import asyncio import sys import unittest from types import ModuleType from unittest.mock import AsyncMock, patch sys.modules.setdefault("qbittorrentapi", ModuleType("qbittorrentapi")) setattr(sys.modules["qbittorrentapi"], "TorrentFilesList", list) sys.modules.setdefault("transmission_rpc", ModuleType("transmission_rpc")) setattr(sys.modules["transmission_rpc"], "File", object) sys.modules.setdefault("psutil", ModuleType("psutil")) from app.chain import ChainBase from app.core.context import MediaInfo from app.core.meta import MetaBase from app.helper.recognize import MediaRecognizeShareHelper from app.schemas.types import MediaType class TestMediaRecognizeShare(unittest.TestCase): @classmethod def setUpClass(cls): cls.chain = ChainBase() @staticmethod def _build_meta(name: str, media_type: MediaType = MediaType.UNKNOWN) -> MetaBase: """ 构造测试用元数据 """ meta = MetaBase(name) meta.name = name meta.type = media_type return meta def test_report_shared_result_after_local_recognize_success(self): """ 本地识别成功后应上报共享识别结果 """ meta = self._build_meta("测试电影", MediaType.MOVIE) mediainfo = MediaInfo(title="测试电影", year="2024", tmdb_id=100, type=MediaType.MOVIE) with patch.object(self.chain, "run_module", return_value=mediainfo) as run_module, patch( "app.chain.MediaRecognizeShareHelper.report", return_value=True, ) as report_mock, patch( "app.chain.MediaRecognizeShareHelper.query" ) as query_mock: result = self.chain.recognize_media(meta=meta, cache=False) self.assertIs(result, mediainfo) run_module.assert_called_once() report_mock.assert_called_once_with(meta=meta, mediainfo=mediainfo) query_mock.assert_not_called() def test_query_shared_result_when_local_recognize_failed(self): """ 本地识别失败后应回查共享识别结果，并按共享ID再次识别 """ meta = self._build_meta("测试剧集") shared_media = MediaInfo(title="测试剧集", year="2024", tmdb_id=200, type=MediaType.TV) with patch.object( self.chain, "run_module", side_effect=[None, shared_media], ) as run_module, patch( "app.chain.MediaRecognizeShareHelper.query", return_value={"type": "tv", "tmdbid": 200, "season": 1}, ) as query_mock, patch( "app.chain.MediaRecognizeShareHelper.to_recognize_params", return_value={ "mtype": MediaType.TV, "tmdbid": 200, "doubanid": None, "bangumiid": None, "season": 1, }, ), patch( "app.chain.MediaRecognizeShareHelper.report", return_value=False, ), patch.object( self.chain, "_update_local_recognize_cache", ): result = self.chain.recognize_media(meta=meta, cache=False) self.assertIs(result, shared_media) self.assertEqual(run_module.call_count, 2) query_mock.assert_called_once_with(meta=meta, mtype=None) second_call = run_module.call_args_list[1] self.assertEqual(second_call.kwargs["tmdbid"], 200) self.assertEqual(second_call.kwargs["mtype"], MediaType.TV) self.assertIsNone(meta.begin_season) def test_async_query_shared_result_when_local_recognize_failed(self): """ 异步识别失败后也应回查共享识别结果 """ meta = self._build_meta("测试异步剧集") shared_media = MediaInfo(title="测试异步剧集", year="2025", tmdb_id=300, type=MediaType.TV) async_run_module = AsyncMock(side_effect=[None, shared_media]) async def runner(): with patch.object( self.chain, "async_run_module", async_run_module, ), patch( "app.chain.MediaRecognizeShareHelper.async_query", AsyncMock(return_value={"type": "tv", "tmdbid": 300, "season": 2}), ) as query_mock, patch( "app.chain.MediaRecognizeShareHelper.to_recognize_params", return_value={ "mtype": MediaType.TV, "tmdbid": 300, "doubanid": None, "bangumiid": None, "season": 2, }, ), patch( "app.chain.MediaRecognizeShareHelper.async_report", AsyncMock(return_value=False), ), patch.object( self.chain, "_async_update_local_recognize_cache", AsyncMock(), ) as backfill_mock: result = await self.chain.async_recognize_media(meta=meta, cache=False) return result, query_mock, backfill_mock result, query_mock, backfill_mock = asyncio.run(runner()) self.assertIs(result, shared_media) self.assertEqual(async_run_module.await_count, 2) query_mock.assert_awaited_once_with(meta=meta, mtype=None) backfill_mock.assert_awaited_once() self.assertIsNone(meta.begin_season) def test_backfill_local_cache_after_shared_recognize_success(self): """ 共享识别后二次本地识别成功时，应回填原始名称对应的本地识别缓存。 """ meta = self._build_meta("测试缓存回填", MediaType.MOVIE) shared_media = MediaInfo( title="测试缓存回填", year="2024", tmdb_id=700, type=MediaType.MOVIE, source="themoviedb", tmdb_info={"id": 700, "media_type": MediaType.MOVIE, "title": "测试缓存回填"}, ) with patch.object( self.chain, "run_module", side_effect=[None, shared_media], ), patch( "app.chain.MediaRecognizeShareHelper.query", return_value={"type": "movie", "tmdbid": 700}, ), patch( "app.chain.MediaRecognizeShareHelper.to_recognize_params", return_value={ "mtype": MediaType.MOVIE, "tmdbid": 700, "doubanid": None, "bangumiid": None, "season": None, }, ), patch( "app.chain.MediaRecognizeShareHelper.report", return_value=False, ), patch.object( self.chain, "_update_local_recognize_cache", ) as backfill_mock: result = self.chain.recognize_media(meta=meta, cache=False) self.assertIs(result, shared_media) backfill_mock.assert_called_once() backfill_meta, backfill_media = backfill_mock.call_args.args self.assertIsNot(backfill_meta, meta) self.assertEqual(backfill_meta.name, meta.name) self.assertEqual(backfill_meta.type, meta.type) self.assertIs(backfill_media, shared_media) def test_query_and_report_prefer_original_name_keyword(self): """ 查询和上报共享识别时应优先使用未应用识别词的识别名称 """ helper = MediaRecognizeShareHelper() meta = self._build_meta("应用识别词后的名称", MediaType.TV) meta.original_name = "未应用识别词的名称" meta.year = "2024" meta.begin_season = 1 mediainfo = MediaInfo( title="测试剧集", year="2024", tmdb_id=400, type=MediaType.TV, season=1, ) query_params = helper._build_query_params(meta=meta) report_payload = helper._build_report_payload(meta=meta, mediainfo=mediainfo) self.assertEqual(query_params["keyword"], "未应用识别词的名称") self.assertEqual(report_payload["keyword"], "未应用识别词的名称") def test_skip_report_when_local_recognize_hits_cache(self): """ 本地识别命中缓存时不应上报共享识别 """ meta = self._build_meta("缓存电影", MediaType.MOVIE) mediainfo = MediaInfo(title="缓存电影", year="2024", tmdb_id=500, type=MediaType.MOVIE) mediainfo.recognize_cache_hit = True with patch.object(self.chain, "run_module", return_value=mediainfo) as run_module, patch( "app.chain.MediaRecognizeShareHelper.report", return_value=True, ) as report_mock, patch( "app.chain.MediaRecognizeShareHelper.query" ) as query_mock: result = self.chain.recognize_media(meta=meta) self.assertIs(result, mediainfo) run_module.assert_called_once() report_mock.assert_not_called() query_mock.assert_not_called() def test_async_skip_report_when_local_recognize_hits_cache(self): """ 异步本地识别命中缓存时不应上报共享识别 """ meta = self._build_meta("缓存剧集", MediaType.TV) mediainfo = MediaInfo(title="缓存剧集", year="2025", tmdb_id=600, type=MediaType.TV) mediainfo.recognize_cache_hit = True async def runner(): with patch.object( self.chain, "async_run_module", AsyncMock(return_value=mediainfo), ) as async_run_module, patch( "app.chain.MediaRecognizeShareHelper.async_report", AsyncMock(return_value=True), ) as report_mock, patch( "app.chain.MediaRecognizeShareHelper.async_query", AsyncMock(), ) as query_mock: result = await self.chain.async_recognize_media(meta=meta) return result, async_run_module, report_mock, query_mock result, async_run_module, report_mock, query_mock = asyncio.run(runner()) self.assertIs(result, mediainfo) async_run_module.assert_awaited_once() report_mock.assert_not_awaited() query_mock.assert_not_awaited() if __name__ == "__main__": unittest.main()