Added a time ordering and explained what the Apache-2.0 license means.
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@@ -26,6 +26,7 @@
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1. 显示成绩提交时间(成绩在何时被录入进教务系统)
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1. 显示成绩提交时间(成绩在何时被录入进教务系统)
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2. 显示成绩提交人姓名(成绩被谁录入进教务系统)
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2. 显示成绩提交人姓名(成绩被谁录入进教务系统)
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3. 成绩信息按时间排序(最新的成绩在最上方)
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## 使用方法
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## 使用方法
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@@ -74,6 +75,10 @@ _若你看不懂上述使用方法,你可以查看[详细使用方法](https:/
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_若是第一次运行程序,上述步骤会执行两遍_
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_若是第一次运行程序,上述步骤会执行两遍_
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## 许可证
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该项目采用Apache-2.0许可证。简单来说,你可以自由使用、修改和分享该项目的代码,但前提是在其派生作品中必须保留原始许可证和版权信息,并且必须以相同的许可证发布所有修改过的代码。
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## 特别感谢
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## 特别感谢
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[openschoolcn/zfn_api](https://github.com/openschoolcn/zfn_api "openschoolcn/zfn_api")
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[openschoolcn/zfn_api](https://github.com/openschoolcn/zfn_api "openschoolcn/zfn_api")
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false
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@@ -6,7 +6,7 @@ from pprint import pprint
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from zfn_api import Client
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from zfn_api import Client
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from pushplus import send_message
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from pushplus import send_message
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# 教务系统的URL、用户名和密码
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# 从环境变量获取教务系统的URL、用户名和密码
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url = os.environ.get("URL")
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url = os.environ.get("URL")
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username = os.environ.get("USERNAME")
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username = os.environ.get("USERNAME")
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password = os.environ.get("PASSWORD")
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password = os.environ.get("PASSWORD")
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@@ -14,21 +14,20 @@ password = os.environ.get("PASSWORD")
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# 定义一个md5加密的封装函数
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# 定义一个md5加密的封装函数
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def md5_encrypt(string):
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def md5_encrypt(string):
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# 将字符串转换为字节
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byte_string = string.encode()
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byte_string = string.encode()
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# 创建一个MD5对象
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md5_object = hashlib.md5(byte_string)
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md5_object = hashlib.md5(byte_string)
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# 返回MD5加密后的十六进制字符串
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return md5_object.hexdigest()
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return md5_object.hexdigest()
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# 初始化相关变量
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# 初始化相关变量
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cookies = {} # 初始化cookies为空字典
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cookies = {}
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base_url = url
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base_url = url
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raspisanie = []
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raspisanie = []
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ignore_type = []
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ignore_type = []
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detail_category_type = []
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detail_category_type = []
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timeout = 5
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timeout = 5
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# 创建教务系统客户端对象
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stu = Client(
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stu = Client(
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cookies=cookies,
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cookies=cookies,
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base_url=base_url,
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base_url=base_url,
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@@ -40,24 +39,28 @@ stu = Client(
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# 如果cookies为空字典,则进行登录
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# 如果cookies为空字典,则进行登录
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if not cookies:
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if not cookies:
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lgn = stu.login(username, password)
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login_result = stu.login(username, password)
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if lgn["code"] == 1001:
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verify_data = lgn["data"]
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if login_result["code"] == 1001:
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# 将验证码保存为图片文件
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# 如果需要验证码,获取验证码并进行登录
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verify_data = login_result["data"]
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with open(os.path.abspath("kaptcha.png"), "wb") as pic:
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with open(os.path.abspath("kaptcha.png"), "wb") as pic:
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pic.write(base64.b64decode(verify_data.pop("kaptcha_pic")))
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pic.write(base64.b64decode(verify_data.pop("kaptcha_pic")))
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verify_data["kaptcha"] = input("输入验证码:")
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verify_data["kaptcha"] = input("输入验证码:")
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ret = stu.login_with_kaptcha(**verify_data)
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login_result = stu.login_with_kaptcha(**verify_data)
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if ret["code"] != 1000:
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pprint(ret)
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if login_result["code"] != 1000:
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pprint(login_result)
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sys.exit()
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sys.exit()
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pprint(ret)
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pprint(login_result)
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elif lgn["code"] != 1000:
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pprint(lgn)
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elif login_result["code"] != 1000:
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pprint(login_result)
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sys.exit()
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sys.exit()
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# 获取个人信息
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# 获取个人信息
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info = stu.get_info()["data"]
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info = stu.get_info()["data"]
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# 整合个人信息
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# 整合个人信息
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integrate_info = (
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integrate_info = (
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f"个人信息:\n" f"学号:{info['sid']}\n" f"班级:{info['class_name']}\n" f"姓名:{info['name']}"
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f"个人信息:\n" f"学号:{info['sid']}\n" f"班级:{info['class_name']}\n" f"姓名:{info['name']}"
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@@ -73,14 +76,15 @@ if not os.path.exists(firstrun_file_path):
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# 第一次运行则运行两遍,否则运行一遍
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# 第一次运行则运行两遍,否则运行一遍
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run_count = 2 if open(firstrun_file_path).read() == "true" else 1
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run_count = 2 if open(firstrun_file_path).read() == "true" else 1
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for _ in range(run_count):
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for _ in range(run_count):
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# 如果grade.txt文件不存在,创建文件
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# 如果grade.txt文件不存在,创建文件
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if not os.path.exists("grade.txt"):
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if not os.path.exists("grade.txt"):
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open("grade.txt", "w").close()
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open("grade.txt", "w").close()
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# 清空old_grade.txt文件内容
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# 清空old_grade.txt文件内容
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with open("old_grade.txt", "w"):
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with open("old_grade.txt", "w") as old_grade_file:
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pass
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old_grade_file.truncate()
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# 将grade.txt文件中的内容写入到old_grade.txt文件内。
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# 将grade.txt文件中的内容写入到old_grade.txt文件内。
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with open("grade.txt", "r") as grade_file, open(
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with open("grade.txt", "r") as grade_file, open(
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@@ -89,13 +93,20 @@ for _ in range(run_count):
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old_grade_file.write(grade_file.read())
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old_grade_file.write(grade_file.read())
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# 清空grade.txt文件内容
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# 清空grade.txt文件内容
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with open("grade.txt", "w"):
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with open("grade.txt", "w") as grade_file:
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pass
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grade_file.truncate()
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# 将下列代码输出的所有内容都写入到grade.txt文件内。
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# 获取成绩信息
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integrated_grade_info = "成绩信息:"
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grade = stu.get_grade(2023)["data"]["courses"]
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grade = stu.get_grade(2023)["data"]["courses"]
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for course in grade:
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# 按照提交时间降序排序
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sorted_grade = sorted(grade, key=lambda x: x["submission_time"], reverse=True)
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# 初始化输出成绩信息字符串
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integrated_grade_info = "成绩信息:"
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# 遍历前8条按时间降序排序后的成绩列表
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for i, course in enumerate(sorted_grade[:8]):
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# 整合成绩信息
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# 整合成绩信息
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integrated_grade_info += (
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integrated_grade_info += (
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f"\n课程ID: {course['course_id']}\n"
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f"\n课程ID: {course['course_id']}\n"
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@@ -1 +0,0 @@
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3dbd9ebe6bedfc298fc13986f1da5291
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