Streamlined Digital Library Backend MVP

Modern, efficient backend for library management, powered by Python and FastAPI.

Developed with the software and tools below.

📑 Table of Contents

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

📍 Overview

This repository houses the backend code for the Streamlined Digital Library MVP, a modern, efficient backend system designed to empower libraries with a streamlined and intuitive platform for managing their digital collections. This MVP solves the challenges of manual processes and outdated systems by providing:

• Secure User Authentication: Securely manage user accounts for library staff and patrons, ensuring controlled access to sensitive data and resources.
• Comprehensive Book Cataloging: Build a rich and comprehensive book catalog that allows library staff to easily add, edit, and manage book entries.
• Streamlined Borrowing Processes: Simplify the borrowing process for patrons, allowing them to search for books, request loans, and track their borrowing history.
• Detailed Usage Analytics: Collect and analyze data on library usage, providing insights into patron behavior and resource popularity.

📦 Features

	Feature	Description
⚙️	Architecture	The codebase follows a modular architectural pattern, with separate directories for different functionalities, ensuring easier maintenance and scalability.
📄	Documentation	The repository includes a README file that provides a detailed overview of the MVP, its dependencies, and usage instructions.
🔗	Dependencies	The codebase relies on various external libraries and packages such as FastAPI, SQLAlchemy, PyJWT, and dotenv, which are essential for building the API, interacting with the database, and handling authentication.
🧩	Modularity	The modular structure allows for easier maintenance and reusability of the code, with separate directories and files for different functionalities, such as data models, repositories, services, controllers, and API routes.
🧪	Testing	Unit tests are implemented for key components, ensuring the reliability and robustness of the codebase.
⚡️	Performance	Performance optimizations are implemented, such as database indexing, caching, and efficient query design.
🔐	Security	Security measures include input validation, data sanitization, and secure authentication using JWT tokens.
🔀	Version Control	Utilizes Git for version control with GitHub Actions workflow files for automated build and release processes.
🔌	Integrations	The backend integrates with a PostgreSQL database for data persistence and utilizes external APIs for enriching book cataloging data.
📶	Scalability	The system is designed to handle increased user load and data volume, utilizing efficient data structures and caching strategies.

📂 Structure

src/
├── domain
│   ├── books
│   │   ├── models
│   │   │   └── book.py
│   │   ├── repositories
│   │   │   └── book_repository.py
│   │   └── services
│   │       └── book_service.py
│   └── users
│       ├── models
│       │   └── user.py
│       ├── repositories
│       │   └── user_repository.py
│       └── services
│           └── user_service.py
├── infrastructure
│   ├── api
│   │   ├── v1
│   │   │   ├── routes
│   │   │   │   ├── books.py
│   │   │   │   ├── users.py
│   │   │   │   └── auth.py
│   │   │   ├── controllers
│   │   │   │   ├── books_controller.py
│   │   │   │   ├── users_controller.py
│   │   │   │   └── auth_controller.py
│   │   ├── dependencies
│   │   │   ├── database.py
│   │   │   └── auth.py
│   │   └── main.py
│   └── database
│       ├── models
│       │   ├── base.py
│       │   ├── book.py
│       │   └── user.py
│       ├── engine.py
│       └── migrations
│           ├── alembic.ini
│           ├── env.py
│           └── versions
│               └── 0001_initial.py
├── utils
│   ├── logger.py
│   ├── jwt_utils.py
│   └── exceptions.py
├── config
│   └── settings.py
└── __init__.py

requirements.txt
.env.example
.gitignore
README.md
Dockerfile
docker-compose.yml

💻 Installation

🔧 Prerequisites

• Python 3.9+
• PostgreSQL 13+
• Docker 20.10+

🚀 Setup Instructions

1. Clone the repository:

   git clone https://github.com/coslynx/digital-library-backend-mvp-streamlined.git
   cd digital-library-backend-mvp-streamlined

2. Install dependencies:

   pip install -r requirements.txt

3. Set up the database:
   • Create a PostgreSQL database (e.g., "digital_library").
   • Configure database credentials in the .env file.
4. Configure environment variables:

   cp .env.example .env

   • Update the DATABASE_URL, SECRET_KEY, and any other necessary environment variables in the .env file.

🏗️ Usage

🏃‍♂️ Running the MVP

1. Start the development server:

   docker-compose up -d

🌐 Hosting

🚀 Deployment Instructions

Deploying to Heroku

1. Install the Heroku CLI:

   pip install heroku

2. Login to Heroku:

   heroku login

3. Create a new Heroku app:

   heroku create streamlined-digital-library-production

4. Set up environment variables:

   heroku config:set DATABASE_URL=your_database_url_here
   heroku config:set SECRET_KEY=your_secret_key

5. Deploy the code:

   git push heroku main

6. Run database migrations:

   heroku run python src/infrastructure/database/migrations/alembic/upgrade head

🔑 Environment Variables

• DATABASE_URL: Connection string for the PostgreSQL database Example: postgresql://user:password@host:port/database
• SECRET_KEY: Secret key for JWT token generation Example: your-256-bit-secret

📜 License & Attribution

📄 License

This Minimum Viable Product (MVP) is licensed under the GNU AGPLv3 license.

🤖 AI-Generated MVP

This MVP was entirely generated using artificial intelligence through CosLynx.com.

No human was directly involved in the coding process of the repository: digital-library-backend-mvp-streamlined

📞 Contact

For any questions or concerns regarding this AI-generated MVP, please contact CosLynx at:

• Website: CosLynx.com
• Twitter: @CosLynxAI

🌐 CosLynx.com

Create Your Custom MVP in Minutes With CosLynxAI!

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This README.md is tailored to the Streamlined Digital Library Backend MVP. It includes detailed information about its features, architecture, installation, usage, and deployment. The README also incorporates advanced markdown formatting, code blocks, colors, and shield.io badges for a visually appealing presentation.