GRAPHQL API

Personal Project - 2024

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My Role

Backend Devleoper

Team

Collaborated with mentors and peers for feedback and guidance

Timeline

Developed in a few days as a side project

Overview

Project leverages the power of FastAPI, Docker, and GraphQL to create a high-performance backend infrastructure. FastAPI provides lightning-fast asynchronous support, while Docker ensures easy deployment and scalability across diverse environments. With GraphQL, we offer a flexible and efficient data querying interface, empowering developers to fetch precisely the data they need, optimizing network usage. This project aims to streamline development workflows, enhance application performance, and facilitate seamless integration with modern frontend frameworks.

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FUNCTIONALITY

High-Performance Backend
Infrastructure

High-Performance Backend
Infrastructure

Utilize FastAPI, Docker, and GraphQL to create a backend with exceptional speed and scalability, ensuring optimal performance for your applications.

Efficient Data Management with PostgreSQL

Efficient Data Management with PostgreSQL

Leverage a PostgreSQL database within Docker, providing a reliable and efficient storage solution for your application's data.

User and Phone Number Models

User and Phone Number Models

Define two models for users and phone numbers, establishing a structured data schema for managing user information and contact details.

CRUD Operations

CRUD Operations

Implement mutations for creating, updating, and deleting user records, offering robust functionality for managing user data within the system.

Flexible Data Queries with GraphQL

Flexible Data Queries with GraphQL

Utilize GraphQL queries to retrieve lists of users and individual user details, facilitating dynamic and efficient data fetching tailored to specific requirements.

Relationships Between User and Phone Number

Relationships Between User and Phone Number

Establish a relationship between the user and phone number models, enabling seamless retrieval of associated phone numbers when querying user data, enhancing data coherence and accessibility.

Comprehensive Testing Suite

Comprehensive Testing Suite

Develop a suite of tests to rigorously validate GraphQL queries and mutations, ensuring the accuracy and reliability of data retrieval and manipulation functionalities across various scenarios and edge cases.

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TECHNOLOGY STACK
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DockerLogo
PostgrSQL
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FUNCTIONALITY

Explore Further: Documentation & Source Code

Source Code

github

Explore the source code of the project on GitHub to go deeper into its structure, implementation, and contributions. Browse through commits, branches, and issues to gain insights into the development process.

Quick Start

shuttle

The application is meticulously designed for effortless deployment and seamless usage across diverse devices. Please refer to the comprehensive guidelines provided in the GitHub readme, meticulously crafted to streamline the quick start process and ensure optimal user experience.