@Marvin how to pass python dependencies as a job_variables field in prefect.yaml for deployments?

To pass Python dependencies as a

job_variables

field in the

prefect.yaml

file for deployments, you can specify the dependencies within the

work_pool.job_variables

section of your

deployment.yaml

. Variables are denoted by quotes and double curly brackets in

.yaml

files, and you can use them to template deployment steps. Here's an example of how you might use

job_variables

in your `deployment.yaml`:

yaml
work_pool:
  name: my-work-pool
  job_variables:
    my_python_dependencies: "{{ prefect.variables.my_python_dependencies }}"

In this example,

my_python_dependencies

would be a variable that you define in your Prefect setup, which contains the necessary information about Python dependencies. You would then reference this variable at runtime to modify the Python dependencies being used in a deployment without updating the deployment directly. The

prefect.variables.my_python_dependencies

part is a placeholder that should be replaced with the actual variable you've set up in Prefect that contains the dependencies list. For specific instructions on how to set variables in Prefect and use them in your deployments, you can refer to the Prefect documentation on variables and work pools. Please note that these documents are general guidelines on how to pass variables in the

prefect.yaml

file, and you may need to adapt these instructions according to your specific use case and Prefect version.

🙅