AutoWeiBan/main.py at master · whitebear354/AutoWeiBan · GitHub

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import WeiBanAPI
import json
import time  # time.sleep延时
import os  # 兼容文件系统
import random

tenantCode = '51900002'  # 吉珠院校ID

# License
licenseFile = open('.' + os.sep + 'LICENSE', encoding='utf-8')
print(licenseFile.read())
licenseFile.close()

print(
        '默认院校为吉林大学珠海学院，ID:' + tenantCode + '\n'
        + '若有需要，请自行抓包获取院校ID修改' + '\n'
)

# 登录信息输入
account = input('请输入账号\n')
password = input('请输入密码\n')

# 获取Cookies
print('\n获取Cookies中')
cookie = WeiBanAPI.getCookie()
print('Cookies获取成功')
time.sleep(2)

randomTimeStamp = random.randint(100000000, 1000000000000)
print('验证码,浏览器打开 https://weiban.mycourse.cn/pharos/login/randImage.do?time=' + str(randomTimeStamp))

verifyCode = input('请输入验证码')

# 登录请求
loginResponse = WeiBanAPI.login(account, password, tenantCode, randomTimeStamp, verifyCode, cookie)

try:
    print('登录成功，userName:' + loginResponse['data']['userName'])
    time.sleep(2)
except BaseException:
    print('登录失败')
    print(loginResponse)  # TODO: 这里的loginResponse调用没有考虑网络错误等问题
    exit(0)

# 请求解析并打印用户信息
try:
    print('请求用户信息')
    stuInfoResponse = WeiBanAPI.getStuInfo(loginResponse['data']['userId'],
                                           tenantCode,
                                           cookie)
    print('用户信息：' + stuInfoResponse['data']['realName'] + '\n'
          + stuInfoResponse['data']['orgName']
          + stuInfoResponse['data']['specialtyName']
          )
    time.sleep(2)
except BaseException:
    print('解析用户信息失败，将尝试继续运行，请注意运行异常')

# 请求课程完成进度
try:
    getProgressResponse = WeiBanAPI.getProgress(loginResponse['data']['preUserProjectId'],
                                                tenantCode,
                                                cookie)
    print('课程总数：' + str(getProgressResponse['data']['courseNum']) + '\n'
          + '完成课程：' + str(getProgressResponse['data']['courseFinishedNum']) + '\n'
          + '结束时间' + str(getProgressResponse['data']['endTime']) + '\n'
          + '剩余天数' + str(getProgressResponse['data']['lastDays'])
          )
    time.sleep(2)
except BaseException:
    print('解析课程进度失败，将尝试继续运行，请注意运行异常')

# 请求课程列表
try:
    getListCourseResponse = WeiBanAPI.getListCourse(loginResponse['data']['preUserProjectId'],
                                                    '3',
                                                    tenantCode,
                                                    '',
                                                    cookie)
    time.sleep(2)
except BaseException:
    print('请求课程列表失败')

print('解析课程列表并发送完成请求')

for i in getListCourseResponse['data']:
    print('\n----章节码：' + i['categoryCode'] + '章节内容：' + i['categoryName'])
    for j in i['courseList']:
        print('课程内容：' + j['resourceName'] + '\nuserCourseId:' + j['userCourseId'])

        if(j['finished'] == 1):
            print('已完成')
        else:
            print('发送完成请求')
            WeiBanAPI.doStudy(loginResponse['data']['preUserProjectId'] ,j['resourceId'], tenantCode)
            WeiBanAPI.finishCourse(j['userCourseId'], tenantCode, cookie)

            delayInt = WeiBanAPI.getRandomTime()
            print('\n随机延时' + str(delayInt))
            time.sleep(delayInt)