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Description
I am unable to use a python keyword argument (aka named parameter) within a cube_dbt Jinja template.
This argument is noted here, and in the cube documentation, as being able to be defined with a keyword argument:
https://github.com/cube-js/cube_dbt/blob/main/src/cube_dbt/model.py#L90
I'll use the following example to explain
{% set model = dbt_model('my_table') %}
cubes:
- {{ model.as_cube() }}
dimensions:
{{ model.as_dimensions(skip=['my_bad_time_column']) }}
Expected Behavior
The runtime compilation would skip ingestion of my_table.my_bad_time_column
Current Behavior
Cube fails to runtime compile its semantic layer, because it attempts to include that column.
RuntimeError: Unknown column type of my_table.my_bad_time_column: timestamp_ntz
Current Workaround
Pass the parameter as a positional argument. This works for me:
{% set model = dbt_model('my_table') %}
cubes:
- {{ model.as_cube() }}
dimensions:
{{ model.as_dimensions(['my_bad_time_column']) }}
Context (Environment)
Running the Docker Image cubejs/cube:v0.35.47
with notable environment variables of
CUBEJS_DEV_MODE=true
CUBEJS_DB_TYPE="snowflake"
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