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bot.py
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# bot.py
# speechrecognition, pyaudio, brew install portaudio
import sys
sys.path.append("./")
print sys.path
import requests
import datetime
import time
import dateutil.parser
import json
import traceback
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from oauth2client.tools import argparser
from uber_rides.client import UberRidesClient
from uber_rides.session import OAuth2Credential
from uber_rides.session import Session
import houndify
from nlg import NLG
from speech import Speech
from knowledge import Knowledge
from vision import Vision
my_name = "Joshua"
launch_phrase = "ok mirror"
use_launch_phrase = True
weather_api_token = "16a553b6b08b393ca8fe18e8e59710de"
wit_ai_token = "Bearer FRSHXYKOC45F2MUBVZAWGLZMKBQ4HRDI"
debugger_enabled = True
camera = 0
class Bot(object):
def __init__(self):
self.nlg = NLG(user_name=my_name)
self.speech = Speech(launch_phrase=launch_phrase, debugger_enabled=debugger_enabled)
self.knowledge = Knowledge(weather_api_token)
self.vision = Vision(camera=camera)
def start(self):
"""
Main loop. Waits for the launch phrase, then decides an action.
:return:
"""
while True:
requests.get("http://localhost:8080/clear")
if self.vision.recognize_face():
print "Found face"
if use_launch_phrase:
recognizer, audio = self.speech.listen_for_audio()
if self.speech.is_call_to_action(recognizer, audio):
self.__acknowledge_action()
self.decide_action()
else:
self.decide_action()
def decide_action(self):
"""
Recursively decides an action based on the intent.
:return:
"""
recognizer, audio = self.speech.listen_for_audio()
# received audio data, now we'll recognize it using Google Speech Recognition
speech = self.speech.google_speech_recognition(recognizer, audio)
#speech = "can you show me a map of Pune"
#print speech
if speech is not None:
try:
r = requests.get('https://api.wit.ai/message?v=20160918&q=%s' % speech,
headers={"Authorization": wit_ai_token})
print r.text
json_resp = json.loads(r.text)
entities = None
intent = None
Status_Type = None
if 'entities' in json_resp and 'Intent' in json_resp['entities']:
entities = json_resp['entities']
intent = json_resp['entities']['Intent'][0]["value"]
print intent
if 'Status_Type' in json_resp['entities'] :
entities = json_resp['entities']
Status_Type = json_resp['entities']['Status_Type'][0]["value"]
#print Status_Type
if Status_Type is not None:
self.__module_action(entities)
return
if intent == 'greeting':
self.__text_action(self.nlg.greet())
elif intent == 'snow white':
self.__text_action(self.nlg.snow_white())
elif intent == 'weather':
self.__weather_action(entities)
elif intent == 'news':
self.__news_action()
elif intent == 'maps':
self.__maps_action(entities)
elif intent == 'youtube':
self.__youtube_action(entities)
#if self.vision.recognize_face():
# print "Found face"
elif intent == 'zomato':
self.__zomato_action(entities)
elif intent == 'uber':
self.__uber_action(entities)
elif intent == 'holidays':
self.__holidays_action()
elif intent == 'appearance':
self.__appearance_action()
elif intent == 'user status':
self.__user_status_action(entities)
elif intent == 'user name':
self.__user_name_action()
elif intent == 'personal status':
self.__personal_status_action()
elif intent == 'joke':
self.__joke_action()
elif intent == 'insult':
self.__insult_action()
return
elif intent == 'appreciation':
self.__appreciation_action()
return
elif intent == 'location':
self.__location_action()
return
elif intent =='sleep':
self.__sleep(5)
return
elif intent is None:
self.__hound_action(speech)
return
else:
self.__text_action("I'm sorry, I don't know about that yet.")
return
#time.sleep(20)
except Exception as e:
print "Failed wit!"
print(e)
traceback.print_exc()
self.__text_action("I'm sorry, I couldn't understand what you meant by that")
return
self.decide_action()
def __joke_action(self):
joke = self.nlg.joke()
if joke is not None:
self.__text_action(joke)
else:
self.__text_action("I couldn't find any jokes")
def __sleep(self,num):
while True:
print('Before: %s' % time.ctime())
time.sleep(num)
print('After: %s\n' % time.ctime())
try:
sleeper()
except KeyboardInterrupt:
print('\n\nKeyboard exception received. Exiting.')
exit()
def __user_status_action(self, nlu_entities=None):
attribute = None
if (nlu_entities is not None) and ("Status_Type" in nlu_entities):
attribute = nlu_entities['Status_Type'][0]['value']
self.__text_action(self.nlg.user_status(attribute=attribute))
def __user_name_action(self):
if self.nlg.user_name is None:
self.__text_action("I don't know your name. You can configure it in bot.py")
self.__text_action(self.nlg.user_name)
def __appearance_action(self):
requests.get("http://localhost:8080/face")
def __appreciation_action(self):
self.__text_action(self.nlg.appreciation())
def __acknowledge_action(self):
self.__text_action(self.nlg.acknowledge())
def __insult_action(self):
self.__text_action(self.nlg.insult())
def __personal_status_action(self):
self.__text_action(self.nlg.personal_status())
def __text_action(self, text=None):
if text is not None:
requests.get("http://localhost:8080/statement?text=%s" % text)
self.speech.synthesize_text(text)
def __news_action(self):
headlines = self.knowledge.get_news()
if headlines:
requests.post("http://localhost:8080/news", data=json.dumps({"articles":headlines}))
self.speech.synthesize_text(self.nlg.news("past"))
interest = self.nlg.article_interest(headlines)
if interest is not None:
self.speech.synthesize_text(interest)
else:
self.__text_action("I had some trouble finding news for you")
def __weather_action(self, nlu_entities=None):
current_dtime = datetime.datetime.now()
skip_weather = False # used if we decide that current weather is not important
weather_obj = self.knowledge.find_weather()
temperature = weather_obj['temperature']
icon = weather_obj['icon']
wind_speed = weather_obj['windSpeed']
weather_speech = self.nlg.weather(temperature, current_dtime, "present")
forecast_speech = None
if nlu_entities is not None:
if 'datetime' in nlu_entities:
if 'grain' in nlu_entities['datetime'][0] and nlu_entities['datetime'][0]['grain'] == 'day':
dtime_str = nlu_entities['datetime'][0]['value'] # 2016-09-26T00:00:00.000-07:00
dtime = dateutil.parser.parse(dtime_str)
if current_dtime.date() == dtime.date(): # hourly weather
forecast_obj = {'forecast_type': 'hourly', 'forecast': weather_obj['daily_forecast']}
forecast_speech = self.nlg.forecast(forecast_obj)
elif current_dtime.date() < dtime.date(): # sometime in the future ... get the weekly forecast/ handle specific days
forecast_obj = {'forecast_type': 'daily', 'forecast': weather_obj['weekly_forecast']}
forecast_speech = self.nlg.forecast(forecast_obj)
skip_weather = True
if 'Weather_Type' in nlu_entities:
weather_type = nlu_entities['Weather_Type'][0]['value']
print weather_type
if weather_type == "current":
forecast_obj = {'forecast_type': 'current', 'forecast': weather_obj['current_forecast']}
forecast_speech = self.nlg.forecast(forecast_obj)
elif weather_type == 'today':
forecast_obj = {'forecast_type': 'hourly', 'forecast': weather_obj['daily_forecast']}
forecast_speech = self.nlg.forecast(forecast_obj)
elif weather_type == 'tomorrow' or weather_type == '3 day' or weather_type == '7 day':
forecast_obj = {'forecast_type': 'daily', 'forecast': weather_obj['weekly_forecast']}
forecast_speech = self.nlg.forecast(forecast_obj)
skip_weather = True
weather_data = {"temperature": temperature, "icon": icon, 'windSpeed': wind_speed, "hour": datetime.datetime.now().hour}
requests.post("http://localhost:8080/weather", data=json.dumps(weather_data))
if not skip_weather:
self.speech.synthesize_text(weather_speech)
if forecast_speech is not None:
self.speech.synthesize_text(forecast_speech)
def __maps_action(self, nlu_entities=None):
location = None
map_type = None
if nlu_entities is not None:
if 'location' in nlu_entities:
location = nlu_entities['location'][0]["value"]
#location = nlu_entities['search_query'][0]["value"]
else:
location = nlu_entities['search_query'][0]["value"]
if "Map_Type" in nlu_entities:
map_type = nlu_entities['Map_Type'][0]["value"]
if location is not None:
maps_url = self.knowledge.get_map_url(location, map_type)
maps_action = "Sure. Here's a map of %s." % location
body = {'url': maps_url}
requests.post("http://localhost:8080/image",data=json.dumps(body))
self.speech.synthesize_text(maps_action)
else:
self.__text_action("I'm sorry, I couldn't understand what location you wanted.")
def __location_action(self, url=None):
url_g = self.knowledge.get_ip()
print url_g
if url_g is not None:
speak = "You are in this location"
print speak
body = {'url':url_g}
requests.post("http://localhost:8080/image",data=json.dumps(body))
self.speech.synthesize_text(speak)
else:
self.__text_action("sorry i am a dumb bitch bro.")
#if url is not None:
# speak = "You are in this location"
## request.post("http://localhost:8080/image", data=json.dumps(body))
# self.speech.synthesize_text(speak)
# else:
# self.__text_action("I'm sorry, I couldn't find your location.")
def __youtube_action(self, nlu_entities=None): #created by raghv_IIT
video = None
DEVELOPER_KEY = "AIzaSyCpx2tKaiqlI6p7xgpCXKhiw3NZHb0mXhI" #add developer key
YOUTUBE_API_SERVICE_NAME = "youtube"
YOUTUBE_API_VERSION = "v3"
if nlu_entities is not None:
if 'search_query' in nlu_entities:
video = nlu_entities['search_query'][0]["value"]
if video is not None:
youtube = build(YOUTUBE_API_SERVICE_NAME, YOUTUBE_API_VERSION,
developerKey=DEVELOPER_KEY)
''' Whether you are using simple or authorized API access,
you use the build() function to create a service object.
It takes an API name and API version as arguments.'''
search_response = youtube.search().list(
q=video,
part="id,snippet",
).execute()
'''The search.list method enables you to search for YouTube videos, channels, or playlists that match specified criteria. '''
for search_result in search_response.get("items"):
if search_result["id"]["kind"] == "youtube#video":
id= search_result["id"]["videoId"]
ch_title = search_result["snippet"]["channelTitle"]
title = search_result["snippet"]["title"]
break;
thumb = search_result["snippet"]["thumbnails"]["medium"]
for search_result in search_response.get("items"):
thumb = search_result["snippet"]["thumbnails"]["medium"]
break;
print id
#print thumb
videou = "https://www.youtube.com/embed/" + id + "?autoplay=1&controls=1"
#print videou
youtube_action = "Sure. Here's a video of %s." % video
body = {'url': videou, 'channel': ch_title, 'thumb':thumb, 'titles':title}
requests.post("http://localhost:8080/video", data=json.dumps(body))
self.speech.synthesize_text(youtube_action)
time.sleep(8)
else:
self.__text_action("I'm sorry, I couldn't understand what video you wanted.")
def __zomato_action(self, nlu_entities=None):
if nlu_entities is not None:
if 'location' in nlu_entities:
entities=nlu_entities['location'][0]["value"]
print entities
response= requests.get('https://maps.googleapis.com/maps/api/geocode/json?address=%s&key=' %entities) #inset google maps key here
resp_json_payload = response.json()
lat=(resp_json_payload['results'][0]['geometry']['location']['lat'])
lng=(resp_json_payload['results'][0]['geometry']['location']['lng'])
print lat
print lng
locationUrlFromLatLong = "https://developers.zomato.com/api/v2.1/geocode?lat=%s&lon=%s" %(lat,lng)
header = {"Accept": "application/json", "user_key": ""} #add user key
response = requests.get(locationUrlFromLatLong, headers=header)
restaurants=(response.json().get("nearby_restaurants"))
name = []
rating = []
avgcost = []
for restaurant in restaurants:
name.append(restaurant['restaurant']['name'])
avgcost.append(restaurant['restaurant']['average_cost_for_two'])
rating.append(restaurant['restaurant']['user_rating']['aggregate_rating'])
#print name
zomato_data = {"cabtype": name, 'maxfare': avgcost, "minfare": rating}
uber_action = "Sure. Here are some results"
requests.post("http://localhost:8080/zomato", data=json.dumps(zomato_data))
#self.speech.synthesize_text(uber_action)
self.speech.synthesize_text(uber_action)
else:
self.__text_action("I'm sorry, I couldn't understand what restaurant you wanted.")
def __uber_action(self, nlu_entities=None):
uber = None
if nlu_entities is not None:
if 'location' in nlu_entities:
entities3=nlu_entities['search_query'][0]["value"]
entities1=nlu_entities['location'][0]["value"]
entities2=nlu_entities['location'][1]["value"]
print entities3
print entities1
print entities2
if entities1 and entities2 is not None:
response= requests.get('https://maps.googleapis.com/maps/api/geocode/json?address=%s&key=' %entities1) #add key
resp_json_payload = response.json()
lat1=(resp_json_payload['results'][0]['geometry']['location']['lat'])
lng1=(resp_json_payload['results'][0]['geometry']['location']['lng'])
response = requests.get('https://maps.googleapis.com/maps/api/geocode/json?address=%s&key=' %entities2) #add key
resp_json_payload = response.json()
lat2=(resp_json_payload['results'][0]['geometry']['location']['lat'])
lng2=(resp_json_payload['results'][0]['geometry']['location']['lng'])
oauth2credential = OAuth2Credential(
client_id='', #add client id
access_token='', #get access token
expires_in_seconds= '2592000',
scopes='all_trips delivery history history_lite places profile request request_receipt ride_widgets',
grant_type='authorization_code',
redirect_url='', #add redirect_url
client_secret='', #add client secret
refresh_token='', # add refresh token
)
session = Session(oauth2credential=oauth2credential)
client = UberRidesClient(session, sandbox_mode=True)
print (client)
response = client.get_products(lat1, lng1)
credentials = session.oauth2credential
#print (response)
response = client.get_user_profile()
profile = response.json
# response_uber = client.get_price_estimates(
# start_latitude=lat1,
# start_longitude=lng1,
# end_latitude=lat2,
# end_longitude=lng2,
# seat_count=1
# )
# estimate = response_uber.json.get('prices')
# print estimate[0]['high_estimate']
# print estimate[0]['low_estimate']
# print estimate[0]['localized_display_name']
# print estimate[0]['currency_code']
# currency = estimate[0]['currency_code']
# hi_est = str(estimate[0]['high_estimate']) + str(estimate[0]['currency_code'])
# low_est = str(estimate[0]['low_estimate']) + str(estimate[0]['currency_code'])
# type_cab = estimate[0]['localized_display_name']
# print estimate[0]
response = client.get_products(lat1, lng1)
products = response.json.get('products')
#print(products)
if entities3 == 'Uber go':
for i in range(1,5):
if products[i]['display_name']=='uberGO':
product_id = products[i].get('product_id')
type_cab = products[i].get('display_name')
elif entities3 == 'Uber pool':
for i in range(1,5):
if products[i]['display_name']=='POOL':
product_id = products[i].get('product_id')
type_cab = products[i].get('display_name')
else:
product_id = products[0].get('product_id')
type_cab = products[0].get('display_name')
estimate = client.estimate_ride(
product_id=product_id,
start_latitude=lat1,
start_longitude=lng1,
end_latitude=lat2,
end_longitude=lng2,
seat_count=1
)
fare = estimate.json.get('fare')
bas = fare['display']
client.cancel_current_ride()
response = client.request_ride(
product_id=product_id,
start_latitude=lat1,
start_longitude=lng1,
end_latitude=lat2,
end_longitude=lng2,
seat_count=1,
fare_id=fare['fare_id']
)
request = response.json
print request
request_id = request.get('request_id')
url = 'https://sandbox-api.uber.com/v1.2/sandbox/requests/' + request_id
ur = 'https://sandbox-api.uber.com/v1.2/requests/' + request_id + '/map'
token = "" #insert token
data = {
"status": "accepted"
}
headers = {'Authorization': 'Bearer ' + token, "Content-Type": "application/json"}
#Call REST API
respons = requests.put(url, data=json.dumps(data), headers=headers)
respon = requests.get(ur, headers=headers)
response = client.get_ride_details(request_id)
ride = response.json
print ride
status = ride.get('status')
dri_name = ride.get('driver').get('name')
dri_pic = ride.get('driver').get('picture_url')
eta = ride.get('destination').get('eta')
car_pix = ride.get('vehicle').get('picture_url')
# product_name1 = products[3]['display_name'] #GO
# product_nam2 = products[2]['display_name'] #POOL
uber_action = "Sure. Booking your uber from %s to %s. Your cab type is %s and estimated time of arrival is %s and fare will be approx %s" % (entities1, entities2, type_cab, eta, bas)
cab_data = {"cabtype": type_cab, 'maxfare': bas, "minfare": eta, 'to': entities2, 'from': entities1, 'status':status, 'driver': dri_name, 'pic': dri_pic, 'car': car_pix, 'map':ur}
#print cab_data
requests.post("http://localhost:8080/cab", data=json.dumps(cab_data))
self.speech.synthesize_text(uber_action)
else:
self.__text_action("I'm sorry, I don't think that their is any cab available between these two locations.")
def __holidays_action(self):
holidays = self.knowledge.get_holidays()
print holiday
next_holiday = self.__find_next_holiday(holidays)
requests.post("http://localhost:8080/holidays", json.dumps({"holiday": next_holiday}))
self.speech.synthesize_text(self.nlg.holiday(next_holiday['localName']))
def __find_next_holiday(self, holidays):
today = datetime.datetime.now()
for holiday in holidays:
date = holiday['date']
if (date['day'] > today.day) and (date['month'] > today.month):
return holiday
# next year
return holidays[0]
def __module_action(self, nlu_entities=None):
if nlu_entities is not None:
Status_Type = nlu_entities['Status_Type'][0]["value"]
if 'search_query' in nlu_entities:
video = nlu_entities['search_query'][0]["value"]
print video
body = {'url': video, 'sta': Status_Type}
print body
requests.post("http://localhost:8080/module", data=json.dumps(body))
print 'Joshua'
self.speech.synthesize_text("sure")
def __hound_action(self, speech=None):
if speech is not None:
clientId = "" #get client id from houndify
clientKey = "" #insert client key
userId = "test_user"
requestInfo = {
"Latitude": 18.5679,
"Longitude": 73.9143
}
client = houndify.TextHoundClient(clientId, clientKey, userId, requestInfo)
response = client.query(speech)
#conversationState = response["AllResults"][0]["ConversationState"]
#client.setConversationState(conversationState)
command = response["AllResults"][0]["WrittenResponseLong"]
spoken = response["AllResults"][0]["SpokenResponseLong"]
name = []
rating = []
avgcost = []
url = []
print
if "Template" in response["AllResults"][0]["ViewType"]:
if len(response["AllResults"][0]["TemplateData"]["Items"]) > 8:
for item in range(0,10):
if 'Title' in response["AllResults"][0]["TemplateData"]["Items"][item]["TemplateData"]:
name.append(response["AllResults"][0]["TemplateData"]["Items"][item]["TemplateData"]["Title"])
if 'Subtitle' in response["AllResults"][0]["TemplateData"]["Items"][item]["TemplateData"]:
rating.append(response["AllResults"][0]["TemplateData"]["Items"][item]["TemplateData"]["Subtitle"])
if 'BodyText' in response["AllResults"][0]["TemplateData"]["Items"][item]["TemplateData"]:
avgcost.append(response["AllResults"][0]["TemplateData"]["Items"][item]["TemplateData"]["BodyText"])
if 'URL' in response["AllResults"][0]["TemplateData"]["Items"][item]["TemplateData"]["Image"]:
url.append(response["AllResults"][0]["TemplateData"]["Items"][item]["TemplateData"]["Image"][ "URL"])
hound_data = {"title": name, 'subtitle': rating, "details": avgcost, "url": url, "command": command}
requests.post("http://localhost:8080/other", data=json.dumps(hound_data))
else:
requests.post("http://localhost:8080/other", data=json.dumps(command))
#requests.get("http://localhost:8080/statement?text=%s" % text)
#self.speech.synthesize_text(text)
else:
requests.post("http://localhost:8080/other", data=json.dumps(command))
self.speech.synthesize_text(spoken)
self.decide_action()
# if conversationState is not None:
# recognizer, audio = self.speech.listen_for_audio()
# # received audio data, now we'll recognize it using Google Speech Recognition ## SOUNHOUND Converstaion state
# speech = self.speech.google_speech_recognition(recognizer, audio)
# response = client.query(speech)
# if response["AllResults"][0]["WrittenResponseLong"] == "Didn't get that!" :
# self.decide_action()
# command = response["AllResults"][0]["WrittenResponseLong"]
# spoken = response["AllResults"][0]["SpokenResponseLong"]
# #requests.get("http://localhost:8080/statement?text=%s" % text)
# #self.speech.synthesize_text(text)
# requests.post("http://localhost:8080/other", data=json.dumps(command))
# #self.speech.synthesize_text(spoken)
if __name__ == "__main__":
bot = Bot()
bot.start()