# coding: utf-8

"""
    VoiceOS

    VoiceOS API

    The version of the OpenAPI document: 0.8.0
    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, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing_extensions import Annotated
from voiceos.models.model4 import Model4
from typing import Optional, Set
from typing_extensions import Self

class PlayhtVoice(BaseModel):
    """
    PlayhtVoice
    """ # noqa: E501
    provider: Optional[StrictStr] = Field(default='playht', description="The voice provider.")
    model: Optional[Model4] = None
    speed: Optional[Union[Annotated[float, Field(le=5.0, strict=True, ge=0.0)], Annotated[int, Field(le=5, strict=True, ge=0)]]] = Field(default=1.0, description="Control how fast the generated audio should be. A number greater than 0 and less than or equal to 5.0")
    temperature: Optional[Union[Annotated[float, Field(le=2.0, strict=True, ge=0.0)], Annotated[int, Field(le=2, strict=True, ge=0)]]] = Field(default=None, description="A floating point number between 0, inclusive, and 2, inclusive. If equal to null or not provided, the model's default temperature will be used.")
    text_guidance: Optional[Union[Annotated[float, Field(le=2.0, strict=True, ge=1.0)], Annotated[int, Field(le=2, strict=True, ge=1)]]] = Field(default=None, description="A number between 1 and 2. This number influences how closely the generated speech adheres to the input text.")
    style_guidance: Optional[Union[Annotated[float, Field(le=30.0, strict=True, ge=1.0)], Annotated[int, Field(le=30, strict=True, ge=1)]]] = Field(default=None, description="A number between 1 and 30. Use lower numbers to to reduce how strong your chosen emotion will be. Higher numbers will create a very emotional performance.")
    __properties: ClassVar[List[str]] = ["provider", "model", "speed", "temperature", "text_guidance", "style_guidance"]

    @field_validator('provider')
    def provider_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in set(['playht']):
            raise ValueError("must be one of enum values ('playht')")
        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 PlayhtVoice 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 model
        if self.model:
            _dict['model'] = self.model.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "provider": obj.get("provider") if obj.get("provider") is not None else 'playht',
            "model": Model4.from_dict(obj["model"]) if obj.get("model") is not None else None,
            "speed": obj.get("speed") if obj.get("speed") is not None else 1.0,
            "temperature": obj.get("temperature"),
            "text_guidance": obj.get("text_guidance"),
            "style_guidance": obj.get("style_guidance")
        })
        return _obj


