A pytest plugin to report flaky tests to Sentry.io
What and Why
Let’s say you have a testsuite with some flaky tests that randomly break your CI build due to network issues, race conditions or other stuff that you don’t want to fix immediately. The known workaround is to retry those tests automatically, for example using pytest-rerunfailures.
One concern against plugins like this is that they just hide the bugs in your testsuite or even other code. After all your CI build is green and your code probably works most of the time.
pytest-sentry tries to make that choice a bit easier by tracking flaky test failures in a place separate from your build status. Sentry is already a good choice for keeping tabs on all kinds of errors, important or not, in production, so let’s try to use it in testsuites too.
The prerequisite is that you already make use of pytest and pytest-rerunfailures in CI. Now install pytest-sentry and set the PYTEST_SENTRY_DSN environment variable to the DSN of a new Sentry project.
Now every test failure that is “fixed” by retrying the test is reported to Sentry, but still does not break CI. Tests that consistently fail will not be reported.
pytest-sentry supports marking your tests to use a different DSN, client or hub per-test. You can use this to provide custom options to the Client object from the Sentry SDK for Python:
import random import pytest from sentry_sdk import Hub from pytest_sentry import Client @pytest.mark.sentry_client(None) def test_no_sentry(): # Even though flaky, this test never gets reported to sentry assert random.random() > 0.5 @pytest.mark.sentry_client("MY NEW DSN") def test_custom_dsn(): # Use a different DSN to report errors for this one assert random.random() > 0.5 # Other invocations: @pytest.mark.sentry_client(Client("CUSTOM DSN")) @pytest.mark.sentry_client(lambda: Client("CUSTOM DSN")) @pytest.mark.sentry_client(Hub(Client("CUSTOM DSN")))
The Client class exposed by pytest-sentry only has different default integrations. It disables some of the error-capturing integrations to avoid sending random expected errors into your project.
Licensed under MIT, see LICENSE.
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