Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not.
Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not.
pip install coverage
Use coverage to run your program and gather data:
$ coverage run my_program.py arg1 arg2
blah blah ..your program's output.. blah blah
- Generate reports with coverage:
Name Stmts Miss Cover Missing
myprogram 20 4 80% 33-35, 39
myother_module 56 6 89% 17-23
TOTAL 76 10 87%
- You can also use coverage to generate reports in other presentation oriented formats like HTML:
You can also use coverage.py with Django. You can run your Django tests along with coverage to check which codes in your app have been tested by your tests. With the coverage data, you can write new tests to test the codes which have not been tested so far by your tests. For example:
- $coverage -e //This deletes previous coverage data
- $coverage -x manange.py test fooapp.FooTest.foomethod //Execute manage.py from coverage to collect coverage data
- $coverage -rm | grep ‘fooapp’ // to filter the report to show the coverage of fooapp
- coverage run –include=”foo_app” –omit=”tests manage.py test fooapp //This will include *fooapp* pattern and omit tests pattern from your coverage report.
You can also write custom Test Runners using the coverage API to measure code coverage in a more controlled manner. You can find more detailed documentation about coverage here.