DatasetFiles

pydantic model openapi_client.models.dataset_files.DatasetFiles

Paginated dataset file list for list_dataset_files. Use next_available with limit/offset to page; there is no nextToken.

Fields:

• count (int | None)

• files (List[openapi_client.models.dataset_files_files_inner.DatasetFilesFilesInner] | None)

• next_available (str | None)

• total_count (int | None)

field files: Optional[List[DatasetFilesFilesInner]] = None

File metadata items for the current page

field next_available: Optional[StrictStr] = None

“yes” if more matching items remain after this page; “no” on the last page. Prefer this over inferring from count alone.

field count: Optional[StrictInt] = None

Number of files returned in this page (length of files)

field total_count: Optional[StrictInt] = None

Total matching files for the query (global), unless storage filter is applied — then scoped to the filtered current page.

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 DatasetFiles 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 DatasetFiles from a dict

Return type:

Optional[Self]