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Working with non-python tests

A basic example for specifying tests in Yaml files

Here is an example conftest.py (extracted from Ali Afshar’s special purpose pytest-yamlwsgi plugin). This conftest.py will collect test*.yaml files and will execute the yaml-formatted content as custom tests:

# content of conftest.py from __future__ import annotations import pytest def pytest_collect_file(parent, file_path): if file_path.suffix == ".yaml" and file_path.name.startswith("test"): return YamlFile.from_parent(parent, path=file_path) class YamlFile(pytest.File): def collect(self): # We need a yaml parser, e.g. PyYAML. import yaml raw = yaml.safe_load(self.path.open(encoding="utf-8")) for name, spec in sorted(raw.items()): yield YamlItem.from_parent(self, name=name, spec=spec) class YamlItem(pytest.Item): def __init__(self, *, spec, **kwargs): super().__init__(**kwargs) self.spec = spec def runtest(self): for name, value in sorted(self.spec.items()): # Some custom test execution (dumb example follows). if name != value: raise YamlException(self, name, value) def repr_failure(self, excinfo): """Called when self.runtest() raises an exception.""" if isinstance(excinfo.value, YamlException): return "\n".join( [ "usecase execution failed", " spec failed: {1!r}: {2!r}".format(*excinfo.value.args), " no further details known at this point.", ] ) return super().repr_failure(excinfo) def reportinfo(self): return self.path, 0, f"usecase: {self.name}" class YamlException(Exception): """Custom exception for error reporting."""

You can create a simple example file:

# test_simple.yaml ok: sub1: sub1 hello: world: world some: other

and if you installed PyYAML or a compatible YAML-parser you can now execute the test specification:

nonpython $ pytest test_simple.yaml =========================== test session starts ============================ platform linux -- Python 3.x.y, pytest-9.x.y, pluggy-1.x.y rootdir: /home/sweet/project/nonpython collected 2 items test_simple.yaml F. [100%] ================================= FAILURES ================================= ______________________________ usecase: hello ______________________________ usecase execution failed spec failed: 'some': 'other' no further details known at this point. ========================= short test summary info ========================== FAILED test_simple.yaml::hello - usecase execution failed ======================= 1 failed, 1 passed in 0.12s ========================

You get one dot for the passing sub1: sub1 check and one failure. Obviously in the above conftest.py you’ll want to implement a more interesting interpretation of the yaml-values. You can easily write your own domain specific testing language this way.

Note

repr_failure(excinfo) is called for representing test failures. If you create custom collection nodes you can return an error representation string of your choice. It will be reported as a (red) string.

reportinfo() is used for representing the test location and is also consulted when reporting in verbose mode. It should return a tuple (path, lineno, description), where:

  • path is the path shown in reports (usually self.path or self.fspath).

  • lineno is a zero-based line number, or 0 when no specific line applies.

  • description is a short label shown for the collected item:

nonpython $ pytest -v =========================== test session starts ============================ platform linux -- Python 3.x.y, pytest-9.x.y, pluggy-1.x.y -- $PYTHON_PREFIX/bin/python cachedir: .pytest_cache rootdir: /home/sweet/project/nonpython collecting ... collected 2 items test_simple.yaml::hello FAILED [ 50%] test_simple.yaml::ok PASSED [100%] ================================= FAILURES ================================= ______________________________ usecase: hello ______________________________ usecase execution failed spec failed: 'some': 'other' no further details known at this point. ========================= short test summary info ========================== FAILED test_simple.yaml::hello - usecase execution failed ======================= 1 failed, 1 passed in 0.12s ========================

While developing your custom test collection and execution it’s also interesting to just look at the collection tree:

nonpython $ pytest --collect-only =========================== test session starts ============================ platform linux -- Python 3.x.y, pytest-9.x.y, pluggy-1.x.y rootdir: /home/sweet/project/nonpython collected 2 items <Package nonpython> <YamlFile test_simple.yaml> <YamlItem hello> <YamlItem ok> ======================== 2 tests collected in 0.12s ========================
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