Mark Reyes
10/09/2024, 6:40 AMMarvin
10/09/2024, 6:40 AMprefect.yaml
configuration file. When defining your job variables under the job_variables
section, you can specify environment variables. The documentation does not explicitly clarify whether you can append to existing environment variables, but it suggests that you can use existing environment variables from your local environment by templating them into your deployment configuration.
Here's a brief guide on how to set job variables:
1. Add the job_variables
section to your deployment definition in the prefect.yaml
file:
deployments:
- name: demo-deployment
entrypoint: demo_project/demo_flow.py:some_work
work_pool:
name: local
job_variables:
env:
EXECUTION_ENVIRONMENT: staging
MY_NOT_SO_SECRET_CONFIG: plumbus
schedule: null
2. Deploy the flow using:
prefect deploy -n demo-deployment
3. These job variables should then be visible under the Configuration tab of the deployment in the Prefect UI.
If you are considering using existing environment variables, it suggests that you can template them, indicating some level of flexibility, but specifics about appending aren't included in the snippets available.
For more detailed instructions, you can view the full Prefect 2.x guide on overriding job variables here. If you have further questions about behavior not explicitly mentioned in the guide, reaching out on Prefect's community forums or Slack could provide more personalized insights.Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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