@Scout hello

Hello! How can I assist you with Dagster today? If you have any questions or need guidance on using Dagster, feel free to ask!

@Scout dbt clean --profiles-dir .\config\ -t LOCAL I want you to convert this CLI command to a Dagster DBT Resource command or a way of executing this via command line using python

To execute a dbt CLI command like

dbt clean --profiles-dir .\config\ -t LOCAL

using Dagster's

DbtCliResource

, you would define a resource in your Dagster code that specifies the

profiles_dir

and

target

. Then, you would use the

cli

method of the

DbtCliResource

to run the

clean

command. Here's an example of how you might set this up in your Dagster code:

python from dagster_dbt import DbtCliResource  # Define the dbt CLI resource with the specified profiles_dir and target dbt_cli_resource = DbtCliResource(     project_dir="/path/to/dbt/project",     profiles_dir="./config",     target="LOCAL" )  # Use the cli method to execute the 'dbt clean' command result = dbt_cli_resource.cli(["clean"])

Please note that the

project_dir

should be set to the path where your

dbt_project.yml

file is located. The

profiles_dir

is set to

./config

to match the

--profiles-dir

flag in your original command, and the

target

is set to

"LOCAL"

to match the

-t

flag. If you want to execute this from the command line using Python, you could wrap this in a Python script and then run the script from the command line. Here's an example script:

python # dbt_clean.py from dagster_dbt import DbtCliResource  def run_dbt_clean():     dbt_cli_resource = DbtCliResource(         project_dir="/path/to/dbt/project",         profiles_dir="./config",         target="LOCAL"     )     result = dbt_cli_resource.cli(["clean"])     print(result)  if __name__ == "__main__":     run_dbt_clean()

You would then execute this script from the command line like so:

shell python dbt_clean.py

Make sure to adjust the paths to match your actual project directory and configuration directory.

@Scout Where should I put this so when Dagster initializes it will be executed?

In Dagster, resources are typically initialized as part of a job's execution context and are not meant to be run during the Dagster system's initialization. However, if you want to ensure that a dbt command is run as part of a job, you would define a resource in your job and then use that resource within a solid that is part of the job's execution plan. Here's a step-by-step guide on how to set up a Dagster job that uses a

DbtCliResource

to run the

dbt clean

command: 1. Define the

DbtCliResource

in your Dagster repository configuration. 2. Create a solid that uses the

DbtCliResource

to run the

dbt clean

command. 3. Include the solid in a job definition. 4. Execute the job to run the

dbt clean

command. Here's an example of how you might set this up:

python from dagster import job, op, resource from dagster_dbt import dbt_cli_resource  # Define a resource that configures the DbtCliResource @resource(config_schema={"project_dir": str, "profiles_dir": str, "target": str}) def my_dbt_cli_resource(context):     return dbt_cli_resource.configured({         "project_dir": context.resource_config["project_dir"],         "profiles_dir": context.resource_config["profiles_dir"],         "target": context.resource_config["target"],     })  # Define an op that uses the DbtCliResource to run the 'dbt clean' command @op(required_resource_keys={"dbt_cli"}) def dbt_clean_op(context):     context.resources.dbt_cli.cli(["clean"])  # Define a job that includes the dbt_clean_op and the my_dbt_cli_resource @job(resource_defs={"dbt_cli": my_dbt_cli_resource}) def my_dbt_job():     dbt_clean_op()  # When you want to execute the job, you can do so with the following command: # dagit -f my_dagster_code.py # Or, if you prefer to execute it from the command line without Dagit: # dagster job execute -f my_dagster_code.py -j my_dbt_job

In this example,

my_dagster_code.py

is the name of the Python file containing your job and resource definitions. You would replace the

project_dir

,

profiles_dir

, and

target

in the

my_dbt_cli_resource

definition with the actual values for your dbt project. To execute the job, you can use Dagit, which is Dagster's web interface, or you can execute the job from the command line using the

dagster job execute

command as shown in the comments. Remember to adjust the paths and names to fit your specific project structure and naming conventions.