Qconnect API Backend Server

This is a chat application backend server built using Django and Django REST Framework. It provides several endpoints to manipulate the data in the database and manage chat functionality.

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Features

• User authentication and authorization
• CRUD operations for messages
• User profile management
• Real-time chat functionality

Frontend Repository

The frontend application for Qconnect is developed using Flutter and can be found at Qconnect Frontend. It provides the user interface for interacting with the Qconnect API backend.

To set up the complete Qconnect application, follow the instructions in the Qconnect Frontend repository for installing and configuring the Flutter frontend application.

Backend Repository

This repository contains the backend server implementation for Qconnect. For information on setting up and running the backend server, please refer to the instructions in this repository.

Installation

1. Clone the repository:

git clone https://github.com/seabeePraveen/Qconnect-Backend.git
cd Qconnect-Backend

2. Create and activate a virtual environment:

python3 -m venv venv
source venv/bin/activate

3. Install the dependencies:

pip install -r requirements.txt

4. Set up the database:

python manage.py makemigrations
python manage.py migrate

5. Start the Server

python manage.py runserver

API Endpoints

The following API endpoints are available:

• POST /api/login/: Obtain an access token for authentication (Token-based authentication)
• POST /api/register/: User registration
• POST /api/update/: Update current user information based on token
• POST /api/delete/: Delete current user
• POST /api/get_user/: Retrieve current user information based on token
• POST /api/get_user_with_string/: Retrieve users by starting string (Useful for search functionality)
• POST /api/get_last_messages_of_user_and_details/: Retrieve last messages of a user and their details
• POST /api/get/: Get messages of user2 (Retrieve messages between current user and user2)
• POST /api/send/: Send the entered message and save it in DataBase

Contributing

Contributions are welcome! If you find any issues or have suggestions, please feel free to create an issue or submit a pull request.