#finalRoute.append(createRoute(mainPath, mainPath, aclocations)) Print('The point after this is: ' + str(mainPath)) Print('The point before this is: ' + str(mainPath)) Print('We have reached to point' + str(point)) If checkIfSafe(point, aclocations) = True: Googlemaps.Client(key='AIzaSyDAszXFz4LjQQ6Itr4o7O90RUJhUhhnXXI')ĭirectionsObject = client.directions(origin=startpoint, # Get directions from the donut shop to the ClickTime office.ĬLICKTIME_LOCATION, mode=transportation_mode)ĭirections.append('Arrived at ClickTime!')ĭef createRoute(startpoint, endpoint, aclocations): # Had issues with waypoints so I broke the route intoĭirections_api_result = google_maps.directions(įor step in directions_api_result:ĭirections.append(step) # Get directions from current location to donut shop. Query_result = google_places.nearby_search(ĭonut_shop_name = query_ĭonut_shop_location = query_location # Get the coordinates of the nearest donut shop to the ClickTime office. Google_places = GooglePlaces(GOOGLE_API_KEY) Stopping for donuts and coffee along the way.'''

Get from their current location to the ClickTime office while '''Return a list of directions that the user should take to Tab = tabulate(display, headers = tabs, tablefmt = 'simple') Total_distance += round( float(gmap.replace( ' mi', '')), 2 ) # print directionsįor count, gmap in enumerate(list_of_maps): List_of_maps =, pitstop ) for pitstop in ip ] # See if we should use waypoint optimixzing? directions() funciton on Client, save in a list Return createRoute(client, sp, ep, newpath, wp, aclocations) Newpath, wp = choose_best_path(pathlist,dangerpoint,waypointslist) Pathlist.append(decode(directionsObject)) Waypoints_inner = waypoints + ĭirectionsObject = client.directions(origin=sp, destination=ep, mode='walking', waypoints=waypoints_inner, alternatives = True) #print('WE ARE CURRENTLY ENTERING CREATEROUTEWWAYP')Īdj_point = getdistfm(dangerpoint,dangerpoint,k,dir) Return 'Voltea hacia el %s, camina desde %s hacia %s '%(k,k,k)ĭef createRoutewithwaypoints(client, dangerpoint, waypoints, aclocations, sp, ep): Return 'Continua hasta %s y abordas la ruta %s en la %s '%(k, route, stop) Return json.loads(requests.get(nearbyS).text)ĭef getKeyWords(self,string,start='',end=''):įor i in (lambda x:(i for i in xrange(0,x.count(start))))(string):ĭef getRouteLine(self,line,route=None, stop=None): NearbyS='$MAPS_API?key=%s&location=%s&rankby=distance'%(self.key,latLngAsString) R=(text,language='ES-MX')ĭef getReferenceOnLocation(self,latLngAsString):

Return pd.DataFrame(ParcoursEtapes, columns=('lat', 'lng', 'distance', 'duration', 'vit.moy') )ĭef getDirections(self,origin,destination,mode='walking'): Pd.DataFrame(ParcoursEtapes, columns=('lat', 'lng', 'distance', 'duration', 'vit.moy')).to_csv('generationParcours.csv', sep=' ', encoding='utf-8') ParcoursEtape.append(etape) # en secondes Vitmoykmh = float(3.6*vitmoyms) # kilomètre par heure Vitmoyms = float(etape / etape) # metres par seconde #print numetape, etape, etape, etape, etape, etape, etape Parcours = googlemap.directions((latitudeDepart, longitudeDepart), (latitudeArrivee, longitudeArrivee), mode=routemode, alternatives=routealternatives, language=routelanguage) Routemode='driving' routealternatives=False routelanguage='Fr' Pour chaque liste, 1er élément = latitude, 2e = longitude, 3e = vitesse max #Output panda dataframe: #1: lng | #2: lat | #3: distance | #4: duration | #5: vitesse moyenne Def generationParcours(longitudeDepart, latitudeDepart, longitudeArrivee, latitudeArrivee, api_key, blnSavetoCSV):

Clicktime office 365