This is my way of using docker for my python projects. I am a researcher and I need to update my code several times. I would like to just update my code and re-run my python code without any docker manipulation so I came up with this DockerTemp project.
- docker folder : It contains Dockerfile, docker-compose.yml and requirements.txt to create docker image
and one entry point script : dockertemp.py. dockertemp.py takes a config file as input from mounted volume
I called /usr/src/temp/
and this script will launch the script given in config.json
CMD [ "./dockertemp.py", "/usr/src/temp/config.json" ] - config file: contains "script", path to python script to run, "params" contains its params and logging.ini for the logs.
{
"params": "Everyone",
"script": "/usr/src/temp/hello.py",
"logging": "/usr/src/temp/logging.ini"
}
- code-example : Your code goes there. I provided a sample hello example. You can have different configs file to run different code. scripts contain .sh file that runs docker.