fix(api): 统一错误日志时间戳并传递 request_datetime

- 统一 add_error_log 的 request_time：优先使用 request_datetime，
  否则使用 datetime.now()，去除 timezone.utc，避免与请求日志时区不一致
- 在 Gemini/OpenAI/Vertex/Embedding 等服务的异常处理处补充传入
  request_datetime，使错误日志与请求日志可一一对应
- stats: 移除失败记录的错误日志时间窗匹配与 error_log_id 附带，降低查询开销
  与误关联风险；建议通过统一时间戳（key + request_time）或独立错误日志
  查询接口完成关联
- 调整部分导入顺序与长行换行等代码风格，无功能改动

BREAKING CHANGE: 统计详情接口不再返回 error_log_id 字段。需要关联错误日志的
客户端请改为基于 key 与 request_time 在错误日志接口中检索。

app/service/openai_compatiable/openai_compatiable_service.py

@@ -1,4 +1,3 @@
-
 import datetime
 import json
 import re
@@ -11,20 +10,21 @@ from app.database.services import (
     add_request_log,
 )
 from app.domain.openai_models import ChatRequest, ImageGenerationRequest
+from app.log.logger import get_openai_compatible_logger
 from app.service.client.api_client import OpenaiApiClient
 from app.service.key.key_manager import KeyManager
 from app.utils.helpers import redact_key_for_logging
-from app.log.logger import get_openai_compatible_logger
 
 logger = get_openai_compatible_logger()
 
+
 class OpenAICompatiableService:
 
     def __init__(self, base_url: str, key_manager: KeyManager = None):
         self.key_manager = key_manager
         self.base_url = base_url
         self.api_client = OpenaiApiClient(base_url, settings.TIME_OUT)
-        
+
     async def get_models(self, api_key: str) -> Dict[str, Any]:
         return await self.api_client.get_models(api_key)
 
@@ -37,10 +37,12 @@ class OpenAICompatiableService:
         request_dict = request.model_dump()
         # 移除值为null的
         request_dict = {k: v for k, v in request_dict.items() if v is not None}
-        del request_dict["top_k"] # 删除top_k参数，目前不支持该参数
+        del request_dict["top_k"]  # 删除top_k参数，目前不支持该参数
         if request.stream:
             return self._handle_stream_completion(request.model, request_dict, api_key)
-        return await self._handle_normal_completion(request.model, request_dict, api_key)
+        return await self._handle_normal_completion(
+            request.model, request_dict, api_key
+        )
 
     async def generate_images(
         self,
@@ -153,6 +155,7 @@ class OpenAICompatiableService:
                     error_log=error_log_msg,
                     error_code=status_code,
                     request_msg=payload,
+                    request_datetime=request_datetime,
                 )
 
                 if self.key_manager:
@@ -160,15 +163,17 @@ class OpenAICompatiableService:
                         current_attempt_key, retries
                     )
                     if api_key:
-                        logger.info(f"Switched to new API key: {redact_key_for_logging(api_key)}")
+                        logger.info(
+                            f"Switched to new API key: {redact_key_for_logging(api_key)}"
+                        )
                     else:
                         logger.error(
                             f"No valid API key available after {retries} retries."
                         )
-                        break 
+                        break
                 else:
                     logger.error("KeyManager not available for retry logic.")
-                    break 
+                    break
 
                 if retries >= max_retries:
                     logger.error(f"Max retries ({max_retries}) reached for streaming.")
@@ -187,5 +192,3 @@ class OpenAICompatiableService:
                 if not is_success and retries >= max_retries:
                     yield f"data: {json.dumps({'error': 'Streaming failed after retries'})}\n\n"
                     yield "data: [DONE]\n\n"
-                    
-