@Marvin I am setting up a flow to execute a DBT job. with Prefect how do I check what environment I am running the job in? I want local runs on my computer to use one user profile, and cloud runs to use a production user profile

To distinguish between local and cloud execution contexts and use different user profiles accordingly in a Prefect flow, you can manually set an environment variable or use a configuration setting that determines the environment in which the flow run is taking place. In the Prefect documentation, there is no direct mention of a built-in feature to check whether a flow is running locally or on Prefect Cloud. However, you could use environment variables, Prefect Context, or configuration settings to achieve this. Here's a conceptual example based on the search results, although this example isn't directly from the documentation, it's a strategy that can be employed:

python
from prefect import task, Flow
import os

@task
def get_user_profile():
    # Check an environment variable to determine the run context
    env = os.getenv('PREFECT_ENV', 'production')
    
    if env == 'development':
        return "dev_user_profile"
    else:
        return "prod_user_profile"

with Flow("dbt_flow") as flow:
    user_profile = get_user_profile()
    # ... more flow tasks using the obtained user_profile

# Set the environment variable before running the flow locally
os.environ['PREFECT_ENV'] = 'development'

# for production in cloud do not set the environment variable or set to 'production'

In this example, an environment variable

PREFECT_ENV

is used to determine the environment. When you run the flow on your local machine, you set

PREFECT_ENV=development

, and for cloud runs, you either don't set the variable or set it to

production

. Depending on the value of

PREFECT_ENV

,

get_user_profile

will return the appropriate user profile. You would need to set environment variables differently depending on whether you're running locally or in the cloud. For local runs, you could set them in your shell or through a

.env

file. For cloud runs, you'd set them in your cloud environment or through Prefect's UI for environment configuration. Remember to ensure that your strategy for toggling between environments aligns with your CI/CD process and infrastructure setup. For further reading on using environment variables and configuring Prefect, you can refer to these links: - Prefect Core's Environment Variable Config - Prefect Security For a more specific solution or if there's a feature in Prefect 2.x that facilitates the distinction between local and cloud execution contexts, I'd recommend reaching out to the Prefect community or looking into the Prefect 2.x documentation.