project-1723966604966-vezqdn

A web application that empowers fitness enthusiasts to set, track, and share their fitness goals with friends.

Developed with the software and tools below.

📑 Table of Contents

• 📍 Overview
• 📦 Features
• 📂 Structure
• 💻 Installation
• 🏗️ Usage
• 🌐 Hosting
• 📄 License
• 👏 Authors

📍 Overview

This repository contains a Minimum Viable Product (MVP) for a Fitness Goal Tracker and Share Hub. It's built using a modern stack, including Next.js, TypeScript, React, PostgreSQL, and utilizes custom LLMs for various functionalities.

📦 Features

	Feature	Description
⚙️	Architecture	The codebase utilizes a modular architectural pattern with separate directories for different functionalities, promoting maintainability and scalability.
📄	Documentation	Comprehensive README file providing details about the MVP, its dependencies, and usage instructions.
🔗	Dependencies	The codebase leverages external libraries and packages like Next.js, React, Tailwind CSS, Zustand, Prisma, and others.
🧩	Modularity	The modular structure allows for easier maintenance and reusability of the code, with separate directories for components, types, utils, and more.
🧪	Testing	The MVP includes unit tests for core functionalities using Jest and React Testing Library to ensure code reliability and quality.
⚡️	Performance	Performance optimizations are implemented, such as code splitting, image optimization, and efficient data fetching strategies.
🔐	Security	Security is prioritized through input validation, secure data storage, and appropriate authentication mechanisms.
🔀	Version Control	Git version control is used, with automated build and release processes powered by GitHub Actions workflow files.
🔌	Integrations	The MVP integrates with APIs for tasks such as user authentication (Google), fitness data retrieval, and potentially social media sharing.
📶	Scalability	The system is designed to handle increasing user loads and data volumes. Scalability is further improved through caching and cloud-based solutions.

📂 Structure

└── pages
    └── api
        └── auth
            └── [...nextauth].js

💻 Installation

🔧 Prerequisites

• Node.js (LTS version recommended)
• npm (or yarn)
• Docker (optional, for local development with PostgreSQL)

🚀 Setup Instructions

1. Clone the repository:

   git clone https://github.com/spectra-ai-codegen/project-1723966604966-vezqdn.git

2. Navigate to the project directory:

   cd project-1723966604966-vezqdn

3. Install dependencies:

   npm install

🏗️ Usage

🏃‍♂️ Running the Development Server

1. Start the development server:

   npm run dev

2. Open your browser and navigate to http://localhost:3000

🌐 Hosting

🚀 Deployment Instructions

This MVP is designed to be hosted on a serverless platform like Vercel, Netlify, or AWS Lambda.

Vercel:

1. Create a new Vercel project:
   • Visit https://vercel.com/new
   • Select "GitHub" and connect your GitHub account.
   • Choose this repository.
   • Follow the prompts to deploy.
2. Configure environment variables:
   • Create a .env.production file in the project root.
   • Add your environment variables (e.g., NEXT_PUBLIC_GOOGLE_CLIENT_ID, DATABASE_URL).
3. Deploy:
   • Run vercel to deploy the application.

Netlify:

1. Create a new Netlify site:
   • Visit https://app.netlify.com/start
   • Select "GitHub" and connect your GitHub account.
   • Choose this repository.
   • Follow the prompts to deploy.
2. Configure environment variables:
   • In the Netlify dashboard, go to "Site settings" > "Environment"
   • Add your environment variables (e.g., NEXT_PUBLIC_GOOGLE_CLIENT_ID, DATABASE_URL).
3. Deploy:
   • Netlify will automatically deploy your application.

AWS Lambda:

1. Set up an AWS account:
   • Visit https://aws.amazon.com/
2. Create an AWS Lambda function:
   • Follow the instructions at https://docs.aws.amazon.com/lambda/latest/dg/getting-started-create-function.html
3. Configure the function:
   • Select "Node.js" as the runtime.
   • Choose a memory size and timeout.
4. Upload the code:
   • Create a zip file of the project directory.
   • Upload the zip file to the Lambda function.
5. Configure environment variables:
   • Go to the Lambda function settings.
   • Add your environment variables (e.g., NEXT_PUBLIC_GOOGLE_CLIENT_ID, DATABASE_URL).
6. Deploy:
   • Deploy the Lambda function.

Other Hosting Options:

• Heroku: Follow Heroku's deployment instructions for Node.js applications.
• Azure Functions: Follow Azure Functions' deployment instructions for Node.js.

🔑 Environment Variables

• NEXT_PUBLIC_GOOGLE_CLIENT_ID: Your Google Client ID for OAuth.
• NEXT_PUBLIC_GOOGLE_CLIENT_SECRET: Your Google Client Secret for OAuth.
• DATABASE_URL: The connection string for your PostgreSQL database.

📜 API Documentation

🔍 Endpoints

• GET /api/goals: Retrieves a list of all goals.
• POST /api/goals: Creates a new goal.
• GET /api/goals/:id: Retrieves a specific goal by ID.
• PUT /api/goals/:id: Updates a specific goal by ID.
• DELETE /api/goals/:id: Deletes a specific goal by ID.

🔒 Authentication

The API uses JWT tokens for authentication and authorization. You can use next-auth to generate and manage these tokens for users signing in with Google or with email/password.

📜 License

This Minimum Viable Product (MVP) is licensed under the MIT License.

👥 Authors

• Author Name - Spectra.codes
• Creator Name - DRIX10

🌐 Spectra.Codes

Why only generate Code? When you can generate the whole Repository!