def execute(self):
resp = self.handle_hours()
if resp is not None:
return str(resp)
resp = VoiceResponse()
gather = Gather()
gather.play(self.section_data['play_sample'], digits=1)
pause = 2
if 'pause' in self.section_data.keys():
pause = int(self.section_data['pause'])
gather.pause(length=pause)
resp.append(gather)
if ('no_input_max_loops' in self.section_data.keys()
and self.loop_count >= int(
self.section_data['no_input_max_loops'])):
if 'no_input_action_on_max_loops' in self.section_data.keys():
resp.redirect(
self.url_of(
'/ivr/action/' +
self.section_data['no_input_action_on_max_loops']))
else:
resp.hangup()
if 'no_input_sample' in self.section_data.keys():
resp.play(self.section_data['no_input_sample'])
resp.redirect(self.url_of(f'/ivr/menu?loop_count={self.loop_count}'))
return str(resp)
def voice():
twiml = VoiceResponse()
gather = Gather(action='store',
input='dtmf speech',
timeout="3")
gather.say('hello')
gather.pause(length="3")
twiml.append(gather)
twiml.hangup() # hang up call after gathering speech
return str(twiml)
def test_nested_say_play_pause(self):
""" a gather with a say, play, and pause """
g = Gather()
g.say('Hey')
g.play(url='hey.mp3')
g.pause()
r = VoiceResponse()
r.append(g)
assert_equal(
self.strip(r),
'<?xml version="1.0" encoding="UTF-8"?><Response><Gather><Say>Hey</Say><Play>hey.mp3</Play><Pause /></Gather></Response>'
)
def assistant():
"""End point dedicated to communicate with the user as assistant 'Yelp Voice'"""
message = ''
number = ''
twilio_number = ''
global sessionID
assistant = AssistantV2(username=watson_username,
password=watson_password,
url=watson_url,
version=watson_version)
if request.values.get('SpeechResult'):
print(message)
message = request.values['SpeechResult']
if request.values.get('From'):
number = request.values['From']
if request.values.get('To'):
twilio_number = request.values['To']
twilio_response = VoiceResponse()
gather = Gather(input='speech', action='/assistant', speechTimeout='auto')
# print(sessionID)
if sessionID == "":
session = assistant.create_session(watson_assistanceID).get_result()
sessionID = session['session_id']
print("message: {}".format(message))
if message != '':
watson_call = assistant.message(watson_assistanceID,
sessionID,
options={'return_context': 'true'},
input={'text': message})
response_watson = watson_call.get_result()
print(json.dumps(response_watson, indent=1))
if (len(response_watson['output']['generic']) > 0):
for intern_response in response_watson['output']['generic']:
if intern_response['response_type'] == 'text':
print(intern_response['text'])
flag_variable = ""
flag_values = ""
if len(intern_response['text'].split("::")) > 1:
flag_variable = intern_response['text'].split(
"::")[0].strip()
flag_values = intern_response['text'].split(
"::")[1].strip()
if flag_variable == "{restaurant}":
gather.say(
'sure, I will let you know about some restaurants nearby',
voice='alice')
gather.say(getRestaurantList(flag_values),
voice='alice')
elif (len(response_watson['output']['intents']) > 0):
for intern_intent in response_watson['output'][
'intents']:
if intern_intent["intent"] == "No" or intern_intent[
"intent"] == "General_Ending":
twilio_response.say(intern_response['text'],
voice='alice')
assistant.delete_session(
watson_assistanceID, sessionID)
sessionID = ""
gather.pause(2)
twilio_response.hangup()
else:
gather.say(intern_response['text'],
voice='alice')
else:
gather.say(intern_response['text'], voice='alice')
gather.pause(4)
gather.say('Is there other question that I can answer?',
voice='alice')
else:
response_watson = assistant.message(watson_assistanceID,
sessionID,
options={
'return_context': 'true'
},
input={
'text': login(number)
}).get_result()
if (len(response_watson['output']['generic']) > 0):
for intern_response in response_watson['output']['generic']:
if intern_response['response_type'] == 'text':
print(intern_response['text'])
gather.say(intern_response['text'], voice='alice')
gather.pause(3)
gather.say(
'Remember, you can know what the people is thinking about some store or business. Just ask: Yelp, let me know about Thai Restaurants.',
voice='alice')
twilio_response.append(gather)
return str(twilio_response)
def airecruiter():
"""End point dedicated to communicate with the user as assistant"""
# welcome_message = ['Wellcome to the AI Recruiter Tool...',
# # 'How can I help you?',
# 'You can ask for status of your licences, check the candidates growth in latest month, and even know the most used actions from recruiters.',
# 'Just ask whenever you feel ready, saying Please let me know the candidates grow, for example...']
message = ''
number = ''
twilio_number = ''
session = None
assistant = AssistantV2(username=watson_username,
password=watson_password,
url=watson_url,
version=watson_version)
if request.values.get('SpeechResult'):
message = request.values['SpeechResult']
if request.values.get('From'):
number = request.values['From']
if request.values.get('To'):
twilio_number = request.values['To']
twilio_response = VoiceResponse()
gather = Gather(input='speech',
action='/airecruiter',
speechTimeout='auto')
if session is None:
session = assistant.create_session(watson_assistanceID).get_result()
sessionID = session['session_id']
if message != '':
print("message: {}".format(message))
message = assistant.message(watson_assistanceID,
sessionID,
input={
'text': message
}).get_result()
if (len(message['output']['generic']) > 0):
for intern_response in message['output']['generic']:
if intern_response['response_type'] == 'text':
print(intern_response['text'])
if intern_response['text'] == "{userName}":
messageApi = assistant.message(watson_assistanceID,
sessionID,
input={
'text': login()
}).get_result()
if (len(messageApi['output']['generic']) > 0):
for intern_api_response in messageApi['output'][
'generic']:
if intern_api_response[
'response_type'] == 'text':
print(intern_api_response['text'])
gather.say(intern_api_response['text'],
voice='alice')
elif intern_response['text'] == "{growth}":
gather.say(
'sure, I will let you know about the candidates growth in a second.',
voice='alice')
for idea_response in get_candidate_growth():
gather.say(idea_response, voice='alice')
elif intern_response['text'] == "{resumeviewed}":
gather.say(
'sure thing, I will let you know about the most recent resumes viewed.',
voice='alice')
for idea_response in most_viewed_resumes():
gather.say(idea_response, voice='alice')
elif intern_response['text'] == "{actionused}":
gather.say(
'hold on a second, I am collecting the data.',
voice='alice')
for idea_response in actions_used_by_recruiter():
gather.say(idea_response, voice='alice')
elif (len(message['output']['intents']) > 0):
for intern_intent in message['output']['intents']:
if intern_intent["intent"] == "No" or intern_intent[
"intent"] == "General_Ending":
twilio_response.say(intern_response['text'],
voice='alice')
gather.pause(2)
twilio_response.hangup()
else:
gather.say(intern_response['text'], voice='alice')
gather.pause(2)
gather.say('Is there other question that I can answer?',
voice='alice')
else:
message = assistant.message(watson_assistanceID,
sessionID,
input={
'text': login()
}).get_result()
if (len(message['output']['generic']) > 0):
for intern_response in message['output']['generic']:
if intern_response['response_type'] == 'text':
print(intern_response['text'])
gather.say(intern_response['text'], voice='alice')
gather.pause(2)
gather.say(
'Remember, you can ask about the grow in candidates latest months. Just ask: "Alice, let me know the candidates grow."',
voice='alice')
twilio_response.append(gather)
return str(twilio_response)
