tingwu_new

backend/ai_services/bailian_service.py

@@ -50,11 +50,36 @@ class BailianService:
             chapter_context = ""
             if task.auto_chapters_data:
                 try:
-                    # 确保是字符串格式
-                    if isinstance(task.auto_chapters_data, (dict, list)):
-                        chapters_str = json.dumps(task.auto_chapters_data, ensure_ascii=False, indent=2)
-                    else:
-                        chapters_str = str(task.auto_chapters_data)
+                    chapters_str = ""
+                    # 处理特定的 AutoChapters 结构
+                    # 格式: {"AutoChapters": [{"Id": 1, "Start": 740, "End": 203436, "Headline": "...", "Summary": "..."}, ...]}
+                    if isinstance(task.auto_chapters_data, dict) and 'AutoChapters' in task.auto_chapters_data:
+                        chapters = task.auto_chapters_data['AutoChapters']
+                        if isinstance(chapters, list):
+                            chapter_lines = []
+                            for ch in chapters:
+                                # 毫秒转 MM:SS
+                                start_ms = ch.get('Start', 0)
+                                end_ms = ch.get('End', 0)
+                                start_str = f"{start_ms // 60000:02d}:{(start_ms // 1000) % 60:02d}"
+                                end_str = f"{end_ms // 60000:02d}:{(end_ms // 1000) % 60:02d}"
+                                
+                                headline = ch.get('Headline', '无标题')
+                                summary = ch.get('Summary', '')
+                                
+                                line = f"- [{start_str} - {end_str}] {headline}"
+                                if summary:
+                                    line += f"\n  摘要: {summary}"
+                                chapter_lines.append(line)
+                            
+                            chapters_str = "\n".join(chapter_lines)
+
+                    # 如果上面的解析为空（或者格式不匹配），回退到通用 JSON dump
+                    if not chapters_str:
+                        if isinstance(task.auto_chapters_data, (dict, list)):
+                            chapters_str = json.dumps(task.auto_chapters_data, ensure_ascii=False, indent=2)
+                        else:
+                            chapters_str = str(task.auto_chapters_data)
                     
                     chapter_context = f"\n\n【章节与时间戳信息】\n{chapters_str}\n\n(提示：请结合上述章节时间戳信息，分析发言者的语速、节奏变化及停顿情况。)"
                 except Exception as e: