# coding: utf-8

"""
    MYTH AI Public API

             ## MYTH-AI API          Programmatic access to MYTH AI's generative design capabilities.          ### Client Libraries          **Python:** `pip install myth-ai`          **TypeScript / Node.js:** `npm install myth-ai`         

    The version of the OpenAPI document: 1.0.0
    Contact: api@myth-design.com
    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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from myth_design_api.models.repeat_mode import RepeatMode
from typing import Optional, Set
from typing_extensions import Self

class PromptToImageRequest(BaseModel):
    """
    Request for prompt-to-image generation with URL support.
    """ # noqa: E501
    url: StrictStr = Field(description="Image URL (S3 signed URL or external URL)")
    prompt: StrictStr
    negative_prompt: Optional[StrictStr] = None
    scale: Optional[float] = 1
    repeat_mode: Optional[RepeatMode] = None
    width: Optional[StrictInt] = 1024
    height: Optional[StrictInt] = 1024
    sharpness: Optional[float] = 5.0
    additional_properties: Dict[str, Any] = {}
    __properties: ClassVar[List[str]] = ["url", "prompt", "negative_prompt", "scale", "repeat_mode", "width", "height", "sharpness"]

    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 PromptToImageRequest 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.
        * Fields in `self.additional_properties` are added to the output dict.
        """
        excluded_fields: Set[str] = set([
            "additional_properties",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # puts key-value pairs in additional_properties in the top level
        if self.additional_properties is not None:
            for _key, _value in self.additional_properties.items():
                _dict[_key] = _value

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "url": obj.get("url"),
            "prompt": obj.get("prompt"),
            "negative_prompt": obj.get("negative_prompt"),
            "scale": obj.get("scale") if obj.get("scale") is not None else 1,
            "repeat_mode": obj.get("repeat_mode"),
            "width": obj.get("width") if obj.get("width") is not None else 1024,
            "height": obj.get("height") if obj.get("height") is not None else 1024,
            "sharpness": obj.get("sharpness") if obj.get("sharpness") is not None else 5.0
        })
        # store additional fields in additional_properties
        for _key in obj.keys():
            if _key not in cls.__properties:
                _obj.additional_properties[_key] = obj.get(_key)

        return _obj


