def validate_types(schemas_and_tables: list): """Normalize a list of desired annotation types if passed None returns all types, otherwise checks that types exist Parameters ---------- types: list[str] or None Returns ------- list[str] list of types Raises ------ UnknownAnnotationTypeException If types contains an invalid type """ all_types = get_types() if not (all(schema_name in all_types for schema_name, table_name in schemas_and_tables)): bad_types = [ schema_name for schema_name, table_name in schemas_and_tables if schema_name not in all_types ] msg = f"{bad_types} are invalid types" raise UnknownAnnotationTypeException(msg)
def make_all_models(datasets): model_dict = {} types = get_types() for dataset in datasets: model_dict[dataset] = {} for type_ in types: model_dict[dataset][type_] = make_annotation_model(dataset, type_) return model_dict
def get(self): return get_types()
def test_get_types(): types = get_types() for type_ in types: schema = get_schema(type_) assert issubclass(schema, AnnotationSchema) or issubclass( schema, SpatialPoint)
def test_flatten_all(): types = get_types() for type_ in types: Schema = get_flat_schema(type_)
def index(): schema_types = get_types() return render_template("index.html", schema_types=schema_types, version=__version__)