🚑 fix(llm_manager): 添加API请求重试机制，优化网络错误处理

llm_manager.py

@@ -1,7 +1,6 @@
 from typing import Optional
-
 import requests
-
+import time
 from config_manager import get_config_manager
 from logger_manager import get_logger
 
@@ -11,7 +10,6 @@ logger = get_logger()
 
 class LLMManager:
     """LLM管理器，负责加载API配置并提供与LLM交互的功能"""
-
     _instance = None  # 单例实例
 
     def __init__(self):
@@ -19,6 +17,7 @@ class LLMManager:
         self._api_base = None
         self._model = None
         self._temperature = None
+        self._config = None
 
     def __new__(cls):
         """实现单例模式"""
@@ -34,23 +33,23 @@ class LLMManager:
     def initialize(self):
         """初始化LLM配置"""
         llm_config = config_manager.get('llm', {})
-
         # 加载LLM配置
         self._api_key = llm_config.get('api_key', '')
         self._api_base = llm_config.get('api_base', 'https://api.openai.com/v1')
         self._model = llm_config.get('model', 'gpt-3.5-turbo')
         self._temperature = llm_config.get('temperature', 0.7)
-
+        self._config = llm_config
         if not self._api_key:
             logger.warning("警告: LLM API密钥未配置，请在config.yaml中设置。")
 
-    def chat(self, content: str, prompt: Optional[str] = None) -> str:
+    def chat(self, content: str, prompt: Optional[str] = None, max_retries: int = 5) -> str:
         """
-        与LLM进行对话
+        与LLM进行对话，包含自动重试机制
 
         Args:
             content: 用户输入内容
             prompt: 可选的系统提示词
+            max_retries: 最大重试次数，默认为5
 
         Returns:
             LLM的回复内容
@@ -67,7 +66,6 @@ class LLMManager:
         # 添加系统提示(如果有)
         if prompt:
             messages.append({"role": "system", "content": prompt})
-
         # 添加用户消息
         messages.append({"role": "user", "content": content})
 
@@ -79,17 +77,88 @@ class LLMManager:
 
         logger.debug(f"请求数据: {payload}")
 
+        # 实现重试机制
+        attempts = 0
+        last_exception = None
+
+        while attempts < max_retries:
+            try:
+                # 尝试直接不使用代理
+                if attempts > 0:
+                    logger.info(f"尝试不使用代理进行请求 (尝试 {attempts + 1}/{max_retries})")
                     response = requests.post(
                         f"{self._api_base}/chat/completions",
                         headers=headers,
-            json=payload
+                        json=payload,
+                        proxies=None,  # 明确不使用代理
+                        timeout=30  # 设置超时时间
+                    )
+                else:
+                    # 第一次尝试使用默认设置
+                    response = requests.post(
+                        f"{self._api_base}/chat/completions",
+                        headers=headers,
+                        json=payload,
+                        timeout=30  # 设置超时时间
                     )
 
-        if response.status_code != 200:
+                if response.status_code == 200:
-            logger.info(f"请求失败: {response.status_code}, {response.text}")
-            return "请求失败，请稍后再试。"
-
                     return response.json()["choices"][0]["message"]["content"]
+                elif response.status_code == 429:
+                    # 限流错误，需要等待更长时间
+                    logger.warning(
+                        f"API请求限流 (尝试 {attempts + 1}/{max_retries}): {response.status_code}, {response.text}")
+                    attempts += 1
+                    wait_time = 10 * (2 ** attempts)  # 指数退避：10s, 20s, 40s...
+                    logger.info(f"等待 {wait_time} 秒后重试...")
+                    time.sleep(wait_time)
+                else:
+                    # 其他服务器错误
+                    logger.warning(
+                        f"请求失败 (尝试 {attempts + 1}/{max_retries}): {response.status_code}, {response.text}")
+                    attempts += 1
+                    wait_time = 2 * (2 ** attempts)  # 指数退避：4s, 8s, 16s...
+                    logger.info(f"等待 {wait_time} 秒后重试...")
+                    time.sleep(wait_time)
+
+            except requests.exceptions.ProxyError as e:
+                # 代理错误处理
+                last_exception = e
+                attempts += 1
+                logger.warning(f"代理连接错误 (尝试 {attempts}/{max_retries}): {str(e)}")
+                if attempts >= max_retries:
+                    break
+                wait_time = 2 * attempts  # 线性退避：2s, 4s, 6s...
+                logger.info(f"等待 {wait_time} 秒后尝试不使用代理重试...")
+                time.sleep(wait_time)
+
+            except (requests.exceptions.ConnectionError,
+                    requests.exceptions.Timeout,
+                    requests.exceptions.ReadTimeout) as e:
+                # 连接错误和超时
+                last_exception = e
+                attempts += 1
+                logger.warning(f"连接错误或超时 (尝试 {attempts}/{max_retries}): {str(e)}")
+                if attempts >= max_retries:
+                    break
+                wait_time = 3 * (2 ** attempts)  # 指数退避：6s, 12s, 24s...
+                logger.info(f"等待 {wait_time} 秒后重试...")
+                time.sleep(wait_time)
+
+            except Exception as e:
+                # 其他未预期的错误
+                last_exception = e
+                attempts += 1
+                logger.error(f"未预期的错误 (尝试 {attempts}/{max_retries}): {str(e)}")
+                if attempts >= max_retries:
+                    break
+                wait_time = 2 * attempts  # 线性退避
+                logger.info(f"等待 {wait_time} 秒后重试...")
+                time.sleep(wait_time)
+
+        # 所有重试都失败后
+        logger.error(f"达到最大重试次数 ({max_retries})，请求失败。最后错误: {str(last_exception)}")
+        return f"抱歉，请求遇到网络问题，无法获取分析结果。请检查网络设置或稍后再试。\n错误信息: {str(last_exception)}"
 
 
 # 提供简单的访问函数