Master EAD

This is an all-in-one tool for managing data. Some key features include:

Multiple Admins: You can have multiple admins for your data. This is useful for teams that need to manage data together.
Data Management: You can manage your data in a variety of ways. This includes adding, editing, and deleting data.
Data Relationships: You can create relationships between your data. This is useful for creating a network of data.

Getting Started

There are two ways to get started with Master EAD. You can either deploy it manually or use the Docker image method.

Clone the repository

git clone https://github.com/gauravjot/ead.git

Set up a virtual environment and activate it.

cd ./backend
python3 -m venv venv

Linux/MacOS

source venv/bin/activate

Windows

.\venv\Scripts\activate

Install the required packages

pip install -r requirements.txt

Set environment variables for Django. Rename sample.env to .env and fill in the required fields.
Run database migrations
```
python manage.py makemigrations users items admins
python manage.py migrate
```
If you encounter any issues, please refer to the Django Documentation.
For Production: Set up a Django production environment. Follow this guide - Deploy Django REST APIs on Ubuntu Server with uWSGI.

For Development: Run the Django server
```
python manage.py runserver 0.0.0.0:8000
```
Go to the frontend directory and install the required packages
```
npm install
```
Set environment variables for the frontend. Rename sample.env to .env and update fields as required.
For Production: Build the frontend
```
npm run build
```
You can then serve the static files using a web server like Nginx.

For Development: Run the frontend server
```
npm run dev
```

Clone the repository.
Edit the deploy/backend.env and deploy/frontend.env files to set the IP address on which the app will be accessible.
Run the makefile in root directory.
```
make build
```
This will build the docker image for the project and the application will be available through port 80 of the image.
Run the docker container.
```
make run
```
This will run the container and the application will be available on port 8080 of the host machine. You can change the port in the Makefile.

There are several ways you can contribute to this project:

Code Contributions: You can help us by writing code, fixing bugs, and implementing new features. Check out the Issues section for tasks that need attention or suggest improvements.
Bug Reports: If you encounter a bug while using Letsnote, please report it in the Issues section. Be sure to include relevant details that can help us reproduce the issue.
Feature Requests: Have an idea for a new feature? Share it with us in the Issues section. We encourage discussions around potential enhancements to the project.

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