# 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, StrictBool, StrictStr
from typing_extensions import Annotated, Self

from mozart_api.models.source_type_enum import SourceTypeEnum


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

    id: Optional[StrictStr] = None
    is_enabled: Annotated[
        Optional[StrictBool],
        Field(
            description="some sources require an explicit activation or accept of terms before being enabled",
            alias="isEnabled",
        ),
    ] = None
    is_multiroom_available: Annotated[
        Optional[StrictBool], Field(alias="isMultiroomAvailable")
    ] = None
    is_playable: Annotated[Optional[StrictBool], Field(alias="isPlayable")] = None
    is_seekable: Annotated[Optional[StrictBool], Field(alias="isSeekable")] = None
    name: Optional[StrictStr] = None
    type: Optional[SourceTypeEnum] = None
    __properties: ClassVar[List[str]] = [
        "id",
        "isEnabled",
        "isMultiroomAvailable",
        "isPlayable",
        "isSeekable",
        "name",
        "type",
    ]

    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 Source 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 type
        if self.type:
            _dict["type"] = self.type.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of Source 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"),
            "isEnabled": obj.get("isEnabled"),
            "isMultiroomAvailable": obj.get("isMultiroomAvailable"),
            "isPlayable": obj.get("isPlayable"),
            "isSeekable": obj.get("isSeekable"),
            "name": obj.get("name"),
            "type": SourceTypeEnum.from_dict(obj["type"])
            if obj.get("type") is not None
            else None,
        })
        return _obj