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Phresh Cleaning - Up and Running With FastAPI Tutorial Series

This repo holds the code used to create a FastAPI backend for a fake cleaning marketplace called "Phresh".

Each part of the application is built and tested in small, manageable chunks - accompanied by written tutorials.

The technology stack used to create the backend of this application is as follows:

  • Framework
    • FastAPI and Starlette
  • ASGI Server
    • Uvicorn and Gunicorn
  • Containerization
    • Docker
  • Database
    • Postgres
    • Alembic
    • encode/databases
  • Authentication
    • Bcrypt
    • Passlib
    • JWT Tokens with Pyjwt
  • Testing
    • Pytest
  • Development
    • flake8
    • black
    • vscode

Roadmap and Completed Articles

✅ - Completed 🛄 - In progress 📱 - UI 🚂 - Backend

  • Part 1: Up and running with FastAPI and docker ✅🚂
  • Part 2: Configuring a postgresql db with your dockerized FastAPI app ✅🚂
  • Part 3: Hooking FastAPI endpoints up to a postgres database ✅🚂
  • Part 4: Testing FastAPI endpoints with docker and pytest ✅🚂
  • Part 5: Resource management with FastAPI ✅🚂
  • Part 6: Designing a robust user model in a FastAPI app ✅🚂
  • Part 7: User auth in FastAPI with jwt tokens ✅🚂
  • Part 8: Auth dependencies in FastAPI ✅🚂
  • Part 9: Setting up user profiles in FastAPI ✅🚂
  • Part 10: User owned resources in FastAPI ✅🚂
  • Part 11: Marketplace functionality in FastAPI ✅🚂
  • Part 12: Evaluations and SQL aggregations in FastAPI ✅🚂
  • Part 13: Phresh frontend - bootstrapping a React app ✅📱
  • Part 14: Frontend navigation with React router ✅📱
  • Part 15: Managing auth state with redux ✅📱
  • Part 16: Client-side protected routes and user registration ✅📱
  • Part 17: Consuming a FastAPI backend from a React frontend ✅🚂📱
  • Part 18: Edit user-owned cleaning resources with React and FastAPI ✅📱
  • Part 19: Creating and viewing job offers with React and FastAPI ✅📱
  • Part 20: Approving and rejecting job offers with React and FastAPI ✅🚂📱
  • Part 21: Serving a paginated activity feed from FastAPI ✅🚂📱