Building Python Microservices | With Fastapi Pdf Download

RUN pip install -r requirements.txt

Create a new file called users.py and add the following code:

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. 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:

from fastapi import APIRouter, Depends from pydantic import BaseModel

Base.metadata.create_all(engine) This code sets up a SQLite database and defines a User model using SQLAlchemy. RUN pip install -r requirements

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It's designed to be fast, robust, and easy to use. In this guide, we'll explore how to build Python microservices using FastAPI.

from fastapi import APIRouter, Depends from pydantic import BaseModel from database import engine, User as DBUser

In this guide, you've learned how to build a Python microservice using FastAPI. You've created a basic FastAPI app, defined a microservice for handling user authentication, integrated with a database, and containerized your microservice using Docker. It also defines a User model using Pydantic

COPY requirements.txt .

Build your Docker image:

from fastapi import FastAPI

Create a new directory for your project and navigate to it in your terminal or command prompt: