db-retry 0.4.1

PostgreSQL and SQLAlchemy Tools

db-retry

A Python library providing robust retry mechanisms, connection utilities, and transaction helpers for PostgreSQL and SQLAlchemy applications.

Features

• Retry Decorators: Automatic retry logic for transient database errors
• Connection Factories: Robust connection handling with multi-host support
• DSN Utilities: Flexible Data Source Name parsing and manipulation
• Transaction Helpers: Simplified transaction management with automatic cleanup

Installation

Using uv

uv add db-retry

Using pip

pip install db-retry

ORM-Based Usage Examples

1. Database Operations with Automatic Retry

Protect your database operations from transient failures using ORM models:

import asyncio
import sqlalchemy as sa
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
from db_retry import postgres_retry


class User(DeclarativeBase):
    __tablename__ = "users"

    id: Mapped[int] = mapped_column(primary_key=True)
    name: Mapped[str] = mapped_column(sa.String())
    email: Mapped[str] = mapped_column(sa.String(), index=True)


# Apply retry logic to ORM operations (uses DB_RETRY_RETRIES_NUMBER, default 3)
@postgres_retry
async def get_user_by_email(session: AsyncSession, email: str) -> User:
    return await session.scalar(
        sa.select(User).where(User.email == email)
    )


async def main():
    engine = create_async_engine("postgresql+asyncpg://user:pass@localhost/mydb")
    async with AsyncSession(engine) as session:
        # Automatically retries on connection failures or serialization errors
        user = await get_user_by_email(session, "[e-mail]")
        if user:
            print(f"Found user: {user.name}")


asyncio.run(main())

Per-callsite retry count override:

@postgres_retry(retries=5)
async def create_order(session: AsyncSession, order: Order) -> Order:
    ...

2. High Availability Database Connections

Set up resilient database connections with multiple fallback hosts:

import sqlalchemy as sa
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
from db_retry import build_connection_factory, build_db_dsn

# Configure multiple database hosts for high availability
multi_host_dsn = (
    "postgresql://user:password@/"
    "myapp_db?"
    "host=primary-db:5432&"
    "host=secondary-db:5432&"
    "host=backup-db:5432"
)

# Build production-ready DSN
dsn = build_db_dsn(
    db_dsn=multi_host_dsn,
    database_name="production_database",
    drivername="postgresql+asyncpg"
)

# Create connection factory with timeout
connection_factory = build_connection_factory(
    url=dsn,
    timeout=5.0  # 5 second connection timeout
)

# Engine will automatically try different hosts on failure
engine = create_async_engine(dsn, async_creator=connection_factory)

3. Simplified Transaction Management

Handle database transactions with automatic cleanup using ORM:

import dataclasses
import datetime
import typing

from schemas import AnalyticsEventCreate, AnalyticsEvent
from db_retry import Transaction, postgres_retry

from your_service_name.database.tables import EventsTable
from your_service_name.producers.analytics_service_events_producer import AnalyticsEventsProducer
from your_service_name.repositories.events_repository import EventsRepository
from your_service_name.settings import settings


@dataclasses.dataclass(kw_only=True, frozen=True, slots=True)
class CreateEventUseCase:
    events_repository: EventsRepository
    transaction: Transaction
    analytics_events_producer: AnalyticsEventsProducer

    @postgres_retry
    async def __call__(
            self,
            event_create_data: AnalyticsEventCreate,
    ) -> AnalyticsEvent:
        async with self.transaction:
            model: typing.Final = EventsTable(
                **event_create_data.model_dump(),
                created_at=datetime.datetime.now(tz=settings.common.default_timezone),
            )
            saved_event: typing.Final[EventsTable] = await self.events_repository.create(model)
            event: typing.Final = AnalyticsEvent.model_validate(saved_event)
            await self.analytics_events_producer.send_message(event)
            await self.transaction.commit()
            return event

4. Serializable Transactions for Consistency

Use serializable isolation level to prevent race conditions with ORM:

from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from db_retry import Transaction


async def main():
    engine = create_async_engine("postgresql+asyncpg://user:pass@localhost/mydb")

    async with AsyncSession(engine) as session:
        strict_transaction = Transaction(
            session=session,
            isolation_level="SERIALIZABLE",
        )
        # use strict_transaction where needed

Configuration

The library can be configured using environment variables:

Variable	Description	Default
DB_RETRY_RETRIES_NUMBER	Number of retry attempts for database operations	3

Example:

export DB_RETRY_RETRIES_NUMBER=5

API Reference

Retry Decorator

• @postgres_retry - Decorator for async functions that should retry on database errors (uses DB_RETRY_RETRIES_NUMBER)
• @postgres_retry(retries=N) - Override retry count per callsite

Connection Utilities

• build_connection_factory(url, timeout) - Creates a connection factory for multi-host setups
• build_db_dsn(db_dsn, database_name, use_replica=False, drivername="postgresql") - Builds a DSN with specified parameters
• is_dsn_multihost(db_dsn) - Checks if a DSN contains multiple hosts

Transaction Helper

• Transaction(session, isolation_level=None) - Context manager for transaction handling; auto-rolls back on exit if no explicit .commit() or .rollback() was called

Requirements

• Python 3.13+
• SQLAlchemy with asyncio support
• asyncpg PostgreSQL driver
• tenacity for retry logic

License

This project is licensed under the MIT License - see the LICENSE file for details.