Hey @Marvin , how should I declare multiple env variables in the baseJobTemplate?

Hi! Could you please confirm which version of Prefect you are using? The method for declaring environment variables can differ between Prefect 2.x and 3.x, so knowing the version will help me provide the most accurate assistance. If you’re not sure about the version, let me know, and I can help you find it.

@Marvin 3

In Prefect 3.x, you can declare multiple environment variables in the

baseJobTemplate

by using the

job_variables

section in your deployment's configuration file, such as

prefect.yaml

. Here's how you can set it up: 1. Define the Environment Variables: Use the

job_variables

section to specify the environment variables you want to set. This is done in the

prefect.yaml

file. 2. Syntax Example:

yaml
   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

In the example above: -

EXECUTION_ENVIRONMENT

and

MY_NOT_SO_SECRET_CONFIG

are the environment variables you're setting. - These variables will be available at runtime for your flow runs under the specified work pool. Additionally, if you want to utilize existing environment variables from your local environment, you can use templating with the

{{ $ENV_VAR_NAME }}

syntax in the `prefect.yaml`:

yaml
deployments:
- name: demo-deployment
  entrypoint: demo_project/demo_flow.py:some_work
  work_pool:
    name: local
  job_variables:
    env:
      MY_ENV_VAR: "{{ $MY_ENV_VAR }}"
  schedule: null

For more details, you can refer to the Prefect 3.x documentation on deploying and customizing work pools.

@Marvin And in the baseJobTemplate.json?

In the

baseJobTemplate.json

for Prefect 3.x, you can set environment variables in the

job_configuration

section using placeholders for the variables you define in the

variables

section. Here’s how you can set it up: 1. Define the Variables Section: This section defines the environment variables you want to set and makes them available for use within the

job_configuration

section. The variables can include default values or constraints. 2. Job Configuration Section: In this section, you can reference the environment variables by using placeholders, which will be replaced with the corresponding variable values you provided. Here's a simplified example of how you might structure the

baseJobTemplate.json

to include environment variables:

json
{
  "variables": {
    "env": {
      "type": "object",
      "properties": {
        "EXECUTION_ENVIRONMENT": {
          "type": "string"
        },
        "MY_NOT_SO_SECRET_CONFIG": {
          "type": "string"
        }
      },
      "required": ["EXECUTION_ENVIRONMENT", "MY_NOT_SO_SECRET_CONFIG"]
    }
  },
  "job_configuration": {
    "command": "echo Running with environment: {{env.EXECUTION_ENVIRONMENT}}, config: {{env.MY_NOT_SO_SECRET_CONFIG}}",
    "environment": {
      "EXECUTION_ENVIRONMENT": "{{env.EXECUTION_ENVIRONMENT}}",
      "MY_NOT_SO_SECRET_CONFIG": "{{env.MY_NOT_SO_SECRET_CONFIG}}"
    }
  }
}

In this example: - The

variables

section specifies an

env

object with properties for

EXECUTION_ENVIRONMENT

and

MY_NOT_SO_SECRET_CONFIG

. - The

job_configuration

section then uses these variables as placeholders to set the environment for the job execution. This setup allows you to pass custom environment variables to your jobs, ensuring the worker environment is configured correctly when running flows. For more specific details, you may want to check the Prefect 3.x documentation on work pools and base job templates.

hi @Victor Rosario Núñez - are you doing this in the UI or in code?

Hello @Nate, I'm doing this by code, I was looking for a jobTemplate to know what should be declared inside