# 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 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 V1QueuingConfiguration(BaseModel): """ QueuingConfiguration holds the configuration parameters for queuing 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 hand_size: Optional[StrictInt] = Field(default=None, validation_alias=AliasChoices("handSize", "hand_size"), serialization_alias="handSize", description="`handSize` is a small positive number that configures the shuffle sharding of requests into queues. When enqueuing a request at this priority level the request's flow identifier (a string pair) is hashed and the hash value is used to shuffle the list of queues and deal a hand of the size specified here. The request is put into one of the shortest queues in that hand. `handSize` must be no larger than `queues`, and should be significantly smaller (so that a few heavy flows do not saturate most of the queues). See the user-facing documentation for more extensive guidance on setting this field. This field has a default value of 8.") queue_length_limit: Optional[StrictInt] = Field(default=None, validation_alias=AliasChoices("queueLengthLimit", "queue_length_limit"), serialization_alias="queueLengthLimit", description="`queueLengthLimit` is the maximum number of requests allowed to be waiting in a given queue of this priority level at a time; excess requests are rejected. This value must be positive. If not specified, it will be defaulted to 50.") queues: Optional[StrictInt] = Field(default=None, description="`queues` is the number of queues for this priority level. The queues exist independently at each apiserver. The value must be positive. Setting it to 1 effectively precludes shufflesharding and thus makes the distinguisher method of associated flow schemas irrelevant. This field has a default value of 64.") openapi_types: ClassVar[Dict[str, str]] = { "hand_size": "int", "queue_length_limit": "int", "queues": "int" } attribute_map: ClassVar[Dict[str, str]] = { "hand_size": "handSize", "queue_length_limit": "queueLengthLimit", "queues": "queues" } __properties: ClassVar[List[str]] = ["handSize", "queueLengthLimit", "queues"] @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 "handSize" not in obj and "hand_size" in obj: obj["handSize"] = obj["hand_size"] obj.pop("hand_size", None) if "queueLengthLimit" not in obj and "queue_length_limit" in obj: obj["queueLengthLimit"] = obj["queue_length_limit"] obj.pop("queue_length_limit", 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, V1QueuingConfiguration): 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, V1QueuingConfiguration): 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 V1QueuingConfiguration 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 { ("handSize" if serialize else "hand_size"): _to_legacy_value(getattr(self, "hand_size", None), serialize), ("queueLengthLimit" if serialize else "queue_length_limit"): _to_legacy_value(getattr(self, "queue_length_limit", None), serialize), ("queues" if serialize else "queues"): _to_legacy_value(getattr(self, "queues", 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 V1QueuingConfiguration 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({ "handSize": obj.get("handSize"), "queueLengthLimit": obj.get("queueLengthLimit"), "queues": obj.get("queues") }) return _obj