In pytest, you can apply multiple tags to a test case by using the pytest.mark
decorator along with the pytest.mark.
syntax. You can define multiple tags for a test case by simply adding multiple pytest.mark.tagname
decorators above the test function. For example, if you want to apply tags such as smoke
, regression
, and priority
to a test case, you can do so by decorating the test function with @pytest.mark.smoke
, @pytest.mark.regression
, and @pytest.mark.priority
respectively. This allows you to categorize and filter test cases based on multiple criteria when running your tests.
How to skip certain test cases based on tags in pytest?
In pytest, you can skip certain test cases based on tags by using the pytest.mark
decorator along with skipif
function. Here's an example of how you can skip test cases based on tags:
- First, you need to define tags for your test cases using the pytest.mark decorator. For example, you can define a tag called skip on production for test cases that should be skipped on production environment:
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import pytest skip_on_production = pytest.mark.skip(reason="Skipped on production environment") |
- Next, you can use the skipif function along with the defined tag to skip the test cases based on the tag. For example, you can skip a test case using the @pytest.mark.skip_on_production decorator:
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@pytest.mark.skipif(condition=True, reason="Skip this test case") def test_example(): assert 1 + 1 == 2 |
- When you run your test suite, the test case tagged with skip on production will be skipped on the production environment.
You can also use other conditions in the skipif
function to skip test cases based on specific criteria.pytest offers a lot of flexibility in skipping test cases using tags and conditions, allowing you to control the execution of test cases based on various factors.
What is the role of tagging in test case management in pytest?
In test case management in pytest, tagging allows testers to categorize and organize test cases based on different criteria such as priority, type, module, or any other relevant attribute. By using tags, testers can easily filter and select specific groups of test cases for execution, which helps in saving time and effort during test runs. Tags also provide visibility and clarity on which test cases cover specific functionalities or requirements, making it easier to track test coverage and ensure that all relevant scenarios are tested. Additionally, tags can be used to customize test execution and generate test reports based on specific criteria, improving the overall test case management process in pytest.
How to include/exclude specific tags while running pytest test suite?
To include or exclude specific tags while running a pytest test suite, you can use the -k
or -m
options followed by an expression to select tests based on tags. Here's how you can do it:
- Include specific tags: To include tests with specific tags, you can use the -k option with a pattern that matches the desired tag. For example, if you have tests annotated with @pytest.mark.smoke and you want to include only these tests, you can run pytest with the following command:
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pytest -k "smoke"
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This command will only run tests that have the @pytest.mark.smoke
annotation.
- Exclude specific tags: To exclude tests with specific tags, you can use the -k option with a pattern that does not match the undesired tags. For example, if you want to exclude tests with the @pytest.mark.skip annotation, you can run pytest with the following command:
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pytest -k "not skip"
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This command will run all tests except the ones that have the @pytest.mark.skip
annotation.
Alternatively, you can use the -m
option and the logical not
operator to exclude specific tags. For example, to exclude tests with the smoke
tag, you can run pytest with the following command:
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pytest -m "not smoke"
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This command will run all tests except the ones that have the smoke
tag.
By using either the -k
or -m
options with the appropriate expressions, you can include or exclude specific tags while running your pytest test suite.