RoutingApi,
RouteMode,
MatrixRoutingType,
MatrixSummaryAttribute,
RoutingTransportMode,
RoutingMode,
RoutingApiReturnField,
RoutingMetric,
RoutingApiSpanField,
)
routing_api = RoutingApi(api_key="api_key")
# fetches a bicycle route between two points
response = routing_api.bicycle_route(
waypoint_a=[41.9798, -87.8801], waypoint_b=[41.9043, -87.9216]
)
print(response.as_dict())
# fetches a driving route between two points
response = routing_api.car_route(
waypoint_a=[11.0, 12.0],
waypoint_b=[22.0, 23.0],
modes=[RouteMode.car, RouteMode.fastest],
)
print(response.as_dict())
# fetches a pedastrian route between two points
response = routing_api.pedastrian_route(
waypoint_a=[11.0, 12.0],
waypoint_b=[22.0, 23.0],
connection = connect_to_db("localhost", "5432", "SMA", "postgres", "password")
# using RoutingAPI
routing_api = RoutingApi(api_key=" ")
# a while loop to bring coordinats from a specified number of rows at a time
# and send it to the Api and insert the reponses in the table
while (counter < id_final):
# Convert to data_table the result Lists from the function select_row
data_table = select_row(connection, id_min, id_max)
id_min += 1000
id_max += 1000
if (id_max > id_final):
id_max = id_final
for row in data_table:
cur = connection.cursor()
# fetches a bicycle route between two points
response = routing_api.bicycle_route(waypoint_a=[row[1], row[2]],
waypoint_b=[row[3], row[4]])
response = response.as_dict()
distance_bic = response['response']['route'][0]['summary']['distance']
time_bic = response['response']['route'][0]['summary']['baseTime']
# print("bicycle",distance_bic)
# print("bicycle",time_bic)
# fetches a driving route between two points
response = routing_api.car_route(
waypoint_a=[row[1], row[2]],
waypoint_b=[row[3], row[4]],
modes=[RouteMode.car, RouteMode.fastest],
)
response = response.as_dict()
distance_car = response['response']['route'][0]['summary']['distance']
time_car = response['response']['route'][0]['summary']['baseTime']
