Improved snapshot interface with saving snapshot files in the OP configuration. Added app support for stabilizing XTCAV. Added a BSacquisition based on BSCache
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@ -2,3 +2,4 @@ from .adaptiveorbit import AdaptiveOrbit
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from .spectralanalysis import SpectralAnalysis
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from .hero import LaserPower,EnergyModulation
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from .dispersiontools import Dispersion
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from .xtcavstabilizer import XTCAVStabilizer
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@ -9,6 +9,7 @@ from slic.core.adjustable import PVAdjustable
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from slic.core.acquisition import BSAcquisition, PVAcquisition
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from slic.core.scanner import Scanner
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from sfbd.ext import CounterAdjustable
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from sfbd.ext import BSCAcquisition
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def getAux(pvs=None):
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if not pvs:
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@ -95,7 +96,7 @@ class Dispersion:
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sensor1 = getBSChannels('SATBD02-DBPM.*:Y2$')
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sensor2 = getBSChannels('SATCB.*-RLLE-DSP:.*-VS$')
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self.sensor = sensor1+sensor2
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self.acq = [BSAcquisition(".",pgroup, default_channels=self.sensor)]
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self.acq = [BSCAcquisition(".",pgroup, default_channels=self.sensor)]
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# auxiliar data to be read one
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self.aux = self.getRFCalibrationChannels(sensor2,'SATCL01-MBND100:ENERGY-OP')
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@ -159,7 +160,7 @@ class Dispersion:
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def setup(self,scl = 1, Nsteps=5, Nsamples=5):
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val = self.adj.get_current_value(readback=False)
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dval = self.amp*scl
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dval = 0
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dval = 0 ######## edit this
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self.N = Nsteps
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self.Ns= Nsamples
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self.values=np.linspace(val-dval,val+dval,num=self.N)
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@ -179,10 +180,10 @@ class Dispersion:
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self.sc=self.scanner.ascan_list(self.adj,self.values,
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filename=self.branch,start_immediately = False,
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n_pulses=self.Ns,return_to_initial_values=True)
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self.preaction()
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# self.preaction() ######
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self.sc.run()
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self.auxdata = getAux(self.aux)
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self.postaction()
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# self.postaction() #######
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def stop(self):
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@ -2,18 +2,29 @@ import time
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import numpy as np
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from bstrd import BSCache
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from epics import PV
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class XTCAVStabilizer:
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"""
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Wrapper class to bundle all daq/io needed for stabilizing the XTCAV
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"""
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def __init__(self):
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# the PV
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self.PVTCAV = PV('SATMA02-RMSM:SM-GET',connection_timeout=0.9, callback=self.stateChanged)
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self.state=self.PVTCAV.value == 9
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# the BS channels
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self.bs = BSCache(100000,10000) # 100 second timeout, size for 100 second data taken
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self.channels = ['SATBD02-DBPM040:X2','SATMA02-RLLE-DSP:PHASE-VS']
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self.channels = ['SATBD02-DBPM040:X2','SATMA02-RLLE-DSP:PHASE-VS','SATBD02-DBPM040:X2-VALID']
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self.validation = self.channels[2]
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self.bs.get_vars(self.channels) # this starts the stream into the cache
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self.bs.stop()
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def stateChanged(self,pvname=None, value=0, **kws):
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self.state = value == 9
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def terminate(self):
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print('Stopping BSStream Thread...')
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self.bs.stop()
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@ -23,7 +34,7 @@ class XTCAVStabilizer:
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self.bs.flush()
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def read(self):
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data=self.bs.__next__()
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return data['pid'],data[self.channels[0]],data[self.channels[1]] # returns PID, BPM reading, TCAV Phase
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return self.bs.__next__()
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@ -1,3 +1,4 @@
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from .magnet import Magnet
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from .camacquisition import CamAcquisition
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from .counteradjustable import CounterAdjustable
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from .bscacquisition import BSCAcquisition
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42
ext/bscacquisition.py
Normal file
42
ext/bscacquisition.py
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@ -0,0 +1,42 @@
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import zmq
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import h5py
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from bstrd import BSCache
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from slic.core.acquisition.acquisition import Acquisition
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from slic.core.acquisition import BSAcquisition, PVAcquisition
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# class using the BSQueue to avoid to reestablish a stream for each step.
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class BSCAcquisition(Acquisition):
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def release(self):
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if not self.queue == None:
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del self.queue
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self.queue = None
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def _acquire(self, filename, channels=None, data_base_dir=None, scan_info=None, n_pulses=100, **kwargs):
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if not hasattr(self,'queue'):
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self.queue = getStream(channels)
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elif not self.queue:
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self.queue = getStream(channels)
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self.queue.flush()
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print('Acquiring',n_pulses,'samples')
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data = []
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for i in range(n_pulses):
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data.append(self.queue.__next__())
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hid = h5py.File(filename,'w')
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gid = hid.create_group(channels[0])
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for key in data[0].keys():
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gid.create_dataset(key, data = [rec[key].value for rec in data])
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hid.close()
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def getStream(channels):
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print('Generating stream with channels:',channels)
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bs = BSCache(100000,10000) # 1 second time out, capazity for 100 second.
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bs.get_vars(channels)
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return bs
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@ -1,4 +1,5 @@
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from .snap import getSnap
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from .snap import saveSnap
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from .save import saveDataset
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from .load import loadDataset
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from .elog import writeElog
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@ -1,13 +1,12 @@
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import numpy as np
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import yaml
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import os
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import datetime
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import epics
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# things to do:
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# 1. Read a snapshot file (not request file)
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# 2. Save a snapshot file
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# 3. add parameters and performance channels (e.g. AT photon energies)
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# 2. add parameters and performance channels (e.g. AT photon energies)
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def parseSnapShotReqYAML(filename):
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# read the snapshot request file
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@ -63,6 +62,18 @@ def getSnap(pvs=None):
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epics.ca.clear_cache()
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return ret
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def saveSnap(pvs={},label="", comment = "generated by application"):
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filename = datetime.datetime.now().strftime('/sf/data/applications/snapshot/SF_settings_%Y%m%d_%H%M%S.snap')
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with open(filename,'w') as fid:
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fid.write('#{"labels":["%s"],"comment":"%s", "machine_parms":{}, "save_time": 0.0, "req_file_name": "SF_settings.yaml"}\n' % (label,comment))
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for key in pvs.keys():
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if isinstance(pvs[key],int):
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fid.write('%s,{"val": %d}\n' % (key,pvs[key]))
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elif isinstance(pvs[key],float):
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fid.write('%s,{"val": %f}\n' % (key,pvs[key]))
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elif isinstance(pvs[key],str):
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fid.write('%s,{"val": %s}\n' % (key,pvs[key]))
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