Skip to main content

Pytest plugin to define functions you test with special marks for better navigation and reports

Project description

Pytest Plugin to Show Unit Coverage

Code coverage tools like coverage.py show you the instrumented code coverage of your tests, however it won't tell you if you've written specific unit tests for each of your code's units (here unit meaning function).

This package implements a mechanism for measuring and reporting unit coverage. Instead of instrumenting your code you will need to mark tests with a pointer to the unit that it is covering.

For example if you have in your code this module mypackage/widget.py:

def foo(in):
    return in * 3

then in your test suite you would write a unit test for this function and mark it as relating to that unit, e.g. in tests/test_widget.py:

from mypackage.widget import foo

@pytest.mark.pointer(foo)
def test_foo():
    assert foo(3) == 9

This package works by collecting all of the pointed-to units during test execution and persists these to the pytest cache (typically somewhere under .pytest_cache). Then in subsequent runs you need only report the results.

Invocation

This package adds a couple new options to the pytest CLI:

--pointers-collect=STR (default src)

This explicitly indicates to collect unit coverage results. If not specified, but --pointers-report is given results will be collected using the default.

--pointers-report (default False)

When this flag is given a textual report will be given at the end of the test run. Note that even if this is not given the coverage checks will still be run.

--pointers-func-min-pass=INT (default 2)

This flag controls the number of unit test pointer marks are needed to get a "passing" unit. In the report units with 0 pointers are shown as red, passing numbers are green, and anything in between is blue.

--pointers-fail-under=FLOAT (default 0.0)

This flag controls the percentage of passing units are needed for the entire coverage check to pass. The percentage is always displayed even without --pointers-report. If this test is failed then the test process exits with code 1, which is useful for things like CI.

Example

Here is an example with source code under the src folder, requiring 1 pointer test per collected unit in the code, for all functions.

pytest --pointers-report --pointers-collect=src --pointers-func-min-pass=1 --pointers-fail-under=100 tests

Installation

pip install pytest_pointers

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pytest-pointers-0.3.1.tar.gz (8.5 kB view hashes)

Uploaded source

Built Distribution

pytest_pointers-0.3.1-py3-none-any.whl (8.7 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page