Analyzing Test Coverage¶
Test coverage is computed on travis using coverage.py and sent to codecov for aggregation and analysis.
This page goes over some basic ways to analyze code coverage locally.
First thing is to install the coverage.py library:
$ pip install coverage
Now you can run your tests through the coverage.py program:
$ coverage run manage.py test commtrack
This will create a binary commcare-hq/.coverage file (that is already ignored by our .gitignore) which contains all the magic bits about what happened during the test run.
You can be as specific or generic as you’d like with what selection of tests you run through this. This tool will track which lines of code in the app have been hit during execution of the tests you run. If you’re only looking to analyze (and hopefully increase) coverage in a specific model or utils file, it might be helpful to cut down on how many tests you’re running.
Make an HTML view of the data¶
The simplest (and probably fastest) way to view this data is to build an HTML view of the code base with the coverage data:
$ coverage html
This will build a commcare-hq/coverage-report/ directory with a ton of HTML files in it. The important one is commcare-hq/coverage-report/index.html.
View the result in Vim¶
Install coveragepy.vim (https://github.com/alfredodeza/coveragepy.vim) however you personally like to install plugins. This plugin is old and out of date (but seems to be the only reasonable option) so because of this I personally think the HTML version is better.
Then run :Coveragepy report in Vim to build the report (this is kind of slow).
You can then use :Coveragepy hide and :Coveragepy show to add/remove the view from your current buffer.