def profile(request): u = User.objects.get(username=request.session['user']) wishlist = [Wish(u.username, i.item, i.store, i.count, i.metric) for i in Item.objects.filter(user=u)] stores = [store for store in open(os.path.join(settings.BASE_DIR, "cost/shopping/stores.txt"),"r")] users = User.objects.all().exclude(username=request.session['user']) addsend = [a.address for a in PickupLocation.objects.filter(user=u)] google_maps = GoogleMaps(api_key='AIzaSyC8hihi26xJqO77v4R2qJMii0cn6S2eW8w') userwishlist = [] for user in users: addrec = [] addr = PickupLocation.objects.filter(user=user) for a in addr: addrec.append(a.address) items = google_maps.distance(addrec, addsend).all() for item in items: if item.distance.miles <= 10: userwishlist.append(Wish(i.user, i.item, i.store) for i in Item.objects.filter(user=user)) break userwishlist = [Wish(i.user, i.item, i.store, i.count, i.metric) for i in Item.objects.all().exclude(user=u)] mywishlist = [Wish(i.receiver, i.item, i.store, i.count, i.metric) for i in UserItem.objects.filter(buyer=u)] try: locs = PickupLocation.objects.filter(user=u) except: locs = [] c = {'STATIC_URL':settings.STATIC_URL, 'user':request.session['user'], 'wishlist':wishlist, 'mywishlist':mywishlist, 'userwishlist':userwishlist, 'stores':stores, 'locs':locs, 'feedbackform':FeedbackForm()} return render(request, "shopping_profile.html", c)
def new_property(request): # If the user is submitting the form if request.method == "POST": # Get the instance of the form filled with the submitted data # form = PropertyForm(request.POST) form = PropertyForm(request.POST, request.FILES) # Django will check the form's validity for you if form.is_valid(): # Saving the form will create a new Property object if form.save(): data = form.cleaned_data property_address = data['address'] google_maps = GoogleMaps(api_key='AIzaSyDlHBtlOb1-JpUPZ8CHAZqaNha6Uw_l_ow') location_info = google_maps.query(location=property_address) location_info = location_info.first() Property.objects.filter(address=property_address).update(xcoordinate=location_info.lat) Property.objects.filter(address=property_address).update(ycoordinate=location_info.lng) # After saving, redirect the user to add propertynotes return redirect("new_propertynotes") # Else if the user is looking at the form page else: form = PropertyForm() data = {'form': form} return render(request, "properties/add_property.html", data)
def get_geolocation(): # get Geolocation (lat,lng) from google from geolocation.google_maps import GoogleMaps google_maps = GoogleMaps(api_key='AIzaSyBEQ64NGaq3p_kXC7DuCj55FZdLhpPCMO8') location = google_maps.search(location=LOCATION) my_location = location.first() return my_location
def coordinates(address): coord=[] google_maps=GoogleMaps(api_key=key) location=google_maps.search(location=address) my_location=location.first() coord.append(my_location.lat) coord.append(my_location.lng) return coord
def coordinates(address): coord = [] google_maps = GoogleMaps(api_key=key) location = google_maps.search(location=address) my_location = location.first() coord.append(my_location.lat) coord.append(my_location.lng) return coord
def setLocation(request): if request.method == "GET": return render(request, "shopping_location.html") elif request.method == "POST": google_maps = GoogleMaps(api_key='AIzaSyC8hihi26xJqO77v4R2qJMii0cn6S2eW8w') location = google_maps.search(location=request.POST['address']) my = location.first() u = User.objects.get(username=request.session['user']) PickupLocation(user=u, address="%s %s %s %s" % (my.street_number, my.route, my.city, my.postal_code)).save() return HttpResponseRedirect("/shopping/profile")
def map(request): #all_locations = Location.objects.all() address = "225 Bush Street San Francisco California" google_maps = GoogleMaps(api_key='AIzaSyDlHBtlOb1-JpUPZ8CHAZqaNha6Uw_l_ow') location_info = google_maps.query(location=address) location_info = location_info.first() data = {"location_info":location_info} return render(request, "map.html", data)
def make_postalcode(postalcode_string): """ Takes in zipcode as a string, gets lat and long info using the GoogleMaps API, and adds the zipcode to the PostalCodes table. """ google_maps = GoogleMaps(api_key=os.environ["GOOGLE_API_KEY"]) location = google_maps.search(location=postalcode_string).first() print "\n\n\n\n Google Maps API: location is %r \n\n" % location a = PostalCode(postalcode=int(postalcode_string), latitude=location.lat, longitude=location.lng) db.session.add(a) db.session.commit() temp = PostalCode.query.get(int(postalcode_string)) print "****************\n\n\n\n\n MADE POSTALCODE %r\n\n\n\n\n*************" % temp
def main(): print ("hello world") currentTime = [] address = '1280 Main street, Hamilton ON' google_maps = GoogleMaps(api_key='AIzaSyAb649ImqHvCeKtAA6YdT3Q6WbRRH2FrrQ') location = google_maps.search(location=address) my_location = location.first() locationdata = (str(my_location.lat) + ',' + str(my_location.lng)) timedata = datetime.datetime.now() current = str(timedata) currentTime. append(current[17:19]) currentTime. append(current[14:16]) currentTime. append(current[11:13]) currentTime. append(current[8:10]) currentTime. append(current[5:7]) currentTime. append(current[2:4]) print(locationdata) print currentTime[0] + ',' + currentTime[1] + ',' + currentTime[2] + ',' + currentTime[3] + ',' + currentTime[4] + ',' + currentTime[5]
def main(): print("hello world") currentTime = [] address = '1280 Main street, Hamilton ON' google_maps = GoogleMaps(api_key='AIzaSyAb649ImqHvCeKtAA6YdT3Q6WbRRH2FrrQ') location = google_maps.search(location=address) my_location = location.first() locationdata = (str(my_location.lat) + ',' + str(my_location.lng)) timedata = datetime.datetime.now() current = str(timedata) currentTime.append(current[17:19]) currentTime.append(current[14:16]) currentTime.append(current[11:13]) currentTime.append(current[8:10]) currentTime.append(current[5:7]) currentTime.append(current[2:4]) print(locationdata) print currentTime[0] + ',' + currentTime[1] + ',' + currentTime[ 2] + ',' + currentTime[3] + ',' + currentTime[4] + ',' + currentTime[5]
def new_property(request): s3_url = "https://homedbbucket.s3.amazonaws.com/" # If the user is submitting the form if request.method == "POST": # Get the instance of the form filled with the submitted data form = PropertyForm(request.POST, request.FILES) # Django will check the form's validity if form.is_valid(): # Saving the form will create a new Property object if form.save(): data = form.cleaned_data #using property address to lat and lng info from google map, then update table property_address = data['address'] google_maps = GoogleMaps(api_key=GOOGLE_API_KEY) location_info = google_maps.query(location=property_address) location_info = location_info.first() Property.objects.filter(address=property_address).update(xcoordinate=location_info.lat) Property.objects.filter(address=property_address).update(ycoordinate=location_info.lng) # After saving, redirect the user to add propertynotes return redirect("/properties/") else: print "not saved" else: print "form not valid" # Else if the user is looking at the form page else: form = PropertyForm() print "post failed" #S3 bucket data = {'form': form, 's3_url': s3_url} return render(request, "properties/add_property.html", data)
def setUp(self): self.google_maps = GoogleMaps(api_key=TEST_API_KEY)
def search_radius(search_center, postalcodes, radius): """ Finds zipcodes in the database that are within a search radius of a location. This uses the python library geolocation-python, which uses the GoogleMaps API. Takes in search center as a string, postalcodes as a list of tuples (because that is the format returned from the database), and search radius in miles as an integer. The function returns the list of postal codes in the given list that are within the given radius. """ # Future versions: make a table in the database to store distance search # results. # For now store frequest searches in a dictionary to prevent eof error, # likely from hitting Google Maps API too frequently within a given # amount of time. distances = {'94612': {'94109': 11.2468, '94612': 0.0, '94040': 45.4221, '94115': 13.2973, '95376': 53.1893, '94043': 39.0842, '10013': 2899.3124, }, '94109': {'94109': 0.0, '94612': 10.9361, '94040': 38.9599, '94115': 1.2427, '95376': 62.137, '10013': 2904.9047, '94043': 37.2201, }, } # SQLite returns the distinct postal codes as a list of tuples. Convert this # to a list of postal code strings. postalcodes_in_db = [] for postalcode in postalcodes: postalcodes_in_db.append(postalcode[0]) distinct_postalcodes = postalcodes_in_db postalcodes_within_radius = [] if search_center in distances: distinct_postalcodes = [] postalcodes_to_remove = [] for postalcode in postalcodes_in_db: if postalcode in distances[search_center]: if distances[search_center][postalcode] <= radius: postalcodes_within_radius.append(postalcode) # Always add postalcode to the list of postal codes to remove. postalcodes_to_remove.append(postalcode) # Check if there are still postal codes to check. if len(postalcodes_in_db) > len(postalcodes_to_remove): distinct_postalcodes = [postalcode for postalcode in postalcodes_in_db if postalcode not in postalcodes_to_remove] # Use GoogleMaps API there are still things left in distinct_postalcodes if distinct_postalcodes: google_maps = GoogleMaps(api_key=os.environ['GOOGLE_API_KEY']) # Put search center in a list because that is how the the geolocation # distance module takes it in as a parameter search_center = [search_center] # Now we can calculate distances. items = google_maps.distance(search_center, distinct_postalcodes).all() # Items is list of distance matrix object thingies. Each has an origin, # destination, and distance between the origin and destination. # First we'll take out the matrix thingies within the search # radius of the given search center. matrixthingies = [] for item in items: if (item.distance.miles <= radius): matrixthingies.append(item) # Now we pull out the user location info from the matrixthingies. This info # has the city, state, zipcode and country. destinations = [] for thingy in matrixthingies: destinations.append(thingy.destination) # Now we pull out the zipcode from the list of destinations. for destination in destinations: line = destination.split() postalcode = line[-2].replace(",", "") postalcodes_within_radius.append(postalcode) return postalcodes_within_radius
class GeolocationTest(unittest.TestCase): def setUp(self): self.google_maps = GoogleMaps(api_key=TEST_API_KEY) def test_query(self): address = "New York City Wall Street 15" location = self.google_maps.search(address) self.assertIsNotNone(location.all()) def test_city(self): address = "New York City Wall Street 14" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('New York', my_location.city.decode('utf-8')) def test_route(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('Wall Street', my_location.route.decode('utf-8')) def test_country(self): address = "New York City Wall Street 110" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('United States', my_location.country.decode('utf-8')) def test_country_shortcut(self): address = "New York City Wall Street 2" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('US', my_location.country_shortcut.decode('utf-8')) def test_lat(self): address = "New York City Wall Street 1" location = self.google_maps.search(address) my_location = location.first() self.assertEqual(40.7060081, my_location.lat) def test_lng(self): address = "New York City Wall Street 19" location = self.google_maps.search(address) my_location = location.first() self.assertEqual(-74.0134436, my_location.lng) def test_formatted_address(self): address = "New York City Wall Street 124" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('Charging Bull, Broadway, New York, NY 10004, USA', my_location.formatted_address) def test_administrative_area_level_1(self): address = "New York City Wall Street 125" location = self.google_maps.search(address) my_location = location.first() self.assertEqual( 'New York', my_location.administrative_area[0].name.decode('utf-8')) def test_administrative_area_level_2(self): address = "New York City Wall Street 126" location = self.google_maps.search(address) my_location = location.first() self.assertEqual( 'New York County', my_location.administrative_area[1].name.decode('utf-8')) def test_coding(self): address = "São Paulo" my_location = self.google_maps.search(address).first() self.assertEqual(u"São Paulo", my_location.city.decode('utf-8')) def test_latlng(self): lat = 37.4229210 lng = -122.0852112 my_location = self.google_maps.search(lat=lat, lng=lng).first() self.assertEqual('Mountain View', my_location.city.decode('utf-8'))
import csv from geolocation.google_maps import GoogleMaps data_dir="/home/sachin/Data/EPFL/Sem 2/DH/newdata/" google_maps = GoogleMaps(api_key=YOUR_KEY) with open(data_dir+"locations.csv","r") as fin: with open(data_dir+"coordinates.csv","w") as fout: reader = csv.reader(fin) writer=csv.writer(fout) for line in reader: location = google_maps.search(location=line[1]).first() # sends search to Google Maps. line.append(location.lat) line.append(location.lng) writer.writerow(line)
from geolocation.google_maps import GoogleMaps import IP2Location import geoip2.database # Enter GoogleMap API Key google_maps = GoogleMaps(api_key='AIzaSyDJvXt5YtoHbMkQFBQk-Nok5SgdLwpF5R4') #Define Address for Lookup address = "New York City Wall Street 12" location = google_maps.search(location=address) # sends search to Google Maps. my_location = location.first() # returns only first location. # Read GeoLite Database for IP Address Lookup reader = geoip2.database.Reader('GeoLite2-City.mmdb') #Enter IP Address for Lookup response = reader.city('208.30.113.22') #Print IP Address information print("====================") print(response.city.name) print(response.postal.code) print(response.location.latitude) print(str(response.location.longitude) + " \n") #Google Maps IP Coordinate look up print("My Location - Lat " + str(my_location.lat)) print("My Location - Long " + str(my_location.lng)) # reverse geocode lat = 40.7060008
#Roman Hartmann #[email protected] #--------- #This script takes full street addresses from input csv, runs them through the google maps #geocoding api, and writes results to output csv #--------- #--external libraries used: #pip install geolocation-python from geolocation.google_maps import GoogleMaps oGoogleMaps = GoogleMaps(api_key='AIzaSyDBkYIaHDM2ixsPpjyKAiSozYuIAx7rQTc') import csv sCsvIn = "addresses_by_subnum.csv" sCsvOut = "latlngs_by_subnum.csv" i=0 #line counter with open(sCsvOut, 'w') as fOut: oWriter = csv.writer(fOut) oWriter.writerow(["subnum", "address_lat_i", "address_lng_i"]) with open(sCsvIn, 'r') as fIn: oReader = csv.reader(fIn) next(fIn) #skip heading for lRow in oReader: i+= 1 sSubnum = lRow[0] sAddress = lRow[1] print "{0}:\t{1} \t{2}".format(i, sSubnum, sAddress)
# -*- coding: utf-8 -*- from geolocation.google_maps import GoogleMaps if __name__ == "__main__": address = "New York City" google_maps = GoogleMaps(api_key='your_google_maps_key') lat = 40.7060008 lng = -74.0088189 location = google_maps.search(lat=lat, lng=lng) print location.all() my_location = location.first() print my_location.city print my_location.route print my_location.street_number print my_location.postal_code for administrative_area in my_location.administrative_area: print "%s: %s" % (administrative_area.area_type, administrative_area.name) print my_location.country print my_location.country_shortcut print my_location.formatted_address print my_location.lat
# -*- coding: utf-8 -*- from geolocation.google_maps import GoogleMaps if __name__ == "__main__": address = "New York City" google_maps = GoogleMaps(api_key='your_google_maps_key') lat = 40.7060008 lng = -74.0088189 location = google_maps.search(lat=lat, lng=lng) print location.all() my_location = location.first() print my_location.city print my_location.route print my_location.street_number print my_location.postal_code for administrative_area in my_location.administrative_area: print "%s: %s" % (administrative_area.area_type, administrative_area.name) print my_location.country print my_location.country_shortcut print my_location.formatted_address
class DistanceMatrixTest(unittest.TestCase): def setUp(self): self.google_maps = GoogleMaps(api_key=TEST_API_KEY) def test_distance_matrix(self): origins = ['rybnik', 'oslo'] destinations = ['zagrzeb'] items = self.google_maps.distance(origins, destinations).all() for item in items: if item.origin == 'Rybnik, Poland': self.assertEqual(item.destination, 'Zagreb, Croatia') self.assertEqual(item.distance.kilometers, Decimal(713)) self.assertEqual(item.distance.meters, 713000) self.assertEqual(item.distance.miles, 443.0368) self.assertEqual(str(item.duration), '0d 7h 7m 47s') if item.origin == 'Oslo, Norway': self.assertEqual(item.destination, 'Zagreb, Croatia') self.assertEqual(item.distance.kilometers, 2063) self.assertEqual(item.distance.meters, 2063000) self.assertEqual(item.distance.miles, 1281.8863) self.assertEqual(str(item.duration), '0d 21h 18m 29s') def test_distance_matrix_bicycling(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, const.MODE_BICYCLING).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertEqual(item.distance.kilometers, 1596) self.assertEqual(item.distance.meters, 1596000) self.assertEqual(item.distance.miles, 991.7065) self.assertEqual(str(item.duration), '3d 11h 7m 25s') def test_distance_matrix_walking(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, const.MODE_WALKING).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertEqual(item.distance.kilometers, 1380) self.assertEqual(item.distance.meters, 1380000) self.assertEqual(item.distance.miles, 857.4906) self.assertEqual(str(item.duration), '10d 9h 32m 16s') def test_distance_matrix_avoid_tolls(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, avoid=const.AVOID_TOLLS).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertEqual(item.distance.kilometers, 1542) self.assertEqual(item.distance.meters, 1542000) self.assertEqual(item.distance.miles, 958.1525) self.assertEqual(str(item.duration), '0d 16h 30m 40s') def test_distance_matrix_avoid_highways(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, avoid=const.AVOID_HIGHWAYS).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertEqual(item.distance.kilometers, 1491) self.assertEqual(item.distance.meters, 1491000) self.assertEqual(item.distance.miles, 926.4627) self.assertEqual(str(item.duration), '1d 1h 36m 6s') def test_distance_matrix_avoid_ferries(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, avoid=const.AVOID_FERRIES).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertEqual(item.distance.kilometers, 1851) self.assertEqual(item.distance.meters, 1851000) self.assertEqual(item.distance.miles, 1150.1559) self.assertEqual(str(item.duration), '0d 17h 35m 44s')
#Roman Hartmann #[email protected] #--------- #This script takes full street addresses from input csv, runs them through the google maps #geocoding api, and writes results to output csv #--------- #--external libraries used: #pip install geolocation-python from geolocation.google_maps import GoogleMaps oGoogleMaps = GoogleMaps(api_key='AIzaSyDBkYIaHDM2ixsPpjyKAiSozYuIAx7rQTc') import csv sCsvIn = "addresses_by_subnum.csv" sCsvOut = "latlngs_by_subnum.csv" i = 0 #line counter with open(sCsvOut, 'w') as fOut: oWriter = csv.writer(fOut) oWriter.writerow(["subnum", "address_lat_i", "address_lng_i"]) with open(sCsvIn, 'r') as fIn: oReader = csv.reader(fIn) next(fIn) #skip heading for lRow in oReader: i += 1 sSubnum = lRow[0] sAddress = lRow[1] print "{0}:\t{1} \t{2}".format(i, sSubnum, sAddress)
#!/usr/bin/env python # -*- coding: utf-8 -*- import requests import responses import cgi from postcodes import PostCoder from geolocation.google_maps import GoogleMaps g_m = GoogleMaps(api_key='AIzaSyAGwOOqFQPqt6xyG3UPVkh9dXGeNN4_kpg') #gmaps = googlemaps.Client(key='AIzaSyAGwOOqFQPqt6xyG3UPVkh9dXGeNN4_kpg') #from osmapi import OsmApi pc = PostCoder() #Userpc = raw_input("Enter Postcode") print "Content-Type: text/html" print print """ <html> <head> <style> body { background-color: #d3d3d3; margin: 0 15%; font-family: Roboto; } h1 { background-color: #4169E1; text-align: center; color: #ffffff; font-family: Roboto Condensed; font-weight: Bold; border-bottom: 20px solid #4169E1;
class GeolocationTest(unittest.TestCase): def setUp(self): self.google_maps = GoogleMaps(api_key=TEST_API_KEY) def test_query(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) self.assertIsNotNone(location.all()) def test_city(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('New York', my_location.city.decode('utf-8')) def test_route(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('Wall Street', my_location.route.decode('utf-8')) def test_country(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('United States', my_location.country.decode('utf-8')) def test_country_shortcut(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('US', my_location.country_shortcut.decode('utf-8')) def test_lat(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual(40.7060008, my_location.lat) def test_lng(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual(-74.0088189, my_location.lng) def test_formatted_address(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('Wall Street, New York, NY, USA', my_location.formatted_address) def test_administrative_area_level_1(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual( 'New York', my_location.administrative_area[0].name.decode('utf-8')) def test_administrative_area_level_2(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual( 'New York County', my_location.administrative_area[1].name.decode('utf-8')) def test_coding(self): address = "São Paulo" my_location = self.google_maps.search(address).first() self.assertEqual(u"São Paulo", my_location.city.decode('utf-8')) def test_latlng(self): lat = 37.42291810 lng = -122.08542120 my_location = self.google_maps.search(lat=lat, lng=lng).first() self.assertEqual('Mountain View', my_location.city.decode('utf-8'))
# -- coding: utf-8 -- from geolocation.google_maps import GoogleMaps address = 'New York City Wall Street 12' google_maps = GoogleMaps(api_key='AIzaSyCqBaEO3JOEwpdTb31ImhXBU6t_7KBJWT8') location_info = google_maps.query(location=address) print location_info.all() # return list of all location. location_info = location_info.first() # return only first location. print location_info.city print location_info.route print location_info.street_number print location_info.country print location_info.lat print location_info.lng
# -*- coding: utf-8 -*- from geolocation.google_maps import GoogleMaps if __name__ == "__main__": address = "New York City" google_maps = GoogleMaps(api_key='your_google_maps_key') location = google_maps.search(location=address) print location.all() my_location = location.first() print my_location.city print my_location.route print my_location.street_number print my_location.postal_code for administrative_area in my_location.administrative_area: print "%s: %s" % (administrative_area.area_type, administrative_area.name) print my_location.country print my_location.country_shortcut print my_location.formatted_address print my_location.lat print my_location.lng
__author__ = 'liquidcable' import time import datetime from geolocation.google_maps import GoogleMaps from geolocation.distance_matrix import const origins = ['30.519124,-97.793315'] destinations = ['30.2558053,-97.7391038'] google_maps = GoogleMaps(api_key='AIzaSyCnR7A11dEIwRHDhxOHpfmamptn3AGUNlo') print ("-----------------------------------------------------------") print ("Google Maps Distance - takes a new measurement every minute") print ("Heath Holcomb | liquidcable.com | [email protected]") print ("-----------------------------------------------------------") items = google_maps.distance(origins, destinations).all() for item in items: print ('origin: %s' % item.origin) print ('destination: %s' % item.destination) print ('km: %s' % item.distance.kilometers) print ('m: %s' % item.distance.meters) print ('miles: %s' % item.distance.miles) print ('duration: %s' % item.duration) print ('duration datetime: %s' % item.duration.datetime) for x in range(0,90): print ("-----------------------------------------------------------") time.sleep(600) print ("time: " + time.strftime("%I:%M:%S"))
# -*- coding: utf-8 -*- from geolocation.google_maps import GoogleMaps from geolocation.distance_matrix import const if __name__ == "__main__": origins = ['rybnik', 'oslo'] destinations = ['zagrzeb'] google_maps = GoogleMaps(api_key='your_google_maps_key') items = google_maps.distance(origins, destinations).all() # default mode parameter is const.MODE_DRIVING for item in items: print('origin: %s' % item.origin) print('destination: %s' % item.destination) print('km: %s' % item.distance.kilometers) print('m: %s' % item.distance.meters) print('miles: %s' % item.distance.miles) print('duration: %s' % item.duration) # it returns str print('duration datetime: %s' % item.duration.datetime) # it returns datetime # you can also get items from duration print('duration days: %s' % item.duration.days) print('duration hours: %s' % item.duration.hours) print('duration minutes: %s' % item.duration.minutes) print('duration seconds: %s' % item.duration.seconds) items = google_maps.distance(origins, destinations, const.MODE_BICYCLING).all() for item in items: print('origin: %s' % item.origin)
import os import string import urllib2 #import lxml import time #import requests import re #import mechanize from bs4 import BeautifulSoup import csv #import lxml.html #from urlparse import urlparse from geolocation.google_maps import GoogleMaps google_maps = GoogleMaps(api_key='AIzaSyDevSd4Tb2ZZtl9bZqUhqViAdhQXVHV23k') dir = os.path.dirname(os.path.abspath(__file__)) destination = dir+'/table.csv' if os.path.isfile(destination) == True: #prevents appending old version os.remove(destination) table = open(destination,'w') ids = ['MainContent_lblLocation','MainContent_lblAcctNum', 'MainContent_lblGenAssessment', 'MainContent_lblGenAppraisal', 'MainContent_lblPidLabel', 'MainContent_lblBldCount', 'MainContent_lblLndAcres','MainContent_lblLndAsmt', 'MainContent_lblLndAppr','MainContent_lblMblu'] categories = ['State', 'Town', 'Address', 'Account Number', 'General Assessment', 'General Appraisal', 'PID', 'Building Count', 'Land Acres', 'Land Assesment', 'Land Appraisal', 'MBLU', 'Lat', 'Long', 'URL'] dir = os.path.dirname(os.path.abspath(__file__)) baseURL = "http://gis.vgsi.com/providenceri/"
from geolocation.google_maps import GoogleMaps from geolocation.distance_matrix import const address = "98 w 4th st dunkirk ny 14048" #origins = ["501 Woodrow Avenue Dunkirk New York 14048"] #destinations = ['36 Center street Fredonia New York 14063'] google_maps = GoogleMaps(api_key='AIzaSyBDrUT23Cl31dLl-T6ZRPERYefp8-nH7bY') #items = google_maps.distance(origins, destinations).all() # default mode parameter is const.MODE_DRIVING. location = google_maps.search(location=address) # sends search to Google Maps. print(location.all()) # returns all locations. my_location = location.first() # returns only first location. print(my_location.city) print(my_location.route) print(my_location.street_number) print(my_location.postal_code) for administrative_area in my_location.administrative_area: print("{}: {}".format(administrative_area.area_type, administrative_area.name)) print(my_location.country) print(my_location.country_shortcut) print(my_location.formatted_address) print(my_location.lat) print(my_location.lng) # reverse geocode
class GeolocationTest(unittest.TestCase): def setUp(self): self.google_maps = GoogleMaps(api_key=TEST_API_KEY) def test_query(self): address = "New York City Wall Street 15" location = self.google_maps.search(address) self.assertIsNotNone(location.all()) def test_city(self): address = "New York City Wall Street 14" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('New York', my_location.city.decode('utf-8')) def test_route(self): address = "New York City Wall Street 12" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('Wall Street', my_location.route.decode('utf-8')) def test_country(self): address = "New York City Wall Street 110" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('United States', my_location.country.decode('utf-8')) def test_country_shortcut(self): address = "New York City Wall Street 2" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('US', my_location.country_shortcut.decode('utf-8')) def test_lat(self): address = "New York City Wall Street 1" location = self.google_maps.search(address) my_location = location.first() self.assertAlmostEqual(40.7060081, my_location.lat, 2) def test_lng(self): address = "New York City Wall Street 19" location = self.google_maps.search(address) my_location = location.first() self.assertAlmostEqual(-74.0134436, my_location.lng, 2) def test_formatted_address(self): address = "New York City Wall Street 124" location = self.google_maps.search(address) my_location = location.first() self.assertEqual('Charging Bull, Broadway, New York, NY 10004, USA', my_location.formatted_address) def test_administrative_area_level_1(self): address = "New York City Wall Street 125" location = self.google_maps.search(address) my_location = location.first() self.assertEqual( 'New York', my_location.administrative_area[0].name.decode('utf-8')) def test_administrative_area_level_2(self): address = "New York City Wall Street 126" location = self.google_maps.search(address) my_location = location.first() self.assertEqual( 'New York County', my_location.administrative_area[1].name.decode('utf-8')) def test_coding(self): address = "São Paulo" my_location = self.google_maps.search(address).first() self.assertEqual(u"São Paulo", my_location.city.decode('utf-8')) def test_latlng(self): lat = 37.4229210 lng = -122.0852112 my_location = self.google_maps.search(lat=lat, lng=lng).first() self.assertEqual('Mountain View', my_location.city.decode('utf-8')) def test_administrative_area_resets(self): address = "São Paulo" sao_paulo = self.google_maps.search(address).first() address = "Houston, TX" houston = self.google_maps.search(address).first() self.assertNotEqual(sao_paulo, houston)
class DistanceMatrixTest(unittest.TestCase): def setUp(self): self.google_maps = GoogleMaps(api_key=TEST_API_KEY) self.duration_regex = r'([0-9]*)d ([0-9]*)h ([0-9]*)m ([0-9]*)s' self.delta_km = 25 self.delta_m = 25000 self.delta_miles = 25 def test_distance_matrix(self): origins = ['rybnik', 'oslo'] destinations = ['zagrzeb'] items = self.google_maps.distance(origins, destinations).all() for item in items: if item.origin == 'Rybnik, Poland': self.assertEqual(item.destination, 'Zagreb, Croatia') self.assertAlmostEqual(float(709), item.distance.kilometers, delta=self.delta_km) self.assertAlmostEqual(float(713000), item.distance.meters, delta=self.delta_m) self.assertAlmostEqual(float(443.0368), item.distance.miles, delta=self.delta_miles) self.assertRegexpMatches(str(item.duration), self.duration_regex) if item.origin == 'Oslo, Norway': self.assertEqual(item.destination, 'Zagreb, Croatia') self.assertAlmostEqual(float(2063), item.distance.kilometers, delta=self.delta_km) self.assertAlmostEqual(float(2063000), item.distance.meters, delta=self.delta_m) self.assertAlmostEqual(float(1281.8863), item.distance.miles, delta=self.delta_miles) self.assertRegexpMatches(str(item.duration), self.duration_regex) def test_distance_matrix_bicycling(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, const.MODE_BICYCLING).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertAlmostEqual(float(1596), item.distance.kilometers, delta=self.delta_km) self.assertAlmostEqual(float(1596000), item.distance.meters, delta=self.delta_m) self.assertAlmostEqual(float(991.7065), item.distance.miles, delta=self.delta_miles) self.assertRegexpMatches(str(item.duration), self.duration_regex) def test_distance_matrix_walking(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, const.MODE_WALKING).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertAlmostEqual(float(1380), item.distance.kilometers, delta=self.delta_km) self.assertAlmostEqual(float(1380000), item.distance.meters, delta=self.delta_m) self.assertAlmostEqual(float(857.4906), item.distance.miles, delta=self.delta_miles) self.assertRegexpMatches(str(item.duration), self.duration_regex) def test_distance_matrix_avoid_tolls(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, avoid=const.AVOID_TOLLS).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertAlmostEqual(float(1542), item.distance.kilometers, delta=self.delta_km) self.assertAlmostEqual(float(1542000), item.distance.meters, delta=self.delta_m) self.assertAlmostEqual(float(958.1525), item.distance.miles, delta=self.delta_miles) self.assertRegexpMatches(str(item.duration), self.duration_regex) def test_distance_matrix_avoid_highways(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, avoid=const.AVOID_HIGHWAYS).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertAlmostEqual(float(1542), item.distance.kilometers, delta=self.delta_km) self.assertAlmostEqual(float(1542000), item.distance.meters, delta=self.delta_m) self.assertAlmostEqual(float(958.1525), item.distance.miles, delta=self.delta_miles) self.assertRegexpMatches(str(item.duration), self.duration_regex) def test_distance_matrix_avoid_ferries(self): origins = ['rybnik'] destinations = ['oslo'] item = self.google_maps.distance(origins, destinations, avoid=const.AVOID_FERRIES).first() self.assertEqual(item.origin, 'Rybnik, Poland') self.assertEqual(item.destination, 'Oslo, Norway') self.assertAlmostEqual(float(1851), item.distance.kilometers, delta=self.delta_km) self.assertAlmostEqual(float(1851000), item.distance.meters, delta=self.delta_m) self.assertAlmostEqual(float(1150.1559), item.distance.miles, delta=self.delta_miles) self.assertRegexpMatches(str(item.duration), self.duration_regex)
def setUp(self): self.google_maps = GoogleMaps(api_key=TEST_API_KEY) self.duration_regex = r'([0-9]*)d ([0-9]*)h ([0-9]*)m ([0-9]*)s' self.delta_km = 25 self.delta_m = 25000 self.delta_miles = 25
metro_tran = '/Users/xshuai/Documents/Projects/accessibilityscore/Metro Transit Zip Code.csv' address = "818 West 46th St, Minneapolis MN" # sample user input #address = "55123" #address = "610 Opperman Dr, Eagan, MN" #address = '1455 Upper 55th St E, Inver Grove Heights, MN 55077' apiKey='ffd1c56f9abcf84872116b4cc2dfcf31' # api key for walk/transit score walkscore = WalkScore(apiKey) #transitscore = TransitScore(apiKey) ### extract location information #### geolocator = Nominatim() location = geolocator.geocode(address) #print(location.raw) google_maps = GoogleMaps(api_key='AIzaSyAP3JK8NPEfz8OTdYCGNgpv6wYCUsx4gf8') google_location = google_maps.search(location=address) #print(google_location.all()) # returns all locations. my_location = google_location.first() # returns only first location. code_city = {} code_score = {} with open(metro_tran, 'rU') as infile: for index, line in enumerate(infile): if index == 0: continue content = line.rstrip('\n').split(',') #print(content) primary_city = content[0]
from geolocation.google_maps import GoogleMaps google_maps = GoogleMaps(api_key='AIzaSyBXW--FnarS7Ype4a0WZPTV-JVpHpIwPHA') f = open('E:/city.txt', 'a+') for line in open('e:\\project\\Data\\000\\Trajectory\\a.plt'): lat = line.split()[0] lng = line.split()[1] my_location = google_maps.search(lat=lat, lng=lng).first() print(my_location.city) print(my_location.route) print(my_location.street_number) print(my_location.postal_code) f.write(my_location.city + ' ') f.write(str(my_location.route) + ' ') f.write(my_location.postal_code + '\n') f.write(my_location.street_number + ' \n') f.close() #lat = 39.984333 #lng = 116.318417 #print lat #print lng