# coding: utf-8

"""
    Identity Security Cloud V3 API

    Use these APIs to interact with the Identity Security Cloud platform to achieve repeatable, automated processes with greater scalability. We encourage you to join the SailPoint Developer Community forum at https://developer.sailpoint.com/discuss to connect with other developers using our APIs.

    The version of the OpenAPI document: 3.0.0
    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, StrictInt, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class ScheduleDays(BaseModel):
    """
    Specifies which day(s) a schedule is active for. This is required for all schedule types. The \"values\" field holds different data depending on the type of schedule: * WEEKLY: days of the week (1-7) * MONTHLY: days of the month (1-31, L, L-1...) * ANNUALLY: if the \"months\" field is also set: days of the month (1-31, L, L-1...); otherwise: ISO-8601 dates without year (\"--12-31\") * CALENDAR: ISO-8601 dates (\"2020-12-31\")  Note that CALENDAR only supports the LIST type, and ANNUALLY does not support the RANGE type when provided with ISO-8601 dates without year.  Examples:  On Sundays: * type LIST * values \"1\"  The second to last day of the month: * type LIST * values \"L-1\"  From the 20th to the last day of the month: * type RANGE * values \"20\", \"L\"  Every March 2nd: * type LIST * values \"--03-02\"  On March 2nd, 2021: * type: LIST * values \"2021-03-02\" 
    """ # noqa: E501
    type: StrictStr = Field(description="Enum type to specify days value")
    values: List[StrictStr] = Field(description="Values of the days based on the enum type mentioned above")
    interval: Optional[StrictInt] = Field(default=None, description="Interval between the cert generations")
    __properties: ClassVar[List[str]] = ["type", "values", "interval"]

    @field_validator('type')
    def type_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(['LIST', 'RANGE']):
            raise ValueError("must be one of enum values ('LIST', 'RANGE')")
        return value

    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 ScheduleDays 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,
        )
        return _dict

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

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

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


