Build a CRUD API with FastAPI and PostgreSQL: A Complete Tutorial

Added:

Setup and Database
Define Models
Create Schemas
Service Functions
Build GET & POST APIs
Get Specific Book
Update Operation
Delete & Summary

Setup and Database

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Playing Section
  • 1

    Install PostgreSQL and create a new database named 'bookstore'.

  • 2

    Set up a Python environment and install required dependencies.

  • 3

    Define a database connection engine and session maker.

Fundamental Python programming, including familiarity with functions, data structures, and type hinting.
Basic understanding of RESTful API principles and standard HTTP methods (GET, POST, PUT, DELETE).
Relational database concepts, including tables, primary keys, foreign keys, and basic SQL queries.
Implementing user authentication and authorization using OAuth2 with JWT (JSON Web Tokens) in FastAPI.
Managing database schema migrations over time using Alembic.
Writing automated unit and integration tests for your API endpoints using Pytest and TestClient.
Containerizing the application and database using Docker and Docker Compose for consistent development and deployment.
Deploying the FastAPI application to cloud platforms (such as AWS, Render, or Heroku) using a production ASGI server like Uvicorn or Gunicorn.
25.5K views518likes37:55@witty.coder1Original Release: 2024-05-25

This tutorial demonstrates how to build a full-featured CRUD (Create, Read, Update, Delete) API using FastAPI with PostgreSQL as the database backend. The process involves setting up a Python virtual environment, configuring SQLAlchemy for database connections, defining Pydantic schemas for data validation, creating database models and tables, implementing service layer functions for business logic, and defining FastAPI endpoints with proper dependency injection. The tutorial covers all four CRUD operations: creating book entries with validation, retrieving all books or specific books by ID, updating existing book records, and deleting books from the database.