_none"]
- with pytest.raises(ValueError, match="alias_lost"):
- worker._place_products(run_id, video, WorkflowDefinition.from_dict(definition))
- assert target_srt.read_text(encoding="utf-8") == "旧字幕内容"
- del definition["final_outputs"]["alias_lost"]
- placed = worker._place_products(run_id, video, WorkflowDefinition.from_dict(definition))
- assert placed == ["a.CN.srt", "a.CN_dual_eye.ass", "a.other.20260902120000.txt"]
- # srt/ass 被改名为标准名且覆盖旧文件；txt 保留原名。
- assert target_srt.read_text(encoding="utf-8") == "1\n00:00:00,000 --> 00:00:01,000\n新中文字幕\n"
- assert target_ass.read_text(encoding="utf-8") == "[Script Info]\n新双目字幕\n"
- assert (video.parent / "a.other.20260902120000.txt").read_text(encoding="utf-8") == "其余产物内容"
- # alias_none（无记录）与 alias_lost（文件丢失）未放置。
- assert not (video.parent / "lost.srt").exists()
-def test_batch_worker_job_validation_failures(tmp_path) -> None:
- """文件夹缺失/工作流未发布/无版本时任务置为 FAILED 并记录错误。"""
- db = _db(tmp_path)
- now = _now_iso()
-
- def add_job(job_id, folder, workflow_id="echo-app"):
- db.create_batch_job(
- {
- "id": job_id, "folder_path": folder, "workflow_id": workflow_id,
- "recursive": 1, "status": "QUEUED", "progress": 0, "total": 0,
- "done": 0, "failed": 0, "error": None,
- "created_at": now, "updated_at": now,
- }
- )
-
- worker = BatchWorker(db, interval_seconds=0.05)
- add_job("job_nofolder", str(tmp_path / "missing"))
- worker._process_job(db.get_batch_job("job_nofolder"))
- assert db.get_batch_job("job_nofolder")["status"] == "FAILED"
- assert "folder not found" in db.get_batch_job("job_nofolder")["error"]
-
- folder = _video_folder(tmp_path)
- _seed_echo_workflow(db, published=False)
- add_job("job_unpublished", str(folder))
- worker._process_job(db.get_batch_job("job_unpublished"))
- assert db.get_batch_job("job_unpublished")["status"] == "FAILED"
- assert "not found or unpublished" in db.get_batch_job("job_unpublished")["error"]
-
- # 已发布但没有任何版本。
- _seed_echo_workflow(db, published=True)
- db.delete_workflow("echo-app")
- db.upsert_workflow({"id": "echo-app", "name": "E", "description": "", "published": 1, "latest_version": 0})
- add_job("job_noversion", str(folder))
- worker._process_job(db.get_batch_job("job_noversion"))
- assert db.get_batch_job("job_noversion")["status"] == "FAILED"
- assert "has no version" in db.get_batch_job("job_noversion")["error"]
-
-
-def test_batch_worker_catches_unexpected_job_error(tmp_path) -> None:
- """任务级兜底：DAG 解析失败（缺 name）时任务 FAILED 而不是卡死在 RUNNING。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4",))
- # 覆盖为缺失 name 的非法定义：from_dict 抛 KeyError。
- bad_definition = {"version": 1, "nodes": [], "edges": []}
- db.create_workflow_version("echo-app", 2, bad_definition)
- db.upsert_workflow({"id": "echo-app", "name": "E", "description": "", "published": 1, "latest_version": 2})
- job = _make_job(db, folder)
- BatchWorker(db, interval_seconds=0.05)._process_job(job)
- assert db.get_batch_job(job["id"])["status"] == "FAILED"
- assert "name" in db.get_batch_job(job["id"])["error"]
-
-
-def test_batch_worker_cycle_fails_video_not_job(tmp_path) -> None:
- """DAG 环在执行期抛错：单个视频 FAILED 记录错误，批量任务继续并完成。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4",))
- # 覆盖为带环的定义：validate 通过、调度器拓扑排序时抛"contains a cycle"。
- cycle_definition = {
- "name": "bad",
- "version": 2,
- "nodes": [
- {"id": "x", "node_type": "echo", "inputs": {"file_uri": "y.file_uri"}},
- {"id": "y", "node_type": "echo", "inputs": {"file_uri": "x.file_uri"}},
- ],
- "edges": [{"from": "x", "to": "y"}, {"from": "y", "to": "x"}],
- "entry_inputs": {"video_uri": "file"},
- "final_outputs": {"result": "x.file_uri"},
- }
- db.create_workflow_version("echo-app", 2, cycle_definition)
- db.upsert_workflow({"id": "echo-app", "name": "E", "description": "", "published": 1, "latest_version": 2})
- job = _make_job(db, folder)
- BatchWorker(db, interval_seconds=0.05)._process_job(job)
- video = db.list_batch_videos(job["id"])[0]
- assert video["status"] == "FAILED"
- assert "cycle" in video["error"]
- assert db.get_batch_job(job["id"])["status"] == "COMPLETED"
- assert db.get_batch_job(job["id"])["failed"] == 1
-
-
-def test_batch_worker_loop_processes_and_survives_exceptions(tmp_path, monkeypatch) -> None:
- """轮询线程：处理排队任务；轮询异常不杀死线程；重复启动/幽灵任务无害。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4",))
- job = _make_job(db, folder)
- # 不存在的任务 ID：_run_job 直接返回，不报错。
- BatchWorker(db, interval_seconds=0.05)._process_job({"id": "ghost_job"})
- # 第一次轮询抛异常（模拟数据库抖动），后续正常。
- calls = {"n": 0}
- real_next = db.next_queued_batch_job
-
- def flaky_next():
- calls["n"] += 1
- if calls["n"] == 1:
- raise RuntimeError("transient error")
- return real_next()
-
- monkeypatch.setattr(db, "next_queued_batch_job", flaky_next)
- worker = BatchWorker(db, interval_seconds=0.05)
- worker.start()
- # 重复启动无副作用：线程已存在时直接返回。
- worker.start()
- try:
- deadline = time.monotonic() + 10
- while time.monotonic() < deadline:
- if db.get_batch_job(job["id"])["status"] in {"COMPLETED", "FAILED"}:
- break
- time.sleep(0.1)
- finally:
- worker.stop()
- assert db.get_batch_job(job["id"])["status"] == "COMPLETED"
-
-
-def test_batch_worker_pause_job_writes_flag_and_pauses_run(tmp_path) -> None:
- """pause_job：任务置 PAUSED、排队/运行中的 run 暂停并写 paused.flag。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4", "c.mp4"))
- job = _make_job(db, folder)
- videos = {Path(v["video_path"]).stem: v for v in db.list_batch_videos(job["id"])}
-
- # a：QUEUED 运行（应被暂停并写 flag）；b：run 记录不存在；c：已完成的 run。
- _create_run(db, "run_pause_me", folder, status="QUEUED", name="a")
- _create_run(db, "run_done_c", folder, status="COMPLETED", name="c")
- db.update_batch_video(videos["a"]["id"], run_id="run_pause_me", updated_at=_now_iso())
- db.update_batch_video(videos["b"]["id"], run_id="run_ghost", updated_at=_now_iso())
- db.update_batch_video(videos["c"]["id"], run_id="run_done_c", updated_at=_now_iso())
-
- worker = BatchWorker(db, interval_seconds=0.05)
- worker.pause_job(job["id"])
- assert db.get_batch_job(job["id"])["status"] == "PAUSED"
- assert db.get_run("run_pause_me")["status"] == "PAUSED"
- work_dir_a = Path(videos["a"]["work_dir"])
- assert (work_dir_a / "runs" / "run_pause_me" / PAUSE_FLAG).is_file()
- # b 的 run 不存在、c 的 run 已完成：都被跳过，不写 flag。
- assert not (Path(videos["b"]["work_dir"]) / "runs" / "run_ghost" / PAUSE_FLAG).exists()
- assert not (Path(videos["c"]["work_dir"]) / "runs" / "run_done_c" / PAUSE_FLAG).exists()
-
- # 继续：任务回到 QUEUED，由引擎从断点续跑。
- worker.resume_job(job["id"])
- assert db.get_batch_job(job["id"])["status"] == "QUEUED"
-
-
-
-def test_batch_progress_sync_recounts_done_failed(tmp_path) -> None:
- """sync_batch_job_progress 按明细实时重算 done(=完成+跳过) 与 failed。
-
- 回归：此前 batch_jobs.done 只在任务收尾一次性汇总，处理中途（尤其暂停）
- 恒为 0——前端显示 0/431 0%，与实际已处理数量严重不符（真实任务
- batch_fee668175444 已处理 15 个仍显示 0/431）。本测试要求无论任务处于
- 哪种状态，汇总字段都与明细实时一致。
- """
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4", "c.mp4", "d.mp4"))
- job = _make_job(db, folder)
- job_id = job["id"]
- videos = {Path(v["video_path"]).stem: v for v in db.list_batch_videos(job_id)}
-
- # 手工构造典型中途态：a 已完成、b 处理中被暂停、c 失败、d 仍排队。
- db.update_batch_video(videos["a"]["id"], status="COMPLETED", updated_at=_now_iso())
- db.update_batch_video(videos["b"]["id"], status="PAUSED", updated_at=_now_iso())
- db.update_batch_video(videos["c"]["id"], status="FAILED", error="boom", updated_at=_now_iso())
- # 任务保持 PAUSED（引擎在视频间停下时的真实状态）。
- db.update_batch_job(job_id, status="PAUSED", updated_at=_now_iso())
-
- db.sync_batch_job_progress(job_id)
- synced = db.get_batch_job(job_id)
- # done 计入已完成 + 已跳过（与收尾口径一致）；失败单独计；进行中不计。
- assert synced["done"] == 1
- assert synced["failed"] == 1
-
- # 幂等：重复对齐结果不变（引擎在多个边界可能重复调用）。
- db.sync_batch_job_progress(job_id)
- assert db.get_batch_job(job_id)["done"] == 1
-
-
-def test_batch_progress_sync_counts_skipped(tmp_path) -> None:
- """SKIPPED 视频不计入 total 也不计入 done（它不需要本批处理）。
-
- 新口径（2026-09）：进度只反映"本批无字幕待处理"的视频。
- """
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4",))
- job = _make_job(db, folder)
- # 把 a 改为 SKIPPED（等同创建时旁挂字幕被跳过的语义）。
- db.update_batch_video(db.list_batch_videos(job["id"])[0]["id"], status="SKIPPED", updated_at=_now_iso())
- db.sync_batch_job_progress(job["id"])
- job = db.get_batch_job(job["id"])
- assert job["done"] == 0
- assert job["total"] == 0
-
-
-def test_batch_progress_sync_returns_refreshed_job(tmp_path) -> None:
- """refresh_batch_job 返回对齐后的最新任务记录（供 router 读取侧使用）。"""
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- job = _make_job(db, folder)
- job_id = job["id"]
- db.update_batch_video(db.list_batch_videos(job_id)[0]["id"], status="COMPLETED", updated_at=_now_iso())
- refreshed = db.refresh_batch_job(job_id)
- assert refreshed is not None
- assert refreshed["done"] == 1
- # 幽灵任务：返回 None，不报错。
- assert db.refresh_batch_job("batch_ghost") is None
-
-
-def test_batch_worker_paused_job_reports_real_done(tmp_path, monkeypatch) -> None:
- """引擎在视频之间暂停后，job 汇总实时反映已完成数量（不等任务收尾）。
-
- 回归：真实任务 batch_fee668175444 手动暂停后前端仍显示 0/431 0%，
- 因为 done 只在任务整体 COMPLETED 时汇总一次。修复后引擎每次停下都要
- 用明细实时对齐 done/failed，暂停中前端即可看到真实进度。
- """
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- job = _make_job(db, folder)
- job_id = job["id"]
- from wov_app.scheduler import WorkflowScheduler
-
- class _PauseAfterFirstScheduler:
- """真实执行第一个视频后把批量任务置为 PAUSED（模拟用户处理中暂停）。"""
-
- def __init__(self, db: Database, work_dir: Path) -> None:
- self.db = db
- self.work_dir = work_dir
-
- def execute_run(self, run_id: str) -> None:
- WorkflowScheduler(self.db, self.work_dir).execute_run(run_id)
- self.db.update_batch_job(job_id, status="PAUSED", updated_at=_now_iso())
-
- monkeypatch.setattr("wov_app.batch.WorkflowScheduler", _PauseAfterFirstScheduler)
- BatchWorker(db, interval_seconds=0.05)._process_job(db.get_batch_job(job_id))
-
- videos = {Path(v["video_path"]).name: v for v in db.list_batch_videos(job_id)}
- assert videos["a.mp4"]["status"] == "COMPLETED"
- assert db.get_batch_job(job_id)["status"] == "PAUSED"
- # 关键断言：暂停瞬间 done 已是 1（a 完成），而不是停留在创建时的 0。
- assert db.get_batch_job(job_id)["done"] == 1
-
-
-def test_batch_worker_skipped_continue_syncs_done(tmp_path) -> None:
- """循环里遇到 SKIPPED/COMPLETED 的 continue 分支不把它们计入 done。
-
- 新口径：total=无字幕视频数（本例 a 有字幕 SKIPPED → total=1 即 b），
- done 只计实际完成（b=COMPLETED → done=1）。SKIPPED 不占分母也不占分子。
- """
- db = _db(tmp_path)
- _seed_echo_workflow(db)
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- (folder / "a.CN.srt").write_text("x", encoding="utf-8") # a 创建即 SKIPPED
- job = _make_job(db, folder)
- job_id = job["id"]
- # 创建即固定：total=无字幕数（仅 b=1）。
- assert db.get_batch_job(job_id)["total"] == 1
- # b 手工置为 COMPLETED（模拟此前已完成）；a 在循环里走 continue 分支。
- db.update_batch_video(
- [v for v in db.list_batch_videos(job_id) if v["video_path"].endswith("b.mp4")][0]["id"],
- status="COMPLETED", updated_at=_now_iso(),
- )
- db.update_batch_job(job_id, status="PAUSED", updated_at=_now_iso())
- BatchWorker(db, interval_seconds=0.05)._run_job(job_id)
- job = db.get_batch_job(job_id)
- # done 只计实际完成的 b（1），SKIPPED 的 a 不计；total 保持 1。
- assert job["done"] == 1 and job["total"] == 1
-
-def test_batch_worker_ghost_job_id_returns(tmp_path) -> None:
- """_run_job 在任务不存在时直接返回（幽灵任务处理无副作用）。"""
- db = _db(tmp_path)
- BatchWorker(db, interval_seconds=0.05)._run_job("batch_ghost")
-
-
-# ---------------------------------------------------------------------------
-# 批量 API
-# ---------------------------------------------------------------------------
-
-
-def _client_with_echo_workflow(tmp_path):
- """返回 TestClient 与包含真实视频文件的文件夹（echo 工作流已发布）。"""
- folder = _video_folder(tmp_path, names=("a.mp4", "b.mp4"))
- client = TestClient(app)
- client.__enter__()
- client.post(
- "/api/admin/workflows",
- json={
- "id": "echo-app",
- "name": "Echo App",
- "description": "batch test",
- "definition": {
- "name": "echo-flow",
- "version": 1,
- "nodes": [
- {"id": "step", "node_type": "echo", "inputs": {"file_uri": "input.video_uri"}}
- ],
- "edges": [],
- "entry_inputs": {"video_uri": "file"},
- "final_outputs": {"result": "step.file_uri"},
- },
- },
- )
- client.post("/api/admin/workflows/echo-app/publish")
- return client, folder
-
-
-def test_batch_api_create_list_detail(tmp_path) -> None:
- """批量 API：创建任务、列表、详情（含 SKIPPED 状态与视频旁产物清单）。"""
- client, folder = _client_with_echo_workflow(tmp_path)
- try:
- # a 视频旁已有字幕（创建即 SKIPPED），b 待处理。
- (folder / "a.CN_dual_eye.ass").write_text("已有字幕", encoding="utf-8")
- response = client.post(
- "/api/batch/jobs",
- json={"folder": str(folder), "workflow_id": "echo-app", "recursive": True},
- )
- assert response.status_code == 200
- job = response.json()
- assert job["status"] == "QUEUED"
- by_name = {Path(v["video_path"]).name: v for v in job["videos"]}
- assert by_name["a.mp4"]["status"] == "SKIPPED"
- assert by_name["a.mp4"]["finals"] == {"a.CN_dual_eye.ass": "a.CN_dual_eye.ass"}
- assert by_name["b.mp4"]["status"] == "PENDING"
- assert by_name["b.mp4"]["finals"] == {}
-
- listed = client.get("/api/batch/jobs").json()
- assert any(item["id"] == job["id"] for item in listed)
-
- detail = client.get(f"/api/batch/jobs/{job['id']}").json()
- assert detail["workflow_id"] == "echo-app"
- assert len(detail["videos"]) == 2
- # 新口径：total = 无字幕需处理数（b 一个），SKIPPED 的 a 不占分母。
- assert detail["total"] == 1 and detail["done"] == 0
-
- missing = client.get("/api/batch/jobs/ghost")
- assert missing.status_code == 404
- finally:
- client.__exit__(None, None, None)
-
-
-
-
-def test_batch_api_all_skipped_created_completed(tmp_path) -> None:
- """全部视频已有字幕时，创建响应直接为 COMPLETED，total=0。"""
- client, folder = _client_with_echo_workflow(tmp_path)
- try:
- # 两个视频都已有旁挂字幕 → 无任何无字幕项。
- (folder / "a.CN.srt").write_text("x", encoding="utf-8")
- (folder / "b.CN_dual_eye.ass").write_text("x", encoding="utf-8")
- job = client.post(
- "/api/batch/jobs",
- json={"folder": str(folder), "workflow_id": "echo-app"},
- ).json()
- assert job["status"] == "COMPLETED"
- assert job["total"] == 0 and job["done"] == 0
- assert all(v["status"] == "SKIPPED" for v in job["videos"])
- finally:
- client.__exit__(None, None, None)
-def test_batch_api_creation_errors(tmp_path) -> None:
- """批量 API 拒绝：文件夹不存在、无视频、未发布工作流。"""
- client, folder = _client_with_echo_workflow(tmp_path)
- try:
- bad_folder = client.post(
- "/api/batch/jobs",
- json={"folder": str(tmp_path / "missing"), "workflow_id": "echo-app"},
- )
- assert bad_folder.status_code == 422
- empty = tmp_path / "empty"
- empty.mkdir()
- no_videos = client.post(
- "/api/batch/jobs",
- json={"folder": str(empty), "workflow_id": "echo-app"},
- )
- assert no_videos.status_code == 422
- not_published = client.post(
- "/api/batch/jobs",
- json={"folder": str(folder), "workflow_id": "ghost"},
- )
- assert not_published.status_code == 422
- finally:
- client.__exit__(None, None, None)
-
-
-def test_batch_api_list_detail_syncs_real_progress(tmp_path) -> None:
- """列表/详情读取前自动对齐 done/failed：暂停中的任务也显示真实进度。
-
- 回归：服务运行中任务被暂停（batch_fee668175444），前端轮询列表看到
- 0/431 0%——因为 done 只在收尾时汇总、暂停后无人再写。读取侧兜底对齐
- 保证前端拿到明细真实状态，即使引擎不在运行（进程被杀/暂停中）。
- """
- client, folder = _client_with_echo_workflow(tmp_path)
- try:
- job = client.post(
- "/api/batch/jobs",
- json={"folder": str(folder), "workflow_id": "echo-app"},
- ).json()
- job_id = job["id"]
- db = app.state.db
-
- # 模拟暂停中已处理 1 个（COMPLETED）+ 1 个失败：明细变了，但 job.done 仍是 0。
- videos = db.list_batch_videos(job_id)
- db.update_batch_video(videos[0]["id"], status="COMPLETED", updated_at=_now_iso())
- db.update_batch_video(videos[1]["id"], status="FAILED", error="x", updated_at=_now_iso())
- db.update_batch_job(job_id, status="PAUSED", updated_at=_now_iso())
- assert db.get_batch_job(job_id)["done"] == 0 # 修复前：旧值
-
- # 读取详情：返回的 job 已完成实时对齐。
- detail = client.get(f"/api/batch/jobs/{job_id}").json()
- assert detail["done"] == 1 and detail["failed"] == 1
- # 数据库里的汇总也一并修正（读取副作用：后续列表/引擎都看到正确值）。
- assert db.get_batch_job(job_id)["done"] == 1
-
- # 列表接口同样实时对齐。
- listed = client.get("/api/batch/jobs").json()
- mine = next(item for item in listed if item["id"] == job_id)
- assert mine["done"] == 1 and mine["failed"] == 1
- finally:
- client.__exit__(None, None, None)
-
-
-def test_batch_api_pause_resume_delete(tmp_path) -> None:
- """批量 API：暂停/继续切换任务状态，删除清理 DB 记录与私有工作空间。"""
- client, folder = _client_with_echo_workflow(tmp_path)
- try:
- job = client.post(
- "/api/batch/jobs",
- json={"folder": str(folder), "workflow_id": "echo-app"},
- ).json()
-
- paused = client.post(f"/api/batch/jobs/{job['id']}/pause")
- assert paused.status_code == 200
- assert client.get(f"/api/batch/jobs/{job['id']}").json()["status"] == "PAUSED"
-
- resumed = client.post(f"/api/batch/jobs/{job['id']}/resume")
- assert resumed.status_code == 200
- assert client.get(f"/api/batch/jobs/{job['id']}").json()["status"] == "QUEUED"
-
- # 给第一个视频挂一个 run，验证删除任务时级联删除 run 记录。
- db = app.state.db
- video = job["videos"][0]
- _create_run(db, "run_del", folder, name=Path(video["video_path"]).stem)
- db.update_batch_video(video["id"], run_id="run_del", updated_at=_now_iso())
- assert db.get_run("run_del") is not None
- # 模拟任务遗留的私有工作空间：删除任务时一并清理。
- workspace = BATCH_WORK_ROOT / job["id"]
- (workspace / "runs" / "run_del").mkdir(parents=True)
- (workspace / "runs" / "run_del" / "paused.flag").write_text("", encoding="utf-8")
-
- deleted = client.delete(f"/api/batch/jobs/{job['id']}")
- assert deleted.status_code == 200
- assert client.get(f"/api/batch/jobs/{job['id']}").status_code == 404
- assert db.get_run("run_del") is None
- assert not workspace.exists()
-
- assert client.post("/api/batch/jobs/ghost/pause").status_code == 404
- assert client.post("/api/batch/jobs/ghost/resume").status_code == 404
- assert client.delete("/api/batch/jobs/ghost").status_code == 404
- finally:
- client.__exit__(None, None, None)
-
-
-def test_batch_api_worker_unavailable(tmp_path, monkeypatch) -> None:
- """批量引擎不可用时，暂停/继续接口返回 503。"""
- client, folder = _client_with_echo_workflow(tmp_path)
- try:
- job = client.post(
- "/api/batch/jobs",
- json={"folder": str(folder), "workflow_id": "echo-app"},
- ).json()
- monkeypatch.setattr("wov_app.routers.batch._get_worker", lambda: None)
- assert client.post(f"/api/batch/jobs/{job['id']}/pause").status_code == 503
- assert client.post(f"/api/batch/jobs/{job['id']}/resume").status_code == 503
- finally:
- client.__exit__(None, None, None)
-
-
-def test_batch_api_download_sidecar_subtitle(tmp_path) -> None:
- """批量 API：下载视频旁的字幕文件，缺失别名/文件返回 404。"""
- client, folder = _client_with_echo_workflow(tmp_path)
- try:
- (folder / "a.CN_dual_eye.ass").write_text("已有字幕内容", encoding="utf-8")
- job = client.post(
- "/api/batch/jobs",
- json={"folder": str(folder), "workflow_id": "echo-app"},
- ).json()
- video = next(v for v in job["videos"] if Path(v["video_path"]).name == "a.mp4")
-
- ok = client.get(f"/api/batch/jobs/{job['id']}/videos/{video['id']}/download?alias=a.CN_dual_eye.ass")
- assert ok.status_code == 200
- assert ok.content == "已有字幕内容".encode("utf-8")
-
- bad_alias = client.get(f"/api/batch/jobs/{job['id']}/videos/{video['id']}/download?alias=nope")
- assert bad_alias.status_code == 404
- bad_video = client.get(f"/api/batch/jobs/{job['id']}/videos/bv_ghost/download?alias=a.CN_dual_eye.ass")
- assert bad_video.status_code == 404
- finally:
- client.__exit__(None, None, None)
-
-
-def test_batch_api_download_sidecar_file_missing(tmp_path, monkeypatch) -> None:
- """下载时旁挂字幕文件已被外部移除（列表与下载之间的竞态）→ 404。"""
- client, folder = _client_with_echo_workflow(tmp_path)
- try:
- (folder / "a.srt").write_text("x", encoding="utf-8")
- job = client.post(
- "/api/batch/jobs",
- json={"folder": str(folder), "workflow_id": "echo-app"},
- ).json()
- video = next(v for v in job["videos"] if Path(v["video_path"]).name == "a.mp4")
-
- # 模拟列表后文件被删：让旁挂字幕扫描返回一个磁盘上已不存在的路径。
- gone = folder / "a.srt"
- gone.unlink()
- monkeypatch.setattr(batch_engine, "list_sidecar_subtitles", lambda video_path: [gone])
- missing = client.get(f"/api/batch/jobs/{job['id']}/videos/{video['id']}/download?alias=a.srt")
- assert missing.status_code == 404
- assert "file missing" in missing.json()["detail"]
- finally:
- client.__exit__(None, None, None)
-
-
-def test_batch_api_download_legacy_marker(tmp_path) -> None:
- """批量 API：旧版完成标记（batch.done.json）里的语义别名仍可下载。"""
- client, folder = _client_with_echo_workflow(tmp_path)
- try:
- job = client.post(
- "/api/batch/jobs",
- json={"folder": str(folder), "workflow_id": "echo-app"},
- ).json()
- db = app.state.db
- video = job["videos"][0]
- # 旧版布局：work_dir 是视频的同名文件夹，里面写 batch.done.json + 产物。
- work = Path(video["work_dir"])
- work.mkdir(parents=True)
- marker = {"workflow_id": "echo-app", "workflow_version": 1, "run_id": "run_old", "finals": {"result": "a.result.20260819000000.txt"}}
- (work / MARKER_NAME).write_text(json.dumps(marker), encoding="utf-8")
- (work / "a.result.20260819000000.txt").write_text("下载内容", encoding="utf-8")
-
- # 详情页产物清单合并旧版完成标记里的语义别名。
- detail = client.get(f"/api/batch/jobs/{job['id']}").json()
- video_detail = next(v for v in detail["videos"] if v["id"] == video["id"])
- assert video_detail["finals"]["result"] == "a.result.20260819000000.txt"
-
- ok = client.get(f"/api/batch/jobs/{job['id']}/videos/{video['id']}/download?alias=result")
- assert ok.status_code == 200
- assert ok.content == "下载内容".encode("utf-8")
- # 标记里别名对应的产物文件缺失 → 404（不会落到旁挂字幕解析）。
- (work / "a.result.20260819000000.txt").unlink()
- gone = client.get(f"/api/batch/jobs/{job['id']}/videos/{video['id']}/download?alias=result")
- assert gone.status_code == 404
- finally:
- client.__exit__(None, None, None)
-
-
-def test_batch_api_roots(tmp_path, monkeypatch) -> None:
- """目录树选择器：返回可浏览根目录（含根/家目录与 Windows 盘符分支）。"""
- client, _folder = _client_with_echo_workflow(tmp_path)
- try:
- roots = client.get("/api/batch/roots").json()
- assert isinstance(roots, list) and len(roots) >= 1
- # POSIX 必有 /；Windows 必有盘符；两者都有家目录。
- assert any(item["path"] in ("/", str(Path.home())) for item in roots)
- assert all(item["name"] for item in roots)
-
- # Windows 分支：模拟 os.name=nt，存在盘符时返回该驱动器。
- import os
-
- real_exists = Path.exists
-
- def fake_exists(path):
- # 盘符形式（如 C:\）视为存在，其余走真实判断。
- return str(path).endswith(":\\") or real_exists(path)
-
- monkeypatch.setattr(os, "name", "nt")
- monkeypatch.setattr(Path, "exists", fake_exists)
- nt_roots = client.get("/api/batch/roots").json()
- assert any(str(item["path"]).endswith(":\\") for item in nt_roots)
- finally:
- client.__exit__(None, None, None)
-
-
-def test_batch_api_dirs(tmp_path, monkeypatch) -> None:
- """目录树选择器：列出子目录、隐藏目录过滤、不存在/不可读返回空。"""
- client, _folder = _client_with_echo_workflow(tmp_path)
- try:
- # 真实目录结构：普通子目录、隐藏目录、文件。
- target = tmp_path / "media"
- (target / "movies").mkdir(parents=True)
- (target / "series").mkdir(parents=True)
- (target / ".hidden").mkdir(parents=True)
- (target / "note.txt").write_text("x", encoding="utf-8")
-
- data = client.get(f"/api/batch/dirs?path={target}").json()
- assert [item["name"] for item in data["dirs"]] == ["movies", "series"]
- assert data["path"] == str(target)
-
- # 路径指向文件 → 空列表。
- file_data = client.get(f"/api/batch/dirs?path={target / 'note.txt'}").json()
- assert file_data["dirs"] == []
- # 目录不存在 → 空列表。
- missing = client.get(f"/api/batch/dirs?path={tmp_path / 'ghost'}").json()
- assert missing["dirs"] == []
-
- from pathlib import Path as RealPath
-
- # 单个子项不可读（is_dir 抛 OSError）→ 跳过该项，其余目录正常返回。
- class _PoisonPath(RealPath):
- """is_dir 恒抛权限错误的子类，模拟不可读的子目录。"""
-
- def is_dir(self):
- raise OSError("denied")
-
- real_iterdir = RealPath.iterdir
-
- def mixed_iterdir(path):
- return list(real_iterdir(path)) + [_PoisonPath(str(tmp_path / "poison"))]
-
- monkeypatch.setattr(RealPath, "iterdir", mixed_iterdir)
- mixed = client.get(f"/api/batch/dirs?path={target}").json()
- assert [item["name"] for item in mixed["dirs"]] == ["movies", "series"]
-
- # 整个目录不可读（iterdir 抛 OSError）→ 空列表而不是 500。
- def deny(path):
- raise OSError("denied")
-
- monkeypatch.setattr(RealPath, "iterdir", deny)
- denied = client.get(f"/api/batch/dirs?path={target}").json()
- assert denied["dirs"] == []
- finally:
- client.__exit__(None, None, None)
-
-
-def test_main_starts_batch_worker_when_enabled(monkeypatch) -> None:
- """WOV_BATCH_ENABLED=1 时应用生命周期启动批量引擎后台线程（退出时回收）。"""
- monkeypatch.setenv("WOV_BATCH_ENABLED", "1")
- client = TestClient(app)
- with client:
- worker = app.state.batch
- assert worker is not None
- assert worker._thread is not None
- assert worker._thread.name == "wov-batch-worker"
- # 退出应用后批量引擎线程已停止，后续测试不会被后台线程打扰。
- assert worker._thread is None
-
-
-# STORAGE_DIR 引用仅供静态检查使用（ensure batch 根相对应用存储目录）。
-assert BATCH_WORK_ROOT == STORAGE_DIR / "batch"
diff --git a/tests/test_crop_js.js b/tests/test_crop_js.js
deleted file mode 100644
index b86e668..0000000
--- a/tests/test_crop_js.js
+++ /dev/null
@@ -1,32 +0,0 @@
-// crop 归一化纯函数单测：由 pytest 通过 node 执行（TDD 红阶段先失败）。
-"use strict";
-const assert = require("assert");
-const { videoDisplayRect, rectToCrop, cropToRect } = require("../web/assets/crop.js");
-
-// 1) 无留边（容器比例与视频一致）：底部 20% 矩形 → crop [0, 0.8, 1, 0.2]
-let d = videoDisplayRect(1280, 720, 1280, 720);
-assert.deepStrictEqual(d, { x: 0, y: 0, w: 1280, h: 720 });
-assert.deepStrictEqual(
- rectToCrop({ x: 0, y: 576, w: 1280, h: 144 }, 1280, 720, 1280, 720),
- [0, 0.8, 1, 0.2]
-);
-
-// 2) letterbox（容器比视频宽）：视频显示在中间，矩形映射要考虑左右留边
-d = videoDisplayRect(1280, 720, 1600, 720);
-assert.deepStrictEqual(d, { x: 160, y: 0, w: 1280, h: 720 });
-// 在渲染视频内框选右下 25% 区域
-let crop = rectToCrop({ x: 160 + 640, y: 360, w: 640, h: 360 }, 1280, 720, 1600, 720);
-assert.deepStrictEqual(crop, [0.5, 0.5, 0.5, 0.5]);
-
-// 3) 回显一致性：crop → rect → crop 应还原（含 letterbox）
-let back = cropToRect(crop, 1280, 720, 1600, 720);
-assert.deepStrictEqual(
- rectToCrop(back, 1280, 720, 1600, 720),
- crop
-);
-
-// 4) 越界钳制：矩形超出画面时 crop 值被限制在 0~1
-crop = rectToCrop({ x: -100, y: -50, w: 2000, h: 900 }, 1280, 720, 1280, 720);
-assert.ok(crop.every((v) => v >= 0 && v <= 1));
-
-console.log("crop.js 全部断言通过");
diff --git a/tests/test_db.py b/tests/test_db.py
deleted file mode 100644
index 44cdf2a..0000000
--- a/tests/test_db.py
+++ /dev/null
@@ -1,464 +0,0 @@
-"""数据库层单元测试。
-
-直接对 Database 方法调用真实 SQLite 路径，覆盖工作流、版本、任务与产物的
-增删改查。节点注册表已改为进程内内存态，不再落库。
-"""
-
-from pathlib import Path
-
-from wov_app.db import Database
-
-
-def test_workflow_crud(tmp_path) -> None:
- """验证工作流概要的插入、发布标记更新与删除。"""
- db = Database(tmp_path / "wov.db")
- workflow = {
- "id": "demo",
- "name": "Demo",
- "description": "desc",
- "published": 0,
- "latest_version": 0,
- }
- db.upsert_workflow(workflow)
- assert db.get_workflow("demo")["name"] == "Demo"
- assert [item["id"] for item in db.list_workflows()] == ["demo"]
-
- db.upsert_workflow({**workflow, "published": 1, "latest_version": 1})
- assert db.get_workflow("demo")["published"] == 1
-
- db.delete_workflow("demo")
- assert db.get_workflow("demo") is None
-
-
-def test_workflow_versions(tmp_path) -> None:
- """验证工作流版本的写入、最新版本查询与列表。"""
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow(
- {"id": "demo", "name": "Demo", "published": 1, "latest_version": 2}
- )
- definition = {"name": "Demo", "version": 1, "nodes": [], "edges": []}
- db.create_workflow_version("demo", 1, definition)
- db.create_workflow_version("demo", 2, {**definition, "version": 2})
-
- latest = db.get_latest_workflow_version("demo")
- assert latest["version"] == 2
- assert latest["definition"]["version"] == 2
-
- version = db.get_workflow_version("demo", 1)
- assert version["version"] == 1
- assert db.get_workflow_version("demo", 99) is None
- assert len(db.list_workflow_versions("demo")) == 2
-
- empty_db = Database(tmp_path / "empty.db")
- assert empty_db.get_latest_workflow_version("missing") is None
-
-
-def test_run_and_artifact_crud(tmp_path) -> None:
- """验证任务与产物的创建、查询、更新与删除。"""
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow({"id": "demo", "name": "Demo", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_1",
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": "in.txt",
- "created_at": now,
- "updated_at": now,
- }
- )
- assert db.get_run("run_1")["status"] == "QUEUED"
- assert db.next_queued_run()["id"] == "run_1"
-
- db.update_run("run_1", status="RUNNING", progress=0.5, updated_at=now)
- db.update_run("run_1")
- assert db.get_run("run_1")["status"] == "RUNNING"
- assert db.get_run("run_1")["progress"] == 0.5
- assert db.next_queued_run() is None
- assert len(db.list_runs()) == 1
-
- db.create_artifact(
- {
- "run_id": "run_1",
- "node_id": "echo",
- "name": "result",
- "uri": "out.txt",
- "mime_type": "text/plain",
- "size": 3,
- }
- )
- assert db.get_artifact("run_1", "result")["uri"] == "out.txt"
- assert db.get_artifact("run_1", "missing") is None
- assert len(db.list_artifacts("run_1")) == 1
-
- db.delete_run_artifacts("run_1")
- assert db.list_artifacts("run_1") == []
-
-
-def test_reset_run_clears_error_and_artifacts(tmp_path) -> None:
- """验证 reset_run 会把失败任务恢复到排队状态并清空旧产物。"""
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow({"id": "demo", "name": "Demo", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_1",
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": "FAILED",
- "progress": 0.75,
- "current_node_id": "translate",
- "error": "timed out",
- "input_uri": "in.txt",
- "created_at": now,
- "updated_at": now,
- }
- )
- db.create_artifact(
- {
- "run_id": "run_1",
- "node_id": "asr",
- "name": "asr.srt_uri",
- "uri": "out.srt",
- "mime_type": "application/x-subrip",
- "size": 3,
- }
- )
-
- db.reset_run("run_1", "2026-01-02T00:00:00+00:00")
-
- run = db.get_run("run_1")
- assert run["status"] == "QUEUED"
- assert run["progress"] == 0
- assert run["current_node_id"] is None
- assert run["error"] is None
- assert run["updated_at"] == "2026-01-02T00:00:00+00:00"
- assert run["created_at"] == now
- assert db.list_artifacts("run_1") == []
-
-
-def test_delete_run(tmp_path) -> None:
- """验证 delete_run 会删除任务记录及其产物记录。"""
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow({"id": "demo", "name": "Demo", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_1",
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": "COMPLETED",
- "progress": 1,
- "input_uri": "in.txt",
- "created_at": now,
- "updated_at": now,
- }
- )
- db.create_artifact(
- {
- "run_id": "run_1",
- "node_id": "asr",
- "name": "asr.srt_uri",
- "uri": "out.srt",
- "mime_type": "application/x-subrip",
- "size": 3,
- }
- )
- db.delete_run("run_1")
- assert db.get_run("run_1") is None
- assert db.list_artifacts("run_1") == []
-
-
-def test_list_run_ids(tmp_path) -> None:
- """验证 list_run_ids 返回全部任务 ID，供孤儿清理对照使用。"""
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow({"id": "demo", "name": "Demo", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- assert db.list_run_ids() == []
- for run_id in ("run_a", "run_b"):
- db.create_run(
- {
- "id": run_id,
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "created_at": now,
- "updated_at": now,
- }
- )
- assert set(db.list_run_ids()) == {"run_a", "run_b"}
-
-
-def test_run_param_overrides_persist(tmp_path) -> None:
- """验证 param_overrides 随任务持久化并可读回。"""
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow({"id": "demo", "name": "D", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_ov",
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "param_overrides": {"extract": {"crop": [0, 0.5, 1, 0.5]}},
- "created_at": now,
- "updated_at": now,
- }
- )
- run = db.get_run("run_ov")
- assert run["param_overrides"] == {"extract": {"crop": [0, 0.5, 1, 0.5]}}
- assert db.next_queued_run()["param_overrides"] == {"extract": {"crop": [0, 0.5, 1, 0.5]}}
-
-
-def test_db_migration_adds_param_overrides(tmp_path) -> None:
- """旧库迁移：缺少 param_overrides 列的库打开后自动补列。"""
- import sqlite3
-
- db_path = tmp_path / "old.db"
- conn = sqlite3.connect(db_path)
- conn.execute(
- "CREATE TABLE workflow_runs (id TEXT PRIMARY KEY, workflow_id TEXT NOT NULL,"
- " workflow_version INTEGER NOT NULL, status TEXT NOT NULL, current_node_id TEXT,"
- " progress REAL NOT NULL DEFAULT 0, error TEXT, input_uri TEXT,"
- " created_at TEXT NOT NULL, updated_at TEXT NOT NULL)"
- )
- conn.commit()
- conn.close()
-
- Database(db_path)
- conn = sqlite3.connect(db_path)
- columns = [row[1] for row in conn.execute("PRAGMA table_info(workflow_runs)")]
- conn.close()
- assert "param_overrides" in columns
-
-
-def test_pause_resume_run(tmp_path) -> None:
- """验证 pause_run/resume_run 的状态流转与 PAUSED 任务不被调度器自动拾起。
-
- 修复回归：PAUSED 任务若被 next_queued_run 取到，execute_run 会把它复活为
- RUNNING 继续执行——"点击暂停反而开始任务"。暂停必须由用户显式 resume
- （PAUSED → QUEUED）后调度器才重新执行。
- """
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow({"id": "demo", "name": "Demo", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_p",
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "created_at": now,
- "updated_at": now,
- }
- )
- db.pause_run("run_p", now)
- assert db.get_run("run_p")["status"] == "PAUSED"
- # 已暂停的任务不会被调度器拾起（等待用户显式 resume）。
- assert db.next_queued_run() is None
- db.resume_run("run_p", now)
- assert db.get_run("run_p")["status"] == "QUEUED"
- assert db.next_queued_run()["id"] == "run_p"
-
-
-def test_recover_interrupted_runs(tmp_path) -> None:
- """重启恢复：遗留 RUNNING 任务恢复为 QUEUED（保留产物供断点续跑）。
-
- 进程被杀/重启时 RUNNING 任务不会自动收尾，若保持 RUNNING 将永久孤儿
- （next_queued_run 不拾起、暂停后又被 execute_run 复活）。恢复为 QUEUED
- 后调度器会从产物表断点续跑；用户主动暂停的 PAUSED 任务保持不变。
- """
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow({"id": "demo", "name": "Demo", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- for run_id, status in (("run_orphan", "RUNNING"), ("run_paused", "PAUSED"),
- ("run_done", "COMPLETED")):
- db.create_run(
- {
- "id": run_id,
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": status,
- "progress": 0.5,
- "created_at": now,
- "updated_at": now,
- }
- )
- recovered = db.recover_interrupted_runs("2026-01-02T00:00:00+00:00")
- assert recovered == 1 # 只有 RUNNING 被恢复。
- assert db.get_run("run_orphan")["status"] == "QUEUED"
- assert db.get_run("run_orphan")["updated_at"] == "2026-01-02T00:00:00+00:00"
- assert db.get_run("run_paused")["status"] == "PAUSED"
- assert db.get_run("run_done")["status"] == "COMPLETED"
- # 恢复后调度器可拾起并断点续跑。
- assert db.next_queued_run()["id"] == "run_orphan"
-
-def test_recover_interrupted_batch_jobs(tmp_path) -> None:
- """重启恢复：遗留 RUNNING 的批量任务恢复为 QUEUED，供引擎重新拾起。
-
- 批量引擎处理视频（尤其大文件）时进程被杀/重启，批量任务停在 RUNNING。
- 若保持 RUNNING，next_queued_batch_job 只拾取 QUEUED，任务永远不会被再次
- 驱动 → 未处理完的 PENDING 视频永久残留（batch_969fabe74b83 事故链路之一）。
- 恢复为 QUEUED 后引擎重新拾起续跑；PAUSED 批量任务保持不变等待显式 resume。
- """
- db = Database(tmp_path / "wov.db")
- now = "2026-01-01T00:00:00+00:00"
-
- def add_job(job_id: str, status: str) -> None:
- """创建指定状态的批量任务记录。"""
- db.create_batch_job(
- {
- "id": job_id, "folder_path": "/tmp/videos", "workflow_id": "demo",
- "recursive": 1, "status": status, "progress": 0.5, "total": 3,
- "done": 1, "failed": 0, "error": None,
- "created_at": now, "updated_at": now,
- }
- )
-
- add_job("job_orphan", "RUNNING")
- add_job("job_paused", "PAUSED")
- add_job("job_done", "COMPLETED")
- recovered = db.recover_interrupted_batch_jobs("2026-01-02T00:00:00+00:00")
- assert recovered == 1 # 只有 RUNNING 被恢复。
- assert db.get_batch_job("job_orphan")["status"] == "QUEUED"
- assert db.get_batch_job("job_paused")["status"] == "PAUSED"
- assert db.get_batch_job("job_done")["status"] == "COMPLETED"
- # 恢复后批量引擎可拾起并从断点续跑。
- assert db.next_queued_batch_job()["id"] == "job_orphan"
-
-def test_restore_run_outputs(tmp_path) -> None:
- """验证从产物重建节点输出（断点续跑的依据）。"""
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow({"id": "demo", "name": "Demo", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_r",
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": "PAUSED",
- "progress": 0,
- "created_at": now,
- "updated_at": now,
- }
- )
- db.create_artifact(
- {
- "run_id": "run_r",
- "node_id": "extract",
- "name": "frames_manifest",
- "uri": "frames.json",
- "mime_type": "application/json",
- "size": 1,
- }
- )
- assert db.restore_run_outputs("run_r") == {
- "extract": {"frames_manifest": "frames.json"}
- }
- assert db.restore_run_outputs("run_none") == {}
-
-
-def test_run_source_column_default_and_next_queued(tmp_path) -> None:
- """source 列默认 upload；主调度器不拾取 batch 来源的运行。"""
- db = Database(tmp_path / "wov.db")
- db.upsert_workflow({"id": "demo", "name": "Demo", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_upload",
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "created_at": now,
- "updated_at": now,
- }
- )
- db.create_run(
- {
- "id": "run_batch",
- "workflow_id": "demo",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "source": "batch",
- "created_at": now,
- "updated_at": now,
- }
- )
- # 默认 source 为 upload，可显式指定 batch。
- assert db.get_run("run_upload")["source"] == "upload"
- assert db.get_run("run_batch")["source"] == "batch"
- # 主调度器只取非 batch 运行，批量运行由批量引擎单独拾起。
- assert db.next_queued_run()["id"] == "run_upload"
-
-
-def test_db_migration_adds_source_column(tmp_path) -> None:
- """旧库迁移：缺少 source 列的库打开后自动补列并默认 upload。"""
- import sqlite3
-
- db_path = tmp_path / "old.db"
- conn = sqlite3.connect(db_path)
- conn.execute(
- "CREATE TABLE workflow_runs (id TEXT PRIMARY KEY, workflow_id TEXT NOT NULL,"
- " workflow_version INTEGER NOT NULL, status TEXT NOT NULL, current_node_id TEXT,"
- " progress REAL NOT NULL DEFAULT 0, error TEXT, input_uri TEXT,"
- " param_overrides TEXT, created_at TEXT NOT NULL, updated_at TEXT NOT NULL)"
- )
- conn.commit()
- conn.close()
-
- Database(db_path)
- conn = sqlite3.connect(db_path)
- columns = [row[1] for row in conn.execute("PRAGMA table_info(workflow_runs)")]
- conn.close()
- assert "source" in columns
-
-
-def test_batch_jobs_and_videos_crud(tmp_path) -> None:
- """批量任务/视频明细的增删改查与排队查询。"""
- db = Database(tmp_path / "wov.db")
- now = "2026-01-01T00:00:00+00:00"
- db.create_batch_job(
- {
- "id": "batch_1", "folder_path": "/videos", "workflow_id": "demo",
- "recursive": 1, "status": "QUEUED", "progress": 0, "total": 2,
- "done": 0, "failed": 0, "current_video": None, "error": None,
- "created_at": now, "updated_at": now,
- }
- )
- assert db.next_queued_batch_job()["id"] == "batch_1"
- assert db.list_batch_job_ids() == ["batch_1"]
- assert db.list_batch_jobs()[0]["total"] == 2
-
- db.create_batch_video(
- {
- "id": "bv_1", "job_id": "batch_1", "video_path": "/videos/a.mp4",
- "work_dir": "/videos/a", "run_id": None, "status": "PENDING",
- "error": None, "created_at": now, "updated_at": now,
- }
- )
- db.update_batch_video("bv_1", status="COMPLETED", updated_at=now)
- assert db.get_batch_video("bv_1")["status"] == "COMPLETED"
- assert len(db.list_batch_videos("batch_1")) == 1
-
- # 未知字段更新被忽略（不会报错也不会改状态）。
- db.update_batch_video("bv_1", bogus=1, updated_at=now)
- db.update_batch_job("batch_1", bogus=1, updated_at=now)
- assert db.get_batch_video("bv_1")["status"] == "COMPLETED"
-
- db.update_batch_job("batch_1", status="COMPLETED", done=1, failed=0, progress=1.0, updated_at=now)
- job = db.get_batch_job("batch_1")
- assert job["status"] == "COMPLETED" and job["done"] == 1
- # 完成后不再排队。
- assert db.next_queued_batch_job() is None
-
- db.delete_batch_job("batch_1")
- assert db.get_batch_job("batch_1") is None
- assert db.get_batch_video("bv_1") is None
diff --git a/tests/test_finalization.py b/tests/test_finalization.py
deleted file mode 100644
index 22d2f97..0000000
--- a/tests/test_finalization.py
+++ /dev/null
@@ -1,169 +0,0 @@
-"""产物收尾回归：真实 SQLite、字幕文件和 API 下载验证暂停及故障恢复。"""
-
-import shutil
-from pathlib import Path
-
-import pytest
-from fastapi.testclient import TestClient
-
-from wov_app.db import Database
-from wov_app.main import app
-from wov_app.scheduler import WorkflowScheduler
-from wov_sdk.models import WorkflowDefinition
-
-
-@pytest.fixture
-def subtitle(tmp_path):
- """复用真实字幕资产，不在测试中生成模型输出或占位媒体。"""
- source = Path(__file__).resolve().parent.parent / "testdata/ocr_srt_run_ac7f480a3ccb.srt"
- if not source.is_file():
- pytest.skip("缺少真实字幕资产")
- target = tmp_path / "original.srt"
- shutil.copy2(source, target)
- return target
-
-
-def _seed(db, source, finals):
- """登记已完成节点的真实产物，模拟节点执行结束后的断点。"""
- definition = {"name": "finalization", "version": 1,
- "nodes": [{"id": "step", "node_type": "echo"}],
- "final_outputs": finals}
- db.upsert_workflow({"id": "finalization", "name": "收尾回归"})
- db.create_workflow_version("finalization", 1, definition)
- db.create_run({"id": "run_finalization", "workflow_id": "finalization",
- "workflow_version": 1, "status": "QUEUED", "input_uri": str(source),
- "created_at": "2026-01-01T00:00:00+00:00", "updated_at": "2026-01-01T00:00:00+00:00"})
- db.create_artifact({"run_id": "run_finalization", "node_id": "step",
- "name": "step.file_uri", "uri": str(source)})
- return WorkflowDefinition.from_dict(definition)
-
-
-def test_pause_during_final_registration_keeps_downloads(subtitle, tmp_path, monkeypatch):
- """在第一个最终别名登记后暂停，再继续，两别名均可下载且 URI 不漂移。"""
- db = Database(tmp_path / "test.db")
- _seed(db, subtitle, {"result": "step.file_uri", "copy": "step.file_uri"})
- original = subtitle.read_bytes()
- create = db.create_artifact
-
- def pause_once(artifact):
- create(artifact)
- if artifact["name"] == "result":
- db.pause_run("run_finalization", "2026-01-01T00:00:00+00:00")
-
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- with monkeypatch.context() as patch:
- patch.setattr(db, "create_artifact", pause_once)
- scheduler.execute_run("run_finalization")
- first_uri = db.get_artifact("run_finalization", "result")["uri"]
- assert db.get_run("run_finalization")["status"] == "PAUSED"
- db.resume_run("run_finalization", "2026-01-01T00:00:00+00:00")
- scheduler.execute_run("run_finalization")
- assert db.get_run("run_finalization")["status"] == "COMPLETED"
- assert db.get_artifact("run_finalization", "result")["uri"] == first_uri
- with TestClient(app) as client:
- monkeypatch.setattr(app.state, "db", db)
- for alias in ("result", "copy", "step.file_uri"):
- response = client.get(f"/api/runs/run_finalization/artifacts/{alias}")
- assert response.status_code == 200
- assert response.content == original
-
-
-def test_legacy_renamed_final_survives_resume(subtitle, tmp_path):
- """兼容旧版已改名但最终记录有效的断点，恢复不能覆盖成不存在的旧路径。"""
- db = Database(tmp_path / "test.db")
- _seed(db, subtitle, {"result": "step.file_uri"})
- renamed = subtitle.with_name("legacy.srt")
- subtitle.rename(renamed)
- db.create_artifact({"run_id": "run_finalization", "node_id": "step",
- "name": "result", "uri": str(renamed)})
- WorkflowScheduler(db, tmp_path / "storage").execute_run("run_finalization")
- assert db.get_run("run_finalization")["status"] == "COMPLETED"
- assert Path(db.get_artifact("run_finalization", "result")["uri"]).read_bytes() == renamed.read_bytes()
-
-
-def test_failed_final_copy_preserves_source_and_can_retry(subtitle, tmp_path, monkeypatch):
- """复制中途写入失败不登记残缺成品，源字幕可用，恢复后可成功收尾。"""
- db = Database(tmp_path / "test.db")
- _seed(db, subtitle, {"result": "step.file_uri"})
- expected = subtitle.read_bytes()
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
-
- def fail_copy(source, destination, **kwargs):
- # 文件 I/O 边界模拟磁盘写满：真实写出截断内容后报错。
- Path(destination).write_bytes(Path(source).read_bytes()[:64])
- raise OSError("disk full")
-
- with monkeypatch.context() as patch:
- patch.setattr(shutil, "copy2", fail_copy)
- scheduler.execute_run("run_finalization")
- assert db.get_run("run_finalization")["status"] == "FAILED"
- assert db.get_artifact("run_finalization", "result") is None
- assert subtitle.read_bytes() == expected
- assert not list((tmp_path / "storage").rglob("*.tmp"))
- db.update_run("run_finalization", status="QUEUED", updated_at="2026-01-01T00:00:00+00:00")
- scheduler.execute_run("run_finalization")
- assert db.get_run("run_finalization")["status"] == "COMPLETED"
- assert Path(db.get_artifact("run_finalization", "result")["uri"]).read_bytes() == expected
-
-
-def test_batch_copy_failure_preserves_old_product_and_workspace(subtitle, tmp_path, monkeypatch):
- """批量成品写到一半失败：旧字幕不变、run/工作空间保留，重试可收尾。"""
- from wov_app.batch import BatchWorker, create_job
-
- video_asset = Path(__file__).resolve().parent.parent / "testdata/subtitle_10s.mp4"
- if not video_asset.is_file():
- pytest.skip("缺少真实视频资产")
- library = tmp_path / "library"
- library.mkdir()
- video = library / "movie.mp4"
- shutil.copy2(video_asset, video)
- db = Database(tmp_path / "test.db")
- _seed(db, subtitle, {"result": "step.file_uri"})
- db.upsert_workflow({"id": "finalization", "name": "收尾回归", "published": 1, "latest_version": 1})
- job_id = create_job(db, str(library), "finalization")
- item = db.list_batch_videos(job_id)[0]
- work_dir = Path(item["work_dir"])
- work_dir.mkdir(parents=True)
- source = work_dir / "result.srt"
- shutil.copy2(subtitle, source)
- now = "2026-01-01T00:00:00+00:00"
- db.update_batch_video(item["id"], run_id="run_finalization", updated_at=now)
- db.update_run("run_finalization", status="COMPLETED", updated_at=now)
- db.create_artifact({"run_id": "run_finalization", "node_id": "step",
- "name": "result", "uri": str(source)})
- target = library / "movie.CN.srt"
- shutil.copy2(subtitle, target)
- original = target.read_bytes()
- worker = BatchWorker(db)
-
- def fail_copy(source, destination, **kwargs):
- Path(destination).write_bytes(Path(source).read_bytes()[:64])
- raise OSError("disk full")
-
- with monkeypatch.context() as patch:
- patch.setattr(shutil, "copy2", fail_copy)
- worker._process_job(db.get_batch_job(job_id))
- assert db.get_batch_video(item["id"])["status"] == "FAILED"
- assert target.read_bytes() == original
- assert db.get_run("run_finalization") is not None
- assert source.read_bytes() == original
- assert not list(library.glob("*.tmp"))
- worker._process_job(db.get_batch_job(job_id))
- assert db.get_batch_video(item["id"])["status"] == "COMPLETED"
- assert db.get_run("run_finalization") is None
- assert not work_dir.exists()
- assert target.read_bytes() == original
- assert video.read_bytes() == video_asset.read_bytes()
-
-
-@pytest.mark.parametrize("missing_ref", [False, True])
-def test_missing_final_fails_run(subtitle, tmp_path, missing_ref):
- """必需最终输出无引用或文件丢失都应 FAILED，不能成功登记失效链接。"""
- db = Database(tmp_path / "test.db")
- _seed(db, subtitle, {"result": "step.missing" if missing_ref else "step.file_uri"})
- if not missing_ref:
- subtitle.unlink()
- WorkflowScheduler(db, tmp_path / "storage").execute_run("run_finalization")
- run = db.get_run("run_finalization")
- assert run["status"] == "FAILED"
- assert "result" in run["error"]
diff --git a/tests/test_frontend_crop.py b/tests/test_frontend_crop.py
deleted file mode 100644
index 7fefaa0..0000000
--- a/tests/test_frontend_crop.py
+++ /dev/null
@@ -1,28 +0,0 @@
-"""前端 crop 归一化纯函数测试。
-
-通过 node 执行 tests/test_crop_js.js（真实 JS 断言），验证框选矩形与
-crop 比例的互转（含 letterbox 与越界钳制）。
-"""
-
-import shutil
-import subprocess
-from pathlib import Path
-
-import pytest
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-JS_TEST = WORKSPACE / "tests" / "test_crop_js.js"
-
-
-def test_crop_js_normalization() -> None:
- """node 执行 crop 纯函数断言（TDD 红阶段先失败）。"""
- if shutil.which("node") is None:
- pytest.skip("环境无 node，跳过前端 crop 单测")
- result = subprocess.run(
- ["node", str(JS_TEST)],
- capture_output=True,
- text=True,
- cwd=str(WORKSPACE),
- )
- assert result.returncode == 0, result.stderr
diff --git a/tests/test_hallucination_mask.py b/tests/test_hallucination_mask.py
deleted file mode 100644
index cddda18..0000000
--- a/tests/test_hallucination_mask.py
+++ /dev/null
@@ -1,262 +0,0 @@
-"""字幕幻觉清洗测试（先红后绿）。
-
-背景（实测 run 20260905115050）：修复时间对齐后，字幕仍残留四类问题，
-其中"寒暄/收尾幻觉词"最具确定性、可规则化：
-
-- 产物里 '晚安 / 感谢观看 / 感谢收看 / 感谢您的观看' 等固定套话出现 36 次；
-- 其中 **33 条展示时长 = 30s（整块占满）**，明显是 ASR/LLM 对无内容段
- 的音量幻觉占位，与视频内容毫无关系；
-- 仅 2 条时长 ~2s（如 720.00-722.00 '晚安'）可能是剧情里真的说了"晚安"，
- 属于真实内容，不应误删。
-
-方案（用户 2026-09 确认改为**整条剔除**）：幻觉识别出后（展示时长 ≥ 阈值
-且文本命中寒暄词表），应**连带时间戳把整条字幕 cue 删除**（剩余重新编号），
-而不是替换成 '-' 占位——占位会一路流到 ASS 渲染成可见减号，处理位置绕且
-不彻底。因此清洗统一为在幻觉产生处（whisper decode_full 转录后 / LLM 翻译
-后）直接删除整条。
-
-两类词表：
-- HALLUCINATION_TOKENS：中文（LLM 翻译产物）；
-- JAPANESE_HALLUCINATION_TOKENS：日文（whisper decode_full 直出）。
-
-阈值从本次真实运行实测数据判定：30s 幻觉占位 vs 2s 真实词，分界明显，
-本测试选 threshold=15s（≥15s 才删除；≤15s 保留）。
-"""
-
-from __future__ import annotations
-
-import pytest
-
-# 清洗逻辑来自生产模块 nodes/subtitle_cleanup.py（纯函数），测试只 import。
-from nodes.subtitle_cleanup import (
- DEFAULT_THRESHOLD_SECONDS,
- HALLUCINATION_TOKENS,
- clean_japanese_hallucinations,
- clean_srt_text,
- remove_short_moan_entries,
-)
-
-
-def test_remove_long_hallucination_whole_cue() -> None:
- """30s 的'晚安/感谢观看'（幻觉占位）须整条删除：序号+时间轴+文本都消失。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:02,000\n真实内容\n\n"
- "2\n00:01:00,000 --> 00:01:30,000\n晚安\n\n"
- "3\n00:02:00,000 --> 00:02:30,000\n感谢您的观看\n\n"
- "4\n00:03:00,000 --> 00:03:02,000\n继续真实\n\n"
- )
- out = clean_srt_text(srt)
- # 幻觉条目连带时间戳整条消失。
- assert "00:01:00,000 --> 00:01:30,000" not in out
- assert "晚安" not in out
- assert "00:02:00,000 --> 00:02:30,000" not in out
- assert "感谢您的观看" not in out
- # 真实条目保留且序号重新连续编号（原 1、4 -> 新 1、2）。
- assert out.startswith("1\n00:00:00,000 --> 00:00:02,000\n真实内容")
- assert "2\n00:03:00,000 --> 00:03:02,000\n继续真实" in out
-
-
-def test_remove_short_hallucination_preserved() -> None:
- """2s 的'晚安'（剧情真实道晚安）必须保留，不误删。"""
- srt = (
- "1\n00:12:00,000 --> 00:12:02,000\n晚安\n\n"
- "2\n00:12:03,000 --> 00:12:06,000\n明天见\n\n"
- )
- out = clean_srt_text(srt)
- assert "晚安" in out
- assert "明天见" in out
- assert out.count("-->") == 2
-
-
-def test_remove_non_hallucination_always_preserved() -> None:
- """普通内容（即使很长）绝不能被当成寒暄幻觉处理。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:25,000\n"
- "今天我将为您提供精神调适服务\n\n"
- )
- out = clean_srt_text(srt)
- assert "精神调适" in out
-
-
-def test_remove_threshold_boundary() -> None:
- """阈值边界：恰好 ≥ 阈值才删除；< 阈值保留。"""
- srt_ge = "1\n00:00:00,000 --> 00:00:15,000\n晚安\n\n"
- assert "晚安" not in clean_srt_text(srt_ge)
- srt_lt = "1\n00:00:00,000 --> 00:00:14,990\n晚安\n\n"
- assert "晚安" in clean_srt_text(srt_lt)
-
-
-def test_remove_resequences_numbers() -> None:
- """删除中间 cue 后，剩余条目序号从 1 连续递增（合法 SRT）。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:01,000\n甲\n\n"
- "2\n00:01:00,000 --> 00:01:30,000\n晚安\n\n" # 幻觉被删
- "3\n00:02:00,000 --> 00:02:01,000\n乙\n\n"
- "4\n00:03:00,000 --> 00:03:01,000\n丙\n\n"
- )
- out = clean_srt_text(srt)
- lines = [l for l in out.splitlines() if l.strip()]
- # 重新编号：序号应为 1,2,3 各一次。
- import re
- numbers = [int(l) for l in lines if re.fullmatch(r"\d+", l.strip())]
- assert numbers == [1, 2, 3]
-
-
-# ---------------------------------------------------------------------------
-# 日语（ASR 直出）幻觉清洗 —— whisper 节点 decode_full 兜底用
-# ---------------------------------------------------------------------------
-
-
-def test_jp_long_hallucination_removed() -> None:
- """30s 的'おやすみなさい/ご視聴ありがとうございました'（无语音段幻觉）整条删除。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:02,000\n気持ちいい\n\n"
- "2\n00:00:10,000 --> 00:00:40,000\nおやすみなさい\n\n"
- "3\n00:00:41,000 --> 00:01:11,000\nご視聴ありがとうございました\n\n"
- "4\n00:01:12,000 --> 00:01:14,000\nまた明日ね\n\n"
- )
- out = clean_japanese_hallucinations(srt)
- assert "おやすみなさい" not in out
- assert "ご視聴ありがとうございました" not in out
- assert "00:00:10,000 --> 00:00:40,000" not in out
- assert "気持ちいい" in out
- assert "また明日ね" in out
-
-
-def test_jp_short_hallucination_preserved() -> None:
- """2s 的'おやすみなさい'（剧情真实道晚安）须保留，不误删。"""
- srt = (
- "1\n00:12:00,000 --> 00:12:02,000\nおやすみなさい\n\n"
- "2\n00:12:03,000 --> 00:12:06,000\nまた明日ね\n\n"
- )
- out = clean_japanese_hallucinations(srt)
- assert "おやすみなさい" in out
- assert "また明日ね" in out
-
-
-def test_jp_non_hallucination_always_preserved() -> None:
- """普通长句（即使很长）绝不能被当成日语幻觉处理。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:25,000\n"
- "今日はお客様のために精神整備を務めさせていただきます\n\n"
- )
- out = clean_japanese_hallucinations(srt)
- assert "精神整備" in out
-
-
-def test_jp_threshold_15s() -> None:
- """日语清洗同样遵守 15s 时长阈值：15s 恰好删除，14.99s 保留。"""
- srt = "1\n00:00:00,000 --> 00:00:15,000\nおやすみなさい\n\n"
- assert "おやすみなさい" not in clean_japanese_hallucinations(srt)
- srt2 = "1\n00:00:00,000 --> 00:00:14,990\nおやすみなさい\n\n"
- assert "おやすみなさい" in clean_japanese_hallucinations(srt2)
-
-
-@pytest.mark.integration
-def test_jp_middle_removal_resequences() -> None:
- """删除中间日语幻觉后剩余条目重编号且文本/时间正确对应。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:02,000\nあ\n\n"
- "2\n00:00:10,000 --> 00:00:40,000\nおやすみなさい\n\n" # 删
- "3\n00:00:41,000 --> 00:00:43,000\nい\n\n"
- )
- out = clean_japanese_hallucinations(srt)
- assert out.count("-->") == 2
- assert out.startswith("1\n00:00:00,000 --> 00:00:02,000\nあ")
- assert "2\n00:00:41,000 --> 00:00:43,000\nい" in out
-
-
-# ---------------------------------------------------------------------------
-# 短呻吟/喘息碎片过滤（decode_full 救回弱语音的去噪）—— user 2026-09 决策
-# ---------------------------------------------------------------------------
-#
-# 背景实测（savr-1054-2 前 600s）：decode_full 无 VAD 解码会把呻吟/BGM 混叠
-# 的弱语音也救回来，但其中含大量**纯语气词碎片**（あ…/ん？/はぁ…/あ!あ!/んふふ
-# 等，有效假名 ≤3 个），这类内容放进字幕是噪声，影响观看。真实数据对照：
-# - 要删（纯呻吟/喘息）：あ、ん、ん？、あ〜、あ…、はぁ…、あぁ…、あ!あ!、
-# ふふ、んふふ、あ…あ…
-# - 不能删（真实短对话）：えへへ、そこ、やばい、ねえ、やだ、行く行く行く、
-# 痛い痛い、お尻よ、よく見て、気持ちいい
-#
-# 判据：去空白/标点后剩余内容**全部由纯呻吟字符组成**（集合刻意排除
-# そ/こ/ね/や/ば/だ/く/へ 等，保证そこ/やばい/ねえ/えへへ 天然不命中）且
-# **有效假名字符数 ≤ max_chars（默认 3）** 才整条删除；超过阈值的非纯字
-# 符条目一律保留。仅 decode_full=true 时由 whisper 节点调用（用户决策）。
-
-
-def test_remove_short_moan_pure_moans_deleted() -> None:
- """纯呻吟/喘息碎片（あ/ん/ん？/あ〜/はぁ…/あ!あ!/んふふ）整条删除。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:02,000\n気持ちいい\n\n"
- "2\n00:00:10,000 --> 00:00:11,000\nあ\n\n" # 删
- "3\n00:00:12,000 --> 00:00:13,000\nん？\n\n" # 删
- "4\n00:00:14,000 --> 00:00:15,000\nあ〜\n\n" # 删
- "5\n00:00:16,000 --> 00:00:17,000\nはぁ…\n\n" # 删
- "6\n00:00:18,000 --> 00:00:19,000\nあ!あ!\n\n" # 删
- "7\n00:00:20,000 --> 00:00:21,000\nんふふ\n\n" # 删
- )
- out = remove_short_moan_entries(srt)
- for frag in ("あ\n", "ん？", "あ〜", "はぁ", "あ!あ!", "んふふ"):
- assert frag not in out
- # 真实内容保留、序号重编号为 1。
- assert out == "1\n00:00:00,000 --> 00:00:02,000\n気持ちいい\n"
-
-
-def test_remove_short_moan_real_words_kept() -> None:
- """真实短对话（即使 ≤3 假名）绝不误删：そこ/やばい/ねえ/やだ/えへへ/行く行く行く。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:01,000\nそこ\n\n"
- "2\n00:00:02,000 --> 00:00:03,000\nやばい\n\n"
- "3\n00:00:04,000 --> 00:00:05,000\nねえ\n\n"
- "4\n00:00:06,000 --> 00:00:07,000\nやだ\n\n"
- "5\n00:00:08,000 --> 00:00:09,000\nえへへ\n\n"
- "6\n00:00:10,000 --> 00:00:12,000\n行く行く行く\n\n"
- )
- out = remove_short_moan_entries(srt)
- assert all(w in out for w in ("そこ", "やばい", "ねえ", "やだ", "えへへ", "行く行く行く"))
- assert out.count("-->") == 6
-
-
-def test_remove_short_moan_threshold_boundary() -> None:
- """阈值边界：有效假名 ≤ max_chars(3) 才删；>3 或有非呻吟字符保留；max_chars=0 关闭。"""
- # 4 个あ（>3）超出阈值 → 保留；3 个あ（=3）→ 删。
- srt = (
- "1\n00:00:00,000 --> 00:00:01,000\nああああ\n\n" # 保留（4字）
- "2\n00:00:02,000 --> 00:00:03,000\nあああ\n\n" # 删（3字）
- "3\n00:00:04,000 --> 00:00:05,000\nあ、気持ち\n\n" # 保留（気持ち非纯字）
- )
- out = remove_short_moan_entries(srt)
- assert "ああああ" in out
- # 3 个あ（=阈值）的 cue 被删：检查其时间轴不出现（避免与保留的 4 字ああああ 子串冲突）。
- assert "00:00:02,000 --> 00:00:03,000" not in out
- assert "気持ち" in out
- assert out.count("-->") == 2
- # max_chars=0 关闭过滤：什么都不删。
- srt2 = "1\n00:00:00,000 --> 00:00:01,000\nあ\n\n"
- assert remove_short_moan_entries(srt2, max_chars=0) == srt2
-
-
-def test_remove_short_moan_jp_hiragana_variants() -> None:
- """多种呻吟写法（片假名音/小写假名/长音符/省略号/问号伴奏）都能命中。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:01,000\nア\n\n" # 片假名あ
- "2\n00:00:02,000 --> 00:00:03,000\nうぅ…\n\n" # 小写ぅ
- "3\n00:00:04,000 --> 00:00:05,000\nあぁ〜\n\n" # 长音符
- "4\n00:00:06,000 --> 00:00:07,000\nんー\n\n" # 长音ー
- "5\n00:00:08,000 --> 00:00:09,000\nあ あ\n\n" # 带空格
- )
- out = remove_short_moan_entries(srt)
- assert out.count("-->") == 0
-
-
-def test_remove_short_moan_multiline_and_resequence() -> None:
- """多行文本条目与删除后重编号（序号连续、时间正确对应）。"""
- srt = (
- "1\n00:00:00,000 --> 00:00:02,000\n気持ちいい\nね\n\n"
- "2\n00:00:10,000 --> 00:00:11,000\nん〜\n\n" # 删
- "3\n00:00:12,000 --> 00:00:15,000\nやばい\n\n"
- )
- out = remove_short_moan_entries(srt)
- assert out.count("-->") == 2
- assert out.startswith("1\n00:00:00,000 --> 00:00:02,000\n気持ちいい\nね")
- assert "2\n00:00:12,000 --> 00:00:15,000\nやばい" in out
diff --git a/tests/test_integration_alignment.py b/tests/test_integration_alignment.py
deleted file mode 100644
index f24deb9..0000000
--- a/tests/test_integration_alignment.py
+++ /dev/null
@@ -1,192 +0,0 @@
-"""视频字幕生成流水线 → 时间对齐集成测试（真实数据复现"字幕时间不吻合"）。
-
-背景：用户反馈 demo"视频字幕生成"产物的字幕与人物说话时间不吻合——存在
-字幕**过早**或**过晚**展示。本测试**不自己跑 whisper**（长视频转写慢、低
-显存易 OOM），而是：
-
-1. 直接用现有"视频字幕生成"流水线跑一遍真实视频（该流水线已产出
- transcript.srt 中文翻译字幕，时间轴来自 whisper + 提示词翻译）；
-2. 测试读取流水线**产物文件夹**里的最终字幕（.srt/.ass）；
-3. 与人工校对的**参考字幕**（testdata/alignment/.reference.srt，即
- 硬字幕 OCR 提取、时间轴为"说话真实发生的时间"）做时间对齐量化评估，
- 复现"过早/过晚"问题（红），为修复提供绿标准。
-
-产物来源（用户告知）：流水线结果文件夹，含最终字幕文件。测试通过
-环境变量 ALIGN_RESULT_DIR 指定，或命令行传 `--result-dir`（pytest 用
---override-ini 或直接用环境变量）。
-
-数据契约：
-- 参考字幕：``testdata/alignment/.reference.srt``（硬字幕/人工校对）
-- 流水线产物：``$ALIGN_RESULT_DIR/*.srt|*.ass``（最终字幕，时间轴为产物）
-素材/参考/产物任一缺失时测试整体跳过（不污染 100% 覆盖率门禁）。
-"""
-
-from __future__ import annotations
-
-import os
-from pathlib import Path
-
-import pytest
-
-from tests.realdata_contract import (
- ALIGNMENT_DIR,
- TIER1_TOLERANCE_SECONDS,
- TIER2_EARLY_SECONDS,
- TIER2_LATE_SECONDS,
- align_report,
- alignment_candidates,
- clean_reference,
- parse_srt_entries,
-)
-
-
-def _result_dir() -> Path | None:
- """返回流水线产物文件夹（环境变量 ALIGN_RESULT_DIR 指定）；未设置返回 None。"""
- raw = os.getenv("ALIGN_RESULT_DIR")
- if not raw:
- return None
- path = Path(raw)
- return path if path.is_dir() else None
-
-
-def _find_produced_srt(result_dir: Path) -> list[Path]:
- """在产物文件夹中寻找最终字幕文件（.srt / .ass），按名称排序。"""
- files = []
- for ext in (".srt", ".ass"):
- files.extend(result_dir.glob(f"*{ext}"))
- # 排除参考字幕与临时文件。
- files = [f for f in files if ".reference" not in f.name and not f.name.startswith("._")]
- return sorted(files)
-
-
-def test_pipeline_time_alignment_vs_reference() -> None:
- """流水线产物字幕 vs 硬字幕参考：量化复现"过早/过晚"。
-
- 做法（真实数据，不 mock）：
- - 取 testdata/alignment/.reference.srt 作为参考时间轴；
- - 取 $ALIGN_RESULT_DIR 下流水线最终字幕（若有多个，取时间轴与参考最接近
- 的那个，即覆盖时段与参考对齐的文件）；
- - 对产物逐条做最近邻时间匹配，输出平均绝对偏差/偏早偏晚累计/中位偏差；
- - 断言捕获到"系统性偏差或平均偏差过大"即复现成功（红）。
-
- 修复后（vad 策略/对齐策略/翻译时间戳策略改善）偏差应回落，测试转绿。
- """
- candidates = alignment_candidates()
- if not candidates:
- pytest.skip(
- f"缺少参考数据（{ALIGNMENT_DIR}/. + .reference.srt），"
- "跳过时间对齐集成测试"
- )
- result_dir = _result_dir()
- if result_dir is None:
- pytest.skip("未设置 ALIGN_RESULT_DIR（流水线产物文件夹），跳过")
-
- produced_files = _find_produced_srt(result_dir)
- if not produced_files:
- pytest.skip(
- f"{result_dir} 下没有 .srt/.ass 产物，跳过（请确认流水线已完成）"
- )
-
- all_pass = True
- reasons: list[str] = []
-
- # 对每个素材用参考时间轴评判，选其中覆盖时段与参考最接近的产物文件。
- for media in candidates:
- reference = clean_reference(parse_srt_entries(
- media.with_suffix(".reference.srt").read_text(encoding="utf-8")
- ))
- if not reference:
- reasons.append(f"{media.stem}: 参考字幕为空")
- all_pass = False
- continue
-
- # 择优：产物文件与参考起始时间差最小的作为该素材的评判对象。
- best_file, best_file_produced = None, []
- best_score = float("inf")
- for p in produced_files:
- produced = parse_srt_entries(p.read_text(encoding="utf-8"))
- if not produced:
- continue
- # 覆盖差距 = 产物首条与参考首条的起始时间差（取绝对值）。
- score = abs(produced[0]["start"] - reference[0]["start"])
- if score < best_score:
- best_score = score
- best_file, best_file_produced = p, produced
-
- if best_file is None:
- reasons.append(f"{media.stem}: 产物文件均无法与参考匹配")
- all_pass = False
- continue
-
- report = align_report(media.stem, True, best_file_produced, reference)
- print("\n" + report.format_summary())
- print(f" 产物文件: {best_file.name}")
-
- reason = None
- if report.mean_abs_error > TIER1_TOLERANCE_SECONDS:
- reason = (
- f"{media.stem} 平均绝对偏差 {report.mean_abs_error:.2f}s > "
- f"容差 {TIER1_TOLERANCE_SECONDS}s（过早/过晚普遍存在）"
- )
- elif report.consistently_early:
- reason = (
- f"{media.stem} 系统性偏早（中位 {report.bias:+.2f}s < "
- f"-{TIER2_EARLY_SECONDS}s）"
- )
- elif report.consistently_late:
- reason = (
- f"{media.stem} 系统性偏晚（中位 {report.bias:+.2f}s > "
- f"+{TIER2_LATE_SECONDS}s）"
- )
- if reason:
- reasons.append(reason)
- all_pass = False
- else:
- print(f" 对齐正常: {media.stem}")
-
- # 结论性断言：至少量化捕获到一个"过早/过晚"信号才是"复现成功"。
- assert not all_pass, (
- "流水线产物与参考字幕未捕捉到明显时间不同步：请确认参考时间轴正确、"
- "ALIGN_RESULT_DIR 指向完成后产物文件夹、产物覆盖时段与参考一致。"
- )
- if reasons:
- raise AssertionError(
- "已量化复现字幕时间与说话时间不吻合：\n- " + "\n- ".join(reasons)
- )
-
-
-def test_alignment_report_helpers() -> None:
- """纯函数冒烟：对齐指标组件（不依赖真实数据，用于验证指标本身）。"""
- produced = [
- {"start": 1.0, "end": 2.0, "text": "a"},
- {"start": 4.0, "end": 5.0, "text": "b"},
- ]
- reference = [
- {"start": 1.0, "end": 2.0, "text": "A"},
- {"start": 4.0, "end": 5.0, "text": "B"},
- ]
- report = align_report("smoke", True, produced, reference)
- assert report.mean_abs_error == 0.0 # 完美对齐时平均绝对偏差为 0
- assert not report.consistently_early
- assert not report.consistently_late
- assert report.bias == 0.0
-
- # 系统性偏晚：产物起始全部比参考晚 1.5s。
- produced_late = [
- {"start": 2.5, "end": 3.5, "text": "a"},
- {"start": 5.5, "end": 6.5, "text": "b"},
- ]
- report_late = align_report("smoke", True, produced_late, reference)
- assert report_late.consistently_late
- assert report_late.bias > TIER2_LATE_SECONDS
-
- # 系统性偏早：产物起始全部比参考早 1.5s。
- ref_early = [
- {"start": 2.0, "end": 3.0, "text": "X"},
- ]
- produced_early = [
- {"start": 0.5, "end": 1.5, "text": "a"},
- ]
- report_early = align_report("smoke", True, produced_early, ref_early)
- assert report_early.consistently_early
- assert report_early.bias < -TIER2_EARLY_SECONDS
\ No newline at end of file
diff --git a/tests/test_integration_prompt_rules.py b/tests/test_integration_prompt_rules.py
deleted file mode 100644
index 79b28a1..0000000
--- a/tests/test_integration_prompt_rules.py
+++ /dev/null
@@ -1,175 +0,0 @@
-"""幻觉词 / 专有名词提示词规则集成测试。
-
-用户反馈两组翻译产物问题：
-1. **幻觉词**：字幕里出现"谢谢观看、晚安"等与视频无关的收尾/开场寒暄。
- 根因是 ASR 模型训练数据里这类文本出现频率极高，模型会凭空生成；
- 应在**翻译步骤**当作"与上下文无关的内容"移除，而不是留在正片字幕里。
-2. **误直译专有名词**：如"芒果"（角色/品牌名マンゴー）被当成普通名词翻译到
- 译文，破坏人名/品牌的一致性。
-
-本测试的修复方向（与用户确认）：**在 llm-translate 的系统提示词里动态注入
-规则**——当待翻译的字幕数据包含相关关键词（收尾寒暄、专名）时，把对应规则
-拼入提示词，让模型在翻译源头剔除寒暄、保留专名，而非事后过滤也可能误伤
-真实内容。
-
-实现策略（不 mock 任何模型）：
-- 真实样本：``testdata/prompt_rules/.ja.srt``（真实视频的日文 ASR 输出）
-- 期望清单：``testdata/prompt_rules/.expected.txt``（每行一个断言关键词）
-- 测试调用**真实 LLM API**（读 .env 的 LLM_API_BASE / KEY / MODEL，与生产
- llm-translate 同一接口），用拼入规则后的系统提示词翻译真实字幕，断言：
- 1. 译文中不再出现寒暄幻觉词（assert_no_halucination）；
- 2. 专有名词未被直译（assert_proper_noun_preserved）。
-- 环境未配置 LLM Key 或样本缺失时整体跳过；具备条件时必须执行（回归门禁）。
-
-同时提供提示词规则的纯函数（build_translation_system_prompt），使未来
-nodes/llm.py 采用"检测关键词 → 动态拼规则"实现时有确定的落点与可测契约。
-"""
-
-from __future__ import annotations
-
-import os
-from pathlib import Path
-
-import pytest
-
-from nodes.llm import translate_lines
-from tests.realdata_contract import (
- PROMPT_RULES_DIR,
- assert_no_halucination,
- assert_proper_noun_preserved,
- build_translation_system_prompt,
- prompt_rule_candidates,
-)
-
-
-def _has_llm_credentials() -> bool:
- """是否具备真实 LLM 调用条件（接口地址 + Key，缺一不可）。"""
- return bool(os.getenv("LLM_API_BASE")) and bool(os.getenv("LLM_API_KEY"))
-
-
-@pytest.mark.integration
-def test_prompt_rules_remove_hallucination_and_keep_proper_nouns(tmp_path) -> None:
- """真实数据 + 真实 LLM：动态提示词规则剔除寒暄幻觉、保留专有名词。
-
- 对每个真实样本：
- 1. 解析 .ja.srt 的纯文本行；
- 2. 用拼入"寒暄移除 + 专名保留"规则的系统提示词调用真实 LLM 翻译；
- 3. 断言译文不含寒暄幻觉词、专有名词未被直译为禁词。
-
- 当前实现若未动态注入规则（旧版 llm.py 只有基础翻译指令），LLM 很可能
- 输出"感谢观看/晚安"等寒暄或把"芒果"直译——测试为红；实现规则后，
- 提示词生效，测试转绿。该断言**只依赖真实数据，不 mock 模型**。
- """
- samples = prompt_rule_candidates()
- if not samples:
- pytest.skip(
- f"缺少提示词规则样本（{PROMPT_RULES_DIR}/.ja.srt + "
- ".expected.txt），跳过"
- )
- if not _has_llm_credentials():
- pytest.skip("未配置 LLM_API_BASE / LLM_API_KEY，跳过真实 LLM 调用")
-
- all_ok = True
- problems: list[str] = []
- for sample in samples:
- source_srt = sample.read_text(encoding="utf-8")
- # 提取纯文本行（跳过序号/时间轴/空行，即 SRT 的文本行）。
- lines = [
- line
- for i, line in enumerate(source_srt.splitlines())
- if (i % 4) == 2 and line.strip()
- ]
- if not lines:
- problems.append(f"{sample.stem}: SRT 无文本行")
- all_ok = False
- continue
-
- # 动态提示词：基础指令 + 寒暄移除规则 + 专名保留规则。
- system_prompt = build_translation_system_prompt(target_language="zh-CN")
- # 复用生产 translate_lines 的请求路径，但覆盖 system 提示词：
- # 这里通过 params 透传编译好的提示词（与 nodes/llm.py 未来实现对齐）。
- params = {"target_language": "zh-CN"}
- # 真实调用：translate_lines 内部会拼接基础提示词；为不 mock，
- # 我们直接验证"规则提示词确实被构造出来"且译文符合预期——
- # 调用真实 API 时需要把规则拼入请求，因此这里临时构造请求并发送。
- translated = _translate_with_prompt(lines, system_prompt, params)
- translated_srt = "\n".join(translated)
-
- hits = assert_no_halucination(translated_srt)
- if hits:
- problems.append(f"{sample.stem}: 译文仍含寒暄幻觉词 {hits}")
- all_ok = False
- violations = assert_proper_noun_preserved(translated_srt, source_srt)
- if violations:
- problems.append(f"{sample.stem}: 专名被直译 {violations}")
- all_ok = False
- if all_ok:
- print(f" 规则生效: {sample.stem} 无寒暄、专名保留")
-
- assert all_ok, "提示词规则未达预期：\n- " + "\n- ".join(problems)
-
-
-def _translate_with_prompt(lines: list[str], system_prompt: str, params: dict) -> list[str]:
- """用指定系统提示词调用真实 LLM 翻译（生产 translate_lines + 规则提示词）。
-
- 实现：直接复用 nodes.llm.translate_lines 的真实 HTTP 调用路径，但把
- 规则系统提示词传给 LLM。translate_lines 当前签名不接受 system_prompt，
- 这里以"临时包装"方式发送同一请求体，保证测试走真实 API 且不 mock。
- 未来 nodes/llm.py 若支持在 params 中传入 system_prompt 覆盖，可改为
- 直接调用 translate_lines(lines, {**params, "system_prompt": prompt})。
- """
- import json
- import urllib.request
-
- api_base = os.getenv("LLM_API_BASE")
- api_key = os.getenv("LLM_API_KEY", "")
- model = str(params.get("model") or os.getenv("LLM_MODEL", "Qwen/Qwen3.6-35B-A3B"))
- request_timeout = float(os.getenv("LLM_TIMEOUT_SECONDS", "600"))
-
- translated: list[str] = []
- from nodes.llm import CHUNK_SIZE
-
- for start in range(0, len(lines), CHUNK_SIZE):
- chunk = lines[start : start + CHUNK_SIZE]
- body = {
- "model": model,
- "messages": [
- {"role": "system", "content": system_prompt},
- {"role": "user", "content": "\n".join(chunk)},
- ],
- "enable_thinking": False,
- "max_tokens": 8192,
- }
- headers = {"Content-Type": "application/json"}
- if api_key:
- headers["Authorization"] = f"Bearer {api_key}"
- request = urllib.request.Request(
- api_base,
- data=json.dumps(body).encode("utf-8"),
- headers=headers,
- method="POST",
- )
- with urllib.request.urlopen(request, timeout=request_timeout) as response:
- payload = json.loads(response.read().decode("utf-8"))
- content = payload["choices"][0]["message"]["content"]
- translated.extend([line.strip() for line in content.splitlines() if line.strip()])
- return translated
-
-
-@pytest.mark.integration
-def test_prompt_rule_builder_smoke() -> None:
- """纯函数冒烟：提示词规则拼接（不依赖真实数据/LLM，验证规则本身存在）。"""
- prompt = build_translation_system_prompt(target_language="zh-CN")
- assert "不翻译、不输出" in prompt # 寒暄移除规则已注入
- assert "谢谢观看" in prompt # 默认寒暄词表
- assert "专有名词" in prompt # 专名保留规则已注入
- assert "マンゴー" in prompt # 默认专名名单
-
- # 空规则表不会注入对应规则段。
- bare = build_translation_system_prompt(
- target_language="en",
- hallucination_tokens=[],
- proper_nouns={},
- )
- assert "谢谢观看" not in bare
- assert "マンゴー" not in bare
\ No newline at end of file
diff --git a/tests/test_integration_reassemble_ocr.py b/tests/test_integration_reassemble_ocr.py
deleted file mode 100644
index a7d51ae..0000000
--- a/tests/test_integration_reassemble_ocr.py
+++ /dev/null
@@ -1,97 +0,0 @@
-"""真实任务 OCR 数据重组装集成测试。
-
-run_339ec7ee437f 是 2026-08 真实跑过的 ocr-subtitle 任务（14236 帧 / 2 小时
-视频）。该任务产出时期存在 frame-extract 帧文件排序 bug：ffmpeg 的 %04d 编号
-超过 9999 帧后扩为 5 位，sorted() 字典序把 5 位编号排在 4 位之前，导致
-frames.json 中 time 与图像错位（13236/14236 条位置↔帧号错位），最终 SRT
-后半段时间轴全部错乱。
-
-本测试读取该任务**已落盘的逐帧 OCR 文本**（ocr_frames/<位置>/ocr.txt，由
-vlm-ocr 节点写入的清洗后文本），用 image_uri 解析真实帧号重建正确时间轴，
-复用生产合并/组装逻辑生成 SRT，并断言"每条字幕的起始时刻 = 其文本来源帧的
-真实时间"这一核心正确性。
-
-数据位于 gitignored 的 data/storage，缺失时跳过（与
-test_integration_subtitle_ocr 的真实资产约定一致）。
-"""
-
-import json
-import re
-from pathlib import Path
-
-import pytest
-
-from nodes.subtitle_ocr import _assemble_srt
-from nodes.subtitle_ocr import _merge_kept
-from nodes.subtitle_ocr import _sampling_interval
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-RUN_DIR = WORKSPACE / "data/storage/runs/run_339ec7ee437f"
-MANIFEST = RUN_DIR / "steps/extract/frames.json"
-OCR_DIR = RUN_DIR / "steps/ocr/ocr_frames"
-
-# 源视频时长（ffprobe: 02:00:24.80）。
-VIDEO_DURATION = 7224.8
-# 该视频烧录过的字幕行，被 test_real_hav_sub.png 集成测试确认过识别结果。
-KNOWN_LINE = "还有没有什么困扰"
-
-
-def _frame_number(uri: str) -> int:
- """从 image_uri 文件名解析真实帧号（frame_0001.png -> 1）。"""
- return int(re.match(r".*frame_(\d+)\.png", Path(uri).name).group(1))
-
-
-@pytest.mark.integration
-def test_reassemble_real_run_ocr_data(tmp_path) -> None:
- """真实任务逐帧 OCR 数据按真实帧时间轴重组装为正确 SRT。"""
- if not (MANIFEST.is_file() and OCR_DIR.is_dir()):
- pytest.skip("缺少真实任务 run_339ec7ee437f 数据，跳过集成测试")
-
- manifest = json.loads(MANIFEST.read_text(encoding="utf-8"))
- total = len(manifest)
- # 等间隔采样：step/fps 从旧 manifest 相邻 time 差恢复（本任务 0.507s/帧）。
- dt = manifest[1]["time"] - manifest[0]["time"]
- assert dt > 0
-
- # ① 读取逐帧 OCR 文本：位置 i -> ocr_frames/{i:04d}/ocr.txt（真实数据）。
- texts_by_pos: list[str] = []
- for i in range(total):
- p = OCR_DIR / f"{i:04d}" / "ocr.txt"
- if not p.is_file():
- pytest.fail(f"缺少逐帧 OCR 数据: {p}")
- texts_by_pos.append(p.read_text(encoding="utf-8").strip())
-
- # ② 旧 manifest 位置 -> 真实帧号：image_uri 才是实际被 OCR 的图像，
- # 旧 time 字段按位置推导已错位，不可用。
- frame_by_pos = [_frame_number(item["image_uri"]) for item in manifest]
- assert sorted(frame_by_pos) == list(range(1, total + 1)) # 一一对应，无缺无重
-
- # ③ 按真实帧号重建正确时间轴：第 k 帧（1-based）时间 = (k-1)*dt。
- ocr_by_frame = {n: texts_by_pos[i] for i, n in enumerate(frame_by_pos)}
- manifest_corrected = [{"time": round((k - 1) * dt, 3)} for k in range(1, total + 1)]
- texts_corrected = [ocr_by_frame[k] for k in range(1, total + 1)]
-
- # ④ 复用生产合并 + 组装逻辑（与 subtitle_ocr.invoke 完全同一路径）。
- kept = _merge_kept(manifest_corrected, texts_corrected)
- interval = _sampling_interval(manifest_corrected, dt)
- srt = "\n".join(_assemble_srt(kept, interval)) + "\n"
- out = tmp_path / "subtitle.srt"
- out.write_text(srt, encoding="utf-8")
-
- # ⑤ 核心正确性：每条字幕起始时刻对应的帧，其 OCR 文本必须就是本条字幕
- # 文本（修复前旧 SRT 此处大面积不一致：文本来自其他时刻的帧）。
- for start, _end, text in kept:
- frame_no = int(round(start / dt)) + 1
- assert ocr_by_frame[frame_no] == text, f"帧 {frame_no} 时间错位: {text!r}"
-
- # ⑥ 时间轴严格递增且不超出片长（含尾部一个采样间隔的消失余量）。
- assert all(
- s1 < s2 for (s1, _1, _), (s2, _2, _) in zip(kept, kept[1:])
- )
- assert kept[0][0] >= 0.0
- assert kept[-1][1] + interval <= VIDEO_DURATION + interval + 1e-6
-
- # ⑦ 已知烧录字幕行必须出现，且字幕条数合理（空帧被跳过、连续相同字幕合并）。
- assert KNOWN_LINE in srt
- assert len(kept) > 100
diff --git a/tests/test_integration_subtitle_ocr.py b/tests/test_integration_subtitle_ocr.py
deleted file mode 100644
index 6106ac2..0000000
--- a/tests/test_integration_subtitle_ocr.py
+++ /dev/null
@@ -1,90 +0,0 @@
-"""字幕 OCR 整链真实集成测试。
-
-使用 testdata/subtitle_10s.mp4（烧录 SUB 001@1-4s、SUB 002@6-9s）与真实
-glm-ocr 模型：抽帧（frame-extract）→ 逐帧 OCR（subtitle-ocr）→ 汇总 SRT，
-断言烧录文字与时间轴对齐。Ollama 服务或资产缺失时自动跳过。
-"""
-
-import json
-import urllib.request
-from pathlib import Path
-
-import pytest
-
-from nodes.frame_extract import invoke as frame_invoke
-from nodes.subtitle_ocr import invoke as ocr_invoke
-from wov_sdk.models import InvokeRequest
-
-OLLAMA_HOST = "http://192.168.123.70:11434"
-MODEL = "glm-ocr:latest"
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-VIDEO = WORKSPACE / "testdata" / "subtitle_10s.mp4"
-
-
-def _register_nodes() -> None:
- """注册全部内置节点，供 subtitle-ocr 内部调 vlm-ocr 使用。"""
- from wov_app import registry
-
- registry.register_all()
-
-
-def _ollama_reachable() -> bool:
- """探测 Ollama 服务与目标模型是否可用。"""
- try:
- req = urllib.request.Request(
- f"{OLLAMA_HOST}/api/show",
- data=b'{"model": "%s"}' % MODEL.encode(),
- headers={"Content-Type": "application/json"},
- method="POST",
- )
- with urllib.request.urlopen(req, timeout=5) as resp:
- return resp.status == 200
- except (urllib.error.URLError, OSError):
- return False
-
-
-@pytest.mark.integration
-def test_subtitle_ocr_full_chain(tmp_path) -> None:
- """抽帧→OCR→汇总：SRT 应含 SUB 001/SUB 002 且时间轴落在各自区间。"""
- if not _ollama_reachable():
- pytest.skip("Ollama 服务或 glm-ocr 模型不可用，跳过真实模型集成测试")
- if not VIDEO.is_file():
- pytest.skip("缺少 testdata/subtitle_10s.mp4 测试资产，跳过集成测试")
- _register_nodes()
-
- # 抽帧：1s 间隔，字幕在底部，裁切下半 30% 区域（y=0.7,h=0.3）。
- frames_resp = frame_invoke(
- InvokeRequest(
- run_id="chain_fx",
- node_instance_id="",
- inputs={"video_uri": str(VIDEO)},
- params={"interval_seconds": 1, "crop": [0, 0.7, 1, 0.3]},
- output_dir=str(tmp_path / "frames"),
- )
- )
- assert frames_resp.status == "completed", frames_resp.error
- manifest = json.loads(Path(frames_resp.outputs["frames_manifest"]).read_text(encoding="utf-8"))
- assert len(manifest) >= 8
-
- # OCR 汇总：真实 glm-ocr 逐帧识别。
- ocr_resp = ocr_invoke(
- InvokeRequest(
- run_id="chain_ocr",
- node_instance_id="",
- inputs={"frames_manifest": str(frames_resp.outputs["frames_manifest"])},
- params={"model": MODEL, "ollama_host": OLLAMA_HOST, "min_chars": 2},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert ocr_resp.status == "completed", ocr_resp.error
- srt = Path(ocr_resp.outputs["srt_uri"]).read_text(encoding="utf-8")
- # 两条烧录字幕都应被识别（文字可能带噪声，但至少含关键片段）。
- assert "SUB" in srt
- # 时间轴：SUB 001 应在 1-4s，SUB 002 应在 6-9s（允许模型/抽帧容差）。
- first_line = next(line for line in srt.splitlines() if "-->" in line)
- start = first_line.split(" --> ")[0].replace(",", ".")
- hours, minutes, seconds = start.split(":")
- total = int(hours) * 3600 + int(minutes) * 60 + float(seconds)
- assert total < 5
diff --git a/tests/test_integration_vlm.py b/tests/test_integration_vlm.py
deleted file mode 100644
index f444c2a..0000000
--- a/tests/test_integration_vlm.py
+++ /dev/null
@@ -1,65 +0,0 @@
-"""VLM OCR 节点真实集成测试。
-
-复用 testdata/test_real_hav_sub.png（真实视频字幕截图，一次性入库，避免
-每次测试生成）。调用本地 Ollama 服务（192.168.123.70:11434）的真实
-glm-ocr 模型做 OCR。Ollama 服务或测试资产缺失时自动跳过；可用时必须执行。
-"""
-import urllib.request
-from pathlib import Path
-
-import pytest
-
-from nodes.vlm import invoke
-from wov_sdk.models import InvokeRequest
-
-OLLAMA_HOST = "http://192.168.123.70:11434"
-MODEL = "glm-ocr:latest"
-# 测试图片（真实视频字幕帧）上应识别出的字幕文本。
-EXPECTED_TEXT = "还有没有什么困扰 或者奇怪的地方吗"
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-TEST_IMAGE = WORKSPACE / "testdata" / "test_real_hav_sub.png"
-
-
-def _ollama_reachable() -> bool:
- """探测 Ollama 服务与目标模型是否可用。"""
- try:
- req = urllib.request.Request(
- f"{OLLAMA_HOST}/api/show",
- data=b'{"model": "%s"}' % MODEL.encode(),
- headers={"Content-Type": "application/json"},
- method="POST",
- )
- with urllib.request.urlopen(req, timeout=5) as resp:
- return resp.status == 200
- except (urllib.error.URLError, OSError):
- return False
-
-
-@pytest.mark.integration
-def test_vlm_ocr_real_model(tmp_path) -> None:
- """复用真实字幕截图 + 真实 glm-ocr：应识别出关键字幕文本并清洗围栏垃圾。"""
- if not _ollama_reachable():
- pytest.skip("Ollama 服务或 glm-ocr 模型不可用，跳过真实模型集成测试")
- if not TEST_IMAGE.is_file():
- pytest.skip("缺少 testdata/test_real_hav_sub.png 测试资产，跳过集成测试")
-
- response = invoke(
- InvokeRequest(
- run_id="vlm_integration",
- node_instance_id="",
- inputs={"image_uri": str(TEST_IMAGE)},
- params={"model": MODEL, "ollama_host": OLLAMA_HOST},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- text = response.outputs["text"]
- print(text)
- # 关键字幕文本应被识别出来。注意 glm-ocr 在此图上存在已知重复循环 bug：
- # 识别出正确文本后可能继续循环输出，因此用"包含"断言而非全等，
- # 下游 subtitle-ocr 的 max_result_chars 守卫会拦截超长输出。
- assert EXPECTED_TEXT in text
- # 围栏垃圾（```）不应出现在输出里。
- assert "```" not in text
diff --git a/tests/test_integration_whisper.py b/tests/test_integration_whisper.py
deleted file mode 100644
index f3df6f8..0000000
--- a/tests/test_integration_whisper.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""真实模型集成测试。
-
-复用 testdata/speech_60s.wav（真实语音 WAV，一次性生成、入库，避免每次
-测试从视频提取）。使用真实 faster-whisper 模型端到端验证 whisper 节点的
-分块转写与 SRT 生成。本地缺少模型或测试资产时自动跳过；具备条件时必须
-执行，作为对假模型单元测试的校准。
-
-约定（见 AGENTS.md「测试与覆盖率」）：单元测试允许在模型推理这一 I/O
-边界使用返回真实结构的薄桩，但必须配套本集成测试验证真实行为。
-"""
-
-from pathlib import Path
-
-import pytest
-
-from nodes.whisper import invoke
-from wov_sdk.models import InvokeRequest
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-MODEL_DIR = WORKSPACE / "model" / "faster-whisper-large-v3"
-TEST_AUDIO = WORKSPACE / "testdata" / "speech_60s.wav"
-
-
-@pytest.mark.integration
-def test_whisper_real_model_chunked_transcription(tmp_path) -> None:
- """复用 testdata 语音 + 真实模型：分块转写产出真实 SRT，时间不越出素材范围。"""
- if not (MODEL_DIR / "model.bin").is_file():
- pytest.skip("本地无 faster-whisper-large-v3 模型，跳过真实模型集成测试")
- if not TEST_AUDIO.is_file():
- pytest.skip("缺少 testdata/speech_60s.wav 测试资产，跳过真实模型集成测试")
-
- response = invoke(
- InvokeRequest(
- run_id="integration_1",
- node_instance_id="",
- inputs={"audio_uri": str(TEST_AUDIO)},
- params={"language": "ja", "chunk_seconds": 60, "vad_filter": False},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- srt_path = Path(response.outputs["srt_uri"])
- assert srt_path.is_file()
- srt = srt_path.read_text(encoding="utf-8")
- time_lines = [line for line in srt.splitlines() if "-->" in line]
- # 60s 语音若含可识别内容，则应有字幕，且时间轴不越出素材时长（允许少量超窗）。
- if time_lines:
- last_end = time_lines[-1].split(" --> ")[1].replace(",", ".")
- hours, minutes, seconds = last_end.split(":")
- total = int(hours) * 3600 + int(minutes) * 60 + float(seconds)
- assert total < 90
diff --git a/tests/test_learn_translate_workflow.py b/tests/test_learn_translate_workflow.py
deleted file mode 100644
index 5b27317..0000000
--- a/tests/test_learn_translate_workflow.py
+++ /dev/null
@@ -1,107 +0,0 @@
-"""学习资料转译工作流（learn-translate）加载与标注测试。
-
-验证新增工作流 learn-translate.json：
-1. 能被 seed 正常加载入库（definition 通过 WorkflowDefinition 校验）；
-2. 关键参数应用了本次修复（decode_full=true、vad_filter=false）且 params 内
- _note_* 说明键、_node_help 手册完整保留（不被模型/入库丢弃）；
-3. 标注键（_note_*/_node_help）作为 params 传给节点时不影响节点执行——
- 节点只读取它认识的参数键，多余的说明键被忽略（真实节点行为）。
-"""
-
-from __future__ import annotations
-
-import json
-from pathlib import Path
-
-from wov_app.db import Database
-from wov_app.seed import seed_default_workflows
-from wov_sdk.models import WorkflowDefinition
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-LEARN = WORKSPACE / "workflows" / "learn-translate.json"
-
-
-def test_learn_translate_seed_loads_and_applies_fix() -> None:
- """验证 learn-translate 能被 seed 加载，asr 应用本次 decode_full 修复。"""
- db = Database(WORKSPACE / "data" / "wov_test.db")
- # 用临时目录避免污染真实 data
- import tempfile
- with tempfile.TemporaryDirectory() as tmp:
- db2 = Database(Path(tmp) / "wov.db")
- created = seed_default_workflows(db2)
- assert created >= 4 # demo/zh-direct/ocr-subtitle/learn-translate
- definition = db2.get_latest_workflow_version("learn-translate")["definition"]
- asr = next(node for node in definition["nodes"] if node["id"] == "asr")
- assert asr["params"]["decode_full"] is True
- assert asr["params"]["vad_filter"] is False
- assert asr["params"]["chunk_seconds"] == 60
- assert asr["params"]["condition_on_previous_text"] is False
-
-
-def test_learn_translate_notes_and_help_preserved() -> None:
- """验证 _note_* 理由与 _node_help 手册在入库后完整保留。"""
- import tempfile
- with tempfile.TemporaryDirectory() as tmp:
- db = Database(Path(tmp) / "wov.db")
- seed_default_workflows(db)
- definition = db.get_latest_workflow_version("learn-translate")["definition"]
- # 每个节点都应有 _node_help；asr 每个参数都有 _note_。
- for node in definition["nodes"]:
- assert "_node_help" in node["params"], f"{node['id']} 缺 _node_help"
- assert node["params"]["_node_help"] # 非空
- asr = next(node for node in definition["nodes"] if node["id"] == "asr")
- for key in ("_note_decode_full", "_note_vad_filter", "_note_chunk_seconds",
- "_note_condition_on_previous_text", "_note_beam_size"):
- assert key in asr["params"], f"asr 缺 {key}"
- # 理由需含正例/反例关键字（说明确实举例）。
- assert "正例" in asr["params"]["_note_decode_full"]
- assert "反例" in asr["params"]["_note_decode_full"]
-
-
-def test_learn_translate_notes_do_not_break_execution(tmp_path, monkeypatch) -> None:
- """验证带 _note_*/_node_help 的 params 传给 whisper 节点不影响执行。
-
- 节点只读取它认识的键（chunk_seconds/vad_filter/decode_full 等），
- 额外的说明键被忽略；伪造模型确认 transcribe 收到的正是修复后参数。
- """
- import sys
- import types
- from tests.test_nodes import FakeSegment, _install_fake_whisper, _whisper_request # 复用脚手架
-
- captured = {}
-
- class FullModel:
- def __init__(self, *args, **kwargs):
- pass
-
- def transcribe(self, path, **kwargs):
- captured["decode_full_effect"] = (
- kwargs.get("vad_filter") is False and kwargs.get("vad_parameters") is None
- )
- return ([FakeSegment(0, 1, "ok")], None)
-
- monkeypatch.setitem(
- sys.modules, "faster_whisper", types.SimpleNamespace(WhisperModel=lambda *a, **k: FullModel())
- )
- from nodes.whisper import invoke as whisper_invoke
- from wov_sdk.models import InvokeRequest
- import wave
- # 真实 WAV
- wav = tmp_path / "audio.wav"
- with wave.open(str(wav), "wb") as w:
- w.setnchannels(1); w.setsampwidth(2); w.setframerate(16000)
- w.writeframes(b"\x00\x00" * 16000)
- # 带 learn-translate 工作流 asr 的完整 params（含 _note_*/_node_help）
- learn = json.loads(LEARN.read_text(encoding="utf-8"))
- asr_params = next(n["params"] for n in learn["definition"]["nodes"] if n["id"] == "asr")
- resp = whisper_invoke(InvokeRequest(
- run_id="learn_test", node_instance_id="",
- inputs={"audio_uri": str(wav)},
- params=asr_params,
- output_dir=str(tmp_path / "out"),
- ))
- assert resp.status == "completed"
- assert captured["decode_full_effect"] is True # decode_full 生效且说明键被忽略不报错
- content = Path(resp.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert "ok" in content
diff --git a/tests/test_llm_default_model.py b/tests/test_llm_default_model.py
deleted file mode 100644
index da3d6ef..0000000
--- a/tests/test_llm_default_model.py
+++ /dev/null
@@ -1,203 +0,0 @@
-"""LLM 默认模型解析契约测试（切换默认模型只改数据/环境，不改代码）。
-
-背景
-----
-2026-09 评测结论（data/experiments/translate_models/REPORT.md）决定把翻译/过滤/
-纠错三类节点的**默认模型**从 `Qwen/Qwen3.6-35B-A3B` 换成 `Qwen/Qwen3.5-35B-A3B`
-（质量持平、速度 0.232 s/行，是基线档最快）。
-
-仓库约定"切换模型不改代码"：三个节点（llm-translate / llm-filter /
-subtitle-correction）的模型解析顺序都是
-`params["model"]` → 环境变量 `LLM_MODEL` → 兜底默认值。
-因此换默认模型 = 改 `.env` 的 `LLM_MODEL`（+ 文档），代码只在兜底默认值上同步。
-
-本测试锁定两件事，防止"改了 .env 但节点仍走旧模型"或"params 覆盖失效"：
-1. 环境变量 `LLM_MODEL` 能真正决定请求体里的 model（在 HTTP 边界观测真实请求）；
-2. `params["model"]` 优先级高于环境变量（工作流参数覆盖仍有效）。
-"""
-
-from __future__ import annotations
-
-import json
-from pathlib import Path
-
-import pytest
-
-from nodes import llm
-from wov_sdk.models import InvokeRequest
-
-
-def _capture_model(monkeypatch, run_id: str = "r") -> list[dict]:
- """在 HTTP 边界记录真实请求体，并返回正常结构响应（模型名取请求体的）。"""
- sent: list[dict] = []
-
- class Response:
- """最小可用的 OpenAI 兼容响应；内容由请求体推导，便于断言对齐。"""
-
- def __init__(self, body: dict):
- items = json.loads(body["messages"][1]["content"])
- self._payload = json.dumps(
- {
- "choices": [
- {
- "message": {
- "content": json.dumps(
- [{"id": i["id"], "text": "译文"} for i in items],
- ensure_ascii=False,
- )
- }
- }
- ],
- "usage": {"total_tokens": 1},
- }
- ).encode()
-
- def __enter__(self):
- return self
-
- def __exit__(self, *args):
- return False
-
- def read(self):
- return self._payload
-
- def open_request(request, **kwargs):
- body = json.loads(request.data)
- sent.append(body)
- return Response(body)
-
- monkeypatch.setattr("urllib.request.urlopen", open_request)
- return sent
-
-
-def test_env_model_决定请求体里的模型(monkeypatch, tmp_path: Path) -> None:
- """环境变量 LLM_MODEL 生效：旧模型默认值不会被写死进请求。
-
- 这是"改 .env 就换默认模型"的硬契约——若节点把默认模型写死在代码里，
- 本用例会因请求体仍是旧模型而失败。
- """
- monkeypatch.setenv("LLM_MODEL", "新默认/模型")
- source = tmp_path / "input.srt"
- source.write_text("1\n00:00:01,000 --> 00:00:02,000\nこんにちは\n", encoding="utf-8")
- sent = _capture_model(monkeypatch)
- response = llm.invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(source)}, output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert sent[0]["model"] == "新默认/模型"
-
-
-def test_params_model_优先于环境变量(monkeypatch, tmp_path: Path) -> None:
- """工作流 DAG 的 params.model 覆盖环境变量（切换模型是数据，不是环境依赖）。"""
- monkeypatch.setenv("LLM_MODEL", "环境/模型")
- source = tmp_path / "input.srt"
- source.write_text("1\n00:00:01,000 --> 00:00:02,000\nこんにちは\n", encoding="utf-8")
- sent = _capture_model(monkeypatch)
- response = llm.invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(source)}, params={"model": "工作流/模型"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert sent[0]["model"] == "工作流/模型"
-
-
-def test_纠错节点用独立环境变量不受全局模型影响() -> None:
- """纠错节点必须能用**独立**环境变量固定模型，不受全局 LLM_MODEL 控制。
-
- 回归（本次提交前实测）：该节点原先写的是 `os.getenv("LLM_MODEL", "旧模型")`
- ——`LLM_MODEL` 存在时（生产环境必有）兜底值永远不会被取到，
- 导致"有意保留旧模型"实际失效，真实 LLM 集成测试
- test_generic_correction_generalizes_to_unseen_mishearing 失败。
-
- 正确行为：`params.model` > `SUBTITLE_CORRECTION_MODEL` > `LLM_MODEL` > 兜底。
- 这样既保留全局一致（不设置该变量时），又能在该节点需要时单独固定模型。
- """
- import os
- from unittest import mock
-
- from nodes import subtitle_correction as sc
-
- entries = [{"start": 100.0, "end": 103.0, "text": "もっとマンゴーを舐めてください"}]
- sent: list[str] = []
-
- class Response:
- def __enter__(self):
- return self
-
- def __exit__(self, *args):
- return False
-
- def read(self):
- return json.dumps({"choices": [{"message": {"content": "请多舔舔我的小穴"}}]}).encode()
-
- def fake_open(request, *args, **kwargs):
- sent.append(json.loads(request.data)["model"])
- return Response()
-
- env = {"LLM_MODEL": "全局/模型", "SUBTITLE_CORRECTION_MODEL": "纠错/专用模型"}
- with mock.patch.object(urllib.request, "urlopen", fake_open), mock.patch.dict(os.environ, env):
- sc.correct_entry(entries[0], entries, 0, {})
- assert sent[-1] == "纠错/专用模型", "独立环境变量应优先于全局 LLM_MODEL"
- sc.correct_entry(entries[0], entries, 0, {"model": "参数/模型"})
- assert sent[-1] == "参数/模型", "params.model 优先级最高"
- # 未设置独立变量时退回全局 LLM_MODEL（保持单一全局配置能力）。
- with mock.patch.object(urllib.request, "urlopen", fake_open), mock.patch.dict(
- os.environ, {"LLM_MODEL": "全局/模型"}
- ):
- os.environ.pop("SUBTITLE_CORRECTION_MODEL", None)
- sc.correct_entry(entries[0], entries, 0, {})
- assert sent[-1] == "全局/模型"
-
-
-def test_兜底默认模型按节点职责分离() -> None:
- """翻译节点跟随 .env 的 LLM_MODEL；纠错节点保留旧默认（实测更优）。
-
- 2026-09 实测（同一误听泛化场景，各跑 4 次）：
- - `Qwen/Qwen3.6-35B-A3B`：4/4 正确推断（“小穴”）；
- - `Qwen/Qwen3.5-35B-A3B`：0/4（输出“阴道/曼果/曼戈”，字面直译）。
-
- 而翻译节点上新模型与旧模型逐条一致（1160 vs 1160，时间戳完全对齐）。
- 因此**不能三处同源**：翻译跟全局（.env），纠错独立保留旧模型；
- 过滤节点默认不调 LLM（use_llm=0），其兜底仅作启用时的默认值。
-
- 本用例锁定“分叉是有意为之”：翻译兜底必须与 .env 一致；纠错兜底必须
- 保留旧模型；三处都必须读 LLM_MODEL 环境变量（保留单点覆盖能力）。
- """
- import inspect
-
- from nodes import llm_filter, subtitle_correction
-
- env_model = None
- env_path = Path(__file__).resolve().parent.parent / ".env"
- if env_path.is_file():
- for line in env_path.read_text(encoding="utf-8").splitlines():
- if line.strip().startswith("LLM_MODEL=") and not line.strip().startswith("#"):
- env_model = line.split("=", 1)[1].strip()
- # 模型解析所在函数：翻译在 translate_lines、过滤在 _judge_category、
- # 纠错在 correct_entry。
- sources = {
- "llm-translate": inspect.getsource(llm.translate_lines),
- "llm-filter": inspect.getsource(llm_filter._judge_category),
- "subtitle-correction": inspect.getsource(subtitle_correction.correct_entry),
- }
- fallbacks = {}
- for name, src in sources.items():
- marker = 'os.getenv("LLM_MODEL", "'
- assert marker in src, f"{name} 未按约定读取 LLM_MODEL 环境变量"
- fallbacks[name] = src.split(marker, 1)[1].split('"', 1)[0]
- # 翻译节点跟随全局配置。
- if env_model:
- assert fallbacks["llm-translate"] == env_model, (
- f"翻译兜底 {fallbacks['llm-translate']} 与 .env 的 LLM_MODEL={env_model} 不一致"
- )
- assert fallbacks["llm-filter"] == env_model, "过滤节点兜底应与全局保持一致"
- # 纠错节点**有意**保留旧模型（实测新模型 0/4 vs 旧 4/4）。
- assert fallbacks["subtitle-correction"] == "Qwen/Qwen3.6-35B-A3B", (
- "纠错节点应保留旧默认（新模型在该节点泛化实测 0/4，明显劣化）"
- )
diff --git a/tests/test_llm_filter.py b/tests/test_llm_filter.py
deleted file mode 100644
index 29eae7e..0000000
--- a/tests/test_llm_filter.py
+++ /dev/null
@@ -1,822 +0,0 @@
-"""LLM 字幕过滤节点测试。
-
-覆盖：
-- SRT 解析/序列化（多行、末条无空行、重新编号）；
-- 确定性规则层（横线装饰、HTML/水印 token、URL、单双 ASCII 字符直接删，不调 LLM）；
-- LLM 五类分类判断（garbage/overlay/noise 删，repeat/dialogue 留，未识别回退保留）；
-- 文本去重（相同文本只调一次 LLM，上下文取首次出现，判定结果一致）；
-- 长文本保护（≥min_keep_len 时 noise 类不删，需明确垃圾类别）；
-- 真实任务 run_ac7f480a3ccb 留存数据回归（OCR 1666 条：垃圾删除、对话保留、时间轴单调、去重后 LLM 调用数）；
-- invoke 全链路与异常路径。
-"""
-
-import json
-import urllib.error
-from pathlib import Path
-
-import pytest
-
-from nodes.llm_filter import (
- DEFAULT_OVERLAY_TOKENS,
- _dedup_key,
- _judge_category,
- _rule_verdict,
- _should_delete,
- invoke,
- parse_srt,
- serialize_srt,
-)
-from wov_sdk.models import InvokeRequest
-
-# 4 条字幕的 SRT：第 3 条为"答："开头的无意义杂项，模拟 OCR 噪声。
-_SRT = (
- "1\n00:00:01,000 --> 00:00:04,000\n还有没有什么困扰\n\n"
- "2\n00:00:05,000 --> 00:00:08,000\n或者奇怪的地方吗\n\n"
- "3\n00:00:09,000 --> 00:00:12,000\n答：无意义杂项\n\n"
- "4\n00:00:13,000 --> 00:00:16,000\n第二句正常字幕\n"
-)
-
-# 真实任务 run_ac7f480a3ccb 的 OCR 输出（1666 条，2026-08 单线程 v4 跑完整 2 小时视频）。
-WORKSPACE = Path(__file__).resolve().parent.parent
-REAL_SRT = WORKSPACE / "testdata" / "ocr_srt_run_ac7f480a3ccb.srt"
-
-
-class FakeResponse:
- """模拟 urllib 响应：read() 返回 LLM 兼容接口的 JSON 载荷。"""
-
- def __init__(self, payload: bytes) -> None:
- self._payload = payload
-
- def read(self) -> bytes:
- return self._payload
-
- def __enter__(self):
- return self
-
- def __exit__(self, *args) -> bool:
- return False
-
-
-class FakeLLM:
- """模拟 LLM 兼容接口：记录请求体，按策略返回类别词。
-
- 支持两种策略：contents（按队列顺序，用于单次直调 _judge_category 的
- 确定性测试）或 decision_fn（按请求体内容决策，用于并发 invoke 测试，
- 保证任何线程执行顺序下判定结果都确定）。
- """
-
- def __init__(self, contents: list[str] | None = None, decision_fn=None) -> None:
- self._contents = list(contents) if contents is not None else None
- self._decision_fn = decision_fn
- self.bodies: list[dict] = []
- self.headers: list[dict] = []
-
- def __call__(self, request, timeout=None):
- body = json.loads(request.data.decode("utf-8"))
- self.bodies.append(body)
- self.headers.append(dict(request.headers))
- if self._decision_fn is not None:
- content = self._decision_fn(body)
- else:
- content = self._contents.pop(0)
- payload = json.dumps({"choices": [{"message": {"content": content}}]}).encode()
- return FakeResponse(payload)
-
-class FlakyLLM:
- """模拟限流/服务端错误：前 failures 次抛 HTTPError(429/503)，之后正常返回。
-
- 用于验证 _judge_category 的退避重试：429/5xx 时让出时间重试，配合
- 自适应线程池"慢响应减线程"弹性，让并发自动回落到限流配额内。
- """
-
- def __init__(self, failures: int, code: int = 429, answer: str = "dialogue") -> None:
- self.failures = failures
- self.code = code
- self.answer = answer
- self.calls = 0
- self.bodies: list[dict] = []
-
- def __call__(self, request, timeout=None):
- self.calls += 1
- self.bodies.append(json.loads(request.data.decode("utf-8")))
- if self.calls <= self.failures:
- raise urllib.error.HTTPError(
- request.full_url, self.code, "flaky", {}, None
- )
- payload = json.dumps(
- {"choices": [{"message": {"content": self.answer}}]}
- ).encode()
- return FakeResponse(payload)
-def _patch_llm(monkeypatch, contents: list[str] | None = None, decision_fn=None) -> FakeLLM:
- """替换 nodes.llm_filter 的 urlopen 为 FakeLLM 并返回实例。"""
- fake = FakeLLM(contents=contents, decision_fn=decision_fn)
- monkeypatch.setattr("nodes.llm_filter.urllib.request.urlopen", fake)
- return fake
-
-
-def _decision_by_target(body) -> str:
- """按目标字幕内容决策：含"答："判为 garbage，其余为 dialogue。"""
- target = next(
- line for line in body["messages"][1]["content"].splitlines()
- if line.startswith("【目标】")
- )
- return "garbage" if "答：" in target else "dialogue"
-
-
-# ---------------------------------------------------------------------------
-# SRT 解析 / 序列化
-# ---------------------------------------------------------------------------
-
-
-def test_parse_srt_multiline_and_last_block() -> None:
- """解析 SRT：多行文本与末条无空行结尾均能正确解析。"""
- text = (
- "1\n00:00:01,000 --> 00:00:04,000\n第一行\n第二行\n\n"
- "2\n00:00:05,000 --> 00:00:08,000\n末条无空行结尾\n"
- )
- entries = parse_srt(text)
- assert len(entries) == 2
- assert entries[0]["start"] == "00:00:01,000"
- assert entries[0]["end"] == "00:00:04,000"
- assert entries[0]["text"] == "第一行\n第二行"
- assert entries[1]["text"] == "末条无空行结尾"
-
-
-def test_serialize_srt_renumbers() -> None:
- """序列化：序号从 1 重新编号，保留原始时间轴。"""
- entries = [
- {"start": "00:00:09,000", "end": "00:00:12,000", "text": "答：无意义杂项"},
- {"start": "00:00:13,000", "end": "00:00:16,000", "text": "第二句正常字幕"},
- ]
- out = serialize_srt(entries)
- assert out == (
- "1\n00:00:09,000 --> 00:00:12,000\n答：无意义杂项\n\n"
- "2\n00:00:13,000 --> 00:00:16,000\n第二句正常字幕\n"
- )
-
-
-# ---------------------------------------------------------------------------
-# 确定性规则层
-# ---------------------------------------------------------------------------
-
-
-def test_rule_verdict_deletes_garbage_patterns() -> None:
- """规则层直接删除：横线装饰、HTML/水印 token、URL/邮箱、单双 ASCII 字符。"""
- tokens = {"html", "background", "___"}
- for text in (
- "---", "------", "------------------", "--- ---", "___", "= = =",
- "…", "・", "HTML", "html", "Background", "background", "___",
- "https://example.com/x", "www.example.com", "a@b.com",
- "A", "V", "1", "DQ", "P4",
- ):
- assert _rule_verdict(text, tokens) is True, text
- # 空文本/纯空白也删除。
- assert _rule_verdict(" ", tokens) is True
-
-
-def test_rule_verdict_passes_cjk_and_dialogue() -> None:
- """规则层不误伤：CJK 单字、正常对话、内容性短句交给 LLM 判断（None）。"""
- tokens = {"html"}
- for text in ("嗯", "好", "谢谢你 松井小姐", "不这么做的话 可没法胜任患者的对象", "好舒服"):
- assert _rule_verdict(text, tokens) is None, text
-
-
-def test_rule_verdict_custom_overlay_tokens() -> None:
- """overlay_tokens 参数化：自定义 token 同样直接删除。"""
- assert _rule_verdict("Cleaning", {"cleaning"}) is True
- assert _rule_verdict("Cleaning", set()) is None
-
-
-# ---------------------------------------------------------------------------
-# LLM 分类判断
-# ---------------------------------------------------------------------------
-
-
-def test_judge_category_window_and_dialogue(monkeypatch) -> None:
- """窗口只含纯文本（无时间戳）、目标带标记；模型答 dialogue 则保留。"""
- entries = parse_srt(_SRT)
- fake = _patch_llm(monkeypatch, ["dialogue"])
- # context_size=1，目标为第 2 条（index=1）：窗口 0..2 共 3 行，目标在中间。
- assert _judge_category(entries, 1, context_size=1, params={}) == "dialogue"
- body = fake.bodies[0]
- lines = body["messages"][1]["content"].splitlines()
- assert len(lines) == 3
- assert lines[0] == "还有没有什么困扰"
- assert lines[1] == "【目标】或者奇怪的地方吗"
- assert lines[2] == "答：无意义杂项"
- # 不含时间戳。
- assert "00:00" not in body["messages"][1]["content"]
- assert body["enable_thinking"] is False
- assert body["max_tokens"] == 16
-
-
-def test_judge_category_delete_classes(monkeypatch) -> None:
- """模型答 garbage/overlay/noise 时返回对应类别（删除类）。"""
- entries = parse_srt(_SRT)
- for cat in ("garbage", "overlay", "noise"):
- _patch_llm(monkeypatch, [cat])
- assert _judge_category(entries, 2, context_size=10, params={}) == cat
-def test_judge_category_sanitizes_noise_context(monkeypatch) -> None:
- """上下文净化：规则层可确定性识别的垃圾（横线/HTML 等）在喂给 LLM 前
- 替换为 [噪音] 占位，避免污染对目标条目的场景判断。
-
- 修复回归：OCR 输出中相邻字幕混有大量覆盖层垃圾（---------------、HTML、
- Marketing 等），原样进入 LLM 上下文会让模型误判整段为"水印覆盖层"，
- 把相邻的真实对话误删（run_011d01f19999 中 190 条含 ≥4 汉字的对话被删）。
- """
- entries = [
- {"start": "00:00:01,000", "end": "00:00:02,000", "text": "正常对话一"},
- {"start": "00:00:03,000", "end": "00:00:04,000", "text": "---------------"},
- {"start": "00:00:05,000", "end": "00:00:06,000", "text": "HTML"},
- {"start": "00:00:07,000", "end": "00:00:08,000", "text": "我是目标对话"},
- {"start": "00:00:09,000", "end": "00:00:10,000", "text": "---"},
- {"start": "00:00:11,000", "end": "00:00:12,000", "text": "正常对话二"},
- ]
- fake = _patch_llm(monkeypatch, ["dialogue"])
- assert _judge_category(entries, 3, context_size=10, params={}) == "dialogue"
- content = fake.bodies[0]["messages"][1]["content"]
- lines = content.splitlines()
- # 上下文只含过滤后的字幕：确定性垃圾条目被剔除，原文不进入 LLM。
- assert lines == ["正常对话一", "【目标】我是目标对话", "正常对话二"]
- assert "---------------" not in content
- assert "HTML" not in content
- assert "---" not in content
- # 系统提示词明确说明上下文已过滤装饰/水印符号。
- assert "过滤" in fake.bodies[0]["messages"][0]["content"]
-
-
-
-def test_judge_category_repeat_and_unknown_kept(monkeypatch) -> None:
- """repeat/dialogue 返回保留类；未识别输出（空/乱码/旧式"保留"）回退 dialogue。"""
- entries = parse_srt(_SRT)
- for answer in ("repeat", "dialogue", "", "???", "保留"):
- _patch_llm(monkeypatch, [answer])
- got = _judge_category(entries, 2, context_size=10, params={})
- assert got in ("repeat", "dialogue"), (answer, got)
- # 旧式"删除"回答兼容为垃圾类。
- _patch_llm(monkeypatch, ["删除"])
- assert _judge_category(entries, 2, context_size=10, params={}) == "garbage"
-
-
-def test_judge_category_model_and_auth(monkeypatch) -> None:
- """模型名从参数取；配置 API Key 时附带 Bearer 鉴权头。"""
- entries = parse_srt(_SRT)
- monkeypatch.setenv("LLM_API_KEY", "sk-test")
- fake = _patch_llm(monkeypatch, ["dialogue"])
- assert _judge_category(entries, 0, context_size=10, params={"model": "m/1"}) == "dialogue"
- assert fake.bodies[0]["model"] == "m/1"
- assert fake.headers[0]["Authorization"] == "Bearer sk-test"
-
-
-def test_judge_category_retries_on_429(monkeypatch) -> None:
- """429 限流时指数退避重试，最终成功判定（配合弹性把并发压回配额内）。"""
- entries = parse_srt(_SRT)
- fake = FlakyLLM(failures=2, answer="dialogue")
- monkeypatch.setattr("nodes.llm_filter.time.sleep", lambda s: None)
- monkeypatch.setattr("nodes.llm_filter.urllib.request.urlopen", fake)
- assert _judge_category(entries, 2, context_size=10, params={}) == "dialogue"
- assert fake.calls == 3 # 失败 2 次 + 成功 1 次。
-
-
-def test_judge_category_retries_on_5xx(monkeypatch) -> None:
- """服务端 5xx 同样退避重试。"""
- entries = parse_srt(_SRT)
- fake = FlakyLLM(failures=1, code=503, answer="dialogue")
- monkeypatch.setattr("nodes.llm_filter.time.sleep", lambda s: None)
- monkeypatch.setattr("nodes.llm_filter.urllib.request.urlopen", fake)
- assert _judge_category(entries, 2, context_size=10, params={}) == "dialogue"
- assert fake.calls == 2
-
-
-def test_judge_category_gives_up_after_retries(monkeypatch) -> None:
- """重试耗尽仍失败时抛错：该条判定失败，任务失败后可重新处理数据。"""
- entries = parse_srt(_SRT)
- fake = FlakyLLM(failures=99)
- monkeypatch.setattr("nodes.llm_filter.time.sleep", lambda s: None)
- monkeypatch.setattr("nodes.llm_filter.urllib.request.urlopen", fake)
- with pytest.raises(urllib.error.HTTPError):
- _judge_category(entries, 2, context_size=10, params={})
- assert fake.calls == 3 # 最多尝试 3 次。
-
-
-def test_judge_category_other_errors_no_retry(monkeypatch) -> None:
- """非 429/5xx 错误（如 400）不重试，直接抛出。"""
- entries = parse_srt(_SRT)
- fake = FlakyLLM(failures=1, code=400, answer="dialogue")
- monkeypatch.setattr("nodes.llm_filter.time.sleep", lambda s: None)
- monkeypatch.setattr("nodes.llm_filter.urllib.request.urlopen", fake)
- with pytest.raises(urllib.error.HTTPError):
- _judge_category(entries, 2, context_size=10, params={})
- assert fake.calls == 1 # 只调用一次。
-
-# ---------------------------------------------------------------------------
-# 去重键与删除判定
-# ---------------------------------------------------------------------------
-
-
-def test_dedup_key_normalizes_whitespace_and_case() -> None:
- """去重键：去掉全部空白并统一大小写，空格差异视为同一文本。"""
- assert _dedup_key("不这么做的话 可没法胜任患者的对象") == _dedup_key(
- "不这么做的话可没法胜任患者的对象"
- )
- assert _dedup_key("HTML") == _dedup_key("html")
- assert _dedup_key("你好 世界") != _dedup_key("你好世界2")
-
-
-def test_should_delete_by_category_only() -> None:
- """删除判定：garbage/overlay/noise 删，repeat/dialogue 留（短文本无保护）。"""
- assert _should_delete("garbage", "x", min_keep_len=12) is True
- assert _should_delete("overlay", "x", min_keep_len=12) is True
- assert _should_delete("noise", "x", min_keep_len=12) is True
- assert _should_delete("repeat", "x", min_keep_len=12) is False
- assert _should_delete("dialogue", "x", min_keep_len=12) is False
-
-
-def test_should_delete_long_text_noise_protected() -> None:
- """长文本保护：≥min_keep_len 时 noise 不删（LLM 判定不稳的兜底），
- garbage/overlay 仍删；短文本 noise 可删。
-
- 回归：移除保护后 run_011d01f19999 新增误删 124 条真实长对话
- （'很棒的表情呢 看 拍下来了吗' 等被 LLM 误判 noise），恢复保护。
- """
- long_text = "不这么做的话 可没法胜任患者的对象"
- assert _should_delete("noise", long_text, min_keep_len=12) is False
- assert _should_delete("garbage", long_text, min_keep_len=12) is True
- assert _should_delete("overlay", long_text, min_keep_len=12) is True
- assert _should_delete("noise", "答：无意义杂项", min_keep_len=12) is True
- assert _should_delete("repeat", long_text, min_keep_len=12) is False
- assert _should_delete("dialogue", long_text, min_keep_len=12) is False
-
-
-def test_rule_verdict_removes_domain_and_html_watermark() -> None:
- """正则确定性过滤：网址域名/HTML 水印等"一定需要移除"的模式直接删除。
-
- 覆盖真实案例：'98室[巴花堂] 水火地址 489155.com'（广告）、
- 'HTML code for a simple blue background'（OCR 识别出的网页水印）。
- """
- tokens = set(DEFAULT_OVERLAY_TOKENS)
- for text in (
- "98室[巴花堂] 水火地址 489155.com",
- "HTML code for a simple blue background",
- "http://example.com/path",
- "联系我们 admin@example.com",
- ):
- assert _rule_verdict(text, tokens) is True, text
- # 正常对话不含垃圾模式 → 交 LLM 判断。
- assert _rule_verdict("青沼君 好可爱", tokens) is None
- assert _rule_verdict("再见了 再见", tokens) is None
-
-
-# ---------------------------------------------------------------------------
-# invoke 全链路
-# ---------------------------------------------------------------------------
-
-
-def test_invoke_filters_and_renumbers(monkeypatch, tmp_path) -> None:
- """全链路（并发）：按 LLM 类别判定删除无意义条，保留条重新编号输出。"""
- srt = tmp_path / "in.srt"
- srt.write_text(_SRT, encoding="utf-8")
- # 内容决策：目标字幕含"答："判 garbage，其余 dialogue（任何线程顺序下结果确定）。
- _patch_llm(monkeypatch, decision_fn=_decision_by_target)
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert response.outputs["kept"] == 3
- assert response.outputs["removed"] == 1
- out = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert out.count("-->") == 3
- # 被删除的"答：无意义杂项"（第 3 条）时间轴不再出现。
- assert "00:00:09,000" not in out
- # 保留条重新编号且时间轴不变。
- assert out.startswith("1\n00:00:01,000 --> 00:00:04,000\n还有没有什么困扰\n\n2\n")
- assert "00:00:13,000 --> 00:00:16,000\n第二句正常字幕\n" in out
-
-
-def test_invoke_rules_skip_llm(monkeypatch, tmp_path) -> None:
- """规则层命中时直接删除且不调用 LLM：横线/HTML/单字符全部清理。"""
- srt = tmp_path / "in.srt"
- srt.write_text(
- "1\n00:00:01,000 --> 00:00:04,000\n---\n\n"
- "2\n00:00:05,000 --> 00:00:08,000\nHTML\n\n"
- "3\n00:00:09,000 --> 00:00:12,000\nV\n\n"
- "4\n00:00:13,000 --> 00:00:16,000\n正常对话\n",
- encoding="utf-8",
- )
- fake = _patch_llm(monkeypatch, ["dialogue"])
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert response.outputs["kept"] == 1
- assert response.outputs["removed"] == 3
- assert len(fake.bodies) == 1 # 仅"正常对话"需 LLM，其余全走规则。
-
-
-def test_invoke_dedup_single_llm_call(monkeypatch, tmp_path) -> None:
- """去重：相同文本（含空格变体）只调一次 LLM，判定结果一致。"""
- srt = tmp_path / "in.srt"
- srt.write_text(
- "1\n00:00:01,000 --> 00:00:04,000\n好舒服\n\n"
- "2\n00:00:05,000 --> 00:00:08,000\n好 舒 服\n\n"
- "3\n00:00:09,000 --> 00:00:12,000\n好舒服\n\n"
- "4\n00:00:13,000 --> 00:00:16,000\n别的台词\n",
- encoding="utf-8",
- )
- fake = _patch_llm(monkeypatch, decision_fn=lambda body: "repeat")
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- # 2 个唯一文本（好舒服/别的台词）→ 恰好 2 次 LLM 调用。
- assert len(fake.bodies) == 2
- # repeat 类保留 → 4 条全部保留。
- assert response.outputs["kept"] == 4
- assert response.outputs["removed"] == 0
-
-
-def test_invoke_dedupe_disabled(monkeypatch, tmp_path) -> None:
- """dedupe=0 关闭去重：每个条目都调一次 LLM。"""
- srt = tmp_path / "in.srt"
- srt.write_text(
- "1\n00:00:01,000 --> 00:00:04,000\n同一句\n\n"
- "2\n00:00:05,000 --> 00:00:08,000\n同一句\n",
- encoding="utf-8",
- )
- fake = _patch_llm(monkeypatch, decision_fn=lambda body: "dialogue")
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"dedupe": "0", "use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert len(fake.bodies) == 2
-
-
-def test_invoke_context_size_param(monkeypatch, tmp_path) -> None:
- """context_size 参数生效：窗口大小=2×context_size+1（两端截断除外）。"""
- srt = tmp_path / "in.srt"
- srt.write_text(_SRT, encoding="utf-8")
- fake = _patch_llm(monkeypatch, decision_fn=_decision_by_target)
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"context_size": 1, "use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- # 找到目标为第 2 条（"或者奇怪的地方吗"）的请求体：窗口应含 3 行。
- body = next(
- b for b in fake.bodies
- if "【目标】或者奇怪的地方吗" in b["messages"][1]["content"]
- )
- window = body["messages"][1]["content"].splitlines()
- assert len(window) == 3
-
-
-def test_invoke_overlay_tokens_param(monkeypatch, tmp_path) -> None:
- """overlay_tokens 参数：自定义 token 走规则层删除，不调用 LLM。"""
- srt = tmp_path / "in.srt"
- srt.write_text(
- "1\n00:00:01,000 --> 00:00:04,000\nCleaning\n\n"
- "2\n00:00:05,000 --> 00:00:08,000\n正常对话\n",
- encoding="utf-8",
- )
- fake = _patch_llm(monkeypatch, decision_fn=lambda body: "dialogue")
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"overlay_tokens": ["cleaning"], "use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert response.outputs["removed"] == 1
- assert response.outputs["kept"] == 1
- assert len(fake.bodies) == 1 # 只判正常对话。
-
-
-def test_invoke_overlay_tokens_json_string(monkeypatch, tmp_path) -> None:
- """overlay_tokens 以 JSON 字符串形式传入（工作流参数常见形态）同样生效。"""
- srt = tmp_path / "in.srt"
- srt.write_text(
- "1\n00:00:01,000 --> 00:00:04,000\nXXLogo\n\n"
- "2\n00:00:05,000 --> 00:00:08,000\n正常对话\n",
- encoding="utf-8",
- )
- fake = _patch_llm(monkeypatch, ["dialogue"])
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"overlay_tokens": '["xxlogo", "xx"]', "use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert response.outputs["removed"] == 1
- assert response.outputs["kept"] == 1
- assert len(fake.bodies) == 1
-
-
-def test_invoke_missing_input(tmp_path) -> None:
- """缺少 srt_uri 时返回失败。"""
- response = invoke(
- InvokeRequest(run_id="r", node_instance_id="", inputs={}, output_dir=str(tmp_path))
- )
- assert response.status == "failed"
- assert "srt_uri" in response.error
-
-
-def test_invoke_file_missing(tmp_path) -> None:
- """srt 文件不存在时返回失败。"""
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(tmp_path / "none.srt")},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "failed"
- assert "not found" in response.error
-
-
-def test_invoke_llm_error(monkeypatch, tmp_path) -> None:
- """LLM 调用失败（网络错误）时返回 failed，不静默输出未过滤结果。"""
- srt = tmp_path / "in.srt"
- srt.write_text(_SRT, encoding="utf-8")
-
- def boom(request, timeout=None):
- raise urllib.error.URLError("llm down")
-
- monkeypatch.setattr("nodes.llm_filter.urllib.request.urlopen", boom)
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "failed"
- assert "llm down" in response.error
-def test_invoke_retries_rate_limited_entries(monkeypatch, tmp_path) -> None:
- """判定遇 429（限流）时临时降并发并对失败条目重试，最终正常完成。
-
- 自适应：多线程并发打到 SiliconFlow 配额线触发 429 时，worker 通知线程池
- report_failure 临时收紧最大并发，失败条目在收紧后重试一轮，避免整体失败
- （run_011d01f19999 在 20 并发下因 429 重试耗尽而 FAILED 的修复）。
- """
- srt = tmp_path / "in.srt"
- srt.write_text(
- "1\n00:00:01,000 --> 00:00:04,000\n第一句对话\n\n"
- "2\n00:00:05,000 --> 00:00:08,000\n---------------\n\n"
- "3\n00:00:09,000 --> 00:00:12,000\n第二句对话\n\n"
- "4\n00:00:13,000 --> 00:00:16,000\nHTML\n",
- encoding="utf-8",
- )
- # 前 3 次调用都 429（重试耗尽抛错），之后成功：首次 map 部分条目失败，
- # 二次重试在降并发后成功。
- fake = FlakyLLM(failures=3, answer="dialogue")
- monkeypatch.setattr("nodes.llm_filter.time.sleep", lambda s: None)
- monkeypatch.setattr("nodes.llm_filter.urllib.request.urlopen", fake)
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- kept = parse_srt((tmp_path / "out" / "filtered.srt").read_text(encoding="utf-8"))
- assert [e["text"] for e in kept] == ["第一句对话", "第二句对话"]
- assert fake.calls >= 5 # 首次 map + 二次重试均有调用。
-
-
-
-def test_invoke_empty_srt(monkeypatch, tmp_path) -> None:
- """空 SRT（无条目）正常完成，输出空文件且不调用 LLM。"""
- srt = tmp_path / "empty.srt"
- srt.write_text("", encoding="utf-8")
- fake = _patch_llm(monkeypatch, [])
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert response.outputs["kept"] == 0
- assert response.outputs["removed"] == 0
- assert fake.bodies == []
-
-
-# ---------------------------------------------------------------------------
-# 真实任务留存数据回归（testdata/ocr_srt_run_ac7f480a3ccb.srt）
-# ---------------------------------------------------------------------------
-
-
-def test_real_run_rules_and_dialogue_regression(monkeypatch, tmp_path) -> None:
- """真实数据回归：规则层清理垃圾、对话保留、时间轴单调、去重生效。
-
- 夹具为 run_ac7f480a3ccb（单线程 v4 跑完整 2 小时视频）的 OCR 输出 1666 条。
- 假 LLM 对非规则条目一律答 dialogue：验证规则层删掉全部垃圾（横线/水印/
- 单字符），真实对话全部保留，且相同文本只调一次 LLM（去重）。
- """
- srt = REAL_SRT
- if not srt.is_file():
- pytest.skip("缺少 testdata/ocr_srt_run_ac7f480a3ccb.srt，跳过回归测试")
- fake = _patch_llm(monkeypatch, decision_fn=lambda body: "dialogue")
- # 显式开启 LLM 层（默认已关闭，本用例验证的是"规则层+LLM 层"的旧行为）。
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"use_llm": "1"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
-
- entries = parse_srt(srt.read_text(encoding="utf-8"))
- out = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
-
- # 规则层删除量 = 夹具中直接命中规则文本的条数（真实数据动态计算）。
- # 规则层删除量 = 夹具中直接命中规则文本的条数（与 invoke 默认 token 集一致）。
- from nodes.llm_filter import DEFAULT_OVERLAY_TOKENS
-
- tokens = set(DEFAULT_OVERLAY_TOKENS)
- rule_removed = sum(
- 1 for e in entries if _rule_verdict(e["text"], tokens) is True
- )
- assert response.outputs["removed"] == rule_removed
- assert response.outputs["kept"] == len(entries) - rule_removed
-
- # 垃圾全部清出输出（横线、HTML、单字符都不再出现；只检查文本字段，
- # 排除 SRT 的序号行与时间轴行）。
- for entry in parse_srt(out):
- assert _rule_verdict(entry["text"], tokens) is not True, entry["text"]
- # 真实对话保留（修复前被误删的自我介绍、请求对话、呻吟内容行）。
- # 注意：片头标题卡（淫魔病院…）真实 LLM 判为 overlay（烧录标题），
- # 不在必保留列表内；本测试假 LLM 一律答 dialogue，仅验证机制正确。
- for kept_line in (
- "谢谢你 松井小姐",
- "我姓泷本 请多多指教",
- "不这么做的话 可没法胜任患者的对象",
- "你要看着北冈小姐的脸 你们俩相互看看嘛",
- "好舒服",
- ):
- assert kept_line in out, kept_line
-
- # 时间轴单调递增（输出顺序即时间顺序）。
- times = []
- for m in __import__("re").finditer(
- r"(\d{2}:\d{2}:\d{2},\d{3})\s*-->", out
- ):
- t = m.group(1).replace(",", ".")
- h, mi, s = t.split(":")
- times.append(int(h) * 3600 + int(mi) * 60 + float(s))
- assert all(a < b for a, b in zip(times, times[1:]))
-
- # 去重：LLM 调用数 == 非规则条目中的唯一文本数（远小于条目数）。
- unique_llm = len({
- _dedup_key(e["text"])
- for e in entries
- if _rule_verdict(e["text"], tokens) is None
- })
- assert len(fake.bodies) == unique_llm
- assert len(fake.bodies) < len(entries) # 去重确实省调用。
-
-
-class _FailOnTarget429:
- """模拟持续限流：目标字幕含指定词时恒抛 429，其余正常返回 dialogue。
-
- 用于构造"部分条目成功、个别条目持续 429"的断点重跑场景：第一次 invoke
- 整体失败但成功条目已写存档；解除限流后第二次 invoke 只重判失败条目。
- """
-
- def __init__(self, marker: str) -> None:
- self.marker = marker
- self.enabled = True
- self.bodies: list[dict] = []
-
- def __call__(self, request, timeout=None):
- body = json.loads(request.data.decode("utf-8"))
- self.bodies.append(body)
- target = next(
- line for line in body["messages"][1]["content"].splitlines()
- if line.startswith("【目标】")
- )
- if self.enabled and self.marker in target:
- raise urllib.error.HTTPError(request.full_url, 429, "rate limited", {}, None)
- payload = json.dumps({"choices": [{"message": {"content": "dialogue"}}]}).encode()
- return FakeResponse(payload)
-
-
-def _llm_invoke(srt_text: str, out: Path) -> tuple[object, Path]:
- """用给定 SRT 文本构造并执行一次 llm-filter invoke，返回 (响应, 输入文件)。
-
- 该辅助函数专供 LLM 分类层用例使用，因此显式开启 use_llm（默认关闭）。"""
- srt = out.parent / "in.srt"
- srt.write_text(srt_text, encoding="utf-8")
- return (
- invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"srt_uri": str(srt)},
- params={"use_llm": "1"},
- output_dir=str(out),
- )
- ),
- srt,
- )
-
-
-def test_load_and_append_partial(tmp_path) -> None:
- """判定存档读写：无存档/损坏行跳过，追加后可读回。"""
- from nodes.llm_filter import _PARTIAL_NAME, _append_partial, _load_partial
-
- out = tmp_path / "out"
- assert _load_partial(out) == {} # 目录不存在 → 空。
- out.mkdir()
- assert _load_partial(out) == {} # 无存档 → 空。
- # 损坏行（半行写入）跳过，正常行读回。
- (out / _PARTIAL_NAME).write_text(
- '{"index": 0, "category": "dialogue"}\n\n{broken\n{"index": 3, "category": "garbage"}\n',
- encoding="utf-8",
- )
- assert _load_partial(out) == {0: "dialogue", 3: "garbage"}
- # 追加一条后读回。
- _append_partial(out, 5, "overlay")
- assert _load_partial(out)[5] == "overlay"
-
-
-def test_invoke_resume_skips_archived_judgments(monkeypatch, tmp_path) -> None:
- """断点存档：已判定条目重跑时不重复调用 LLM（去重后只补判未判定）。"""
- fake = _patch_llm(monkeypatch, contents=["dialogue"] * 4)
- out = tmp_path / "out"
- out.mkdir()
- # 预置存档：索引 0、1 已判定（模拟上次失败前已完成的部分）。
- from nodes.llm_filter import _append_partial
-
- _append_partial(out, 0, "dialogue")
- _append_partial(out, 1, "dialogue")
- response, _srt = _llm_invoke(_SRT, out)
- assert response.status == "completed", response.error
- # 4 条唯一文本中 2 条已存档，只调用剩余 2 条。
- assert len(fake.bodies) == 2
- # 输出与全量判定一致：全部 dialogue → 4 条都保留。
- assert response.outputs["kept"] == 4
- assert Path(response.outputs["srt_uri"]).read_text(encoding="utf-8").count("-->") == 4
-
-
-def test_invoke_partial_failure_then_resume(monkeypatch, tmp_path) -> None:
- """真实断点重跑：个别条目持续 429 → 整体失败但成功判定已写存档，
- 解除限流后重跑只补判失败条目，最终产物与一次跑完一致。"""
- fake = _FailOnTarget429(marker="无意义")
- monkeypatch.setattr("nodes.llm_filter.urllib.request.urlopen", fake)
- monkeypatch.setattr("nodes.llm_filter.time.sleep", lambda s: None)
- out = tmp_path / "out"
- first, _srt = _llm_invoke(_SRT, out)
- assert first.status == "failed"
- assert "429" in (first.error or "")
- calls_first = len(fake.bodies)
- # 成功判定的 3 条已写存档；持续 429 的"答：无意义杂项"（索引 2）不在存档。
- from nodes.llm_filter import _load_partial
-
- partial = _load_partial(out)
- assert 2 not in partial
- assert len(partial) == 3
- # 解除限流后重跑：只补判失败条目（1 次调用），其余复用存档。
- fake.enabled = False
- second, _srt = _llm_invoke(_SRT, out)
- assert second.status == "completed", second.error
- assert len(fake.bodies) == calls_first + 1
- # 输出：解除限流后全部判定为 dialogue → 4 条都保留（与"一次跑完"一致）。
- out_text = Path(second.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert out_text.count("-->") == 4
- assert "00:00:09,000" in out_text
diff --git a/tests/test_llm_filter_rule_only.py b/tests/test_llm_filter_rule_only.py
deleted file mode 100644
index 7ebbe17..0000000
--- a/tests/test_llm_filter_rule_only.py
+++ /dev/null
@@ -1,196 +0,0 @@
-"""llm-filter 规则层扩展与 LLM 层默认关闭（2026-09 决策）。
-
-背景与数据（真实任务 run_ac7f480a3ccb，1666 条 OCR 输出）
-----------------------------------------------------------
-逐类人工审查后确认 LLM 五类分类层**性价比为负**：
-
-- 规则层删除 782 条（47%），几乎全对（`---`/`HTML`/`___`/`Cleaning`/编号等）；
-- LLM 层额外删除 131 条，其中 **73 条（56%）是真实对话**
- （`好好教育她一番吧`/`腿不要合上`/`差不多想要肉棒了吧`/`这家医院 为VIP患者提供了特别服务` 等）；
-- 它真正抓到而规则层抓不到的仅 58 条，其中大半是可正则化的水印残余
- （`SPHO-1`/`PHO一号馆`/`ITMMA PRO`/`（出演）`/日期），剩余价值 <20 条；
-- `repeat` 类别形同虚设（67 条判定、0 条删除），长文本保护等五套补丁机制
- 全部是在给不稳定的分类器兜底。
-
-因此本次改动：
-1. **把 LLM 层没抓到、但可确定性识别的模式下沉到规则层**（水印编号、
- 日期、VLM 提示泄漏、演员标注括号）；
-2. **LLM 分类层默认关闭**（`use_llm` 参数，默认关），只保留规则层；
- 需要时可按工作流参数显式打开。
-
-保留 884 条而不是 588 条，多出的条目里可能混有水印残余，但**不再误删真对话**。
-"""
-
-from __future__ import annotations
-
-import json
-from pathlib import Path
-
-from nodes.llm_filter import (
- DEFAULT_OVERLAY_TOKENS,
- _rule_verdict,
- invoke,
- parse_srt,
-)
-from wov_sdk.models import InvokeRequest
-
-WORKSPACE = Path(__file__).resolve().parent.parent
-# 真实 OCR 回归数据（1699 行 1666 条），用于量化"规则层不误删对话"。
-REAL_OCR = WORKSPACE / "testdata/ocr_srt_run_ac7f480a3ccb.srt"
-
-
-# ---------------------------------------------------------------------------
-# 规则层扩展：原 LLM 层抓到、但可确定性识别的模式
-# ---------------------------------------------------------------------------
-
-
-def test_rule_层删除水印编号() -> None:
- """VLM 把画面水印编号识别成短串（SPHO-1/PHO一号馆/NO.1专用）→ 规则层删除。"""
- tokens = set(DEFAULT_OVERLAY_TOKENS)
- for text in (
- "SPH", "SP10+", "SP10-1型", "SPH-1专用", "SPIO-1 FEB", "NO.1专用",
- "PHD-手術", "P10一手机", "PHD一专用", "PH0一1瓶盖", "PHO一号馆",
- "SPHO一专用", "SPHO-1", "SPNO-1",
- ):
- assert _rule_verdict(text, tokens) is True, text
- # 反例：正常英文/编号样式的真实对白不受影响（含 CJK 或较长英文短语）。
- for text in ("青沼君 好可爱", "再见了 再见", "SPA 的感觉真好"):
- assert _rule_verdict(text, tokens) is None, text
-
-
-def test_rule_层删除日期与编号型乱码() -> None:
- """OCR 把画面日期/时间戳识别成条目（2011-11-27、4.0）→ 规则层删除。"""
- tokens = set(DEFAULT_OVERLAY_TOKENS)
- for text in ("2011-11-27", "2011/11/27", "2011年11月27日", "4.0", "2.0"):
- assert _rule_verdict(text, tokens) is True, text
- # 反例：含汉字的日期/数值样式不删（可能是真实内容）。
- for text in ("10月14岁", "应该有 4.0 就好了"):
- assert _rule_verdict(text, tokens) is None, text
-
-
-def test_rule_层删除VLM提示泄漏() -> None:
- """VLM（glm-ocr）偶尔把系统性提示词回显成识别文本 → 规则层删除。"""
- tokens = set(DEFAULT_OVERLAY_TOKENS)
- for text in (
- "No text is visible in the provided image.",
- "The image is blurry and does not contain",
- "no text visible",
- ):
- assert _rule_verdict(text, tokens) is True, text
- # 反例：正常英文对白（含 CJK 上下文）不受影响。
- assert _rule_verdict("谢谢你 松井小姐", tokens) is None
-
-
-def test_rule_层只删除角色标注_不删除括号内名字() -> None:
- """只删角色标注词（（出演））；括号内的名字/对白**保留**（避免误删）。
-
- 实测数据里（北冈果林）这类演员名括号与"（小声）不要啊"无法用正则可靠
- 区分，而前者本身是无害字幕文本、删除收益极小，因此宁可全留。
- """
- tokens = set(DEFAULT_OVERLAY_TOKENS)
- for text in ("（出演）", "(主演)", "（监督）"):
- assert _rule_verdict(text, tokens) is True, text
- for text in ("（北冈果林）", "(叶山小百合)", "（松井日奈子）", "（我该怎么办）", "（小声）不要啊"):
- assert _rule_verdict(text, tokens) is None, text
-
-
-# ---------------------------------------------------------------------------
-# LLM 层默认关闭
-# ---------------------------------------------------------------------------
-
-
-def test_规则层不误删真实对话() -> None:
- """真实数据回归：规则层保留全部含 CJK 的对话条，不误删。
-
- 这是本次改动的核心不变式——旧实现（规则+LLM）会删掉 73 条真对话，
- 新规则层必须一条都不删。用真实 1666 条 OCR 输出验证。
- """
- if not REAL_OCR.is_file():
- import pytest
-
- pytest.skip("真实 OCR 回归数据缺失")
- import re
-
- entries = parse_srt(REAL_OCR.read_text(encoding="utf-8"))
- tokens = set(DEFAULT_OVERLAY_TOKENS)
- deleted_dialogue = []
- for entry in entries:
- text = entry["text"]
- # 含 >=4 汉字、且不是明显编号/水印形态的，视为真实对话。
- if len(re.findall(r"[\u4e00-\u9fff]", text)) >= 4 and not re.match(
- r"^(?:98|SPH|SPHO|SPIO|SPNO|SP10|PHO|PH0|PHD|P10|NO\.|\d)", text
- ):
- if _rule_verdict(text, tokens) is True:
- deleted_dialogue.append(text)
- assert not deleted_dialogue, f"规则层误删真实对话: {deleted_dialogue[:10]}"
-
-
-def test_invoke_默认不调用LLM(monkeypatch, tmp_path) -> None:
- """默认（不传 use_llm）不调用 LLM：规则层外的一律保留，不做分类判定。"""
- calls: list[object] = []
-
- def _boom(*args, **kwargs):
- calls.append(args)
- raise AssertionError("默认配置不应调用 LLM")
-
- monkeypatch.setattr("urllib.request.urlopen", _boom)
- source = tmp_path / "in.srt"
- source.write_text(
- "1\n00:00:01,000 --> 00:00:02,000\n---\n\n"
- "2\n00:00:03,000 --> 00:00:04,000\n好好教育她一番吧\n\n"
- "3\n00:00:05,000 --> 00:00:06,000\nSPHO-1\n",
- encoding="utf-8",
- )
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="", inputs={"srt_uri": str(source)},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert not calls, "默认不应有任何 LLM 调用"
- text = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert "好好教育她一番吧" in text # 真实对话保留
- assert "SPHO-1" not in text # 水印编号由规则层删除
- assert response.outputs["kept"] == 1
- assert response.outputs["removed"] == 2
-
-
-def test_invoke_use_llm开启时仍走分类(monkeypatch, tmp_path) -> None:
- """显式 use_llm=1 时保留原 LLM 分类能力（可回退到旧行为）。"""
- sent: list[dict] = []
-
- class Response:
- def __init__(self):
- self._payload = json.dumps(
- {"choices": [{"message": {"content": "garbage"}}]}
- ).encode()
-
- def __enter__(self):
- return self
-
- def __exit__(self, *a):
- return False
-
- def read(self):
- return self._payload
-
- def _open(request, **kwargs):
- sent.append(json.loads(request.data))
- return Response()
-
- monkeypatch.setattr("urllib.request.urlopen", _open)
- source = tmp_path / "in.srt"
- source.write_text(
- "1\n00:00:01,000 --> 00:00:02,000\n好好教育她一番吧\n",
- encoding="utf-8",
- )
- response = invoke(
- InvokeRequest(
- run_id="r", node_instance_id="", inputs={"srt_uri": str(source)},
- params={"use_llm": "1"}, output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert sent, "use_llm=1 时应调用 LLM"
- assert response.outputs["kept"] == 0 # LLM 判 garbage → 删除
diff --git a/tests/test_maintenance.py b/tests/test_maintenance.py
deleted file mode 100644
index 39188ef..0000000
--- a/tests/test_maintenance.py
+++ /dev/null
@@ -1,197 +0,0 @@
-"""孤儿数据清理器测试。
-
-覆盖 COMPLETED 无文件任务的删除、各类保留分支（有文件/失败/宽限期内）、
-无任务记录的残留目录清理、清理线程启停以及防御性分支。
-"""
-
-from datetime import datetime, timezone
-from pathlib import Path
-
-from wov_app.db import Database
-from wov_app.maintenance import OrphanCleaner
-
-
-def _db(tmp_path) -> Database:
- """在临时目录创建独立数据库。"""
- return Database(tmp_path / "wov.db")
-
-
-def _make_run(db, run_id, status="COMPLETED", updated="2020-01-01T00:00:00+00:00", input_uri=None):
- """创建指定状态与更新时间的工作流任务记录。"""
- db.upsert_workflow({"id": "flow", "name": "F", "published": 1, "latest_version": 1})
- db.create_run(
- {
- "id": run_id,
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": status,
- "progress": 1,
- "input_uri": input_uri,
- "created_at": updated,
- "updated_at": updated,
- }
- )
-
-
-def _now_iso() -> str:
- """返回当前 UTC 时间的 ISO 字符串。"""
- return datetime.now(timezone.utc).isoformat()
-
-
-def test_cleaner_removes_completed_orphan_run(tmp_path) -> None:
- """验证 COMPLETED 且无任何产物文件、超过宽限期的任务被整体清理。"""
- db = _db(tmp_path)
- upload_dir = tmp_path / "storage" / "uploads" / "run_orphan"
- upload_dir.mkdir(parents=True)
- upload_file = upload_dir / "in.mp4"
- upload_file.write_bytes(b"x")
- _make_run(db, "run_orphan", input_uri=str(upload_file))
- db.create_artifact(
- {
- "run_id": "run_orphan",
- "node_id": "asr",
- "name": "asr.srt_uri",
- "uri": str(tmp_path / "storage" / "runs" / "run_orphan" / "out.srt"),
- "mime_type": "application/x-subrip",
- "size": 1,
- }
- )
- cleaner = OrphanCleaner(db, tmp_path / "storage", grace_seconds=3600)
- assert cleaner.clean_once() == 1
- assert db.get_run("run_orphan") is None
- assert db.list_artifacts("run_orphan") == []
- assert not upload_dir.exists()
-
-
-def test_cleaner_keeps_completed_run_with_files(tmp_path) -> None:
- """验证仍有产物文件的 COMPLETED 任务不会被清理。"""
- db = _db(tmp_path)
- steps = tmp_path / "storage" / "runs" / "run_keep"
- (steps / "asr").mkdir(parents=True)
- (steps / "asr" / "out.srt").write_text("1\n00:00:00,000 --> 00:00:01,000\nok\n", encoding="utf-8")
- _make_run(db, "run_keep")
- cleaner = OrphanCleaner(db, tmp_path / "storage", grace_seconds=3600)
- assert cleaner.clean_once() == 0
- assert db.get_run("run_keep") is not None
-
-
-def test_cleaner_keeps_failed_and_recent_runs(tmp_path) -> None:
- """验证 FAILED 任务与宽限期内的任务都不会被自动清理。"""
- db = _db(tmp_path)
- _make_run(db, "run_failed", status="FAILED")
- _make_run(db, "run_recent", updated=_now_iso())
- cleaner = OrphanCleaner(db, tmp_path / "storage", grace_seconds=3600)
- assert cleaner.clean_once() == 0
- assert db.get_run("run_failed") is not None
- assert db.get_run("run_recent") is not None
-
-
-def test_cleaner_removes_dangling_dirs_only(tmp_path) -> None:
- """验证无任务记录的残留目录被删除，已有任务的上传目录被保留。"""
- db = _db(tmp_path)
- ghost_upload = tmp_path / "storage" / "uploads" / "ghost"
- ghost_upload.mkdir(parents=True)
- ghost_steps = tmp_path / "storage" / "runs" / "ghost"
- ghost_steps.mkdir(parents=True)
- keep_upload = tmp_path / "storage" / "uploads" / "run_keep"
- keep_upload.mkdir(parents=True)
- (keep_upload / "in.mp4").write_bytes(b"x")
- # run_keep 存在产物文件，不属于孤儿任务。
- keep_steps = tmp_path / "storage" / "runs" / "run_keep" / "asr"
- keep_steps.mkdir(parents=True)
- (keep_steps / "out.srt").write_text("ok", encoding="utf-8")
- _make_run(db, "run_keep")
- cleaner = OrphanCleaner(db, tmp_path / "storage", grace_seconds=3600)
- assert cleaner.clean_once() == 2
- assert not ghost_upload.exists()
- assert not ghost_steps.exists()
- assert keep_upload.exists()
-
-
-def test_cleaner_removes_run_with_empty_steps_dir(tmp_path) -> None:
- """验证步骤目录存在但为空（无文件）时仍视为孤儿清理。"""
- db = _db(tmp_path)
- steps = tmp_path / "storage" / "runs" / "run_empty"
- (steps / "asr").mkdir(parents=True)
- _make_run(db, "run_empty", input_uri="")
- cleaner = OrphanCleaner(db, tmp_path / "storage", grace_seconds=3600)
- assert cleaner.clean_once() == 1
- assert db.get_run("run_empty") is None
- assert not steps.exists()
-
-
-def test_cleaner_skips_batch_runs(tmp_path) -> None:
- """批量处理运行（source=batch）跳过清理：绝不删除用户视频文件夹。
-
- 批量 run 的产物在用户视频旁的同名文件夹里，不在主存储目录下；若按普通
- 孤儿逻辑处理，_has_files 检查不到会误删记录，_remove_run 还会连带删除
- input_uri 的父目录（用户的整个视频文件夹）。
- """
- db = _db(tmp_path)
- video_folder = tmp_path / "my_videos"
- video_folder.mkdir()
- video = video_folder / "a.mp4"
- video.write_bytes(b"real")
- # 过期、COMPLETED、主存储无任何产物文件——普通任务会被清理的条件全满足。
- db.upsert_workflow({"id": "flow", "name": "F", "published": 1, "latest_version": 1})
- db.create_run(
- {
- "id": "run_batch",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "COMPLETED",
- "progress": 1,
- "input_uri": str(video),
- "source": "batch",
- "created_at": "2020-01-01T00:00:00+00:00",
- "updated_at": "2020-01-01T00:00:00+00:00",
- }
- )
- cleaner = OrphanCleaner(db, tmp_path / "storage", grace_seconds=3600)
- assert cleaner.clean_once() == 0
- assert db.get_run("run_batch") is not None
- assert video_folder.exists()
- assert video.exists()
-def test_cleaner_default_config_and_defensive_branches(tmp_path, monkeypatch) -> None:
- """验证默认配置构造、缺失/非法时间与缺失任务记录的防御分支。"""
- db = _db(tmp_path)
- # 默认配置（interval/grace 走 config 默认值）。
- cleaner = OrphanCleaner(db, tmp_path / "storage")
- assert cleaner.interval_seconds > 0
- assert cleaner.grace_seconds > 0
- # 无更新时间 / 非法时间均保守视为未过期。
- assert cleaner._expired(None) is False
- assert cleaner._expired("not-a-date") is False
- # 不存在的根目录直接返回 0。
- assert cleaner._clean_dangling(tmp_path / "missing", set()) == 0
- # list_run_ids 返回的 ID 在读取详情前已不存在时跳过。
- monkeypatch.setattr(db, "list_run_ids", lambda: ["ghost"])
- monkeypatch.setattr(db, "get_run", lambda run_id: None)
- assert cleaner.clean_once() == 0
-
-
-def test_cleaner_start_stop_loop(tmp_path) -> None:
- """验证清理线程可启动、周期执行并正常停止。"""
- import time
-
- db = _db(tmp_path)
- cleaner = OrphanCleaner(db, tmp_path / "storage", interval_seconds=0.05, grace_seconds=3600)
- cleaner.start()
- try:
- cleaner.start()
- time.sleep(0.2)
- finally:
- cleaner.stop()
- assert cleaner._thread is None
-
-
-def test_lifespan_starts_cleaner(monkeypatch) -> None:
- """验证启用清理器时应用生命周期会启动清理线程并随退出停止。"""
- from fastapi.testclient import TestClient
-
- from wov_app.main import app
-
- monkeypatch.setenv("WOV_CLEANUP_ENABLED", "1")
- with TestClient(app) as client:
- assert client.get("/health").status_code == 200
- assert app.state.cleaner._thread is not None
diff --git a/tests/test_models.py b/tests/test_models.py
deleted file mode 100755
index 3214685..0000000
--- a/tests/test_models.py
+++ /dev/null
@@ -1,174 +0,0 @@
-"""wov_sdk.models 的单元测试。
-
-测试覆盖所有数据模型的 JSON 往返序列化、字段校验和 manifest 文件加载，
-确保协议模型的稳定性。
-"""
-
-import json
-
-import pytest
-
-from wov_sdk.models import (
- HealthResponse,
- InvokeRequest,
- InvokeResponse,
- NodeManifest,
- ProgressEvent,
- WorkflowDefinition,
- WorkflowEdge,
- WorkflowNode,
-)
-
-
-def valid_manifest() -> NodeManifest:
- """构造一个覆盖全部字段的合法 NodeManifest，供测试复用。"""
- return NodeManifest(
- id="echo",
- name="Echo",
- version="1.0.0",
- capability="echo",
- command=["python", "-m", "echo"],
- repo_dir="wov-node-echo",
- env={"PORT": "0"},
- input_schema={"text": "string"},
- output_schema={"text": "string"},
- max_concurrency=2,
- idle_ttl_seconds=15,
- health_timeout_seconds=5,
- keep_warm=True,
- )
-
-
-def test_manifest_round_trip() -> None:
- """验证 manifest 经过 to_dict/from_dict 后保持原值。"""
- manifest = valid_manifest()
- restored = NodeManifest.from_dict(manifest.to_dict())
- assert restored == manifest
-
-
-@pytest.mark.parametrize(
- ("field", "value"),
- [
- ("id", ""),
- ("name", ""),
- ("version", ""),
- ("capability", ""),
- ("repo_dir", ""),
- ("command", []),
- ("max_concurrency", 0),
- ("idle_ttl_seconds", -1),
- ("health_timeout_seconds", 0),
- ],
-)
-def test_manifest_validation(field: str, value: object) -> None:
- """验证必填字段为空或数值越界时抛出 ValueError。"""
- manifest = valid_manifest()
- setattr(manifest, field, value)
- with pytest.raises(ValueError):
- manifest.validate()
-
-
-def test_manifest_load(tmp_path) -> None:
- """验证 NodeManifest.load 能从 JSON 文件读取并校验。"""
- path = tmp_path / "node.manifest.json"
- path.write_text(json.dumps(valid_manifest().to_dict()), encoding="utf-8")
- loaded = NodeManifest.load(str(path))
- assert loaded.id == "echo"
-
-
-def test_invoke_request_round_trip() -> None:
- """验证 InvokeRequest 的 JSON 往返序列化。"""
- request = InvokeRequest(
- run_id="run_1",
- node_instance_id="ni_1",
- inputs={"text": "hello"},
- params={"temperature": 0.2},
- output_dir="out",
- )
- restored = InvokeRequest.from_dict(request.to_dict())
- assert restored == request
-
-
-def test_invoke_response_round_trip() -> None:
- """验证 InvokeResponse 的 JSON 往返序列化。"""
- response = InvokeResponse(status="completed", outputs={"text": "hello"})
- restored = InvokeResponse.from_dict(response.to_dict())
- assert restored == response
-
-
-def test_health_and_progress_serialization() -> None:
- """验证健康检查和进度事件模型的字典输出。"""
- health = HealthResponse(status="ok", node_id="echo", version="1.0.0")
- assert health.to_dict() == {
- "status": "ok",
- "node_id": "echo",
- "version": "1.0.0",
- }
-
- progress = ProgressEvent(run_id="run_1", node_id="echo", progress=0.5, message="half")
- assert progress.to_dict() == {
- "run_id": "run_1",
- "node_id": "echo",
- "progress": 0.5,
- "message": "half",
- }
-
-
-def test_workflow_node_and_edge_round_trip() -> None:
- """验证工作流节点与边的 JSON 往返序列化。"""
- node = WorkflowNode(
- id="asr",
- node_type="faster-whisper",
- params={"language": "ja"},
- inputs={"audio_uri": "extract.audio_uri"},
- )
- edge = WorkflowEdge(from_node="extract", to_node="asr")
- assert WorkflowNode.from_dict(node.to_dict()) == node
- assert WorkflowEdge.from_dict(edge.to_dict()) == edge
- assert edge.to_dict() == {"from": "extract", "to": "asr"}
-
- assert node.to_dict()["inputs"] == {"audio_uri": "extract.audio_uri"}
-
-
-def test_workflow_definition_round_trip_and_validation() -> None:
- """验证完整 DAG 定义可往返序列化并通过校验。"""
- definition = WorkflowDefinition(
- name="demo",
- version=1,
- nodes=[
- WorkflowNode(id="extract", node_type="ffmpeg"),
- WorkflowNode(id="asr", node_type="whisper"),
- ],
- edges=[WorkflowEdge(from_node="extract", to_node="asr")],
- entry_inputs={"video_uri": "file"},
- final_outputs={"srt": "asr.srt_uri"},
- )
- restored = WorkflowDefinition.from_dict(definition.to_dict())
- assert restored == definition
- restored.validate()
-
-
-def test_workflow_definition_invalid() -> None:
- """验证非法 DAG（空名、版本为 0、重复节点、未知边）被拒绝。"""
- with pytest.raises(ValueError):
- WorkflowDefinition(name="", version=1).validate()
-
- with pytest.raises(ValueError):
- WorkflowDefinition(name="demo", version=0).validate()
-
- duplicate = WorkflowDefinition(
- name="demo",
- version=1,
- nodes=[WorkflowNode(id="a", node_type="x"), WorkflowNode(id="a", node_type="y")],
- )
- with pytest.raises(ValueError):
- duplicate.validate()
-
- unknown_edge = WorkflowDefinition(
- name="demo",
- version=1,
- nodes=[WorkflowNode(id="a", node_type="x")],
- edges=[WorkflowEdge(from_node="a", to_node="missing")],
- )
- with pytest.raises(ValueError):
- unknown_edge.validate()
diff --git a/tests/test_nodes.py b/tests/test_nodes.py
deleted file mode 100644
index ac2200c..0000000
--- a/tests/test_nodes.py
+++ /dev/null
@@ -1,1564 +0,0 @@
-"""进程内节点测试。
-
-合并原 5 个节点仓库的测试：echo、ffmpeg、whisper、llm、ass。节点已变为
-进程内模块（nodes/*.py），移除了原入口点（__main__/run_node）相关测试。
-"""
-
-import base64
-import json
-import subprocess
-import sys
-import threading
-import types
-import urllib.error
-import urllib.request
-from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
-from pathlib import Path
-
-from nodes.ass import invoke as ass_invoke
-from nodes.ass import parse_srt, write_ass
-from nodes.echo import invoke as echo_invoke
-from nodes.ffmpeg import _ffmpeg_bin, invoke as ffmpeg_invoke
-from nodes.llm import invoke as llm_invoke
-from nodes.llm import translate_lines
-from nodes.whisper import format_timestamp
-from nodes.whisper import invoke as whisper_invoke
-from nodes.whisper import resolve_model_path
-from wov_sdk.models import InvokeRequest
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-
-# ---------------------------------------------------------------------------
-# Echo 节点
-# ---------------------------------------------------------------------------
-
-
-def test_echo_invoke_text(tmp_path) -> None:
- """验证直接传入 text 时 echo 节点原样写出文本。"""
- response = echo_invoke(
- InvokeRequest(
- run_id="run_1",
- node_instance_id="ni_1",
- inputs={"text": "hello echo"},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "completed"
- assert response.outputs["text"] == "hello echo"
- assert Path(response.outputs["file_uri"]).read_text(encoding="utf-8") == "hello echo"
-
-
-def test_echo_invoke_absolute_file(tmp_path) -> None:
- """验证绝对路径 file_uri 的文件内容被读取为输入。"""
- source = tmp_path / "input.txt"
- source.write_text("from file", encoding="utf-8")
- response = echo_invoke(
- InvokeRequest(
- run_id="run_2",
- node_instance_id="ni_2",
- inputs={"file_uri": str(source)},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed"
- assert response.outputs["text"] == "from file"
-
-
-def test_echo_invoke_relative_file(tmp_path) -> None:
- """验证相对路径 file_uri 以单体根目录为基准解析。"""
- source = WORKSPACE / "relative_input.txt"
- source.write_text("relative", encoding="utf-8")
- try:
- response = echo_invoke(
- InvokeRequest(
- run_id="run_3",
- node_instance_id="ni_3",
- inputs={"file_uri": "relative_input.txt"},
- output_dir=str(tmp_path / "out"),
- )
- )
- finally:
- source.unlink()
- assert response.status == "completed"
- assert response.outputs["text"] == "relative"
-
-
-def test_echo_invoke_default_text(tmp_path) -> None:
- """验证无任何输入时 echo 节点返回默认文本。"""
- response = echo_invoke(
- InvokeRequest(
- run_id="run_4",
- node_instance_id="ni_4",
- inputs={},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "completed"
- assert response.outputs["text"] == "echo"
-
-
-# ---------------------------------------------------------------------------
-# FFmpeg 节点
-# ---------------------------------------------------------------------------
-
-
-def _ffmpeg_request(tmp_path, **overrides) -> InvokeRequest:
- """构造包含默认视频输入与提音参数的调用请求。"""
- payload = {
- "run_id": "run_1",
- "node_instance_id": "ni_1",
- "inputs": {"video_uri": str(tmp_path / "input.mp4")},
- "params": {"sample_rate": 16000, "channels": 1},
- "output_dir": str(tmp_path / "out"),
- }
- payload.update(overrides)
- return InvokeRequest(**payload)
-
-
-def test_ffmpeg_success(tmp_path, monkeypatch) -> None:
- """验证成功调用会生成 audio.wav 产物。"""
- def fake_run(command, **kwargs):
- output = Path(command[-1])
- output.parent.mkdir(parents=True, exist_ok=True)
- output.write_bytes(b"fake wav")
- return subprocess.CompletedProcess(command, 0)
-
- monkeypatch.setattr("nodes.ffmpeg.shutil.which", lambda _: "ffmpeg")
- monkeypatch.setattr("nodes.ffmpeg.subprocess.run", fake_run)
- response = ffmpeg_invoke(_ffmpeg_request(tmp_path))
- assert response.status == "completed"
- assert Path(response.outputs["audio_uri"]).name == "audio.wav"
-
-
-def test_ffmpeg_configured_bin(tmp_path, monkeypatch) -> None:
- """验证 FFMPEG_BIN 环境变量优先于 PATH 查找。"""
- fake_bin = tmp_path / "ffmpeg.exe"
- fake_bin.write_bytes(b"")
- monkeypatch.setenv("FFMPEG_BIN", str(fake_bin))
- monkeypatch.setattr("nodes.ffmpeg.subprocess.run", lambda *a, **k: subprocess.CompletedProcess([], 0))
- response = ffmpeg_invoke(_ffmpeg_request(tmp_path))
- assert response.status == "completed"
-
-
-def test_ffmpeg_bundled_fallback(tmp_path, monkeypatch) -> None:
- """验证无系统 ffmpeg 时回退到 imageio-ffmpeg 内置二进制。"""
- monkeypatch.delenv("FFMPEG_BIN", raising=False)
- monkeypatch.setattr("nodes.ffmpeg.shutil.which", lambda _: None)
- bundled = _ffmpeg_bin()
- assert bundled != "ffmpeg"
- assert Path(bundled).is_file()
- monkeypatch.setattr("nodes.ffmpeg._ffmpeg_bin", lambda: bundled)
-
- def fake_run(command, **kwargs):
- Path(command[-1]).parent.mkdir(parents=True, exist_ok=True)
- Path(command[-1]).write_bytes(b"wav")
- return subprocess.CompletedProcess(command, 0)
-
- monkeypatch.setattr("nodes.ffmpeg.subprocess.run", fake_run)
- response = ffmpeg_invoke(_ffmpeg_request(tmp_path))
- assert response.status == "completed"
-
-
-def test_ffmpeg_bundled_import_error(monkeypatch) -> None:
- """验证 imageio-ffmpeg 不可用时最终回退为 "ffmpeg" 字符串。"""
- monkeypatch.delenv("FFMPEG_BIN", raising=False)
- monkeypatch.setattr("nodes.ffmpeg.shutil.which", lambda _: None)
- monkeypatch.setitem(sys.modules, "imageio_ffmpeg", None)
- assert _ffmpeg_bin() == "ffmpeg"
-
-
-def test_ffmpeg_missing_video_uri(tmp_path) -> None:
- """验证缺少 video_uri 时返回失败。"""
- response = ffmpeg_invoke(_ffmpeg_request(tmp_path, inputs={}))
- assert response.status == "failed"
- assert "video_uri" in response.error
-
-
-def test_ffmpeg_missing_bin(tmp_path, monkeypatch) -> None:
- """验证找不到任何 ffmpeg 时返回明确失败信息。"""
- monkeypatch.delenv("FFMPEG_BIN", raising=False)
- monkeypatch.setattr("nodes.ffmpeg.shutil.which", lambda _: None)
- monkeypatch.setattr("nodes.ffmpeg._bundled_ffmpeg", lambda: None)
- response = ffmpeg_invoke(_ffmpeg_request(tmp_path))
- assert response.status == "failed"
- assert "ffmpeg not found" in response.error
-
-
-def test_ffmpeg_failure(tmp_path, monkeypatch) -> None:
- """验证 ffmpeg 返回非零退出码时透传 stderr 错误。"""
- def fake_run(command, **kwargs):
- return subprocess.CompletedProcess(command, 1, stderr="boom")
-
- monkeypatch.setattr("nodes.ffmpeg.shutil.which", lambda _: "ffmpeg")
- monkeypatch.setattr("nodes.ffmpeg.subprocess.run", fake_run)
- response = ffmpeg_invoke(_ffmpeg_request(tmp_path))
- assert response.status == "failed"
- assert "boom" in response.error
-
-
-# ---------------------------------------------------------------------------
-# Whisper 节点
-# ---------------------------------------------------------------------------
-
-
-class FakeSegment:
- """模拟 faster-whisper 的分段对象，只提供转写测试需要的字段。"""
-
- def __init__(self, start, end, text):
- self.start = start
- self.end = end
- self.text = text
-
-
-class FakeWhisperModel:
- """记录构造参数并返回固定分段的假 WhisperModel。"""
-
- instances: list[tuple[tuple, dict]] = []
-
- def __init__(self, *args, **kwargs):
- # 记录每次构造参数，测试据此断言 device/compute_type 传递。
- FakeWhisperModel.instances.append((args, kwargs))
- self.args = args
- self.kwargs = kwargs
-
- def transcribe(self, path, **kwargs):
- # 返回固定两个分段：一个普通时长，一个跨小时验证时间戳格式。
- return (
- [
- FakeSegment(0, 1, "第一段"),
- FakeSegment(3600.5, 3602.25, "第二段"),
- ],
- None,
- )
-
-
-def _install_fake_whisper(monkeypatch, model_class=FakeWhisperModel) -> None:
- """把假 faster_whisper 模块注入 sys.modules，替代真实依赖。"""
- fake_module = types.SimpleNamespace(WhisperModel=model_class)
- monkeypatch.setitem(sys.modules, "faster_whisper", fake_module)
-
-
-def _whisper_request(tmp_path, **overrides) -> InvokeRequest:
- """构造默认音频输入与日语参数的调用请求。"""
- payload = {
- "run_id": "run_1",
- "node_instance_id": "ni_1",
- "inputs": {"audio_uri": str(tmp_path / "audio.wav")},
- "params": {"language": "ja"},
- "output_dir": str(tmp_path / "out"),
- }
- payload.update(overrides)
- return InvokeRequest(**payload)
-
-
-def test_resolve_explicit_param_wins(tmp_path) -> None:
- """验证请求参数中的 model_path 优先级最高，覆盖环境变量与本地候选。"""
- local = tmp_path / "model"
- local.mkdir()
- (local / "model.bin").write_bytes(b"x")
- resolved = resolve_model_path(
- {"model_path": "/opt/custom-model"},
- env={"WHISPER_MODEL_PATH": "/env/model"},
- candidates=[local],
- )
- assert resolved == "/opt/custom-model"
-
-
-def test_resolve_env_wins_over_local(tmp_path) -> None:
- """验证 WHISPER_MODEL_PATH 环境变量优先于本地候选目录。"""
- local = tmp_path / "model"
- local.mkdir()
- (local / "model.bin").write_bytes(b"x")
- resolved = resolve_model_path(
- {},
- env={"WHISPER_MODEL_PATH": "/env/model"},
- candidates=[local],
- )
- assert resolved == "/env/model"
-
-
-def test_resolve_local_candidate_used(tmp_path) -> None:
- """验证无参数与环境变量时优先使用含 model.bin 的本地候选目录。"""
- local = tmp_path / "model"
- local.mkdir()
- (local / "model.bin").write_bytes(b"x")
- resolved = resolve_model_path({}, env={}, candidates=[local])
- assert resolved == str(local)
-
-
-def test_resolve_incomplete_candidate_skipped(tmp_path) -> None:
- """验证缺少 model.bin 的候选目录被跳过，避免加载残缺模型。"""
- empty = tmp_path / "empty"
- empty.mkdir()
- resolved = resolve_model_path({}, env={}, candidates=[empty])
- assert resolved == "large-v2"
-
-
-def test_resolve_fallback_remote() -> None:
- """验证全部本地候选缺失时回退到远端 large-v2 作为最后兜底。"""
- resolved = resolve_model_path({}, env={}, candidates=[])
- assert resolved == "large-v2"
-
-
-def test_format_timestamp() -> None:
- """验证秒数到 SRT 时间戳的格式化结果。"""
- assert format_timestamp(0) == "00:00:00,000"
- assert format_timestamp(3600.5) == "01:00:00,500"
- assert format_timestamp(61.25) == "00:01:01,250"
-
-
-def test_whisper_success(tmp_path, monkeypatch) -> None:
- """验证成功转写会生成 SRT 并默认使用 auto 设备、float16 计算类型。"""
- FakeWhisperModel.instances.clear()
- _install_fake_whisper(monkeypatch)
- _make_wav(tmp_path / "audio.wav", 5)
- response = whisper_invoke(_whisper_request(tmp_path))
- assert response.status == "completed"
- content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert "第一段" in content
- assert "01:00:00,500 --> 01:00:02,250" in content
- _, kwargs = FakeWhisperModel.instances[-1]
- assert kwargs["device"] == "auto"
- assert kwargs["compute_type"] == "float16"
-
-
-def test_whisper_pause_flag_stops_between_chunks(tmp_path, monkeypatch) -> None:
- """验证 paused.flag 存在时 whisper 在分块边界中止（批量暂停机制）。
-
- run 根目录（output_dir 的上上级）的 paused.flag 由暂停接口写入，whisper
- 在每个分块转写前检查；检测到即抛异常，invoke 统一转 failed 响应，调度器
- 捕获后保持任务 PAUSED。
- """
- _install_fake_whisper(monkeypatch)
- _make_wav(tmp_path / "audio.wav", 5)
- # 暂停信号位于 run 根目录：output_dir 为 runs/run_p/steps/whisper，
- # 其上上级即 runs/run_p（与调度器/OCR 的目录约定一致）。
- (tmp_path / "runs" / "run_p").mkdir(parents=True)
- (tmp_path / "runs" / "run_p" / "paused.flag").write_text("", encoding="utf-8")
- # 注入两个分块路径，确保进入分块循环并执行至少一次暂停检查。
- monkeypatch.setattr(
- "nodes.whisper._split_audio",
- lambda *args, **kwargs: [tmp_path / "chunk_1.wav", tmp_path / "chunk_2.wav"],
- )
- response = whisper_invoke(
- _whisper_request(
- tmp_path,
- params={"language": "ja", "chunk_seconds": 60},
- output_dir=str(tmp_path / "runs" / "run_p" / "steps" / "whisper"),
- )
- )
- assert response.status == "failed"
- assert "被暂停" in response.error
- # 暂停时不会写出 SRT 产物。
- assert not (tmp_path / "runs" / "run_p" / "steps" / "whisper" / "transcript.srt").exists()
-
-def test_load_cuda_libraries_linux(monkeypatch) -> None:
- """验证 Linux 下进程内预加载 nvidia 动态库，含失败跳过分支。"""
- import ctypes
-
- from nodes.whisper import _load_cuda_libraries
-
- # 用真实 nvidia 轮子路径加载，不应抛出异常。
- _load_cuda_libraries()
-
- # 模拟加载失败分支：部分库抛 OSError 时应被跳过。
- calls: list[str] = []
- real_cdll = ctypes.CDLL
-
- def fake_cdll(path):
- calls.append(str(path))
- if "cudnn" in str(path):
- raise OSError("boom")
- return real_cdll(path)
-
- monkeypatch.setattr("nodes.whisper.ctypes.CDLL", fake_cdll)
- _load_cuda_libraries()
- assert calls
-
-
-def test_load_cuda_libraries_windows(monkeypatch, tmp_path) -> None:
- """验证 Windows 分支通过 add_dll_directory 注册 DLL 搜索目录。"""
- import os
- import sysconfig
-
- from nodes.whisper import _load_cuda_libraries
-
- site = tmp_path / "site"
- (site / "nvidia" / "cublas" / "bin").mkdir(parents=True)
- (site / "nvidia" / "cudnn" / "bin").mkdir(parents=True)
- monkeypatch.setattr(sysconfig, "get_paths", lambda: {"purelib": str(site)})
- added: list[str] = []
- # 只注入平台判断与 DLL 目录注册，不改动全局 os.name，避免 pathlib 出错。
- monkeypatch.setattr("nodes.whisper._is_windows", lambda: True)
- monkeypatch.setattr(os, "add_dll_directory", lambda d: added.append(d), raising=False)
- _load_cuda_libraries()
- assert any("cublas" in d and d.endswith("bin") for d in added)
-def test_whisper_compute_type_override(tmp_path, monkeypatch) -> None:
- """验证请求参数可以覆盖默认计算类型。"""
- FakeWhisperModel.instances.clear()
- _install_fake_whisper(monkeypatch)
- _make_wav(tmp_path / "audio.wav", 5)
- response = whisper_invoke(
- _whisper_request(tmp_path, params={"language": "ja", "compute_type": "int8"})
- )
- assert response.status == "completed"
- _, kwargs = FakeWhisperModel.instances[-1]
- assert kwargs["compute_type"] == "int8"
-
-
-def test_whisper_model_raises(tmp_path, monkeypatch) -> None:
- """验证模型加载失败时返回 failed 与错误信息。"""
- class BrokenModel:
- def __init__(self, *args, **kwargs):
- raise RuntimeError("model load failed")
-
- _install_fake_whisper(monkeypatch, BrokenModel)
- _make_wav(tmp_path / "audio.wav", 5)
- response = whisper_invoke(_whisper_request(tmp_path))
- assert response.status == "failed"
- assert "model load failed" in response.error
-
-
-def test_whisper_missing_input(tmp_path) -> None:
- """验证缺少 audio_uri 时返回失败。"""
- response = whisper_invoke(_whisper_request(tmp_path, inputs={}))
- assert response.status == "failed"
-
-
-def test_whisper_missing_file(tmp_path) -> None:
- """验证音频文件不存在时返回失败。"""
- response = whisper_invoke(_whisper_request(tmp_path))
- assert response.status == "failed"
- assert "audio file not found" in response.error
-
-
-# ---------------------------------------------------------------------------
-# LLM 节点
-# ---------------------------------------------------------------------------
-
-
-class FakeUrlOpenResponse:
- """模拟 urllib 响应对象，提供固定 LLM 译文内容。"""
-
- def __init__(self, content: str) -> None:
- # 预编码为 Chat Completions 风格的 JSON 响应体。
- self._payload = json.dumps(
- {"choices": [{"message": {"content": content}}]}
- ).encode("utf-8")
-
- def read(self) -> bytes:
- return self._payload
-
- def __enter__(self):
- return self
-
- def __exit__(self, *args) -> bool:
- return False
-
-
-def _make_srt(tmp_path, count=5) -> Path:
- """生成标准 SRT 测试文件，文本行为"原文字幕N"。"""
- lines = []
- for index in range(count):
- lines.extend(
- [
- str(index + 1),
- f"00:00:{index:02d},000 --> 00:00:{index + 1:02d},000",
- f"原文字幕{index + 1}",
- "",
- ]
- )
- path = tmp_path / "in.srt"
- path.write_text("\n".join(lines), encoding="utf-8")
- return path
-
-
-def test_llm_translate_lines_via_fake_api(monkeypatch) -> None:
- """验证通过真实 HTTP 服务器调用 LLM 接口并保持行顺序。"""
- class Handler(BaseHTTPRequestHandler):
- def do_POST(self) -> None:
- length = int(self.headers.get("Content-Length", "0"))
- self.rfile.read(length)
- body = json.dumps(
- {
- "choices": [
- {
- "message": {
- "content": json.dumps([{"id": i, "text": text} for i, text in enumerate(["译文一", "译文二", "译文三", "译文四", "译文五"], 1)])
- }
- }
- ]
- }
- ).encode("utf-8")
- self.send_response(200)
- self.send_header("Content-Type", "application/json")
- self.send_header("Content-Length", str(len(body)))
- self.end_headers()
- self.wfile.write(body)
-
- def log_message(self, format, *args) -> None:
- return
-
- server = ThreadingHTTPServer(("127.0.0.1", 0), Handler)
- thread = threading.Thread(target=server.serve_forever, daemon=True)
- thread.start()
- try:
- monkeypatch.setenv(
- "LLM_API_BASE",
- f"http://127.0.0.1:{server.server_address[1]}/v1/chat/completions",
- )
- monkeypatch.setenv("LLM_API_KEY", "test-key")
- result = translate_lines(
- ["一", "二", "三", "四", "五"],
- {"target_language": "zh-CN"},
- )
- assert result == ["译文一", "译文二", "译文三", "译文四", "译文五"]
- finally:
- server.shutdown()
- server.server_close()
- thread.join(timeout=5)
-
-
-def test_llm_translate_lines_empty_input() -> None:
- """验证空行列表直接返回空译文，不发起任何 LLM 请求。
-
- 翻译开始前对空输入提前返回：没有字幕行时无需计算批数、也无需调用
- 接口（避免无谓请求与除零等边界问题），同时保持返回类型为列表。"""
- result = translate_lines([], {})
- assert result == []
-
-
-def test_llm_translate_lines_api_error(monkeypatch) -> None:
- """验证 LLM 接口不可用时抛出 URLError。"""
- def fail_open(request, timeout):
- raise urllib.error.URLError("api down")
-
- monkeypatch.setattr("nodes.llm.urllib.request.urlopen", fail_open)
- try:
- translate_lines(["一"], {})
- raise AssertionError("expected failure")
- except urllib.error.URLError:
- pass
-
-
-def test_llm_translate_lines_default_timeout(monkeypatch) -> None:
- """验证未配置超时时使用默认 600 秒。"""
- captured = {}
-
- def fake_open(request, timeout):
- captured["timeout"] = timeout
- return FakeUrlOpenResponse('[{"id": 1, "text": "译文一"}]')
-
- monkeypatch.setattr("nodes.llm.urllib.request.urlopen", fake_open)
- monkeypatch.setenv("LLM_API_BASE", "http://fake/v1/chat/completions")
-
- result = translate_lines(["一"], {})
-
- assert result == ["译文一"]
- assert captured["timeout"] == 600
-
-
-def test_llm_translate_lines_env_timeout(monkeypatch) -> None:
- """验证 LLM_TIMEOUT_SECONDS 环境变量可覆盖超时。"""
- captured = {}
-
- def fake_open(request, timeout):
- captured["timeout"] = timeout
- return FakeUrlOpenResponse('[{"id": 1, "text": "译文一"}]')
-
- monkeypatch.setattr("nodes.llm.urllib.request.urlopen", fake_open)
- monkeypatch.setenv("LLM_API_BASE", "http://fake/v1/chat/completions")
- monkeypatch.setenv("LLM_TIMEOUT_SECONDS", "45")
-
- translate_lines(["一"], {})
-
- assert captured["timeout"] == 45
-
-
-def test_llm_invoke_success(tmp_path, monkeypatch) -> None:
- """验证成功调用会把译文回填到 SRT 并输出 cn.srt。"""
- source = _make_srt(tmp_path)
-
- def fake_translate(lines, params):
- return [f"译文{i + 1}" for i in range(len(lines))]
-
- monkeypatch.setattr("nodes.llm.translate_lines", fake_translate)
- response = llm_invoke(
- InvokeRequest(
- run_id="run_1",
- node_instance_id="ni_1",
- inputs={"srt_uri": str(source)},
- params={"target_language": "zh-CN"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed"
- content = Path(response.outputs["cn_srt_uri"]).read_text(encoding="utf-8")
- assert "译文1" in content
-
-
-def test_llm_invoke_rejects_short_translation(tmp_path, monkeypatch) -> None:
- """防御性校验：译文条数不足时失败，不用空行掩盖不完整结果。"""
- source = _make_srt(tmp_path, count=3)
- monkeypatch.setattr(
- "nodes.llm.translate_lines",
- lambda lines, params: ["only one"],
- )
- response = llm_invoke(
- InvokeRequest(
- run_id="run_2",
- node_instance_id="ni_2",
- inputs={"srt_uri": str(source)},
- output_dir=str(tmp_path / "out2"),
- )
- )
- assert response.status == "failed"
-
-
-def test_llm_invoke_missing_input(tmp_path) -> None:
- """验证缺少 srt_uri 时返回失败。"""
- response = llm_invoke(
- InvokeRequest(
- run_id="run_3",
- node_instance_id="ni_3",
- inputs={},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "failed"
-
-
-def test_llm_invoke_missing_file(tmp_path) -> None:
- """验证 SRT 文件不存在时返回失败。"""
- response = llm_invoke(
- InvokeRequest(
- run_id="run_4",
- node_instance_id="ni_4",
- inputs={"srt_uri": str(tmp_path / "missing.srt")},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "failed"
-
-
-# ---------------------------------------------------------------------------
-# ASS 节点
-# ---------------------------------------------------------------------------
-
-
-SAMPLE_SRT = """
-1
-00:00:01,000 --> 00:00:03,000
-第一行
-第二行
-
-2
-00:00:04,000 --> 00:00:06,000
-第三行
-"""
-
-
-def test_ass_parse_and_write(tmp_path) -> None:
- """验证多行字幕会被解析并通过左右眼样式写出。"""
- entries = parse_srt(SAMPLE_SRT)
- assert len(entries) == 2
- assert entries[0][2] == r"第一行\N第二行"
-
- output = tmp_path / "out.ass"
- write_ass(entries, output, "3840x1920")
- content = output.read_text(encoding="utf-8")
- assert "PlayResX: 3840" in content
- assert "PlayResY: 1920" in content
- assert "LeftEye" in content
- assert "RightEye" in content
- assert r"第一行\N第二行" in content
-
-
-def test_ass_top_aligned_and_translucent(tmp_path) -> None:
- """验证字幕默认渲染到顶部安全区且文字/描边带透明度。
-
- B-1：对齐 an8（顶部居中），MarginV 取顶部安全边距默认 700（2026-09 起，
- 字幕置于视线自然可读位置；旧默认 120 落在画面最顶需抬头观看）；
- 透明度：文字填充 &HB3FFFFFF（约 70% 透明），描边 &H80000000（半透明黑），
- 而左右眼水平相对位置一致保持零视差（A-1，字幕在屏幕平面）。"""
- entries = parse_srt(SAMPLE_SRT)
- output = tmp_path / "out.ass"
- write_ass(entries, output, "3840x1920")
- content = output.read_text(encoding="utf-8")
- # 顶部对齐 an8、顶部安全边距默认 700。
- assert r"{\an8}" in content
- assert r"{\an2}" not in content
- # 样式行：MarginV=700（顶部安全区），填充 &HB3FFFFFF，描边 &H80000000。
- assert "&HB3FFFFFF" in content
- assert "&H80000000" in content
- assert ",0,0,0,0,50,100,0,0,1,4,0,8,50,1920,700,1" in content
- # 左右眼两行文本一致（水平相对位置相同 → 零视差/A-1）。
- assert content.count(r"第一行\N第二行") == 2
-
-
-def test_ass_write_custom_margin_top(tmp_path) -> None:
- """验证可通过 margin_top 覆盖顶部安全边距（不同分辨率下微调）。"""
- entries = parse_srt(SAMPLE_SRT)
- output = tmp_path / "out.ass"
- write_ass(entries, output, "1920x1080", margin_top=200)
- content = output.read_text(encoding="utf-8")
- # 1920 宽：每半幅 960；MarginV 用自定义 200。
- assert ",0,0,0,0,50,100,0,0,1,4,0,8,50,960,200,1" in content
-
-
-def test_ass_invoke_reads_margin_top(tmp_path) -> None:
- """验证 invoke 从请求参数读取 margin_top 并反映到产物样式。"""
- source = tmp_path / "in.srt"
- source.write_text(SAMPLE_SRT, encoding="utf-8")
- response = ass_invoke(
- InvokeRequest(
- run_id="run_mt",
- node_instance_id="ni_mt",
- inputs={"cn_srt_uri": str(source)},
- params={"resolution": "1920x1080", "margin_top": 90},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed"
- content = Path(response.outputs["ass_uri"]).read_text(encoding="utf-8")
- assert "an8" in content
- assert ",0,0,0,0,50,100,0,0,1,4,0,8,50,960,90,1" in content
-
-
-def test_ass_invoke_default_margin_top_is_700(tmp_path) -> None:
- """验证 invoke 未显式传 margin_top 时默认生成 MarginV=700 的样式。
-
- 保证之后生成的字幕默认都落在顶部安全区下方（2026-09 起），
- 不再回退到旧的 120（需抬头观看）。"""
- source = tmp_path / "in.srt"
- source.write_text(SAMPLE_SRT, encoding="utf-8")
- response = ass_invoke(
- InvokeRequest(
- run_id="run_def700",
- node_instance_id="ni_def700",
- inputs={"cn_srt_uri": str(source)},
- params={"resolution": "1920x1080"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed"
- content = Path(response.outputs["ass_uri"]).read_text(encoding="utf-8")
- assert "an8" in content
- assert ",0,0,0,0,50,100,0,0,1,4,0,8,50,960,700,1" in content
-
-
-def test_ass_parse_malformed(tmp_path) -> None:
- """验证畸形 SRT 不会抛出异常且返回空条目或忽略坏行。"""
- source = tmp_path / "bad.srt"
- source.write_text("1\nnot a time line\n", encoding="utf-8")
- assert parse_srt(source.read_text(encoding="utf-8")) == []
-
- source.write_text("1", encoding="utf-8")
- assert parse_srt(source.read_text(encoding="utf-8")) == []
-
-
-def test_ass_invoke_success(tmp_path) -> None:
- """验证成功调用会按指定分辨率输出 ASS 产物。"""
- source = tmp_path / "in.srt"
- source.write_text(SAMPLE_SRT, encoding="utf-8")
- response = ass_invoke(
- InvokeRequest(
- run_id="run_1",
- node_instance_id="ni_1",
- inputs={"cn_srt_uri": str(source)},
- params={"resolution": "1920x1080"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed"
- assert "PlayResX: 1920" in Path(response.outputs["ass_uri"]).read_text(encoding="utf-8")
-
-
-def test_ass_invoke_missing_input(tmp_path) -> None:
- """验证缺少 cn_srt_uri 时返回失败。"""
- response = ass_invoke(
- InvokeRequest(
- run_id="run_2",
- node_instance_id="ni_2",
- inputs={},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "failed"
-
-
-def test_ass_invoke_missing_file(tmp_path) -> None:
- """验证 SRT 文件不存在时返回失败。"""
- response = ass_invoke(
- InvokeRequest(
- run_id="run_3",
- node_instance_id="ni_3",
- inputs={"cn_srt_uri": str(tmp_path / "missing.srt")},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "failed"
-
-
-def test_resolve_bare_name_found(tmp_path) -> None:
- """验证裸模型名会在候选目录父级下按名解析到本地模型。"""
- named = tmp_path / "zh-ct2"
- named.mkdir()
- (named / "model.bin").write_bytes(b"x")
- # 候选目录取父目录的兄弟布局：candidates 首项父级即模型根目录。
- candidates = [tmp_path / "models"]
- resolved = resolve_model_path({"model_path": "zh-ct2"}, env={}, candidates=candidates)
- assert resolved == str(named)
-
-
-def test_resolve_bare_name_missing(tmp_path) -> None:
- """验证裸模型名在本地不存在时原样返回，交由 faster-whisper 处理。"""
- resolved = resolve_model_path(
- {"model_path": "no-such-model"}, env={}, candidates=[tmp_path / "models"]
- )
- assert resolved == "no-such-model"
-
-
-def test_whisper_task_translate(tmp_path, monkeypatch) -> None:
- """验证 task=translate 参数会传递给 faster-whisper 的 transcribe。"""
- class TaskRecorderModel:
- def __init__(self, *args, **kwargs):
- self.transcribe_kwargs = None
-
- def transcribe(self, path, **kwargs):
- self.transcribe_kwargs = kwargs
- return (
- [FakeSegment(0, 1, "中文直出")],
- None,
- )
-
- recorder = TaskRecorderModel()
- monkeypatch.setitem(sys.modules, "faster_whisper", types.SimpleNamespace(WhisperModel=lambda *a, **k: recorder))
- _make_wav(tmp_path / "audio.wav", 5)
- response = whisper_invoke(
- _whisper_request(tmp_path, params={"language": "ja", "task": "translate"})
- )
- assert response.status == "completed"
- assert recorder.transcribe_kwargs["task"] == "translate"
- assert "中文直出" in Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
-
-
-def test_whisper_condition_on_previous_text(tmp_path, monkeypatch) -> None:
- """验证长音频参数 condition_on_previous_text 可配置并默认关闭。"""
- captured = {}
-
- class CondRecorderModel:
- def __init__(self, *args, **kwargs):
- pass
-
- def transcribe(self, path, **kwargs):
- captured["condition_on_previous_text"] = kwargs.get("condition_on_previous_text")
- return ([FakeSegment(0, 1, "ok")], None)
-
- monkeypatch.setitem(
- sys.modules,
- "faster_whisper",
- types.SimpleNamespace(WhisperModel=lambda *a, **k: CondRecorderModel()),
- )
- _make_wav(tmp_path / "audio.wav", 5)
- # 默认 False（长音频稳定）；显式传 True 可开启。
- whisper_invoke(_whisper_request(tmp_path))
- assert captured["condition_on_previous_text"] is False
- whisper_invoke(_whisper_request(tmp_path, params={"condition_on_previous_text": True}))
- assert captured["condition_on_previous_text"] is True
-
-
-def test_split_audio_disabled_or_no_ffmpeg(tmp_path, monkeypatch) -> None:
- """验证 chunk_seconds<=0 或缺少 ffmpeg 时回退整段，不调用切块。"""
- from nodes.whisper import _split_audio
-
- audio = _make_wav(tmp_path / "in.wav", 5)
- called = []
-
- def fake_run(*args, **kwargs):
- called.append(args)
- return subprocess.CompletedProcess([], 0)
-
- monkeypatch.setattr("nodes.whisper.subprocess.run", fake_run)
- # chunk_seconds<=0：直接返回整段，不执行 ffmpeg。
- assert _split_audio(audio, tmp_path, 0, "ffmpeg") == [audio]
- # 缺少 ffmpeg：直接返回整段。
- assert _split_audio(audio, tmp_path, 600, None) == [audio]
- assert called == []
-
-
-def test_split_audio_failure_fallback(tmp_path, monkeypatch) -> None:
- """验证 ffmpeg 切块失败时回退整段单次转写。"""
- from nodes.whisper import _split_audio
-
- audio = _make_wav(tmp_path / "in.wav", 5)
- monkeypatch.setattr(
- "nodes.whisper.subprocess.run",
- lambda *a, **k: subprocess.CompletedProcess([], 1, stderr="boom"),
- )
- assert _split_audio(audio, tmp_path, 600, "ffmpeg") == [audio]
-
-
-def test_split_audio_success_and_empty(tmp_path, monkeypatch) -> None:
- """验证切块成功返回块列表；产出为空时回退整段。"""
- from nodes.whisper import _split_audio
-
- audio = _make_wav(tmp_path / "in.wav", 5)
-
- def fake_run_success(command, **kwargs):
- # 模拟 ffmpeg 产出两个真实的块 WAV。
- pattern = command[-1]
- for name in ("chunk_000.wav", "chunk_001.wav"):
- _make_wav(tmp_path / "chunks" / name, 2)
- return subprocess.CompletedProcess(command, 0)
-
- monkeypatch.setattr("nodes.whisper.subprocess.run", fake_run_success)
- chunks = _split_audio(audio, tmp_path, 600, "ffmpeg")
- assert len(chunks) == 2
- assert chunks[0].name == "chunk_000.wav"
-
- # 切块成功但没有产出文件时回退整段。
- monkeypatch.setattr(
- "nodes.whisper.subprocess.run",
- lambda *a, **k: subprocess.CompletedProcess([], 0),
- )
- assert _split_audio(audio, tmp_path / "other", 600, "ffmpeg") == [audio]
-
-
-def test_whisper_chunked_transcription_merges_offsets(tmp_path, monkeypatch) -> None:
- """验证分块转写用真实 WAV 块，第二块时间轴按实际时长偏移合并到同一 SRT。"""
- from nodes.whisper import _split_audio
-
- chunk_dir = tmp_path / "out" / "chunks"
- chunk_dir.mkdir(parents=True)
- # 真实 WAV 块（各 60s），偏移按实际时长累积为 60s。
- chunk1 = _make_wav(chunk_dir / "chunk_000.wav", 60)
- chunk2 = _make_wav(chunk_dir / "chunk_001.wav", 60)
- monkeypatch.setattr("nodes.whisper._split_audio", lambda a, o, c, f: [chunk1, chunk2])
- FakeWhisperModel.instances.clear()
- _install_fake_whisper(monkeypatch)
- _make_wav(tmp_path / "audio.wav", 5)
- response = whisper_invoke(_whisper_request(tmp_path, params={"chunk_seconds": 60}))
- assert response.status == "completed"
- content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
- # 序号从 1 开始连续递增；第一块无偏移，第二块偏移 60 秒。
- assert content.startswith("1\n")
- assert "3\n00:01:00,000" in content
- assert "00:00:00,000 --> 00:00:01,000" in content
- assert "01:00:00,500 --> 01:00:02,250" in content
- assert "00:01:00,000 --> 00:01:01,000" in content
- assert "01:01:00,500 --> 01:01:02,250" in content
-
-
-def test_whisper_chunk_disabled_single_call(tmp_path, monkeypatch) -> None:
- """验证 chunk_seconds=0 时单次调用、不切块。"""
- FakeWhisperModel.instances.clear()
- _install_fake_whisper(monkeypatch)
- _make_wav(tmp_path / "audio.wav", 5)
- response = whisper_invoke(_whisper_request(tmp_path, params={"chunk_seconds": 0}))
- assert response.status == "completed"
- # 单次调用：init 只记录一次实例。
- assert len(FakeWhisperModel.instances) == 1
-
-
-def test_whisper_vad_filter_default_off(tmp_path, monkeypatch) -> None:
- """验证 vad_filter 默认开启，可显式关闭。"""
- captured = {}
-
- class VadRecorderModel:
- def __init__(self, *args, **kwargs):
- pass
-
- def transcribe(self, path, **kwargs):
- captured["vad_filter"] = kwargs.get("vad_filter")
- return ([FakeSegment(0, 1, "ok")], None)
-
- monkeypatch.setitem(
- sys.modules,
- "faster_whisper",
- types.SimpleNamespace(WhisperModel=lambda *a, **k: VadRecorderModel()),
- )
- _make_wav(tmp_path / "audio.wav", 5)
- whisper_invoke(_whisper_request(tmp_path))
- assert captured["vad_filter"] is True
- whisper_invoke(_whisper_request(tmp_path, params={"vad_filter": False}))
- assert captured["vad_filter"] is False
-
-
-def _make_wav(path, seconds, rate=16000) -> Path:
- """生成指定时长的 16kHz 单声道 16bit 静音 WAV。"""
- import wave
-
- with wave.open(str(path), "wb") as wav:
- wav.setnchannels(1)
- wav.setsampwidth(2)
- wav.setframerate(rate)
- wav.writeframes(b"\x00\x00" * int(rate * seconds))
- return path
-
-
-def test_whisper_chunk_offset_uses_actual_duration(tmp_path, monkeypatch) -> None:
- """验证分块偏移按 WAV 实际时长累积（1s+2s 块 → 第二块偏移 1s 而非块长 60s）。"""
- chunk_dir = tmp_path / "out" / "chunks"
- chunk_dir.mkdir(parents=True)
- chunk1 = _make_wav(chunk_dir / "chunk_000.wav", 1)
- chunk2 = _make_wav(chunk_dir / "chunk_001.wav", 2)
- monkeypatch.setattr("nodes.whisper._split_audio", lambda a, o, c, f: [chunk1, chunk2])
- FakeWhisperModel.instances.clear()
- _install_fake_whisper(monkeypatch)
- _make_wav(tmp_path / "audio.wav", 5)
- response = whisper_invoke(_whisper_request(tmp_path, params={"chunk_seconds": 60}))
- assert response.status == "completed"
- content = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
- # 第二块偏移 = 第一块实际时长 1s（若用块长假设则会是 60s → 00:01:00）。
- assert "00:00:01,000 --> 00:00:02,000" in content
- assert "00:01:00,000 --> 00:01:01,000" not in content
-
-
-def test_whisper_segment_logs_full_video_time(caplog, tmp_path, monkeypatch) -> None:
- """验证每条分段日志包含编号与完整视频角度（含分块偏移）的时间范围。"""
- chunk_dir = tmp_path / "out" / "chunks"
- chunk_dir.mkdir(parents=True)
- chunk1 = _make_wav(chunk_dir / "chunk_000.wav", 60)
- chunk2 = _make_wav(chunk_dir / "chunk_001.wav", 60)
- monkeypatch.setattr("nodes.whisper._split_audio", lambda a, o, c, f: [chunk1, chunk2])
- FakeWhisperModel.instances.clear()
- _install_fake_whisper(monkeypatch)
- _make_wav(tmp_path / "audio.wav", 5)
- with caplog.at_level("INFO", logger="vrsub.whisper"):
- response = whisper_invoke(_whisper_request(tmp_path, params={"chunk_seconds": 60}))
- assert response.status == "completed"
- seg_logs = [r.message for r in caplog.records if r.message.startswith("分段 #")]
- # 第一块：0s 起；第二块：偏移 60s（第一块实际时长）。
- assert any("分段 #1: 00:00:00,000 --> 00:00:01,000" in m for m in seg_logs)
- assert any(m.startswith("分段 #3: 00:01:00,000") for m in seg_logs)
-
-def test_whisper_auto_vad_fallback_on_error(tmp_path, monkeypatch) -> None:
- """自动 VAD 分析抛异常时，whisper 回退默认参数正常转写（防御性）。"""
- import nodes.whisper as whisper_mod
-
- def _boom(*args, **kwargs):
- raise RuntimeError("auto vad analysis failed")
-
- # 使 nodes.vad_profiler.vad_parameters_for_audio 抛异常（whisper.py 函数内 import）。
- monkeypatch.setattr(
- "nodes.vad_profiler.vad_parameters_for_audio", _boom, raising=False,
- )
- _install_fake_whisper(monkeypatch)
- _make_wav(tmp_path / "audio.wav", 5)
- response = whisper_invoke(
- _whisper_request(tmp_path, params={"language": "ja", "vad_filter": True, "sample_rate": 16000})
- )
- assert response.status == "completed"
- # 回退默认：transcribe 收到 vad_parameters=None。
- _, kwargs = FakeWhisperModel.instances[-1]
- assert kwargs.get("vad_parameters") is None
-
-
-def test_wav_duration_fallback_on_invalid_file(tmp_path) -> None:
- """验证读取时长时，损坏/缺失文件回退 fallback 值（真实非法文件，非占位字节）。"""
- from nodes.whisper import _wav_duration_seconds
-
- bad = tmp_path / "bad.wav"
- bad.write_text("this is not a wav file", encoding="utf-8")
- assert _wav_duration_seconds(bad, 60.0) == 60.0
- missing = tmp_path / "missing.wav"
- assert _wav_duration_seconds(missing, 60.0) == 60.0
-
-
-# ---------------------------------------------------------------------------
-# VLM OCR 节点（直接请求 Ollama /api/generate，流式）
-# ---------------------------------------------------------------------------
-
-
-# 真实的最小 PNG（1x1 像素，合法文件），用于构造真实图片输入。
-_MIN_PNG_BASE64 = (
- "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8"
- "z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg=="
-)
-
-
-class FakeChatResponse:
- """模拟 Ollama /api/generate 流式响应：readline() 逐行返回 JSON 块。
-
- done=False（默认）时仅一行内容，随后 readline 返回空表示流结束；
- done=True 时末尾追加一行带 done 标记的结束块。
- """
-
- def __init__(self, content: str, done: bool = False) -> None:
- self._lines = [
- json.dumps({"message": {"role": "assistant", "content": content}}).encode()
- ]
- if done:
- self._lines.append(
- json.dumps({"message": {"role": "assistant", "content": ""}, "done": True}).encode()
- )
-
- def readline(self) -> bytes:
- return self._lines.pop(0) if self._lines else b""
-
- def __enter__(self):
- return self
-
- def __exit__(self, *args) -> bool:
- return False
-
-
-def _real_png(tmp_path) -> Path:
- """生成真实 PNG 图片文件（解码自合法 base64）。"""
- image = tmp_path / "frame.png"
- image.write_bytes(base64.b64decode(_MIN_PNG_BASE64))
- return image
-
-
-def test_vlm_success(tmp_path, monkeypatch) -> None:
- """验证真实图片经流式读取后输出清洗过的文字与 ocr.txt 产物。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
- captured = {}
-
- def fake_urlopen(request, timeout):
- captured["timeout"] = timeout
- captured["url"] = request.full_url
- return FakeChatResponse("HELLO WORLD 123\n```markdown\n```\n```\n")
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", fake_urlopen)
- response = vlm_invoke(
- InvokeRequest(
- run_id="run_1",
- node_instance_id="",
- inputs={"image_uri": str(image)},
- params={"model": "glm-ocr:latest"},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- assert response.outputs["text"] == "HELLO WORLD 123"
- assert captured["url"].endswith("/api/chat")
- assert captured["timeout"] == 5
- content = Path(response.outputs["text_uri"]).read_text(encoding="utf-8")
- assert "HELLO WORLD 123" in content
-
-
-def test_vlm_missing_input_and_file(tmp_path) -> None:
- """验证缺少 image_uri 或图片不存在时返回失败。"""
- from nodes.vlm import invoke as vlm_invoke
-
- assert vlm_invoke(
- InvokeRequest(run_id="r", node_instance_id="", inputs={}, output_dir=str(tmp_path))
- ).status == "failed"
- assert vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(tmp_path / "missing.png")},
- output_dir=str(tmp_path),
- )
- ).status == "failed"
-
-
-def test_vlm_network_error(tmp_path, monkeypatch) -> None:
- """验证 Ollama 服务不可达时返回 failed。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
-
- def fail_open(request, timeout):
- raise urllib.error.URLError("ollama down")
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", fail_open)
- response = vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(image)},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "failed"
- assert "ollama down" in response.error
-
-
-def test_vlm_response_format_error(tmp_path, monkeypatch) -> None:
- """验证流式块既无 response 也无 done 标记时（格式错误）返回 failed。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
-
- class BadResponse:
- def readline(self) -> bytes:
- return b'{"foo": 1}'
-
- def __enter__(self):
- return self
-
- def __exit__(self, *args) -> bool:
- return False
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", lambda *a, **k: BadResponse())
- response = vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(image)},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "failed"
-
-
-def test_vlm_clean_ocr_text() -> None:
- """验证清洗逻辑会剔除 markdown 围栏与空行。"""
- from nodes.vlm import _clean_ocr_text
-
- cleaned = _clean_ocr_text("第一行\n```markdown\n```\n\n第二行\n```")
- assert cleaned == "第一行\n第二行"
-
-
-def test_vlm_options_in_body(tmp_path, monkeypatch) -> None:
- """验证请求体携带采样选项（temperature=0/repeat_penalty/num_predict），可参数覆盖。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
- captured = {}
-
- def fake_urlopen(request, timeout):
- import json as _json
-
- captured["body"] = _json.loads(request.data.decode("utf-8"))
- return FakeChatResponse("SUB 001")
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", fake_urlopen)
- vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(image)},
- params={"repeat_penalty": 1.3, "num_predict": 128},
- output_dir=str(tmp_path),
- )
- )
- assert captured["body"]["options"] == {
- "temperature": 0.3,
- "repeat_penalty": 1.3,
- "num_predict": 128,
- }
-
-
-def test_vlm_call_structure_system_prompt_and_stop(tmp_path, monkeypatch) -> None:
- """验证 /api/chat 调用结构：system 承载指令、user 只携带图片、stop=。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
- captured = {}
-
- def fake_urlopen(request, timeout):
- import json as _json
-
- captured["body"] = _json.loads(request.data.decode("utf-8"))
- return FakeChatResponse("SUB 001")
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", fake_urlopen)
- vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(image)},
- params={"prompt": "识别图片中的所有文字，原样输出。"},
- output_dir=str(tmp_path),
- )
- )
- body = captured["body"]
- assert body["stop"] == ["\n", "\n答", "答"]
- assert body["stream"] is True
- assert body["messages"][0]["role"] == "system"
- assert "识别图片" in body["messages"][0]["content"]
- assert body["messages"][1]["role"] == "user"
- assert body["messages"][1]["content"] == ""
- assert len(body["messages"][1]["images"]) == 1
-def test_vlm_stream_stop_sequence_truncation(tmp_path, monkeypatch) -> None:
- """验证流式读取命中终止序列（换行+答，\n答）即停止并截断该标记。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
-
- def fake_urlopen(request, timeout):
- # 模型输出先给出真实文本，随后进入“答：”式重复循环并输出终止序列。
- return FakeChatResponse("SUB 001\n答：重复循环垃圾")
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", fake_urlopen)
- response = vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(image)},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "completed", response.error
- # 终止序列及其后内容必须被截掉，只保留终止前的真实识别文本。
- assert response.outputs["text"] == "SUB 001"
-
-
-def test_vlm_stream_done_with_message(tmp_path, monkeypatch) -> None:
- """验证带 done 标记的流式结束块触发停止，结果正常返回。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
-
- def fake_urlopen(request, timeout):
- return FakeChatResponse("SUB 001", done=True)
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", fake_urlopen)
- response = vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(image)},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "completed", response.error
- assert response.outputs["text"] == "SUB 001"
-
-
-def test_vlm_stream_done_only_end(tmp_path, monkeypatch) -> None:
- """验证仅含 done 标记（无 response）的行视为流结束，空结果正常完成。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
-
- class DoneOnlyResponse:
- def readline(self) -> bytes:
- if not self._consumed:
- self._consumed = True
- return b'{"done": true}'
- return b""
-
- def __enter__(self):
- self._consumed = False
- return self
-
- def __exit__(self, *args) -> bool:
- return False
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", lambda *a, **k: DoneOnlyResponse())
- response = vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(image)},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "completed", response.error
- assert response.outputs["text"] == ""
-
-
-def test_vlm_stream_deadline_timeout(tmp_path, monkeypatch) -> None:
- """验证整体 5 秒截止：流式读取超过 deadline 立即终止并返回 failed。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
- # 第一次调用计算 deadline（100+5=105），第二次调用已越过截止（200>=105）。
- monotonic_values = iter([100.0, 200.0])
- monkeypatch.setattr("nodes.vlm.time.monotonic", lambda: next(monotonic_values))
-
- def fake_urlopen(request, timeout):
- return FakeChatResponse("SUB 001")
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", fake_urlopen)
- response = vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(image)},
- params={"timeout_seconds": 5},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "failed"
- assert "timed out" in response.error
-
-
-def test_vlm_extract_gettext() -> None:
- """验证从模型输出中提取 标签内容的各种形态。"""
- from nodes.vlm import _extract_gettext
-
- # 正常：标签包裹的内容被提取。
- assert _extract_gettext("还有没有什么困扰 或者奇怪的地方吗") == (
- "还有没有什么困扰 或者奇怪的地方吗"
- )
- # 空标签：返回空字符串。
- assert _extract_gettext("前缀后缀") == ""
- # 多个标签（重复循环）：只取第一个。
- assert _extract_gettext("SUB 001SUB 001") == "SUB 001"
- # 跨行内容：DOTALL 让 . 匹配换行。
- assert _extract_gettext("第一行\n第二行") == "第一行\n第二行"
- # 未按格式输出（无标签）：回退原始文本，保持旧行为。
- assert _extract_gettext("没有标签的裸文本") == "没有标签的裸文本"
-
-
-def test_vlm_gettext_in_invoke(tmp_path, monkeypatch) -> None:
- """验证整条调用链：模型返回 包裹内容时，产物只含标签内文本。"""
- from nodes.vlm import invoke as vlm_invoke
-
- image = _real_png(tmp_path)
-
- def fake_urlopen(request, timeout):
- return FakeChatResponse("SUB 001 围栏垃圾```")
-
- monkeypatch.setattr("nodes.vlm.urllib.request.urlopen", fake_urlopen)
- response = vlm_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"image_uri": str(image)},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "completed", response.error
- assert response.outputs["text"] == "SUB 001"
-
-def test_vlm_truncate_at_stop() -> None:
- """验证多个终止序列的截断：取最先命中位置，未命中原样返回。"""
- from nodes.vlm import _truncate_at_stop
-
- # 命中 "\n答"（位置更靠前）。
- assert _truncate_at_stop("SUB 001\n答：重复") == "SUB 001"
- # 未命中 "\n答" 但命中单个 "答"。
- assert _truncate_at_stop("SUB 001 答") == "SUB 001 "
- # 多个序列均命中：取最早出现的位置（"答" 在 "答：" 之前）。
- assert _truncate_at_stop("SUB 001答\n答：循环") == "SUB 001"
- # 未命中任何序列：原样返回。
- assert _truncate_at_stop("还有没有什么困扰 或者奇怪的地方吗") == (
- "还有没有什么困扰 或者奇怪的地方吗"
- )
-
-
-# ---------------------------------------------------------------------------
-# decode_full：无 VAD 整段解码 + 日语幻觉清洗（TDD）
-# ---------------------------------------------------------------------------
-
-
-def test_whisper_decode_full_disables_vad(tmp_path, monkeypatch) -> None:
- """decode_full=true 时 transcribe 收到 vad_filter=False 且不触发自动 VAD。"""
- captured = {}
-
- class FullModel:
- def __init__(self, *args, **kwargs):
- pass
-
- def transcribe(self, path, **kwargs):
- captured["vad_filter"] = kwargs.get("vad_filter")
- captured["vad_parameters"] = kwargs.get("vad_parameters")
- return ([FakeSegment(0, 1, "ok")], None)
-
- monkeypatch.setitem(
- sys.modules, "faster_whisper", types.SimpleNamespace(WhisperModel=lambda *a, **k: FullModel())
- )
- _make_wav(tmp_path / "audio.wav", 5)
- # 默认 vad_filter=true（保持现状），显式 decode_full=true 强制无 VAD 整段解码。
- resp = whisper_invoke(
- _whisper_request(tmp_path, params={"language": "ja", "decode_full": True})
- )
- assert resp.status == "completed"
- assert captured["vad_filter"] is False
- assert captured["vad_parameters"] is None
-
-
-def test_whisper_decode_full_cleanup_jp_hallucination(tmp_path, monkeypatch) -> None:
- """decode_full=true 时产物 SRT 中日文长时寒暄幻觉被**整条删除**（连带时间戳）。"""
- class HallucModel:
- def __init__(self, *args, **kwargs):
- pass
-
- def transcribe(self, path, **kwargs):
- # 模拟无 VAD 解码：正常句 + 一条 30s '晚安'幻觉占位 + 一条 2s 真实晚安。
- return (
- [
- FakeSegment(0, 2, "気持ちいい"),
- FakeSegment(10, 40, "おやすみなさい"), # 30s 幻觉
- FakeSegment(45, 47, "おやすみなさい"), # 2s 真实
- ],
- None,
- )
-
- monkeypatch.setitem(
- sys.modules, "faster_whisper", types.SimpleNamespace(WhisperModel=lambda *a, **k: HallucModel())
- )
- _make_wav(tmp_path / "audio.wav", 5)
- resp = whisper_invoke(
- _whisper_request(tmp_path, params={"language": "ja", "decode_full": True})
- )
- assert resp.status == "completed"
- content = Path(resp.outputs["srt_uri"]).read_text(encoding="utf-8")
- # 30s 幻觉整条删除（时间轴 10-40s 不出现）；2s 真实晚安与正常句保留。
- assert "気持ちいい" in content
- assert content.count("おやすみなさい") == 1
- assert "00:00:10,000 --> 00:00:40,000" not in content
- # 不残留 '-' 占位（时间轴里的 '-' 是 SRT 合法分隔符，只检查文本行）。
- text_lines = [
- l for l in content.splitlines()
- if l.strip() and not l.strip().isdigit() and "-->" not in l
- ]
- assert all(t != "-" for t in text_lines)
-
-
-def test_whisper_decode_full_filters_short_moan(tmp_path, monkeypatch) -> None:
- """decode_full=true 时纯呻吟碎片整条删除，真实短词保留（2026-09 决策）。"""
- class MoanModel:
- def __init__(self, *args, **kwargs):
- pass
-
- def transcribe(self, path, **kwargs):
- # 混合：正常句 + 纯呻吟碎片 + 真实短词（都应保留）。
- return (
- [
- FakeSegment(0, 2, "気持ちいい"), # 正常
- FakeSegment(2, 3, "あ〜"), # 纯呻吟 → 删
- FakeSegment(3, 4, "ん？"), # 纯呻吟 → 删
- FakeSegment(4, 5, "そこ"), # 真实短词 → 保留
- FakeSegment(5, 6, "やばい"), # 真实短词 → 保留
- ],
- None,
- )
-
- monkeypatch.setitem(
- sys.modules, "faster_whisper", types.SimpleNamespace(WhisperModel=lambda *a, **k: MoanModel())
- )
- _make_wav(tmp_path / "audio.wav", 5)
- resp = whisper_invoke(
- _whisper_request(tmp_path, params={"language": "ja", "decode_full": True})
- )
- assert resp.status == "completed"
- content = Path(resp.outputs["srt_uri"]).read_text(encoding="utf-8")
- # 纯呻吟碎片被整条删除；真实短词与正常句保留。
- assert "あ〜" not in content
- assert "ん？" not in content
- assert "気持ちいい" in content
- assert "そこ" in content
- assert "やばい" in content
- assert content.count("-->") == 3 # 5 段 - 2 段呻吟 = 3 条
-
-
-def test_whisper_decode_full_short_moan_can_disable(tmp_path, monkeypatch) -> None:
- """short_moan_max_chars=0 时关闭短呻吟过滤，所有内容原样保留。"""
- class MoanModel2:
- def __init__(self, *args, **kwargs):
- pass
-
- def transcribe(self, path, **kwargs):
- return ([FakeSegment(0, 1, "あ〜"), FakeSegment(1, 2, "そこ")], None)
-
- monkeypatch.setitem(
- sys.modules, "faster_whisper", types.SimpleNamespace(WhisperModel=lambda *a, **k: MoanModel2())
- )
- _make_wav(tmp_path / "audio.wav", 5)
- resp = whisper_invoke(
- _whisper_request(
- tmp_path,
- params={"language": "ja", "decode_full": True, "short_moan_max_chars": 0},
- )
- )
- assert resp.status == "completed"
- content = Path(resp.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert "あ〜" in content
- assert "そこ" in content
- assert content.count("-->") == 2
-
-
-
-
diff --git a/tests/test_ocr_flow.py b/tests/test_ocr_flow.py
deleted file mode 100644
index ea09af5..0000000
--- a/tests/test_ocr_flow.py
+++ /dev/null
@@ -1,569 +0,0 @@
-"""抽帧与字幕 OCR 节点单元测试。
-
-frame-extract 用 testdata 真实视频抽帧+裁切+720p 压缩；subtitle-ocr 的 OCR
-网络调用（vlm-ocr）按 I/O 边界 mock，但喂给它的帧图片是真实的 testdata 资产。
-应用层不再加工模型输出文本，只做长度上限校验（超长报错跳过）。
-"""
-
-import json
-from pathlib import Path
-
-from wov_sdk.models import InvokeRequest, InvokeResponse
-
-from nodes.frame_extract import invoke as frame_invoke
-from nodes.subtitle_ocr import _assemble_srt
-from nodes.subtitle_ocr import invoke as ocr_invoke
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-TESTDATA = WORKSPACE / "testdata"
-# 10s 测试视频：SUB 001 在 1-4s、SUB 002 在 6-9s。
-VIDEO = TESTDATA / "subtitle_10s.mp4"
-TEXT_IMG = TESTDATA / "ocr_text.png"
-
-
-def _png_size(path: Path) -> tuple[int, int]:
- """从 PNG 头读取宽高（真实图片尺寸断言）。"""
- data = path.read_bytes()
- assert data[:8] == b"\x89PNG\r\n\x1a\n", "not a real png"
- width = int.from_bytes(data[16:20], "big")
- height = int.from_bytes(data[20:24], "big")
- return width, height
-
-
-def _frame_request(tmp_path, video=VIDEO, **params) -> InvokeRequest:
- """构造 frame-extract 调用请求。"""
- return InvokeRequest(
- run_id="run_fx",
- node_instance_id="",
- inputs={"video_uri": str(video)},
- params=params,
- output_dir=str(tmp_path / "out"),
- )
-
-
-# ---------------------------------------------------------------------------
-# frame-extract：抽帧 + 裁切 + 720p 压缩
-# ---------------------------------------------------------------------------
-
-
-def test_frame_extract_crop_and_manifest(tmp_path) -> None:
- """真实视频抽帧：裁切下半 50% 后帧尺寸为 1280x360，清单时间轴正确。"""
- response = frame_invoke(
- _frame_request(tmp_path, interval_seconds=1, crop=[0, 0.5, 1, 0.5])
- )
- assert response.status == "completed", response.error
- manifest = json.loads(Path(response.outputs["frames_manifest"]).read_text(encoding="utf-8"))
- assert len(manifest) >= 9
- assert [round(item["time"], 3) for item in manifest] == [
- round(i * 1.0, 3) for i in range(len(manifest))
- ]
- first = Path(manifest[0]["image_uri"])
- assert first.is_file()
- # 1280x360 已在 720p 内，压缩不改变尺寸。
- assert _png_size(first) == (1280, 360)
-
-
-def test_frame_extract_default_params(tmp_path) -> None:
- """未指定参数时使用默认值：抽帧间隔 0.5 秒 + 默认底部裁切区域。"""
- response = frame_invoke(_frame_request(tmp_path))
- assert response.status == "completed", response.error
- manifest = json.loads(Path(response.outputs["frames_manifest"]).read_text(encoding="utf-8"))
- assert manifest
- # 默认间隔 0.5s：25fps 下 step=round(12.5)=12（银行家舍入），
- # 帧时间按 step/fps=12/25=0.48s 步进（帧号精确，采样周期由帧量化决定）。
- assert [round(item["time"], 3) for item in manifest] == [
- round(i * 12 / 25, 3) for i in range(len(manifest))
- ]
-
-def test_frame_extract_missing_video(tmp_path) -> None:
- """缺少 video_uri 时返回失败。"""
- response = frame_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="", inputs={}, output_dir=str(tmp_path)
- )
- )
- assert response.status == "failed"
-
-
-def test_frame_extract_bad_crop(tmp_path) -> None:
- """crop 比例越界（超出画面）时返回失败。"""
- assert frame_invoke(_frame_request(tmp_path, crop=[0, 0.5, 1, 1.5])).status == "failed"
- assert frame_invoke(_frame_request(tmp_path, crop=[-0.1, 0, 1, 0.5])).status == "failed"
- assert frame_invoke(_frame_request(tmp_path, crop="abc")).status == "failed"
- assert frame_invoke(_frame_request(tmp_path, crop=[0, 0.5, 1])).status == "failed"
- # 各值域合法但 x+w 越出画面。
- assert frame_invoke(_frame_request(tmp_path, crop=[0.6, 0, 0.5, 0.3])).status == "failed"
-
-
-def test_frame_extract_video_missing_file(tmp_path) -> None:
- """video_uri 指向不存在的文件时返回失败。"""
- response = frame_invoke(_frame_request(tmp_path, video=tmp_path / "none.mp4"))
- assert response.status == "failed"
- assert "not found" in response.error
-
-
-def test_frame_extract_bad_interval(tmp_path) -> None:
- """间隔 <= 0 时返回失败。"""
- response = frame_invoke(_frame_request(tmp_path, interval_seconds=0))
- assert response.status == "failed"
-
-
-def test_frame_extract_ffmpeg_fails(monkeypatch, tmp_path) -> None:
- """ffmpeg 抽帧失败时透传错误。"""
- import subprocess as sp
-
- monkeypatch.setattr("nodes.frame_extract._video_size", lambda *a, **k: (1280, 720))
- monkeypatch.setattr("nodes.frame_extract._video_fps", lambda *a, **k: 25.0)
- monkeypatch.setattr("nodes.frame_extract._video_duration", lambda *a, **k: 10.0)
- monkeypatch.setattr(
- "nodes.frame_extract.subprocess.run",
- lambda *a, **k: sp.CompletedProcess([], 1, stderr="boom"),
- )
- response = frame_invoke(_frame_request(tmp_path))
- assert response.status == "failed"
- assert "boom" in response.error
-
-
-def test_video_size_unreadable(monkeypatch) -> None:
- """ffmpeg -i 输出不含视频流信息时返回 None。"""
- import subprocess as sp
-
- from nodes.frame_extract import _video_size
-
- monkeypatch.setattr(
- "nodes.frame_extract.subprocess.run",
- lambda *a, **k: sp.CompletedProcess([], 0, stderr="no video stream"),
- )
- assert _video_size(Path("/tmp/x.mp4"), "ffmpeg") is None
-
-
-def test_frame_extract_video_size_unknown(monkeypatch, tmp_path) -> None:
- """无法读取视频分辨率时返回失败。"""
- monkeypatch.setattr("nodes.frame_extract._video_size", lambda *a, **k: None)
- response = frame_invoke(_frame_request(tmp_path))
- assert response.status == "failed"
- assert "video size" in response.error
-
-
-def test_video_duration_unreadable(monkeypatch) -> None:
- """ffmpeg -i 输出缺少 Duration 时返回 None。"""
- import subprocess as sp
-
- from nodes.frame_extract import _video_duration
-
- monkeypatch.setattr(
- "nodes.frame_extract.subprocess.run",
- lambda *a, **k: sp.CompletedProcess([], 0, stderr="no duration info"),
- )
- assert _video_duration(Path("/tmp/x.mp4"), "ffmpeg") is None
-
-
-class _FakeReader:
- """模拟 stderr 读取对象。"""
-
- def __init__(self, content: str = "") -> None:
- self._content = content
-
- def read(self) -> str:
- return self._content
-
-
-class FakePopen:
- """模拟 ffmpeg 进程：stdout 可迭代 -progress 行，可配置返回码与 stderr。"""
-
- def __init__(self, lines=(), returncode: int = 0, stderr: str = "") -> None:
- self.stdout = list(lines)
- self.stderr = _FakeReader(stderr)
- self.returncode = returncode
-
- def wait(self) -> int:
- return self.returncode
-
-
-def _fake_popen(lines=(), returncode: int = 0, stderr: str = ""):
- """构造替换 subprocess.Popen 的工厂函数。"""
- return lambda *a, **k: FakePopen(lines, returncode, stderr)
-
-
-def test_parse_progress_line() -> None:
- """-progress 行解析：frame=N 返回数值，其他行与非法值返回 None。"""
- from nodes.frame_extract import _parse_progress_line
-
- assert _parse_progress_line("frame=25\n") == 25
- assert _parse_progress_line("progress=continue") is None
- assert _parse_progress_line("fps=25.0") is None
- assert _parse_progress_line("frame=abc") is None
-
-
-def test_frame_extract_progress_logging(monkeypatch, tmp_path) -> None:
- """ffmpeg -progress 的 frame=N 被解析并打印抽帧进度与速度。"""
- import logging
-
- monkeypatch.setattr("nodes.frame_extract._video_size", lambda *a, **k: (1280, 720))
- monkeypatch.setattr("nodes.frame_extract._video_fps", lambda *a, **k: 25.0)
- monkeypatch.setattr("nodes.frame_extract._video_duration", lambda *a, **k: 10.0)
- monkeypatch.setattr(
- "nodes.frame_extract.subprocess.Popen",
- _fake_popen(lines=["fps=25.0", "frame=20", "progress=continue", "frame=50", "progress=continue"]),
- )
- captured: list[str] = []
-
- class CaptureHandler(logging.Handler):
- def emit(self, record):
- captured.append(record.getMessage())
-
- logger = logging.getLogger("vrsub.frame-extract")
- logger.addHandler(CaptureHandler())
- try:
- response = frame_invoke(_frame_request(tmp_path))
- finally:
- logger.removeHandler(logger.handlers[-1])
- assert response.status == "completed", response.error
- assert any("抽帧进度" in message and "帧/s" in message for message in captured)
-
-
-def test_frame_extract_ffmpeg_fails(monkeypatch, tmp_path) -> None:
- """ffmpeg 抽帧失败时透传错误。"""
- monkeypatch.setattr("nodes.frame_extract._video_size", lambda *a, **k: (1280, 720))
- monkeypatch.setattr("nodes.frame_extract._video_fps", lambda *a, **k: 25.0)
- monkeypatch.setattr("nodes.frame_extract._video_duration", lambda *a, **k: 10.0)
- monkeypatch.setattr(
- "nodes.frame_extract.subprocess.Popen",
- _fake_popen(lines=["frame=1", "progress=end"], returncode=1, stderr="boom"),
- )
- response = frame_invoke(_frame_request(tmp_path))
- assert response.status == "failed"
- assert "boom" in response.error
-
-
-def test_frame_extract_duration_unknown(monkeypatch, tmp_path) -> None:
- """无法读取视频时长时返回失败。"""
- monkeypatch.setattr("nodes.frame_extract._video_size", lambda *a, **k: (1280, 720))
- monkeypatch.setattr("nodes.frame_extract._video_duration", lambda *a, **k: None)
- response = frame_invoke(_frame_request(tmp_path))
- assert response.status == "failed"
- assert "duration" in response.error
-
-
-def test_frame_extract_fps_unknown(monkeypatch, tmp_path) -> None:
- """无法读取视频帧率时返回失败。"""
- monkeypatch.setattr("nodes.frame_extract._video_size", lambda *a, **k: (1280, 720))
- monkeypatch.setattr("nodes.frame_extract._video_duration", lambda *a, **k: 10.0)
- monkeypatch.setattr("nodes.frame_extract._video_fps", lambda *a, **k: None)
- response = frame_invoke(_frame_request(tmp_path))
- assert response.status == "failed"
- assert "fps" in response.error
-
-def test_frame_step_conversion() -> None:
- """帧间隔换算：step=round(间隔秒×fps)，至少为 1。"""
- from nodes.frame_extract import _frame_step
-
- assert _frame_step(fps=25.0, interval=0.2) == 5
- assert _frame_step(fps=25.0, interval=1.0) == 25
- assert _frame_step(fps=29.97, interval=1.0) == 30
- # fps 很低时 step 也不会小于 1（每帧都取）。
- assert _frame_step(fps=1.0, interval=0.2) == 1
-
-
-def test_video_fps_parse(monkeypatch) -> None:
- """帧率解析：支持小数（29.97）与有理数（30000/1001）。"""
- import subprocess as sp
-
- from nodes.frame_extract import _video_fps
-
- monkeypatch.setattr(
- "nodes.frame_extract.subprocess.run",
- lambda *a, **k: sp.CompletedProcess(
- [], 0, stderr="Stream #0:0: Video: h264, 1280x720, 30000/1001 fps, 30000/1001 tbr"
- ),
- )
- assert _video_fps(Path("/tmp/x.mp4"), "ffmpeg") == 30000 / 1001
- monkeypatch.setattr(
- "nodes.frame_extract.subprocess.run",
- lambda *a, **k: sp.CompletedProcess(
- [], 0, stderr="Stream #0:0: Video: h264, 1280x720, 25 fps, 25 tbr"
- ),
- )
- assert _video_fps(Path("/tmp/x.mp4"), "ffmpeg") == 25.0
- monkeypatch.setattr(
- "nodes.frame_extract.subprocess.run",
- lambda *a, **k: sp.CompletedProcess([], 0, stderr="no video stream"),
- )
- assert _video_fps(Path("/tmp/x.mp4"), "ffmpeg") is None
-
-def test_frame_extract_one_second_exact_frames(tmp_path) -> None:
- """真实视频 1s 间隔按秒 seek 精确抽帧：10s 视频应得 10 帧，时间 0..9。"""
- response = frame_invoke(
- _frame_request(tmp_path, interval_seconds=1, crop=[0, 0.7, 1, 0.3])
- )
- assert response.status == "completed", response.error
- manifest = json.loads(Path(response.outputs["frames_manifest"]).read_text(encoding="utf-8"))
- assert [round(item["time"], 3) for item in manifest] == [
- round(i * 1.0, 3) for i in range(len(manifest))
- ]
- assert len(manifest) == 10
-
-
-def test_frame_files_read_order_matches_frame_number(tmp_path) -> None:
- """真实任务留存数据：帧文件按帧号数值排序读取，而非字典序。
-
- 回归用例：ffmpeg 的 %04d 编号在超过 9999 帧后自动扩为 5 位
- （frame_10000.png 等），此时 sorted() 默认字典序会把 5 位编号排在
- 4 位编号之前（如 frame_10009 < frame_1009），导致帧号回退、manifest
- 时间与图像错位。testdata/frames_boundary/ 是 2026-08 真实任务
- run_339ec7ee437f（14236 帧 / 2 小时视频）中跨越该边界的真实帧文件。
- """
- from nodes.frame_extract import _sorted_frame_files
-
- boundary = TESTDATA / "frames_boundary"
- files = _sorted_frame_files(boundary)
- # 从文件名解析帧号：读取顺序必须等于帧号数值递增序（无回退）。
- nums = [int(p.stem.split("_", 1)[1]) for p in files]
- assert nums == sorted(nums)
- # 边界关键对：5 位编号必须排在 4 位编号之后，禁止字典序错位。
- assert nums.index(10000) > nums.index(9999)
- assert nums.index(10009) > nums.index(1009)
-
-# ---------------------------------------------------------------------------
-# subtitle-ocr：OCR 循环 + 长度上限 + 合并 + SRT 组装
-# ---------------------------------------------------------------------------
-
-
-def _frames_manifest(tmp_path, frame_specs) -> Path:
- """构造真实 frames.json；frame_specs=[(time, image_path), ...]。"""
- items = [{"time": time, "image_uri": str(image)} for time, image in frame_specs]
- path = tmp_path / "frames.json"
- path.write_text(json.dumps(items), encoding="utf-8")
- return path
-
-
-def test_assemble_srt_real_timeline() -> None:
- """SRT 组装：起始=帧时间，结束=最后可见帧时间+采样间隔。"""
- lines = _assemble_srt([(0.0, 6.0, "A"), (6.0, 8.0, "B")], interval_seconds=2.0)
- text = "\n".join(lines)
- assert text.startswith("1\n")
- # A 最后可见帧 6.0 + 间隔 2.0 = 8.0（而非下一条字幕的出现时间）。
- assert "00:00:00,000 --> 00:00:08,000" in text
- assert "00:00:06,000 --> 00:00:10,000" in text
-
-
-def test_sampling_interval_from_manifest() -> None:
- """采样间隔从帧清单时间轴推导：均匀间隔取相邻差，退化清单回退默认值。"""
- from nodes.subtitle_ocr import _sampling_interval
-
- manifest = [{"time": i * 0.2, "image_uri": f"f{i}.png"} for i in range(10)]
- assert _sampling_interval(manifest, 2.0) == 0.2
- # 单帧（无法算差）与异常时间序：回退默认值。
- assert _sampling_interval([{"time": 0.0, "image_uri": "f0.png"}], 2.0) == 2.0
- assert _sampling_interval(
- [{"time": 0.0}, {"time": 0.0}, {"time": 0.2}], 2.0
- ) == 0.2
-
-def test_ocr_merges_consecutive_same_text(monkeypatch, tmp_path) -> None:
- """连续帧相同字幕合并为一条；消失时间=最后可见帧+间隔，空白段保留。"""
- # SUB 001 在 0/2s，4s 为空帧，SUB 002 在 6/8s。
- frame_texts = [
- (0.0, "SUB 001"), (2.0, "SUB 001"), (4.0, ""),
- (6.0, "SUB 002"), (8.0, "SUB 002"),
- ]
- frames = []
- for index, (time, _text) in enumerate(frame_texts):
- image = tmp_path / f"f{index}.png"
- image.write_bytes(TEXT_IMG.read_bytes())
- frames.append((time, image))
- mapping = {str(image): text for (time, image), (_, text) in zip(frames, frame_texts)}
-
- def fake_vlm(node_id, request):
- return InvokeResponse(status="completed", outputs={"text": mapping[request.inputs["image_uri"]]})
-
- monkeypatch.setattr("wov_app.registry.invoke", fake_vlm)
- manifest = _frames_manifest(tmp_path, frames)
- response = ocr_invoke(
- InvokeRequest(
- run_id="run_ocr",
- node_instance_id="",
- inputs={"frames_manifest": str(manifest)},
- params={},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- srt = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert srt.count("SUB 001") == 1
- assert srt.count("SUB 002") == 1
- # SUB 001 最后可见帧 2.0 + 间隔 2.0 = 4.0 消失（而非拖到 SUB 002 出现）。
- assert "00:00:00,000 --> 00:00:04,000" in srt
- assert "00:00:06,000 --> 00:00:10,000" in srt
-
-
-def test_ocr_preserves_checkpoint_for_failed_frames(monkeypatch, tmp_path) -> None:
- """个别帧持续失败时返回 failed，其余成功帧存档供重试复用。"""
- frames = []
- for index in range(3):
- image = tmp_path / f"f{index}.png"
- image.write_bytes(TEXT_IMG.read_bytes())
- frames.append((index * 2.0, image))
-
- def fake_vlm(node_id, request):
- if "f1" in request.inputs["image_uri"]:
- return InvokeResponse(status="failed", error="boom")
- return InvokeResponse(status="completed", outputs={"text": "SUB 001"})
-
- monkeypatch.setattr("wov_app.registry.invoke", fake_vlm)
- manifest = _frames_manifest(tmp_path, frames)
- response = ocr_invoke(
- InvokeRequest(
- run_id="run_ocr",
- node_instance_id="",
- inputs={"frames_manifest": str(manifest)},
- params={},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "failed"
- partial = [json.loads(line) for line in (tmp_path / "out/ocr_partial.jsonl").read_text().splitlines()]
- assert {item["frame"] for item in partial} == {0, 2}
- assert all(item["text"] == "SUB 001" for item in partial)
- assert not (tmp_path / "out/subtitle.srt").exists()
-
-
-def test_ocr_missing_manifest(tmp_path) -> None:
- """缺少 frames_manifest 或清单文件不存在时返回失败。"""
- response = ocr_invoke(
- InvokeRequest(run_id="r", node_instance_id="", inputs={}, output_dir=str(tmp_path))
- )
- assert response.status == "failed"
- response = ocr_invoke(
- InvokeRequest(
- run_id="r", node_instance_id="",
- inputs={"frames_manifest": str(tmp_path / "none.json")},
- output_dir=str(tmp_path),
- )
- )
- assert response.status == "failed"
-
-
-def test_ocr_skips_oversized_output(monkeypatch, tmp_path) -> None:
- """超长输出（模型重复循环等）直接报错跳过该帧，不进入 SRT。"""
- frames = []
- for index in range(3):
- image = tmp_path / f"o{index}.png"
- image.write_bytes(TEXT_IMG.read_bytes())
- frames.append((index * 2.0, image))
-
- def fake_vlm(node_id, request):
- if "o0" in request.inputs["image_uri"]:
- return InvokeResponse(status="completed", outputs={"text": "重复字幕\n" * 50})
- if "o1" in request.inputs["image_uri"]:
- # 空输出帧跳过。
- return InvokeResponse(status="completed", outputs={"text": ""})
- return InvokeResponse(status="completed", outputs={"text": "SUB 001"})
-
- monkeypatch.setattr("wov_app.registry.invoke", fake_vlm)
- manifest = _frames_manifest(tmp_path, frames)
- response = ocr_invoke(
- InvokeRequest(
- run_id="run_ocr",
- node_instance_id="",
- inputs={"frames_manifest": str(manifest)},
- params={"max_result_chars": 200},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- srt = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert "SUB 001" in srt
- assert "重复字幕" not in srt
-
-
-def test_ocr_passes_short_text_through(monkeypatch, tmp_path) -> None:
- """不超过上限的模型输出原样进入 SRT（不再做应用层过滤）。"""
- image = tmp_path / "s0.png"
- image.write_bytes(TEXT_IMG.read_bytes())
- frames = [(0.0, image)]
-
- def fake_vlm(node_id, request):
- return InvokeResponse(status="completed", outputs={"text": " SUB 001 "})
-
- monkeypatch.setattr("wov_app.registry.invoke", fake_vlm)
- manifest = _frames_manifest(tmp_path, frames)
- response = ocr_invoke(
- InvokeRequest(
- run_id="run_ocr", node_instance_id="",
- inputs={"frames_manifest": str(manifest)},
- params={},
- output_dir=str(tmp_path / "out"),
- )
- )
- assert response.status == "completed", response.error
- srt = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert "SUB 001" in srt
-
-
-def test_ocr_interrupts_on_pause_flag(monkeypatch, tmp_path) -> None:
- """暂停信号：任务被暂停（paused.flag 存在）时 OCR 立即中断。
-
- output_dir = /runs//steps/ocr，run 根目录为其父父目录；
- 调度器/API 在暂停时向 run 根写入 paused.flag，节点逐帧检查到即中止：
- 不调用 vlm-ocr、不写该帧断点存档，invoke 返回 failed（由调度器识别为
- "被暂停"并保持 PAUSED，等待 resume 后从断点续跑）。
- """
- image = tmp_path / "s0.png"
- image.write_bytes(TEXT_IMG.read_bytes())
- frames = [(i * 2.0, image) for i in range(4)]
-
- # 暂停信号位于 run 根目录（steps/ocr 的父父目录）。
- run_root = tmp_path / "run_root"
- out_dir = run_root / "steps" / "ocr"
- out_dir.mkdir(parents=True)
- (run_root / "paused.flag").write_text("", encoding="utf-8")
-
- calls: list[str] = []
-
- def fake_vlm(node_id, request):
- calls.append(request.inputs["image_uri"])
- return InvokeResponse(status="completed", outputs={"text": "SUB 001"})
-
- monkeypatch.setattr("wov_app.registry.invoke", fake_vlm)
- manifest = _frames_manifest(tmp_path, frames)
- response = ocr_invoke(
- InvokeRequest(
- run_id="run_paused_flag",
- node_instance_id="",
- inputs={"frames_manifest": str(manifest)},
- params={},
- output_dir=str(out_dir),
- )
- )
- # 节点以"被暂停"失败：调度器会据此保持 PAUSED 而不标 FAILED。
- assert response.status == "failed"
- assert "暂停" in (response.error or "")
- assert calls == [] # 一帧都没有真正 OCR。
- assert not (out_dir / "ocr_partial.jsonl").exists() # 未处理帧不入存档。
-
-
-def test_format_eta() -> None:
- """预计剩余时间的格式化：秒/分/小时三种量级与边界值。"""
- from nodes.subtitle_ocr import _format_eta
-
- assert _format_eta(0) == "0秒"
- assert _format_eta(59.9) == "59秒" # 不足 1 分只显示秒。
- assert _format_eta(61) == "1分01秒"
- assert _format_eta(2058.4) == "34分18秒"
- assert _format_eta(3600) == "1小时00分" # 1 小时整。
- assert _format_eta(3725) == "1小时02分" # 超过 1 小时只显示到分钟。
- assert _format_eta(-5) == "0秒" # 负数钳制为 0。
-
-
-def test_eta_suffix() -> None:
- """进度日志的 ETA 后缀：速度为 0 不显示，速度正常时按剩余帧估算。"""
- from nodes.subtitle_ocr import _eta_suffix
-
- # 速率未知（0/负）→ 不显示 ETA。
- assert _eta_suffix(done=100, total=100, rate=0) == ""
- assert _eta_suffix(done=100, total=100, rate=-1) == ""
- # 2673/22222 帧、9.5 帧/s：剩余 (22222-2673)/9.5 ≈ 2057.8s ≈ 34分。
- assert _eta_suffix(done=2673, total=22222, rate=9.5) == ", 预计剩余 34分17秒"
- # 全部完成时剩余 0 秒。
- assert _eta_suffix(done=22222, total=22222, rate=9.5) == ", 预计剩余 0秒"
diff --git a/tests/test_ocr_recovery.py b/tests/test_ocr_recovery.py
deleted file mode 100644
index 7effa21..0000000
--- a/tests/test_ocr_recovery.py
+++ /dev/null
@@ -1,66 +0,0 @@
-"""R06：真实图片清单上的临时网络故障、空帧与跨空白字幕段回归。"""
-
-import json
-from pathlib import Path
-
-import pytest
-
-from nodes import subtitle_ocr
-from wov_sdk.models import InvokeRequest, InvokeResponse
-
-
-def test_identical_text_separated_by_blank_is_two_cues():
- """A、空白、A 不能合并，否则字幕会覆盖原本无文字的时段。"""
- manifest = [{"time": i * 0.5} for i in range(4)]
- assert subtitle_ocr._merge_kept(manifest, ["你好", "你好", "", "你好"]) == [
- (0.0, 0.5, "你好"), (1.5, 1.5, "你好")]
-
-
-@pytest.mark.parametrize("raises", [False, True])
-def test_failed_frame_retries_and_resume_preserves_success(monkeypatch, tmp_path, raises):
- """失败帧单独重试，持续故障不存为空；下次只补失败帧，成功空帧不重做。"""
- assets = Path(__file__).resolve().parent.parent / "testdata"
- image = assets / "ocr_text.png"
- empty = assets / "ocr_notext.png"
- if not image.is_file() or not empty.is_file():
- pytest.skip("缺少真实 OCR 图片")
- manifest = tmp_path / "frames.json"
- manifest.write_text(json.dumps([{"time": 0, "image_uri": str(empty)},
- {"time": 0.5, "image_uri": str(image)}]))
- out = tmp_path / "out"
- request = InvokeRequest(run_id="r", node_instance_id="", inputs={"frames_manifest": str(manifest)}, output_dir=str(out))
- calls = []
- broken = True
-
- def invoke(node_id, req):
- uri = req.inputs["image_uri"]
- calls.append(uri)
- if uri == str(image) and broken:
- if raises:
- raise TimeoutError("timeout")
- return InvokeResponse(status="failed", error="timeout")
- return InvokeResponse(status="completed", outputs={"text": "" if uri == str(empty) else "你好"})
-
- monkeypatch.setattr("wov_app.registry.invoke", invoke)
- response = subtitle_ocr.invoke(request)
- assert response.status == "failed"
- assert calls.count(str(image)) == 2
- assert calls.count(str(empty)) == 1
- partial = [json.loads(line) for line in (out / "ocr_partial.jsonl").read_text().splitlines()]
- assert partial == [{"frame": 0, "text": "", "status": "completed"}]
- assert not (out / "subtitle.srt").exists()
- broken = False
- calls.clear()
- response = subtitle_ocr.invoke(request)
- assert response.status == "completed"
- assert calls == [str(image)]
- assert "你好" in Path(response.outputs["srt_uri"]).read_text()
-
-
-def test_legacy_empty_checkpoint_is_rechecked(tmp_path):
- """旧版空串可能来自超时，不能当成确认无文字；旧版非空成功结果可复用。"""
- (tmp_path / "ocr_partial.jsonl").write_text(
- json.dumps({"frame": 0, "text": ""}) + "\n" +
- json.dumps({"frame": 1, "text": "你好"}, ensure_ascii=False) + "\n" +
- json.dumps({"frame": 2, "text": "", "status": "completed"}) + "\n")
- assert subtitle_ocr._load_partial(tmp_path) == {1: "你好", 2: ""}
diff --git a/tests/test_proper_nouns.py b/tests/test_proper_nouns.py
deleted file mode 100644
index 1e916de..0000000
--- a/tests/test_proper_nouns.py
+++ /dev/null
@@ -1,110 +0,0 @@
-"""专有名词（不应直译）处理规则测试（先红后绿）。
-
-背景（实测 run 20260905115050）：字幕中片假名专名被 LLM 按读音硬译——
-'ジンゴ' 被误译成 '芒果'（4500s"看，跟芒果摩擦好多"），参考正确为
-'肉棒摩擦小穴' 等；人名 'カンタくん' 被保留日文而非音译。LLM 需被告知
-这些专名/拟声词的正确处理方式。
-
-方案（用户确认）：整理专名表，翻译时若原文命中则向提示词动态注入规则，
-让 LLM 正确处理。本测试验证 `build_proper_noun_rule` 的命中与注入行为
-（纯函数），以及真实数据场景的端到端效果（真实 LLM 集成）。
-"""
-
-from __future__ import annotations
-
-import os
-from pathlib import Path
-
-import pytest
-
-from nodes.proper_nouns import build_proper_noun_rule
-
-WORKSPACE = Path(__file__).resolve().parent.parent
-# 真实中文字幕产物（含"芒果"误译）。目录按实际路径调整。
-PROD = Path("/home/cat/Downloads/39.105.149.197/202609051952/CJOD-255-长视频-单行字幕.zh-CN.20260905115050.srt")
-# 真实日文原文 transcript（含 ジンゴ/カンタくん 等专名）。
-TRANSCR = Path("/home/cat/Downloads/39.105.149.197/202609051737/run_51242078d76e/steps/asr/transcript.srt")
-
-
-def test_rule_returns_none_when_no_proper_noun() -> None:
- """原文不含任何专名时，不注入规则（返回 None），避免干扰普通翻译。"""
- plain = "今天天气真好。\n我们一起去散步吧。"
- assert build_proper_noun_rule(plain) is None
-
-
-def test_rule_injects_for_jingo() -> None:
- """原文含'ジンゴ'（角色/道具专名）时，注入'禁止译作芒果'的规则。"""
- text = "クモ穴にパンパンになって ジンゴがここで味わいませんか"
- rule = build_proper_noun_rule(text)
- assert rule is not None
- assert "ジンゴ" in rule
- assert "芒果" in rule # 提示禁止硬译
- assert "不要按读音或字面硬译" in rule # 提示禁止硬译
-
-def test_rule_injects_for_kanta_kun() -> None:
- """原文含'カンタくん'（人名）时，注入'音译勿保留日文'的规则。"""
- text = "ねえ、カンタくん、4つんばんになってください"
- rule = build_proper_noun_rule(text)
- assert rule is not None
- assert "カンタくん" in rule
- assert "康太君" in rule or "坎塔君" in rule
-
-
-def test_rule_injects_onomatopoeia() -> None:
- """原文含拟声词'パンパン'时，注入'鼓胀、饱满'而非'砰砰'的规则。"""
- text = "クモ穴にパンパンになって"
- rule = build_proper_noun_rule(text)
- assert rule is not None
- assert "パンパン" in rule
- assert "砰砰" in rule # 提示禁止直译
-
-
-def test_rule_list_input() -> None:
- """传入列表（每批字幕行）也能命中。"""
- lines = ["音楽", "ご来店ありがとうございます", "ジンゴがここで味わいませんか"]
- rule = build_proper_noun_rule(lines)
- assert rule is not None
- assert "ジンゴ" in rule
-
-
-def test_rule_injects_adult_euphemism_mango() -> None:
- """成人隐语'マンゴー'：应注入'小穴/鲍鱼'而非直译'芒果'。"""
- text = "クモ穴にマンゴーをこすり合わせて"
- rule = build_proper_noun_rule(text)
- assert rule is not None
- assert "マンゴー" in rule
- assert "小穴" in rule or "鲍鱼" in rule
- assert "芒果" in rule
-
-
-def test_rule_injects_adult_euphemism_kintama() -> None:
- """成人隐语'金玉'：应注入'蛋蛋/睾丸'而非直译'金玉'。"""
- text = "金玉が大きくなってきた"
- rule = build_proper_noun_rule(text)
- assert rule is not None
- assert "金玉" in rule
- assert "蛋蛋" in rule or "睾丸" in rule
-
-
-def test_rule_injects_adult_euphemism_banana() -> None:
- """成人隐语'バナナ'：应注入'肉棒'而非直译'香蕉'。"""
- text = "バナナをしゃぶって"
- rule = build_proper_noun_rule(text)
- assert rule is not None
- assert "バナナ" in rule
- assert "肉棒" in rule or "鸡鸡" in rule
-
-
-@pytest.mark.integration
-def test_real_proper_noun_rule_matches_production_data() -> None:
- """用真实 transcript 验证：含'ジンゴ'的批次确实命中并注入规则。"""
- if not TRANSCR.is_file():
- pytest.skip("缺少真实 transcript.srt，跳过")
- from tests.realdata_contract import parse_srt_entries
-
- entries = parse_srt_entries(TRANSCR.read_text(encoding="utf-8"))
- # 找到含 ジンゴ 的批次（4500-4518s 那批）。
- batch = [e["text"] for e in entries if 4490 <= e["start"] <= 4520]
- rule = build_proper_noun_rule(batch)
- assert rule is not None, "真实数据中含 ジンゴ，应命中专名规则"
- assert "ジンゴ" in rule and "芒果" in rule
\ No newline at end of file
diff --git a/tests/test_registry.py b/tests/test_registry.py
deleted file mode 100644
index 7512418..0000000
--- a/tests/test_registry.py
+++ /dev/null
@@ -1,116 +0,0 @@
-"""进程内节点注册表测试。
-
-覆盖节点注册、全量注册、查询、进程内调用以及未注册节点的报错路径，
-验证注册表作为调度器唯一调用入口的正确性。
-"""
-
-import pytest
-
-from wov_app import registry
-from wov_sdk.models import InvokeRequest, InvokeResponse, NodeManifest
-
-
-def _echo_manifest() -> NodeManifest:
- """构造最小合法 echo 节点清单。"""
- return NodeManifest(
- id="echo",
- name="Echo",
- version="1.0.0",
- capability="echo",
- command=["python", "-m", "echo"],
- repo_dir="nodes",
- )
-
-
-def test_register_and_list() -> None:
- """验证注册后可查询与列出节点，且按 ID 排序。"""
- registry.register(_echo_manifest(), lambda request: InvokeResponse(status="completed"))
- registry.register(
- NodeManifest(
- id="z-node",
- name="Z",
- version="1",
- capability="x",
- command=["python", "-m", "z"],
- repo_dir="nodes",
- ),
- lambda request: InvokeResponse(status="completed"),
- )
- assert [node.id for node in registry.list_nodes()] == ["echo", "z-node"]
- assert registry.get_node("echo").capability == "echo"
- assert registry.get_node("missing") is None
-
-
-def test_register_validation() -> None:
- """验证非法 manifest 注册会被协议校验拒绝。"""
- invalid = _echo_manifest()
- invalid.id = ""
- with pytest.raises(ValueError):
- registry.register(invalid, lambda request: InvokeResponse(status="completed"))
-
-
-def test_register_all_loads_builtin_nodes() -> None:
- """验证 register_all 会加载 manifests/ 下全部内置节点。"""
- registry.register_all()
- ids = {node.id for node in registry.list_nodes()}
- assert {
- "echo",
- "ffmpeg-extract",
- "faster-whisper",
- "llm-translate",
- "vlm-ocr",
- "srt-to-dual-eye-ass",
- } <= ids
-
-
-def test_invoke_calls_handler() -> None:
- """验证 invoke 会把请求转发给注册的进程内处理器。"""
- captured = {}
-
- def handler(request: InvokeRequest) -> InvokeResponse:
- captured["run_id"] = request.run_id
- return InvokeResponse(status="completed", outputs={"text": "ok"})
-
- registry.register(_echo_manifest(), handler)
- response = registry.invoke("echo", InvokeRequest(run_id="run_1", node_instance_id=""))
- assert response.status == "completed"
- assert response.outputs == {"text": "ok"}
- assert captured["run_id"] == "run_1"
-
-
-def test_invoke_unknown_node() -> None:
- """验证调用未注册节点时抛出 ValueError。"""
- with pytest.raises(ValueError, match="not registered"):
- registry.invoke("missing", InvokeRequest(run_id="run_1", node_instance_id=""))
-
-
-def test_invoke_logs_node_lifecycle(caplog) -> None:
- """验证 invoke 会记录节点的开始/完成/耗时日志（主进程可见）。"""
- registry.register(
- _echo_manifest(), lambda request: InvokeResponse(status="completed", outputs={"text": "ok"})
- )
- with caplog.at_level("INFO", logger="vrsub.node"):
- registry.invoke("echo", InvokeRequest(run_id="run_1", node_instance_id=""))
- assert any("节点 echo 开始" in record.message for record in caplog.records)
- assert any("节点 echo 完成" in record.message for record in caplog.records)
-
-
-def test_invoke_logs_node_failure(caplog) -> None:
- """验证节点返回 failed 时记录失败日志。"""
- registry.register(
- _echo_manifest(), lambda request: InvokeResponse(status="failed", error="boom")
- )
- with caplog.at_level("INFO", logger="vrsub.node"):
- registry.invoke("echo", InvokeRequest(run_id="run_1", node_instance_id=""))
- assert any("节点 echo 失败" in record.message for record in caplog.records)
-
-
-def test_get_logger_idempotent() -> None:
- """验证日志器重复获取不会重复附加控制台处理器。"""
- from wov_app.logging import get_logger
-
- logger = get_logger("idempotent")
- handler_count = len(logger.handlers)
- again = get_logger("idempotent")
- assert again is logger
- assert len(again.handlers) == handler_count
diff --git a/tests/test_run_deletion_safety.py b/tests/test_run_deletion_safety.py
deleted file mode 100644
index 86c1c5a..0000000
--- a/tests/test_run_deletion_safety.py
+++ /dev/null
@@ -1,104 +0,0 @@
-"""任务删除安全回归：真实媒体副本验证用户目录与任务私有目录的归属边界。"""
-
-import shutil
-from pathlib import Path
-
-import pytest
-from fastapi.testclient import TestClient
-
-from wov_app.config import STORAGE_DIR
-from wov_app.main import app
-from wov_app.db import Database
-from wov_app.maintenance import OrphanCleaner
-
-
-@pytest.fixture
-def media_library(tmp_path):
- """复制已有真实视频与字幕，任何删除只作用于测试临时目录。"""
- assets = Path(__file__).resolve().parent.parent / "testdata"
- sources = [assets / "subtitle_10s.mp4", assets / "ocr_srt_run_ac7f480a3ccb.srt"]
- if not all(source.is_file() for source in sources):
- pytest.skip("缺少真实视频或字幕测试素材")
- library = tmp_path / "media"
- library.mkdir()
- files = [library / "movie.mp4", library / "movie.CN.srt"]
- for source, target in zip(sources, files):
- shutil.copy2(source, target)
- return files, [path.read_bytes() for path in files]
-
-
-def _create_run(db, run_id, video, source, status):
- """在真实数据库登记任务，不启动模型或调度器。"""
- workflow_id = "delete-safety"
- db.upsert_workflow({"id": workflow_id, "name": "删除安全回归"})
- db.create_run({
- "id": run_id, "workflow_id": workflow_id, "workflow_version": 1,
- "source": source, "status": status, "input_uri": str(video),
- "created_at": "2020-01-01T00:00:00+00:00",
- "updated_at": "2020-01-01T00:00:00+00:00",
- })
- # 登记可读的真实字幕产物，拒绝删除时应连同记录保留。
- db.create_artifact({
- "run_id": run_id, "node_id": "ass", "name": "subtitle",
- "uri": str(video.with_suffix(".CN.srt")), "mime_type": "application/x-subrip",
- })
-
-
-@pytest.mark.parametrize("status", ["QUEUED", "RUNNING", "PAUSED", "FAILED", "COMPLETED"])
-def test_normal_delete_rejects_batch_run(media_library, status):
- """普通 DELETE 对所有状态的批量 run 返回 422，保留媒体与关联数据。"""
- files, contents = media_library
- run_id = f"run_batch_delete_safety_{status.lower()}"
- with TestClient(app) as client:
- db = app.state.db
- _create_run(db, run_id, files[0], "batch", status)
- before = db.get_run(run_id)
- artifacts = db.list_artifacts(run_id)
- response = client.delete(f"/api/runs/{run_id}")
- assert response.status_code == 422
- assert "批量任务" in response.json()["detail"]
- assert db.get_run(run_id) == before
- assert db.list_artifacts(run_id) == artifacts
- assert [path.read_bytes() for path in files] == contents
-
-
-def test_upload_delete_ignores_external_input_parent(media_library):
- """历史上传记录即使指向外部视频，也仅清理按 run_id 定位的私有目录。"""
- files, contents = media_library
- run_id = "run_external_delete_safety"
- with TestClient(app) as client:
- db = app.state.db
- _create_run(db, run_id, files[0], "upload", "FAILED")
- private_dirs = [STORAGE_DIR / kind / run_id for kind in ("uploads", "runs")]
- for directory in private_dirs:
- directory.mkdir(parents=True)
- shutil.copy2(files[1], directory / "subtitle.srt")
- # 同级其他任务目录也不能被扩大范围删除。
- sibling = STORAGE_DIR / "uploads" / "run_neighbor_delete_safety"
- sibling.mkdir(parents=True)
- shutil.copy2(files[1], sibling / "subtitle.srt")
- response = client.delete(f"/api/runs/{run_id}")
- assert response.status_code == 200
- assert db.get_run(run_id) is None
- assert db.list_artifacts(run_id) == []
- assert [path.read_bytes() for path in files] == contents
- assert all(not directory.exists() for directory in private_dirs)
- assert (sibling / "subtitle.srt").read_bytes() == contents[1]
-
-
-def test_orphan_cleanup_ignores_external_input_parent(media_library, tmp_path):
- """自动清理过期上传任务时也不能从 input_uri 推导递归删除范围。"""
- files, contents = media_library
- db = Database(tmp_path / "orphan.db")
- run_id = "run_orphan_delete_safety"
- _create_run(db, run_id, files[0], "upload", "COMPLETED")
- # 产物确实丢失，符合孤儿清理条件；源视频与旁挂字幕仍是用户数据。
- db.delete_run_artifacts(run_id)
- storage = tmp_path / "private"
- upload_dir = storage / "uploads" / run_id
- upload_dir.mkdir(parents=True)
- shutil.copy2(files[0], upload_dir / "movie.mp4")
- OrphanCleaner(db, storage).clean_once()
- assert db.get_run(run_id) is None
- assert [path.read_bytes() for path in files] == contents
- assert not upload_dir.exists()
diff --git a/tests/test_scheduler.py b/tests/test_scheduler.py
deleted file mode 100644
index 0d50d26..0000000
--- a/tests/test_scheduler.py
+++ /dev/null
@@ -1,877 +0,0 @@
-"""调度器单元测试。
-
-覆盖拓扑排序、任务执行成功/失败分支、输入引用解析、MIME 推断以及
-后台轮询线程的启动与停止。节点调用改为进程内注册表直接调用。
-"""
-
-import time
-from pathlib import Path
-
-import pytest
-
-from wov_app import registry
-from wov_app.db import Database
-from wov_app.scheduler import WorkflowScheduler, topological_sort
-from wov_sdk.models import (
- InvokeResponse,
- NodeManifest,
- WorkflowDefinition,
- WorkflowEdge,
- WorkflowNode,
-)
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-
-
-def _register_echo() -> None:
- """把内置 echo 节点注册到进程内注册表。"""
- from nodes.echo import invoke
-
- registry.register(NodeManifest.load(str(WORKSPACE / "manifests" / "echo.json")), invoke)
-
-
-def _db(tmp_path) -> Database:
- """在临时目录创建独立数据库。"""
- return Database(tmp_path / "wov.db")
-
-
-def _echo_definition() -> WorkflowDefinition:
- """构造引用 Echo 节点的单步骤工作流定义。"""
- return WorkflowDefinition(
- name="echo-flow",
- version=1,
- nodes=[
- WorkflowNode(
- id="step",
- node_type="echo",
- inputs={"file_uri": "input.video_uri"},
- )
- ],
- edges=[],
- entry_inputs={"video_uri": "file"},
- final_outputs={"result": "step.file_uri"},
- )
-
-
-def test_topological_sort() -> None:
- """验证 DAG 排序保持依赖顺序，并拒绝环与未知边。"""
- definition = WorkflowDefinition(
- name="dag",
- version=1,
- nodes=[
- WorkflowNode(id="a", node_type="x"),
- WorkflowNode(id="b", node_type="x"),
- WorkflowNode(id="c", node_type="x"),
- ],
- edges=[
- WorkflowEdge(from_node="a", to_node="b"),
- WorkflowEdge(from_node="a", to_node="c"),
- ],
- )
- order = topological_sort(definition)
- assert order.index("a") < order.index("b")
- assert order.index("a") < order.index("c")
-
- cycle = WorkflowDefinition(
- name="cycle",
- version=1,
- nodes=[
- WorkflowNode(id="a", node_type="x"),
- WorkflowNode(id="b", node_type="x"),
- ],
- edges=[
- WorkflowEdge(from_node="a", to_node="b"),
- WorkflowEdge(from_node="b", to_node="a"),
- ],
- )
- with pytest.raises(ValueError, match="cycle"):
- topological_sort(cycle)
-
- with pytest.raises(ValueError, match="unknown edge"):
- topological_sort(
- WorkflowDefinition(
- name="bad",
- version=1,
- nodes=[WorkflowNode(id="a", node_type="x")],
- edges=[WorkflowEdge(from_node="a", to_node="missing")],
- )
- )
-
-
-def test_execute_echo_workflow(tmp_path) -> None:
- """验证排队任务可被完整执行并登记全部产物。"""
- db = _db(tmp_path)
- input_file = tmp_path / "input.txt"
- input_file.write_text("hello scheduler", encoding="utf-8")
- _register_echo()
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, _echo_definition().to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_1",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(input_file),
- "created_at": now,
- "updated_at": now,
- }
- )
-
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_1")
-
- run = db.get_run("run_1")
- assert run["status"] == "COMPLETED"
- artifacts = db.list_artifacts("run_1")
- assert {item["name"] for item in artifacts} == {"step.text", "step.file_uri", "result"}
-
-
-def test_execute_run_missing_workflow(tmp_path, monkeypatch) -> None:
- """验证工作流记录缺失时任务被标记为失败。"""
- db = _db(tmp_path)
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_missing",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "created_at": now,
- "updated_at": now,
- }
- )
- monkeypatch.setattr(db, "get_workflow", lambda workflow_id: None)
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_missing")
- assert db.get_run("run_missing")["status"] == "FAILED"
-
-
-def test_execute_run_missing_version(tmp_path) -> None:
- """验证版本记录缺失时任务被标记为失败。"""
- db = _db(tmp_path)
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_version",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_version")
- assert db.get_run("run_version")["status"] == "FAILED"
-
-
-def test_execute_run_invalid_dag_fails_and_does_not_block_queue(tmp_path) -> None:
- """环形 DAG 的历史任务必须立即 FAILED，且不阻塞队列后续任务（R04）。
-
- 复现场景：修复前保存校验放过环形定义，执行时拓扑排序抛错但异常发生在
- execute_run 的状态翻转之前 → 任务永远停在 QUEUED，next_queued_run 每轮
- 都拾起同一条队首记录，后面的任务全部被堵死。断言：无效 DAG 的任务被标记
- FAILED（带环错误信息），execute_run 不向调用方抛异常，队首随即前移。
- """
- db = _db(tmp_path)
- _register_echo()
- # 直接写库模拟修复前遗留的环形版本（保存接口现在会拒绝）。
- cycle_definition = {
- "name": "cycle",
- "version": 1,
- "nodes": [
- {"id": "a", "node_type": "echo", "inputs": {"file_uri": "b.file_uri"}},
- {"id": "b", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
- ],
- "edges": [{"from": "a", "to": "b"}, {"from": "b", "to": "a"}],
- "entry_inputs": {"video_uri": "file"},
- "final_outputs": {"result": "a.file_uri"},
- }
- db.upsert_workflow({"id": "bad-flow", "name": "Bad", "published": 1, "latest_version": 1})
- db.create_workflow_version("bad-flow", 1, cycle_definition)
- # 队列里同时放入合法任务，验证它不被无效任务堵住。
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, _echo_definition().to_dict())
- input_file = tmp_path / "input.txt"
- input_file.write_text("hello queue", encoding="utf-8")
- db.create_run(
- {
- "id": "run_bad",
- "workflow_id": "bad-flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(input_file),
- "created_at": "2026-01-01T00:00:00+00:00",
- "updated_at": "2026-01-01T00:00:00+00:00",
- }
- )
- db.create_run(
- {
- "id": "run_ok",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(input_file),
- "created_at": "2026-01-01T00:00:01+00:00",
- "updated_at": "2026-01-01T00:00:01+00:00",
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
-
- # 调度器每一轮的取任务 → 执行，不应把环形任务留在 QUEUED。
- first = db.next_queued_run()
- assert first["id"] == "run_bad"
- scheduler.execute_run(first["id"])
- bad = db.get_run("run_bad")
- assert bad["status"] == "FAILED"
- assert "cycle" in bad["error"]
-
- # 队首已前移，后续合法任务正常执行完成。
- assert db.next_queued_run()["id"] == "run_ok"
- scheduler.execute_run("run_ok")
- assert db.get_run("run_ok")["status"] == "COMPLETED"
- assert db.next_queued_run() is None
-
-
-def test_execute_run_unparsable_dag_fails_not_stuck(tmp_path) -> None:
- """缺 name 的非法定义同样标记 FAILED，而不是让队列卡死。"""
- db = _db(tmp_path)
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- # from_dict 解析缺 name 的定义会抛 KeyError。
- db.create_workflow_version("flow", 1, {"version": 1, "nodes": [], "edges": []})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_corrupt",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_corrupt")
- run = db.get_run("run_corrupt")
- assert run["status"] == "FAILED"
- assert run["error"]
- assert db.next_queued_run() is None
-
-
-def test_execute_run_missing_node(tmp_path) -> None:
- """验证未注册节点被调用时任务失败。"""
- db = _db(tmp_path)
- definition = WorkflowDefinition(
- name="bad",
- version=1,
- nodes=[
- WorkflowNode(
- id="step",
- node_type="missing-node",
- inputs={"text": "input.video_uri"},
- )
- ],
- entry_inputs={"video_uri": "file"},
- )
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, definition.to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_node",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(tmp_path / "in.txt"),
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_node")
- assert db.get_run("run_node")["status"] == "FAILED"
-
-
-def test_resolve_ref_and_mime(tmp_path) -> None:
- """验证输入引用解析、MIME 推断与文件大小读取。"""
- db = _db(tmp_path)
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- assert scheduler._resolve_ref("input.video", "in.mp4", {}) == "in.mp4"
- assert (
- scheduler._resolve_ref(
- "a.out", None, {"a": {"out": "result.txt"}}
- )
- == "result.txt"
- )
- assert scheduler._resolve_ref("a.out", None, {}) is None
- assert scheduler._resolve_ref("nodot", "in.mp4", {}) is None
- assert scheduler._mime_type("x.srt") == "application/x-subrip"
- assert scheduler._mime_type("x.ass") == "text/plain"
- assert scheduler._mime_type("x.wav") == "audio/wav"
- assert scheduler._mime_type("x.mp4") == "video/mp4"
- assert scheduler._mime_type("x.txt") == "text/plain"
- assert scheduler._mime_type("x.bin") == "application/octet-stream"
- existing = tmp_path / "existing.txt"
- existing.write_text("x", encoding="utf-8")
- assert scheduler._file_size(str(existing)) == 1
- missing = tmp_path / "missing.bin"
- assert scheduler._file_size(str(missing)) == 0
-
-
-def test_execute_unknown_or_non_queued_run(tmp_path) -> None:
- """验证未知任务或非排队任务会被忽略。"""
- db = _db(tmp_path)
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_done",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "COMPLETED",
- "progress": 1,
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("missing")
- scheduler.execute_run("run_done")
- assert db.get_run("run_done")["status"] == "COMPLETED"
-
-
-def test_execute_missing_input(tmp_path) -> None:
- """验证输入引用无法解析时任务失败。"""
- db = _db(tmp_path)
- definition = WorkflowDefinition(
- name="missing-input",
- version=1,
- nodes=[
- WorkflowNode(
- id="step",
- node_type="echo",
- inputs={"text": "missing.output"},
- )
- ],
- entry_inputs={"video_uri": "file"},
- )
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, definition.to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_input",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(tmp_path / "in.txt"),
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_input")
- assert db.get_run("run_input")["status"] == "FAILED"
-
-
-def test_execute_node_failed_response(tmp_path) -> None:
- """验证节点返回 failed 时任务被标记为失败。"""
- db = _db(tmp_path)
- registry.register(
- NodeManifest(
- id="fail-node",
- name="Fail",
- version="1",
- capability="echo",
- repo_dir="nodes",
- command=["python", "-m", "fail"],
- ),
- lambda request: InvokeResponse(status="failed", error="boom"),
- )
- definition = WorkflowDefinition(
- name="fail-flow",
- version=1,
- nodes=[
- WorkflowNode(
- id="step",
- node_type="fail-node",
- inputs={"text": "input.video_uri"},
- )
- ],
- entry_inputs={"video_uri": "file"},
- )
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, definition.to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_fail_node",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(tmp_path / "in.txt"),
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_fail_node")
- assert db.get_run("run_fail_node")["status"] == "FAILED"
-
-
-def test_scheduler_start_stop_loop(tmp_path) -> None:
- """验证调度线程可重复启动并正常停止。"""
- db = _db(tmp_path)
- scheduler = WorkflowScheduler(db, tmp_path / "storage", interval_seconds=0.05)
- scheduler.start()
- try:
- scheduler.start()
- time.sleep(0.15)
- finally:
- scheduler.stop()
- assert scheduler._thread is None
-
-
-def test_scheduler_background_executes_queued_run(tmp_path) -> None:
- """验证后台线程会自动执行排队中的任务。"""
- db = _db(tmp_path)
- input_file = tmp_path / "input.txt"
- input_file.write_text("background", encoding="utf-8")
- _register_echo()
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, _echo_definition().to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_bg",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(input_file),
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage", interval_seconds=0.05)
- scheduler.start()
- try:
- deadline = time.monotonic() + 10
- while time.monotonic() < deadline:
- if db.get_run("run_bg")["status"] in {"COMPLETED", "FAILED"}:
- break
- time.sleep(0.1)
- finally:
- scheduler.stop()
- assert db.get_run("run_bg")["status"] == "COMPLETED"
-
-
-def test_final_artifact_renamed_with_language_tag(tmp_path) -> None:
- """验证最终产物按 上传文件名.语言.时间戳 重命名并登记新 URI。"""
- db = _db(tmp_path)
- input_file = tmp_path / "movie01.mp4"
- input_file.write_text("video", encoding="utf-8")
- _register_echo()
- definition = WorkflowDefinition(
- name="lang-flow",
- version=1,
- nodes=[
- WorkflowNode(
- id="step",
- node_type="echo",
- params={"target_language": "zh-CN"},
- inputs={"file_uri": "input.video_uri"},
- )
- ],
- edges=[],
- entry_inputs={"video_uri": "file"},
- final_outputs={"cn_srt": "step.file_uri"},
- )
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, definition.to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_1",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(input_file),
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_1")
- artifacts = db.list_artifacts("run_1")
- final = next(item for item in artifacts if item["name"] == "cn_srt")
- filename = Path(final["uri"]).name
- # 命名规则：movie01.zh-CN.<14位时间戳>.txt
- assert filename.startswith("movie01.zh-CN.")
- assert filename.endswith(".txt")
- assert Path(final["uri"]).is_file()
- # 节点原始 URI 必须保持有效；成品副本与原始文本一致，保证断点可恢复。
- step_artifacts = [item for item in artifacts if item["name"] == "step.file_uri"]
- assert Path(step_artifacts[0]["uri"]).read_bytes() == Path(final["uri"]).read_bytes()
-
-
-def test_final_artifact_renamed_fallback_base_and_tag(tmp_path) -> None:
- """验证无上传文件时基础名回退 subtitle，无语言参数时标识回退别名。"""
- db = _db(tmp_path)
- _register_echo()
- definition = WorkflowDefinition(
- name="fallback-flow",
- version=1,
- nodes=[
- # 空输入让 echo 走默认文本路径，避免 input_uri 缺失导致解析失败。
- WorkflowNode(id="step", node_type="echo", inputs={})
- ],
- entry_inputs={"video_uri": "file"},
- final_outputs={"result": "step.file_uri"},
- )
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, definition.to_dict())
- now = "2026-01-01T00:00:00+00:00"
- # 故意不提供 input_uri，验证基础名回退。
- db.create_run(
- {
- "id": "run_1",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": None,
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_1")
- final = next(item for item in db.list_artifacts("run_1") if item["name"] == "result")
- filename = Path(final["uri"]).name
- # 基础名回退 subtitle、标识回退别名 result。
- assert filename.startswith("subtitle.result.")
- assert filename.endswith(".txt")
-
-
-def test_execute_run_merges_param_overrides(tmp_path) -> None:
- """验证调度执行时把 param_overrides 合并进节点参数。"""
- db = _db(tmp_path)
- input_file = tmp_path / "input.txt"
- input_file.write_text("x", encoding="utf-8")
- captured = {}
-
- def recording_handler(request):
- captured["params"] = dict(request.params)
- return InvokeResponse(status="completed", outputs={"text": "ok"})
-
- registry.register(
- NodeManifest(
- id="record-node",
- name="Record",
- version="1",
- capability="echo",
- repo_dir="nodes",
- command=["python", "-m", "record"],
- ),
- recording_handler,
- )
- definition = WorkflowDefinition(
- name="ov-flow",
- version=1,
- nodes=[WorkflowNode(id="step", node_type="record-node", params={"base": 1})],
- entry_inputs={"video_uri": "file"},
- )
- db.upsert_workflow({"id": "flow", "name": "F", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, definition.to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_ov",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "param_overrides": {"step": {"crop": [0, 0.5, 1, 0.5]}},
- "input_uri": str(input_file),
- "created_at": now,
- "updated_at": now,
- }
- )
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_ov")
- assert captured["params"] == {"base": 1, "crop": [0, 0.5, 1, 0.5]}
-
-
-def _two_node_definition() -> WorkflowDefinition:
- """构造 a→b 两节点工作流：b 引用 a 的输出。"""
- return WorkflowDefinition(
- name="two-flow",
- version=1,
- nodes=[
- WorkflowNode(id="a", node_type="x", inputs={"video_uri": "input.video_uri"}),
- WorkflowNode(id="b", node_type="x", inputs={"data_uri": "a.data_uri"}),
- ],
- edges=[WorkflowEdge(from_node="a", to_node="b")],
- entry_inputs={"video_uri": "file"},
- final_outputs={"result": "b.data_uri"},
- )
-
-
-def test_execute_pause_between_nodes_and_resume(tmp_path, monkeypatch) -> None:
- """验证运行中暂停：节点边界停下保持 PAUSED；续跑时跳过已完成节点。"""
- db = _db(tmp_path)
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, _two_node_definition().to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_pause",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(tmp_path / "in.txt"),
- "created_at": now,
- "updated_at": now,
- }
- )
- data_file = tmp_path / "data.bin"
- data_file.write_bytes(b"x")
-
- calls: list[str] = []
-
- def fake_invoke(node_type, request):
- # registry.invoke 首参是 node_type；用产物目录名（steps/）识别节点。
- node_id = Path(request.output_dir).name
- calls.append(node_id)
- # 第一个节点完成后立刻暂停任务，模拟用户在运行中点暂停。
- if node_id == "a":
- db.pause_run("run_pause", now)
- return InvokeResponse(status="completed", outputs={"data_uri": str(data_file)})
-
- monkeypatch.setattr(registry, "invoke", fake_invoke)
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_pause")
- assert db.get_run("run_pause")["status"] == "PAUSED"
- assert calls == ["a"] # 节点 b 未执行。
-
- # 继续：恢复排队并再次执行，节点 a 已产出结果应被跳过，只执行 b。
- db.resume_run("run_pause", now)
- scheduler.execute_run("run_pause")
- assert db.get_run("run_pause")["status"] == "COMPLETED"
- assert calls == ["a", "b"]
- artifacts = db.list_artifacts("run_pause")
- assert {item["name"] for item in artifacts} == {"a.data_uri", "b.data_uri", "result"}
-
-
-def test_execute_paused_run_not_run(tmp_path, monkeypatch) -> None:
- """验证非可执行状态（如 RUNNING 之外的值）的任务不会被执行。"""
- db = _db(tmp_path)
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, _two_node_definition().to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_done",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "COMPLETED",
- "progress": 1.0,
- "created_at": now,
- "updated_at": now,
- }
- )
- called = []
-
- def fake_invoke(node_id, request):
- called.append(node_id)
- return InvokeResponse(status="completed", outputs={})
-
- monkeypatch.setattr(registry, "invoke", fake_invoke)
- WorkflowScheduler(db, tmp_path / "storage").execute_run("run_done")
- assert called == []
-
-
-def test_execute_paused_run_stays_paused(tmp_path, monkeypatch) -> None:
- """PAUSED 任务不被 execute_run 复活：不置 RUNNING、不执行任何节点。
-
- 修复回归：PAUSED 任务被调度器拾起后曾先置 RUNNING 再检查，节点循环
- 读到的是刚改的 RUNNING 状态，"暂停检查"永远不成立 → 任务被复活继续跑
- （用户观察到的"点击暂停反而开始任务"）。修复后 PAUSED 直接返回保持暂停。
- """
- db = _db(tmp_path)
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, _two_node_definition().to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_paused",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "PAUSED",
- "progress": 0.5,
- "current_node_id": "a",
- "created_at": now,
- "updated_at": now,
- }
- )
- called = []
-
- def fake_invoke(node_type, request):
- called.append(node_type)
- return InvokeResponse(status="completed", outputs={})
-
- monkeypatch.setattr(registry, "invoke", fake_invoke)
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_paused")
- # 状态保持 PAUSED（未被置为 RUNNING），节点一个都不执行。
- assert db.get_run("run_paused")["status"] == "PAUSED"
- assert called == []
-
-def test_execute_paused_during_node_keeps_paused(tmp_path, monkeypatch) -> None:
- """节点内被暂停（节点检测到暂停信号后中止）：保持 PAUSED 不标 FAILED。
-
- 节点内暂停响应：subtitle-ocr 检查到 paused.flag 后中止并返回失败；
- 调度器捕获节点异常时应检查任务状态——若已被置为 PAUSED（用户点了暂停），
- 则保持 PAUSED 等待 resume 从断点续跑，而不是覆盖为 FAILED。
- """
- db = _db(tmp_path)
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, _two_node_definition().to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_paused",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(tmp_path / "in.txt"),
- "created_at": now,
- "updated_at": now,
- }
- )
-
- def fake_invoke(node_type, request):
- # 模拟节点内暂停：任务已被置 PAUSED，节点随后中止并抛异常。
- db.pause_run("run_paused", now)
- raise RuntimeError("OCR interrupted by pause")
-
- monkeypatch.setattr(registry, "invoke", fake_invoke)
- WorkflowScheduler(db, tmp_path / "storage").execute_run("run_paused")
- # 保持 PAUSED，不标 FAILED、不写 error（等待用户 resume 断点续跑）。
- run = db.get_run("run_paused")
- assert run["status"] == "PAUSED"
- assert run["error"] is None
-
-
-def test_scheduler_loop_survives_poll_exception(tmp_path, monkeypatch) -> None:
- """调度轮询遇异常不退出线程：下一轮继续执行排队任务。
-
- 修复回归：_loop 中 next_queued_run/execute_run 的未捕获异常曾杀死调度
- 线程（worker 进程只剩 uvicorn 主线程），任务永远停留在 QUEUED——
- run_011d01f19999 实际发生：回退 QUEUED 后调度器不再拾起，新配置
- （pool_max_workers=20）因此从未执行。
- """
- db = _db(tmp_path)
- input_file = tmp_path / "input.txt"
- input_file.write_text("resilient", encoding="utf-8")
- _register_echo()
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, _echo_definition().to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_resilient",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(input_file),
- "created_at": now,
- "updated_at": now,
- }
- )
-
- # 第一次轮询抛异常（模拟数据库抖动等），后续正常。
- calls = {"n": 0}
- real_next = db.next_queued_run
-
- def flaky_next():
- calls["n"] += 1
- if calls["n"] == 1:
- raise RuntimeError("transient db error")
- return real_next()
-
- monkeypatch.setattr(db, "next_queued_run", flaky_next)
- scheduler = WorkflowScheduler(db, tmp_path / "storage", interval_seconds=0.05)
- scheduler.start()
- try:
- deadline = time.monotonic() + 10
- while time.monotonic() < deadline:
- if db.get_run("run_resilient")["status"] in {"COMPLETED", "FAILED"}:
- break
- time.sleep(0.1)
- finally:
- scheduler.stop()
- # 第一次异常后调度线程仍存活，第二轮回合把任务执行完成。
- assert db.get_run("run_resilient")["status"] == "COMPLETED"
- assert calls["n"] >= 2
-
-def test_execute_pause_after_last_node_keeps_paused(tmp_path, monkeypatch) -> None:
- """验证全部节点完成但运行中被暂停时保持 PAUSED；续跑补做收尾后完成。"""
- db = _db(tmp_path)
- db.upsert_workflow({"id": "flow", "name": "Flow", "published": 1, "latest_version": 1})
- db.create_workflow_version("flow", 1, _two_node_definition().to_dict())
- now = "2026-01-01T00:00:00+00:00"
- db.create_run(
- {
- "id": "run_tail",
- "workflow_id": "flow",
- "workflow_version": 1,
- "status": "QUEUED",
- "progress": 0,
- "input_uri": str(tmp_path / "in.txt"),
- "created_at": now,
- "updated_at": now,
- }
- )
- data_file = tmp_path / "data.bin"
- data_file.write_bytes(b"x")
- calls: list[str] = []
-
- def fake_invoke(node_type, request):
- node_id = Path(request.output_dir).name
- calls.append(node_id)
- if node_id == "b": # 最后一个节点执行时暂停。
- db.pause_run("run_tail", now)
- return InvokeResponse(status="completed", outputs={"data_uri": str(data_file)})
-
- monkeypatch.setattr(registry, "invoke", fake_invoke)
- scheduler = WorkflowScheduler(db, tmp_path / "storage")
- scheduler.execute_run("run_tail")
- # 全部节点已执行，但收尾前被暂停 → 保持 PAUSED 而不是 COMPLETED。
- assert db.get_run("run_tail")["status"] == "PAUSED"
- assert calls == ["a", "b"]
-
- # 续跑：节点产物齐备全部跳过，补做收尾后完成。
- db.resume_run("run_tail", now)
- scheduler.execute_run("run_tail")
- assert db.get_run("run_tail")["status"] == "COMPLETED"
- assert calls == ["a", "b"]
diff --git a/tests/test_seed.py b/tests/test_seed.py
deleted file mode 100644
index 80ee122..0000000
--- a/tests/test_seed.py
+++ /dev/null
@@ -1,113 +0,0 @@
-"""种子数据测试。
-
-验证从 workflows/*.json 数据文件加载默认工作流、幂等性，以及
-开启种子与调度器后的应用生命周期。工作流定义来自数据文件而非代码。
-"""
-
-from pathlib import Path
-
-from fastapi.testclient import TestClient
-
-from wov_app.db import Database
-from wov_app.main import app
-from wov_app.seed import seed_default_workflows
-
-# 单体根目录：tests/ 的上一级。
-WORKSPACE = Path(__file__).resolve().parent.parent
-
-
-def test_seed_default_workflows_idempotent(tmp_path) -> None:
- """验证从数据文件加载 demo/zh-direct/ocr-subtitle/learn-translate 工作流且重复调用幂等。"""
- db = Database(tmp_path / "wov.db")
- created = seed_default_workflows(db)
- assert created == 4
- assert db.get_workflow("demo") is not None
- assert db.get_workflow("zh-direct") is not None
-
- # demo：asr 显式声明 model_path 与长音频参数，模型选择完全数据化。
- demo = db.get_latest_workflow_version("demo")["definition"]
- assert demo["name"] == "视频字幕生成"
- demo_asr = next(node for node in demo["nodes"] if node["id"] == "asr")
- assert demo_asr["params"]["model_path"] == "faster-whisper-large-v2"
- assert demo_asr["params"]["condition_on_previous_text"] is False
-
- # zh-direct：使用中文直出模型并开启翻译任务。
- zh = db.get_latest_workflow_version("zh-direct")["definition"]
- assert zh["name"] == "中文直出字幕"
- zh_asr = next(node for node in zh["nodes"] if node["id"] == "asr")
- assert zh_asr["params"]["model_path"] == "whisper-large-v2-translate-zh-v0.2-st-ct2"
- assert zh_asr["params"]["task"] == "translate"
-
- # learn-translate：应用本次 decode_full 修复的新工作流。
- learn = db.get_latest_workflow_version("learn-translate")["definition"]
- learn_asr = next(node for node in learn["nodes"] if node["id"] == "asr")
- assert learn_asr["params"]["decode_full"] is True
-
- # 再次调用不重复创建。
- assert seed_default_workflows(db) == 0
- assert len(db.list_workflow_versions("demo")) == 1
-
-
-def test_seed_custom_dir_and_empty(tmp_path) -> None:
- """验证自定义数据目录的加载与空目录返回 0。"""
- db = Database(tmp_path / "wov.db")
- custom = tmp_path / "workflows"
- custom.mkdir()
- (custom / "a.json").write_text(
- """
- {
- "id": "flow-a",
- "name": "Flow A",
- "description": "custom",
- "version": 1,
- "definition": {
- "name": "Flow A",
- "version": 1,
- "nodes": [{"id": "step", "node_type": "echo"}],
- "edges": [],
- "entry_inputs": {},
- "final_outputs": {}
- }
- }
- """,
- encoding="utf-8",
- )
- assert seed_default_workflows(db, custom) == 1
- assert db.get_workflow("flow-a") is not None
- # 空目录返回 0。
- empty = tmp_path / "empty"
- empty.mkdir()
- assert seed_default_workflows(db, empty) == 0
- # 已存在的工作流被跳过。
- assert seed_default_workflows(db, custom) == 0
-
-
-def test_lifespan_with_seed_and_scheduler(monkeypatch) -> None:
- """验证启用自动种子与调度器后应用正常启动，demo 与中文直出应用均可见。"""
- monkeypatch.setenv("WOV_AUTO_SEED", "1")
- monkeypatch.setenv("WOV_SCHEDULER_ENABLED", "1")
- with TestClient(app) as client:
- apps = client.get("/api/apps")
- assert apps.status_code == 200
- assert any(item["id"] == "demo" for item in apps.json())
- assert any(item["id"] == "zh-direct" for item in apps.json())
-
-
-def test_seed_workflows_have_chunk_seconds(tmp_path) -> None:
- """验证内置工作流的 asr 节点均显式声明分块参数。"""
- db = Database(tmp_path / "wov.db")
- seed_default_workflows(db)
- for workflow_id in ("demo", "zh-direct"):
- definition = db.get_latest_workflow_version(workflow_id)["definition"]
- asr = next(node for node in definition["nodes"] if node["id"] == "asr")
- assert asr["params"]["chunk_seconds"] == 60
-
-
-def test_seed_workflows_vad_filter_off(tmp_path) -> None:
- """验证内置工作流 asr 显式开启 VAD。"""
- db = Database(tmp_path / "wov.db")
- seed_default_workflows(db)
- for workflow_id in ("demo", "zh-direct"):
- definition = db.get_latest_workflow_version(workflow_id)["definition"]
- asr = next(node for node in definition["nodes"] if node["id"] == "asr")
- assert asr["params"]["vad_filter"] is True
diff --git a/tests/test_subtitle_correction.py b/tests/test_subtitle_correction.py
deleted file mode 100644
index 7c829ba..0000000
--- a/tests/test_subtitle_correction.py
+++ /dev/null
@@ -1,202 +0,0 @@
-"""字幕领域纠错节点测试（先红后绿）。
-
-验证：
-1. _is_fragment 正确过滤纯语气词/碎片（非过拟合）。
-2. _build_context 只保留有效上下文（±60s 内实义句），目标保留。
-3. _extract_target_line 从 LLM 输出解析目标行译文。
-4. 真实 LLM 集成：对"从未在提示词出现的 ASR 误听"（バナナ/マンゴー→性器官）
- 能按领域词表+上下文推断，证明不过拟合（V5 验证结果固化为回归）。
-提示词不含任何 ASR 误听具体例子，只有通用领域词表。
-"""
-
-from __future__ import annotations
-
-import os
-from pathlib import Path
-
-import pytest
-
-from nodes.subtitle_correction import (
- PROPER_SESSION_WORDS,
- _build_context,
- _extract_target_line,
- _is_fragment,
- _system_prompt,
-)
-from wov_sdk.models import InvokeRequest
-
-WORKSPACE = Path(__file__).resolve().parent.parent
-TRANSCRIPT = Path("/home/cat/Downloads/192.168.123.70/202609060835/run_af2987b161a3/steps/asr/transcript.srt")
-
-
-# ---------------------------------------------------------------------------
-# 单元测试：碎片判定 / 上下文构建 / 目标行解析
-# ---------------------------------------------------------------------------
-
-
-def test_is_fragment_pure_words() -> None:
- """纯语气词/单音节应判为碎片。"""
- for t in ["あ", "ん", "うん", "はい", "あっ", "あー", "あ〜", "ああ", ""]:
- assert _is_fragment(t), f"'{t}' 应为碎片"
-
-
-def test_is_fragment_meaningful() -> None:
- """有实义的句子不应判为碎片（即使含假名）。"""
- for t in ["気持ちいい", "難しい", "ごめんなさい", "手先が違う所に当たり合い"]:
- assert not _is_fragment(t), f"'{t}' 不应为碎片"
-
-
-def test_build_context_filters_fragments() -> None:
- """上下文过滤语气词，但目标条目始终保留。"""
- entries = [
- {"start": 0.0, "end": 1.0, "text": "あ"},
- {"start": 2.0, "end": 3.0, "text": "気持ちいい"},
- {"start": 4.0, "end": 5.0, "text": "手先が当たる"},
- {"start": 6.0, "end": 7.0, "text": "うん"},
- ]
- ctx = _build_context(entries, target_index=2)
- assert "気持ちいい" in ctx
- assert "手先が当たる" in ctx
- assert "あ\n" not in ctx # 语气词被过滤
- assert "うん" not in ctx
-
-
-def test_build_context_keeps_target() -> None:
- """目标条目即使本身是语气词也保留并标记。"""
- entries = [
- {"start": 0.0, "end": 1.0, "text": "あ"},
- {"start": 2.0, "end": 3.0, "text": "うん"},
- ]
- ctx = _build_context(entries, target_index=1)
- assert "<-- 目标" in ctx
- assert "うん" in ctx
-
-
-def test_extract_target_line() -> None:
- """从 LLM 输出解析与目标时间最接近的译文行。"""
- content = "6656.60 好舒服\n6704.10 啊，肉棒撞到了别的地方\n6708.10 啊，肉棒顶到舒服的地方"
- assert "好舒服" in _extract_target_line(content, 6656.60)
- # 目标 6704 附近
- assert "肉棒撞到了别的地方" in _extract_target_line(content, 6704.10)
-
-
-def test_system_prompt_has_generic_domain_terms_no_noise_examples() -> None:
- """系统提示词含通用领域词表，但不含任何 ASR 误听噪声词（不过拟合）。"""
- prompt = _system_prompt("zh-CN")
- assert "チンポ" in prompt
- assert "マンコ" in prompt
- assert "バナナ" in prompt or "マンゴー" in prompt
- # 关键：绝不含具体 ASR 误听形式（本次视频的 チェーンバー/手先）。
- assert "チェーンバー" not in prompt
- assert "手先" not in prompt
-
-
-def test_proper_session_words_are_generic() -> None:
- """领域词表只含通用日文性器官词，不含误听噪声词。"""
- assert "チンポ" in PROPER_SESSION_WORDS
- assert "マンコ" in PROPER_SESSION_WORDS
- assert "チェーンバー" not in PROPER_SESSION_WORDS # 非通用词
- assert "手先" not in PROPER_SESSION_WORDS # 非通用词
-
-
-# ---------------------------------------------------------------------------
-# 真实 LLM 集成：泛化验证（B 组场景）
-# ---------------------------------------------------------------------------
-
-
-def _llm_ok() -> bool:
- try:
- from dotenv import load_dotenv
-
- load_dotenv(WORKSPACE / ".env")
- except Exception:
- pass
- return bool(os.getenv("LLM_API_KEY"))
-
-
-@pytest.mark.integration
-def test_generic_correction_generalizes_to_unseen_mishearing() -> None:
- """泛化回归：对'未在提示词出现'的误听（バナナ/マンゴー→性器官）能正确推断。
-
- 提示词只有通用领域词表（含バナナ/マンゴー），没有具体误听例子。
- 若 LLM 能按上下文把バナナ理解为肉棒、マンゴー理解为小穴，证明不过拟合。
- """
- if not _llm_ok():
- pytest.skip("未配置 LLM_API_KEY，跳过真实 LLM 集成测试")
-
- from nodes.subtitle_correction import correct_entry
-
- # 模拟新视频：ASR 把 チンポ/マンコ 听成 バナナ/マンゴー（提示词中仅有通用词表）。
- entries = [
- {"start": 1200.0, "end": 1203.0, "text": "相手がバナナをしゃぶってくれて"},
- {"start": 1203.0, "end": 1206.0, "text": "そろそろマンゴーが濡れてきました"},
- {"start": 1206.0, "end": 1209.0, "text": "気持ちいいところに当たってるね"},
- {"start": 1220.0, "end": 1224.0, "text": "もっとマンゴーを舐めてください"},
- {"start": 1224.0, "end": 1226.0, "text": "いっぱい出してね"},
- ]
- # 目标改为含误听词'マンゴー'的条目（索引 3）：验证 LLM 结合上下文和
- # 领域词表把'マンゴー'推断为小穴，而非字面译'芒果'。
- target = correct_entry(entries[3], entries, 3, {"target_language": "zh-CN"})
- # 泛化判定：输出应含性器官语义（肉棒/阴部/敏感处等），而非字面"香蕉/芒果"。
- flagged = [k for k in ("肉棒", "鸡巴", "阴部", "小穴", "敏感") if k in target]
- assert flagged, (
- f"泛化失败：模型仍字面直译，输出'{target}'（应结合领域表推断性器官）"
- )
-
-@pytest.mark.integration
-def test_invoke_end_to_end_real_transcript(tmp_path) -> None:
- """真实 invoke 端到端：读真实 transcript，逐条纠错，产出 corrected.srt。
-
- 覆盖 invoke 全流程（文件校验、逐条纠错、SRT 序列化、写文件）。
- """
- if not _llm_ok():
- pytest.skip("未配置 LLM_API_KEY，跳过真实 LLM 集成测试")
- if not TRANSCRIPT.is_file():
- pytest.skip("缺少真实 transcript.srt，跳过")
-
- from nodes.subtitle_correction import invoke
-
- out = tmp_path / "out"
- resp = invoke(InvokeRequest(
- run_id="corr_e2e",
- node_instance_id="",
- inputs={"srt_uri": str(TRANSCRIPT)},
- params={"target_language": "zh-CN"},
- output_dir=str(out),
- ))
- assert resp.status == "completed", resp.error
- assert Path(resp.outputs["srt_uri"]).is_file()
- content = Path(resp.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert "--> " in content # 合法 SRT
-
-
-@pytest.mark.integration
-def test_invoke_missing_srt_uri(tmp_path) -> None:
- """缺少 srt_uri -> failed。"""
- from nodes.subtitle_correction import invoke
-
- resp = invoke(InvokeRequest(
- run_id="x", node_instance_id="", inputs={}, output_dir=str(tmp_path)
- ))
- assert resp.status == "failed"
-
-
-def test_extract_target_line_no_match_returns_empty() -> None:
- """LLM 输出无法匹配目标时间时返回空串。"""
- from nodes.subtitle_correction import _extract_target_line
-
- assert _extract_target_line("随便一段话没有数字", 1234.5) == ""
-
-
-def test_serialize_srt_roundtrip() -> None:
- """SRT 序列化往返：条目 -> 文本 -> 再解析条数一致。"""
- from nodes.subtitle_correction import _serialize_srt
- from tests.realdata_contract import parse_srt_entries
-
- entries = [
- {"start": 0.0, "end": 2.0, "text": "你好"},
- {"start": 2.0, "end": 4.0, "text": "世界"},
- ]
- srt = _serialize_srt(entries)
- assert "00:00:00,000 --> 00:00:02,000" in srt
- assert len(parse_srt_entries(srt)) == 2
diff --git a/tests/test_subtitle_ocr_order_threading.py b/tests/test_subtitle_ocr_order_threading.py
deleted file mode 100644
index a30e922..0000000
--- a/tests/test_subtitle_ocr_order_threading.py
+++ /dev/null
@@ -1,314 +0,0 @@
-"""多线程下字幕顺序正确性测试（模拟真实 API 返回，全量真实数据）。
-
-目标：验证 subtitle-ocr 在**多线程**执行时能否正确处理字幕顺序。
-
-R06 更新：下述 1666 条文件保留作历史记录，含跨空白帧合并缺陷，已不作为
-逐字节正确性标准。基线由真实单线程/完整成功存档组装产生（1942 条），
-同时逐采样点检查正文和空白，要求多线程及断点结果与新基线一致。
-
-- 不走真实 vlm-ocr（Ollama）网络调用：registry.invoke 被替换为
- FakeVlmOcrApi，按 image_uri 文件名中的帧号，直接从测试数据（真实任务
- run_ac7f480a3ccb 的**全量**逐帧 OCR 结果）取该帧文本返回，模拟真实
- API 返回结构；输入可以是文件名（frames_manifest / image_uri）；
-- **真实 OCR 延迟模拟**：真实 vlm-ocr 每次调用延迟不可预判——大部分帧快、
- 少量帧明显慢（复杂画面/模型排队，真实约 0.1s~5s，测试按比例缩放）。
- 假 API 用种子化随机生成同样的快/慢分布（约 8% 慢帧），制造真实波动下
- 的乱序完成，对线程池的保序能力施加最贴近真实情况的压力；
-- 核心断言：多线程（4/16 线程）产出的 SRT 与**用户确认过的精确结果**逐字节
- 一致——该结果正是真实任务 run_ac7f480a3ccb 以**单线程**（workflow v4
- pool 1/1）运行产出并经用户确认的，因此逐字节一致即证明"多线程 == 单线程"；
- 同时断言并发真实发生、完成顺序确实乱序、全量时间轴严格递增、每条字幕
- 与其起始时刻帧的文本对齐。
-
-全量真实数据（testdata/，常驻夹具，真实任务 run_ac7f480a3ccb 全部 14236 帧）：
-- frames_manifest_full.json：完整帧清单（14236 条，image_uri 改为文件名）；
-- ocr_frames_full.json：{帧号: 该帧 OCR 文本}（位置 p ↔ 帧 p+1）；
-- ocr_srt_run_ac7f480a3ccb.srt：该任务单线程运行产出、用户确认过的精确结果（1666 条）。
-"""
-
-import json
-import random
-import re
-import threading
-import time
-from pathlib import Path
-
-from wov_sdk.models import InvokeRequest, InvokeResponse
-
-WORKSPACE = Path(__file__).resolve().parent.parent
-TESTDATA = WORKSPACE / "testdata"
-FULL_MANIFEST = TESTDATA / "frames_manifest_full.json"
-FULL_OCR_TEXTS = TESTDATA / "ocr_frames_full.json"
-CONFIRMED_SRT = TESTDATA / "ocr_srt_run_ac7f480a3ccb.srt"
-TOTAL_FRAMES = 14236
-
-# 帧号解析：image_uri 文件名形如 frame_0411.png。
-_FRAME_RE = re.compile(r".*frame_(\d+)\.png")
-
-
-def _frame_no(uri: str) -> int:
- """从 image_uri 文件名解析帧号。"""
- return int(_FRAME_RE.match(Path(uri).name).group(1))
-
-
-def _ts_to_seconds(ts: str) -> float:
- """SRT 时间戳（HH:MM:SS,mmm）转秒。"""
- h, m, s = ts.replace(",", ".").split(":")
- return int(h) * 3600 + int(m) * 60 + float(s)
-
-
-class FakeVlmOcrApi:
- """模拟真实 vlm-ocr API：不发起真实网络调用，从测试数据返回该帧 OCR 文本。
-
- - 输入是 image_uri 文件名，解析帧号后从全量真实 OCR 结果（{帧号: 文本}）
- 取该帧文本返回，模拟真实 API 返回结构（status=completed / outputs.text）；
- - **可变延迟模拟真实 OCR**：每次调用独立随机，大部分帧快
- （0.2~2ms，对应真实约 0.1~1s），约 slow_ratio 比例的帧明显慢
- （6~18ms，对应真实约 3~9s，如复杂画面/模型排队）。延迟不可预判，
- 对线程池的乱序恢复能力施加与真实情况一致的随机压力；
- - 线程安全地记录并发峰值、完成顺序与每次延迟，供断言"多线程确实发生、
- 乱序完成、且存在明显慢帧"。
- """
-
- def __init__(self, texts_by_frame: dict[int, str], seed: int = 20260817,
- fast_ms: float = 1.0, slow_ms: float = 12.0,
- slow_ratio: float = 0.08) -> None:
- self._texts_by_frame = texts_by_frame
- self._fast_ms = fast_ms
- self._slow_ms = slow_ms
- self._slow_ratio = slow_ratio
- # 种子化随机源：延迟波动可复现（固定种子 → 测试确定性，不 flaky）。
- self._rng = random.Random(seed)
- self._lock = threading.Lock()
- self.active = 0
- self.max_active = 0
- # 完成顺序（帧号）：用于断言乱序完成确实发生。
- self.completed_frames: list[int] = []
- # 每次调用的实际延迟（毫秒）：用于断言快/慢分布确实发生。
- self.delays_ms: list[float] = []
-
- def __call__(self, node_id: str, request: InvokeRequest) -> InvokeResponse:
- frame_no = _frame_no(request.inputs["image_uri"])
- with self._lock:
- self.active += 1
- self.max_active = max(self.max_active, self.active)
- try:
- # 真实 OCR 延迟：慢帧比例固定，具体哪帧慢由随机决定（不可预判）。
- if self._rng.random() < self._slow_ratio:
- delay = self._slow_ms * (0.5 + self._rng.random())
- else:
- delay = self._fast_ms * (0.2 + self._rng.random() * 1.8)
- self.delays_ms.append(delay)
- time.sleep(delay / 1000.0)
- text = self._texts_by_frame[frame_no]
- finally:
- with self._lock:
- self.active -= 1
- self.completed_frames.append(frame_no)
- # 与真实 vlm-ocr 节点一致的返回结构。
- return InvokeResponse(status="completed", outputs={"text": text})
-
-
-def _run_ocr(monkeypatch, manifest_path: Path, texts_by_frame: dict[int, str],
- pool_min: int, pool_max: int, output_dir: Path, seed: int,
- ) -> tuple[Path, FakeVlmOcrApi]:
- """用给定线程配置运行 subtitle-ocr，返回 (产物路径, 假 API 实例)。"""
- from nodes.subtitle_ocr import invoke as ocr_invoke
-
- # 单线程基线无需模拟网络等待，多线程仍保留真实延迟分布验证乱序完成。
- fake = (FakeVlmOcrApi(texts_by_frame, seed=seed, fast_ms=0, slow_ms=0)
- if pool_max == 1 else FakeVlmOcrApi(texts_by_frame, seed=seed))
- monkeypatch.setattr("wov_app.registry.invoke", fake)
- response = ocr_invoke(
- InvokeRequest(
- run_id="order_test",
- node_instance_id="",
- inputs={"frames_manifest": str(manifest_path)},
- params={"pool_min_workers": pool_min, "pool_max_workers": pool_max},
- output_dir=str(output_dir),
- )
- )
- assert response.status == "completed", response.error
- return Path(response.outputs["srt_uri"]), fake
-
-
-def _load_full_data() -> tuple[list[dict], dict[int, str]]:
- """加载全量夹具：manifest 与 {帧号: 文本}。"""
- manifest = json.loads(FULL_MANIFEST.read_text(encoding="utf-8"))
- texts_by_frame = {
- int(key): value for key, value in json.loads(FULL_OCR_TEXTS.read_text(encoding="utf-8")).items()
- }
- return manifest, texts_by_frame
-
-
-def _assert_alignment(srt_text: str, manifest: list[dict], texts_by_frame: dict[int, str]) -> None:
- """核心对齐断言：每条字幕的起始时刻对应的帧，其 OCR 文本必须就是本条字幕文本。
-
- 这正是"多线程下顺序正确"的最终验证：无论线程如何并发/乱序完成，
- 每条字幕贴的时刻必须是它真实来源帧的时刻。
- """
- time_text = {
- round(float(entry["time"]), 3): texts_by_frame[_frame_no(entry["image_uri"])]
- for entry in manifest
- }
- blocks = re.findall(
- r"(\d{2}:\d{2}:\d{2},\d{3})\s*-->\s*(\d{2}:\d{2}:\d{2},\d{3})\s*\n(.*?)(?=\n\s*\d+\s*\n|\Z)",
- srt_text, re.DOTALL,
- )
- times = []
- for start, _end, text in blocks:
- start_s = _ts_to_seconds(start)
- # 帧时间与 SRT 时间戳间允许 ±2ms 容差：format_timestamp 用 int 截断，
- # 浮点 256.258 会以 256.25799.. 截断为 256,257（真实运行同样行为）。
- best = min(time_text, key=lambda t: abs(t - start_s))
- assert abs(best - start_s) <= 0.002, f"字幕起始时刻 {start_s}s 无对应帧"
- assert time_text[best] == text.strip(), f"时刻 {start_s}s 的文本与帧不一致"
- # 每个采样点都须匹配正文，不能让同一句字幕跨过无文字帧。
- end_s = _ts_to_seconds(_end)
- covered = [value for timestamp, value in time_text.items()
- if best <= timestamp < end_s - 0.002]
- assert covered and all(value == text.strip() for value in covered)
- times.append(start_s)
- assert all(a < b for a, b in zip(times, times[1:])), "时间轴必须严格递增"
-
-
-class TestSubtitleOcrOrderUnderThreading:
- """多线程下字幕顺序正确性测试类（全量 14236 帧真实数据 + 真实可变延迟）。
-
- 确认结果（testdata/ocr_srt_run_ac7f480a3ccb.srt）是真实任务 run_ac7f480a3ccb
- 以**单线程**（workflow v4 pool 1/1）运行产出、经用户确认的精确结果：
- - 多线程（4/16 线程）+ 真实可变延迟下重放全量数据，产物必须与它逐字节一致；
- - 同时必须真实发生"多线程 + 乱序完成 + 明显慢帧"，而顺序仍正确。
- 数据全部为常驻夹具，测试始终执行（不依赖 gitignored 数据）。
- """
-
- def test_full_real_data_variable_latency_keeps_order(self, monkeypatch, tmp_path) -> None:
- """全量真实数据 + 真实可变延迟：多线程产物与单线程确认结果逐字节一致。"""
- manifest, texts_by_frame = _load_full_data()
- # R06：旧 1666 条结果跨空白合并，改用当前真实单线程路径构建基线。
- confirmed_path, _ = _run_ocr(monkeypatch, FULL_MANIFEST, texts_by_frame,
- 1, 1, tmp_path / "single", 20260817)
- confirmed = confirmed_path.read_text(encoding="utf-8")
- assert confirmed.count("-->") == 1942
-
- outputs: dict[tuple, str] = {}
- fakes: dict[tuple, FakeVlmOcrApi] = {}
- for pool_min, pool_max in ((4, 4), (16, 16)):
- out_dir = tmp_path / f"p{pool_min}-{pool_max}"
- srt_path, fake = _run_ocr(
- monkeypatch, FULL_MANIFEST, texts_by_frame,
- pool_min=pool_min, pool_max=pool_max,
- output_dir=out_dir, seed=20260817,
- )
- outputs[(pool_min, pool_max)] = srt_path.read_text(encoding="utf-8")
- fakes[(pool_min, pool_max)] = fake
-
- # ① 多线程产物与本次真实单线程运行基线逐字节一致（R06 修正跨空白）。
- assert outputs[(4, 4)] == confirmed, "4 线程产物与确认结果不一致"
- assert outputs[(16, 16)] == confirmed, "16 线程产物与确认结果不一致"
- assert outputs[(4, 4)] == outputs[(16, 16)]
-
- # ② 多线程确实发生（并发峰值>1），且可变延迟下完成顺序乱序（靠后帧
- # 先完成/慢帧滞后），但输出仍与确认结果一致——线程池正确恢复了顺序。
- for (pool_min, pool_max), fake in fakes.items():
- assert fake.max_active > 1, f"{pool_max} 线程配置下应真实并发"
- assert fake.completed_frames != sorted(fake.completed_frames), \
- f"{pool_max} 线程下可变延迟应产生乱序完成"
-
- # ③ 延迟模拟符合真实 OCR：存在明显慢帧（>3 倍快帧均值），也含极快帧。
- for (_, pool_max), fake in fakes.items():
- delays = fake.delays_ms
- assert len(delays) == TOTAL_FRAMES, "每帧都应产生一次调用延迟"
- assert max(delays) > 3.0, f"{pool_max} 线程下应存在明显慢帧（真实 OCR 延迟波动）"
- assert min(delays) < 1.0, "应存在快帧（大部分帧响应快）"
-
- # ④ 全量时间轴严格递增 + 每条字幕与其起始时刻帧的文本对齐。
- _assert_alignment(confirmed, manifest, texts_by_frame)
-
- # ⑤ 已知真实内容存在于结果中（确认结果的代表性条目）。
- for line in ("北冈小姐", "这是特别病房患者的病历表", "应该已经察觉到 至今为止的一切了吧"):
- assert line in confirmed, line
-
-
-def test_ocr_resumes_from_partial_checkpoint(monkeypatch, tmp_path) -> None:
- """节点级断点：预写部分帧存档后运行，只处理未处理帧，产物与全量一致。
-
- 模拟中断时已落盘的 ocr_partial.jsonl（前 100 帧已处理）：invoke 应只对
- 未处理帧调用 vlm-ocr，并把存档文本与新增文本合并，最终 SRT 与全量一次
- 跑完逐字节一致——重启不浪费已处理的帧。
- """
- manifest, texts_by_frame = _load_full_data()
- # 基线走完整 OCR 路径，包含超长输出跳过规则，不手写业务处理后的存档。
- baseline_path, _ = _run_ocr(monkeypatch, FULL_MANIFEST, texts_by_frame,
- 1, 1, tmp_path / "baseline", 99)
- confirmed = baseline_path.read_text(encoding="utf-8")
- assert confirmed.count("-->") == 1942
- out_dir = tmp_path / "resume"
- partial_path = out_dir / "ocr_partial.jsonl"
- partial_path.parent.mkdir(parents=True)
- lines = []
- for i in range(100):
- # 存档按 0-based 帧序号记录；manifest[i] 的帧号 = i+1。
- lines.append(
- json.dumps({"frame": i, "text": texts_by_frame[i + 1], "status": "completed"}, ensure_ascii=False)
- )
- if i == 50:
- lines.append("") # 空行：_load_partial 必须跳过，不视为一条记录。
- if i == 51:
- lines.append("broken-json-line") # 损坏行（进程被杀残留）：跳过。
- partial_path.write_text("\n".join(lines) + "\n", encoding="utf-8")
-
- from nodes.subtitle_ocr import invoke as ocr_invoke
-
- fake = FakeVlmOcrApi(texts_by_frame, seed=99)
- monkeypatch.setattr("wov_app.registry.invoke", fake)
- response = ocr_invoke(
- InvokeRequest(
- run_id="resume_test",
- node_instance_id="",
- inputs={"frames_manifest": str(FULL_MANIFEST)},
- params={"pool_min_workers": 4, "pool_max_workers": 4},
- output_dir=str(out_dir),
- )
- )
- assert response.status == "completed", response.error
- srt = Path(response.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert srt == confirmed # 存档 + 新增合并结果与全量一致。
- # 只处理未处理帧：前 100 帧不再调用 vlm-ocr。
-
- # 场景 2：先用真实逻辑完整跑一遍（生成存档），再以同一目录续跑——
- # 第二次 pending 为空，完全不调用 vlm-ocr，产物与第一次逐字节一致
- # （覆盖 _load_partial 全恢复路径，存档文本与处理逻辑天然一致）。
- out_dir_all = tmp_path / "resume_all"
- fake_first = FakeVlmOcrApi(texts_by_frame, seed=7)
- monkeypatch.setattr("wov_app.registry.invoke", fake_first)
- resp_first = ocr_invoke(
- InvokeRequest(
- run_id="resume_all_test",
- node_instance_id="",
- inputs={"frames_manifest": str(FULL_MANIFEST)},
- params={"pool_min_workers": 4, "pool_max_workers": 4},
- output_dir=str(out_dir_all),
- )
- )
- assert resp_first.status == "completed", resp_first.error
- srt_first = Path(resp_first.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert srt_first == confirmed
- assert len(fake_first.completed_frames) == TOTAL_FRAMES
-
- fake_second = FakeVlmOcrApi(texts_by_frame, seed=8)
- monkeypatch.setattr("wov_app.registry.invoke", fake_second)
- resp_second = ocr_invoke(
- InvokeRequest(
- run_id="resume_all_test",
- node_instance_id="",
- inputs={"frames_manifest": str(FULL_MANIFEST)},
- params={"pool_min_workers": 4, "pool_max_workers": 4},
- output_dir=str(out_dir_all),
- )
- )
- assert resp_second.status == "completed", resp_second.error
- srt_second = Path(resp_second.outputs["srt_uri"]).read_text(encoding="utf-8")
- assert srt_second == srt_first # 存档恢复与一次跑完逐字节一致。
- assert len(fake_second.completed_frames) == 0 # 一帧都不重新调用。
- assert len(fake.completed_frames) == TOTAL_FRAMES - 100
diff --git a/tests/test_translate_model_bench.py b/tests/test_translate_model_bench.py
deleted file mode 100644
index 2c6eddf..0000000
--- a/tests/test_translate_model_bench.py
+++ /dev/null
@@ -1,131 +0,0 @@
-"""翻译模型横向评测的数据契约与对照逻辑测试（真实数据，不 mock 模型）。
-
-背景
-----
-为评估"更便宜的 LLM 能否替代当前 Qwen/Qwen3.6-35B-A3B 做 llm-translate"，
-新增了三件评测工具（scripts/ 下，都是真实数据驱动）：
-
-- `scripts/build_translate_eval.py`：把 run_479b411f299d（ocr-subtitle）的
- 烧录字幕中文产物与 run_d386ccf124f7（learn-translate）的日语 whisper ASR
- 按时间配对，产出候选池；
-- `scripts/build_segment_eval.py`：把配对改成**窗口级**（一条中文基准字幕 +
- 其时间窗内覆盖的 1-3 条日语 cue），产出可用窗口；
-- `scripts/bench_translate_models.py`：调用**生产翻译实现**（nodes/llm.py）
- 对每个模型跑完整片，并在窗口级打印各模型译文对照供人工 review。
-
-本测试验证上述工具的**数据契约与对照逻辑**：评测集必须真实可用（时间轴自洽、
-基准非空、可定位到真实 ASR 条目），对照输出必须包含全部模型各自的行。真实
-产物缺失时整组跳过（与 tests/realdata_contract.py 同一约定）。
-"""
-
-from __future__ import annotations
-
-import importlib.util
-import json
-import subprocess
-import sys
-from pathlib import Path
-
-import pytest
-
-# 仓库根（tests/ 的上一级）。
-WORKSPACE = Path(__file__).resolve().parent.parent
-EVAL_SET = WORKSPACE / "testdata/translate_eval/eval_set.jsonl"
-WINDOWS = WORKSPACE / "testdata/translate_eval/windows.jsonl"
-JA_SRT = WORKSPACE / "data/storage/runs/run_d386ccf124f7/steps/asr/transcript.srt"
-BENCH = WORKSPACE / "scripts/bench_translate_models.py"
-# 评测中间产物目录（gitignored），各模型跑完后才存在。
-EXPERIMENT_ROOT = WORKSPACE / "data/experiments/translate_models"
-
-
-def _load(name: str, path: Path):
- """按文件路径加载 scripts 下的模块（scripts 不是包，无法 import）。"""
- spec = importlib.util.spec_from_file_location(name, path)
- module = importlib.util.module_from_spec(spec)
- assert spec is not None and spec.loader is not None
- spec.loader.exec_module(module)
- return module
-
-
-def _seconds(ts: str) -> float:
- """SRT 时间戳 -> 秒。"""
- hours, minutes, rest = ts.split(":")
- secs, millis = rest.split(",")
- return int(hours) * 3600 + int(minutes) * 60 + int(secs) + int(millis) / 1000
-
-
-def test_eval_set_is_real_and_self_consistent() -> None:
- """评测集必须来自真实产物：条数充足、基准非空、时间轴可定位真实日语 cue。
-
- 这是"人工 review 的样本必须真实可核对"的硬约束——如果窗口的时间区间里
- 找不到对应日语 cue，说明窗口是用假数据拼的，或时间轴与 ASR 不同源。
- """
- if not EVAL_SET.is_file() or not JA_SRT.is_file():
- pytest.skip("评测集或日语 ASR 产物缺失（先跑 build_segment_eval.py）")
-
- from nodes.srt import parse_srt
-
- windows = [json.loads(line) for line in EVAL_SET.read_text(encoding="utf-8").splitlines()]
- assert len(windows) >= 100, "评测集窗口过少，不足以支撑人工质量结论"
-
- ja_cues = parse_srt(JA_SRT.read_text(encoding="utf-8"))
- for window in windows:
- assert window["ja_lines"], f"窗口 {window.get('id')} 没有日语原文"
- assert window["zh_ref"].strip(), f"窗口 {window.get('id')} 基准中文为空"
- # 基准中文必须位于窗口时间区间内（真实配对），且窗口跨度合理。
- assert _seconds(window["zh_start"]) < _seconds(window["zh_end"])
- assert _seconds(window["zh_end"]) - _seconds(window["zh_start"]) <= 15.0
- # 每条日语 cue 都能在真实 ASR 里按时间戳找到（同源校验）。
- for line in window["ja_lines"]:
- assert any(cue.text == line for cue in ja_cues), f"日语行不在真实 ASR 中: {line!r}"
-
-
-def test_window_builder_matches_production_parser() -> None:
- """窗口构建器与生产 SRT 解析器结果一致（不另写一套 SRT 规则）。
-
- 用 window.jsonl 的候选池与当场重算的窗口对比：同一输入必须得到同一数量与
- 同一序列，避免"导出一次、之后代码改动悄悄漂移"。
- """
- if not WINDOWS.is_file() or not JA_SRT.is_file():
- pytest.skip("候选池缺失（先跑 build_segment_eval.py --export）")
-
- module = _load("build_segment_eval", WORKSPACE / "scripts/build_segment_eval.py")
- zh_srt = WORKSPACE / "data/storage/runs/run_479b411f299d/steps/filter/filtered.srt"
- if not zh_srt.is_file():
- pytest.skip("中文基准产物缺失（ocr-subtitle 任务未产出 filtered.srt）")
-
- rebuilt = module.build_windows(JA_SRT, zh_srt)
- exported = [json.loads(line) for line in WINDOWS.read_text(encoding="utf-8").splitlines()]
- assert len(rebuilt) == len(exported)
- assert [(w["zh_start"], tuple(w["ja_lines"])) for w in rebuilt] == [
- (w["zh_start"], tuple(w["ja_lines"])) for w in exported
- ]
-
-
-def test_bench_compare_prints_every_model_for_shared_window() -> None:
- """对照表必须为每个模型打印同一窗口的译文（人工 review 的数据来源）。
-
- 用两个真实已跑完的模型产物（基线 + 本地 30B）生成对照表，断言：任意窗口
- 区块里两个模型都出现且行数一致——否则 review 会因缺行而漏判。
- """
- baseline = EXPERIMENT_ROOT / "_baseline/steps/cn.srt"
- other = EXPERIMENT_ROOT / "local-qwen3-30b-a3b/steps/cn.srt"
- if not EVAL_SET.is_file() or not baseline.is_file() or not other.is_file():
- pytest.skip("评测集或某个模型产物缺失（先跑 bench_translate_models.py run）")
-
- result = subprocess.run(
- [sys.executable, str(BENCH), "compare", "--tags", "_baseline", "local-qwen3-30b-a3b",
- "--limit", "5"],
- cwd=WORKSPACE, capture_output=True, text=True, check=True,
- )
- output = result.stdout
- assert "基准中文(OCR)" in output
- blocks = [b for b in output.split("\n### ") if b.strip()]
- assert blocks, "对照表没有任何窗口区块"
- for block in blocks:
- assert "- _baseline:" in block
- assert "- local-qwen3-30b-a3b:" in block
- # 两个模型的行数（以 ｜ 分隔的译文数）必须一致。
- base_line = next(l for l in block.splitlines() if l.startswith("- _baseline:"))
- other_line = next(l for l in block.splitlines() if l.startswith("- local-qwen3-30b-a3b:"))
- assert base_line.count("｜") == other_line.count("｜")
diff --git a/tests/test_translation_line_alignment.py b/tests/test_translation_line_alignment.py
deleted file mode 100644
index 66f10fb..0000000
--- a/tests/test_translation_line_alignment.py
+++ /dev/null
@@ -1,120 +0,0 @@
-"""R05 回归：合法 SRT 多行/空 cue、稳定 ID 翻译和非法模型输出重试。
-
-历史 run_51242078d76e 出现文本贴错时间；仅检查行数或在末尾合并/补空无法
-定位中间缺失。本测试在 HTTP 边界注入 JSON 响应，调用真实翻译实现。
-"""
-
-import json
-from pathlib import Path
-
-import pytest
-
-from nodes import llm
-from wov_sdk.models import InvokeRequest
-
-
-def _http(monkeypatch, answers):
- """按次序返回真实 chat.completions 结构，并记录发出的输入。"""
- calls = []
- iterator = iter(answers)
-
- class Response:
- def __init__(self, content):
- self.content = content
-
- def __enter__(self):
- return self
-
- def __exit__(self, *args):
- return False
-
- def read(self):
- return json.dumps({"choices": [{"message": {"content": self.content}}],
- "usage": {"total_tokens": 10}}).encode()
-
- def open_request(request, **kwargs):
- calls.append(json.loads(request.data))
- answer = next(iterator)
- return Response(answer if isinstance(answer, str) else json.dumps(answer))
-
- monkeypatch.setattr("urllib.request.urlopen", open_request)
- return calls
-
-
-def test_multiline_and_empty_cues_keep_timestamps(monkeypatch, tmp_path):
- """多行正文视为一条 cue，空 cue 不发送翻译，时间轴不会进入模型输入。"""
- source = tmp_path / "input.srt"
- source.write_text("\ufeff7\n00:00:01,000 --> 00:00:02,000\nこんにちは\n元気ですか\n\n"
- "8\n00:00:03,000 --> 00:00:04,000\n\n"
- "9\n00:00:05,000 --> 00:00:06,000\nはい\n", encoding="utf-8")
- calls = _http(monkeypatch, [[{"id": 3, "text": "是的"}, {"id": 1, "text": "你好\n还好吗"}]])
- response = llm.invoke(InvokeRequest(run_id="r", node_instance_id="", inputs={"srt_uri": str(source)}, output_dir=str(tmp_path / "out")))
- assert response.status == "completed", response.error
- assert json.loads(calls[0]["messages"][1]["content"]) == [
- {"id": 1, "text": "こんにちは\n元気ですか"}, {"id": 3, "text": "はい"}]
- text = Path(response.outputs["cn_srt_uri"]).read_text()
- assert text.count("-->") == 3
- assert "00:00:01,000 --> 00:00:02,000\n你好\n还好吗" in text
- assert "00:00:03,000 --> 00:00:04,000\n\n" in text
- assert "00:00:05,000 --> 00:00:06,000\n是的" in text
-
-
-@pytest.mark.parametrize("bad", [
- [{"id": 1, "text": "一"}],
- [{"id": 1, "text": "一"}, {"id": 1, "text": "重复"}],
- [{"id": 1, "text": "一"}, {"id": 99, "text": "未知"}],
- [{"id": True, "text": "一"}, {"id": 2, "text": "二"}],
- [{"id": 1, "text": "一"}, {"id": 2, "text": ""}],
- "一\n二", "{truncated", {"1": "一", "2": "二"},
-])
-def test_invalid_ids_retry_without_positional_repair(monkeypatch, bad):
- """缺失/重复/未知 ID 和无结构文本均重试整批，不猜测句子对应关系。"""
- calls = _http(monkeypatch, [bad, [{"id": 2, "text": "二"}, {"id": 1, "text": "一"}]])
- assert llm.translate_lines(["first", "second"], {}) == ["一", "二"]
- assert len(calls) == 2
- assert calls[0]["messages"][1] == calls[1]["messages"][1]
-
-
-def test_exhausted_alignment_retries_fail_node(monkeypatch, tmp_path):
- """无法对齐时返回 failed，不生成带空占位或错位文本的成功成品。"""
- source = tmp_path / "input.srt"
- source.write_text("1\n00:00:01,000 --> 00:00:02,000\nhello\n", encoding="utf-8")
- calls = _http(monkeypatch, ["无 ID 输出"] * llm.MAX_BATCH_RETRIES)
- response = llm.invoke(InvokeRequest(run_id="r", node_instance_id="", inputs={"srt_uri": str(source)}, output_dir=str(tmp_path / "out")))
- assert response.status == "failed"
- assert len(calls) == llm.MAX_BATCH_RETRIES
- assert not (tmp_path / "out/cn.srt").exists()
-
-
-def test_batch_ids_are_global_and_order_independent(monkeypatch):
- """跨批 ID 保持全局位置，乱序输出也能按正确 cue 回填。"""
- answers = [[{"id": i, "text": f"译{i}"} for i in range(20, 0, -1)],
- [{"id": 22, "text": "译22"}, {"id": 21, "text": "译21"}]]
- calls = _http(monkeypatch, answers)
- assert llm.translate_lines([f"原{i}" for i in range(1, 23)], {}) == [f"译{i}" for i in range(1, 23)]
- assert json.loads(calls[1]["messages"][1]["content"])[0]["id"] == 21
-
-
-def test_malformed_srt_fails_without_llm(monkeypatch, tmp_path):
- """非空坏字幕不能被静默解析为空并成功输出。"""
- source = tmp_path / "input.srt"
- source.write_text("1\ninvalid timestamp\nhello\n", encoding="utf-8")
- calls = _http(monkeypatch, [])
- response = llm.invoke(InvokeRequest(run_id="r", node_instance_id="", inputs={"srt_uri": str(source)}, output_dir=str(tmp_path / "out")))
- assert response.status == "failed"
- assert calls == []
-
-
-@pytest.mark.integration
-def test_real_llm_structured_translation():
- """真实接口校准 JSON 协议；无 Key 时跳过，仅使用短日文句子控制调用量。"""
- import os
- from dotenv import load_dotenv
-
- load_dotenv()
- if not os.getenv("LLM_API_KEY"):
- pytest.skip("未配置 LLM_API_KEY")
- result = llm.translate_lines(["こんにちは。", "ありがとうございます。"], {})
- assert len(result) == 2 and all(result)
- assert any(word in result[0] for word in ("好", "嗨"))
- assert "谢" in result[1]
diff --git a/tests/test_unify_ass_style.py b/tests/test_unify_ass_style.py
deleted file mode 100644
index eecd6f2..0000000
--- a/tests/test_unify_ass_style.py
+++ /dev/null
@@ -1,231 +0,0 @@
-"""历史 VR 双目字幕统一脚本（scripts/unify_ass_style.py）测试。
-
-背景
-----
-`scripts/unify_ass_style.py` 负责把媒体库中由旧版本生成、混有多种历史样式
-的 *.CN_dual_eye.ass 原地改写为 nodes/ass.py 当前统一样式
-（an8 顶部对齐 + 70% 透明 + DEFAULT_MARGIN_TOP=700）。
-
-本测试验证三条关键路径：
-1. 各历史样式（底部实心白 an2+MarginV1200 / 底部半透明 an2+MarginV1020 /
- 顶部 120 / 已是 700）都能正确重建为统一的 700 样式；
-2. 重建结果与 nodes/ass.py 的 ass_header()/dialogue_line()（新生成字幕的
- 唯一出口）**逐字节一致**，防止"新字幕"与"历史改写"两套逻辑漂移；
-3. 脚本文件能被直接加载执行（仓库根运行 uv run python scripts/...），
- 且 rewrite_content 对非 VR 字幕返回 None（不误伤普通 ASS 文件）。
-
-测试使用真实 ASS 内容构造（Script Info + 样式 + 事件），不 mock 文件系统
-之外的任何逻辑。
-"""
-
-from __future__ import annotations
-
-import importlib.util
-import subprocess
-import sys
-from pathlib import Path
-
-import pytest
-
-# 仓库根（tests/ 的上一级），用于导入 scripts/unify_ass_style.py。
-WORKSPACE = Path(__file__).resolve().parent.parent
-SCRIPT_PATH = WORKSPACE / "scripts" / "unify_ass_style.py"
-
-# 用真实可执行的统一脚本构造各历史样式样本：以下文本代表旧版实际输出格式。
-HEADER_3840_OLD = """[Script Info]
-Title: VR Dual-Eye Subtitle
-ScriptType: v4.00+
-Collisions: Normal
-PlayResX: 3840
-PlayResY: 1920
-WrapStyle: 1
-ScaledBorderAndShadow: yes
-
-[V4+ Styles]
-Format: Name,Fontname,Fontsize,PrimaryColour,SecondaryColour,OutlineColour,BackColour,Bold,Italic,Underline,StrikeOut,ScaleX,ScaleY,Spacing,Angle,BorderStyle,Outline,Shadow,Alignment,MarginL,MarginR,MarginV,Encoding
-"""
-
-
-def _load_module():
- """按文件路径加载 scripts/unify_ass_style.py（scripts 不是包，无法 import）。
-
- 与仓库运行方式一致：uv run python scripts/unify_ass_style.py 时 pythonpath
- 含仓库根，模块内 `from nodes.ass import ...` 可正常解析。"""
- spec = importlib.util.spec_from_file_location("unify_ass_style", SCRIPT_PATH)
- module = importlib.util.module_from_spec(spec)
- assert spec is not None and spec.loader is not None
- spec.loader.exec_module(module)
- return module
-
-
-U = _load_module()
-
-
-@pytest.fixture
-def sandbox(tmp_path):
- """构造含三种历史样式 + 一个非 VR 文件的临时媒体库。
-
- 每个测试独立临时目录（function scope），CLI 写盘测试不会污染其他测试。"""
- root = tmp_path
- # 1) 最早期：底部 an2 + 实心白 &H00FFFFFF + MarginV=1200。
- (root / "old_solid.CN_dual_eye.ass").write_text(
- HEADER_3840_OLD
- + "Style: LeftEye,Arial,50,&H00FFFFFF,&H000000FF,&H00000000,&H80000000,0,0,0,0,50,100,0,0,1,4,0,2,50,1970,1200,1\n"
- + "Style: RightEye,Arial,50,&H00FFFFFF,&H000000FF,&H00000000,&H80000000,0,0,0,0,50,100,0,0,1,4,0,2,1970,50,1200,1\n"
- + "\n[Events]\n"
- + "Format: Layer,Start,End,Style,Name,MarginL,MarginR,MarginV,Effect,Text\n"
- + 'Dialogue: 0,00:00:00.000,00:00:03.000,LeftEye,,0,0,0,,{\\an2}第一行\\N第二行\n'
- + 'Dialogue: 0,00:00:00.000,00:00:03.000,RightEye,,0,0,0,,{\\an2}第一行\\N第二行\n',
- encoding="utf-8",
- )
- # 2) 过渡期：底部 an2 + 半透明 &H80FFFFFF + MarginV=1020。
- (root / "mid_translucent.CN_dual_eye.ass").write_text(
- HEADER_3840_OLD
- + "Style: LeftEye,Arial,50,&H80FFFFFF,&H000000FF,&H00000000,&H80000000,0,0,0,0,50,100,0,0,1,4,0,2,50,1970,1020,1\n"
- + "Style: RightEye,Arial,50,&H80FFFFFF,&H000000FF,&H00000000,&H80000000,0,0,0,0,50,100,0,0,1,4,0,2,1970,50,1020,1\n"
- + "\n[Events]\n"
- + "Format: Layer,Start,End,Style,Name,MarginL,MarginR,MarginV,Effect,Text\n"
- + 'Dialogue: 0,00:00:00.000,00:00:03.000,LeftEye,,0,0,0,,{\\an2}你好\n',
- encoding="utf-8",
- )
- # 3) 已是顶部 120 样式（旧代码默认），仍应规整为 700。
- (root / "top120.CN_dual_eye.ass").write_text(
- HEADER_3840_OLD
- + "Style: LeftEye,Arial,50,&HB3FFFFFF,&H000000FF,&H80000000,&H80000000,0,0,0,0,50,100,0,0,1,4,0,8,50,1920,120,1\n"
- + "Style: RightEye,Arial,50,&HB3FFFFFF,&H000000FF,&H80000000,&H80000000,0,0,0,0,50,100,0,0,1,4,0,8,1920,50,120,1\n"
- + "\n[Events]\n"
- + "Format: Layer,Start,End,Style,Name,MarginL,MarginR,MarginV,Effect,Text\n"
- + 'Dialogue: 0,00:00:00.000,00:00:03.000,LeftEye,,0,0,0,,{\\an8}第三行\n',
- encoding="utf-8",
- )
- # 4) 非 VR 字幕（无 LeftEye/RightEye 样式），脚本不应改动。
- (root / "not_vr.CN_dual_eye.ass").write_text(
- "[Script Info]\nPlayResX: 1920\nPlayResY: 1080\n\n[V4+ Styles]\n"
- "Format: Name,Fontname,Fontsize,PrimaryColour,...\nStyle: Default,Arial,20,&H00FFFFFF,...\n",
- encoding="utf-8",
- )
- return root
-
-
-def _read(path: Path) -> str:
- """以 UTF-8 读取测试文件内容。"""
- return path.read_text(encoding="utf-8")
-
-
-def test_rewrite_converges_all_generations(sandbox) -> None:
- """三种历史样式统一后都含 an8 顶部对齐 + 70% 透明 + MarginV=700。"""
- # (文件名, 该文件期望保留的事件文本)
- expected_text = {
- "old_solid": r"第一行\N第二行", # 最早期多行字幕（an2 底部）
- "mid_translucent": "你好", # 过渡期
- "top120": "第三行", # 旧顶部 120
- }
- for name, text in expected_text.items():
- original = _read(sandbox / f"{name}.CN_dual_eye.ass")
- rewritten = U.rewrite_content(original)
- assert rewritten is not None, f"{name} 应被改写"
- # 左/右眼样式都落到统一值：70%透明 + an8 + MarginV=700。
- assert "&HB3FFFFFF,&H000000FF,&H80000000,&H80000000,0,0,0,0,50,100,0,0,1,4,0,8,50,1920,700,1" in rewritten
- assert "&HB3FFFFFF,&H000000FF,&H80000000,&H80000000,0,0,0,0,50,100,0,0,1,4,0,8,1920,50,700,1" in rewritten
- # 对齐标签全部为 an8，不再残留 an2。
- assert r"{\an8}" in rewritten
- assert r"{\an2}" not in rewritten
- # 事件文本原样保留。
- assert text in rewritten
-
-
-def test_rewrite_byte_identical_to_write_ass(sandbox) -> None:
- """历史字幕统一后的输出与 write_ass() 生成的新字幕逐字节一致。
-
- 防止"统一脚本"与"节点生成"两套样式逻辑漂移：两边都经由 ass_header()
- /dialogue_line()（nodes/ass.py 单一出口）。"""
- from nodes.ass import DEFAULT_MARGIN_TOP, ass_header, dialogue_line
-
- # 取 old_solid 样本的事件，用 write_ass 语义重建期望文本。
- original = _read(sandbox / "old_solid.CN_dual_eye.ass")
- rewritten = U.rewrite_content(original)
- assert rewritten is not None
- hdr = ass_header(3840, 1920, margin_top=DEFAULT_MARGIN_TOP).rstrip("\n")
- expected = "\n".join(
- [
- hdr,
- dialogue_line("LeftEye", "00:00:00.000", "00:00:03.000", "第一行\\N第二行"),
- dialogue_line("RightEye", "00:00:00.000", "00:00:03.000", "第一行\\N第二行"),
- ]
- ) + "\n"
- assert rewritten == expected
-
-
-def test_rewrite_skips_non_vr_and_already_canonical(sandbox) -> None:
- """非 VR 字幕返回 None；已是目标样式（MarginV=700）也返回 None（幂等）。"""
- not_vr = _read(sandbox / "not_vr.CN_dual_eye.ass")
- assert U.rewrite_content(not_vr) is None
-
- # 构造一份已是 700 的新样式文本，改写应返回 None（内容不变）。
- from nodes.ass import ass_header, dialogue_line
-
- canonical = (
- ass_header(3840, 1920, margin_top=U.DEFAULT_MARGIN_TOP).rstrip("\n")
- + "\n"
- + dialogue_line("LeftEye", "00:00:00.000", "00:00:03.000", "嗨")
- + "\n"
- )
- assert U.rewrite_content(canonical) is None
-
-
-def test_module_runs_as_cli_dry_run(sandbox) -> None:
- """脚本可作为 CLI 以 dry-run 方式运行（uv run python scripts/...），不写盘。
-
- 复现仓库根运行方式；断言 dry-run 输出含"旧样式分布"与"将改写"，
- 且运行后沙盒内文件一个都没被改动（dry-run 语义）。"""
- before = {p.name: _read(p) for p in sandbox.glob("*.ass")}
- # 不带 --apply = dry-run：应只打印不写盘。
- proc = subprocess.run(
- [sys.executable, str(SCRIPT_PATH), str(sandbox)],
- capture_output=True,
- text=True,
- cwd=WORKSPACE, # 与 uv run python 一致：仓库根在 sys.path
- )
- assert proc.returncode == 0, proc.stderr
- out = proc.stdout
- assert "[将改写]" in out # 预览行标记
- assert "[改写]" not in out # 未真正写盘
- after = {p.name: _read(p) for p in sandbox.glob("*.ass")}
- assert before == after # dry-run 不改动任何文件
-
-
-
-def test_module_cli_apply_writes_files(sandbox) -> None:
- """脚本加 --apply 后真正原地改写，写盘结果与 rewrite_content 一致。
-
- 覆盖 main() 的写盘分支：统计输出显示 [改写]，且文件内容已变为
- MarginV=700 的统一新样式（第二次运行幂等，不再改写）。"""
- # 备份一个将改写的样本，确保 CLI 走的是与单元层相同的重建逻辑。
- old_solid = sandbox / "old_solid.CN_dual_eye.ass"
- expected = U.rewrite_content(old_solid.read_text(encoding="utf-8"))
- assert expected is not None
-
- proc = subprocess.run(
- [sys.executable, str(SCRIPT_PATH), str(sandbox), "--apply"],
- capture_output=True,
- text=True,
- cwd=WORKSPACE,
- )
- assert proc.returncode == 0, proc.stderr
- assert "[改写]" in proc.stdout
- assert old_solid.read_text(encoding="utf-8") == expected
-
- # 幂等：第二次 --apply 不再有任何 [改写]（文件已是目标样式）。
- proc2 = subprocess.run(
- [sys.executable, str(SCRIPT_PATH), str(sandbox), "--apply"],
- capture_output=True,
- text=True,
- cwd=WORKSPACE,
- )
- assert proc2.returncode == 0, proc2.stderr
- assert "[改写]" not in proc2.stdout
-
-def test_module_loads_and_exports() -> None:
- """模块可加载且暴露 rewrite_content / DEFAULT_MARGIN_TOP。"""
- assert U.DEFAULT_MARGIN_TOP == 700
- assert callable(U.rewrite_content)
diff --git a/tests/test_uvicorn_smoke.py b/tests/test_uvicorn_smoke.py
deleted file mode 100644
index 82202b4..0000000
--- a/tests/test_uvicorn_smoke.py
+++ /dev/null
@@ -1,34 +0,0 @@
-"""uvicorn 冒烟测试。
-
-用真实套接字启动 uvicorn 服务并请求 /health，验证应用能脱离 TestClient
-在实际 Web 服务环境中正常工作。
-"""
-
-import threading
-import time
-import urllib.request
-
-from uvicorn import Config, Server
-
-from wov_app.main import app
-
-
-def test_uvicorn_serves_app_over_real_socket() -> None:
- """验证 uvicorn 监听真实端口后健康检查可用。"""
- config = Config(app=app, host="127.0.0.1", port=0, log_level="error")
- server = Server(config)
- thread = threading.Thread(target=server.run, daemon=True)
- thread.start()
- try:
- deadline = time.monotonic() + 10
- while not server.started and time.monotonic() < deadline:
- time.sleep(0.05)
- assert server.started
-
- port = server.servers[0].sockets[0].getsockname()[1]
- with urllib.request.urlopen(f"http://127.0.0.1:{port}/health", timeout=5) as response:
- assert response.status == 200
- assert b'"wov-api"' in response.read()
- finally:
- server.should_exit = True
- thread.join(timeout=10)
diff --git a/tests/test_vad_profiler.py b/tests/test_vad_profiler.py
deleted file mode 100644
index c91244c..0000000
--- a/tests/test_vad_profiler.py
+++ /dev/null
@@ -1,252 +0,0 @@
-"""每视频自适应 VAD 调参测试（先红后绿）。
-
-验证信号分析 profile_audio、启发式参数建议 suggest_vad_parameters、
-转录质量评分 score_transcript（幻觉词扣分）与 vad_parameters_for_audio
-（信号分析 + 片段网格验证）。
-
-评分**不依赖参考字幕**（实际部署无参考），用转录质量 + 幻觉词扣分。
-"""
-
-from __future__ import annotations
-
-import wave
-from pathlib import Path
-
-import pytest
-
-from nodes.vad_profiler import (
- AudioProfile,
- HALLUCINATION_TOKENS,
- profile_audio,
- score_transcript,
- suggest_vad_parameters,
- vad_parameters_for_audio,
- _pick_representative_start,
-)
-
-
-class _Seg:
- """模拟 whisper segment：仅含 text。"""
-
- def __init__(self, text):
- self.text = text
-
-
-def _make_wav(path: Path, silence_seconds: int, voice_seconds: int) -> None:
- """生成 [静音 N 秒 + 语音 N 秒] 的 16kHz 单声道 WAV。
-
- silence 用 0 样本（静音），voice 用较大振幅样本（语音）。
- """
- import array
-
- rate = 16000
- silence = array.array("h", [0] * rate * silence_seconds)
- voice = array.array("h", [8000] * rate * voice_seconds)
- samples = silence + voice
- with wave.open(str(path), "wb") as f:
- f.setnchannels(1)
- f.setsampwidth(2)
- f.setframerate(rate)
- f.writeframes(samples.tobytes())
-
-
-def test_profile_audio_detects_bgm_heavy() -> None:
- """纯静音+语音的视频：silence_ratio 高、非 BGM 覆盖；mediam_rms 合理。"""
- wav = Path("/tmp/test_vad_plain.wav")
- _make_wav(wav, silence_seconds=40, voice_seconds=10)
- p = profile_audio(wav, 16000)
- assert p.silence_ratio > 0.5
- assert p.bgm_heavy is False
- assert p.duration_seconds == pytest.approx(50.0, abs=1)
-
-
-def test_suggest_vad_parameters_plain_silence() -> None:
- """静音占比高且无长停顿 -> 建议 threshold 偏高（静音权重分支）。"""
- wav = Path("/tmp/test_vad_plain2.wav")
- # 交替短静音避免触发 long_silence（<5s 连续静音）。
- _make_wav(wav, silence_seconds=3, voice_seconds=1)
- _make_wav(wav, silence_seconds=3, voice_seconds=1)
- p = profile_audio(wav, 16000)
- assert p.long_silence is False
- params = suggest_vad_parameters(p)
- assert params["threshold"] >= 0.5
-
-
-def test_suggest_vad_parameters_bgm() -> None:
- """BGM 覆盖（低能量占比高但静音少）-> threshold 降低、min_silence 减小。"""
- p = AudioProfile(
- silence_ratio=0.1, # 几乎无静音
- lowish_ratio=0.6, # 大量低能量（音乐）
- bgm_heavy=True, # 直接标记 BGM 覆盖
- long_silence=False,
- rms_bins=[500] * 100,
- )
- params = suggest_vad_parameters(p)
- assert params["threshold"] < 0.5 # 降低
- assert params["min_silence_duration_ms"] < 1000 # 减小
-
-
-def test_score_transcript_penalizes_hallucination() -> None:
- """幻觉词（感谢观看/晚安/音乐）多 -> 评分低。"""
- good = [_Seg("ありがとうございます本日は"), _Seg("かしこまりました")]
- bad = [_Seg("ご視聴ありがとうございました"), _Seg("おやすみなさい"), _Seg("音楽")]
- assert score_transcript(good) > score_transcript(bad)
-
-
-def test_score_transcript_penalizes_fragments() -> None:
- """碎片（纯单字/语气词）多 -> 评分低。"""
- clean = [_Seg("今日はとても暑いですね"), _Seg("それでは始めましょう")]
- frag = [_Seg("あ"), _Seg("うん"), _Seg("はい"), _Seg("あっ")]
- assert score_transcript(clean) > score_transcript(frag)
-
-
-def test_vad_parameters_for_audio_uses_grid_when_provider() -> None:
- """提供 whisper 回调时：从候选网格选评分最高的参数（threshold 最小者）。"""
- wav = Path("/tmp/test_vad_grid.wav")
- _make_wav(wav, silence_seconds=10, voice_seconds=5)
-
- def fake_whisper(**kwargs):
- # 假设最优 = threshold 最小的候选（suggest 0.5 时候选含 0.4）。
- t = kwargs.get("vad_parameters", {}).get("threshold", 0.5)
- if t <= 0.4:
- # 最优组合：无幻觉的正常长句（分数最高）。
- return [_Seg("今日はお客様のために精神整備を務めさせていただきます")]
- # 其它组合：幻觉套话（分数低）。
- return [_Seg("ご視聴ありがとうございました"), _Seg("おやすみなさい")]
-
- params = vad_parameters_for_audio(
- wav, sample_rate=16000, whisper_invoke=fake_whisper, run_dir=Path("/tmp")
- )
- # 网格应从候选里选出评分最高的 threshold=0.4 的组合。
- assert params["threshold"] == pytest.approx(0.4, abs=0.1)
-
-
-def test_vad_parameters_for_audio_fallback_without_provider() -> None:
- """无 whisper 回调：退化为信号分析建议，不报错。"""
- wav = Path("/tmp/test_vad_noprov.wav")
- _make_wav(wav, silence_seconds=10, voice_seconds=5)
- params = vad_parameters_for_audio(wav, sample_rate=16000, whisper_invoke=None)
- assert "threshold" in params
- assert "min_silence_duration_ms" in params
-
-
-def test_hallucination_tokens_included() -> None:
- """幻觉词集合应含常用套话（感谢观看/晚安/音乐）。"""
- all_str = " ".join(HALLUCINATION_TOKENS)
- assert "ご視聴ありがとうございました" in all_str
- assert "おやすみなさい" in all_str
- assert "音楽" in all_str
-
-def test_suggest_vad_parameters_long_silence() -> None:
- """长停顿常见 -> 建议 threshold 0.5、speech_pad 200（防时间轴压缩漂移）。"""
- p = AudioProfile(
- silence_ratio=0.2, lowish_ratio=0.3, bgm_heavy=False, long_silence=True,
- rms_bins=[500] * 100,
- )
- params = suggest_vad_parameters(p)
- assert params["threshold"] == 0.5
- assert params["speech_pad_ms"] == 200
-
-
-def test_suggest_vad_parameters_regular() -> None:
- """常规音频（无特殊标记）-> 默认 0.5/1000/400。"""
- p = AudioProfile(
- silence_ratio=0.2, lowish_ratio=0.3, bgm_heavy=False, long_silence=False,
- rms_bins=[1500] * 100,
- )
- params = suggest_vad_parameters(p)
- assert params["threshold"] == 0.5
- assert params["min_silence_duration_ms"] == 1000
- assert params["speech_pad_ms"] == 400
-
-
-def test_pick_representative_start_all_silence() -> None:
- """全静音音频：窗口恐怖沉默用 score>0.55 惩罚，仍返回起始 0。"""
- p = AudioProfile(
- rms_bins=[50] * 100, silence_ratio=0.9, lowish_ratio=0.9,
- bgm_heavy=False, long_silence=False,
- )
- start = _pick_representative_start(p, 90)
- assert start >= 0 and start < 10
-
-
-def test_grid_search_exception_skipped() -> None:
- """网格搜索某组参数调用抛异常：跳过该组，不崩溃。"""
- called = {"n": 0}
-
- def failing_whisper(**kwargs):
- called["n"] += 1
- raise RuntimeError("mock download fail")
-
- from nodes.vad_profiler import _grid_search_vad
-
- params = _grid_search_vad(
- failing_whisper, Path("/tmp/x.wav"), Path("/tmp"), 60, 0,
- {"threshold": 0.5, "min_silence_duration_ms": 1000, "speech_pad_ms": 400},
- )
- # 全部失败时回退 suggested。
- assert params == {"threshold": 0.5, "min_silence_duration_ms": 1000, "speech_pad_ms": 400}
- assert called["n"] > 0
-
-
-def test_candidate_params_expands_grid() -> None:
- """候选网格应含建议值邻域（threshold±0.1、silence 倍、pad 组合）。"""
- from nodes.vad_profiler import _candidate_params
-
- cands = _candidate_params(
- {"threshold": 0.5, "min_silence_duration_ms": 1000, "speech_pad_ms": 400}
- )
- assert len(cands) == 27
- assert {"threshold": 0.4, "min_silence_duration_ms": 500, "speech_pad_ms": 0} in cands
- assert {"threshold": 0.6, "min_silence_duration_ms": 2000, "speech_pad_ms": 400} in cands
-
-
-def test_median_rms_empty_returns_zero() -> None:
- """rms_bins 为空时 median_rms 返回 0。"""
- p = AudioProfile(rms_bins=[])
- assert p.median_rms == 0.0
-
-
-def test_profile_audio_empty_wav() -> None:
- """空的 WAV（无样本）-> 返回 duration 0 的空 profile，不崩溃。"""
- import array
- wav = Path("/tmp/test_vad_empty.wav")
- with wave.open(str(wav), "wb") as f:
- f.setnchannels(1); f.setsampwidth(2); f.setframerate(16000)
- f.writeframes(array.array("h", []).tobytes())
- p = profile_audio(wav, 16000)
- assert p.duration_seconds == 0.0
-
-
-def test_grid_search_ignores_non_list() -> None:
- """网格搜索回调返回非 list（如 None）应被跳过，回退建议值。"""
- from nodes.vad_profiler import _grid_search_vad
-
- params = _grid_search_vad(
- lambda **kw: None, Path("/tmp/x.wav"), Path("/tmp"), 60, 0,
- {"threshold": 0.5, "min_silence_duration_ms": 1000, "speech_pad_ms": 400},
- )
- assert params == {"threshold": 0.5, "min_silence_duration_ms": 1000, "speech_pad_ms": 400}
-
-
-def test_score_transcript_empty_list() -> None:
- """空列表评分返回 0。"""
- assert score_transcript([]) == 0.0
-
-
-def test_score_transcript_ignores_empty_text_seg() -> None:
- """含空文本的 segment 被跳过，不报错。"""
- assert score_transcript([_Seg(""), _Seg("今日は暑いです")]) > 0
-
-
-def test_profile_audio_different_sample_rate() -> None:
- """采样率与请求不一致时用 wave 实际 rate 近似，不崩溃。"""
- import array
- wav = Path("/tmp/test_vad_rate.wav")
- rate = 8000
- samples = array.array("h", [5000] * rate * 2) # 2s 语音
- with wave.open(str(wav), "wb") as f:
- f.setnchannels(1); f.setsampwidth(2); f.setframerate(rate)
- f.writeframes(samples.tobytes())
- p = profile_audio(wav, 16000)
- assert p.duration_seconds == pytest.approx(2.0, abs=0.2)
diff --git a/tests/test_workflow_api.py b/tests/test_workflow_api.py
deleted file mode 100644
index c4892a9..0000000
--- a/tests/test_workflow_api.py
+++ /dev/null
@@ -1,202 +0,0 @@
-"""工作流管理 API 测试。
-
-覆盖工作流的创建、查询、校验、发布、版本列表与删除等管理接口。
-"""
-
-from fastapi.testclient import TestClient
-
-from wov_app.main import app
-
-
-def definition() -> dict:
- """构造一个引用 Echo 节点的合法工作流定义。"""
- return {
- "name": "echo-flow",
- "version": 1,
- "nodes": [
- {
- "id": "step",
- "node_type": "echo",
- "inputs": {"file_uri": "input.video_uri"},
- }
- ],
- "edges": [],
- "entry_inputs": {"video_uri": "file"},
- "final_outputs": {"result": "step.file_uri"},
- }
-
-
-def cyclic_definition() -> dict:
- """构造带环的 DAG 定义（a → b → a），用于验证保存/发布拒绝无效工作流。
-
- 环上的两个节点互相引用对方输出，形成了无法拓扑排序的依赖：节点 ID 唯一、
- 边引用的节点都存在，因此只有环检测能拦住它（R04 复现定义）。
- """
- return {
- "name": "cyclic",
- "version": 1,
- "nodes": [
- {"id": "a", "node_type": "echo", "inputs": {"file_uri": "b.file_uri"}},
- {"id": "b", "node_type": "echo", "inputs": {"file_uri": "a.file_uri"}},
- ],
- "edges": [{"from": "a", "to": "b"}, {"from": "b", "to": "a"}],
- "entry_inputs": {"video_uri": "file"},
- "final_outputs": {"result": "a.file_uri"},
- }
-
-
-def test_create_workflow_rejects_cycle() -> None:
- """验证保存环形 DAG 返回 422，不把无效版本写入版本表。"""
- with TestClient(app) as client:
- response = client.post(
- "/api/admin/workflows",
- json={
- "id": "cyclic-flow",
- "name": "Cyclic Flow",
- "definition": cyclic_definition(),
- },
- )
- assert response.status_code == 422
- assert "cycle" in response.json()["detail"]
- # 拒绝保存时不得留下半成品工作流/版本记录。
- db = app.state.db
- assert db.get_workflow("cyclic-flow") is None
- assert db.list_workflow_versions("cyclic-flow") == []
-
- # 已有工作流重新提交带环定义：同样拒绝，不追加新版本。
- assert client.post(
- "/api/admin/workflows",
- json={"id": "cycle-check", "name": "Cycle Check", "definition": definition()},
- ).status_code == 200
- assert client.post(
- "/api/admin/workflows",
- json={"id": "cycle-check", "name": "Cycle Check", "definition": cyclic_definition()},
- ).status_code == 422
- assert db.get_workflow("cycle-check")["latest_version"] == 1
- assert len(db.list_workflow_versions("cycle-check")) == 1
- db.delete_workflow("cycle-check")
-
-
-def test_validate_workflow_rejects_cycle() -> None:
- """验证只校验不保存的接口同样拒绝环形 DAG。"""
- with TestClient(app) as client:
- db = app.state.db
- # 独立工作流 ID 并显式清理，避免与其他用例（共用同一个测试数据库）互相影响。
- assert client.post(
- "/api/admin/workflows",
- json={"id": "cycle-check", "name": "Cycle Check", "definition": definition()},
- ).status_code == 200
- response = client.post(
- "/api/admin/workflows/cycle-check/validate",
- json=cyclic_definition(),
- )
- assert response.status_code == 422
- assert "cycle" in response.json()["detail"]
- db.delete_workflow("cycle-check")
-
-
-def test_publish_rejects_cycle_in_latest_version() -> None:
- """验证历史遗留的环形版本不能被发布（发布前重新校验最新版本定义）。"""
- with TestClient(app) as client:
- db = app.state.db
- # 直接写库模拟修复前已保存的无效版本（保存接口现在会拒绝，只能这样构造）。
- db.upsert_workflow(
- {"id": "legacy-cyclic", "name": "Legacy", "published": 0, "latest_version": 1}
- )
- db.create_workflow_version("legacy-cyclic", 1, cyclic_definition())
- response = client.post("/api/admin/workflows/legacy-cyclic/publish")
- assert response.status_code == 422
- assert "cycle" in response.json()["detail"]
- assert db.get_workflow("legacy-cyclic")["published"] == 0
- db.delete_workflow("legacy-cyclic")
-
-
-def test_workflow_crud_and_publish() -> None:
- """验证工作流 CRUD、校验、发布与版本列表的完整流程。"""
- with TestClient(app) as client:
- created = client.post(
- "/api/admin/workflows",
- json={
- "id": "echo-flow",
- "name": "Echo Flow",
- "description": "demo",
- "definition": definition(),
- },
- )
- assert created.status_code == 200
- assert created.json()["id"] == "echo-flow"
-
- assert client.get("/api/admin/workflows").status_code == 200
- assert client.get("/api/admin/workflows/echo-flow").status_code == 200
- assert client.get("/api/admin/workflows/missing").status_code == 404
-
- validated = client.post(
- "/api/admin/workflows/echo-flow/validate",
- json=definition(),
- )
- assert validated.status_code == 200
- assert validated.json()["valid"] is True
- assert client.post(
- "/api/admin/workflows/missing/validate",
- json=definition(),
- ).status_code == 404
-
- published = client.post("/api/admin/workflows/echo-flow/publish")
- assert published.status_code == 200
- assert published.json()["published"] == "echo-flow"
- assert client.post("/api/admin/workflows/missing/publish").status_code == 404
-
- versions = client.get("/api/admin/workflows/echo-flow/versions")
- assert versions.status_code == 200
- assert len(versions.json()) == 1
- assert client.get("/api/admin/workflows/missing/versions").status_code == 404
-
- assert client.delete("/api/admin/workflows/echo-flow").status_code == 200
- assert client.delete("/api/admin/workflows/echo-flow").status_code == 404
-
-
-def test_workflow_slug_without_id() -> None:
- """验证未提供 ID 时后端会从名称生成 slug。"""
- with TestClient(app) as client:
- created = client.post(
- "/api/admin/workflows",
- json={
- "name": "Echo Flow",
- "definition": definition(),
- },
- )
- assert created.status_code == 200
- assert created.json()["id"] == "echo-flow"
-
-
-def test_workflow_validation_error() -> None:
- """验证重复节点 ID 的 DAG 会被拒绝。"""
- with TestClient(app) as client:
- response = client.post(
- "/api/admin/workflows",
- json={
- "id": "bad",
- "name": "Bad",
- "definition": {
- "name": "Bad",
- "version": 1,
- "nodes": [
- {"id": "a", "node_type": "x"},
- {"id": "a", "node_type": "y"},
- ],
- "edges": [],
- },
- },
- )
- assert response.status_code == 422
-
-
-def test_publish_workflow_without_version() -> None:
- """验证没有版本记录的工作流不能发布。"""
- with TestClient(app) as client:
- db = app.state.db
- db.upsert_workflow(
- {"id": "empty", "name": "Empty", "published": 0, "latest_version": 0}
- )
- response = client.post("/api/admin/workflows/empty/publish")
- assert response.status_code == 422
diff --git a/tests/web/__init__.py b/tests/web/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/web/test_crop/__init__.py b/tests/web/test_crop/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/web/test_crop/test_crop_js.py b/tests/web/test_crop/test_crop_js.py
new file mode 100644
index 0000000..0b022d7
--- /dev/null
+++ b/tests/web/test_crop/test_crop_js.py
@@ -0,0 +1,180 @@
+"""web/assets/crop.js 的模块级测试（数据 → 测试过程 → 验证结果）。
+
+被测模块：`web/assets/crop.js`（前端框选矩形 ↔ crop 比例的纯函数，含
+object-fit: contain 的 letterbox 处理），被 OCR 框选面板复用。
+
+实现方式：在 Node.js 子进程中加载真实 JS 模块并调用真实函数（不重写逻辑），
+验证换算结果；环境无 node 时跳过（保持跨平台可运行）。
+"""
+
+from __future__ import annotations
+
+import json
+import shutil
+import subprocess
+from pathlib import Path
+
+import pytest
+
+# 仓库根与被测脚本。
+WORKSPACE = Path(__file__).resolve().parents[3]
+CROP_JS = WORKSPACE / "web" / "assets" / "crop.js"
+
+# 用真实 JS 引擎执行调用的封装：把用例数据交给 crop.js 的真实实现。
+_CALL_SCRIPT = """
+const crop = require(process.argv[1]);
+const payload = JSON.parse(process.argv[2]);
+const fn = crop[payload.fn];
+const result = fn(...payload.args);
+process.stdout.write(JSON.stringify(result));
+"""
+
+
+def _run(fn: str, *args) -> object:
+ """在 node 中调用 crop.js 的真实函数并返回解析后的结果。"""
+ node = shutil.which("node")
+ if node is None:
+ pytest.skip("环境没有 node，跳过 JS 模块测试")
+ completed = subprocess.run(
+ [node, "-e", _CALL_SCRIPT, str(CROP_JS), json.dumps({"fn": fn, "args": list(args)})],
+ capture_output=True,
+ text=True,
+ )
+ assert completed.returncode == 0, completed.stderr
+ return json.loads(completed.stdout)
+
+
+# ---------------------------------------------------------------------------
+# videoDisplayRect：contain 显示区域
+# ---------------------------------------------------------------------------
+
+
+def test_display_rect_matches_box_when_aspect_equal() -> None:
+ """视频与容器宽高比一致时铺满容器，无留边。"""
+ # 数据：1920x1080 视频放进 960x540 容器。
+ # 测试过程
+ rect = _run("videoDisplayRect", 1920, 1080, 960, 540)
+
+ # 验证结果
+ assert rect == {"x": 0, "y": 0, "w": 960, "h": 540}
+
+
+def test_display_rect_letterboxes_on_wide_container() -> None:
+ """容器比视频更宽时左右留边（横屏视频放进方形容器）。"""
+ # 数据：1920x1080 视频放进 1000x1000 容器。
+ # 测试过程
+ rect = _run("videoDisplayRect", 1920, 1080, 1000, 1000)
+
+ # 验证结果：宽 1000、高 562.5，上下居中留边。
+ assert rect["w"] == pytest.approx(1000)
+ assert rect["h"] == pytest.approx(562.5)
+ assert rect["x"] == pytest.approx(0)
+ assert rect["y"] == pytest.approx((1000 - 562.5) / 2)
+
+
+def test_display_rect_letterboxes_on_tall_container() -> None:
+ """容器比视频更高时上下留边。"""
+ # 数据：1000x1000 视频放进 500x1000 容器。
+ # 测试过程
+ rect = _run("videoDisplayRect", 1000, 1000, 500, 1000)
+
+ # 验证结果：宽高均为 500，水平居中。
+ assert rect["w"] == pytest.approx(500)
+ assert rect["h"] == pytest.approx(500)
+ assert rect["x"] == pytest.approx(0)
+ assert rect["y"] == pytest.approx(250)
+
+
+# ---------------------------------------------------------------------------
+# rectToCrop：框选 → 比例
+# ---------------------------------------------------------------------------
+
+
+def test_rect_to_crop_full_frame() -> None:
+ """框选整个显示区域得到 [0,0,1,1]。"""
+ # 数据：显示区为整个容器。
+ # 测试过程
+ crop = _run("rectToCrop", {"x": 0, "y": 0, "w": 960, "h": 540}, 1920, 1080, 960, 540)
+
+ # 验证结果
+ assert crop == [0, 0, 1, 1]
+
+
+def test_rect_to_crop_bottom_quarter() -> None:
+ """框选底部 1/4 得到默认字幕区比例 [0,0.75,1,0.25]。"""
+ # 数据：底部四分之一的显示坐标。
+ # 测试过程
+ crop = _run("rectToCrop", {"x": 0, "y": 405, "w": 960, "h": 135}, 1920, 1080, 960, 540)
+
+ # 验证结果
+ assert crop == [0, 0.75, 1, 0.25]
+
+
+def test_rect_to_crop_accounts_for_letterbox_offset() -> None:
+ """存在留边时，框选坐标先减去显示区偏移（否则比例整体偏移）。"""
+ # 数据：1920x1080 放 1000x1000 容器（上下各留 218.75），框选显示区上半。
+ rect = {"x": 0, "y": 218.75, "w": 1000, "h": 281.25}
+
+ # 测试过程
+ crop = _run("rectToCrop", rect, 1920, 1080, 1000, 1000)
+
+ # 验证结果：y 从 0 开始、高度占一半。
+ assert crop[0] == pytest.approx(0)
+ assert crop[1] == pytest.approx(0)
+ assert crop[2] == pytest.approx(1)
+ assert crop[3] == pytest.approx(0.5)
+
+
+def test_rect_to_crop_clamps_out_of_range_to_0_1() -> None:
+ """越界框选被钳制到 0~1（不产生非法 crop 参数）。"""
+ # 数据：超出显示区的矩形（含负坐标）。
+ # 测试过程
+ crop = _run("rectToCrop", {"x": -500, "y": -500, "w": 5000, "h": 5000}, 1920, 1080, 960, 540)
+
+ # 验证结果：全部落在 [0,1]。
+ assert all(0 <= value <= 1 for value in crop)
+ assert crop[0] == 0 and crop[1] == 0
+ assert crop[2] == 1 and crop[3] == 1
+
+
+def test_rect_to_crop_rounds_to_three_decimals() -> None:
+ """比例保留 3 位小数（与帧清单时间戳精度约定一致）。"""
+ # 数据：会产生长小数的框选。
+ # 测试过程
+ crop = _run("rectToCrop", {"x": 1, "y": 2, "w": 333, "h": 77}, 1920, 1080, 960, 540)
+
+ # 验证结果：每个值最多 3 位小数。
+ for value in crop:
+ assert round(value, 3) == value
+
+
+# ---------------------------------------------------------------------------
+# cropToRect：比例 → 框选（回显）
+# ---------------------------------------------------------------------------
+
+
+def test_crop_to_rect_is_inverse_of_rect_to_crop() -> None:
+ """比例转回矩形与原始框选一致（回显正确，误差在 3 位小数内）。"""
+ # 数据：一个中间框选。
+ rect = {"x": 120, "y": 300, "w": 480, "h": 135}
+
+ # 测试过程
+ crop = _run("rectToCrop", rect, 1920, 1080, 960, 540)
+ restored = _run("cropToRect", crop, 1920, 1080, 960, 540)
+
+ # 验证结果：各分量误差极小。
+ for key in ("x", "y", "w", "h"):
+ assert restored[key] == pytest.approx(rect[key], abs=1.0)
+
+
+def test_crop_to_rect_bottom_quarter() -> None:
+ """默认 crop 比例回显为底部四分之一矩形。"""
+ # 数据：默认 crop。
+ # 测试过程
+ rect = _run("cropToRect", [0, 0.75, 1, 0.25], 1920, 1080, 960, 540)
+
+ # 验证结果
+ assert rect["x"] == pytest.approx(0)
+ assert rect["y"] == pytest.approx(405)
+ assert rect["w"] == pytest.approx(960)
+ assert rect["h"] == pytest.approx(135)