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Graphql with FastAPI Integration @codemeg
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|#backend |#coding |#website |#api |#fastapi |#graphql |#python |#programming @codemeg
In this tutorial, we'll guide you through building a GraphQL API with FastAPI and Ariadne, backed by a MongoDB database for user management. You'll learn how to create, read, update, and delete (CRUD) user records using FastAPI endpoints and integrate GraphQL for flexible querying.
Key Highlights:
Setting Up MongoDB with AsyncIO: Learn how to connect to a MongoDB database asynchronously using AsyncIO with the motor library.
Defining Pydantic Models: Define Pydantic models for creating and updating users with data validation.
Implementing GraphQL Schema: Use Ariadne to define a GraphQL schema that supports queries for fetching users by name.
CRUD Operations with FastAPI Endpoints: Implement FastAPI endpoints for creating, reading, updating, and deleting user records in the MongoDB database.
Error Handling: Handle HTTP exceptions for cases like user not found or failed updates.
Technologies Used:
FastAPI: A modern, fast web framework for building APIs with Python.
Ariadne: A GraphQL toolkit for Python.
Pydantic: Data validation and settings management library.
MongoDB: A NoSQL document-oriented database.
By the end of this tutorial, you'll have a solid understanding of how to leverage FastAPI and Ariadne to build a robust GraphQL API backed by a MongoDB database.
If you find this tutorial helpful, don't forget to like, comment, and subscribe for more content!
In this tutorial, we'll guide you through building a GraphQL API with FastAPI and Ariadne, backed by a MongoDB database for user management. You'll learn how to create, read, update, and delete (CRUD) user records using FastAPI endpoints and integrate GraphQL for flexible querying.
Key Highlights:
Setting Up MongoDB with AsyncIO: Learn how to connect to a MongoDB database asynchronously using AsyncIO with the motor library.
Defining Pydantic Models: Define Pydantic models for creating and updating users with data validation.
Implementing GraphQL Schema: Use Ariadne to define a GraphQL schema that supports queries for fetching users by name.
CRUD Operations with FastAPI Endpoints: Implement FastAPI endpoints for creating, reading, updating, and deleting user records in the MongoDB database.
Error Handling: Handle HTTP exceptions for cases like user not found or failed updates.
Technologies Used:
FastAPI: A modern, fast web framework for building APIs with Python.
Ariadne: A GraphQL toolkit for Python.
Pydantic: Data validation and settings management library.
MongoDB: A NoSQL document-oriented database.
By the end of this tutorial, you'll have a solid understanding of how to leverage FastAPI and Ariadne to build a robust GraphQL API backed by a MongoDB database.
If you find this tutorial helpful, don't forget to like, comment, and subscribe for more content!