def test_validate(self, feature_set_dataframe, mocker, feature_set):
# given
spark_client = mocker.stub("spark_client")
spark_client.read_table = mocker.stub("read_table")
spark_client.read_table.return_value = feature_set_dataframe
writer = HistoricalFeatureStoreWriter()
# when
writer.validate(feature_set, feature_set_dataframe, spark_client)
# then
spark_client.read_table.assert_called_once()
def test_validate_interval_mode(self, historical_feature_set_dataframe,
mocker, feature_set):
# given
spark_client = mocker.stub("spark_client")
spark_client.read = mocker.stub("read")
spark_client.read.return_value = historical_feature_set_dataframe
writer = HistoricalFeatureStoreWriter(interval_mode=True)
# when
writer.validate(feature_set, historical_feature_set_dataframe,
spark_client)
# then
spark_client.read.assert_called_once()
def test_validate_false(self, feature_set_dataframe, mocker, feature_set):
# given
spark_client = mocker.stub("spark_client")
spark_client.read_table = mocker.stub("read_table")
# limiting df to 1 row, now the counts should'n be the same
spark_client.read_table.return_value = feature_set_dataframe.limit(1)
writer = HistoricalFeatureStoreWriter()
# when
with pytest.raises(AssertionError):
_ = writer.validate(feature_set, feature_set_dataframe,
spark_client)
