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Print
FastAPI Development
Posted
Updated
ByPeter Westerman
name: fastapi-development
description: Build FastAPI applications with async endpoints, Pydantic validation, dependency injection, and containerized deployment. Use when developing Python APIs with FastAPI, designing async database access, structuring middleware, or deploying with Docker and Uvicorn.
FastAPI Development
Instructions
Build production-grade FastAPI applications following these patterns.
Async endpoint design:
- Use
async deffor endpoints performing I/O (database queries, HTTP calls, file operations) - Use plain
deffor CPU-bound endpoints — FastAPI runs them in a thread pool automatically - Await all async calls; never mix sync blocking calls inside
async defendpoints
Pydantic models for request/response:
- Define request bodies as Pydantic
BaseModelsubclasses with type annotations and validators - Define response models with
response_modelparameter on route decorators to control serialization - Use
Field(...)for validation constraints (min_length, ge, le, regex) - Separate create, update, and response schemas (e.g.,
UserCreate,UserUpdate,UserResponse)
Dependency injection:
- Use
Depends()for database sessions, authenticated users, configuration, and shared services - Create generator dependencies with
yieldfor resource lifecycle management (open/close DB sessions) - Layer dependencies: auth depends on DB session, endpoint depends on auth
- Define reusable dependencies in a dedicated
deps.pymodule
SQLAlchemy async with asyncpg:
- Use
create_async_enginewithasyncpgdriver for PostgreSQL (postgresql+asyncpg://) - Create sessions with
async_sessionmakerandAsyncSession - Use
select()statements withawait session.execute()— avoid legacy Query API - Run migrations with Alembic configured for async (
run_async)
Middleware:
- Add
CORSMiddlewarewith explicitallow_origins,allow_methods,allow_headers - Implement custom middleware for request logging, timing, and authentication token validation
- Order matters: middleware executes in reverse declaration order
Docker deployment:
- Use multi-stage builds: builder stage installs dependencies, runtime stage copies only what’s needed
- Run with Uvicorn:
uvicorn app.main:app --host 0.0.0.0 --port 8000 --workers 4 - Set
--workersbased on CPU cores (2 × cores + 1 as starting point) - Use health check endpoint (
/health) in Docker Compose and orchestrators
Patriot University reference architecture:
- FastAPI application server with PostgreSQL 16 for relational data
- Redis 7 for caching, session storage, and rate limiting
- MinIO for S3-compatible object storage (documents, media)
- Docker Compose orchestration with service health checks and restart policies
Table of Contents
