@Marvin I am attempting to run a

prefect-dbt-flow

with code

from prefect_dbt_flow import dbt_flow
from prefect_dbt_flow import DbtProfile, DbtProject, DbtDagOptions

@flow(log_prints=True)
def dbt_run():
    dbt_flow(
        project=DbtProject(
            name="sample",
            project_dir=os.getcwd() + "/dbt",
            profiles_dir=os.getcwd() + "/dbt"
        ),
        profile=DbtProfile(
            target="local",
        ),
        dag_options=DbtDagOptions(
            select="+model_1"
        )
    )

if __name__ == "__main__":
    dbt_run()

Why is nothing happening in the prefect UI?

It seems you might be missing some necessary configurations or components. Here are a few possible reasons why your flow isn't appearing in the Prefect UI: 1. Prefect Deployment: - Ensure your flow is deployed. Prefect 2.x requires flows to be converted into deployments. - Example:

python
     from prefect.deployments import Deployment
     from your_flow_source import dbt_run
     
     deployment = Deployment.build_from_flow(
         flow=dbt_run,
         name="dbt-run-deployment",
         work_queue_name="default"
     )

     if __name__ == "__main__":
         deployment.apply()

Run the deployment script to ensure the flow is registered in Prefect. 2. Worker is Running: - Verify that the appropriate worker is running, as agents are deprecated in favor of workers.

sh
     prefect worker start --work-queue "default"

3. Environment Variables: - Ensure that the environment variables

PREFECT_API_URL

and

PREFECT_API_KEY

(if you're using Prefect Cloud) are correctly set.

sh
     export PREFECT_API_URL="<https://api.prefect.cloud>"
     export PREFECT_API_KEY="your-api-key"

4. Namespace and Path Issues: - Ensure your

profiles_dir

and

project_dir

paths are correctly set and accessible. These steps should help you get your flow to appear on the Prefect UI. If you continue to face issues, detailed logs and error messages will be pivotal in diagnosing the problem. For more details, refer to the Prefect documentation. Assuming you follow these steps correctly, your flow should start appearing in Prefect UI seamlessly.

I don't think this is the issue. Something with the prefect-dbt-flow library is not working.

Understood, let’s delve into potential issues specific to the

prefect-dbt-flow

library. 1. Prefect Block Configuration: - Ensure that your

DbtProfile

and

DbtProject

configuration blocks are correctly defined and registered.

python
   from prefect.blocks.system import Secret
   from prefect_dbt import DbtProfile, DbtProject

   secret = Secret.load("your-secret-name")
   profile = DbtProfile(target="your-target", credentials=secret)
   project = DbtProject.load("your-project-name")

2. Debugging Prefect DBT Flow Execution: - Your flow execution might be failing silently. Use debug logging to get more insight.

python
   import os
   from prefect import flow, get_run_logger
   from prefect_dbt.cli.commands import DbtCoreOperation

   @flow(log_prints=True)
   def dbt_run():
       logger = get_run_logger()
       <http://logger.info|logger.info>("Starting dbt run...")

       result = DbtCoreOperation(
           commands=["dbt run"],
           project_dir=os.path.join(os.getcwd(), "dbt"),
           profiles_dir=os.path.join(os.getcwd(), "dbt")
       ).run()

       <http://logger.info|logger.info>(f"dbt run result: {result}")

   if __name__ == "__main__":
       dbt_run()

3. Up-to-Date Library Versions: - Ensure you are using the latest versions of both Prefect and the

prefect-dbt

library.

sh
   pip install --upgrade prefect
   pip install --upgrade prefect-dbt

4. Error Logs and Messages: - Look at the logs for any error messages. You can see these in the Prefect Cloud UI or your local Orion UI, usually under the flow run details. 5. Checking for Open Issues: - Review any relevant open issues on the prefect-dbt GitHub Repo to see if others have encountered and resolved similar problems. Given the search results from GitHub and Prefect documentation, it's likely that something in the configuration or environment setup is causing the issue. For specific details on credential setup and additional configuration, refer to the Prefect DBT integration documentation. This should have the most comprehensive and updated information. If you continue to encounter issues, consider sharing logs or error messages for more focused troubleshooting.

hi @Joshua Caskie - are you sure you're pointed at the server you're intending? ie what does

prefect config view

show?

@Nate, thanks for getting back, I figured it out -- Needed an extra

()

in order to actually run the flow after calling the method, that's on me.

👍