Beispiel #1
0
def test_data_set_create_invalid_parameter(data_set_type,
                                           quicksight_application_stub):
    # stub
    data_source = DataSource(
        quicksight_application=quicksight_application_stub, props=None)
    data_source.arn = "STUBBED_DATA_SOURCE_ARN"
    quicksight_application_stub.data_source = data_source
    sub_type = data_set_type

    obj = DataSet(
        data_source=data_source,
        data_set_sub_type=sub_type,
        props=None,
        quicksight_application=quicksight_application_stub,
    )

    [
        DataSetStubber.stub_create_data_source_error_invalid_parameter_call(
            sub_type) for _ in range(3)
    ]

    response = None
    with pytest.raises(tenacity.RetryError):
        # Function under test
        response = obj.create()

    assert not response
Beispiel #2
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def test_data_set_create_exist(data_set_type, quicksight_application_stub):
    # stub
    data_source = DataSource(
        quicksight_application=quicksight_application_stub, props=None)
    data_source.arn = "STUBBED_DATA_SOURCE_ARN"
    quicksight_application_stub.data_source = data_source
    sub_type = data_set_type

    obj = DataSet(
        data_source=data_source,
        data_set_sub_type=sub_type,
        props=None,
        quicksight_application=quicksight_application_stub,
    )

    DataSetStubber.stub_create_data_set_error_call(sub_type)
    DataSetStubber.stub_describe_data_set_call(sub_type)

    # Function under test
    response = obj.create()

    # This response is the response to describe_data_source as the code is remaps the response
    assert response
    # The describe_data_set reponse does not provide a status at the DataSet level, such
    # as "Status": "CREATION_SUCCESSFUL"
    # Therefore, we verify CreatedTime not being None
    assert response["CreatedTime"]
    assert obj.arn
Beispiel #3
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def test_data_set_create_all_data_set_types(data_set_type, quicksight_application_stub):
    data_source = DataSource(quicksight_application=quicksight_application_stub, props=None)

    # stub
    data_source.arn = "STUBBED_DATA_SOURCE_ARN"
    quicksight_application_stub.data_source = data_source

    data_set = DataSet(
        data_source=data_source,
        data_set_sub_type=data_set_type,
        data_set_name=f"_{data_set_type}_DataSet",
        props=None,
        quicksight_application=quicksight_application_stub
    )

    dump_state(data_set, 'Before create')
    DataSetStubber.stub_create_data_set(data_set_type)
    data_set.create()
    dump_state(data_set, 'After create')
Beispiel #4
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def test_data_set_delete_all_data_set_types(data_set_type, quicksight_application_stub):
    data_source = DataSource(quicksight_application=quicksight_application_stub, props=None)

    # stub
    data_source.arn = "STUBBED_DATA_SOURCE_ARN"
    quicksight_application_stub.data_source = data_source

    logger.info(f'Initializing dataset object for type: {data_set_type}')
    data_set = DataSet(
        data_source=data_source,
        data_set_sub_type=data_set_type,
        data_set_name=f"_{data_set_type}_DataSet",
        props=None,
        quicksight_application=quicksight_application_stub
    )
    logger.debug(f'After initializing dataset object for type: {data_set_type}')

    dump_state(data_set, 'Before delete')
    DataSetStubber.stub_delete_data_set(data_set_type)
    data_set.delete()
    dump_state(data_set, 'After delete')