db-try 0.2.2
PostgreSQL and SQLAlchemy Tools
Requires Python: <4,>=3.13
Keywords: python, postgresql, sqlalchemy

# db-try

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

```bash
uv add db-try
```

### Using pip

```bash
pip install db-try
```

## ORM-Based Usage Examples

### 1. Database Operations with Automatic Retry

Protect your database operations from transient failures using ORM models:

```python
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_try 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
@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, "john.doe@example.com")
        if user:
            print(f"Found user: {user.name}")

asyncio.run(main())
```

### 2. High Availability Database Connections

Set up resilient database connections with multiple fallback hosts:

```python
import sqlalchemy as sa
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
from db_try 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:

```python
import dataclasses
import datetime
import typing

from schemas import AnalyticsEventCreate, AnalyticsEvent
from db_try 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:

```python
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from db_try 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_TRY_RETRIES_NUMBER` | Number of retry attempts for database operations | 3       |

Example:
```bash
export DB_UTILS_RETRIES_NUMBER=5
```

## API Reference

### Retry Decorator
- `@postgres_retry` - Decorator for async functions that should retry on database errors

### 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 simplified transaction handling

## 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](LICENSE) file for details.