fix: restore tmdb trending recommendations

tests/test_media_recognize_modules.py

@@ -107,6 +107,22 @@ class MediaRecognizeModulesTest(TestCase):
 
         self.assertEqual(result, "zh,en,null,ja")
 
+    def test_tmdb_trending_filters_non_media_and_normalizes_media_type(self):
+        """TMDB流行趋势应过滤人物项，并把字符串媒体类型转为内部枚举。"""
+        infos = [
+            {"id": 100, "media_type": "movie", "title": "测试电影"},
+            {"id": 101, "media_type": "tv", "name": "测试剧集"},
+            {"id": 102, "media_type": "person", "name": "测试人物"},
+            {"id": 103, "media_type": MediaType.MOVIE, "title": "枚举电影"},
+        ]
+
+        result = TmdbApi._normalize_trending_infos(infos)
+
+        self.assertEqual([info["id"] for info in result], [100, 101, 103])
+        self.assertEqual(result[0]["media_type"], MediaType.MOVIE)
+        self.assertEqual(result[1]["media_type"], MediaType.TV)
+        self.assertEqual(result[2]["media_type"], MediaType.MOVIE)
+
     def test_tmdb_obtain_images_uses_language_fallback_and_picks_best(self):
         """obtain_images 应从图片接口回填缺失的海报和背景图。"""
         module = TheMovieDbModule()

tests/test_recommend_chain.py

@@ -0,0 +1,42 @@
+import asyncio
+from unittest import TestCase
+from unittest.mock import AsyncMock, patch
+
+from app.chain.recommend import RecommendChain
+from app.core.cache import TTLCache
+
+
+class RecommendChainTest(TestCase):
+    def tearDown(self):
+        """
+        清理推荐缓存，避免缓存装饰器状态影响其他用例。
+        """
+        RecommendChain.tmdb_trending.cache_clear()
+        asyncio.run(RecommendChain.async_tmdb_trending.cache_clear())
+        TTLCache(region=RecommendChain.recommend_cache_region).clear()
+
+    def test_tmdb_trending_does_not_cache_empty_result(self):
+        """
+        TMDB流行趋势返回空列表时不应缓存，避免一次接口异常后长时间固定为空。
+        """
+        chain = RecommendChain()
+        with patch("app.chain.recommend.TmdbChain") as tmdb_chain:
+            tmdb_chain.return_value.tmdb_trending.side_effect = [[], []]
+
+            self.assertEqual(chain.tmdb_trending(page=1), [])
+            self.assertEqual(chain.tmdb_trending(page=1), [])
+
+        self.assertEqual(tmdb_chain.return_value.tmdb_trending.call_count, 2)
+
+    def test_async_tmdb_trending_does_not_cache_empty_result(self):
+        """
+        异步TMDB流行趋势返回空列表时也不应缓存。
+        """
+        chain = RecommendChain()
+        with patch("app.chain.recommend.TmdbChain") as tmdb_chain:
+            tmdb_chain.return_value.async_run_module = AsyncMock(side_effect=[[], []])
+
+            self.assertEqual(asyncio.run(chain.async_tmdb_trending(page=1)), [])
+            self.assertEqual(asyncio.run(chain.async_tmdb_trending(page=1)), [])
+
+        self.assertEqual(tmdb_chain.return_value.async_run_module.call_count, 2)

tests/test_tmdb_response_cache.py

@@ -146,13 +146,13 @@ class _UnicodeDecodeErrorResponse:
     模拟 httpx.Response.json() 直接抛 UnicodeDecodeError 的异常响应。
     """
 
-    def __init__(self, content: bytes = b"\x8b"):
+    def __init__(self, content: bytes = b"\x8b", text: str = ""):
         """
         初始化一个带有压缩响应特征的伪响应对象。
         """
         self.headers = {"Content-Type": "application/json", "Content-Encoding": "gzip"}
         self.status_code = 200
-        self.text = ""
+        self.text = text
         self.content = content
 
     def json(self):
@@ -227,10 +227,16 @@ class TmdbResponseCacheTest(TestCase):
         错误编码的响应体也应转换为TMDbException，避免UnicodeDecodeError直接冒泡。
         """
         tmdb = TMDb()
-        tmdb._req.get_res = lambda *args, **kwargs: _UnicodeDecodeErrorResponse()
+        tmdb._req.get_res = lambda *args, **kwargs: _UnicodeDecodeErrorResponse(
+            text="乱码内容不应进入日志"
+        )
 
-        with self.assertRaisesRegex(TMDbException, "不是有效JSON.*Content-Encoding：gzip"):
+        with self.assertRaisesRegex(
+                TMDbException,
+                "不是有效JSON.*Content-Encoding：gzip.*响应内容因编码错误已省略",
+        ) as cm:
             TMDb.request.__wrapped__(tmdb, "GET", "https://example.com", None, None)
+        self.assertNotIn("乱码内容", str(cm.exception))
 
     def test_request_decodes_raw_gzip_json_response(self):
         """