Fastapi

Python FastAPI PUDO Checklist

1. PLAN (Architecture & Strategy)

• API Design: Define RESTful endpoints, path parameters, and query parameters.
• Data Validation: Plan Pydantic models for request (In) and response (Out) schemas.
• Database & ORM: Select the async DB driver and ORM (e.g., SQLAlchemy 2.0 with async engine, SQLModel).
• Authentication: Plan dependency injection for Auth (OAuth2, JWT tokens).

2. UNDERSTAND (Context & Auditing)

• Dependencies: Review the existing dependency injection (Depends()) tree.
• Sync vs Async: Audit for blocking I/O calls within async def endpoints. Ensure CPU-bound tasks use def or thread pools.
• Middleware: Review CORS, rate limiting, and custom middleware configurations.

3. DEVELOP (Implementation)

• Schemas: Implement strict Pydantic v2 models with Field validation constraints.
• Endpoints: Create routers (APIRouter) to group related endpoints.
• Dependency Injection: Use Depends() for database sessions, current user retrieval, and pagination parameters.
• Error Handling: Implement custom Exception Handlers for consistent JSON error responses.

4. OPTIMIZE (Performance & Review)

• Concurrency: Ensure database calls are utilizing await properly without deadlocks.
• Serialization: Profile Pydantic serialization speeds; consider orjson if JSON parsing is a bottleneck.
• Documentation: Enrich OpenAPI docs with endpoint descriptions, tags, and summary response models.
• Security: Verify that sensitive models do not leak password hashes via response_model constraints.