Best Practices — Python API Backend Application Development

VerticalServe Blogs
3 min readJul 22, 2024

--

Developing a Python API backend application can be a rewarding experience, especially when leveraging modern frameworks like FastAPI. However, to ensure a robust, maintainable, and scalable application, it’s crucial to follow best practices from the outset. This blog post will guide you through the essential steps and considerations before starting your Python API backend development.

1. Choose the Right Framework

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use and to provide the best developer experience.

2. Set Up Your Development Environment

Ensure you have a clean and organized development environment. Use virtual environments to manage dependencies.

# Create a virtual environment
python -m venv venv

# Activate the virtual environment
# On Windows
.\venv\Scripts\activate
# On Unix or MacOS
source venv/bin/activate

# Install FastAPI and Uvicorn
pip install fastapi uvicorn

3. Structure Your Project

A well-structured project is easier to manage and understand. Here’s a suggested structure:

my_fastapi_app/

├── app/
│ ├── __init__.py
│ ├── main.py
│ ├── models.py
│ ├── routes/
│ │ ├── __init__.py
│ │ └── items.py
│ ├── services/
│ │ ├── __init__.py
│ │ └── item_service.py
│ └── tests/
│ ├── __init__.py
│ └── test_items.py

├── .env
├── .gitignore
├── Dockerfile
├── requirements.txt
└── README.md

4. Implement Your API

Here’s a simple FastAPI application example:

# app/main.py
from fastapi import FastAPI
from app.routes import items

app = FastAPI()

app.include_router(items.router)

# app/routes/items.py
from fastapi import APIRouter

router = APIRouter()

@router.get("/items/{item_id}")
async def read_item(item_id: int):
return {"item_id": item_id, "name": f"Item {item_id}"}

5. Test-Driven Development (TDD)

Adopt TDD to ensure your code is reliable and bug-free. Write tests before writing the actual code.

# Install pytest
pip install pytest

# app/tests/test_items.py
from fastapi.testclient import TestClient
from app.main import app

client = TestClient(app)

def test_read_item():
response = client.get("/items/1")
assert response.status_code == 200
assert response.json() == {"item_id": 1, "name": "Item 1"}

# Run tests
pytest

6. Logging

Implement logging to monitor your application’s behavior.

# app/main.py
import logging
from fastapi import FastAPI

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

app = FastAPI()

@app.on_event("startup")
async def startup_event():
logger.info("Application startup")

@app.on_event("shutdown")
async def shutdown_event():
logger.info("Application shutdown")

7. Monitoring

Use monitoring tools like Prometheus and Grafana to keep track of your application’s performance.

# Install Prometheus FastAPI middleware
pip install prometheus-fastapi-instrumentator

# app/main.py
from prometheus_fastapi_instrumentator import Instrumentator

app = FastAPI()

@app.on_event("startup")
async def startup_event():
Instrumentator().instrument(app).expose(app)

8. Security

Ensure your API is secure by implementing authentication and authorization.

# Install security dependencies
pip install fastapi[all]

# app/main.py
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

async def get_current_user(token: str = Depends(oauth2_scheme)):
if token != "fake-super-secret-token":
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid authentication credentials",
)
return {"username": "user"}

@app.get("/secure-items/")
async def read_secure_items(current_user: dict = Depends(get_current_user)):
return [{"item_id": "secure", "owner": current_user["username"]}]

9. API Documentation

FastAPI automatically generates interactive API documentation.

# app/main.py
app = FastAPI(title="My FastAPI Application", description="API documentation", version="1.0.0")

Visit http://127.0.0.1:8000/docs to see the Swagger UI.

10. CI/CD

Implement Continuous Integration and Continuous Deployment (CI/CD) to automate testing and deployment.

# .github/workflows/ci.yml
name: CI

on: [push, pull_request]

jobs:
build:
runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.9'
- name: Install dependencies
run: |
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- name: Run tests
run: |
source venv/bin/activate
pytest

Conclusion

By following these best practices, you can ensure that your Python API backend application is well-structured, secure, and maintainable. FastAPI, combined with proper testing, logging, monitoring, and CI/CD, provides a solid foundation for building modern APIs. Happy coding!

About:

VerticalServe Inc — Niche Cloud, Data & AI/ML Premier Consulting Company, Partnered with Google Cloud, Confluent, AWS, Azure…60+ Customers and many success stories..

Website: http://www.VerticalServe.com

Contact: contact@verticalserve.com

Successful Case Studies: http://verticalserve.com/success-stories.html

InsightLake Solutions: Our pre built solutions — http://www.InsightLake.com

--

--

No responses yet