forked from ankanban/Pokemon_Go_API
/
location.py
153 lines (131 loc) · 4.12 KB
/
location.py
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import pokemon_pb2
import base64
import struct
import config
import math
from math import radians, cos, sin, asin, sqrt
from geopy.distance import vincenty
from geopy.geocoders import GoogleV3
COORDS_LATITUDE = 0
COORDS_LONGITUDE = 0
COORDS_ALTITUDE = 0
FLOAT_LAT = 0
FLOAT_LONG = 0
def get_location_coords():
return (COORDS_LATITUDE, COORDS_LONGITUDE, COORDS_ALTITUDE)
def get_lat():
return COORDS_LATITUDE
def get_lot():
return COORDS_LONGITUDE
def set_lat(new):
global COORDS_LATITUDE
COORDS_LATITUDE = f2i(new)
def set_lot(new):
global COORDS_LONGITUDE
COORDS_LONGITUDE= f2i(new)
def set_location(location_name):
geolocator = GoogleV3()
loc = geolocator.geocode(location_name)
print('[!] Your given location: {}'.format(loc.address.encode('utf-8')))
set_location_coords(loc.latitude, loc.longitude, loc.altitude)
def set_location_coords(lat, long, alt):
if config.debug:
print('[!] lat/long/alt: {} {} {}'.format(lat, long, alt))
global COORDS_LATITUDE, COORDS_LONGITUDE, COORDS_ALTITUDE
global FLOAT_LAT, FLOAT_LONG
FLOAT_LAT = lat
FLOAT_LONG = long
COORDS_LATITUDE = f2i(lat)
COORDS_LONGITUDE = f2i(long)
COORDS_ALTITUDE = f2i(alt)
def i2f(int):
return struct.unpack('<Q', struct.pack('<d', int))[0]
def f2h(float):
return hex(struct.unpack('<Q', struct.pack('<d', float))[0])
def f2i(float):
return struct.unpack('<Q', struct.pack('<d', float))[0]
def l2f(float):
return struct.unpack('d', struct.pack('Q', int(bin(float), 0)))[0]
def h2f(hex):
return struct.unpack('<d', struct.pack('<Q', int(hex,16)))[0]
def get_near(map):
ms=[]
for cell in [map]:
for block in cell.b:
for obj in block.c:
for stop in obj.s:
#if distance(stop.lat,stop.lon,COORDS_LATITUDE,COORDS_LONGITUDE):
ms.append((stop.name,stop.lat,stop.lon,get_distance(stop.lat,stop.lon,COORDS_LATITUDE,COORDS_LONGITUDE)))
return ms
def get_near_p(map):
ms=[]
for cell in [map]:
for block in cell.b:
for obj in block.c:
for stop in obj.p:
#if distance(stop.lat,stop.lon,COORDS_LATITUDE,COORDS_LONGITUDE):
ms.append((stop.t.type,stop.lat,stop.lon,stop.name,stop.hash,get_distance(stop.lat,stop.lon,COORDS_LATITUDE,COORDS_LONGITUDE)))
return ms
def move_to(lat1, lot1,lat2, lot2):
if (lat1>lat2):
while(lat1<lat2):
lat1=lat1-0.000095
else:
while(lat1<lat2):
lat1=lat1+0.000095
if (lot1>lot2):
while(lot1>lot2):
lot1=lot1-0.000095
else:
while(lot2>lot1):
lot1=lot1+0.000095
return lat1, lot1,lat2, lot2
def distance(lat1, lon1,lat2, lon2):
lat1=l2f(lat1)
lon1=l2f(lon1)
lat2=l2f(lat2)
lon2=l2f(lon2)
radius = 6371 # km *1000 m
dlat = math.radians(lat2-lat1)
dlon = math.radians(lon2-lon1)
a = math.sin(dlat/2) * math.sin(dlat/2) + math.cos(math.radians(lat1)) \
* math.cos(math.radians(lat2)) * math.sin(dlon/2) * math.sin(dlon/2)
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))
d = radius * c * 1000
return d<config.distance
def get_distance(lat1, lon1,lat2, lon2):
lat1=l2f(lat1)
lon1=l2f(lon1)
lat2=l2f(lat2)
lon2=l2f(lon2)
radius = 6371 # km *1000 m
dlat = math.radians(lat2-lat1)
dlon = math.radians(lon2-lon1)
a = math.sin(dlat/2) * math.sin(dlat/2) + math.cos(math.radians(lat1)) \
* math.cos(math.radians(lat2)) * math.sin(dlon/2) * math.sin(dlon/2)
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))
d = radius * c * 1000
return d
def haversine(lon1, lat1, lon2, lat2):
lat1=l2f(lat1)
lon1=l2f(lon1)
lat2=l2f(lat2)
lon2=l2f(lon2)
"""
Calculate the great circle distance between two points
on the earth (specified in decimal degrees)
"""
# convert decimal degrees to radians
lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2])
# haversine formula
dlon = lon2 - lon1
dlat = lat2 - lat1
a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
c = 2 * asin(sqrt(a))
r = 6371 # Radius of earth in kilometers. Use 3956 for miles
return c * r * 1000
def is_near(locx,locy,myx,myy):
tmp1 = (l2f(locx), l2f(locy))
tmp2 = (l2f(myx), l2f(myy))
res=vincenty(tmp1, tmp2).meters
return res<config.distance