Skip to main content
https://travis-ci.com/untitaker/pytest-sentry.svg?branch=master https://img.shields.io/pypi/v/pytest-sentry https://img.shields.io/pypi/l/pytest-sentry

pytest-sentry is a pytest plugin that uses Sentry to store and aggregate information about your testruns.

This is not an official Sentry product.

Tracking flaky tests as errors

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.

Tracking the performance of your testsuite

By default pytest-sentry will send Performance data to Sentry:

  • Fixture setup is reported as “transaction” to Sentry, such that you can answer questions like “what is my slowest test fixture” and “what is my most used test fixture”.

  • Calls to the test function itself are reported as separate transaction such that you can find large, slow tests as well.

To measure performance data, install pytest-sentry and set PYTEST_SENTRY_DSN, like with errors.

Transactions can have noticeable runtime overhead over just reporting errors. To disable, use a marker:

import pytest
import pytest_sentry

pytestmarker = pytest.mark.sentry_client({"traces_sample_rate": 0.0})

Advanced Options

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")))
@pytest.mark.sentry_client({"dsn": ..., "debug": True})

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.

Accessing the used Sentry client

You will notice that the global functions such as sentry_sdk.capture_message will not actually send events into the same DSN you configured this plugin with. That’s because pytest-sentry goes to extreme lenghts to keep its own SDK setup separate from the SDK setup of the tested code.

pytest-sentry exposes the sentry_test_hub fixture whose return value is the Hub being used to send events to Sentry. Use with sentry_test_hub: to temporarily switch context. You can use this to set custom tags like so:

def test_foo(sentry_test_hub):
    with sentry_test_hub:
        sentry_sdk.set_tag("pull_request", os.environ['EXAMPLE_CI_PULL_REQUEST'])

Why all the hassle with the context manager? Just imagine if your tested application would start to log some (expected) errors on its own. You would immediately exceed your quota!

Always reporting test failures

You can always report all test failures to Sentry by setting the environment variable PYTEST_SENTRY_ALWAYS_REPORT=1.

This can be enabled for builds on the master or release branch, to catch certain kinds of tests that are flaky across builds, but consistently fail or pass within one testrun.

License

Licensed under 2-clause BSD, see LICENSE.

Metadata

Release files for pytest-sentry 0.1.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pytest-sentry 0.1.8
File Size Uploaded
pytest-sentry-0.1.8.tar.gz 7.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pytest-sentry 0.1.8
File Interpreter ABI Platform
pytest_sentry-0.1.8-py2-none-any.whl Python 2 none any Details

Total release size: 14.6 kB

Release files / pytest-sentry-0.1.8.tar.gz

Download URL pytest-sentry-0.1.8.tar.gz
Size 7.1 kB
Tags Source
SHA-256 checksum
How to use checksums
fa2ce1e781fdce49199483faead2da3fba60a4a78b3ae2967559491aafc63fd2
BLAKE2b-256 checksum
How to use checksums
41b6040ef3891206384c87dd069285bacb775dda72eb6768559aac44c857e361
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.1

Release files / pytest_sentry-0.1.8-py2-none-any.whl

Download URL pytest_sentry-0.1.8-py2-none-any.whl
Size 7.5 kB
Tags Python 2
SHA-256 checksum
How to use checksums
f8818c0f4edf0f30dd0eeef848e554c10a7ab1377d1d07c598af0336cb2d0832
BLAKE2b-256 checksum
How to use checksums
7acc22c21c59f95af2414ab99541b403c6f33ccb1aeec33585e52bf95da63d61
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.1

Release history Release notifications | RSS feed

0.5.1

2 release files

0.5.0

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.11

2 release files

0.1.10

2 release files

0.1.9

2 release files

This release

0.1.8 This release

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page