def test_01(self):
nrecords = 15
name = "example_fofn"
f = get_temp_file(name)
_ = M.write_random_fofn(f, nrecords)
ds_metadata = dispatch_metadata_resolver(self.FILE_TYPE, f)
self.assertEquals(ds_metadata.nrecords, nrecords)
os.remove(f)
def get_dataset_metadata_from_file(file_type, path, attribute_name):
if attribute_name not in DatasetMetadata.SUPPORTED_ATTRS:
raise InvalidDependencyInjectError("File metadata Attribute '{a}' is not support in {p}".format(a=attribute_name, p=path))
dataset_metadata = dispatch_metadata_resolver(file_type, path)
return getattr(dataset_metadata, attribute_name)
def get_dataset_metadata_from_file(file_type, path, attribute_name):
if attribute_name not in DatasetMetadata.SUPPORTED_ATTRS:
raise InvalidDependencyInjectError("File metadata Attribute '{a}' is not support in {p}".format(a=attribute_name, p=path))
dataset_metadata = dispatch_metadata_resolver(file_type, path)
return getattr(dataset_metadata, attribute_name)
def test_01(self):
p = get_temp_file(self.FILE_NAME)
self._write_mock_file(p)
ds_metadata = dispatch_metadata_resolver(self.FILE_TYPE, p)
self.assertIsInstance(ds_metadata, DatasetMetadata)
self.assertEquals(ds_metadata.nrecords, self.NRECORDS)