feat(error-logs): 增强错误日志功能和UI交互

- 新增错误码搜索功能，支持精确匹配错误码
- 重构复制功能，支持批量选择和复制密钥
- 优化UI布局和交互体验，添加悬停复制按钮
- 重构路由结构，将log_routes.py重命名为error_log_routes.py

app/router/error_log_routes.py

@@ -0,0 +1,128 @@
+"""
+日志路由模块
+"""
+from typing import List, Optional
+from datetime import datetime
+from pydantic import BaseModel
+from fastapi import APIRouter, HTTPException, Request, Query, Path
+
+from app.core.security import verify_auth_token
+from app.log.logger import get_log_routes_logger
+# 假设这些服务函数已更新或添加
+from app.database.services import get_error_logs, get_error_logs_count, get_error_log_details
+
+# 创建路由
+router = APIRouter(prefix="/api/logs", tags=["logs"])
+
+logger = get_log_routes_logger()
+
+
+# Define a response model that includes the total count for pagination
+# 用于列表响应的模型，假设 get_error_logs 返回包含 error_code 的字典
+class ErrorLogListItem(BaseModel):
+    id: int
+    gemini_key: Optional[str] = None
+    error_type: Optional[str] = None
+    error_code: Optional[int] = None # 列表显示错误码 (应为整数)
+    model_name: Optional[str] = None
+    request_time: Optional[datetime] = None
+
+class ErrorLogListResponse(BaseModel):
+    logs: List[ErrorLogListItem] # 使用定义的模型列表
+    total: int
+
+@router.get("/errors", response_model=ErrorLogListResponse)
+async def get_error_logs_api(
+    request: Request,
+    limit: int = Query(10, ge=1, le=1000),
+    offset: int = Query(0, ge=0),
+    key_search: Optional[str] = Query(None, description="Search term for Gemini key (partial match)"),
+    error_search: Optional[str] = Query(None, description="Search term for error type or log message"), # 数据库查询需处理
+    error_code_search: Optional[str] = Query(None, description="Search term for error code"), # Added error code search parameter
+    start_date: Optional[datetime] = Query(None, description="Start datetime for filtering"),
+    end_date: Optional[datetime] = Query(None, description="End datetime for filtering")
+):
+    """
+    获取错误日志列表 (返回错误码)
+
+    Args:
+        request: 请求对象
+        limit: 限制数量
+        offset: 偏移量
+        key_search: 密钥搜索
+        error_search: 错误搜索 (可能搜索类型或日志内容，由DB层决定)
+        error_code_search: 错误码搜索
+        start_date: 开始日期
+        end_date: 结束日期
+
+    Returns:
+        ErrorLogListResponse: An object containing the list of logs (with error_code) and the total count.
+    """
+    auth_token = request.cookies.get("auth_token")
+    if not auth_token or not verify_auth_token(auth_token):
+        logger.warning("Unauthorized access attempt to error logs list")
+        # API 返回 401 更合适
+        raise HTTPException(status_code=401, detail="Not authenticated")
+    
+    try:
+        # 假设 get_error_logs 现在返回包含 error_code 的字典列表
+        # 并且可以接受 include_error_code 参数 (如果需要显式指定)
+        logs_data = await get_error_logs(
+            limit=limit,
+            offset=offset,
+            key_search=key_search,
+            error_search=error_search, # 数据库查询需要处理这个
+            error_code_search=error_code_search, # Pass error code search to DB function
+            start_date=start_date,
+            end_date=end_date,
+        )
+        # Fetch total count with the same search parameters
+        total_count = await get_error_logs_count(
+            key_search=key_search,
+            error_search=error_search,
+            error_code_search=error_code_search, # Pass error code search to DB count function
+            start_date=start_date,
+            end_date=end_date
+        )
+        # 验证并转换数据以匹配 Pydantic 模型
+        validated_logs = [ErrorLogListItem(**log) for log in logs_data]
+        return ErrorLogListResponse(logs=validated_logs, total=total_count)
+    except Exception as e:
+        logger.exception(f"Failed to get error logs list: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Failed to get error logs list: {str(e)}")
+
+
+# 新增：获取错误日志详情的路由
+class ErrorLogDetailResponse(BaseModel):
+    id: int
+    gemini_key: Optional[str] = None
+    error_type: Optional[str] = None
+    error_log: Optional[str] = None # 详情接口返回完整的 error_log
+    request_msg: Optional[str] = None # 详情接口返回 request_msg
+    model_name: Optional[str] = None
+    request_time: Optional[datetime] = None
+
+@router.get("/errors/{log_id}/details", response_model=ErrorLogDetailResponse)
+async def get_error_log_detail_api(request: Request, log_id: int = Path(..., ge=1)):
+    """
+    根据日志 ID 获取错误日志的详细信息 (包括 error_log 和 request_msg)
+    """
+    auth_token = request.cookies.get("auth_token")
+    if not auth_token or not verify_auth_token(auth_token):
+        logger.warning(f"Unauthorized access attempt to error log details for ID: {log_id}")
+        raise HTTPException(status_code=401, detail="Not authenticated")
+
+    try:
+        # 假设存在一个函数 get_error_log_details(log_id) 来获取完整信息
+        log_details = await get_error_log_details(log_id=log_id)
+        if not log_details:
+            raise HTTPException(status_code=404, detail="Error log not found")
+
+        # 假设 get_error_log_details 返回一个字典或兼容 Pydantic 的对象
+        return ErrorLogDetailResponse(**log_details)
+    except HTTPException as http_exc:
+        # Re-raise HTTPException (like 404)
+        raise http_exc
+    except Exception as e:
+        logger.exception(f"Failed to get error log details for ID {log_id}: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Failed to get error log details: {str(e)}")