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

@@ -4,12 +4,11 @@ InsightFlow Multimodal Processor - Phase 7
 视频处理模块：提取音频、关键帧、OCR识别
 """
 
-import os
 import json
-import uuid
-import tempfile
+import os
 import subprocess
-from typing import List, Dict, Tuple
+import tempfile
+import uuid
 from dataclasses import dataclass
 from pathlib import Path
 
@@ -48,7 +47,7 @@ class VideoFrame:
     frame_path: str
     ocr_text: str = ""
     ocr_confidence: float = 0.0
-    entities_detected: List[Dict] = None
+    entities_detected: list[dict] = None
 
     def __post_init__(self):
         if self.entities_detected is None:
@@ -72,7 +71,7 @@ class VideoInfo:
     transcript_id: str = ""
     status: str = "pending"
     error_message: str = ""
-    metadata: Dict = None
+    metadata: dict = None
 
     def __post_init__(self):
         if self.metadata is None:
@@ -85,8 +84,8 @@ class VideoProcessingResult:
 
     video_id: str
     audio_path: str
-    frames: List[VideoFrame]
-    ocr_results: List[Dict]
+    frames: list[VideoFrame]
+    ocr_results: list[dict]
     full_text: str  # 整合的文本（音频转录 + OCR文本）
     success: bool
     error_message: str = ""
@@ -114,7 +113,7 @@ class MultimodalProcessor:
         os.makedirs(self.frames_dir, exist_ok=True)
         os.makedirs(self.audio_dir, exist_ok=True)
 
-    def extract_video_info(self, video_path: str) -> Dict:
+    def extract_video_info(self, video_path: str) -> dict:
         """
         提取视频基本信息
 
@@ -215,7 +214,7 @@ class MultimodalProcessor:
             print(f"Error extracting audio: {e}")
             raise
 
-    def extract_keyframes(self, video_path: str, video_id: str, interval: int = None) -> List[str]:
+    def extract_keyframes(self, video_path: str, video_id: str, interval: int = None) -> list[str]:
         """
         从视频中提取关键帧
 
@@ -275,7 +274,7 @@ class MultimodalProcessor:
 
         return frame_paths
 
-    def perform_ocr(self, image_path: str) -> Tuple[str, float]:
+    def perform_ocr(self, image_path: str) -> tuple[str, float]:
         """
         对图片进行OCR识别