def test_find_endpoints_procedural(): folder = tempfile.mkdtemp() s3 = S3('driverpete-storage') filename = s3.download("_testing/testing_merged_1", folder) data = filter_gps_data(read_compressed_trajectory(filename)) endpoints_indices_batch = find_endpoints_batch(data) assert(len(endpoints_indices_batch) == 2) print(endpoints_indices_batch) assert(endpoints_indices_batch == [479, 670]) endpoints = find_endpoints(data) assert(len(endpoints) == 2) assert((data[endpoints_indices_batch[0]] == endpoints[0]).all()) assert((data[endpoints_indices_batch[1]] == endpoints[1]).all())
def process_gps_data(filename): #stationary_distance_threshold=120 # clean up data data = read_compressed_trajectory(filename) print("Length of data: %d" % len(data)) data = filter_gps_data(data) print("Length of filtered data: %d" % len(data)) endpoints = find_endpoints(data) print("Found %d endpoints:" % len(endpoints)) for u in endpoints: print(trajectory_point_to_str([u], 0)) assert(len(endpoints) == 2) AtoB_paths_data, BtoA_paths_data = find_routes(data, endpoints, verbose=False) def _extract_indices(data, paths): result = [] for p in paths: indices = [(data[:, 0] == p[0, 0]).nonzero()[0][0], (data[:, 0] == p[p.shape[0]-1, 0]).nonzero()[0][0]] result.append(indices) return result AtoB_paths_indices = _extract_indices(data, AtoB_paths_data) BtoA_paths_indices = _extract_indices(data, BtoA_paths_data) print(AtoB_paths_indices) print(BtoA_paths_indices) AtoB_paths = [Path(d) for d in AtoB_paths_data] BtoA_paths = [Path(d) for d in BtoA_paths_data] AtoB_paths = sorted(AtoB_paths, key=lambda x: x.get_duration()) BtoA_paths = sorted(BtoA_paths, key=lambda x: x.get_duration()) print("ATOB") for p in AtoB_paths: print(p.get_duration()/60, str(p.start_time())) p.show(str(p.get_duration()/60)) print("BTOA") for p in BtoA_paths: print(p.get_duration()/60, str(p.start_time())) p.show(str(p.get_duration()/60))
def test_finding_paths(): folder = tempfile.mkdtemp() s3 = S3('driverpete-storage') filename = s3.download("_testing/testing_merged_1", folder) data = filter_gps_data(read_compressed_trajectory(filename)) endpoints = find_endpoints(data) assert(len(endpoints) == 2) print(trajectory_point_to_str(data, _get_point_index(data, endpoints[0]))) print(trajectory_point_to_str(data, _get_point_index(data, endpoints[1]))) assert(_get_point_index(data, endpoints[0]) == 479) assert(_get_point_index(data, endpoints[1]) == 670) AtoB_paths, BtoA_paths = find_routes(data, endpoints, verbose=False) AtoB_paths_indices = _extract_indices(data, AtoB_paths) BtoA_paths_indices = _extract_indices(data, BtoA_paths) print(AtoB_paths_indices) print(BtoA_paths_indices) assert(AtoB_paths_indices == [[488, 656], [947, 1117], [1364, 1549], [2216, 2401], [2630, 2898], [4400, 4526]]) assert(BtoA_paths_indices == [[134, 455], [683, 887], [1141, 1316], [1582, 1783], [2429, 2597], [3975, 4170]])