def intentIdentifier(clean_input, context,current_intent):
clean_input = clean_input.lower()
#Scoring Algorithm, can be changed.
scores = ngrammatch(clean_input)
#choosing here the intent with the highest score
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
# print clean_input
#print 'scores', scores
if(current_intent==None):
#if(clean_input=="search"):
# return loadIntent('params/newparams.cfg', 'SearchStore')
if(clean_input=='selectrestro'):
print('selectrestro intent')
return loadIntent('params/newparams.cfg','RestroSelect')
if(clean_input=='BuyBook'):
#print('BuyBook intent')
return loadIntent('params/newparams.cfg','BuyBook')
else:
#print('ngrams intent')
return loadIntent('params/newparams.cfg',scores[-1][0])
#return loadIntent('params/newparams.cfg','BuyBook')
else:
#If current intent is not none, stick with the ongoing intent
return current_intent
def intentIdentifier(clean_input, context, current_intent):
#Identifying the intent to be performed with the help of ngram match
clean_input = clean_input.lower()
#ngram match algorithm which gives a score of how close the user input matches with each intents available.
scores = ngrammatch(clean_input)
#choosing here the intent with the highest score
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
if (current_intent == None):
#primary keys for determining the action
restaurant_keyword = [
'restaurant', 'food court', 'cafe', 'hotel', 'dining room',
'canteen', 'eatery', 'hungry'
]
vegetables_keyword = [
'vegetables', 'vegetable', 'fruit', 'fruits', 'leafy'
]
#with the help of a few straigtforward keywords from user input the intent is directly matched.
for i in range(len(restaurant_keyword)):
if (restaurant_keyword[i] in clean_input):
return loadIntent('params/newparams.cfg', 'BookRestaurant')
for i in range(len(vegetables_keyword)):
if (vegetables_keyword[i] in clean_input):
return loadIntent('params/newparams.cfg', 'BuyVegetables')
else:
#if no straigtforward keyword is found in userinput then ngramscore is used to decide up on the intent.
if (scores[-1][1] > 0.1):
return loadIntent('params/newparams.cfg', scores[-1][0])
else:
return None
else:
#If current intent is not none, stick with the ongoing intent
return current_intent
def intentIdentifier(clean_input, context,current_intent):
clean_input = clean_input.lower()
scores = ngrammatch(clean_input)
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
if((current_intent==None) and (scores[-1][1] > 0.02)):
return loadIntent('params/Movie_Restaurants_Params.cfg',scores[-1][0])
else:
# 'same intent'
return current_intent
def intentIdentifier(clean_input, context, current_intent):
clean_input = clean_input.lower()
scores = ngrammatch(clean_input)
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
if DEBUG_LEVEL >= DEBUG_LEVEL_DBG:
print('Clean Input: ', clean_input)
print('Scores:', scores)
if (current_intent == None):
return loadIntent('params/newparams.cfg', scores[-1][0])
else:
# print 'same intent'
return current_intent
def intentIdentifier(clean_input, context,current_intent):
clean_input = clean_input.lower()
scores = ngrammatch(clean_input)
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
if(current_intent==None):
if(clean_input=='book'):
return loadIntent('params/skills.cfg','LibraryBook')
if(clean_input=='restaurant'):
return loadIntent('params/skills.cfg','Restaurant')
else:
return loadIntent('params/skills.cfg',scores[-1][0])
else:
#print 'same intent'
return current_intent
def intentIdentifier(clean_input, context, current_intent):
clean_input = clean_input.lower()
scores = ngrammatch(clean_input)
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
# print clean_input
#print 'scores', scores
if (current_intent == None):
if (clean_input == "search"):
return loadIntent('params/newparams.cfg', 'SearchStore')
if (clean_input == 'book'):
return loadIntent('params/newparams.cfg', 'OrderBook')
else:
return loadIntent('params/newparams.cfg', scores[-1][0])
else:
#print 'same intent'
return current_intent
def intentIdentifier(clean_input, context, current_intent):
clean_input = clean_input.lower()
scores = ngrammatch(clean_input)
scores = sorted(scores, key=lambda tup: tup[1])
# print clean_input
#print 'scores', scores
if (current_intent == None):
if (re.search(RESTAURANT_REGEX, clean_input)):
return loadIntent('params/newparams.cfg', 'RestaurantBooking')
if (re.search(HOTEL_REGEX, clean_input)):
return loadIntent('params/newparams.cfg', 'HotelBooking')
else:
return loadIntent('params/newparams.cfg', scores[-1][0])
else:
#print 'same intent'
return current_intent
def intentIdentifier(clean_input, context, current_intent):
clean_input = clean_input.lower()
scores = ngrammatch(clean_input)
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
# print clean_input
# print 'scores', scores
if current_intent is None:
if 'create' in clean_input and 'ticket' in clean_input:
return loadIntent('params/newparams.cfg', 'CreateTicket')
if 'ticket' in clean_input:
return loadIntent('params/newparams.cfg', 'TicketSearch')
if 'restaurant' in clean_input:
return loadIntent('params/newparams.cfg', 'RestaurantSearch')
else:
return loadIntent('params/newparams.cfg', scores[-1][0])
else:
# print 'same intent'
return current_intent
def intentIdentifier(clean_input, context, current_intent):
clean_input = clean_input.lower()
if (current_intent != 'Reset' and current_intent != None):
return current_intent
#Scoring Algorithm, can be changed.
scores = ngrammatch(clean_input)
#choosing here the intent with the highest score
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
# print clean_input
#print 'scores', scores
newIntent = loadIntent('params/newparams.cfg', scores[-1][0])
if (newIntent.name == 'Reset'):
return newIntent
if (current_intent == None):
return newIntent
else:
#If current intent is not none, stick with the ongoing intent
return current_intent
def intentIdentifier(clean_input, context,current_intent):
# print(clean_input, context,current_intent)
clean_input = clean_input.lower()
#Scoring Algorithm, can be changed.
scores = ngrammatch(clean_input)
#choosing here the intent with the highest score
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
# print('clean_input',clean_input)
# print('scores', scores)
if(current_intent==None):
if(clean_input=="restaurant"):
return loadIntent('params/newparams.cfg', 'StoreSearch')
if(clean_input=='mobile'):
return loadIntent('params/newparams.cfg','OrderBook')
else:
return loadIntent('params/newparams.cfg',scores[-1][0])
else:
#If current intent is not none, stick with the ongoing intent
return current_intent
def intentIdentifier(clean_input, context, current_intent):
clean_input = clean_input.lower()
#print(clean_input)
#Scoring Algorithm, can be changed.
scores = ngrammatch(clean_input)
#choosing here the intent with the highest score
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
#using KNN to get the intent class
intentclass, probabilities = predict_class(clean_input)
#printing the probabilities of ngram and KNN
print(scores, intentclass, probabilities)
if (current_intent == None):
if (clean_input == "movie"):
return loadIntent('params/newparams.cfg', 'movieChoice')
elif (clean_input == "restaurant"):
return loadIntent('params/newparams.cfg', 'BookRestaurant')
else:
return loadIntent('params/newparams.cfg', intentclass)
else:
#If current intent is not none, stick with the ongoing intent
return current_intent
def intentIdentifier(clean_input, context, current_intent):
clean_input = clean_input.lower()
scores = ngrammatch(clean_input)
scores = sorted_by_second = sorted(scores, key=lambda tup: tup[1])
# print clean_input
# print 'scores', scores
return loadIntent('data/params/params.cfg', 'FlightSearch')
if (current_intent == "None"):
if (clean_input == "search"):
return loadIntent('data/params/params.cfg', 'FlightSearch')
if (clean_input == 'book'):
return loadIntent('data/params/params.cfg', 'FlightBook')
if (clean_input == 'track'):
return loadIntent('data/params/params.cfg', 'FlightTrack')
else:
if scores[-1][0].startswith('book'):
return loadIntent('data/params/params.cfg', 'FlightBook')
elif scores[-1][0].startswith('search'):
return loadIntent('data/params/params.cfg', 'FlightSearch')
else:
return loadIntent('data/params/params.cfg', 'FlightSearch')
else:
return current_intent
