Exemplo n.º 1
0
 def get(self):
     self.response.write(json.dumps(get_langs()))
Exemplo n.º 2
0
    def post(self):
        game_key = ndb.Key(urlsafe=self.request.get('game_key'))
        logging.info("Handling log of game {}".format(game_key.id()))
        if game_key.kind() not in ('GameLog', 'GameHistory'):
            self.abort(200)
        log_db = game_key.get()
        if log_db is None:
            logging.error("Can't find game log")
            self.abort(200)
        is_legacy = game_key.kind() == 'GameHistory'
        try:
            words_orig, seen_words_time, words_outcome, explained_at_once, explained_pair, players_count, \
            start_timestamp, finish_timestamp = self.parse_history(log_db) if is_legacy else self.parse_log(log_db)
            if start_timestamp and finish_timestamp:
                self.update_game_len_prediction(
                    players_count, 'game', finish_timestamp - start_timestamp)
            bad_words_count = 0

            if 2 * len(seen_words_time) < len(words_orig):
                raise BadGameError('suspect_too_little_words')
            for k, v in seen_words_time.items():
                if v < 2:
                    bad_words_count += 1
            if 2 * bad_words_count > len(seen_words_time):
                raise BadGameError('suspect_too_quick_explanation')

            for word in words_orig:
                self.check_word(word)

            self.word_db = [
                GlobalDictionaryWord.get(word) for word in words_orig
            ]
            self.ratings = [
                TRUESKILL_ENVIRONMENT.create_rating(word.E, word.D)
                if word else None for word in self.word_db
            ]
            self.langs = get_langs()

            d = defaultdict(list)
            for word in seen_words_time:
                if explained_at_once[word] and words_outcome[word] == 'guessed':
                    d[explained_pair[word]].append(word)
            for l in d.values():
                l.sort(key=lambda item: -seen_words_time[item])
                self.rate(l)

            d.clear()
            for word in seen_words_time:
                if words_outcome[word] == 'guessed':
                    d[explained_pair[word][0]].append(word)
            for l in d.values():
                l.sort(key=lambda item: -seen_words_time[item])
                self.rate(l, coef=0.3)

            d.clear()
            for word in seen_words_time:
                if words_outcome[word] == 'guessed':
                    d[explained_pair[word][1]].append(word)
            for l in d.values():
                l.sort(key=lambda item: -seen_words_time[item])
                self.rate(l, coef=0.8)

            words = []
            for word in seen_words_time:
                if words_outcome[word] == 'guessed':
                    words.append(word)
            words.sort(key=lambda item: -seen_words_time[item])
            self.rate(words, coef=0.6)

            for i in range(len(words_orig)):
                if i in seen_words_time:
                    self.update_word(words_orig[i], words_outcome[i],
                                     seen_words_time[i], self.ratings[i],
                                     game_key)

            if start_timestamp:
                start_timestamp //= 1000
                log_db.time = datetime.datetime.fromtimestamp(start_timestamp)
                log_db.put()
                if finish_timestamp:
                    finish_timestamp //= 1000
                    duration = finish_timestamp - start_timestamp
                else:
                    duration = 0
                game_date = get_date(start_timestamp)
                self.update_daily_statistics(game_date, len(seen_words_time),
                                             players_count, duration)
            self.update_total_statistics(len(seen_words_time), start_timestamp)
            if players_count:
                self.update_statistics_by_player_count(players_count)
            memcache.delete_multi([
                "danger_top", "words_top", "words_bottom", "used_words_count"
            ])
        except BadGameError as e:
            if isinstance(e, BadGameError):
                reason = e.reason
            else:
                reason = 'format-error'
            log_db.ignored = True
            log_db.reason = reason
            log_db.put()
            logging.warning(
                "Did not handle and marked this game as ignored: {}".format(
                    log_db.reason))
            self.abort(200)
Exemplo n.º 3
0
 def get(self):
    self.response.write(json.dumps(get_langs()))
Exemplo n.º 4
0
    def post(self):
        game_key = ndb.Key(urlsafe=self.request.get('game_key'))
        logging.info("Handling log of game {}".format(game_key.id()))
        if game_key.kind() not in ('GameLog', 'GameHistory'):
            self.abort(200)
        log_db = game_key.get()
        if log_db is None:
            logging.error("Can't find game log")
            self.abort(200)
        is_legacy = game_key.kind() == 'GameHistory'
        try:
            words_orig, seen_words_time, words_outcome, explained_at_once, explained_pair, players_count,\
                start_timestamp, finish_timestamp = self.parse_history(log_db) if is_legacy else self.parse_log(log_db)
            if start_timestamp and finish_timestamp:
                self.update_game_len_prediction(players_count, 'game', finish_timestamp - start_timestamp)
            bad_words_count = 0

            if 2*len(seen_words_time) < len(words_orig):
                raise BadGameError('suspect_too_little_words')
            for k, v in seen_words_time.items():
                if v < 2:
                    bad_words_count += 1
            if 2*bad_words_count > len(seen_words_time):
                raise BadGameError('suspect_too_quick_explanation')

            for word in words_orig:
                self.check_word(word)

            self.word_db = [GlobalDictionaryWord.get(word) for word in words_orig]
            self.ratings = [TRUESKILL_ENVIRONMENT.create_rating(word.E, word.D) if word else None for word in self.word_db]
            self.langs = get_langs()

            d = defaultdict(list)
            for word in seen_words_time:
                if explained_at_once[word] and words_outcome[word] == 'guessed':
                    d[explained_pair[word]].append(word)
            for l in d.values():
                l.sort(key=lambda item: -seen_words_time[item])
                self.rate(l)

            d.clear()
            for word in seen_words_time:
                if words_outcome[word] == 'guessed':
                    d[explained_pair[word][0]].append(word)
            for l in d.values():
                l.sort(key=lambda item: -seen_words_time[item])
                self.rate(l, coef=0.3)

            d.clear()
            for word in seen_words_time:
                if words_outcome[word] == 'guessed':
                    d[explained_pair[word][1]].append(word)
            for l in d.values():
                l.sort(key=lambda item: -seen_words_time[item])
                self.rate(l, coef=0.8)

            words = []
            for word in seen_words_time:
                if words_outcome[word] == 'guessed':
                    words.append(word)
            words.sort(key=lambda item: -seen_words_time[item])
            self.rate(words, coef=0.6)

            for i in range(len(words_orig)):
                if i in seen_words_time:
                    self.update_word(words_orig[i], words_outcome[i], seen_words_time[i], self.ratings[i], game_key)

            if start_timestamp:
                start_timestamp //= 1000
                log_db.time = datetime.datetime.fromtimestamp(start_timestamp)
                log_db.put()
                if finish_timestamp:
                    finish_timestamp //= 1000
                    duration = finish_timestamp - start_timestamp
                else:
                    duration = 0
                game_date = get_date(start_timestamp)
                self.update_daily_statistics(game_date, len(seen_words_time), players_count, duration)
            self.update_total_statistics(len(seen_words_time), start_timestamp)
            if players_count:
                self.update_statistics_by_player_count(players_count)
            memcache.delete_multi(["danger_top", "words_top", "words_bottom", "used_words_count"])
        except BadGameError as e:
            if isinstance(e, BadGameError):
                reason = e.reason
            else:
                reason = 'format-error'
            log_db.ignored = True
            log_db.reason = reason
            log_db.put()
            logging.warning("Did not handle and marked this game as ignored: {}".format(log_db.reason))
            self.abort(200)