# coding: utf-8

"""
    Voucherify API

    Voucherify promotion engine REST API. Please see https://docs.voucherify.io/docs for more details.

    The version of the OpenAPI document: v2018-08-01
    Contact: support@voucherify.io
    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, Optional
from typing import Optional, Set
from typing_extensions import Self

class LoyaltyPendingPointsDetailsHolderLoyaltyTier(BaseModel):
    """
    Loyalty tier of the loyalty card holder at the moment when the transaction occurred. The loyalty tier is the tier in which the holder was at the moment pending points were created.
    """ # noqa: E501
    id: Optional[StrictStr] = Field(default=None, description="Unique identifier of the loyalty tier, assigned by Voucherify.")
    name: Optional[StrictStr] = Field(default=None, description="User-defined name of the loyalty tier.")
    __properties: ClassVar[List[str]] = ["id", "name"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )


    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of LoyaltyPendingPointsDetailsHolderLoyaltyTier from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(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,
        )
        # set to None if id (nullable) is None
        # and model_fields_set contains the field
        if self.id is None and "id" in self.model_fields_set:
            _dict['id'] = None

        # set to None if name (nullable) is None
        # and model_fields_set contains the field
        if self.name is None and "name" in self.model_fields_set:
            _dict['name'] = None

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of LoyaltyPendingPointsDetailsHolderLoyaltyTier from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "name": obj.get("name")
        })
        return _obj


