DatasourceFlowsDetailsDatasetDetailsInnerDataCategoryConfig

pydantic model openapi_client.models.datasource_flows_details_dataset_details_inner_data_category_config.DatasourceFlowsDetailsDatasetDetailsInnerDataCategoryConfig

Extra category settings such as spatial column mapping.

Fields:

• crs_columns (List[str] | None)

• spatial_columns (List[str] | None)

field spatial_columns: Optional[List[StrictStr]] = None (alias 'SpatialColumns')

Columns that store spatial geometry.

field crs_columns: Optional[List[StrictStr]] = None (alias 'CRSColumns')

Columns that store CRS values.

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 DatasourceFlowsDetailsDatasetDetailsInnerDataCategoryConfig 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 DatasourceFlowsDetailsDatasetDetailsInnerDataCategoryConfig from a dict

Return type:

Optional[Self]