def next_state_base(self, text):
if util.verify_response(text):
self.write_variable("throw_away", True)
self.context['data'] = self.read_variable(
"loaded_file").content.split("\n")[1:]
return sm.Print(["Great, thanks."
]).when_done(self.get_when_done_state())
return CheckHeader(force_ask=True).when_done(
self.get_when_done_state())
def next_state_base(self, text):
file_str = self.context['data']
types = rows_and_types(split_line(file_str[0]))
if not self.force_check:
self.context["types"] = types
if self.force_check or util.verify_response(text):
print(types)
dummy_frame = iris_objects.IrisDataframe(column_names=self.context['headers'], column_types=["String" for _ in types], data=[types])
print_types = sm.Print([{"type":"collection_select_one", "value":dummy_frame.generate_spreadsheet_data()}]) #util.prettify_data(type_obj)}])
return sm.DoAll([print_types, ChangeIndex()]).when_done(self.get_when_done_state())
return None #True, Done().when_done(self.get_when_done_state())
def next_state_base(self, text):
file_str = self.context['data']
types = rows_and_types(split_line(file_str[0]))
if not self.force_check:
self.context["types"] = types
if self.force_check or util.verify_response(text):
type_obj = {
i: {
"name": self.context["headers"][i],
"type": self.context["types"][i],
"example": split_line(self.context["data"][0])[i]
}
for i, _ in enumerate(self.context["headers"])
}
print_types = sm.Print([{
"type": "data",
"value": util.prettify_data(type_obj)
}])
return sm.DoAll([print_types, ChangeIndex()
]).when_done(self.get_when_done_state())
return None #True, Done().when_done(self.get_when_done_state())
def next_state_base(self, text):
if util.verify_response(text):
return ChangeIndex().when_done(self.get_when_done_state())
return None #True, Done().when_done(self.get_when_done_state())
def base_hint(self, text):
if text == "":
return ["yes", "no"]
if util.verify_response(text):
return ["yes"]
return ["no"]