Add impact_score and impact_level to Flaky Test Management API spec

.generator/schemas/v2/openapi.yaml

@@ -31063,9 +31063,17 @@ components:
           type: string
         values:
           description: |-
-            Column values in row order. The element type matches the column's `type`;
-            for example a `VARCHAR` column carries strings, a `TIMESTAMP` column carries
-            Unix-millisecond integers. `null` is allowed for missing values.
+            Column values in row order, one entry per result row. The element type
+            follows the column's `type`. The following serialization rules should be
+            taken into account:
+
+            - `BIGINT` values are encoded as JSON numbers in the signed 64-bit integer range.
+            - `DECIMAL` values are encoded as JSON numbers with 64-bit double precision.
+            - `TIMESTAMP` and `DATE` values are encoded as Unix-millisecond integers; a
+              `DATE` resolves to midnight UTC.
+            - `JSON` values are returned as a JSON-encoded string.
+
+            `null` is allowed for any column type where a value is missing.
           example:
             - web-store
             - checkout
@@ -38212,6 +38220,15 @@ components:
           items:
             $ref: "#/components/schemas/FlakyTestHistory"
           type: array
+        impact_level:
+          $ref: "#/components/schemas/FlakyTestImpactLevel"
+          nullable: true
+        impact_score:
+          description: A score from 0 to 1 indicating the impact of this flaky test, based on factors such as how often it fails and how many pipelines it affects.
+          example: 0.78
+          format: double
+          nullable: true
+          type: number
         last_flaked_branch:
           description: The branch name where the test exhibited flakiness for the last time.
           example: main
@@ -38420,6 +38437,12 @@ components:
           nullable: true
           type: array
       type: object
+    FlakyTestImpactLevel:
+      description: The impact level of the flaky test, derived from its impact score.
+      enum: [low, medium, high]
+      example: medium
+      type: string
+      x-enum-varnames: [LOW, MEDIUM, HIGH]
     FlakyTestPipelineStats:
       description: CI pipeline related statistics for the flaky test. This information is only available if test runs are associated with CI pipeline events from CI Visibility.
       properties:
@@ -135602,9 +135625,6 @@ paths:
       summary: Execute a tabular DDSQL query
       tags:
         - DDSQL
-      x-unstable: |-
-        **Note**: This endpoint is in preview and is subject to change.
-        If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/).
   /api/v2/ddsql/query/tabular/fetch:
     post:
       description: |-
@@ -135713,9 +135733,6 @@ paths:
       summary: Fetch the result of a DDSQL query
       tags:
         - DDSQL
-      x-unstable: |-
-        **Note**: This endpoint is in preview and is subject to change.
-        If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/).
   /api/v2/deletion/data/{product}:
     post:
       description: Creates a data deletion request by providing a query and a timeframe targeting the proper data.

docs/datadog_api_client.v2.model.rst

@@ -15327,6 +15327,13 @@ datadog\_api\_client.v2.model.flaky\_test\_history\_policy\_meta\_config module
    :members:
    :show-inheritance:
 
+datadog\_api\_client.v2.model.flaky\_test\_impact\_level module
+---------------------------------------------------------------
+
+.. automodule:: datadog_api_client.v2.model.flaky_test_impact_level
+   :members:
+   :show-inheritance:
+
 datadog\_api\_client.v2.model.flaky\_test\_pipeline\_stats module
 -----------------------------------------------------------------
 

src/datadog_api_client/configuration.py

@@ -490,8 +490,6 @@ def __init__(
                 "v2.get_all_datasets": False,
                 "v2.get_dataset": False,
                 "v2.update_dataset": False,
-                "v2.execute_ddsql_tabular_query": False,
-                "v2.fetch_ddsql_tabular_query": False,
                 "v2.cancel_data_deletion_request": False,
                 "v2.create_data_deletion_request": False,
                 "v2.get_data_deletion_requests": False,

src/datadog_api_client/v2/model/ddsql_tabular_query_column.py

@@ -44,9 +44,17 @@ def __init__(self_, name: str, type: str, values: List[Any], **kwargs):
             for the full, up-to-date list.
         :type type: str
 
-        :param values: Column values in row order. The element type matches the column's ``type`` ;
-            for example a ``VARCHAR`` column carries strings, a ``TIMESTAMP`` column carries
-            Unix-millisecond integers. ``null`` is allowed for missing values.
+        :param values: Column values in row order, one entry per result row. The element type
+            follows the column's ``type``. The following serialization rules should be
+            taken into account:
+
+            * ``BIGINT`` values are encoded as JSON numbers in the signed 64-bit integer range.
+            * ``DECIMAL`` values are encoded as JSON numbers with 64-bit double precision.
+            * ``TIMESTAMP`` and ``DATE`` values are encoded as Unix-millisecond integers; a
+              ``DATE`` resolves to midnight UTC.
+            * ``JSON`` values are returned as a JSON-encoded string.
+
+            ``null`` is allowed for any column type where a value is missing.
         :type values: [bool, date, datetime, dict, float, int, list, str, UUID, none_type]
         """
         super().__init__(kwargs)

src/datadog_api_client/v2/model/flaky_test_attributes.py

@@ -17,6 +17,7 @@
 if TYPE_CHECKING:
     from datadog_api_client.v2.model.flaky_test_attributes_flaky_state import FlakyTestAttributesFlakyState
     from datadog_api_client.v2.model.flaky_test_history import FlakyTestHistory
+    from datadog_api_client.v2.model.flaky_test_impact_level import FlakyTestImpactLevel
     from datadog_api_client.v2.model.flaky_test_pipeline_stats import FlakyTestPipelineStats
     from datadog_api_client.v2.model.flaky_test_run_metadata import FlakyTestRunMetadata
     from datadog_api_client.v2.model.flaky_test_stats import FlakyTestStats
@@ -27,6 +28,7 @@ class FlakyTestAttributes(ModelNormal):
     def openapi_types(_):
         from datadog_api_client.v2.model.flaky_test_attributes_flaky_state import FlakyTestAttributesFlakyState
         from datadog_api_client.v2.model.flaky_test_history import FlakyTestHistory
+        from datadog_api_client.v2.model.flaky_test_impact_level import FlakyTestImpactLevel
         from datadog_api_client.v2.model.flaky_test_pipeline_stats import FlakyTestPipelineStats
         from datadog_api_client.v2.model.flaky_test_run_metadata import FlakyTestRunMetadata
         from datadog_api_client.v2.model.flaky_test_stats import FlakyTestStats
@@ -41,6 +43,8 @@ def openapi_types(_):
             "flaky_category": (str, none_type),
             "flaky_state": (FlakyTestAttributesFlakyState,),
             "history": ([FlakyTestHistory],),
+            "impact_level": (FlakyTestImpactLevel,),
+            "impact_score": (float, none_type),
             "last_flaked_branch": (str,),
             "last_flaked_sha": (str,),
             "last_flaked_ts": (int,),
@@ -63,6 +67,8 @@ def openapi_types(_):
         "flaky_category": "flaky_category",
         "flaky_state": "flaky_state",
         "history": "history",
+        "impact_level": "impact_level",
+        "impact_score": "impact_score",
         "last_flaked_branch": "last_flaked_branch",
         "last_flaked_sha": "last_flaked_sha",
         "last_flaked_ts": "last_flaked_ts",
@@ -86,6 +92,8 @@ def __init__(
         flaky_category: Union[str, none_type, UnsetType] = unset,
         flaky_state: Union[FlakyTestAttributesFlakyState, UnsetType] = unset,
         history: Union[List[FlakyTestHistory], UnsetType] = unset,
+        impact_level: Union[FlakyTestImpactLevel, UnsetType] = unset,
+        impact_score: Union[float, none_type, UnsetType] = unset,
         last_flaked_branch: Union[str, UnsetType] = unset,
         last_flaked_sha: Union[str, UnsetType] = unset,
         last_flaked_ts: Union[int, UnsetType] = unset,
@@ -132,6 +140,12 @@ def __init__(
             Includes state transitions like new -> quarantined -> fixed, along with the associated commit SHA when available.
         :type history: [FlakyTestHistory], optional
 
+        :param impact_level: The impact level of the flaky test, derived from its impact score.
+        :type impact_level: FlakyTestImpactLevel, optional
+
+        :param impact_score: A score from 0 to 1 indicating the impact of this flaky test, based on factors such as how often it fails and how many pipelines it affects.
+        :type impact_score: float, none_type, optional
+
         :param last_flaked_branch: The branch name where the test exhibited flakiness for the last time.
         :type last_flaked_branch: str, optional
 
@@ -189,6 +203,10 @@ def __init__(
             kwargs["flaky_state"] = flaky_state
         if history is not unset:
             kwargs["history"] = history
+        if impact_level is not unset:
+            kwargs["impact_level"] = impact_level
+        if impact_score is not unset:
+            kwargs["impact_score"] = impact_score
         if last_flaked_branch is not unset:
             kwargs["last_flaked_branch"] = last_flaked_branch
         if last_flaked_sha is not unset:

src/datadog_api_client/v2/model/flaky_test_impact_level.py

@@ -0,0 +1,41 @@
+# 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 datadog_api_client.model_utils import (
+    ModelSimple,
+    cached_property,
+)
+
+from typing import ClassVar
+
+
+class FlakyTestImpactLevel(ModelSimple):
+    """
+    The impact level of the flaky test, derived from its impact score.
+
+    :param value: Must be one of ["low", "medium", "high"].
+    :type value: str
+    """
+
+    allowed_values = {
+        "low",
+        "medium",
+        "high",
+    }
+    LOW: ClassVar["FlakyTestImpactLevel"]
+    MEDIUM: ClassVar["FlakyTestImpactLevel"]
+    HIGH: ClassVar["FlakyTestImpactLevel"]
+
+    @cached_property
+    def openapi_types(_):
+        return {
+            "value": (str,),
+        }
+
+
+FlakyTestImpactLevel.LOW = FlakyTestImpactLevel("low")
+FlakyTestImpactLevel.MEDIUM = FlakyTestImpactLevel("medium")
+FlakyTestImpactLevel.HIGH = FlakyTestImpactLevel("high")

src/datadog_api_client/v2/models/__init__.py

@@ -2890,6 +2890,7 @@
 from datadog_api_client.v2.model.flaky_test_history_policy_id import FlakyTestHistoryPolicyId
 from datadog_api_client.v2.model.flaky_test_history_policy_meta import FlakyTestHistoryPolicyMeta
 from datadog_api_client.v2.model.flaky_test_history_policy_meta_config import FlakyTestHistoryPolicyMetaConfig
+from datadog_api_client.v2.model.flaky_test_impact_level import FlakyTestImpactLevel
 from datadog_api_client.v2.model.flaky_test_pipeline_stats import FlakyTestPipelineStats
 from datadog_api_client.v2.model.flaky_test_run_metadata import FlakyTestRunMetadata
 from datadog_api_client.v2.model.flaky_test_stats import FlakyTestStats
@@ -12208,6 +12209,7 @@
     "FlakyTestHistoryPolicyId",
     "FlakyTestHistoryPolicyMeta",
     "FlakyTestHistoryPolicyMetaConfig",
+    "FlakyTestImpactLevel",
     "FlakyTestPipelineStats",
     "FlakyTestRunMetadata",
     "FlakyTestStats",