FileAddDelete

class openapi_client.models.file_add_delete.FileAddDelete(**data)

Bases: BaseModel

operation: StrictStr

files: List[StrictStr]

file_level_tags: Optional[List[FileAddDeleteFileLevelTagsInner]]

truncate_dataset: Optional[StrictBool]

tags: Optional[List[StrictStr]]

restore_from_storage: Optional[StrictStr]

file_copy_type: Optional[StrictStr]

restore_exp_days: Optional[StrictInt]

retrieval_option: Optional[StrictStr]

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of FileAddDelete from a JSON string

Return type:

Optional[Self]

to_dict()

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.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of FileAddDelete from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'file_copy_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='FileCopyType', alias_priority=2), 'file_level_tags': FieldInfo(annotation=Union[List[FileAddDeleteFileLevelTagsInner], NoneType], required=False, alias='FileLevelTags', alias_priority=2), 'files': FieldInfo(annotation=List[Annotated[str, Strict(strict=True)]], required=True, alias='Files', alias_priority=2), 'operation': FieldInfo(annotation=str, required=True, alias='Operation', alias_priority=2, metadata=[Strict(strict=True)]), 'restore_exp_days': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, alias='RestoreExpDays', alias_priority=2), 'restore_from_storage': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='RestoreFromStorage', alias_priority=2), 'retrieval_option': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='RetrievalOption', alias_priority=2), 'tags': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='Tags', alias_priority=2), 'truncate_dataset': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='TruncateDataset', alias_priority=2)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self (BaseModel) – The BaseModel instance.

• __context (Any) – The context.

Return type:

None