test: 按模块重写测试代码,删除旧平铺结构

按"测试规则"重写 tests/:一个模块一个目录、用例按数据→过程→验证三段书写、
不保留全局 conftest.py、测试过程只调用真实生产代码。

结构(73 个文件、30 个模块目录、477 用例):
- tests/nodes/  15 个模块目录(srt/whisper/ass/ffmpeg/frame_extract/vlm/
  subtitle_ocr/llm/llm_filter/subtitle_cleanup/subtitle_correction/
  proper_nouns/adaptive_pool/vad_profiler/echo);
- tests/app/    11 个模块目录(db/scheduler/batch/maintenance/registry/seed/
  storage/config/logging/main/routers 三组 API);
- tests/sdk/test_models、tests/web/test_crop、tests/shared(公共设施)。

测试数据随模块目录入库(tests/**/data/),删除根级 testdata/;.gitignore
的 data/ 改为 /data/,否则会连带忽略 tests/**/data/ 导致测试数据无法入库。

顺带发现并修复三个真实缺陷:
- nodes/srt.py:相邻条目缺少空行时把下一条时间轴吞进正文(静默错位),
  改为正文行遇时间戳行即报错;
- src/wov_app/scheduler.py:_file_size 只捕获 OSError,含 \x00 的产物 URI
  抛 ValueError 导致任务误判失败,改为同时捕获;
- nodes/subtitle_correction.py:生产代码依赖测试包解析 SRT,
  改用生产模块 nodes/srt.py。

真实模型/服务集成测试按外部状态跳过:新增 tests/shared/gpu_memory.py
(运行时探测显存、CUDA OOM 转跳过)与 tests/shared/llm_service.py
(无 Key / 余额 / 限流转跳过)。全量 477 passed。
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"""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