Issue with database and RASA connection

Rasa Core version: 0.13.0

Python version: 0.14.1

Operating system (windows, osx, …): Linux

Issue: I am facing some issues while trying to fetch data from MySQL database.

I am getting an error as follows:

2019-03-11 17:37:50 DEBUG rasa_core.processor - Predicted next action ‘action_db’ with prob 1.00. 2019-03-11 17:37:50 DEBUG rasa_core.actions.action - Calling action endpoint to run action ‘action_db’. 2019-03-11 17:37:50 ERROR rasa_core.actions.action - Failed to run custom action ‘action_db’. Action server responded with a non 200 status code of 404. Make sure your action server properly runs actions and returns a 200 once the action is executed. Error: 404 Client Error: NOT FOUND for url: http://localhost:5055/webhook/ 2019-03-11 17:37:50 ERROR rasa_core.processor - Encountered an exception while running action ‘action_db’. Bot will continue, but the actions events are lost. Make sure to fix the exception in your custom code. 2019-03-11 17:37:50 DEBUG rasa_core.processor - Failed to execute custom action.

Content of domain file (if used & relevant):

slots:
  personid:
    type: text
  stockid:
    type: text
  matches:
    type: unfeaturized

intents:
 - greet
 - bye
 - affirmative
 - negative
 - personid
 - stockid
 - inform

entities:
 - personid
 - stockid

templates:
  utter_greet:
    - 'Hello! How can I help?'
  utter_goodbye:
    - 'Talk to you later.'
    - 'Bye bye :('
  utter_ask_personid:
    - 'Tell me your id please'
    - 'May I know your id please?'
  utter_ask_stock:
    - 'Tell me the stock name please'
    - 'Could you please tell me the stock name?'

actions:
 - utter_greet
 - utter_goodbye
 - utter_ask_stock
 - utter_ask_personid
 - action_db

Content of action file :

from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals

from rasa_core_sdk import Action
from rasa_core_sdk.events import SlotSet

import MySQLdb

class ActionDb(Action):
	def name(self):
		return "action_db"

	def run(self, dispatcher, tracker, domain): 
		db = MySQLdb.connect("localhost","root","root","DBforChatbot")
		cursor = db.cursor()
		PersonID = tracker.get_slot('personid')
		StockID = tracker.get_slot('stockid')
		q = "select StockName, StockBalance from Persons WHERE (PersonID = '%d' and StockName = '%s');" % (PersonID, StockID)
		try:
			cursor.execute(q)
			if cursor.execute(q)==0:
				print("Sorry, could not find any relevant data. Please contact 1234 for further assistance.")
			results = cursor.fetchall()
			not all(results)
			for row in results:
				stockname = row[0]
				stockbal = row[1]
				# Now print fetched result
				details = ("stockname=%s,stockbal=%d" % (stockname,stockbal))
				print(details)
		except:
			print ("Error: unable to fetch data")
	
		db.close()
		response = """The detail is as follows {}.""".format(results)
						
		dispatcher.utter_message(response)
		return [SlotSet('stockid',StockID)]

Content of endpoints file (if used & relevant):

action_endpoint:
  url: "http://localhost:5055/webhook/"

Content of dialogue_management_model file:

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

import logging
import rasa_core
from rasa_core.agent import Agent
from rasa_core.policies.keras_policy import KerasPolicy
from rasa_core.policies.memoization import MemoizationPolicy
from rasa_core.interpreter import RasaNLUInterpreter
from rasa_core.utils import EndpointConfig
from rasa_core.run import serve_application
from rasa_core import config

logger = logging.getLogger(__name__)


def train_dialogue(domain_file = 'testbot_domain.yml',
					model_path = './models/dialogue',
					training_data_file = './data/stories.md'):
					
	agent = Agent(domain_file, policies = [MemoizationPolicy(), KerasPolicy(max_history=3, epochs=200, batch_size=50)])
	data = agent.load_data(training_data_file)	
	

	agent.train(data)
				
	agent.persist(model_path)
	return agent
	
def run_test_bot(serve_forever=True):
	interpreter = RasaNLUInterpreter('./models/nlu/default/testbotnlu')
	action_endpoint = EndpointConfig(url="http://localhost:5055/webhook/")
	agent = Agent.load('./models/dialogue', interpreter=interpreter, action_endpoint=action_endpoint)
	rasa_core.run.serve_application(agent ,channel='cmdline')
		
	return agent
	
if __name__ == '__main__':
	train_dialogue()
	run_test_bot()

Hi @tmbo @akelad @EPedrotti , could you please help here. Thanks.

[dezykum]

Hi Ujjwalsas9 can you elaborate what you fixed to get this resolved.

[siddharthchauhan]

Can @Ujjwalsas9 please tell me what you fixed in this? I am doing similar kind of thing.