# 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, StrictStr from typing import Any, ClassVar, Dict, List, Optional, cast as _cast 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 V1beta1NodeAllocatableMapping(BaseModel): """ NodeAllocatableMapping defines how a DRA allocation directly translates into a node allocatable resource quantity. The mapping can be derived from either the count of allocated devices or the specific capacity consumed. These options are mutually exclusive. Kubelet adds this mapped resource quantity from claim to both requests and limits at the pod-level cgroup, and to limits at the container-level cgroup for each container referencing the claim. 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 capacity_key: Optional[StrictStr] = Field(default=None, validation_alias=AliasChoices("capacityKey", "capacity_key"), serialization_alias="capacityKey", description="CapacityKey references a capacity name defined as a key in the `spec.devices[*].capacity` map. When this field is set, the value associated with this key in the `status.allocation.devices.results[*].consumedCapacity` map (for a specific claim allocation) determines the base quantity for the node allocatable resource. `capacityMultiplier` must also be set and is multiplied with the base quantity. For example, if `spec.devices[*].capacity` has an entry \"dra.example.com/memory\": \"128Gi\", and this field is set to \"dra.example.com/memory\", then for a claim allocation that consumes { \"dra.example.com/memory\": \"4Gi\" } the base quantity for the node allocatable resource mapping will be \"4Gi\". The final node allocatable resource amount is `consumedCapacity[capacityKey]` * `capacityMultiplier`.") capacity_multiplier: Optional[StrictStr] = Field(default=None, validation_alias=AliasChoices("capacityMultiplier", "capacity_multiplier"), serialization_alias="capacityMultiplier", description="CapacityMultiplier is used as a multiplier for the allocated capacity consumed. It is only valid if `capacityKey` is set. The final node allocatable resource amount is `consumedCapacity[capacityKey]` * `capacityMultiplier`. For example, if a Device's capacity \"dra.example.com/cores\" is consumed, and each \"core\" provides 2 \"cpu\"s, the mapping would be: {ResourceName: \"cpu\", capacityKey: \"dra.example.com/cores\", capacityMultiplier: \"2\"}. If a claim consumes 8 \"dra.example.com/cores\", the CPU footprint is 8 * 2 = 16.") device_multiplier: Optional[StrictStr] = Field(default=None, validation_alias=AliasChoices("deviceMultiplier", "device_multiplier"), serialization_alias="deviceMultiplier", description="DeviceMultiplier is used as a multiplier for the allocated device count in the claim. The final node allocatable resource amount is `deviceCount` * `deviceMultiplier`. For example, a DRA driver representing each cache complex (CCX) as a device would have {ResourceName: \"cpu\", deviceMultiplier: \"8\"} in its `nodeAllocatableResources`. If 2 devices (CCX) are allocated to the claim, 2 * 8 = 16 CPUs would be considered as allocated. It is only valid when `capacityKey` and `capacityMultiplier` are not set.") openapi_types: ClassVar[Dict[str, str]] = { "capacity_key": "str", "capacity_multiplier": "str", "device_multiplier": "str" } attribute_map: ClassVar[Dict[str, str]] = { "capacity_key": "capacityKey", "capacity_multiplier": "capacityMultiplier", "device_multiplier": "deviceMultiplier" } __properties: ClassVar[List[str]] = ["capacityKey", "capacityMultiplier", "deviceMultiplier"] @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 "capacityKey" not in obj and "capacity_key" in obj: obj["capacityKey"] = obj["capacity_key"] obj.pop("capacity_key", None) if "capacityMultiplier" not in obj and "capacity_multiplier" in obj: obj["capacityMultiplier"] = obj["capacity_multiplier"] obj.pop("capacity_multiplier", None) if "deviceMultiplier" not in obj and "device_multiplier" in obj: obj["deviceMultiplier"] = obj["device_multiplier"] obj.pop("device_multiplier", 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, V1beta1NodeAllocatableMapping): 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, V1beta1NodeAllocatableMapping): 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 V1beta1NodeAllocatableMapping 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 { ("capacityKey" if serialize else "capacity_key"): _to_legacy_value(getattr(self, "capacity_key", None), serialize), ("capacityMultiplier" if serialize else "capacity_multiplier"): _to_legacy_value(getattr(self, "capacity_multiplier", None), serialize), ("deviceMultiplier" if serialize else "device_multiplier"): _to_legacy_value(getattr(self, "device_multiplier", 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, ) 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 V1beta1NodeAllocatableMapping 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({ "capacityKey": obj.get("capacityKey"), "capacityMultiplier": obj.get("capacityMultiplier"), "deviceMultiplier": obj.get("deviceMultiplier") }) return _obj