sync: 同步服务器最新代码 (2026-01-27)

更新内容：
- 后端 AI 服务优化（能力分析、知识点解析等）
- 前端考试和陪练界面更新
- 修复多个 prompt 和 JSON 解析问题
- 更新 Coze 语音客户端

backend/app/services/ai/ability_analysis_service.py

@@ -477,3 +477,8 @@ ability_analysis_service = AbilityAnalysisService()
 
 
 
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backend/app/services/ai/course_chat_service.py

@@ -154,7 +154,10 @@ class CourseChatServiceV2:
             
             # 6. 更新会话索引
             if is_new_conversation:
-                await self._add_to_conversation_index(user_id, conversation_id, course_id)
+                await self._add_to_conversation_index(
+                    user_id, conversation_id, course_id, 
+                    first_message=query  # 使用用户第一条消息作为会话名称
+                )
             else:
                 await self._update_conversation_index(user_id, conversation_id)
             
@@ -202,7 +205,7 @@ class CourseChatServiceV2:
             Tuple[str, Optional[str]]: (事件类型, 数据)
                 - ("conversation_started", conversation_id): 会话开始
                 - ("chunk", text): 文本块
-                - ("end", None): 结束
+                - ("done", full_answer): 结束，附带完整回答
                 - ("error", message): 错误
         """
         full_answer = ""
@@ -251,7 +254,7 @@ class CourseChatServiceV2:
                 yield ("chunk", chunk)
             
             # 6. 发送结束事件
-            yield ("end", None)
+            yield ("done", full_answer)
             
             # 7. 保存对话历史
             await self._save_conversation_history(
@@ -262,7 +265,10 @@ class CourseChatServiceV2:
             
             # 8. 更新会话索引
             if is_new_conversation:
-                await self._add_to_conversation_index(user_id, conversation_id, course_id)
+                await self._add_to_conversation_index(
+                    user_id, conversation_id, course_id,
+                    first_message=query  # 使用用户第一条消息作为会话名称
+                )
             else:
                 await self._update_conversation_index(user_id, conversation_id)
             
@@ -526,7 +532,8 @@ class CourseChatServiceV2:
         self,
         user_id: int,
         conversation_id: str,
-        course_id: int
+        course_id: int,
+        first_message: str = ""
     ) -> None:
         """
         将会话添加到用户索引
@@ -535,6 +542,7 @@ class CourseChatServiceV2:
             user_id: 用户ID
             conversation_id: 会话ID
             course_id: 课程ID
+            first_message: 用户第一条消息（用于生成会话名称）
         """
         try:
             from app.core.redis import get_redis_client
@@ -547,12 +555,21 @@ class CourseChatServiceV2:
             await redis.zadd(index_key, {conversation_id: timestamp})
             await redis.expire(index_key, CONVERSATION_INDEX_TTL)
             
-            # 2. 保存会话元数据
+            # 2. 生成会话名称（取用户第一条消息的前30个字符）
+            conversation_name = ""
+            if first_message:
+                # 移除换行符，截取前30个字符
+                conversation_name = first_message.replace('\n', ' ').strip()[:30]
+                if len(first_message) > 30:
+                    conversation_name += "..."
+            
+            # 3. 保存会话元数据（包含会话名称）
             meta_key = f"{CONVERSATION_META_PREFIX}{conversation_id}"
             meta_data = {
                 "conversation_id": conversation_id,
                 "user_id": user_id,
                 "course_id": course_id,
+                "name": conversation_name,  # 会话名称
                 "created_at": timestamp,
                 "updated_at": timestamp,
             }
@@ -563,7 +580,8 @@ class CourseChatServiceV2:
             )
             
             logger.debug(
-                f"会话已添加到索引 - user_id: {user_id}, conversation_id: {conversation_id}"
+                f"会话已添加到索引 - user_id: {user_id}, conversation_id: {conversation_id}, "
+                f"name: {conversation_name}"
             )
             
         except RuntimeError:
@@ -671,8 +689,10 @@ class CourseChatServiceV2:
                         "updated_at": time.time(),
                     }
                 
-                # 获取最后一条消息作为预览
+                # 获取历史消息
                 history = await self._get_conversation_history(conv_id)
+                
+                # 获取最后一条消息作为预览
                 last_message = ""
                 if history:
                     # 获取最后一条 assistant 消息
@@ -683,8 +703,21 @@ class CourseChatServiceV2:
                                 last_message += "..."
                             break
                 
+                # 获取会话名称
+                # 优先使用元数据中保存的名称，如果没有则从历史消息中提取
+                conversation_name = meta.get("name", "")
+                if not conversation_name and history:
+                    # 从第一条用户消息生成名称
+                    for msg in history:
+                        if msg["role"] == "user":
+                            conversation_name = msg["content"].replace('\n', ' ').strip()[:30]
+                            if len(msg["content"]) > 30:
+                                conversation_name += "..."
+                            break
+                
                 conversations.append({
                     "id": conv_id,
+                    "name": conversation_name,  # 添加会话名称字段
                     "course_id": meta.get("course_id"),
                     "created_at": meta.get("created_at"),
                     "updated_at": meta.get("updated_at"),

backend/app/services/ai/exam_generator_service.py

@@ -510,3 +510,8 @@ async def generate_exam(
 
 
 
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backend/app/services/ai/knowledge_analysis_v2.py

@@ -546,3 +546,8 @@ knowledge_analysis_service_v2 = KnowledgeAnalysisServiceV2()
 
 
 
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backend/app/services/ai/llm_json_parser.py

@@ -256,6 +256,16 @@ def _preprocess_text(text: str) -> str:
     # 移除零宽字符
     text = re.sub(r'[\u200b\u200c\u200d\ufeff]', '', text)
     
+    # 【重要】先替换中文标点为英文标点（在找边界之前做，否则中文引号会破坏边界检测）
+    cn_punctuation = {
+        '，': ',', '。': '.', '：': ':', '；': ';',
+        '"': '"', '"': '"', ''': "'", ''': "'",
+        '【': '[', '】': ']', '（': '(', '）': ')',
+        '｛': '{', '｝': '}',
+    }
+    for cn, en in cn_punctuation.items():
+        text = text.replace(cn, en)
+    
     # 提取 Markdown 代码块
     patterns = [
         r'```json\s*([\s\S]*?)\s*```',
@@ -705,3 +715,4 @@ def clean_llm_output(text: str) -> Tuple[str, List[str]]:
 
 
 
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backend/app/services/ai/practice_scene_service.py

@@ -377,3 +377,8 @@ async def prepare_practice_knowledge(
 
 
 
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backend/app/services/ai/prompts/ability_analysis_prompts.py

@@ -213,3 +213,8 @@ PRIORITY_LEVELS = ["high", "medium", "low"]
 
 
 
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backend/app/services/ai/prompts/answer_judge_prompts.py

@@ -46,3 +46,8 @@ INCORRECT_KEYWORDS = ["错误", "incorrect", "false", "no", "wrong", "不正确"
 
 
 
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backend/app/services/ai/prompts/course_chat_prompts.py

@@ -72,3 +72,8 @@ DEFAULT_TEMPERATURE = 0.7
 
 
 
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backend/app/services/ai/prompts/exam_generator_prompts.py

@@ -254,8 +254,11 @@ QUESTION_SCHEMA = {
                 "description": "知识点ID"
             },
             "correct": {
-                "type": "string",
-                "description": "正确答案"
+                "oneOf": [
+                    {"type": "string"},
+                    {"type": "array", "items": {"type": "string"}}
+                ],
+                "description": "正确答案（单选/判断/填空为字符串，多选为数组）"
             },
             "analysis": {
                 "type": "string",
@@ -298,3 +301,8 @@ MAX_DIFFICULTY_LEVEL = 5
 
 
 
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backend/app/services/ai/prompts/knowledge_analysis_prompts.py

@@ -146,3 +146,8 @@ DEFAULT_KNOWLEDGE_TYPE = "理论知识"
 
 
 
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backend/app/services/ai/prompts/practice_analysis_prompts.py

@@ -191,3 +191,8 @@ ANNOTATION_TAGS = [
 
 
 
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backend/app/services/ai/prompts/practice_scene_prompts.py

@@ -190,3 +190,8 @@ DEFAULT_DIFFICULTY = "intermediate"
 
 
 
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