Social Media Automation Dashboard with Django

Let's build a comprehensive social media automation dashboard using Python Django that includes web scraping for content collection, social media post scheduling, and automated testing.

Project Structure

Here's how we'll structure our Django project:

Core Files Implementation

Let's start with the essential files for our Django project:

Dashboard App

Web Scraper App

Social Posts App

Templates and Static Files

I found some issues in the code block.

• The bootstrap variable is undeclared.

I will fix them.

Automated Testing

Deployment and Live Demo Setup

Live Demo Instructions

2. Create and activate a virtual environment:

   python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Create a .env file in the project root with the following variables:

   SECRET_KEY=your-secret-key DEBUG=True ALLOWED_HOSTS=localhost,127.0.0.1 # Database DATABASE_URL=sqlite:///db.sqlite3 # Celery CELERY_BROKER_URL=redis://localhost:6379/0 CELERY_RESULT_BACKEND=redis://localhost:6379/0 # Social Media API Keys TWITTER_API_KEY=your-twitter-api-key TWITTER_API_SECRET=your-twitter-api-secret TWITTER_ACCESS_TOKEN=your-twitter-access-token TWITTER_ACCESS_SECRET=your-twitter-access-secret FACEBOOK_APP_ID=your-facebook-app-id FACEBOOK_APP_SECRET=your-facebook-app-secret LINKEDIN_CLIENT_ID=your-linkedin-client-id LINKEDIN_CLIENT_SECRET=your-linkedin-client-secret INSTAGRAM_USERNAME=your-instagram-username INSTAGRAM_PASSWORD=your-instagram-password

5. Run migrations:

   python manage.py migrate

6. Create a superuser:

   python manage.py createsuperuser

7. Run the development server:

   python manage.py runserver

8. In a separate terminal, start Celery worker:

   celery -A social_media_dashboard worker -l info

9. In another terminal, start Celery beat for scheduled tasks:

   celery -A social_media_dashboard beat -l info
10. Access the application at http://localhost:8000

Docker Setup

1. Make sure you have Docker and Docker Compose installed.

2. Create a .env file as described above, but update the database and Redis URLs:

   DATABASE_URL=postgres://postgres:postgres@db:5432/postgres CELERY_BROKER_URL=redis://redis:6379/0 CELERY_RESULT_BACKEND=redis://redis:6379/0

3. Build and start the containers:

   docker-compose up -d

4. Create a superuser:

   docker-compose exec web python manage.py createsuperuser
5. Access the application at http://localhost:80

Deployment

For production deployment, follow these steps:

1. Update the .env file with production settings:

   SECRET_KEY=your-secure-secret-key DEBUG=False ALLOWED_HOSTS=yourdomain.com,www.yourdomain.com
2. Update the Nginx configuration in deployment/nginx/app.conf with your domain.

3. Set up SSL certificates using Certbot:

   docker-compose run --rm certbot certonly --webroot -w /var/www/certbot -d yourdomain.com -d www.yourdomain.com

4. Deploy using Docker Compose:

   docker-compose -f docker-compose.yml up -d

Setting Up the Demo Environment

To populate the application with sample data for demonstration purposes:

This script creates a demo user and populates the database with sample scraping sources, content, social accounts, posts, and more.

Running Tests

To run the automated tests:

For more detailed test output:

To run tests with coverage report:

Project Structure

The project is organized into several Django apps:

• dashboard: Main dashboard and user interface
• web_scraper: Web scraping functionality
• social_posts: Social media posting and scheduling
• content_library: Content management and organization
• analytics: Analytics and reporting

Technologies Used

• Backend: Django, Celery, Redis
• Frontend: Bootstrap, Chart.js, jQuery
• Database: PostgreSQL (production), SQLite (development)
• Testing: pytest, pytest-django
• Deployment: Docker, Nginx, Certbot

Contributing

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

License

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

Acknowledgments

• Beautiful Soup for web scraping
• Tweepy for Twitter API integration
• Facebook SDK for Facebook integration
• LinkedIn API for LinkedIn integration
• Instagrapi for Instagram integration

Screenshots

Contact

For questions or support, please contact your-email@example.com