def main():
ai = apiai.ApiAI(CLIENT_ACCESS_TOKEN)
session_id = uuid.uuid4(
).hex # some unuque session id for user identification
entries = [
apiai.UserEntityEntry('Firefox', ['Firefox']),
apiai.UserEntityEntry('XCode', ['XCode']),
apiai.UserEntityEntry('Sublime Text', ['Sublime Text'])
]
user_entities_request = ai.user_entities_request(
[apiai.UserEntity("Application", entries, session_id)])
user_entities_response = user_entities_request.getresponse()
print 'Uplaod user entities response: ', (user_entities_response.read())
request = ai.text_request()
request.session_id = session_id
request.query = "Open application Firefox"
response = request.getresponse()
print 'Query response: ', (response.read())
botDo =botActions.botActions()
ai = apiai.ApiAI('e04adfd76c294f628762d676927ff97c')
session_id = uuid.uuid4().hex
session_over = False
#Getting the list of available actions
action_list = os.listdir("LearnedActions")
entries = []
for action in action_list:
single_action = apiai.UserEntityEntry(action, [action])
entries.append(single_action)
user_entities_request = ai.user_entities_request(
[
apiai.UserEntity("eUserActions", entries, session_id)
]
)
user_entities_response = user_entities_request.getresponse()
action_list.extend(['Baxter','tuck','untuck','right','left','open','close','wave','ball lifting','lifting','wake up'])
#Starting the robot with a voice command
while 1:
print 'Start with phrase "wake up Baxter"'
client = Client(action_list)
value_g = client.listen()
if ('Baxter' in value_g ) or (value_g in 'Jacob Baxter') or (value_g in 'Abort'):
break
#Invokng the welcome intent
def post_user_text(request):
if request.method == "POST":
user_id = request.POST.get('user_id')
user_query = request.POST.get('user_query')
question_id = request.POST.get('question_id', None)
question_option_clicked = request.POST.get('option_number_clicked',
None)
ai = apiai.ApiAI(settings.CLIENT_ACCESS_TOKEN)
session_id = uuid.uuid4().hex
entries = [
apiai.UserEntityEntry('Firefox', ['Firefox']),
apiai.UserEntityEntry('XCode', ['XCode']),
apiai.UserEntityEntry('Sublime Text', ['Sublime Text'])
]
user_entities_request = ai.user_entities_request(
[apiai.UserEntity("Application", entries, session_id)])
user_entities_response = user_entities_request.getresponse()
print 'Upload user entities response: ', (user_entities_response.read())
request = ai.text_request()
request.session_id = session_id
request.query = user_query
response = request.getresponse()
a = json.loads(response.read())
intent_name = a['result']['metadata']['intentName']
if intent_name == 'Welcome Intent':
obj = UserQuestion.objects.all()[0]
next_question_to_ask = obj.question_text
next_question_id = obj.question_id
print next_question_to_ask, "next_question_to_ask"
res = {
'question': next_question_to_ask,
'options': None,
'question_id': next_question_id
}
return JsonResponse(res)
if question_id:
obj = QuestionHistory(user_id=user_id,
question_id=question_id,
question_answer=user_query)
obj.save()
print type(question_id), question_id, "ok"
print question_option_clicked
if question_option_clicked:
nxt_ques_obj = NextQuestionLink.objects.get(
question_id=int(question_id),
question_options=int(question_option_clicked))
print nxt_ques_obj
print nxt_ques_obj.question_id
print nxt_ques_obj.question_options
next_question_id = nxt_ques_obj.next_question_id
print next_question_id, "next_question_id"
q_obj = UserQuestion.objects.get(question_id=int(next_question_id))
next_question_to_ask = q_obj.question_text
print next_question_to_ask
next_question_id = q_obj.question_id
options = q_obj.question_options
scores = q_obj.question_scores
res = {
'question': next_question_to_ask,
'options': options,
'scores': scores,
'question_id': next_question_id,
}
return JsonResponse(res)
return HttpResponse("Something")