# 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 ValidityTimeframe(BaseModel):
    """
    Set recurrent time periods when the earning rule is valid. For example, valid for 1 hour every other day.`start_date` **required** when including the `validity_timeframe`.
    """ # noqa: E501
    duration: Optional[StrictStr] = Field(default=None, description="Defines the amount of time an earning rule will be active in ISO 8601 format. For example, an earning rule with a `duration` of `PT1H` will be valid for a duration of one hour.")
    interval: Optional[StrictStr] = Field(default=None, description="Defines the intervening time between two time points in ISO 8601 format, expressed as a duration. For example, an earning rule with an `interval` of `P2D` will be valid every other day.")
    __properties: ClassVar[List[str]] = ["duration", "interval"]

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "duration": obj.get("duration"),
            "interval": obj.get("interval")
        })
        return _obj


