TrainsFilter is a core microservice of the Travel-Booking-Framework that provides an advanced search and filtering system for Trains. This service is developed using Django and Elasticsearch, allowing for fast and efficient Train searches based on multiple criteria.

• Train Search: Search Trains based on origin, destination, date, and other parameters.
• Advanced Filters: Filter Trains by price, duration, departure time, and other factors.
• Train Management: Add, update, and delete Train information.

• Python 3.x
• Django
• Elasticsearch

1. Clone the Repository:

   git clone https://github.com/Travel-Booking-Framework/TrainsFilter.git
   cd TrainsFilter

2. Create and Activate a Virtual Environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use: venv\\Scripts\\activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Setup Elasticsearch: Ensure that Elasticsearch is installed and running on your system. Update the Django settings (settings.py) with the correct Elasticsearch configuration.

• TFilter/: Contains the core settings and configurations for Django.
• TrainsFilter/: Manages Train-related operations and filtering functionalities.
• Class-Diagram/: Provides class diagrams for understanding the project architecture.
• logs/: Contains logs files.

We welcome contributions from the community! To contribute:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Commit your changes.
4. Submit a Pull Request.

• Create a Superuser: To create an admin account, use the command:

  python manage.py createsuperuser

• GraphQL Support: This project includes GraphQL capabilities, which can be accessed at /graphql/.