TrackMe Ninja

About the application

TrackMeNinja identifies changes on the site you choose and alerts you on them. Don't spend time going through many sites yourself, leave it to TrackMeNinja

Running on your machine

Virtual environment

For better usability, you can install Python virtual environment and work with the application in enclosed env

Install prerequisites

pip install -r requirements.txt

Run the application

python3 main.py

Code Lint

CI/CD pipeline uses github/super-linter for linting the code. More information on super-linter pages

docker pull github/super-linter:latest
docker run -e RUN_LOCAL=true -v ${PWD}:/tmp/lint github/super-linter

Docker

Docker enables you to run application directly without a need to install and configure the environment. Install Docker

# build the image
docker build . -t trackme
# run the application
docker run --rm -it  -p 8000:8000/tcp trackme:latest

More documentation on Docker:

• uvicorn Docker image
• Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications

Compose

The web application will be available at http://localhost

To start the containers, use the following command:

docker-compose up

To check if the containers are running, use:

docker-compose ps

To rebuild all the containers, use the following command:

docker-compose up --build

To restart the web service, run:

docker-compose restart web

Logs

To tail logs, run:

docker-compose logs -f web