def _export_stories(tracker, export_file_path):
# export current stories and quit
exported = StoryExported(export_file_path)
tracker.update(exported)
logger.info("Stories got exported to '{}'.".format(
os.path.abspath(exported.path)))
def test_json_parse_export():
# DOCS MARKER StoryExported
evt = \
{
'event': 'export',
}
# DOCS END
assert Event.from_parameters(evt) == StoryExported()
def _export_stories(self, tracker):
# export current stories and quit
export_file_path = utils.request_input(
prompt="File to export to (if file exists, this "
"will append the stories) [stories.md]: ")
exported = StoryExported(export_file_path)
tracker.update(exported)
logger.info("Stories got exported to '{}'.".format(
os.path.abspath(exported.path)))
def probabilities_using_best_policy(self, tracker, domain):
# [feature vector, tracker, domain] -> int
# given a state, predict next action via asking a human
probabilities = self.base_ensemble.probabilities_using_best_policy(
tracker, domain)
pred_out = np.argmax(probabilities)
latest_action_was_listen = self._print_history(tracker)
action_name = domain.action_for_index(pred_out).name()
colored_name = utils.wrap_with_color(action_name, utils.bcolors.OKBLUE)
if latest_action_was_listen:
print("The bot wants to [{}] due to the intent. "
"Is this correct?\n".format(colored_name))
user_input = utils.request_input(
["1", "2", "3", "0"], "\t1.\tYes\n" +
"\t2.\tNo, intent is right but the action is wrong\n" +
"\t3.\tThe intent is wrong\n" +
"\t0.\tExport current conversations as stories and quit\n")
else:
print("The bot wants to [{}]. "
"Is this correct?\n".format(colored_name))
user_input = utils.request_input(
["1", "2", "0"],
"\t1.\tYes.\n" + "\t2.\tNo, the action is wrong.\n" +
"\t0.\tExport current conversations as stories and quit\n")
feature_vector = domain.feature_vector_for_tracker(
self.featurizer, tracker, self.max_history)
X = np.expand_dims(np.array(feature_vector), 0)
if user_input == "1":
# max prob prediction was correct
return probabilities
elif user_input == "2":
# max prob prediction was false, new action required
# action wrong
y = self._request_action(probabilities, domain, tracker)
self._fit_example(X, y, domain)
self.write_out_story(tracker)
return utils.one_hot(y, domain.num_actions)
elif user_input == "3":
# intent wrong and maybe action wrong
intent = self._request_intent(tracker, domain)
latest_message = copy.copy(tracker.latest_message)
latest_message.intent = intent
tracker.update(UserUtteranceReverted())
tracker.update(latest_message)
return self.probabilities_using_best_policy(tracker, domain)
elif user_input == "0":
# export current stories and quit
tracker.update(StoryExported())
exit()
else:
raise Exception(
"Incorrect user input received '{}'".format(user_input))
def _export_stories(tracker):
# export current stories and quit
file_prompt = ("File to export to (if file exists, this "
"will append the stories) "
"[{}]: ").format(DEFAULT_FILE_EXPORT_PATH)
export_file_path = utils.request_input(prompt=file_prompt)
if not export_file_path:
export_file_path = DEFAULT_FILE_EXPORT_PATH
exported = StoryExported(export_file_path)
tracker.update(exported)
logger.info("Stories got exported to '{}'.".format(
os.path.abspath(exported.path)))
@pytest.mark.parametrize("one_event,another_event", [
(UserUttered("/greet", {
"name": "greet",
"confidence": 1.0
}, []), UserUttered("/goodbye", {
"name": "goodbye",
"confidence": 1.0
}, [])),
(TopicSet("my_topic"), TopicSet("my_other_topic")),
(SlotSet("my_slot", "value"), SlotSet("my__other_slot", "value")),
(Restarted(), None),
(AllSlotsReset(), None),
(ConversationPaused(), None),
(ConversationResumed(), None),
(StoryExported(), None),
(ActionReverted(), None),
(ActionExecuted("my_action"), ActionExecuted("my_other_action")),
(BotUttered("my_text",
"my_data"), BotUttered("my_other_test", "my_other_data")),
(ReminderScheduled("my_action",
"now"), ReminderScheduled("my_other_action", "now")),
])
def test_event_has_proper_implementation(one_event, another_event):
# equals tests
assert one_event != another_event, \
"Same events with different values need to be different"
assert one_event == deepcopy(one_event), \
"Event copies need to be the same"
assert one_event != 42, \
"Events aren't equal to 42!"
(SlotSet("my_slot", "value"),
SlotSet("my__other_slot", "value")),
(Restarted(),
None),
(AllSlotsReset(),
None),
(ConversationPaused(),
None),
(ConversationResumed(),
None),
(StoryExported(),
None),
(ActionReverted(),
None),
(ActionExecuted("my_action"),
ActionExecuted("my_other_action")),
(BotUttered("my_text", "my_data"),
BotUttered("my_other_test", "my_other_data")),
(ReminderScheduled("my_action", "now"),
ReminderScheduled("my_other_action", "now")),
])
def test_event_has_proper_implementation(one_event, another_event):
def run(self, dispatcher, tracker, domain):
return [StoryExported("data.md"), Restarted()]