def setup_peakstats(*, motors, gs):
"Set up peakstats"
motor = list(motors)[0]
key = first_key_heuristic(motor)
ps = PeakStats(key, gs.MASTER_DET_FIELD, **gs.PS_CONFIG)
gs.PS = ps
ps.motor = motor
return ps
def setup_peakstats(*, motors, gs):
"Set up peakstats"
motor = list(motors)[0]
key = first_key_heuristic(motor)
ps = PeakStats(key, gs.MASTER_DET_FIELD, **gs.PS_CONFIG)
gs.PS = ps
ps.motor = motor
return ps
def setup_liveraster(*, motors, gs, shape, extent):
"""Setup a LiveTable by inspecting motors, shape, extent, and gs.
"""
if len(motors) != 2:
return None
ylab, xlab = [first_key_heuristic(m) for m in motors]
raster = LiveRaster(shape, gs.MASTER_DET_FIELD, xlabel=xlab,
ylabel=ylab, extent=extent, clim=[0, 1])
return raster
def setup_liveraster(*, motors, gs, shape, extent):
"""Setup a LiveTable by inspecting motors, shape, extent, and gs.
"""
if len(motors) != 2:
return None
ylab, xlab = [first_key_heuristic(m) for m in motors]
raster = LiveRaster(shape, gs.MASTER_DET_FIELD, xlabel=xlab,
ylabel=ylab, extent=extent)
return raster
def plan(self):
from bluesky.plans import subs_decorator, scan
from bluesky.callbacks import LiveTable, LivePlot
from bluesky.utils import first_key_heuristic
lp = LivePlot(first_key_heuristic(self.dets[0]),
first_key_heuristic(self.motor),
fig=self.fig)
@subs_decorator([LiveTable([self.motor] + self.dets), lp])
def scan_gui_plan():
yield from scan(self.dets,
self.motor,
self.start.value(),
self.stop.value(),
self.steps.value(),
md={'created_by': 'GUI'})
return scan_gui_plan()
def setup_plot(*, motors, gs):
"""Setup a LivePlot by inspecting motors and gs.
If motors is empty, use sequence number.
"""
y_key = gs.PLOT_Y
if motors:
x_key = first_key_heuristic(list(motors)[0])
fig_name = _figure_name('BlueSky: {} v {}'.format(y_key, x_key))
ax = plt.figure(fig_name).gca()
return LivePlot(y_key, x_key, ax=ax)
else:
fig_name = _figure_name('BlueSky: {} v sequence number'.format(y_key))
ax = plt.figure(fig_name).gca()
return LivePlot(y_key, ax=ax)
def setup_plot(*, motors, gs):
"""Setup a LivePlot by inspecting motors and gs.
If motors is empty, use sequence number.
"""
y_key = gs.PLOT_Y
if motors:
x_key = first_key_heuristic(list(motors)[0])
fig_name = _figure_name('BlueSky: {} v {}'.format(y_key, x_key))
ax = plt.figure(fig_name).gca()
return LivePlot(y_key, x_key, ax=ax)
else:
fig_name = _figure_name('BlueSky: {} v sequence number'.format(y_key))
ax = plt.figure(fig_name).gca()
return LivePlot(y_key, ax=ax)
def _inner_loop(dets,
exposure_count,
delay,
deadline,
per_step,
stream_name,
done_signal=None):
"""Helper plan for the inner loop of the sinter plans
This is very much like the repeat plan, but has less
delay input types and more logic about finishing on a deadline.
Parameters
----------
dets : List[OphydObj]
The detectors passed to per_step
exposure_count : int
The maximum number of times to call per_step
delay : float
The target delay between subsequent starts of per_step.
deadline : float
Wall time to be done by. Under no condition take longer
than this to completely run through plan.
per_step : Callable[List[OphydObj], Optional[str]] -> Generator[Msg]
The plan to run 'per step'.
This is the signature of triger_and_read
primary : str
Passed to per_step
done_signal : Signal, optional
If passed, will exit early when goes to 1
"""
if done_signal is not None:
from bluesky.utils import first_key_heuristic
signal_key = first_key_heuristic(done_signal)
def _check_signal():
val = yield from bps.read(done_signal)
if val is None:
return True
val = val[signal_key]['value']
return bool(val)
else:
_check_signal = None
for j in range(exposure_count):
start_time = time.monotonic()
yield from bps.checkpoint()
# if things get bogged down in data collection, bail early!
if start_time > deadline:
print(f'{start_time} > {deadline} bail!')
break
# this triggers the cameras
yield from per_step(dets, stream_name)
stop_time = time.monotonic()
exp_actual = stop_time - start_time
sleep_time = delay - exp_actual
yield from bps.checkpoint()
if _check_signal is not None:
done = yield from _check_signal()
if done:
return
if stop_time + sleep_time > deadline:
yield from bps.sleep(deadline - stop_time)
return
else:
yield from bps.sleep(delay - exp_actual)
