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]])