Removed dangerous pattern encouraging setting of custom logger namespace names

Author: Sam Goodman

google/cloud/aiplatform/datasets/dataset.py

@@ -32,7 +32,7 @@
 )
 from google.cloud.aiplatform.datasets import _datasources
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 
 class _Dataset(base.VertexAiResourceNounWithFutureManager):

google/cloud/aiplatform/featurestore/entity_type.py

@@ -37,7 +37,7 @@
 
 from google.cloud import bigquery
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 _ALL_FEATURE_IDS = "*"
 
 

google/cloud/aiplatform/featurestore/feature.py

@@ -27,7 +27,7 @@
 from google.cloud.aiplatform import utils
 from google.cloud.aiplatform.utils import featurestore_utils
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 
 class Feature(base.VertexAiResourceNounWithFutureManager):

google/cloud/aiplatform/featurestore/featurestore.py

@@ -35,7 +35,7 @@
 
 from google.cloud import bigquery
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 
 class Featurestore(base.VertexAiResourceNounWithFutureManager):

google/cloud/aiplatform/jobs.py

@@ -51,7 +51,7 @@
 from google.cloud.aiplatform.utils import worker_spec_utils
 
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 _JOB_COMPLETE_STATES = (
     gca_job_state.JobState.JOB_STATE_SUCCEEDED,

google/cloud/aiplatform/matching_engine/matching_engine_index.py

@@ -28,7 +28,7 @@
 from google.cloud.aiplatform.matching_engine import matching_engine_index_config
 from google.cloud.aiplatform import utils
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 
 class MatchingEngineIndex(base.VertexAiResourceNounWithFutureManager):

google/cloud/aiplatform/matching_engine/matching_engine_index_endpoint.py

@@ -33,7 +33,7 @@
 
 import grpc
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 
 @dataclass

google/cloud/aiplatform/models.py

@@ -52,7 +52,7 @@
 
 _DEFAULT_MACHINE_TYPE = "n1-standard-2"
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 
 _SUPPORTED_MODEL_FILE_NAMES = [

google/cloud/aiplatform/pipeline_jobs.py

@@ -34,7 +34,7 @@
     pipeline_state_v1 as gca_pipeline_state_v1,
 )
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 _PIPELINE_COMPLETE_STATES = set(
     [

google/cloud/aiplatform/tensorboard/tensorboard_resource.py

@@ -29,7 +29,7 @@
 from google.cloud.aiplatform import initializer
 from google.cloud.aiplatform import utils
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 
 class _TensorboardServiceResource(base.VertexAiResourceNounWithFutureManager):

google/cloud/aiplatform/training_jobs.py

@@ -54,7 +54,7 @@
 import proto
 
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 _PIPELINE_COMPLETE_STATES = set(
     [

google/cloud/aiplatform/utils/source_utils.py

@@ -28,7 +28,7 @@
 from google.cloud.aiplatform import base
 from google.cloud.aiplatform import utils
 
-_LOGGER = base.Logger(__name__)
+_LOGGER = base.Logger()
 
 
 def _get_python_executable() -> str: