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ENH: add V33 compatible version of Stats plugin
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PV name changes due to areaDetector/ADCore#333

Work of @mrakitin, @malitsky, and Oksana Ivashkevych.
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@tacaswell
tacaswell committed Sep 10, 2018
1 parent 688aaa5 commit 6a0c4b0
Showing 1 changed file with 148 additions and 2 deletions.
150 changes: 148 additions & 2 deletions nslsii/ad33.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,10 +6,16 @@
all of these names may change in the future.
"""

from ophyd import Device, Component as Cpt
from ophyd.device import Staged
from ophyd.signal import EpicsSignalRO, EpicsSignal
from ophyd.areadetector.base import (ADComponent as C, ad_group,
EpicsSignalWithRBV as SignalWithRBV)
from ophyd.areadetector.plugins import PluginBase
from ophyd.areadetector.trigger_mixins import TriggerBase, ADTriggerStatus
from ophyd.device import DynamicDeviceComponent as DDC, Staged
from ophyd.signal import (EpicsSignalRO, EpicsSignal)


import time as ttime


Expand Down Expand Up @@ -75,3 +81,143 @@ def _acq_done(*args, **kwargs):
self._acquisition_signal.put(1, use_complete=True, callback=_acq_done)
self.dispatch(self._image_name, ttime.time())
return self._status


class StatsPluginV33(PluginBase):
"""This supports changes to time series PV names in AD 3-3
Due to https://github.com/areaDetector/ADCore/pull/333
"""
_default_suffix = 'Stats1:'
_suffix_re = 'Stats\d:'
_html_docs = ['NDPluginStats.html']
_plugin_type = 'NDPluginStats'

_default_configuration_attrs = (PluginBase._default_configuration_attrs + (
'centroid_threshold', 'compute_centroid', 'compute_histogram',
'compute_profiles', 'compute_statistics', 'bgd_width',
'hist_size', 'hist_min', 'hist_max', 'ts_num_points', 'profile_size',
'profile_cursor')
)

bgd_width = C(SignalWithRBV, 'BgdWidth')
centroid_threshold = C(SignalWithRBV, 'CentroidThreshold')

centroid = DDC(ad_group(EpicsSignalRO,
(('x', 'CentroidX_RBV'),
('y', 'CentroidY_RBV'))),
doc='The centroid XY',
default_read_attrs=('x', 'y'))

compute_centroid = C(SignalWithRBV, 'ComputeCentroid', string=True)
compute_histogram = C(SignalWithRBV, 'ComputeHistogram', string=True)
compute_profiles = C(SignalWithRBV, 'ComputeProfiles', string=True)
compute_statistics = C(SignalWithRBV, 'ComputeStatistics', string=True)

cursor = DDC(ad_group(SignalWithRBV,
(('x', 'CursorX'),
('y', 'CursorY'))),
doc='The cursor XY',
default_read_attrs=('x', 'y'))

hist_entropy = C(EpicsSignalRO, 'HistEntropy_RBV')
hist_max = C(SignalWithRBV, 'HistMax')
hist_min = C(SignalWithRBV, 'HistMin')
hist_size = C(SignalWithRBV, 'HistSize')
histogram = C(EpicsSignalRO, 'Histogram_RBV')

max_size = DDC(ad_group(EpicsSignal,
(('x', 'MaxSizeX'),
('y', 'MaxSizeY'))),
doc='The maximum size in XY',
default_read_attrs=('x', 'y'))

max_value = C(EpicsSignalRO, 'MaxValue_RBV')
max_xy = DDC(ad_group(EpicsSignalRO,
(('x', 'MaxX_RBV'),
('y', 'MaxY_RBV'))),
doc='Maximum in XY',
default_read_attrs=('x', 'y'))

mean_value = C(EpicsSignalRO, 'MeanValue_RBV')
min_value = C(EpicsSignalRO, 'MinValue_RBV')

min_xy = DDC(ad_group(EpicsSignalRO,
(('x', 'MinX_RBV'),
('y', 'MinY_RBV'))),
doc='Minimum in XY',
default_read_attrs=('x', 'y'))

net = C(EpicsSignalRO, 'Net_RBV')
profile_average = DDC(ad_group(EpicsSignalRO,
(('x', 'ProfileAverageX_RBV'),
('y', 'ProfileAverageY_RBV'))),
doc='Profile average in XY',
default_read_attrs=('x', 'y'))

profile_centroid = DDC(ad_group(EpicsSignalRO,
(('x', 'ProfileCentroidX_RBV'),
('y', 'ProfileCentroidY_RBV'))),
doc='Profile centroid in XY',
default_read_attrs=('x', 'y'))

profile_cursor = DDC(ad_group(EpicsSignalRO,
(('x', 'ProfileCursorX_RBV'),
('y', 'ProfileCursorY_RBV'))),
doc='Profile cursor in XY',
default_read_attrs=('x', 'y'))

profile_size = DDC(ad_group(EpicsSignalRO,
(('x', 'ProfileSizeX_RBV'),
('y', 'ProfileSizeY_RBV'))),
doc='Profile size in XY',
default_read_attrs=('x', 'y'))

profile_threshold = DDC(ad_group(EpicsSignalRO,
(('x', 'ProfileThresholdX_RBV'),
('y', 'ProfileThresholdY_RBV'))),
doc='Profile threshold in XY',
default_read_attrs=('x', 'y'))

set_xhopr = C(EpicsSignal, 'SetXHOPR')
set_yhopr = C(EpicsSignal, 'SetYHOPR')
sigma_xy = C(EpicsSignalRO, 'SigmaXY_RBV')
sigma_x = C(EpicsSignalRO, 'SigmaX_RBV')
sigma_y = C(EpicsSignalRO, 'SigmaY_RBV')
sigma = C(EpicsSignalRO, 'Sigma_RBV')
ts_acquiring = C(EpicsSignal, 'TS:TSAcquiring')

ts_centroid = DDC(ad_group(EpicsSignal,
(('x', 'TS:TSCentroidX'),
('y', 'TS:TSCentroidY'))),
doc='Time series centroid in XY',
default_read_attrs=('x', 'y'))

# ts_control = C(EpicsSignal, 'TS:TSControl', string=True)
ts_current_point = C(EpicsSignal, 'TS:TSCurrentPoint')
ts_max_value = C(EpicsSignal, 'TS:TSMaxValue')

ts_max = DDC(ad_group(EpicsSignal,
(('x', 'TS:TSMaxX'),
('y', 'TS:TSMaxY'))),
doc='Time series maximum in XY',
default_read_attrs=('x', 'y'))

ts_mean_value = C(EpicsSignal, 'TS:TSMeanValue')
ts_min_value = C(EpicsSignal, 'TS:TSMinValue')

ts_min = DDC(ad_group(EpicsSignal,
(('x', 'TS:TSMinX'),
('y', 'TS:TSMinY'))),
doc='Time series minimum in XY',
default_read_attrs=('x', 'y'))

ts_net = C(EpicsSignal, 'TS:TSNet')
ts_num_points = C(EpicsSignal, 'TS:TSNumPoints')
ts_read = C(EpicsSignal, 'TS:TSRead')
ts_sigma = C(EpicsSignal, 'TS:TSSigma')
ts_sigma_x = C(EpicsSignal, 'TS:TSSigmaX')
ts_sigma_xy = C(EpicsSignal, 'TS:TSSigmaXY')
ts_sigma_y = C(EpicsSignal, 'TS:TSSigmaY')
ts_total = C(EpicsSignal, 'TS:TSTotal')
total = C(EpicsSignalRO, 'Total_RBV')

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