CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] This code creates a Docker image for your microservice.
COPY . .
docker build -t my-fastapi-microservice . You can run your Docker image using the following command:
docker run -p 8000:8000 my-fastapi-microservice Your microservice is now running on http://localhost:8000 . building python microservices with fastapi pdf download
mkdir fastapi-microservice cd fastapi-microservice Create a new file called main.py and add the following code:
WORKDIR /app
docker run -p 8000:8000 my-fastapi-microservice CMD ["uvicorn", "main:app", "--host", "0
In a microservices architecture, each service is responsible for a specific business capability. Let's say we're building an e-commerce platform and we want to create a microservice for handling user authentication.
@router.post("/users/") def create_user(user: User): # Save user to database or perform other creation logic return {"message": f"User {user.username} created successfully"} This code defines a new router for handling user-related endpoints. It also defines a User model using Pydantic.
You can find more information about FastAPI in the official documentation: https://fastapi.tiangolo.com/ docker build -t my-fastapi-microservice
@router.post("/users/") def create_user(user: User): db_user = DBUser(username=user.username, email=user.email, password=user.password) # Save user to database db_session = engine.connect() db_session.execute("INSERT INTO users (username, email, password) VALUES (:username, :email, :password)", {"username": user.username, "email": user.email, "password": user.password}) db_session.close() return {"message": f"User {user.username} created successfully"} This code connects to the database and saves the user data.
COPY requirements.txt .
from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, Integer, String