Add observability pipelines Generate metrics (generate_metrics) processor

.generator/schemas/v2/openapi.yaml

@@ -59823,6 +59823,7 @@ components:
         - $ref: "#/components/schemas/ObservabilityPipelineDedupeProcessor"
         - $ref: "#/components/schemas/ObservabilityPipelineEnrichmentTableProcessor"
         - $ref: "#/components/schemas/ObservabilityPipelineGenerateMetricsProcessor"
+        - $ref: "#/components/schemas/ObservabilityPipelineGenerateMetricsV2Processor"
         - $ref: "#/components/schemas/ObservabilityPipelineOcsfMapperProcessor"
         - $ref: "#/components/schemas/ObservabilityPipelineParseGrokProcessor"
         - $ref: "#/components/schemas/ObservabilityPipelineParseJSONProcessor"
@@ -60962,6 +60963,50 @@ components:
       type: string
       x-enum-varnames:
         - GENERATE_DATADOG_METRICS
+    ObservabilityPipelineGenerateMetricsV2Processor:
+      description: |-
+        The `generate_metrics` processor creates custom metrics from logs.
+        Metrics can be counters, gauges, or distributions and optionally grouped by log fields.
+        The generated metrics must be routed to a metrics destination using the input `<processor-id>.metrics`.
+
+        **Supported pipeline types:** logs
+      properties:
+        display_name:
+          $ref: "#/components/schemas/ObservabilityPipelineComponentDisplayName"
+        enabled:
+          description: Indicates whether the processor is enabled.
+          example: true
+          type: boolean
+        id:
+          description: The unique identifier for this component. Used to reference this component in other parts of the pipeline.
+          example: generate-metrics-processor
+          type: string
+        include:
+          description: A Datadog search query used to determine which logs this processor targets.
+          example: "service:my-service"
+          type: string
+        metrics:
+          description: Configuration for generating individual metrics.
+          items:
+            $ref: "#/components/schemas/ObservabilityPipelineGeneratedMetric"
+          type: array
+        type:
+          $ref: "#/components/schemas/ObservabilityPipelineGenerateMetricsV2ProcessorType"
+      required:
+        - id
+        - type
+        - enabled
+      type: object
+      x-pipeline-types: [logs]
+    ObservabilityPipelineGenerateMetricsV2ProcessorType:
+      default: generate_metrics
+      description: The processor type. Always `generate_metrics`.
+      enum:
+        - generate_metrics
+      example: generate_metrics
+      type: string
+      x-enum-varnames:
+        - GENERATE_METRICS
     ObservabilityPipelineGeneratedMetric:
       description: |-
         Defines a log-based custom metric, including its name, type, filter, value computation strategy,

docs/datadog_api_client.v2.model.rst

@@ -25596,6 +25596,20 @@ datadog\_api\_client.v2.model.observability\_pipeline\_generate\_metrics\_proces
    :members:
    :show-inheritance:
 
+datadog\_api\_client.v2.model.observability\_pipeline\_generate\_metrics\_v2\_processor module
+----------------------------------------------------------------------------------------------
+
+.. automodule:: datadog_api_client.v2.model.observability_pipeline_generate_metrics_v2_processor
+   :members:
+   :show-inheritance:
+
+datadog\_api\_client.v2.model.observability\_pipeline\_generate\_metrics\_v2\_processor\_type module
+----------------------------------------------------------------------------------------------------
+
+.. automodule:: datadog_api_client.v2.model.observability_pipeline_generate_metrics_v2_processor_type
+   :members:
+   :show-inheritance:
+
 datadog\_api\_client.v2.model.observability\_pipeline\_generated\_metric module
 -------------------------------------------------------------------------------
 

src/datadog_api_client/v2/model/observability_pipeline_config_processor_group.py

@@ -38,6 +38,9 @@
     from datadog_api_client.v2.model.observability_pipeline_generate_metrics_processor import (
         ObservabilityPipelineGenerateMetricsProcessor,
     )
+    from datadog_api_client.v2.model.observability_pipeline_generate_metrics_v2_processor import (
+        ObservabilityPipelineGenerateMetricsV2Processor,
+    )
     from datadog_api_client.v2.model.observability_pipeline_ocsf_mapper_processor import (
         ObservabilityPipelineOcsfMapperProcessor,
     )
@@ -128,6 +131,7 @@ def __init__(
                 ObservabilityPipelineDedupeProcessor,
                 ObservabilityPipelineEnrichmentTableProcessor,
                 ObservabilityPipelineGenerateMetricsProcessor,
+                ObservabilityPipelineGenerateMetricsV2Processor,
                 ObservabilityPipelineOcsfMapperProcessor,
                 ObservabilityPipelineParseGrokProcessor,
                 ObservabilityPipelineParseJSONProcessor,

src/datadog_api_client/v2/model/observability_pipeline_config_processor_item.py

@@ -203,6 +203,9 @@ def _composed_schemas(_):
         from datadog_api_client.v2.model.observability_pipeline_generate_metrics_processor import (
             ObservabilityPipelineGenerateMetricsProcessor,
         )
+        from datadog_api_client.v2.model.observability_pipeline_generate_metrics_v2_processor import (
+            ObservabilityPipelineGenerateMetricsV2Processor,
+        )
         from datadog_api_client.v2.model.observability_pipeline_ocsf_mapper_processor import (
             ObservabilityPipelineOcsfMapperProcessor,
         )
@@ -266,6 +269,7 @@ def _composed_schemas(_):
                 ObservabilityPipelineDedupeProcessor,
                 ObservabilityPipelineEnrichmentTableProcessor,
                 ObservabilityPipelineGenerateMetricsProcessor,
+                ObservabilityPipelineGenerateMetricsV2Processor,
                 ObservabilityPipelineOcsfMapperProcessor,
                 ObservabilityPipelineParseGrokProcessor,
                 ObservabilityPipelineParseJSONProcessor,

src/datadog_api_client/v2/model/observability_pipeline_generate_metrics_v2_processor.py

@@ -0,0 +1,96 @@
+# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
+# This product includes software developed at Datadog (https://www.datadoghq.com/).
+# Copyright 2019-Present Datadog, Inc.
+from __future__ import annotations
+
+from typing import List, Union, TYPE_CHECKING
+
+from datadog_api_client.model_utils import (
+    ModelNormal,
+    cached_property,
+    unset,
+    UnsetType,
+)
+
+
+if TYPE_CHECKING:
+    from datadog_api_client.v2.model.observability_pipeline_generated_metric import ObservabilityPipelineGeneratedMetric
+    from datadog_api_client.v2.model.observability_pipeline_generate_metrics_v2_processor_type import (
+        ObservabilityPipelineGenerateMetricsV2ProcessorType,
+    )
+
+
+class ObservabilityPipelineGenerateMetricsV2Processor(ModelNormal):
+    @cached_property
+    def openapi_types(_):
+        from datadog_api_client.v2.model.observability_pipeline_generated_metric import (
+            ObservabilityPipelineGeneratedMetric,
+        )
+        from datadog_api_client.v2.model.observability_pipeline_generate_metrics_v2_processor_type import (
+            ObservabilityPipelineGenerateMetricsV2ProcessorType,
+        )
+
+        return {
+            "display_name": (str,),
+            "enabled": (bool,),
+            "id": (str,),
+            "include": (str,),
+            "metrics": ([ObservabilityPipelineGeneratedMetric],),
+            "type": (ObservabilityPipelineGenerateMetricsV2ProcessorType,),
+        }
+
+    attribute_map = {
+        "display_name": "display_name",
+        "enabled": "enabled",
+        "id": "id",
+        "include": "include",
+        "metrics": "metrics",
+        "type": "type",
+    }
+
+    def __init__(
+        self_,
+        enabled: bool,
+        id: str,
+        type: ObservabilityPipelineGenerateMetricsV2ProcessorType,
+        display_name: Union[str, UnsetType] = unset,
+        include: Union[str, UnsetType] = unset,
+        metrics: Union[List[ObservabilityPipelineGeneratedMetric], UnsetType] = unset,
+        **kwargs,
+    ):
+        """
+        The ``generate_metrics`` processor creates custom metrics from logs.
+        Metrics can be counters, gauges, or distributions and optionally grouped by log fields.
+        The generated metrics must be routed to a metrics destination using the input ``<processor-id>.metrics``.
+
+        **Supported pipeline types:** logs
+
+        :param display_name: The display name for a component.
+        :type display_name: str, optional
+
+        :param enabled: Indicates whether the processor is enabled.
+        :type enabled: bool
+
+        :param id: The unique identifier for this component. Used to reference this component in other parts of the pipeline.
+        :type id: str
+
+        :param include: A Datadog search query used to determine which logs this processor targets.
+        :type include: str, optional
+
+        :param metrics: Configuration for generating individual metrics.
+        :type metrics: [ObservabilityPipelineGeneratedMetric], optional
+
+        :param type: The processor type. Always ``generate_metrics``.
+        :type type: ObservabilityPipelineGenerateMetricsV2ProcessorType
+        """
+        if display_name is not unset:
+            kwargs["display_name"] = display_name
+        if include is not unset:
+            kwargs["include"] = include
+        if metrics is not unset:
+            kwargs["metrics"] = metrics
+        super().__init__(kwargs)
+
+        self_.enabled = enabled
+        self_.id = id
+        self_.type = type

src/datadog_api_client/v2/model/observability_pipeline_generate_metrics_v2_processor_type.py

@@ -0,0 +1,37 @@
+# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
+# This product includes software developed at Datadog (https://www.datadoghq.com/).
+# Copyright 2019-Present Datadog, Inc.
+from __future__ import annotations
+
+
+from datadog_api_client.model_utils import (
+    ModelSimple,
+    cached_property,
+)
+
+from typing import ClassVar
+
+
+class ObservabilityPipelineGenerateMetricsV2ProcessorType(ModelSimple):
+    """
+    The processor type. Always `generate_metrics`.
+
+    :param value: If omitted defaults to "generate_metrics". Must be one of ["generate_metrics"].
+    :type value: str
+    """
+
+    allowed_values = {
+        "generate_metrics",
+    }
+    GENERATE_METRICS: ClassVar["ObservabilityPipelineGenerateMetricsV2ProcessorType"]
+
+    @cached_property
+    def openapi_types(_):
+        return {
+            "value": (str,),
+        }
+
+
+ObservabilityPipelineGenerateMetricsV2ProcessorType.GENERATE_METRICS = (
+    ObservabilityPipelineGenerateMetricsV2ProcessorType("generate_metrics")
+)

src/datadog_api_client/v2/models/__init__.py

@@ -4955,6 +4955,12 @@
 from datadog_api_client.v2.model.observability_pipeline_generate_metrics_processor_type import (
     ObservabilityPipelineGenerateMetricsProcessorType,
 )
+from datadog_api_client.v2.model.observability_pipeline_generate_metrics_v2_processor import (
+    ObservabilityPipelineGenerateMetricsV2Processor,
+)
+from datadog_api_client.v2.model.observability_pipeline_generate_metrics_v2_processor_type import (
+    ObservabilityPipelineGenerateMetricsV2ProcessorType,
+)
 from datadog_api_client.v2.model.observability_pipeline_generated_metric import ObservabilityPipelineGeneratedMetric
 from datadog_api_client.v2.model.observability_pipeline_generated_metric_increment_by_field import (
     ObservabilityPipelineGeneratedMetricIncrementByField,
@@ -12611,6 +12617,8 @@
     "ObservabilityPipelineGcpAuth",
     "ObservabilityPipelineGenerateMetricsProcessor",
     "ObservabilityPipelineGenerateMetricsProcessorType",
+    "ObservabilityPipelineGenerateMetricsV2Processor",
+    "ObservabilityPipelineGenerateMetricsV2ProcessorType",
     "ObservabilityPipelineGeneratedMetric",
     "ObservabilityPipelineGeneratedMetricIncrementByField",
     "ObservabilityPipelineGeneratedMetricIncrementByFieldStrategy",