moai-lang-python

FastAPI with async patterns and SQLAlchemy 2.0 enables high-throughput REST APIs. Structure endpoints with Pydantic v2 models for validation, use async session management for database queries, and deploy in containerized environments with observability instrumentation for production reliability.

Pydantic v2 provides runtime validation and serialization for API payloads. Define models as Python classes with type annotations, leverage discriminated unions for complex schemas, and integrate directly with FastAPI or Django to auto-generate OpenAPI documentation and catch invalid input before processing.

Pytest enables fixture-based testing with static type checking via mypy integration. Structure tests around async functions, mock database calls with SQLAlchemy sessions, and combine with CI/CD pipelines to validate code before deployment across containerized services.

SQLAlchemy v2 supports async drivers and session factories designed for FastAPI endpoints. Use `AsyncSession` for non-blocking database operations, pair with connection pooling for microservice deployments, and integrate observability to monitor query performance across distributed systems.

Docker containerization, CI/CD automation, and observability instrumentation form the deployment foundation. FastAPI and Django both run in container orchestration platforms; combine with static type checking and comprehensive pytest coverage to ensure production stability and rapid incident response.