├── .gitignore
├── CHANGELOG.md
├── LICENSE
├── README.md
├── gen_record.py
├── image.py
├── main.py
└── requirements.txt
/.gitignore:
--------------------------------------------------------------------------------
1 | # Byte-compiled / optimized / DLL files
2 | __pycache__/
3 | *.py[cod]
4 | *$py.class
5 |
6 | # C extensions
7 | *.so
8 |
9 | .idea
10 |
11 | # Distribution / packaging
12 | .Python
13 | build/
14 | develop-eggs/
15 | dist/
16 | downloads/
17 | eggs/
18 | .eggs/
19 | lib/
20 | lib64/
21 | parts/
22 | sdist/
23 | var/
24 | wheels/
25 | pip-wheel-metadata/
26 | share/python-wheels/
27 | *.egg-info/
28 | .installed.cfg
29 | *.egg
30 | MANIFEST
31 |
32 | # PyInstaller
33 | # Usually these files are written by a python script from a template
34 | # before PyInstaller builds the exe, so as to inject date/other infos into it.
35 | *.manifest
36 | *.spec
37 |
38 | # Installer logs
39 | pip-log.txt
40 | pip-delete-this-directory.txt
41 |
42 | # Unit test / coverage reports
43 | htmlcov/
44 | .tox/
45 | .nox/
46 | .coverage
47 | .coverage.*
48 | .cache
49 | nosetests.xml
50 | coverage.xml
51 | *.cover
52 | *.py,cover
53 | .hypothesis/
54 | .pytest_cache/
55 |
56 | # Translations
57 | *.mo
58 | *.pot
59 |
60 | # Django stuff:
61 | *.log
62 | local_settings.py
63 | db.sqlite3
64 | db.sqlite3-journal
65 |
66 | # Flask stuff:
67 | instance/
68 | .webassets-cache
69 |
70 | # Scrapy stuff:
71 | .scrapy
72 |
73 | # Sphinx documentation
74 | docs/_build/
75 |
76 | # PyBuilder
77 | target/
78 |
79 | # Jupyter Notebook
80 | .ipynb_checkpoints
81 |
82 | # IPython
83 | profile_default/
84 | ipython_config.py
85 |
86 | # pyenv
87 | .python-version
88 |
89 | # pipenv
90 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
91 | # However, in case of collaboration, if having platform-specific dependencies or dependencies
92 | # having no cross-platform support, pipenv may install dependencies that don't work, or not
93 | # install all needed dependencies.
94 | #Pipfile.lock
95 |
96 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow
97 | __pypackages__/
98 |
99 | # Celery stuff
100 | celerybeat-schedule
101 | celerybeat.pid
102 |
103 | # SageMath parsed files
104 | *.sage.py
105 |
106 | # Environments
107 | .env
108 | .venv
109 | env/
110 | venv/
111 | ENV/
112 | env.bak/
113 | venv.bak/
114 |
115 | # Spyder project settings
116 | .spyderproject
117 | .spyproject
118 |
119 | # Rope project settings
120 | .ropeproject
121 |
122 | # mkdocs documentation
123 | /site
124 |
125 | # mypy
126 | .mypy_cache/
127 | .dmypy.json
128 | dmypy.json
129 |
130 | # Pyre type checker
131 | .pyre/
132 |
133 | Contents
134 | preprocessed
135 | *.DS_Store
136 |
--------------------------------------------------------------------------------
/CHANGELOG.md:
--------------------------------------------------------------------------------
1 | # PKUAutoRun CHANGELOG
2 |
3 | ## v1.2.1
4 |
5 | 修复bug,增加部分报错提示。
6 |
7 | ## v1.2.0
8 |
9 | 适配 iOS 16。
10 |
11 | ## v1.1.0
12 |
13 | 优化程序生成的轨迹,使其更加符合真实情况。参见[此PR](https://github.com/yiguanxianyu/PKUAutoRun/pull/4)
14 |
15 | By [@Guyutongxue](https://github.com/Guyutongxue)
16 |
17 | ## v1.0.0
18 |
19 | 2022-05-13
20 |
21 | 改为使用跑步记录生成器生成随机轨迹,参见[鸣谢](https://github.com/yiguanxianyu/PKUAutoRun#鸣谢)。
22 |
23 | ## v0.6.0
24 |
25 | 2022-04-28
26 |
27 | 增加多设备支持(以程序多开的形式实现)。
28 |
29 | ## v0.5.0
30 |
31 | 2022-04-11
32 |
33 | 增加了设定配速的功能。
34 |
35 | ## v0.4.0
36 |
37 | 2022-04-11
38 |
39 | 切换至异步加载以修复预期时间不准的问题。
40 |
41 | ## v0.3.2
42 |
43 | 2022-04-05
44 |
45 | 一系列 bug 修复。
46 |
47 | ## v0.3.1
48 |
49 | 2022-03-17
50 |
51 | 增加了跑步结束后一键重启手机的功能。
52 |
53 | ## v0.3
54 |
55 | 2022-03-16
56 |
57 | 1. 为 GPX 文件增加预处理功能。程序将会为已有的轨迹增加随机漂移量,并在一定程度上加快速度。这在理论上解决了轨迹重复的问题。
58 |
59 | 2. 增加了信息显示。在跑步开始时,将输出本次跑步的预计里程、速度和时间。
60 |
61 | ## v0.2
62 |
63 | 2022-03-12
64 |
65 | 程序第一版,初步可用。
66 |
--------------------------------------------------------------------------------
/LICENSE:
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623 | How to Apply These Terms to Your New Programs
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650 | Also add information on how to contact you by electronic and paper mail.
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673 | Public License instead of this License. But first, please read
674 | .
675 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # PKUAutoRun
2 |
3 | 赛博跑步机,或许是一种可以偷懒的方法,也或许不能,但请使用乐动力。**请使用者自行承担后果。 暂不支持iOS17**
4 |
5 | 当前版本 v1.2.1 (2023-02-20),[更新日志](https://github.com/yiguanxianyu/PKUAutoRun/blob/main/CHANGELOG.md)。如果有各种问题欢迎提 issue。~~真的不来尝试一下吗\~~~
6 |
7 | PKUAutoRun 是一个顾名思义的工具。它面向 iOS/iPadOS,支持 Windows/macOS/Linux(Linux 平台未经测试)。通过 PKUAutoRun ,你甚至可以使用 iPad 完成跑步打卡。然而,如果你并不使用 iPhone/iPad/iPod ,那就无法直接使用这个项目。由于本程序所依赖的项目仍在积极开发中,如果你在运行过程中遇到任何问题,请先考虑再运行一次程序。
8 |
9 | ### 重要:iOS 16 请阅读下文
10 |
11 | 在 iOS 16 中,Apple 修改了开发者模式的逻辑,现在你需要一些额外的操作才能够开启开发者模式以使用 PKUAutoRun。
12 |
13 | - 推荐方案
14 |
15 | - 请下载并安装 [爱思助手](https://www.i4.cn/),在工具箱中找到虚拟定位模块,随意选择一个地址并确定,按照提示打开开发者模式。
16 |
17 | - 可选方案
18 |
19 | - 使用已经安装了 Xcode 的 Mac 电脑,打开 Xcode 随意新建一个 Swift 项目,并将设备连接到 Mac。在 `设置-隐私与安全性-安全性` 中找到并打开开发者模式。
20 | - 如果不愿或无法使用推荐方案,你需要关闭设备密码再运行脚本,脚本会自动为你开启开发者模式。在运行完程序后,你可以再打开密码,此时开发者模式将立即失效,你需要手动重启设备并重新激活开发者模式。
21 |
22 | **功能**
23 |
24 | - [X] 自定义配速
25 | - [X] 多设备支持(多开)
26 | - [X] 由程序生成的随机跑步记录(参见[鸣谢](https://github.com/yiguanxianyu/PKUAutoRun#鸣谢))
27 |
28 | ## 用法
29 |
30 | 0. 如果你看不懂下面的说明,可以找一位工具人代劳。
31 |
32 | 1. Windows 用户下载 [爱思助手](https://www.i4.cn/)(推荐)或 [iTunes64位版](https://www.apple.com/itunes/download/win64) 并安装。**不要使用 Microsoft Store 版本的 iTunes**。本项目只依赖 iTunes 中的 Apple Mobile Device Support,所以如果你用不到其他的模块话可以卸载掉 Apple Software Update, Bonjour 和 iTunes 本体.
33 |
34 | 2. 安装 [Python3](https://www.python.org/)。支持 `Python 3.6+` ;
35 |
36 | 3. 下载本项目代码,并安装程序运行所需的依赖包(推荐使用虚拟环境):
37 |
38 | ```
39 | $ pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
40 | ```
41 |
42 | 4. 将你的设备通过 USB 端口连接到电脑;
43 |
44 | 5. 解锁设备,选择信任此电脑,并保持屏幕亮起;
45 |
46 | 5. 关闭打卡软件除了定位和网络以外的所有权限;
47 |
48 | 6. 运行 `main.py`,并设定相关配置;
49 |
50 | 7. 在打卡软件中开始跑步,这之后你可以让设备屏幕自动关闭。
51 |
52 | ## Q&A
53 |
54 | 1. 发生了`[WinError 10053]`错误:
55 |
56 | 请检查挂载镜像时屏幕是否亮起。
57 |
58 | 2. 下载镜像长时间没有反应:
59 |
60 | 关掉梯子再运行程序。
61 |
62 | 3. 如果中途需要关闭程序或者拔掉手机怎么办?
63 |
64 | 请先手动结束跑步。这之后,你需要通过手动重启来恢复原本的定位。方法:`设置 -> 通用 -> 拉到最底 -> 关机`。
65 |
66 | 4. 我的运动步数为 0 ?
67 |
68 | 由于苹果对于开发者的限制,iOS 只支持模拟定位,而不支持模拟以下内容:定位误差、海拔及其误差、航向、速度、步数等。对于乐动力来说可以通过关闭健康权限的方式避免计步从而绕过这个问题。目前来看这一点并不影响使用。
69 |
70 | ## 鸣谢
71 |
72 | 感谢 [@yuchenxi2000](https://github.com/yuchenxi2000) 在 https://github.com/PKUNoRun/PKUNoRun/issues/17 中提供的跑步记录生成器
73 |
74 | ## 写在最后
75 |
76 | 当然,我还是希望大家能够自己去跑一跑步的。毕竟,健康也很重要嘛。
77 |
--------------------------------------------------------------------------------
/gen_record.py:
--------------------------------------------------------------------------------
1 | # -*- coding:utf-8 -*
2 | """
3 | 感谢:
4 | @yuchenxi2000 https://github.com/yuchenxi2000
5 | https://github.com/PKUNoRun/PKUNoRun/issues/17
6 | https://gist.github.com/yuchenxi2000/adaf2b29e584ae715c160c98229235d6
7 |
8 | 主要改动是提高了程序运行的效率,并去除了无用的部分
9 | """
10 |
11 | from math import radians, sin, cos, sqrt, pi
12 | from random import random
13 |
14 | import numpy as np
15 | import numpy.random as npr
16 | import scipy.interpolate
17 | import scipy.optimize
18 | from scipy.stats import norm
19 |
20 | center = np.array([116.30713526140399,
21 | 39.986307321096085]) # 操场中心点(调了很久!本人没有精确定位工具!)
22 | alpha = radians(4.5) # 操场偏离正北4.5度(调出来的)
23 | r = 36.5 # 半径
24 | d_curve = r * pi # 半圆长度
25 | d_straight = 200 - d_curve # 直线部分长度
26 | w = 1.22 # 跑道宽度
27 | earth_radians = radians(6371393)
28 |
29 |
30 | class ST:
31 | """
32 | 我们假设跑步过程中由于避让其他跑步者等会换道。
33 | 这个类计算跑到t距离时的偏移量(在第几道)
34 | 先随机取一系列离散的点,然后插值得到连续的函数
35 | """
36 |
37 | def __init__(self, start, end):
38 | # n 指的是每 n 米换一次跑道?
39 | n = 200
40 | num = int(end - start) // n + 1
41 | # xp和yp是待插值的点
42 | xp = np.linspace(start - 20, end + 20, num)
43 |
44 | offset = npr.randn(num)
45 | offset = np.where(offset > 1.25, 2 * offset, offset)
46 | offset = np.where(offset < -1, -1, offset)
47 | yp = (offset * 2 + 5) * w
48 |
49 | yp[0] = random() * 2 + 6
50 | yp[-1] = random() * 2 + 3
51 |
52 | self.f = scipy.interpolate.interp1d(xp, yp, kind='cubic')
53 |
54 |
55 | s_t_func = None
56 |
57 |
58 | def rot(angle):
59 | """
60 | 逆时针旋转矩阵
61 | """
62 | sin_a = sin(angle)
63 | cos_a = cos(angle)
64 | return np.array([[cos_a, -sin_a], [sin_a, cos_a]])
65 |
66 |
67 | def d_latlon(p1, p2):
68 | """
69 | 计算两点间的距离。原文件使用了较复杂的算法,代价较高
70 | 这里使用较为相对简单的算法代替,精度不会损失很多
71 | """
72 | lon_diff, lat_diff = p1 - p2
73 | lon_diff *= cos((p1[1] + p2[1]) * 0.00872664625997165)
74 | return sqrt(lat_diff * lat_diff + lon_diff * lon_diff) * earth_radians
75 |
76 |
77 | def p_d_v(p, d, v):
78 | """
79 | 距离P点v方向上、距离d的点
80 | """
81 | if d < 0:
82 | d, v = -d, -v
83 |
84 | cos_lat2 = cos(p[1] * 0.0174532925199433) ** 2
85 | d_lat2, d_lon2 = v * v
86 |
87 | def foo(t):
88 | return sqrt(d_lon2 + d_lat2 * cos_lat2) * t * earth_radians - d
89 |
90 | x = scipy.optimize.bisect(foo, 0, 0.001)
91 |
92 | return p + x * v
93 |
94 |
95 | rotate_alpha = rot(alpha)
96 | # 下面关键点由中心点经过平移、旋转得到
97 | # 操场北部圆心点
98 | Pu = p_d_v(center, d_straight / 2, rotate_alpha @ np.array([0.0, 1.0]))
99 | # 操场南部圆心点
100 | Pd = p_d_v(center, d_straight / 2, rotate_alpha @ np.array([0.0, -1.0]))
101 |
102 | # 四个矩形顶点,从左上开始逆时针
103 | P0 = p_d_v(Pu, r, rotate_alpha @ np.array([-1, 0]))
104 | P1 = p_d_v(Pd, r, rotate_alpha @ np.array([-1, 0]))
105 | P2 = p_d_v(Pd, r, rotate_alpha @ np.array([1, 0]))
106 | P3 = p_d_v(Pu, r, rotate_alpha @ np.array([1, 0]))
107 |
108 | # 一系列向量
109 | P0_to_P1 = P1 - P0 # P0指向P1的向量,其余类推
110 | P2_to_P3 = P3 - P2
111 | Pu_to_P0 = P0 - Pu
112 | Pu_to_P3 = P3 - Pu
113 | Pd_to_P1 = P1 - Pd
114 | Pd_to_P2 = P2 - Pd
115 | # 归一化
116 | P0_to_P1 /= np.linalg.norm(P0_to_P1)
117 | P2_to_P3 /= np.linalg.norm(P2_to_P3)
118 | Pu_to_P0 /= np.linalg.norm(Pu_to_P0)
119 | Pu_to_P3 /= np.linalg.norm(Pu_to_P3)
120 | Pd_to_P1 /= np.linalg.norm(Pd_to_P1)
121 | Pd_to_P2 /= np.linalg.norm(Pd_to_P2)
122 |
123 | d1 = d_straight
124 | d2 = d1 + d_curve
125 | d3 = d2 + d_straight
126 |
127 |
128 | def move(t, s):
129 | """
130 | 改变跑道
131 | t: 离出发点距离
132 | s: 跑道偏移量(一道为0,二道为一个跑道宽度,以此类推)
133 | """
134 | t = t % 400.0
135 |
136 | if t <= d1: # 第一直道
137 | # 分为两步,forward是获取下一个位置的点,第二次调用计算跑道的偏移
138 | forward = p_d_v(P0, t, P0_to_P1)
139 | return p_d_v(forward, s, Pu_to_P0)
140 |
141 | elif t <= d2: # 第一弯道
142 | beta = (t - d_straight) / r
143 | return p_d_v(Pd, r + s, rot(beta) @ Pd_to_P1)
144 |
145 | elif t <= d3: # 第二直道
146 | forward = p_d_v(P2, t - d_straight - d_curve, P2_to_P3)
147 | return p_d_v(forward, s, Pd_to_P2)
148 |
149 | else: # 第二弯道
150 | beta = (t - d_straight - d_straight - d_curve) / r
151 | return p_d_v(Pu, r + s, rot(beta) @ Pu_to_P3)
152 |
153 |
154 | def pts(t):
155 | t = t % 400.0
156 |
157 | if t <= d1: # 第一直道
158 | return p_d_v(P0, t, P0_to_P1)
159 | elif t <= d2: # 第一弯道
160 | beta = (t - d_straight) / r
161 | return p_d_v(Pd, r, rot(beta) @ Pd_to_P1)
162 | elif t <= d3: # 第二直道
163 | return p_d_v(P2, t - d_straight - d_curve, P2_to_P3)
164 | else: # 第二弯道
165 | beta = (t - d_straight - d_straight - d_curve) / r
166 | return p_d_v(Pu, r, rot(beta) @ Pu_to_P3)
167 |
168 |
169 | def adjust_pp_d(t0: float, d0: float):
170 | """
171 | 根据取定的两点,用二分法精确求解下一个路径点
172 | t0: 目前已经走到的位置, 即起点
173 | d: 前进的距离, 即终点
174 | s_t: 确定换道
175 | """
176 |
177 | def f(t):
178 | return d_latlon(pts(t), pts(t0)) - d0
179 |
180 | t2 = t0 + d0
181 | while d_latlon(pts(t0), pts(t2)) < d0:
182 | t2 = t2 + t2 - t0
183 |
184 | return scipy.optimize.bisect(f, t0, t2)
185 |
186 |
187 | def get_smooth_random_shift(num_points):
188 | """
189 | 生成「平滑」的随机偏移量
190 | 每次迭代,基于前一个点上下浮动,浮动方向以正态分布偏向于中间
191 | """
192 | val = []
193 | last = 0
194 | sign = 0
195 | prob = 2 / 3
196 | rands = npr.rand(num_points)
197 | rands_prob = rands / prob
198 |
199 | for i in range(num_points):
200 | if rands[i] > prob:
201 | # 三分之一可能性不改方向
202 | sign = 0
203 | elif rands_prob[i] > norm.cdf(last, scale=5):
204 | # 更多
205 | sign = 1
206 | else:
207 | # 更少
208 | sign = -1
209 |
210 | last += sign
211 | val.append(last)
212 |
213 | return np.array(val) * 0.00001
214 |
215 |
216 | def gen_record(distance, speed):
217 | """
218 | 生成点轨迹
219 | """
220 | npr.seed(int(random() * 1e5))
221 | # 起始点位置,默认为操场西北角位置附近
222 | start_point = 50 * (random() + 1)
223 |
224 | global s_t_func
225 | s_t_func = ST(start_point, start_point + distance).f
226 |
227 | points = []
228 | dist_generated = 0.0
229 | t = start_point
230 | step = 4 # 基本步长
231 | num_points = 10000 # 生成轨迹点的数量
232 |
233 | rand_offset = npr.randn(num_points) * 0.02
234 | dist_straight = rand_offset + step
235 | dist_curve = rand_offset + step * 0.867
236 |
237 | rand_shift = get_smooth_random_shift(num_points).reshape(2, -1).T
238 | rand_shift[:, 1] *= cos(radians(center[1]))
239 |
240 | i = 0
241 | while dist_generated < distance:
242 | temp = t % 400
243 | if temp < d1 or d2 < temp < d3:
244 | d0 = dist_straight[i]
245 | else:
246 | d0 = dist_curve[i] # 前进的距离
247 |
248 | t1 = adjust_pp_d(t, d0)
249 | s1 = s_t_func(t)
250 | # 给轨迹加上随机漂移
251 | point = move(t1, s1) + rand_shift[i]
252 |
253 | if points:
254 | dist_generated += d_latlon(point, points[-1])
255 |
256 | points.append(point)
257 |
258 | i += 1
259 | t = t1
260 |
261 | time = []
262 | cumulate_time = 0
263 | rs = (npr.randn(len(points)) / 10 + 1) * 1000 / speed
264 | for i in range(len(points)):
265 | if i == 0:
266 | dur_time = 0
267 | elif i == len(points) - 1:
268 | dist = d_latlon(points[i - 1], points[i])
269 | dur_time = dist / rs[i]
270 | else:
271 | dist = d_latlon(points[i + 1], points[i - 1])
272 | dur_time = 0.5 * dist / rs[i]
273 |
274 | cumulate_time += dur_time
275 | time.append(cumulate_time)
276 |
277 | p = np.array(points)[:, [1, 0]]
278 | index = np.array(time).reshape(-1, 1)
279 | return np.append(p, index, axis=1)
280 |
--------------------------------------------------------------------------------
/image.py:
--------------------------------------------------------------------------------
1 | # -*- coding:utf-8 -*
2 | from pathlib import Path
3 |
4 | from pymobiledevice3.services.mobile_image_mounter import MobileImageMounterService
5 |
6 | from requests import get
7 |
8 |
9 | def download_image(ios_version):
10 | base_dir = f'./Contents/Developer/Platforms/iPhoneOS.platform/DeviceSupport/{ios_version}'
11 | base_url = f'https://ghproxy.net/https://raw.githubusercontent.com/pdso/DeveloperDiskImage/master/{ios_version[0:2]}/{ios_version}/DeveloperDiskImage.dmg'
12 |
13 | img_dir = base_dir + '/DeveloperDiskImage.dmg'
14 | img_url = base_url
15 | sig_dir = img_dir + '.signature'
16 | sig_url = img_url + '.signature'
17 |
18 | Path(base_dir).mkdir(parents=True, exist_ok=True)
19 |
20 | print('开始下载模拟所需的开发者镜像文件')
21 |
22 | if Path(img_dir).exists():
23 | print('···镜像文件已存在')
24 | else:
25 | print('···正在下载镜像文件,此过程可能较费时,请耐心等待')
26 | img = get(img_url, allow_redirects=True)
27 | open(img_dir, 'wb').write(img.content)
28 | print('镜像下载完成')
29 |
30 | if Path(sig_dir).exists():
31 | print('···镜像签名文件已存在')
32 | else:
33 | print('···正在下载镜像签名文件,此过程可能较费时,请耐心等待')
34 | sig = get(sig_url, allow_redirects=True)
35 | open(sig_dir, 'wb').write(sig.content)
36 | print('镜像签名下载完成')
37 |
38 | # from zipfile import ZipFile
39 | # with ZipFile(img_dir) as zf:
40 | # zf.extractall(base_dir)
41 | # print('镜像解压缩完成')
42 |
43 |
44 | def unmount_image(lockdown):
45 | image_type = 'Developer'
46 | mount_path = '/Developer'
47 | image_mounter = MobileImageMounterService(lockdown=lockdown)
48 | image_mounter.umount(image_type, mount_path, b'')
49 | print('成功卸载镜像')
50 |
51 |
52 | def mount_image(lockdown, version):
53 | image_type = 'Developer'
54 |
55 | image_mounter = MobileImageMounterService(lockdown=lockdown)
56 | if image_mounter.is_image_mounted(image_type):
57 | print('镜像已经被挂载过了')
58 | return 1
59 |
60 | download_image(version)
61 |
62 | image = f'./Contents/Developer/Platforms/iPhoneOS.platform/DeviceSupport/{version}/DeveloperDiskImage.dmg'
63 | signature = image + '.signature'
64 |
65 | image = Path(image).read_bytes()
66 | signature = Path(signature).read_bytes()
67 |
68 | image_mounter.upload_image(image_type, image, signature)
69 |
70 | try:
71 | image_mounter.mount(image_type, signature)
72 | print('镜像挂载成功')
73 | return 1
74 |
75 | except Exception:
76 | print(f'iOS 16 以上系统需要先开启开发者模式才能运行,此部分请参考项目README。正在尝试为你开启开发者模式……')
77 | from pymobiledevice3.exceptions import DeviceHasPasscodeSetError
78 | from pymobiledevice3.services.amfi import AmfiService
79 | from pymobiledevice3.services.diagnostics import DiagnosticsService
80 |
81 | try:
82 | AmfiService(lockdown).enable_developer_mode()
83 | print('已开启开发者模式,正在重启设备。请在设备重启后确认打开开发者模式,并重新运行本程序。')
84 | DiagnosticsService(lockdown).restart()
85 | except DeviceHasPasscodeSetError:
86 | print('开发者模式开启失败,需要先关闭设备密码以打开开发者模式。')
87 |
88 | return 0
89 |
--------------------------------------------------------------------------------
/main.py:
--------------------------------------------------------------------------------
1 | # -*- coding:utf-8 -*
2 | import asyncio
3 | from datetime import datetime, timedelta
4 | import time
5 |
6 | from pymobiledevice3.lockdown import LockdownClient
7 | from pymobiledevice3.services.diagnostics import DiagnosticsService
8 | from pymobiledevice3.services.simulate_location import DtSimulateLocation
9 | from pymobiledevice3.usbmux import list_devices
10 |
11 | import image
12 | from gen_record import gen_record
13 |
14 |
15 | async def auto_run(points, location_simulator):
16 |
17 | async def set_loc(lat, lon, t):
18 | await asyncio.sleep(t)
19 | location_simulator.set(lat, lon)
20 |
21 | await asyncio.gather(*(set_loc(*p) for p in points))
22 |
23 |
24 | def main(distance, speed):
25 | device_list = list_devices()
26 | if not device_list:
27 | print('未查找到设备,请确认:')
28 | print(' 1. 是否已下载并安装 iTunes')
29 | print(' 2. 是否已将设备连接到电脑、解锁设备并勾选信任选项')
30 | input('按下回车退出')
31 | return
32 |
33 | num_devices = len(device_list)
34 | index = 0
35 |
36 | if num_devices > 1:
37 | print('发现多台设备:')
38 |
39 | for i in range(num_devices):
40 | print(i, LockdownClient(device_list[i].serial).all_values['DeviceName'])
41 |
42 | index = int(input('请输入对应数字以选择设备: '))
43 | device = device_list[index]
44 |
45 | device = device_list[index]
46 | device_lockdown_client = LockdownClient(device.serial)
47 |
48 | device_info = device_lockdown_client.all_values
49 | device_class = device_info['DeviceClass']
50 | ios_version = device_info['ProductVersion'][0:4]
51 | device_name = device_info['DeviceName']
52 |
53 | print(f'已连接到您的{device_class}: {device_name}, 系统版本为{ios_version}')
54 | print('请确保在镜像挂载完成之前手机已解锁且屏幕亮起。')
55 |
56 | ios_version_replace = {'14.8': '14.5', '15.1': '15.0', '15.3': '15.2', '16.2': '16.1', '16.3': '16.1', '16.6': '16.5', '16.7': '16.5'}
57 | if ios_version in ios_version_replace:
58 | ios_version = ios_version_replace[ios_version]
59 |
60 | try:
61 | result = image.mount_image(device_lockdown_client, ios_version)
62 | except Exception as e:
63 | if "'Error': 'DeviceLocked'" in str(e):
64 | print('设备已锁定,请先解锁设备。')
65 | else:
66 | print(e)
67 | return
68 | else:
69 | if result == 0:
70 | return
71 |
72 | # 生成记录
73 | points = gen_record(distance, speed)
74 | dur_time = timedelta(seconds=round(points[-1][-1]))
75 | curr_time = datetime.now().replace(microsecond=0)
76 |
77 | print(f"""
78 | 跑步开始:
79 | 总里程:\t{distance}米
80 | 平均配速:\t{speed // 60}分{speed % 60}秒 每公里
81 | 总时长:\t{dur_time}
82 | 开始时间:\t{curr_time}
83 | 结束时间:\t{dur_time + curr_time}(预计)
84 | """)
85 |
86 | location_simulator = DtSimulateLocation(lockdown=device_lockdown_client)
87 | asyncio.run(auto_run(points, location_simulator))
88 |
89 | print('跑步完成, 请在手机上结束跑步,建议清除定位。')
90 | print('· 输入 0 以清除定位但不重启设备;')
91 | print('· 输入 1 以清除定位并且重启设备;')
92 | print('· 如果什么也不做,可以直接退出程序,')
93 | print(' 请注意这种情况下定位会被保留在最后一次的位置。')
94 |
95 | arg = input()
96 | if arg == '0':
97 | location_simulator.clear()
98 | image.unmount_image(device_lockdown_client)
99 | elif arg == '1':
100 | DiagnosticsService(device_lockdown_client).restart()
101 |
102 | return
103 |
104 |
105 | if __name__ == '__main__':
106 | print(r'''
107 | _____ _ ___ _ _ _____
108 | | __ \| |/ / | | | /\ | | | __ \
109 | | |__) | ' /| | | | / \ _ _| |_ ___ | |__) | _ ____
110 | | ___/| < | | | |/ /\ \| | | | __/ _ \| _ / | | | _ \
111 | | | | . \| |__| / ____ \ |_| | || (_) | | \ \ |_| | | | |
112 | |_| |_|\_\_____/_/ \_\____|\__\___/|_| \_\____|_| |_|
113 | ''')
114 | print('\nPKUAutoRun v1.2.1')
115 | print('提示: 如果要使用多台设备同时打卡, 请多开本程序')
116 |
117 | _distance = int(input('请输入跑步里程(米), 如5公里输入5000: '))
118 | if _distance < 1000:
119 | print('警告:里程不符合要求')
120 |
121 | _speed = int(input('请输入你希望的平均配速(秒), 如五分配速输入300: '))
122 | if not 240 < _speed < 600:
123 | print('警告:配速不符合要求')
124 |
125 | # 如果在 Python 脚本中运行程序,可以直接在下面修改参数使用:
126 | # _distance = 10000
127 | # _speed = 280
128 | main(_distance, _speed)
129 |
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/requirements.txt:
--------------------------------------------------------------------------------
1 | pymobiledevice3==1.42.4
2 | scipy
3 | requests
4 |
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