duvet 0.1.2

A GUI tool for visualizing code coverage results.

Duvet is a GUI tool for visualizing code coverage results produced by coverage.py.

Why the name Duvet? Because a duvet doesn’t just provide coverage - it keeps you warm and cozy.

Quickstart

In your virtualenv, install Duvet, generate some coverage data, and then run duvet:

$ pip install duvet
$ coverage run myscript.py arg1 arg2
$ duvet

This will pop up a GUI window, displaying all source code in your current working directory. Any source file mentioned in the coverage data will be highlighted in the source file tree, with a color indicating how good the coverage is (red for bad coverage, green for perfect coverage). If you select a filename in the tree, the contents of that file will be displayed, with the missed lines highlighted.

Problems under Ubuntu

Ubuntu’s packaging of Python omits the idlelib library from it’s base packge. If you’re using Python 2.7 on Ubuntu 13.04, you can install idlelib by running:

$ sudo apt-get install idle-python2.7

For other versions of Python and Ubuntu, you’ll need to adjust this as appropriate.

Problems under Windows

If you’re running Duvet in a virtualenv, you’ll need to set an environment variable so that Duvet can find the TCL graphics library:

$ set TCL_LIBRARY=c:\Python27\tcl\tcl8.5

You’ll need to adjust the exact path to reflect your local Python install. You may find it helpful to put this line in the activate.bat script for your virtual environment so that it is automatically set whenever the virtualenv is activated.

Documentation

Documentation for Duvet can be found on Read The Docs.

Community

Duvet is part of the BeeWare suite. You can talk to the community through:

• @pybeeware on Twitter

• The BeeWare Users Mailing list, for questions about how to use the BeeWare suite.

• The BeeWare Developers Mailing list, for discussing the development of new features in the BeeWare suite, and ideas for new tools for the suite.

Contributing

If you experience problems with Duvet, log them on GitHub. If you want to contribute code, please fork the code and submit a pull request.