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Added a time ordering and explained what the Apache-2.0 license means.

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NianBroken
2024-01-31 15:22:37 +08:00 Unverified
parent d524fbfbd3
commit 7af37f4ce3
6 changed files with 120 additions and 43 deletions
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README.md
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@@ -20,13 +20,14 @@
1. 主要功能
1. 每隔 30 分钟自动检测成绩是否更新 若更新则向微信推送通知
1. 每隔 30 分钟自动检测成绩是否有更新，若有更新，将通过微信推送及时通知用户。
2. 相较于教务系统增加了哪些功能？
1. 显示成绩提交时间（成绩在何时被录入进教务系统）
2. 显示成绩提交人姓名（成绩被谁录入进教务系统）
3. 成绩信息按时间排序（最新的成绩在最上方）
1. 显示成绩提交时间，即成绩何时被录入教务系统。
2. 显示成绩提交人姓名，即成绩由谁录入进教务系统。
3. 成绩信息按时间降序排序，确保最新的成绩始终在最上方，提升用户查阅效率。
4. 计算 GPA
## 使用方法
firstrun.txt
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false
grade.txt
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7dc2891c3afbd76dca4f11295afc5065
main.py
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@@ -1,22 +1,28 @@
# 导入必要的库
import base64
import hashlib
import os
import sys
import shutil
import json
from pprint import pprint
from zfn_api import Client
from pushplus import send_message
# 从环境变量获取教务系统的URL、用户名、密码和TOKEN
# 从环境变量中提取教务系统的URL、用户名、密码和TOKEN
url = os.environ.get("URL")
username = os.environ.get("USERNAME")
password = os.environ.get("PASSWORD")
token = os.environ.get("TOKEN")
# 定义一个md5加密的封装函数
# 定义一个封装MD5加密的函数
def md5_encrypt(string):
# 将字符串编码为字节
byte_string = string.encode()
# 创建MD5对象
md5_object = hashlib.md5(byte_string)
# 返回MD5哈希值的十六进制表示
return md5_object.hexdigest()
@@ -29,7 +35,7 @@ detail_category_type = []
timeout = 5
# 创建教务系统客户端对象
stu = Client(
student_client = Client(
cookies=cookies,
base_url=base_url,
raspisanie=raspisanie,
@@ -40,15 +46,18 @@ stu = Client(
# 如果cookies为空字典，则进行登录
if not cookies:
login_result = stu.login(username, password)
login_result = student_client.login(username, password)
if login_result["code"] == 1001:
# 如果需要验证码，获取验证码并进行登录
verify_data = login_result["data"]
# 将验证码图片写入文件
with open(os.path.abspath("kaptcha.png"), "wb") as pic:
pic.write(base64.b64decode(verify_data.pop("kaptcha_pic")))
# 输入验证码
verify_data["kaptcha"] = input("输入验证码：")
login_result = stu.login_with_kaptcha(**verify_data)
# 使用验证码进行登录
login_result = student_client.login_with_kaptcha(**verify_data)
if login_result["code"] != 1000:
pprint(login_result)
@@ -60,24 +69,37 @@ if not cookies:
sys.exit()
# 获取个人信息
info = stu.get_info()["data"]
info = student_client.get_info()["data"]
# 整合个人信息
integrate_info = (
f"个人信息：\n" f"学号：{info['sid']}\n" f"班级：{info['class_name']}\n" f"姓名：{info['name']}"
integrated_info = (
f"个人信息：\n" f"学号：{info['sid']}\n" f"班级：{info['class_name']}\n" f"姓名：{info['name']}\n"
)
# 定义firstrun.txt文件变量
firstrun_file_path = "firstrun.txt"
# 加密个人信息
encrypted_info = md5_encrypt(integrated_info)
# 如果firstrun.txt文件不存在，创建并写入true
if not os.path.exists(firstrun_file_path):
with open(firstrun_file_path, "w") as firstrun_file:
firstrun_file.write("true")
# 定义info.txt文件路径
info_file_path = "info.txt"
# 第一次运行则运行两遍，否则运行一遍
run_count = 2 if open(firstrun_file_path).read() == "true" else 1
# 初始化运行次数
run_count = 2
# 判断info.txt文件是否存在
if not os.path.exists(info_file_path):
# 如果文件不存在，创建并写入encrypted_info的内容
with open(info_file_path, "w") as info_file:
info_file.write(encrypted_info)
else:
# 如果文件存在，读取文件内容并比较
with open(info_file_path, "r") as info_file:
info_file_content = info_file.read()
# 如果info.txt文件中保存的个人信息与获取到的个人信息不一致，则代表是第一次运行程序
if info_file_content == encrypted_info:
# 非二次运行程序
run_count = 1
# 第一次运行程序则运行两遍，否则运行一遍
for _ in range(run_count):
# 如果grade.txt文件不存在，创建文件
if not os.path.exists("grade.txt"):
@@ -87,7 +109,7 @@ for _ in range(run_count):
with open("old_grade.txt", "w") as old_grade_file:
old_grade_file.truncate()
# 将grade.txt文件中的内容写入到old_grade.txt文件内。
# 将grade.txt文件中的内容写入old_grade.txt文件内。
with open("grade.txt", "r") as grade_file, open(
"old_grade.txt", "w"
) as old_grade_file:
@@ -98,15 +120,26 @@ for _ in range(run_count):
grade_file.truncate()
# 获取成绩信息
grade = stu.get_grade("")["data"]["courses"]
grade = student_client.get_grade("")["data"]["courses"]
# 按照提交时间降序排序
sorted_grade = sorted(grade, key=lambda x: x["submission_time"], reverse=True)
# 学分绩点总和
total_xfjd = sum(float(course["xfjd"]) for course in grade)
# 学分总和
total_credit = sum(float(course["credit"]) for course in grade)
# (学分*绩点)的总和/学分总和
gpa = "{:.2f}".format(total_xfjd / total_credit)
integrated_info += f"当前GPA：{gpa}\n------"
# 初始化输出成绩信息字符串
integrated_grade_info = "成绩信息："
# 遍历前8条按时间降序排序后的成绩列表
# 遍历前8条成绩信息
for i, course in enumerate(sorted_grade[:8]):
# 整合成绩信息
integrated_grade_info += (
@@ -115,41 +148,62 @@ for _ in range(run_count):
f"任课教师: {course['teacher']}\n"
f"成绩: {course['grade']}\n"
f"提交时间: {course['submission_time']}\n"
f"提交人姓名: {course['name_of_submitter']}\n"
f"------"
f"提交人姓名: {course['name_of_submitter']}\n------"
)
# 加密保存成绩
encrypt_integrated_grade_info = md5_encrypt(integrated_grade_info)
encrypted_integrated_grade_info = md5_encrypt(integrated_grade_info)
# 将加密后的成绩信息写入grade.txt文件
with open("grade.txt", "w") as grade_file:
grade_file.write(encrypt_integrated_grade_info)
grade_file.write(encrypted_integrated_grade_info)
# 对grade.txt和old_grade.txt两个文件的内容进行比对
# 读取grade.txt和old_grade.txt文件的内容
with open("grade.txt", "r") as grade_file, open("old_grade.txt", "r") as old_grade_file:
# 读取grade.txt和old_grade.txt文件的内容
grade_content = grade_file.read()
old_grade_content = old_grade_file.read()
# 输出成绩信息
print(f"新成绩：{encrypt_integrated_grade_info}")
print(f"新成绩：{encrypted_integrated_grade_info}")
print(f"旧成绩：{old_grade_content}")
print("------")
# 整合所有信息
integrate_send_info = f"{integrate_info}\n------\n{integrated_grade_info}"
# 注意此处integrated_send_info保存的是未加密的信息，仅用于信息推送
# 若是在 Github Actions 等平台运行，请不要使用print(integrated_send_info)
integrated_send_info = f"{integrated_info}\n{integrated_grade_info}"
# 输出成绩是否更新
# 对grade.txt和old_grade.txt两个文件的内容进行比对，输出成绩是否更新
if grade_content == old_grade_content:
print("成绩未更新")
else:
print("成绩已更新")
response_text = send_message(token, "教务成绩已更新", integrate_send_info)
print(response_text)
response_text = send_message(token, "教务成绩已更新", integrated_send_info)
# 更新firstrun.txt文件内容为false
if open(firstrun_file_path).read() == "true":
with open(firstrun_file_path, "w") as firstrun_file:
# 将firstrun.txt文件内容更新为false
firstrun_file.write("false")
# 解析 JSON 数据
response_dict = json.loads(response_text)
# 删除 "data" 字段
if "data" in response_dict:
response_dict.pop("data")
# 输出响应内容
print(response_dict)
# 更新info.txt
with open(info_file_path, "r") as info_file:
info_file_content = info_file.read()
if info_file_content != encrypted_info:
with open("info.txt", "w") as info_file:
info_file.write(encrypted_info)
# 删除 __pycache__ 缓存目录及其内容
current_directory = os.getcwd()
cache_folder = os.path.join(current_directory, "__pycache__")
# 检查目录是否存在
if os.path.exists(cache_folder):
# 删除目录及其内容
shutil.rmtree(cache_folder)
# 其他日志
print(f"run_count：{run_count}")
old_grade.txt
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7dc2891c3afbd76dca4f11295afc5065
zfn_api.py
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@@ -210,8 +210,24 @@ class Client:
return self._get_info()
result = {
"sid": info.get("xh"),
"class_name": info.get("bh_id", info.get("xjztdm")),
"name": info.get("xm"),
"college_name": info.get("zsjg_id", info.get("jg_id")),
"major_name": info.get("zszyh_id", info.get("zyh_id")),
"class_name": info.get("bh_id", info.get("xjztdm")),
"status": info.get("xjztdm"),
"enrollment_date": info.get("rxrq"),
"candidate_number": info.get("ksh"),
"graduation_school": info.get("byzx"),
"domicile": info.get("jg"),
"postal_code": info.get("yzbm"),
"politics_status": info.get("zzmmm"),
"nationality": info.get("mzm"),
"education": info.get("pyccdm"),
"phone_number": info.get("sjhm"),
"parents_number": info.get("gddh"),
"email": info.get("dzyx"),
"birthday": info.get("csrq"),
"id_number": info.get("zjhm"),
}
return {"code": 1000, "msg": "获取个人信息成功", "data": result}
except exceptions.Timeout:
@@ -411,9 +427,18 @@ class Client:
"course_id": i.get("kch_id"),
"title": i.get("kcmc"),
"teacher": i.get("jsxm"),
"class_name": i.get("jxbmc"),
"credit": self.align_floats(i.get("xf")),
"category": i.get("kclbmc"),
"nature": i.get("kcxzmc"),
"grade": self.parse_int(i.get("cj")),
"grade_point": self.align_floats(i.get("jd")),
"grade_nature": i.get("ksxz"),
"start_college": i.get("kkbmmc"),
"mark": i.get("kcbj"),
"submission_time": i.get("tjsj"),
"name_of_submitter": i.get("tjrxm"),
"xfjd": i.get("xfjd"),
}
for i in grade_items
],