コード例 #1
0
ファイル: webapp.py プロジェクト: helderm/shalk
    def post(self):
        body = json.loads(self.request.body)
        query = body['query']
        n = body['n']
        limit = body['limit']

        ngrams = Ngrams(db=self.db)
        res = ngrams.find(query=query, n=n, limit=limit)
        self.write(json.dumps(res))
コード例 #2
0
ファイル: tagging.py プロジェクト: Wailt/auditd-chronicle
def post_actions(seq, h=1, adres_slice=3):
    sessions = dict()
    nums = dict()

    for key in seq:
        sessions[key] = [(i[0][:adres_slice], i[1])
                         for i in sorted(seq[key], key=lambda x: x[1])]
        nums[key] = [
            i[1] for i in sorted(Counter(sessions[key]).items(),
                                 key=lambda x: x[0][1])
        ]
        sessions[key] = [
            i[0] for i in sorted(set(sessions[key]), key=lambda x: x[1])
        ]

    # ngrams
    print str(h) + 'grams'
    ng = Ngrams(sessions=sessions, n=h)

    # price-list
    vals = list(
        map(lambda x: (x[0], x[1] * 10**(len(x[0])) - 1), ng.ngrams.items()))
    tag_list = sorted(list(set(vals)), key=lambda x: x[1], reverse=True)

    # tagging
    res = actions(sessions, tag_list, ng)

    act = []
    for key in seq:
        superactions = []
        for i in range(len(res[key])):
            superactions += [res[key][i] for j in range(nums[key][i])]
        if len(seq[key]) > h:
            for j in range(len(seq[key])):
                i = seq[key][j]
                action = {
                    '_op_type': 'update',
                    u'_id': i[2],
                    u'_type': u'auditd-parent',
                    u'_index': u'wailt'
                }
                if superactions[j] == (-1, ):
                    superactions[j] = (-1, -1)
                action['doc'] = {
                    'action': superactions[j][0],
                    'action_separator': superactions[j][1]
                }
                act.append(action)
                if len(act) > 10000:
                    print 'acted'
                    bulk(es, actions=act)
                    act = []
    bulk(es, actions=act)
コード例 #3
0
ファイル: poem.py プロジェクト: helderm/shalk
class Poem(object):
    """
    Main class responsible for generating poems
    """

    QUERY_LIMIT = 1024 * 4

    def __init__(self, ptype='haiku', smoothing='backoff', db=None):
        self.ngrams = Ngrams(db)
        self.type = ptype
        self.smoothing = smoothing
        self.pattern = []

        if self.type == 'haiku':
            self.pattern = ['*****', '*******', '*****']
            self.rs = None

        if self.type == 'tanka':
            self.pattern = ['*****', '*******', '*****', '*******', '*******']
            self.rs = None

        if self.type == 'limerick':
            self.rs = 'AABBA'
            lengths = []
            lengths.append(randint(8, 11))
            lengths.append(randint(8, 11))
            lengths.append(randint(5, 7))
            lengths.append(randint(5, 7))
            lengths.append(randint(8, 11))
            for length in lengths:
                self.pattern.append('*' * length)

        if self.type == 'quatrain':
            mean = randint(5, 12)
            lengths = []
            for x in range(0, 3):
                lengths.append(randint(mean-1, mean+1))
            for length in lengths:
                self.pattern.append('*' * length)
            #What we're doing now is giving the AAAA rhyme scene a 1/5 chance of happening
            p = randint(0,3)
            if p == 0:
                self.rs = 'AAAA'
            if p == 1:
                self.rs = 'AABB'
            if p == 2:
                self.rs = 'ABAB'
            if p == 3:
                self.rs = 'ABBA'
        if self.type == 'spens_sonnet':
            mean = randint(7, 12)
            lengths = []
            for x in range(0, 13):
                lengths.append(randint(mean-1, mean+1))
            for length in lengths:
                self.pattern.append('*' * length)
            self.rs = 'ABABBCBCCDCDEE'
        if self.type == 'ital_sonnet':
            mean = randint(7, 12)
            lengths = []
            for x in range(0, 13):
                lengths.append(randint(mean-1, mean+1))
            for length in lengths:
                self.pattern.append('*' * length)
            octave = 'ABBAABA'
            sestet = ''
            p = randint(0,3)
            if p == 0:
                sestet = 'CDCDCD'
            if p == 1:
                sestet= 'CDDCDC'
            if p == 2:
                sestet = 'CDECDE'
            if p == 3:
                sestet = 'CDECED'
            self.rs = octave + sestet
        if self.type == 'shaks_sonnet':
            mean = randint(7, 12)
            lengths = []
            for x in range(0, 13):
                lengths.append(randint(mean-1, mean+1))
            for length in lengths:
                self.pattern.append('*' * length)
            self.rs = 'ABABCDCDEFEFGG'

        self.template = pt.PoemTemplate(self.pattern, self.rs)

    def generate(self):
        """
        Generates a new poem with a new rhyming and template
        """
        rhymesch = RhymeScheme(self.rs) if self.rs else None
        sentences = self.template.createTemplate()
        while len(sentences) == 0:
            sentences = self.template.createTemplate()

        text = ''
        chosen_words = []
        for sentence in sentences:
            for word in sentence:
                if not isinstance(word, pt.Word):
                    # if not Word, is a punctuation
                    text = text[:-1] + word + ' '
                    continue

                word.text = self._next_word(chosen_words, word, rhymesch)
                if not word.text or not len(word.text):
                    # TODO: throw this SENTENCE away, not the entire poem!!!
                    return

                text += word.text + ' '
                chosen_words.append(word)

            text += '\n'

        # final formatting fix
        text = text[0].upper() + text[1:-2] + '.\n'
        return text

    def _weighted_choice(self, choices):
        """ Choose one of the possible tuples """
        total = sum(w for c, w in choices)
        r = random.uniform(0, total)
        upto = 0
        for c, w in choices:
            if upto + w > r:
                return c
            upto += w
        return [], []

    def _weighted_tuples(self, listOfNGrams, key, multiplier=1):
        """ Weight each possible tuple by its frequency and by its multiplier """
        tuples = []
        for item in listOfNGrams:
            tuple = []
            tuple.append(item[key])
            tuple.append(multiplier * item[u'freq'])
            tuples.append(tuple)
        return tuples

    def _smoothed_generation(self, unigrams, bigrams=[], trigrams=[], fourgrams=[]):
        """ Returns the smoothed choice over all ngrams """
        if self.smoothing == 'linear':
            multiplierUnigrams = 1
            multiplierBigrams = 50
            multiplerTrigrams = 200
            multiplierFourgrams = 1000
            tuples1 = self._weighted_tuples(unigrams, u'word1', multiplierUnigrams)
            tuples2 = self._weighted_tuples(bigrams, u'word1', multiplierBigrams)
            tuples3 = self._weighted_tuples(trigrams, u'word2', multiplerTrigrams)
            tuples4 = self._weighted_tuples(fourgrams, u'word3', multiplierFourgrams)
            return self._weighted_choice(tuples1+tuples2+tuples3+tuples4)
        if self.smoothing == 'backoff':
            if(len(fourgrams) > 0):
                tuples4 = self._weighted_tuples(fourgrams, u'word3')
                return self._weighted_choice(tuples4)
            if(len(trigrams) > 0):
                tuples3 = self._weighted_tuples(trigrams, u'word2')
                return self._weighted_choice(tuples3)
            if(len(bigrams) > 0):
                tuples2 = self._weighted_tuples(bigrams, u'word1')
                return self._weighted_choice(tuples2)
            tuples1 = self._weighted_tuples(unigrams, u'word1')
            if (len(unigrams) > 0):
                tuples1 = self._weighted_tuples(unigrams, u'word1')
                return self._weighted_choice(tuples1)

        return []

    def _next_word(self, words, nextword, rhymesch):
        """ Fetch the next word of the poem """
        N = len(words)
        query = {}

        # if end of line, we need to add the rhyme constraint to the queries
        if nextword.rhyme != '*' and rhymesch:
            rhyme = rhymesch.get_rhyme(nextword.rhyme)
            query['rhyme'] = rhyme

        query['syllables'] = nextword.syllables
        query['type'] = nextword.typespeech
        unigrams = self.ngrams.find(query, n=2, limit=Poem.QUERY_LIMIT)

        if(N<=1):
            choice = self._smoothed_generation(unigrams)
            if len(choice) == 0:
                return []
            return choice

        query['word0'] = words[N-1].text
        bigrams = self.ngrams.find(query, n=2, limit=Poem.QUERY_LIMIT)

        if(N<=2):
            choice = self._smoothed_generation(unigrams, bigrams)
            return choice

        query['word0'] = words[N-2].text
        query['word1'] = words[N-1].text
        trigrams = self.ngrams.find(query, n=3, limit=Poem.QUERY_LIMIT)
        if(N<=3):
            choice = self._smoothed_generation(unigrams, bigrams, trigrams)
            return choice

        query['word0'] = words[N-3].text
        query['word1'] = words[N-2].text
        query['word2'] = words[N-1].text
        fourgrams = self.ngrams.find(query, n=4, limit=Poem.QUERY_LIMIT)
        choice = self._smoothed_generation(unigrams, bigrams, trigrams, fourgrams)

        return choice
コード例 #4
0
ファイル: poem.py プロジェクト: helderm/shalk
    def __init__(self, ptype='haiku', smoothing='backoff', db=None):
        self.ngrams = Ngrams(db)
        self.type = ptype
        self.smoothing = smoothing
        self.pattern = []

        if self.type == 'haiku':
            self.pattern = ['*****', '*******', '*****']
            self.rs = None

        if self.type == 'tanka':
            self.pattern = ['*****', '*******', '*****', '*******', '*******']
            self.rs = None

        if self.type == 'limerick':
            self.rs = 'AABBA'
            lengths = []
            lengths.append(randint(8, 11))
            lengths.append(randint(8, 11))
            lengths.append(randint(5, 7))
            lengths.append(randint(5, 7))
            lengths.append(randint(8, 11))
            for length in lengths:
                self.pattern.append('*' * length)

        if self.type == 'quatrain':
            mean = randint(5, 12)
            lengths = []
            for x in range(0, 3):
                lengths.append(randint(mean-1, mean+1))
            for length in lengths:
                self.pattern.append('*' * length)
            #What we're doing now is giving the AAAA rhyme scene a 1/5 chance of happening
            p = randint(0,3)
            if p == 0:
                self.rs = 'AAAA'
            if p == 1:
                self.rs = 'AABB'
            if p == 2:
                self.rs = 'ABAB'
            if p == 3:
                self.rs = 'ABBA'
        if self.type == 'spens_sonnet':
            mean = randint(7, 12)
            lengths = []
            for x in range(0, 13):
                lengths.append(randint(mean-1, mean+1))
            for length in lengths:
                self.pattern.append('*' * length)
            self.rs = 'ABABBCBCCDCDEE'
        if self.type == 'ital_sonnet':
            mean = randint(7, 12)
            lengths = []
            for x in range(0, 13):
                lengths.append(randint(mean-1, mean+1))
            for length in lengths:
                self.pattern.append('*' * length)
            octave = 'ABBAABA'
            sestet = ''
            p = randint(0,3)
            if p == 0:
                sestet = 'CDCDCD'
            if p == 1:
                sestet= 'CDDCDC'
            if p == 2:
                sestet = 'CDECDE'
            if p == 3:
                sestet = 'CDECED'
            self.rs = octave + sestet
        if self.type == 'shaks_sonnet':
            mean = randint(7, 12)
            lengths = []
            for x in range(0, 13):
                lengths.append(randint(mean-1, mean+1))
            for length in lengths:
                self.pattern.append('*' * length)
            self.rs = 'ABABCDCDEFEFGG'

        self.template = pt.PoemTemplate(self.pattern, self.rs)