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run_DAQ_multiarrays_align.py
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run_DAQ_multiarrays_align.py
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#! /usr/bin/env python
import os
import sys
import optparse
import datetime
import subprocess
from glob import glob
from collections import defaultdict
from collections import OrderedDict
from array import array
import time
import re
import numpy as np
import copy
#runNumberFileName="/home/cmsdaq/Workspace/TOFPET/Timing-TOFPET2/data/RunNumbersTest.txt"
sys.path.insert(1, os.path.join(sys.path[0], '../../CNCMotor/'))
from xyzMover import XYZMover
usage = "usage: run from Timing-TOFPET: \n python run_DAQ_multiarrays.py -c list_config_main_array.txt -o data/LYSOMULTIARRAYALIGNMENT -n TEST"
parser = optparse.OptionParser(usage)
parser.add_option("-c", "--config", dest="configFile",
help="list with config file for different arrays")
parser.add_option("-o", "--outFolder", dest="outputFolder",
help="output directory")
parser.add_option("--pedAllChannels", dest="pedAllChannels", default=0,
help="Set to 1 to collect pedestals for all channels (default is 0)")
parser.add_option("-n", "--name", dest="nameLabel",
help="label for output files")
(opt, args) = parser.parse_args()
if not opt.configFile:
parser.error('list of config files not provided')
if not opt.outputFolder:
parser.error('output folder not provided')
if not opt.nameLabel:
parser.error('label for output files not provided')
#############################
## Input and output
#############################
cfileNames = []
for ff in open(opt.configFile):
ff = ff.rstrip()
cfileNames.append(ff)
#print cfileNames
commandOutputDir = "mkdir -p "+opt.outputFolder
print commandOutputDir
os.system(commandOutputDir)
#############################
## Daq script
#############################
def RUN(configArray,runtype,time,ov,ovref,gate,label,enabledCh,thresholds,thresholdsT1,nloops,sleep,timePed):
###############
## Current time
###############
current_time = datetime.datetime.now()
simpletimeMarker = "%04d-%02d-%02d-%02d-%02d-%02d" % (current_time.year,current_time.month,current_time.day,current_time.hour,current_time.minute,current_time.second)
print simpletimeMarker
####################
## Update run number
####################
currentRun = 0
outputFileName = opt.outputFolder+"/RunNumbers.txt"
##outputFileName = "/media/cmsdaq/ext/data/RunNumbers.txt"
#outputFileName = runNumberFileName
file_runs = open(outputFileName, 'a+')
lastRun = subprocess.check_output(['tail', '-1', outputFileName])
lastRun = lastRun.rstrip('\n')
if not lastRun:
currentRun = 1
else:
currentRun = int(lastRun) + 1
file_runs.write(str(currentRun)+'\n')
file_runs.close()
#################
## Write commands
#################
newlabel = "Run"+str(currentRun).zfill(6)+"_"+simpletimeMarker+"_"+label
if(runtype == "PED"):
commandRun = "python run_TOFPET.py -c "+ configArray+" --runType PED -d acquire_pedestal_data " + "-t "+ str(time)+" -v "+str(ov)+" --ovref "+str(ovref)+" -l "+str(newlabel)+" -g "+str(gate)+" -o "+opt.outputFolder+" --pedAllChannels " + str(opt.pedAllChannels) + " --nloops " + str(nloops) + " --sleep " + str(sleep)
if (enabledCh!=""):
commandRun = commandRun +" --enabledChannels " + str(enabledCh)
if(runtype == "PHYS"):
commandRun = "python run_TOFPET.py -c "+ configArray+" --runType PHYS -d my_acquire_sipm_data " + "-t "+ str(time)+" -v "+str(ov)+" --ovref "+str(ovref)+" -l "+str(newlabel)+" -g "+str(gate)+" -o "+opt.outputFolder + " --nloops " + str(nloops) + " --sleep " + str(sleep) + " --timePed " + str(timePed)
if (enabledCh!=""):
commandRun = commandRun +" --enabledChannels " + str(enabledCh)
if (thresholds!=""):
commandRun = commandRun + " --energyThr " + str(thresholds)
if (thresholdsT1!=""):
commandRun = commandRun + " --energyThrT1 " + str(thresholdsT1)
print commandRun
## without Airtable
os.system(commandRun)
return;
### with Airtable
# tags=newlabel.split('_')
# print(tags)
# posX=float(tags[4].replace('X',''))
# posY=float(tags[5].replace('Y',''))
# dbCommand = ". ~/AutoProcess/setup.sh; python3 ~/AutoProcess/insertRun.py --id=%s --type=%s --tag=%s --ov=%1.f --posx=%.1f --posy=%.1f "%(tags[0],runtype,newlabel,ov,posX,posY)
# if (runtype == 'PHYS'):
# dbCommand += ' --xtal=%s'%tags[2]
# print(dbCommand)
# insertDBStatus=os.WEXITSTATUS(os.system(dbCommand))
# if (not insertDBStatus==0):
# print('Error writing %s to runDB. Giving up'%tags[0])
# return
#
## commandRun='sleep 5'
# exitStatus=os.WEXITSTATUS(os.system(commandRun))
#
# if (exitStatus==0):
# dbCommandCompleted = ". ~/AutoProcess/setup.sh; python3 ~/AutoProcess/updateRun.py --id=%s --status='%s'"%(tags[0],'DAQ COMPLETED')
# print(dbCommandCompleted)
# os.system(dbCommandCompleted)
# if (not insertDBStatus==0):
# print('Error writing %s to runDB. Giving up'%tags[0])
# return
# else:
# print('%s successfully inserted into RunDB'%tags[0])
# return;
###
###################
## Daq settings
###################
## array ##
#channelList="0_1_2_18" #bar0
channelList="0_1_10_26" #bar8
nch = len(channelList.split("_"))
#
#energyThrValue = 20
#energyThrList = '_'.join([str(energyThrValue)] * nch)
energyThrList = "5_5_5_5"
#
#t1ThrValue = 35
#t1ThrList = '_'.join([str(t1ThrValue)] * nch)
t1ThrList = "35_35_35_35"
#
t_ped = 0.3 #s
t_phys = 10 #s
ov_values = [7] #V
ovref_values = [7] #V
gate_values = [34] # # MIN_INTG_TIME/MAX_INTG_TIME 34 = (34 x 4 - 78) x 5 ns = 290ns (for values in range 32...127). Check TOFPET2C ASIC guide.
name = opt.nameLabel
nloops = 1
t_ped_in_phys = 0. #s
sleep = 0
#
# xyz position of the starting position of the arrays for alignment scan
dict_array_x_y_z = {
0: np.array([70.7, 44.0, 23.]),
1: np.array([73.0, 139.4, 23.]),
2: np.array([216.1, 138.3, 23.]),
3: np.array([215.1, 42.5, 23.]),
}
########################
#Scan for array
########################
dict_Scan = {
#POSITION SCAN: X
0: [np.array([-15., 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
1: [np.array([-12., 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
2: [np.array([-9., 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
3: [np.array([-6., 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
4: [np.array([-4., 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
5: [np.array([-2., 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
6: [np.array([-1., 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
7: [np.array([-0.5, 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
8: [np.array([0., 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
9: [np.array([0.5, 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
10: [np.array([1, 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
11: [np.array([2, 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
12: [np.array([4, 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
13: [np.array([6, 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
14: [np.array([9, 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
15: [np.array([12, 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
16: [np.array([15, 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
#POSITION SCAN: Y
17: [np.array([0., -15., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
18: [np.array([0., -12., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
19: [np.array([0., -9., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
20: [np.array([0., -6., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
21: [np.array([0., -4., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
22: [np.array([0., -2., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
23: [np.array([0., -1., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
24: [np.array([0., -0.5, 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
25: [np.array([0., 0., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
26: [np.array([0., 0.5, 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
27: [np.array([0., 1., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
28: [np.array([0., 2., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
29: [np.array([0., 4., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
30: [np.array([0., 6., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
31: [np.array([0., 9., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
32: [np.array([0., 12., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
33: [np.array([0., 15., 0.]),channelList,energyThrList,t1ThrList,nloops,sleep],
}
#print "Scan" , dict_Scan
###################################################################
########################### Run DAQ ###############################
###################################################################
#
aMover=XYZMover(8820)
print (aMover.estimatedPosition())
aMover.lightsOff()
for iarr,arr in enumerate(cfileNames):
print ""
print "=== Run daq for array ", iarr
print arr
# if iarr != 0:
# continue
#if iarr==0 or iarr==1:
# continue
# edit dictionary with position of current array
dict_Scan_current = copy.deepcopy(dict_Scan)
for kStep, kInfo in dict_Scan.items():
posModifier = dict_Scan[kStep][0]
dict_Scan_current[kStep][0] = dict_array_x_y_z[iarr] + posModifier
dict_Scan_current[kStep][0] = dict_Scan_current[kStep][0].round(1)
#print dict_Scan_current
# run sequence
for ov in ov_values:
for ovref in ovref_values:
for gate in gate_values:
for kStep, kInfo in dict_Scan_current.items():
print "++++ Centering Bar: "+str(kStep)+": X="+str(kInfo[0][0])+" Y="+str(kInfo[0][1])+" Z="+str(kInfo[0][2])+" Channels="+str(kInfo[1])+" +++++"
print aMover.moveAbsoluteXYZ(kInfo[0][0],kInfo[0][1],kInfo[0][2])
if ( aMover.moveAbsoluteXYZ(kInfo[0][0],kInfo[0][1],kInfo[0][2]) is "error"):
print "== Out of range: skipping this position =="
continue
print aMover.estimatedPosition()
print "++++ Done +++++"
#=== file name
thisname = name+"_ANUM"+str(iarr)+"_POS"+str(kStep)+"_X"+str(kInfo[0][0])+"_Y"+str(kInfo[0][1])+"_Z"+str(kInfo[0][2])
print(thisname)
#============================================
#RUN(arr,"PED",t_ped,ov,ovref,gate,thisname,kInfo[1],"","",kInfo[4],kInfo[5],0.)
RUN(arr,"PHYS",t_phys,ov,ovref,gate,thisname,kInfo[1],kInfo[2],kInfo[3],kInfo[4],kInfo[5],t_ped_in_phys)
#RUN(arr,"PED",t_ped,ov,ovref,gate,thisname,kInfo[1],"","",kInfo[4],kInfo[5],0.)
#============================================
print "Moving back to home..."
aMover.home()
print aMover.estimatedPosition()
print "++++ Run completed +++++"