feat: Release API key support for Predict

FUTURE_COPYBARA_INTEGRATE_REVIEW=#5158 from googleapis:release-please--branches--main 8d20c2c
PiperOrigin-RevId: 734290755

Author: vertex-sdk-bot

google/cloud/aiplatform/models.py

@@ -210,6 +210,7 @@ def __init__(
                 will be used.
         """
 
+        print("project: " + project or "None" + " location: " + location or "None")
         super().__init__(
             project=project,
             location=location,
@@ -662,7 +663,9 @@ def __init__(
             endpoint_name (str):
                 Required. A fully-qualified endpoint resource name or endpoint ID.
                 Example: "projects/123/locations/us-central1/endpoints/456" or
-                "456" when project and location are initialized or passed.
+                "456" when project and location are initialized or passed. If
+                project and location are not passed, the endpoint_name is assumed
+                to be fully-qualified.
             project (str):
                 Optional. Project to retrieve endpoint from. If not set, project
                 set in aiplatform.init will be used.
@@ -681,14 +684,15 @@ def __init__(
             resource_name=endpoint_name,
         )
 
-        endpoint_name = utils.full_resource_name(
-            resource_name=endpoint_name,
-            resource_noun="endpoints",
-            parse_resource_name_method=self._parse_resource_name,
-            format_resource_name_method=self._format_resource_name,
-            project=project,
-            location=location,
-        )
+        if project or initializer.global_config.project:
+            endpoint_name = utils.full_resource_name(
+                resource_name=endpoint_name,
+                resource_noun="endpoints",
+                parse_resource_name_method=self._parse_resource_name,
+                format_resource_name_method=self._format_resource_name,
+                project=project,
+                location=location,
+            )
 
         # Lazy load the Endpoint gca_resource until needed
         self._gca_resource = gca_endpoint_compat.Endpoint(name=endpoint_name)
@@ -699,15 +703,19 @@ def __init__(
 
     @property
     def _prediction_client(self) -> utils.PredictionClientWithOverride:
+        api_key = initializer.global_config.api_key
+        if api_key and initializer.global_config.project:
+            api_key = None
         # The attribute might not exist due to issues in
         # `VertexAiResourceNounWithFutureManager._sync_object_with_future_result`
         # We should switch to @functools.cached_property once its available.
         if not getattr(self, "_prediction_client_value", None):
             self._prediction_client_value = initializer.global_config.create_client(
                 client_class=utils.PredictionClientWithOverride,
                 credentials=self.credentials,
-                location_override=self.location,
+                location_override=self.location if not api_key else None,
                 prediction_client=True,
+                api_key=api_key,
             )
         return self._prediction_client_value
 

samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1.json

@@ -8,7 +8,7 @@
     ],
     "language": "PYTHON",
     "name": "google-cloud-aiplatform",
-    "version": "0.1.0"
+    "version": "1.89.0"
   },
   "snippets": [
     {

samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1beta1.json

@@ -8,7 +8,7 @@
     ],
     "language": "PYTHON",
     "name": "google-cloud-aiplatform",
-    "version": "0.1.0"
+    "version": "1.89.0"
   },
   "snippets": [
     {