Regenerate client from commit 96ad4d7 of spec repo

Author: ci.datadog-api-spec

.generator/schemas/v1/openapi.yaml

@@ -2782,6 +2782,7 @@ components:
         peer_tags:
           description: Tags to query for a specific downstream entity (peer.service, peer.db_instance, peer.s3, peer.s3.bucket, etc.).
           items:
+            description: A tag identifying a specific downstream entity (e.g. peer.service, peer.db_instance).
             example: "peer.service:my-service"
             type: string
           type: array
@@ -6647,6 +6648,7 @@ components:
         sources:
           additionalProperties:
             items:
+              description: A fallback source attribute name.
               type: string
             type: array
           description: Fallback sources used to populate value of field.
@@ -6695,6 +6697,7 @@ components:
           description: Optional list of profiles to modify the schema.
           example: ["security_control", "host"]
           items:
+            description: A profile name that modifies the schema behavior.
             type: string
           type: array
         schema_type:
@@ -7730,25 +7733,13 @@ components:
         - L2NORM
         - PERCENTILE
         - STDDEV
-    MonitorFormulaAndFunctionCostDataSource:
-      description: Data source for cost queries.
-      enum:
-        - metrics
-        - cloud_cost
-        - datadog_usage
-      example: "cloud_cost"
-      type: string
-      x-enum-varnames:
-        - METRICS
-        - CLOUD_COST
-        - DATADOG_USAGE
     MonitorFormulaAndFunctionCostQueryDefinition:
       description: A formula and functions cost query.
       properties:
         aggregator:
           $ref: "#/components/schemas/MonitorFormulaAndFunctionCostAggregator"
         data_source:
-          $ref: "#/components/schemas/MonitorFormulaAndFunctionCostDataSource"
+          $ref: "#/components/schemas/MonitorFormulaAndFunctionMetricsDataSource"
         name:
           description: Name of the query for use in formulas.
           example: "query1"
@@ -7808,6 +7799,7 @@ components:
           description: Columns to group results by.
           example: ["col1", "col2"]
           items:
+            description: A column name to group results by.
             type: string
           type: array
         model_type_override:
@@ -7827,6 +7819,7 @@ components:
           description: Optional grouping fields for aggregation.
           example: ["entity_id"]
           items:
+            description: A field name to group results by.
             type: string
           type: array
         measure:
@@ -11161,8 +11154,10 @@ components:
       description: Product Analytics audience account subquery.
       properties:
         name:
+          description: The name of the account subquery.
           type: string
         query:
+          description: The query string for the account subquery.
           type: string
       type: object
     ProductAnalyticsAudienceFilters:
@@ -11173,6 +11168,7 @@ components:
             $ref: "#/components/schemas/ProductAnalyticsAudienceAccountSubquery"
           type: array
         filter_condition:
+          description: An optional filter condition applied to the audience subquery.
           type: string
         segments:
           items:
@@ -11184,26 +11180,33 @@ components:
           type: array
       type: object
     ProductAnalyticsAudienceOccurrenceFilter:
+      description: Filter applied to occurrence counts when building a Product Analytics audience.
       properties:
         operator:
+          description: The comparison operator used for the occurrence filter (e.g. `gt`, `lt`, `eq`).
           type: string
         value:
+          description: The threshold value to compare occurrence counts against.
           type: string
       type: object
     ProductAnalyticsAudienceSegmentSubquery:
       description: Product Analytics audience segment subquery.
       properties:
         name:
+          description: The name of the segment subquery.
           type: string
         segment_id:
+          description: The unique identifier of the segment.
           type: string
       type: object
     ProductAnalyticsAudienceUserSubquery:
       description: Product Analytics audience user subquery.
       properties:
         name:
+          description: The name of the user subquery.
           type: string
         query:
+          description: The query string for the user subquery.
           type: string
       type: object
     QuerySortOrder:
@@ -11772,6 +11775,7 @@ components:
         - $ref: "#/components/schemas/SLOCountDefinitionWithBadEventsFormula"
     SLOCountDefinitionWithBadEventsFormula:
       additionalProperties: false
+      description: SLO count definition using a bad events formula alongside a good events formula.
       properties:
         bad_events_formula:
           $ref: "#/components/schemas/SLOFormula"
@@ -11798,6 +11802,7 @@ components:
       type: object
     SLOCountDefinitionWithTotalEventsFormula:
       additionalProperties: false
+      description: SLO count definition using a total events formula alongside a good events formula.
       properties:
         good_events_formula:
           $ref: "#/components/schemas/SLOFormula"
@@ -13004,6 +13009,7 @@ components:
           description: Fields to group by.
           example: ["source", "destination"]
           items:
+            description: A field name to group by.
             type: string
           type: array
         limit:
@@ -13626,6 +13632,7 @@ components:
             Always included in service level objective responses (but may be empty).
           example: ["env:prod", "app:core"]
           items:
+            description: A tag associated with the service level objective.
             type: string
           type: array
         created_at:
@@ -13649,6 +13656,7 @@ components:
         env_tags:
           description: Tags with the `env` tag key.
           items:
+            description: A tag with the `env` tag key.
             type: string
           type: array
         groups:
@@ -13693,6 +13701,7 @@ components:
         service_tags:
           description: Tags with the `service` tag key.
           items:
+            description: A tag with the `service` tag key.
             type: string
           type: array
         slo_type:
@@ -13702,6 +13711,7 @@ components:
         team_tags:
           description: Tags with the `team` tag key.
           items:
+            description: A tag with the `team` tag key.
             type: string
           type: array
         thresholds:
@@ -14712,6 +14722,7 @@ components:
           description: The tag values.
           example: ["env"]
           items:
+            description: A tag value string.
             minLength: 1
             type: string
           type: array
@@ -17989,6 +18000,7 @@ components:
         blockedRequestPatterns:
           description: Array of URL patterns to block.
           items:
+            description: A URL pattern to block during the Synthetic test.
             type: string
           type: array
         checkCertificateRevocation:

examples/v1_monitors_CreateMonitor_1303514967.rs

@@ -3,8 +3,8 @@ use datadog_api_client::datadog;
 use datadog_api_client::datadogV1::api_monitors::MonitorsAPI;
 use datadog_api_client::datadogV1::model::Monitor;
 use datadog_api_client::datadogV1::model::MonitorFormulaAndFunctionCostAggregator;
-use datadog_api_client::datadogV1::model::MonitorFormulaAndFunctionCostDataSource;
 use datadog_api_client::datadogV1::model::MonitorFormulaAndFunctionCostQueryDefinition;
+use datadog_api_client::datadogV1::model::MonitorFormulaAndFunctionMetricsDataSource;
 use datadog_api_client::datadogV1::model::MonitorFormulaAndFunctionQueryDefinition;
 use datadog_api_client::datadogV1::model::MonitorOptions;
 use datadog_api_client::datadogV1::model::MonitorThresholds;
@@ -28,7 +28,7 @@ async fn main() {
                             MonitorFormulaAndFunctionQueryDefinition::MonitorFormulaAndFunctionCostQueryDefinition(
                                 Box::new(
                                     MonitorFormulaAndFunctionCostQueryDefinition::new(
-                                        MonitorFormulaAndFunctionCostDataSource::CLOUD_COST,
+                                        MonitorFormulaAndFunctionMetricsDataSource::CLOUD_COST,
                                         "query1".to_string(),
                                         "sum:aws.cost.net.amortized.shared.resources.allocated{aws_product IN (amplify ,athena, backup, bedrock ) } by {aws_product}.rollup(sum, 86400)".to_string(),
                                     ).aggregator(MonitorFormulaAndFunctionCostAggregator::SUM),

src/datadogV1/model/mod.rs

@@ -1128,8 +1128,8 @@ pub mod model_monitor_formula_and_function_cost_query_definition;
 pub use self::model_monitor_formula_and_function_cost_query_definition::MonitorFormulaAndFunctionCostQueryDefinition;
 pub mod model_monitor_formula_and_function_cost_aggregator;
 pub use self::model_monitor_formula_and_function_cost_aggregator::MonitorFormulaAndFunctionCostAggregator;
-pub mod model_monitor_formula_and_function_cost_data_source;
-pub use self::model_monitor_formula_and_function_cost_data_source::MonitorFormulaAndFunctionCostDataSource;
+pub mod model_monitor_formula_and_function_metrics_data_source;
+pub use self::model_monitor_formula_and_function_metrics_data_source::MonitorFormulaAndFunctionMetricsDataSource;
 pub mod model_monitor_formula_and_function_data_quality_query_definition;
 pub use self::model_monitor_formula_and_function_data_quality_query_definition::MonitorFormulaAndFunctionDataQualityQueryDefinition;
 pub mod model_monitor_formula_and_function_data_quality_data_source;
@@ -1152,8 +1152,6 @@ pub mod model_monitor_formula_and_function_metrics_query_definition;
 pub use self::model_monitor_formula_and_function_metrics_query_definition::MonitorFormulaAndFunctionMetricsQueryDefinition;
 pub mod model_monitor_formula_and_function_metrics_aggregator;
 pub use self::model_monitor_formula_and_function_metrics_aggregator::MonitorFormulaAndFunctionMetricsAggregator;
-pub mod model_monitor_formula_and_function_metrics_data_source;
-pub use self::model_monitor_formula_and_function_metrics_data_source::MonitorFormulaAndFunctionMetricsDataSource;
 pub mod model_monitor_formula_and_function_aggregate_base_query;
 pub use self::model_monitor_formula_and_function_aggregate_base_query::MonitorFormulaAndFunctionAggregateBaseQuery;
 pub mod model_monitor_formula_and_function_aggregate_augmented_data_source;

src/datadogV1/model/model_monitor_formula_and_function_cost_data_source.rs

@@ -14,9 +14,9 @@ pub struct MonitorFormulaAndFunctionCostQueryDefinition {
     /// Aggregation methods for metric queries.
     #[serde(rename = "aggregator")]
     pub aggregator: Option<crate::datadogV1::model::MonitorFormulaAndFunctionCostAggregator>,
-    /// Data source for cost queries.
+    /// Data source for metrics queries.
     #[serde(rename = "data_source")]
-    pub data_source: crate::datadogV1::model::MonitorFormulaAndFunctionCostDataSource,
+    pub data_source: crate::datadogV1::model::MonitorFormulaAndFunctionMetricsDataSource,
     /// Name of the query for use in formulas.
     #[serde(rename = "name")]
     pub name: String,
@@ -32,7 +32,7 @@ pub struct MonitorFormulaAndFunctionCostQueryDefinition {
 
 impl MonitorFormulaAndFunctionCostQueryDefinition {
     pub fn new(
-        data_source: crate::datadogV1::model::MonitorFormulaAndFunctionCostDataSource,
+        data_source: crate::datadogV1::model::MonitorFormulaAndFunctionMetricsDataSource,
         name: String,
         query: String,
     ) -> MonitorFormulaAndFunctionCostQueryDefinition {
@@ -84,7 +84,7 @@ impl<'de> Deserialize<'de> for MonitorFormulaAndFunctionCostQueryDefinition {
                     crate::datadogV1::model::MonitorFormulaAndFunctionCostAggregator,
                 > = None;
                 let mut data_source: Option<
-                    crate::datadogV1::model::MonitorFormulaAndFunctionCostDataSource,
+                    crate::datadogV1::model::MonitorFormulaAndFunctionMetricsDataSource,
                 > = None;
                 let mut name: Option<String> = None;
                 let mut query: Option<String> = None;
@@ -115,7 +115,7 @@ impl<'de> Deserialize<'de> for MonitorFormulaAndFunctionCostQueryDefinition {
                                 Some(serde_json::from_value(v).map_err(M::Error::custom)?);
                             if let Some(ref _data_source) = data_source {
                                 match _data_source {
-                                    crate::datadogV1::model::MonitorFormulaAndFunctionCostDataSource::UnparsedObject(_data_source) => {
+                                    crate::datadogV1::model::MonitorFormulaAndFunctionMetricsDataSource::UnparsedObject(_data_source) => {
                                         _unparsed = true;
                                     },
                                     _ => {}

src/datadogV1/model/model_monitor_formula_and_function_cost_query_definition.rs

@@ -11,8 +11,10 @@ use std::fmt::{self, Formatter};
 #[skip_serializing_none]
 #[derive(Clone, Debug, PartialEq, Serialize)]
 pub struct ProductAnalyticsAudienceAccountSubquery {
+    /// The name of the account subquery.
     #[serde(rename = "name")]
     pub name: Option<String>,
+    /// The query string for the account subquery.
     #[serde(rename = "query")]
     pub query: Option<String>,
     #[serde(flatten)]

src/datadogV1/model/model_product_analytics_audience_account_subquery.rs

@@ -13,6 +13,7 @@ use std::fmt::{self, Formatter};
 pub struct ProductAnalyticsAudienceFilters {
     #[serde(rename = "accounts")]
     pub accounts: Option<Vec<crate::datadogV1::model::ProductAnalyticsAudienceAccountSubquery>>,
+    /// An optional filter condition applied to the audience subquery.
     #[serde(rename = "filter_condition")]
     pub filter_condition: Option<String>,
     #[serde(rename = "segments")]

src/datadogV1/model/model_product_analytics_audience_filters.rs

@@ -6,12 +6,15 @@ use serde::{Deserialize, Deserializer, Serialize};
 use serde_with::skip_serializing_none;
 use std::fmt::{self, Formatter};
 
+/// Filter applied to occurrence counts when building a Product Analytics audience.
 #[non_exhaustive]
 #[skip_serializing_none]
 #[derive(Clone, Debug, PartialEq, Serialize)]
 pub struct ProductAnalyticsAudienceOccurrenceFilter {
+    /// The comparison operator used for the occurrence filter (e.g. `gt`, `lt`, `eq`).
     #[serde(rename = "operator")]
     pub operator: Option<String>,
+    /// The threshold value to compare occurrence counts against.
     #[serde(rename = "value")]
     pub value: Option<String>,
     #[serde(flatten)]

src/datadogV1/model/model_product_analytics_audience_occurrence_filter.rs

@@ -11,8 +11,10 @@ use std::fmt::{self, Formatter};
 #[skip_serializing_none]
 #[derive(Clone, Debug, PartialEq, Serialize)]
 pub struct ProductAnalyticsAudienceSegmentSubquery {
+    /// The name of the segment subquery.
     #[serde(rename = "name")]
     pub name: Option<String>,
+    /// The unique identifier of the segment.
     #[serde(rename = "segment_id")]
     pub segment_id: Option<String>,
     #[serde(flatten)]

src/datadogV1/model/model_product_analytics_audience_segment_subquery.rs

@@ -11,8 +11,10 @@ use std::fmt::{self, Formatter};
 #[skip_serializing_none]
 #[derive(Clone, Debug, PartialEq, Serialize)]
 pub struct ProductAnalyticsAudienceUserSubquery {
+    /// The name of the user subquery.
     #[serde(rename = "name")]
     pub name: Option<String>,
+    /// The query string for the user subquery.
     #[serde(rename = "query")]
     pub query: Option<String>,
     #[serde(flatten)]