87 lines
2.3 KiB
Python
87 lines
2.3 KiB
Python
import csv
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import sqlite3
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from pathlib import Path, PurePath
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import stardict
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MYSQLITE = 'ecdictSqlite.db'
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def new_inflection(exchange):
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"""去除ECDICT exchange字段中冗余的f:复数， b:比较级， z:最高级。如果与对应标
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签内容不同，则予以保留。
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Note:
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ecdict exchange列中0: 代表Lemma，如 perceived 的 Lemma 是 perceive
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类型 说明
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p 过去式（did）
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d 过去分词（done）
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i 现在分词（doing）
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3 第三人称单数（does）
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r 形容词比较级（-er）
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t 形容词最高级（-est）
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s 名词复数形式
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0 Lemma，如 perceived 的 Lemma 是 perceive
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1 Lemma 的变换形式，比如 s 代表 apples 是其 lemma 的复数形式
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https://github.com/skywind3000/ECDICT/issues/23
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"""
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if len(exchange) == 0:
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return ''
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lists = exchange.split('/')
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inflection = {}
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for trans in lists:
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inflection[trans[0]] = trans[2:]
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old_new = {'b': 'r', 'z': 't', 'f': 's'}
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# 只去除相应重复值。如不重复的话，仍保留b, z, f标签。
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for i in old_new:
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if inflection.get(i):
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if not inflection.get(old_new[i]):
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inflection[old_new[i]] = inflection[i]
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inflection.pop(i)
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elif inflection[old_new[i]] == inflection[i]:
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inflection.pop(i)
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newexchange = []
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for i in inflection:
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newexchange.append(i + ':' + inflection[i])
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return ('/').join(newexchange)
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def init_ecdict_sqlite():
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stardict.convert_dict(MYSQLITE, 'ecdict.csv')
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con = sqlite3.connect(MYSQLITE)
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cur = con.cursor()
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# 查询所有行的数据
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select_query = "SELECT word, exchange FROM stardict"
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cur.execute(select_query)
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rows = cur.fetchall()
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# 遍历每一行，根据 word和exchange 的值更新新建列lemma
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for row in rows:
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word = row[0]
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exchange = row[1]
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inflection = new_inflection(exchange)
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update_query = "UPDATE stardict SET exchange = ? WHERE word = ?"
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cur.execute(update_query, (inflection, word))
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con.commit()
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con.close()
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init_ecdict_sqlite() # 只需运行一次，生成sqlite3 db文件
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# 转换SQLITE为csv文件
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stardict.convert_dict('ecdict.csv', MYSQLITE)
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