模型与管线切换后需要把媒体库里旧管线生成的字幕整批重跑。批量引擎按"视频旁 已有字幕即 SKIPPED"判定,重跑前必须先统计范围、再把旧字幕改名备份,否则建出来 的任务会把所有视频全部跳过。 - `scripts/plan_regenerate_subtitles.py`:扫描媒体库,按 CN 产物的最早 mtime 判定 生成时间,统计待重生成的数量/时长/体积并输出 JSON 计划;`--backup-old [--apply] [--select]` 把旧字幕原地改名为 `<原名>.old-<日期>` 供批量重跑。脚本不依赖仓库, 可拷到媒体库主机直接跑(CIFS 挂载下逐文件 ffprobe 太慢)。 - 测试覆盖真实 10 秒视频与真实字幕文件,含 ffprobe 时长探测、分类边界、 备份幂等与选择清单解析。
321 lines
13 KiB
Python
321 lines
13 KiB
Python
"""统计媒体库中需要重新生成字幕的视频数量与时长,产出可复用的重生成计划。
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判定口径(`--before` 可调):
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- 只看本流水线产出的 CN 字幕:`<视频名>.CN.srt` 与 `<视频名>.CN_dual_eye.ass`;
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- 生成时间取这些产物中**最早**的 mtime。双目 `.ass` 可能被样式统一脚本原地
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改写而"变新",中文字幕的 mtime 才反映真实生成时间,取最早值两者兼容;
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- 生成时间早于 `--before`(默认 2026-09-01,本地时区)即列为待重新生成;
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- 完全没有 CN 字幕的视频单独统计,不算"重生成"(那属于首次生成)。
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脚本不依赖仓库,可拷到媒体库所在主机直接跑(共享目录挂载方式下逐文件
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ffprobe 太慢):目录内容只读,不改动任何文件;结果写 JSON 计划供批量重跑。
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用法:
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python3 scripts/plan_regenerate_subtitles.py /mnt/fnOS/123
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python3 scripts/plan_regenerate_subtitles.py /vol1/1000/123 --before 2026-09-01 \
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--out data/experiments/regen_plan.json
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批量引擎看到视频旁已有字幕就会跳过该视频,重生成前需先改名备份旧字幕:
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python3 scripts/plan_regenerate_subtitles.py /vol1/1000/123 --backup-old
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python3 scripts/plan_regenerate_subtitles.py /vol1/1000/123 --backup-old --apply \
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--select sample.txt
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"""
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from __future__ import annotations
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import argparse
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import json
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import subprocess
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import sys
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from concurrent.futures import ThreadPoolExecutor
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from datetime import datetime
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from pathlib import Path
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# 与 src/wov_app/batch.py 的 VIDEO_EXTENSIONS / SUBTITLE_EXTENSIONS 保持一致,
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# 本脚本要在媒体库主机上独立运行,故不复用仓库常量。
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VIDEO_EXTENSIONS = {
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".mp4", ".mkv", ".avi", ".mov", ".webm", ".flv", ".ts",
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".m4v", ".wmv", ".mpg", ".mpeg", ".3gp",
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}
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SUBTITLE_EXTENSIONS = {".srt", ".ass", ".ssa", ".vtt"}
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# CN 产物识别:这两个后缀由本流水线生成(见 batch.py 的产物命名约定);
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# 媒体库里其它 .srt 多为片源自带字幕,不参与"字幕生成时间"判定。
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CN_PRODUCT_MARKERS = (".cn.srt", ".cn_dual_eye.ass")
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PENDING = "pending"
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CURRENT = "current"
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MISSING = "missing"
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def iter_videos(root: Path) -> list[Path]:
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"""递归列出媒体库下全部视频文件,按路径排序保证结果可复现。"""
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paths = [
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p for p in root.rglob("*")
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if p.is_file() and p.suffix.lower() in VIDEO_EXTENSIONS
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]
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return sorted(paths)
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def cn_products(video: Path) -> list[Path]:
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"""列出视频旁由本流水线产出的 CN 字幕(同一目录、文件名含视频主名)。"""
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stem = video.stem.lower()
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found: list[Path] = []
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for item in video.parent.iterdir():
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if not item.is_file():
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continue
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name = item.name.lower()
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if item.suffix.lower() not in SUBTITLE_EXTENSIONS:
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continue
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if stem in name and name.endswith(CN_PRODUCT_MARKERS):
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found.append(item)
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return sorted(found)
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def sidecar_subtitles(video: Path) -> list[Path]:
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"""列出批量引擎认定为“已有字幕”的旁挂字幕文件(与 batch.py 判定一致)。
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同目录、字幕扩展名、文件名包含视频主名;主名只有单个字符时只接受
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“主名.”前缀,避免 a.mp4 误配 apple.srt。
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"""
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stem = video.stem.lower()
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try:
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siblings = list(video.parent.iterdir())
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except OSError:
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return []
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found: list[Path] = []
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for item in siblings:
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try:
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if not item.is_file() or item.suffix.lower() not in SUBTITLE_EXTENSIONS:
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continue
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except OSError:
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continue
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name = item.name.lower()
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if len(stem) <= 1:
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matched = name.startswith(stem + ".")
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else:
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matched = stem in name
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if matched:
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found.append(item)
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return sorted(found)
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def read_select_list(path: Path) -> set[str]:
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"""读取 `--select` 文件里的视频标识(每行一个,支持行首或行尾 `#` 注释)。"""
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keys: set[str] = set()
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for line in Path(path).read_text(encoding="utf-8").splitlines():
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text = line.split(" #", 1)[0].strip()
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if text and not text.startswith("#"):
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keys.add(text)
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return keys
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def backup_old_subtitles(items: list[dict], suffix: str, apply: bool = False,
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select: set[str] | None = None) -> list[tuple[Path, Path]]:
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"""把待重生成视频的旁挂字幕原地改名,让批量引擎不再把该视频判为已有字幕。
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改名目标为 `<原名><suffix>`;目标已存在(同一批重复执行)时跳过,不覆盖
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旧备份。apply=False 只返回改名为计划,不动磁盘。select 按绝对路径、
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相对路径或文件名筛选要处理的视频。
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"""
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changed: list[tuple[Path, Path]] = []
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for item in items:
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video = Path(item["video"])
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if select is not None:
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keys = (str(video), item.get("rel"), video.name)
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if not any(key in select for key in keys if key):
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continue
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for sub in sidecar_subtitles(video):
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target = sub.with_name(sub.name + suffix)
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if target.exists():
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continue
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if apply:
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sub.rename(target)
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changed.append((sub, target))
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return changed
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def probe_duration(video: Path, timeout: float = 120.0) -> float | None:
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"""用 ffprobe 读取容器时长(秒);失败返回 None,由调用方单独计数。"""
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try:
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proc = subprocess.run(
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[
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"ffprobe", "-v", "error",
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"-show_entries", "format=duration",
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"-of", "default=nw=1:nk=1", str(video),
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],
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capture_output=True, text=True, timeout=timeout,
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)
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except (OSError, subprocess.TimeoutExpired):
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return None
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if proc.returncode != 0:
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return None
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try:
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return float(proc.stdout.strip())
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except ValueError:
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return None
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def build_items(root: Path, workers: int, probe: bool = True) -> list[dict]:
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"""扫描全部视频,逐条产出路径、大小、时长与 CN 字幕生成时间。"""
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videos = iter_videos(root)
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durations: list[float | None] = [None] * len(videos)
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if probe and videos:
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with ThreadPoolExecutor(max_workers=workers) as pool:
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durations = list(pool.map(probe_duration, videos))
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items: list[dict] = []
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for video, duration in zip(videos, durations):
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products = cn_products(video)
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mtimes = [p.stat().st_mtime for p in products]
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items.append({
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"video": str(video),
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"rel": str(video.relative_to(root)),
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"size": video.stat().st_size,
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"duration": duration,
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"generated_at": datetime.fromtimestamp(min(mtimes)).isoformat() if mtimes else None,
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"cn_products": [
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{"path": str(p), "mtime": datetime.fromtimestamp(p.stat().st_mtime).isoformat()}
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for p in products
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],
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})
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return items
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def classify(items: list[dict], before: datetime) -> dict[str, list[dict]]:
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"""按 CN 字幕生成时间把视频分为待重生成/已最新/无 CN 字幕三组。"""
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groups: dict[str, list[dict]] = {PENDING: [], CURRENT: [], MISSING: []}
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for item in items:
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if item["generated_at"] is None:
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groups[MISSING].append(item)
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elif datetime.fromisoformat(item["generated_at"]) < before:
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groups[PENDING].append(item)
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else:
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groups[CURRENT].append(item)
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return groups
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def _agg(items: list[dict]) -> dict:
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"""汇总一组的数量、总时长、总大小,时长缺失的视频单独计数。"""
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return {
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"count": len(items),
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"seconds": sum(i["duration"] for i in items if i["duration"] is not None),
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"bytes": sum(i["size"] for i in items),
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"no_duration": sum(1 for i in items if i["duration"] is None),
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}
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def _fmt_hours(seconds: float) -> str:
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return f"{seconds / 3600:.2f} 小时"
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def _fmt_duration(probed: bool, seconds: float) -> str:
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"""未探测时长时(--backup-old 等只统计数量的场景)不显示 0 小时。"""
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return _fmt_hours(seconds) if probed else "未探测时长"
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def _fmt_size(num_bytes: int) -> str:
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return f"{num_bytes / (1024 ** 3):.1f} GiB"
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def format_summary(root: Path, items: list[dict], groups: dict[str, list[dict]],
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before: datetime) -> str:
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"""生成人类可读的统计报告(数量 / 时长 / 体积 / 按月分布)。"""
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probed = any(i["duration"] is not None for i in items)
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lines = [
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f"媒体库: {root}",
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f"视频总数: {len(items)} 个 / {_fmt_duration(probed, _agg(items)['seconds'])} / "
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f"{_fmt_size(_agg(items)['bytes'])}",
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"",
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f"待重新生成(CN 字幕早于 {before:%Y-%m-%d}): ",
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]
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pending = _agg(groups[PENDING])
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duration_text = _fmt_duration(probed, pending["seconds"])
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lines.append(f" {pending['count']} 个 / {duration_text} / {_fmt_size(pending['bytes'])}")
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by_month: dict[str, dict] = {}
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for item in groups[PENDING]:
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month = item["generated_at"][:7]
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bucket = by_month.setdefault(month, {"count": 0, "seconds": 0.0})
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bucket["count"] += 1
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bucket["seconds"] += item["duration"] or 0.0
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for month in sorted(by_month):
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bucket = by_month[month]
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lines.append(f" {month}: {bucket['count']} 个 / "
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f"{_fmt_duration(probed, bucket['seconds'])}")
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current = _agg(groups[CURRENT])
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lines.append("")
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lines.append(f"已是最新(生成时间 >= {before:%Y-%m-%d}): {current['count']} 个 / "
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f"{_fmt_duration(probed, current['seconds'])} / {_fmt_size(current['bytes'])}")
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missing = _agg(groups[MISSING])
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lines.append(f"无 CN 字幕(首次生成): {missing['count']} 个 / "
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f"{_fmt_duration(probed, missing['seconds'])} / {_fmt_size(missing['bytes'])}")
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no_duration = sum(1 for i in items if i["duration"] is None)
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if no_duration and probed:
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lines.append(f"警告: {no_duration} 个视频未能读出时长,未计入时长合计")
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return "\n".join(lines)
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def main(argv: list[str] | None = None) -> int:
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parser = argparse.ArgumentParser(description="统计需要重新生成字幕的视频数量与时长")
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parser.add_argument("root", help="媒体库根目录")
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parser.add_argument("--before", default="2026-09-01",
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help="重生成分界线,早于该日期生成的 CN 字幕待重跑(默认 2026-09-01)")
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parser.add_argument("--out", help="计划 JSON 输出路径(默认只打印统计)")
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parser.add_argument("--workers", type=int, default=8, help="ffprobe 并发数(默认 8)")
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parser.add_argument("--no-probe", action="store_true", help="跳过时长探测(只统计数量)")
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parser.add_argument("--list-pending", action="store_true", help="额外打印待重生成的视频路径")
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parser.add_argument("--backup-old", action="store_true",
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help="把待重生成视频的旁挂字幕改名备份(默认预览,需 --apply 落盘)")
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parser.add_argument("--apply", action="store_true", help="与 --backup-old 一起用时真正改名")
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parser.add_argument("--select", help="只处理该文件列出的视频(每行一个路径或文件名)")
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parser.add_argument("--suffix", help="备份后缀,默认 .old-<当天日期>")
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args = parser.parse_args(argv)
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root = Path(args.root).expanduser().resolve()
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if not root.is_dir():
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print(f"目录不存在: {root}", file=sys.stderr)
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return 2
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before = datetime.fromisoformat(args.before)
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need_duration = args.out is not None or args.list_pending or not args.backup_old
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items = build_items(root, max(1, args.workers), probe=need_duration and not args.no_probe)
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groups = classify(items, before)
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print(format_summary(root, items, groups, before))
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if args.list_pending:
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print("\n待重新生成的视频:")
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for item in groups[PENDING]:
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print(f" {item['video']}")
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if args.backup_old:
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suffix = args.suffix or f".old-{datetime.now():%Y%m%d}"
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select = read_select_list(Path(args.select)) if args.select else None
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changed = backup_old_subtitles(groups[PENDING], suffix, apply=args.apply, select=select)
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verb = "已改名" if args.apply else "待改名(预览,未落盘)"
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print(f"\n旧字幕备份(后缀 {suffix}): {verb} {len(changed)} 个文件")
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for source, target in changed:
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print(f" {source} -> {target.name}")
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if args.out:
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out = Path(args.out).expanduser()
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out.parent.mkdir(parents=True, exist_ok=True)
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status_of = {id(i): name for name, group in groups.items() for i in group}
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payload = {
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"root": str(root),
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"before": before.isoformat(),
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"scanned_at": datetime.now().isoformat(),
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"totals": {name: _agg(group) for name, group in groups.items()},
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"items": [{**i, "status": status_of[id(i)]} for i in items],
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}
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out.write_text(json.dumps(payload, ensure_ascii=False, indent=1), encoding="utf-8")
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print(f"\n计划 JSON 已写入: {out}")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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