fix: 修复多个问题

- JSON解析器字符串状态追踪修复
- AI客户端流式响应异常处理
- 写作风格MultipleResultsFound错误
- 职业stages字段类型处理
- 章节分析任务状态同步
- 后台任务返回值修复

backend/app/services/ai_clients/anthropic_client.py

@@ -81,6 +81,21 @@ class AnthropicClient:
         if system_prompt:
             kwargs["system"] = system_prompt
 
-        async with self.client.messages.stream(**kwargs) as stream:
-            async for text in stream.text_stream:
-                yield text
+        try:
+            async with self.client.messages.stream(**kwargs) as stream:
+                try:
+                    async for text in stream.text_stream:
+                        yield text
+                except GeneratorExit:
+                    # 生成器被关闭，这是正常的清理过程
+                    logger.debug("Anthropic 流式响应生成器被关闭(GeneratorExit)")
+                    raise
+                except Exception as iter_error:
+                    logger.error(f"Anthropic 流式响应迭代出错: {str(iter_error)}")
+                    raise
+        except GeneratorExit:
+            # 重新抛出GeneratorExit，让调用方处理
+            raise
+        except Exception as e:
+            logger.error(f"Anthropic 流式请求出错: {str(e)}")
+            raise

backend/app/services/ai_clients/gemini_client.py

@@ -2,6 +2,9 @@
 from typing import Any, AsyncGenerator, Dict, List, Optional
 import httpx
 from app.services.ai_config import AIClientConfig, default_config
+from app.logger import get_logger
+
+logger = get_logger(__name__)
 
 
 class GeminiClient:
@@ -123,19 +126,34 @@ class GeminiClient:
         if system_prompt:
             payload["systemInstruction"] = {"parts": [{"text": system_prompt}]}
 
-        async with self.client.stream("POST", url, json=payload) as response:
-            response.raise_for_status()
-            async for line in response.aiter_lines():
-                if line.startswith("data: "):
-                    import json
-                    try:
-                        data = json.loads(line[6:])
-                        candidates = data.get("candidates", [])
-                        if candidates and len(candidates) > 0:
-                            parts = candidates[0].get("content", {}).get("parts", [])
-                            if parts and len(parts) > 0:
-                                text = parts[0].get("text", "")
-                                if text:
-                                    yield text
-                    except:
-                        continue
+        try:
+            async with self.client.stream("POST", url, json=payload) as response:
+                response.raise_for_status()
+                try:
+                    async for line in response.aiter_lines():
+                        if line.startswith("data: "):
+                            import json
+                            try:
+                                data = json.loads(line[6:])
+                                candidates = data.get("candidates", [])
+                                if candidates and len(candidates) > 0:
+                                    parts = candidates[0].get("content", {}).get("parts", [])
+                                    if parts and len(parts) > 0:
+                                        text = parts[0].get("text", "")
+                                        if text:
+                                            yield text
+                            except json.JSONDecodeError:
+                                continue
+                except GeneratorExit:
+                    # 生成器被关闭，这是正常的清理过程
+                    logger.debug("Gemini 流式响应生成器被关闭(GeneratorExit)")
+                    raise
+                except Exception as iter_error:
+                    logger.error(f"Gemini 流式响应迭代出错: {str(iter_error)}")
+                    raise
+        except GeneratorExit:
+            # 重新抛出GeneratorExit，让调用方处理
+            raise
+        except Exception as e:
+            logger.error(f"Gemini 流式请求出错: {str(e)}")
+            raise

backend/app/services/ai_clients/openai_client.py

@@ -60,7 +60,13 @@ class OpenAIClient(BaseAIClient):
         tool_choice: Optional[str] = None,
     ) -> Dict[str, Any]:
         payload = self._build_payload(messages, model, temperature, max_tokens, tools, tool_choice)
+        
+        logger.debug(f"📤 OpenAI 请求 payload: {json.dumps(payload, ensure_ascii=False, indent=2)}")
+        
         data = await self._request_with_retry("POST", "/chat/completions", payload)
+        
+        # 调试日志：输出原始响应
+        logger.debug(f"📥 OpenAI 原始响应: {json.dumps(data, ensure_ascii=False, indent=2)}")
 
         choices = data.get("choices", [])
         if not choices or len(choices) == 0:
@@ -83,19 +89,34 @@ class OpenAIClient(BaseAIClient):
     ) -> AsyncGenerator[str, None]:
         payload = self._build_payload(messages, model, temperature, max_tokens, stream=True)
         
-        async with await self._request_with_retry("POST", "/chat/completions", payload, stream=True) as response:
-            response.raise_for_status()
-            async for line in response.aiter_lines():
-                if line.startswith("data: "):
-                    data_str = line[6:]
-                    if data_str.strip() == "[DONE]":
-                        break
-                    try:
-                        data = json.loads(data_str)
-                        choices = data.get("choices", [])
-                        if choices and len(choices) > 0:
-                            content = choices[0].get("delta", {}).get("content", "")
-                            if content:
-                                yield content
-                    except json.JSONDecodeError:
-                        continue
+        try:
+            async with await self._request_with_retry("POST", "/chat/completions", payload, stream=True) as response:
+                response.raise_for_status()
+                try:
+                    async for line in response.aiter_lines():
+                        if line.startswith("data: "):
+                            data_str = line[6:]
+                            if data_str.strip() == "[DONE]":
+                                break
+                            try:
+                                data = json.loads(data_str)
+                                choices = data.get("choices", [])
+                                if choices and len(choices) > 0:
+                                    content = choices[0].get("delta", {}).get("content", "")
+                                    if content:
+                                        yield content
+                            except json.JSONDecodeError:
+                                continue
+                except GeneratorExit:
+                    # 生成器被关闭，这是正常的清理过程
+                    logger.debug("流式响应生成器被关闭(GeneratorExit)")
+                    raise
+                except Exception as iter_error:
+                    logger.error(f"流式响应迭代出错: {str(iter_error)}")
+                    raise
+        except GeneratorExit:
+            # 重新抛出GeneratorExit，让调用方处理
+            raise
+        except Exception as e:
+            logger.error(f"流式请求出错: {str(e)}")
+            raise