为下面的代码优化from flask import Flask, render_template, request import csv app = Flask(__name__) @app.route('/') def index(): return render_template('index.html') @app.route('/', methods=['POST']) def submit(): card = request.form['card'] phone1 = request.form['phone1'] phone2 = request.form['phone2'] result = check_card(card, phone1, phone2) return render_template('index.html', result=result) def check_card(card, phone1, phone2): with open('data.csv', 'r', encoding='utf-8') as f: reader = csv.reader(f) for row in reader: if row[0] == card: if row[1] == phone1 or row[2] == phone2: with open('data.csv', 'w', encoding='utf-8') as f: writer = csv.writer(f) for r in reader: if r[0] != card: writer.writerow(r) return str(int(row[3]) + 5) + phone1 + phone2 else: return '手机号不正确' elif row[1] == phone1 and row[2] == phone2: with open('data.csv', 'w', encoding='utf-8') as f: writer = csv.writer(f) for r in reader: if r[0] != row[0]: writer.writerow(r) return str(int(row[3]) + 10) + phone1 + phone2 return '不存在' if __name__ == '__main__': app.run(debug=True)

有几点可以进行优化：

1. 使用数据库代替 CSV 文件存储数据，可以提高数据的读写效率和查询效率。

2. 将 check_card() 函数中的文件读写操作放到函数外部，避免每次调用函数时都重复打开和关闭文件。

3. 将 check_card() 函数中的数据处理操作封装成一个类，方便管理和维护代码。

4. 使用缓存技术避免重复查询，减少数据库或文件的访问次数，提高程序的性能。