106 lines
4.6 KiB
Python
106 lines
4.6 KiB
Python
from collections import defaultdict
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from ast import literal_eval
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from match import StructureMatch
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from representation_assigner import RepresentationAssigner
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from progress_bar import progress
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class MatchStore:
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def __init__(self, args, db):
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self.db = db
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self.min_frequency = args.min_freq
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self.dispersions = {}
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self.match_num = 0
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self.db.init("""CREATE TABLE Colocations (
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colocation_id INTEGER PRIMARY KEY,
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structure_id varchar(8),
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key varchar(256))
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""")
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self.db.init("""CREATE TABLE Matches (
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match_id INTEGER,
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component_id INTEGER NOT NULL,
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word_lemma varchar(32) NOT NULL,
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word_id varchar(32) NOT NULL,
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word_msd varchar(16) NOT NULL,
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word_text varchar(32) NOT NULL)
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""")
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self.db.init("""CREATE TABLE ColocationMatches (
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mid_match_id INTEGER,
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mid_colocation_id INTEGER,
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FOREIGN KEY(mid_colocation_id) REFERENCES Colocations(colocation_id),
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FOREIGN KEY(mid_match_id) REFERENCES Matches(match_id))
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""")
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self.db.init("""CREATE TABLE Representations (
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colocation_id INTEGER,
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component_id INTEGER,
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text varchar(32),
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FOREIGN KEY(colocation_id) REFERENCES Colocations(colocation_id))
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""")
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self.db.init("CREATE INDEX key_sid_c ON Colocations (key, structure_id)")
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self.db.init("CREATE INDEX sid_c ON Colocations (structure_id)")
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self.db.init("CREATE INDEX mmid_cm ON ColocationMatches (mid_colocation_id)")
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self.db.init("CREATE INDEX mid_m ON Matches (match_id)")
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self.db.init("CREATE INDEX col_r ON Representations (colocation_id)")
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def _add_match(self, key, structure, match):
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structure_id, key_str = key[0], str(key[1:])
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cid = self.db.execute("SELECT colocation_id FROM Colocations WHERE key=? AND structure_id=?",
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(key_str, structure_id)).fetchone()
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if cid is None:
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self.db.execute("INSERT INTO Colocations (structure_id, key) VALUES (?,?)",
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(structure_id, key_str))
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cid = self.db.execute("SELECT colocation_id FROM Colocations WHERE key=? AND structure_id=?",
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(key_str, structure_id)).fetchone()
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for component_id, word in match.items():
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self.db.execute("""
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INSERT INTO Matches (match_id, component_id, word_lemma, word_text, word_msd, word_id)
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VALUES (:match_id, :component_id, :word_lemma, :word_text, :word_msd, :word_id)""", {
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"component_id": component_id,
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"match_id": self.match_num,
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"word_lemma": word.lemma,
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"word_msd": word.msd,
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"word_text": word.text,
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"word_id": word.id,
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})
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self.db.execute("INSERT INTO ColocationMatches (mid_colocation_id, mid_match_id) VALUES (?,?)",
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(cid[0], self.match_num))
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self.match_num += 1
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def add_matches(self, matches):
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for structure, nms in progress(matches.items(), 'adding-matches'):
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for nm in nms:
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self._add_match(nm[1], structure, nm[0])
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def get_matches_for(self, structure):
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for cid in self.db.execute("SELECT colocation_id FROM Colocations WHERE structure_id=?",
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(structure.id,)):
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yield StructureMatch.from_db(self.db, cid[0], structure)
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def set_representations(self, word_renderer, structures):
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structures_dict = {s.id: s for s in structures}
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for cid, sid in progress(self.db.execute("SELECT colocation_id, structure_id FROM Colocations"), "representations"):
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structure = structures_dict[sid]
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match = StructureMatch.from_db(self.db, cid, structure)
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RepresentationAssigner.set_representations(match, word_renderer)
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for component_id, text in match.representations.items():
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self.db.execute("""
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INSERT INTO Representations (colocation_id, component_id, text)
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VALUES (?,?,?)""", (match.match_id, component_id, text))
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def determine_colocation_dispersions(self):
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dispersions = defaultdict(int)
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for structure_id, word_tups_str in self.db.execute("SELECT structure_id, key FROM Colocations"):
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word_tups = literal_eval(word_tups_str)
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for component_id, lemma in word_tups:
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dispersions[(str(structure_id), component_id, lemma)] += 1
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self.dispersions = dict(dispersions)
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