mirror of
https://github.com/zhxycn/haofenshu.git
synced 2024-11-16 03:55:23 +00:00
118 lines
5.1 KiB
Python
118 lines
5.1 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 = (
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f"https://hfs-be.yunxiao.com/v3/exam/{exam_id}/same-group-analysis"
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)
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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 = (
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f"https://hfs-be.yunxiao.com/v3/exam/{exam_id}/papers-analysis"
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)
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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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general = (
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f"以下是最近一次考试的信息:\n\n{exam_name} | 刷新时间: "
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f"{time.strftime('%Y-%m-%d %H:%M:%S', time.localtime())}\n\n个人总分: "
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f"\033[32m{exam_score}\033[0m/{exam_score_full} 班级平均分: {exam_score_avg_class} "
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f"年级平均分: {exam_score_avg_grade} 班级排名: {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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)
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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 = (
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f"https://hfs-be.yunxiao.com/v3/exam/{exam_id}"
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f"/papers/{exam_paper_id}/rank-info"
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)
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req = await client.get(url=url_exam_subject_rank, headers=headers)
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exam_subject_highest_class = str(
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req.json()["data"]["highest"]["class"]
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)
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exam_subject_highest_grade = str(
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req.json()["data"]["highest"]["grade"]
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)
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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(
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[
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exam_subject,
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f"\033[32m{exam_subject_score}\033[0m/{exam_subject_score_full}",
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exam_subject_score_avg_class,
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exam_subject_score_avg_grade,
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exam_subject_highest_class,
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exam_subject_highest_grade,
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exam_subject_rank_class,
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exam_subject_rank_grade,
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]
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)
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clear()
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print(general)
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print(table)
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except BaseException as e:
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print(
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f"获取失败: Error: {e} | Time: {time.strftime('%Y-%m-%d %H:%M:%S', time.localtime())}"
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)
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await asyncio.sleep(float(refresh_time))
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if __name__ == "__main__":
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asyncio.run(main())
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