core/services/db.py

import logging
import sys
import math
import time
from typing import Any, Callable, Dict, TypeVar

from sqlalchemy import Column, Integer, create_engine, event
from sqlalchemy.engine import Engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import Session
from sqlalchemy.sql.schema import Table

from settings import DB_URL


# Настройка журнала
logging.basicConfig(level=logging.DEBUG)

# Создание обработчика журнала для записи сообщений в stdout
logger = logging.getLogger('sqlalchemy.profiler')
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setLevel(logging.DEBUG)
logger.addHandler(console_handler)

@event.listens_for(Engine, 'before_cursor_execute')
def before_cursor_execute(conn, cursor, statement, parameters, context, executemany):
    conn.info.setdefault('query_start_time', []).append(time.time())


@event.listens_for(Engine, 'after_cursor_execute')
def after_cursor_execute(conn, cursor, statement, parameters, context, executemany):
    total = time.time() - conn.info['query_start_time'].pop(-1)
    total = math.floor(total * 10000) / 10000
    if total > 25:
        logger.debug(f'Long running query: {statement}, Execution Time: {total} s')


engine = create_engine(DB_URL, echo=False, pool_size=10, max_overflow=20)
T = TypeVar('T')
REGISTRY: Dict[str, type] = {}
Base = declarative_base()


def local_session(src=''):
    return Session(bind=engine, expire_on_commit=False)


class Base(declarative_base()):
    __table__: Table
    __tablename__: str
    __new__: Callable
    __init__: Callable
    __allow_unmapped__ = True
    __abstract__ = True
    __table_args__ = {'extend_existing': True}

    id = Column(Integer, primary_key=True)

    def __init_subclass__(cls, **kwargs):
        REGISTRY[cls.__name__] = cls

    def dict(self) -> Dict[str, Any]:
        column_names = self.__table__.columns.keys()
        if '_sa_instance_state' in column_names:
            column_names.remove('_sa_instance_state')
        try:
            return {c: getattr(self, c) for c in column_names}
        except Exception as e:
            logger.error(f'Error occurred while converting object to dictionary: {e}')
            return {}

    def update(self, values: Dict[str, Any]) -> None:
        for key, value in values.items():
            if hasattr(self, key):
                setattr(self, key, value)