[dashboard] Add anomaly_detection to TimeseriesWidgetDefinition

.generator/schemas/v1/openapi.yaml

@@ -20118,9 +20118,27 @@ components:
           description: Color palette to apply to the widget.
           type: string
       type: object
+    TimeseriesWidgetAnomalyDetection:
+      description: Anomaly detection configuration for a timeseries widget.
+      properties:
+        detection_sensitivity:
+          $ref: "#/components/schemas/TimeseriesWidgetAnomalyDetectionSensitivity"
+      required:
+        - detection_sensitivity
+      type: object
+    TimeseriesWidgetAnomalyDetectionSensitivity:
+      description: Sensitivity level for anomaly detection. Use `never_detect` to disable anomaly detection.
+      enum:
+        - never_detect
+      example: never_detect
+      type: string
+      x-enum-varnames:
+        - NEVER_DETECT
     TimeseriesWidgetDefinition:
       description: The timeseries visualization allows you to display the evolution of one or more metrics, log events, or Indexed Spans over time.
       properties:
+        anomaly_detection:
+          $ref: "#/components/schemas/TimeseriesWidgetAnomalyDetection"
         custom_links:
           description: List of custom links.
           items:

docs/datadog_api_client.v1.model.rst

@@ -6409,6 +6409,20 @@ datadog\_api\_client.v1.model.timeseries\_request\_style module
    :members:
    :show-inheritance:
 
+datadog\_api\_client.v1.model.timeseries\_widget\_anomaly\_detection module
+---------------------------------------------------------------------------
+
+.. automodule:: datadog_api_client.v1.model.timeseries_widget_anomaly_detection
+   :members:
+   :show-inheritance:
+
+datadog\_api\_client.v1.model.timeseries\_widget\_anomaly\_detection\_sensitivity module
+----------------------------------------------------------------------------------------
+
+.. automodule:: datadog_api_client.v1.model.timeseries_widget_anomaly_detection_sensitivity
+   :members:
+   :show-inheritance:
+
 datadog\_api\_client.v1.model.timeseries\_widget\_definition module
 -------------------------------------------------------------------
 

src/datadog_api_client/v1/model/split_graph_source_widget_definition.py

@@ -78,6 +78,9 @@ def __init__(self, **kwargs):
         :param has_search_bar: Controls the display of the search bar.
         :type has_search_bar: TableWidgetHasSearchBar, optional
 
+        :param anomaly_detection: Anomaly detection configuration for a timeseries widget.
+        :type anomaly_detection: TimeseriesWidgetAnomalyDetection, optional
+
         :param events: List of widget events. Deprecated - Use `overlay` request type instead.
         :type events: [WidgetEvent], optional
 

src/datadog_api_client/v1/model/timeseries_widget_anomaly_detection.py

@@ -0,0 +1,44 @@
+# 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 TYPE_CHECKING
+
+from datadog_api_client.model_utils import (
+    ModelNormal,
+    cached_property,
+)
+
+
+if TYPE_CHECKING:
+    from datadog_api_client.v1.model.timeseries_widget_anomaly_detection_sensitivity import (
+        TimeseriesWidgetAnomalyDetectionSensitivity,
+    )
+
+
+class TimeseriesWidgetAnomalyDetection(ModelNormal):
+    @cached_property
+    def openapi_types(_):
+        from datadog_api_client.v1.model.timeseries_widget_anomaly_detection_sensitivity import (
+            TimeseriesWidgetAnomalyDetectionSensitivity,
+        )
+
+        return {
+            "detection_sensitivity": (TimeseriesWidgetAnomalyDetectionSensitivity,),
+        }
+
+    attribute_map = {
+        "detection_sensitivity": "detection_sensitivity",
+    }
+
+    def __init__(self_, detection_sensitivity: TimeseriesWidgetAnomalyDetectionSensitivity, **kwargs):
+        """
+        Anomaly detection configuration for a timeseries widget.
+
+        :param detection_sensitivity: Sensitivity level for anomaly detection. Use ``never_detect`` to disable anomaly detection.
+        :type detection_sensitivity: TimeseriesWidgetAnomalyDetectionSensitivity
+        """
+        super().__init__(kwargs)
+
+        self_.detection_sensitivity = detection_sensitivity

src/datadog_api_client/v1/model/timeseries_widget_anomaly_detection_sensitivity.py

@@ -0,0 +1,35 @@
+# 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 TimeseriesWidgetAnomalyDetectionSensitivity(ModelSimple):
+    """
+    Sensitivity level for anomaly detection. Use `never_detect` to disable anomaly detection.
+
+    :param value: If omitted defaults to "never_detect". Must be one of ["never_detect"].
+    :type value: str
+    """
+
+    allowed_values = {
+        "never_detect",
+    }
+    NEVER_DETECT: ClassVar["TimeseriesWidgetAnomalyDetectionSensitivity"]
+
+    @cached_property
+    def openapi_types(_):
+        return {
+            "value": (str,),
+        }
+
+
+TimeseriesWidgetAnomalyDetectionSensitivity.NEVER_DETECT = TimeseriesWidgetAnomalyDetectionSensitivity("never_detect")

src/datadog_api_client/v1/model/timeseries_widget_definition.py

@@ -14,6 +14,7 @@
 
 
 if TYPE_CHECKING:
+    from datadog_api_client.v1.model.timeseries_widget_anomaly_detection import TimeseriesWidgetAnomalyDetection
     from datadog_api_client.v1.model.widget_custom_link import WidgetCustomLink
     from datadog_api_client.v1.model.widget_event import WidgetEvent
     from datadog_api_client.v1.model.timeseries_widget_legend_column import TimeseriesWidgetLegendColumn
@@ -38,6 +39,7 @@ class TimeseriesWidgetDefinition(ModelNormal):
 
     @cached_property
     def openapi_types(_):
+        from datadog_api_client.v1.model.timeseries_widget_anomaly_detection import TimeseriesWidgetAnomalyDetection
         from datadog_api_client.v1.model.widget_custom_link import WidgetCustomLink
         from datadog_api_client.v1.model.widget_event import WidgetEvent
         from datadog_api_client.v1.model.timeseries_widget_legend_column import TimeseriesWidgetLegendColumn
@@ -50,6 +52,7 @@ def openapi_types(_):
         from datadog_api_client.v1.model.timeseries_widget_definition_type import TimeseriesWidgetDefinitionType
 
         return {
+            "anomaly_detection": (TimeseriesWidgetAnomalyDetection,),
             "custom_links": ([WidgetCustomLink],),
             "description": (str,),
             "events": ([WidgetEvent],),
@@ -69,6 +72,7 @@ def openapi_types(_):
         }
 
     attribute_map = {
+        "anomaly_detection": "anomaly_detection",
         "custom_links": "custom_links",
         "description": "description",
         "events": "events",
@@ -91,6 +95,7 @@ def __init__(
         self_,
         requests: List[TimeseriesWidgetRequest],
         type: TimeseriesWidgetDefinitionType,
+        anomaly_detection: Union[TimeseriesWidgetAnomalyDetection, UnsetType] = unset,
         custom_links: Union[List[WidgetCustomLink], UnsetType] = unset,
         description: Union[str, UnsetType] = unset,
         events: Union[List[WidgetEvent], UnsetType] = unset,
@@ -110,6 +115,9 @@ def __init__(
         """
         The timeseries visualization allows you to display the evolution of one or more metrics, log events, or Indexed Spans over time.
 
+        :param anomaly_detection: Anomaly detection configuration for a timeseries widget.
+        :type anomaly_detection: TimeseriesWidgetAnomalyDetection, optional
+
         :param custom_links: List of custom links.
         :type custom_links: [WidgetCustomLink], optional
 
@@ -158,6 +166,8 @@ def __init__(
         :param yaxis: Axis controls for the widget.
         :type yaxis: WidgetAxis, optional
         """
+        if anomaly_detection is not unset:
+            kwargs["anomaly_detection"] = anomaly_detection
         if custom_links is not unset:
             kwargs["custom_links"] = custom_links
         if description is not unset:

src/datadog_api_client/v1/model/widget_definition.py

@@ -335,6 +335,9 @@ def __init__(self, **kwargs):
         :param has_search_bar: Controls the display of the search bar.
         :type has_search_bar: TableWidgetHasSearchBar, optional
 
+        :param anomaly_detection: Anomaly detection configuration for a timeseries widget.
+        :type anomaly_detection: TimeseriesWidgetAnomalyDetection, optional
+
         :param legend_columns: Columns displayed in the legend.
         :type legend_columns: [TimeseriesWidgetLegendColumn], optional
 

src/datadog_api_client/v1/models/__init__.py

@@ -1132,6 +1132,10 @@
 from datadog_api_client.v1.model.timeseries_background import TimeseriesBackground
 from datadog_api_client.v1.model.timeseries_background_type import TimeseriesBackgroundType
 from datadog_api_client.v1.model.timeseries_request_style import TimeseriesRequestStyle
+from datadog_api_client.v1.model.timeseries_widget_anomaly_detection import TimeseriesWidgetAnomalyDetection
+from datadog_api_client.v1.model.timeseries_widget_anomaly_detection_sensitivity import (
+    TimeseriesWidgetAnomalyDetectionSensitivity,
+)
 from datadog_api_client.v1.model.timeseries_widget_definition import TimeseriesWidgetDefinition
 from datadog_api_client.v1.model.timeseries_widget_definition_type import TimeseriesWidgetDefinitionType
 from datadog_api_client.v1.model.timeseries_widget_expression_alias import TimeseriesWidgetExpressionAlias
@@ -2262,6 +2266,8 @@
     "TimeseriesBackground",
     "TimeseriesBackgroundType",
     "TimeseriesRequestStyle",
+    "TimeseriesWidgetAnomalyDetection",
+    "TimeseriesWidgetAnomalyDetectionSensitivity",
     "TimeseriesWidgetDefinition",
     "TimeseriesWidgetDefinitionType",
     "TimeseriesWidgetExpressionAlias",