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fix(database): 修复decorators循环导入问题

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在cached装饰器中延迟导入get_cache，避免以下循环依赖:
decorators -> optimization.get_cache -> batch_scheduler -> session -> engine -> utils.exceptions

这个修复确保了所有装饰器可以正常导入和使用
This commit is contained in:
Windpicker-owo
2025-11-01 13:35:37 +08:00
parent 61de975d73
commit b58f69ec77
1 changed files with 3 additions and 1 deletions
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4
src/common/database/utils/decorators.py
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@@ -14,7 +14,6 @@ from typing import Any, Awaitable, Callable, Optional, TypeVar
from sqlalchemy.exc import DBAPIError, OperationalError, TimeoutError as SQLTimeoutError from sqlalchemy.exc import DBAPIError, OperationalError, TimeoutError as SQLTimeoutError
from src.common.database.optimization import get_cache
from src.common.logger import get_logger from src.common.logger import get_logger
logger = get_logger("database.decorators") logger = get_logger("database.decorators")
@@ -130,6 +129,9 @@ def cached(
def decorator(func: Callable[..., T]) -> Callable[..., T]: def decorator(func: Callable[..., T]) -> Callable[..., T]:
@functools.wraps(func) @functools.wraps(func)
async def wrapper(*args: Any, **kwargs: Any) -> T: async def wrapper(*args: Any, **kwargs: Any) -> T:
# 延迟导入避免循环依赖
from src.common.database.optimization import get_cache
# 生成缓存键 # 生成缓存键
cache_key_parts = [key_prefix or func.__name__] cache_key_parts = [key_prefix or func.__name__]