diff --git a/src/plugins/models/utils_model.py b/src/plugins/models/utils_model.py index 54be3be3..dcb8358c 100644 --- a/src/plugins/models/utils_model.py +++ b/src/plugins/models/utils_model.py @@ -4,17 +4,20 @@ import requests import time from typing import Tuple, Union from nonebot import get_driver +from loguru import logger from ..chat.config import global_config + driver = get_driver() config = driver.config class LLM_request: - def __init__(self, model ,**kwargs): + def __init__(self, model, **kwargs): # 将大写的配置键转换为小写并从config中获取实际值 try: self.api_key = getattr(config, model["key"]) self.base_url = getattr(config, model["base_url"]) except AttributeError as e: + logger.error(f"配置错误：找不到对应的配置项 - {str(e)}") raise ValueError(f"配置错误：找不到对应的配置项 - {str(e)}") self.model_name = model["name"] self.params = kwargs @@ -35,6 +38,7 @@ class LLM_request: # 发送请求到完整的chat/completions端点 api_url = f"{self.base_url.rstrip('/')}/chat/completions" + logger.info(f"发送请求到URL: {api_url}") # 记录请求的URL max_retries = 3 base_wait_time = 15 @@ -45,7 +49,7 @@ class LLM_request: async with session.post(api_url, headers=headers, json=data) as response: if response.status == 429: wait_time = base_wait_time * (2 ** retry) # 指数退避 - print(f"遇到请求限制(429)，等待{wait_time}秒后重试...") + logger.warning(f"遇到请求限制(429)，等待{wait_time}秒后重试...") await asyncio.sleep(wait_time) continue @@ -61,11 +65,13 @@ class LLM_request: except Exception as e: if retry < max_retries - 1: # 如果还有重试机会 wait_time = base_wait_time * (2 ** retry) - print(f"[回复]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}") + logger.error(f"[回复]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}", exc_info=True) await asyncio.sleep(wait_time) else: + logger.critical(f"请求失败: {str(e)}", exc_info=True) return f"请求失败: {str(e)}", "" + logger.error("达到最大重试次数，请求仍然失败") return "达到最大重试次数，请求仍然失败", "" async def generate_response_for_image(self, prompt: str, image_base64: str) -> Tuple[str, str]: @@ -100,6 +106,7 @@ class LLM_request: # 发送请求到完整的chat/completions端点 api_url = f"{self.base_url.rstrip('/')}/chat/completions" + logger.info(f"发送请求到URL: {api_url}") # 记录请求的URL max_retries = 3 base_wait_time = 15 @@ -110,7 +117,7 @@ class LLM_request: async with session.post(api_url, headers=headers, json=data) as response: if response.status == 429: wait_time = base_wait_time * (2 ** retry) # 指数退避 - print(f"遇到请求限制(429)，等待{wait_time}秒后重试...") + logger.warning(f"遇到请求限制(429)，等待{wait_time}秒后重试...") await asyncio.sleep(wait_time) continue @@ -126,11 +133,13 @@ class LLM_request: except Exception as e: if retry < max_retries - 1: # 如果还有重试机会 wait_time = base_wait_time * (2 ** retry) - print(f"[image回复]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}") + logger.error(f"[image回复]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}", exc_info=True) await asyncio.sleep(wait_time) else: + logger.critical(f"请求失败: {str(e)}", exc_info=True) return f"请求失败: {str(e)}", "" + logger.error("达到最大重试次数，请求仍然失败") return "达到最大重试次数，请求仍然失败", "" def generate_response_for_image_sync(self, prompt: str, image_base64: str) -> Tuple[str, str]: @@ -165,6 +174,7 @@ class LLM_request: # 发送请求到完整的chat/completions端点 api_url = f"{self.base_url.rstrip('/')}/chat/completions" + logger.info(f"发送请求到URL: {api_url}") # 记录请求的URL max_retries = 2 base_wait_time = 6 @@ -174,8 +184,8 @@ class LLM_request: response = requests.post(api_url, headers=headers, json=data, timeout=30) if response.status_code == 429: - wait_time = base_wait_time * (2 ** retry) # 指数退避 - print(f"遇到请求限制(429)，等待{wait_time}秒后重试...") + wait_time = base_wait_time * (2 ** retry) + logger.warning(f"遇到请求限制(429)，等待{wait_time}秒后重试...") time.sleep(wait_time) continue @@ -191,11 +201,13 @@ class LLM_request: except Exception as e: if retry < max_retries - 1: # 如果还有重试机会 wait_time = base_wait_time * (2 ** retry) - print(f"[image_sync回复]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}") + logger.error(f"[image_sync回复]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}", exc_info=True) time.sleep(wait_time) else: + logger.critical(f"请求失败: {str(e)}", exc_info=True) return f"请求失败: {str(e)}", "" + logger.error("达到最大重试次数，请求仍然失败") return "达到最大重试次数，请求仍然失败", "" def get_embedding_sync(self, text: str, model: str = "BAAI/bge-m3") -> Union[list, None]: @@ -220,6 +232,7 @@ class LLM_request: } api_url = f"{self.base_url.rstrip('/')}/embeddings" + logger.info(f"发送请求到URL: {api_url}") # 记录请求的URL max_retries = 2 base_wait_time = 6 @@ -230,7 +243,7 @@ class LLM_request: if response.status_code == 429: wait_time = base_wait_time * (2 ** retry) - print(f"遇到请求限制(429)，等待{wait_time}秒后重试...") + logger.warning(f"遇到请求限制(429)，等待{wait_time}秒后重试...") time.sleep(wait_time) continue @@ -244,13 +257,13 @@ class LLM_request: except Exception as e: if retry < max_retries - 1: wait_time = base_wait_time * (2 ** retry) - print(f"[embedding_sync]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}") + logger.error(f"[embedding_sync]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}", exc_info=True) time.sleep(wait_time) else: - print(f"embedding请求失败: {str(e)}") + logger.critical(f"embedding请求失败: {str(e)}", exc_info=True) return None - print("达到最大重试次数，embedding请求仍然失败") + logger.error("达到最大重试次数，embedding请求仍然失败") return None async def get_embedding(self, text: str, model: str = "BAAI/bge-m3") -> Union[list, None]: @@ -275,6 +288,7 @@ class LLM_request: } api_url = f"{self.base_url.rstrip('/')}/embeddings" + logger.info(f"发送请求到URL: {api_url}") # 记录请求的URL max_retries = 3 base_wait_time = 15 @@ -285,7 +299,7 @@ class LLM_request: async with session.post(api_url, headers=headers, json=data) as response: if response.status == 429: wait_time = base_wait_time * (2 ** retry) - print(f"遇到请求限制(429)，等待{wait_time}秒后重试...") + logger.warning(f"遇到请求限制(429)，等待{wait_time}秒后重试...") await asyncio.sleep(wait_time) continue @@ -299,11 +313,11 @@ class LLM_request: except Exception as e: if retry < max_retries - 1: wait_time = base_wait_time * (2 ** retry) - print(f"[embedding]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}") + logger.error(f"[embedding]请求失败，等待{wait_time}秒后重试... 错误: {str(e)}", exc_info=True) await asyncio.sleep(wait_time) else: - print(f"embedding请求失败: {str(e)}") + logger.critical(f"embedding请求失败: {str(e)}", exc_info=True) return None - print("达到最大重试次数，embedding请求仍然失败") - return None + logger.error("达到最大重试次数，embedding请求仍然失败") + return None \ No newline at end of file