Copybara import of the project:

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33e0691 by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

feat: add invoke_route_prefix to ModelContainerSpec in aiplatform v1 models.proto

PiperOrigin-RevId: 775862178

Source-Link: googleapis/googleapis@4667a43

Source-Link: googleapis/googleapis-gen@5034818
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ff62279 by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

🦉 Updates from OwlBot post-processor

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COPYBARA_INTEGRATE_REVIEW=#5484 from googleapis:owl-bot-copy ff62279
PiperOrigin-RevId: 775961596

Author: gcf-owl-bot[bot]

google/cloud/aiplatform_v1/types/model.py

@@ -1060,6 +1060,17 @@ class ModelContainerSpec(proto.Message):
                available to your container code as the
                ```AIP_DEPLOYED_MODEL_ID`` environment
                variable <https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables>`__.)
+        invoke_route_prefix (str):
+            Immutable. Invoke route prefix for the custom container.
+            "/*" is the only supported value right now. By setting this
+            field, any non-root route on this model will be accessible
+            with invoke http call eg: "/invoke/foo/bar", however the
+            [PredictionService.Invoke] RPC is not supported yet.
+
+            Only one of ``predict_route`` or ``invoke_route_prefix`` can
+            be set, and we default to using ``predict_route`` if this
+            field is not set. If this field is set, the Model can only
+            be deployed to dedicated endpoint.
         grpc_ports (MutableSequence[google.cloud.aiplatform_v1.types.Port]):
             Immutable. List of ports to expose from the container.
             Vertex AI sends gRPC prediction requests that it receives to
@@ -1120,6 +1131,10 @@ class ModelContainerSpec(proto.Message):
         proto.STRING,
         number=7,
     )
+    invoke_route_prefix: str = proto.Field(
+        proto.STRING,
+        number=15,
+    )
     grpc_ports: MutableSequence["Port"] = proto.RepeatedField(
         proto.MESSAGE,
         number=9,

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

@@ -8,7 +8,7 @@
     ],
     "language": "PYTHON",
     "name": "google-cloud-aiplatform",
-    "version": "1.99.0"
+    "version": "0.1.0"
   },
   "snippets": [
     {

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

@@ -8,7 +8,7 @@
     ],
     "language": "PYTHON",
     "name": "google-cloud-aiplatform",
-    "version": "1.99.0"
+    "version": "0.1.0"
   },
   "snippets": [
     {

tests/unit/gapic/aiplatform_v1/test_job_service.py

@@ -28029,6 +28029,7 @@ def test_create_batch_prediction_job_rest_call_success(request_type):
                 "ports": [{"container_port": 1511}],
                 "predict_route": "predict_route_value",
                 "health_route": "health_route_value",
+                "invoke_route_prefix": "invoke_route_prefix_value",
                 "grpc_ports": {},
                 "deployment_timeout": {"seconds": 751, "nanos": 543},
                 "shared_memory_size_mb": 2231,
@@ -35846,6 +35847,7 @@ async def test_create_batch_prediction_job_rest_asyncio_call_success(request_typ
                 "ports": [{"container_port": 1511}],
                 "predict_route": "predict_route_value",
                 "health_route": "health_route_value",
+                "invoke_route_prefix": "invoke_route_prefix_value",
                 "grpc_ports": {},
                 "deployment_timeout": {"seconds": 751, "nanos": 543},
                 "shared_memory_size_mb": 2231,

tests/unit/gapic/aiplatform_v1/test_model_service.py

@@ -14886,6 +14886,7 @@ def test_update_model_rest_call_success(request_type):
             "ports": [{"container_port": 1511}],
             "predict_route": "predict_route_value",
             "health_route": "health_route_value",
+            "invoke_route_prefix": "invoke_route_prefix_value",
             "grpc_ports": {},
             "deployment_timeout": {"seconds": 751, "nanos": 543},
             "shared_memory_size_mb": 2231,
@@ -18870,6 +18871,7 @@ async def test_update_model_rest_asyncio_call_success(request_type):
             "ports": [{"container_port": 1511}],
             "predict_route": "predict_route_value",
             "health_route": "health_route_value",
+            "invoke_route_prefix": "invoke_route_prefix_value",
             "grpc_ports": {},
             "deployment_timeout": {"seconds": 751, "nanos": 543},
             "shared_memory_size_mb": 2231,

tests/unit/gapic/aiplatform_v1/test_pipeline_service.py

@@ -9122,6 +9122,7 @@ def test_create_training_pipeline_rest_call_success(request_type):
                 "ports": [{"container_port": 1511}],
                 "predict_route": "predict_route_value",
                 "health_route": "health_route_value",
+                "invoke_route_prefix": "invoke_route_prefix_value",
                 "grpc_ports": {},
                 "deployment_timeout": {"seconds": 751, "nanos": 543},
                 "shared_memory_size_mb": 2231,
@@ -12070,6 +12071,7 @@ async def test_create_training_pipeline_rest_asyncio_call_success(request_type):
                 "ports": [{"container_port": 1511}],
                 "predict_route": "predict_route_value",
                 "health_route": "health_route_value",
+                "invoke_route_prefix": "invoke_route_prefix_value",
                 "grpc_ports": {},
                 "deployment_timeout": {"seconds": 751, "nanos": 543},
                 "shared_memory_size_mb": 2231,