python - 在 pytest 中，如何跳过或 xfail 某些固定装置？

Question

我有一个重固定测试函数，它在某些固定输入时失败(它应该)。我怎样才能指出这一点？这就是我现在正在做的，也许还有更好的方法。我是 py.test 的新手，所以我很感激任何提示。

下一部分是所有输入灯具。仅供引用，example_datapackage_path 在 conf.test

中定义

@pytest.fixture(params=[None, 'pooled_col', 'phenotype_col'])
def metadata_key(self, request):
    return request.param

@pytest.fixture(params=[None, 'feature_rename_col'])
def expression_key(self, request):
    return request.param

@pytest.fixture(params=[None, 'feature_rename_col'])
def splicing_key(self, request):
    return request.param

@pytest.fixture
def datapackage(self, example_datapackage_path, metadata_key,
                expression_key, splicing_key):
    with open(example_datapackage_path) as f:
        datapackage = json.load(f)
    datatype_to_key = {'metadata': metadata_key,
                       'expression': expression_key,
                       'splicing': splicing_key}
    for datatype, key in datatype_to_key.iteritems():
        if key is not None:
            resource = name_to_resource(datapackage, datatype)
            if key in resource:
                resource.pop(key)
    return datapackage

@pytest.fixture
def datapackage_dir(self, example_datapackage_path):
    return os.path.dirname(example_datapackage_path)

这是测试本身。

def test_from_datapackage(self, datapackage, datapackage_dir):
    import flotilla
    from flotilla.external import get_resource_from_name

    study = flotilla.Study.from_datapackage(datapackage, datapackage_dir,
                                            load_species_data=False)

    metadata_resource = get_resource_from_name(datapackage, 'metadata')
    expression_resource = get_resource_from_name(datapackage,
                                                 'expression')
    splicing_resource = get_resource_from_name(datapackage, 'splicing')

    phenotype_col = 'phenotype' if 'phenotype_col' \
        not in metadata_resource else metadata_resource['phenotype_col']
    pooled_col = None if 'pooled_col' not in metadata_resource else \
        metadata_resource['pooled_col']
    expression_feature_rename_col = 'gene_name' if \
        'feature_rename_col' not in expression_resource \
        else expression_resource['feature_rename_col']
    splicing_feature_rename_col = 'gene_name' if \
        'feature_rename_col' not in splicing_resource \
        else splicing_resource['feature_rename_col']

    assert study.metadata.phenotype_col == phenotype_col
    assert study.metadata.pooled_col == pooled_col
    assert study.expression.feature_rename_col \
           == expression_feature_rename_col
    assert study.splicing.feature_rename_col == splicing_feature_rename_col

我想做的是在 metadata_key 中，说当参数是 pooled_col 或 phenotype_col 时，它将失败。我看了pytest: Skip and xfail: dealing with tests that can not succeed , 但它只讨论了参数化测试的 skip 和 xfail ，而不是 fixtures。

Answer 1

在您的 datapackage 或 expression_key fixture 中，您可以使用 pytest.xfail 和 pytest.skip，如 here 所述.例如:

@pytest.fixture
def datapackage(self, example_datapackage_path, metadata_key,
                expression_key, splicing_key):
    if metadata_key == 'pooled_col':
        pytest.skip('metadata key is "pooled_col"')
    ...

您还可以在 fixture 参数中使用 pytest.mark.xfail，如本例所示:

@pytest.fixture(params=['a', pytest.mark.xfail('b'), 'c'])
def fx1(request):
    return request.param


def test_spam(fx1):
    assert fx1

如果您更愿意跳过这些测试，这似乎可行:

@pytest.fixture(
    params=['a', pytest.mark.skipif(True, reason='reason')('b'), 'c'])
def fx1(request):
    return request.param


def test_spam(fx1):
    assert fx1