fix: auto-fix code issues (cron)

- 修复重复导入/字段
- 修复异常处理
- 修复PEP8格式问题
- 添加类型注解

backend/multimodal_processor.py

@@ -130,10 +130,10 @@ class MultimodalProcessor:
             if FFMPEG_AVAILABLE:
                 probe = ffmpeg.probe(video_path)
                 video_stream = next(
-                    (s for s in probe["streams"] if s["codec_type"] == "video"), None
+                    (s for s in probe["streams"] if s["codec_type"] == "video"), None,
                 )
                 audio_stream = next(
-                    (s for s in probe["streams"] if s["codec_type"] == "audio"), None
+                    (s for s in probe["streams"] if s["codec_type"] == "audio"), None,
                 )
 
                 if video_stream:
@@ -260,7 +260,7 @@ class MultimodalProcessor:
                     if frame_number % frame_interval_frames == 0:
                         timestamp = frame_number / fps
                         frame_path = os.path.join(
-                            video_frames_dir, f"frame_{frame_number:06d}_{timestamp:.2f}.jpg"
+                            video_frames_dir, f"frame_{frame_number:06d}_{timestamp:.2f}.jpg",
                         )
                         cv2.imwrite(frame_path, frame)
                         frame_paths.append(frame_path)
@@ -292,7 +292,7 @@ class MultimodalProcessor:
                         os.path.join(video_frames_dir, f)
                         for f in os.listdir(video_frames_dir)
                         if f.startswith("frame_")
-                    ]
+                    ],
                 )
         except Exception as e:
             print(f"Error extracting keyframes: {e}")
@@ -333,7 +333,7 @@ class MultimodalProcessor:
             return "", 0.0
 
     def process_video(
-        self, video_data: bytes, filename: str, project_id: str, video_id: str = None
+        self, video_data: bytes, filename: str, project_id: str, video_id: str = None,
     ) -> VideoProcessingResult:
         """
         处理视频文件：提取音频、关键帧、OCR
@@ -399,7 +399,7 @@ class MultimodalProcessor:
                             "timestamp": timestamp,
                             "text": ocr_text,
                             "confidence": confidence,
-                        }
+                        },
                     )
                     all_ocr_text.append(ocr_text)