feat: Add support for SDK Method metrics tracking via _USER_AGENT_SDK…

google/cloud/aiplatform/base.py

@@ -46,6 +46,7 @@
 from google.cloud.aiplatform import initializer
 from google.cloud.aiplatform import utils
 from google.cloud.aiplatform.compat.types import encryption_spec as gca_encryption_spec
+from google.cloud.aiplatform.constants import base as base_constants
 from google.protobuf import json_format
 
 # This is the default retry callback to be used with get methods.
@@ -499,7 +500,19 @@ def __init__(
         self.location = location or initializer.global_config.location
         self.credentials = credentials or initializer.global_config.credentials
 
-        self.api_client = self._instantiate_client(self.location, self.credentials)
+        appended_user_agent = None
+        if base_constants.USER_AGENT_SDK_COMMAND:
+            appended_user_agent = [
+                f"sdk_command/{base_constants.USER_AGENT_SDK_COMMAND}"
+            ]
+            # Reset the value for the USER_AGENT_SDK_COMMAND to avoid counting future unrelated api calls.
+            base_constants.USER_AGENT_SDK_COMMAND = ""
+
+        self.api_client = self._instantiate_client(
+            location=self.location,
+            credentials=self.credentials,
+            appended_user_agent=appended_user_agent,
+        )
 
     @classmethod
     def _instantiate_client(

google/cloud/aiplatform/constants/base.py

@@ -88,3 +88,7 @@
 
 # Used in constructing the requests user_agent header for metrics reporting.
 USER_AGENT_PRODUCT = "model-builder"
+# This field is used to pass the name of the specific SDK method
+# that is being used for usage metrics tracking purposes.
+# For more details on go/oneplatform-api-analytics
+USER_AGENT_SDK_COMMAND = ""

google/cloud/aiplatform/metadata/artifact.py

@@ -28,6 +28,7 @@
 from google.cloud.aiplatform.compat.types import (
     metadata_service as gca_metadata_service,
 )
+from google.cloud.aiplatform.constants import base as base_constants
 from google.cloud.aiplatform.metadata import metadata_store
 from google.cloud.aiplatform.metadata import resource
 from google.cloud.aiplatform.metadata import utils as metadata_utils
@@ -114,6 +115,7 @@ def _create_resource(
             artifact_id=resource_id,
         )
 
+    # TODO() refactor code to move _create to _Resource class.
     @classmethod
     def _create(
         cls,
@@ -175,7 +177,19 @@ def _create(
                 Instantiated representation of the managed Metadata resource.
 
         """
-        api_client = cls._instantiate_client(location=location, credentials=credentials)
+        appended_user_agent = []
+        if base_constants.USER_AGENT_SDK_COMMAND:
+            appended_user_agent = [
+                f"sdk_command/{base_constants.USER_AGENT_SDK_COMMAND}"
+            ]
+            # Reset the value for the USER_AGENT_SDK_COMMAND to avoid counting future unrelated api calls.
+            base_constants.USER_AGENT_SDK_COMMAND = ""
+
+        api_client = cls._instantiate_client(
+            location=location,
+            credentials=credentials,
+            appended_user_agent=appended_user_agent,
+        )
 
         parent = utils.full_resource_name(
             resource_name=metadata_store_id,
@@ -311,6 +325,13 @@ def create(
         Returns:
             Artifact: Instantiated representation of the managed Metadata Artifact.
         """
+        # Add User Agent Header for metrics tracking if one is not specified
+        # If one is alreayd specified this call was initiated by a sub class.
+        if not base_constants.USER_AGENT_SDK_COMMAND:
+            base_constants.USER_AGENT_SDK_COMMAND = (
+                "aiplatform.metadata.artifact.Artifact.create"
+            )
+
         return cls._create(
             resource_id=resource_id,
             schema_title=schema_title,

google/cloud/aiplatform/metadata/context.py

@@ -23,6 +23,7 @@
 
 from google.cloud.aiplatform import base
 from google.cloud.aiplatform import utils
+from google.cloud.aiplatform.constants import base as base_constants
 from google.cloud.aiplatform.metadata import utils as metadata_utils
 from google.cloud.aiplatform.compat.types import context as gca_context
 from google.cloud.aiplatform.compat.types import (
@@ -136,6 +137,13 @@ def create(
         Returns:
             Context: Instantiated representation of the managed Metadata Context.
         """
+        # Add User Agent Header for metrics tracking if one is not specified
+        # If one is alreayd specified this call was initiated by a sub class.
+        if not base_constants.USER_AGENT_SDK_COMMAND:
+            base_constants.USER_AGENT_SDK_COMMAND = (
+                "aiplatform.metadata.context.Context.create"
+            )
+
         return cls._create(
             resource_id=resource_id,
             schema_title=schema_title,
@@ -202,7 +210,19 @@ def _create(
                 Instantiated representation of the managed Metadata resource.
 
         """
-        api_client = cls._instantiate_client(location=location, credentials=credentials)
+        appended_user_agent = []
+        if base_constants.USER_AGENT_SDK_COMMAND:
+            appended_user_agent = [
+                f"sdk_command/{base_constants.USER_AGENT_SDK_COMMAND}"
+            ]
+            # Reset the value for the USER_AGENT_SDK_COMMAND to avoid counting future unrelated api calls.
+            base_constants.USER_AGENT_SDK_COMMAND = ""
+
+        api_client = cls._instantiate_client(
+            location=location,
+            credentials=credentials,
+            appended_user_agent=appended_user_agent,
+        )
 
         parent = utils.full_resource_name(
             resource_name=metadata_store_id,

google/cloud/aiplatform/metadata/execution.py

@@ -20,14 +20,14 @@
 import proto
 from google.auth import credentials as auth_credentials
 
-from google.cloud.aiplatform import base
 from google.cloud.aiplatform import models
 from google.cloud.aiplatform import utils
 from google.cloud.aiplatform.compat.types import event as gca_event
 from google.cloud.aiplatform.compat.types import execution as gca_execution
 from google.cloud.aiplatform.compat.types import (
     metadata_service as gca_metadata_service,
 )
+from google.cloud.aiplatform.constants import base as base_constants
 from google.cloud.aiplatform.metadata import artifact
 from google.cloud.aiplatform.metadata import metadata_store
 from google.cloud.aiplatform.metadata import resource
@@ -142,18 +142,110 @@ def create(
             Execution: Instantiated representation of the managed Metadata Execution.
 
         """
-        self = cls._empty_constructor(
-            project=project, location=location, credentials=credentials
+        # Add User Agent Header for metrics tracking if one is not specified
+        # If one is alreayd specified this call was initiated by a sub class.
+        if not base_constants.USER_AGENT_SDK_COMMAND:
+            base_constants.USER_AGENT_SDK_COMMAND = (
+                "aiplatform.metadata.execution.Execution.create"
+            )
+
+        return cls._create(
+            resource_id=resource_id,
+            schema_title=schema_title,
+            display_name=display_name,
+            schema_version=schema_version,
+            description=description,
+            metadata=metadata,
+            state=state,
+            metadata_store_id=metadata_store_id,
+            project=project,
+            location=location,
+            credentials=credentials,
+        )
+
+    # TODO() refactor code to move _create to _Resource class.
+    @classmethod
+    def _create(
+        cls,
+        schema_title: str,
+        *,
+        state: gca_execution.Execution.State = gca_execution.Execution.State.RUNNING,
+        resource_id: Optional[str] = None,
+        display_name: Optional[str] = None,
+        schema_version: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None,
+        description: Optional[str] = None,
+        metadata_store_id: str = "default",
+        project: Optional[str] = None,
+        location: Optional[str] = None,
+        credentials=Optional[auth_credentials.Credentials],
+    ) -> "Execution":
+        """
+        Creates a new Metadata Execution.
+
+        Args:
+            schema_title (str):
+                Required. schema_title identifies the schema title used by the Execution.
+            state (gca_execution.Execution.State.RUNNING):
+                Optional. State of this Execution. Defaults to RUNNING.
+            resource_id (str):
+                Optional. The <resource_id> portion of the Execution name with
+                the format. This is globally unique in a metadataStore:
+                projects/123/locations/us-central1/metadataStores/<metadata_store_id>/executions/<resource_id>.
+            display_name (str):
+                Optional. The user-defined name of the Execution.
+            schema_version (str):
+                Optional. schema_version specifies the version used by the Execution.
+                If not set, defaults to use the latest version.
+            metadata (Dict):
+                Optional. Contains the metadata information that will be stored in the Execution.
+            description (str):
+                Optional. Describes the purpose of the Execution to be created.
+            metadata_store_id (str):
+                Optional. The <metadata_store_id> portion of the resource name with
+                the format:
+                projects/123/locations/us-central1/metadataStores/<metadata_store_id>/artifacts/<resource_id>
+                If not provided, the MetadataStore's ID will be set to "default".
+            project (str):
+                Optional. Project used to create this Execution. Overrides project set in
+                aiplatform.init.
+            location (str):
+                Optional. Location used to create this Execution. Overrides location set in
+                aiplatform.init.
+            credentials (auth_credentials.Credentials):
+                Optional. Custom credentials used to create this Execution. Overrides
+                credentials set in aiplatform.init.
+
+        Returns:
+            Execution: Instantiated representation of the managed Metadata Execution.
+
+        """
+        appended_user_agent = []
+        if base_constants.USER_AGENT_SDK_COMMAND:
+            appended_user_agent = [
+                f"sdk_command/{base_constants.USER_AGENT_SDK_COMMAND}"
+            ]
+            # Reset the value for the USER_AGENT_SDK_COMMAND to avoid counting future unrelated api calls.
+            base_constants.USER_AGENT_SDK_COMMAND = ""
+
+        api_client = cls._instantiate_client(
+            location=location,
+            credentials=credentials,
+            appended_user_agent=appended_user_agent,
+        )
+
+        parent = utils.full_resource_name(
+            resource_name=metadata_store_id,
+            resource_noun=metadata_store._MetadataStore._resource_noun,
+            parse_resource_name_method=metadata_store._MetadataStore._parse_resource_name,
+            format_resource_name_method=metadata_store._MetadataStore._format_resource_name,
+            project=project,
+            location=location,
         )
-        super(base.VertexAiResourceNounWithFutureManager, self).__init__()
 
         resource = Execution._create_resource(
-            client=self.api_client,
-            parent=metadata_store._MetadataStore._format_resource_name(
-                project=self.project,
-                location=self.location,
-                metadata_store=metadata_store_id,
-            ),
+            client=api_client,
+            parent=parent,
             schema_title=schema_title,
             resource_id=resource_id,
             metadata=metadata,
@@ -162,6 +254,9 @@ def create(
             schema_version=schema_version,
             state=state,
         )
+        self = cls._empty_constructor(
+            project=project, location=location, credentials=credentials
+        )
         self._gca_resource = resource
 
         return self

google/cloud/aiplatform/metadata/metadata_store.py

@@ -25,6 +25,7 @@
 from google.cloud.aiplatform import compat
 from google.cloud.aiplatform import utils
 from google.cloud.aiplatform.compat.types import metadata_store as gca_metadata_store
+from google.cloud.aiplatform.constants import base as base_constants
 
 
 class _MetadataStore(base.VertexAiResourceNounWithFutureManager):
@@ -115,7 +116,6 @@ def get_or_create(
                 Instantiated representation of the managed metadata store resource.
 
         """
-
         store = cls._get(
             metadata_store_name=metadata_store_id,
             project=project,
@@ -176,7 +176,20 @@ def _create(
                 Instantiated representation of the managed metadata store resource.
 
         """
-        api_client = cls._instantiate_client(location=location, credentials=credentials)
+        appended_user_agent = []
+        if base_constants.USER_AGENT_SDK_COMMAND:
+            appended_user_agent = [
+                f"sdk_command/{base_constants.USER_AGENT_SDK_COMMAND}"
+            ]
+            # Reset the value for the USER_AGENT_SDK_COMMAND to avoid counting future unrelated api calls.
+            base_constants.USER_AGENT_SDK_COMMAND = ""
+
+        api_client = cls._instantiate_client(
+            location=location,
+            credentials=credentials,
+            appended_user_agent=appended_user_agent,
+        )
+
         gapic_metadata_store = gca_metadata_store.MetadataStore(
             encryption_spec=initializer.global_config.get_encryption_spec(
                 encryption_spec_key_name=encryption_spec_key_name,

google/cloud/aiplatform/metadata/schema/base_artifact.py

@@ -23,6 +23,7 @@
 
 from google.cloud.aiplatform.compat.types import artifact as gca_artifact
 from google.cloud.aiplatform.metadata import artifact
+from google.cloud.aiplatform.constants import base as base_constants
 from google.cloud.aiplatform.metadata import constants
 
 
@@ -114,6 +115,11 @@ def _init_with_resource_name(
                 Artifact name with the following format, this is globally unique in a metadataStore:
                 projects/123/locations/us-central1/metadataStores/<metadata_store_id>/artifacts/<resource_id>.
         """
+        # Add User Agent Header for metrics tracking if one is not specified
+        # If one is alreayd specified this call was initiated by a sub class.
+        if not base_constants.USER_AGENT_SDK_COMMAND:
+            base_constants.USER_AGENT_SDK_COMMAND = "aiplatform.metadata.schema.base_artifact.BaseArtifactSchema._init_with_resource_name"
+
         super(BaseArtifactSchema, self).__init__(artifact_name=artifact_name)
 
     def create(
@@ -144,6 +150,10 @@ def create(
         Returns:
             Artifact: Instantiated representation of the managed Metadata Artifact.
         """
+        # Add User Agent Header for metrics tracking.
+        base_constants.USER_AGENT_SDK_COMMAND = (
+            "aiplatform.metadata.schema.base_artifact.BaseArtifactSchema.create"
+        )
 
         # Check if metadata exists to avoid proto read error
         metadata = None

google/cloud/aiplatform/metadata/schema/base_context.py

@@ -22,6 +22,7 @@
 from google.auth import credentials as auth_credentials
 
 from google.cloud.aiplatform.compat.types import context as gca_context
+from google.cloud.aiplatform.constants import base as base_constants
 from google.cloud.aiplatform.metadata import constants
 from google.cloud.aiplatform.metadata import context
 
@@ -91,6 +92,11 @@ def _init_with_resource_name(
                 Context name with the following format, this is globally unique in a metadataStore:
                 projects/123/locations/us-central1/metadataStores/<metadata_store_id>/contexts/<resource_id>.
         """
+        # Add User Agent Header for metrics tracking if one is not specified
+        # If one is alreayd specified this call was initiated by a sub class.
+        if not base_constants.USER_AGENT_SDK_COMMAND:
+            base_constants.USER_AGENT_SDK_COMMAND = "aiplatform.metadata.schema.base_context.BaseContextSchema._init_with_resource_name"
+
         super(BaseContextSchema, self).__init__(resource_name=context_name)
 
     def create(
@@ -122,6 +128,11 @@ def create(
             Context: Instantiated representation of the managed Metadata Context.
 
         """
+        # Add User Agent Header for metrics tracking.
+        base_constants.USER_AGENT_SDK_COMMAND = (
+            "aiplatform.metadata.schema.base_context.BaseContextSchema.create"
+        )
+
         # Check if metadata exists to avoid proto read error
         metadata = None
         if self._gca_resource.metadata: