mirror of
https://github.com/snailyp/gemini-balance.git
synced 2026-06-01 13:49:49 +08:00
feat: 改进错误日志功能并优化应用初始化流程
本次提交主要包含以下更新:
- **错误日志页面增强**:
- 重构了 [`app/static/js/error_logs.js`](app/static/js/error_logs.js) 中的分页逻辑,将样式控制移至 CSS,简化了 JavaScript 代码。
- 更新了 [`app/templates/error_logs.html`](app/templates/error_logs.html) 中的分页样式,使其与 `keys_status.html` 保持一致,提升了视觉统一性。
- 在错误日志页面新增了“清空全部”按钮,方便用户一键清除所有错误记录。
- 调整了错误日志表格头部的文本颜色为白色,以改善深色主题下的可读性。
- **应用初始化与配置优化**:
- 调整了 [`app/config/config.py`](app/config/config.py) 中日志记录器的获取方式,确保在配置加载早期即可用。
- 在 [`app/core/application.py`](app/core/application.py) 中引入了更明确的数据库连接管理(连接、断开、初始化)逻辑。
- 优化了 [`app/utils/helpers.py`](app/utils/helpers.py) 中项目路径和版本文件路径的定义方式,使其在模块级别初始化。
- **依赖清理**:
- 从 [`requirements.txt`](requirements.txt) 中移除了不必要的注释。
这些更改旨在提升错误日志模块的用户体验和功能性,并优化应用程序的启动和配置管理流程。
This commit is contained in:
@@ -4,7 +4,6 @@
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from pathlib import Path
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from databases import Database
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from sqlalchemy import create_engine, MetaData
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# from sqlalchemy.orm import sessionmaker # 不再需要
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from sqlalchemy.ext.declarative import declarative_base
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from app.config.config import settings
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@@ -42,11 +42,12 @@ class ErrorLog(Base):
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def __repr__(self):
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return f"<ErrorLog(id='{self.id}', gemini_key='{self.gemini_key}')>"
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# 新增 RequestLog 模型
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class RequestLog(Base):
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"""
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API 请求日志表
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"""
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__tablename__ = "t_request_log"
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id = Column(Integer, primary_key=True, autoincrement=True)
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@@ -71,7 +71,7 @@ async def update_setting(key: str, value: str, description: Optional[str] = None
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.values(
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value=value,
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description=description if description else setting["description"],
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updated_at=datetime.now() # Use datetime.now()
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updated_at=datetime.now()
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)
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)
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await database.execute(query)
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@@ -85,8 +85,8 @@ async def update_setting(key: str, value: str, description: Optional[str] = None
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key=key,
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value=value,
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description=description,
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created_at=datetime.now(), # Use datetime.now()
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updated_at=datetime.now() # Use datetime.now()
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created_at=datetime.now(),
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updated_at=datetime.now()
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)
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)
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await database.execute(query)
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@@ -158,8 +158,8 @@ async def get_error_logs(
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error_code_search: Optional[str] = None,
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start_date: Optional[datetime] = None,
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end_date: Optional[datetime] = None,
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sort_by: str = 'id', # 新增排序字段
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sort_order: str = 'desc' # 新增排序顺序 ('asc' or 'desc')
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sort_by: str = 'id',
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sort_order: str = 'desc'
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) -> List[Dict[str, Any]]:
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"""
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获取错误日志,支持搜索、日期过滤和排序
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@@ -200,28 +200,20 @@ async def get_error_logs(
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if start_date:
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query = query.where(ErrorLog.request_time >= start_date)
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if end_date:
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# Use the datetime object directly for comparison
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query = query.where(ErrorLog.request_time < end_date)
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if error_code_search:
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try:
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# Attempt to convert search string to integer for exact match
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error_code_int = int(error_code_search)
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query = query.where(ErrorLog.error_code == error_code_int)
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except ValueError:
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# If conversion fails, log a warning and potentially skip this filter
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# or handle as needed (e.g., return no results for invalid code format)
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logger.warning(f"Invalid format for error_code_search: '{error_code_search}'. Expected an integer. Skipping error code filter.")
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# Optionally, force no results if the format is invalid:
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# query = query.where(False) # This ensures no rows are returned
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# 添加排序逻辑
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sort_column = getattr(ErrorLog, sort_by, ErrorLog.id) # 获取排序字段,默认为 id
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sort_column = getattr(ErrorLog, sort_by, ErrorLog.id)
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if sort_order.lower() == 'asc':
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query = query.order_by(asc(sort_column))
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else:
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query = query.order_by(desc(sort_column))
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# Apply limit and offset
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query = query.limit(limit).offset(offset)
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result = await database.fetch_all(query)
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@@ -254,7 +246,6 @@ async def get_error_logs_count(
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try:
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query = select(func.count()).select_from(ErrorLog)
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# Apply the same filters as get_error_logs
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if key_search:
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query = query.where(ErrorLog.gemini_key.ilike(f"%{key_search}%"))
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if error_search:
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@@ -265,23 +256,19 @@ async def get_error_logs_count(
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if start_date:
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query = query.where(ErrorLog.request_time >= start_date)
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if end_date:
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# Use the datetime object directly for comparison
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query = query.where(ErrorLog.request_time < end_date)
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if error_code_search:
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try:
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# Attempt to convert search string to integer for exact match
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error_code_int = int(error_code_search)
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query = query.where(ErrorLog.error_code == error_code_int)
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except ValueError:
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# If conversion fails, log a warning and potentially skip this filter
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logger.warning(f"Invalid format for error_code_search in count: '{error_code_search}'. Expected an integer. Skipping error code filter.")
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# Optionally, force count to 0 if the format is invalid:
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# return 0 # Or query = query.where(False) before fetching
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count_result = await database.fetch_one(query)
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return count_result[0] if count_result else 0
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except Exception as e:
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logger.exception(f"Failed to count error logs with filters: {str(e)}") # Use exception for stack trace
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logger.exception(f"Failed to count error logs with filters: {str(e)}")
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raise
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@@ -315,7 +302,6 @@ async def get_error_log_details(log_id: int) -> Optional[Dict[str, Any]]:
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logger.exception(f"Failed to get error log details for ID {log_id}: {str(e)}")
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raise
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# --- 异步删除函数 (使用 databases 库) ---
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async def delete_error_logs_by_ids(log_ids: List[int]) -> int:
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"""
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@@ -345,7 +331,7 @@ async def delete_error_logs_by_ids(log_ids: List[int]) -> int:
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except Exception as e:
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# 数据库连接或执行错误
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logger.error(f"Error during bulk deletion of error logs {log_ids}: {e}", exc_info=True)
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raise # Re-raise the exception for the router to handle
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raise
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async def delete_error_log_by_id(log_id: int) -> bool:
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"""
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@@ -364,7 +350,7 @@ async def delete_error_log_by_id(log_id: int) -> bool:
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if not exists:
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logger.warning(f"Attempted to delete non-existent error log with ID: {log_id}")
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return False # 或者可以抛出 404 异常,由路由处理
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return False
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# 执行删除
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delete_query = delete(ErrorLog).where(ErrorLog.id == log_id)
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@@ -373,9 +359,7 @@ async def delete_error_log_by_id(log_id: int) -> bool:
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return True
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except Exception as e:
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logger.error(f"Error deleting error log with ID {log_id}: {e}", exc_info=True)
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raise # Re-raise the exception for the router to handle
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# --- RequestLog Services (保持异步) ---
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raise
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# 新增函数:添加请求日志
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async def add_request_log(
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@@ -412,7 +396,6 @@ async def add_request_log(
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latency_ms=latency_ms
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)
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await database.execute(query)
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# logger.debug(f"Added request log: key={api_key[:4]}..., success={is_success}, model={model_name}") # Use debug level
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return True
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except Exception as e:
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logger.error(f"Failed to add request log: {str(e)}")
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