eQjR,dZddlmZddlZddlZddlZddlmZddl m Z m Z m Z m Z mZmZddlmZmZmZmZmZmZddlmZddlmZmZdd lmZdd lmZd Zdd Z dd Z!ddZ"ddZ#Gdde Z$y)a  Kubernetes No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) The version of the OpenAPI document: release-1.37 Generated by OpenAPI Generator (https://openapi-generator.tech) Do not edit the class manually. ) annotationsN)Mapping) AliasChoices BaseModel ConfigDictField StrictInt StrictStr)AnyClassVarDictListOptionalcast)V2HPAScalingPolicy)rSet)Self)to_jsonable_python_openapi_generator_to_dictct|dd}tt|dd}t|rt|dd|uryt|td}t|rt|td|ury|S)Nto_dict__func__)getattrtypecallable_OPENAPI_GENERATOR_TO_DICT)valuer type_to_dictopenapi_to_dicts r/home/oem/CyberBrain26-unified/.venv/lib/python3.12/site-packages/kubernetes/client/models/v2_hpa_scaling_rules.py_get_openapi_to_dictr! seY-G4; 48L W  7J -\ A0$O _ %   &      ct|dd}t|t|r ||St|r|S|S)Nr) serialize)rr!r)rr$rs r _to_legacy_itemr%;sBeY-GE".8G3D++y Lr"c t|tr|Dcgc]}t||c}St|tr.|j Dcic]\}}|t||c}}St||Scc}wcc}}w)N) isinstancelistr%dictitems)rr$itemkeys r _to_legacy_valuer-Ds}%=BCTi0CC%#[[] T y1 1   5) ,, D s A5A:cPt|tr|Dcgc] }t|c}St|tr-|j Dcic]\}}|t|c}}St |}|||St |dd}t|r|S|Scc}wcc}}w)Nr)r'r(_to_openapi_valuer)r*r!rr)rr+r,to_openapi_dictrs r r/r/Qs%49:D!$'::%>CkkmLd&t,,LL*51O"u%%eY-Gy L;Ls B B"ceZdZUdZeddZded<ededddd Zd ed<eded d d d Z ded <eddZ d ed<dddddZ ded<ddd ddZ ded<gdZ ded<e d* d+dZeddddd Zd,d!Zd,d"Zd-d#Zd-d$Zd,d%Zed.d&Zd/d0d'Zd1d(Zeeeeeeee[ed2d)Zy)3V2HPAScalingRulesaQ HPAScalingRules configures the scaling behavior for one direction via scaling Policy Rules and a configurable metric tolerance. Scaling Policy Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen. The tolerance is applied to the metric values and prevents scaling too eagerly for small metric variations. Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. Napolicies is a list of potential scaling polices which can be used during scaling. If not set, use the default values: - For scale up: allow doubling the number of pods, or an absolute change of 4 pods in a 15s window. - For scale down: allow all pods to be removed in a 15s window.)default descriptionz"Optional[List[V2HPAScalingPolicy]]policies selectPolicy select_policyzgselectPolicy is used to specify which policy should be used. If not set, the default value Max is used.)r3validation_aliasserialization_aliasr4zOptional[StrictStr]stabilizationWindowSecondsstabilization_window_secondsastabilizationWindowSeconds is the number of seconds for which past recommendations should be considered while scaling up or scaling down. StabilizationWindowSeconds must be greater than or equal to zero and less than or equal to 3600 (one hour). If not set, use the default values: - For scale up: 0 (i.e. no stabilization is done). - For scale down: 300 (i.e. the stabilization window is 300 seconds long).zOptional[StrictInt]atolerance is the tolerance on the ratio between the current and desired metric value under which no updates are made to the desired number of replicas (e.g. 0.01 for 1%). Must be greater than or equal to zero. If not set, the default cluster-wide tolerance is applied (by default 10%). 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