Regenerate client from commit 14647613 of spec repo

Author: ci.datadog-api-spec

.apigentools-info

@@ -4,13 +4,13 @@
     "spec_versions": {
         "v1": {
             "apigentools_version": "1.6.6",
-            "regenerated": "2025-05-27 17:12:13.841874",
-            "spec_repo_commit": "ed439f7c"
+            "regenerated": "2025-05-30 17:18:12.280957",
+            "spec_repo_commit": "14647613"
         },
         "v2": {
             "apigentools_version": "1.6.6",
-            "regenerated": "2025-05-27 17:12:13.857049",
-            "spec_repo_commit": "ed439f7c"
+            "regenerated": "2025-05-30 17:18:12.379555",
+            "spec_repo_commit": "14647613"
         }
     }
 }

.generator/schemas/v2/openapi.yaml

@@ -34675,6 +34675,11 @@ components:
           items:
             $ref: '#/components/schemas/SensitiveDataScannerProduct'
           type: array
+        samplings:
+          description: List of sampling rates per product type.
+          items:
+            $ref: '#/components/schemas/SensitiveDataScannerSamplings'
+          type: array
       type: object
     SensitiveDataScannerGroupCreate:
       description: Data related to the creation of a group.
@@ -35106,6 +35111,19 @@ components:
         meta:
           $ref: '#/components/schemas/SensitiveDataScannerMetaVersionOnly'
       type: object
+    SensitiveDataScannerSamplings:
+      description: Sampling configurations for the Scanning Group.
+      properties:
+        product:
+          $ref: '#/components/schemas/SensitiveDataScannerProduct'
+        rate:
+          description: Rate at which data in product type will be scanned.
+          example: 100.0
+          format: double
+          maximum: 100.0
+          minimum: 0.0
+          type: number
+      type: object
     SensitiveDataScannerStandardPattern:
       description: Data containing the standard pattern id.
       properties:

docs/datadog_api_client.v2.model.rst

@@ -15215,6 +15215,13 @@ datadog\_api\_client.v2.model.sensitive\_data\_scanner\_rule\_update\_response m
    :members:
    :show-inheritance:
 
+datadog\_api\_client.v2.model.sensitive\_data\_scanner\_samplings module
+------------------------------------------------------------------------
+
+.. automodule:: datadog_api_client.v2.model.sensitive_data_scanner_samplings
+   :members:
+   :show-inheritance:
+
 datadog\_api\_client.v2.model.sensitive\_data\_scanner\_standard\_pattern module
 --------------------------------------------------------------------------------
 

src/datadog_api_client/v2/model/sensitive_data_scanner_group_attributes.py

@@ -16,20 +16,23 @@
 if TYPE_CHECKING:
     from datadog_api_client.v2.model.sensitive_data_scanner_filter import SensitiveDataScannerFilter
     from datadog_api_client.v2.model.sensitive_data_scanner_product import SensitiveDataScannerProduct
+    from datadog_api_client.v2.model.sensitive_data_scanner_samplings import SensitiveDataScannerSamplings
 
 
 class SensitiveDataScannerGroupAttributes(ModelNormal):
     @cached_property
     def openapi_types(_):
         from datadog_api_client.v2.model.sensitive_data_scanner_filter import SensitiveDataScannerFilter
         from datadog_api_client.v2.model.sensitive_data_scanner_product import SensitiveDataScannerProduct
+        from datadog_api_client.v2.model.sensitive_data_scanner_samplings import SensitiveDataScannerSamplings
 
         return {
             "description": (str,),
             "filter": (SensitiveDataScannerFilter,),
             "is_enabled": (bool,),
             "name": (str,),
             "product_list": ([SensitiveDataScannerProduct],),
+            "samplings": ([SensitiveDataScannerSamplings],),
         }
 
     attribute_map = {
@@ -38,6 +41,7 @@ def openapi_types(_):
         "is_enabled": "is_enabled",
         "name": "name",
         "product_list": "product_list",
+        "samplings": "samplings",
     }
 
     def __init__(
@@ -47,6 +51,7 @@ def __init__(
         is_enabled: Union[bool, UnsetType] = unset,
         name: Union[str, UnsetType] = unset,
         product_list: Union[List[SensitiveDataScannerProduct], UnsetType] = unset,
+        samplings: Union[List[SensitiveDataScannerSamplings], UnsetType] = unset,
         **kwargs,
     ):
         """
@@ -66,6 +71,9 @@ def __init__(
 
         :param product_list: List of products the scanning group applies.
         :type product_list: [SensitiveDataScannerProduct], optional
+
+        :param samplings: List of sampling rates per product type.
+        :type samplings: [SensitiveDataScannerSamplings], optional
         """
         if description is not unset:
             kwargs["description"] = description
@@ -77,4 +85,6 @@ def __init__(
             kwargs["name"] = name
         if product_list is not unset:
             kwargs["product_list"] = product_list
+        if samplings is not unset:
+            kwargs["samplings"] = samplings
         super().__init__(kwargs)

src/datadog_api_client/v2/model/sensitive_data_scanner_samplings.py

@@ -0,0 +1,61 @@
+# 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 Union, TYPE_CHECKING
+
+from datadog_api_client.model_utils import (
+    ModelNormal,
+    cached_property,
+    unset,
+    UnsetType,
+)
+
+
+if TYPE_CHECKING:
+    from datadog_api_client.v2.model.sensitive_data_scanner_product import SensitiveDataScannerProduct
+
+
+class SensitiveDataScannerSamplings(ModelNormal):
+    validations = {
+        "rate": {
+            "inclusive_maximum": 100.0,
+            "inclusive_minimum": 0.0,
+        },
+    }
+
+    @cached_property
+    def openapi_types(_):
+        from datadog_api_client.v2.model.sensitive_data_scanner_product import SensitiveDataScannerProduct
+
+        return {
+            "product": (SensitiveDataScannerProduct,),
+            "rate": (float,),
+        }
+
+    attribute_map = {
+        "product": "product",
+        "rate": "rate",
+    }
+
+    def __init__(
+        self_,
+        product: Union[SensitiveDataScannerProduct, UnsetType] = unset,
+        rate: Union[float, UnsetType] = unset,
+        **kwargs,
+    ):
+        """
+        Sampling configurations for the Scanning Group.
+
+        :param product: Datadog product onto which Sensitive Data Scanner can be activated.
+        :type product: SensitiveDataScannerProduct, optional
+
+        :param rate: Rate at which data in product type will be scanned.
+        :type rate: float, optional
+        """
+        if product is not unset:
+            kwargs["product"] = product
+        if rate is not unset:
+            kwargs["rate"] = rate
+        super().__init__(kwargs)

src/datadog_api_client/v2/models/__init__.py

@@ -3028,6 +3028,7 @@
 from datadog_api_client.v2.model.sensitive_data_scanner_rule_update_response import (
     SensitiveDataScannerRuleUpdateResponse,
 )
+from datadog_api_client.v2.model.sensitive_data_scanner_samplings import SensitiveDataScannerSamplings
 from datadog_api_client.v2.model.sensitive_data_scanner_standard_pattern import SensitiveDataScannerStandardPattern
 from datadog_api_client.v2.model.sensitive_data_scanner_standard_pattern_attributes import (
     SensitiveDataScannerStandardPatternAttributes,
@@ -5625,6 +5626,7 @@
     "SensitiveDataScannerRuleUpdate",
     "SensitiveDataScannerRuleUpdateRequest",
     "SensitiveDataScannerRuleUpdateResponse",
+    "SensitiveDataScannerSamplings",
     "SensitiveDataScannerStandardPattern",
     "SensitiveDataScannerStandardPatternAttributes",
     "SensitiveDataScannerStandardPatternData",

tests/v2/cassettes/test_scenarios/test_create_a_monitor_notification_rule_returns_bad_request_response.frozen

@@ -1 +1 @@
-2025-04-10T10:29:43.940Z
+2025-04-03T20:58:02.871Z

tests/v2/cassettes/test_scenarios/test_create_a_monitor_notification_rule_returns_bad_request_response.yaml

@@ -1,6 +1,6 @@
 interactions:
 - request:
-    body: '{"data":{"attributes":{"filter":{"tags":["test:test-create_a_monitor_notification_rule_returns_bad_request_response-1744280983","host:abc"]},"name":"test
+    body: '{"data":{"attributes":{"filter":{"tags":["test:test-create_a_monitor_notification_rule_returns_bad_request_response-1743713882","host:abc"]},"name":"test
       rule","recipients":["@slack-test-channel","@jira-test"]},"type":"monitor-notification-rule"}}'
     headers:
       accept:

tests/v2/cassettes/test_scenarios/test_create_a_monitor_notification_rule_returns_ok_response.frozen

@@ -1 +1 @@
-2025-04-10T10:29:44.273Z
+2025-04-03T20:58:03.005Z

tests/v2/cassettes/test_scenarios/test_create_a_monitor_notification_rule_returns_ok_response.yaml

@@ -1,6 +1,6 @@
 interactions:
 - request:
-    body: '{"data":{"attributes":{"filter":{"tags":["test:test-create_a_monitor_notification_rule_returns_ok_response-1744280984"]},"name":"test
+    body: '{"data":{"attributes":{"filter":{"tags":["test:test-create_a_monitor_notification_rule_returns_ok_response-1743713883"]},"name":"test
       rule","recipients":["slack-test-channel","jira-test"]},"type":"monitor-notification-rule"}}'
     headers:
       accept:
@@ -11,8 +11,8 @@ interactions:
     uri: https://api.datadoghq.com/api/v2/monitor/notification_rule
   response:
     body:
-      string: '{"data":{"type":"monitor-notification-rule","attributes":{"filter":{"tags":["test:test-create_a_monitor_notification_rule_returns_ok_response-1744280984"]},"recipients":["slack-test-channel","jira-test"],"name":"test
-        rule","created_at":"2025-04-10T10:29:44.595607+00:00","modified_at":"1970-01-01T00:00:00+00:00"},"id":"a3323ef6-2a04-4ef9-8de8-cbcff5c3c203","relationships":{"created_by":{"data":{"type":"users","id":"3ad549bf-eba0-11e9-a77a-0705486660d0"}}}},"included":[{"type":"users","id":"3ad549bf-eba0-11e9-a77a-0705486660d0","attributes":{"name":"frog","handle":"frog@datadoghq.com","created_at":"2019-10-02T08:15:39.795051+00:00","modified_at":"2025-04-07T20:19:46.118466+00:00","email":"frog@datadoghq.com","icon":"https://secure.gravatar.com/avatar/28a16dfe36e73b60c1d55872cb0f1172?s=48&d=retro","title":null,"verified":true,"service_account":false,"disabled":false,"allowed_login_methods":[],"status":"Active"}}]}
+      string: '{"data":{"type":"monitor-notification-rule","id":"55959a04-463a-4579-8386-8c2ca120aa52","attributes":{"creator_uuid":"3ad549bf-eba0-11e9-a77a-0705486660d0","filter":{"tags":["test:test-create_a_monitor_notification_rule_returns_ok_response-1743713883"]},"created_at":"2025-04-03T20:58:03.137650+00:00","recipients":["slack-test-channel","jira-test"],"name":"test
+        rule","modified_at":"1970-01-01T00:00:00+00:00"}}}
 
         '
     headers:
@@ -27,7 +27,7 @@ interactions:
       accept:
       - '*/*'
     method: DELETE
-    uri: https://api.datadoghq.com/api/v2/monitor/notification_rule/a3323ef6-2a04-4ef9-8de8-cbcff5c3c203
+    uri: https://api.datadoghq.com/api/v2/monitor/notification_rule/55959a04-463a-4579-8386-8c2ca120aa52
   response:
     body:
       string: ''