# coding: utf-8 """ 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. """ # noqa: E501 from __future__ import annotations import pprint import re # noqa: F401 import json from collections.abc import Mapping as _Mapping from pydantic import AliasChoices, BaseModel, ConfigDict, Field, StrictInt from typing import Any, ClassVar, Dict, List, Optional, cast as _cast from kubernetes.aio.client.models.v1_limit_response import V1LimitResponse from typing import Optional, Set from typing_extensions import Self from pydantic_core import to_jsonable_python _OPENAPI_GENERATOR_TO_DICT = "_openapi_generator_to_dict" def _get_openapi_to_dict(value: Any) -> Any: # Reciprocal function references preserve inherited generated methods # without reserving model member names. Checking both directions also # rejects overrides whose decorators copy function attributes. to_dict = getattr(value, "to_dict", None) type_to_dict = getattr(type(value), "to_dict", None) if ( not callable(to_dict) or getattr(to_dict, "__func__", None) is not type_to_dict ): return None openapi_to_dict = getattr( type_to_dict, _OPENAPI_GENERATOR_TO_DICT, None ) if ( not callable(openapi_to_dict) or getattr( openapi_to_dict, _OPENAPI_GENERATOR_TO_DICT, None, ) is not type_to_dict ): return None return openapi_to_dict def _to_legacy_item(value: Any, serialize: bool) -> Any: to_dict = getattr(value, "to_dict", None) if _get_openapi_to_dict(value) is not None and callable(to_dict): return to_dict(serialize=serialize) if callable(to_dict): return to_dict() return value def _to_legacy_value(value: Any, serialize: bool) -> Any: # python-legacy converted only immediate list elements or dictionary values: # https://github.com/OpenAPITools/openapi-generator/blob/c84b949df1a9ec04ba75989cb49b45c940c2f694/modules/openapi-generator/src/main/resources/python-legacy/model.mustache#L203-L231 if isinstance(value, list): return [_to_legacy_item(item, serialize) for item in value] if isinstance(value, dict): return { key: _to_legacy_item(item, serialize) for key, item in value.items() } return _to_legacy_item(value, serialize) def _to_openapi_value(value: Any) -> Any: if isinstance(value, list): return [_to_openapi_value(item) for item in value] if isinstance(value, dict): return {key: _to_openapi_value(item) for key, item in value.items()} to_openapi_dict = _get_openapi_to_dict(value) if to_openapi_dict is not None: return to_openapi_dict(value) to_dict = getattr(value, "to_dict", None) if callable(to_dict): return to_dict() return value class V1LimitedPriorityLevelConfiguration(BaseModel): """ LimitedPriorityLevelConfiguration specifies how to handle requests that are subject to limits. It addresses two issues: - How are requests for this priority level limited? - What should be done with requests that exceed the limit? 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. """ # noqa: E501 borrowing_limit_percent: Optional[StrictInt] = Field(default=None, validation_alias=AliasChoices("borrowingLimitPercent", "borrowing_limit_percent"), serialization_alias="borrowingLimitPercent", description="`borrowingLimitPercent`, if present, configures a limit on how many seats this priority level can borrow from other priority levels. The limit is known as this level's BorrowingConcurrencyLimit (BorrowingCL) and is a limit on the total number of seats that this level may borrow at any one time. This field holds the ratio of that limit to the level's nominal concurrency limit. When this field is non-nil, it must hold a non-negative integer and the limit is calculated as follows. BorrowingCL(i) = round( NominalCL(i) * borrowingLimitPercent(i)/100.0 ) The value of this field can be more than 100, implying that this priority level can borrow a number of seats that is greater than its own nominal concurrency limit (NominalCL). When this field is left `nil`, the limit is effectively infinite.") lendable_percent: Optional[StrictInt] = Field(default=None, validation_alias=AliasChoices("lendablePercent", "lendable_percent"), serialization_alias="lendablePercent", description="`lendablePercent` prescribes the fraction of the level's NominalCL that can be borrowed by other priority levels. The value of this field must be between 0 and 100, inclusive, and it defaults to 0. The number of seats that other levels can borrow from this level, known as this level's LendableConcurrencyLimit (LendableCL), is defined as follows. LendableCL(i) = round( NominalCL(i) * lendablePercent(i)/100.0 )") limit_response: V1LimitResponse = Field(validation_alias=AliasChoices("limitResponse", "limit_response"), serialization_alias="limitResponse") nominal_concurrency_shares: Optional[StrictInt] = Field(default=None, validation_alias=AliasChoices("nominalConcurrencyShares", "nominal_concurrency_shares"), serialization_alias="nominalConcurrencyShares", description="`nominalConcurrencyShares` (NCS) contributes to the computation of the NominalConcurrencyLimit (NominalCL) of this level. This is the number of execution seats available at this priority level. This is used both for requests dispatched from this priority level as well as requests dispatched from other priority levels borrowing seats from this level. The server's concurrency limit (ServerCL) is divided among the Limited priority levels in proportion to their NCS values: NominalCL(i) = ceil( ServerCL * NCS(i) / sum_ncs ) sum_ncs = sum[priority level k] NCS(k) Bigger numbers mean a larger nominal concurrency limit, at the expense of every other priority level. If not specified, this field defaults to a value of 30. Setting this field to zero supports the construction of a \"jail\" for this priority level that is used to hold some request(s)") openapi_types: ClassVar[Dict[str, str]] = { "borrowing_limit_percent": "int", "lendable_percent": "int", "limit_response": "V1LimitResponse", "nominal_concurrency_shares": "int" } attribute_map: ClassVar[Dict[str, str]] = { "borrowing_limit_percent": "borrowingLimitPercent", "lendable_percent": "lendablePercent", "limit_response": "limitResponse", "nominal_concurrency_shares": "nominalConcurrencyShares" } __properties: ClassVar[List[str]] = ["borrowingLimitPercent", "lendablePercent", "limitResponse", "nominalConcurrencyShares"] @classmethod def __preprocess_input_names( cls, obj: Any, remove_hidden_storage_names: bool = True, ) -> Any: if not isinstance(obj, _Mapping): return obj obj = dict(obj) if "borrowingLimitPercent" not in obj and "borrowing_limit_percent" in obj: obj["borrowingLimitPercent"] = obj["borrowing_limit_percent"] obj.pop("borrowing_limit_percent", None) if "lendablePercent" not in obj and "lendable_percent" in obj: obj["lendablePercent"] = obj["lendable_percent"] obj.pop("lendable_percent", None) if "limitResponse" not in obj and "limit_response" in obj: obj["limitResponse"] = obj["limit_response"] obj.pop("limit_response", None) if "nominalConcurrencyShares" not in obj and "nominal_concurrency_shares" in obj: obj["nominalConcurrencyShares"] = obj["nominal_concurrency_shares"] obj.pop("nominal_concurrency_shares", None) return obj model_config = ConfigDict( validate_by_name=True, validate_by_alias=True, validate_assignment=True, extra="forbid", protected_namespaces=(), ) def to_str(self) -> str: """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self) -> str: """For print and pprint""" return self.to_str() def __eq__(self, other: object) -> bool: """Returns true if both objects are equal""" if not isinstance(other, V1LimitedPriorityLevelConfiguration): return False return self.to_dict() == other.to_dict() def __ne__(self, other: object) -> bool: """Returns true if both objects are not equal""" if not isinstance(other, V1LimitedPriorityLevelConfiguration): return True return not (self == other) def to_json(self) -> str: """Returns the JSON representation of the model using alias""" to_openapi_dict = _get_openapi_to_dict(self) if to_openapi_dict is not None: return json.dumps(to_jsonable_python(to_openapi_dict(self))) return json.dumps(to_jsonable_python(self.to_dict())) @classmethod def from_json(cls, json_str: str) -> Optional[Self]: """Create an instance of V1LimitedPriorityLevelConfiguration from a JSON string""" return cls.from_dict(json.loads(json_str)) def to_dict(self, serialize: bool = False) -> Dict[str, Any]: """Return all declared model fields using public or wire names.""" return { ("borrowingLimitPercent" if serialize else "borrowing_limit_percent"): _to_legacy_value(getattr(self, "borrowing_limit_percent", None), serialize), ("lendablePercent" if serialize else "lendable_percent"): _to_legacy_value(getattr(self, "lendable_percent", None), serialize), ("limitResponse" if serialize else "limit_response"): _to_legacy_value(getattr(self, "limit_response", None), serialize), ("nominalConcurrencyShares" if serialize else "nominal_concurrency_shares"): _to_legacy_value(getattr(self, "nominal_concurrency_shares", None), serialize), } def __openapi_generator_modern_projection(self) -> Dict[str, Any]: """Return the dictionary representation of the model using alias. This has the following differences from calling pydantic's `self.model_dump(by_alias=True)`: * `None` is only added to the output dict for nullable fields that were set at model initialization. Other fields with value `None` are ignored. """ excluded_fields: Set[str] = set([ ]) _dict = self.model_dump( by_alias=True, exclude=excluded_fields, exclude_none=True, ) # override the default output from pydantic by calling `to_dict()` of limit_response if self.limit_response: _dict['limitResponse'] = _to_openapi_value(self.limit_response) return _dict setattr( to_dict, _OPENAPI_GENERATOR_TO_DICT, __openapi_generator_modern_projection, ) setattr( __openapi_generator_modern_projection, _OPENAPI_GENERATOR_TO_DICT, to_dict, ) del __openapi_generator_modern_projection @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of V1LimitedPriorityLevelConfiguration from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) obj = _cast( Dict[str, Any], cls.__preprocess_input_names( obj, remove_hidden_storage_names=True, ), ) _obj = cls.model_validate({ "borrowingLimitPercent": obj.get("borrowingLimitPercent"), "lendablePercent": obj.get("lendablePercent"), "limitResponse": V1LimitResponse.from_dict(obj["limitResponse"]) if obj.get("limitResponse") is not None else None, "nominalConcurrencyShares": obj.get("nominalConcurrencyShares") }) return _obj