# 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
from typing import Any, ClassVar, Dict, List
from typing_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self

class AssetUploadMetadata(BaseModel):
    """
    Metadata for the asset being uploaded.
    """ # noqa: E501
    name_base64: Annotated[str, Field(min_length=1, strict=True)] = Field(description="The asset's name, encoded in Base64.  The maximum length of an asset name in Canva (unencoded) is 50 characters.  Base64 encoding allows names containing emojis and other special characters to be sent using HTTP headers. For example, \"My Awesome Upload 🚀\" Base64 encoded is `TXkgQXdlc29tZSBVcGxvYWQg8J+agA==`.")
    __properties: ClassVar[List[str]] = ["name_base64"]

    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 AssetUploadMetadata 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 AssetUploadMetadata from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "name_base64": obj.get("name_base64")
        })
        return _obj


