Hi,
I followed the docs -
http://rasa.com/docs/core/api/events/#force-a-followup-action
and added custom action like this -
class ActionResetPass(Action):
def apply_to(self, tracker):
tracker.trigger_follow_up_action(self.ActionEmployeeCodeInput)
Now according to the docs i should get my next action name in followup_ action value but that is not happening rather i am getting action_listen instead!
this should be called in your actions run method
hereâs a guide on how to write custom actions, you should only need to define the name() and run() methods
you mean to say that i will have to add this -
tracker.trigger_follow_up_action(self.ActionEmployeeCodeInput)
in my class run method?
my action server is displaying error on doing that
tracker.trigger_followup_action() i belive itâs called
so their should be correction in docs
https://rasa.com/docs/core/api/events/#force-a-followup-action
changing that also did not made any diff getting same error from action server
tracker.trigger_followup_action(self.ActionEmployeeCodeInput)AttributeError: âTrackerâ object has no attribute âtrigger_followup_actionâ 127.0.0.1 - - [2018-09-17 16:48:41] âPOST /webhook HTTP/1.1â 500 412 0.000000
my code is this -
class ActionResetPass(Action): def name(self): return ânext_action_ask_user_empIDâ
def run(self, dispatcher, tracker, domain):
tracker.trigger_followup_action(self.ActionEmployeeCodeInput) response ="Pls provide with your employee code" dispatcher.utter_message(response)
Oops actually sorry, if youâre triggering a followup action from the action server, you should return a FollowupAction("action_name") event
nothing of this sort is mentioned in docs⌠So i have to pass FollowupAction(âaction_nameâ) in return like we do for slot setting⌠am i right?
for instance -
return [SlotSet(âmobNumâ,mobNum),FollowupAction(âaction_nameâ)]
Does this followup action work for you? When I try to execute FollowupAction(âenter_nameâ), it is getting executed but then default_fallback_action is getting predicted before its goes to âAction_listenâ. As I am not getting much from forum, I am trying to debug the code to find the process steps. If you have any updates on this, pls do share. Thnk you.
Never mind. Its working as expected.
How did you fix it? Iâm having some similar trouble right now 
I just changed the training policy until I got one that didnât mess up. I had to remove the KerasPolicy. Hope it works for you as well.
I use a custom action function to decompose a multi-intent to its respective intentsâ actions. However, enqueuing multiple FollowupActions in this custom action does not lead to execution of all FollowupActions. It seems that the first Followup action is properly acted upon, but other policies interrupt subsequently queued FollowupActions:
Here is an action for a multi-intent that is supposed to enqueue other actions:
class ActionMulti_VC_CT(Action):
def name(self):
return "action_VC_CT"
def run(self, dispatcher, tracker, domain):
intent = tracker.latest_message['intent'].get('name')
list_of_actions = routeMultiIntent(intent)
if len(list_of_actions) > 0:
return [FollowupAction(x) for x in list_of_actions]
else:
return [FollowupAction("action_default_fallback")]
When it is triggered, the tracker correctly prints that two followup actions are registered for the particular multi-intent inform_partyVehics+inform_peopleCount:
2020-05-04 00:39:50 DEBUG rasa.core.processor - Action 'action_PV_PC' ended with events '[<rasa.core.events.FollowupAction object at 0x7f2c242c05d0>, <rasa.core.events.FollowupAction object at 0x7f2c24242c50>]'.
(these followup actions are action_inform_partyVehics and action_inform_peopleCount):
However, as you can see, the bot only does the first FollowupAction:
Your input -> 3 adult and 2 kids. 2 cars
2020-05-04 00:39:50 DEBUG rasa.core.tracker_store - Recreating tracker for id 'c21e2c7a4d2640489471956fc08795e6'
2020-05-04 00:39:50 DEBUG rasa.core.processor - Received user message '3 adult and 2 kids. 2 cars' with intent '{'name': 'inform_partyVehics+inform_peopleCount', 'confidence': 0.5743247866630554}' and entities '[{'entity': 'number_people', 'start': 0, 'end': 1, 'extractor': 'DIETClassifier', 'value': '3'}, {'entity': 'number_people', 'start': 12, 'end': 13, 'extractor': 'DIETClassifier', 'value': '2'}, {'entity': 'number', 'start': 20, 'end': 21, 'extractor': 'DIETClassifier', 'value': '2'}, {'start': 0, 'end': 1, 'text': '3', 'value': 3, 'confidence': 1.0, 'additional_info': {'value': 3, 'type': 'value'}, 'entity': 'number', 'extractor': 'DucklingHTTPExtractor'}, {'start': 12, 'end': 13, 'text': '2', 'value': 2, 'confidence': 1.0, 'additional_info': {'value': 2, 'type': 'value'}, 'entity': 'number', 'extractor': 'DucklingHTTPExtractor'}, {'start': 20, 'end': 21, 'text': '2', 'value': 2, 'confidence': 1.0, 'additional_info': {'value': 2, 'type': 'value'}, 'entity': 'number', 'extractor': 'DucklingHTTPExtractor'}]'
2020-05-04 00:39:50 DEBUG rasa.core.processor - Current slot values:
age: None
can_use_spacy: None
countTime: 2020-05-04T12:00:00.000-07:00
current_api: None
data_stored: None
entity_extractor: None
feedback_message: None
feedback_value: None
howLong: None
language: None
name: None
nlu_part: None
onboarding: None
package_manager: None
partyVehics: None
peopleCount: 3
problem_description: None
product: None
requested_slot: partyVehics
returnStatus: restart
search_results: None
seenBefore: False
seenPastDay: None
shown_privacy: None
source: None
step: None
suggestion: None
trailVisits: None
unknown_nlu_part: None
unknown_product: None
vehicleCount: 7
yearBorn: None
zipCode: None
2020-05-04 00:39:50 DEBUG rasa.core.processor - Logged UserUtterance - tracker now has 204 events.
2020-05-04 00:39:50 DEBUG rasa.core.policies.memoization - Current tracker state [{'prev_action_listen': 1.0, 'intent_hello': 1.0}, {'prev_action_setDefaultSlotValues': 1.0, 'intent_hello': 1.0}, {'prev_utter_hello': 1.0, 'intent_hello': 1.0}, {'prev_count_episode': 1.0, 'active_form_count_episode': 1.0, 'intent_hello': 1.0, 'slot_returnStatus_2': 1.0}, {'prev_action_listen': 1.0, 'active_form_count_episode': 1.0, 'entity_number_people': 1.0, 'intent_inform_partyVehics+inform_peopleCount': 1.0, 'entity_number': 1.0, 'slot_returnStatus_2': 1.0}]
2020-05-04 00:39:50 DEBUG rasa.core.policies.memoization - There is no memorised next action
2020-05-04 00:39:50 DEBUG rasa.core.policies.mapping_policy - The predicted intent 'inform_partyVehics+inform_peopleCount' is mapped to action 'action_PV_PC' in the domain.
2020-05-04 00:39:50 DEBUG rasa.core.policies.form_policy - There is an active form 'count_episode'
2020-05-04 00:39:50 DEBUG rasa.core.policies.fallback - NLU confidence threshold met, confidence of fallback action set to core threshold (0.3).
2020-05-04 00:39:50 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_2_MappingPolicy
2020-05-04 00:39:50 DEBUG rasa.core.processor - Predicted next action 'action_PV_PC' with confidence 1.00.
2020-05-04 00:39:50 DEBUG rasa.core.actions.action - Calling action endpoint to run action 'action_PV_PC'.
2020-05-04 00:39:50 DEBUG rasa.core.processor - Action 'action_PV_PC' ended with events '[<rasa.core.events.FollowupAction object at 0x7f2c242c05d0>, <rasa.core.events.FollowupAction object at 0x7f2c24242c50>]'.
2020-05-04 00:39:50 DEBUG rasa.core.processor - Current slot values:
age: None
can_use_spacy: None
countTime: 2020-05-04T12:00:00.000-07:00
current_api: None
data_stored: None
entity_extractor: None
feedback_message: None
feedback_value: None
howLong: None
language: None
name: None
nlu_part: None
onboarding: None
package_manager: None
partyVehics: None
peopleCount: 3
problem_description: None
product: None
requested_slot: partyVehics
returnStatus: restart
search_results: None
seenBefore: False
seenPastDay: None
shown_privacy: None
source: None
step: None
suggestion: None
trailVisits: None
unknown_nlu_part: None
unknown_product: None
vehicleCount: 7
yearBorn: None
zipCode: None
2020-05-04 00:39:50 DEBUG rasa.core.processor - Predicted next action 'action_inform_peopleCount' with confidence 1.00.
2020-05-04 00:39:50 DEBUG rasa.core.actions.action - Calling action endpoint to run action 'action_inform_peopleCount'.
2020-05-04 00:39:50 DEBUG rasa.core.processor - Action 'action_inform_peopleCount' ended with events '[<rasa.core.events.SlotSet object at 0x7f2c24018a50>]'.
2020-05-04 00:39:50 DEBUG rasa.core.processor - Current slot values:
age: None
can_use_spacy: None
countTime: 2020-05-04T12:00:00.000-07:00
current_api: None
data_stored: None
entity_extractor: None
feedback_message: None
feedback_value: None
howLong: None
language: None
name: None
nlu_part: None
onboarding: None
package_manager: None
partyVehics: None
peopleCount: 3
problem_description: None
product: None
requested_slot: partyVehics
returnStatus: restart
search_results: None
seenBefore: False
seenPastDay: None
shown_privacy: None
source: None
step: None
suggestion: None
trailVisits: None
unknown_nlu_part: None
unknown_product: None
vehicleCount: 7
yearBorn: None
zipCode: None
2020-05-04 00:39:50 DEBUG rasa.core.policies.memoization - Current tracker state [None, {}, {'prev_action_listen': 1.0, 'intent_hello': 1.0}, {'prev_action_setDefaultSlotValues': 1.0, 'intent_hello': 1.0}, {'prev_utter_hello': 1.0, 'intent_hello': 1.0}]
2020-05-04 00:39:50 DEBUG rasa.core.policies.memoization - There is a memorised next action 'count_episode'
2020-05-04 00:39:50 DEBUG rasa.core.policies.mapping_policy - There is no mapped action for the predicted intent, 'inform_partyVehics+inform_peopleCount'.
2020-05-04 00:39:50 DEBUG rasa.core.policies.form_policy - There is an active form 'count_episode'
2020-05-04 00:39:50 DEBUG rasa.core.policies.fallback - NLU confidence threshold met, confidence of fallback action set to core threshold (0.3).
2020-05-04 00:39:50 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_0_MemoizationPolicy
2020-05-04 00:39:50 DEBUG rasa.core.processor - Predicted next action 'count_episode' with confidence 1.00.
2020-05-04 00:39:50 DEBUG rasa.core.actions.action - Calling action endpoint to run action 'count_episode'.
2020-05-04 00:39:50 DEBUG rasa.core.processor - Action 'count_episode' ended with events '[BotUttered('How many vehicles did your party bring to the trailhead today?', {"elements": null, "quick_replies": null, "buttons": null, "attachment": null, "image": null, "custom": null}, {"countTime": "2020-05-04T12:00:00.000-07:00", "peopleCount": "3", "requested_slot": "partyVehics", "returnStatus": "restart", "vehicleCount": 7}, 1588552790.6476474), <rasa.core.events.SlotSet object at 0x7f2c24172290>]'.
2020-05-04 00:39:50 DEBUG rasa.core.processor - Current slot values:
age: None
can_use_spacy: None
countTime: 2020-05-04T12:00:00.000-07:00
current_api: None
data_stored: None
entity_extractor: None
feedback_message: None
feedback_value: None
howLong: None
language: None
name: None
nlu_part: None
onboarding: None
package_manager: None
partyVehics: None
peopleCount: 3
problem_description: None
product: None
requested_slot: partyVehics
returnStatus: restart
search_results: None
seenBefore: False
seenPastDay: None
shown_privacy: None
source: None
step: None
suggestion: None
trailVisits: None
unknown_nlu_part: None
unknown_product: None
vehicleCount: 7
yearBorn: None
zipCode: None
2020-05-04 00:39:50 DEBUG rasa.core.policies.memoization - Current tracker state [None, {}, {'prev_action_listen': 1.0, 'intent_hello': 1.0}, {'prev_action_setDefaultSlotValues': 1.0, 'intent_hello': 1.0}, {'prev_utter_hello': 1.0, 'intent_hello': 1.0}]
2020-05-04 00:39:50 DEBUG rasa.core.policies.memoization - There is a memorised next action 'count_episode'
2020-05-04 00:39:50 DEBUG rasa.core.policies.mapping_policy - There is no mapped action for the predicted intent, 'inform_partyVehics+inform_peopleCount'.
2020-05-04 00:39:50 DEBUG rasa.core.policies.form_policy - There is an active form 'count_episode'
2020-05-04 00:39:50 DEBUG rasa.core.policies.fallback - NLU confidence threshold met, confidence of fallback action set to core threshold (0.3).
2020-05-04 00:39:50 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_3_FormPolicy
2020-05-04 00:39:50 DEBUG rasa.core.processor - Predicted next action 'action_listen' with confidence 1.00.
2020-05-04 00:39:50 DEBUG rasa.core.processor - Action 'action_listen' ended with events '[]'.
2020-05-04 00:39:50 DEBUG rasa.core.lock_store - Deleted lock for conversation 'c21e2c7a4d2640489471956fc08795e6'.
After the first action_inform_peopleCount is executed, the second followup action is nowhere to be seen, and the line 2020-05-04 00:39:50 DEBUG rasa.core.policies.memoization - There is a memorised next action 'count_episode' occurs.
How can you execute multiple enqueued followup actions?
This is the first ânestedâ action that is called as a FollowupAction:
class ActionStorePartyVehics(Action):
"""Stores the number of vehicles in a party in a slot"""
def name(self):
return "action_inform_partyVehics"
def run(self, dispatcher, tracker, domain):
intent = tracker.latest_message['intent'].get('name')
partyVehics = next(tracker.get_latest_entity_values('number_vehic'), None)
if not partyVehics:
partyVehics = next(tracker.get_latest_entity_values('number'), None)
if partyVehics:
return [SlotSet('partyVehics', partyVehics)]
elif intent in ["skip_please", "deny"]:
return [SlotSet('partyVehics', "SKIPPED"), FollowupAction("action_skip_please")]
else:
return [SlotSet('partyVehics', tracker.latest_message.get('text'))]
Is the return statement in the actionâs run() overwriting previously scheduled events? If so, how do I get around this and allow one multi-intent to call its respective component intentsâ actions?
Related: Bug when returning multiple FollowupAction events in action
Thanks
Hi @argideritzalpea, this isnât a bug, itâs intentional that there can only be one FollowUpAction(). Can I ask why youâre not handling this in your stories instead? Thatâs the recommended way, otherwise your tracker history might get confusing quickly
Hello! Is that doable that initialize a tracker object and trigger an custom action with trigger_followup_action() âout sideâ the action server?
The project I am working on initializes the agent(by loading the models) in an independent python program. Have to find out a way to trigger the intention/action directly in that program.