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How to pass volume to docker container?

I am running the below docker command :

docker run -d -v /Users/gowthamkrishnaaddluri/Documents/dfki_sse/demo:/quantum-demo/ -it demo python3 /quantum-demo/circuit.py --res './'

I am trying to run the above command in python and I have the code as follows:

container = client.create_container( image='demo', stdin_open=True, tty=False, command="python3 /quantum-demo/circuit.py --res='./'", volumes=['/Users/gowthamkrishnaaddluri/Documents/dfki_sse/demo', '/quantum-demo/'], detach=True, ) client.start(container=container.get('Id'))

I am not able to see the files which get generated when the python file(circuit.py) is run. The files get generated when I just run the docker command , when I use the container api the file is not seen in the directory. Am I doing something wrong on using the volumes in the client create container? Thanks!

How can I rectify the above problem so that I can map the volume properly? Or please let me know how can I use docker volumes so that the file generated in the docker folder can be copied to the local directory( such as saved neural network model after training)

Thanks!

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Answer

Hi 👋🏻 Hope you are doing well!

So instead of the list, you should use dict and also you should use another method. An example is below:

import docker

client = docker.from_env()
client.containers.run(
    image="python",
    auto_remove=True,
    detach=True,
    tty=False,
    stdin_open=True,
    volumes={
        # path on your machine/host
        "/Users/volodymyr/Development/sandbox/stackoverflow/file.py": {
            "bind": "/mnt/file.py",  # path inside the container
            "mode": "rw",
        }
    },
    command=["python", "/mnt/file.py", "-w", "world!"],
)

# file.py
import argparse


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("-w", "--word")
    args = parser.parse_args()

    print(f"Hello {args.word!s}.")

I tested this code on my machine and it works. (docker sdk version is 6.0.1)

Docs: https://docker-py.readthedocs.io/en/stable/containers.html

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