Regenerate client from commit 46672359 of spec repo

.apigentools-info

@@ -4,13 +4,13 @@
     "spec_versions": {
         "v1": {
             "apigentools_version": "1.6.6",
-            "regenerated": "2024-02-06 09:57:39.026179",
-            "spec_repo_commit": "3518f3a0"
+            "regenerated": "2024-02-06 15:45:01.688361",
+            "spec_repo_commit": "46672359"
         },
         "v2": {
             "apigentools_version": "1.6.6",
-            "regenerated": "2024-02-06 09:57:39.062425",
-            "spec_repo_commit": "3518f3a0"
+            "regenerated": "2024-02-06 15:45:01.704595",
+            "spec_repo_commit": "46672359"
         }
     }
 }

.generator/schemas/v1/openapi.yaml

@@ -6328,7 +6328,7 @@ components:
       description: The metrics' payload.
       properties:
         series:
-          description: A list of time series to submit to Datadog.
+          description: A list of timeseries to submit to Datadog.
           example:
           - metric: system.load.1
             points:
@@ -6381,7 +6381,7 @@ components:
           readOnly: true
           type: string
         pointlist:
-          description: List of points of the time series in milliseconds.
+          description: List of points of the timeseries in milliseconds.
           example:
           - - 1681683300000.0
             - 77.62145685254418
@@ -10409,7 +10409,7 @@ components:
       - denominator
       type: object
     SLOHistoryMetricsSeries:
-      description: 'A representation of `metric` based SLO time series for the provided
+      description: 'A representation of `metric` based SLO timeseries for the provided
         queries.
 
         This is the same response type from `batch_query` endpoint.'
@@ -10530,18 +10530,18 @@ components:
           type: string
         history:
           description: For `monitor` based SLOs, this includes the aggregated history
-            as arrays that include time series and uptime data where `0=monitor` is
+            as arrays that include timeseries and uptime data where `0=monitor` is
             in `OK` state and `1=monitor` is in `alert` state.
           example:
           - - 1579212382
             - 0
           items:
-            description: Represents an array time series data.
+            description: Represents an array timeseries data.
             example:
             - 1579212382
             - 0
             items:
-              description: A time series data point which is a tuple of (timestamp,
+              description: A timeseries data point which is a tuple of (timestamp,
                 value).
               format: double
               type: number
@@ -10712,18 +10712,18 @@ components:
           type: string
         history:
           description: For `monitor` based SLOs, this includes the aggregated history
-            as arrays that include time series and uptime data where `0=monitor` is
+            as arrays that include timeseries and uptime data where `0=monitor` is
             in `OK` state and `1=monitor` is in `alert` state.
           example:
           - - 1579212382
             - 0
           items:
-            description: Represents an array time series data.
+            description: Represents an array timeseries data.
             example:
             - 1579212382
             - 0
             items:
-              description: A time series data point which is a tuple of (timestamp,
+              description: A timeseries data point which is a tuple of (timestamp,
                 value).
               format: double
               type: number

.generator/schemas/v2/openapi.yaml

@@ -11083,7 +11083,7 @@ components:
       description: The metrics' payload.
       properties:
         series:
-          description: A list of time series to submit to Datadog.
+          description: A list of timeseries to submit to Datadog.
           example:
           - metric: system.load.1
             points:

src/datadog_api_client/v1/model/metrics_payload.py

@@ -32,7 +32,7 @@ def __init__(self_, series: List[Series], **kwargs):
         """
         The metrics' payload.
 
-        :param series: A list of time series to submit to Datadog.
+        :param series: A list of timeseries to submit to Datadog.
         :type series: [Series]
         """
         super().__init__(kwargs)

src/datadog_api_client/v1/model/metrics_query_metadata.py

@@ -120,7 +120,7 @@ def __init__(
         :param metric: Metric name.
         :type metric: str, optional
 
-        :param pointlist: List of points of the time series in milliseconds.
+        :param pointlist: List of points of the timeseries in milliseconds.
         :type pointlist: [Point], optional
 
         :param query_index: The index of the series' query within the request.

src/datadog_api_client/v1/model/slo_history_metrics.py

@@ -61,7 +61,7 @@ def __init__(
 
         This is not included in responses for ``monitor`` based SLOs.
 
-        :param denominator: A representation of ``metric`` based SLO time series for the provided queries.
+        :param denominator: A representation of ``metric`` based SLO timeseries for the provided queries.
             This is the same response type from ``batch_query`` endpoint.
         :type denominator: SLOHistoryMetricsSeries
 
@@ -71,7 +71,7 @@ def __init__(
         :param message: Optional message if there are specific query issues/warnings.
         :type message: str, optional
 
-        :param numerator: A representation of ``metric`` based SLO time series for the provided queries.
+        :param numerator: A representation of ``metric`` based SLO timeseries for the provided queries.
             This is the same response type from ``batch_query`` endpoint.
         :type numerator: SLOHistoryMetricsSeries
 

src/datadog_api_client/v1/model/slo_history_metrics_series.py

@@ -45,7 +45,7 @@ def __init__(
         **kwargs,
     ):
         """
-        A representation of ``metric`` based SLO time series for the provided queries.
+        A representation of ``metric`` based SLO timeseries for the provided queries.
         This is the same response type from ``batch_query`` endpoint.
 
         :param count: Count of submitted metrics.

src/datadog_api_client/v1/model/slo_history_monitor.py

@@ -84,7 +84,7 @@ def __init__(
         :param group: For groups in a grouped SLO, this is the group name.
         :type group: str, optional
 
-        :param history: For ``monitor`` based SLOs, this includes the aggregated history as arrays that include time series and uptime data where ``0=monitor`` is in ``OK`` state and ``1=monitor`` is in ``alert`` state.
+        :param history: For ``monitor`` based SLOs, this includes the aggregated history as arrays that include timeseries and uptime data where ``0=monitor`` is in ``OK`` state and ``1=monitor`` is in ``alert`` state.
         :type history: [[float]], optional
 
         :param monitor_modified: For ``monitor`` based SLOs, this is the last modified timestamp in epoch seconds of the monitor.

src/datadog_api_client/v1/model/slo_history_sli_data.py

@@ -84,7 +84,7 @@ def __init__(
         :param group: For groups in a grouped SLO, this is the group name.
         :type group: str, optional
 
-        :param history: For ``monitor`` based SLOs, this includes the aggregated history as arrays that include time series and uptime data where ``0=monitor`` is in ``OK`` state and ``1=monitor`` is in ``alert`` state.
+        :param history: For ``monitor`` based SLOs, this includes the aggregated history as arrays that include timeseries and uptime data where ``0=monitor`` is in ``OK`` state and ``1=monitor`` is in ``alert`` state.
         :type history: [[float]], optional
 
         :param monitor_modified: For ``monitor`` based SLOs, this is the last modified timestamp in epoch seconds of the monitor.

src/datadog_api_client/v2/model/metric_payload.py

@@ -32,7 +32,7 @@ def __init__(self_, series: List[MetricSeries], **kwargs):
         """
         The metrics' payload.
 
-        :param series: A list of time series to submit to Datadog.
+        :param series: A list of timeseries to submit to Datadog.
         :type series: [MetricSeries]
         """
         super().__init__(kwargs)