def get_location(location_str):
locator = Nominatim(user_agent='myGeocoder')
location = locator.geocode(location_str)
if not location:
locator = MapQuest(MAPQUEST_API_KEY)
location = locator.geocode(location_str)
return location
def do_geocode(place_name):
# From place name to place object
geocoder = Nominatim()
try:
return geocoder.geocode(place_name)
except Exception:
return do_geocode(place_name)
def form(request):
state = request.GET.get('state', 'PA')
address = request.GET.get('address', 'Liberty Bell')
currency = request.GET.get("currency", "EUR")
# if not state: state = request.POST.get('state', 'PA')
#location = str(g.geocode(STATES_DICT[state])._point[:2])
## Nominatim (from the Latin, 'by name') is a tool to search OSM data by name or address
## OSM stands for OpenStreetMap
g = Nominatim()
location = str(g.geocode(address)._point[:2])
params = {
'form_action':
reverse_lazy('myapp:form'),
'form_method':
'get',
'form':
InputForm({
'state': state,
'address': address,
'currency': currency
}),
'state':
STATES_DICT[state],
'location':
location
}
# 'currency' : CURRENCY_DICT[currency]}
return render(request, 'form.html', params)
def recover_adress(df, year):
locator = Nominatim(user_agent="myGeocoder")
address_dict = {}
add = []
for latitude, longitude in df[df["address_known"] == False][[
"latitude", "longitude"
]].itertuples(index=False):
if not math.isnan(latitude):
add.append((latitude, longitude))
add = set(add)
with tqdm(total=len(add)) as bar:
for latitude, longitude in add:
bar.set_description(
f"processing addresses lat={str(latitude)}, lon={longitude}")
try:
addresse = str(latitude) + ", " + str(longitude)
address_dict[(latitude, longitude)] = locator.reverse(addresse)
except Exception as e:
print(
"Could not find addresse for coordinates ",
str(latitude),
str(longitude),
e,
)
bar.update(1)
for k, v in address_dict.items():
try:
address_dict[k] = v.raw
except:
print("There was an issue with:", k, v)
with open(f"address_{year}.pickle", "wb") as f:
pickle.dump(address_dict, f)
return address_dict
def find_distances(units, cities_list, travel_mode): distances_list = [] geolocator = Nominatim() for i in range(len(cities_list)): if i == len(cities_list)-1: return distances_list else: distance = 0 city1 = cities_list[i] city2 = cities_list[i+1] geocode1 = geolocator.geocode(city1, timeout=5) geocode2 = geolocator.geocode(city2, timeout=5) city1_lat = geocode1.latitude city1_long = geocode1.longitude city2_lat = geocode2.latitude city2_long = geocode2.longitude coord1 = (city1_lat, city1_long) coord2 = (city2_lat, city2_long) # Crow's Flying if travel_mode == 'default': distance = find_direct_distance(units, coord1, coord2) # A mode was specified, so we must call Google Maps API else: distance = find_distance_by_mode(units, travel_mode, coord1, coord2) distances_list.append(distance) return distances_list
def geolocate_contacts(df):
geolocator = Nominatim()
df['lat'] = float('nan')
df['lon'] = float('nan')
min_wait = 1.0
cnt = 0
num_entries = len(df)
for idx, it in enumerate(df['location'][:10]):
sys.stdout.write("\rProcessing user # %d of %d\r"
% (idx+1, num_entries))
sys.stdout.flush()
if it:
# avoids interrupting the loop by time-out errors
try:
# we also limit the rate of request to one per second
# which is the maximum tolerated by nominatim
t0 = time.clock()
location = geolocator.geocode(df.location[idx].encode('utf-8'),
exactly_one=True,
timeout=5)
t1 = time.clock()
dt = min_wait - (t1 - t0)
if dt > 0:
time.sleep(dt)
except:
location = None
if location is not None:
df.lat[idx] = location.latitude
df.lon[idx] = location.longitude
cnt = cnt + 1
def get_data(self, geolocator="Nominatim"):
if geolocator == "Nominatim":
self.log.log("Geolocator chosen: Nominatim.")
_geolocator = Nominatim(user_agent="tags-research-app")
else:
raise NotImplementedError("You can currently only use Nomatim as geolocator in this script.")
try:
geocoded_location = _geolocator.geocode(self.clean_location)
sleep_val = randint(2,5)
self.log.log(f"Sleeping for {sleep_val} seconds...")
time.sleep(sleep_val)
if geocoded_location is not None:
data = {
'lat': geocoded_location.raw.get('lat', None),
'lng': geocoded_location.raw.get('lon', None),
'geolocator': geolocator,
'type': geocoded_location.raw.get('type', None),
'class': geocoded_location.raw.get('class', None),
'display_name': geocoded_location.raw.get('display_name', None),
'boundingbox': geocoded_location.raw.get('boundingbox', None)
}
else:
self.error = True
data = None
except GeocoderTimedOut:
if STRICT:
raise RuntimeError(f"Location {self.clean_location} could not be downloaded. Perhaps you were disconnected?")
else:
self.error = True
data = None
return(data)
def make_map(filename_without_ext,
addresses,
gmic_effect="fx_freaky_bw 90,20,0,0,0,0",
no_display=False,
prefix="LETTER"):
m = StaticMap(800, 600, 80)
g = gmic.Gmic("update")
locator = Nominatim(user_agent="BerlinWallBreaker Agent")
print("geocoding..")
for address in addresses:
loc = locator.geocode(address)
icon_flag = IconMarker((loc.longitude, loc.latitude),
'./samples/icon-flag.png', 12, 32)
m.add_marker(icon_flag)
print(loc)
image = m.render()
output_filename1 = prefix + filename_without_ext + "_original.png"
output_filename2 = prefix + filename_without_ext + ".png"
image.save(output_filename1)
print(output_filename1)
if not no_display:
g.run(output_filename1 + " display")
if "_fx_stylize" in gmic_effect:
gmic.run(output_filename1 + " " + gmic_effect + " output[2] " +
output_filename2 + (" display[2]" if not no_display else ""))
else:
gmic.run(output_filename1 + " " + gmic_effect + " output " +
output_filename2 + (" display" if not no_display else ""))
print(output_filename2)
return output_filename1, output_filename2
def addressLongitude(request):
if request.method == 'POST':
getexcel = request.FILES['file']
excel_data = xlrd.open_workbook(file_contents=getexcel.read())
excel_sheet = excel_data.sheet_names()
required_data = []
for sheetname in excel_sheet:
sh = excel_data.sheet_by_name(sheetname)
for row in range(sh.nrows):
row_valaues = sh.row_values(row)
required_data.append((row_valaues[0]))
excel_data = xlsxwriter.Workbook('E:\\excelfolder\\address1.xlsx')
worksheet = excel_data.add_worksheet()
bold = excel_data.add_format({'bold': 1})
worksheet.write('A1', 'Address', bold)
worksheet.write('B1', 'Latitude', bold)
worksheet.write('C1', 'Longitude', bold)
a = []
for address in required_data[1::]:
locator = Nominatim(user_agent='myGeocoder')
location = locator.geocode(address)
a.append([address, location.latitude, location.longitude])
data = tuple(a)
row = 1
col = 0
for addr, latitude, longitude in (data):
worksheet.write_string(row, col, addr)
worksheet.write_number(row, col + 1, latitude)
worksheet.write_number(row, col + 2, longitude)
row += 1
excel_data.close()
return render(request, 'excel.html')
def firecheck():
if(request.method=='POST'):
loc=request.form['location']
print(loc)
try:
fireloc=[]
geolocator=Nominatim(timeout=15)
print('Done1')
location=geolocator.geocode(loc)
p=location.longitude
q=location.latitude
print('Done2')
conn=connect('firefighters.db')
p1=conn.execute('Select * from adminfire where current_status="Ablaze"')
print("Done3")
q1=p1.fetchall()
print("done4")
for i in q1:
s1=geodesic((p,q),(i[6],i[3])).km
print(i)
if(s1<5):
fireloc.append(str(i[1]))
print("done6")
conn.close()
print("done7")
print(fireloc)
return render_template('fireschecked.html',val1=fireloc)
except:
return render_template('checkforfire.html')
return render_template('checkforfire.html')
def _serializeJsonToModel(self, object: event, json):
try:
point = object.point
end = object.detail.getlink()
if json.getaddress():
locator = Nominatim(user_agent="myGeocoder")
location = locator.geocode(json.getaddress())
end.setpoint(f"{location.latitude}, {location.longitude}")
# point.setlat(location.latitude)
else:
end.setpoint(
f"{json.getlatitudeDest()}, {json.getlongitudeDest()}")
end.setcallsign(json.getendName())
object.detail.setlink(end)
object.detail.contact.setcallsign(json.getrouteName())
object.detail.link_attr.setmethod(json.getmethod)
start = object.detail.getlink()
start.setpoint(f"{json.getlatitude()}, {json.getlongitude()}")
start.setcallsign(json.getstartName())
object.detail.setlink(start)
if json.gettimeout() != '':
object.setstale(staletime=int(json.gettimeout()))
else:
object.setstale(
staletime=RestAPIVariables.defaultGeoObjectTimeout)
return object
except AttributeError as e:
raise Exception(
'a parameter has been passed which is not recognized with error: '
+ str(e))
def createHTML(memberArray):
#testPlace = memberArray[1].getPlaces()
print("Creating your HTML heat map, please be patient...")
lats = []
longs = []
gmap = gmplot.GoogleMapPlotter(37.616063, -76.238841, 5) # Center the Map on Northeast
gmap.apikey = "API-KEY-GOES-HERE" # Hard-code my Google API code for this program
for member in memberArray: # Iterate through the members passed
testPlace = member.getPlaces()
for placeDict in testPlace.values(): # First layer of dict is key: index | value: date/place Dict
for date, place in placeDict.items(): # Second layer is key: date | value: location string
if place is not None:
geolocator = Nominatim(user_agent="familyTree") # Initialize geolocator
location = geolocator.geocode(place, timeout=1000) # Specify timeout to avoid excessive failure
if location is not None:
print("Grabbing ", location, end=" ") # Let user know something is happening
lat, long = location.latitude, location.longitude # Take lats and longs
print(lat, long)
lats.append(lat)
longs.append(long)
markerStr = str(member) + " Date at this location: " + str(date) + " " + place
# Comment this out if you don't want markers
#gmap.marker(lat, long, 'cornflowerblue', title=markerStr)
gmap.heatmap(lats, longs) # Create heatmap
gmap.draw("my_map.html") # Write HTML to file
print("HTML document completed!")
def get_location_coordinates(self, key, address):
# use mapquest
address = self._escape_address(address)
quoted_address = urllib.quote(address)
url = self.base_address_url + '?key={0}&location={1}'.format(key, quoted_address)
response = urllib2.urlopen(url)
result = json.load(response)
try:
loc = result['results'][0]['locations'][0]
return {
'lat': loc['latLng']['lat'],
'long': loc['latLng']['lng'],
}
except Exception:
pass
# if no location was found use nominatim
geolocator = Nominatim(
format_string="%s, Landkreis Sächsische Schweiz-Osterzgebirge, Sachsen, 01833, Deutschland")
try:
locations = geolocator.geocode(address, False)
except GeocoderTimedOut:
locations = None
if locations:
location = locations[0]
return {
'lat': float(location.latitude),
'long': float(location.longitude),
# 'address': location.address,
# 'raw': location.raw,
}
return {}
def post(self, request):
form = LocationForm(request.POST)
if form.is_valid():
street = form.cleaned_data['street']
city = form.cleaned_data['city']
country = form.cleaned_data['country']
locator = Nominatim(user_agent="geo_location")
location = locator.geocode(f'{street}, {city}, {country}')
try:
latitude = location.latitude
longitude = location.longitude
except AttributeError:
text = "Entered address is incorrect - please try again."
return render(request, 'geo_location.html', {
'form': form,
'text': text
})
else:
url = f"https://developers.zomato.com/api/v2.1/geocode?lat={latitude}&lon={longitude}"
request_json = requests.get(
url, headers={'user-key': api.zomato_api})
zomato = request_json.json()
return render(
request, 'geo_location.html', {
'form': form,
'longitude': longitude,
'latitude': latitude,
"zomato": zomato
})
def coordi(message):
if message.text == 'Get location':
x = round(uniform(51.262, 56.172), 4)
y = round(uniform(23.178, 32.777), 4)
x, y = str(x), str(y)
coord = '{},{}'.format(x, y)
geolocator = Nominatim(user_agent='geobot')
location = geolocator.reverse(coord)
r = location.raw
adr = r.get('address')
cc = adr.get('country_code')
loc = location.address
dist = distance.distance(MINSK, coord)
dist = str(dist)
dist = dist.split(' ')
dist = round(float(dist[0]), 2)
dist = 'Distance between Minsk and this place: {} km.\nIf you want to know distance between you and this place ' \
'send your location to bot'.format(dist)
link = 'https://www.google.com/maps/place/{}'.format(coord)
if cc == 'by':
place.clear()
place.append(coord)
bot.send_message(message.chat.id,
"Why don't you go to:\n{}".format(loc))
bot.send_message(message.chat.id, link)
bot.send_message(message.chat.id, dist)
else:
print('None BY')
coordi(message)
def get_location_data(lat, lon):
# Nominatim takes combined lat and lon in one argument
input_location = str(lat + ', ' + lon)
# user_agent can be any email address
geolocator = Nominatim(user_agent="*****@*****.**")
# actual call to get location data
location = geolocator.reverse(input_location)
# the location includes a ton of data - getting the raw data to provide
# more generic information
address = location.raw['address']
display_location = ", ".join([
address.get('city', ''),
address.get('state', ''),
address.get('country', '')
])
# timezone processing requires lat and lon to be separate floats, though
latitude, longitude = float(lat), float(lon)
tz = pytz.timezone(TimezoneFinder().timezone_at(lng=longitude,
lat=latitude))
return display_location, tz
def create(self, validated_data):
print(validated_data)
geolocator = Nominatim()
# location_id = int(validated_data.pop('location_id', None))
lng = validated_data.pop('lng', None)
lat = validated_data.pop('lat', None)
street_address = validated_data.pop('street_address', None)
#owner_id = int(validated_data.pop('user_id', None))
if lat > 0:
location = geolocator.reverse("{}, {}".format(lng, lat))
street_address = location.address
street_address = street_address.split(', ')[0] + ", " + street_address.split(', ')[1]
print(street_address)
else:
location = geolocator.geocode(street_address)
lat = location.latitude
lng = location.longitude
data = {'lat': lat, 'lng': lng, 'street_address': street_address}
location = Location.objects.create(**data)
# limitations_serializer = LimitationSerializer(data={'authority_id':10,'reason':'smth','location_id':location._get_pk_val()}, many=True)
# print(limitations_serializer.initial_data)
#
# if limitations_serializer.is_valid():
#
# print(1)
# limitations = limitations_serializer.save()
# print(limitations)
# else:
# print(limitations_serializer.errors)
# #limitations_data = self.context.get('view').request.FILES
# print(limitations.__dir__)
return location
def _serializeJsonToModel(self, object, json):
try:
object.setuid(json.getuid())
object.sethow(json.gethow())
COTTYPE = json.getgeoObject()
if "-.-" in COTTYPE:
ID = json.getattitude()
COTTYPE = COTTYPE.replace('-.-', ID)
else:
pass
object.settype(COTTYPE)
point = object.point
if json.getaddress():
locator = Nominatim(user_agent="myGeocoder")
location = locator.geocode(json.getaddress())
point.setlon(location.longitude)
point.setlat(location.latitude)
else:
point.setlon(json.getlongitude())
point.setlat(json.getlatitude())
object.detail.contact.setcallsign(json.name)
if json.gettimeout() != '':
object.setstale(staletime=int(json.gettimeout()))
else:
object.setstale(staletime=RestAPIVariables.defaultGeoObjectTimeout)
return object
except AttributeError as e:
raise Exception('a parameter has been passed which is not recognized with error: '+str(e))
def getLocationsCoordinates(locations):
from geopy import Nominatim
from geopy.exc import GeocoderTimedOut
import time
geolocator = Nominatim()
geoPoints = []
print("Starting converting locations to coordinates")
for loc in locations:
if loc in locationDict:
#check if not found before
if locationDict[loc] != [-999, -999]:
geoPoints.append(locationDict[loc])
else:
time.sleep(3)
try:
geoLoc = geolocator.geocode(loc)
#continue if not found, but fill dictionary entry
if not geoLoc:
locationDict[loc] = [-999, -999]
continue
locationDict[loc] = [geoLoc.longitude, geoLoc.latitude]
print(locationDict[loc])
geoPoints.append(locationDict[loc])
except GeocoderTimedOut as e:
#limit the requests, sleep thread for a bit
#in case Nominatim services denies our query
print("Sleeping for 15 minutes")
time.sleep(15 * 60)
return geoPoints
def display_state(request, s='r'):
## http://127.0.0.1:8000/myapp/display_state/ default display CA
## http://127.0.0.1:8000/myapp/display_state/?state=CA
state = request.GET.get('state', 'CA')
statefp = STATEFP_DICT[state]
state_name = STATES_DICT[state]
## Read geo (county) data from cb_2015_us_county_20m.shp
filename = join(settings.STATIC_ROOT, 'myapp/cb_2015_us_county_20m.shp')
counties = gpd.read_file(filename)
counties["lname"] = counties["NAME"].str.lower()
counties["STATEFP"] = counties["STATEFP"].astype(int)
counties = counties[counties["STATEFP"] == statefp].set_index("lname")
ft = "State: " + state_name + " Map"
g = Nominatim()
m = folium.Map(g.geocode(state_name)._point[:2], zoom_start=6)
folium.GeoJson(counties).add_to(m)
map_string = m._repr_html_().replace("width:90%;", "height:60%;float:top;",
1)
return render(request, 'view_states.html', {
"title": ft,
"map_string": map_string
})
def tv_map(request):
print(request.GET)
# google_client = GoogleDriveClient()
# dirs = google_client.list_dir()
# print(dirs)
# for dir in dirs:
# images = (google_client.list_dir(dir['id']))
# if len(images) > 0:
# fd = open(images[0]['name'], 'w')
# google_client.download_file(images[0]['id'], fd)
# local_path = request.GET.get('path')
local_path = "tv/places" # insert the path to your directory
image_list = []
place_list = os.listdir(STATIC_FOLDER + local_path)
geolocator = Nominatim(user_agent="hengji")
for place in place_list:
images = os.listdir(os.path.join(STATIC_FOLDER + local_path, place))
if len(images) > 0:
tmp_image = ImageHolder()
tmp_image.path = local_path + '/' + place
tmp_image.filename = images[0]
tmp_image.city = place
location = geolocator.geocode(tmp_image.city)
tmp_image.latitude = location.latitude
tmp_image.longitude = location.longitude
image_list.append(tmp_image)
print(tmp_image.filename, tmp_image.path, tmp_image.get_image_path())
return render_to_response('tv/map.html', {'images': image_list})
def _serializeJsonToModel(self, object, json):
# runs if emergency is on
if isinstance(json, EmergencyPost):
object.settype(
RestEnumerations.emergencyTypes[json.getemergencyType()])
object.detail.contact.setcallsign(json.getname())
object.detail.emergency.settype(json.getemergencyType())
if json.getaddress():
locator = Nominatim(user_agent="myGeocoder")
location = locator.geocode(json.getaddress())
object.point.setlon(location.longitude)
object.point.setlat(location.latitude)
else:
object.point.setlon(json.getlongitude())
object.point.setlat(json.getlatitude())
DatabaseController().create_ActiveEmergency(object)
return object
# runs if emergency is off
elif isinstance(json, EmergencyDelete):
object.setuid(json.getuid())
DatabaseController().remove_ActiveEmergency(
query=f'uid == "{object.uid}"')
object.settype('b-a-o-can')
object.detail.emergency.setcancel('true')
return object
def compareTeams(team, data):
starters = getStarters(data[team]["players"])
hometowns = list(map(lambda x: x["hometown"], starters))
geolocator = Nominatim(user_agent="CBBScraping")
school = geolocator.geocode(searchfor(team), addressdetails=True, timeout=10)
if school.raw["address"]["country_code"] != "us":
print(school)
locs = list(map(lambda x: geolocator.geocode(x, timeout=10), hometowns))
avgLat = (
reduce(
lambda x, y: x + y,
list(map(lambda x: x.latitude if x != None else 39.86, locs)),
)
/ 5
)
avgLon = (
reduce(
lambda x, y: x + y,
list(map(lambda x: x.longitude if x != None else -98.6, locs)),
)
/ 5
)
avgLocation = (avgLat, avgLon)
schoolLocation = (school.latitude, school.longitude)
score = distance.distance(avgLocation, schoolLocation).miles
return score
def get_weather(entities):
location_name = None
for item in entities:
if item['name'] == 'location':
location_name = item['value']
break
if not location_name:
return choice(ANSWERS['location_not_provided'])
locator = Nominatim(user_agent='myGeocoder')
location = locator.geocode(location_name)
api_id = CONFIG['python_datas']['api_id']
url = f'https://api.openweathermap.org/data/2.5/weather?lat={location.latitude}&lon={location.longitude}&appid={api_id}'
result = json.loads(requests.get(url).text)
current_condition = result['weather'][0]['description']
response_string = choice(ANSWERS['weather_received'])
response_string = response_string.replace('@city', location_name)
response_string = response_string.replace('@weather', current_condition)
return response_string
def search_latitude_longitude_geolocator(strcyte):
from geopy import Nominatim
geolocator = Nominatim(user_agent="sisnutri")
try:
result = geolocator.geocode(strcyte)
return result
except:
return None
def geocoding(location):
"""
Geocodes location to coordinates
"""
geocoder = Nominatim(user_agent='Programming project')
time.sleep(1)
loc = geocoder.geocode(location)
return loc.latitude, loc.longitude
def addresTocoordinates(address):
try:
from geopy import Nominatim
geolocator = Nominatim(user_agent="my-application",timeout=20)
location = geolocator.geocode(address)
return [location.latitude,location.longitude]
except :
return [-1,-1]
def calc_distance(loc1, loc2):
#print('loc1: ' + loc1)
#print('loc2: ' + loc2)
d = distance.distance
g = Nominatim(user_agent="webapp")
_, loc1_geo = g.geocode(loc1)
_, loc2_geo = g.geocode(loc2)
return d(loc1_geo, loc2_geo).miles
def _geom_from_address(address):
"""Get a Shapely point geometry by geocoding an address with
Nominatim.
"""
if not _has_geopy:
raise ImportError('Geopy is required for address geocoding.')
geoloc = Nominatim(user_agent=__name__)
loc = geoloc.geocode(address)
return Point(loc.longitude, loc.latitude)
def get_city_on_coord(lat, lon):
geolocator = Nominatim(user_agent='test/1')
location = geolocator.reverse(f'{lat},{lon}', language='en')
loc_dict = location.raw
if 'city' in loc_dict['address'].keys():
return loc_dict['address']['city']
else:
return loc_dict['address']['municipality']
def getAlpha2Countries(self):
geolocator = Nominatim(timeout=60)
for location in self.locations:
geo = geolocator.geocode(location)
if geo is not None:
loc = geolocator.reverse("{}, {}".format(
geo.latitude, geo.longitude))
self.alpha2Countries.append(
loc.raw['address']['country_code'].upper())
def find_latitude_longitude(location):
geolocator = Nominatim(user_agent="my_user_agent")
location = geolocator.geocode(location)
info = {
'address': location.address,
'latitude': location.latitude,
'longitude': location.longitude
}
return info
def save (self, *args, **kwargs):
if self.longitude is None or self.latitude is None:
geolocator = Nominatim ()
full_add = str(self.street_number) + " " + self.street_name + " " + self.city + " " + self.country
print (full_add)
location = geolocator.geocode (full_add)
if location is not None:
self.longitude = location.longitude
self.latitude = location.latitude
super (sp_address, self).save (*args, **kwargs)
def update(self, instance, validated_data):
instance.name = validated_data.get('name', instance.name)
instance.address = validated_data.get('address', instance.address)
instance.hours = validated_data.get('hours', instance.hours)
instance.phone_number = validated_data.get('phone_number', instance.phone_number)
if validated_data.get('address', False):
geolocator = Nominatim()
location = geolocator.geocode(instance.address)
instance.latitude = location.latitude
instance.longitude = location.longitude
instance.save()
return instance
def doAction(self,r,sr,words,sensorList):
os.system("espeak -s 120 'searching'")
lastFix = sensorList['location'].getLastData()
if lastFix["lastFix"] == None:
return "I don't know where you are"
if("how high up" in words or "altitude" in words):
return "you are " + str(int(float(lastFix["lastFix"]["alt"]))) + " meters up."
geoloc = Nominatim()
coor = str(lastFix["lastFix"]['lat'])+", "+str(lastFix["lastFix"]['lon'])
loc = geoloc.reverse(coor,timeout=10)
loc1 = loc.address.split(", ")
del loc1[-4:]
return "you are at " + str(loc1)
def save (self, *args, **kwargs):
geolocator = Nominatim ()
full_add = str(self.street_number) + " " + self.street_name + " " + self.city + " " + self.country
location = geolocator.geocode (full_add)
if location is not None:
self.longitude = location.longitude
self.latitude = location.latitude
else :
self.longitude = 0
self.latitude = 0
print (full_add)
super (sp_location, self).save (*args, **kwargs)
def get_queryset(self):
"""
Querysets:
1. home: filter for only OPEN matches ordered by date of match upcoming
2. lat and long (latitude and longitude): use to order by distance
3. *zip code: use to order by distance
4. sport: only include parks with that sport
5. username: filter by only matches the user with that username
participated in
* Uses Nominatim from the geopy library to get latitude and longitude
based on the zipcode.
Default Ordering: by distance
If no location provided, default location is Las Vegas, NV.
Uses Geos Point objects to order by distance.
:return: Matches ordered by distance
"""
qs = super().get_queryset()
sport = self.request.query_params.get('sport', None)
home = self.request.query_params.get('home', None)
username = self.request.query_params.get('username', None)
latitude = self.request.query_params.get('lat', None)
longitude = self.request.query_params.get('long', None)
zip_code = self.request.query_params.get('zip', None)
if sport:
sport = sport.title()
qs = qs.filter(sport=sport).filter(is_open=True)
if username:
qs = qs.filter(players__username=username).order_by('-date')
if home:
qs = qs.filter(is_open=True).order_by('date')
if latitude and longitude:
pnt = Geos('POINT(' + str(longitude) + ' ' + str(latitude) + ')',
srid=4326)
qs = qs.filter(is_open=True)
elif zip_code:
geolocator = Nominatim()
location = geolocator.geocode(zip_code + ' NV')
pnt = Geos('POINT(' + str(location.longitude) + ' ' +
str(location.latitude) + ')', srid=4326)
qs = qs.filter(is_open=True)
else:
pnt = Geos('POINT(-115.13983 36.169941)', srid=4326)
by_distance = qs.annotate(distance=Distance(
'park__location', pnt)).order_by('distance')
return by_distance
def get_queryset(self):
"""
Querysets:
1. lat and long (latitude and longitude): use to order by distance
2. search: if 5-digit *zip code, use for distance, otherwise search for
park name
3. sport: only include parks with that sport
4. courts: exclude parks with no listed courts
* Uses Nominatim from the geopy library to get latitude and longitude
based on the zipcode.
Default Ordering: by distance
If no location provided, default location is Las Vegas, NV.
Uses Geos Point objects to order by distance.
:return: Parks ordered by distance
"""
qs = super().get_queryset()
latitude = self.request.query_params.get('lat', None)
longitude = self.request.query_params.get('long', None)
search = self.request.query_params.get('search', None)
sport = self.request.query_params.get('sport', None)
courts = self.request.query_params.get('courts', None)
pnt = None
if sport:
sport = sport.title()
qs = qs.filter(court__sport=sport)
if courts:
qs = qs.annotate(count=Count('court')).exclude(count=0)
if search:
zip_code = re.match('^\d{5}$', search)
if zip_code:
geolocator = Nominatim()
location = geolocator.geocode(search + ' NV')
pnt = Geos('POINT(' + str(location.longitude) + ' ' +
str(location.latitude) + ')', srid=4326)
else:
qs = qs.filter(name__icontains=search)
if latitude and longitude:
pnt = Geos('POINT(' + str(longitude) + ' ' + str(latitude) + ')',
srid=4326)
if not pnt:
pnt = Geos('POINT(-115.13983 36.169941)', srid=4326)
by_distance = qs.annotate(distance=Distance(
'location', pnt)).order_by('distance')[:20]
return by_distance
def geocode(raw_address: dict) -> dict:
"""
Geocode an address with Nominatim (http://nominatim.openstreetmap.org).
The returned osm_id is used as the primary key in the checkpoint table.
So, if we can't geocode an address, it will won't make it into the database.
"""
g = Nominatim()
json_address = {'postalcode': raw_address['postal_code'],
'street': raw_address['address'],
'city': raw_address['city'],
'country': 'Germany'}
# TODO Must not default to Germany
nothing = {'osm_id': None,
'lat': None,
'lon': None,
'display_name': None}
if not all(json_address.values()):
if DEBUG:
print('Nominatim skipped {street} due to missing field(s).'
.format(street=raw_address['address']))
return nothing
else:
try:
response = g.geocode(json_address)
except GeocoderTimedOut:
print('Nominatim timed out for {street}.'
.format(street=raw_address['address']))
geocoded = nothing
else:
if response is None:
geocoded = nothing
verb = 'failed to match'
else:
geocoded = response.raw
verb = 'matched'
if DEBUG:
print('Nominatim {verb} {street}.'
.format(verb=verb, street=raw_address['address']))
return geocoded
def doAction(self,r,sr,words,sensorList):
if "how's the weather in" in words:
location = words.split("how's the weather in")[-1].strip(" ")
else:
os.system("espeak -s 120 'searching'")
lastFix = sensorList['location'].getLastData()
if lastFix["lastFix"] == None:
return "I don't know where you are"
geoloc = Nominatim()
coor = str(lastFix["lastFix"]['lat'])+", "+str(lastFix["lastFix"]['lon'])
loc = geoloc.reverse(coor,timeout=10)
loc1 = loc.address
location = loc1.split(", ")[-2]
location = pywapi.get_location_ids(location)
if len(location) == 0:
return "location not found"
locationId = next (iter (location.keys()))
w = pywapi.get_weather_from_weather_com(locationId, units="imperial")
return "It is " + w["current_conditions"]["temperature"] + "degrees and " + w["current_conditions"]["text"]
def search_twitter(phone_number=None, keywords=None, radius='150'):
global SEARCH_RADIUS
SEARCH_RADIUS = radius
if phone_number is None or not phone_number.isdigit():
return ValueError(['Invalid phone #'])
if keywords is '' or keywords is None:
return ValueError(["No keywords provided"])
streetAddr = query_white_pages(phone_number)
geolocator = Nominatim()
location = geolocator.geocode(streetAddr)
if location is None:
return ValueError(['Invalid phone #'])
lat, lon = location.latitude, location.longitude
tweets = []
tweet_coordinates = []
geocode = '%s,%s,%s%s' % (lat, lon, SEARCH_RADIUS, SEARCH_UNITS)
keywords = keywords.split(',')
for keyword in keywords:
result = TWITTER.search(q=keyword, count=100, geocode=geocode)
num_tweets = len(result['statuses'])
for tweet in range(num_tweets):
tweet_text = result['statuses'][tweet]['text']
name = result['statuses'][tweet]['user']['screen_name']
coordinates = result['statuses'][tweet]['coordinates']
if coordinates is not None:
coordinates = coordinates['coordinates']
tweets.append([name, tweet_text, coordinates])
tweet_coordinates.append(coordinates)
map_url = create_twitter_map(tweet_coordinates)
return tweets
def query_location(self, query):
def swap_coords(geojson):
out = []
for x in geojson:
if isinstance(x, list):
out.append(swap_coords(x))
else:
return geojson[1], geojson[0]
return out
nom = Nominatim()
try:
geo = nom.geocode(query=query, geometry='geojson', timeout=3).raw
geojson = geo['geojson']
except (AttributeError, KeyError):
raise FailedQuery('Query for {} did not return results.'.format(query))
self.log.info('Nominatim returned {} for {}'.format(geo['display_name'], query))
geojson['coordinates'] = swap_coords(geojson['coordinates'])
self.location = shape(geojson)
def transform_zip(next_crime_raw):
geolocator = Nominatim()
location = geolocator.reverse(str(str(next_crime_raw['lat']) + ", " + str(next_crime_raw['lon'])))
zip = location.raw['address']['postcode']
location = geolocator.geocode(str(zip))
boundingbox = location.raw['boundingbox']
maxlat = float(boundingbox[1])
minlat = float(boundingbox[0])
maxlng = float(boundingbox[3])
minlng = float(boundingbox[2])
meanlat = (maxlat + minlat) / 2
meanlng = (maxlng + minlng) / 2
try:
zip = re.search('^787d{2}$', zip).group(1)
print('zip: ' + str(zip))
except Exception:
pass
return Zip(zip_code=zip, lat=meanlat, lng=meanlng, pop=20000, family_income=50000)
class AvgData():
"""Class for calculating average data, wu_key and io_key
, are for api keys for forecastio and wunderground"""
def __init__(self, city_name, wu_key, io_key, offset):
self.geolocator = Nominatim()
self.city_name = self.geolocator.geocode(city_name)
self.wu_key = wu_key
self.io_key = io_key
self.offset = offset
def get_lat_long(self):
lat = self.city_name.latitude
long = self.city_name.longitude
loc_data = [lat, long]
return loc_data
def temperature(self):
lat = self.get_lat_long()[0]
lng = self.get_lat_long()[1]
wu_data = ScrapWu(self.get_lat_long()[0], self.get_lat_long()[
1], self.offset, self.wu_key).get_temperature()
io_data = ScrapIO(self.get_lat_long()[0], self.get_lat_long()[
1], self.offset, self.io_key).get_avg_temperature()
avg_temperature = int(wu_data + io_data) / 2
return avg_temperature
def wind(self):
"""scraps wind from wunderground and forecast
io and returns average daily in KpH"""
wu_data = ScrapWu(self.get_lat_long()[0], self.get_lat_long()[
1], self.offset, self.wu_key).get_wind()
io_data = ScrapIO(self.get_lat_long()[0], self.get_lat_long()[
1], self.offset, self.io_key).get_avg_wind()
avg_wind = int(wu_data + io_data) / 2
return avg_wind
def time(self):
io_data = ScrapIO(self.get_lat_long()[0], self.get_lat_long()[
1], self.offset, self.io_key).get_time()
return io_data
'017E': 200000,
}
if __name__ == "__main__":
data_file = open("extraction/zip_data.out")
data = json.load(data_file)
for zip_code in zip_codes:
zip_data = data[str(zip_code)]
zipcode = session.query(Zip).from_statement(text('SELECT * FROM zip WHERE zip_code = :zip_code')).params(zip_code
=zip_code).first()
if zipcode is None:
# Add a new zipcode
print("zipcode not in table already: ", zip_code)
geolocator = Nominatim()
location = geolocator.geocode(str(zip_code))
# print(location.raw)
boundingbox = location.raw['boundingbox']
maxlat = float(boundingbox[1])
minlat = float(boundingbox[0])
maxlng = float(boundingbox[3])
minlng = float(boundingbox[2])
meanlat = (maxlat + minlat) / 2
meanlng = (maxlng + minlng) / 2
new_zip = Zip(zip_code=zip_code, lat=meanlat, lng=meanlng, pop=20000, family_income=50000)
try:
session.add(new_zip)
session.commit()
except Exception as e:
print(e)
#
# Run this from the _talks/ directory, which contains .md files of all your talks.
# This scrapes the location YAML field from each .md file, geolocates it with
# geopy/Nominatim, and uses the getorg library to output data, HTML,
# and Javascript for a standalone cluster map.
#
# Requires: glob, getorg, geopy
import glob
import getorg
from geopy import Nominatim
g = glob.glob("*.md")
geocoder = Nominatim()
location_dict = {}
location = ""
permalink = ""
title = ""
for file in g:
with open(file, 'r') as f:
lines = f.read()
if lines.find('location: "') > 1:
loc_start = lines.find('location: "') + 11
lines_trim = lines[loc_start:]
loc_end = lines_trim.find('"')
location = lines_trim[:loc_end]
def add():
with open("extraction/other_crimes.out") as data_file:
data = json.load(data_file)
crime_data = iter(data['crimes'])
for line in range(1):
next_crime = next(crime_data)
date = next_crime['date']
date = date[:date.find('T')]
converted_year = convert_year(date)
converted_month = convert_month(date)
converted_day = convert_day(date)
#
# next_crime_formatted = Crime(lat=next_crime['lat'], lng=next_crime['lon'], time=datetime.date(year=converted_year, month=converted_month, day=converted_day, address=next_crime['address'], description=next_crime['link'])
# next_crime_type = CrimeType(name=next_crime['type'], desc='crimes are bad')
geolocator = Nominatim()
location = geolocator.reverse("30.25, -97.75")
zip = location.raw['address']['postcode']
location = geolocator.geocode(str(zip))
boundingbox = location.raw['boundingbox']
maxlat = float(boundingbox[1])
minlat = float(boundingbox[0])
maxlng = float(boundingbox[3])
minlng = float(boundingbox[2])
meanlat = (maxlat + minlat) / 2
meanlng = (maxlng + minlng) / 2
#next_zip = Zip(zip_code=zip, lat=meanlat, lng=meanlng)
#next_week = Week(
# crime_1 = Crime(lat=30.28500, lng=-97.7320000, time=datetime.date(year=2015, month=10, day=28), address="gdc", description="Graffiti of pig on building")
# crime_2 = Crime(lat=30.30000, lng=-97.730000, time=datetime.date(year=2015, month=10, day=20), address="Duval Rd", description="Burglary at Quacks Bakery")
# crime_3 = Crime(lat=30.27000, lng=-97.719000, time=datetime.date(year=2015, month=10, day=14), address="12th and Chicon", description="Murder on 12th and Chicon")
crime_type_1 = CrimeType(name='Vandalism', desc = "Vandalism is bad")
crime_type_2 = CrimeType(name='Burglary', desc = "Burglary is bad")
crime_type_3 = CrimeType(name='Assault', desc = "Assault is bad")
zip_1 = Zip(zip_code=78704, lat=32.123, lng=32.123, pop=20000, family_income=50000)
zip_2 = Zip(zip_code=78705, lat=30.123, lng=30.123, pop=23000, family_income=30000)
zip_3 = Zip(zip_code=78706, lat=35.123, lng=35.123, pop=19000, family_income=45000)
week_1 = Week(start=datetime.date(year=2015, month=10, day=11), end=datetime.date(year=2015, month=10, day=17))
week_2 = Week(start=datetime.date(year=2015, month=10, day=18), end=datetime.date(year=2015, month=10, day=24))
week_3 = Week(start=datetime.date(year=2015, month=10, day=25), end=datetime.date(year=2015, month=10, day=31))
#set up all of the foreign key relationships
print("Crime one week: " + str(week_1.start))
try:
for crime in crimes:
print('crime: ' + str(crime))
# session.add()
# session.add(crime_1)
# session.add(crime_2)
# session.add(crime_3)
session.add(crime_type_1)
session.add(crime_type_2)
session.add(crime_type_3)
session.add(zip_1)
session.add(zip_2)
session.add(zip_3)
session.add(week_1)
session.add(week_2)
session.add(week_3)
print("commiting to database")
session.commit()
except Exception as e:
print(e)
session.rollback()
print("Everything broke")
def __init__(self, city_name, wu_key, io_key, offset):
self.geolocator = Nominatim()
self.city_name = self.geolocator.geocode(city_name)
self.wu_key = wu_key
self.io_key = io_key
self.offset = offset
def get_attribute_location_spacy(doc) -> LocationAttribute:
try:
get_attribute_location_spacy.location_wrapper
except AttributeError:
get_attribute_location_spacy.location_wrapper = database_utils.LocationWrapper()
print("attribute location logger name=" + logger.name)
# try:
# get_attribute_location_spacy.logger
# except AttributeError:
# import sys
# from os.path import dirname, abspath
# sys.path.insert(0, dirname(dirname(abspath(__file__))))
# import config
# get_attribute_location_spacy.logger = config.get_logger()
country_exceptions = []
country_candidates = []
city_exceptions = []
city_candidates = []
locations = [] # better to say "regions" -- continents and administrative
geolocator = Nominatim()
for ne in doc.ents:
exceptions = []
candidates = []
for i in range(COUNT_ATTEMPTS):
try:
geocoder = geolocator.geocode(ne.orth_)
break
except geopy.exc.GeopyError as err:
if i is COUNT_ATTEMPTS - 1:
raise err
if ne.label_ not in ['GPE', 'LOC', 'ORG'] or not geocoder:
continue
logger.debug(geocoder)
logger.debug(geocoder.raw)
logger.debug(geocoder.address)
logger.debug(ne.label_)
logger.debug(ne.lemma_)
logger.debug(ne.orth_)
logger.debug(ne.root.lower_)
logger.debug(ne.root.head.lower_)
if ne.label_ == 'LOC' or ne.label_ == 'ORG':
# geocoder = geolocator.geocode(ne.orth_)
gpe_list = get_attribute_location_spacy.location_wrapper.get_by_location(ne.orth_, RegionType['COUNTRY'])
if ne.root.head.lower_ in NEGATIVES:
# country_exceptions = ([] if country_exceptions is None else country_exceptions)
country_exceptions.extend(gpe_list)
else:
# locations = ([] if locations is None else locations)
locations.append(ne.orth_)
country_candidates.extend(gpe_list)
continue
# otherwise
# it is either a city (type='city' & label='GPE')
# or a country (type='administrative' & label='GPE')
type = geocoder.raw['type']
if type == 'city':
exceptions = city_exceptions
candidates = city_candidates
elif type == 'administrative':
exceptions = country_exceptions
candidates = country_candidates
else:
logger.debug('TYPE:')
logger.debug('Spacy type: ', ne.label_)
logger.debug('Nominatim type: ', type)
logger.debug('city')
logger.debug('administrative')
# although we separate the results, the processing is similar for both
if ne.root.head.lower_ in NEGATIVES:
exceptions.append(ne.orth_)
else:
candidates.append(ne.orth_)
if country_candidates == [] \
and country_exceptions == [] \
and city_candidates == [] \
and city_candidates == [] \
and locations == []:
return None
# map(country_exceptions, lambda x: x.upper())
# map(country_candidates, lambda x: x.upper())
# map(city_exceptions, lambda x: x.upper())
# map(city_candidates, lambda x: x.upper())
# map(locations, lambda x: x.upper())
country_list = [x for x in country_candidates if x not in map(lambda x: x.upper(), country_exceptions)]
city_list = [x for x in city_candidates if x not in map(lambda x: x.upper(), city_exceptions)]
result = LocationAttribute(locations=locations, countries=country_list, cities=city_list)
# get_attribute_location_spacy.
logger.debug(result)
return result
sys.exit(2)
zip_code = ''
satellite = ''
for i in arg1:
if (i[0] == '-z'):
zip_code = i[1]
else:
satellite = i[1]
result = get_tle(satellite)
print ''
print "Satellite Info: "+result
result = result.split('\n')
geolocator = Nominatim()
location = geolocator.geocode(zip_code + ", United States")
g = geocoder.elevation((location.latitude, location.longitude))
times = get_times(result, g.meters, location)
#print times
clear_times = []
print 'NOTE: all times are in UTC time'
print ''
#loop through each time found and check to see if visible
for t in times:
clear = is_weather_clear(str(location.latitude),str(location.longitude), t)
night = is_night(str(location.latitude),str(location.longitude), t)
import csv
from geopy import Nominatim
geolocator=Nominatim()
##corpus_path='/home/ahmad/Documents/kerja2 (data)/tes.csv'
#def getFileToGeocode():
# geoCSV = csv.reader(open(corpus_path,'r'))
# geoHeadings = geoCSV.next()
# geoData = [row for row in geoCSV]
# return (geoHeadings,geoData)
#def addToMaster(masterData,accrow):
# masterData.append(accrow)
#def main():
# g = geocoders.Google()
# acc = getFileToGeocode()
# masterHeadings = "Place" ,"Lat/Long"
# masterData=[]
# for accrow in acc[1]:
# print g.geocode(accrow[1])
# addToMaster(masterData,g.geocode(accrow[1]))
# masterCSV = csv.writer(open('master.csv','wb'),dialect='excel')
# masterCSV.writerow(masterHeadings)
# for row in masterData:
# masterCSV.writerow(row)
#if __name__ == "__main__":
zip_dict[z.replace(" ", "")] = city
with open('data/crashdata/chicago_crashes.json') as file:
data = json.load(file)
with open('data/routes.kml') as k_file:
kml_str = k_file.read()
k = kml.KML()
k.from_string(kml_str)
print(len(k._features))
geolocator = Nominatim()
accidents = data['accidents']
# hood_info will store whatever we want to know about a given neighborhood
# ex: '
# {hood: [[incidents], total_incedents, severe, ...]
# we can continue adding info to the dict
hood_info = defaultdict(list)
i = 0
for v in accidents:
# if i == 50:
# break
try:
zippy = \
geolocator.reverse(str(v['lat']) + ', ' + str(v['lng'])).raw['display_name'].split('Illinois')[1].split(
',')[1].replace(" ", "")
except Exception:
def get_geo_location(lat, long):
geo = Nominatim()
string = "{0} , {1}".format(lat, long)
geo_location = geo.reverse(string, timeout=5)
return geo_location.address
"Nigeria",
"Norway",
"Pakistan",
"Palestine",
"Peru",
"Poland",
"Portugal",
"Romania",
"Russia",
"Saint Lucia",
"Serbia",
"South Africa",
"Spain",
"Sweden",
"Switzerland",
"Taiwan",
"Trinidad and Tobago",
"Turkey",
"Ukraine",
"United Kingdom",
"United States",
"Venezuela",
"Vietnam",
"Yemen"]
geolocator = Nominatim()
for country in countries:
try:
location = geolocator.geocode(country)
print country + "," + str(location.latitude) + "," + str(location.longitude)
except:
print country
def get_zip(next_crime_raw):
geolocator = Nominatim()
location = geolocator.reverse(str(str(next_crime_raw['lat']) + ", " + str(next_crime_raw['lon'])))
return location.raw['address']['postcode']
med_events= ['Request EMS and BPD Response', 'UNABLE TO DETERMINE IF CONS/MOVING (E) (F) (P)', 'UNCONSCIOUS PERSON (E) (F) (P)', 'CARDIAC EVENT','ASSIST EMS OFFICIALS ONSCENE (E) (P)','BURNS','PERSON STABBED (P) (E)','MOTOR VEHICLE ACCIDENT','INJURY']
pol_stations=['District A-1 Police Station', 'District D-4 Police', 'District E-13 Police Station', 'District B-3 Police Station', 'District E-18 Police Station', 'District D-14 Police Station', 'Boston Police Headquarters', 'District A-7 Police Station', 'District C-6 Police Station', 'District B-2 Police Station', 'District E-5 Police Station', 'District C-11 Police Station']
hos_stations=['Beth Israel Deaconess Medical Center East Cam', 'Boston City Hospital', 'Boston Specialty & Rehabilitation Hospital', 'Boston Medical Center', "Brigham And Women's Hospital", 'Carney Hospital', "Children's Hospital", 'Dana-farber Cancer Institute', 'Faulkner Hospital', "Franciscan Children's Hospital", 'Kindred Hospital', 'Jewish Memorial Hospital', 'Lemuel Shattuck Hospital', 'Massachusetts Eye & Ear Infirmary', 'Massachusetts General Hospital', 'New England Baptist Hospital', 'Beth Israel Deaconess Medical Center West Cam', 'New England Medical Center', "St. Elizabeth's Hospital", "St. Margaret's Hospital For Women", 'Shriners Burns Institute', 'Spaulding Rehabilitation Hospital', 'Arbour Hospital', 'Va Hospital', 'VA Hospital', 'Hebrew Rehabilitation Center']
repo.dropPermanent("PS_EVENTS")
repo.dropPermanent("HS_EVENTS")
repo.createPermanent("PS_EVENTS")
repo.createPermanent("HS_EVENTS")
print('CREATING PS_EVENTS')
geolocator = geopy.geocoders.GoogleV3()
geolocator = Nominatim()
for x in pol_events:
ins=repo.tbeaudry.P_911.find({'cad_event_type':x})
for y in ins:
lat=0
lon =0
if 'longitude' in y:
lat=y['latitude']
lon=y['longitude']
elif 'udo_event_location_full_street_address' in y:
#continue here to run quick version