luscenje_struktur/src/word_stats.py

from collections import defaultdict, Counter

from progress_bar import progress


class WordStats:
    def __init__(self, lemma_features, db):
        self.lemma_features = lemma_features
        self.db = db
        self.all_words = None

        self.db.init("""CREATE TABLE UniqWords (
            uw_id INTEGER PRIMARY KEY, 
            lemma varchar(64), 
            msd varchar(16), 
            text varchar(64), 
            frequency int
            )""")
        self.db.init("CREATE TABLE WordCount (lemma varchar(64), msd0 char, frequency int)")
        self.db.init("CREATE TABLE NumWords (id INTEGER PRIMARY KEY, n INTEGER)")

        self.db.init("CREATE INDEX lemma_msd_text_on_uw ON UniqWords (lemma, msd, text)")
        self.db.init("CREATE INDEX lemma_on_uw ON UniqWords (lemma)")
        self.db.init("CREATE INDEX lemma_msd0_on_wc ON WordCount (lemma, msd0)")

    def add_words(self, words):
        for w in progress(words, "adding-words"):
            params = {'lemma': w.lemma, 'msd': w.msd, 'text': w.text}
            res = self.db.execute("""UPDATE UniqWords SET frequency=frequency + 1
                WHERE lemma=:lemma AND msd=:msd AND text=:text""", params)

            if res.rowcount == 0:
                self.db.execute("""INSERT INTO UniqWords (lemma, msd, text, frequency) 
                    VALUES (:lemma, :msd, :text, 1)""", params)

        self.db.execute("INSERT INTO NumWords (n) VALUES (?)", (len(words),))

    def num_all_words(self):
        if self.all_words is None:
            cur = self.db.execute("SELECT sum(n) FROM NumWords")
            self.all_words = int(cur.fetchone()[0])
        return self.all_words

    def generate_renders(self):
        lemmas = [lemma for (lemma, ) in self.db.execute("SELECT DISTINCT lemma FROM UniqWords")]
        for lemma in progress(lemmas, 'word-count'):
            num_words = defaultdict(int)
            for (msd, freq) in self.db.execute("SELECT msd, frequency FROM UniqWords WHERE lemma=?", (lemma,)):
                num_words[msd[0]] += freq
                
            for msd0, freq in num_words.items():
                self.db.execute("INSERT INTO WordCount (lemma, msd0, frequency) VALUES (?,?,?)",
                    (lemma, msd0, freq))
        self.db.commit()

    def common_lemma_msd(self, lemma, msd):
        lf = self.lemma_features
        if msd[0] in lf:
            return "".join(
                l1 if l1 != "-" else l2 for l1, l2 in zip(lf[msd[0]], msd)
            )
        else:
            return msd

    def render(self, lemma, msd):
        statement = """SELECT msd, frequency FROM UniqWords WHERE 
        lemma=:lemma AND msd=:msd ORDER BY frequency DESC"""

        cur = self.db.execute(statement, {"lemma": lemma, "msd": msd})
        if cur.rowcount > 0:
            return cur.fetchone()[0]

    def available_words(self, lemma, existing_texts):
        counted_texts = Counter(existing_texts)
        for (msd, text), _n in counted_texts.most_common():
            yield (msd, text)

        statement = """SELECT msd, text, frequency FROM UniqWords WHERE 
        lemma=:lemma ORDER BY frequency DESC"""
        for msd, text, _f in self.db.execute(statement, {'lemma': lemma}):
            if (msd, text) not in counted_texts:
                yield (msd, text)
    
    def num_words(self, lemma, msd0):
        statement = "SELECT frequency FROM WordCount WHERE lemma=? AND msd0=? LIMIT 1"
        cur = self.db.execute(statement, (lemma, msd0))
        result = cur.fetchone()[0]
        return result


    def get_lemma_msd(self, lemma, word_msd):
        # should be here, since we collect every lemmas
        msd0 = word_msd[0]
        lemma_msd = self.db.execute("SELECT msd FROM CommonMsd WHERE lemma=? AND msd0=?", 
                                    (lemma, msd0)).fetchone()[0]

        if lemma_msd[0] == '-':
            if word_msd[0] in self.lemma_features:
                return self.lemma_features[word_msd[0]]
            else:
                return '-'
        else:
            return lemma_msd