# 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 kubernetes.aio.client.models.v1_label_selector import V1LabelSelector
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 V1PodAffinityTerm(BaseModel):
    """
    Defines a set of pods (namely those matching the labelSelector relative to the given namespace(s)) that this pod should be co-located (affinity) or not co-located (anti-affinity) with, where co-located is defined as running on a node whose value of the label with key <topologyKey> matches that of any node on which a pod of the set of pods is running

    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
    label_selector: Optional[V1LabelSelector] = Field(default=None, validation_alias=AliasChoices("labelSelector", "label_selector"), serialization_alias="labelSelector")
    match_label_keys: Optional[List[StrictStr]] = Field(default=None, validation_alias=AliasChoices("matchLabelKeys", "match_label_keys"), serialization_alias="matchLabelKeys", description="MatchLabelKeys is a set of pod label keys to select which pods will be taken into consideration. The keys are used to lookup values from the incoming pod labels, those key-value labels are merged with `labelSelector` as `key in (value)` to select the group of existing pods which pods will be taken into consideration for the incoming pod's pod (anti) affinity. Keys that don't exist in the incoming pod labels will be ignored. The default value is empty. The same key is forbidden to exist in both matchLabelKeys and labelSelector. Also, matchLabelKeys cannot be set when labelSelector isn't set.")
    mismatch_label_keys: Optional[List[StrictStr]] = Field(default=None, validation_alias=AliasChoices("mismatchLabelKeys", "mismatch_label_keys"), serialization_alias="mismatchLabelKeys", description="MismatchLabelKeys is a set of pod label keys to select which pods will be taken into consideration. The keys are used to lookup values from the incoming pod labels, those key-value labels are merged with `labelSelector` as `key notin (value)` to select the group of existing pods which pods will be taken into consideration for the incoming pod's pod (anti) affinity. Keys that don't exist in the incoming pod labels will be ignored. The default value is empty. The same key is forbidden to exist in both mismatchLabelKeys and labelSelector. Also, mismatchLabelKeys cannot be set when labelSelector isn't set.")
    namespace_selector: Optional[V1LabelSelector] = Field(default=None, validation_alias=AliasChoices("namespaceSelector", "namespace_selector"), serialization_alias="namespaceSelector")
    namespaces: Optional[List[StrictStr]] = Field(default=None, description="namespaces specifies a static list of namespace names that the term applies to. The term is applied to the union of the namespaces listed in this field and the ones selected by namespaceSelector. null or empty namespaces list and null namespaceSelector means \"this pod's namespace\".")
    topology_key: StrictStr = Field(validation_alias=AliasChoices("topologyKey", "topology_key"), serialization_alias="topologyKey", description="This pod should be co-located (affinity) or not co-located (anti-affinity) with the pods matching the labelSelector in the specified namespaces, where co-located is defined as running on a node whose value of the label with key topologyKey matches that of any node on which any of the selected pods is running. Empty topologyKey is not allowed.")
    openapi_types: ClassVar[Dict[str, str]] = {
        "label_selector": "V1LabelSelector",
        "match_label_keys": "List[str]",
        "mismatch_label_keys": "List[str]",
        "namespace_selector": "V1LabelSelector",
        "namespaces": "List[str]",
        "topology_key": "str"
    }

    attribute_map: ClassVar[Dict[str, str]] = {
        "label_selector": "labelSelector",
        "match_label_keys": "matchLabelKeys",
        "mismatch_label_keys": "mismatchLabelKeys",
        "namespace_selector": "namespaceSelector",
        "namespaces": "namespaces",
        "topology_key": "topologyKey"
    }
    __properties: ClassVar[List[str]] = ["labelSelector", "matchLabelKeys", "mismatchLabelKeys", "namespaceSelector", "namespaces", "topologyKey"]

    @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 "labelSelector" not in obj and "label_selector" in obj:
            obj["labelSelector"] = obj["label_selector"]
        obj.pop("label_selector", None)
        if "matchLabelKeys" not in obj and "match_label_keys" in obj:
            obj["matchLabelKeys"] = obj["match_label_keys"]
        obj.pop("match_label_keys", None)
        if "mismatchLabelKeys" not in obj and "mismatch_label_keys" in obj:
            obj["mismatchLabelKeys"] = obj["mismatch_label_keys"]
        obj.pop("mismatch_label_keys", None)
        if "namespaceSelector" not in obj and "namespace_selector" in obj:
            obj["namespaceSelector"] = obj["namespace_selector"]
        obj.pop("namespace_selector", None)
        if "topologyKey" not in obj and "topology_key" in obj:
            obj["topologyKey"] = obj["topology_key"]
        obj.pop("topology_key", 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, V1PodAffinityTerm):
            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, V1PodAffinityTerm):
            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 V1PodAffinityTerm 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 {
            ("labelSelector" if serialize else "label_selector"): _to_legacy_value(getattr(self, "label_selector", None), serialize),
            ("matchLabelKeys" if serialize else "match_label_keys"): _to_legacy_value(getattr(self, "match_label_keys", None), serialize),
            ("mismatchLabelKeys" if serialize else "mismatch_label_keys"): _to_legacy_value(getattr(self, "mismatch_label_keys", None), serialize),
            ("namespaceSelector" if serialize else "namespace_selector"): _to_legacy_value(getattr(self, "namespace_selector", None), serialize),
            ("namespaces" if serialize else "namespaces"): _to_legacy_value(getattr(self, "namespaces", None), serialize),
            ("topologyKey" if serialize else "topology_key"): _to_legacy_value(getattr(self, "topology_key", 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 label_selector
        if self.label_selector:
            _dict['labelSelector'] = _to_openapi_value(self.label_selector)
        # override the default output from pydantic by calling `to_dict()` of namespace_selector
        if self.namespace_selector:
            _dict['namespaceSelector'] = _to_openapi_value(self.namespace_selector)
        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 V1PodAffinityTerm 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({
            "labelSelector": V1LabelSelector.from_dict(obj["labelSelector"]) if obj.get("labelSelector") is not None else None,
            "matchLabelKeys": obj.get("matchLabelKeys"),
            "mismatchLabelKeys": obj.get("mismatchLabelKeys"),
            "namespaceSelector": V1LabelSelector.from_dict(obj["namespaceSelector"]) if obj.get("namespaceSelector") is not None else None,
            "namespaces": obj.get("namespaces"),
            "topologyKey": obj.get("topologyKey")
        })
        return _obj