could any body tell me why the validate_country and validate_pop_cap methods never be called automatically??? https://github.com/salama4ai/salama4ai-chatbot here is the action.py file content # This files contains your custom actions which can be used to run # custom Python code. # # See this guide on how to implement these action: # https://rasa.com/docs/rasa/custom-actions # This is a simple example for a custom action which utters "Hello World!" from typing import Any, Text, Dict, List, Optional from rasa_sdk import Action, Tracker, FormValidationAction from rasa_sdk.events import SlotSet, EventType from rasa_sdk.executor import CollectingDispatcher from rasa_sdk.types import DomainDict import requests import json #from aws_requests_auth.boto_utils import BotoAWSRequestsAuth #import jwt endpoint = "https://qcooc59re3.execute-api.us-east-1.amazonaws.com/dev/get" timeout = 55 #auth = BotoAWSRequestsAuth(aws_host="qcooc59re3.execute-api.us-east-1.amazonaws.com", # aws_region="us-east-1", aws_service="execute-api") #any class name but it's good to be as the name of the action in camel class ValidateCountryPopCapForm(FormValidationAction): def name(self) -> Text: return "validate_country_pop_cap_form" #"validate_<form_name>" #def validate_<slot_name> def validate_country(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: DomainDict, slot_value: Any) -> Dict[Text, Any]: """ validate the 'country' value""" print("validate_country") # to notify me when this function is called # check if the country slot value is not null if not slot_value: dispatcher.utter_message(response = "utter_ask_country") return {"country": None} # check if the country slot value is in our database in case the user give country country = slot_value.title() print(country) try: res_country = requests.get(f"{endpoint}Countries", timeout=timeout) # check if the status_code is ok, less than 400 if not res_country.ok: raise Exception elif country not in res_country.json()["body"]: dispatcher.utter_message(response = "utter_not_found", country=country) return {"country": None} else: print(country) return {"country", country} except: dispatcher.utter_message(response = "utter_server_failure") return {"country": None} #def validate_<slot_name> def validate_pop_cap(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: DomainDict, slot_value: Any) -> Dict[Text, Any]: """ validate the 'pop_cap' value""" print("validate_pop_cap") # to notify me when this function is cal…

[image] sun: {'config': {'store_entities_as_slots': True}, 'session_config': {'session_expiration_time': 60, 'carry_over_slots_to_new_session': True}, 'intents': [{'country_pop_cap_query': {'use_entities': True}}, {'greet': {'use_entities': True}}, {'bot_challenge': {'use_entities': True}}, {'goodbye': {'use_entities': True}}, {'thank': {'use_entities': True}}], 'entities': ['country', 'pop_cap'], 'slots': {'pop_cap': {'type': 'rasa.shared.core.slots.CategoricalSlot', 'initial_value': None, 'influence_conversation': False, 'mappings': [{'type': 'from_entity', 'entity': 'pop_cap'}], 'values': ['capital', 'population']}, 'country': {'type': 'rasa.shared.core.slots.TextSlot', 'initial_value': None, 'influence_conversation': False, 'mappings': [{'type': 'from_entity', 'entity': 'country'}]}}, 'responses': {'utter_greet': [{'text': 'Hey! How are you?'}, {'text': 'hey dude, how are you doing'}, {'text': "you, what's up"}, {'text': 'Hi there, How is your day going?'}, {'text': 'how day bro'}, {'text': 'hello buddy, how you doing'}, {'text': 'Welcome. How is your day going?'}], 'utter_thank': [{'text': 'you are welcome bro'}, {'text': 'always happy to help'}, {'text': 'with pleasure dude'}, {'text': "it's my pleasure"}], 'utter_goodbye': [{'text': 'Bye, see you'}, {'text': 'bye bye :)'}, {'text': 'have a nice day'}, {'text': 'see you around'}, {'text': 'have a great day dude'}, {'text': 'have a good day bro'}, {'text': 'all the best buddy'}, {'text': 'see you'}], 'utter_iamabot': [{'text': 'I am a bot, how did you guess that :)'}, {'text': 'I am a bot, powered by Rasa.'}, {'text': 'your guess is correct, I am a bot :)'}, {'text': "you are so clever to guess that, yes i'm a bot :)"}, {'text': "dude i was tring to hide that, ya i'm a bot"}, {'text': "that what i was tring to not let you reveal, ya i'm a bot"}], 'utter_offer': [{'text': 'I can give you information about the capital and population of some countries if you like'}, {'text': 'I have information about the capital and number of population of some countries'}, {'text': 'if you interested to know about the population or the capital of countries, i can help you '}, {'text': 'By the way, i offer information about the capital and the population of countries'}, {'text': 'i will provide you with the capital and population if you ask me'}, {'text': 'please feel free to ask me about the capital and population of countries'}, {'text': 'if you interested in knowing the population or the capital of counties, i will help you'}, {'text': 'the population and the capital of countries is my game'}], 'utter_ask_country': [{'text': 'Which country do you want to know about please?'}, {'text': 'Please determine which country you intent'}, {'text': 'which country do you interested in?'}, {'text': 'which country do you care about?'}, {'text': 'select a country please?'}], 'utter_ask_pop_cap': [{'text': 'Do you want to know about the Population or the Capital of {country}?'}, {'text': 'Are you interested in knowing …

[image] sun: # check if the country slot value is not null if not slot_value: dispatcher.utter_message(response = "utter_ask_country") return {"country": None} There is a problem here by the way. To check if a variable is None, you use if x is None. To check if it is not None, you use if x is not None. What you did here is if not x, which will get triggered if x is None, False, or 0.

Does the form even start or not?

ok great, what about the other issue of validation_<form_name>

Show me your rules and stories please

version: "3.0" rules: - rule: Say `hello` when the user starts a conversation with intent `greet` conversation_start: true steps: - intent: greet - action: utter_greet - action: utter_offer - action: action_listen - rule: Say `hello` when the user starts a conversation with intent `greet` conversation_start: False steps: - intent: greet - action: utter_greet - action: action_listen - rule: Say thank you anytime the user says thank you steps: - intent: thank - action: utter_thank - action: action_listen - rule: Say goodbye anytime the user says goodbye steps: - intent: goodbye - action: utter_goodbye - action: action_deactivate_loop - rule: Say 'I am a bot' anytime the user challenges steps: - intent: bot_challenge - action: utter_iamabot - action: action_listen - rule: activate the country_pop_cap_form steps: - intent: country_pop_cap_query - action: validate_country_pop_cap_form - active_loop: validate_country_pop_cap_form - rule: respond to the user's question condition: - active_loop: validate_country_pop_cap_form steps: - action: validate_country_pop_cap_form - active_loop: null - slot_was_set: - requested_slot: null - action: action_answer - action: action_listen #- rule: handling if the user ask different question when the form is active # condition: # Condition that form is active. # - active_loop: validate_user_question # steps: # This path handles the case of an intent `bot_challenge` while the form is active. # - intent: bot_challenge # - action: utter_iamabot # Return to form after handling the `bot_challenge` intent # - action: validate_user_question # - active_loop: validate_user_question

Hmm your rule is correct. Are you sure the form doesn’t even start? Please make sure with rasa shell --debug. When done, please show me the outputs of rasa shell and rasa run actions.

this is the terminal (rasa-chatbot3.8) D:\master-linux\salama4ai-chatbot>rasa shell --debug C:\Users\huzyfa\Anaconda3\envs\rasa-chatbot3.8\lib\site-packages\rasa\shared\core\slot_mappings.py:213: UserWarning: Slot auto-fill has been removed in 3.0 and replaced with a new explicit mechanism to set slots. Please refer to https://rasa.com/docs/rasa/domain#slots to learn more. rasa.shared.utils.io.raise_warning( 2022-02-20 12:12:04 DEBUG h5py._conv - Creating converter from 7 to 5 2022-02-20 12:12:04 DEBUG h5py._conv - Creating converter from 5 to 7 2022-02-20 12:12:04 DEBUG h5py._conv - Creating converter from 7 to 5 2022-02-20 12:12:04 DEBUG h5py._conv - Creating converter from 5 to 7 2022-02-20 12:12:08 DEBUG matplotlib - (private) matplotlib data path: C:\Users\huzyfa\Anaconda3\envs\rasa-chatbot3.8\lib\site-packages\matplotlib\mpl-data 2022-02-20 12:12:08 DEBUG matplotlib - matplotlib data path: C:\Users\huzyfa\Anaconda3\envs\rasa-chatbot3.8\lib\site-packages\matplotlib\mpl-data 2022-02-20 12:12:08 DEBUG matplotlib - CONFIGDIR=C:\Users\huzyfa\.matplotlib 2022-02-20 12:12:08 DEBUG matplotlib - matplotlib version 3.3.4 2022-02-20 12:12:08 DEBUG matplotlib - interactive is False 2022-02-20 12:12:08 DEBUG matplotlib - platform is win32 2022-02-20 12:12:08 DEBUG matplotlib - loaded modules: ['sys', 'builtins', '_frozen_importlib', '_imp', '_warnings', '_io', 'marshal', 'nt', '_frozen_importlib_external', '_thread', '_weakref', 'winreg', 'time', 'zipimport', '_codecs', 'codecs', 'encodings.aliases', 'encodings', 'encodings.utf_8', 'encodings.cp1252', '_signal', 'encodings.latin_1', '_abc', 'abc', 'io', '_stat', 'stat', '_collections_abc', 'genericpath', 'ntpath', 'os.path', 'os', '_sitebuiltins', '_locale', '_bootlocale', 'types', 'importlib._bootstrap', 'importlib._bootstrap_external', 'warnings', 'importlib', 'importlib.machinery', 'importlib.abc', '_operator', 'operator', 'keyword', '_heapq', 'heapq', 'itertools', 'reprlib', '_collections', 'collections', '_functools', 'functools', 'contextlib', 'importlib.util', 'google', 'mpl_toolkits', 'ruamel', 'site', '_weakrefset', 'weakref', 'pkgutil', 'runpy', '__main__', 'enum', '_sre', 'sre_constants', 'sre_parse', 'sre_compile', 'copyreg', 're', 'token', 'tokenize', 'linecache', 'traceback', 'collections.abc', '_string', 'string', 'threading', 'atexit', 'logging', 'rasa.version', 'rasa.shared', 'rasa.shared.constants', 'typing.io', 'typing.re', 'typing', 'rasa.api', 'rasa', 'posixpath', 'fnmatch', 'errno', 'zlib', '_compression', '_bz2', 'bz2', '_lzma', 'lzma', 'shutil', 'locale', 'gettext', 'argparse', 'platform', 'rasa_sdk.version', 'rasa_sdk.cli', 'copy', 'math', '_datetime', 'datetime', 'rasa_sdk.events', 'rasa_sdk.interfaces', 'concurrent', 'concurrent.futures._base', 'concurrent.futures', '_socket', 'select', 'selectors', 'socket', 'signal', 'msvcrt', '_winapi', 'subprocess', '_ssl', '_struct', 'struct', 'binascii', 'base64', 'ssl', 'asyncio.constants'…

'tensorflow.python.keras.feature_column.dense_features_v2', 'tensorflow.python.keras.feature_column.sequence_feature_column', 'tensorflow.python.feature_column.feature_column_lib', 'tensorflow.python.ops.control_flow_util_v2', 'tensorflow.python.ops.cond_v2', 'tensorflow.core.protobuf.composite_tensor_variant_pb2', 'tensorflow.python.ops.gen_composite_tensor_ops', 'tensorflow.python.ops.composite_tensor_ops', 'tensorflow.python.ops.gradient_checker_v2', 'tensorflow.python.ops.metrics_impl', 'tensorflow.python.ops.metrics', 'tensorflow.python.ops.while_v2_indexed_slices_rewriter', 'tensorflow.python.ops.while_v2', 'tensorflow.python.ops.distributions', 'tensorflow.python.ops.distributions.kullback_leibler', 'tensorflow.python.ops.distributions.util', 'tensorflow.python.ops.distributions.distribution', 'tensorflow.python.ops.distributions.bernoulli', 'tensorflow.python.ops.distributions.beta', 'tensorflow.python.ops.distributions.categorical', 'tensorflow.python.ops.distributions.dirichlet', 'tensorflow.python.ops.distributions.dirichlet_multinomial', 'tensorflow.python.ops.distributions.gamma', 'tensorflow.python.ops.distributions.exponential', 'tensorflow.python.ops.distributions.special_math', 'tensorflow.python.ops.distributions.laplace', 'tensorflow.python.ops.distributions.multinomial', 'tensorflow.python.ops.distributions.normal', 'tensorflow.python.ops.distributions.student_t', 'tensorflow.python.ops.distributions.uniform', 'tensorflow.python.ops.distributions.distributions', 'tensorflow.python.ops.linalg.linear_operator_algebra', 'tensorflow.python.ops.linalg.linear_operator_util', 'tensorflow.python.ops.linalg.linear_operator', 'tensorflow.python.ops.linalg.linear_operator_adjoint', 'tensorflow.python.ops.linalg.linear_operator_block_diag', 'tensorflow.python.ops.signal', 'tensorflow.python.ops.signal.fft_ops', 'tensorflow.python.ops.linalg.linear_operator_circulant', 'tensorflow.python.ops.linalg.linear_operator_diag', 'tensorflow.python.ops.linalg.linear_operator_householder', 'tensorflow.python.ops.linalg.linear_operator_identity', 'tensorflow.python.ops.linalg.linear_operator_kronecker', 'tensorflow.python.ops.linalg.adjoint_registrations', 'tensorflow.python.ops.linalg.linear_operator_lower_triangular', 'tensorflow.python.ops.linalg.cholesky_registrations', 'tensorflow.python.ops.linalg.linear_operator_full_matrix', 'tensorflow.python.ops.linalg.linear_operator_addition', 'tensorflow.python.ops.linalg.linear_operator_block_lower_triangular', 'tensorflow.python.ops.linalg.linear_operator_inversion', 'tensorflow.python.ops.linalg.inverse_registrations', 'tensorflow.python.ops.linalg.linear_operator_composition', 'tensorflow.python.ops.linalg.linear_operator_zeros', 'tensorflow.python.ops.linalg.registrations_util', 'tensorflow.python.ops.linalg.matmul_registrations', 'tensorflow.python.ops.linalg.solve_registrations', 'tensorflow.python.ops.linalg.linear_operator_low_rank_update', 'tensorflow.python.ops.linalg.linear_operator_permutatio…

Could any body tell me why the validation form methods don't be called automatically(don't work at all)?

Rasa Open Source

sun (happy) February 20, 2022, 10:06am 20

i didn’t write any stories, but i write rule file

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Error: make sure the validation method returns the correct output Rasa Open Source	12	2221	February 20, 2022
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Could any body tell me why the validation form methods don't be called automatically(don't work at all)?

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