Source code for pydelfini.delfini_core.models.item_content
from typing import Any
from typing import Dict
from typing import Type
from typing import TypeVar
from typing import Union
from attrs import define as _attrs_define
from ..models.item_content_checksum import ItemContentChecksum
from ..types import UNSET
from ..types import Unset
T = TypeVar("T", bound="ItemContent")
[docs]
@_attrs_define
class ItemContent:
"""If uploading a small file, the contents can be provided.
Attributes:
data (str): File content, either plain text or base-64 encoded.
checksum (Union[Unset, ItemContentChecksum]):
is_base_64_encoded (Union[Unset, bool]): True if the data has been base-64 encoded. Default: False.
"""
data: str
checksum: Union[Unset, "ItemContentChecksum"] = UNSET
is_base_64_encoded: Union[Unset, bool] = False
[docs]
def to_dict(self) -> Dict[str, Any]:
"""Convert to a dict"""
data = self.data
checksum: Union[Unset, Dict[str, Any]] = UNSET
if not isinstance(self.checksum, Unset):
checksum = self.checksum.to_dict()
is_base_64_encoded = self.is_base_64_encoded
field_dict: Dict[str, Any] = {}
field_dict.update(
{
"data": data,
}
)
if checksum is not UNSET:
field_dict["checksum"] = checksum
if is_base_64_encoded is not UNSET:
field_dict["isBase64Encoded"] = is_base_64_encoded
return field_dict
[docs]
@classmethod
def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
"""Create an instance of :py:class:`ItemContent` from a dict"""
d = src_dict.copy()
data = d.pop("data")
_checksum = d.pop("checksum", UNSET)
checksum: Union[Unset, ItemContentChecksum]
if isinstance(_checksum, Unset):
checksum = UNSET
else:
checksum = ItemContentChecksum.from_dict(_checksum)
is_base_64_encoded = d.pop("isBase64Encoded", UNSET)
item_content = cls(
data=data,
checksum=checksum,
is_base_64_encoded=is_base_64_encoded,
)
return item_content