267 lines
9.9 KiB
Python
267 lines
9.9 KiB
Python
#!/usr/bin/env python3
|
||
# -*- coding: utf-8 -*-
|
||
"""导入大学英语四级核心词汇到数据库"""
|
||
|
||
import pandas as pd
|
||
import mysql.connector
|
||
from datetime import datetime
|
||
import json
|
||
|
||
# 数据库配置
|
||
db_config = {
|
||
'host': 'localhost',
|
||
'port': 3306,
|
||
'user': 'root',
|
||
'password': 'JKjk20011115',
|
||
'database': 'ai_english_learning',
|
||
'charset': 'utf8mb4'
|
||
}
|
||
|
||
# 词汇书ID
|
||
BOOK_ID = 'cet4_core_2500'
|
||
|
||
def clean_text(text):
|
||
"""清理文本，处理nan和空值"""
|
||
if pd.isna(text) or str(text).strip() == '' or str(text).strip() == 'nan':
|
||
return None
|
||
return str(text).strip()
|
||
|
||
def extract_part_of_speech(translation):
|
||
"""从中文翻译中提取词性"""
|
||
if not translation:
|
||
return 'noun'
|
||
|
||
pos_map = {
|
||
'v.': 'verb',
|
||
'n.': 'noun',
|
||
'adj.': 'adjective',
|
||
'adv.': 'adverb',
|
||
'prep.': 'preposition',
|
||
'conj.': 'conjunction',
|
||
'pron.': 'pronoun',
|
||
'interj.': 'interjection'
|
||
}
|
||
|
||
for abbr, full in pos_map.items():
|
||
if abbr in translation or abbr.replace('.', '') in translation:
|
||
return full
|
||
|
||
# 中文词性判断
|
||
if '动' in translation:
|
||
return 'verb'
|
||
elif '形' in translation or '容' in translation:
|
||
return 'adjective'
|
||
elif '副' in translation:
|
||
return 'adverb'
|
||
elif '介' in translation:
|
||
return 'preposition'
|
||
elif '连' in translation:
|
||
return 'conjunction'
|
||
|
||
return 'noun'
|
||
|
||
def import_words_from_excel(file_path):
|
||
"""从Excel导入单词"""
|
||
try:
|
||
print(f"📖 正在读取文件: {file_path}")
|
||
df = pd.read_excel(file_path)
|
||
|
||
print(f"📊 文件列名: {df.columns.tolist()}")
|
||
print(f"📊 总行数: {len(df)}")
|
||
|
||
conn = mysql.connector.connect(**db_config)
|
||
cursor = conn.cursor()
|
||
|
||
# 清理旧数据
|
||
print("\n清理旧数据...")
|
||
cursor.execute("DELETE FROM ai_vocabulary_book_words WHERE book_id = %s", (BOOK_ID,))
|
||
cursor.execute("""
|
||
DELETE v FROM ai_vocabulary v
|
||
LEFT JOIN ai_vocabulary_book_words bw ON bw.vocabulary_id = v.id
|
||
WHERE bw.id IS NULL
|
||
""")
|
||
conn.commit()
|
||
|
||
# SQL语句
|
||
insert_vocab_sql = """
|
||
INSERT INTO ai_vocabulary
|
||
(word, phonetic_us, phonetic_uk, phonetic, level, frequency, is_active,
|
||
word_root, synonyms, antonyms, derivatives, collocations, created_at, updated_at)
|
||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
|
||
"""
|
||
|
||
insert_definition_sql = """
|
||
INSERT INTO ai_vocabulary_definitions
|
||
(vocabulary_id, part_of_speech, definition_en, definition_cn, sort_order, created_at)
|
||
VALUES (%s, %s, %s, %s, %s, %s)
|
||
"""
|
||
|
||
insert_example_sql = """
|
||
INSERT INTO ai_vocabulary_examples
|
||
(vocabulary_id, sentence_en, sentence_cn, sort_order, created_at)
|
||
VALUES (%s, %s, %s, %s, %s)
|
||
"""
|
||
|
||
insert_book_word_sql = """
|
||
INSERT INTO ai_vocabulary_book_words
|
||
(book_id, vocabulary_id, sort_order, created_at)
|
||
VALUES (%s, %s, %s, %s)
|
||
"""
|
||
|
||
success_count = 0
|
||
error_count = 0
|
||
|
||
for index, row in df.iterrows():
|
||
try:
|
||
# 尝试多个可能的列名
|
||
word = clean_text(row.get('Word') or row.get('单词(Word)') or row.get('单词'))
|
||
if not word:
|
||
continue
|
||
|
||
# 检查单词是否已存在
|
||
cursor.execute("SELECT id FROM ai_vocabulary WHERE word = %s", (word,))
|
||
existing = cursor.fetchone()
|
||
|
||
if existing:
|
||
# 单词已存在，使用现有ID
|
||
vocab_id = existing[0]
|
||
else:
|
||
# 单词不存在，插入新记录
|
||
# 音标
|
||
phonetic_us = clean_text(row.get('美式音标'))
|
||
phonetic_uk = clean_text(row.get('英式音标'))
|
||
phonetic = phonetic_us or phonetic_uk
|
||
|
||
# 释义
|
||
translation_cn = clean_text(row.get('中文含义'))
|
||
translation_en = clean_text(row.get('英文翻译（对应中文含义）') or row.get('英文翻译'))
|
||
|
||
if not translation_cn:
|
||
print(f"⚠️ 跳过 {word}：缺少中文含义")
|
||
continue
|
||
|
||
if not translation_en:
|
||
translation_en = word
|
||
|
||
part_of_speech = extract_part_of_speech(translation_cn)
|
||
|
||
# 例句
|
||
example_en = clean_text(row.get('例句'))
|
||
example_cn = clean_text(row.get('例句中文翻译'))
|
||
|
||
# 词根
|
||
word_root = clean_text(row.get('词根') or row.get('词根/词源'))
|
||
|
||
# 同义词
|
||
synonyms_text = clean_text(row.get('同义词（含义）'))
|
||
synonyms_json = '[]'
|
||
if synonyms_text:
|
||
syn_list = [syn.strip() for syn in synonyms_text.split('；') if syn.strip()]
|
||
synonyms_json = json.dumps(syn_list, ensure_ascii=False)
|
||
|
||
# 反义词
|
||
antonyms_text = clean_text(row.get('反义词（含义）'))
|
||
antonyms_json = '[]'
|
||
if antonyms_text:
|
||
ant_list = [ant.strip() for ant in antonyms_text.split('；') if ant.strip()]
|
||
antonyms_json = json.dumps(ant_list, ensure_ascii=False)
|
||
|
||
# 派生词
|
||
derivatives_text = clean_text(row.get('派生词（含义）'))
|
||
derivatives_json = '[]'
|
||
if derivatives_text:
|
||
der_list = [der.strip() for der in derivatives_text.split('；') if der.strip()]
|
||
derivatives_json = json.dumps(der_list, ensure_ascii=False)
|
||
|
||
# 词组搭配
|
||
phrases_text = clean_text(row.get('词组搭配（中文含义）'))
|
||
collocations_json = '[]'
|
||
if phrases_text:
|
||
col_list = [phrase.strip() for phrase in phrases_text.split('；') if phrase.strip()]
|
||
collocations_json = json.dumps(col_list, ensure_ascii=False)
|
||
|
||
# 插入词汇
|
||
now = datetime.now()
|
||
cursor.execute(insert_vocab_sql, (
|
||
word, phonetic_us, phonetic_uk, phonetic,
|
||
'intermediate', # CET-4难度
|
||
index + 1, True,
|
||
word_root, synonyms_json, antonyms_json,
|
||
derivatives_json, collocations_json,
|
||
now, now
|
||
))
|
||
|
||
vocab_id = cursor.lastrowid
|
||
|
||
# 插入释义
|
||
cursor.execute(insert_definition_sql, (
|
||
vocab_id, part_of_speech, translation_en,
|
||
translation_cn, 0, now
|
||
))
|
||
|
||
# 插入例句
|
||
if example_en and example_cn:
|
||
examples_en = example_en.split('；')
|
||
examples_cn = example_cn.split('；')
|
||
|
||
for i, (ex_en, ex_cn) in enumerate(zip(examples_en, examples_cn)):
|
||
ex_en = ex_en.strip()
|
||
ex_cn = ex_cn.strip()
|
||
if ex_en and ex_cn:
|
||
cursor.execute(insert_example_sql, (
|
||
vocab_id, ex_en, ex_cn, i, now
|
||
))
|
||
|
||
# 关联到词汇书（无论单词是否已存在，都要关联）
|
||
now = datetime.now()
|
||
try:
|
||
cursor.execute(insert_book_word_sql, (
|
||
BOOK_ID, vocab_id, index, now
|
||
))
|
||
except Exception as link_error:
|
||
# 如果关联已存在，跳过
|
||
if '1062' not in str(link_error): # 不是重复键错误
|
||
raise
|
||
|
||
success_count += 1
|
||
if success_count % 100 == 0:
|
||
print(f"✅ 已处理 {success_count} 个单词...")
|
||
conn.commit()
|
||
|
||
except Exception as e:
|
||
error_count += 1
|
||
print(f"❌ 导入第 {index + 1} 行失败: {e}")
|
||
|
||
conn.commit()
|
||
|
||
# 更新词汇书总数
|
||
cursor.execute(
|
||
"UPDATE ai_vocabulary_books SET total_words = %s WHERE id = %s",
|
||
(success_count, BOOK_ID)
|
||
)
|
||
conn.commit()
|
||
|
||
print(f"\n🎉 大学英语四级核心词汇导入完成!")
|
||
print(f"✅ 成功: {success_count} 个单词")
|
||
print(f"❌ 失败: {error_count} 个单词")
|
||
|
||
# 验证
|
||
cursor.execute(
|
||
"SELECT COUNT(*) FROM ai_vocabulary_book_words WHERE book_id = %s",
|
||
(BOOK_ID,)
|
||
)
|
||
print(f"📊 词汇书中共有 {cursor.fetchone()[0]} 个单词")
|
||
|
||
except Exception as e:
|
||
print(f"❌ 导入失败: {e}")
|
||
import traceback
|
||
traceback.print_exc()
|
||
finally:
|
||
if 'cursor' in locals():
|
||
cursor.close()
|
||
if 'conn' in locals():
|
||
conn.close()
|
||
|
||
if __name__ == '__main__':
|
||
import_words_from_excel('data/大学英语四级核心词汇.xlsx')
|