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CLI tool to trigger Azure DevOps pipelines

Project description

Azure DevOps Pipeline CLI

A command-line tool to trigger and manage Azure DevOps pipelines with ease.

Features

  • Trigger Pipelines - Start builds with a single command
  • Duplicate Detection - Prevents triggering duplicate builds
  • Watch Progress - Real-time build status with progress bar
  • Build Management - View status, logs, cancel, compare builds
  • Favorites - Save and reuse common build configurations
  • Shell Completion - Tab-complete pipeline aliases and branches
  • Fuzzy Matching - Suggests corrections for typos

Installation

Homebrew (macOS/Linux)

brew tap SAGARSURI/tap
brew install adop-cli

pip

pip install adop-cli

From Source

git clone https://github.com/SAGARSURI/adop.git
cd adop
python3 -m venv .venv
source .venv/bin/activate
pip install -e .

Setup

1. Configure Azure DevOps Connection

ado-pipeline config init

You'll be prompted to enter:

  • Organization - Your Azure DevOps organization name
  • Project - Your Azure DevOps project name
  • PAT - Personal Access Token

Required PAT Permissions:

  • Build: Read & execute
  • Code: Read

2. Add Pipelines

After configuring, add pipelines you want to manage:

# Import pipelines from Azure DevOps (interactive)
ado-pipeline pipeline import

# Or add manually
ado-pipeline pipeline add my-build "My Pipeline Name" --description "Build description"

# Add with parameters
ado-pipeline pipeline add android-build "Android_Build" \
  --param "outputFormat:choice:apk:apk,aab" \
  --param "deploy:boolean:false" \
  --param "releaseNotes:string:"

3. Enable Shell Completion (Optional)

# Bash - add to ~/.bashrc
eval "$(_ADO_PIPELINE_COMPLETE=bash_source ado-pipeline)"

# Zsh - add to ~/.zshrc
eval "$(_ADO_PIPELINE_COMPLETE=zsh_source ado-pipeline)"

This enables tab-completion for pipeline aliases and git branches.

Quick Start

ado-pipeline list                        # List available pipelines
ado-pipeline plan android-dev-build      # Dry-run (preview)
ado-pipeline apply android-dev-build     # Trigger build
ado-pipeline apply android-dev-build -y -w  # Trigger + watch
ado-pipeline status                      # Check build status
ado-pipeline open <BUILD_ID>             # Open in browser

Commands

Trigger Pipelines

Command Description
ado-pipeline plan <alias> Dry-run - preview what will be triggered
ado-pipeline apply <alias> Trigger the pipeline

Options

Option Behavior
(none) Auto-detects current git branch
--branch, -b Build from specified branch
--pr Build from pull request (uses refs/pull/{n}/merge)
--force, -f Bypass duplicate build check

--branch and --pr cannot be used together.

Examples

# Dry-run (preview only, no API call)
ado-pipeline plan android-dev-build

# Trigger build on current branch
ado-pipeline apply android-dev-build

# Trigger on specific branch
ado-pipeline apply android-dev-build --branch main

# Trigger from PR #123
ado-pipeline apply android-dev-build --pr 123

# With parameters
ado-pipeline apply android-dev-build -p deploy=true -p outputFormat=aab

# Skip confirmation + watch progress
ado-pipeline apply android-dev-build -y -w

Build Management

View Build Status

# Show recent builds
ado-pipeline status

# Show more builds
ado-pipeline status -n 20

# Filter by pipeline
ado-pipeline status -p my-build

# Show only your builds
ado-pipeline status --mine

View Build Logs

# Show logs for a build
ado-pipeline logs <BUILD_ID>

# Stream logs in real-time
ado-pipeline logs <BUILD_ID> -f

Cancel a Build

ado-pipeline cancel <BUILD_ID>
ado-pipeline cancel <BUILD_ID> -y    # Skip confirmation

Open Build in Browser

ado-pipeline open <BUILD_ID>

Compare Two Builds

ado-pipeline diff <BUILD_ID_1> <BUILD_ID_2>

Shows side-by-side comparison of pipeline, branch, result, duration, and parameters.

Pipeline Management

List Configured Pipelines

ado-pipeline pipeline list

Add a Pipeline

ado-pipeline pipeline add <alias> "<Azure DevOps Pipeline Name>"

# With parameters (format: name:type:default[:choices])
ado-pipeline pipeline add android-dev-build "Build_Android_Dev" \
  --param "outputFormat:choice:apk:apk,aab" \
  --param "deploy:boolean:false"

Parameter types: string, boolean, choice

Import from Azure DevOps

# Interactive import from remote
ado-pipeline pipeline import

This fetches available pipelines from Azure DevOps and lets you add them interactively.

View Pipeline Parameters

# Show available parameters for a pipeline
ado-pipeline pipeline params my-build

# Or use the Azure DevOps pipeline name
ado-pipeline pipeline params "My_Build_Pipeline"

Fetches the pipeline's YAML file and displays available parameters with their types, defaults, and allowed values.

Sync Parameters from Azure DevOps

# Fetch and save parameters locally
ado-pipeline pipeline sync my-build

This fetches parameters from Azure DevOps and saves them to your local config, so they appear in ado-pipeline list.

Remove a Pipeline

ado-pipeline pipeline remove <alias>

Favorites

Save frequently used build configurations for quick access.

Save a Favorite

# Save with deploy enabled
ado-pipeline fav add quick-build my-build --deploy

# Save with specific branch
ado-pipeline fav add release-build my-prod --branch main --deploy

List Favorites

ado-pipeline fav list

Run a Favorite

ado-pipeline fav run quick-build
ado-pipeline fav run quick-build -y -w    # Skip confirmation + watch

Remove a Favorite

ado-pipeline fav remove quick-build

Configuration

# Initialize or update configuration
ado-pipeline config init

# Show current configuration
ado-pipeline config show

Parameters

Pass parameters with -p name=value:

ado-pipeline apply android-dev-build -p deploy=true -p outputFormat=aab
  • Boolean values: true/yes/1 or false/no/0
  • Discover parameters: ado-pipeline pipeline params <alias>

Configuration Files

File Purpose
~/.azure-pipeline-cli/config.json PAT and organization settings
~/.azure-pipeline-cli/pipelines.json Pipeline definitions
~/.azure-pipeline-cli/favorites.json Saved favorite configurations

All files have 0600 permissions (owner read/write only) since they may contain sensitive data.

Troubleshooting

"Pipeline not found"

The CLI suggests similar names if you make a typo:

Error: Pipeline 'my-bild' not found. Did you mean: my-build?

Run ado-pipeline pipeline list to see all available aliases.

"No pipelines configured"

Add pipelines first:

ado-pipeline pipeline import   # Import from Azure DevOps
# or
ado-pipeline pipeline add <alias> "<pipeline-name>"

"PAT not configured"

Run ado-pipeline config init and enter your credentials.

"Branch not found"

The branch must exist on the remote. Push it first:

git push -u origin <branch>

"Duplicate build detected"

A build with the same branch, commit, and parameters is already running. Options:

  • Wait for the existing build to complete
  • Use --force to trigger anyway: ado-pipeline apply my-build --force
  • Cancel the existing build: ado-pipeline cancel <BUILD_ID>

Shell completion not working

Make sure you've added the eval command to your shell config and restarted your terminal.

Build stuck or need to cancel

ado-pipeline cancel <BUILD_ID> -y

Development

Setup

git clone https://github.com/SAGARSURI/adop.git
cd adop
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

Running Tests

pytest tests/ -v

Project Structure

src/ado_pipeline/
├── __init__.py      # Version
├── api.py           # Azure DevOps API client
├── cli.py           # CLI commands (click)
├── config.py        # Configuration management
├── duplicate.py     # Duplicate build detection
├── favorites.py     # Favorites system
├── pipelines.py     # Pipeline definitions
└── plan.py          # Execution plan generation

CI/CD

Automated Testing

Tests run automatically on:

  • Push to main
  • Pull requests to main

Tests run against Python 3.10, 3.11, and 3.12.

CI

Releasing

Releases are automated via GitHub Actions:

  1. Update version in pyproject.toml
  2. Commit and tag:
    git add pyproject.toml
    git commit -m "chore: bump version to X.Y.Z"
    git tag vX.Y.Z
    git push origin main --tags
    
  3. The release workflow automatically:
    • Runs tests
    • Publishes to PyPI
    • Updates Homebrew tap

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE for details.

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