From 658cd4a9be55d916657022ea2a22e2f42c9f2ed3 Mon Sep 17 00:00:00 2001 From: jxxghp Date: Wed, 9 Sep 2026 15:52:16 +0800 Subject: [PATCH] fix(music): preserve track identity and normalize resource metadata --- app/chain/scraping.py | 4 +- app/domain/meta/metamusic.py | 13 +- app/domain/music.py | 30 +- docs/music-lifecycle-audit.md | 87 + scripts/music_recognize_batch_test.py | 142 +- tests/fixtures/music_lifecycle_recording.json | 1812 +++++++++++++++++ tests/test_music_lifecycle_audit.py | 170 ++ tests/test_music_scrape.py | 6 +- 8 files changed, 2182 insertions(+), 82 deletions(-) create mode 100644 docs/music-lifecycle-audit.md create mode 100644 tests/fixtures/music_lifecycle_recording.json create mode 100644 tests/test_music_lifecycle_audit.py diff --git a/app/chain/scraping.py b/app/chain/scraping.py index 324248af0..739690699 100644 --- a/app/chain/scraping.py +++ b/app/chain/scraping.py @@ -1467,8 +1467,8 @@ class ScrapingChain(ChainBase, ConfigReloadMixin, metaclass=Singleton): merged.album_artist = album.album_artist or album.artist or local_meta.album_artist merged.year = album.year or local_meta.year merged.total_tracks = album.total_tracks or local_meta.total_tracks - merged.media_source = album.media_source or local_meta.media_source - merged.media_id = album.media_id or local_meta.media_id + # MetaMusic 的身份代表音轨；保留已有单曲 ID，不能用专辑 ID 补位， + # 否则会误写 musicbrainz_trackid，使下次拿 release-group 查询 recording。 return merged @classmethod diff --git a/app/domain/meta/metamusic.py b/app/domain/meta/metamusic.py index e699bd3f1..e2d0e333a 100644 --- a/app/domain/meta/metamusic.py +++ b/app/domain/meta/metamusic.py @@ -280,6 +280,14 @@ _MUSIC_PAREN_SPEC_RE = re.compile( _MUSIC_EMPTY_BRACKET_RE = re.compile(r"[\(（\[]\s*(?:[/+,\-]\s*)*[\)）\]]") # 尾部花括号通常是唱片目录号或发布标记，仅在末尾剔除，保护正文中的花括号文本。 _MUSIC_TRAILING_CATALOG_RE = re.compile(r"\s*\{[A-Za-z0-9][^{}]{0,40}\}\s*$") +# 标准抓轨发布尾链有介质、音频格式和厂牌目录三重证据；不删除正文中的 CD 或花括号。 +_MUSIC_RESOURCE_CATALOG_TAIL_RE = re.compile( + rf"(?<=[)）])\s+-\s+(?:CD|SACD|WEB)\s+-\s+\[[^\]\r\n]*" + rf"(?:{_MUSIC_FORMAT_TOKEN_ALT})[^\]\r\n]*\]" + r"(?:\s+-\s+\d+(?:\.\d+)?\s*(?:bits?|kHz|Hz))*" + r"\s+-\s+\{[^{}\r\n]+\}(?:\s+-\s+[A-Za-z0-9][A-Za-z0-9@._-]*)?\s*$", + re.IGNORECASE, +) # 年份及完整发行日期括号提供候选消歧线索，规格或目录号不作为日期。 _MUSIC_YEAR_RE = re.compile( r"[\(\[（【]((?:19|20)\d{2})" @@ -742,7 +750,10 @@ class MetaMusic(MetaBase): 标题解析仍复用 Python/Rust 公共入口；副标题只补缺失字段，保留标题中 已有的署名。专辑、曲序、曲名的明确多段格式在资源层统一补充。 """ - meta = cls.parse_query(title) + meta = cls.parse_query(_MUSIC_RESOURCE_CATALOG_TAIL_RE.sub("", title)) + meta.org_string = title + meta.apply_audio_quality(title) + subtitle = (subtitle or "").replace("丨", "|") if not meta.title: # 整个作品名位于中文展示括号内时，旧解析器可能把它误当发布标签删除。 bracket = re.match(r"^\s*[【《「]([^】》」]+)[】》」]", title) diff --git a/app/domain/music.py b/app/domain/music.py index 3c827d0aa..1809f6bdd 100644 --- a/app/domain/music.py +++ b/app/domain/music.py @@ -33,6 +33,14 @@ _BARE_VERSION_SUFFIX = re.compile( r"现场|現場|混音|伴奏|不插电|不插電).*$", re.IGNORECASE, ) _TITLE_LABEL = re.compile(r"^(?:专辑(?:名|名称)?|專輯(?:名|名稱)?|曲名|歌曲|album|title)\s*[:：]\s*", re.I) +_TITLE_CREDIT = re.compile( + r"\s*[（(]\s*(?:feat(?:uring)?\.?\s+[^()（）]+|" + r"(?:电视剧|電視劇|电影|電影|影视剧|影視劇|动画|動畫)?\s*《[^《》]+》" + r"\s*(?:电视剧|電視劇|电影|電影|影视剧|影視劇|动画|動畫)?" + r"\s*(?:[“「][^”」]+[”」])?\s*(?:主题曲|主題曲|片头曲|片頭曲|片尾曲|插曲))\s*[）)]", + re.IGNORECASE, +) +_FEATURED_CREDIT = re.compile(r"[（(]\s*feat(?:uring)?\.?\s+([^()（）]+)[）)]", re.IGNORECASE) _COLLECTIVE_ARTISTS = ("Various Artists", "Various", "VA", "群星", "众艺人", "眾藝人") _VERSION_YEAR = re.compile(r"(? boo def music_base_title(value: Optional[str], *, preserve_editions: bool = False) -> str: - """剥离已知版本后缀；数据源可保留发行版标签，不改变未知括号中的作品名。""" - text = str(value or "") + """剥离明确署名、影视用途和版本注释，保留未知括号中的作品名。""" + text = _TITLE_CREDIT.sub("", str(value or "")) if not preserve_editions: text = _EDITION.sub("", text) @@ -219,8 +227,26 @@ def _version_dates(title: Optional[str], version: Optional[str]) -> tuple[set[in return years, dates +def _resource_credits_match(music: MusicInfo, meta: MetaMusic) -> bool: + """资源显式客串署名必须得到目标艺术家或同一署名注释确认，不能把合作版匹配为独唱。""" + credits = { + music_text_key(artist) + for value in _FEATURED_CREDIT.findall(meta.title or "") + for artist in MetaMusic._split_artists(value) + } + confirmed = {music_text_key(artist) for artist in music_artists(music)} + confirmed.update( + music_text_key(artist) + for value in _FEATURED_CREDIT.findall(music.title or "") + for artist in MetaMusic._split_artists(value) + ) + return credits <= confirmed + + def music_version_matches(music: MusicInfo, meta: MetaMusic) -> bool: """资源匹配与候选确认共用录音版本约束，不从艺术家字段推断版本。""" + if not _resource_credits_match(music, meta): + return False target_title = music.album or music.title if music.music_type == MUSIC_ENTITY_ALBUM else music.title # 专辑类型描述整专版本，但单曲的所属专辑类型不能代替该录音自身的版本。 album_versions = " ".join(music.secondary_types or []) if music.music_type == MUSIC_ENTITY_ALBUM else "" diff --git a/docs/music-lifecycle-audit.md b/docs/music-lifecycle-audit.md new file mode 100644 index 000000000..8b1cc9e60 --- /dev/null +++ b/docs/music-lifecycle-audit.md @@ -0,0 +1,87 @@ +# 音乐全流程审计（2026-09-09） + +## 结论 + +普通分轨专辑和独立单曲已接入通用搜索、订阅、下载、整理、刮削及媒体库刷新流程。 +这不等于任意音乐资源都可以无人值守处理：整轨音频加 CUE、SACD ISO、多专辑全集、 +演唱会视频，以及上游没有收录或缺少可靠署名的资源，仍有明确边界。 + +本轮基于后端 `ca01cceed13ff0060de22b733eb0fef08003e840` 和前端 `e5de69f4` 审查。 +没有向真实下载器添加任务，也没有修改生产数据库或媒体库。实站请求只获取音乐列表； +识别请求使用公共 MusicBrainz 接口，单元测试全部使用隔离数据。 + +## 链路与边界 + +| 阶段 | 当前行为 | 需要保留的约束 | +| --- | --- | --- | +| 元数据搜索 | 前端专辑、单曲入口和 `useMediaSubscribe` 传递统一来源、ID、实体类型 | Recording 和 Release Group 不能互换；艺术家不能直接订阅 | +| 站点搜索 | `SearchMusicOwner` 生成标题、艺人及可信别名关键词；`match_music_resource` 核对名称、署名、分类和版本 | 缺艺术家、不同版本、关联专辑只能作为候选；单曲在专辑中的存在不是独立单曲资源 | +| 订阅 | 主动搜索与 RSS 均保留目标身份、暂停/取消状态和音质规则 | 专辑需有总曲目数；远端暂不可用时恢复已保存的订阅快照 | +| 下载 | 下载前解析种子文件清单，按盘号/曲序或曲名去重；专辑达到预期数量后才标记覆盖 | 这是文件清单层的覆盖确认，不是逐曲声纹验证；没有文件清单或曲目数未知不能确认整专 | +| 完成判定 | 专辑订阅消费下载层的 `confirmed_full_coverage`，单曲按成功添加下载任务处理 | “订阅完成”代表已提交符合条件的下载，不代表下载完成、整理成功和媒体库刷新完成 | +| 整理 | 恢复下载历史中的音乐上下文，保留逐曲标签/文件名；本地目录可按曲序、曲名、时长匹配发行版 | 路径不可读时不能假定读到了标签；不能把整张专辑的标题和单曲 ID 复制给每个文件 | +| 文件识别 | 指纹、标签、文件名分层识别，目录级匹配作为补充 | 需要可读取的音频、可用的指纹工具/服务及上游条目；失败时的本地展示对象不是远端识别成功 | +| 刮削 | 各文件独立处理标签、封面和歌词，沿用统一存储与事件流程 | 单曲 ID 不适用于整目录；歌词缺失或请求预算耗尽不代表音频整理失败 | + +整轨+CUE 不会被自动拆成多首独立音轨；ISO 不属于普通可写标签音频。 +多专辑合集无法仅凭种子主标题绑定成一个正确专辑，曲目数量也不能证明每首音频内容正确。 +经典音乐的作曲家与演奏者署名、非官方译名、拼音全集命名需要额外可靠证据，不能靠放宽 +艺术家/版本匹配来制造命中。 + +## 本轮修复 + +1. 专辑刮削合并曾将 Release Group ID 放入 `MetaMusic.media_id`，标签写入随后把它当作 + `musicbrainz_trackid`。现在只保留文件自身的单曲身份，缺失时不以专辑 ID 补位。 + 验证覆盖“原本没有单曲 ID”和“已有有效单曲 ID”，并用真实 FLAC 完成写入、刮削、重读。 +2. 明确的客串署名和影视主题曲/插曲注释不再阻断同一作品匹配。客串必须由候选署名确认； + Live、Remix、未知括号副标题和错误艺术家仍然被拒绝。 +3. 标准 `CD - [WAV整轨+CUE] - 位深 - 采样率 - {厂牌目录} - 发布者` 尾链不再污染 + 专辑名；保留原始资源标题、年份和音质。副标题中的 `丨` 与普通竖线统一处理，避免把厂牌误识别为艺人。 +4. 更新批量工具：保留主副标题，复用生产模块入口，移除已失效的私有参数；没有远端 ID 的 + 展示兜底不计命中。凭据按生产库注册域规则查询，避免 `pt.` 子域导致假报缺少 Cookie。 + 采样与识别可单独执行，运行配置隔离，分页失败保留已采数据。 + +## 可复用采样方式 + +在仓库虚拟环境中执行。数据库通过 SQLite 只读 URI 打开，Cookie 不写入报告。 +默认数据库是本机 `~/Documents/moviepilot/user.db`，站点规则来自同工作区的 +`MoviePilot-Build/sites/private`。可通过环境变量 `PROXY_HOST` 提供必要的访问代理。 + +```bash +.venv/bin/python scripts/music_recognize_batch_test.py --fetch-only --pages 1 +.venv/bin/python scripts/music_recognize_batch_test.py --limit 30 --music-type album +.venv/bin/python scripts/music_recognize_batch_test.py --limit 30 --music-type recording +``` + +TSV 样本和 CSV 报告保存在 `config/temp/`，兼容旧版纯标题和两列 TSV。 +复用资源列表只免去再次访问站点，识别仍会请求 MusicBrainz；这不是离线测试命令。 +不指定实体时的“命中”只是模块返回远端候选，需额外检查实体、艺人和版本，不能作为准确率。 + +本次本地采样、公共响应录制、前后回放及完整检查日志保存在工作区 +`.artifacts/music-audit-20260909/`。这些原始实站数据和运行状态不作为产品源码提交。 + +## 已确认的实站结果 + +只读采样得到 7 个站点的 206 条资源，保留主副标题。对全部样本运行修改前后的 +离线解析：修正 `Jay` 的抓轨尾链，以及 `Duo Improbabile` 资源中被误作艺人的厂牌字段； +其余 204 条的名称、艺人、专辑、年份和格式字段未改变。这不是 206 条全部识别正确的声明。 + +`李佳薇 - 碧苍 (电视剧《与凤行》“碧海苍穹”主题曲)` 的真实 MusicBrainz 响应已保存为 +`tests/fixtures/music_lifecycle_recording.json`。相同响应在基线的单曲模式无命中，修复后同步和 +异步入口都命中 Recording `b64cad55-4c77-49cc-964a-fc3aaee5fa15`，无需回退到同名专辑。 +该回归严格重放已录制请求，不访问外部服务。 + +元数据对照选择 29 条跨站点音频资源。MusicBrainz 连续返回 503 后停止新增请求，按同一份 +公共响应记录离线回放，只有 16 条具备修改前后所需的完整响应。两版均有 10/16 条返回 +远端候选，**本轮没有证明总体命中率上升**；已证明的是一条单曲身份纠正及两条解析字段修正。 +其余 13 条包含网络失败、中断后尚未查询和修复后需要新查询的样本，统一标为不可评估， +没有计作识别失败或成功。复杂古典署名、英文译名括号、无分隔拼音全集等仍有未解决样本。 + +检查包括后端全量测试、音乐专项回归、前端 5 个音乐相关测试文件（87 项）、架构策略和 +宿主快照、类型检查、复杂度、并发/异步/任务所有权/服务定位器/Ruff/Mypy 门禁，以及启动性能。 +复杂度检查曾因刮削类注释净增一行触及既有上限而失败，已调整注释后通过，没有修改任何基线。 +两个生成的真实 FLAC 文件已完成标签写入、专辑刮削和重新读取验证。 + +后端全量检查为 **9012 通过、9 跳过**；追加实站录制与双引擎回归后的音乐专项检查为 +**822 通过**，其中本轮新增回归 20 项。前端为 **87 通过**，架构策略为 **165 通过**， +变更 Python 文件 Pylint 为 **10/10**，其余适用门禁通过。 diff --git a/scripts/music_recognize_batch_test.py b/scripts/music_recognize_batch_test.py index 802e987ad..df05e6dbe 100644 --- a/scripts/music_recognize_batch_test.py +++ b/scripts/music_recognize_batch_test.py @@ -3,8 +3,8 @@ 用途： 1. fetch - 用生产数据库中的站点 Cookie 抓取多个站点音乐分区种子标题 -2. test - 对标题批量执行音乐识别链路（与识别测试页相同），输出 CSV 报告与命中率汇总 -3. 抓取结果落盘后可离线重跑 test，用于优化识别程序前后对比 +2. test - 复用生产 MusicBrainz 识别入口，输出 CSV 报告与候选命中率汇总 +3. 抓取结果落盘后可复用资源数据重测；识别仍会访问 MusicBrainz 约束： - 生产库仅以只读 URI 模式打开，不做任何写入 @@ -19,18 +19,21 @@ import argparse import csv +import os import sqlite3 import sys from pathlib import Path +from urllib.parse import urlsplit import yaml # 保证从仓库根目录外执行时也能导入 app 包 ROOT = Path(__file__).resolve().parents[1] -sys.path.insert(0, str(ROOT)) +if str(ROOT) not in sys.path: + sys.path.insert(0, str(ROOT)) # 生产数据库（site 表中的站点 Cookie）与站点索引配置源文件目录 -DB_PATH = Path.home() / "Documents" / "MoviePilot" / "user.db" +DB_PATH = Path.home() / "Documents" / "moviepilot" / "user.db" INDEXER_DIR = Path.home() / "MPProjects" / "MoviePilot-Build" / "sites" / "private" TITLES_FILE = ROOT / "config" / "temp" / "music_batch_titles.txt" @@ -62,6 +65,8 @@ SITES = [ def load_site_credentials(domains: list[str]) -> dict[str, dict]: """只读打开生产库，按域名批量取出站点 Cookie 与 UA。""" + from app.domain.site import extract_domain + if not DB_PATH.exists(): sys.exit(f"生产数据库不存在：{DB_PATH}") credentials: dict[str, dict] = {} @@ -69,10 +74,10 @@ def load_site_credentials(domains: list[str]) -> dict[str, dict]: try: for domain in domains: row = con.execute( - "SELECT cookie, ua FROM site WHERE domain = ?", (domain,) + "SELECT cookie, ua, proxy FROM site WHERE domain = ?", (extract_domain(domain),) ).fetchone() if row and row[0]: - credentials[domain] = {"cookie": row[0], "ua": row[1] or None} + credentials[domain] = {"cookie": row[0], "ua": row[1] or None, "proxy": bool(row[2])} finally: con.close() return credentials @@ -87,25 +92,26 @@ def build_indexer(site: dict, credential: dict) -> dict: with open(INDEXER_DIR / site["yml"], "r", encoding="utf-8") as f: indexer = yaml.safe_load(f) indexer["cookie"] = credential["cookie"] + indexer["proxy"] = credential["proxy"] if credential["ua"]: indexer["ua"] = credential["ua"] indexer["browse"] = {"path": site["browse"]} return indexer -def fetch_site_titles(site: dict, indexer: dict, max_pages: int) -> list[str]: +def fetch_site_titles(site: dict, indexer: dict, max_pages: int) -> list[tuple[str, str]]: """翻页抓取单个站点音乐分区种子标题，按标题去重并保留出现顺序。""" from app.modules.indexer.spider import SiteSpider from app.schemas.types import MediaType - titles: list[str] = [] + titles: list[tuple[str, str]] = [] seen: set[str] = set() for page in range(max_pages): spider = SiteSpider(indexer=indexer, mtype=MediaType.MUSIC, page=page) torrents = spider.get_torrents() if spider.is_error: - print(f" [{site['name']}] 第 {page} 页请求失败（Cookie 可能失效或站点不可达），跳过该站点") - return [] + print(f" [{site['name']}] 第 {page} 页请求失败，保留已有样本并停止翻页") + break if not torrents: break for torrent in torrents: @@ -113,15 +119,15 @@ def fetch_site_titles(site: dict, indexer: dict, max_pages: int) -> list[str]: if not title or title in seen: continue seen.add(title) - titles.append(title) + titles.append((title, torrent.get("description") or "")) if len(titles) >= site["limit"]: break print(f" [{site['name']}] 获取 {len(titles)} 条") return titles[:site["limit"]] -def fetch_titles(site_keys: list[str], max_pages: int) -> list[tuple[str, str]]: - """按配置抓取多个站点音乐分区标题，返回 (站点名, 标题) 列表。""" +def fetch_titles(site_keys: list[str], max_pages: int) -> list[tuple[str, str, str]]: + """按配置抓取多个站点音乐分区标题，返回 (站点名, 标题, 副标题) 列表。""" sites = [site for site in SITES if not site_keys or site["key"] in site_keys] unknown = set(site_keys) - {site["key"] for site in sites} if unknown: @@ -129,84 +135,66 @@ def fetch_titles(site_keys: list[str], max_pages: int) -> list[tuple[str, str]]: domains = [] for site in sites: with open(INDEXER_DIR / site["yml"], "r", encoding="utf-8") as f: - domain = (yaml.safe_load(f).get("domain") or "").replace("https://", "").replace("http://", "").rstrip("/") + domain = urlsplit(yaml.safe_load(f).get("domain") or "").hostname or "" site["domain"] = domain domains.append(domain) credentials = load_site_credentials(domains) - results: list[tuple[str, str]] = [] + results: list[tuple[str, str, str]] = [] for site in sites: credential = credentials.get(site["domain"]) if not credential: print(f" [{site['name']}] 未配置 Cookie，跳过") continue indexer = build_indexer(site, credential) - for title in fetch_site_titles(site, indexer, max_pages): - results.append((site["name"], title)) + for title, description in fetch_site_titles(site, indexer, max_pages): + results.append((site["name"], title, description)) return results -def recognize_one(module, title: str) -> dict: - """对单条标题执行与识别测试页相同的解析+识别链路，并给出失败归因。""" +def recognize_one(module, title: str, description: str = "", music_type: str | None = None) -> dict: + """复用生产模块的完整识别入口；没有远端 ID 的展示兜底不能计为命中。""" from app.domain.meta.metamusic import MetaMusic + from app.schemas.types import MediaSource, MediaType - row = {"title": title} + row = {"title": title, "description": description, "requested_music_type": music_type or ""} try: - meta = MetaMusic.parse_query(title) + meta = MetaMusic.parse_resource(title, description) row.update({ "parsed_title": meta.title, "parsed_artists": " / ".join(meta.artists or []), + "parsed_album": meta.album or "", "parsed_format": meta.audio_format or "", }) - # 拆开检索与候选挑选两步，便于区分零命中与比对失配 - candidates = module._search_recordings(meta, limit=10) - matched = module._select_candidate(meta, candidates, source="musicbrainz") - hit_label = "命中" - albums: list = [] - # 与正式链路一致：专辑挑选要求艺术家命中，无艺术家线索时跳过专辑回退检索 - if not matched and meta.artists: - albums = module._search_albums(meta, limit=10) - matched = module._select_album_candidate(meta, albums) - hit_label = "命中(专辑)" - if matched: + matched = module.recognize_media( + meta=meta, mtype=MediaType.MUSIC, + media_source=MediaSource.MusicBrainz, music_type=music_type, cache=False, + ) + if matched and matched.media_id: row.update({ - "status": hit_label, + "status": "命中", "matched_title": matched.title, "matched_artists": " / ".join(matched.artists or []), "matched_album": matched.album or "", "matched_year": matched.year or "", + "matched_music_type": matched.music_type, "media_id": matched.media_id, }) - elif candidates: - # 有候选但全部比对失配，列出最接近的候选方便归因 - top = candidates[0] - row.update({ - "status": "候选比对失配", - "matched_title": f"{top.title} | {' / '.join(top.artists or [])}", - }) - elif albums: - row.update({ - "status": "专辑候选失配", - "matched_title": f"{albums[0].title} | {' / '.join(albums[0].artists or [])}", - }) - elif not meta.title: - row.update({"status": "解析失败"}) else: - row.update({"status": "检索零命中"}) - except Exception as err: # pylint: disable=broad-except - row.update({"status": "异常", "matched_title": str(err)[:200]}) + row["status"] = "未命中" if meta.title else "解析失败" + except Exception as err: # pylint: disable=broad-exception-caught + row.update({"status": "异常", "matched_title": type(err).__name__}) return row -def run_batch(entries: list[tuple[str, str]]) -> list[dict]: +def run_batch(entries: list[tuple[str, str, str]], music_type: str | None = None) -> list[dict]: """批量执行识别并写出 CSV 报告，打印命中率汇总。""" from app.modules.musicbrainz import MusicBrainzModule module = MusicBrainzModule() - module.init_module() rows = [] - for index, (site_name, title) in enumerate(entries, 1): - row = recognize_one(module, title) + for index, (site_name, title, description) in enumerate(entries, 1): + row = recognize_one(module, title, description, music_type) row["site"] = site_name rows.append(row) if index % 20 == 0 or index == len(entries): @@ -214,8 +202,9 @@ def run_batch(entries: list[tuple[str, str]]) -> list[dict]: REPORT_FILE.parent.mkdir(parents=True, exist_ok=True) fieldnames = [ - "site", "title", "status", "parsed_title", "parsed_artists", "parsed_format", - "matched_title", "matched_artists", "matched_album", "matched_year", "media_id", + "site", "title", "description", "requested_music_type", "status", + "parsed_title", "parsed_artists", "parsed_album", "parsed_format", + "matched_title", "matched_artists", "matched_album", "matched_year", "matched_music_type", "media_id", ] with open(REPORT_FILE, "w", newline="", encoding="utf-8-sig") as f: writer = csv.DictWriter(f, fieldnames=fieldnames, extrasaction="ignore") @@ -239,44 +228,49 @@ def run_batch(entries: list[tuple[str, str]]) -> list[dict]: return rows -def read_titles_file() -> list[tuple[str, str]]: - """读取落盘标题，兼容旧版纯标题格式（无站点前缀记为「憨憨」）。""" - entries: list[tuple[str, str]] = [] - for line in TITLES_FILE.read_text(encoding="utf-8").splitlines(): - line = line.strip() - if not line: - continue - if "\t" in line: - site_name, title = line.split("\t", 1) - else: - site_name, title = "憨憨", line - entries.append((site_name, title)) +def read_titles_file() -> list[tuple[str, str, str]]: + """读取 TSV 主副标题，兼容历史二列 TSV 和纯标题文件。""" + entries: list[tuple[str, str, str]] = [] + with TITLES_FILE.open(encoding="utf-8", newline="") as stream: + for fields in csv.reader(stream, delimiter="\t"): + if not fields or not any(fields): + continue + if len(fields) == 1: + entries.append(("憨憨", fields[0], "")) + else: + entries.append((fields[0], fields[1], fields[2] if len(fields) > 2 else "")) return entries def main() -> None: + """在独立配置目录执行采样或重测，禁止识别缓存写入生产配置。""" parser = argparse.ArgumentParser(description="多站点音乐种子批量识别测试") parser.add_argument("--fetch", action="store_true", help="重新抓取种子标题（默认复用已保存列表）") parser.add_argument("--sites", default="", help="指定站点 key 逗号分隔，缺省抓取全部配置站点") parser.add_argument("--pages", type=int, default=3, help="每站最大翻页数") + parser.add_argument("--fetch-only", action="store_true", help="只采样，不请求音乐元数据") + parser.add_argument("--limit", type=int, default=0, help="最多识别多少条，0 表示全部") + parser.add_argument("--music-type", choices=("recording", "album"), help="限定单曲或专辑，避免混合命中掩盖实体错误") args = parser.parse_args() + if args.pages < 1 or args.limit < 0: + parser.error("pages 必须大于 0，limit 不能小于 0") + os.environ["CONFIG_DIR"] = str(ROOT / "config" / "temp" / "music-batch-runtime") - if args.fetch or not TITLES_FILE.exists(): + if args.fetch or args.fetch_only or not TITLES_FILE.exists(): site_keys = [key.strip() for key in args.sites.split(",") if key.strip()] entries = fetch_titles(site_keys, max_pages=args.pages) if not entries: sys.exit("未抓取到任何种子标题") TITLES_FILE.parent.mkdir(parents=True, exist_ok=True) - TITLES_FILE.write_text( - "\n".join(f"{site_name}\t{title}" for site_name, title in entries), - encoding="utf-8", - ) + with TITLES_FILE.open("w", encoding="utf-8", newline="") as stream: + csv.writer(stream, delimiter="\t").writerows(entries) print(f"已保存 {len(entries)} 条标题到 {TITLES_FILE}") else: entries = read_titles_file() print(f"复用已保存的 {len(entries)} 条标题") - run_batch(entries) + if not args.fetch_only: + run_batch(entries[:args.limit] if args.limit else entries, args.music_type) if __name__ == "__main__": diff --git a/tests/fixtures/music_lifecycle_recording.json b/tests/fixtures/music_lifecycle_recording.json new file mode 100644 index 000000000..d890a7fce --- /dev/null +++ b/tests/fixtures/music_lifecycle_recording.json @@ -0,0 +1,1812 @@ +{ + "source": "MusicBrainz public WS/2 responses captured 2026-09-09", + "title": "李佳薇 - 碧苍 (电视剧《与凤行》“碧海苍穹”主题曲) (2024) - WEB-DL - 16bit ALAC-HHWEB", + "description": "李佳薇 - 碧苍 (电视剧《与凤行》“碧海苍穹”主题曲) | ALAC | 苹果音乐 | 录音室专辑", + "expected_id": "b64cad55-4c77-49cc-964a-fc3aaee5fa15", + "requests": [ + { + "path": "/recording", + "params": { + "fmt": "json", + "limit": 10, + "query": "recording:(\"碧苍 (电视剧《与凤行》“碧海苍穹”主题曲)\" OR \"碧蒼 (電視劇《與鳳行》「碧海蒼穹」主題曲)\") AND artist:\"李佳薇\" AND release:(\"碧苍 (电视剧《与凤行》“碧海苍穹”主题曲)\" OR \"碧蒼 (電視劇《與鳳行》「碧海蒼穹」主題曲)\")" + }, + "payload": { + "created": "2026-09-09T07:27:00.387Z", + "count": 0, + "offset": 0, + "recordings": [] + } + }, + { + "path": "/recording", + "params": { + "fmt": "json", + "limit": 10, + "query": "recording:(\"碧苍 (电视剧《与凤行》“碧海苍穹”主题曲)\" OR \"碧蒼 (電視劇《與鳳行》「碧海蒼穹」主題曲)\")" + }, + "payload": { + "created": "2026-09-09T07:27:01.393Z", + "count": 0, + "offset": 0, + "recordings": [] + } + }, + { + "path": "/recording", + "params": { + "fmt": "json", + "limit": 10, + "query": "recording:(\"碧苍\" OR \"碧蒼\") AND artist:\"李佳薇\"" + }, + "payload": { + "created": "2026-09-09T07:27:10.896Z", + "count": 3, + "offset": 0, + "recordings": [ + { + "id": "b64cad55-4c77-49cc-964a-fc3aaee5fa15", + "score": 100, + "artist-credit-id": "d7aa3250-3750-3754-857d-b90d2a8ab263", + "title": "碧苍", + "length": 229000, + "video": null, + "artist-credit": [ + { + "name": "李佳薇", + "artist": { + "id": "6c603138-0195-4798-9676-5b57e3380094", + "name": "李佳薇", + "sort-name": "Lee, Jess", + "disambiguation": "Malaysian mandopop singer, active in Taiwan", + "aliases": [ + { + "sort-name": "Lee, Jess", + "type-id": "894afba6-2816-3c24-8072-eadb66bd04bc", + "name": "Jess Lee", + "locale": "en", + "type": "Artist name", + "primary": true, + "begin-date": null, + "end-date": null + }, + { + "sort-name": "Lee, Jess", + "type-id": "894afba6-2816-3c24-8072-eadb66bd04bc", + "name": "李佳薇", + "locale": "zh", + "type": "Artist name", + "primary": true, + "begin-date": null, + "end-date": null + } + ] + } + } + ], + "first-release-date": "2024-03-21", + "releases": [ + { + "id": "df5ce252-c947-4fc7-8f49-aa60719ee93a", + "artist-credit-id": "d7aa3250-3750-3754-857d-b90d2a8ab263", + "count": 1, + "title": "碧苍", + "artist-credit": [ + { + "name": "李佳薇", + "artist": { + "id": "6c603138-0195-4798-9676-5b57e3380094", + "name": "李佳薇", + "sort-name": "Lee, Jess", + "disambiguation": "Malaysian mandopop singer, active in Taiwan" + } + } + ], + "release-group": { + "id": "b9281b1d-c2d5-41c8-8a43-92104bbd7938", + "type-id": "d6038452-8ee0-3f68-affc-2de9a1ede0b9", + "primary-type-id": "d6038452-8ee0-3f68-affc-2de9a1ede0b9", + "title": "碧苍", + "disambiguation": "from《与凤行》[The Legend of Shen Li] OST", + "primary-type": "Single", + "secondary-types": [ + "Soundtrack" + ], + "secondary-type-ids": [ + "22a628ad-c082-3c4f-b1b6-d41665107b88" + ] + }, + "date": "2024-03-21", + "country": "CN", + "release-events": [ + { + "date": "2024-03-21", + "area": { + "id": "7c81bb69-a99b-3487-b6d4-0f76d7a29ca0", + "name": "China", + "sort-name": "China", + "iso-3166-1-codes": [ + "CN" + ] + } + } + ], + "track-count": 2, + "media": [ + { + "id": "08168b29-8f01-4c41-b2a8-af49c429e9e0", + "position": 1, + "format": "Digital Media", + "track": [ + { + "id": "8b0046fa-8a1b-4d6e-ad42-cd7ea6656481", + "number": "2", + "title": "碧苍", + "length": 229000 + } + ], + "track-count": 2, + "track-offset": 1 + } + ] + } + ], + "isrcs": [ + "HKD012291069" + ] + }, + { + "id": "9f29834c-f965-4f70-a7f2-17171bba2338", + "score": 100, + "artist-credit-id": "d7aa3250-3750-3754-857d-b90d2a8ab263", + "title": "碧苍", + "length": 229000, + "video": null, + "artist-credit": [ + { + "name": "李佳薇", + "artist": { + "id": "6c603138-0195-4798-9676-5b57e3380094", + "name": "李佳薇", + "sort-name": "Lee, Jess", + "disambiguation": "Malaysian mandopop singer, active in Taiwan", + "aliases": [ + { + "sort-name": "Lee, Jess", + "type-id": "894afba6-2816-3c24-8072-eadb66bd04bc", + "name": "Jess Lee", + "locale": "en", + "type": "Artist name", + "primary": true, + "begin-date": null, + "end-date": null + }, + { + "sort-name": "Lee, Jess", + "type-id": "894afba6-2816-3c24-8072-eadb66bd04bc", + "name": "李佳薇", + "locale": "zh", + "type": "Artist name", + "primary": true, + "begin-date": null, + "end-date": null + } + ] + } + } + ], + "first-release-date": "2024-03-21", + "releases": [ + { + "id": "df5ce252-c947-4fc7-8f49-aa60719ee93a", + "artist-credit-id": "d7aa3250-3750-3754-857d-b90d2a8ab263", + "count": 1, + "title": "碧苍", + "artist-credit": [ + { + "name": "李佳薇", + "artist": { + "id": "6c603138-0195-4798-9676-5b57e3380094", + "name": "李佳薇", + "sort-name": "Lee, Jess", + "disambiguation": "Malaysian mandopop singer, active in Taiwan" + } + } + ], + "release-group": { + "id": "b9281b1d-c2d5-41c8-8a43-92104bbd7938", + "type-id": "d6038452-8ee0-3f68-affc-2de9a1ede0b9", + "primary-type-id": "d6038452-8ee0-3f68-affc-2de9a1ede0b9", + "title": "碧苍", + "disambiguation": "from《与凤行》[The Legend of Shen Li] OST", + "primary-type": "Single", + "secondary-types": [ + "Soundtrack" + ], + "secondary-type-ids": [ + "22a628ad-c082-3c4f-b1b6-d41665107b88" + ] + }, + "date": "2024-03-21", + "country": "CN", + "release-events": [ + { + "date": "2024-03-21", + "area": { + "id": "7c81bb69-a99b-3487-b6d4-0f76d7a29ca0", + "name": "China", + "sort-name": "China", + "iso-3166-1-codes": [ + "CN" + ] + } + } + ], + "track-count": 2, + "media": [ + { + "id": "08168b29-8f01-4c41-b2a8-af49c429e9e0", + "position": 1, + "format": "Digital Media", + "track": [ + { + "id": "6e459647-d5dc-49e5-bd5d-18262169db1c", + "number": "1", + "title": "碧苍", + "length": 229000 + } + ], + "track-count": 2, + "track-offset": 0 + } + ] + } + ], + "isrcs": [ + "HKD012291068" + ] + }, + { + "id": "f8e2eb16-76d9-4c50-a5d7-f03f9a91fc1c", + "score": 72, + "artist-credit-id": "d7aa3250-3750-3754-857d-b90d2a8ab263", + "title": "碧苍《与凤行》", + "length": 229532, + "video": null, + "artist-credit": [ + { + "name": "李佳薇", + "artist": { + "id": "6c603138-0195-4798-9676-5b57e3380094", + "name": "李佳薇", + "sort-name": "Lee, Jess", + "disambiguation": "Malaysian mandopop singer, active in Taiwan", + "aliases": [ + { + "sort-name": "Lee, Jess", + "type-id": "894afba6-2816-3c24-8072-eadb66bd04bc", + "name": "Jess Lee", + "locale": "en", + "type": "Artist name", + "primary": true, + "begin-date": null, + "end-date": null + }, + { + "sort-name": "Lee, Jess", + "type-id": "894afba6-2816-3c24-8072-eadb66bd04bc", + "name": "李佳薇", + "locale": "zh", + "type": "Artist name", + "primary": true, + "begin-date": null, + "end-date": null + } + ] + } + } + ], + "first-release-date": "2026-04-05", + "releases": [ + { + "id": "d7cfe830-ece7-4f4c-9e7d-e01eadca4451", + "status-id": "4e304316-386d-3409-af2e-78857eec5cfe", + "artist-credit-id": "949a7fd5-fe73-3e8f-922e-01ff4ca958f7", + "count": 1, + "title": "与凤行 电视剧原声带", + "status": "Official", + "artist-credit": [ + { + "name": "Various Artists", + "artist": { + "id": "89ad4ac3-39f7-470e-963a-56509c546377", + "name": "Various Artists", + "sort-name": 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} + ], + "release-group": { + "id": "a8c1dbcb-01fa-4730-a3d0-8c4f89757cf9", + "type-id": "f529b476-6e62-324f-b0aa-1f3e33d313fc", + "primary-type-id": "f529b476-6e62-324f-b0aa-1f3e33d313fc", + "title": "incidents", + "primary-type": "Album" + }, + "date": "2022-11-23", + "country": "JP", + "release-events": [ + { + "date": "2022-11-23", + "area": { + "id": "2db42837-c832-3c27-b4a3-08198f75693c", + "name": "Japan", + "sort-name": "Japan", + "iso-3166-1-codes": [ + "JP" + ] + } + } + ], + "track-count": 6, + "media": [ + { + "id": "821b58b6-e629-332e-800d-3799fb2c79f4", + "position": 1, + "format": "Digital Media", + "track": [ + { + "id": "4f8a400e-957a-474a-8b02-f69b9b144fe9", + "number": "6", + "title": "碧碧", + "length": 309358 + } + ], + "track-count": 6, + "track-offset": 5 + } + ] + } + ], + "isrcs": [ + "TCJPT2254719" + ] + } + ] + } + } + ] +} diff --git a/tests/test_music_lifecycle_audit.py b/tests/test_music_lifecycle_audit.py new file mode 100644 index 000000000..8169980f3 --- /dev/null +++ b/tests/test_music_lifecycle_audit.py @@ -0,0 +1,170 @@ +"""音乐实站审计发现的名称匹配和刮削身份回归。""" + +import asyncio +import json +import sqlite3 +from pathlib import Path +from unittest.mock import Mock + +import pytest + +from app.adapters.system import rust +from app.application.audio import AudioMetadataHelper +from app.chain.scraping import ScrapingChain +from app.domain.context import MusicInfo +from app.domain.meta.metamusic import MetaMusic +from app.domain.meta import runtime +from app.domain.metainfo import MetaInfo +from app.domain.music import match_music_resource +from app.modules.musicbrainz import MusicBrainzModule +from app.schemas.types import MediaSource, MediaType +from scripts import music_recognize_batch_test as batch + + +@pytest.mark.parametrize("title,artist,annotation", [ + ("一起飙高音", "黄明志", "(feat. 李佳薇)"), + ("黎明所愿", "李佳薇", "(电视剧《暗夜与黎明》插曲)"), + ("穿越星海", "李佳薇", "(《勿扰飞升》影视剧主题曲)"), + ("我要闭上眼睛", "李佳薇", "(《仙剑四》影视剧片尾曲)"), +]) +def test_credited_recording_matches_without_marketing_annotation(title, artist, annotation): + """明确署名或影视用途注释不改变录音名称，检索与订阅匹配保持一致。""" + resource = f"{artist} - {title} {annotation} (2024) - WEB-DL - 24bit ALAC-HHWEB" + meta = MetaMusic.parse_resource(resource) + artists = [artist, "李佳薇"] if "feat." in annotation else [artist] + candidate = MusicInfo(media_source="musicbrainz", media_id="recording", title=title, artists=artists) + + assert MusicBrainzModule._select_candidate(meta, [candidate], MediaSource.MusicBrainz) is candidate + assert match_music_resource(candidate, resource).status == "exact" + + +@pytest.mark.parametrize("annotation", ["(Part Two)", "(Live)", "(Remix)", "(feature presentation)"]) +def test_music_annotation_cleanup_preserves_distinct_works(annotation): + """未知副标题和录音版本仍须拒绝，不能靠删除所有括号提升命中率。""" + candidate = MusicInfo(media_source="musicbrainz", media_id="recording", title="Song", artists=["Artist"]) + meta = MetaMusic.parse_resource(f"Artist - Song {annotation} FLAC") + + assert MusicBrainzModule._select_candidate(meta, [candidate], MediaSource.MusicBrainz) is None + assert match_music_resource(candidate, meta.org_string).status != "exact" + + +def test_featured_recording_does_not_match_solo_candidate(): + """客串署名缺少来源佐证时，去注释不能把合作录音误配成独唱。""" + candidate = MusicInfo(media_source="musicbrainz", media_id="recording", title="Song", artists=["Artist"]) + meta = MetaMusic.parse_resource("Artist - Song (feat. Guest) FLAC") + + assert MusicBrainzModule._select_candidate(meta, [candidate], MediaSource.MusicBrainz) is None + assert match_music_resource(candidate, meta.org_string).status != "exact" + + +@pytest.mark.parametrize("recording_id", [None, "f4f1b7b2-22b0-4ce0-9ac6-31c336c52812"]) +def test_album_scrape_never_writes_release_group_as_recording(recording_id): + """专辑合并一直验证到标签投影，避免 release-group ID 污染下一次单曲识别。""" + local = MetaMusic(title="晴天", artists=["周杰伦"], track_number=3, + media_source=MediaSource.MusicBrainz if recording_id else None, media_id=recording_id) + album = MusicInfo(media_source="musicbrainz", media_id="album-id", music_type="album", + title="叶惠美", album="叶惠美", artists=["周杰伦"], total_tracks=11) + + merged = ScrapingChain._merge_music_album_metadata(local, album) + tags = AudioMetadataHelper._tag_values(merged) + + assert tags["musicbrainz_trackid"] == recording_id + assert tags["title"] == "晴天" + assert tags["album"] == "叶惠美" + assert local.album is None + + +@pytest.fixture(params=["python", "rust"]) +def music_parser(request, monkeypatch): + """使用真实两种引擎入口验证共享资源预处理，避免只修到 Python 回退。""" + if request.param == "rust": + if not rust.is_available(): + pytest.skip("moviepilot_rust 扩展未安装") + monkeypatch.setattr(rust, "is_enabled", lambda: True) + monkeypatch.setattr(runtime, "_metainfo_accelerator", rust if request.param == "rust" else None) + return MetaInfo + + +def test_resource_release_catalog_does_not_pollute_album_name(music_parser): + """标准 CD 抓轨尾链只提供发行和音质信息，不应进入专辑名称。""" + title = ("周杰伦 - Jay (2000) - CD - [WAV整轨+CUE] - 16bit - 44.1kHz - " + "{TW - Alfa Music 74321838942} - CFQG@HDFans") + meta = music_parser(title, mtype=MediaType.MUSIC) + + assert (meta.title, meta.artists, meta.year) == ("Jay", ["周杰伦"], 2000) + assert meta.audio_format == "WAV" + assert meta.org_string == title + + +def test_vertical_separator_does_not_turn_record_label_into_artist(music_parser): + """站点竖线分隔的厂牌和编号不能被拼接为 artist-title 署名。""" + meta = music_parser( + "Duo.Improbabile.Improbabile.Genesi.2016.DSF.FLAC", + "From NativeDSD丨VDM Records - VDM038009丨DSD256", + mtype=MediaType.MUSIC, + ) + + assert meta.artists == [] + + +def test_batch_uses_subtitle_and_does_not_count_display_fallback(): + """评测必须复用正式入口并区分本地展示对象和远端身份命中。""" + module = Mock() + module.recognize_media.return_value = MusicInfo(title="晴天") + + result = batch.recognize_one(module, "晴天 FLAC", "演唱：周杰伦；专辑：叶惠美") + + assert result["status"] == "未命中" + assert result["parsed_artists"] == "周杰伦" + assert result["parsed_album"] == "叶惠美" + assert module.recognize_media.call_args.kwargs["cache"] is False + + +def test_batch_reads_multiline_subtitles_and_legacy_rows(tmp_path, monkeypatch): + """TSV 正确还原带换行的副标题，同时支持旧版只有主标题的采样。""" + path = tmp_path / "titles.tsv" + path.write_text('站点\t晴天\t"歌手：周杰伦\n专辑：叶惠美"\n旧站\t单曲\n旧标题\n', encoding="utf-8") + monkeypatch.setattr(batch, "TITLES_FILE", path) + + assert batch.read_titles_file() == [ + ("站点", "晴天", "歌手：周杰伦\n专辑：叶惠美"), + ("旧站", "单曲", ""), ("憨憨", "旧标题", ""), + ] + + +def test_batch_matches_registered_site_domain(tmp_path, monkeypatch): + """索引中的 pt 子域须按生产库注册域查找，不能把已有 Cookie 误报成缺失。""" + path = tmp_path / "user.db" + with sqlite3.connect(path) as connection: + connection.execute("CREATE TABLE site (domain TEXT, cookie TEXT, ua TEXT, proxy INTEGER)") + connection.execute("INSERT INTO site VALUES (?, ?, ?, ?)", ("example.org", "fixture", "test", 0)) + monkeypatch.setattr(batch, "DB_PATH", path) + + result = batch.load_site_credentials(["pt.example.org"]) + + assert result["pt.example.org"]["cookie"] == "fixture" + + +@pytest.mark.parametrize("asynchronous", [False, True]) +def test_real_recording_response_matches_tie_in_title(asynchronous, monkeypatch): + """实站名称和公共响应离线重放，确认修复能识别单曲而非回退到同名专辑。""" + fixture = json.loads((Path(__file__).parent / "fixtures/music_lifecycle_recording.json").read_text(encoding="utf-8")) + module = MusicBrainzModule() + + def request(path, params=None): + """只接受已录制请求，意外新增出站路径直接使回归失败。""" + return next(item["payload"] for item in fixture["requests"] if item["path"] == path and item["params"] == params) + + async def async_request(path, params=None): + """异步入口消费相同公共响应。""" + return request(path, params) + + monkeypatch.setattr(module, "_request_json", request) + monkeypatch.setattr(module, "_async_request_json", async_request) + kwargs = dict(meta=MetaMusic.parse_resource(fixture["title"], fixture["description"]), + media_source=MediaSource.MusicBrainz, mtype=MediaType.MUSIC, music_type="recording", cache=False) + result = asyncio.run(module.async_recognize_media(**kwargs)) if asynchronous else module.recognize_media(**kwargs) + + assert result.media_id == fixture["expected_id"] + assert result.music_type == "recording" + assert result.artists == ["李佳薇"] diff --git a/tests/test_music_scrape.py b/tests/test_music_scrape.py index aa9567617..cd2989978 100644 --- a/tests/test_music_scrape.py +++ b/tests/test_music_scrape.py @@ -31,7 +31,7 @@ def _album_info() -> MusicInfo: ) -def test_album_scrape_merge_preserves_track_fields_and_applies_album_identity() -> None: +def test_album_scrape_merge_preserves_track_fields_and_applies_album_metadata() -> None: """专辑批量刮削应保留每首歌自己的曲名和曲序，只统一专辑级字段。""" local = MetaMusic( title="晴天", @@ -52,8 +52,8 @@ def test_album_scrape_merge_preserves_track_fields_and_applies_album_identity() assert merged.album_artist == "周杰伦" assert merged.year == 2003 assert merged.total_tracks == 11 - assert merged.media_source == "musicbrainz" - assert merged.media_id == "release-group-1" + assert merged.media_source is None + assert merged.media_id is None def test_album_directory_scrape_processes_each_track_and_reuses_cover() -> None: