PYTEST FIXTURE | TEST AUTOMATION| QA SDET
✅ Pytest Fixtures – Summary
Fixtures in pytest are used to manage setup and teardown logic for tests. They help reduce redundancy and keep test code clean and maintainable.
🔹 Basic Usage:
Defined using the @pytest.fixture decorator.
Injected into tests by naming them as parameters.
Can return data, objects, or resources needed by tests.
🔹 Example:
@pytest.fixture
def sample_data():
return [1, 2, 3]
def test_sum(sample_data):
assert sum(sample_data) == 6
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🔸 Fixture Features
Scope Control:
Use scope to control lifespan:
function (default), class, module, session.
Autouse Fixtures:
Automatically apply a fixture to all tests in its scope without being passed explicitly.
Example: @pytest.fixture(autouse=True)
Teardown with yield:
Code after yield runs after the test finishes — useful for cleanup.
Parametrization:
Run the same test with different inputs using params:
@pytest.fixture(params=[1, 2, 3])
def val(request):
return request.param
Fixture Dependencies:
Fixtures can call other fixtures by declaring them as arguments.
Shared Fixtures with conftest.py:
Place common fixtures in conftest.py for reuse across test files — no import needed.
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🔹 When to Use Fixtures
Use fixtures for:
Setting up test data or environment
Connecting to databases or APIs
Launching browsers or services
Cleaning up resources after test execution