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Extract Azure DevOps Pull Request metrics to SQLite and generate PowerBI-compatible CSVs.

Project description

ado-git-repo-insights

CI codecov Python License

Extract Azure DevOps Pull Request metrics to SQLite and generate PowerBI-compatible CSVs.


Quick Start

Choose your path:

I want to... Use
Analyze PRs for my team via Azure DevOps pipelines ADO Extension
Run analysis locally or integrate into custom CI/CD Python CLI

Azure DevOps Extension

The ADO Extension provides a self-contained pipeline task with a built-in PR Insights Dashboard directly in your Azure DevOps project.

Install from Marketplace

What you get:

  • Pipeline task that extracts PR metrics automatically
  • Interactive dashboard in your ADO project navigation
  • No Python installation required
  • PowerBI-compatible CSV exports

Get started: Extension User Guide

Minimal Pipeline Example

variables:
  - group: ado-insights-secrets  # Contains PAT_SECRET

steps:
  - task: ExtractPullRequests@2
    inputs:
      organization: 'MyOrg'
      projects: 'Project1,Project2'
      pat: '$(PAT_SECRET)'

  - publish: $(Pipeline.Workspace)/aggregates
    artifact: aggregates

Python CLI

The Python CLI provides full control for local analysis, custom scripts, and non-ADO CI/CD systems.

pip install ado-git-repo-insights

What you get:

  • Command-line tool for extraction and CSV generation
  • Local dashboard server
  • Configuration file support
  • Works anywhere Python runs

Get started: CLI User Guide

Basic Usage

# Extract PR data
ado-insights extract \
  --organization MyOrg \
  --projects "Project1,Project2" \
  --pat $ADO_PAT \
  --database ./ado-insights.sqlite

# Generate CSVs for PowerBI
ado-insights generate-csv \
  --database ./ado-insights.sqlite \
  --output ./csv_output

# View local dashboard
ado-insights build-aggregates --db ./ado-insights.sqlite --out ./dataset
ado-insights dashboard --dataset ./dataset --open

Documentation

For End Users

Document Description
Extension User Guide Complete setup for ADO Extension users
CLI User Guide Complete setup for Python CLI users
Troubleshooting Common issues and solutions

Reference

Document Description
CLI Command Reference All CLI commands and options
Task Input Reference Extension task configuration
CSV Schema PowerBI-compatible output format
Dataset Contract Dashboard data format specification
Architecture System design and data flow diagrams

Operations

Document Description
Runbook Monitoring, recovery, and operational procedures
Data Retention Storage model and security posture

For Developers

Document Description
Contributing Guide How to contribute to this project
Development Setup Setting up the development environment
Testing Guide Running and writing tests
UI Bundle Sync Dashboard UI synchronization process
Changelog Version history and release notes

Governance

Document Description
Invariants 25 non-negotiable system invariants
Definition of Done Completion criteria for features
Victory Gates Verification checkpoints

Feature Comparison

Feature CLI Extension
Installation pip install ADO Marketplace
Requires Python Yes No (bundled)
Pipeline syntax Script steps Task step
Works outside ADO Yes No
PR Insights Dashboard Local server Built into ADO
Configuration YAML file or CLI args Task inputs
Flexibility Higher Standard

How It Works

  1. Extract — Fetches completed PRs from Azure DevOps REST API
  2. Store — Persists data in SQLite with UPSERT semantics
  3. Generate — Produces PowerBI-compatible CSVs and dashboard aggregates
  4. Visualize — View metrics in the PR Insights Dashboard

The system uses incremental extraction by default (daily) with optional backfill mode to catch late changes (reviewer votes, status updates).

PR Insights Dashboard


Security

  • PAT with Code (Read) scope — Minimum required permission
  • PATs are never logged — Secrets are redacted from all output
  • No secrets stored at rest — Database contains only PR metadata
  • Dashboard access — Requires Build Read permission on the analytics pipeline

Support


License

MIT

Project details


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