def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db),
virtual_devices={"scheduler": DummyScheduler()})
dataset_db = DatasetDB(args.dataset_db)
dataset_mgr = DatasetManager(dataset_db)
try:
exp_inst = _build_experiment(device_mgr, dataset_mgr, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
except CompileError as error:
return
except Exception as exn:
if hasattr(exn, "artiq_core_exception"):
print(exn.artiq_core_exception, file=sys.stderr)
raise exn
finally:
device_mgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
dataset_mgr.write_hdf5(f)
else:
for k, v in sorted(dataset_mgr.local.items(), key=itemgetter(0)):
print("{}: {}".format(k, v))
dataset_db.save()
def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db),
virtual_devices={"scheduler": DummyScheduler()})
dataset_db = DatasetDB(args.dataset_db)
dataset_mgr = DatasetManager(dataset_db)
try:
exp_inst = _build_experiment(device_mgr, dataset_mgr, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
except CompileError as error:
return
except Exception as exn:
if hasattr(exn, "artiq_core_exception"):
print(exn.artiq_core_exception, file=sys.stderr)
raise exn
finally:
device_mgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
dataset_mgr.write_hdf5(f)
else:
for k, v in sorted(dataset_mgr.local.items(), key=itemgetter(0)):
print("{}: {}".format(k, v))
dataset_db.save()
def setUp(self):
# Create an instance of TestExperiment locally in this process and a
# mock dataset db to back it. When used from the master, the worker IPC
# connection would marshal updates between dataset_mgr and dataset_db.
self.dataset_db = MockDatasetDB()
self.dataset_mgr = DatasetManager(self.dataset_db)
self.exp = TestExperiment((None, self.dataset_mgr, None, None))
def setUp(self):
self.device_db = DeviceDB(os.path.join(artiq_root, "device_db.pyon"))
self.dataset_db = DatasetDB(os.path.join(artiq_root,
"dataset_db.pyon"))
self.device_mgr = DeviceManager(
self.device_db, virtual_devices={"scheduler": DummyScheduler()})
self.dataset_mgr = DatasetManager(self.dataset_db)
def setUp(self):
self.dataset_db = MockDatasetDB()
self.dataset_mgr = DatasetManager(self.dataset_db)
self.device_db = MockDeviceDB()
self.ccb = unittest.mock.Mock()
self.core = unittest.mock.Mock()
self.scheduler = MockScheduler()
self.device_mgr = DeviceManager(self.device_db,
virtual_devices={
"ccb": self.ccb,
"core": self.core,
"scheduler": self.scheduler
})
def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db),
virtual_devices={"scheduler": DummyScheduler()})
dataset_db = DatasetDB(args.dataset_db)
dataset_mgr = DatasetManager(dataset_db)
try:
exp_inst = _build_experiment(device_mgr, dataset_mgr, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
finally:
device_mgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
dataset_mgr.write_hdf5(f)
else:
for k, v in sorted(dataset_mgr.local.items(), key=itemgetter(0)):
print("{}: {}".format(k, v))
dataset_db.save()
def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db),
virtual_devices={"scheduler": DummyScheduler()})
dataset_db = DatasetDB(args.dataset_db)
dataset_mgr = DatasetManager(dataset_db)
try:
exp_inst = _build_experiment(device_mgr, dataset_mgr, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
finally:
device_mgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
dataset_mgr.write_hdf5(f)
else:
for k, v in sorted(dataset_mgr.local.items(), key=itemgetter(0)):
print("{}: {}".format(k, v))
dataset_db.save()
def main():
args = get_argparser().parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db))
dataset_mgr = DatasetManager(DatasetDB(args.dataset_db))
try:
module = file_import(args.file, prefix="artiq_run_")
exp = get_experiment(module, args.experiment)
arguments = parse_arguments(args.arguments)
argument_mgr = ProcessArgumentManager(arguments)
exp_inst = exp((device_mgr, dataset_mgr, argument_mgr))
if not hasattr(exp.run, "artiq_embedded"):
raise ValueError("Experiment entry point must be a kernel")
core_name = exp.run.artiq_embedded.core_name
core = getattr(exp_inst, core_name)
object_map, kernel_library, _, _ = \
core.compile(exp.run, [exp_inst], {},
attribute_writeback=False, print_as_rpc=False)
except CompileError as error:
return
finally:
device_mgr.close_devices()
if object_map.has_rpc():
raise ValueError("Experiment must not use RPC")
output = args.output
if output is None:
basename, ext = os.path.splitext(args.file)
output = "{}.elf".format(basename)
with open(output, "wb") as f:
f.write(kernel_library)
def main():
args = get_argparser().parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db))
dataset_mgr = DatasetManager(DatasetDB(args.dataset_db))
try:
module = file_import(args.file)
exp = get_experiment(module, args.experiment)
arguments = parse_arguments(args.arguments)
exp_inst = exp(device_mgr, dataset_mgr, **arguments)
if (not hasattr(exp.run, "k_function_info")
or not exp.run.k_function_info):
raise ValueError("Experiment entry point must be a kernel")
core_name = exp.run.k_function_info.core_name
core = getattr(exp_inst, core_name)
binary, rpc_map, _ = core.compile(exp.run.k_function_info.k_function,
[exp_inst], {},
with_attr_writeback=False)
finally:
device_mgr.close_devices()
if rpc_map:
raise ValueError("Experiment must not use RPC")
output = args.output
if output is None:
output = args.file
if output.endswith(".py"):
output = output[:-3]
output += ".elf"
with open(output, "wb") as f:
f.write(binary)
def main():
sys.stdout = LogForwarder()
sys.stderr = LogForwarder()
logging.basicConfig(level=int(sys.argv[1]))
start_time = None
rid = None
expid = None
exp = None
exp_inst = None
device_mgr = DeviceManager(ParentDeviceDB,
virtual_devices={"scheduler": Scheduler()})
dataset_mgr = DatasetManager(ParentDatasetDB)
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.localtime()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
expf = os.path.join(obj["wd"], expid["file"])
else:
expf = expid["file"]
exp = get_exp(expf, expid["class_name"])
device_mgr.virtual_devices["scheduler"].set_run_info(
obj["pipeline_name"], expid, obj["priority"])
exp_inst = exp(device_mgr, dataset_mgr, **expid["arguments"])
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
exp_inst.analyze()
put_object({"action": "completed"})
elif action == "write_results":
f = get_hdf5_output(start_time, rid, exp.__name__)
try:
dataset_mgr.write_hdf5(f)
if "repo_rev" in expid:
rr = expid["repo_rev"]
dtype = "S{}".format(len(rr))
dataset = f.create_dataset("repo_rev", (), dtype)
dataset[()] = rr.encode()
finally:
f.close()
put_object({"action": "completed"})
elif action == "examine":
examine(ExamineDeviceMgr(), DummyDatasetMgr(), obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
except:
logging.error("Worker terminating with exception", exc_info=True)
finally:
device_mgr.close_devices()
def main():
global ipc
multiline_log_config(level=int(sys.argv[2]))
ipc = pipe_ipc.ChildComm(sys.argv[1])
start_time = None
rid = None
expid = None
exp = None
exp_inst = None
repository_path = None
device_mgr = DeviceManager(ParentDeviceDB,
virtual_devices={"scheduler": Scheduler()})
dataset_mgr = DatasetManager(ParentDatasetDB)
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.localtime()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
experiment_file = os.path.join(obj["wd"], expid["file"])
repository_path = obj["wd"]
else:
experiment_file = expid["file"]
repository_path = None
setup_diagnostics(experiment_file, repository_path)
exp = get_exp(experiment_file, expid["class_name"])
device_mgr.virtual_devices["scheduler"].set_run_info(
rid, obj["pipeline_name"], expid, obj["priority"])
exp_inst = exp(
device_mgr, dataset_mgr, enable_processors=True,
**expid["arguments"])
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
exp_inst.analyze()
put_object({"action": "completed"})
elif action == "write_results":
f = get_hdf5_output(start_time, rid, exp.__name__)
try:
dataset_mgr.write_hdf5(f)
string_to_hdf5(f, "artiq_version", artiq_version)
if "repo_rev" in expid:
string_to_hdf5(f, "repo_rev", expid["repo_rev"])
finally:
f.close()
put_object({"action": "completed"})
elif action == "examine":
examine(ExamineDeviceMgr, DummyDatasetMgr, obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
except Exception as exc:
# When we get CompileError, a more suitable diagnostic has already
# been printed.
if not isinstance(exc, CompileError):
short_exc_info = type(exc).__name__
exc_str = str(exc)
if exc_str:
short_exc_info += ": " + exc_str
lines = ["Terminating with exception ("+short_exc_info+")\n"]
lines += traceback.format_exception_only(type(exc), exc)
if hasattr(exc, "parent_traceback"):
lines += exc.parent_traceback
logging.error("".join(lines).rstrip(),
exc_info=not hasattr(exc, "parent_traceback"))
put_object({"action": "exception"})
finally:
device_mgr.close_devices()
ipc.close()
def main():
global ipc
multiline_log_config(level=int(sys.argv[2]))
ipc = pipe_ipc.ChildComm(sys.argv[1])
start_time = None
run_time = None
rid = None
expid = None
exp = None
exp_inst = None
repository_path = None
device_mgr = DeviceManager(ParentDeviceDB,
virtual_devices={
"scheduler": Scheduler(),
"ccb": CCB()
})
dataset_mgr = DatasetManager(ParentDatasetDB)
import_cache.install_hook()
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.time()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
experiment_file = os.path.join(obj["wd"], expid["file"])
repository_path = obj["wd"]
else:
experiment_file = expid["file"]
repository_path = None
setup_diagnostics(experiment_file, repository_path)
exp = get_exp(experiment_file, expid["class_name"])
device_mgr.virtual_devices["scheduler"].set_run_info(
rid, obj["pipeline_name"], expid, obj["priority"])
start_local_time = time.localtime(start_time)
dirname = os.path.join(
"results", time.strftime("%Y-%m-%d", start_local_time),
time.strftime("%H", start_local_time))
os.makedirs(dirname, exist_ok=True)
os.chdir(dirname)
argument_mgr = ProcessArgumentManager(expid["arguments"])
exp_inst = exp((device_mgr, dataset_mgr, argument_mgr, {}))
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
run_time = time.time()
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
try:
exp_inst.analyze()
except:
# make analyze failure non-fatal, as we may still want to
# write results afterwards
put_exception_report()
else:
put_object({"action": "completed"})
elif action == "write_results":
filename = "{:09}-{}.h5".format(rid, exp.__name__)
with h5py.File(filename, "w") as f:
dataset_mgr.write_hdf5(f)
f["artiq_version"] = artiq_version
f["rid"] = rid
f["start_time"] = start_time
f["run_time"] = run_time
f["expid"] = pyon.encode(expid)
put_object({"action": "completed"})
elif action == "examine":
examine(ExamineDeviceMgr, ExamineDatasetMgr, obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
except:
put_exception_report()
finally:
device_mgr.close_devices()
ipc.close()
def main():
sys.stdout = LogForwarder()
sys.stderr = LogForwarder()
logging.basicConfig(level=int(sys.argv[1]))
start_time = None
rid = None
expid = None
exp = None
exp_inst = None
device_mgr = DeviceManager(ParentDeviceDB,
virtual_devices={"scheduler": Scheduler()})
dataset_mgr = DatasetManager(ParentDatasetDB)
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.localtime()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
expf = os.path.join(obj["wd"], expid["file"])
else:
expf = expid["file"]
exp = get_exp(expf, expid["class_name"])
device_mgr.virtual_devices["scheduler"].set_run_info(
obj["pipeline_name"], expid, obj["priority"])
exp_inst = exp(device_mgr, dataset_mgr,
**expid["arguments"])
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
exp_inst.analyze()
put_object({"action": "completed"})
elif action == "write_results":
f = get_hdf5_output(start_time, rid, exp.__name__)
try:
dataset_mgr.write_hdf5(f)
if "repo_rev" in expid:
rr = expid["repo_rev"]
dtype = "S{}".format(len(rr))
dataset = f.create_dataset("repo_rev", (), dtype)
dataset[()] = rr.encode()
finally:
f.close()
put_object({"action": "completed"})
elif action == "examine":
examine(ExamineDeviceMgr(), DummyDatasetMgr(), obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
except:
logging.error("Worker terminating with exception", exc_info=True)
finally:
device_mgr.close_devices()
def main():
global ipc
multiline_log_config(level=int(sys.argv[2]))
ipc = pipe_ipc.ChildComm(sys.argv[1])
start_time = None
run_time = None
rid = None
expid = None
exp = None
exp_inst = None
repository_path = None
device_mgr = DeviceManager(ParentDeviceDB,
virtual_devices={"scheduler": Scheduler(),
"ccb": CCB()})
dataset_mgr = DatasetManager(ParentDatasetDB)
import_cache.install_hook()
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.time()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
experiment_file = os.path.join(obj["wd"], expid["file"])
repository_path = obj["wd"]
else:
experiment_file = expid["file"]
repository_path = None
setup_diagnostics(experiment_file, repository_path)
exp = get_exp(experiment_file, expid["class_name"])
device_mgr.virtual_devices["scheduler"].set_run_info(
rid, obj["pipeline_name"], expid, obj["priority"])
start_local_time = time.localtime(start_time)
dirname = os.path.join("results",
time.strftime("%Y-%m-%d", start_local_time),
time.strftime("%H", start_local_time))
os.makedirs(dirname, exist_ok=True)
os.chdir(dirname)
argument_mgr = ProcessArgumentManager(expid["arguments"])
exp_inst = exp((device_mgr, dataset_mgr, argument_mgr))
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
run_time = time.time()
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
try:
exp_inst.analyze()
except:
# make analyze failure non-fatal, as we may still want to
# write results afterwards
put_exception_report()
else:
put_object({"action": "completed"})
elif action == "write_results":
filename = "{:09}-{}.h5".format(rid, exp.__name__)
with h5py.File(filename, "w") as f:
dataset_mgr.write_hdf5(f)
f["artiq_version"] = artiq_version
f["rid"] = rid
f["start_time"] = start_time
f["run_time"] = run_time
f["expid"] = pyon.encode(expid)
put_object({"action": "completed"})
elif action == "examine":
examine(ExamineDeviceMgr, ExamineDatasetMgr, obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
except:
put_exception_report()
finally:
device_mgr.close_devices()
ipc.close()
def main():
global ipc
multiline_log_config(level=int(sys.argv[2]))
ipc = pipe_ipc.ChildComm(sys.argv[1])
start_time = None
rid = None
expid = None
exp = None
exp_inst = None
repository_path = None
device_mgr = DeviceManager(ParentDeviceDB)
device_mgr.virtual_devices["scheduler"] = Scheduler(device_mgr)
dataset_mgr = DatasetManager(ParentDatasetDB)
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.localtime()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
experiment_file = os.path.join(obj["wd"], expid["file"])
repository_path = obj["wd"]
else:
experiment_file = expid["file"]
repository_path = None
setup_diagnostics(experiment_file, repository_path)
exp = get_exp(experiment_file, expid["class_name"])
device_mgr.virtual_devices["scheduler"].set_run_info(
rid, obj["pipeline_name"], expid, obj["priority"])
dirname = os.path.join("results",
time.strftime("%Y-%m-%d", start_time),
time.strftime("%H", start_time))
os.makedirs(dirname, exist_ok=True)
os.chdir(dirname)
argument_mgr = ProcessArgumentManager(expid["arguments"])
exp_inst = exp((device_mgr, dataset_mgr, argument_mgr))
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
exp_inst.analyze()
put_object({"action": "completed"})
elif action == "write_results":
filename = "{:09}-{}.h5".format(rid, exp.__name__)
with h5py.File(filename, "w") as f:
dataset_mgr.write_hdf5(f.create_group("datasets"))
f["artiq_version"] = artiq_version
f["rid"] = rid
f["start_time"] = int(time.mktime(start_time))
f["expid"] = pyon.encode(expid)
put_object({"action": "completed"})
elif action == "examine":
examine(ExamineDeviceMgr, ParentDatasetDB, obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
except Exception as exc:
# When we get CompileError, a more suitable diagnostic has already
# been printed.
if not isinstance(exc, CompileError):
short_exc_info = type(exc).__name__
exc_str = str(exc)
if exc_str:
short_exc_info += ": " + exc_str.splitlines()[0]
lines = ["Terminating with exception (" + short_exc_info + ")\n"]
if hasattr(exc, "artiq_core_exception"):
lines.append(str(exc.artiq_core_exception))
if hasattr(exc, "parent_traceback"):
lines += exc.parent_traceback
lines += traceback.format_exception_only(type(exc), exc)
logging.error("".join(lines).rstrip(),
exc_info=not hasattr(exc, "parent_traceback"))
put_object({"action": "exception"})
finally:
device_mgr.close_devices()
ipc.close()
class ExperimentDatasetCase(unittest.TestCase):
def setUp(self):
# Create an instance of TestExperiment locally in this process and a
# mock dataset db to back it. When used from the master, the worker IPC
# connection would marshal updates between dataset_mgr and dataset_db.
self.dataset_db = MockDatasetDB()
self.dataset_mgr = DatasetManager(self.dataset_db)
self.exp = TestExperiment((None, self.dataset_mgr, None, None))
def test_set_local(self):
with self.assertRaises(KeyError):
self.exp.get(KEY)
for i in range(2):
self.exp.set(KEY, i)
self.assertEqual(self.exp.get(KEY), i)
with self.assertRaises(KeyError):
self.dataset_db.get(KEY)
def test_set_broadcast(self):
with self.assertRaises(KeyError):
self.exp.get(KEY)
self.exp.set(KEY, 0, broadcast=True)
self.assertEqual(self.exp.get(KEY), 0)
self.assertEqual(self.dataset_db.get(KEY), 0)
self.exp.set(KEY, 1, broadcast=False)
self.assertEqual(self.exp.get(KEY), 1)
with self.assertRaises(KeyError):
self.dataset_db.get(KEY)
def test_append_local(self):
self.exp.set(KEY, [])
self.exp.append(KEY, 0)
self.assertEqual(self.exp.get(KEY), [0])
self.exp.append(KEY, 1)
self.assertEqual(self.exp.get(KEY), [0, 1])
def test_append_broadcast(self):
self.exp.set(KEY, [], broadcast=True)
self.exp.append(KEY, 0)
self.assertEqual(self.dataset_db.data[KEY]["value"], [0])
self.exp.append(KEY, 1)
self.assertEqual(self.dataset_db.data[KEY]["value"], [0, 1])
def test_append_array(self):
for broadcast in (True, False):
self.exp.set(KEY, [], broadcast=broadcast)
self.exp.append(KEY, [])
self.exp.append(KEY, [])
self.assertEqual(self.exp.get(KEY), [[], []])
def test_append_scalar_fails(self):
for broadcast in (True, False):
with self.assertRaises(AttributeError):
self.exp.set(KEY, 0, broadcast=broadcast)
self.exp.append(KEY, 1)
def test_append_nonexistent_fails(self):
with self.assertRaises(KeyError):
self.exp.append(KEY, 0)
def test_write_hdf5_options(self):
data = np.random.randint(0, 1024, 1024)
self.exp.set(
KEY,
data,
hdf5_options=dict(
compression="gzip",
compression_opts=6,
shuffle=True,
fletcher32=True
),
)
with h5py.File("test.h5", "a", "core", backing_store=False) as f:
self.dataset_mgr.write_hdf5(f)
self.assertTrue(np.array_equal(f["datasets"][KEY][()], data))
self.assertEqual(f["datasets"][KEY].compression, "gzip")
self.assertEqual(f["datasets"][KEY].compression_opts, 6)
self.assertTrue(f["datasets"][KEY].shuffle)
self.assertTrue(f["datasets"][KEY].fletcher32)
def test_write_hdf5_no_options(self):
data = np.random.randint(0, 1024, 1024)
self.exp.set(KEY, data)
with h5py.File("test.h5", "a", "core", backing_store=False) as f:
self.dataset_mgr.write_hdf5(f)
self.assertTrue(np.array_equal(f["datasets"][KEY][()], data))
self.assertIsNone(f["datasets"][KEY].compression)
def test_write_hdf5_invalid_type(self):
class CustomType:
def __init__(self, x):
self.x = x
self.exp.set(KEY, CustomType(42))
with h5py.File("test.h5", "w", "core", backing_store=False) as f:
with self.assertRaisesRegex(TypeError, "CustomType"):
self.dataset_mgr.write_hdf5(f)
def main():
global ipc
multiline_log_config(level=int(sys.argv[2]))
ipc = pipe_ipc.ChildComm(sys.argv[1])
start_time = None
run_time = None
rid = None
expid = None
exp = None
exp_inst = None
repository_path = None
def write_results():
filename = "{:09}-{}.h5".format(rid, exp.__name__)
with h5py.File(filename, "w") as f:
dataset_mgr.write_hdf5(f)
f["artiq_version"] = artiq_version
f["rid"] = rid
f["start_time"] = start_time
f["run_time"] = run_time
f["expid"] = pyon.encode(expid)
device_mgr = DeviceManager(ParentDeviceDB,
virtual_devices={
"scheduler": Scheduler(),
"ccb": CCB()
})
dataset_mgr = DatasetManager(ParentDatasetDB)
import_cache.install_hook()
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.time()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
experiment_file = os.path.join(obj["wd"], expid["file"])
repository_path = obj["wd"]
else:
experiment_file = expid["file"]
repository_path = None
setup_diagnostics(experiment_file, repository_path)
exp = get_experiment(experiment_file, expid["class_name"])
device_mgr.virtual_devices["scheduler"].set_run_info(
rid, obj["pipeline_name"], expid, obj["priority"])
start_local_time = time.localtime(start_time)
rootdir = os.path.join(os.path.expanduser("~"), "data")
dirname = os.path.join(
rootdir, time.strftime("%Y-%m-%d", start_local_time))
os.makedirs(dirname, exist_ok=True)
os.chdir(dirname)
argument_mgr = ProcessArgumentManager(expid["arguments"])
exp_inst = exp((device_mgr, dataset_mgr, argument_mgr, {}))
put_completed()
elif action == "prepare":
exp_inst.prepare()
put_completed()
elif action == "run":
current_time = datetime.datetime.now().strftime("%H%M_%S")
run_time = time.time()
try:
exp_inst.run()
except:
# Only write results in run() on failure; on success wait
# for end of analyze stage.
write_results()
raise
put_completed()
elif action == "analyze":
try:
exp_inst.analyze()
except:
# make analyze failure non-fatal, as we may still want to
# write results afterwards
put_exception_report()
else:
put_object({"action": "completed"})
elif action == "write_results":
if hasattr(exp_inst, "archive"):
if not exp_inst.archive:
put_object({"action": "completed"})
continue
path = os.path.join(dirname, exp.__name__)
if not os.path.exists(path):
os.mkdir(path)
if hasattr(exp_inst, "filename"):
filename = list(exp_inst.filename.values())[0]
else:
filename = "raw-data_{}.h5".format(current_time)
file_ = os.path.join(path, filename)
with h5py.File(file_, "a") as f:
dataset_mgr.write_hdf5(f)
f["artiq_version"] = artiq_version
f["rid"] = rid
f["start_time"] = start_time
f["run_time"] = run_time
f["expid"] = pyon.encode(expid)
put_object({"action": "completed"})
elif action == "examine":
examine(ExamineDeviceMgr, ExamineDatasetMgr, obj["file"])
put_completed()
elif action == "terminate":
break
except:
put_exception_report()
finally:
device_mgr.close_devices()
ipc.close()
def main():
global ipc
multiline_log_config(level=int(sys.argv[2]))
ipc = pipe_ipc.ChildComm(sys.argv[1])
start_time = None
rid = None
expid = None
exp = None
exp_inst = None
repository_path = None
device_mgr = DeviceManager(ParentDeviceDB)
device_mgr.virtual_devices["scheduler"] = Scheduler(device_mgr)
dataset_mgr = DatasetManager(ParentDatasetDB)
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.localtime()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
experiment_file = os.path.join(obj["wd"], expid["file"])
repository_path = obj["wd"]
else:
experiment_file = expid["file"]
repository_path = None
setup_diagnostics(experiment_file, repository_path)
exp = get_exp(experiment_file, expid["class_name"])
device_mgr.virtual_devices["scheduler"].set_run_info(
rid, obj["pipeline_name"], expid, obj["priority"])
dirname = os.path.join("results",
time.strftime("%Y-%m-%d", start_time),
time.strftime("%H", start_time))
os.makedirs(dirname, exist_ok=True)
os.chdir(dirname)
argument_mgr = ProcessArgumentManager(expid["arguments"])
exp_inst = exp((device_mgr, dataset_mgr, argument_mgr))
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
exp_inst.analyze()
put_object({"action": "completed"})
elif action == "write_results":
filename = "{:09}-{}.h5".format(rid, exp.__name__)
with h5py.File(filename, "w") as f:
dataset_mgr.write_hdf5(f.create_group("datasets"))
f["artiq_version"] = artiq_version
f["rid"] = rid
f["start_time"] = int(time.mktime(start_time))
f["expid"] = pyon.encode(expid)
put_object({"action": "completed"})
elif action == "examine":
examine(ExamineDeviceMgr, ParentDatasetDB, obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
except Exception as exc:
# When we get CompileError, a more suitable diagnostic has already
# been printed.
if not isinstance(exc, CompileError):
short_exc_info = type(exc).__name__
exc_str = str(exc)
if exc_str:
short_exc_info += ": " + exc_str.splitlines()[0]
lines = ["Terminating with exception ("+short_exc_info+")\n"]
if hasattr(exc, "artiq_core_exception"):
lines.append(str(exc.artiq_core_exception))
if hasattr(exc, "parent_traceback"):
lines += exc.parent_traceback
lines += traceback.format_exception_only(type(exc), exc)
logging.error("".join(lines).rstrip(),
exc_info=not hasattr(exc, "parent_traceback"))
put_object({"action": "exception"})
finally:
device_mgr.close_devices()
ipc.close()
