mirror of
https://github.com/zhxycn/haofenshu.git
synced 2024-09-28 03:46:10 +00:00
101 lines
4.9 KiB
Python
101 lines
4.9 KiB
Python
# -*-coding:utf-8-*-
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import asyncio
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import os
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import platform
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import sys
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import time
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try:
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from httpx import AsyncClient
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except ImportError:
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print("请先安装 httpx 库")
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sys.exit(1)
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try:
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from prettytable import PrettyTable
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except ImportError:
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print("请先安装 prettytable 库")
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sys.exit(1)
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# 请修改以下设置
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cookie = "COOKIE" # Cookie, 以 hfs-session-id= 开头
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refresh_time = "60" # 刷新时间, 单位秒
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# 配置结束, 请勿修改以下内容
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headers = {
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"Connection": "keep-alive",
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/106.0.0.0 Safari/537.36 Edg/106.0.1370.37",
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"Accept-Encoding": "gzip, deflate, br",
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"Accept-Language": "zh-CN,zh;q=0.9",
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"Cookie": cookie
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}
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def clear():
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if platform.system() == "Windows":
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os.system("cls")
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else:
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os.system("clear")
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async def main():
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while True:
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try:
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async with AsyncClient() as client:
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url_exam_list = "https://hfs-be.yunxiao.com/v3/exam/list"
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req = await client.get(url=url_exam_list, headers=headers)
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exam_id = str(req.json()["data"]["list"][0]["examId"])
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exam_name = str(req.json()["data"]["list"][0]["name"])
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exam_score_full = str(req.json()["data"]["list"][0]["manfen"])
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exam_score = str(req.json()["data"]["list"][0]["score"])
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exam_rank_class = str(req.json()["data"]["list"][0]["classRank"])
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url_exam_info = f"https://hfs-be.yunxiao.com/v3/exam/{exam_id}/same-group-analysis"
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req = await client.get(url=url_exam_info, headers=headers)
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exam_score_avg_class = str(req.json()["data"]["classAvg"])
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exam_score_avg_grade = str(req.json()["data"]["gradeAvg"])
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url_exam_detail = f"https://hfs-be.yunxiao.com/v3/exam/{exam_id}/papers-analysis"
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req = await client.get(url=url_exam_detail, headers=headers)
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exam_papers = req.json()["data"]["papers"]
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length_exam_papers = len(exam_papers)
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result = (
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"以下是最近一次考试的信息:\n\n" +
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exam_name + " | 刷新时间: " + time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) + "\n\n" +
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"个人总分: " + f"\033[32m{exam_score}\033[0m" + "/" + exam_score_full + " 班级平均分: " +
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exam_score_avg_class + " 年级平均分: " + exam_score_avg_grade + " 班级排名: " +
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exam_rank_class + "\n\n" + "各科成绩:"
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)
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table = PrettyTable(
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["科目", "成绩", "班级平均分", "年级平均分", "班级最高分", "年级最高分", "班级排名", "年级排名"])
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for i in range(length_exam_papers):
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exam_paper_id = str(exam_papers[i]["paperId"])
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exam_subject = str(exam_papers[i]["subject"])
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exam_subject_score = str(exam_papers[i]["score"])
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exam_subject_score_full = str(exam_papers[i]["manfen"])
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exam_subject_score_avg_class = str(exam_papers[i]["classAvg"])
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exam_subject_score_avg_grade = str(exam_papers[i]["gradeAvg"])
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url_exam_subject_rank = f"https://hfs-be.yunxiao.com/v3/exam/" \
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f"{exam_id}/papers/{exam_paper_id}/rank-info"
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req = await client.get(url=url_exam_subject_rank, headers=headers)
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exam_subject_highest_class = str(req.json()["data"]["highest"]["class"])
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exam_subject_highest_grade = str(req.json()["data"]["highest"]["grade"])
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exam_subject_rank_class = str(req.json()["data"]["rank"]["class"])
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exam_subject_rank_grade = str(req.json()["data"]["rank"]["grade"])
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table.add_row([exam_subject, f"\033[32m{exam_subject_score}\033[0m/{exam_subject_score_full}",
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exam_subject_score_avg_class, exam_subject_score_avg_grade,
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exam_subject_highest_class, exam_subject_highest_grade, exam_subject_rank_class,
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exam_subject_rank_grade])
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clear()
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print(result)
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print(table)
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except BaseException as e:
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print("获取失败: Error: ", e, " Time: ", time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
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await asyncio.sleep(float(refresh_time))
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if __name__ == '__main__':
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tasks = [main() for _ in range(1)]
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loop = asyncio.get_event_loop()
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loop.run_until_complete(asyncio.wait(tasks))
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loop.close()
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