This test failed!
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commit: 7e6b60f
buildURL: Build Status, Sponge
status: failed
Test output
self =
shared_state = {'resources': [
resource name: projects/580378083368/locations/us-central1/models/1440918784293470208]}
def test_mdm_invalid_config_incorrect_model_id(self, shared_state):
[temp_endpoint, model] = self.temp_endpoint(shared_state)
tests/system/aiplatform/test_model_monitoring.py:323:
tests/system/aiplatform/test_model_monitoring.py:147: in temp_endpoint
endpoint = model.deploy(machine_type="n1-standard-2")
google/cloud/aiplatform/models.py:3201: in deploy
return self._deploy(
google/cloud/aiplatform/base.py:793: in wrapper
return method(*args, **kwargs)
google/cloud/aiplatform/models.py:3376: in _deploy
endpoint._deploy_call(
google/cloud/aiplatform/models.py:1233: in _deploy_call
operation_future.result()
self = <google.api_core.operation.Operation object at 0x7f6160674790>
timeout = None, retry = <google.api_core.retry.Retry object at 0x7f617b5694c0>
def result(self, timeout=None, retry=DEFAULT_RETRY):
"""Get the result of the operation, blocking if necessary.
Args:
timeout (int):
How long (in seconds) to wait for the operation to complete.
If None, wait indefinitely.
Returns:
google.protobuf.Message: The Operation's result.
Raises:
google.api_core.GoogleAPICallError: If the operation errors or if
the timeout is reached before the operation completes.
"""
kwargs = {} if retry is DEFAULT_RETRY else {"retry": retry}
self._blocking_poll(timeout=timeout, **kwargs)
if self._exception is not None:
# pylint: disable=raising-bad-type
# Pylint doesn't recognize that this is valid in this case.
E google.api_core.exceptions.ResourceExhausted: 429 The following quotas are exceeded: DeployedCustomModelsPerProjectPerRegion
.nox/system-3-8/lib/python3.8/site-packages/google/api_core/future/polling.py:135: ResourceExhausted
This test failed!
To configure my behavior, see the Flaky Bot documentation.
If I'm commenting on this issue too often, add the
flakybot: quietlabel andI will stop commenting.
commit: 7e6b60f
buildURL: Build Status, Sponge
status: failed
Test output
self = shared_state = {'resources': [ resource name: projects/580378083368/locations/us-central1/models/1440918784293470208]}
tests/system/aiplatform/test_model_monitoring.py:323:
tests/system/aiplatform/test_model_monitoring.py:147: in temp_endpoint
endpoint = model.deploy(machine_type="n1-standard-2")
google/cloud/aiplatform/models.py:3201: in deploy
return self._deploy(
google/cloud/aiplatform/base.py:793: in wrapper
return method(*args, **kwargs)
google/cloud/aiplatform/models.py:3376: in _deploy
endpoint._deploy_call(
google/cloud/aiplatform/models.py:1233: in _deploy_call
operation_future.result()
self = <google.api_core.operation.Operation object at 0x7f6160674790>
timeout = None, retry = <google.api_core.retry.Retry object at 0x7f617b5694c0>
E google.api_core.exceptions.ResourceExhausted: 429 The following quotas are exceeded: DeployedCustomModelsPerProjectPerRegion
.nox/system-3-8/lib/python3.8/site-packages/google/api_core/future/polling.py:135: ResourceExhausted