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tmp.py
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tmp.py
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# -*- coding: utf-8 -*-
# version 4
# developed by zk chen
import random
import time
import requests
import re
import json
# 以下的csrftoken和sessionid需要改成自己登录后的cookie中对应的字段！！！！而且脚本需在登录雨课堂状态下使用
# 登录上雨课堂，然后按F12-->选Application-->找到雨课堂的cookies，寻找csrftoken、sessionid、university_id字段，并复制到下面两行即可
csrftoken = "MXIUQBsUBnIfSk6tJJ8ztBg29tdwSnAu" # 需改成自己的
sessionid = "bzc2sgp9wp4q40w2lkjjgoa363tfeiap" # 需改成自己的
university_id = "3420" # 需改成自己的
# 按需修改域名 example:https://*****.yuketang.cn/
url_root = "https://changjiang.yuketang.cn/"
learning_rate = 4 # 学习速率 我觉得默认的这个就挺好的
# 以下字段不用改，下面的代码也不用改动
user_id = ""
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.67 Safari/537.36',
'Content-Type': 'application/json',
'Cookie': 'csrftoken=' + csrftoken + '; sessionid=' + sessionid + '; university_id=' + university_id + '; platform_id=3',
'x-csrftoken': csrftoken,
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'university-id': university_id,
'xtbz': 'cloud'
}
leaf_type = {
"video": 0,
"homework": 6,
"exam": 5,
"recommend": 3,
"discussion": 4
}
def one_video_watcher(video_id, video_name, cid, user_id, classroomid, skuid):
video_id = str(video_id)
classroomid = str(classroomid)
url = url_root + "video-log/heartbeat/"
get_url = url_root + "video-log/get_video_watch_progress/?cid=" + str(
cid) + "&user_id=" + str(user_id) + "&classroom_id=" + classroomid + "&video_type=video&vtype=rate&video_id=" + str(
video_id) + "&snapshot=1&term=latest&uv_id=" + str(university_id) + ""
progress = requests.get(url=get_url, headers=headers)
if_completed = '0'
try:
if_completed = re.search(r'"completed":(.+?),', progress.text).group(1)
except:
pass
if if_completed == '1':
print(video_name + "已经学习完毕，跳过")
return 1
else:
print(video_name + "，尚未学习，现在开始自动学习")
time.sleep(2)
# 默认为0（即还没开始看）
video_frame = 0
val = 0
# 获取实际值（观看时长和完成率）
try:
res_rate = json.loads(progress.text)
tmp_rate = res_rate["data"][video_id]["rate"]
if tmp_rate is None:
return 0
val = tmp_rate
video_frame = res_rate["data"][video_id]["watch_length"]
except Exception as e:
print(e.__str__())
t = time.time()
timstap = int(round(t * 1000))
heart_data = []
while float(val) <= 0.95:
for i in range(3):
heart_data.append(
{
"i": 5,
"et": "loadeddata",
"p": "web",
"n": "ali-cdn.xuetangx.com",
"lob": "cloud4",
"cp": video_frame,
"fp": 0,
"tp": 0,
"sp": 2,
"ts": str(timstap),
"u": int(user_id),
"uip": "",
"c": cid,
"v": int(video_id),
"skuid": skuid,
"classroomid": classroomid,
"cc": video_id,
"d": 4976.5,
"pg": video_id + "_" + ''.join(random.sample('zyxwvutsrqponmlkjihgfedcba1234567890', 4)),
"sq": i,
"t": "video"
}
)
video_frame += learning_rate
data = {"heart_data": heart_data}
r = requests.post(url=url, headers=headers, json=data)
heart_data = []
try:
delay_time = re.search(
r'Expected available in(.+?)second.', r.text).group(1).strip()
print("由于网络阻塞，万恶的雨课堂，要阻塞" + str(delay_time) + "秒")
time.sleep(float(delay_time) + 0.5)
print("恢复工作啦～～")
r = requests.post(url=submit_url, headers=headers, data=data)
except:
pass
try:
progress = requests.get(url=get_url, headers=headers)
res_rate = json.loads(progress.text)
tmp_rate = res_rate["data"][video_id]["rate"]
if tmp_rate is None:
return 0
val = str(tmp_rate)
print("学习进度为：\t" + str(float(val) * 100) + "%/100%")
time.sleep(2)
except Exception as e:
print(e.__str__())
pass
print("视频" + video_id + " " + video_name + "学习完成！")
return 1
def get_videos_ids(course_name, classroom_id, course_sign):
get_homework_ids = url_root + "mooc-api/v1/lms/learn/course/chapter?cid=" + str(
classroom_id) + "&term=latest&uv_id=" + university_id + "&sign=" + course_sign
homework_ids_response = requests.get(url=get_homework_ids, headers=headers)
homework_json = json.loads(homework_ids_response.text)
homework_dic = {}
try:
for i in homework_json["data"]["course_chapter"]:
for j in i["section_leaf_list"]:
if "leaf_list" in j:
for z in j["leaf_list"]:
if z['leaf_type'] == leaf_type["video"]:
homework_dic[z["id"]] = z["name"]
else:
if j['leaf_type'] == leaf_type["video"]:
# homework_ids.append(j["id"])
homework_dic[j["id"]] = j["name"]
print(course_name + "共有" + str(len(homework_dic)) + "个作业喔！")
return homework_dic
except:
print("fail while getting homework_ids!!! please re-run this program!")
raise Exception(
"fail while getting homework_ids!!! please re-run this program!")
if __name__ == "__main__":
# your_courses = []
# # 首先要获取用户的个人ID，即user_id,该值在查询用户的视频进度时需要使用
# user_id_url = url_root + "edu_admin/check_user_session/"
# id_response = requests.get(url=user_id_url, headers=headers)
# try:
# # user_id = re.search(r'"user_id":(.+?)}',
# # id_response.text).group(1).strip()
# user_id = "32752679"
# except:
# print("也许是网路问题，获取不了user_id,请试着重新运行")
# raise Exception(
# "也许是网路问题，获取不了user_id,请试着重新运行!!! please re-run this program!")
# # 然后要获取教室id
# get_classroom_id = url_root + \
# "mooc-api/v1/lms/user/user-courses/?status=1&page=1&no_page=1&term=latest&uv_id=" + \
# university_id + ""
# submit_url = url_root + \
# "mooc-api/v1/lms/exercise/problem_apply/?term=latest&uv_id=" + university_id + ""
# classroom_id_response = requests.get(url=get_classroom_id, headers=headers)
# try:
# for ins in json.loads(classroom_id_response.text)["data"]["product_list"]:
# your_courses.append({
# "course_name": ins["course_name"],
# "classroom_id": ins["classroom_id"],
# "course_sign": ins["course_sign"],
# "sku_id": ins["sku_id"],
# "course_id": ins["course_id"]
# })
# except Exception as e:
# print("fail while getting classroom_id!!! please re-run this program!")
# raise Exception(
# "fail while getting classroom_id!!! please re-run this program!")
# # 显示用户提示
# for index, value in enumerate(your_courses):
# print("编号：" + str(index + 1) + " 课名：" + str(value["course_name"]))
# flag = True
# while(flag):
# number = input("你想刷哪门课呢？请输入编号。输入0表示全部课程都刷一遍\n")
# # 输入不合法则重新输入
# if not (number.isdigit()) or int(number) > len(your_courses):
# print("输入不合法！")
# continue
# elif int(number) == 0:
# flag = False # 输入合法则不需要循环
# # 0 表示全部刷一遍
# for ins in your_courses:
# homework_dic = get_videos_ids(
# ins["course_name"], ins["classroom_id"], ins["course_sign"])
# for one_video in homework_dic.items():
# one_video_watcher(one_video[0], one_video[1], ins["course_id"], user_id, ins["classroom_id"],
# ins["sku_id"])
# else:
# flag = False # 输入合法则不需要循环
# # 指定序号的课程刷一遍
# number = int(number) - 1
# homework_dic = get_videos_ids(your_courses[number]["course_name"], your_courses[number]["classroom_id"],
# your_courses[number]["course_sign"])
# for one_video in homework_dic.items():
# one_video_watcher(one_video[0], one_video[1], your_courses[number]["course_id"], user_id,
# your_courses[number]["classroom_id"],
# your_courses[number]["sku_id"])
leaf_data = {'sku_id': 5094031,
'is_assessed': False,
'locked_reason': None,
'course_id': 2580703,
'classroom_short_name': '统本大数据2001',
'university_id': 3420,
'score_deadline': 0,
'current_price': 0,
'id': 13166842,
'user_id': 32752679,
'content_info': {'status': 'post',
'video_user_play': None,
'expand_discuss': False,
'score_evaluation': {'score_proportion': {'proportion': 0.2},
'score': 1.0,
'id': 6,
'name': '视频'},
'download': [],
'is_score': True,
'is_discuss': False,
'remark': {'remark': ''},
'cover_desc': '',
'cover_thumbnail': '',
'media': {'ccid': '26E5D9EA229B85D69C33DC5901307461',
'cover': '',
'name': '7.2 地图上的点与线.mp4',
'duration': 0,
'type': 'video',
'size': 538003183},
'cover': '',
'leaf_type_id': None,
'is_attachment_download': True,
'context': ''},
'classroom_id': '11169384',
'leaf_type': 0,
'has_classend': False,
'upgrade_sku_status': None,
'price': 0,
'user_role': 3,
'class_start_time': 1661961600000,
'upgrade_sku_id': None,
'be_in_force': False,
'teacher': {'org_name': '浙江大学',
'picture': 'https://qn-next.xuetangx.com/15819238431460.jpg',
'name': '陈为',
'department_name': '计算机学院',
'intro': '陈为，浙江大学计算机学院教授，博导，十三五国家重点研发专项“云计算与大数据”总体组与指南组专家。研究兴趣是大数据可视分析与医疗人工智能。承担国家自然科学基金重点项目等国家项目十余项。发表国际顶级期刊和会议论文50余篇。出版教材3部（数据可视化），专著两部（可视分析；大数据），在国内外学术界和工业界形成较大影响。自2009年起在浙江大学每年主办可视化方面的研讨会或暑期学校，受众超过3000人。自2011年起在浙江大学计算机学院开始数据可视化课程，深受好评。',
'job_title': '教授'},
'is_score': True,
'is_deleted': False,
'name': '7.2 地图上的点与线',
'is_locked': False,
'class_end_time': 1672502400000
}
one_video_watcher(leaf_data["id"], '7.2 地图上的点与线.mp4', leaf_data["course_id"], leaf_data["user_id"],
'11169384',
5094031)
print("搞定啦")