def test_to_pb(self): from google.cloud.bigtable.row_filters import CellsRowOffsetFilter from google.cloud.bigtable.row_filters import RowSampleFilter from google.cloud.bigtable.row_filters import ( StripValueTransformerFilter) row_filter1 = StripValueTransformerFilter(True) row_filter1_pb = row_filter1.to_pb() row_filter2 = RowSampleFilter(0.25) row_filter2_pb = row_filter2.to_pb() row_filter3 = CellsRowOffsetFilter(11) row_filter3_pb = row_filter3.to_pb() row_filter4 = self._makeOne(row_filter1, true_filter=row_filter2, false_filter=row_filter3) filter_pb = row_filter4.to_pb() expected_pb = _RowFilterPB( condition=_RowFilterConditionPB( predicate_filter=row_filter1_pb, true_filter=row_filter2_pb, false_filter=row_filter3_pb, ), ) self.assertEqual(filter_pb, expected_pb)
def test_to_pb(self): from google.cloud.bigtable.row_filters import CellsRowOffsetFilter from google.cloud.bigtable.row_filters import RowSampleFilter from google.cloud.bigtable.row_filters import ( StripValueTransformerFilter) row_filter1 = StripValueTransformerFilter(True) row_filter1_pb = row_filter1.to_pb() row_filter2 = RowSampleFilter(0.25) row_filter2_pb = row_filter2.to_pb() row_filter3 = CellsRowOffsetFilter(11) row_filter3_pb = row_filter3.to_pb() row_filter4 = self._makeOne(row_filter1, true_filter=row_filter2, false_filter=row_filter3) filter_pb = row_filter4.to_pb() expected_pb = _RowFilterPB(condition=_RowFilterConditionPB( predicate_filter=row_filter1_pb, true_filter=row_filter2_pb, false_filter=row_filter3_pb, ), ) self.assertEqual(filter_pb, expected_pb)
def test_to_pb_false_only(self): from google.cloud.bigtable.row_filters import RowSampleFilter from google.cloud.bigtable.row_filters import StripValueTransformerFilter row_filter1 = StripValueTransformerFilter(True) row_filter1_pb = row_filter1.to_pb() row_filter2 = RowSampleFilter(0.25) row_filter2_pb = row_filter2.to_pb() row_filter3 = self._make_one(row_filter1, false_filter=row_filter2) filter_pb = row_filter3.to_pb() expected_pb = _RowFilterPB(condition=_RowFilterConditionPB( predicate_filter=row_filter1_pb, false_filter=row_filter2_pb)) self.assertEqual(filter_pb, expected_pb)
def test_to_pb(self): from google.cloud.bigtable.row_filters import RowSampleFilter from google.cloud.bigtable.row_filters import StripValueTransformerFilter row_filter1 = StripValueTransformerFilter(True) row_filter1_pb = row_filter1.to_pb() row_filter2 = RowSampleFilter(0.25) row_filter2_pb = row_filter2.to_pb() row_filter3 = self._make_one(filters=[row_filter1, row_filter2]) filter_pb = row_filter3.to_pb() expected_pb = _RowFilterPB(interleave=_RowFilterInterleavePB( filters=[row_filter1_pb, row_filter2_pb])) self.assertEqual(filter_pb, expected_pb)
def test_to_pb(self): from google.cloud.bigtable.row_filters import RowSampleFilter from google.cloud.bigtable.row_filters import ( StripValueTransformerFilter) row_filter1 = StripValueTransformerFilter(True) row_filter1_pb = row_filter1.to_pb() row_filter2 = RowSampleFilter(0.25) row_filter2_pb = row_filter2.to_pb() row_filter3 = self._makeOne(filters=[row_filter1, row_filter2]) filter_pb = row_filter3.to_pb() expected_pb = _RowFilterPB(chain=_RowFilterChainPB( filters=[row_filter1_pb, row_filter2_pb], ), ) self.assertEqual(filter_pb, expected_pb)
def test_to_pb(self): from google.cloud.bigtable.row_filters import RowSampleFilter from google.cloud.bigtable.row_filters import StripValueTransformerFilter row_filter1 = StripValueTransformerFilter(True) row_filter1_pb = row_filter1.to_pb() row_filter2 = RowSampleFilter(0.25) row_filter2_pb = row_filter2.to_pb() row_filter3 = self._make_one(filters=[row_filter1, row_filter2]) filter_pb = row_filter3.to_pb() expected_pb = _RowFilterPB( interleave=_RowFilterInterleavePB(filters=[row_filter1_pb, row_filter2_pb]) ) self.assertEqual(filter_pb, expected_pb)
def test_to_pb_false_only(self): from google.cloud.bigtable.row_filters import RowSampleFilter from google.cloud.bigtable.row_filters import StripValueTransformerFilter row_filter1 = StripValueTransformerFilter(True) row_filter1_pb = row_filter1.to_pb() row_filter2 = RowSampleFilter(0.25) row_filter2_pb = row_filter2.to_pb() row_filter3 = self._make_one(row_filter1, false_filter=row_filter2) filter_pb = row_filter3.to_pb() expected_pb = _RowFilterPB( condition=_RowFilterConditionPB( predicate_filter=row_filter1_pb, false_filter=row_filter2_pb ) ) self.assertEqual(filter_pb, expected_pb)
def test_to_pb(self): from google.cloud.bigtable.row_filters import RowSampleFilter from google.cloud.bigtable.row_filters import ( StripValueTransformerFilter) row_filter1 = StripValueTransformerFilter(True) row_filter1_pb = row_filter1.to_pb() row_filter2 = RowSampleFilter(0.25) row_filter2_pb = row_filter2.to_pb() row_filter3 = self._makeOne(filters=[row_filter1, row_filter2]) filter_pb = row_filter3.to_pb() expected_pb = _RowFilterPB( chain=_RowFilterChainPB( filters=[row_filter1_pb, row_filter2_pb], ), ) self.assertEqual(filter_pb, expected_pb)
def test_to_pb_nested(self): from google.cloud.bigtable.row_filters import CellsRowLimitFilter from google.cloud.bigtable.row_filters import RowSampleFilter from google.cloud.bigtable.row_filters import StripValueTransformerFilter row_filter1 = StripValueTransformerFilter(True) row_filter2 = RowSampleFilter(0.25) row_filter3 = self._make_one(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._make_one(filters=[row_filter3, row_filter4]) filter_pb = row_filter5.to_pb() expected_pb = _RowFilterPB(chain=_RowFilterChainPB( filters=[row_filter3_pb, row_filter4_pb])) self.assertEqual(filter_pb, expected_pb)