feat: add CreateServiceTimeSeries RPC (#235)

- [ ] Regenerate this pull request now.

PiperOrigin-RevId: 401594069

Source-Link: googleapis/googleapis@3b9c98e

Source-Link: googleapis/googleapis-gen@b892911
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiYjg5MjkxMWNmOWY3MWQ3YmQxNTRhY2Q5MjhkOGE1ODBkZDUxOWY3MSJ9

packages/google-cloud-monitoring/google/cloud/monitoring_v3/gapic_metadata.json

@@ -153,6 +153,11 @@
                 "create_metric_descriptor"
               ]
             },
+            "CreateServiceTimeSeries": {
+              "methods": [
+                "create_service_time_series"
+              ]
+            },
             "CreateTimeSeries": {
               "methods": [
                 "create_time_series"
@@ -198,6 +203,11 @@
                 "create_metric_descriptor"
               ]
             },
+            "CreateServiceTimeSeries": {
+              "methods": [
+                "create_service_time_series"
+              ]
+            },
             "CreateTimeSeries": {
               "methods": [
                 "create_time_series"

packages/google-cloud-monitoring/google/cloud/monitoring_v3/services/metric_service/async_client.py

@@ -561,8 +561,10 @@ async def create_metric_descriptor(
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> metric_pb2.MetricDescriptor:
-        r"""Creates a new metric descriptor. User-created metric descriptors
-        define `custom
+        r"""Creates a new metric descriptor. The creation is executed
+        asynchronously and callers may check the returned operation to
+        track its progress. User-created metric descriptors define
+        `custom
         metrics <https://cloud.google.com/monitoring/custom-metrics>`__.
 
         Args:
@@ -950,6 +952,100 @@ async def create_time_series(
             request, retry=retry, timeout=timeout, metadata=metadata,
         )
 
+    async def create_service_time_series(
+        self,
+        request: metric_service.CreateTimeSeriesRequest = None,
+        *,
+        name: str = None,
+        time_series: Sequence[gm_metric.TimeSeries] = None,
+        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        timeout: float = None,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Creates or adds data to one or more service time series. A
+        service time series is a time series for a metric from a Google
+        Cloud service. The response is empty if all time series in the
+        request were written. If any time series could not be written, a
+        corresponding failure message is included in the error response.
+        This endpoint rejects writes to user-defined metrics. This
+        method is only for use by Google Cloud services. Use
+        [projects.timeSeries.create][google.monitoring.v3.MetricService.CreateTimeSeries]
+        instead.
+
+        Args:
+            request (:class:`google.cloud.monitoring_v3.types.CreateTimeSeriesRequest`):
+                The request object. The `CreateTimeSeries` request.
+            name (:class:`str`):
+                Required. The
+                `project <https://cloud.google.com/monitoring/api/v3#project_name>`__
+                on which to execute the request. The format is:
+
+                ::
+
+                    projects/[PROJECT_ID_OR_NUMBER]
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            time_series (:class:`Sequence[google.cloud.monitoring_v3.types.TimeSeries]`):
+                Required. The new data to be added to a list of time
+                series. Adds at most one data point to each of several
+                time series. The new data point must be more recent than
+                any other point in its time series. Each ``TimeSeries``
+                value must fully specify a unique time series by
+                supplying all label values for the metric and the
+                monitored resource.
+
+                The maximum number of ``TimeSeries`` objects per
+                ``Create`` request is 200.
+
+                This corresponds to the ``time_series`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # Sanity check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name, time_series])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        request = metric_service.CreateTimeSeriesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+        if time_series:
+            request.time_series.extend(time_series)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method_async.wrap_method(
+            self._client._transport.create_service_time_series,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # 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),)),
+        )
+
+        # Send the request.
+        await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,
+        )
+
     async def __aenter__(self):
         return self
 

packages/google-cloud-monitoring/google/cloud/monitoring_v3/services/metric_service/client.py

@@ -742,8 +742,10 @@ def create_metric_descriptor(
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> metric_pb2.MetricDescriptor:
-        r"""Creates a new metric descriptor. User-created metric descriptors
-        define `custom
+        r"""Creates a new metric descriptor. The creation is executed
+        asynchronously and callers may check the returned operation to
+        track its progress. User-created metric descriptors define
+        `custom
         metrics <https://cloud.google.com/monitoring/custom-metrics>`__.
 
         Args:
@@ -1113,6 +1115,102 @@ def create_time_series(
             request, retry=retry, timeout=timeout, metadata=metadata,
         )
 
+    def create_service_time_series(
+        self,
+        request: Union[metric_service.CreateTimeSeriesRequest, dict] = None,
+        *,
+        name: str = None,
+        time_series: Sequence[gm_metric.TimeSeries] = None,
+        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        timeout: float = None,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Creates or adds data to one or more service time series. A
+        service time series is a time series for a metric from a Google
+        Cloud service. The response is empty if all time series in the
+        request were written. If any time series could not be written, a
+        corresponding failure message is included in the error response.
+        This endpoint rejects writes to user-defined metrics. This
+        method is only for use by Google Cloud services. Use
+        [projects.timeSeries.create][google.monitoring.v3.MetricService.CreateTimeSeries]
+        instead.
+
+        Args:
+            request (Union[google.cloud.monitoring_v3.types.CreateTimeSeriesRequest, dict]):
+                The request object. The `CreateTimeSeries` request.
+            name (str):
+                Required. The
+                `project <https://cloud.google.com/monitoring/api/v3#project_name>`__
+                on which to execute the request. The format is:
+
+                ::
+
+                    projects/[PROJECT_ID_OR_NUMBER]
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            time_series (Sequence[google.cloud.monitoring_v3.types.TimeSeries]):
+                Required. The new data to be added to a list of time
+                series. Adds at most one data point to each of several
+                time series. The new data point must be more recent than
+                any other point in its time series. Each ``TimeSeries``
+                value must fully specify a unique time series by
+                supplying all label values for the metric and the
+                monitored resource.
+
+                The maximum number of ``TimeSeries`` objects per
+                ``Create`` request is 200.
+
+                This corresponds to the ``time_series`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # Sanity check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name, time_series])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # Minor optimization to avoid making a copy if the user passes
+        # in a metric_service.CreateTimeSeriesRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(request, metric_service.CreateTimeSeriesRequest):
+            request = metric_service.CreateTimeSeriesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+            if time_series is not None:
+                request.time_series = time_series
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[
+            self._transport.create_service_time_series
+        ]
+
+        # 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),)),
+        )
+
+        # Send the request.
+        rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,
+        )
+
     def __enter__(self):
         return self
 

packages/google-cloud-monitoring/google/cloud/monitoring_v3/services/metric_service/transports/base.py

@@ -254,6 +254,11 @@ def _prep_wrapped_messages(self, client_info):
             self.create_time_series: gapic_v1.method.wrap_method(
                 self.create_time_series, default_timeout=12.0, client_info=client_info,
             ),
+            self.create_service_time_series: gapic_v1.method.wrap_method(
+                self.create_service_time_series,
+                default_timeout=None,
+                client_info=client_info,
+            ),
         }
 
     def close(self):
@@ -349,5 +354,14 @@ def create_time_series(
     ]:
         raise NotImplementedError()
 
+    @property
+    def create_service_time_series(
+        self,
+    ) -> Callable[
+        [metric_service.CreateTimeSeriesRequest],
+        Union[empty_pb2.Empty, Awaitable[empty_pb2.Empty]],
+    ]:
+        raise NotImplementedError()
+
 
 __all__ = ("MetricServiceTransport",)

packages/google-cloud-monitoring/google/cloud/monitoring_v3/services/metric_service/transports/grpc.py

@@ -362,8 +362,10 @@ def create_metric_descriptor(
     ]:
         r"""Return a callable for the create metric descriptor method over gRPC.
 
-        Creates a new metric descriptor. User-created metric descriptors
-        define `custom
+        Creates a new metric descriptor. The creation is executed
+        asynchronously and callers may check the returned operation to
+        track its progress. User-created metric descriptors define
+        `custom
         metrics <https://cloud.google.com/monitoring/custom-metrics>`__.
 
         Returns:
@@ -471,6 +473,40 @@ def create_time_series(
             )
         return self._stubs["create_time_series"]
 
+    @property
+    def create_service_time_series(
+        self,
+    ) -> Callable[[metric_service.CreateTimeSeriesRequest], empty_pb2.Empty]:
+        r"""Return a callable for the create service time series method over gRPC.
+
+        Creates or adds data to one or more service time series. A
+        service time series is a time series for a metric from a Google
+        Cloud service. The response is empty if all time series in the
+        request were written. If any time series could not be written, a
+        corresponding failure message is included in the error response.
+        This endpoint rejects writes to user-defined metrics. This
+        method is only for use by Google Cloud services. Use
+        [projects.timeSeries.create][google.monitoring.v3.MetricService.CreateTimeSeries]
+        instead.
+
+        Returns:
+            Callable[[~.CreateTimeSeriesRequest],
+                    ~.Empty]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "create_service_time_series" not in self._stubs:
+            self._stubs["create_service_time_series"] = self.grpc_channel.unary_unary(
+                "/google.monitoring.v3.MetricService/CreateServiceTimeSeries",
+                request_serializer=metric_service.CreateTimeSeriesRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs["create_service_time_series"]
+
     def close(self):
         self.grpc_channel.close()
 

packages/google-cloud-monitoring/google/cloud/monitoring_v3/services/metric_service/transports/grpc_asyncio.py

@@ -367,8 +367,10 @@ def create_metric_descriptor(
     ]:
         r"""Return a callable for the create metric descriptor method over gRPC.
 
-        Creates a new metric descriptor. User-created metric descriptors
-        define `custom
+        Creates a new metric descriptor. The creation is executed
+        asynchronously and callers may check the returned operation to
+        track its progress. User-created metric descriptors define
+        `custom
         metrics <https://cloud.google.com/monitoring/custom-metrics>`__.
 
         Returns:
@@ -479,6 +481,40 @@ def create_time_series(
             )
         return self._stubs["create_time_series"]
 
+    @property
+    def create_service_time_series(
+        self,
+    ) -> Callable[[metric_service.CreateTimeSeriesRequest], Awaitable[empty_pb2.Empty]]:
+        r"""Return a callable for the create service time series method over gRPC.
+
+        Creates or adds data to one or more service time series. A
+        service time series is a time series for a metric from a Google
+        Cloud service. The response is empty if all time series in the
+        request were written. If any time series could not be written, a
+        corresponding failure message is included in the error response.
+        This endpoint rejects writes to user-defined metrics. This
+        method is only for use by Google Cloud services. Use
+        [projects.timeSeries.create][google.monitoring.v3.MetricService.CreateTimeSeries]
+        instead.
+
+        Returns:
+            Callable[[~.CreateTimeSeriesRequest],
+                    Awaitable[~.Empty]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "create_service_time_series" not in self._stubs:
+            self._stubs["create_service_time_series"] = self.grpc_channel.unary_unary(
+                "/google.monitoring.v3.MetricService/CreateServiceTimeSeries",
+                request_serializer=metric_service.CreateTimeSeriesRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs["create_service_time_series"]
+
     def close(self):
         return self.grpc_channel.close()
 

packages/google-cloud-monitoring/scripts/fixup_monitoring_v3_keywords.py

@@ -45,6 +45,7 @@ class monitoringCallTransformer(cst.CSTTransformer):
         'create_notification_channel': ('name', 'notification_channel', ),
         'create_service': ('parent', 'service', 'service_id', ),
         'create_service_level_objective': ('parent', 'service_level_objective', 'service_level_objective_id', ),
+        'create_service_time_series': ('name', 'time_series', ),
         'create_time_series': ('name', 'time_series', ),
         'create_uptime_check_config': ('parent', 'uptime_check_config', ),
         'delete_alert_policy': ('name', ),