ado-git-repo-insights 1.2.0

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

ado-git-repo-insights

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

Overview

This tool replaces the MongoDB-based ado-pull-request-metrics with a lightweight, file-based solution that:

• Stores data in SQLite - No external database required
• Runs as an Azure DevOps Pipeline Task - Scheduled daily extraction
• Preserves the PowerBI CSV contract - Same filenames, columns, and ordering
• Supports incremental + backfill extraction - Efficient daily updates with periodic convergence

Quick Start

Installation

pip install ado-git-repo-insights

Usage Options

This tool provides two ways to extract Azure DevOps Pull Request metrics:

Aspect	CLI (Option 1)	Extension (Option 2)
Requires Python	Yes	No (bundled)
Installation	pip install	Upload VSIX to ADO
Pipeline syntax	Script steps	Task step
Works outside ADO	Yes	No (ADO only)
Flexibility	Higher	Standard

Option 1: Python CLI

Best for users comfortable with Python/pip, custom scripts, and non-ADO CI/CD systems.

First Run (Extract Data)

ado-insights extract \
  --organization MyOrg \
  --projects "ProjectOne,ProjectTwo" \
  --pat $ADO_PAT \
  --database ./ado-insights.sqlite

Generate CSVs

ado-insights generate-csv \
  --database ./ado-insights.sqlite \
  --output ./csv_output

Backfill Mode (Weekly Convergence)

ado-insights extract \
  --organization MyOrg \
  --projects "ProjectOne,ProjectTwo" \
  --pat $ADO_PAT \
  --database ./ado-insights.sqlite \
  --backfill-days 60

Option 2: Azure DevOps Extension

Best for teams that prefer the ADO pipeline editor UI or want a self-contained task without managing Python dependencies.

steps:
  - task: ExtractPullRequests@1
    inputs:
      organization: 'MyOrg'
      projects: 'Project1,Project2'
      pat: '$(PAT_SECRET)'
      database: '$(Pipeline.Workspace)/data/ado-insights.sqlite'
      outputDir: '$(Pipeline.Workspace)/csv_output'

Installation:

1. Download the .vsix from GitHub Releases
2. Install in your ADO organization: Organization Settings → Extensions → Browse local extensions

Configuration

Create a config.yaml file:

organization: MyOrg

projects:
  - ProjectOne
  - ProjectTwo
  - Project%20Three  # URL-encoded names supported

api:
  base_url: https://dev.azure.com
  version: 7.1-preview.1
  rate_limit_sleep_seconds: 0.5
  max_retries: 3
  retry_delay_seconds: 5
  retry_backoff_multiplier: 2.0

backfill:
  enabled: true
  window_days: 60

Then run:

ado-insights extract --config config.yaml --pat $ADO_PAT

Azure DevOps Pipeline Integration

See sample-pipeline.yml for a complete example.

Scheduled Daily Extraction

schedules:
  - cron: "0 6 * * *"  # Daily at 6 AM UTC
    displayName: "Daily PR Extraction"
    branches:
      include: [main]
    always: true

Weekly Backfill

schedules:
  - cron: "0 6 * * 0"  # Weekly on Sunday
    displayName: "Weekly Backfill"
    branches:
      include: [main]
    always: true

CSV Output Contract

The following CSVs are generated with exact schema and column order for PowerBI compatibility:

File	Columns
organizations.csv	organization_name
projects.csv	organization_name, project_name
repositories.csv	repository_id, repository_name, project_name, organization_name
pull_requests.csv	pull_request_uid, pull_request_id, organization_name, project_name, repository_id, user_id, title, status, description, creation_date, closed_date, cycle_time_minutes
users.csv	user_id, display_name, email
reviewers.csv	pull_request_uid, user_id, vote, repository_id

Governance

This project is governed by authoritative documents in agents/:

• INVARIANTS.md - 25 non-negotiable invariants
• definition-of-done.md - Completion criteria
• victory-gates.md - Verification gates

Development

# Setup
python -m venv .venv
source .venv/bin/activate  # or .venv\Scripts\activate on Windows
pip install -e .[dev]

# Lint + Format
ruff check .
ruff format .

# Type Check
mypy src/

# Test
pytest

License

MIT