Workflow Automation - Add allowedValues to InputSchemaParameters (#3177)

Co-authored-by: ci.datadog-api-spec <packages@datadoghq.com>

Author: api-clients-generation-pipeline[bot]

.generator/schemas/v2/openapi.yaml

@@ -31064,6 +31064,11 @@ components:
     InputSchemaParameters:
       description: The definition of `InputSchemaParameters` object.
       properties:
+        allowExtraValues:
+          description: The `InputSchemaParameters` `allowExtraValues`.
+          type: boolean
+        allowedValues:
+          description: The `InputSchemaParameters` `allowedValues`.
         defaultValue:
           description: The `InputSchemaParameters` `defaultValue`.
         description:
@@ -40869,8 +40874,6 @@ components:
           type: integer
         type:
           $ref: '#/components/schemas/ObservabilityPipelineBufferOptionsMemoryType'
-        when_full:
-          $ref: '#/components/schemas/ObservabilityPipelineBufferOptionsWhenFull'
       type: object
     ObservabilityPipelineMemoryBufferSizeOptions:
       description: Options for configuring a memory buffer by queue length.
@@ -40882,8 +40885,6 @@ components:
           type: integer
         type:
           $ref: '#/components/schemas/ObservabilityPipelineBufferOptionsMemoryType'
-        when_full:
-          $ref: '#/components/schemas/ObservabilityPipelineBufferOptionsWhenFull'
       type: object
     ObservabilityPipelineMetadataEntry:
       description: A custom metadata entry.

src/datadog_api_client/v2/model/input_schema_parameters.py

@@ -27,6 +27,19 @@ def openapi_types(_):
         from datadog_api_client.v2.model.input_schema_parameters_type import InputSchemaParametersType
 
         return {
+            "allow_extra_values": (bool,),
+            "allowed_values": (
+                bool,
+                date,
+                datetime,
+                dict,
+                float,
+                int,
+                list,
+                str,
+                UUID,
+                none_type,
+            ),
             "default_value": (
                 bool,
                 date,
@@ -46,6 +59,8 @@ def openapi_types(_):
         }
 
     attribute_map = {
+        "allow_extra_values": "allowExtraValues",
+        "allowed_values": "allowedValues",
         "default_value": "defaultValue",
         "description": "description",
         "label": "label",
@@ -57,6 +72,8 @@ def __init__(
         self_,
         name: str,
         type: InputSchemaParametersType,
+        allow_extra_values: Union[bool, UnsetType] = unset,
+        allowed_values: Union[Any, UnsetType] = unset,
         default_value: Union[Any, UnsetType] = unset,
         description: Union[str, UnsetType] = unset,
         label: Union[str, UnsetType] = unset,
@@ -65,6 +82,12 @@ def __init__(
         """
         The definition of ``InputSchemaParameters`` object.
 
+        :param allow_extra_values: The ``InputSchemaParameters`` ``allowExtraValues``.
+        :type allow_extra_values: bool, optional
+
+        :param allowed_values: The ``InputSchemaParameters`` ``allowedValues``.
+        :type allowed_values: bool, date, datetime, dict, float, int, list, str, UUID, none_type, optional
+
         :param default_value: The ``InputSchemaParameters`` ``defaultValue``.
         :type default_value: bool, date, datetime, dict, float, int, list, str, UUID, none_type, optional
 
@@ -80,6 +103,10 @@ def __init__(
         :param type: The definition of ``InputSchemaParametersType`` object.
         :type type: InputSchemaParametersType
         """
+        if allow_extra_values is not unset:
+            kwargs["allow_extra_values"] = allow_extra_values
+        if allowed_values is not unset:
+            kwargs["allowed_values"] = allowed_values
         if default_value is not unset:
             kwargs["default_value"] = default_value
         if description is not unset:

src/datadog_api_client/v2/model/observability_pipeline_memory_buffer_options.py

@@ -17,9 +17,6 @@
     from datadog_api_client.v2.model.observability_pipeline_buffer_options_memory_type import (
         ObservabilityPipelineBufferOptionsMemoryType,
     )
-    from datadog_api_client.v2.model.observability_pipeline_buffer_options_when_full import (
-        ObservabilityPipelineBufferOptionsWhenFull,
-    )
 
 
 class ObservabilityPipelineMemoryBufferOptions(ModelNormal):
@@ -28,27 +25,21 @@ def openapi_types(_):
         from datadog_api_client.v2.model.observability_pipeline_buffer_options_memory_type import (
             ObservabilityPipelineBufferOptionsMemoryType,
         )
-        from datadog_api_client.v2.model.observability_pipeline_buffer_options_when_full import (
-            ObservabilityPipelineBufferOptionsWhenFull,
-        )
 
         return {
             "max_size": (int,),
             "type": (ObservabilityPipelineBufferOptionsMemoryType,),
-            "when_full": (ObservabilityPipelineBufferOptionsWhenFull,),
         }
 
     attribute_map = {
         "max_size": "max_size",
         "type": "type",
-        "when_full": "when_full",
     }
 
     def __init__(
         self_,
         max_size: Union[int, UnsetType] = unset,
         type: Union[ObservabilityPipelineBufferOptionsMemoryType, UnsetType] = unset,
-        when_full: Union[ObservabilityPipelineBufferOptionsWhenFull, UnsetType] = unset,
         **kwargs,
     ):
         """
@@ -59,14 +50,9 @@ def __init__(
 
         :param type: The type of the buffer that will be configured, a memory buffer.
         :type type: ObservabilityPipelineBufferOptionsMemoryType, optional
-
-        :param when_full: Behavior when the buffer is full (block and stop accepting new events, or drop new events)
-        :type when_full: ObservabilityPipelineBufferOptionsWhenFull, optional
         """
         if max_size is not unset:
             kwargs["max_size"] = max_size
         if type is not unset:
             kwargs["type"] = type
-        if when_full is not unset:
-            kwargs["when_full"] = when_full
         super().__init__(kwargs)

src/datadog_api_client/v2/model/observability_pipeline_memory_buffer_size_options.py

@@ -17,9 +17,6 @@
     from datadog_api_client.v2.model.observability_pipeline_buffer_options_memory_type import (
         ObservabilityPipelineBufferOptionsMemoryType,
     )
-    from datadog_api_client.v2.model.observability_pipeline_buffer_options_when_full import (
-        ObservabilityPipelineBufferOptionsWhenFull,
-    )
 
 
 class ObservabilityPipelineMemoryBufferSizeOptions(ModelNormal):
@@ -28,27 +25,21 @@ def openapi_types(_):
         from datadog_api_client.v2.model.observability_pipeline_buffer_options_memory_type import (
             ObservabilityPipelineBufferOptionsMemoryType,
         )
-        from datadog_api_client.v2.model.observability_pipeline_buffer_options_when_full import (
-            ObservabilityPipelineBufferOptionsWhenFull,
-        )
 
         return {
             "max_events": (int,),
             "type": (ObservabilityPipelineBufferOptionsMemoryType,),
-            "when_full": (ObservabilityPipelineBufferOptionsWhenFull,),
         }
 
     attribute_map = {
         "max_events": "max_events",
         "type": "type",
-        "when_full": "when_full",
     }
 
     def __init__(
         self_,
         max_events: Union[int, UnsetType] = unset,
         type: Union[ObservabilityPipelineBufferOptionsMemoryType, UnsetType] = unset,
-        when_full: Union[ObservabilityPipelineBufferOptionsWhenFull, UnsetType] = unset,
         **kwargs,
     ):
         """
@@ -59,14 +50,9 @@ def __init__(
 
         :param type: The type of the buffer that will be configured, a memory buffer.
         :type type: ObservabilityPipelineBufferOptionsMemoryType, optional
-
-        :param when_full: Behavior when the buffer is full (block and stop accepting new events, or drop new events)
-        :type when_full: ObservabilityPipelineBufferOptionsWhenFull, optional
         """
         if max_events is not unset:
             kwargs["max_events"] = max_events
         if type is not unset:
             kwargs["type"] = type
-        if when_full is not unset:
-            kwargs["when_full"] = when_full
         super().__init__(kwargs)