import unittest from cartodb_services.mapzen import MapzenIsolines from math import radians, cos, sin, asin, sqrt """ This file is basically a sanity test on the algorithm. It uses a mocked client, which returns the cost based on a very simple model: just proportional to the distance from origin to the target point. """ class MatrixClientMock(): def __init__(self, speed): """ Sets up the mock with a speed in km/h """ self._speed = speed def one_to_many(self, locations, costing): origin = locations[0] distances = [self._distance(origin, l) for l in locations] response = { 'one_to_many': [ [ { 'distance': distances[i] * self._speed, 'time': distances[i] / self._speed * 3600, 'to_index': i, 'from_index': 0 } for i in xrange(0, len(distances)) ] ], 'units': 'km', 'locations': [ locations ] } return response def _distance(self, a, b): """ Calculate the great circle distance between two points on the earth (specified in decimal degrees) http://stackoverflow.com/questions/4913349/haversine-formula-in-python-bearing-and-distance-between-two-gps-points Returns: distance in meters """ # convert decimal degrees to radians lon1, lat1, lon2, lat2 = map(radians, [a['lon'], a['lat'], b['lon'], b['lat']]) # haversine formula dlon = lon2 - lon1 dlat = lat2 - lat1 a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2 c = 2 * asin(sqrt(a)) r = 6371 # Radius of earth in kilometers. Use 3956 for miles return c * r class MapzenIsolinesTestCase(unittest.TestCase): def setUp(self): speed = 6 # in km/h matrix_client = MatrixClientMock(speed) self.mapzen_isolines = MapzenIsolines(matrix_client) def test_calculate_isochrone(self): origin = {"lat":40.744014,"lon":-73.990508} transport_mode = 'walk' isorange = 10 * 60 # 10 minutes solution = self.mapzen_isolines.calculate_isochrone(origin, transport_mode, isorange)