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makeMassiFile.py
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makeMassiFile.py
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#! /usr/bin/env python
# take fill lumi files as input and convert them to condensed run lumi files
import numpy
import time
import glob
import os
import copy
def getArgs() :
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-f", "--fill", type=int, help="Fill number")
parser.add_argument("-c", "--currentThreshold", type=float, default = 5.e8, help="Single bunch current threshold in number of protons.")
parser.add_argument("--currentProduct", type=float, default = 1.e20, help="Single bunch current product in number of protons**2.")
parser.add_argument("-p","--printLevel", type=int, help="Print level")
parser.add_argument("-d","--massiDir",default = '.',help="Directory where files are stored.")
parser.add_argument("-n","--normalize",action='store_true',help="Normalize to separate byls file.")
return parser.parse_args()
def openOutputFiles(fill) :
fError = open('{0:s}/logs/Fill{1:d}_errors.txt'.format(massiDir,fill),'w')
# make a directory for this fill
dir = "{0:s}/filldata/{1:d}".format(massiDir,fill)
try:
os.stat(dir)
except:
os.mkdir(dir)
#open various output files
lumiAverageFileName = "{0:s}/{1:d}_lumi_CMS.txt".format(dir,fill)
fAverage = open(lumiAverageFileName,'w')
lumiSummaryFileName = "{0:s}/{1:d}_summary_CMS.txt".format(dir,fill)
fSummary = open(lumiSummaryFileName,'w')
if printLevel > 0 : print "Output files opened."
return dir, fError, fAverage, fSummary
def makeBeamDictionary(fill) :
beamDict = {}
currentThreshold = args.currentThreshold
masterPattern = numpy.zeros(3565,dtype=bool)
fName = '{0:s}/beam/Fill{1:d}_beam.csv'.format(args.massiDir,fill)
#4006,251857,112,1436980763,[1 1.2046e+11 0.0000e+00 3 1.2612e+11 0.0000e+00 5 1.0991e+11 0.0000e+00 7 1.1117e+11 0.0000e+00
nBX = 0
for line in open(fName,'r').readlines()[2:] :
vals = line.split(',')
runLS = "{0:s}:{1:04d}".format(vals[1],int(vals[2]))
BXvals = (vals[4].lstrip('[').rstrip(']')).split()
i1i2BX = numpy.zeros(3565)
for i in range(0,len(BXvals),3) :
i1 = float(BXvals[i+1])
i2 = float(BXvals[i+2].rstrip(']'))
if i1*i2 > args.currentProduct :
nBX += 1
i1i2BX[int(BXvals[i])] = i1*i2
masterPattern[int(BXvals[i])] = True
beamDict[runLS] = i1i2BX
if nBX <= 0 :
print("****\n****\n**** WARNING No active bunches found in beam current file.\n****\n****")
else :
nnBX = 0
for i in range(len(masterPattern)) :
if masterPattern[i] : nnBX += 1
print ("nnBX={0:d} active bunches found. N(BX x LS)={1:d} in beam current file.".format(nnBX,nBX))
return beamDict, masterPattern
def getLumiByLS(fill) :
fName = '{0:s}/lumi/Fill{1:d}_byls.csv'.format(args.massiDir,fill)
#run:fill,ls,time,beamstatus,E(GeV),delivered(/ub),recorded(/ub),avgpu,source
#262199:4638,59:59,11/20/15 12:04:26,FLAT TOP,2510,0.598,0.593,0.0,PLTZERO
totalInstLumi = {}
for line in open(fName,'r').readlines()[2:] :
if len(line) < 10 : continue
vals = line.split(',')
if len(vals) < 4 : continue
if vals[3] != 'STABLE BEAMS' : continue
LS = "{0:04d}".format(int(vals[1].split(':')[0]))
runLS = vals[0].split(':')[0] + ':' + LS
totalInstLumi[runLS] = float(vals[5])/LStime
return totalInstLumi
def normalizeLumiDictionary(fill,lumiDict, timeStampDict) :
totalInstLumi = getLumiByLS(fill)
for runLS in sorted(lumiDict.keys()) :
if runLS in totalInstLumi.keys() :
sumBX = numpy.sum(lumiDict[runLS])
#print("runLS={0:s} lumiDict[runLS][160:180]={1:s}".format(runLS,str(lumiDict[runLS][160:180])))
if sumBX > 0. :
scaleFactor = totalInstLumi[runLS]/sumBX
lumiDict[runLS] *= scaleFactor
#print("runLS={0:s} timeStamp={1:f} sumBX={2:.1f} totalInstLumi={3:.1f} scaleFactor={4:.3f}".format(
# runLS, timeStampDict[runLS], sumBX, totalInstLumi[runLS], scaleFactor))
return lumiDict
def makeLumiDictionary(fill) :
lumiDict, timeStampDict, LHCstatusDict = {}, {}, {}
fName = '{0:s}/lumi/Fill{1:d}_xing.csv'.format(args.massiDir,fill)
#260575:4562,1:1,1446413852,STABLE BEAMS,6500,96631.047,0.000,0.0,PLTZERO,[1 0.0105 0.0000 7 0.0105 0.0000 8 0.0105 0.0000 10 0.0105 . . .
for line in open(fName,'r').readlines()[2:] :
if len(line) < 70 : continue
vals = line.split(',')
LS = "{0:04d}".format(int(vals[1].split(':')[0]))
runLS = vals[0].split(':')[0] + ':' + LS
timeStampDict[runLS] = float(vals[2])
LHCstatusDict[runLS] = vals[3]
BXvals = (vals[9].lstrip('[').rstrip(']')).split()
lumiBX = numpy.zeros(3565)
if len(BXvals) > 1:
nnBX = 0
for i in range(0,len(BXvals),3) :
lumiBX[int(BXvals[i])] = float(BXvals[i+1])/LStime
if lumiBX[int(BXvals[i])] > 0.1 : nnBX += 1
lumiDict[runLS] = lumiBX
if args.normalize :
normalizedLumiDict = normalizeLumiDictionary(fill,lumiDict,timeStampDict)
return normalizedLumiDict, timeStampDict, LHCstatusDict
else :
return lumiDict, timeStampDict, LHCstatusDict
def getLumiThreshold(lumiBX) :
if len(lumiBX.keys()) == 0 : return 0.
maxLumi = 0.
for BX in lumiBX.keys() : maxLumi = max(lumiBX[BX],maxLumi)
return 0.05*maxLumi
def fixBXlumiList(BXlumiList) :
#unpack the dictionary into a standard array
temp = numpy.zeros(3565)
corr = numpy.zeros(3565)
for key in BXlumiList.keys() : temp[key] = BXlumiList[key]
shiftFraction = 0.5725 # fraction of lumi that is shifted by +1 BX
for i in range(len(temp)) :
if i==0 or temp[i-1] < 0.01 : # Leading/solo bunch, leave this alone
corr[i] = temp[i]
elif temp[i+1] < 0.01 : # Trailing bunch, shift this all into the previous BX
corr[i-1] += temp[i]
corr[i] = 0
else : # Train bunch, shift a fraction of this into the previous BX
corr[i-1] += temp[i]*shiftFraction
corr[i] = temp[i]*(1.-shiftFraction)
# load this back in to a dictionary
correctedList = {}
for i in range(len(corr)) :
if corr[i] > 0.01 :
correctedList[i] = corr[i]
return correctedList
def printMasterPattern(masterPattern) :
print "masterPattern="
nBX = 0
st1 = ""
for i in range(3565) :
if masterPattern[i] :
nBX += 1
st1 += "{0:5d}".format(i)
if nBX % 20 == 0 :
print st1
st1 = ""
print "{0:d} non-zero bunches total".format(nBX)
return nBX
#####################################################################################################################
#
# begin execution here
#
#####################################################################################################################
# General strategy
# 1) Make list of active BXes based on FBCT
# 2) Loop over these bunches
# In each case find an order set of runLS values
# Loop over the ordered list of runLS values
# Find the luminosity for that [runLS][BX] entry
LStime = 23.31
decimationFactor = 1 # report results for only every nth LS
args = getArgs()
printLevel = args.printLevel
massiDir = args.massiDir
fill = int(args.fill)
# open a directory for this fill
dir, fError, fAverage, fSummary = openOutputFiles(fill)
print ("dir={0:s} \nfError={1:s} \nfAverage={2:s} \nfSummary={3:s}".format(dir,fError.name,fAverage.name,fSummary.name))
beamDict, masterPattern = makeBeamDictionary(fill)
lumiDict, timeStampDict, LHCstatusDict = makeLumiDictionary(fill)
sortedRunLS = beamDict.keys()
sortedRunLS.sort()
if args.printLevel > 0 :
print "sortedRunLS (from beam)={0:s}".format(str(sortedRunLS))
print "lumiDict.keys() (from lumi)={0:s}".format(str(lumiDict.keys()))
nnBX = printMasterPattern(masterPattern)
print("******* in main program **********")
for runLS in sortedRunLS :
try :
sumBX = numpy.sum(lumiDict[runLS])
#print("runLS={0:s} timeStamp={1:.1f} {2:0.3f}".format(runLS, timeStampDict[runLS], sumBX))
except KeyError :
#print("KeyError in print loop runLS={0:s}".format(runLS))
pass
# start with summary file, which is based on byLS data only
# note that getLumiByLS() returns total instantaneous lumi
byLSLumi = getLumiByLS(fill)
startTime, endTime, totalLumi, peakLumi = 1.e12, 0., 0., 0.
for runLS in byLSLumi.keys() :
try :
startTime = min(startTime,timeStampDict[runLS])
endTime = max(endTime,timeStampDict[runLS])
totalLumi += LStime*byLSLumi[runLS]
peakLumi = max(peakLumi,byLSLumi[runLS])
except KeyError :
print ("KeyError for runLS={0:s}".format(runLS))
fSummary.write("{0:f} {1:f} {2:f} {3:f}".format(startTime,endTime+LStime,peakLumi,totalLumi))
print("start={0:.1f} stop={1:.1f} peak={2:.3f}Hz/ub totalLumi={3:.3f} /pb".format(
startTime,endTime+LStime,peakLumi,1.e-6*totalLumi))
fSummary.close()
# make the files for the individual bunches
beamThreshold = args.currentThreshold*args.currentThreshold
nBX, nRunLSBeam, nRunLSLumi = 0, 0, 0
nAverage,lumiAverage, specificLumiAverage = {}, {}, {}
checkRunLS, checkSum, nBXFiles = '274157:0104', 0. , 0
for iBX in range(3564) :
if masterPattern[iBX] :
if args.printLevel > -1 : print "iBX={0:d}".format(iBX)
lines = []
nBX += 1
for runLS in sortedRunLS :
nRunLSBeam += 1
if runLS in lumiDict.keys() :
if LHCstatusDict[runLS] == 'STABLE BEAMS' :
nRunLSLumi += 1
specificLumi = 0.
i1i2 = beamDict[runLS][iBX]
#if i1i2 < beamThreshold and lumiDict[runLS][iBX] > 0.1 :
# print("not active BX={0:d} runLS={1:s} lumiDict[runLS][iBX]={2:.3f}".format(iBX,runLS,lumiDict[runLS][iBX]))
if i1i2 > beamThreshold :
lumi = lumiDict[runLS][iBX]
if runLS == checkRunLS : checkSum += lumi
specificLumi = lumi/i1i2
lines.append("{0:.1f} 1.0 {1:f} {2:f} {3:e} {4:e}\n".format(timeStampDict[runLS],
lumi,0.025*lumi,specificLumi,0.025*specificLumi))
if not runLS in nAverage.keys() :
nAverage[runLS] = 1
lumiAverage[runLS] = lumi
specificLumiAverage[runLS] = specificLumi
else :
nAverage[runLS] += 1
lumiAverage[runLS] += lumi
specificLumiAverage[runLS] += specificLumi
else :
if args.printLevel > 1 :
print ("runLS {0:s} not in lumiDict.keys()".format(runLS))
if args.printLevel > 0 : print "iBX={0:4d} len(lines)={1:4d}".format(iBX,len(lines))
nBXFiles += 1
with open("{0:s}/filldata/{1:d}/{1:d}_lumi_{2:d}_CMS.txt".format(massiDir,fill,10*(iBX-1)+1),'w') as f:
f.writelines(lines)
print ("nBX={0:4d} nRunLSBeam={1:5d} nRunLSLumi={2:5d}".format(nBX,nRunLSBeam,nRunLSLumi))
print("checkRunLS={0:s} checkSum={1:.3f} nBXFiles={2:d}".format(checkRunLS, checkSum, nBXFiles))
# compute and print average values
lines = []
if args.printLevel > 0 :
print("nAverage.keys()={0:s}".format(str(nAverage.keys())))
for runLS in sortedRunLS :
if runLS in nAverage.keys() :
#lumiAverage[runLS] /= nAverage[runLS]
specificLumiAverage[runLS] /= nAverage[runLS]
line = "{0:.1f} 1.0 {1:f} {2:f} {3:e} {4:e}\n".format(timeStampDict[runLS],
lumiAverage[runLS],0.025*lumiAverage[runLS],specificLumiAverage[runLS],0.025*specificLumiAverage[runLS])
lines.append(line)
with open("{0:s}/filldata/{1:d}/{1:d}_lumi_CMS.txt".format(massiDir,fill),'w') as f:
f.writelines(lines)