@Scout How can I run

dbt ls

and get the results back using dbt cli ?

To run the

dbt ls

command and retrieve the results using the dbt CLI through Dagster, you would typically use the

DbtCliResource

provided by the

dagster_dbt

library. The

DbtCliResource

allows you to execute dbt CLI commands and interact with the output. Here's a general example of how you might use the

DbtCliResource

to run the

dbt ls

command, based on the documentation:

python from dagster_dbt import DbtCliResource  # Instantiate the DbtCliResource with the appropriate project directory dbt = DbtCliResource(project_dir="/path/to/dbt/project")  # Run the `dbt ls` command dbt_cli_invocation = dbt.cli(["ls"]).wait()  # Retrieve the raw output (stdout) of the dbt CLI process raw_output = dbt_cli_invocation.raw_output  # The raw_output variable now contains the results of the `dbt ls` command print(raw_output)

In this example, you create an instance of

DbtCliResource

with the necessary configuration, such as the

project_dir

. Then, you invoke the

cli

method with the arguments for the dbt command you want to run, in this case,

["ls"]

. After waiting for the command to complete with

.wait()

, you can access the raw output of the command using the

raw_output

attribute of the invocation object. Please note that the exact implementation details may vary depending on your specific setup and the version of the

dagster_dbt

library you are using. Always refer to the latest documentation for the most accurate and up-to-date usage instructions.