Merge branch 'Dawn1Ocean-main'

Author: Geniucker

route.txt HNroute.txtroute.txt renamed to HNroute.txt

@@ -51,7 +51,7 @@ iOSRealRun-cli
      - 查看自己的 iOS 版本，下载对应的 `DeveloperDiskImage.dmg` 和 `DeveloperDiskImage.dmg.signature` 文件  
      - 进入脚本目录 `DeveloperDiskImage` 文件夹中建立以版本号为名称的文件夹，将刚才下载的两个文件放入此文件夹。  
        例如，你是 15.1 版本的系统，你需要下载并解压 `DeveloperDiskImage.dmg` 和 `DeveloperDiskImage.dmg.signature` 文件，把他们放到 `DeveloperDiskImage/15.1` 里面  
-  4. 接下来和 [iOSFakeRun](https://github.com/Mythologyli/iOSFakeRun) 一样要获取你要的跑步路径，格式和其使用的格式完全相同，**但是请只画一圈**，项目预置了一个画的不太行的海宁操场路径，建议所有人都自己画路径  
+  4. 接下来和 [iOSFakeRun](https://github.com/Mythologyli/iOSFakeRun) 一样要获取你要的跑步路径，格式和其使用的格式完全相同，**但是请只画一圈**，项目预置了画的不太行的紫金港操场和海宁操场路径（在配置文件里改路线的文件名），建议所有人都自己画路径  
      > 打开[路径拾取网站](https://fakerun.myth.cx/)。通过点击地图构造路径。点击时无需考虑间距，会自动用直线连接。路径点击完成后，单击上方的路径坐标——复制，将坐标数据复制到剪贴板  
   5. 打开脚本目录里的 `route.txt` 文件，将刚复制的文件原封不动的粘贴进去，保存并退出  
   6. 对于 Windows，你需要安装 iTunes，以确保驱动正常运行  

README.md

@@ -0,0 +1 @@
+{"lng":"120.08845086732593","lat":"30.310177948123332"},{"lng":"120.08860357926262","lat":"30.310158461840157"},{"lng":"120.08868891828608","lat":"30.31021302342319"},{"lng":"120.08881917258502","lat":"30.310290968488587"},{"lng":"120.08888205397072","lat":"30.31042737220237"},{"lng":"120.08890002008091","lat":"30.310602748124037"},{"lng":"120.08886408786051","lat":"30.310836582193172"},{"lng":"120.08881468105747","lat":"30.31100806015239"},{"lng":"120.08875629119932","lat":"30.31120292110182"},{"lng":"120.08874281661667","lat":"30.311393884452592"},{"lng":"120.08867095217587","lat":"30.311588744627155"},{"lng":"120.08857663009732","lat":"30.311717352128007"},{"lng":"120.08844188427084","lat":"30.31176411844969"},{"lng":"120.08827120622394","lat":"30.31177191283444"},{"lng":"120.08816340956274","lat":"30.311725146516526"},{"lng":"120.08802866373624","lat":"30.311678380176055"},{"lng":"120.0879163755475","lat":"30.311588744627155"},{"lng":"120.0879163755475","lat":"30.311452342546055"},{"lng":"120.08793883318525","lat":"30.311292557007146"},{"lng":"120.0879433247128","lat":"30.311113285113688"},{"lng":"120.0879792569332","lat":"30.31089114339489"},{"lng":"120.08805561290154","lat":"30.310626131556315"},{"lng":"120.08810951123213","lat":"30.310329940997807"},{"lng":"120.08819934178314","lat":"30.310201331657986"},{"lng":"120.08832959608209","lat":"30.31018574263551"}

ZJGroute.txt

@@ -1,4 +1,4 @@
 v: 3.3
-routeConfig: "route.txt"
+routeConfig: "HNroute.txt"
 libimobiledeviceDir: "libimobiledevice"
 imageDir: "DeveloperDiskImage"

config.yaml

@@ -1 +1,2 @@
-PyYAML==6.0
+geopy==2.4.1
+PyYAML==6.0.1

requirements.txt

@@ -2,17 +2,58 @@
 run.py
 automatically run the route
 """
+
+"""修正坐标误差，百度取点使用 BD-09 坐标系，iOS使用 WGS-09 坐标系，进行转换"""
+def bd09Towgs84(position):
+    import math
+    wgs_p = {}
+
+    x_pi = 3.14159265358979324 * 3000.0 / 180.0
+    pi = 3.141592653589793238462643383  # π
+    a = 6378245.0  # 长半轴
+    ee = 0.00669342162296594323  # 偏心率平方
+
+    def transform_lat(x, y):
+        ret = -100.0 + 2.0 * x + 3.0 * y + 0.2 * y * y + 0.1 * x * y + 0.2 * math.sqrt(abs(x))
+        ret += (20.0 * math.sin(6.0 * x * pi) + 20.0 * math.sin(2.0 * x * pi)) * 2.0 / 3.0
+        ret += (20.0 * math.sin(y * pi) + 40.0 * math.sin(y / 3.0 * pi)) * 2.0 / 3.0
+        ret += (160.0 * math.sin(y / 12.0 * pi) + 320 * math.sin(y * pi / 30.0)) * 2.0 / 3.0
+        return ret
+
+    def transform_lon(x, y):
+        ret = 300.0 + x + 2.0 * y + 0.1 * x * x + 0.1 * x * y + 0.1 * math.sqrt(abs(x))
+        ret += (20.0 * math.sin(6.0 * x * pi) + 20.0 * math.sin(2.0 * x * pi)) * 2.0 / 3.0
+        ret += (20.0 * math.sin(x * pi) + 40.0 * math.sin(x / 3.0 * pi)) * 2.0 / 3.0
+        ret += (150.0 * math.sin(x / 12.0 * pi) + 300.0 * math.sin(x / 30.0 * pi)) * 2.0 / 3.0
+        return ret
+
+    x = position['lng'] - 0.0065
+    y = position['lat'] - 0.006
+    z = math.sqrt(x * x + y * y) - 0.00002 * math.sin(y * x_pi)
+    theta = math.atan2(y, x) - 0.000003 * math.cos(x * x_pi)
+
+    gcj_lng = z * math.cos(theta)
+    gcj_lat = z * math.sin(theta)
+
+    d_lat = transform_lat(gcj_lng - 105.0, gcj_lat - 35.0)
+    d_lng = transform_lon(gcj_lng - 105.0, gcj_lat - 35.0)
+
+    rad_lat = gcj_lat / 180.0 * pi
+    magic = math.sin(rad_lat)
+    magic = 1 - ee * magic * magic
+    sqrt_magic = math.sqrt(magic)
+
+    d_lng = (d_lng * 180.0) / (a / sqrt_magic * math.cos(rad_lat) * pi)
+    d_lat = (d_lat * 180.0) / (a * (1 - ee) / (magic * sqrt_magic) * pi)
+
+    wgs_p["lat"] = gcj_lat * 2 - gcj_lat - d_lat
+    wgs_p["lng"] = gcj_lng * 2 - gcj_lng - d_lng
+    return wgs_p
+
 # get the ditance according to the latitude and longitude
 def geodistance(p1, p2):
-    lat1, lng1 = p1["lat"], p1["lng"]
-    lat2, lng2 = p2["lat"], p2["lng"]
-    from math import radians, cos, sin, asin, sqrt
-    lng1, lat1, lng2, lat2 = map(radians, [float(lng1), float(lat1), float(lng2), float(lat2)]) # 经纬度转换成弧度
-    dlon=lng2-lng1
-    dlat=lat2-lat1
-    a=sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
-    distance=2*asin(sqrt(a))*6371*1000 # 地球平均半径，6371km
-    return distance
+    from geopy.distance import geodesic
+    return geodesic((p1["lat"],p1["lng"]),(p2["lat"],p2["lng"])).m
 
 def smooth(start, end, i):
     import math
@@ -97,13 +138,12 @@ def run1(loc: list, v, dt=0.2):
     fixedLoc = randLoc(fixedLoc, n=n)  # a path will be divided into n parts for random route
     clock = time.time()
     for i in fixedLoc:
-        utils.setLoc(i)
+        utils.setLoc(bd09Towgs84(i))
         while time.time()-clock < dt:
             pass
         clock = time.time()
 
 def run(loc: list, v, d=15):
-    import tools.utils as utils
     import random
     import time
     random.seed(time.time())

tools/run.py

@@ -63,7 +63,7 @@ def getDeviceInfo():
 
 
 def setLoc(loc):
-    cmd(["idevicesetlocation", "--", str(loc["lat"]-0.00389), str(loc["lng"]-0.01075)], False)
+    cmd(["idevicesetlocation", "--", str(loc["lat"]), str(loc["lng"])], False)
 
 def resetLoc():
     cmd(["idevicesetlocation", "reset"], False)