DatasetData

pydantic model openapi_client.models.dataset_data.DatasetData

Response for get_dataset_data (normal, non-spatial mode). Contains paginated row data with column headers and pagination metadata.

Fields:

• columns (List[str] | None)

• count (int | None)

• data (List[Dict[str, Any]] | None)

• next_start (openapi_client.models.dataset_data_next_start.DatasetDataNextStart | None)

• total (int | None)

field columns: Optional[List[StrictStr]] = None

Column names from the query result headers.

field data: Optional[List[Dict[str, Any]]] = None

Row data. Each item is an object mapping column name to its value for that row.

field total: Optional[StrictInt] = None

Total number of matching rows across all pages.

field count: Optional[StrictInt] = None

Number of rows returned in this page.

field next_start: Optional[DatasetDataNextStart] = None (alias 'nextStart')

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 DatasetData 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 DatasetData from a dict

Return type:

Optional[Self]