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from Crypto.Cipher import AES from Crypto.Util.Padding import unpad import base64 import json import matplotlib.pyplot as plt import requests import platform import datetime def decrypt_aes_ecb(encrypted_data: str) -> str: key = encrypted_data[:16].encode('utf-8') encrypted_data = encrypted_data[16:] encrypted_data_bytes = base64.b64decode(encrypted_data) cipher = AES.new(key, AES.MODE_ECB) decrypted_data = unpad(cipher.decrypt(encrypted_data_bytes), AES.block_size) return decrypted_data.decode('utf-8') idserial = "" servicehall = "" all_data = dict() if __name__ == "__main__": # 读入账户信息 try: with open("config.json", "r", encoding='utf-8') as f: account = json.load(f) idserial = account["idserial"] servicehall = account["servicehall"] except Exception as e: print("账户信息读取失败,请重新输入") idserial = input("请输入学号: ") servicehall = input("请输入服务代码: ") with open("config.json", "w", encoding='utf-8') as f: json.dump({"idserial": idserial, "servicehall": servicehall}, f, indent=4) endtime = datetime.datetime.now().strftime("%Y-%m-%d") print(f"开始获取数据,开始日期为2000-01-01,截止日期为{endtime}") # 发送请求,得到加密后的字符串 url = f"https://card.tsinghua.edu.cn/business/querySelfTradeList?pageNumber=0&pageSize=5000&starttime=2000-01-01&endtime={endtime}&idserial={idserial}&tradetype=-1" cookie = { "servicehall": servicehall, } response = requests.post(url, cookies=cookie) # 解密字符串 encrypted_string = json.loads(response.text)["data"] decrypted_string = decrypt_aes_ecb(encrypted_string) # 整理数据 data = json.loads(decrypted_string) for item in data["resultData"]["rows"]: try: if item["mername"] in all_data: all_data[item["mername"]] += item["txamt"] else: all_data[item["mername"]] = item["txamt"] except Exception as e: pass all_data = {k: round(v / 100, 2) for k, v in all_data.items()} # 将分转换为元,并保留两位小数 print(len(all_data)) # 输出结果 all_data = dict(sorted(all_data.items(), key=lambda x: x[1], reverse=False)) # 存储结果 with open("result.txt", "w", encoding='utf-8') as f: for k, v in all_data.items(): f.write(f"{k}: {v}\n") if platform.system() == "Darwin": plt.rcParams['font.sans-serif'] = ['Arial Unicode MS'] elif platform.system() == "Linux": plt.rcParams['font.family'] = ['Droid Sans Fallback', 'DejaVu Sans'] else: plt.rcParams['font.sans-serif'] = ['SimHei'] plt.figure(figsize=(14,12)) plt.style.use('seaborn') # 设置seaborn使用中文字体 plt.rcParams['font.sans-serif'] = ['SimHei'] plt.rcParams['axes.unicode_minus'] = False plt.barh(list(all_data.keys()), list(all_data.values())) for index, value in enumerate(list(all_data.values())): plt.text(value + 0.01 * max(all_data.values()), index, str(value), va='center') # plt.tight_layout() plt.xlim(0, 1.2 * max(all_data.values())) plt.title("华清大学食堂消费情况") plt.xlabel("消费金额(元)") plt.savefig("result.png", dpi = 400) plt.show() plt.figure(figsize=(10,10)) lables_pie = list(all_data.keys()) sizes_pie = list(all_data.values()) lables_pie = [lables_pie[i] if sizes_pie[i]/sum(sizes_pie) >=0.01 else '' for i in range(len(lables_pie))] plt.pie(list(all_data.values()), labels=lables_pie, autopct='%1.1f%%',pctdistance=0.9, labeldistance=1.1, startangle=90, counterclock=False, wedgeprops=dict(width=0.3, edgecolor='w')) plt.title("华清大学食堂消费情况") plt.savefig("result_pie.png", dpi = 400) plt.show()
时间范围取从2000年1月1日到程序运行的日期,经验证为入学年份起(无法查询本科的就餐记录),并新增了绘制环形图的功能。
注意此处仅做了windows适配。
The text was updated successfully, but these errors were encountered:
补充:上文指研究生无法查询本科时的就餐记录,不是本科生无法查询本科生就餐记录
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学校服务器端也只保存到2023年7月底的消费记录,之前的查不到
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时间范围取从2000年1月1日到程序运行的日期,经验证为入学年份起(无法查询本科的就餐记录),并新增了绘制环形图的功能。
注意此处仅做了windows适配。
The text was updated successfully, but these errors were encountered: