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• Install the Python® SDK as available from https://github.com/docker/docker-py
  
  

  Code Block
  language bash title Install docker-py plugin
  pip install docker

  
  

  • Explanation:
    • Python® has to be available on the machine that the JS7 Agent is operated for. This includes Agents operated on premises and with Docker® containers.
    • This is just an example, there are more ways of installing the Python® SDK for Docker®.
      
      

• Create a workflow with a shell job that imports the Python® SDK like this:
  
  

  Code Block
  language bash title Import docker-py plugin with Agents operated for Unix
  #!/usr/bin/python import docker client = docker.from_env() ...

  Code Block
  language bash title Import docker-py plugin with Agents operated for Windows
  @@findstr/v "^@@f.*&" "%~f0"|python.exe -&goto:eof import docker client = docker.from_env() ...

  
  Explanation:

  • For details on how to invoke Python® from shell jobs see the  JS7 - How to run Python scripts from jobs article.
    
    

• Create JS7 - Job Resources for your containers.
  • Best practice is to use a Job Resource per container.
  • This allows specification of any properties of a container such as image name, host name, container name, mounts etc. from variables of a Job Resource.

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• The job script uses a number of parameters as it maps all options used to run a JS7 Agent from a Docker® container as explained in the JS7 - Agent Installation for Containers article.
• The relevant part is the client.containers.run() function which is parameterized with frequently used options for specifying the image name, hostname, network name etc.
• Environment variables are available from the assigned Job Resource.
• The optional part includes displaying log output created on start-up of the container using the container.logs() function.

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