pbir-utils 1.1.0

A tool for managing Power BI Enhanced Report Format (PBIR) projects

PBIR Utilities

pbir-utils is a python project designed to streamline the tasks that Power BI developers typically handle manually in Power BI Desktop. This module offers a range of utility functions to efficiently manage and manipulate PBIR metadata.

Features

• CLI Support: Access all utilities directly from the command line.
• Extract Metadata: Retrieve key metadata informations from PBIR files.
• Update Metadata: Apply updates to metadata within PBIR files.
• Report Wireframe Visualizer: Visualize PBIR report wireframe.
• Disable Visual Interactions: Bulk disable interactions in PBIR report.
• Remove Measures: Bulk remove report-level measures.
• Get Measure Dependencies: Extract the dependency tree for report-level measures.
• Update Report Level Filters: Update the filters added to the Power BI report level filter pane.
• Sort Report Level Filters: Reorder filters in report filter pane on a specified sorting strategy.
• Standardize Folder Names: Standardize page and visual folder names to be descriptive.
• Sanitize Power BI Report: Clean up and optimize Power BI reports.

Installation

pip install pbir-utils

CLI Usage

The pbir-utils command is available after installation.

1. Sanitize Report

Sanitize a Power BI report by removing unused or unwanted components.

pbir-utils sanitize "C:\Reports\MyReport.Report" --actions remove_unused_measures cleanup_invalid_bookmarks --dry-run
pbir-utils sanitize "C:\Reports\MyReport.Report" --actions all

2. Extract Metadata

Export attribute metadata from PBIR to CSV.

pbir-utils extract-metadata "C:\Reports\MyReport.Report" "C:\Output\metadata.csv"

3. Visualize Wireframes

Display report wireframes using Dash and Plotly.

pbir-utils visualize "C:\Reports\MyReport.Report"
pbir-utils visualize "C:\Reports\MyReport.Report" --pages "Overview" "Detail"

4. Batch Update

Batch update attributes in PBIR project using a mapping CSV.

pbir-utils batch-update "C:\PBIR\Project" "C:\Mapping.csv" --dry-run

5. Disable Interactions

Disable visual interactions between visuals.

pbir-utils disable-interactions "C:\Reports\MyReport.Report" --dry-run
pbir-utils disable-interactions "C:\Reports\MyReport.Report" --pages "Overview" --source-visual-types slicer

6. Remove Measures

Remove report-level measures.

pbir-utils remove-measures "C:\Reports\MyReport.Report" --dry-run
pbir-utils remove-measures "C:\Reports\MyReport.Report" --measure-names "Measure1" "Measure2"

7. Measure Dependencies

Generate a dependency tree for measures.

pbir-utils measure-dependencies "C:\Reports\MyReport.Report"

8. Update Filters

Update report-level filters.

pbir-utils update-filters "C:\Reports" '[{"Table": "Sales", "Column": "Region", "Condition": "In", "Values": ["North", "South"]}]' --dry-run

9. Sort Filters

Sort report-level filter pane items.

pbir-utils sort-filters "C:\Reports" --sort-order Ascending --dry-run
pbir-utils sort-filters "C:\Reports" --sort-order Custom --custom-order "Region" "Date"

Python API Usage

You can also use the library in your Python scripts:

import pbir_utils as pbir

# Example: Sanitize a report
pbir.sanitize_powerbi_report("C:\\Reports\\MyReport.Report", actions=["remove_unused_measures"])

To get started, refer to example_usage.ipynb notebook, which contains detailed examples demonstrating how to use the various functions available in pbir_utils.