def __init__(self):
self.modes = {'walk':[herepy.RouteMode.pedestrian,herepy.RouteMode.shortest],'bus':[herepy.RouteMode.publicTransport,herepy.RouteMode.fastest],'car':[herepy.RouteMode.car,herepy.RouteMode.fastest,herepy.RouteMode.traffic_enabled]}
self.api_key = self.getconfig("maps_api")#"NuWLrM7oE23-PKjQWHD79izu0aFFvYdEu7wZV0SanSE"
self.max_radius = self.getconfig("maxradius")*1000 #Enter in KM
self.geocoderApi = herepy.GeocoderApi(self.api_key)
self.geocoderAutoCompleteApi = herepy.GeocoderAutoCompleteApi(self.api_key)
self.routingApi = herepy.RoutingApi(self.api_key)
self.geocoderReverseApi = herepy.GeocoderReverseApi(self.api_key)
self.placesApi = herepy.PlacesApi(self.api_key)
self.current_coordinates = [0,0]
self.loadconfig()
def places_init(filename):
'''
Initialize Here.com Places API with credentials from yaml file
:param filename: string for file containing credentials in yaml format
:return:
'''
with open(filename, 'r') as f:
credentials = yaml.safe_load(f)
f.close()
app_id = credentials['app_id']
app_code = credentials['app_code']
return(herepy.PlacesApi(app_id, app_code))
def get_here_restaurants(latitude, longitude):
placesApi = herepy.PlacesApi('api_key')
listofRestaurantsnearby = []
api_key = '#use_key_from_bitwarden.com_or_generate_new_key'
#&radius=500&sort=real_distance&order=asc&start=0
getRestaurantsFromLatAndLon = 'https://reverse.geocoder.ls.hereapi.com/6.2/reversegeocode.json?mode=retrieveLandmarks&gen=9&prox=' + latitude + ',' + longitude + ',500&maxresults=20&apiKey=' + api_key
header = {"User-agent": "curl/7.43.0", "Accept": "application/json"}
response = requests.get(getRestaurantsFromLatAndLon, headers=header)
restaurant_info = response.json()["Response"]
for key, value in restaurant_info.items():
if (key == 'View'):
for item in restaurant_info[key][0]["Result"]:
listofRestaurantsnearby.append(item["Location"]["Name"])
listofRestaurantsnearbyjson = {
"nearby": [x for x in listofRestaurantsnearby]
}
return jsonify(listofRestaurantsnearbyjson)
def nearbyPlaces_dataset(fpathNearby, column_name):
try:
excel = pd.read_excel(fpathNearby)
except:
try:
excel = pd.read_csv(fpathNearby)
except:
"Input File Read Error!! Please check Format."
for t in range(len(excel)):
location= excel.loc[t, column_name]
placesApi = herepy.PlacesApi(appID, appCode)
lat, lng = map(float, location.strip('()').split(','))
nearbyResponse = placesApi.places_with_language([lat, lng], 'ar')
# try:
data = nearbyResponse.as_dict()
for i in range(0, (len(data['results']['items']))):
title = 'title' + str(i)
distance = 'distance' + str(i)
position = 'position' + str(i)
category = 'category' + str(i)
excel.loc[t,title] = str(data['results']['items'][i]['title'])
excel.loc[t, distance] =str(data['results']['items'][i]['distance'])
excel.loc[t, position] = str(data['results']['items'][i]['position'])
excel.loc[t, category] = str(data['results']['items'][i]['category']['title'])
time.sleep(0.1)
return excel
import numpy as np
import pandas as pd
import time
import herepy
from pandasql import sqldf
credentials = np.load(r"C:\Skyhook\HERE\HERE_API_credentials.npy")
# apiID = 'vQUXblWlsSzsBSJNRDax'
# apiCode = 'f4f3xSQqZX5l3m6ur86jAQ'
appID = credentials[1]
appCode = credentials[2]
placesApi = herepy.PlacesApi(appID, appCode)
lat, lng = map(float, location.strip('()').split(','))
nearbyResponse = placesApi.nearby_places([lat, lng])
try:
data = nearbyResponse.as_dict()
print(data)
def setUp(self):
api = herepy.PlacesApi('app_id', 'app_code')
self._api = api
def setUp(self):
api = herepy.PlacesApi('api_key')
self._api = api
def setUp(self):
api = herepy.PlacesApi("api_key")
self._api = api
def makeWebhookResult(req):
if req.get("queryResult").get("action") == "symptom":
result = req.get("queryResult")
parameters = result.get("parameters")
symptom = parameters.get("symptom")
disease = diseaseprediction.dosomething(symptom)
print(disease)
#speech = "you may have " + disease + ". Please, consult your doctor."
#print(speech)
if not disease:
speech = "For further details Please click on the below link"
disease = symptom[0]
else:
speech = "you may have " + disease + ". Please, consult your doctor."
return {
"fulfillmentText":
speech,
"fulfillmentMessages": [{
"platform": "ACTIONS_ON_GOOGLE",
"simpleResponses": {
"simpleResponses": [{
"textToSpeech": speech
}]
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"linkOutSuggestion": {
"destinationName":
"Details of disease",
"uri":
"https://www.webmd.com/search/search_results/default.aspx?query="
+ disease
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [{
"title": "Predict disease"
}, {
"title": "Details about disease"
}, {
"title": "Know nearby hospitals"
}, {
"title": "Thank you"
}]
}
}]
}
if req.get("queryResult").get(
"action") == "Detailsaboutsymptoms.Detailsaboutsymptoms-custom":
result = req.get("queryResult")
parameters = result.get("parameters")
symptom = parameters.get("disease")
speech = "For further details Please click on the below link"
disease = symptom
return {
"fulfillmentText":
speech,
"fulfillmentMessages": [{
"platform": "ACTIONS_ON_GOOGLE",
"simpleResponses": {
"simpleResponses": [{
"textToSpeech": speech
}]
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"linkOutSuggestion": {
"destinationName":
"Details of disease",
"uri":
"https://www.webmd.com/search/search_results/default.aspx?query="
+ disease
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [{
"title": "Predict disease"
}, {
"title": "Details about disease"
}, {
"title": "Know nearby hospitals"
}, {
"title": "Thank you"
}]
}
}]
}
if req.get("queryResult").get("action") == "google":
result = req.get("queryResult")
parameters = result.get("parameters")
location = parameters.get("geo-city")
hospital_name = []
hospital_address = []
speech = ""
geocoderApi = herepy.GeocoderApi(
'NYzvNeZQL5quJfEWEUccVGR-nXIIVt3PeFj1X11dWkw')
placesApi = herepy.PlacesApi(
'NYzvNeZQL5quJfEWEUccVGR-nXIIVt3PeFj1X11dWkw')
response = geocoderApi.free_form(location)
dict = response.as_dict()
print(dict)
position = dict['items'][0]['position']
latitude = position['lat']
longitude = position['lng']
response = placesApi.category_places_at(
[latitude, longitude],
[herepy.PlacesCategory.hospital_health_care_facility])
dict = response.as_dict()
for i in range(0, 10):
#print(places_result["results"])
hospitalname = dict["results"]["items"][i]["title"]
hospital_name.append(hospitalname)
hospitaladdress = dict["results"]["items"][i]["vicinity"]
hospital_address.append(hospitaladdress)
for i in range(0, len(hospital_name)):
speech += "<br/><br/>Hospital name: " + hospital_name[
i] + "<br/>Hospital Address: " + hospital_address[i]
return {
"fulfillmentText":
speech,
"fulfillmentMessages": [{
"platform": "ACTIONS_ON_GOOGLE",
"simpleResponses": {
"simpleResponses": [{
"textToSpeech": speech
}]
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [{
"title": "Predict disease"
}, {
"title": "Details about disease"
}, {
"title": "Know nearby hospitals"
}, {
"title": "Thank you"
}]
}
}]
}
def __init__(self):
self.__places_api = herepy.PlacesApi(HERE_APP_ID, HERE_APP_CODE)
</li>
</ul>
<p>
<button type="button" onclick="alert('You submitted!')">Submit!</button>
</p>"""
m = folium.Map(location=[45.372, -121.6972], zoom_start=12, tiles='Stamen Terrain')
app_id = 'kj5O3uIQcg0mzyy6Dyeb'
app_code = 'UYxM0q2BZXVoHqthopku6A'
geocoderApi = herepy.GeocoderApi(app_id, app_code)
placesApi = herepy.PlacesApi(app_id, app_code)
# response = placesApi.onebox_search([-25.2744,133.7751], 'pool')
m = folium.Map(location=[-25.2744,133.7751],
zoom_start=4,
tiles='Stamen Terrain')
def generate_layer(search_text,coords,colour):
response = placesApi.onebox_search(coords, search_text)
df = json_normalize(response.results,'items')
layer = folium.FeatureGroup(name=search_text)
for index,row in df.iterrows():