pytest-ndb

Interactively debug a failing pytest test in a notebook or REPL. See Usage below for examples.

In our opinion, developers should often prefer to debug failing tests using a debugger such as pdb. However for certain applications, such as those that occur in data science with large complex data sets or long running models, this is can be quite difficult. Debugging a failing test can mean having to analyze data, for which there is little support in a debugger and where notebooks truly shine.

Traditionally to debug in a notebook, all of the code from the test, including fixtures and parametrizations, must be copied. For simple tests this might not be an issue, but for a complex test it can be quite time consuming. Instead, you can use pytest-ndb!

Usage

When tests fail, pytest will produce a summary of the failures.

FAILED pytest_ndb/tests.py::test_fixture_single_fails - AssertionError: assert 'x' == 'y'
FAILED pytest_ndb/tests.py::test_fixture_double_fails - AssertionError: assert 'y' == 'x'
FAILED pytest_ndb/tests.py::test_parametrization_fails[5] - AssertionError: assert 'z' == 'w'

When this occurs, you can take the path produced by this summary and feed it into pytest_ndb.run in a notebook passing the package and the path.

import pytest_ndb

test_locals = pytest_ndb.run(pytest_ndb, "pytest_ndb/tests.py::test_fixture_single_fails")

This produces the following output.

============================= test session starts ==============================
platform linux -- Python 3.10.12, pytest-7.4.0, pluggy-1.2.0
rootdir: /home/richard/dev/pytest-ndb
plugins: hypothesis-6.80.0, anyio-3.7.0, asyncio-0.21.0, localserver-0.0.0, cov-4.1.0, xdist-3.3.1, cython-0.2.1
asyncio: mode=strict
collected 1 item
Traceback (most recent call last):
  File "/home/richard/dev/pytest-ndb/pytest_ndb/__init__.py", line 125, in run
    test_function(
  File "/home/richard/dev/pytest-ndb/pytest_ndb/__init__.py", line 30, in __call__
    res = self.func(*args, **kwargs)
  File "/home/richard/dev/pytest-ndb/pytest_ndb/tests.py", line 33, in test_fixture_single_fails
    assert fixture_1 == "y"
AssertionError: assert 'x' == 'y'

As the test runs, the local variables are captured and returned as a dictionary. In the above code, this is put in to the variable test_locals.

print(test_locals)
{'fixture_1': 'x', 'x': 5}

In the notebook, you can now interact with and investigate these Python objects! You can even run tests with parametrizations:

import pytest_ndb

test_locals = pytest_ndb.run(pytest_ndb, "pytest_ndb/tests.py::test_parametrization_fails[5]")

Requirements

pytest-ndb requires:

• At least Python 3.8.
• pytest between versions 7.0 and 8.2 inclusive. Other versions may work.
• The test path provided to pytets-ndb must identify a unique test (only one parametrization).
• If parametrizations are used, they must be deterministic.

Installation

pip install pytest-ndb

Development state

pytest-ndb is largely a hack on the pytest internals, and likely will always be. In addition, we must guess at the root path of your package, and in certain cases we may guess wrong. While we test this package using parametrizations and fixtures, other pytest features may not work.

Is something not working? Report an issue on our GitHub issue tracker!