def test_copy_fusion_segment(self, accesskey, url, tmp_path):
gas_client = GAS(access_key=accesskey, url=url)
dataset_name = get_dataset_name()
gas_client.create_dataset(dataset_name, is_fusion=True)
dataset = FusionDataset(name=dataset_name)
segment = dataset.create_segment("Segment1")
segment.sensors.add(Sensor.loads(LIDAR_DATA))
dataset._catalog = Catalog.loads(CATALOG)
path = tmp_path / "sub"
path.mkdir()
for i in range(10):
frame = Frame()
local_path = path / f"hello{i}.txt"
local_path.write_text("CONTENT")
data = Data(local_path=str(local_path))
data.label = Label.loads(LABEL)
frame[LIDAR_DATA["name"]] = data
segment.append(frame)
dataset_client = gas_client.upload_dataset(dataset)
segment_client = dataset_client.copy_segment("Segment1", "Segment2")
assert segment_client.name == "Segment2"
with pytest.raises(InvalidParamsError):
dataset_client.copy_segment("Segment1", "Segment3", strategy="push")
segment2 = FusionSegment("Segment2", client=dataset_client)
assert segment2[0][LIDAR_DATA["name"]].path == "hello0.txt"
assert (
segment2[0][LIDAR_DATA["name"]].path
== segment[0][LIDAR_DATA["name"]].target_remote_path
)
assert segment2[0][LIDAR_DATA["name"]].label
gas_client.delete_dataset(dataset_name)
def init_dataset_client(accesskey, url, tmp_path_factory):
gas_client = GAS(access_key=accesskey, url=url)
dataset_name = get_dataset_name()
gas_client.create_dataset(dataset_name, is_fusion=True)
dataset = FusionDataset(name=dataset_name)
dataset._catalog = Catalog.loads(CATALOG)
path = tmp_path_factory.mktemp("sub")
os.makedirs(path, exist_ok=True)
for segment_name in SEGMENTS_NAME:
segment = dataset.create_segment(segment_name)
frame = Frame()
for camera_name, label in LABEL.items():
camera = Camera(camera_name)
translation = Vector3D(1, 2, 3)
camera.set_extrinsics(translation=translation)
camera.set_extrinsics(translation=translation)
camera.set_camera_matrix(fx=1.1, fy=1.1, cx=1.1, cy=1.1)
camera.set_distortion_coefficients(p1=1.2, p2=1.2, k1=1.2, k2=1.2)
segment.sensors.add(camera)
local_path = path / f"{segment_name}_{camera_name}.txt"
local_path.write_text(f"CONTENT_{segment_name}_{camera_name}")
data = Data(local_path=str(local_path))
data.label = Label.loads(label)
frame[camera_name] = data
segment.append(frame)
dataset_client = gas_client.upload_dataset(dataset)
dataset_client.commit("commit-1")
yield dataset_client
gas_client.delete_dataset(dataset_name)
def test_upload_fusion_dataset_after_commit(self, accesskey, url, tmp_path):
gas_client = GAS(access_key=accesskey, url=url)
dataset_name = get_dataset_name()
gas_client.create_dataset(dataset_name, is_fusion=True)
dataset = FusionDataset(name=dataset_name)
dataset._catalog = Catalog.loads(CATALOG)
dataset.notes.is_continuous = True
segment = dataset.create_segment("Segment1")
segment.sensors = Sensors.loads([LIDAR_DATA])
path = tmp_path / "sub"
path.mkdir()
for i in range(10):
remote_frame = Frame()
local_path = path / f"hello{i}.txt"
local_path.write_text("CONTENT")
data = Data(local_path=str(local_path))
data.label = Label.loads(LABEL)
remote_frame[LIDAR_NAME] = data
segment.append(remote_frame)
dataset_client = gas_client.upload_dataset(dataset)
dataset_client.commit("test")
dataset_remote = FusionDataset(name=dataset_name, gas=gas_client)
assert dataset_remote.notes.is_continuous == dataset.notes.is_continuous
assert dataset_remote.catalog == dataset.catalog
segment_remote = dataset_remote[0]
assert len(segment_remote) == len(segment)
assert segment_remote.sensors == segment.sensors
for remote_frame, frame in zip(segment_remote, segment):
assert remote_frame[LIDAR_NAME].path == frame[LIDAR_NAME].target_remote_path
assert remote_frame[LIDAR_DATA["name"]].label == frame[LIDAR_NAME].label
gas_client.delete_dataset(dataset_name)