def tw_expert_location_geocoding(self, tw_user_location):
"""
Using data from the <tw_location> field in <monexp_db> database,
and python-gmaps Package as wrapper for Google Maps Geocoding API (as part of Google Maps API),
get the latitude and longitude of the expert's location
Arguments:
tw_user_location {str} -- The value of the <tw_user_location> field
of the User object in Twitter
Returns:
[float] -- latitude of the expert's location or None, if the latitude was not determined
[float] -- longitude of the expert's location or None, if the longitude was not determined
"""
try:
gmaps_request = Geocoding(api_key='<your-api_key>')
gmaps_result = gmaps_request.geocode(tw_user_location)
expert_location_lat = gmaps_result[0]['geometry']['location'][
'lat']
expert_location_lng = gmaps_result[0]['geometry']['location'][
'lng']
except:
expert_location_lat = None
expert_location_lng = None
return expert_location_lat, expert_location_lng
def geocode(address, api_key=None):
api_key = getattr(settings, 'WORKON_GOOGLE_API_KEY', api_key)
if api_key and api_key.strip() == "":
api_key = None
api = Geocoding(api_key=api_key)
if address.strip() != '':
original_address = address.strip()
try:
latlng = latlngreg.search(original_address)
if latlng:
results = api.reverse(float(latlng.group(1)),
float(latlng.group(2)))
else:
results = api.geocode(original_address)
if len(results):
results[0]['lng'] = results[0].get('geometry', {}).get(
'location', {}).get('lng', None)
results[0]['lat'] = results[0].get('geometry', {}).get(
'location', {}).get('lat', None)
return results[0]
except NoResults, e:
return {'error': 'NoResults', 'message': str(e.message)}
except GmapException, e:
return {'error': 'GmapException', 'message': str(e.message)}
def index(request):
consumer_key = "YAvBBJnUpgMOWIkBbzjjsCy1q"
consumer_secret = "xPcvMjYjSicdIIcC57E9M8X51sarSiSi3syNjNZpNHn9wbz9gd"
access_token = "841688184467705856-Sm1KiDoZomcOHgsXvJWj9ifXsHR5nc9"
access_token_secret = "IhAGMDIfLn5eWvhUQVFvhqnYZ48q6c9VGZH735a43F3AZ"
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
word = request.GET.get("word", None)
public_tweets = api.search(str(word), retry_count=3, count=50)
api1 = Geocoding()
lat1 = dict(api1.geocode("new york")[0])['geometry']['location']['lat']
lng1 = dict(api1.geocode("new york")[0])['geometry']['location']['lng']
map_osm = folium.Map(location=[lat1, lng1], zoom_start=3)
for tweet in public_tweets:
analysis = textblob.TextBlob(tweet.text)
a = tweet.user.location
try:
if a == '' or len(a) >= 12 or len(a) <= 3 or textblob.TextBlob(
a).detect_language() != 'en' or a == 'interwebs':
lat = random.uniform(30, 60)
lng = random.uniform(-135, -75)
else:
lat = dict(api1.geocode(a)[0])['geometry']['location']['lat']
lng = dict(api1.geocode(a)[0])['geometry']['location']['lng']
if analysis.sentiment[0] > 0:
folium.Marker([lat, lng],
popup=str(analysis.sentiment) + "location:" +
str(a) + "latitude:" + str(round(lat, 2)) +
"longitude:" + str(round(lng, 2)),
icon=folium.Icon(color='green')).add_to(map_osm)
elif analysis.sentiment[0] == 0:
folium.Marker([lat, lng],
popup=str(analysis.sentiment) + "location:" +
str(a) + "latitude:" + str(round(lat, 2)) +
"longitude:" + str(round(lng, 2)),
icon=folium.Icon(color='blue')).add_to(map_osm)
elif analysis.sentiment[0] < 0:
folium.Marker([lat, lng],
popup=str(analysis.sentiment) + "location:" +
str(a) + "latitude:" + str(round(lat, 2)) +
"longitude:" + str(round(lng, 2)),
icon=folium.Icon(color='red')).add_to(map_osm)
except:
pass
map_osm.save('blog2/templates/blog2/osm.html')
return render(request, "blog2/osm.html")
def look_uber(self, source, destination, cab_type, intent):
api = Geocoding()
try:
source_loc = api.geocode(source)
source_lat_long = source_loc[0]['geometry']['location']
start_lat = source_lat_long['lat']
start_lng = source_lat_long['lng']
except:
return 'Enter Valid Source.\n'
try:
destination_loc = api.geocode(destination)
destination_lat_long = destination_loc[0]['geometry']['location']
end_lat = destination_lat_long['lat']
end_lng = destination_lat_long['lng']
except:
return 'Enter Valid destination.\n'
try:
response = client.get_price_estimates(start_latitude=start_lat,
start_longitude=start_lng,
end_latitude=end_lat,
end_longitude=end_lng,
seat_count=2)
estimate = response.json
for cab_types in estimate['prices']:
if cab_types['localized_display_name'].lower(
) == cab_type.lower():
if (intent == 'book'):
out = 'Booking ' + (
cab_type) + ' with averege fare ' + (
cab_types['estimate']
) + '. Your journy will be ' + str(
cab_types['distance']
) + ' KM long and will take ' + str(
cab_types['duration'] / 60) + ' minutes. '
return out + self.cab_details()
else:
out = str(cab_type) + ' with averege fare ' + (
cab_types['estimate']
) + 'is available. Distance will be ' + str(
cab_types['distance']
) + ' KM and it will take ' + str(
cab_types['duration'] / 60) + ' minutes.'
print(out)
return str(out)
except uber_error.ClientError as e:
return 'Distance between two points exceeds 100 miles'
def test_json_like_geocode_call(self):
gmaps_api = Geocoding(
**{
'sensor': True,
'use_https': True,
'api_key': u'{}'.format(settings.GMAPS_API_KEY)
})
california = GmapsItem.objects.get(short_name="CA")
california_response = california.get_response_json()
geocode_response = gmaps_api.reverse(
float(california.lat), float(california.lng), **{
'language': 'en',
'result_type': ['administrative_area_level_1']
})
self.assertEqual(california_response, json.dumps(geocode_response[0]))
def get_zip(loc):
try:
latitude = loc[0].get('data-latitude')
longitude = loc[0].get('data-longitude')
google_api = Geocoding('AIzaSyBkWTcFg-kawvHmt1MryKvMcpmsNmrGWPU')
map_loc = google_api.reverse(float(latitude), float(longitude))
items = map_loc[0]['address_components']
result = [
item['long_name'] for item in items
if item['types'][0] == 'postal_code'
]
code = 'USA-' + result[0]
return code
except IndexError:
return None
def look_uber(source,destination=None):
api = Geocoding()
try:
source_loc = api.geocode(source)
source_lat_long = source_loc[0]['geometry']['location']
start_lat=source_lat_long['lat']
start_lng=source_lat_long['lng']
except:
print('Enter Valid Source.\n')
print('Please let me know if you want to know anything more')
return('null')
if destination :
try:
destination_loc = api.geocode(destination)
destination_lat_long = destination_loc[0]['geometry']['location']
end_lat=destination_lat_long['lat']
end_lng=destination_lat_long['lng']
except:
print('Enter Valid destination.\n')
print('Please let me know if you want to know anything more')
return('null')
else:
end_lat=12.9173312 # latitude of Central Silk Board
end_lng=77.6212483 # longitude of Central Silk Board
try:
response = client.get_price_estimates(
start_latitude=start_lat,
start_longitude=start_lng,
end_latitude=end_lat,
end_longitude=end_lng,
seat_count=2
)
estimate = response.json
cab_details_df= uber_cab_details(estimate)
cab_details_df.fillna(0, axis=1, inplace=True)
#print('Following are the cabs availability\n')
#print(cab_details_df)
return cab_details_df
except uber_error.ClientError as e:
print('Distance between two points exceeds 100 kms\n')
print('Please let me know if you want to know anything more')
return('null')
def geo(self, search):
"""
Get a dict_location from gmaps.
:param search:
:return: dict_location
"""
try:
gmaps = Geocoding(api_key=MAP_API_KEY)
geocode_result = gmaps.geocode(search, language='fr')[0]
dict_location = {}
for libelle, item in geocode_result.items():
if libelle == 'formatted_address':
dict_location['adresse'] = item
elif libelle == 'geometry':
dict_location['latitude'] = item['location']['lat']
dict_location['longitude'] = item['location']['lng']
return dict_location
except:
return False
#use python_gmaps module #Many online providers such as Google & Bing have geocoding services #Here is a code to get a Lat & Lng from Google import sys from gmaps import Geocoding #create api_key using => https://developers.google.com/maps/documentation/geocoding/start #api = Geocoding(api_key='Your API_KEY') api = Geocoding(api_key='AIzaSyBGJgF7gltKbGbyEdio03s5vmYoIc6Uww8') #find entered loctaion using api geocode geofind = api.geocode(sys.argv[1]) geofind[0] print(geofind[0]['geometry']['location'])
from multiprocessing import Pool
from gmaps import Geocoding
api = Geocoding()
PLACES = (
'Reykjavik', 'Vien', 'Zadar', 'Venice',
'Wrocław', 'Bolognia', 'Berlin', 'Słubice',
'New York', 'Dehli',
)
POOL_SIZE = 4
def fetch_place(place):
return api.geocode(place)[0]
def present_result(geocoded):
print("{:>25s}, {:6.2f}, {:6.2f}".format(
geocoded['formatted_address'],
geocoded['geometry']['location']['lat'],
geocoded['geometry']['location']['lng'],
))
def main():
with Pool(POOL_SIZE) as pool:
results = pool.map(fetch_place, PLACES)
from gmaps import Geocoding
from gmaps import errors
import sys
geo = Geocoding(api_key="AIzaSyCAU19MydrGYH5TulC8jFS9EYv8EiYLegY")
address = "".join(sys.argv[1:])
place = geo.geocode(address)[0]
print(place["place_id"] + "\t" + str(place["geometry"]["location"]["lat"]) +
"\t" + str(place["geometry"]["location"]["lng"]))
# エキスパートPythonプログラミング 改訂2版 13章
# マルチスレッドその２
# ワーカースレッド内で発生した例外をメインスレッドに返す
import time
from gmaps import Geocoding
from threading import Thread, current_thread
from queue import Queue, Empty
from util import PLACES, get_config
api = Geocoding(api_key=get_config()["geocode_api_key"])
def fetch_place(place):
geocoded = api.geocode(place)[0]
return geocoded, current_thread().name
def present_result(geocoded, thread_name):
print(
f'{geocoded["formatted_address"]:>60s}, {geocoded["geometry"]["location"]["lat"]:6.2f}, {geocoded["geometry"]["location"]["lng"]:6.2f} [{thread_name}]'
)
def worker(work_queue, results_queue):
# 各々のスレッドは、work_queue から取り出して処理する
# どの都市をどのスレッドが処理するかは、その時次第
while not work_queue.empty():
try:
item = work_queue.get(block=False)
except Empty:
"""
Main backend file for SmartPark project.
Created by:
Yosef Leibman
Abhishek Kapoor
Sultan Sidhu
for TD Bank Elevate Hackathon, 22 September 2018.
"""
from gmaps import Geocoding
from json import JSONDecoder
import json
instance = Geocoding(api_key="<your api key>") # todo: read api key from a txt file.
file = open("/Users/sultansidhu/Desktop/DataFiles/greenPParking2015.json")
stuff = file.read()
jsonstuff = json.loads(stuff)
# for x in jsonstuff['carparks']:
# print(x, end="\n\n\n\n\n")
class ParkingClass:
def __init__(self, location: tuple, address: str, rate_per_half_hour: float, capacity: int):
"""
Creates a new Parking object
"""
self.location = location
self.address = address
self.rate_per_hour = rate_per_half_hour
self.capacity = capacity
self.proximity_rating = 0
# -*- coding: utf-8 -*-
import pytest
from gmaps import errors
from gmaps import Geocoding
from .testutils import retry
geocoding = Geocoding(sensor=False)
@retry
def test_geocode():
results = geocoding.geocode(u"Wrocław, Hubska")
assert results
assert len(results) > 0
@retry
def test_geocode_override_sensor():
results = geocoding.geocode(u"Wrocław, Hubska", sensor=True)
assert results
assert len(results) > 0
@retry
def test_geocode_components_filters():
"""Test if querying with same route but different component filtering
returns different locations"""
# both these cities has this street
results1 = geocoding.geocode(u"Łubinowa",
components={"locality": "Wrocław"})
from gmaps import Geocoding
from gmaps import Directions
import gmaps
import pprint
import re
direct = Directions()
geo = Geocoding()
TAG_RE = re.compile(r'<[^>]+>')
startLoc = '2121 S. El Camino Real, San Mateo CA'
endLoc = '820 E El Camino Real, Mountain View, CA'
DEFAULT = 'Hollingsworth Drive, Mountain View CA'
token = '\n'
def remove_tags(text):
return TAG_RE.sub('', text)
# supported modes include driving, walking, bicycling, transit
def get_directions(start, end, transport="driving"):
try:
direct = Directions()
response = direct.directions(start, end, mode=transport)
except gmaps.errors.GmapException as ex:
response = '1'
except:
response = '2'
return response
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 1 16:58:12 2018
@author: josephuses
"""
#!/usr/bin/env python
import pandas as pd
from gmaps import Geocoding
# Use your own api key by registering at https://console.cloud.google.com/apis/credentials?project=starlit-woods-175707
api = Geocoding(api_key = 'Your api key')
# import the data
data = pd.read_csv("data.csv")
# make a list of the addresses in data['address']
# change the index as desired
# remember that you are only limited to 2500 queries in a day
address = data['address'][:1000].tolist()
# initialize the location list
location = []
# Download the geocodes for each school address
for place in address:
try:
location.append(api.geocode(place))
except Exception as e:
location.append("No Result")
# Initialize the lat (latitude) and long (longitude) lists
lat = []
ALLOWED_TYPES = settings.GMAPS_PLACES_ALLOWED_TYPES
URL_TYPES = settings.GMAPS_PLACES_URL_TYPES
GMAPS_DEFAULT_CLIENT_PARAMS = {
'sensor': False,
'use_https': True,
'api_key': settings.GMAPS_API_KEY,
}
GMAPS_DEFAULT_GEOCODE_PARAMS = {
'language': settings.GMAPS_LANGUAGE_CODE,
# 'region': settings.GMAPS_REGION, TODO
}
GMAPS_DEFAULT_REVERSE_PARAMS = {
'language': settings.GMAPS_LANGUAGE_CODE,
}
gmaps_api = Geocoding(**GMAPS_DEFAULT_CLIENT_PARAMS)
class gmaps_attempt(object):
def __init__(self, gmaps_call):
self.gmaps_call = gmaps_call
def __call__(self, *args, **kwargs):
attempts = 0
success = False
while success is not True and attempts < 3:
attempts += 1
try:
result = self.gmaps_call(*args, **kwargs)
except (NoResults, RequestDenied, InvalidRequest) as e:
raise e
def __process_extracted_data(results, restaurant, state, extractedDataFile, namesAllowed):
"""
This function processes the extracted data using pandas and stores the location density in a csv file
:param: results - list of dictionary of restaurant location data
:type: list
:param: restaurant - name of the restaurant; eg. Pizza Hut
:type: str
:param: state - name of the state; eg. CA
:type: str
:param: extractedDataFile - path of the file where the extracted data will be stored
:type: str
:param: namesAllowed - names of the restaurant to qualify as valid results; eg. ['Pizza Hut', 'Pizza Hut Express']
:type: list
:returns: None
"""
#assert statements
assert(isinstance(results, list))
assert(isinstance(restaurant, str))
assert(isinstance(state, str))
assert(isinstance(extractedDataFile, str))
assert(isinstance(namesAllowed, list))
df = pd.DataFrame(results)
#remove restaurants with other name than the restaurant's name
df = df[df.Name.isin(namesAllowed)]
#check if the location is within the state
#get cities name in a list
citiesFile = f"{FOLDER}/{state}_cities.txt"
cities = []
f = open(citiesFile, "r")
for line in f.readlines():
cities.append(line.strip().lower())
f.close()
geocodeApi = Geocoding(api_key=API_KEY)
for location in set(df['Location']):
isLocationValid = False
if(not __has_numbers(location) and location.lower() not in cities):
isLocationValid = False
elif(not __has_numbers(location) and location.lower() in cities):
isLocationValid = True
else:
try:
response = geocodeApi.geocode(location + ', ' + state)
for address in response[0]['address_components']:
if(address['types'][0] == 'locality'):
df.replace(location, address['long_name'])
location = address['long_name']
elif(address['types'][0] == 'administrative_area_level_1'):
isStateValid = address['short_name'] == state
elif(address['types'][0] == 'country'):
isCountryValid = address['short_name'] == 'US'
isLocationValid = isStateValid and isCountryValid
except:
isLocationValid = False
if(not isLocationValid):
df = df[df.Location != location]
#remove duplicate location using dataframes
df.drop_duplicates(subset=None, keep='last', inplace=True)
with open(extractedDataFile, 'a', newline="") as csv_file:
writer = csv.writer(csv_file)
writer.writerow([restaurant, state, str(len(df))])
def test_client_with_key():
geocoding = Geocoding(api_key="invalid_key", use_https=True)
with pytest.raises(errors.RequestDenied) as excinfo:
geocoding.geocode("Some address")
assert "API key is invalid" in str(excinfo)