from fastapi import APIRouter, Depends from pydantic import BaseModel from database import engine, User as DBUser
You can find more information about FastAPI in the official documentation: https://fastapi.tiangolo.com/
To persist data, we'll need to integrate with a database. Let's use SQLite as an example. Install the sqlalchemy library:
COPY . .
Add FastAPI microservice for user authentication
id = Column(Integer, primary_key=True) username = Column(String) email = Column(String) password = Column(String)
class User(BaseModel): username: str email: str password: str building python microservices with fastapi pdf download
docker run -p 8000:8000 my-fastapi-microservice
Base.metadata.create_all(engine) This code sets up a SQLite database and defines a User model using SQLAlchemy.
FROM python:3.9-slim
docker run -p 8000:8000 my-fastapi-microservice Your microservice is now running on http://localhost:8000 .
mkdir fastapi-microservice cd fastapi-microservice Create a new file called main.py and add the following code:
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] This code creates a Docker image for your microservice. from fastapi import APIRouter, Depends from pydantic import
RUN pip install -r requirements.txt
@app.get("/") def read_root(): return {"message": "Welcome to my FastAPI microservice!"} This code creates a basic FastAPI app with a single endpoint at / .