dbt-metrics-converter 0.1.5.3

The dbt converter is a CLI tool that simplifies the process of migrating from the metrics spec supported in dbt v1.5 and earlier to the metrics specification supported in dbt ≥v1.6.

Installing dbt converter

pip install dbt-metrics-converter

Upgrading to dbt v1.6 spec

1. Navigate to the root of your dbt project.
2. pip install dbt-metrics-converter. Note that the converter requires dbt-core==1.5. You may need to update the version range for the dbt_metrics package.
3. Run dbtc convert-metrics. The converter assumes you are in the root of your dbt project. Optionally, you can pass the project path -dbt-project-path path/to/dbt_project. NOTE: All metrics must have a timestamp for the upgrade to run. If your metrics do not have a timestamp, add one before running the converter.
4. Semantic models and metrics files will be created in the semantic_models and metrics directories. Move these folders into your model path.
5. Delete the metrics package, move the old metrics configs out of your model path, or delete them.

Testing your metrics in dbt v1.6

1. Upgrade to dbt v1.6, and pip install dbt-metricflow
2. Remove the old metrics package from your dbt_packages and run dbt clean && dbt deps.
3. Run dbt parse to generate a semantic manifest
4. View the metrics in your dbt project by running mf list metrics
5. Run mf validate-configs —skip-dw to validate metrics configs.
6. To run a test query, run mf query --metrics <metric_name>

Gotchas:

• Some packages, like fivetran/ad_reporting have metrics defined in them using the v1.5 spec, this may cause an error if you try to run your project after upgrading to v1.6
• Make sure to delete any calls of metrics.calculate or metrics.develop they won’t work without the dbt_metrics package