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40. Pytest Markers | built-in | custom | pytest --markers | pytest -m |test selection| TAG | Rajiv

pytest

markers

marker

builtin

custom

--markers

-m

tag

group

selection

smoke

regression

exception

mat

Автор: The Python Gurukul

Загружено: 14 мая 2023 г.

Просмотров: 263 просмотра

Описание:

Custom markers are declared with the markers section.

Setting xfail_strict = true turns any passing tests marked with xfail into failed tests since our understanding of the system behavior was wrong. Leave this out if you want xfail tests that pass to result in XPASS.

Custom markers can be used to select a subset of tests to run with -m marker name or not run with -m "not marker name".

Markers are placed on tests using the syntax, @pytest.mark.marker_name.

Markers on classes also use the @pytest.mark.marker_name syntax and will result in each class test method being marked.

Files can have markers, using pytestmark = pytest.mark.marker_name or pytestmark = [pytest.mark.marker_one, pytest.mark.marker_two].

For parametrized tests, an individual parametrization can be marked with pytest.param(actual parameter, marks=pytest.mark.marker_name). Like the file version, the parametrized version can accept a list of markers.

The -m flag can use logic operators and, or, not, and parentheses.

pytest --markers lists all available markers.

Builtin markers provide extra behavior functionality, and we discussed skip, skipif, and xfail.

Tests can have more than one marker, and a marker can be used on more than one test.

40. Pytest Markers | built-in | custom | pytest --markers | pytest -m |test selection| TAG | Rajiv

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