action.py

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

from rasa_core.actions.action import Action
from rasa_core.events import SlotSet

import pandas as pd
from fuzzywuzzy import fuzz
from fuzzywuzzy import process

class GetAnswer(Action):
	def __init__(self):
		print("ici2")
		self.faq_data = pd.read_csv('./data/faq_data.csv')

	def name(self):
		return 'action_get_answer'

	def run(self, dispatcher, tracker, domain):
		query = tracker.latest_message.text
		questions = self.faq_data['question'].values.tolist()

		mathed_question, score = process.extractOne(query, questions, scorer=fuzz.token_set_ratio) # use process.extract(.. limits = 3) to get multiple close matches

		if score > 50: # arbitrarily chosen 50 to exclude matches not relevant to the query
		    matched_row = self.faq_data.loc[self.faq_data['question'] == mathed_question,]

		    document = matched_row['link'].values[0]
		    page = matched_row['page'].values[0]
		    match = matched_row['question'].values[0]
		    answer = matched_row['answers'].values[0]
		    response = "Here's something I found, \n\n Question: {} \n Answer: {} \n".format(match, answer)

		else:
			response = "Sorry I couldn't find anything relevant to your query!"

		dispatcher.utter_message(response)