This content originally appeared on DEV Community and was authored by fu-_ry17

Video to MP3 Converter

A modern, scalable microservices-based video to MP3 conversion platform built with FastAPI, featuring user authentication, file processing, and email notifications.

Architecture

This project follows a microservices architecture pattern with the following services:

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Gateway       │    │   Auth Service  │    │  Media Service  │
│   (Port 8000)   │◄──►│   (Port 5000)   │    │   (Port 7000)   │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         │                       │                       │
         ▼                       ▼                       ▼
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ Convertor       │    │ Notification    │    │   RabbitMQ      │
│ Service         │    │ Service         │    │   Message       │
│ (Port 4000)     │    │ (Port 6000)     │    │   Broker        │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         │                       │                       │
         ▼                       ▼                       ▼
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   MongoDB       │    │   PostgreSQL    │    │   Mongo Express │
│   (Port 27017)  │    │   (Port 5433)   │    │   (Port 8081)   │
└─────────────────┘    └─────────────────┘    └─────────────────┘

Features

User Authentication: JWT-based authentication with registration and login
Video Upload: Secure file upload with GridFS storage
Video Processing: Asynchronous video to MP3 conversion using FFmpeg
Email Notifications: Automated welcome and conversion completion emails
API Gateway: Centralized routing and request handling
Microservices: Scalable, independent service architecture
Message Queuing: RabbitMQ for asynchronous communication
Database Support: PostgreSQL for user data, MongoDB for file storage

Tech Stack

Backend Services

FastAPI – Modern, fast web framework for building APIs
Python 3.13 – Programming language
SQLModel – Database ORM with type safety
Pydantic – Data validation and settings management

Databases

PostgreSQL 17 – Relational database for user management
MongoDB 6.0 – Document database with GridFS for file storage

Message Queue

RabbitMQ 3.12 – Message broker for asynchronous communication

Media Processing

FFmpeg – Video/audio processing and conversion

Email Service

FastAPI-Mail – Email sending capabilities

Infrastructure

Docker & Docker Compose – Containerization and orchestration
Uvicorn – ASGI server for FastAPI applications

Project Structure

video-mp3-convertor/
├── docker-compose.dev.yml          # Development environment setup
└── services/
    ├── auth/                       # Authentication service
    │   ├── src/
    │   │   ├── auth/              # Auth module
    │   │   │   ├── routes.py      # API endpoints
    │   │   │   ├── service.py     # Business logic
    │   │   │   ├── schema.py      # Data models
    │   │   │   └── utils.py       # Utilities (JWT, hashing)
    │   │   └── db/                # Database configuration
    │   └── requirements.txt
    ├── convertor/                  # Video conversion service
    │   ├── main.py                # Service entry point
    │   ├── mp3_consumer.py        # RabbitMQ consumer
    │   └── requirements.txt
    ├── gateway/                    # API Gateway
    │   ├── main.py                # Proxy service
    │   └── requirements.txt
    ├── media/                      # Media handling service
    │   ├── src/
    │   │   ├── media/             # Media module
    │   │   │   ├── routes.py      # Upload/download endpoints
    │   │   │   └── service.py     # File operations
    │   │   └── auth.py            # Authentication middleware
    │   └── requirements.txt
    └── notification/               # Email notification service
        ├── src/
        │   ├── consumer/          # Message consumers
        │   │   ├── mp3_consumer.py    # Conversion notifications
        │   │   └── user_consumer.py   # Welcome emails
        │   └── mail.py            # Email configuration
        └── requirements.txt

Quick Start

Prerequisites

Docker and Docker Compose
Git

Installation

Clone the repository

   git clone <repository-url>
   cd video-mp3-convertor

Start the services

   docker-compose -f docker-compose.dev.yml up --build

Access the services
- API Gateway: http://localhost:8000
- Auth Service: http://localhost:5000
- Media Service: http://localhost:7000
- RabbitMQ Management: http://localhost:15672 (admin/pass)
- Mongo Express: http://localhost:8081 (admin/pass)

API Documentation

Authentication Endpoints

Register User

POST /auth/sign-up
Content-Type: application/json

{
  "email": "user@example.com",
  "password": "securepassword"
}

Login User

POST /auth/sign-in
Content-Type: application/json

{
  "email": "user@example.com",
  "password": "securepassword"
}

Verify Token

GET /auth/verify
Authorization: Bearer <access_token>

Media Endpoints

Upload Video

POST /media/upload
Authorization: Bearer <access_token>
Content-Type: multipart/form-data

file: <video_file>

Download MP3

GET /media/download/{file_id}
Authorization: Bearer <access_token>

Workflow

User Registration/Login: Users authenticate through the auth service
Video Upload: Users upload videos through the media service
File Storage: Videos are stored in MongoDB using GridFS
Message Queue: Upload event triggers RabbitMQ message
Video Processing: Convertor service processes videos to MP3 using FFmpeg
Notification: Email notification sent when conversion is complete
Download: Users can download converted MP3 files

Docker Services

Service	Port	Description
Gateway	8000	API Gateway and routing
Auth	5000	User authentication
Media	7000	File upload/download
Convertor	4000	Video processing
Notification	6000	Email notifications
PostgreSQL	5433	User database
MongoDB	27017	File storage
RabbitMQ	5672	Message broker
RabbitMQ Management	15672	Message queue UI
Mongo Express	8081	MongoDB UI

Environment Variables

Auth Service

JWT_SECRET: Secret key for JWT token generation
DATABASE_URL: PostgreSQL connection string
RABBITMQ_URL: RabbitMQ connection string

Media Service

RABBITMQ_URL: RabbitMQ connection string
MONGODB_URL: MongoDB connection string
AUTH_URL: Auth service URL for token validation

Convertor Service

RABBITMQ_URL: RabbitMQ connection string
MONGODB_URL: MongoDB connection string

Gateway Service

AUTH_URL: Auth service URL
MEDIA_URL: Media service URL

Development

Running Individual Services

Each service can be run independently:

# Auth Service
cd services/auth
python -m uvicorn src.main:app --host 0.0.0.0 --port 5000

# Media Service
cd services/media
python -m uvicorn src.main:app --host 0.0.0.0 --port 7000

# Gateway Service
cd services/gateway
python -m uvicorn main:app --host 0.0.0.0 --port 8000

Database Migrations

The auth service uses SQLModel with automatic table creation. For production, consider using Alembic for migrations.

Security Features

JWT-based authentication with access and refresh tokens
Password hashing using bcrypt
Token-based authorization for protected endpoints
Secure file upload with validation
Environment-based configuration

Scalability

Microservices architecture allows independent scaling
Message queue enables asynchronous processing
Stateless services for horizontal scaling
Database separation for different data types

Contributing

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

License

This project is licensed under the MIT License – see the LICENSE file for details.

Future Enhancements

[ ] WebSocket support for real-time conversion progress
[ ] Multiple output formats (WAV, AAC, etc.)
[ ] Batch processing capabilities
[ ] User dashboard with conversion history
[ ] File size and format validation
[ ] Rate limiting and usage quotas
[ ] Cloud storage integration (AWS S3, Google Cloud)
[ ] Kubernetes deployment configuration
[ ] Monitoring and logging with Prometheus/Grafana
[ ] CI/CD pipeline setup

Built with using FastAPI and modern Python practices