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Add main.py

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zhxy-CN 2022-10-11 17:40:08 +08:00
commit 7927a7e1be
Signed by: zhxycn
GPG Key ID: CC305996B88B3C03
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# -*-coding:utf-8-*-
import asyncio
import os
import platform
import sys
import time
try:
from httpx import AsyncClient
except ImportError:
print("请先安装 httpx 库")
sys.exit(1)
try:
from prettytable import PrettyTable
except ImportError:
print("请先安装 prettytable 库")
sys.exit(1)
# 请修改以下设置
cookie = "COOKIE" # Cookie, 以 hfs-session-id= 开头
refresh_time = "60" # 刷新时间, 单位秒
# 配置结束, 请勿修改以下内容
headers = {
"Connection": "keep-alive",
"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",
"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",
"Accept-Encoding": "gzip, deflate, br",
"Accept-Language": "zh-CN,zh;q=0.9",
"Cookie": cookie
}
def clear():
if platform.system() == "Windows":
os.system("cls")
else:
os.system("clear")
async def main():
while True:
try:
async with AsyncClient() as client:
url_exam_list = "https://hfs-be.yunxiao.com/v3/exam/list"
req = await client.get(url=url_exam_list, headers=headers)
exam_id = str(req.json()["data"]["list"][0]["examId"])
exam_name = str(req.json()["data"]["list"][0]["name"])
exam_score_full = str(req.json()["data"]["list"][0]["manfen"])
exam_score = str(req.json()["data"]["list"][0]["score"])
exam_rank_class = str(req.json()["data"]["list"][0]["classRank"])
url_exam_info = f"https://hfs-be.yunxiao.com/v3/exam/{exam_id}/same-group-analysis"
req = await client.get(url=url_exam_info, headers=headers)
exam_score_avg_class = str(req.json()["data"]["classAvg"])
exam_score_avg_grade = str(req.json()["data"]["gradeAvg"])
url_exam_detail = f"https://hfs-be.yunxiao.com/v3/exam/{exam_id}/papers-analysis"
req = await client.get(url=url_exam_detail, headers=headers)
exam_papers = req.json()["data"]["papers"]
length_exam_papers = len(exam_papers)
result = (
"以下是最近一次考试的信息:\n\n" +
exam_name + " | 刷新时间: " + time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) + "\n\n" +
"个人总分: " + f"\033[32m{exam_score}\033[0m" + "/" + exam_score_full + " 班级平均分: " +
exam_score_avg_class + " 年级平均分: " + exam_score_avg_grade + " 班级排名: " +
exam_rank_class + "\n\n" + "各科成绩:"
)
table = PrettyTable(
["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"])
for i in range(length_exam_papers):
exam_paper_id = str(exam_papers[i]["paperId"])
exam_subject = str(exam_papers[i]["subject"])
exam_subject_score = str(exam_papers[i]["score"])
exam_subject_score_full = str(exam_papers[i]["manfen"])
exam_subject_score_avg_class = str(exam_papers[i]["classAvg"])
exam_subject_score_avg_grade = str(exam_papers[i]["gradeAvg"])
url_exam_subject_rank = f"https://hfs-be.yunxiao.com/v3/exam/" \
f"{exam_id}/papers/{exam_paper_id}/rank-info"
req = await client.get(url=url_exam_subject_rank, headers=headers)
exam_subject_highest_class = str(req.json()["data"]["highest"]["class"])
exam_subject_highest_grade = str(req.json()["data"]["highest"]["grade"])
exam_subject_rank_class = str(req.json()["data"]["rank"]["class"])
exam_subject_rank_grade = str(req.json()["data"]["rank"]["grade"])
table.add_row([exam_subject, f"\033[32m{exam_subject_score}\033[0m/{exam_subject_score_full}",
exam_subject_score_avg_class, exam_subject_score_avg_grade,
exam_subject_highest_class, exam_subject_highest_grade, exam_subject_rank_class,
exam_subject_rank_grade])
clear()
print(result)
print(table)
except BaseException as e:
print("获取失败: Error: ", e, " Time: ", time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
await asyncio.sleep(float(refresh_time))
if __name__ == '__main__':
tasks = [main() for _ in range(1)]
loop = asyncio.get_event_loop()
loop.run_until_complete(asyncio.wait(tasks))
loop.close()