Car Dealership Web App

This project implements a car dealership web application utilizing a microservices architecture.

Key Features

• Microservices Architecture:

  • Node.js API:
    • Handles all car-related operations:
      • Fetches all cars from the dealership.
      • Registers new car models.
      • Stores and retrieves car reviews.
      • Uses MongoDB for data persistence.
      • Dockerized and deployed on OpenShift.
  • Django Server:
    • Primary server for user interactions.
    • Handles user registration and login.
    • Renders static pages.
    • Routes requests to React frontend and Node.js API.
    • Utilizes Django ORM for user and car model management.
  • Flask Sentiment Analysis API:
    • Dockerized and deployed as a separate service.
    • Analyzes user reviews to determine sentiment (positive, neutral, negative).
    • Provides sentiment analysis results to the Django server.

• React Frontend:

  • Dynamically renders user interfaces for specific pages.
  • Seamlessly integrates with the Django server and Node.js API.

• GitHub Actions:

  • Automated workflow for continuous integration and continuous deployment (CI/CD).
  • Ensures smooth and reliable updates to the application.

• User-Friendly Interface:

  • Browse available dealerships and their services.
  • Leave reviews for dealerships.
  • View reviews and sentiment analysis results.

Technology Stack

• Frontend: React
• Backend: Django, Node.js, Flask
• Database: MongoDB
• Containerization: Docker
• Deployment: OpenShift
• Cloud Services: Code engine
• CI/CD: GitHub Actions

Project Structure

 car_dealership_app/
├── dealership_api/  # Node.js API
│   ├── server.js
│   ├── models/
│   ├── controllers/
│   ├── routes/
│   ├── Dockerfile
│├── django_server/
│   ├── manage.py
│   ├── apps/
│   │   ├── users/
│   │   ├── cars/
│   │   ├── reviews/
│   ├── templates/
│   ├── static/
│   ├── settings.py
│   ├── urls.py
│   ├── requirements.txt
│├── flask_sentiment_analyzer/
│   ├── app.py
│   ├── Dockerfile
│├── react_frontend/
│   ├── src/
│   ├── public/
│   ├── package.json
│├── github_workflows/
│   ├── ci.yml
│   ├── cd.yml
│├── README.md
│├── requirements.txt

Getting Started

1. Clone the repository:

   git clone <repository_url>
   Install dependencies:```
   

2. Install dependencies:

cd dealership_api && npm install
cd ../django_server && pip install -r requirements.txt
cd ../flask_sentiment_analyzer && pip install -r requirements.txt
cd ../react_frontend && npm install
Start development servers:

3. Start development servers:

• Node.js API: npm start
• Django Server: python manage.py runserver
• Flask Sentiment Analyzer: flask run
• React Frontend: npm start
• Access the application:

4. Access the application:

• Open your web browser and navigate to http://localhost:8000 (or the appropriate port).