How do I create a job from the following: airbyte_assets = load_assets_from_airbyte_instance(airbyte_instance)

To create a job from the assets loaded with

load_assets_from_airbyte_instance

, you can use the

define_asset_job

function provided by Dagster. This function allows you to define a job that materializes a set of assets. Here's a step-by-step guide based on the documentation: 1. Ensure you have imported the necessary functions from the

dagster

and

dagster_airbyte

modules. 2. Define your Airbyte instance using the

airbyte_resource

function and configure it with the appropriate host and port. 3. Load your Airbyte assets using the

load_assets_from_airbyte_instance

function and pass the configured Airbyte instance to it. 4. Use the

define_asset_job

function to create a job that materializes the loaded Airbyte assets. Here's an example of how you might do this:

python from dagster import define_asset_job from dagster_airbyte import airbyte_resource, load_assets_from_airbyte_instance  # Configure your Airbyte instance airbyte_instance = airbyte_resource.configured({     "host": "localhost",     "port": "8000", })  # Load your Airbyte assets airbyte_assets = load_assets_from_airbyte_instance(airbyte_instance)  # Define a job that materializes the Airbyte assets airbyte_job = define_asset_job(     name="airbyte_job",     selection=airbyte_assets,     description="A job to materialize Airbyte assets" )  # Now you can execute the job to materialize your assets

Please note that the

selection

parameter in

define_asset_job

should be a list of asset keys or a function that filters/selects assets. If

load_assets_from_airbyte_instance

returns a list of assets, you can pass it directly. Otherwise, you may need to adjust the selection accordingly. Remember to replace

"localhost"

and

"8000"

with the actual host and port of your Airbyte instance. Also, ensure that the

airbyte_instance

is properly configured with any additional required parameters such as authentication credentials if needed. This example follows the general pattern described in the documentation for creating jobs from assets. If you need to customize the job further, such as adding resources or configuring execution options, you can do so by passing additional arguments to

define_asset_job

.