def testCalculateAnswerRating(self):
original = 'profitable, moneymaking, remunerative'
# No match == -POINTS_PER_GUESS
res = calculateAnswerRating(original, '-')
self.assertEqual(-POINTS_PER_GUESS, res)
# One good match == POINTS_PER_GUESS
res = calculateAnswerRating(original, 'moneymaking, blah')
self.assertEqual(POINTS_PER_GUESS, res)
# One partially good match
res = calculateAnswerRating(original, 'profetabl')
self.assertTrue(POINTS_PER_GUESS, res)
# Full match PPGx1 + PPGx2 + PPGx3
res = calculateAnswerRating(original,\
'profitable,moneymaking,remunerative')
self.assertEqual(POINTS_PER_GUESS + 2 * POINTS_PER_GUESS + \
3 * POINTS_PER_GUESS, res)
# Full match with errors 80<= res <100
res = calculateAnswerRating(original, 'profitable,monemeking')
self.assertTrue(POINTS_PER_GUESS, res)
# One correct and one wrong
res = calculateAnswerRating(original, 'monemeking, expensive')
self.assertTrue(POINTS_PER_GUESS, res)
res = calculateAnswerRating(u"прокос, ряд, широкий профиль", \
u"прокос, полоса")
self.assertEqual(POINTS_PER_GUESS, res)
def processMessage(message):
today = datetime.date.today()
# You can get addressee name by checking current
# Twitter bot username, but this requires additional API call
twitter_user = message.sender_screen_name
# Get User
user = User.all().filter("twitter =", twitter_user).get()
# Exit if user is not registred. This is to avoid spam
if not user:
return
parsed_dict = parseMessage(message.text, message.recipient_screen_name)
# Exit if message is not a valid dict_entry format
if parsed_dict == {}:
return
question = checkForAnswer(parsed_dict, twitter_user)
# Check if message is an answer to a previously sent question
if question:
answer_rating = calculateAnswerRating(question.lli_ref.dict_entry.meaning,\
parsed_dict["meaning"])
question.answer_received = today
question.answer_rating = answer_rating
question.lli_ref.latest_answer_rating = answer_rating
question.answer_text = parsed_dict["meaning"]
question.put()
question.lli_ref.put()
if (user.total_points + answer_rating) > 0:
user.total_points = user.total_points + answer_rating
else:
user.total_points = 0
user.put()
# If answer_rating is very poor, we need to show correct answer right away
# else reschedule as normal accorsing to answer_rating
if answer_rating < 0:
question.lli_ref.next_serve_time = 0
question.lli_ref.next_serve_date = today
question.put()
question.lli_ref.put()
else:
rescheduleLearnListItem(question.lli_ref, answer_rating)
return
# If message is a valid dictionary entry -- save it to database
addNewWord(parsed_dict, user, message.id)
user.put()
