DatasourceFlowsDetailsDatasetDetailsInner

pydantic model openapi_client.models.datasource_flows_details_dataset_details_inner.DatasourceFlowsDetailsDatasetDetailsInner

DatasourceFlowsDetailsDatasetDetailsInner

Fields:

• data_category (str | None)

• data_category_config (openapi_client.models.datasource_flows_details_dataset_details_inner_data_category_config.DatasourceFlowsDetailsDatasetDetailsInnerDataCategoryConfig | None)

• data_classification (List[str] | None)

• dataset_id (str | None)

• dataset_name (str | None)

• dataset_schema (List[openapi_client.models.dataset_schema.DatasetSchema] | None)

• description (str | None)

• dist_key (str | None)

• dist_type (str | None)

• domain (str | None)

• file_delimiter (str | None)

• file_type (str | None)

• keywords (List[str] | None)

• schema_name (str | None)

• size (int | None)

• skip_file_header (bool | None)

• skip_lz_process (bool | None)

• sort_keys (List[str] | None)

• sort_type (str | None)

• source_table_list (List[str] | None)

• source_url (str | None)

• spatial_crs (str | None)

• table_name (str | None)

• target_location (str | None)

field schema_name: Optional[StrictStr] = None (alias 'SchemaName')

Source schema name for the table.

field size: Optional[StrictInt] = None (alias 'Size')

Estimated size of the source table (GB).

field table_name: Optional[StrictStr] = None (alias 'TableName')

Source table name.

field dataset_name: Optional[StrictStr] = None (alias 'DatasetName')

Amorphic dataset name to create or use.

field description: Optional[StrictStr] = None (alias 'Description')

Free-text description of the dataset.

field domain: Optional[StrictStr] = None (alias 'Domain')

Domain that owns the dataset.

field keywords: Optional[List[StrictStr]] = None (alias 'Keywords')

Keywords attached to the dataset.

field skip_lz_process: Optional[StrictBool] = None (alias 'SkipLZProcess')

Whether to skip the landing-zone processing step.

field skip_file_header: Optional[StrictBool] = None (alias 'SkipFileHeader')

Whether to skip the file header when reading delivered files.

field file_type: Optional[StrictStr] = None (alias 'FileType')

File type for the dataset when applicable.

field file_delimiter: Optional[StrictStr] = None (alias 'FileDelimiter')

Field delimiter for delimited file types.

field data_classification: Optional[List[StrictStr]] = None (alias 'DataClassification')

Data classification labels for the dataset.

field dataset_schema: Optional[List[DatasetSchema]] = None (alias 'DatasetSchema')

Column schema for the dataset. Each entry has name, type, and optional description.

field dataset_id: Optional[StrictStr] = None (alias 'DatasetId')

Existing Amorphic dataset ID when CreateDataset is false.

field target_location: Optional[StrictStr] = None (alias 'TargetLocation')

Dataset target location.

field source_table_list: Optional[List[StrictStr]] = None (alias 'SourceTableList')

Fully qualified source tables mapped to this dataset entry.

field sort_keys: Optional[List[StrictStr]] = None (alias 'SortKeys')

Redshift sort keys when the target is Redshift.

field dist_key: Optional[StrictStr] = None (alias 'DistKey')

Redshift distribution key when the target is Redshift.

field sort_type: Optional[StrictStr] = None (alias 'SortType')

Redshift sort style when the target is Redshift.

field dist_type: Optional[StrictStr] = None (alias 'DistType')

Redshift distribution style when the target is Redshift.

field spatial_crs: Optional[StrictStr] = None (alias 'SpatialCRS')

Spatial coordinate reference system for ArcGIS datasets.

field source_url: Optional[StrictStr] = None (alias 'SourceURL')

Source URL for ArcGIS layer data.

field data_category: Optional[StrictStr] = None (alias 'DataCategory')

Data category for the dataset when applicable.

field data_category_config: Optional[DatasourceFlowsDetailsDatasetDetailsInnerDataCategoryConfig] = None (alias 'DataCategoryConfig')

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 DatasourceFlowsDetailsDatasetDetailsInner 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 DatasourceFlowsDetailsDatasetDetailsInner from a dict

Return type:

Optional[Self]