mirror of
https://github.com/BEDOLAGA-DEV/remnawave-bedolaga-telegram-bot.git
synced 2026-01-20 11:50:27 +00:00
378 lines
14 KiB
Python
378 lines
14 KiB
Python
import logging
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from typing import AsyncGenerator, Optional
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from contextlib import asynccontextmanager
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from sqlalchemy.ext.asyncio import (
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AsyncSession,
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create_async_engine,
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async_sessionmaker,
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AsyncEngine
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)
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from sqlalchemy.pool import NullPool, AsyncAdaptedQueuePool
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from sqlalchemy import event, text, bindparam
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from sqlalchemy.engine import Engine
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import time
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from app.config import settings
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from app.database.models import Base
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logger = logging.getLogger(__name__)
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# ============================================================================
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# PRODUCTION-GRADE CONNECTION POOLING
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# ============================================================================
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if settings.get_database_url().startswith("sqlite"):
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poolclass = NullPool
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pool_kwargs = {}
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else:
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poolclass = AsyncAdaptedQueuePool
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pool_kwargs = {
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"pool_size": 20,
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"max_overflow": 30,
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"pool_timeout": 30,
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"pool_recycle": 3600,
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"pool_pre_ping": True,
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# 🔥 Агрессивная очистка мертвых соединений
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"pool_reset_on_return": "rollback",
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}
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# ============================================================================
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# ENGINE WITH ADVANCED OPTIMIZATIONS
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# ============================================================================
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engine = create_async_engine(
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settings.get_database_url(),
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poolclass=poolclass,
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echo=settings.DEBUG,
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future=True,
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**pool_kwargs,
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connect_args={
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"server_settings": {
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"application_name": "remnawave_bot",
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"jit": "on",
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"statement_timeout": "60000", # 60 секунд
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"idle_in_transaction_session_timeout": "300000", # 5 минут
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},
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"command_timeout": 60,
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"timeout": 10,
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} if not settings.get_database_url().startswith("sqlite") else {},
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execution_options={
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"isolation_level": "READ COMMITTED", # Оптимальный для большинства случаев
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"compiled_cache_size": 500, # Кеш скомпилированных запросов
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}
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)
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# ============================================================================
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# SESSION FACTORY WITH OPTIMIZATIONS
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# ============================================================================
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AsyncSessionLocal = async_sessionmaker(
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bind=engine,
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class_=AsyncSession,
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expire_on_commit=False,
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autoflush=False, # 🔥 Критично для производительности
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autocommit=False,
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)
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# ============================================================================
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# QUERY PERFORMANCE MONITORING
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# ============================================================================
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if settings.DEBUG:
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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"🔍 Executing query: {statement[:100]}...")
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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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if total > 0.1: # Логируем медленные запросы > 100ms
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logger.warning(f"🐌 Slow query ({total:.3f}s): {statement[:100]}...")
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else:
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logger.debug(f"⚡ Query executed in {total:.3f}s")
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# ============================================================================
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# ADVANCED SESSION MANAGER WITH READ REPLICAS
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# ============================================================================
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class DatabaseManager:
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"""Продвинутый менеджер БД с поддержкой реплик и кеширования"""
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def __init__(self):
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self.engine = engine
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self.read_replica_engine: Optional[AsyncEngine] = None
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if hasattr(settings, 'DATABASE_READ_REPLICA_URL') and settings.DATABASE_READ_REPLICA_URL:
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self.read_replica_engine = create_async_engine(
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settings.DATABASE_READ_REPLICA_URL,
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poolclass=poolclass,
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pool_size=30, # Больше для read операций
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max_overflow=50,
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pool_pre_ping=True,
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echo=False,
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)
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@asynccontextmanager
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async def session(self, read_only: bool = False):
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target_engine = self.read_replica_engine if (read_only and self.read_replica_engine) else self.engine
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async_session = async_sessionmaker(
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bind=target_engine,
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class_=AsyncSession,
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expire_on_commit=False,
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autoflush=False,
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)
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async with async_session() as session:
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try:
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yield session
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if not read_only:
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await session.commit()
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except Exception:
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await session.rollback()
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raise
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async def health_check(self) -> dict:
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pool = self.engine.pool
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try:
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async with AsyncSessionLocal() as session:
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start = time.time()
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await session.execute(text("SELECT 1"))
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latency = (time.time() - start) * 1000
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status = "healthy"
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except Exception as e:
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logger.error(f"❌ Database health check failed: {e}")
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status = "unhealthy"
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latency = None
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return {
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"status": status,
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"latency_ms": round(latency, 2) if latency else None,
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"pool": _collect_health_pool_metrics(pool),
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}
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db_manager = DatabaseManager()
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# ============================================================================
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# SESSION DEPENDENCY FOR FASTAPI/AIOGRAM
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# ============================================================================
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async def get_db() -> AsyncGenerator[AsyncSession, None]:
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"""Стандартная dependency для FastAPI"""
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async with AsyncSessionLocal() as session:
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try:
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yield session
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await session.commit()
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except Exception:
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await session.rollback()
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raise
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async def get_db_read_only() -> AsyncGenerator[AsyncSession, None]:
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"""Read-only dependency для тяжелых SELECT запросов"""
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async with db_manager.session(read_only=True) as session:
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yield session
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# ============================================================================
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# BATCH OPERATIONS FOR PERFORMANCE
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# ============================================================================
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class BatchOperations:
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"""Утилиты для массовых операций"""
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@staticmethod
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async def bulk_insert(session: AsyncSession, model, data: list[dict], chunk_size: int = 1000):
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"""Массовая вставка с чанками"""
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for i in range(0, len(data), chunk_size):
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chunk = data[i:i + chunk_size]
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session.add_all([model(**item) for item in chunk])
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await session.flush()
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await session.commit()
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@staticmethod
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async def bulk_update(session: AsyncSession, model, data: list[dict], chunk_size: int = 1000):
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"""Массовое обновление с чанками"""
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if not data:
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return
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primary_keys = [column.name for column in model.__table__.primary_key.columns]
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if not primary_keys:
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raise ValueError("Model must have a primary key for bulk_update")
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updatable_columns = [
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column.name
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for column in model.__table__.columns
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if column.name not in primary_keys
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]
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if not updatable_columns:
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raise ValueError("No columns available for update in bulk_update")
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stmt = (
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model.__table__.update()
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.where(
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*[
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getattr(model.__table__.c, pk) == bindparam(pk)
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for pk in primary_keys
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]
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)
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.values(
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**{
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column: bindparam(column, required=False)
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for column in updatable_columns
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}
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)
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)
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for i in range(0, len(data), chunk_size):
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chunk = data[i:i + chunk_size]
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filtered_chunk = []
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for item in chunk:
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missing_keys = [pk for pk in primary_keys if pk not in item]
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if missing_keys:
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raise ValueError(
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f"Missing primary key values {missing_keys} for bulk_update"
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)
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filtered_item = {
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key: value
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for key, value in item.items()
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if key in primary_keys or key in updatable_columns
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}
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filtered_chunk.append(filtered_item)
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await session.execute(stmt, filtered_chunk)
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await session.commit()
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batch_ops = BatchOperations()
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# ============================================================================
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# INITIALIZATION AND CLEANUP
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# ============================================================================
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async def init_db():
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"""Инициализация БД с оптимизациями"""
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logger.info("🚀 Создание таблиц базы данных...")
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async with engine.begin() as conn:
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await conn.run_sync(Base.metadata.create_all)
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if not settings.get_database_url().startswith("sqlite"):
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logger.info("📊 Создание индексов для оптимизации...")
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indexes = [
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"CREATE INDEX IF NOT EXISTS idx_users_telegram_id ON users(telegram_id)",
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"CREATE INDEX IF NOT EXISTS idx_subscriptions_user_id ON subscriptions(user_id)",
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"CREATE INDEX IF NOT EXISTS idx_subscriptions_status ON subscriptions(status) WHERE status = 'active'",
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"CREATE INDEX IF NOT EXISTS idx_payments_created_at ON payments(created_at DESC)",
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]
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for index_sql in indexes:
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try:
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await conn.execute(text(index_sql))
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except Exception as e:
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logger.debug(f"Index creation skipped: {e}")
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logger.info("✅ База данных успешно инициализирована")
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health = await db_manager.health_check()
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logger.info(f"📊 Database health: {health}")
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async def close_db():
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"""Корректное закрытие всех соединений"""
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logger.info("🔄 Закрытие соединений с БД...")
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await engine.dispose()
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if db_manager.read_replica_engine:
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await db_manager.read_replica_engine.dispose()
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logger.info("✅ Все подключения к базе данных закрыты")
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# ============================================================================
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# CONNECTION POOL METRICS (для мониторинга)
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# ============================================================================
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def _pool_counters(pool):
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"""Return basic pool counters or ``None`` when unsupported."""
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required_methods = ("size", "checkedin", "checkedout", "overflow")
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for method_name in required_methods:
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method = getattr(pool, method_name, None)
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if method is None or not callable(method):
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return None
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size = pool.size()
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checked_in = pool.checkedin()
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checked_out = pool.checkedout()
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overflow = pool.overflow()
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total_connections = size + overflow
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return {
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"size": size,
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"checked_in": checked_in,
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"checked_out": checked_out,
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"overflow": overflow,
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"total_connections": total_connections,
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"utilization_percent": (checked_out / total_connections * 100) if total_connections else 0.0,
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}
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def _collect_health_pool_metrics(pool) -> dict:
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counters = _pool_counters(pool)
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if counters is None:
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return {
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"metrics_available": False,
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"size": 0,
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"checked_in": 0,
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"checked_out": 0,
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"overflow": 0,
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"total_connections": 0,
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"utilization": "0.0%",
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}
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return {
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"metrics_available": True,
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"size": counters["size"],
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"checked_in": counters["checked_in"],
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"checked_out": counters["checked_out"],
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"overflow": counters["overflow"],
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"total_connections": counters["total_connections"],
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"utilization": f"{counters['utilization_percent']:.1f}%",
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}
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async def get_pool_metrics() -> dict:
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"""Детальные метрики пула для Prometheus/Grafana"""
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pool = engine.pool
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counters = _pool_counters(pool)
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if counters is None:
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return {
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"metrics_available": False,
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"pool_size": 0,
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"checked_in_connections": 0,
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"checked_out_connections": 0,
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"overflow_connections": 0,
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"total_connections": 0,
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"max_possible_connections": 0,
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"pool_utilization_percent": 0.0,
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}
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return {
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"metrics_available": True,
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"pool_size": counters["size"],
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"checked_in_connections": counters["checked_in"],
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"checked_out_connections": counters["checked_out"],
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"overflow_connections": counters["overflow"],
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"total_connections": counters["total_connections"],
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"max_possible_connections": counters["total_connections"] + (getattr(pool, "_max_overflow", 0) or 0),
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"pool_utilization_percent": round(counters["utilization_percent"], 2),
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}
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