# coding: utf-8

"""
Mozart platform API

API for interacting with the Mozart platform.

The version of the OpenAPI document: 0.2.0
Contact: support@bang-olufsen.dk
Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.
"""  # noqa: E501

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing_extensions import Annotated, Self

from mozart_api.models.speaker_link_member_status import SpeakerLinkMemberStatus
from mozart_api.models.speaker_link_role import SpeakerLinkRole


class SpeakerLinkStatus(BaseModel):
    """
    SpeakerLinkStatus
    """  # noqa: E501

    role_info: Annotated[SpeakerLinkRole, Field(alias="roleInfo")]
    speakers: List[SpeakerLinkMemberStatus]
    type: StrictStr
    __properties: ClassVar[List[str]] = ["roleInfo", "speakers", "type"]

    @field_validator("type")
    def type_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(["standalone", "stereo", "surround"]):
            raise ValueError(
                "must be one of enum values ('standalone', 'stereo', 'surround')"
            )
        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 SpeakerLinkStatus 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,
        )
        # override the default output from pydantic by calling `to_dict()` of role_info
        if self.role_info:
            _dict["roleInfo"] = self.role_info.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in speakers (list)
        _items = []
        if self.speakers:
            for _item_speakers in self.speakers:
                if _item_speakers:
                    _items.append(_item_speakers.to_dict())
            _dict["speakers"] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "roleInfo": SpeakerLinkRole.from_dict(obj["roleInfo"])
            if obj.get("roleInfo") is not None
            else None,
            "speakers": [
                SpeakerLinkMemberStatus.from_dict(_item) for _item in obj["speakers"]
            ]
            if obj.get("speakers") is not None
            else None,
            "type": obj.get("type"),
        })
        return _obj
