feat(server): scrapeMedia 刮削任务,入库后自动刮削(SCR-1)
- 文件道任务 scrapeMedia:NFO 原子写入、图片经图片缓存下载(并发 4,失败不阻塞 NFO)、只补缺失 / 全部覆盖
- 设置 organize.scrapeAfterImport / scrapeMode / scrapeImages / scrapeEpisodeThumbs
- POST /library/{id}/scrape、详情 scrape 状态;files/scrape writeNfo 与 scrape-batch write 走同一任务
- 迁移 0057_media_scrape、原因码、审计 organize.scrape
- 与 MP 输出的 NFO 差分测试(apps/server/test/scrape)
Co-Authored-By: Claude Opus 5.5 <[email protected]>
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"""SCR-1 刮削差分:用 MP 上游的 TmdbScraper(themoviedb/scraper.py)从同一份 TMDB 原始响应生成 NFO,写 scrape-mp.json。
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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-mp.py
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只记录行为输出,不复制 MP 源码。MediaInfo 用 MP 自己的 set_tmdb_info(TMDB 详情 → 统一字段),
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季 / 集直接喂 TMDB 季详情(与 MP get_metadata_nfo 取到的一致)。图片命名按 MP 代码行为登记在 nfo-mp-diff.test.ts。
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"""
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import json
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import pathlib
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from app.domain.context import MediaInfo
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from app.domain.projection.tmdb import configure_image_url_builder
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from app.modules.themoviedb.scraper import TmdbScraper
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HERE = pathlib.Path(__file__).parent
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raw = json.loads((HERE / "tmdb-raw.json").read_text(encoding="utf-8"))
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# 启动组合根里注入的 TMDB 图片地址(settings.TMDB_IMAGE_URL,原图)
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configure_image_url_builder(lambda p: f"https://image.tmdb.org/t/p/original/{p.removeprefix('/')}")
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s = TmdbScraper()
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def xml(doc) -> str:
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return doc.toprettyxml(indent=" ", encoding="utf-8").decode("utf-8")
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def media(info: dict, media_type: str) -> MediaInfo:
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mi = MediaInfo()
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mi.set_tmdb_info({**info, "media_type": media_type})
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return mi
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out = {}
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out["movie"] = xml(s._TmdbScraper__gen_movie_nfo_file(mediainfo=media(raw["/movie/157336"], "movie")))
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out["tvshow"] = xml(s._TmdbScraper__gen_tv_nfo_file(mediainfo=media(raw["/tv/95396"], "tv")))
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season = raw["/tv/95396/season/1"]
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out["season1"] = xml(s._TmdbScraper__gen_tv_season_nfo_file(seasoninfo=season, season=1))
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for ep in season["episodes"]:
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n = ep["episode_number"]
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out[f"s01e{n:02d}"] = xml(
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s._TmdbScraper__gen_tv_episode_nfo_file(tmdbid=95396, episodeinfo=ep, season=1, episode=n)
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)
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out["seasonPosterName"] = TmdbScraper.get_season_poster(season, 1)[0]
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out["seasonSpecialsPosterName"] = TmdbScraper.get_season_poster({"poster_path": "/x.jpg"}, 0)[0]
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(HERE / "scrape-mp.json").write_text(json.dumps(out, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
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print(f"写入 {len(out)} 项 → scrape-mp.json")
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{
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"_note": "SCR-1 NFO 与 MP 的已登记差异(按样例、按元素)。测试先去掉双方的空元素(MP 缺值写 <x/>、空 CDATA、评分 0,我们不写),再去掉这里登记的元素后逐行比较;登记的元素必须确实不同,差异消除后删掉登记。",
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"deviations": [
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{
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"case": "movie",
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"tag": "studio",
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"reason": "本地不存 TMDB production_companies,电影不写出品公司(Emby / Jellyfin 刷新时会自己补)"
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},
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{
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"case": "movie",
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"tag": "country",
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"reason": "制片国取 TMDB origin_country(代码转中文名);MP 取 production_countries(本例多一个英国)"
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},
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{
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"case": "movie",
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"tag": "tagline",
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"reason": "我们额外写标语,MP 不写"
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},
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{
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"case": "tvshow",
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"tag": "studio",
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"reason": "剧集写播出平台(TMDB networks,本例 Apple TV+);MP 写出品公司 production_companies"
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},
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{
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"case": "s01e01",
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"tag": "uniqueid",
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"reason": "本地不存 TMDB 集 id,集 NFO 不写 uniqueid,媒体服务器按季号集号匹配"
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},
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{
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"case": "s01e01",
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"tag": "tmdbid",
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"reason": "同上"
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},
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{
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"case": "s01e01",
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"tag": "runtime",
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"reason": "我们额外写集时长,MP 不写"
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},
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{
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"case": "s01e02",
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"tag": "uniqueid",
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"reason": "同 s01e01"
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},
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{
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"case": "s01e02",
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"tag": "tmdbid",
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"reason": "同 s01e01"
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},
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{
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"case": "s01e02",
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"tag": "runtime",
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"reason": "同 s01e01"
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}
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],
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"images": [
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{
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"role": "movie poster / fanart",
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"mp": "poster.jpg、backdrop.jpg、fanart.jpg(作品目录)",
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"ours": "poster.jpg、fanart.jpg",
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"reason": "backdrop.jpg 是 fanart.jpg 的副本,Emby / Jellyfin / Kodi 都认 fanart.jpg,不写重复文件"
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},
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{
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"role": "episode thumb",
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"mp": "<视频名>.jpg",
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"ours": "<视频名>-thumb.jpg",
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"reason": "Kodi 约定 -thumb 后缀;Jellyfin / Emby 同样识别,且不会和同名海报规则冲突"
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}
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]
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}
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import { readFileSync } from "node:fs";
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import { fetchRichDetail, fetchRichSeason } from "@umt/adapters";
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import { episodeNfo, planScrapeTargets, seasonNfo, seasonPosterName, workNfo } from "@umt/domain";
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import { describe, expect, it } from "vitest";
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import { nfoEpisode, nfoSeason, nfoWork } from "../../src/modules/acquisition-organize/services/scrape-input.ts";
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import { richEntityFields } from "../../src/modules/sources-identity/service/metadata-rich.ts";
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// SCR-1 NFO 差分:同一份 TMDB 原始响应(tmdb-raw.json),MP 走 set_tmdb_info + TmdbScraper(gen-scrape-mp.py → scrape-mp.json),
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// 我们走 fetchRichDetail / fetchRichSeason → 字段投影(metadata)→ scrape-input → domain NFO 生成器。
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// 双方去掉空元素后逐行比较,已登记的差异(nfo-deviations.json)按元素排除并要求确实不同。
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const read = (f: string) => JSON.parse(readFileSync(new URL(f, import.meta.url), "utf8"));
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const raw = read("./tmdb-raw.json") as Record<string, unknown>;
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const mp = read("./scrape-mp.json") as Record<string, string>;
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const devs = read("./nfo-deviations.json").deviations as { case: string; tag: string }[];
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const LANGS = ["zh-CN", "zh-SG", "zh-TW", "zh-HK", "en-US"];
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const client = {
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async getJson<T>(path: string): Promise<T> {
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const r = raw[path];
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if (!r) throw new Error(`fixture 缺 ${path}`);
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return structuredClone(r) as T;
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},
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};
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const final = (fields: Record<string, { value: unknown }>) =>
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Object.fromEntries(Object.entries(fields).map(([k, v]) => [k, { value: v.value }]));
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async function ours(): Promise<Record<string, string>> {
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const out: Record<string, string> = {};
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const movie = await fetchRichDetail(client, "movie", 157336, LANGS);
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out.movie = workNfo(
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nfoWork(
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{
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kind: "movie",
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title: movie.title,
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original_title: movie.originalTitle,
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year: movie.year,
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metadata: final(richEntityFields(movie) as never),
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},
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{ tmdb: "157336" },
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),
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);
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const tv = await fetchRichDetail(client, "tv", 95396, LANGS);
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out.tvshow = workNfo(
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nfoWork(
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{
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kind: "series",
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title: tv.title,
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original_title: tv.originalTitle,
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year: tv.year,
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metadata: final(richEntityFields(tv) as never),
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},
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{ tmdb: "95396" },
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),
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);
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const sd = await fetchRichSeason(client, 95396, 1, LANGS, { now: new Date("2026-01-01") });
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out.season1 = seasonNfo(
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nfoSeason(1, {
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season_number: 1,
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episode_number: null,
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title: sd.name,
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air_date: sd.airDate,
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metadata: { name: { value: sd.name }, overview: { value: sd.overview }, airDate: { value: sd.airDate } },
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}),
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);
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for (const e of sd.episodes) {
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out[`s01e${String(e.episodeNumber).padStart(2, "0")}`] = episodeNfo(
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nfoEpisode(1, e.episodeNumber, {
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season_number: 1,
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episode_number: e.episodeNumber,
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title: e.name,
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air_date: e.airDate,
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metadata: {
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name: { value: e.name },
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overview: { value: e.overview },
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airDate: { value: e.airDate },
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runtime: { value: e.runtime },
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voteAverage: { value: e.voteAverage },
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},
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}),
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);
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}
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return out;
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}
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/** 去空元素(MP 缺值写 <x/>、空 CDATA、评分 0) */
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const normalize = (xml: string) =>
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xml
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.split("\n")
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.filter((l) => l.trim() !== "")
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.filter((l) => !/^\s*<[\w]+(\s[^>]*)?\/>$/.test(l))
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.filter((l) => !/<!\[CDATA\[\]\]>/.test(l))
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.filter((l) => !/^\s*<rating>0<\/rating>$/.test(l));
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const tagOf = (l: string) => /^ {2}<(\w+)/.exec(l)?.[1] ?? null;
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describe("NFO 与 MP 差分", async () => {
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const mine = await ours();
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const cases = ["movie", "tvshow", "season1", "s01e01", "s01e02"];
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it.each(cases)("%s:结构与取值一致(已登记差异除外)", (c) => {
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const skip = new Set(devs.filter((d) => d.case === c).map((d) => d.tag));
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const a = normalize(mp[c]!).filter((l) => !skip.has(tagOf(l) ?? ""));
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const b = normalize(mine[c]!).filter((l) => !skip.has(tagOf(l) ?? ""));
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expect(b).toEqual(a);
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for (const tag of skip) {
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const ma = normalize(mp[c]!).filter((l) => tagOf(l) === tag);
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const mb = normalize(mine[c]!).filter((l) => tagOf(l) === tag);
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expect(mb, `登记的差异 ${c}.${tag} 已消失,删掉登记`).not.toEqual(ma);
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}
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});
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it("编码与声明:UTF-8、两空格缩进、末尾换行,和 MP 一致", () => {
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for (const c of cases) {
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expect(mine[c]!.split("\n")[0]).toBe(mp[c]!.split("\n")[0]);
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expect(mine[c]!.endsWith("\n")).toBe(true);
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}
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});
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it("季海报命名与 MP get_season_poster 一致", () => {
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expect(seasonPosterName(1)).toBe(mp.seasonPosterName);
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expect(seasonPosterName(0)).toBe(mp.seasonSpecialsPosterName);
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});
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it("文件命名:对照 MP scraping.py 的目标路径(差异见 nfo-deviations.json images)", () => {
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const t = planScrapeTargets({
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kind: "tv",
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workDir: "人生切割术 (2022)",
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videos: [{ path: "人生切割术 (2022)/Season 1/人生切割术 - S01E01 - 第 1 集.mkv", season: 1, episode: 1 }],
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images: {
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posterPath: "/p.jpg",
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backdropPath: "/b.jpg",
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seasonPosters: new Map([[1, "/s.jpg"]]),
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stills: new Map([["1:1", "/e.jpg"]]),
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},
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options: { images: true, episodeThumbs: true },
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});
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// MP:tvshow.nfo(TV)、season.nfo(SEASON)、<stem>.nfo(EPISODE);季海报根目录 seasonXX-poster + 季目录 poster
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expect(t.map((x) => x.path)).toEqual([
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"人生切割术 (2022)/tvshow.nfo",
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"人生切割术 (2022)/poster.jpg",
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"人生切割术 (2022)/fanart.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)/season01-poster.jpg",
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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/人生切割术 - S01E01 - 第 1 集.nfo",
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"人生切割术 (2022)/Season 1/人生切割术 - S01E01 - 第 1 集-thumb.jpg",
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]);
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});
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});
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{
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"movie": "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n<movie>\n <tmdbid>157336</tmdbid>\n <uniqueid type=\"tmdb\" default=\"false\">157336</uniqueid>\n <imdbid>tt0816692</imdbid>\n <uniqueid type=\"imdb\" default=\"true\">tt0816692</uniqueid>\n <plot><![CDATA[在不远的未来，随着地球自然环境的恶化，人类面临着无法生存的威胁。一群宇航员穿越虫洞，为人类寻找新家园。]]></plot>\n <outline><![CDATA[在不远的未来，随着地球自然环境的恶化，人类面临着无法生存的威胁。一群宇航员穿越虫洞，为人类寻找新家园。]]></outline>\n <director tmdbid=\"525\">克里斯托弗·诺兰</director>\n <actor>\n <name>马修·麦康纳</name>\n <type>Actor</type>\n <role>Cooper</role>\n <tmdbid>10297</tmdbid>\n <thumb>https://image.tmdb.org/t/p/original/lCySuYjhXix3FzQdS4oceDDrXKI.jpg</thumb>\n <profile>https://www.themoviedb.org/person/10297</profile>\n </actor>\n <actor>\n <name>安妮·海瑟薇</name>\n <type>Actor</type>\n <role>Brand</role>\n <tmdbid>1813</tmdbid>\n <thumb>https://image.tmdb.org/t/p/original/s6tflSD20MGz04ZR2R1lZvhmC4Y.jpg</thumb>\n <profile>https://www.themoviedb.org/person/1813</profile>\n </actor>\n <actor>\n <name>杰西卡·查斯坦</name>\n <type>Actor</type>\n <role>Murph</role>\n <tmdbid>83002</tmdbid>\n <profile>https://www.themoviedb.org/person/83002</profile>\n </actor>\n <genre>冒险</genre>\n <genre>剧情</genre>\n <genre>科幻</genre>\n <rating>8.5</rating>\n <studio>Legendary Pictures</studio>\n <country>英国</country>\n <country>美国</country>\n <runtime>169</runtime>\n <title>星际穿越</title>\n <originaltitle>Interstellar</originaltitle>\n <premiered>2014-11-05</premiered>\n <year>2014</year>\n</movie>\n",
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"tvshow": "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n<tvshow>\n <tmdbid>95396</tmdbid>\n <uniqueid type=\"tmdb\" default=\"false\">95396</uniqueid>\n <tvdbid>371980</tvdbid>\n <uniqueid type=\"tvdb\">371980</uniqueid>\n <imdbid>tt11280740</imdbid>\n <uniqueid type=\"imdb\" default=\"true\">tt11280740</uniqueid>\n <plot><![CDATA[马克领导着一个办公室团队，他们的记忆被手术分割，工作与生活从此一分为二。]]></plot>\n <outline><![CDATA[马克领导着一个办公室团队，他们的记忆被手术分割，工作与生活从此一分为二。]]></outline>\n <actor>\n <name>亚当·斯科特</name>\n <type>Actor</type>\n <role>Mark Scout</role>\n <tmdbid>4495</tmdbid>\n <thumb>https://image.tmdb.org/t/p/original/9ynbGSZ7O7stcCYx1ElmFhUgCKj.jpg</thumb>\n <profile>https://www.themoviedb.org/person/4495</profile>\n </actor>\n <actor>\n <name>布丽特·洛薇尔</name>\n <type>Actor</type>\n <role>Helly R.</role>\n <tmdbid>1319469</tmdbid>\n <profile>https://www.themoviedb.org/person/1319469</profile>\n </actor>\n <genre>剧情</genre>\n <genre>悬疑</genre>\n <genre>Sci-Fi & Fantasy</genre>\n <rating>8.4</rating>\n <studio>Red Hour Productions</studio>\n <country>美国</country>\n <title>人生切割术</title>\n <originaltitle>Severance</originaltitle>\n <premiered>2022-02-17</premiered>\n <year>2022</year>\n <season>-1</season>\n <episode>-1</episode>\n</tvshow>\n",
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"season1": "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n<season>\n <plot><![CDATA[在卢蒙工业公司，员工们接受了一种名为“分割”的手术 & 工作记忆与生活记忆被彻底隔开。]]></plot>\n <outline><![CDATA[在卢蒙工业公司，员工们接受了一种名为“分割”的手术 & 工作记忆与生活记忆被彻底隔开。]]></outline>\n <title>第 1 季</title>\n <premiered>2022-02-17</premiered>\n <releasedate>2022-02-17</releasedate>\n <year>2022</year>\n <seasonnumber>1</seasonnumber>\n</season>\n",
|
||||
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||||
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||||
}
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||||
@@ -0,0 +1,215 @@
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||||
{
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"translations": {
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||||
"translations": [
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{
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"overview": "",
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"translations": [
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{
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}
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},
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{
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},
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"id": 186498,
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"season_number": 1,
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"name": "第 1 季",
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"overview": "在卢蒙工业公司，员工们接受了一种名为“分割”的手术 & 工作记忆与生活记忆被彻底隔开。",
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{
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"season_number": 1,
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"overview": "马克升职成为宏观数据精炼部的主管，并迎来一位新员工。",
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{
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"name": "半循环",
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"overview": "马克带海莉参观办公室。",
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"air_date": "2022-02-18",
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"runtime": 53,
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}
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]
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}
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}
|
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Reference in new issue
Block a user