# 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, 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 V1SuccessPolicyRule(BaseModel):
    """
    SuccessPolicyRule describes rule for declaring a Job as succeeded. Each rule must have at least one of the \"succeededIndexes\" or \"succeededCount\" specified.

    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
    succeeded_count: Optional[StrictInt] = Field(default=None, validation_alias=AliasChoices("succeededCount", "succeeded_count"), serialization_alias="succeededCount", description="succeededCount specifies the minimal required size of the actual set of the succeeded indexes for the Job. When succeededCount is used along with succeededIndexes, the check is constrained only to the set of indexes specified by succeededIndexes. For example, given that succeededIndexes is \"1-4\", succeededCount is \"3\", and completed indexes are \"1\", \"3\", and \"5\", the Job isn't declared as succeeded because only \"1\" and \"3\" indexes are considered in that rules. When this field is null, this doesn't default to any value and is never evaluated at any time. When specified it needs to be a positive integer.")
    succeeded_indexes: Optional[StrictStr] = Field(default=None, validation_alias=AliasChoices("succeededIndexes", "succeeded_indexes"), serialization_alias="succeededIndexes", description="succeededIndexes specifies the set of indexes which need to be contained in the actual set of the succeeded indexes for the Job. The list of indexes must be within 0 to \".spec.completions-1\" and must not contain duplicates. At least one element is required. The indexes are represented as intervals separated by commas. The intervals can be a decimal integer or a pair of decimal integers separated by a hyphen. The number are listed in represented by the first and last element of the series, separated by a hyphen. For example, if the completed indexes are 1, 3, 4, 5 and 7, they are represented as \"1,3-5,7\". When this field is null, this field doesn't default to any value and is never evaluated at any time.")
    openapi_types: ClassVar[Dict[str, str]] = {
        "succeeded_count": "int",
        "succeeded_indexes": "str"
    }

    attribute_map: ClassVar[Dict[str, str]] = {
        "succeeded_count": "succeededCount",
        "succeeded_indexes": "succeededIndexes"
    }
    __properties: ClassVar[List[str]] = ["succeededCount", "succeededIndexes"]

    @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 "succeededCount" not in obj and "succeeded_count" in obj:
            obj["succeededCount"] = obj["succeeded_count"]
        obj.pop("succeeded_count", None)
        if "succeededIndexes" not in obj and "succeeded_indexes" in obj:
            obj["succeededIndexes"] = obj["succeeded_indexes"]
        obj.pop("succeeded_indexes", 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, V1SuccessPolicyRule):
            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, V1SuccessPolicyRule):
            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 V1SuccessPolicyRule 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 {
            ("succeededCount" if serialize else "succeeded_count"): _to_legacy_value(getattr(self, "succeeded_count", None), serialize),
            ("succeededIndexes" if serialize else "succeeded_indexes"): _to_legacy_value(getattr(self, "succeeded_indexes", 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 V1SuccessPolicyRule 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({
            "succeededCount": obj.get("succeededCount"),
            "succeededIndexes": obj.get("succeededIndexes")
        })
        return _obj