mirror of
https://github.com/snailyp/gemini-balance.git
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snaily
69261e98de
- 在后端 (`services.py`, `log_routes.py`) 实现按 Gemini 密钥（模糊匹配）、错误类型/内容（模糊匹配）和日期范围（开始/结束日期）过滤错误日志的逻辑。
- 添加新函数 `get_error_logs_count` 以高效获取符合过滤条件的总日志数，用于分页。
- 更新 `/api/logs/errors` API 端点以接受 `key_search`, `error_search`, `start_date`, `end_date` 查询参数。端点现在返回包含过滤后日志和总数的对象。
- 增强前端 (`error_logs.html`, `error_logs.js`, `error_logs.css`)：
- 添加用于密钥搜索、错误/日志搜索和日期范围选择的输入字段。
- 实现 JavaScript 逻辑以捕获搜索参数，使用过滤器触发 API 调用，并在新搜索时重置到第一页。
- 更新表格渲染以显示顺序行号而非数据库 ID。
- 在表格视图中遮罩 Gemini 密钥（显示前/后 4 个字符）以提高可读性，同时仍在详细信息模态框中显示完整密钥。
- 优化新搜索控件、表格外观（内边距、边框、悬停效果、斑马条纹）和按钮样式的 CSS，以提供更清晰的用户界面。
- 通过使用 `logger.exception` 包含堆栈跟踪来改进后端服务中的错误日志记录。
72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
"""
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日志路由模块
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"""
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from typing import Any, Dict, List, Optional
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from datetime import date
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from pydantic import BaseModel
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from fastapi import APIRouter, HTTPException, Request, Query
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from fastapi.responses import RedirectResponse
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from app.core.security import verify_auth_token
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from app.log.logger import get_log_routes_logger
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from app.database.services import get_error_logs, get_error_logs_count
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# 创建路由
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router = APIRouter(prefix="/api/logs", tags=["logs"])
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logger = get_log_routes_logger()
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# Define a response model that includes the total count for pagination
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class ErrorLogResponse(BaseModel):
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logs: List[Dict[str, Any]]
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total: int
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@router.get("/errors", response_model=ErrorLogResponse)
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async def get_error_logs_api(
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request: Request,
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limit: int = Query(20, ge=1, le=1000), # Default to 20 to match frontend
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offset: int = Query(0, ge=0),
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key_search: Optional[str] = Query(None, description="Search term for Gemini key (partial match)"),
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error_search: Optional[str] = Query(None, description="Search term for error type or log message"),
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start_date: Optional[date] = Query(None, description="Start date for filtering (YYYY-MM-DD)"),
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end_date: Optional[date] = Query(None, description="End date for filtering (YYYY-MM-DD)")
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):
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"""
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获取错误日志
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Args:
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request: 请求对象
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limit: 限制数量
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offset: 偏移量
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Returns:
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ErrorLogResponse: An object containing the list of logs and the total count.
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"""
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auth_token = request.cookies.get("auth_token")
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if not auth_token or not verify_auth_token(auth_token):
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logger.warning("Unauthorized access attempt to error logs")
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return RedirectResponse(url="/", status_code=302)
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try:
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# Fetch logs with search parameters
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logs = await get_error_logs(
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limit=limit,
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offset=offset,
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key_search=key_search,
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error_search=error_search,
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start_date=start_date,
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end_date=end_date
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)
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# Fetch total count with the same search parameters
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total_count = await get_error_logs_count(
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key_search=key_search,
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error_search=error_search,
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start_date=start_date,
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end_date=end_date
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)
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return ErrorLogResponse(logs=logs, total=total_count)
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except Exception as e:
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logger.exception(f"Failed to get error logs: {str(e)}") # Use logger.exception for stack trace
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raise HTTPException(status_code=500, detail=f"Failed to get error logs: {str(e)}")
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