def test_to_pb(self):
from gcloud.bigtable._generated import bigtable_data_pb2 as data_pb2
from gcloud.bigtable.row import CellsRowOffsetFilter
from gcloud.bigtable.row import RowSampleFilter
from gcloud.bigtable.row 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 = data_pb2.RowFilter(
condition=data_pb2.RowFilter.Condition(
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 gcloud.bigtable._generated import bigtable_data_pb2 as data_pb2
from gcloud.bigtable.row import CellsRowOffsetFilter
from gcloud.bigtable.row import RowSampleFilter
from gcloud.bigtable.row 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 = data_pb2.RowFilter(
condition=data_pb2.RowFilter.Condition(
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 gcloud.bigtable._generated import bigtable_data_pb2 as data_pb2
from gcloud.bigtable.row import RowSampleFilter
from gcloud.bigtable.row 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 = data_pb2.RowFilter(chain=data_pb2.RowFilter.Chain(
filters=[row_filter1_pb, row_filter2_pb], ), )
self.assertEqual(filter_pb, expected_pb)
def test_to_pb(self):
from gcloud.bigtable._generated import bigtable_data_pb2 as data_pb2
from gcloud.bigtable.row import RowSampleFilter
from gcloud.bigtable.row 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 = data_pb2.RowFilter(
interleave=data_pb2.RowFilter.Interleave(
filters=[row_filter1_pb, row_filter2_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 import CellsRowLimitFilter
from gcloud.bigtable.row import RowSampleFilter
from gcloud.bigtable.row 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(
interleave=data_pb2.RowFilter.Interleave(
filters=[row_filter3_pb, row_filter4_pb], ), )
self.assertEqual(filter_pb, expected_pb)