def run(run_start=None, sleep=0):
if sleep != 0:
raise NotImplementedError("A sleep time is not implemented for this "
"example.")
# Make the data
ramp = common.stepped_ramp(start, stop, step, points_per_step)
deadbanded_ramp = common.apply_deadband(ramp, deadband_size)
rs = np.random.RandomState(5)
point_det_data = rs.randn(num_exposures)
# Create Event Descriptors
data_keys1 = {'point_det': dict(source='PV:ES:PointDet', dtype='number')}
data_keys2 = {
'Tsam': dict(source='PV:ES:Tsam', dtype='number'),
'Troom': dict(source='PV:ES:Troom', dtype='number')
}
ev_desc1_uid = insert_event_descriptor(run_start=run_start,
data_keys=data_keys1,
time=common.get_time(),
uid=str(uuid.uuid4()))
ev_desc2_uid = insert_event_descriptor(run_start=run_start,
data_keys=data_keys2,
time=common.get_time(),
uid=str(uuid.uuid4()))
print('event descriptor 1 uid = %s' % ev_desc1_uid)
print('event descriptor 2 uid = %s' % ev_desc2_uid)
# Create Events.
events = []
# Point Detector Events
base_time = common.get_time()
for i in range(num_exposures):
time = float(i + 0.5 * rs.randn()) + base_time
data = {'point_det': (point_det_data[i], time)}
data = {'point_det': point_det_data[i]}
timestamps = {'point_det': time}
event_uid = insert_event(descriptor=ev_desc1_uid,
seq_num=i,
time=time,
data=data,
uid=str(uuid.uuid4()),
timestamps=timestamps)
event, = find_events(uid=event_uid)
events.append(event)
# Temperature Events
for i, (time, temp) in enumerate(zip(*deadbanded_ramp)):
time = float(time) + base_time
data = {'Tsam': temp, 'Troom': temp + 10}
timestamps = {'Tsam': time, 'Troom': time}
event_uid = insert_event(descriptor=ev_desc2_uid,
time=time,
data=data,
seq_num=i,
uid=str(uuid.uuid4()),
timestamps=timestamps)
event, = find_events(uid=event_uid)
events.append(event)
return events
def run(run_start=None, sleep=0):
if sleep != 0:
raise NotImplementedError("A sleep time is not implemented for this " "example.")
# Make the data
ramp = common.stepped_ramp(start, stop, step, points_per_step)
deadbanded_ramp = common.apply_deadband(ramp, deadband_size)
rs = np.random.RandomState(5)
point_det_data = rs.randn(num_exposures)
# Create Event Descriptors
data_keys1 = {"point_det": dict(source="PV:ES:PointDet", dtype="number")}
data_keys2 = {
"Tsam": dict(source="PV:ES:Tsam", dtype="number"),
"Troom": dict(source="PV:ES:Troom", dtype="number"),
}
ev_desc1_uid = insert_event_descriptor(
run_start=run_start, data_keys=data_keys1, time=common.get_time(), uid=str(uuid.uuid4())
)
ev_desc2_uid = insert_event_descriptor(
run_start=run_start, data_keys=data_keys2, time=common.get_time(), uid=str(uuid.uuid4())
)
print("event descriptor 1 uid = %s" % ev_desc1_uid)
print("event descriptor 2 uid = %s" % ev_desc2_uid)
# Create Events.
events = []
# Point Detector Events
base_time = common.get_time()
for i in range(num_exposures):
time = float(i + 0.5 * rs.randn()) + base_time
data = {"point_det": (point_det_data[i], time)}
data = {"point_det": point_det_data[i]}
timestamps = {"point_det": time}
event_uid = insert_event(
descriptor=ev_desc1_uid, seq_num=i, time=time, data=data, uid=str(uuid.uuid4()), timestamps=timestamps
)
event, = find_events(uid=event_uid)
events.append(event)
# Temperature Events
for i, (time, temp) in enumerate(zip(*deadbanded_ramp)):
time = float(time) + base_time
data = {"Tsam": temp, "Troom": temp + 10}
timestamps = {"Tsam": time, "Troom": time}
event_uid = insert_event(
descriptor=ev_desc2_uid, time=time, data=data, seq_num=i, uid=str(uuid.uuid4()), timestamps=timestamps
)
event, = find_events(uid=event_uid)
events.append(event)
return events
def run(run_start_uid=None, sleep=0):
if sleep != 0:
raise NotImplementedError("A sleep time is not implemented for this "
"example.")
# Make the data
ramp = common.stepped_ramp(start, stop, step, points_per_step)
deadbanded_ramp = common.apply_deadband(ramp, deadband_size)
rs = np.random.RandomState(5)
point_det_data = rs.randn(num_exposures) + np.arange(num_exposures)
# Create Event Descriptors
data_keys1 = {'point_det': dict(source='PV:ES:PointDet', dtype='number')}
data_keys2 = {'Tsam': dict(source='PV:ES:Tsam', dtype='number')}
ev_desc1_uid = insert_event_descriptor(run_start=run_start_uid,
data_keys=data_keys1, time=common.get_time())
ev_desc2_uid = insert_event_descriptor(run_start=run_start_uid,
data_keys=data_keys2, time=common.get_time())
# Create Events.
events = []
# Point Detector Events
base_time = common.get_time()
for i in range(num_exposures):
time = float(2 * i + 0.5 * rs.randn()) + base_time
data = {'point_det': point_det_data[i]}
timestamps = {'point_det': time}
event_dict = dict(descriptor=ev_desc1_uid, seq_num=i,
time=time, data=data, timestamps=timestamps)
event_uid = insert_event(**event_dict)
# grab the actual event from metadatastore
event, = find_events(uid=event_uid)
events.append(event)
# Temperature Events
for i, (time, temp) in enumerate(zip(*deadbanded_ramp)):
time = float(time) + base_time
data = {'Tsam': temp}
timestamps = {'Tsam': time}
event_dict = dict(descriptor=ev_desc2_uid, time=time,
data=data, timestamps=timestamps, seq_num=i)
event_uid = insert_event(**event_dict)
event, = find_events(uid=event_uid)
events.append(event)
#todo insert run stop if run_start_uid is not None
return events
