navigate.model.features.feature_container.load_features

navigate.model.features.feature_container.load_features(model, feature_list)

Load and organize a list of feature modules into a child-sibling tree structure.

This function takes a list of feature modules and organizes them into a child-sibling tree structure, creating SignalNodes and DataNodes for each feature module. It also handles shared variables and cleanup functions for the nodes.

Parameters:

modelobject

The model or system to which the features are applied.

feature_listlist

A list of dictionaries or tuples representing the feature modules and their configurations.

Returns:

SignalContainer

A container containing the root of the SignalNode tree and a cleanup list for signal nodes.

DataContainer

A container containing the root of the DataNode tree and a cleanup list for data nodes.

Notes:

• This function creates SignalNodes and DataNodes for each feature module in the feature_list, organizing them into a child-sibling tree structure.

• Shared variables are handled by creating or updating variables in the shared_variables dictionary.

• Cleanup functions are added to the cleanup lists for signal and data nodes as needed.

• The nested functions create_node and build_feature_tree assist in creating and organizing the nodes.

• This function returns SignalContainer and DataContainer instances containing the root nodes and cleanup lists for signal and data nodes.

• SignalNodes represent signal processing tasks, and DataNodes represent data processing tasks within the feature modules.