def get_model_mapper(model, stoppage=None, full=True):
"""Get a dictionary of name: class for all the objects in model."""
model = get_model(model)
flat_models = get_flat_models_from_model(model)
# this is the list of all the referenced objects
model_name_map = get_model_name_map(flat_models)
# flip the dictionary so I can access each class by name
model_name_map = {v: k for k, v in model_name_map.items()}
if full:
if not stoppage:
stoppage = set(
['NoExtraBaseModel', 'ModelMetaclass', 'BaseModel', 'object'])
# Pydantic does not necessarily add all the baseclasses to the OpenAPI
# documentation. We check all of them and them to the list if they are not
# already added
models = list(model_name_map.values())
for model in models:
for cls in type.mro(model):
if cls.__name__ in stoppage:
break
if cls.__name__ not in model_name_map:
model_name_map[cls.__name__] = cls
return model_name_map
def test_get_model():
class A(BaseModel):
a: str
assert get_model(A) == A
@dataclass
class B:
a: str
assert get_model(B) == B.__pydantic_model__
class C:
pass
with pytest.raises(TypeError):
get_model(C)