104 lines
3.5 KiB
Python
104 lines
3.5 KiB
Python
import json
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# import math
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# import time
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from typing import Any, Callable, Dict, TypeVar
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# from sqlalchemy import exc, event, Engine,
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from sqlalchemy import inspect, Column, Integer, create_engine, JSON
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import Session, configure_mappers
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from sqlalchemy.sql.schema import Table
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from sqlalchemy_searchable import make_searchable
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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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# import warnings
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import traceback
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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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inspector = inspect(engine)
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configure_mappers()
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T = TypeVar('T')
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REGISTRY: Dict[str, type] = {}
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FILTERED_FIELDS = [
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'_sa_instance_state',
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'search_vector'
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]
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# noinspection PyUnusedLocal
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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 = filter(lambda x: x not in FILTERED_FIELDS, self.__table__.columns.keys())
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try:
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data = {}
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for c in column_names:
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value = getattr(self, c)
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if isinstance(value, JSON):
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# save JSON column as dict
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data[c] = json.loads(str(value))
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else:
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data[c] = value
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# Add synthetic field .stat
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if hasattr(self, 'stat'):
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data['stat'] = self.stat
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return data
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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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make_searchable(Base.metadata)
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Base.metadata.create_all(bind=engine)
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# Функция для вывода полного трейсбека при предупреждениях
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def warning_with_traceback(message: Warning | str, category, filename: str, lineno: int, file=None, line=None):
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tb = traceback.format_stack()
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tb_str = ''.join(tb)
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return f'{message} ({filename}, {lineno}): {category.__name__}\n{tb_str}'
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# Установка функции вывода трейсбека для предупреждений SQLAlchemy
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# warnings.showwarning = warning_with_traceback
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# warnings.simplefilter('always', exc.SAWarning)
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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.query_start_time = time.time()
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# noinspection PyUnusedLocal
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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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# if hasattr(conn, '_query_start_time'):
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# elapsed = time.time() - conn.query_start_time
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# conn.query_start_time = None
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# query = f'{statement}'.replace('\n', ' ')
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# logger.debug(f"\n{query}\n{'*' * math.floor(elapsed)} {elapsed:.3f} s\n")
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