luscenje_struktur/src/match_store.py

from collections import defaultdict
from ast import literal_eval

from match import StructureMatch
from representation_assigner import RepresentationAssigner
from progress_bar import progress

class MatchStore:
    def __init__(self, args, db):
        self.db = db
        self.dispersions = {}
        self.min_freq = args.min_freq


        self.db.init("""CREATE TABLE Colocations (
            colocation_id INTEGER PRIMARY KEY,
            structure_id varchar(8),
            key varchar(256))
            """)
        self.db.init("""CREATE TABLE Matches (
            match_id INTEGER,
            component_id INTEGER NOT NULL,
            word_lemma varchar(32) NOT NULL,
            word_id varchar(32) NOT NULL,
            word_msd varchar(16) NOT NULL,
            word_text varchar(32) NOT NULL)
            """)
        self.db.init("""CREATE TABLE ColocationMatches (
            mid_match_id INTEGER,
            mid_colocation_id INTEGER,
            FOREIGN KEY(mid_colocation_id) REFERENCES Colocations(colocation_id),
            FOREIGN KEY(mid_match_id) REFERENCES Matches(match_id))
            """)
        self.db.init("""CREATE TABLE Representations (
            colocation_id INTEGER,
            component_id INTEGER,
            text varchar(32),
            FOREIGN KEY(colocation_id) REFERENCES Colocations(colocation_id))
            """)
        self.db.init("""CREATE TABLE Dispersions (
            structure_id varchar(64),
            component_id varchar(64),
            lemma varchar(128),
            dispersion INTEGER)
            """)
        
        self.db.init("CREATE INDEX key_sid_c ON Colocations (key, structure_id)")
        self.db.init("CREATE INDEX sid_c ON Colocations (structure_id)")
        self.db.init("CREATE INDEX mmid_cm ON ColocationMatches (mid_colocation_id)")
        self.db.init("CREATE INDEX mid_m ON Matches (match_id)")
        self.db.init("CREATE INDEX col_r ON Representations (colocation_id)")
        self.db.init("CREATE INDEX disp_key ON Dispersions (structure_id, component_id, lemma)")

        match_num = self.db.execute("SELECT MAX(match_id) FROM Matches").fetchone()[0]
        self.match_num = 0 if match_num is None else match_num + 1
    def _add_match(self, key, structure, match):
        structure_id, key_str = key[0], str(key[1:])
        cid = self.db.execute("SELECT colocation_id FROM Colocations WHERE key=? AND structure_id=?",
                              (key_str, structure_id)).fetchone()

        if cid is None:
            self.db.execute("INSERT INTO Colocations (structure_id, key) VALUES (?,?)", 
                            (structure_id, key_str))
            cid = self.db.execute("SELECT colocation_id FROM Colocations WHERE key=? AND structure_id=?",
                                (key_str, structure_id)).fetchone()
        
        for component_id, word in match.items():
            self.db.execute("""
            INSERT INTO Matches (match_id, component_id, word_lemma, word_text, word_msd, word_id) 
            VALUES (:match_id, :component_id, :word_lemma, :word_text, :word_msd, :word_id)""", {
                "component_id": component_id,
                "match_id": self.match_num,
                "word_lemma": word.lemma,
                "word_msd": word.msd,
                "word_text": word.text,
                "word_id": word.id,
            })

        self.db.execute("INSERT INTO ColocationMatches (mid_colocation_id, mid_match_id) VALUES (?,?)",
            (cid[0], self.match_num))
        
        self.match_num += 1

    def add_matches(self, matches):
        for structure, nms in progress(matches.items(), 'adding-matches'):
            for nm in nms:
                self._add_match(nm[1], structure, nm[0])

    def get_matches_for(self, structure):
        for cid in self.db.execute("SELECT colocation_id FROM Colocations WHERE structure_id=?",
                                   (structure.id,)):
            yield StructureMatch.from_db(self.db, cid[0], structure)

    def set_representations(self, word_renderer, structures):
        step_name = 'representation'
        if self.db.is_step_done(step_name):
            print("Representation step already done, skipping")
            return

        num_inserts = 1000
        inserts = []

        structures_dict = {s.id: s for s in structures}
        num_representations = int(self.db.execute("SELECT Count(*) FROM Colocations").fetchone()[0])
        for cid, sid in progress(self.db.execute("SELECT colocation_id, structure_id FROM Colocations"), "representations", total=num_representations):
            structure = structures_dict[sid]
            match = StructureMatch.from_db(self.db, cid, structure)
            RepresentationAssigner.set_representations(match, word_renderer)

            inserts.append(match)
            if len(inserts) > num_inserts:
                for match in inserts:
                    for component_id, text in match.representations.items():
                        self.db.execute("""
                            INSERT INTO Representations (colocation_id, component_id, text) 
                            VALUES (?,?,?)""", (match.match_id, component_id, text))
                inserts = []

        self.db.step_is_done(step_name)

    def has_colocation_id_enough_frequency(self, colocation_id):
        matches = self.db.execute("SELECT MIN(MAX(COUNT(*), ?), ?) FROM ColocationMatches WHERE mid_colocation_id=?", (self.min_freq - 1, self.min_freq, colocation_id)).fetchone()[0]
        return matches >= self.min_freq

    def determine_colocation_dispersions(self):
        step_name = 'dispersions'
        if self.db.is_step_done(step_name):
            self.load_dispersions()
            return

        dispersions = defaultdict(int)
        for colocation_id, structure_id, word_tups_str in progress(self.db.execute("SELECT colocation_id, structure_id, key FROM Colocations"), "dispersion"):
            if not self.has_colocation_id_enough_frequency(colocation_id):
                continue

            word_tups = literal_eval(word_tups_str)
            for component_id, lemma in word_tups:
                dispersions[(str(structure_id), component_id, lemma)] += 1
            
        self.dispersions = dict(dispersions)
        print("Storing dispersions...")
        self.store_dispersions()

        self.db.step_is_done(step_name)

    def store_dispersions(self):
        for (structure_id, component_id, lemma), disp in self.dispersions.items():
            self.db.execute("INSERT INTO Dispersions (structure_id, component_id, lemma, dispersion) VALUES (?, ?, ?, ?)",
                (structure_id, component_id, lemma, disp))

    def load_dispersions(self):
        self.dispersions = {}
        for structure_id, component_id, lemma, dispersion in progress(self.db.execute("SELECT * FROM Dispersions"), "load-dispersions"):
            self.dispersions[structure_id, component_id, lemma] = dispersion