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feat: add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto #1621

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dizcology merged 3 commits into from
Aug 31, 2022
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feat: add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto #1621

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feat: add model_monitoring_stats_anomalies,model_monitoring_status to…
gcf-owl-bot[bot] Aug 30, 2022
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🦉 Updates from OwlBot post-processor
gcf-owl-bot[bot] Aug 30, 2022
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Merge branch 'main' into owl-bot-copy
dizcology Aug 31, 2022
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17 changes: 17 additions & 0 deletions google/cloud/aiplatform_v1beta1/types/batch_prediction_job.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,7 @@
from google.cloud.aiplatform_v1beta1.types import (
manual_batch_tuning_parameters as gca_manual_batch_tuning_parameters,
)
from google.cloud.aiplatform_v1beta1.types import model_deployment_monitoring_job
from google.cloud.aiplatform_v1beta1.types import model_monitoring
from google.cloud.aiplatform_v1beta1.types import (
unmanaged_container_model as gca_unmanaged_container_model,
Expand Down Expand Up @@ -220,6 +221,12 @@ class BatchPredictionJob(proto.Message):
analysis model behaviors, based on the input and
output to the batch prediction job, as well as
the provided training dataset.
model_monitoring_stats_anomalies (Sequence[google.cloud.aiplatform_v1beta1.types.ModelMonitoringStatsAnomalies]):
Get batch prediction job monitoring
statistics.
model_monitoring_status (google.rpc.status_pb2.Status):
Output only. The running status of the model
monitoring pipeline.
"""

class InputConfig(proto.Message):
Expand Down Expand Up @@ -539,6 +546,16 @@ class OutputInfo(proto.Message):
number=26,
message=model_monitoring.ModelMonitoringConfig,
)
model_monitoring_stats_anomalies = proto.RepeatedField(
proto.MESSAGE,
number=31,
message=model_deployment_monitoring_job.ModelMonitoringStatsAnomalies,
)
model_monitoring_status = proto.Field(
proto.MESSAGE,
number=32,
message=status_pb2.Status,
)


__all__ = tuple(sorted(__protobuf__.manifest))
1 change: 1 addition & 0 deletions tests/unit/gapic/aiplatform_v1beta1/test_job_service.py
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Expand Up @@ -61,6 +61,7 @@
from google.cloud.aiplatform_v1beta1.types import env_var
from google.cloud.aiplatform_v1beta1.types import explanation
from google.cloud.aiplatform_v1beta1.types import explanation_metadata
from google.cloud.aiplatform_v1beta1.types import feature_monitoring_stats
from google.cloud.aiplatform_v1beta1.types import hyperparameter_tuning_job
from google.cloud.aiplatform_v1beta1.types import (
hyperparameter_tuning_job as gca_hyperparameter_tuning_job,
Expand Down