cube_dbt is the dbt integration for Cube that helps define the data model of the semantic layer on top of dbt models.
pip install cube_dbtmanifest_url = 'https://bucket.s3.amazonaws.com/manifest.json' dbt = ( Dbt .from_url(manifest_url) .filter( paths=['marts/'], tags=['cube'], names=['my_table', 'my_table_2'] ) ) print(dbt.models) # For use in Jinja templates: print(dbt.model('name').as_cube()) print(dbt.model('name').as_dimensions(skip=['id'])) print(dbt.model('name').column('name').as_dimension())Run tests:
pdm run testIn case of a massive manifest file, it can be preprocessed for optimal performance. The cube_dbt package only reads the nodes dictionary where resource_type is model. Here's a list of all keys used by the cube_dbt package:
- nodes - name - path - description - config - materialized - tags - resource_type - database - schema - alias - relation_name - columns - name - description - data_type - meta - tags