fix(test): update mediakit cover tests for unified cover pipeline

tests/unit/test_mediakit_cover.py

@@ -141,93 +141,13 @@ class TestMediaKitClient:
 
 
 class TestAICoverService:
-    """AI 封面服务测试（已迁移到 FFmpeg 本地抽帧）。"""
-
-    @patch("packages.shared.ai_service.http_requests.head")
-    @patch("packages.shared.ai_service._extract_frames_with_ffmpeg")
-    def test_call_ai_cover_with_ffmpeg_success(self, mock_ffmpeg, mock_head):
-        """FFmpeg 本地抽帧成功."""
-        import tempfile
-
-        mock_head.return_value.status_code = 200
-
-        tmp = tempfile.NamedTemporaryFile(suffix=".jpg", delete=False)
-        tmp.write(b"\xff\xd8" + b"\x00" * 50)
-        tmp.close()
-
-        mock_ffmpeg.return_value = [{"local_path": tmp.name, "frame_time": 3.5}]
-
-        with patch("packages.shared.storage.get_shared_storage_service") as mock_storage_fn:
-            mock_storage = Mock()
-            mock_storage.upload_file = Mock()
-            mock_storage.get_url.return_value = "https://example.com/frame.jpg"
-            mock_storage_fn.return_value = mock_storage
-
-            from packages.shared.ai_service import _call_ai_cover_service
-
-            result = _call_ai_cover_service(
-                plan_id="plan-123",
-                asset_ids=["asset-1"],
-                cover_type="ai_frame",
-                primary_video_url="https://example.com/video.mp4",
-            )
-
-            assert result["type"] == "ai_frame"
-            assert result["image_url"] == "https://example.com/frame.jpg"
-            assert result["frame_time"] == 3.5
-            assert result["confidence"] == 0.85
-
-        Path(tmp.name).unlink(missing_ok=True)
-
-    @patch("packages.shared.ai_service.http_requests.head")
-    def test_call_ai_cover_video_url_unreachable(self, mock_head):
-        """视频 URL 不可访问时抛出 RuntimeError."""
-        mock_head.return_value.status_code = 404
+    """AI 封面服务测试（统一封面管道后）。"""
 
+    def test_call_ai_cover_ai_frame_raises(self):
+        """ai_frame type raises RuntimeError in unified pipeline."""
         from packages.shared.ai_service import _call_ai_cover_service
 
-        with pytest.raises(RuntimeError, match="预览视频URL不可访问"):
-            _call_ai_cover_service(
-                plan_id="plan-123",
-                asset_ids=["asset-1"],
-                cover_type="ai_frame",
-                primary_video_url="https://example.com/nonexistent.mp4",
-            )
-
-    @patch("packages.shared.ai_service.http_requests.head")
-    @patch("packages.shared.ai_service._extract_frames_with_ffmpeg")
-    def test_call_ai_cover_url_double_slash_normalized(self, mock_ffmpeg, mock_head):
-        """URL 路径中的双斜杠应被规范化."""
-        dirty_url = "https://oss.example.com/generated/projects//tasks/abc123/rendered.mp4"
-        clean_url = "https://oss.example.com/generated/projects/tasks/abc123/rendered.mp4"
-
-        mock_head.return_value.status_code = 200
-        mock_ffmpeg.return_value = []
-
-        from packages.shared.ai_service import _call_ai_cover_service
-
-        with pytest.raises(RuntimeError):
-            _call_ai_cover_service(
-                plan_id="plan-1",
-                asset_ids=["a1"],
-                cover_type="ai_frame",
-                primary_video_url=dirty_url,
-            )
-
-        # HEAD 请求使用规范化后的 URL
-        mock_head.assert_called_once()
-        assert mock_head.call_args[0][0] == clean_url
-
-    @patch("packages.shared.ai_service.http_requests.head")
-    @patch("packages.shared.ai_service._extract_frames_with_ffmpeg")
-    def test_call_ai_cover_ffmpeg_failure_raises(self, mock_ffmpeg, mock_head):
-        """FFmpeg 抽帧失败时抛出 RuntimeError."""
-        mock_head.return_value.status_code = 200
-        mock_ffmpeg.side_effect = Exception("ffmpeg error")
-
-        from packages.shared.ai_service import _call_ai_cover_service
-
-        with pytest.raises(RuntimeError, match="无法从视频抽帧"):
+        with pytest.raises(RuntimeError, match="封面数据不可用"):
             _call_ai_cover_service(
                 plan_id="plan-123",
                 asset_ids=["asset-1"],
@@ -235,11 +155,22 @@ class TestAICoverService:
                 primary_video_url="https://example.com/video.mp4",
             )
 
+    def test_call_ai_cover_ai_regenerate_raises(self):
+        """ai_regenerate type raises RuntimeError in unified pipeline."""
+        from packages.shared.ai_service import _call_ai_cover_service
+
+        with pytest.raises(RuntimeError, match="封面数据不可用"):
+            _call_ai_cover_service(
+                plan_id="plan-123",
+                asset_ids=["asset-1"],
+                cover_type="ai_regenerate",
+            )
+
     def test_call_ai_cover_without_video_url_raises(self):
-        """没有视频 URL 时抛出 RuntimeError."""
+        """ai_frame without video URL still raises RuntimeError."""
         from packages.shared.ai_service import _call_ai_cover_service
 
-        with pytest.raises(RuntimeError, match="无法从视频抽帧"):
+        with pytest.raises(RuntimeError, match="封面数据不可用"):
             _call_ai_cover_service(
                 plan_id="plan-123",
                 asset_ids=["asset-1"],
@@ -276,23 +207,6 @@ class TestAICoverService:
         assert result["type"] == "manual"
         assert result["frame_time"] == 5.0
 
-    @patch("packages.shared.ai_service.http_requests.head")
-    @patch("packages.shared.ai_service._extract_frames_with_ffmpeg")
-    def test_call_ai_cover_empty_frames_raises(self, mock_ffmpeg, mock_head):
-        """FFmpeg 返回空帧列表时抛出 RuntimeError."""
-        mock_head.return_value.status_code = 200
-        mock_ffmpeg.return_value = []
-
-        from packages.shared.ai_service import _call_ai_cover_service
-
-        with pytest.raises(RuntimeError, match="无法从视频抽帧"):
-            _call_ai_cover_service(
-                plan_id="plan-123",
-                asset_ids=["asset-1"],
-                cover_type="ai_frame",
-                primary_video_url="https://example.com/video.mp4",
-            )
-
 
 class TestGenerateCover:
     """run_generate_cover 测试."""