backend-config-patterns

Pattern: Configuration management with Settings class, async DB pools, structured logging.

Usage: Setting up environment configs, database connections, logging, Docker containers.

Instructions:

• Use pydantic-settings.Settings for configuration
• Load .env files via dotenv library
• Implement async SQLAlchemy engine with connection pooling
• Use structured logging (structlog or python logging with JSON)
• Create Dockerfile with multi-stage builds
• Use docker-compose.yml for local development

Config Pattern:

from pydantic_settings import BaseSettings

class Settings(BaseSettings):
    database_url: str
    debug: bool = False

    class Config:
        env_file = ".env"

settings = Settings()

Logging Pattern:

import logging
logger = logging.getLogger(__name__)
logger.info("Event", extra={"user_id": id})

Database Pattern:

from sqlalchemy.ext.asyncio import create_async_engine
engine = create_async_engine(url, echo=False, pool_size=10)