BaseJSONImporter
Import any fsp_config_foundation.data_model.ConfigModel subclass from a schema-annotated JSON file.
Applies the normalization pipeline before Pydantic validation: metadata stripping, value-wrapper unboxing, hex-string coercion, scalar-to-list coercion, and id:Name reference resolution.
This is the primary entry point for importing schema-annotated JSON files when the model type and file path are known up front: instance = BaseJSONImporter(MyConfig, "config.json").import_data()
Member Functions:
import_data
import_data()
Load, normalize, and validate the JSON file as model_type.
- Returns
-
T
Raises:
-
FileNotFoundError— If file_path does not exist. -
json.JSONDecodeError— If the file is not valid JSON. -
pydantic.ValidationError— If the normalized data fails model validation. -
ValueError— If an id:Name reference cannot be resolved.