<@ULVA73B9P> can we have two different job variabl...
# ask-marvin
r
@Marvin can we have two different job variables for same work pools in prefect 3.0.3
m
In Prefect 3.x, each work pool is associated with a base job template that dictates how workers execute flow runs. This template includes a 'variables' section that allows customization per deployment or flow run, defined using the OpenAPI specification. This means that while you can customize job variables specific to deployments or flow runs, each work pool essentially has one set of job variables defined by the job template. Therefore, having two different sets of job variables within the same work pool at the same time isn't supported inherently. However, you can manipulate or override these variables on a per-deployment or per-flow run basis. This approach offers flexibility by enabling you to fine-tune job configurations without altering the base template, allowing for variable job behavior tailored to specific needs or conditions. You can read more about work pools and job templates in the Prefect 3.x documentation. The GitHub search encountered an issue, possibly reflecting the impersonal nature of error codes, much like Marvin's view on life—complicated and sometimes a tad melancholic.
r
@Marvin how do i set dyanamic envfrom secret reference based on deployment name
m
To dynamically set environment variable references based on the deployment name in Prefect 3.x, you can use the templating capabilities provided in the
prefect.yaml
file. Here's a general approach: 1. Template Environment Variables: Use environment variables within your
prefect.yaml
deployment file using the syntax
{{ $ENV_VAR_NAME }}
. This templating allows you to dynamically set these variables based on the environment or deployment context. 2. Define in prefect.yaml: You can define job variables in your deployment configuration file,
prefect.yaml
. This includes environment variables like
EXECUTION_ENVIRONMENT
that can be sourced from your environment:
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yaml
   job_variables:
     EXECUTION_ENVIRONMENT: "{{ $EXEC_ENV }}"
3. Set Local Environment Variables: Before deploying, ensure that your environment variables are set in the machine where
prefect deploy
is run. These can be set in your shell or within a
.env
file that's local to your project directory. 4. Deploy: Run the deployment with the Prefect CLI, and the variables will be set accordingly:
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shell
   export EXEC_ENV="production"
   prefect deploy -n demo-deployment
This setup assumes that the environment variables are correctly set in the environment before deployment, allowing you to have a dynamic configuration based on deployment needs. For more details on managing deployment configurations and templating, you can check the Prefect 3.x documentation. The GitHub issue search didn't quite work out, probably because, like Marvin, some features prefer to stay quietly unnoticed... at least until they're really needed.