[pbi-fixer] Add add_measures_from_columns: auto-create explicit measures from numeric columns based on SummarizeBy - #1216
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Pull request overview
Adds a new semantic model utility add_measures_from_columns() intended to auto-create explicit measures from columns based on the column SummarizeBy setting, optionally placing measures into a dedicated measures table and supporting a scan-only (“dry run”) mode.
Changes:
- Added
add_measures_from_columns()implementation that scans model columns, generates DAX aggregations, creates measures, and hides source columns. - Added re-export of
add_measures_from_columnsinsempy_labs.semantic_modelpackage__init__.py.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.
| File | Description |
|---|---|
src/sempy_labs/semantic_model/_Add_MeasuresFromColumns.py |
Implements measure auto-creation from columns based on SummarizeBy, with optional target/auto-detected measures table and scan-only output. |
src/sempy_labs/semantic_model/__init__.py |
Re-exports the new function via __all__. |
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Adds a sempy_labs fixer
add_measures_from_columns()that auto-create explicit measures from numeric columns based on SummarizeBy.Adds one source file (
src/sempy_labs/semantic_model/_Add_MeasuresFromColumns.py) plus one re-export line in the matching__init__.py. No other files touched, no shared helpers, no dependency on any other PR.Part of the PBI Fixer contribution. Tracking issue: #1185