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ci.datadog-api-spec
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Regenerate client from commit 099bff8 of spec repo
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lines changed

.generator/schemas/v1/openapi.yaml

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@@ -2782,6 +2782,7 @@ components:
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peer_tags:
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description: Tags to query for a specific downstream entity (peer.service, peer.db_instance, peer.s3, peer.s3.bucket, etc.).
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items:
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description: A tag identifying a specific downstream entity (e.g. peer.service, peer.db_instance).
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example: "peer.service:my-service"
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type: string
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type: array
@@ -6647,6 +6648,7 @@ components:
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sources:
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additionalProperties:
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items:
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description: A fallback source attribute name.
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type: string
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type: array
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description: Fallback sources used to populate value of field.
@@ -6695,6 +6697,7 @@ components:
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description: Optional list of profiles to modify the schema.
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example: ["security_control", "host"]
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items:
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description: A profile name that modifies the schema behavior.
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type: string
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type: array
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schema_type:
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description: Columns to group results by.
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example: ["col1", "col2"]
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items:
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description: A column name to group results by.
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type: string
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type: array
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model_type_override:
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description: Optional grouping fields for aggregation.
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example: ["entity_id"]
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items:
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description: A field name to group results by.
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type: string
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type: array
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measure:
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description: Product Analytics audience account subquery.
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properties:
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name:
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description: The name of the account subquery.
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type: string
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query:
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description: The query string for the account subquery.
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type: string
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type: object
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ProductAnalyticsAudienceFilters:
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$ref: "#/components/schemas/ProductAnalyticsAudienceAccountSubquery"
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type: array
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filter_condition:
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description: An optional filter condition applied to the audience subquery.
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type: string
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segments:
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items:
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type: array
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type: object
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ProductAnalyticsAudienceOccurrenceFilter:
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description: Filter applied to occurrence counts when building a Product Analytics audience.
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properties:
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operator:
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description: The comparison operator used for the occurrence filter (e.g. `gt`, `lt`, `eq`).
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type: string
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value:
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description: The threshold value to compare occurrence counts against.
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type: string
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type: object
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ProductAnalyticsAudienceSegmentSubquery:
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description: Product Analytics audience segment subquery.
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properties:
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name:
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description: The name of the segment subquery.
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type: string
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segment_id:
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description: The unique identifier of the segment.
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type: string
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type: object
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ProductAnalyticsAudienceUserSubquery:
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description: Product Analytics audience user subquery.
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properties:
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name:
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description: The name of the user subquery.
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type: string
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query:
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description: The query string for the user subquery.
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type: string
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type: object
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QuerySortOrder:
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- $ref: "#/components/schemas/SLOCountDefinitionWithBadEventsFormula"
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SLOCountDefinitionWithBadEventsFormula:
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additionalProperties: false
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description: SLO count definition using a bad events formula alongside a good events formula.
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properties:
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bad_events_formula:
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$ref: "#/components/schemas/SLOFormula"
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type: object
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SLOCountDefinitionWithTotalEventsFormula:
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additionalProperties: false
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description: SLO count definition using a total events formula alongside a good events formula.
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properties:
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good_events_formula:
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$ref: "#/components/schemas/SLOFormula"
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description: Fields to group by.
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example: ["source", "destination"]
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items:
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description: A field name to group by.
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type: string
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type: array
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limit:
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Always included in service level objective responses (but may be empty).
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example: ["env:prod", "app:core"]
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items:
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description: A tag associated with the service level objective.
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type: string
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type: array
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created_at:
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env_tags:
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description: Tags with the `env` tag key.
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items:
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description: A tag with the `env` tag key.
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type: string
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type: array
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groups:
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service_tags:
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description: Tags with the `service` tag key.
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items:
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description: A tag with the `service` tag key.
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type: string
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type: array
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slo_type:
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team_tags:
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description: Tags with the `team` tag key.
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items:
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description: A tag with the `team` tag key.
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type: string
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type: array
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thresholds:
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description: The tag values.
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example: ["env"]
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items:
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description: A tag value string.
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minLength: 1
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type: string
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type: array
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blockedRequestPatterns:
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description: Array of URL patterns to block.
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items:
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description: A URL pattern to block during the Synthetic test.
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type: string
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type: array
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checkCertificateRevocation:

src/datadog_api_client/v1/model/product_analytics_audience_account_subquery.py

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@@ -30,10 +30,10 @@ def __init__(self_, name: Union[str, UnsetType] = unset, query: Union[str, Unset
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"""
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Product Analytics audience account subquery.
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:param name:
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:param name: The name of the account subquery.
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:type name: str, optional
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:param query:
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:param query: The query string for the account subquery.
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:type query: str, optional
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"""
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if name is not unset:

src/datadog_api_client/v1/model/product_analytics_audience_filters.py

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@@ -66,7 +66,7 @@ def __init__(
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:param accounts:
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:type accounts: [ProductAnalyticsAudienceAccountSubquery], optional
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:param filter_condition:
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:param filter_condition: An optional filter condition applied to the audience subquery.
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:type filter_condition: str, optional
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:param segments:

src/datadog_api_client/v1/model/product_analytics_audience_occurrence_filter.py

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@@ -28,12 +28,12 @@ def openapi_types(_):
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def __init__(self_, operator: Union[str, UnsetType] = unset, value: Union[str, UnsetType] = unset, **kwargs):
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"""
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Filter applied to occurrence counts when building a Product Analytics audience.
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:param operator:
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:param operator: The comparison operator used for the occurrence filter (e.g. ``gt`` , ``lt`` , ``eq`` ).
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:type operator: str, optional
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:param value:
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:param value: The threshold value to compare occurrence counts against.
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:type value: str, optional
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"""
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if operator is not unset:

src/datadog_api_client/v1/model/product_analytics_audience_segment_subquery.py

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@@ -30,10 +30,10 @@ def __init__(self_, name: Union[str, UnsetType] = unset, segment_id: Union[str,
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"""
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Product Analytics audience segment subquery.
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:param name:
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:param name: The name of the segment subquery.
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:type name: str, optional
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:param segment_id:
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:param segment_id: The unique identifier of the segment.
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:type segment_id: str, optional
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"""
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if name is not unset:

src/datadog_api_client/v1/model/product_analytics_audience_user_subquery.py

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@@ -30,10 +30,10 @@ def __init__(self_, name: Union[str, UnsetType] = unset, query: Union[str, Unset
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"""
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Product Analytics audience user subquery.
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:param name:
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:param name: The name of the user subquery.
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:type name: str, optional
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:param query:
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:param query: The query string for the user subquery.
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:type query: str, optional
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"""
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if name is not unset:

src/datadog_api_client/v1/model/sankey_rum_query.py

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@@ -102,7 +102,7 @@ def __init__(
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:param number_of_steps: Number of steps.
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:type number_of_steps: int, optional
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:param occurrences:
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:param occurrences: Filter applied to occurrence counts when building a Product Analytics audience.
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:type occurrences: ProductAnalyticsAudienceOccurrenceFilter, optional
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:param query_string: Query string.

src/datadog_api_client/v1/model/slo_count_definition_with_bad_events_formula.py

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@@ -55,7 +55,7 @@ def __init__(
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**kwargs,
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):
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"""
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SLO count definition using a bad events formula alongside a good events formula.
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:param bad_events_formula: A formula that specifies how to combine the results of multiple queries.
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:type bad_events_formula: SLOFormula

src/datadog_api_client/v1/model/slo_count_definition_with_total_events_formula.py

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@@ -55,7 +55,7 @@ def __init__(
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**kwargs,
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):
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"""
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SLO count definition using a total events formula alongside a good events formula.
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:param good_events_formula: A formula that specifies how to combine the results of multiple queries.
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:type good_events_formula: SLOFormula

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