Run this command when you are building the app for the first time or everytime you update the dependencies (requirements.txt, etc).

docker build -t cardiac-sense-ci:latest --progress tty .

Start a container with the following command, which allows the user to enter linux shell terminal by mounting the project directory to the /app directory of the container. In addition, this command publishes the container ports: 8888 (Jupyter Server) and 8050 (Dash Server) to the host's ports 8888 and 8050, respectively.

• Linux

docker container run --rm -it -v $PWD:/app -p 8888:8888 -p 8050:8050 --name cardiac-sense cardiac-sense-ci:latest bash

For developers who love to use VSCode IDE, you can refer to the Developing Inside The Container section from the documentation. After running this command, you can keep the container running by not killing the terminal and then, attach to the running container from the VSCode.

• Windows (Powershell)

docker container run --rm -it -v ${pwd}:/app -p 8888:8888 -p 8050:8050 --name cardiac-sense cardiac-sense-ci:latest bash

To format the code according to PEP8 standard, you can use the following command. This code formatting command doesn't work on Jupyter notebooks. We'll have to find out how to do this for the notebooks as well in the future.

autopep8 --aggressive --aggressive --in-place app/*.py app/models/*.py app/views/*.py -v

By running this command inside the container, you can access the jupyter notebook at localhost's port 8888.

jupyter notebook --allow-root --ip 0.0.0.0 --port 8888

docker compose run -p 8050:8050 --rm -it cardiac-sense-ci python3 tools/dataset_downloader.py

python3 app/main.py

• Start the container, named cardiac-sense using the following command, if you are building the docker image for the first time or the requirements*.txt has been updated.

docker compose up --build

• Otherwise, you can run it without the --build flag.

• Once you finished working with the container, run the following to stop the container.

docker compose down

Linux

• Dash App
• Jupyter Notebook

Windows

• Dash App
• Jupyter Notebook

• Mr. Aung Khant Maw

• Ms. Khaing Su Thway

• Awesome-Dash - https://github.com/ucg8j/awesome-dash?tab=readme-ov-file