91 lines
3.2 KiB
Python
91 lines
3.2 KiB
Python
import math
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import time
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from functools import wraps
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from typing import Any, Callable, Dict, TypeVar
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from dogpile.cache import make_region
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from sqlalchemy import Column, Integer, create_engine, event
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from sqlalchemy.engine import Engine
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import Session
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from sqlalchemy.sql.schema import Table
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from services.logger import root_logger as logger
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from settings import DB_URL
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# Создание региона кэша с TTL 300 секунд
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cache_region = make_region().configure("dogpile.cache.memory", expiration_time=300)
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# Подключение к базе данных SQLAlchemy
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engine = create_engine(DB_URL, echo=False, pool_size=10, max_overflow=20)
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T = TypeVar("T")
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REGISTRY: Dict[str, type] = {}
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Base = declarative_base()
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# Перехватчики для журнала запросов SQLAlchemy
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@event.listens_for(Engine, 'before_cursor_execute')
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def before_cursor_execute(conn, cursor, statement, parameters, context, executemany):
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conn.info.setdefault('query_start_time', []).append(time.time())
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logger.debug(f"{statement}")
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@event.listens_for(Engine, 'after_cursor_execute')
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def after_cursor_execute(conn, cursor, statement, parameters, context, executemany):
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total = time.time() - conn.info['query_start_time'].pop(-1)
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stars = '*' * math.floor(total*1000)
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if stars:
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logger.debug(f' {stars} {total*1000} s')
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def local_session(src=""):
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return Session(bind=engine, expire_on_commit=False)
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class Base(declarative_base()):
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__table__: Table
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__tablename__: str
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__new__: Callable
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__init__: Callable
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__allow_unmapped__ = True
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__abstract__ = True
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__table_args__ = {"extend_existing": True}
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id = Column(Integer, primary_key=True)
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def __init_subclass__(cls, **kwargs):
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REGISTRY[cls.__name__] = cls
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def dict(self) -> Dict[str, Any]:
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column_names = self.__table__.columns.keys()
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if "_sa_instance_state" in column_names:
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column_names.remove("_sa_instance_state")
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try:
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return {c: getattr(self, c) for c in column_names}
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except Exception as e:
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logger.error(f"Error occurred while converting object to dictionary: {e}")
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return {}
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def update(self, values: Dict[str, Any]) -> None:
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for key, value in values.items():
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if hasattr(self, key):
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setattr(self, key, value)
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# Декоратор для кэширования методов
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def cache_method(cache_key: str):
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def decorator(f):
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@wraps(f)
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def decorated_function(*args, **kwargs):
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# Генерация ключа для кэширования
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key = cache_key.format(*args, **kwargs)
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# Получение значения из кэша
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result = cache_region.get(key)
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if result is None:
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# Если значение отсутствует в кэше, вызываем функцию и кэшируем результат
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result = f(*args, **kwargs)
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cache_region.set(key, result)
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return result
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return decorated_function
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return decorator
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