def _from_pb_test_helper(self, labels=None):
import datetime
from google.cloud._helpers import _EPOCH
from google.cloud.bigtable._generated import (data_pb2 as data_v2_pb2)
timestamp_micros = TestCell.timestamp_micros
timestamp = _EPOCH + datetime.timedelta(microseconds=timestamp_micros)
value = b'value-bytes'
if labels is None:
cell_pb = data_v2_pb2.Cell(value=value,
timestamp_micros=timestamp_micros)
cell_expected = self._make_one(value, timestamp_micros)
else:
cell_pb = data_v2_pb2.Cell(value=value,
timestamp_micros=timestamp_micros,
labels=labels)
cell_expected = self._make_one(value,
timestamp_micros,
labels=labels)
klass = self._get_target_class()
result = klass.from_pb(cell_pb)
self.assertEqual(result, cell_expected)
self.assertEqual(result.timestamp, timestamp)
def _from_pb_test_helper(self, labels=None):
import datetime
from google.cloud._helpers import _EPOCH
from google.cloud.bigtable._generated import (
data_pb2 as data_v2_pb2)
timestamp_micros = 18738724000 # Make sure millis granularity
timestamp = _EPOCH + datetime.timedelta(microseconds=timestamp_micros)
value = b'value-bytes'
if labels is None:
cell_pb = data_v2_pb2.Cell(
value=value, timestamp_micros=timestamp_micros)
cell_expected = self._makeOne(value, timestamp)
else:
cell_pb = data_v2_pb2.Cell(
value=value, timestamp_micros=timestamp_micros, labels=labels)
cell_expected = self._makeOne(value, timestamp, labels=labels)
klass = self._getTargetClass()
result = klass.from_pb(cell_pb)
self.assertEqual(result, cell_expected)
def _CellPB(*args, **kw):
from google.cloud.bigtable._generated import (data_pb2 as data_v2_pb2)
return data_v2_pb2.Cell(*args, **kw)