# 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 V1DeviceConstraint(BaseModel):
    """
    DeviceConstraint must have exactly one field set besides Requests.

    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
    distinct_attribute: Optional[StrictStr] = Field(default=None, validation_alias=AliasChoices("distinctAttribute", "distinct_attribute"), serialization_alias="distinctAttribute", description="DistinctAttribute requires that all devices in question have this attribute and that its type and value are unique across those devices.  When the DRAListTypeAttributes feature gate is enabled, comparison uses set semantics (i.e., element order and duplicates are ignored): list-valued attributes must be pairwise disjoint across devices. Scalar values are treated as singleton sets for backward compatibility.  This acts as the inverse of MatchAttribute.  This constraint is used to avoid allocating multiple requests to the same device by ensuring attribute-level differentiation.  This is useful for scenarios where resource requests must be fulfilled by separate physical devices. For example, a container requests two network interfaces that must be allocated from two different physical NICs.")
    match_attribute: Optional[StrictStr] = Field(default=None, validation_alias=AliasChoices("matchAttribute", "match_attribute"), serialization_alias="matchAttribute", description="MatchAttribute requires that all devices in question have this attribute and that its type and value are the same across those devices.  For example, if you specified \"dra.example.com/numa\" (a hypothetical example!), then only devices in the same NUMA node will be chosen. A device which does not have that attribute will not be chosen. All devices should use a value of the same type for this attribute because that is part of its specification, but if one device doesn't, then it also will not be chosen.  When the DRAListTypeAttributes feature gate is enabled, comparison uses set semantics(i.e., element order and duplicates are ignored): list-valued attributes match when the intersection across all devices is non-empty. Scalar values are treated as single-element lists for backward compatibility.  Must include the domain qualifier.")
    requests: Optional[List[StrictStr]] = Field(default=None, description="Requests is a list of the one or more requests in this claim which must co-satisfy this constraint. If a request is fulfilled by multiple devices, then all of the devices must satisfy the constraint. If this is not specified, this constraint applies to all requests in this claim.  References to subrequests must include the name of the main request and may include the subrequest using the format <main request>[/<subrequest>]. If just the main request is given, the constraint applies to all subrequests.")
    openapi_types: ClassVar[Dict[str, str]] = {
        "distinct_attribute": "str",
        "match_attribute": "str",
        "requests": "List[str]"
    }

    attribute_map: ClassVar[Dict[str, str]] = {
        "distinct_attribute": "distinctAttribute",
        "match_attribute": "matchAttribute",
        "requests": "requests"
    }
    __properties: ClassVar[List[str]] = ["distinctAttribute", "matchAttribute", "requests"]

    @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 "distinctAttribute" not in obj and "distinct_attribute" in obj:
            obj["distinctAttribute"] = obj["distinct_attribute"]
        obj.pop("distinct_attribute", None)
        if "matchAttribute" not in obj and "match_attribute" in obj:
            obj["matchAttribute"] = obj["match_attribute"]
        obj.pop("match_attribute", 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, V1DeviceConstraint):
            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, V1DeviceConstraint):
            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 V1DeviceConstraint 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 {
            ("distinctAttribute" if serialize else "distinct_attribute"): _to_legacy_value(getattr(self, "distinct_attribute", None), serialize),
            ("matchAttribute" if serialize else "match_attribute"): _to_legacy_value(getattr(self, "match_attribute", None), serialize),
            ("requests" if serialize else "requests"): _to_legacy_value(getattr(self, "requests", 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 V1DeviceConstraint 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({
            "distinctAttribute": obj.get("distinctAttribute"),
            "matchAttribute": obj.get("matchAttribute"),
            "requests": obj.get("requests")
        })
        return _obj