WebEye

WebEye is a monitoring system that tracks changes on specified websites

Overview

This project is a notification system that allows users to subscribe to notifications for specified websites. The system periodically takes screenshots of the websites, compares them using Mean Squared Error (MSE) to detect changes, and compares it to cached data stored in Redis. If any changes occur, users are notified via email. The system uses FastAPI for the backend, React for the frontend, Celery to manage background tasks, and RedisQueue for messaging.

Features

• User authentication (registration, login, token refresh)
• Monitoring of specified websites
• Periodic website screenshot capturing and comparison using MSE
• User profile management

Technologies Used

• Backend: FastAPI
• Frontend: React, Redux, MUI
• Database: PostgreSQL, Redis (for caching and messaging)
• Task Management: Celery
• Email Notifications: SMTP

Getting Started

Prerequisites

• Docker
• Docker Compose

Installation

1. Clone the repository:

   git clone https://github.com/MarkHmnv/WebEye.git
   cd WebEye

2. Modify the environment variables:

   Based on the .env.sample in both the api and client packages enter your data

3. Run the application:

   For development purposes, use the default docker-compose.yml:

   docker-compose up --build

   For production deployment, use docker-compose.prod.yml:

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

API Endpoints

Authentication API

• Register: POST /auth/register
• Login: POST /auth/login
• Refresh Token: POST /auth/refresh

Monitoring API

• Create Monitoring: POST /monitoring
• Get All Monitors: GET /monitoring
• Delete Monitoring: DELETE /monitoring/{monitoring_id}

Users API

• Get User Profile: GET /users/profile
• Update User Profile: PATCH /users/profile
• Delete User: DELETE /users/profile