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__)