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pivotaltracker is a Pythonic wrapper around the PivotalTracker API
Python
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pivotaltracker
tests
LICENSE.txt
MANIFEST.in
Makefile
Makefile.py
README.rst
setup.py

README.rst

Overview

This module provides a simple Pythonic interface to the PivotalTracker API. It also provides both a simple commandline interface to Pivotal.

Quickstart

This is the primary API for using Pivotal. First, you need an API token from Pivotal. You can generate one in your profile settings: <https://www.pivotaltracker.com/profile>.

Next, you simply create a client:

import pivotaltracker
client = pivotaltracker.Client(token="YOUR API TOKEN")

Now you can execute any of the API methods on that client. All method calls will return Python dictionaries. You can find detailed documentation in the docstrings for now, until I get the API docs created. Here's a quick rundown in the meantime:

  • get_project (project_id)
  • get_all_projects (self)
  • get_story (project_id, story_id)
  • get_stories (project_id, query=None, limit=None, offset=None)
  • get_iterations (project_id, limit=None, offset=None)
  • get_done_iterations (project_id, limit=None, offset=None)
  • get_current_iterations (project_id, limit=None, offset=None)
  • get_backlog_iterations (project_id, limit=None, offset=None)
  • add_story (project_id, name, description, story_type, requested_by=None, estimate=None, current_state=None, labels=None)
  • update_story (project_id, story_id, name=None, description=None, requested_by=None, story_type=None, estimate=None, current_state=None, labels=None)
  • delete_story (project_id, story_id)
  • add_comment (project_id, story_id, text, author=None)
  • deliver_all_finished_stories (project_id)

Source Code

You can contribute to the source code on GitHub: <http://github.com/mjpizz/pivotaltracker>

Release Notes

  • 0.0.3 added feature submission to the tool
  • 0.0.2 added bug submission to the tool
  • 0.0.1 original Client API object, very basic commandline tool (only submits chores)

Advanced

Commandline Tool

Simply run pt help on the commandline to see options. The first time you run the tool, it will walk you through creating your API key and setting up your configuration.

More documentation to come, later.

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