以下是一个简化的 Python 代码框架，以及如何实现上述功能点的基本思路，可以基于这个框架进一步开发和完善你的小程序。
以下是一个简化的 Python 代码框架，使用了基本的类和函数来模拟上述功能：
import pandas as pd from cryptography.fernet import Fernet import matplotlib.pyplot as plt from typing import List, Dict # 数据加密类 class DataEncryptor: def __init__(self, key): self.key = key def encrypt(self, data): fernet = Fernet(self.key) encrypted_data = fernet.encrypt(data.encode()) return encrypted_data def decrypt(self, encrypted_data): fernet = Fernet(self.key) decrypted_data = fernet.decrypt(encrypted_data) return decrypted_data.decode() # 账单记录和分类 class BillTracker: def __init__(self): self.bills = [] def add_bill(self, amount, category, date): bill = { 'amount': amount, 'category': category, 'date': date } self.bills.append(bill) def get_category_totals(self): category_totals = {} for bill in self.bills: if bill['category'] in category_totals: category_totals[bill['category']] += bill['amount'] else: category_totals[bill['category']] = bill['amount'] return category_totals # 消费分析报告 class ConsumptionAnalyzer: def __init__(self, bill_tracker): self.bill_tracker = bill_tracker def generate_report(self): category_totals = self.bill_tracker.get_category_totals() categories = list(category_totals.keys()) values = list(category_totals.values()) # 生成图表 plt.pie(values, labels=categories, autopct='%1.1f%%') plt.axis('equal') plt.show() # 打印报告 for category, total in category_totals.items(): print(f"{category}: {total}") # 储蓄目标跟踪 class SavingsTracker: def __init__(self, initial_amount): self.current_amount = initial_amount def add_savings(self, amount): self.current_amount += amount def get_progress(self, target_amount): progress = (self.current_amount / target_amount) * 100 return progress # 用户自定义设置 class UserSettings: def __init__(self): self.encryption_key = None self.savings_target = None def set_encryption_key(self, key): self.encryption_key = key def set_savings_target(self, target): self.savings_target = target # 示例代码逻辑 def main(): # 用户设置 user_settings = UserSettings() user_settings.set_encryption_key(b'Sixteen byte key') user_settings.set_savings_target(10000) # 账单记录 bill_tracker = BillTracker() bill_tracker.add_bill(500, 'Food', '2023-11-01') bill_tracker.add_bill(300, 'Entertainment', '2023-11-01') # 分析和报告 analyzer = ConsumptionAnalyzer(bill_tracker) analyzer.generate_report() # 储蓄跟踪 savings_tracker = SavingsTracker(2000) savings_tracker.add_savings(1000) progress = savings_tracker.get_progress(user_settings.savings_target) print(f"Savings progress: {progress:.1f}%") if __name__ == "__main__": main()
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100'在这个框架中：
DataEncryptor 类负责数据的加解密。BillTracker 类管理账单的记录和分类。ConsumptionAnalyzer 类生成消费分析报告。SavingsTracker 类跟踪储蓄目标进度。UserSettings 类允许用户自定义设置，如加密密钥和储蓄目标。这只是一个基础的框架，需要根据实际需求添加更多的功能和安全措施，比如用户身份验证、数据库后端支持、更复杂的报告生成、前端界面等等。此外，要确保加解密密钥的安全存储和传输，可能还需要考虑密钥的备份和恢复机制。对于图表和报告的生成，可以使用 matplotlib 和 pandas 等库来生成静态图表，或者使用更高级的库如 Dash 或 Streamlit 来生成交互式报告。
