# 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 pydantic import BaseModel, ConfigDict, Field, StrictStr from typing import Any, ClassVar, Dict, List 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 V1beta1DeviceDerivedAttribute(BaseModel): """ DeviceDerivedAttribute defines a derived attribute computed via CEL. 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 expression: StrictStr = Field(description="Expression is a CEL expression evaluated against each candidate device. The expression must evaluate to a primitive scalar (string, integer, boolean, or semver) or a list of these scalars ([]string, []int64, []bool, []semver) to act as a virtual grouping key. Any other return type is an error and causes CEL evaluation for the device to fail. The expression's input is an object named \"device\", which carries the same properties as in a CELDeviceSelector. When pod scheduling encounters CEL runtime errors (such as looking up an attribute that isn't defined) for some devices, it will abort allocation and fail scheduling for the Pod. Surfacing evaluation errors immediately prevents silent topology matching failures that are extremely hard to detect. A robust expression should, for example, check for the existence of attributes before referencing them to avoid runtime evaluation errors. The expression gets evaluated after a device has passed the other selector expressions for the request in which this expression is used. This allows writing expressions that are tailored towards the specific devices being requested (for example, by assuming the device is from a certain vendor and skipping those checks). The length of the expression must be smaller or equal to 10 Ki. The cost of evaluating it is also limited based on the estimated number of logical steps; the combined cost of all derived attributes in a claim is capped by a shared CEL cost budget.") name: StrictStr = Field(description="Name is the identifier for this derived attribute, used in constraints. It must be a DNS subdomain followed by a slash (\"/\") followed by a C identifier (e.g. \"example.com/numaNode\" or \"derived/numaNode\"). If the chosen name matches an existing physical attribute from a driver, the derived attribute's expression will shadow the physical attribute, and its evaluated value will be used in constraints instead. When the goal is to define a derived attribute that is only used within the ResourceClaim and not meant to shadow an existing attribute, use a domain prefix that no DRA driver should be using (e.g. \"derived/myAttribute\"). It is not valid to define a derived attribute that isn't used in at least one constraint.") openapi_types: ClassVar[Dict[str, str]] = { "expression": "str", "name": "str" } attribute_map: ClassVar[Dict[str, str]] = { "expression": "expression", "name": "name" } __properties: ClassVar[List[str]] = ["expression", "name"] 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, V1beta1DeviceDerivedAttribute): 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, V1beta1DeviceDerivedAttribute): 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 V1beta1DeviceDerivedAttribute 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 { ("expression" if serialize else "expression"): _to_legacy_value(getattr(self, "expression", None), serialize), ("name" if serialize else "name"): _to_legacy_value(getattr(self, "name", 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 V1beta1DeviceDerivedAttribute from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "expression": obj.get("expression"), "name": obj.get("name") }) return _obj