abacusai.application_connector

Module Contents

Classes

ApplicationConnector

A connector to an external service

class abacusai.application_connector.ApplicationConnector(client, applicationConnectorId=None, service=None, name=None, createdAt=None, status=None, auth=None)

Bases: abacusai.return_class.AbstractApiClass

A connector to an external service

Parameters:
  • client (ApiClient) – An authenticated API Client instance

  • applicationConnectorId (str) – The unique ID for the connection.

  • service (str) – The service this connection connects to

  • name (str) – A user-friendly name for the service

  • createdAt (str) – When the API key was created

  • status (str) – The status of the Application Connector

  • auth (dict) – Non-secret connection information for this connector

__repr__()

Return repr(self).

to_dict()

Get a dict representation of the parameters in this class

Returns:

The dict value representation of the class parameters

Return type:

dict

create_feature_group_from_git(branch_name, table_name, function_name, module_name, python_root=None, input_feature_groups=None, description=None, cpu_size=None, memory=None, package_requirements=None)

Creates a new feature group from a ZIP file.

Parameters:
  • branch_name (str) – Name of the branch in the git repository to be used for training.

  • table_name (str) – The unique name to be given to the feature group.

  • function_name (str) – Name of the function found in the module that will be executed (on the optional inputs) to materialize this feature group.

  • module_name (str) – Path to the file with the feature group function.

  • python_root (str) – Path from the top level of the git repository to the directory containing the Python source code. If not provided, the default is the root of the git repository.

  • input_feature_groups (list) – List of feature groups that are supplied to the function as parameters. Each of the parameters are materialized Dataframes (same type as the functions return value).

  • description (str) – The description about the feature group.

  • cpu_size (str) – Size of the cpu for the feature group function

  • memory (int) – Memory (in GB) for the feature group function

  • package_requirements (dict) – Json with key value pairs corresponding to package: version for each dependency

Returns:

The created feature group

Return type:

FeatureGroup

rename(name)

Renames an Application Connector

Parameters:

name (str) – A new name for the application connector

delete()

Delete a application connector.

Parameters:

application_connector_id (str) – The unique identifier for the application connector.

list_objects()

Lists querable objects in the application connector.

Parameters:

application_connector_id (str) – The unique identifier for the application connector.

verify()

Checks to see if Abacus.AI can access the Application.

Parameters:

application_connector_id (str) – The unique identifier for the application connector.