Code refactoring and optimization: remove duplicate code, simplify grade processing logic, and improve code readability and maintainability.
This commit is contained in:
NianBroken
@@ -57,6 +57,7 @@ jobs:
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id: run_main_program
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env:
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FORCE_PUSH_MESSAGE: ${{ github.event.inputs.force_push_message }}
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GITHUB_ACTIONS: ${{github.actions}}
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URL: ${{ secrets.URL }}
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USERNAME: ${{ secrets.USERNAME }}
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PASSWORD: ${{ secrets.PASSWORD }}
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@@ -0,0 +1,60 @@
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def get_grade(student_client, output_type="none"):
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# 获取成绩信息
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grade_data = student_client.get_grade("").get("data", {})
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grade = grade_data.get("courses", [])
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# 遍历 grade 中的每个字典，将 title 中的中文括号替换为英文括号
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for course_data_grade in grade:
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course_data_grade["title"] = (
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course_data_grade["title"].replace("（", "(").replace("）", ")")
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)
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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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# 学分总和
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total_credit = sum(float(course["credit"]) for course in grade)
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# 学分绩点总和
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total_xfjd = sum(float(course["xfjd"]) for course in grade)
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# (百分制成绩*学分)的总和
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sum_of_percentage_grades_multiplied_by_credits = sum(
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float(course["percentage_grades"]) * float(course["credit"]) for course in grade
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)
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# GPA计算 (学分*绩点)的总和/学分总和
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gpa = "{:.2f}".format(total_xfjd / total_credit)
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# 百分制GPA计算 (百分制成绩*学分)的总和/学分总和
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percentage_gpa = "{:.2f}".format(
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sum_of_percentage_grades_multiplied_by_credits / total_credit
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)
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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条成绩信息
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for _, course in enumerate(sorted_grade[:8]):
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# 整合成绩信息
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integrated_grade_info += (
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f"\n"
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f"教学班ID：{course['class_id']}\n"
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f"课程名称：{course['title']}\n"
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f"任课教师：{course['teacher']}\n"
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f"成绩：{course['grade']}\n"
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f"提交时间：{course['submission_time']}\n"
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f"提交人姓名：{course['name_of_submitter']}\n"
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f"------"
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)
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if output_type == "grade":
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return grade
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elif output_type == "gpa":
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return gpa
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elif output_type == "percentage_gpa":
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return percentage_gpa
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elif output_type == "integrated_grade_info":
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return integrated_grade_info
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else:
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return "获取成绩：参数缺失"
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+30
@@ -0,0 +1,30 @@
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from get_grade import get_grade
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def get_info(student_client, output_type="none"):
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# 获取个人信息
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info = student_client.get_info()["data"]
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# 整合个人信息
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info = (
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f"个人信息：\n"
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f"学号：{info['sid']}\n"
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f"班级：{info['class_name']}\n"
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f"姓名：{info['name']}"
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)
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grade = get_grade(student_client, output_type="grade")
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gpa = get_grade(student_client, output_type="gpa")
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percentage_gpa = get_grade(student_client, output_type="percentage_gpa")
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if grade:
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# 整合个人信息
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gpa_info = f"\n当前GPA：{gpa}\n" f"当前百分制GPA：{percentage_gpa}\n" f"------"
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integrated_info = f"{info}{gpa_info}"
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if output_type == "info":
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return info
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elif output_type == "integrated_info":
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return integrated_info
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else:
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return "获取个人信息：参数缺失"
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@@ -0,0 +1,79 @@
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from get_grade import get_grade
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def get_selected_courses(student_client):
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# 获取成绩信息
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grade = get_grade(student_client, output_type="grade")
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# 获取已选课程信息
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selected_courses_data = student_client.get_selected_courses().get("data", {})
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selected_courses = selected_courses_data.get("courses", [])
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# 已选课程信息不为空时,处理未公布成绩的课程和异常课程
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if selected_courses:
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# 初始化空字典用于存储未公布成绩的课程,按学年学期分组
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ungraded_courses_by_semester = {}
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# 初始化空字典用于存储异常的课程,按学年学期分组
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abnormal_courses_by_semester = {}
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# 获取成绩列表中的class_id集合
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grade_class_ids = {course["class_id"] for course in grade}
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# 初始化输出内容
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selected_courses_filtering = ""
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# 遍历selected_courses和grade中的每个课程
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for course in selected_courses + grade:
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# 获取课程的class_id和学年学期
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yearsemester_id = course["class_name"].split("(")[1].split(")")[0]
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year, semester, seq = yearsemester_id.split("-")
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# 构建年学期名称,例如 "a至b学年第c学期"
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yearsemester_name = f"{year}至{semester}学年第{seq}学期"
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# 判断课程是否未公布成绩或为异常课程
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if course["class_id"] not in grade_class_ids:
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# 未公布成绩
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ungraded_courses_by_semester.setdefault(yearsemester_name, []).append(
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f"{course['title'].replace('（', '(').replace('）', ')')} - {course['teacher']}"
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)
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elif course["class_id"] not in {
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course["class_id"] for course in selected_courses
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}:
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# 异常课程
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abnormal_courses_by_semester.setdefault(yearsemester_name, []).append(
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f"{course['title'].replace('（', '(').replace('）', ')')} - {course['teacher']}"
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)
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# 构建输出内容
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if ungraded_courses_by_semester:
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# 存在未公布成绩的课程
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selected_courses_filtering += "------\n未公布成绩的课程："
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for i, (semester, courses) in enumerate(
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ungraded_courses_by_semester.items()
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):
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if i > 0:
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selected_courses_filtering += "\n------"
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selected_courses_filtering += f"\n{semester}："
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for course in courses:
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selected_courses_filtering += f"\n{course}"
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if abnormal_courses_by_semester:
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# 存在异常的课程
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if ungraded_courses_by_semester:
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# 如果存在课程,添加分隔线
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selected_courses_filtering += "\n"
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selected_courses_filtering += "------\n异常的课程："
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for i, (semester, courses) in enumerate(
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abnormal_courses_by_semester.items()
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):
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if i > 0:
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selected_courses_filtering += "\n------"
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selected_courses_filtering += f"\n{semester}："
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for course in courses:
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selected_courses_filtering += f"\n{course}"
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else:
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selected_courses_filtering = "------\n已选课程信息为空"
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return selected_courses_filtering
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@@ -1,17 +1,23 @@
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# 必要的依赖库
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import re
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import base64
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import hashlib
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import os
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import sys
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import shutil
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import json
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from pprint import pprint
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from zfn_api import Client
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from user_login import login
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from get_info import get_info
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from get_grade import get_grade
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from get_selected_courses import get_selected_courses
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from pushplus import send_message
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# MD5加密
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def md5_encrypt(string):
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return hashlib.md5(string.encode()).hexdigest()
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# 从环境变量中提取教务系统的URL、用户名、密码和TOKEN等信息
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force_push_message = os.environ.get("FORCE_PUSH_MESSAGE")
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github_actions = os.environ.get("GITHUB_ACTIONS")
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url = os.environ.get("URL")
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username = os.environ.get("USERNAME")
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password = os.environ.get("PASSWORD")
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@@ -41,71 +47,21 @@ run_count = 2
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# 初始化运行日志
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run_log = ""
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# MD5加密
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def md5_encrypt(string):
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return hashlib.md5(string.encode()).hexdigest()
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# 初始化变量
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cookies = {}
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base_url = url
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raspisanie = []
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ignore_type = []
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detail_category_type = []
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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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student_client = Client(
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cookies=cookies,
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base_url=base_url,
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raspisanie=raspisanie,
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ignore_type=ignore_type,
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detail_category_type=detail_category_type,
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timeout=timeout,
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)
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# 登录
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if not cookies:
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login_result = student_client.login(username, password)
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if login_result["code"] == 1001:
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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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# 将验证码图片写入文件
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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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# 输入验证码
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verify_data["kaptcha"] = input("输入验证码：")
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# 使用验证码进行登录
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login_result = student_client.login_with_kaptcha(**verify_data)
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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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pprint(login_result)
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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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student_client = login(url, username, password)
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# 获取个人信息
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info = student_client.get_info()["data"]
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info = get_info(student_client, output_type="info")
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# 整合个人信息
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integrated_info = (
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f"个人信息：\n"
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f"学号：{info['sid']}\n"
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f"班级：{info['class_name']}\n"
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f"姓名：{info['name']}"
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)
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# 获取完整个人信息
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integrated_info = get_info(student_client, output_type="integrated_info")
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# 加密个人信息
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encrypted_info = md5_encrypt(integrated_info)
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encrypted_info = md5_encrypt(info)
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# 判断info.txt文件是否存在
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if not os.path.exists(info_file_path):
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# 如果文件不存在,创建并写入encrypted_info的内容
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# 如果文件不存在,创建并写入加密后的个人信息
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with open(info_file_path, "w") as info_file:
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info_file.write(encrypted_info)
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else:
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@@ -134,59 +90,16 @@ for _ in range(run_count):
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old_grade_file.write(grade_file.read())
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# 获取成绩信息
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grade_data = student_client.get_grade("").get("data", {})
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grade = grade_data.get("courses", [])
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grade = get_grade(student_client, output_type="grade")
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# 成绩不为空时则对成绩信息进行处理
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# 成绩不为空时
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if grade:
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# 遍历 grade 中的每个字典，将 title 中的中文括号替换为英文括号
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for course_data_grade in grade:
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course_data_grade["title"] = (
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course_data_grade["title"].replace("（", "(").replace("）", ")")
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)
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# 清空grade.txt文件内容
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with open(grade_file_path, "w") as grade_file:
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grade_file.truncate()
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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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# 学分总和
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total_credit = sum(float(course["credit"]) for course in grade)
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# 学分绩点总和
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total_xfjd = sum(float(course["xfjd"]) for course in grade)
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# (百分制成绩*学分)的总和
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sum_of_percentage_grades_multiplied_by_credits = sum(
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float(course["percentage_grades"]) * float(course["credit"])
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for course in grade
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)
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# GPA计算 (学分*绩点)的总和/学分总和
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gpa = "{:.2f}".format(total_xfjd / total_credit)
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# 百分制GPA计算 (百分制成绩*学分)的总和/学分总和
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percentage_gpa = "{:.2f}".format(
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sum_of_percentage_grades_multiplied_by_credits / total_credit
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)
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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条成绩信息
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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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integrated_grade_info += (
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f"\n"
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f"教学班ID：{course['class_id']}\n"
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f"课程名称：{course['title']}\n"
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f"任课教师：{course['teacher']}\n"
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f"成绩：{course['grade']}\n"
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f"提交时间：{course['submission_time']}\n"
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f"提交人姓名：{course['name_of_submitter']}\n"
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f"------"
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integrated_grade_info = get_grade(
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student_client, output_type="integrated_grade_info"
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)
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else:
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# 成绩为空时将成绩信息定义为"成绩为空"
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@@ -199,13 +112,6 @@ for _ in range(run_count):
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with open(grade_file_path, "w") as grade_file:
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grade_file.write(encrypted_integrated_grade_info)
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# 成绩信息不为空时整合GPA信息
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if grade:
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# 整合个人信息
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integrated_info += (
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f"\n当前GPA：{gpa}\n" f"当前百分制GPA：{percentage_gpa}\n" f"------"
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)
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# 读取grade.txt和old_grade.txt文件的内容
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with open(grade_file_path, "r") as grade_file, open(
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old_grade_file_path, "r"
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@@ -216,71 +122,8 @@ with open(grade_file_path, "r") as grade_file, open(
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# 整合MD5值
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integrated_grade_info += f"\n" f"MD5：{encrypted_integrated_grade_info}"
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# 获取已选课程信息
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selected_courses_data = student_client.get_selected_courses().get("data", {})
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selected_courses = selected_courses_data.get("courses", [])
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# 已选课程信息不为空时,处理未公布成绩的课程和异常课程
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if selected_courses:
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# 初始化空字典用于存储未公布成绩的课程,按学年学期分组
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ungraded_courses_by_semester = {}
|
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# 初始化空字典用于存储异常的课程,按学年学期分组
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abnormal_courses_by_semester = {}
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# 获取成绩列表中的class_id集合
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grade_class_ids = {course["class_id"] for course in grade}
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# 初始化输出内容
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selected_courses_filtering = ""
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# 遍历selected_courses和grade中的每个课程
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for course in selected_courses + grade:
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# 获取课程的class_id和学年学期
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yearsemester_id = course["class_name"].split("(")[1].split(")")[0]
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year, semester, seq = yearsemester_id.split("-")
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# 构建年学期名称,例如 "a至b学年第c学期"
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yearsemester_name = f"{year}至{semester}学年第{seq}学期"
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# 判断课程是否未公布成绩或为异常课程
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if course["class_id"] not in grade_class_ids:
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# 未公布成绩
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ungraded_courses_by_semester.setdefault(yearsemester_name, []).append(
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f"{course['title'].replace('（', '(').replace('）', ')')} - {course['teacher']}"
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)
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elif course["class_id"] not in {
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course["class_id"] for course in selected_courses
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}:
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# 异常课程
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abnormal_courses_by_semester.setdefault(yearsemester_name, []).append(
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f"{course['title'].replace('（', '(').replace('）', ')')} - {course['teacher']}"
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)
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# 构建输出内容
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if ungraded_courses_by_semester:
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# 存在未公布成绩的课程
|
||||
selected_courses_filtering += "------\n未公布成绩的课程："
|
||||
for i, (semester, courses) in enumerate(ungraded_courses_by_semester.items()):
|
||||
if i > 0:
|
||||
selected_courses_filtering += "\n------"
|
||||
selected_courses_filtering += f"\n{semester}："
|
||||
for course in courses:
|
||||
selected_courses_filtering += f"\n{course}"
|
||||
|
||||
if abnormal_courses_by_semester:
|
||||
# 存在异常的课程
|
||||
if ungraded_courses_by_semester:
|
||||
# 如果存在课程,添加分隔线
|
||||
selected_courses_filtering += "\n"
|
||||
selected_courses_filtering += "------\n异常的课程："
|
||||
for i, (semester, courses) in enumerate(abnormal_courses_by_semester.items()):
|
||||
if i > 0:
|
||||
selected_courses_filtering += "\n------"
|
||||
selected_courses_filtering += f"\n{semester}："
|
||||
for course in courses:
|
||||
selected_courses_filtering += f"\n{course}"
|
||||
else:
|
||||
selected_courses_filtering = "------\n已选课程信息为空"
|
||||
# 获取未公布成绩的课程和异常的课程
|
||||
selected_courses_filtering = get_selected_courses(student_client)
|
||||
|
||||
# 工作流信息
|
||||
workflow_info = (
|
||||
@@ -297,6 +140,14 @@ workflow_info = (
|
||||
f"Beijing Time：{beijing_time}"
|
||||
)
|
||||
|
||||
# 第一次运行时的提示文本
|
||||
first_run_text = (
|
||||
"你的程序运行成功\n"
|
||||
"从现在开始,程序将会每隔 30 分钟自动检测一次成绩是否有更新\n"
|
||||
"若有更新,将通过微信推送及时通知你\n"
|
||||
"------"
|
||||
)
|
||||
|
||||
# 整合所有信息
|
||||
# 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)
|
||||
@@ -307,15 +158,6 @@ integrated_send_info = (
|
||||
f"{workflow_info}"
|
||||
)
|
||||
|
||||
# 第一次运行时的提示文本
|
||||
first_run_text = (
|
||||
"你的程序运行成功\n"
|
||||
"从现在开始,程序将会每隔 30 分钟自动检测一次成绩是否有更新\n"
|
||||
"若有更新,将通过微信推送及时通知你\n"
|
||||
"------"
|
||||
)
|
||||
|
||||
|
||||
# 整合首次运行时需要使用到的所有信息
|
||||
first_time_run_integrated_send_info = f"{first_run_text}\n" f"{integrated_send_info}"
|
||||
|
||||
@@ -337,15 +179,8 @@ if run_count == 2:
|
||||
first_time_run_integrated_send_info,
|
||||
)
|
||||
|
||||
# 解析 JSON 数据
|
||||
first_run_text_response_dict = json.loads(first_run_text_response_text)
|
||||
|
||||
# 删除 "data" 字段
|
||||
if "data" in first_run_text_response_dict:
|
||||
first_run_text_response_dict.pop("data")
|
||||
|
||||
# 输出响应内容
|
||||
run_log += f"{first_run_text_response_dict}\n"
|
||||
run_log += f"{first_run_text_response_text}\n"
|
||||
else:
|
||||
# 如果非第一次运行,则输出成绩信息
|
||||
if grade:
|
||||
@@ -366,16 +201,8 @@ else:
|
||||
"正方教务管理系统成绩推送",
|
||||
grades_updated_push_integrated_send_info,
|
||||
)
|
||||
|
||||
# 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
|
||||
run_log += f"{response_dict}\n"
|
||||
run_log += f"{response_text}\n"
|
||||
else:
|
||||
run_log += "成绩未更新"
|
||||
|
||||
@@ -397,6 +224,7 @@ if run_log:
|
||||
# 将任意个数的换行替换为两个换行
|
||||
github_step_summary_run_log = re.sub("\n+", "\n\n", github_step_summary_run_log)
|
||||
|
||||
if github_actions:
|
||||
# 将 github_step_summary_run_log 写入到 GitHub Actions 的环境文件中
|
||||
with open(github_step_summary, "w", encoding="utf-8") as file:
|
||||
file.write(github_step_summary_run_log)
|
||||
|
||||
+6
-1
@@ -8,5 +8,10 @@ def send_message(token, title, content):
|
||||
body = json.dumps(data).encode(encoding="utf-8")
|
||||
headers = {"Content-Type": "application/json"}
|
||||
response = requests.post(url, data=body, headers=headers)
|
||||
# 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")
|
||||
|
||||
return response.text
|
||||
return response_dict
|
||||
|
||||
@@ -0,0 +1,41 @@
|
||||
import base64
|
||||
import os
|
||||
import sys
|
||||
from pprint import pprint
|
||||
from zfn_api import Client
|
||||
|
||||
|
||||
def login(url, username, password):
|
||||
cookies = {}
|
||||
base_url = url
|
||||
raspisanie = []
|
||||
ignore_type = []
|
||||
detail_category_type = []
|
||||
timeout = 5
|
||||
|
||||
student_client = Client(
|
||||
cookies=cookies,
|
||||
base_url=base_url,
|
||||
raspisanie=raspisanie,
|
||||
ignore_type=ignore_type,
|
||||
detail_category_type=detail_category_type,
|
||||
timeout=timeout,
|
||||
)
|
||||
|
||||
if cookies == {}:
|
||||
lgn = student_client.login(username, password)
|
||||
if lgn["code"] == 1001:
|
||||
verify_data = lgn["data"]
|
||||
with open(os.path.abspath("kaptcha.png"), "wb") as pic:
|
||||
pic.write(base64.b64decode(verify_data.pop("kaptcha_pic")))
|
||||
verify_data["kaptcha"] = input("输入验证码：")
|
||||
ret = student_client.login_with_kaptcha(**verify_data)
|
||||
if ret["code"] != 1000:
|
||||
pprint(ret)
|
||||
sys.exit()
|
||||
pprint(ret)
|
||||
elif lgn["code"] != 1000:
|
||||
pprint(lgn)
|
||||
sys.exit()
|
||||
|
||||
return student_client
|
||||
Reference in New Issue
Block a user