feat(scrape): 任意目录就地刮削,按路径识别作品,每次刮削一条记录(SCR-2)
- POST /files/scrape 改为对目录 / 视频文件刮削:已登记用作品,否则按路径识别(本地 + TMDB), 认不准返回候选,选定后再提交;未登记直接用 TMDB 字段,addToLibrary 顺手建作品 - 作品详情重新刮削、入库后自动刮削改为对作品目录刮削,同一实现 - 迁移 0058_scrape_record 替代 media_scrape;GET /files/scrape-records - 与 MP ScrapingChain 的文件布局差分(7 个场景,3 处登记偏离) Co-Authored-By: Claude Opus 5.5 <[email protected]>
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"""SCR-2 刮削差分(文件布局):用 MP 上游 ScrapingChain.scrape_metadata 的真实决策代码,在临时目录里对同一组目录结构
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"就地刮削",记录 MP 写了哪些文件,写 scrape-layout-mp.json。与 apps/server/test/file-manager/scrape-layout.test.ts 对照。
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用法(MP 仓库根目录,用其 .venv):
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cd /opt/moviepilot-plus/upstream/MoviePilot && PYTHONPATH=. \
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.venv/bin/python /opt/uhd_media_tool/apps/server/test/scrape/gen-scrape-layout-mp.py
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只记录行为输出,不复制 MP 源码。替身:
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- 存储:本地目录的最小实现(list_files / get_parent_item / get_file_item / upload_file / contains_bluray_subdirectories);
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- NFO 内容:固定占位(内容差分见 gen-scrape-mp.py);
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- 图片清单:按 MP themoviedb 模块 get_metadata_img 的规则给(作品 poster + backdrop;季 seasonNN-poster;集 episode-thumb);
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- 识别:recognize_media 原样返回传入的作品(路径识别不在此差分范围)。
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刮削策略用 MP 缺省(ScrapingConfig 默认全部 missingonly);手动刮削 overwrite=True(同 MP /media/scrape 接口)。
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"""
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import json
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import pathlib
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import shutil
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import tempfile
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from types import SimpleNamespace
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import app.chain.scraping as scraping_mod
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from app.chain.scraping import ScrapingChain, ScrapingConfig
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from app.domain.context import MediaInfo
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from app.schemas.types import MediaSource, MediaType
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from app.schemas.workflow import FileItem
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HERE = pathlib.Path(__file__).parent
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VIDEO_EXT = (".mkv", ".mp4", ".ts", ".m2ts", ".avi", ".iso")
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def item(p: pathlib.Path) -> FileItem:
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return FileItem(
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storage="local",
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type="dir" if p.is_dir() else "file",
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path=str(p) + ("/" if p.is_dir() else ""),
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name=p.name,
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basename=p.stem if p.is_file() else p.name,
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extension=p.suffix[1:] if p.is_file() else None,
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)
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class LocalStorage:
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def list_files(self, fileitem, recursion=False):
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return [item(c) for c in sorted(pathlib.Path(fileitem.path).iterdir())]
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def get_parent_item(self, fileitem):
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return item(pathlib.Path(fileitem.path.rstrip("/")).parent)
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def get_file_item(self, storage, path):
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p = pathlib.Path(path)
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return item(p) if p.exists() else None
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def upload_file(self, fileitem, path, new_name=None):
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target = pathlib.Path(fileitem.path) / (new_name or path.name)
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shutil.copyfile(path, target)
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return item(target)
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def contains_bluray_subdirectories(self, files):
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return any(f.type == "dir" and f.name.upper() in ("BDMV", "VIDEO_TS") for f in files)
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def make_chain() -> ScrapingChain:
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c = object.__new__(ScrapingChain)
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c.storagechain = LocalStorage()
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c.scraping_policies = ScrapingConfig()
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c.runtime_config = SimpleNamespace(
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video_extensions=VIDEO_EXT, audio_extensions=(".flac", ".mp3"), season_zero_names=("Specials", "SPs")
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)
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c.metadata_nfo = lambda **kw: "<nfo/>"
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def metadata_img(mediainfo, season=None, episode=None):
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if season is not None:
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if episode:
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return {"episode-thumb.jpg": "https://img/still.jpg"}
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return {f"season{str(season).rjust(2, '0')}-poster.jpg": "https://img/season.jpg"}
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return {"poster.jpg": "https://img/poster.jpg", "backdrop.jpg": "https://img/backdrop.jpg"}
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c.metadata_img = metadata_img
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def save_image(fileitem, path, url):
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pathlib.Path(path).write_bytes(b"jpg")
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c._download_and_save_image = save_image
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return c
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class FakeMediaChain:
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def recognize_media(self, meta=None, **kw):
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return CURRENT["media"]
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def recognize_by_meta(self, meta):
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return CURRENT["media"]
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CURRENT: dict = {}
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scraping_mod.MediaChain = FakeMediaChain # 集文件重新识别季集后仍是同一作品
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def media(kind: MediaType, tmdb_id: int, title: str) -> MediaInfo:
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mi = MediaInfo()
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mi.type = kind
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mi.tmdb_id = tmdb_id
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mi.media_source = MediaSource.TMDB
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mi.media_id = str(tmdb_id)
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mi.title = title
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return mi
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SHOW = "人生切割术 (2022)"
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EP1 = f"{SHOW}/Season 1/人生切割术 - S01E01 - 有关地狱的好消息.mkv"
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EP2 = f"{SHOW}/Season 1/人生切割术 - S01E02 - 半循环.mkv"
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MOVIE = "星际穿越 (2014)"
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MOVIE_FILE = f"{MOVIE}/星际穿越 (2014) - 1080p.mkv"
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LOOSE = "Interstellar.2014.1080p.BluRay.mkv"
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TREE = [EP1, EP2, MOVIE_FILE, LOOSE, "Heat (1995)/BDMV/index.bdmv"]
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SCENARIOS = {
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"show_dir": (SHOW, MediaType.TV),
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"season_dir": (f"{SHOW}/Season 1", MediaType.TV),
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"episode_file": (EP2, MediaType.TV),
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"movie_dir": (MOVIE, MediaType.MOVIE),
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"movie_file": (MOVIE_FILE, MediaType.MOVIE),
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"movie_file_in_root": (LOOSE, MediaType.MOVIE),
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"bluray_dir": ("Heat (1995)", MediaType.MOVIE),
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}
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out = {}
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for name, (target, kind) in SCENARIOS.items():
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root = pathlib.Path(tempfile.mkdtemp(prefix="mp-scr-"))
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for f in TREE:
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(root / f).parent.mkdir(parents=True, exist_ok=True)
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(root / f).write_bytes(b"video")
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before = {str(p.relative_to(root)) for p in root.rglob("*") if p.is_file()}
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CURRENT["media"] = media(kind, 95396 if kind == MediaType.TV else 157336, "x")
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chain = make_chain()
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ok, msg = chain.scrape_metadata(fileitem=item(root / target), mediainfo=CURRENT["media"], overwrite=True)
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after = {str(p.relative_to(root)) for p in root.rglob("*") if p.is_file()}
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out[name] = {"target": target, "ok": ok, "written": sorted(after - before)}
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shutil.rmtree(root)
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(HERE / "scrape-layout-mp.json").write_text(json.dumps(out, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
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print(json.dumps(out, ensure_ascii=False, indent=2))
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# 生成后在本仓库跑一次格式化(lint 要求):deno run -A npm:@biomejs/biome check --write apps/server/test/scrape/scrape-layout-mp.json
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{
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"show_dir": {
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"target": "人生切割术 (2022)",
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"ok": true,
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"written": [
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"人生切割术 (2022)/Season 1/poster.jpg",
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"人生切割术 (2022)/Season 1/season.nfo",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E01 - 有关地狱的好消息.jpg",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E01 - 有关地狱的好消息.nfo",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E02 - 半循环.jpg",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E02 - 半循环.nfo",
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"人生切割术 (2022)/backdrop.jpg",
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"人生切割术 (2022)/fanart.jpg",
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"人生切割术 (2022)/poster.jpg",
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"人生切割术 (2022)/season01-poster.jpg",
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"人生切割术 (2022)/tvshow.nfo"
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]
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},
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"season_dir": {
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"target": "人生切割术 (2022)/Season 1",
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"ok": true,
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"written": [
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"人生切割术 (2022)/Season 1/poster.jpg",
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"人生切割术 (2022)/Season 1/season.nfo",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E01 - 有关地狱的好消息.jpg",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E01 - 有关地狱的好消息.nfo",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E02 - 半循环.jpg",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E02 - 半循环.nfo",
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"人生切割术 (2022)/season01-poster.jpg"
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]
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},
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"episode_file": {
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"target": "人生切割术 (2022)/Season 1/人生切割术 - S01E02 - 半循环.mkv",
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"ok": true,
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"written": [
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"人生切割术 (2022)/Season 1/人生切割术 - S01E02 - 半循环.jpg",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E02 - 半循环.nfo"
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]
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},
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"movie_dir": {
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"target": "星际穿越 (2014)",
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"ok": true,
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"written": [
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"星际穿越 (2014)/backdrop.jpg",
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"星际穿越 (2014)/fanart.jpg",
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"星际穿越 (2014)/poster.jpg",
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"星际穿越 (2014)/星际穿越 (2014) - 1080p.nfo"
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]
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},
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"movie_file": {
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"target": "星际穿越 (2014)/星际穿越 (2014) - 1080p.mkv",
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"ok": true,
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"written": [
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"星际穿越 (2014)/backdrop.jpg",
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"星际穿越 (2014)/fanart.jpg",
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"星际穿越 (2014)/poster.jpg",
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"星际穿越 (2014)/星际穿越 (2014) - 1080p.nfo"
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]
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},
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"movie_file_in_root": {
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"target": "Interstellar.2014.1080p.BluRay.mkv",
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"ok": true,
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"written": ["Interstellar.2014.1080p.BluRay.nfo", "backdrop.jpg", "fanart.jpg", "poster.jpg"]
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},
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"bluray_dir": {
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"target": "Heat (1995)",
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"ok": true,
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"written": [
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"Heat (1995)/Heat (1995).nfo",
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"Heat (1995)/backdrop.jpg",
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"Heat (1995)/fanart.jpg",
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"Heat (1995)/poster.jpg"
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]
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}
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}
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@@ -0,0 +1,174 @@
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import { mkdir, readdir, readFile, stat, writeFile } from "node:fs/promises";
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import { dirname, join, relative } from "node:path";
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import type { TmdbRichDetail, TmdbRichSeasonDetail } from "@umt/adapters";
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import type { ScrapeMatch } from "@umt/contracts";
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import { afterAll, beforeAll, describe, expect, it } from "vitest";
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import { queueScrape, runScrapeRecord } from "../../src/modules/acquisition-organize/services/scrape.ts";
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import { createFmHarness, type FmHarness, pgAvailable } from "../file-manager/harness.ts";
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// SCR-2 刮削文件布局差分:同一组目录结构,MP ScrapingChain.scrape_metadata(gen-scrape-layout-mp.py 生成
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// scrape-layout-mp.json)写哪些文件 ⇔ 我们就地刮削写哪些文件。偏离只允许下面 DEVIATIONS 里登记的几类
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// (理由见 docs/runbook/scrape.md「与 MP 的差分」)。
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const skip = !(await pgAvailable());
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const MP = JSON.parse(await readFile(new URL("./scrape-layout-mp.json", import.meta.url), "utf8")) as Record<
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string,
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{ target: string; ok: boolean; written: string[] }
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>;
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const SHOW = "人生切割术 (2022)";
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const EP1 = `${SHOW}/Season 1/人生切割术 - S01E01 - 有关地狱的好消息.mkv`;
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const EP2 = `${SHOW}/Season 1/人生切割术 - S01E02 - 半循环.mkv`;
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const MOVIE_FILE = "星际穿越 (2014)/星际穿越 (2014) - 1080p.mkv";
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const LOOSE = "Interstellar.2014.1080p.BluRay.mkv";
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const TREE = [EP1, EP2, MOVIE_FILE, LOOSE, "Heat (1995)/BDMV/index.bdmv"];
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/** 登记的偏离:把 MP 的输出换算成我们应有的输出 */
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const DEVIATIONS: { id: string; apply: (files: string[], scenario: string) => string[] }[] = [
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// 1. 不写 backdrop.jpg 副本,只写 fanart.jpg(Emby / Jellyfin / Kodi 都认 fanart)
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{ id: "no_backdrop_copy", apply: (fs) => fs.filter((f) => !/(^|\/)backdrop\.jpg$/.test(f)) },
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// 2. 剧照 <视频名>-thumb.jpg(Kodi 约定;MP 写 <视频名>.jpg)
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{
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id: "episode_thumb_suffix",
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apply: (fs) => fs.map((f) => (/ - S\d+E\d+ - [^/]+\.jpg$/.test(f) ? f.replace(/\.jpg$/, "-thumb.jpg") : f)),
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},
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// 3. 视频直接在登记目录根:图片写 <视频名>-poster.jpg / -fanart.jpg,不往根里放 poster.jpg(MP 会)
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{
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id: "root_movie_images",
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apply: (fs, s) =>
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s !== "movie_file_in_root"
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? fs
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: fs.map((f) => (f === "poster.jpg" || f === "fanart.jpg" ? `${LOOSE.replace(/\.mkv$/, "")}-${f}` : f)),
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},
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];
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const detail = (entityType: "movie" | "tv", externalId: string): TmdbRichDetail =>
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({
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entityType,
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externalId,
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title: "x",
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titleLanguage: "zh-CN",
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titleZh: "x",
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titleZhLanguage: "zh-CN",
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originalTitle: null,
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originalLanguage: "en",
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overview: null,
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overviewLanguage: null,
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tagline: null,
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year: 2022,
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releaseDate: null,
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lastAirDate: null,
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genres: [],
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voteAverage: null,
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voteCount: null,
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status: null,
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runtime: null,
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seasonCount: null,
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episodeCount: null,
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networks: [],
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originCountry: [],
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posterPath: "/poster.jpg",
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backdropPath: "/backdrop.jpg",
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cast: [],
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crew: [],
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externalIds: { imdb: null, tvdb: null, wikidata: null },
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translations: [],
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alternativeTitles: [],
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seasons: [],
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languages: ["zh-CN"],
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}) satisfies TmdbRichDetail;
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const season1: TmdbRichSeasonDetail = {
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tvId: "95396",
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seasonNumber: 1,
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name: null,
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nameLanguage: null,
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overview: null,
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||||
overviewLanguage: null,
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airDate: null,
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posterPath: "/season.jpg",
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fetchedLanguages: ["zh-CN"],
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episodes: [1, 2].map((n) => ({
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seasonNumber: 1,
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episodeNumber: n,
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name: null,
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nameLanguage: null,
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overview: null,
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overviewLanguage: null,
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airDate: null,
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runtime: null,
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stillPath: "/still.jpg",
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voteAverage: null,
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voteCount: null,
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})),
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};
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async function files(root: string): Promise<Set<string>> {
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const out = new Set<string>();
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const walk = async (d: string) => {
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for (const n of await readdir(d).catch(() => [])) {
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if (n.startsWith(".")) continue;
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const p = join(d, n);
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if ((await stat(p)).isDirectory()) await walk(p);
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else out.add(relative(root, p));
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}
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};
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await walk(root);
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return out;
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}
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describe.skipIf(skip)("刮削文件布局与 MP 差分", () => {
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let h: FmHarness;
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beforeAll(async () => {
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h = await createFmHarness(
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"scrlayout",
|
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{
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||||
ao: {
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scrapeImage: async () => ({ content: new Uint8Array([0xff, 0xd8, 0xff]), mime: "image/jpeg" }),
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scrapeTmdbDetail: async (type, id) => detail(type, id),
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scrapeTmdbSeason: async (_tv, n) => (n === 1 ? season1 : null),
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||||
},
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||||
},
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||||
{ runTransfers: false },
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||||
);
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||||
});
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||||
afterAll(async () => h?.close());
|
||||
|
||||
for (const [scenario, mp] of Object.entries(MP)) {
|
||||
it(`${scenario}:${mp.target}`, async () => {
|
||||
// 每个场景一份独立目录树;"视频直接在根"的场景用下载根(整个根就是这棵树)
|
||||
const inRoot = scenario === "movie_file_in_root";
|
||||
const base = inRoot ? h.dl : join(h.lib, scenario);
|
||||
for (const f of TREE) {
|
||||
await mkdir(dirname(join(base, f)), { recursive: true });
|
||||
await writeFile(join(base, f), "video");
|
||||
}
|
||||
const before = await files(base);
|
||||
const tv = mp.target.startsWith(SHOW);
|
||||
const match: ScrapeMatch = {
|
||||
mediaEntityId: null,
|
||||
provider: "tmdb",
|
||||
externalId: tv ? "95396" : "157336",
|
||||
kind: tv ? "tv" : "movie",
|
||||
title: "x",
|
||||
year: null,
|
||||
source: "chosen",
|
||||
};
|
||||
const q = await queueScrape(h.module.deps().ao, {
|
||||
...(inRoot
|
||||
? { rootId: h.dlRoot, rootPath: h.dl, libraryRootId: null }
|
||||
: { rootId: h.libRoot, rootPath: h.lib, libraryRootId: h.libraryRootId }),
|
||||
path: inRoot ? mp.target : `${scenario}/${mp.target}`,
|
||||
match,
|
||||
mode: "overwrite",
|
||||
trigger: "manual",
|
||||
});
|
||||
const rec = await runScrapeRecord(h.module.deps().ao, q.recordId);
|
||||
expect(rec.status).toBe("succeeded");
|
||||
const after = await files(base);
|
||||
const ours = [...after].filter((f) => !before.has(f)).sort();
|
||||
const expected = DEVIATIONS.reduce((fs, d) => d.apply(fs, scenario), [...mp.written]).sort();
|
||||
expect(ours).toEqual(expected);
|
||||
});
|
||||
}
|
||||
});
|
||||
Reference in new issue
Block a user