Regenerate client from commit e162a41 of spec repo

Author: ci.datadog-api-spec

.generator/schemas/v1/openapi.yaml

@@ -11900,6 +11900,60 @@ components:
           example: UTC
           type: string
       type: object
+    SLOCountDefinition:
+      description: 'A count-based (metric) SLI specification, composed of three parts:
+        the good events formula, the total events formula,
+
+        and the underlying queries.'
+      example:
+        good_events_formula: query1 - query2
+        queries:
+        - data_source: metrics
+          name: query1
+          query: sum:trace.servlet.request.hits{*} by {env}.as_count()
+        - data_source: metrics
+          name: query2
+          query: sum:trace.servlet.request.errors{*} by {env}.as_count()
+        total_events_formula: query1
+      properties:
+        good_events_formula:
+          $ref: '#/components/schemas/SLOFormula'
+        queries:
+          example:
+          - data_source: metrics
+            name: query1
+            query: sum:trace.servlet.request.hits{*} by {env}.as_count()
+          items:
+            $ref: '#/components/schemas/SLODataSourceQueryDefinition'
+          minItems: 1
+          type: array
+        total_events_formula:
+          $ref: '#/components/schemas/SLOFormula'
+      required:
+      - good_events_formula
+      - total_events_formula
+      - queries
+      type: object
+    SLOCountSpec:
+      additionalProperties: false
+      description: A metric SLI specification.
+      example:
+        count:
+          good_events_formula: query1 - query2
+          queries:
+          - data_source: metrics
+            name: query1
+            query: sum:trace.servlet.request.hits{*} by {env}.as_count()
+          - data_source: metrics
+            name: query2
+            query: sum:trace.servlet.request.errors{*} by {env}.as_count()
+          total_events_formula: query1
+      properties:
+        count:
+          $ref: '#/components/schemas/SLOCountDefinition'
+      required:
+      - count
+      type: object
     SLOCreator:
       description: The creator of the SLO
       nullable: true
@@ -12747,8 +12801,12 @@ components:
           type: string
         query:
           $ref: '#/components/schemas/ServiceLevelObjectiveQuery'
+          description: The metric query used to define a count-based SLO as the ratio
+            of good events to total events.
         sli_specification:
           $ref: '#/components/schemas/SLOSliSpec'
+          description: A generic SLI specification. This is currently used for time-slice
+            and count-based (metric) SLOs only.
         tags:
           description: 'A list of tags associated with this service level objective.
 
@@ -12804,10 +12862,11 @@ components:
           type: number
       type: object
     SLOSliSpec:
-      description: A generic SLI specification. This is currently used for time-slice
-        SLOs only.
+      description: A generic SLI specification. This is used for time-slice and count-based
+        (metric) SLOs only.
       oneOf:
       - $ref: '#/components/schemas/SLOTimeSliceSpec'
+      - $ref: '#/components/schemas/SLOCountSpec'
     SLOState:
       description: State of the SLO.
       enum:
@@ -13959,7 +14018,8 @@ components:
       - type
       type: object
     ServiceLevelObjectiveQuery:
-      description: 'A metric-based SLO. **Required if type is `metric`**. Note that
+      description: 'A count-based (metric) SLO query. This field is superseded by
+        `sli_specification` but is retained for backwards compatibility. Note that
         Datadog only allows the sum by aggregator
 
         to be used because this will sum up all request counts instead of averaging

docs/datadog_api_client.v1.model.rst

@@ -3784,6 +3784,20 @@ datadog\_api\_client.v1.model.slo\_correction\_update\_request\_attributes modul
    :members:
    :show-inheritance:
 
+datadog\_api\_client.v1.model.slo\_count\_definition module
+-----------------------------------------------------------
+
+.. automodule:: datadog_api_client.v1.model.slo_count_definition
+   :members:
+   :show-inheritance:
+
+datadog\_api\_client.v1.model.slo\_count\_spec module
+-----------------------------------------------------
+
+.. automodule:: datadog_api_client.v1.model.slo_count_spec
+   :members:
+   :show-inheritance:
+
 datadog\_api\_client.v1.model.slo\_creator module
 -------------------------------------------------
 

examples/v1/service-level-objectives/CreateSLO_512760759.py

@@ -0,0 +1,68 @@
+"""
+Create a new metric SLO object using sli_specification returns "OK" response
+"""
+
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v1.api.service_level_objectives_api import ServiceLevelObjectivesApi
+from datadog_api_client.v1.model.formula_and_function_metric_data_source import FormulaAndFunctionMetricDataSource
+from datadog_api_client.v1.model.formula_and_function_metric_query_definition import (
+    FormulaAndFunctionMetricQueryDefinition,
+)
+from datadog_api_client.v1.model.service_level_objective_request import ServiceLevelObjectiveRequest
+from datadog_api_client.v1.model.slo_count_definition import SLOCountDefinition
+from datadog_api_client.v1.model.slo_count_spec import SLOCountSpec
+from datadog_api_client.v1.model.slo_formula import SLOFormula
+from datadog_api_client.v1.model.slo_threshold import SLOThreshold
+from datadog_api_client.v1.model.slo_timeframe import SLOTimeframe
+from datadog_api_client.v1.model.slo_type import SLOType
+
+body = ServiceLevelObjectiveRequest(
+    type=SLOType.METRIC,
+    description="Metric SLO using sli_specification",
+    name="Example-Service-Level-Objective",
+    sli_specification=SLOCountSpec(
+        count=SLOCountDefinition(
+            good_events_formula=SLOFormula(
+                formula="query1 - query2",
+            ),
+            total_events_formula=SLOFormula(
+                formula="query1",
+            ),
+            queries=[
+                FormulaAndFunctionMetricQueryDefinition(
+                    data_source=FormulaAndFunctionMetricDataSource.METRICS,
+                    name="query1",
+                    query="sum:httpservice.hits{*}.as_count()",
+                ),
+                FormulaAndFunctionMetricQueryDefinition(
+                    data_source=FormulaAndFunctionMetricDataSource.METRICS,
+                    name="query2",
+                    query="sum:httpservice.errors{*}.as_count()",
+                ),
+            ],
+        ),
+    ),
+    tags=[
+        "env:prod",
+        "type:count",
+    ],
+    thresholds=[
+        SLOThreshold(
+            target=99.0,
+            target_display="99.0",
+            timeframe=SLOTimeframe.SEVEN_DAYS,
+            warning=99.5,
+            warning_display="99.5",
+        ),
+    ],
+    timeframe=SLOTimeframe.SEVEN_DAYS,
+    target_threshold=99.0,
+    warning_threshold=99.5,
+)
+
+configuration = Configuration()
+with ApiClient(configuration) as api_client:
+    api_instance = ServiceLevelObjectivesApi(api_client)
+    response = api_instance.create_slo(body=body)
+
+    print(response)

src/datadog_api_client/v1/model/service_level_objective.py

@@ -22,6 +22,7 @@
     from datadog_api_client.v1.model.slo_timeframe import SLOTimeframe
     from datadog_api_client.v1.model.slo_type import SLOType
     from datadog_api_client.v1.model.slo_time_slice_spec import SLOTimeSliceSpec
+    from datadog_api_client.v1.model.slo_count_spec import SLOCountSpec
 
 
 class ServiceLevelObjective(ModelNormal):
@@ -94,7 +95,7 @@ def __init__(
         monitor_ids: Union[List[int], UnsetType] = unset,
         monitor_tags: Union[List[str], UnsetType] = unset,
         query: Union[ServiceLevelObjectiveQuery, UnsetType] = unset,
-        sli_specification: Union[SLOSliSpec, SLOTimeSliceSpec, UnsetType] = unset,
+        sli_specification: Union[SLOSliSpec, SLOTimeSliceSpec, SLOCountSpec, UnsetType] = unset,
         tags: Union[List[str], UnsetType] = unset,
         target_threshold: Union[float, UnsetType] = unset,
         timeframe: Union[SLOTimeframe, UnsetType] = unset,
@@ -151,12 +152,12 @@ def __init__(
         :param name: The name of the service level objective object.
         :type name: str
 
-        :param query: A metric-based SLO. **Required if type is metric**. Note that Datadog only allows the sum by aggregator
+        :param query: A count-based (metric) SLO query. This field is superseded by ``sli_specification`` but is retained for backwards compatibility. Note that Datadog only allows the sum by aggregator
             to be used because this will sum up all request counts instead of averaging them, or taking the max or
             min of all of those requests.
         :type query: ServiceLevelObjectiveQuery, optional
 
-        :param sli_specification: A generic SLI specification. This is currently used for time-slice SLOs only.
+        :param sli_specification: A generic SLI specification. This is used for time-slice and count-based (metric) SLOs only.
         :type sli_specification: SLOSliSpec, optional
 
         :param tags: A list of tags associated with this service level objective.

src/datadog_api_client/v1/model/service_level_objective_query.py

@@ -25,7 +25,7 @@ def openapi_types(_):
 
     def __init__(self_, denominator: str, numerator: str, **kwargs):
         """
-        A metric-based SLO. **Required if type is metric**. Note that Datadog only allows the sum by aggregator
+        A count-based (metric) SLO query. This field is superseded by ``sli_specification`` but is retained for backwards compatibility. Note that Datadog only allows the sum by aggregator
         to be used because this will sum up all request counts instead of averaging them, or taking the max or
         min of all of those requests.
 

src/datadog_api_client/v1/model/service_level_objective_request.py

@@ -21,6 +21,7 @@
     from datadog_api_client.v1.model.slo_timeframe import SLOTimeframe
     from datadog_api_client.v1.model.slo_type import SLOType
     from datadog_api_client.v1.model.slo_time_slice_spec import SLOTimeSliceSpec
+    from datadog_api_client.v1.model.slo_count_spec import SLOCountSpec
 
 
 class ServiceLevelObjectiveRequest(ModelNormal):
@@ -71,7 +72,7 @@ def __init__(
         groups: Union[List[str], UnsetType] = unset,
         monitor_ids: Union[List[int], UnsetType] = unset,
         query: Union[ServiceLevelObjectiveQuery, UnsetType] = unset,
-        sli_specification: Union[SLOSliSpec, SLOTimeSliceSpec, UnsetType] = unset,
+        sli_specification: Union[SLOSliSpec, SLOTimeSliceSpec, SLOCountSpec, UnsetType] = unset,
         tags: Union[List[str], UnsetType] = unset,
         target_threshold: Union[float, UnsetType] = unset,
         timeframe: Union[SLOTimeframe, UnsetType] = unset,
@@ -102,12 +103,12 @@ def __init__(
         :param name: The name of the service level objective object.
         :type name: str
 
-        :param query: A metric-based SLO. **Required if type is metric**. Note that Datadog only allows the sum by aggregator
+        :param query: A count-based (metric) SLO query. This field is superseded by ``sli_specification`` but is retained for backwards compatibility. Note that Datadog only allows the sum by aggregator
             to be used because this will sum up all request counts instead of averaging them, or taking the max or
             min of all of those requests.
         :type query: ServiceLevelObjectiveQuery, optional
 
-        :param sli_specification: A generic SLI specification. This is currently used for time-slice SLOs only.
+        :param sli_specification: A generic SLI specification. This is used for time-slice and count-based (metric) SLOs only.
         :type sli_specification: SLOSliSpec, optional
 
         :param tags: A list of tags associated with this service level objective.

src/datadog_api_client/v1/model/slo_count_definition.py

@@ -0,0 +1,70 @@
+# 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 List, Union, TYPE_CHECKING
+
+from datadog_api_client.model_utils import (
+    ModelNormal,
+    cached_property,
+)
+
+
+if TYPE_CHECKING:
+    from datadog_api_client.v1.model.slo_formula import SLOFormula
+    from datadog_api_client.v1.model.slo_data_source_query_definition import SLODataSourceQueryDefinition
+    from datadog_api_client.v1.model.formula_and_function_metric_query_definition import (
+        FormulaAndFunctionMetricQueryDefinition,
+    )
+
+
+class SLOCountDefinition(ModelNormal):
+    validations = {
+        "queries": {
+            "min_items": 1,
+        },
+    }
+
+    @cached_property
+    def openapi_types(_):
+        from datadog_api_client.v1.model.slo_formula import SLOFormula
+        from datadog_api_client.v1.model.slo_data_source_query_definition import SLODataSourceQueryDefinition
+
+        return {
+            "good_events_formula": (SLOFormula,),
+            "queries": ([SLODataSourceQueryDefinition],),
+            "total_events_formula": (SLOFormula,),
+        }
+
+    attribute_map = {
+        "good_events_formula": "good_events_formula",
+        "queries": "queries",
+        "total_events_formula": "total_events_formula",
+    }
+
+    def __init__(
+        self_,
+        good_events_formula: SLOFormula,
+        queries: List[Union[SLODataSourceQueryDefinition, FormulaAndFunctionMetricQueryDefinition]],
+        total_events_formula: SLOFormula,
+        **kwargs,
+    ):
+        """
+        A count-based (metric) SLI specification, composed of three parts: the good events formula, the total events formula,
+        and the underlying queries.
+
+        :param good_events_formula: A formula that specifies how to combine the results of multiple queries.
+        :type good_events_formula: SLOFormula
+
+        :param queries:
+        :type queries: [SLODataSourceQueryDefinition]
+
+        :param total_events_formula: A formula that specifies how to combine the results of multiple queries.
+        :type total_events_formula: SLOFormula
+        """
+        super().__init__(kwargs)
+
+        self_.good_events_formula = good_events_formula
+        self_.queries = queries
+        self_.total_events_formula = total_events_formula

src/datadog_api_client/v1/model/slo_count_spec.py

@@ -0,0 +1,45 @@
+# 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 TYPE_CHECKING
+
+from datadog_api_client.model_utils import (
+    ModelNormal,
+    cached_property,
+)
+
+
+if TYPE_CHECKING:
+    from datadog_api_client.v1.model.slo_count_definition import SLOCountDefinition
+
+
+class SLOCountSpec(ModelNormal):
+    @cached_property
+    def additional_properties_type(_):
+        return None
+
+    @cached_property
+    def openapi_types(_):
+        from datadog_api_client.v1.model.slo_count_definition import SLOCountDefinition
+
+        return {
+            "count": (SLOCountDefinition,),
+        }
+
+    attribute_map = {
+        "count": "count",
+    }
+
+    def __init__(self_, count: SLOCountDefinition, **kwargs):
+        """
+        A metric SLI specification.
+
+        :param count: A count-based (metric) SLI specification, composed of three parts: the good events formula, the total events formula,
+            and the underlying queries.
+        :type count: SLOCountDefinition
+        """
+        super().__init__(kwargs)
+
+        self_.count = count