# coding: utf-8

"""
    Cyberwave API

    Cyberwave platform REST API. Use 'Bearer YOUR_TOKEN' for authentication.

    The version of the OpenAPI document: 1.0.0
    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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from cyberwave.rest.models.image_bytes1 import ImageBytes1
from typing import Optional, Set
from typing_extensions import Self

class CreateAssetFromPromptOrImageRequestSchema(BaseModel):
    """
    CreateAssetFromPromptOrImageRequestSchema
    """ # noqa: E501
    asset_name: StrictStr
    prompt: Optional[StrictStr] = None
    image_url: Optional[StrictStr] = None
    image_bytes: Optional[ImageBytes1] = None
    description: Optional[StrictStr] = None
    workspace_uuid: Optional[StrictStr] = None
    visibility: Optional[StrictStr] = 'private'
    __properties: ClassVar[List[str]] = ["asset_name", "prompt", "image_url", "image_bytes", "description", "workspace_uuid", "visibility"]

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

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

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

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "asset_name": obj.get("asset_name"),
            "prompt": obj.get("prompt"),
            "image_url": obj.get("image_url"),
            "image_bytes": ImageBytes1.from_dict(obj["image_bytes"]) if obj.get("image_bytes") is not None else None,
            "description": obj.get("description"),
            "workspace_uuid": obj.get("workspace_uuid"),
            "visibility": obj.get("visibility") if obj.get("visibility") is not None else 'private'
        })
        return _obj


