# coding: utf-8

"""
    Canva Connect API

    API for building integrations with Canva via a REST api

    The version of the OpenAPI document: latest
    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
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self

class CreateDesignAutofillJobRequest(BaseModel):
    """
    CreateDesignAutofillJobRequest
    """ # noqa: E501
    brand_template_id: StrictStr = Field(description="ID of the input brand template.")
    title: Optional[Annotated[str, Field(min_length=1, strict=True, max_length=255)]] = Field(default=None, description="Title to use for the autofilled design. Must be less than 256 characters.  If no design title is provided, the autofilled design will have the same title as the brand template.")
    data: Dict[str, Any] = Field(description="Data object containing the data fields and values to autofill.")
    __properties: ClassVar[List[str]] = ["brand_template_id", "title", "data"]

    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 CreateDesignAutofillJobRequest 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,
        )
        return _dict

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

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

        _obj = cls.model_validate({
            "brand_template_id": obj.get("brand_template_id"),
            "title": obj.get("title"),
            "data": obj.get("data")
        })
        return _obj


