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:
snaily
2025-05-14 14:25:04 +08:00
parent 67f87989db
commit 4becc8d4d4
27 changed files with 1116 additions and 1000 deletions

View File

@@ -4,7 +4,6 @@
from pathlib import Path
from databases import Database
from sqlalchemy import create_engine, MetaData
# from sqlalchemy.orm import sessionmaker # 不再需要
from sqlalchemy.ext.declarative import declarative_base
from app.config.config import settings

View File

@@ -42,11 +42,12 @@ class ErrorLog(Base):
def __repr__(self):
return f"<ErrorLog(id='{self.id}', gemini_key='{self.gemini_key}')>"
# 新增 RequestLog 模型
class RequestLog(Base):
"""
API 请求日志表
"""
__tablename__ = "t_request_log"
id = Column(Integer, primary_key=True, autoincrement=True)

View File

@@ -71,7 +71,7 @@ async def update_setting(key: str, value: str, description: Optional[str] = None
.values(
value=value,
description=description if description else setting["description"],
updated_at=datetime.now() # Use datetime.now()
updated_at=datetime.now()
)
)
await database.execute(query)
@@ -85,8 +85,8 @@ async def update_setting(key: str, value: str, description: Optional[str] = None
key=key,
value=value,
description=description,
created_at=datetime.now(), # Use datetime.now()
updated_at=datetime.now() # Use datetime.now()
created_at=datetime.now(),
updated_at=datetime.now()
)
)
await database.execute(query)
@@ -158,8 +158,8 @@ async def get_error_logs(
error_code_search: Optional[str] = None,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None,
sort_by: str = 'id', # 新增排序字段
sort_order: str = 'desc' # 新增排序顺序 ('asc' or 'desc')
sort_by: str = 'id',
sort_order: str = 'desc'
) -> List[Dict[str, Any]]:
"""
获取错误日志,支持搜索、日期过滤和排序
@@ -200,28 +200,20 @@ async def get_error_logs(
if start_date:
query = query.where(ErrorLog.request_time >= start_date)
if end_date:
# Use the datetime object directly for comparison
query = query.where(ErrorLog.request_time < end_date)
if error_code_search:
try:
# Attempt to convert search string to integer for exact match
error_code_int = int(error_code_search)
query = query.where(ErrorLog.error_code == error_code_int)
except ValueError:
# If conversion fails, log a warning and potentially skip this filter
# or handle as needed (e.g., return no results for invalid code format)
logger.warning(f"Invalid format for error_code_search: '{error_code_search}'. Expected an integer. Skipping error code filter.")
# Optionally, force no results if the format is invalid:
# query = query.where(False) # This ensures no rows are returned
# 添加排序逻辑
sort_column = getattr(ErrorLog, sort_by, ErrorLog.id) # 获取排序字段,默认为 id
sort_column = getattr(ErrorLog, sort_by, ErrorLog.id)
if sort_order.lower() == 'asc':
query = query.order_by(asc(sort_column))
else:
query = query.order_by(desc(sort_column))
# Apply limit and offset
query = query.limit(limit).offset(offset)
result = await database.fetch_all(query)
@@ -254,7 +246,6 @@ async def get_error_logs_count(
try:
query = select(func.count()).select_from(ErrorLog)
# Apply the same filters as get_error_logs
if key_search:
query = query.where(ErrorLog.gemini_key.ilike(f"%{key_search}%"))
if error_search:
@@ -265,23 +256,19 @@ async def get_error_logs_count(
if start_date:
query = query.where(ErrorLog.request_time >= start_date)
if end_date:
# Use the datetime object directly for comparison
query = query.where(ErrorLog.request_time < end_date)
if error_code_search:
try:
# Attempt to convert search string to integer for exact match
error_code_int = int(error_code_search)
query = query.where(ErrorLog.error_code == error_code_int)
except ValueError:
# If conversion fails, log a warning and potentially skip this filter
logger.warning(f"Invalid format for error_code_search in count: '{error_code_search}'. Expected an integer. Skipping error code filter.")
# Optionally, force count to 0 if the format is invalid:
# return 0 # Or query = query.where(False) before fetching
count_result = await database.fetch_one(query)
return count_result[0] if count_result else 0
except Exception as e:
logger.exception(f"Failed to count error logs with filters: {str(e)}") # Use exception for stack trace
logger.exception(f"Failed to count error logs with filters: {str(e)}")
raise
@@ -315,7 +302,6 @@ async def get_error_log_details(log_id: int) -> Optional[Dict[str, Any]]:
logger.exception(f"Failed to get error log details for ID {log_id}: {str(e)}")
raise
# --- 异步删除函数 (使用 databases 库) ---
async def delete_error_logs_by_ids(log_ids: List[int]) -> int:
"""
@@ -345,7 +331,7 @@ async def delete_error_logs_by_ids(log_ids: List[int]) -> int:
except Exception as e:
# 数据库连接或执行错误
logger.error(f"Error during bulk deletion of error logs {log_ids}: {e}", exc_info=True)
raise # Re-raise the exception for the router to handle
raise
async def delete_error_log_by_id(log_id: int) -> bool:
"""
@@ -364,7 +350,7 @@ async def delete_error_log_by_id(log_id: int) -> bool:
if not exists:
logger.warning(f"Attempted to delete non-existent error log with ID: {log_id}")
return False # 或者可以抛出 404 异常,由路由处理
return False
# 执行删除
delete_query = delete(ErrorLog).where(ErrorLog.id == log_id)
@@ -373,9 +359,7 @@ async def delete_error_log_by_id(log_id: int) -> bool:
return True
except Exception as e:
logger.error(f"Error deleting error log with ID {log_id}: {e}", exc_info=True)
raise # Re-raise the exception for the router to handle
# --- RequestLog Services (保持异步) ---
raise
# 新增函数:添加请求日志
async def add_request_log(
@@ -412,7 +396,6 @@ async def add_request_log(
latency_ms=latency_ms
)
await database.execute(query)
# logger.debug(f"Added request log: key={api_key[:4]}..., success={is_success}, model={model_name}") # Use debug level
return True
except Exception as e:
logger.error(f"Failed to add request log: {str(e)}")