# 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.source_type_enum import SourceTypeEnum


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

    categories: Optional[List[StrictStr]] = None
    content_uri: Annotated[StrictStr, Field(alias="contentUri")]
    label: Optional[StrictStr] = None
    source: SourceTypeEnum
    __properties: ClassVar[List[str]] = ["categories", "contentUri", "label", "source"]

    @field_validator("categories")
    def categories_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        for i in value:
            if i not in set(["music", "movie", "tv", "hdmi", "app"]):
                raise ValueError(
                    "each list item must be one of ('music', 'movie', 'tv', 'hdmi', 'app')"
                )
        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 ContentItem 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 source
        if self.source:
            _dict["source"] = self.source.to_dict()
        # set to None if label (nullable) is None
        # and model_fields_set contains the field
        if self.label is None and "label" in self.model_fields_set:
            _dict["label"] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "categories": obj.get("categories"),
            "contentUri": obj.get("contentUri"),
            "label": obj.get("label"),
            "source": SourceTypeEnum.from_dict(obj["source"])
            if obj.get("source") is not None
            else None,
        })
        return _obj
