feat: Release ReasoningEngineExecutionService.CancelAsyncQueryReasoningEngine v1beta1 API

.kokoro/samples/python3.9/common.cfg

@@ -0,0 +1,40 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+# Build logs will be here
+action {
+  define_artifacts {
+    regex: "**/*sponge_log.xml"
+  }
+}
+
+# Specify which tests to run
+env_vars: {
+    key: "RUN_TESTS_SESSION"
+    value: "py-3.9"
+}
+
+# Declare build specific Cloud project.
+env_vars: {
+    key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
+    value: "python-docs-samples-tests-py39"
+}
+
+env_vars: {
+    key: "TRAMPOLINE_BUILD_FILE"
+    value: "github/python-aiplatform/.kokoro/test-samples.sh"
+}
+
+# Configure the docker image for kokoro-trampoline.
+env_vars: {
+    key: "TRAMPOLINE_IMAGE"
+    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
+}
+
+# Download secrets for samples
+gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
+
+# Download trampoline resources.
+gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
+
+# Use the trampoline script to run in docker.
+build_file: "python-aiplatform/.kokoro/trampoline_v2.sh"

.kokoro/samples/python3.9/continuous.cfg

@@ -0,0 +1,6 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+env_vars: {
+    key: "INSTALL_LIBRARY_FROM_SOURCE"
+    value: "True"
+}

.kokoro/samples/python3.9/periodic-head.cfg

@@ -0,0 +1,11 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+env_vars: {
+    key: "INSTALL_LIBRARY_FROM_SOURCE"
+    value: "True"
+}
+
+env_vars: {
+    key: "TRAMPOLINE_BUILD_FILE"
+    value: "github/python-aiplatform/.kokoro/test-samples-against-head.sh"
+}

.kokoro/samples/python3.9/periodic.cfg

@@ -0,0 +1,6 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+env_vars: {
+    key: "INSTALL_LIBRARY_FROM_SOURCE"
+    value: "False"
+}

.kokoro/samples/python3.9/presubmit.cfg

@@ -0,0 +1,6 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+env_vars: {
+    key: "INSTALL_LIBRARY_FROM_SOURCE"
+    value: "True"
+}

docs/aiplatform_v1beta1/reasoning_engine_runtime_revision_service.rst

@@ -0,0 +1,10 @@
+ReasoningEngineRuntimeRevisionService
+-------------------------------------------------------
+
+.. automodule:: google.cloud.aiplatform_v1beta1.services.reasoning_engine_runtime_revision_service
+    :members:
+    :inherited-members:
+
+.. automodule:: google.cloud.aiplatform_v1beta1.services.reasoning_engine_runtime_revision_service.pagers
+    :members:
+    :inherited-members:

docs/aiplatform_v1beta1/services_.rst

@@ -34,6 +34,7 @@ Services for Google Cloud Aiplatform v1beta1 API
     pipeline_service
     prediction_service
     reasoning_engine_execution_service
+    reasoning_engine_runtime_revision_service
     reasoning_engine_service
     schedule_service
     session_service

google/cloud/aiplatform_v1/__init__.py

@@ -900,6 +900,12 @@
 )
 from .types.reasoning_engine_execution_service import AsyncQueryReasoningEngineRequest
 from .types.reasoning_engine_execution_service import AsyncQueryReasoningEngineResponse
+from .types.reasoning_engine_execution_service import (
+    CancelAsyncQueryReasoningEngineRequest,
+)
+from .types.reasoning_engine_execution_service import (
+    CancelAsyncQueryReasoningEngineResponse,
+)
 from .types.reasoning_engine_execution_service import QueryReasoningEngineRequest
 from .types.reasoning_engine_execution_service import QueryReasoningEngineResponse
 from .types.reasoning_engine_execution_service import StreamQueryReasoningEngineRequest
@@ -1338,6 +1344,8 @@ def _get_version(dependency_name):
     "BlurBaselineConfig",
     "BoolArray",
     "CachedContent",
+    "CancelAsyncQueryReasoningEngineRequest",
+    "CancelAsyncQueryReasoningEngineResponse",
     "CancelBatchPredictionJobRequest",
     "CancelCustomJobRequest",
     "CancelDataLabelingJobRequest",

google/cloud/aiplatform_v1/gapic_metadata.json

@@ -4315,6 +4315,11 @@
                 "async_query_reasoning_engine"
               ]
             },
+            "CancelAsyncQueryReasoningEngine": {
+              "methods": [
+                "cancel_async_query_reasoning_engine"
+              ]
+            },
             "QueryReasoningEngine": {
               "methods": [
                 "query_reasoning_engine"
@@ -4335,6 +4340,11 @@
                 "async_query_reasoning_engine"
               ]
             },
+            "CancelAsyncQueryReasoningEngine": {
+              "methods": [
+                "cancel_async_query_reasoning_engine"
+              ]
+            },
             "QueryReasoningEngine": {
               "methods": [
                 "query_reasoning_engine"
@@ -4355,6 +4365,11 @@
                 "async_query_reasoning_engine"
               ]
             },
+            "CancelAsyncQueryReasoningEngine": {
+              "methods": [
+                "cancel_async_query_reasoning_engine"
+              ]
+            },
             "QueryReasoningEngine": {
               "methods": [
                 "query_reasoning_engine"

google/cloud/aiplatform_v1/services/migration_service/client.py

@@ -271,40 +271,40 @@ def parse_annotated_dataset_path(path: str) -> Dict[str, str]:
     @staticmethod
     def dataset_path(
         project: str,
-        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
+        return "projects/{project}/datasets/{dataset}".format(
             project=project,
-            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
-            path,
-        )
+        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
         return m.groupdict() if m else {}
 
     @staticmethod
     def dataset_path(
         project: str,
+        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/datasets/{dataset}".format(
+        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
             project=project,
+            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
+        m = re.match(
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
+            path,
+        )
         return m.groupdict() if m else {}
 
     @staticmethod

google/cloud/aiplatform_v1/services/reasoning_engine_execution_service/async_client.py

@@ -674,6 +674,103 @@ async def sample_async_query_reasoning_engine():
         # Done; return the response.
         return response
 
+    async def cancel_async_query_reasoning_engine(
+        self,
+        request: Optional[
+            Union[
+                reasoning_engine_execution_service.CancelAsyncQueryReasoningEngineRequest,
+                dict,
+            ]
+        ] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> reasoning_engine_execution_service.CancelAsyncQueryReasoningEngineResponse:
+        r"""Cancels an AsyncQueryReasoningEngine operation.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1
+
+            async def sample_cancel_async_query_reasoning_engine():
+                # Create a client
+                client = aiplatform_v1.ReasoningEngineExecutionServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1.CancelAsyncQueryReasoningEngineRequest(
+                    name="name_value",
+                    operation_name="operation_name_value",
+                )
+
+                # Make the request
+                response = await client.cancel_async_query_reasoning_engine(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1.types.CancelAsyncQueryReasoningEngineRequest, dict]]):
+                The request object. Request message for
+                [ReasoningEngineExecutionService.CancelAsyncQueryReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineExecutionService.CancelAsyncQueryReasoningEngine].
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
+                sent along with the request as metadata. Normally, each value must be of type `str`,
+                but for metadata keys ending with the suffix `-bin`, the corresponding values must
+                be of type `bytes`.
+
+        Returns:
+            google.cloud.aiplatform_v1.types.CancelAsyncQueryReasoningEngineResponse:
+                Response message for
+                   [ReasoningEngineExecutionService.CancelAsyncQueryReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineExecutionService.CancelAsyncQueryReasoningEngine].
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(
+            request,
+            reasoning_engine_execution_service.CancelAsyncQueryReasoningEngineRequest,
+        ):
+            request = reasoning_engine_execution_service.CancelAsyncQueryReasoningEngineRequest(
+                request
+            )
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.cancel_async_query_reasoning_engine
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def list_operations(
         self,
         request: Optional[operations_pb2.ListOperationsRequest] = None,