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This repository is used to download the batch files for astro plasma datasets: Emission spectrum and Ionization.

1. Clone the repository

   git clone [email protected]:tbhaxor/CloudyPlasmaServer.git

2. Create and source a virtual environment (recommonded, but optional)

   virtualenv .venv
   source .venv/bin/activate

3. Upgrade pip and install dependencies

   pip install -U pip
   pip install -r requirements.txt

   Note If you are maintaining or into development of this repository, please consider using poetry.

4. Provide environment file

   cat <<EOF > .env
   IONIZATION_DATASET_DIR='/path/to/directory/containing/ionization-batches'
   EMISSION_DATASET_DIR='/path/to/directory/containing/emission-batches'
   EOF

5. Migrate the database

   python manage.py migrate

Once you have performed the steps from the Setup, you are good to go

python manage.py runserver

This will open the 8000 port by default, but you can change it using the following command

python manage.py runserver 127.0.0.1:<PORT>

Replace the placeholder <PORT> with the port number of your choice.

Get rid of all the hassle of setup and getting started. You can use the following

Requirements Docker runtime installed on your system

1. Pull the image

   docker pull ghcr.io/tbhaxor/astro-data:latest

2. Run the docker container with appropriate container. This will iniitally create a container and start it

   docker run -d -p 5000:5000 \
   -e EMISSION_DATASET_DIR=/data/emission-data -e IONIZATION_DATASET_DIR=/data/ionization-data \
   -v /path/of/emission/batches:/data/emission-data:ro -v /path/of/ionization/batches:/data/ionization-data:ro \
   --name astro-data ghcr.io/tbhaxor/astro-data:latest

   Note Replace the /path/* placeholder with the actual path of emission and ionization data on your host system.

   This will start the server on the http://localhost:5000, you can open this url in the browser to interact with the server.

3. Stop and restart the server

   # stop the container
   docker stop astro-data
   
   # restart the container
   docker start astro-data

Note On updates, all you need to do is follow docker setup from step 1. Make sure you delete the container (docker rm -f astro-data) before moving forward.