Skip to main content
Version: 0.17.19

InferredAssetFilePathDataConnector

class great_expectations.datasource.data_connector.InferredAssetFilePathDataConnector(name: str, datasource_name: str, execution_engine: Optional[great_expectations.execution_engine.execution_engine.ExecutionEngine] = None, default_regex: Optional[dict] = None, sorters: Optional[list] = None, batch_spec_passthrough: Optional[dict] = None, id: Optional[str] = None)#

A base class for Inferred Asset Data Connectors designed to operate on file paths and implicitly determine Data Asset names through regular expressions.

Note that InferredAssetFilePathDataConnector is not meant to be used on its own, but extended.

Parameters:

  • name – The name of the Data Connector.

  • datasource_name – The name of this Data Connector’s Datasource.

  • execution_engine – The Execution Engine object to used by this Data Connector to read the data.

  • default_regex – A regex configuration for filtering data references. The dict can include a regex pattern and a list of group_names for capture groups.

  • sorters – A list of sorters for sorting data references.

  • batch_spec_passthrough – Dictionary with keys that will be added directly to the batch spec.

  • id – The unique identifier for this Data Connector used when running in cloud mode.

get_available_data_asset_names() → List[str]#

Return the list of asset names known by this DataConnector

Returns:

A list of available names