@Marvin Is there a recommended approach to configuring our development to ensure that we write to a test schema when running in development and into a production schema when running production?

To configure your Prefect flows for using a different schema in development versus production, you can follow a deployment approach that involves setting different parameters or environment variables for each environment. Here's a general approach based on the information gathered: 1. Use Deployment Parameters: When creating deployments for your flows, you can set different parameters for development and production environments. For example, you can set a

schema

parameter that varies based on the environment. 2. Environment Variables: You can use environment variables to differentiate between development and production settings. Your flow can read these environment variables to determine which schema to use. 3. Secrets Management: Utilize Prefect's secret management capabilities to store and retrieve schema settings securely. ### Example Steps 1. Define the Flow with Environment-Aware Configuration

python
from prefect import flow, task

@task
def get_schema():
    import os
    return os.getenv("DATABASE_SCHEMA", "default_schema")

@task
def perform_db_operation(schema):
    # Your code that uses the schema
    pass

@flow
def my_flow():
    schema = get_schema()
    perform_db_operation(schema)

if __name__ == "__main__":
    my_flow()

2. Set Environment Variables - In your development environment:

sh
  export DATABASE_SCHEMA="dev_schema"

- In your production environment:

sh
  export DATABASE_SCHEMA="prod_schema"

3. Create Deployments with Different Tags or Parameters - For development:

sh
  prefect deployment build my_flow.py:my_flow -n dev-deployment --apply

- For production:

sh
  prefect deployment build my_flow.py:my_flow -n prod-deployment --apply

4. Use Prefect Cloud or Server to Manage Your Deployments - You can then trigger these deployments using Prefect Cloud/Server with appropriate tags or directly via CLI specifying the deployment name. Documentation and Resources - Prefect's guide on Deployments - Prefect's Testing Guide By using these strategies, you can dynamically configure your flows to use different schemas based on the environment, ensuring a clean separation between development and production settings. If you need additional details or code samples, feel free to ask!