Modified BSCAcquisition, so that the Cache is an argument of the function _acquire

This commit is contained in:
2023-07-07 11:59:55 +02:00
parent 0c928a8bb1
commit 10c7b37b99
2 changed files with 34 additions and 36 deletions

View File

@ -90,13 +90,13 @@ class Dispersion:
# adjustable
self.adjSV = 'SATCB01-RSYS:SET-BEAM-PHASE'
self.adjRB = 'SATCB01-RSYS:GET-BEAM-PHASE'
self.adj = PVAdjustable(self.adjSV,pvname_readback = self.adjRB, accuracy = 0.1)
self.adj = PVAdjustable(self.adjSV,pvname_readback = self.adjRB, accuracy = 0.1,ID = self.adjSV, name = "SATCB01-Linac")
self.amp = 30 # the amplitude of the scan, which can be scaled
# acquisition
sensor1 = getBSChannels('SATBD02-DBPM.*:Y2$')
sensor2 = getBSChannels('SATCB.*-RLLE-DSP:.*-VS$')
self.sensor = sensor1+sensor2
self.acq = [BSCAcquisition(".",pgroup, default_channels=self.sensor)]
self.acq = [BSAcquisition(".",pgroup, default_channels=self.sensor)]
# auxiliar data to be read one
self.aux = self.getRFCalibrationChannels(sensor2,'SATCL01-MBND100:ENERGY-OP')
@ -115,7 +115,7 @@ class Dispersion:
# adjustable
self.adjSV = 'S30:SET-E-GAIN-OP'
self.adjRB = 'S30:GET-E-GAIN-OP'
self.adj = PVAdjustable(self.adjSV,pvname_readback = self.adjRB, accuracy = 0.1)
self.adj = PVAdjustable(self.adjSV,pvname_readback = self.adjRB, accuracy = 0.1,ID = self.adjSV, name = "Linac3")
self.amp = 20 # the amplitude of the scan, which can be scaled
# acquisition
sensor1 = getBSChannels('SAR.*DBPM.*:[XY]1$')
@ -142,7 +142,7 @@ class Dispersion:
# adjustable
self.adjSV = 'S20:SET-E-GAIN-OP'
self.adjRB = 'S20:GET-E-GAIN-OP'
self.adj = PVAdjustable(self.adjSV,pvname_readback = self.adjRB, accuracy = 0.1)
self.adj = PVAdjustable(self.adjSV,pvname_readback = self.adjRB, accuracy = 0.1,ID = self.adjSV, name = "Linac 2 and 3")
# self.adj2SV = 'S30:SET-E-GAIN-OP'
# self.adj2RB = 'S30:GET-E-GAIN-OP'
# self.adj2 = PVAdjustable(self.adj2SV,pvname_readback = self.adj2RB, accuracy = 0.1)
@ -159,7 +159,7 @@ class Dispersion:
def setup(self,scl = 1, Nsteps=5, Nsamples=5):
val = self.adj.get_current_value(readback=False)
dval = self.amp*scl
# dval = self.amp*scl
dval = 0 ######## edit this
self.N = Nsteps
self.Ns= Nsamples
@ -180,10 +180,10 @@ class Dispersion:
self.sc=self.scanner.ascan_list(self.adj,self.values,
filename=self.branch,start_immediately = False,
n_pulses=self.Ns,return_to_initial_values=True)
# self.preaction() ######
# self.preaction() ######
self.sc.run()
self.auxdata = getAux(self.aux)
# self.postaction() #######
# self.auxdata = getAux(self.aux)
# self.postaction() #######
def stop(self):

View File

@ -1,42 +1,40 @@
import zmq
import h5py
import numpy as np
from bstrd import BSCache
from slic.core.acquisition.acquisition import Acquisition
from slic.core.acquisition import BSAcquisition, PVAcquisition
# class using the BSQueue to avoid to reestablish a stream for each step.
class BSCAcquisition(Acquisition):
def release(self):
if not self.queue == None:
del self.queue
self.queue = None
def _acquire(self, filename, channels=None, data_base_dir=None, scan_info=None, n_pulses=100, **kwargs):
if not hasattr(self,'queue'):
self.queue = getStream(channels)
elif not self.queue:
self.queue = getStream(channels)
self.queue.flush()
print('Acquiring',n_pulses,'samples')
data = []
queue =channels[0] # abusing interface since BSAcquisition assume a list of channels
# allocating space
data={}
chns = queue.channels
for chn in chns:
data[chn]={'data':np.zeros((n_pulses))}
data['pulse_id']=np.zeros((n_pulses))
# clear the queue
queue.flush()
for i in range(n_pulses):
data.append(self.queue.__next__())
msg = queue.__next__() # pull data from cache
for chn in chns:
data[chn]['data'][i] = msg[chn]
data['pulse_id'][i]=msg['pid']
# write out the data file
hid = h5py.File(filename,'w')
gid = hid.create_group(channels[0])
for key in data[0].keys():
gid.create_dataset(key, data = [rec[key].value for rec in data])
hid.create_dataset('pulse_id', data = data['pulse_id'])
for chn in chns:
gid = hid.create_group(chn)
for key in data[chn].keys():
gid.create_dataset(key, data = data[chn][key])
hid.close()
def getStream(channels):
print('Generating stream with channels:',channels)
bs = BSCache(100000,10000) # 1 second time out, capazity for 100 second.
bs.get_vars(channels)
return bs