< Marvin> I try to pass environment variables in the `run de Prefect Community #ask-marvin

<@ULVA73B9P> I try to pass environment variables i...

Nils

05/30/2024, 12:58 PM

@Marvin I try to pass environment variables in the

run_deployment

function. However, in the deployment run I get a KeyError saying that the variable does not exist.

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await run_deployment(
        name=step,
        parameters=params,
        flow_run_name=params["run_name"],
        timeout=config[step]["timeout"],
        job_variables={
            "env": config[step]["env"],
        },
    )

Marvin

05/30/2024, 12:58 PM

It seems like the issue you're facing with the

KeyError

when using environment variables in the

run_deployment

function can be addressed by ensuring the environment variables are properly set and accessed on the machine where the script is running. Here's a summary of the relevant Prefect documentation and related information: 1. Overriding Job Variables: - You can override environment variables for a deployment using the

job_variables

parameter. - Example from the Prefect docs:

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python
   run_deployment(
       name="my-deployment",
       work_pool_name="my-pool",
       job_variables={
           "env": {"MY_ENV_VAR": "value"}
       }
   )

Overriding Job Variables Documentation 2. Environment Variables Configuration: - Ensure that the environment variables you want to use are defined in your execution environment. - Example:

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python
     import os
     
     os.environ['MY_ENV_VAR'] = 'value'
     run_deployment(
         name="my-deployment",
         work_pool_name="my-pool",
         job_variables={
             "env": {"MY_ENV_VAR": os.getenv('MY_ENV_VAR')}
         }
     )

3. Environment Variables Visibility: - Prefect might not see the environment variables if they are not set correctly in the context the deployment is running. - Verify the variables are accessible by printing them before running the deployment:

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python
     print(os.getenv('MY_ENV_VAR')) # Ensure it prints the expected value

Given this information, you should verify the steps and ensure the environment variables are set correctly where the deployment script is executed. If the KeyError persists, double-check the syntax and values provided in the

job_variables

. For more details, check these sources: - Prefect Deployment Guide - Overriding Job Variables

Nils

05/30/2024, 1:00 PM

@Marvin How do I access the variable in the deployment? Should I run

load_dotenv()

first?

Marvin

05/30/2024, 1:00 PM

To access the environment variables in your deployment, you can use the

prefect.yaml

configuration file to define job variables. Here's a step-by-step process to achieve this: 1. Define Environment Variables in
prefect.yaml
: You can add a

job_variables

section to your deployment definition, where you specify the environment variables:

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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

2. Use Existing Environment Variables: If you want to use environment variables that are already set in your local environment, you can template these in the

prefect.yaml

file using the

{{ $ENV_VAR_NAME }}

syntax:

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

3. Load Environment Variables in Your Script: If you are using a

.env

file to manage environment variables, you can use the

python-dotenv

package to load them:

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python
   from dotenv import load_dotenv
   import os

   load_dotenv()

   # Access your environment variables
   execution_environment = os.getenv('EXECUTION_ENVIRONMENT')
   secret_config = os.getenv('MY_NOT_SO_SECRET_CONFIG')

   # Your flow or deployment function here

4. Deploy the Flow: After defining the job variables in your

prefect.yaml

file, you can deploy the flow with the specified job variables:

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sh
   prefect deploy -n demo-deployment

This approach ensures that the environment variables are appropriately set and accessible during the deployment execution. You can view these job variables in the Configuration tab of the deployment in the Prefect UI. For more details, refer to the Overriding Job Variables Documentation.

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