def test_to_pb_nested(self): from gcloud.bigtable.row_filters import CellsRowLimitFilter from gcloud.bigtable.row_filters import RowSampleFilter from gcloud.bigtable.row_filters import StripValueTransformerFilter row_filter1 = StripValueTransformerFilter(True) row_filter2 = RowSampleFilter(0.25) row_filter3 = self._makeOne(filters=[row_filter1, row_filter2]) row_filter3_pb = row_filter3.to_pb() row_filter4 = CellsRowLimitFilter(11) row_filter4_pb = row_filter4.to_pb() row_filter5 = self._makeOne(filters=[row_filter3, row_filter4]) filter_pb = row_filter5.to_pb() expected_pb = _RowFilterPB(interleave=_RowFilterInterleavePB( filters=[row_filter3_pb, row_filter4_pb], ), ) self.assertEqual(filter_pb, expected_pb)
def test_to_pb_nested(self): from gcloud.bigtable._generated import bigtable_data_pb2 as data_pb2 from gcloud.bigtable.row_filters import CellsRowLimitFilter from gcloud.bigtable.row_filters import RowSampleFilter from gcloud.bigtable.row_filters import StripValueTransformerFilter row_filter1 = StripValueTransformerFilter(True) row_filter2 = RowSampleFilter(0.25) row_filter3 = self._makeOne(filters=[row_filter1, row_filter2]) row_filter3_pb = row_filter3.to_pb() row_filter4 = CellsRowLimitFilter(11) row_filter4_pb = row_filter4.to_pb() row_filter5 = self._makeOne(filters=[row_filter3, row_filter4]) filter_pb = row_filter5.to_pb() expected_pb = data_pb2.RowFilter(chain=data_pb2.RowFilter.Chain( filters=[row_filter3_pb, row_filter4_pb], ), ) self.assertEqual(filter_pb, expected_pb)
def test_to_pb_nested(self): from gcloud.bigtable.row_filters import CellsRowLimitFilter from gcloud.bigtable.row_filters import RowSampleFilter from gcloud.bigtable.row_filters import StripValueTransformerFilter row_filter1 = StripValueTransformerFilter(True) row_filter2 = RowSampleFilter(0.25) row_filter3 = self._makeOne(filters=[row_filter1, row_filter2]) row_filter3_pb = row_filter3.to_pb() row_filter4 = CellsRowLimitFilter(11) row_filter4_pb = row_filter4.to_pb() row_filter5 = self._makeOne(filters=[row_filter3, row_filter4]) filter_pb = row_filter5.to_pb() expected_pb = _RowFilterPB( interleave=_RowFilterInterleavePB( filters=[row_filter3_pb, row_filter4_pb], ), ) self.assertEqual(filter_pb, expected_pb)
def test_to_pb_nested(self): from gcloud.bigtable._generated import bigtable_data_pb2 as data_pb2 from gcloud.bigtable.row_filters import CellsRowLimitFilter from gcloud.bigtable.row_filters import RowSampleFilter from gcloud.bigtable.row_filters import StripValueTransformerFilter row_filter1 = StripValueTransformerFilter(True) row_filter2 = RowSampleFilter(0.25) row_filter3 = self._makeOne(filters=[row_filter1, row_filter2]) row_filter3_pb = row_filter3.to_pb() row_filter4 = CellsRowLimitFilter(11) row_filter4_pb = row_filter4.to_pb() row_filter5 = self._makeOne(filters=[row_filter3, row_filter4]) filter_pb = row_filter5.to_pb() expected_pb = data_pb2.RowFilter( chain=data_pb2.RowFilter.Chain( filters=[row_filter3_pb, row_filter4_pb], ), ) self.assertEqual(filter_pb, expected_pb)