/platform

Primary LanguagePython

FastAPI Example Project

Some people were searching my GitHub profile for project examples after reading the article on FastAPI best practices. Unfortunately, I didn't have useful public repositories, but only my old proof-of-concept projects.

Hence, I have decided to fix that and show how I start projects nowadays, after getting some real-world experience. This repo is kind of a template I use when starting up new FastAPI projects:

  • production-ready
    • gunicorn with dynamic workers configuration (stolen from @tiangolo)
    • Dockerfile optimized for small size and fast builds with a non-root user
    • JSON logs
    • sentry for deployed envs
  • easy local development
    • environment with configured postgres and redis
    • script to lint code with black, autoflake, isort (also stolen from @tiangolo)
    • configured pytest with async-asgi-testclient, pytest-env, pytest-asyncio
    • fully typed to comply with mypy
  • SQLAlchemy with slightly configured alembic
    • async db calls with asyncpg
    • set up sqlalchemy2-stubs
    • migrations set in easy to sort format (YYYY-MM-DD_slug)
  • pre-installed JWT authorization
    • short-lived access token
    • long-lived refresh token which is stored in http-only cookies
    • salted password storage with bcrypt
  • global pydantic model with
    • orjson
    • explicit timezone setting during JSON export
  • and some other extras like global exceptions, sqlalchemy keys naming convention, shortcut scripts for alembic, etc.

Local Development

First Build Only

  1. cp .env.example .env
  2. docker network create app_main
  3. docker-compose up -d --build

Linters

Format the code

docker compose exec app format

Migrations

  • Create an automatic migration from changes in src/database.py
docker compose exec app makemigrations *migration_name*
  • Run migrations
docker compose exec app migrate
  • Downgrade migrations
docker compose exec app downgrade -1  # or -2 or base or hash of the migration

Tests

All tests are integrational and require DB connection.

One of the choices I've made is to use default database (postgres), separated from app's app database.

  • Using default database makes it easier to run tests in CI/CD environments, since there is no need to setup additional databases
  • Tests are run with force_rollbacke=True, i.e. every transaction made is then reverted

Run tests

docker compose exec app pytest

Additional

curl -X 'GET' \
  'http://127.0.0.1:8003/auth/users/me' \
  -H 'accept: application/json' \
  -H "Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxIiwiZXhwIjoxNjg3MjA0NTc3LCJpc19hZG1pbiI6ZmFsc2V9.VZU-CqUHWLMcjexztQMiWXt0DPEW5Kfc_73eTlri5ZM"
  1. start Ray cluster: ray start --head --port=6379