def __init__(self, obj, cb):
self.obj = obj
# Scrub your object, label it as a method, send it out
methods = scrubber.scrub(dictify(obj))
methods['method'] = 'methods'
#output callback
self.cb(json.dumps(methods))
def scrub(node):
# I want to dictify vanilla objects only.
# wtf_is(node.value)
if wtf_is(node.value)["is_a"] == [types.ObjectType]:
node.set(dictify(node.value))
# I want to scrub out functions here.
if isinstance(node.value, types.FunctionType) or isinstance(node.value, types.MethodType):
# register the function/method into the lut, get an id (key).
fname = self.lut.register(node.value)
# Adds function and path to callbacks list
callbacks.append((fname, node.path))
node.set("[function]")
def scrub(self, args):
callbacks = []
if wtf_is(args)["is_a"] == [types.ObjectType]:
scrubbed = dictify(args)
else:
scrubbed = args[:]
@walk(scrubbed)
def scrub(node):
# I want to dictify vanilla objects only.
# wtf_is(node.value)
if wtf_is(node.value)["is_a"] == [types.ObjectType]:
node.set(dictify(node.value))
# I want to scrub out functions here.
if isinstance(node.value, types.FunctionType) or isinstance(node.value, types.MethodType):
# register the function/method into the lut, get an id (key).
fname = self.lut.register(node.value)
# Adds function and path to callbacks list
callbacks.append((fname, node.path))
node.set("[function]")
# Some trickery with the "arguments" field. May not suffice.
return {"arguments": [scrubbed] if type(scrubbed) == dict else list(scrubbed), "callbacks": dict(callbacks)}
