# 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.listening_mode_features import ListeningModeFeatures
from mozart_api.models.listening_mode_trigger import ListeningModeTrigger


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

    client_ctx: Annotated[
        Optional[Annotated[str, Field(strict=True, max_length=4096)]],
        Field(
            description="An optional generic string property supplied from the client. If provided, it will be stored without changes. If not supplied, any current clientCtx will remain unchanged. ",
            alias="clientCtx",
        ),
    ] = None
    features: Optional[ListeningModeFeatures] = None
    id: Optional[Annotated[int, Field(strict=True, ge=0)]] = None
    name: Annotated[Optional[StrictStr], Field(description="Friendly name")] = None
    origin: Annotated[
        Optional[StrictStr],
        Field(description="User created, default or an edited default listening mode"),
    ] = None
    role: Annotated[
        Optional[StrictStr], Field(description="Role a listening mode applies to")
    ] = None
    triggers: Optional[List[ListeningModeTrigger]] = None
    __properties: ClassVar[List[str]] = [
        "clientCtx",
        "features",
        "id",
        "name",
        "origin",
        "role",
        "triggers",
    ]

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

        if value not in set(["user", "default", "edited"]):
            raise ValueError("must be one of enum values ('user', 'default', 'edited')")
        return value

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

        if value not in set(["standalone", "multichannel", "all"]):
            raise ValueError(
                "must be one of enum values ('standalone', 'multichannel', 'all')"
            )
        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 ListeningMode 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 features
        if self.features:
            _dict["features"] = self.features.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in triggers (list)
        _items = []
        if self.triggers:
            for _item_triggers in self.triggers:
                if _item_triggers:
                    _items.append(_item_triggers.to_dict())
            _dict["triggers"] = _items
        # set to None if client_ctx (nullable) is None
        # and model_fields_set contains the field
        if self.client_ctx is None and "client_ctx" in self.model_fields_set:
            _dict["clientCtx"] = None

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

        return _dict

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

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

        _obj = cls.model_validate({
            "clientCtx": obj.get("clientCtx"),
            "features": ListeningModeFeatures.from_dict(obj["features"])
            if obj.get("features") is not None
            else None,
            "id": obj.get("id"),
            "name": obj.get("name"),
            "origin": obj.get("origin"),
            "role": obj.get("role"),
            "triggers": [
                ListeningModeTrigger.from_dict(_item) for _item in obj["triggers"]
            ]
            if obj.get("triggers") is not None
            else None,
        })
        return _obj
