def deep_nesting_representation()

in scripts/schema/loader.py [0:0]

• 16 lines of code
• 5 McCabe index (conditional complexity)

def deep_nesting_representation(fields: Dict[str, FieldNestedEntry]) -> Dict[str, FieldEntry]:
    deeply_nested: Dict[str, FieldEntry] = {}
    for (name, flat_schema) in fields.items():

        # We destructively select what goes into schema_details and child fields.
        # The rest is 'field_details'.
        flat_schema = flat_schema.copy()
        flat_schema['node_name'] = flat_schema['name']

        # Schema-only details. Not present on other nested field groups.
        schema_details: SchemaDetails = {}
        for schema_key in ['root', 'group', 'reusable', 'title']:
            if schema_key in flat_schema:
                schema_details[schema_key] = flat_schema.pop(schema_key)

        nested_schema = nest_fields(flat_schema.pop('fields', []))
        # Re-assemble new structure
        deeply_nested[name] = {
            'schema_details': schema_details,
            # What's still in flat_schema is the field_details for the field set itself
            'field_details': flat_schema,
            'fields': nested_schema['fields']
        }
    return deeply_nested