ontrack-cli 0.1.0

Terminal-first CLI for the OnTrack/Doubtfire teaching platform

ontrack-cli

Terminal-first CLI for OnTrack that reuses your authenticated browser session.

ontrack-cli targets Doubtfire / OnTrack deployments and is designed for quick terminal access to your projects, tasks, and teaching roles without building a separate login flow.

Features

• No manual API token setup in the common case
• Reads browser auth state from Chrome, Firefox, Brave, or Edge when available
• Prompts for base_url on first run and saves it like moodle-cli
• Lists projects, merged task views, and teaching roles
• Supports terminal output plus --json and --yaml

Requirements

• Python 3.10+
• uv or pipx
• An authenticated OnTrack browser session, or explicit credentials

Install

# Recommended: uv tool
uv tool install ontrack-cli

# Alternative: pipx
pipx install ontrack-cli

Install from source:

git clone https://github.com/bunizao/ontrack-cli.git
cd ontrack-cli
uv sync

Usage

ontrack --help
ontrack user
ontrack auth check
ontrack projects
ontrack project 12345
ontrack tasks 12345
ontrack roles

Structured output:

ontrack projects --json
ontrack project 12345 --yaml

To upgrade after a new release:

uv tool upgrade ontrack-cli
# or
pipx upgrade ontrack-cli

Configuration

On first run, if no base_url is configured, the CLI prompts for it and writes it to config.yaml in the project directory or in ~/.config/ontrack-cli/:

base_url: https://school.example.edu

Required format:

• Use a full root URL such as https://school.example.edu
• Do not include paths, query strings, or fragments
• Do not use URLs like /home, /#/projects, or /api/auth
• The CLI validates the URL against /api/auth/method and asks again if it does not look like an OnTrack site

You can also set ONTRACK_BASE_URL instead of using the interactive prompt. You can copy from config.example.yaml.

Environment overrides:

• ONTRACK_BASE_URL
• ONTRACK_USERNAME
• ONTRACK_AUTH_TOKEN
• ONTRACK_DOUBTFIRE_USER_JSON

Authentication

Default behavior:

1. Resolve base_url
2. Try browser cookies
3. Exchange OnTrack's browser refresh_token for an API auth token when supported
4. Fall back to explicit environment variables or config values

If browser auto-auth does not work, you can still provide credentials manually:

export ONTRACK_BASE_URL='https://school.example.edu'
export ONTRACK_USERNAME='your_username'
export ONTRACK_AUTH_TOKEN='your_auth_token'

You can also reuse the front-end cached user object:

1. Open an authenticated OnTrack page
2. Open DevTools Console
3. Run:

copy(localStorage.getItem('doubtfire_user'))

4. Export it:

export ONTRACK_DOUBTFIRE_USER_JSON='{"id":123,"username":"your_username","authenticationToken":"..."}'

Commands

• ontrack user: show the resolved signed-in user
• ontrack auth check: validate access and show a quick auth summary
• ontrack projects: list the current user's projects
• ontrack project <project_id>: show a project with merged task definition metadata
• ontrack tasks <project_id>: list task rows for a project
• ontrack roles: list teaching roles for the current user

Development

uv run pytest -q
uv run python -m compileall ontrack_cli
uv build

Notes

• The CLI is built around Doubtfire / OnTrack API behavior
• Browser-based auto-auth works best when you are already signed in to the target site
• Some deployments expose POST /api/auth/access-token, which allows clean browser-session reuse