vocab.py

import sqlite3
import os

DATA_DIR = "./data"
DB_PATH = os.path.join(DATA_DIR, "sentences.db")


# 初始化資料表（保險起見，但你本地應該已建過了）
def init_db():
    conn = sqlite3.connect(DB_PATH)
    c = conn.cursor()
    c.execute('''
    CREATE TABLE IF NOT EXISTS sentences (
        word TEXT,
        phonetic TEXT,
        sentence TEXT,
        source TEXT,
        model TEXT,
        created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
        PRIMARY KEY (word, source, model)
    )
    ''')
    conn.commit()
    conn.close()


# 查詢某個單字的所有例句，包含來源 & 模型
def get_sentences_by_word(word):
    conn = sqlite3.connect(DB_PATH)
    c = conn.cursor()
    c.execute('SELECT word, phonetic, sentence, source, model FROM sentences WHERE word=?', (word,))
    results = c.fetchall()
    conn.close()
    return results


# 儲存句子（GPT 生成 or 句庫）
def save_sentence(word, phonetic, sentence, source, model):
    conn = sqlite3.connect(DB_PATH)
    c = conn.cursor()
    c.execute('''
    INSERT INTO sentences (word, phonetic, sentence, source, model)
    VALUES (?, ?, ?, ?, ?)
    ON CONFLICT(word, source, model) DO UPDATE SET sentence=excluded.sentence, phonetic=excluded.phonetic
    ''', (word, phonetic, sentence, source, model))
    conn.commit()
    conn.close()