Regenerate client from commit 3d20c72 of spec repo

Author: ci.datadog-api-spec

.generator/schemas/v2/openapi.yaml

@@ -6971,10 +6971,15 @@ components:
       properties:
         values:
           additionalProperties:
-            x-required-field: true
-          description: Key-value pairs representing row data, where keys are field
-            names from the schema.
+            oneOf:
+            - type: string
+            - format: int32
+              maximum: 2147483647
+              type: integer
+          description: Key-value pairs representing row data, where keys are schema
+            field names and values match the corresponding column types.
           example:
+            age: 25
             example_key_value: primary_key_value
             name: row_name
           type: object
@@ -67941,6 +67946,7 @@ paths:
             - us3.datadoghq.com
             - us5.datadoghq.com
             - ap1.datadoghq.com
+            - ap2.datadoghq.com
             - datadoghq.eu
             - ddog-gov.com
           subdomain:

examples/v2/reference-tables/UpsertRows.py

@@ -14,6 +14,7 @@
         BatchUpsertRowsRequestData(
             attributes=BatchUpsertRowsRequestDataAttributes(
                 values=dict(
+                    age=25,
                     example_key_value="primary_key_value",
                     name="row_name",
                 ),

src/datadog_api_client/v2/api/events_api.py

@@ -55,6 +55,7 @@ def __init__(self, api_client=None):
                                     "us3.datadoghq.com",
                                     "us5.datadoghq.com",
                                     "ap1.datadoghq.com",
+                                    "ap2.datadoghq.com",
                                     "datadoghq.eu",
                                     "ddog-gov.com",
                                 ],

src/datadog_api_client/v2/model/batch_upsert_rows_request_data_attributes.py

@@ -3,15 +3,11 @@
 # Copyright 2019-Present Datadog, Inc.
 from __future__ import annotations
 
-from typing import Any, Dict
+from typing import Dict, Union
 
 from datadog_api_client.model_utils import (
     ModelNormal,
     cached_property,
-    date,
-    datetime,
-    none_type,
-    UUID,
 )
 
 
@@ -22,16 +18,8 @@ def openapi_types(_):
             "values": (
                 {
                     str: (
-                        bool,
-                        date,
-                        datetime,
-                        dict,
-                        float,
-                        int,
-                        list,
                         str,
-                        UUID,
-                        none_type,
+                        int,
                     )
                 },
             ),
@@ -41,12 +29,12 @@ def openapi_types(_):
         "values": "values",
     }
 
-    def __init__(self_, values: Dict[str, Any], **kwargs):
+    def __init__(self_, values: Dict[str, Union[str, int]], **kwargs):
         """
         Attributes containing row data values for row creation or update operations.
 
-        :param values: Key-value pairs representing row data, where keys are field names from the schema.
-        :type values: {str: (bool, date, datetime, dict, float, int, list, str, UUID, none_type,)}
+        :param values: Key-value pairs representing row data, where keys are schema field names and values match the corresponding column types.
+        :type values: {str: (str, int,)}
         """
         super().__init__(kwargs)
 

tests/v2/features/reference_tables.feature

@@ -148,22 +148,22 @@ Feature: Reference Tables
   Scenario: Upsert rows returns "Bad Request" response
     Given new "UpsertRows" request
     And request contains "id" parameter from "REPLACE.ME"
-    And body with value {"data": [{"attributes": {"values": {"example_key_value": "primary_key_value", "name": "row_name"}}, "id": "primary_key_value", "type": "row"}]}
+    And body with value {"data": [{"attributes": {"values": {"age": 25, "example_key_value": "primary_key_value", "name": "row_name"}}, "id": "primary_key_value", "type": "row"}]}
     When the request is sent
     Then the response status is 400 Bad Request
 
   @generated @skip @team:DataDog/redapl-experiences
   Scenario: Upsert rows returns "Not Found" response
     Given new "UpsertRows" request
     And request contains "id" parameter from "REPLACE.ME"
-    And body with value {"data": [{"attributes": {"values": {"example_key_value": "primary_key_value", "name": "row_name"}}, "id": "primary_key_value", "type": "row"}]}
+    And body with value {"data": [{"attributes": {"values": {"age": 25, "example_key_value": "primary_key_value", "name": "row_name"}}, "id": "primary_key_value", "type": "row"}]}
     When the request is sent
     Then the response status is 404 Not Found
 
   @generated @skip @team:DataDog/redapl-experiences
   Scenario: Upsert rows returns "Rows created or updated successfully" response
     Given new "UpsertRows" request
     And request contains "id" parameter from "REPLACE.ME"
-    And body with value {"data": [{"attributes": {"values": {"example_key_value": "primary_key_value", "name": "row_name"}}, "id": "primary_key_value", "type": "row"}]}
+    And body with value {"data": [{"attributes": {"values": {"age": 25, "example_key_value": "primary_key_value", "name": "row_name"}}, "id": "primary_key_value", "type": "row"}]}
     When the request is sent
     Then the response status is 200 Rows created or updated successfully