def pick_question(cls,questions_asked,facts,target):
#Picks a question to ask, using previous questions asked.
#TODO Check if lat/long is known
if True:
return 'None','None'
city_details = {}
city_details['latitude'] = 53.383611
city_details['longitude'] = -1.466944
outstanding_landmarks = [] #List of landmarks we know they know, but we don't know how far they are.
landmarks_done_already = []; #List of landmarks we know the distance to already
known_landmarks = []; #similar to landmarks_done_already but only includes ones we have answers for
known_distances = []; #the distances to the landmarks (in the same order)
for qa in questions_asked:
if qa['dataset']=='where': #if it is a landmark->where question
if qa['dataitem'] == 'landmark':
if qa['answer']=='yes':
outstanding_landmarks.append(int(qa['detail']));
landmarks_done_already.append(int(qa['detail']));
if qa['dataitem'] == 'landmarkdist':
outstanding_landmarks.remove(int(qa['detail']));
known_distances.append(float(qa['answer']));
known_landmarks.append(int(qa['detail']));
if (len(outstanding_landmarks)==0):
#pick a new landmark to ask about...
items = cls.overpass_query(city_details['latitude'],city_details['longitude'],0.4,'tourism', 'museum')
new_item = None
import trilateration
items,p,entropy = trilateration.sortLandmarks(items,known_landmarks,known_distances,landmarks_done_already)
if (len(items)>0):
new_item = items[0]
if new_item == None:
#no more places to ask about
return 'None', ''
return 'landmark',new_item.id
else:
return 'landmarkdist',outstanding_landmarks[0]
def pick_question(cls, questions_asked):
#Picks a question to ask, using previous questions asked.
#incity->yes
#incity->no --> city->name
#landmark->yes --> landmarkdist->distance
#landmark->no --> landmark...
#from the questions and answers so far given, do we...
know_city = False #...know the city where they are?
not_in_city = False #...know they aren't in the city we guessed (from their IP address)?
failed = False
city_details = {}
outstanding_landmarks = [] #List of landmarks we know they know, but we don't know how far they are.
landmarks_done_already = []; #List of landmarks we know the distance to already
known_landmarks = []; #similar to landmarks_done_already but only includes ones we have answers for
known_distances = []; #the distances to the landmarks (in the same order)
for qa in questions_asked:
if qa['dataset']=='where': #if it is a landmark->where question
if qa['dataitem']=='incity': #and it's asking if we're in a particular city
if qa['answer']=='no':
not_in_city = True
else:
answerdata = json.loads(qa['answer']) #TODO Handle ValueError exception
if answerdata['know']: #and the answer's yes
city_details = answerdata
know_city = True;
else:
not_in_city = True;
if qa['dataitem']=='city': #if we've asked which city they are in...
answerdata = json.loads(qa['answer'])
if answerdata['know']:
city_details = answerdata
know_city = True;
else:
know_city = False
failed = True #We've no idea where they are
if qa['dataitem'] == 'landmark':
if ohf.true_string(qa['answer']):
outstanding_landmarks.append(int(qa['detail']));
landmarks_done_already.append(int(qa['detail']));
if qa['dataitem'] == 'landmarkdist':
outstanding_landmarks.remove(int(qa['detail']));
known_distances.append(float(qa['answer']));
known_landmarks.append(int(qa['detail']));
if failed:
return 'None', '' #Give up: we can't create any sensible questions
if not know_city: #if we don't know the city we're in...
if not_in_city: #if we're not in the place we guessed using their IP, ask their city
return 'city',''
else: #if we don't know that, we need to ask if they're where their IP is.
url = 'https://freegeoip.net/json/';
try:
raw_json = urllib2.urlopen(url,timeout=3).readline() #TODO SECURITY VULNERABILITY: This json is from the net and needs sanitising before it goes in the db.
except urllib2.HTTPError:
raw_json = ''
return 'city',''
except urllib2.URLError:#time out?
raw_json = ''
return 'city',''
data = {}
json_loc = json.loads(raw_json)
data['latitude'] = json_loc['latitude']
data['longitude'] = json_loc['longitude']
data['city'] = json_loc['city']
#TODO: CACHE IN DB
return 'incity',json.dumps(data)
#at this point we should know the city.
if (len(outstanding_landmarks)==0):
#pick a new landmark to ask about...
#print "Find a new landmark to ask about.."
items = cls.overpass_query(city_details['latitude'],city_details['longitude'],0.4,'tourism', 'museum')
new_item = None
import trilateration
# items,p,entropy = trilateration.sortLandmarks(items,known_landmarks,known_distances)
items,p,entropy = trilateration.sortLandmarks(items,known_landmarks,known_distances,landmarks_done_already)
#print items
# for item in items:
# if not item.id in landmarks_done_already:
# new_item = item
# break #TODO delete old code
if (len(items)>0):
new_item = items[0]
if new_item == None:
#no more places to ask about
return 'None', ''
return 'landmark',new_item.id
else:
return 'landmarkdist',outstanding_landmarks[0]