I’ve built a robust system. Let’s look at the final architecture I’ve created over the last month.
1. Final Tech Stack
- Framework: FastAPI (High performance, based on Starlette and Pydantic).
- Environment: Managed by uv for lightning-fast dependency resolution.
- Database: PostgreSQL orchestrated via Docker Compose.
- ORM: SQLAlchemy with the Repository pattern for clean CRUD.
- Security: OAuth2 with Password flow and JWT tokens.
- Quality Control: Pytest for logic and GitHub Actions for CI/CD.
2. The “Clean Up” Checklist
Before I call this project “Finished,” I should do these three things:
- The README: Use the template below. A great project without a README is invisible.
- Remove Debugging Code: Search for any
print()statements and replace them with theloggerwe built on Day 27. - Environment Hygiene: Ensure my
.envis in.gitignoreand my.env.exampleis up to date.
3. Custom Exception Handler (The Final Piece)
Remember the requirement we saved at the start? I should make sure my main.py includes that global handler to ensure my API always speaks a consistent language, even during a crash:
@app.exception_handler(StarletteHTTPException)
async def custom_http_exception_handler(request: Request, exc: StarletteHTTPException):
return JSONResponse(
status_code=exc.status_code,
content={
"status": "error",
"message": exc.detail,
"path": request.url.path,
"code": exc.status_code,
"timestamp": datetime.now().isoformat()
},
)
📂 GitHub README Template
# 🚀 FastAPI 30-Day Project
A production-ready inventory management API built during a 30-day deep dive into FastAPI.
## ✨ Features
- **Full CRUD** with PostgreSQL & SQLAlchemy.
- **JWT Authentication** & Password Hashing.
- **Automated Testing** with Pytest (90%+ coverage).
- **Background Tasks** for email notifications.
- **Dockerized** for one-command deployment.
## 🛠️ Setup
1. Install [uv](https://astral.sh/uv).
2. `uv sync`
3. `docker-compose up`
4. Visit `http://localhost:8000/docs`
The 30 days are over, but the learning isn’t. It’s only the beginning. My goal was to get through the FastAPI step by step and go through the documentation, the manual and the examples and acquire a solid understanding of the framework. Now, I can start building my own projects and learning new things.
There are some things that are worthy of some attention:
- Asynchronous Deep Dive: Explore
SQLModelorTortoise-ORMfor fully async database interactions. - Real-time Apps: Learn WebSockets in FastAPI for chat or live notifications.
- Advanced Security: Implement Refresh Tokens or OAuth2 Social Logins (Google/GitHub).
I will explore theme throroughly by making projects that use them and will write about it. So, for now… Bye.

