Skip to content

dixudx/rtcclient

Repository files navigation

rtcclient

https://readthedocs.org/projects/rtcclient/badge/?version=latest

A Python-based Client/API for Rational Team Concert (RTC)

About this library

IBM® Rational Team Concert™, is built on the Jazz platform, allowing application development teams to use one tool to plan across teams, code, run standups, plan sprints, and track work. For more info, please refer to here.

IMPORTANT NOTE: This is NOT an official-released Python-based RTC Client.

This library can help you:

  • Interacts with an RTC server to retrieve objects which contain the detailed information/configuration, including Project Areas, Team Areas, Workitems and etc;
  • Creates all kinds of Workitems through self-customized templates or copies from some existing Workitems;
  • Performs some actions on the retrieved Workitems, including get/add Comments, get/add/remove Subscribers/Children/Parent, get/upload Attachments and etc;
  • Query Workitems using specified filtered rules or directly from your saved queries;
  • Logs all the activities and messages during your operation;

Python & Rational Team Concert Versions

This project has been tested against multiple Python versions, such as "3.7", "3.8", "3.9", "3.10" and "3.11".

Please install rtcclient with version >= 0.9.0, which works well with Rational Team Concert 6.0.6.1, 5.0.1, 5.0.2 and ELM 7.0.

Important Links

Support and bug-reports: https://github.com/dixudx/rtcclient/issues?q=is%3Aopen+sort%3Acomments-desc

Project source code: https://github.com/dixudx/rtcclient

Project documentation: https://readthedocs.org/projects/rtcclient/

Installation

To install rtcclient, simply:

$ pip install rtcclient

Example

RTCClient is intended to map the objects in RTC (e.g. Project Areas, Team Areas, Workitems) into easily managed Python objects:

>>> from rtcclient.utils import setup_basic_logging
>>> from rtcclient import RTCClient
# you can remove this if you don't need logging
# default debug logging for console output
>>> setup_basic_logging()
# url ends with jazz
>>> url = "https://your_domain:9443/jazz"
>>> username = "your_username"
>>> password = "your_password"
# If your rtc server is behind a proxy, remember to set "proxies" explicitly.
# If your url ends with ccm, set ends_with_jazz to False.
# Please refer to issue #68 for detailed explanation
# If your rtc server is too old (such as Rational Team Concert 5.0.1, 5.0.2), please set old_rtc_authentication to True
>>> myclient = RTCClient(url, username, password, ends_with_jazz=True, old_rtc_authentication=False)
# it will be faster if returned properties is specified
# see in below query example
>>> wk = myclient.getWorkitem(123456) # get a workitem whose id is 123456
# get all workitems
# If both projectarea_id and projectarea_name are None, all the workitems
# in all ProjectAreas will be returned
>>> workitems_list = myclient.getWorkitems(projectarea_id=None,
                                           projectarea_name=None)
>>> myquery = myclient.query # query class
>>> projectarea_name = "your_projectarea_name"
# customize your query string
# below query string means: query all the workitems with title "use case 1"
>>> myquerystr = 'dc:title="use case 1"'
# specify the returned properties: title, id, state, owner
# This is optional. All properties will be returned if not specified
>>> returned_prop = "dc:title,dc:identifier,rtc_cm:state,rtc_cm:ownedBy"
>>> queried_wis = myquery.queryWorkitems(query_str=myquerystr,
                                         projectarea_name=projectarea_name,
                                         returned_properties=returned_prop)

Testing

Using a virtualenv is recommended. Setuptools will automatically fetch missing test dependencies.

If you have installed the tox on your system already, you can run the tests using pytest with the following command:

virtualenv
source .venv/bin/active
(venv) tox -e test
(venv) tox -e flake
(venv) tox -e pycodestyle

Testing with Poetry

When using poetry , all dependencies and test environment are managed by this tool even when using tox.

If you have already globally installed poetry on your system, you can run the tests using pytest with the following command:

poetry install --with devel
poetry run tox -e test
poetry run tox -e flake
poetry run tox -e pycodestyle