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 ✅🚂📱