def test_put_dimension_adds_to_dimensions(mock_time):
    # arrange
    context = MetricsContext()

    dimension_key = fake.word()
    dimension_value = fake.word()

    # act
    context.put_dimensions({dimension_key: dimension_value})

    # assert
    assert context.dimensions == [{dimension_key: dimension_value}]
def test_create_copy_with_context_does_not_copy_dimensions():
    # arrange
    context = MetricsContext()
    dimension_key = fake.word()
    dimension_value = fake.word()
    context.put_dimensions({dimension_key: dimension_value})

    # act
    new_context = context.create_copy_with_context()

    # assert
    assert len(new_context.dimensions) == 0
def test_set_dimensions_overwrites_all_dimensions():
    # arrange
    context = MetricsContext()
    context.set_default_dimensions({fake.word(): fake.word})
    context.put_dimensions({fake.word(): fake.word})

    expected_dimensions = {fake.word(): fake.word}

    # act
    context.set_dimensions(expected_dimensions)

    # assert
    assert context.dimensions == expected_dimensions
示例#4
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def test_create_copy_with_context_copies_dimensions():
    # arrange
    context = MetricsContext()
    dimension_key = fake.word()
    dimension_value = fake.word()
    context.put_dimensions({dimension_key: dimension_value})

    # act
    new_context = context.create_copy_with_context()

    # assert
    assert context.dimensions == new_context.dimensions
    assert context.dimensions is not new_context.dimensions
def test_create_copy_with_context_does_not_repeat_dimensions():
    # arrange
    context = MetricsContext()
    expected_dimensions = {fake.word(): fake.word()}

    custom = {fake.word(): fake.word()}
    context.set_default_dimensions(expected_dimensions)
    context.put_dimensions(custom)

    new_context = context.create_copy_with_context()
    new_context.set_default_dimensions(expected_dimensions)
    new_context.put_dimensions(custom)

    # assert
    assert len(new_context.get_dimensions()) == 1
def test_get_dimensions_returns_only_custom_dimensions_if_default_dimensions_are_empty(
):
    # arrange
    context = MetricsContext()
    dimension_key = fake.word()
    dimension_value = fake.word()
    expected_dimensions = {dimension_key: dimension_value}

    context.set_default_dimensions({})
    context.put_dimensions(expected_dimensions)

    # act
    actual_dimensions = context.get_dimensions()

    # assert
    assert [expected_dimensions] == actual_dimensions
def test_get_dimensions_returns_merged_custom_and_default_dimensions():
    # arrange
    context = MetricsContext()
    custom_dimension_key = fake.word()
    custom_dimension_value = fake.word()

    default_dimension_key = fake.word()
    default_dimension_value = fake.word()

    expected_dimensions = {
        default_dimension_key: default_dimension_value,
        custom_dimension_key: custom_dimension_value,
    }

    context.set_default_dimensions(
        {default_dimension_key: default_dimension_value})
    context.put_dimensions({custom_dimension_key: custom_dimension_value})

    # act
    actual_dimensions = context.get_dimensions()

    # assert
    assert [expected_dimensions] == actual_dimensions