pytest-stats 0.0.3

Collects tests metadata for future analysis, easy to extend for any data store

Pytest-stats

This library is collecting metadata about your test executions, and enables you to send it to a datastore of your liking.

Architecture

The library is designed in a hexagonal architecture in mind - separating data collection and reporting. There are two main parts to the code - metadata collection and reporting. the collection engine stores the metadata in pytest's stash (for session and for test) and uses pytest built-in hooks in order to populate the data and trigger the reporting. The reporting part is allowing reporters to register, then delegates the actual work to the registered reporters, enabling easy customization.

Implementation guide

In order to include pytest-stats capabilities in your code, all you need to do is to install the package pip install pytest-stats.
However, this will only provide you with a text report provided by the built-in DefaultTextReporter. In order to store the data in your own DB you'll need to:

1. Create a new reporter (inherit the abstract ResultsReporter class)
2. Register an instance of your reporter using the provided new hook pytest_stats_register_reporters.
   Example:

@pytest.hookimpl()
def pytest_stats_register_reporters(reporters:'ReportersRegistry'):
    reporters.register(MyReporter())

Implementation details

how is data collected and reported?

Most data is collected by hooking the following pytest-provided hooks:

• pytest_sessionstart
• pytest_sessionfinish
• pytest_runtest_protocol
• pytest_runtest_makereport
• pytest_exception_interact

New hooks available

• pytest_stats_register_reporters: used to register a new reporter. More than one reporter can be registered at the same hook.
  Invoked as part of pytest_configure
• pytest_stats_env_data: Enables adding custom environment information to the session data.
  Invoked as part of pytest_sessionstart