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lumi_web.py
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#!/usr/bin/env python
import sys,ConfigParser,os,string,commands,time,xmlrpclib
from operator import itemgetter
from optparse import OptionParser
from array import array
import json, csv
import analoss
import os
from rrapi import RRApi, RRApiError
SCENS=[
('DQM: all, DCS: all on','default','default'),
('DQM: none, DCS: all on','NONE:NONE','default'),
('DQM: none, DCS: none','NONE:NONE','NONE'),
('DQM: none, DCS: Strip on','NONE:NONE','Tibtid,TecM,TecP,Tob'),
('DQM: none, DCS: Pix on','NONE:NONE','Bpix,Fpix'),
('DQM: none, DCS: Ecal on','NONE:NONE','Ebm,Ebp,EeM,EeP'),
('DQM: none, DCS: Es on','NONE:NONE','EsM,EsP'),
('DQM: none, DCS: HCAL on','NONE:NONE','HbheA,HbheB,HbheC,Hf,Ho'),
('DQM: none, DCS: Dt on','NONE:NONE','Dtm,Dtp,Dt0'),
('DQM: none, DCS: Csc on','NONE:NONE','CscM,CscP'),
('DQM: none, DCS: Rpc on','NONE:NONE','Rpc'),
('DQM: Muon, DCS: none','Muon:GOOD','NONE'),
('DQM: Jmet, DCS: none','Jetmet:GOOD','NONE'),
('DQM: Egam, DCS: none','Egamma:GOOD','NONE'),
('DQM: Track, DCS: none','Track:GOOD','NONE'),
('DQM: Rpc, DCS: Rpc','Rpc:GOOD','Rpc'),
('DQM: Csc, DCS: Csc','Csc:GOOD','CscM,CscP'),
('DQM: Dt, DCS: Dt','Dt:GOOD','Dtm,Dtp,Dt0'),
('DQM: Hcal, DCS: Hcal','Hcal:GOOD','HbheA,HbheB,HbheC,Hf,Ho'),
('DQM: Ecal, DCS: Ecal','Ecal:GOOD','Ebm,Ebp,EeM,EeP'),
('DQM: Es, DCS: Es','Es:GOOD','EsM,EsP'),
('DQM: Strip, DCS: Strip','Strip:GOOD','Tibtid,TecM,TecP,Tob'),
('DQM: Pix, DCS: Pix','Pix:GOOD','Bpix,Fpix'),
('DQM: Hlt, DCS: none','Hlt:GOOD','NONE'),
('DQM: L1t, DCS: none','L1t:GOOD','NONE'),
('DQM: Lumi, DCS: none','Lumi:GOOD','NONE'),
('DQM: e+trk, DCS: e+trk','L1t:GOOD,Hlt:GOOD,Pix:GOOD,Strip:GOOD,Ecal:GOOD,Es:GOOD,Track:GOOD,Egamma:GOOD,Lumi:GOOD','Bpix,Fpix,Tibtid,TecM,TecP,Tob,Ebm,Ebp,EeM,EeP,EsM,EsP'),
('DQM: cal+trk, DCS: cal+trk','L1t:GOOD,Hlt:GOOD,Pix:GOOD,Strip:GOOD,Ecal:GOOD,Hcal:GOOD,Es:GOOD,Track:GOOD,Egamma:GOOD,Jetmet:GOOD,Lumi:GOOD','Bpix,Fpix,Tibtid,TecM,TecP,Tob,Ebm,Ebp,EeM,EeP,EsM,EsP,HbheA,HbheB,HbheC,Hf,Ho'),
('DQM: muon phys, DCS: muon phys','L1tmu:GOOD,Hlt:GOOD,Pix:GOOD,Strip:GOOD,Dt:GOOD,Rpc:GOOD,Csc:GOOD,Track:GOOD,Muon:GOOD,Lumi:GOOD','Bpix,Fpix,Tibtid,TecM,TecP,Tob,Dtm,Dtp,Dt0,CscM,CscP,Rpc'),
('DQM: 9 subsystem ON but NOT Hlt, DCS: default','L1t:GOOD,Pix:GOOD,Strip:GOOD,Ecal:GOOD,Hcal:GOOD,Dt:GOOD,Rpc:GOOD,Es:GOOD,Csc:GOOD','default'),
('DQM: 9 subsystem ON but NOT L1t, DCS: default','Hlt:GOOD,Pix:GOOD,Strip:GOOD,Ecal:GOOD,Hcal:GOOD,Dt:GOOD,Rpc:GOOD,Es:GOOD,Csc:GOOD','default'),
('DQM: 9 subsystem ON but NOT Pix, DCS: default','L1t:GOOD,Hlt:GOOD,Strip:GOOD,Ecal:GOOD,Hcal:GOOD,Dt:GOOD,Rpc:GOOD,Es:GOOD,Csc:GOOD','default'),
('DQM: 9 subsystem ON but NOT Strip, DCS: default','L1t:GOOD,Hlt:GOOD,Pix:GOOD,Ecal:GOOD,Hcal:GOOD,Dt:GOOD,Rpc:GOOD,Es:GOOD,Csc:GOOD','default'),
('DQM: 9 subsystem ON but NOT Ecal, DCS: default','L1t:GOOD,Hlt:GOOD,Pix:GOOD,Strip:GOOD,Hcal:GOOD,Dt:GOOD,Rpc:GOOD,Es:GOOD,Csc:GOOD','default'),
('DQM: 9 subsystem ON but NOT Es, DCS: default','L1t:GOOD,Hlt:GOOD,Pix:GOOD,Strip:GOOD,Hcal:GOOD,Dt:GOOD,Rpc:GOOD,Ecal:GOOD,Csc:GOOD','default'),
('DQM: 9 subsystem ON but NOT Hcal, DCS: default','L1t:GOOD,Hlt:GOOD,Pix:GOOD,Strip:GOOD,Ecal:GOOD,Dt:GOOD,Rpc:GOOD,Es:GOOD,Csc:GOOD','default'),
('DQM: 9 subsystem ON but NOT Dt, DCS: default','L1t:GOOD,Hlt:GOOD,Pix:GOOD,Strip:GOOD,Ecal:GOOD,Hcal:GOOD,Rpc:GOOD,Es:GOOD,Csc:GOOD','default'),
('DQM: 9 subsystem ON but NOT CSC, DCS: default','L1t:GOOD,Hlt:GOOD,Pix:GOOD,Strip:GOOD,Ecal:GOOD,Hcal:GOOD,Dt:GOOD,Rpc:GOOD,Es:GOOD','default'),
('DQM: 9 subsystem ON but NOT RPC, DCS: default','L1t:GOOD,Hlt:GOOD,Pix:GOOD,Strip:GOOD,Ecal:GOOD,Hcal:GOOD,Dt:GOOD,Es:GOOD,Csc:GOOD','default')
]
REL_LOSS=[[28,0],[29,0],[30,0],[31,0],[32,0],[33,0],[34,0],[35,0], [36,0], [37,0]]
REL_LOSS_VAL=[]
QF_ALL_SYS=["Muon","Jetmet","Egamma","Tracker","Rpc","Csc","Dt","Hcal","Ecal","Es","Strip","Pix","Hlt","L1t","Lumi"]
DCS_ALL=['Bpix','Fpix','Tibtid','TecM','TecP','Tob','Ebm','Ebp','EeM','EeP','EsM','EsP','HbheA','HbheB','HbheC','Hf','Ho','Dtm','Dtp','Dt0','CscM','CscP','Rpc',"NONE"]
HTMLDIR=""
LUMICACHE=""
CERT_DIR=""
RUN_DATA=''
DEF_CFG=''
LUMI_CSV=''
LUMI_RESET=False
GLOB=False
KEEPRUNRANGE=False
NEW_DATASET_ALL=""
DEF_QF=''
DEF_DCS=''
RUN_TIME_ALL={}
RUN_TIME={}
RUN_TIME_00={}
CONFIG = ConfigParser.ConfigParser()
REPORT={}
JSONLIST=[]
TAG_NAME=[]
TOTLUMIDELIV={}
TOTLUMI={}
TOTLUMIACC={}
TOTLUMIDELIV_LW={}
TOTLUMI_LW={}
TOTLUMIACC_LW={}
TOTLUMIDELIV_NR={}
TOTLUMI_NR={}
TOTLUMIACC_NR={}
lumi_deliv={}
lumi_deliv_ov={}
lumi={}
RUNMIN=0
RUNMAX=0
RUNMINCFG=0
RUNNEWCFG=0
RUNMAXCFG=0
plot_type=[]
plot_xtype=[]
plot_xrange=[]
ultimate_date=''
verbosityLevel = False
def produce_json(SC,QF,DCS):
global KEEPRUNRANGE,NEW_DATASET_ALL
global RUNMINCFG,RUNNEWCFG,RUNMAXCFG
JSON_ADD=str(SC)
JSON_OUT="json_"+JSON_ADD+".txt"
CONFIG.set("Common","jsonfile",JSON_OUT)
CONFIG.set("Common","qflags", QF)
CONFIG.set("Common","dcs",DCS)
if not KEEPRUNRANGE:
CONFIG.set("Common","runmax","999999")
RUNMINCFG=CONFIG.get("Common","runmin")
RUNNEWCFG=CONFIG.get("Common","runnew")
RUNMAXCFG=CONFIG.get("Common","runmax")
DATASET_ALL=CONFIG.get("Common","dataset")
DS_RUNMIN=[]
DS_RUNMAX=[]
DS_LIST=[]
DATASETS=DATASET_ALL.split()
for DS in DATASETS:
DS_TEMP=DS.split(":")
if len(DS_TEMP)==2:
dsname=DS_TEMP[0]
dsmin=DS_TEMP[1].split("-")[0]
dsmax=DS_TEMP[1].split("-")[1]
DS_LIST.append(dsname)
DS_RUNMIN.append(dsmin)
DS_RUNMAX.append(dsmax)
elif len(DS_TEMP)==1:
DS_LIST.append(DS)
DS_RUNMIN.append(RUNMINCFG)
DS_RUNMAX.append(RUNMAXCFG)
else:
print "Dataset in cfg not understood"
sys.exit(1)
NEW_DATASET_ALL=DATASET_ALL
if not KEEPRUNRANGE:
NEW_DATASET_ALL=""
for DSindex in range(0,len(DS_LIST)):
if DSindex==len(DS_LIST)-1:
DS_RUNMAX[DSindex]="999999"
NEW_DATASET_ALL+=DS_LIST[DSindex]+":"+DS_RUNMIN[DSindex]+"-"+DS_RUNMAX[DSindex]+" "
CONFIG.set("Common","dataset",NEW_DATASET_ALL)
CURR_CFG = "json_" + JSON_ADD + ".cfg"
CURR_CFG_FP=open(CURR_CFG,'wb')
CONFIG.write(CURR_CFG_FP)
CURR_CFG_FP.close()
LOGFILE="json_"+JSON_ADD+".log"
COMMAND="python dataCert.py "+CURR_CFG+" > "+LOGFILE
if verbosityLevel:
print "======================================================================================"
print "Producing scenario:",SC
print " QFLAGS:",QF
print " DCS:",DCS
print " JSON:",JSON_OUT
print " command:",COMMAND
print "======================================================================================"
list=[QF,DCS,JSON_OUT]
REPORT[SC]=list
os.system(COMMAND)
return JSON_OUT
def readlumi():
global lumi,LUMI_CSV
global TAG_NAME
lumi_list_csv = open(LUMI_CSV,'rb')
for i in range(5):
lumi_list_csv.next()
lumi_dict = csv.DictReader(lumi_list_csv,delimiter=',',fieldnames=['Run','LS','HFC','VTXC','HFL','VTXL'])
for l in lumi_dict:
kw="%d_%d" % (int(l['Run']),int(l['LS']))
lumi[kw]=float(l['VTXL'])
lumi_list_csv.close()
def readlumi_db():
global lumi,lumi_deliv,lumi_deliv_ov,LUMI_RESET,LUMI_CACHE
global RUN_TIME_ALL
runlist=RUN_TIME_ALL.keys()
runlist.sort()
runmaxincache=-1
if not LUMI_RESET:
if os.path.exists(LUMICACHE):
if verbosityLevel: print "opening lumicache"
f=open(LUMICACHE,'r')
for line in f:
column=line.split()
key=column[0]
if len(column)==4:
lumi_deliv[key]=float(column[1])
lumi[key]=float(column[2])
lumi_deliv_ov[key]=float(column[3])
runno=key.split('_')[0]
if int(runno)>runmaxincache:
if runno.strip() in runlist:
runmaxincache=int(runno)
f.close()
else:
if verbosityLevel: print "Lumicache file not existing....recreating it from scratch"
LUMI_RESET=True
if verbosityLevel: print "Maximum run number in local cache: ",runmaxincache
curr_time=time.time()
if verbosityLevel: print runlist
for runno in runlist:
if runno.isdigit():
if not LUMI_RESET and runmaxincache!=-1:
if RUN_TIME_ALL[runno]<(RUN_TIME_ALL[str(runmaxincache)]-86400*2):
continue
try:
if verbosityLevel: print "Accessing LumiDB for run: "+runno
lumitable=commands.getoutput("lumiCalc2.py lumibyls -r "+runno+" -b stable -o stdout")
lumitable_overview=commands.getoutput("lumiCalc2.py overview -r "+runno+" -b stable -o stdout")
except:
print "Problem in accessing lumidb for run:"+runno
tmplumi_deliv=0.
for line in lumitable_overview.split("\n"):
if 'Run' in line or '*' in line:
continue
try:
thelist=eval(line)
except:
print "ERROR 1: something wrong in lumicalc overview line, skipping it:"
print line
continue
if len(thelist)==5 :
if ':' in str(thelist[0]):
if int(thelist[0].split(':')[0])==int(runno):
tmplumi_deliv=thelist[2]
else:
print "ERROR 2: something wrong in lumicalc overview line, skipping it:"
print line
continue
firstls=True
for line in lumitable.split("\n"):
if 'Run' in line or '*' in line:
continue
try:
thelist=eval(line)
except:
if verbosityLevel :
print "ERROR 1: something wrong in lumicalc lumibyls line, skipping it:"
print line
continue
if len(thelist)==8:
lsrange=thelist[1].split(":")
if str(thelist[6]).find("n/a") == -1:
try:
this_run=thelist[0].split(":")[0]
# this_run=thelist[0]
this_ls=int(lsrange[0])
this_recorded=float(thelist[6])
this_delivered=float(thelist[5])
except:
if verbosityLevel :
print "ERROR 2: something wrong in lumicalc lumibyls line, skipping it:"
print line
continue
else:
if verbosityLevel: print "No recorded lumi from Lumi-DB"
if int(this_run)!=int(runno):
print "ERROR: wrong run in lumi output, skipping this line"
kw="%d_%d" % (int(this_run),int(lsrange[0]))
lumi[kw]=thelist[6]
lumi_deliv[kw]=thelist[5]
if firstls:
lumi_deliv_ov[kw]=tmplumi_deliv
firstls=False
else:
lumi_deliv_ov[kw]=0.
else:
if verbosityLevel :
print "ERROR 3: something wrong in lumicalc lumibyls line, skipping it:"
print line
continue
keylist=lumi.keys()
keylist.sort()
f=open(LUMICACHE,'w')
for key in keylist:
f.write(key+" "+str(lumi_deliv[key])+" "+str(lumi[key])+" "+str(lumi_deliv_ov[key])+"\n")
f.close()
def makeplot(cur):
from ROOT import TCanvas,TGraph,gStyle,gROOT,TH1F,TLatex
global TOTLUMI,TOTLUMIACC,TOTLUMI_LW,TOTLUMIACC_LW,TOTLUMI_NR,TOTLUMIACC_NR
global TOTLUMIDELIV,TOTLUMIDELIV_LW,TOTLUMIDELIV_NR
global RUNMIN,RUNMAX
global LUMI_CSV
global lumi,lumi_deliv,lumi_deliv_ov
global plot_type,plot_xtype,plot_xrange
global ultimate_date
kTRUE=True
plot_type=['lumi','loss']
plot_xtype=['run','time']
plot_xrange=['tot','lastweek','new']
gROOT.ProcessLine("gErrorIgnoreLevel = 5000;")
if verbosityLevel:
print " "
print "Producing plot for scenario:",cur
print TAG_NAME[cur]
gROOT.ProcessLine("gErrorIgnoreLevel = 1000;")
gROOT.SetBatch(True)
repref=REPORT[len(JSONLIST)-1]
repcur=REPORT[cur]
lumi_json_ref=file(repref[2],'r')
json_ref=json.load(lumi_json_ref)
my_lumi_json=file(repcur[2],'r')
my_lumi_dict = json.load(my_lumi_json)
RUNMIN_JSON=999999
RUNMAX_JSON=0
for run in my_lumi_dict.keys():
if int(run)>RUNMAX_JSON:
RUNMAX_JSON=int(run)
if int(run)<RUNMIN_JSON:
RUNMIN_JSON=int(run)
if verbosityLevel: print "Run Range in JSON file:",RUNMIN_JSON,"-",RUNMAX_JSON
RUNMIN=999999
RUNMAX=0
runlist_rr=RUN_TIME.keys()
runlist_rr.sort()
RUNMIN=int(runlist_rr[0])
RUNMAX=int(runlist_rr[len(runlist_rr)-1])
if verbosityLevel: print "Run Range in Run Registry:",RUNMIN,"-",RUNMAX
RUNMIN_LUMI=999999
RUNMAX_LUMI=0
for l in lumi:
str_run=l.split('_')[0]
str_run=str_run.strip()
str_ls=l.split('_')[1]
str_ls=str_ls.strip()
curr_run=int(str_run)
if curr_run<RUNMIN_LUMI:
RUNMIN_LUMI=curr_run
if curr_run>RUNMAX_LUMI:
RUNMAX_LUMI=curr_run
if verbosityLevel: print "Run Range in LUMI file:",RUNMIN_LUMI,"-",RUNMAX_LUMI
if RUNMIN_LUMI>RUNMIN:
if verbosityLevel:
print "WARNING!: min run number in lumi file is BIGGER than min run number in RR"
print "WARNING!: setting RUNMIN to the one from lumi file:",RUNMIN_LUMI
RUNMIN=RUNMIN_LUMI
if RUNMAX_LUMI<RUNMAX:
if verbosityLevel:
print "WARNING!: max run number in lumi file is SMALLER than max run number in RR"
print "WARNING!: setting RUNMAX to the one from lumi file:",RUNMAX_LUMI
RUNMAX=RUNMAX_LUMI
delivlumiinrun={}
reclumiinrun={}
acclumiinrun={}
tot_rec=1e-30
tot_rec_lw=1e-30
tot_rec_nr=1e-30
tot_deliv=1e-30
tot_deliv_lw=1e-30
tot_deliv_nr=1e-30
lastrun_time=RUN_TIME[str(RUNMAX)]
coeff=4.29e28
if LUMI_CSV=='none':
coeff=1.
firstrun_lw=999999
firstrun_nr=999999
for l in lumi:
str_run=l.split('_')[0]
str_run=str_run.strip()
str_ls=l.split('_')[1]
str_ls=str_ls.strip()
curr_run=int(str_run)
if int(str_run)>=RUNMIN and int(str_run)<=RUNMAX and str_run in RUN_TIME.keys():
tot_rec+=lumi[l]
tot_deliv+=lumi_deliv_ov[l]
if RUN_TIME[str_run]>(lastrun_time-86400*7):
tot_rec_lw+=lumi[l]
tot_deliv_lw+=lumi_deliv_ov[l]
if int(str_run)<firstrun_lw:
firstrun_lw=int(str_run)
if int(str_run)>=int(RUNNEWCFG):
tot_rec_nr+=lumi[l]
tot_deliv_nr+=lumi_deliv_ov[l]
if int(str_run)<firstrun_nr:
firstrun_nr=int(str_run)
if str_run in reclumiinrun.keys():
reclumiinrun[str_run]+=lumi[l]/coeff/1e+6
delivlumiinrun[str_run]+=lumi_deliv_ov[l]/coeff/1e+6
else:
reclumiinrun[str_run]=lumi[l]/coeff/1e+6
delivlumiinrun[str_run]=lumi_deliv_ov[l]/coeff/1e+6
tot=1e-30
tot_lw=1e-30
tot_nr=1e-30
for k, v in my_lumi_dict.items():
for lumis in v:
if type(lumis) == type([]) and len(lumis) == 2:
for i in range(lumis[0], lumis[1] + 1):
kw="%d_%d" % (int(k),int(i))
if kw in lumi:
tot+=lumi[kw]
str_run=str(k).strip()
if RUN_TIME[str_run]>(lastrun_time-86400*7):
tot_lw+=lumi[kw]
if int(str_run)>=int(RUNNEWCFG):
tot_nr+=lumi[kw]
if str_run in acclumiinrun.keys():
acclumiinrun[str_run]+=lumi[kw]/coeff/1e+6
else:
acclumiinrun[str_run]=lumi[kw]/coeff/1e+6
ll = tot / coeff
ll_rec = tot_rec/coeff
ll_deliv = tot_deliv/coeff
ll_lw = tot_lw / coeff
ll_rec_lw = tot_rec_lw/coeff
ll_deliv_lw = tot_deliv_lw/coeff
ll_nr = tot_nr / coeff
ll_rec_nr = tot_rec_nr/coeff
ll_deliv_nr = tot_deliv_nr/coeff
if verbosityLevel:
print "In the run range:",RUNMIN,"-",RUNMAX
print "Delivered luminosity: %2.2f /pb" % (ll_deliv/1e+6)
print "Recorded luminosity: %2.2f /pb" % (ll_rec/1e+6)
print "Certified luminosity: %2.2f /pb" % (ll/1e+6)
print "Rejected luminosity: %2.2f /pb" % ((ll_rec-ll)/1e+6)
print "Efficiency of certified luminosity: %2.2f%%" % (100.*ll/ll_rec)
print "Delivered luminosity last week: %2.2f /pb" % (ll_deliv_lw/1e+6)
print "Recorded luminosity last week: %2.2f /pb" % (ll_rec_lw/1e+6)
print "Certified luminosity last week: %2.2f /pb" % (ll_lw/1e+6)
print "Rejected luminosity last week: %2.2f /pb" % ((ll_rec_lw-ll_lw)/1e+6)
print "Efficiency of certified luminosity last week: %2.2f%%" % (100.*ll_lw/ll_rec_lw)
print "Delivered luminosity new runs: %2.2f /pb" % (ll_deliv_nr/1e+6)
print "Recorded luminosity new runs: %2.2f /pb" % (ll_rec_nr/1e+6)
print "Certified luminosity new runs: %2.2f /pb" % (ll_nr/1e+6)
print "Rejected luminosity new runs: %2.2f /pb" % ((ll_rec_nr-ll_nr)/1e+6)
print "Efficiency of certified luminosity new runs: %2.2f%%" % (100.*ll_nr/ll_rec_nr)
TOTLUMIACC[cur]=ll
TOTLUMI[cur]=ll_rec
TOTLUMIDELIV[cur]=ll_deliv
TOTLUMIACC_LW[cur]=ll_lw
TOTLUMI_LW[cur]=ll_rec_lw
TOTLUMIDELIV_LW[cur]=ll_deliv_lw
TOTLUMIACC_NR[cur]=ll_nr
TOTLUMI_NR[cur]=ll_rec_nr
TOTLUMIDELIV_NR[cur]=ll_deliv_nr
c_rec={}
c_acc={}
c_deliv={}
c_rec_diff={}
c_acc_diff={}
c_deliv_diff={}
c_rec_curr=0.
c_acc_curr=0.
c_deliv_curr=0.
listofrun=[]
for run in reclumiinrun.keys():
listofrun.append(int(run))
listofrun.sort()
for runno in listofrun:
run=str(runno)
c_rec_curr+=reclumiinrun[run]
c_rec[run]=c_rec_curr
c_rec_diff[run]=reclumiinrun[run]
c_deliv_curr+=delivlumiinrun[run]
c_deliv[run]=c_deliv_curr
c_deliv_diff[run]=delivlumiinrun[run]
if run in acclumiinrun.keys():
c_acc_curr+=acclumiinrun[run]
c_acc_diff[run]=acclumiinrun[run]
else:
c_acc_diff[run]=0.
c_acc[run]=c_acc_curr
for p_type in plot_type:
for p_xtype in plot_xtype:
for p_xrange in plot_xrange:
x=array('d')
y1=array('d')
y2=array('d')
y3=array('d')
label=[]
numpoint=0
ymax=0.0001
ymin=0.0
b_y1=0.0
b_y2=0.0
b_y3=0.0
rec_lumi=0.
acc_lumi=0.
deliv_lumi=0.
for runno in listofrun:
last_rec_lumi=rec_lumi
last_acc_lumi=acc_lumi
last_deliv_lumi=deliv_lumi
rec_lumi=c_rec[str(runno)]
acc_lumi=c_acc[str(runno)]
deliv_lumi=c_deliv[str(runno)]
if "lastweek" in p_xrange:
if runno<firstrun_lw:
continue
if "new" in p_xrange:
if runno<firstrun_nr:
continue
if 'run' in p_xtype:
x.append(numpoint+0.5)
label.append(str(runno))
elif 'time' in p_xtype:
x.append(RUN_TIME[str(runno)])
if 'lumi' in p_type:
y1.append(rec_lumi)
y2.append(acc_lumi)
y3.append(deliv_lumi)
if "lastweek" in p_xrange or "new" in p_xrange:
if len(y1)==1:
b_y1=last_rec_lumi
b_y2=last_acc_lumi
b_y3=last_deliv_lumi
y1[len(y1)-1]-=b_y1
y2[len(y1)-1]-=b_y2
y3[len(y1)-1]-=b_y3
if deliv_lumi>ymax:
ymax=y3[len(y1)-1]
elif 'loss' in p_type:
loss=c_acc_diff[str(runno)]-c_rec_diff[str(runno)]
y1.append(loss)
if loss < ymin:
ymin=loss
numpoint+=1
# Calculate relevant times
if "lastweek" in p_xrange:
time_day_min=RUN_TIME_00[str(firstrun_lw)]
elif "new" in p_xrange:
time_day_min=RUN_TIME_00[str(firstrun_nr)]
elif "tot" in p_xrange:
time_day_min=RUN_TIME_00[str(listofrun[0])]
time_day_max=RUN_TIME_00[str(listofrun[len(listofrun)-1])]
numdays = int(time_day_max-time_day_min+2*86400)/86400
timehistomin=time_day_min
timehistomax=numdays*86400+timehistomin
name=''
title=''
xlabel=''
ylabel=''
nbin=0
xlow=0
xhigh=0
if 'lumi' in p_type:
name="IntegratedLuminosity"
ylabel="L_{int} (pb^{-1})"
if 'loss' in p_type:
name="LossOfIntegratedLuminosity"
ylabel="L_{int} (pb^{-1})"
if 'run' in p_xtype:
xlabel="Run"
nbin=numpoint
xlow=0
xhigh=numpoint
if 'time' in p_xtype:
xlabel="Date"
nbin=numdays
xlow=0
xhigh=numdays
plot= TH1F(name,title+";"+xlabel+";"+ylabel,nbin,xlow,xhigh)
# Set Labels for the histograms
labelx=''
labelstep = nbin // 10
if labelstep == 0:
labelstep = 1
for ibin in range(0,nbin):
if 'run' in p_xtype:
labelx=label[ibin]
elif 'time' in p_xtype:
labelx=time.strftime("%d %b",time.localtime(timehistomin+(ibin*86400)))
plot.GetXaxis().SetBinLabel(ibin+1,labelx)
# Set Ultimate Date
ultimate_date=labelx=time.strftime("%d %b",time.localtime(time_day_max))
if 'time' in p_xtype:
for point in range(0,int(numpoint)):
x[point]=(x[point]-timehistomin)/86400.
gr1=TGraph(int(numpoint),x,y1)
gr1.SetMarkerColor(2)
gr1.SetMarkerStyle(20)
gr1.SetMarkerSize(0.8)
if 'lumi' in p_type:
gr2=TGraph(int(numpoint),x,y2)
gr2.SetMarkerColor(4)
gr2.SetMarkerStyle(20)
gr2.SetMarkerSize(0.8)
gr3=TGraph(int(numpoint),x,y3)
gr3.SetMarkerColor(1)
gr3.SetMarkerStyle(20)
gr3.SetMarkerSize(0.8)
if 'run' in p_xtype:
gr1.SetTitle("Luminosity vs. run number")
gr2.SetTitle("Luminosity vs. run number")
gr3.SetTitle("Luminosity vs. run number")
elif 'time' in p_xtype:
gr1.SetTitle("Luminosity vs. time")
gr2.SetTitle("Luminosity vs. time")
gr3.SetTitle("Luminosity vs. time")
elif 'loss' in p_type:
if 'run' in p_xtype:
gr1.SetTitle("Luminosity loss vs. run number")
elif 'time' in p_xtype:
gr1.SetTitle("Luminosity loss vs. time")
gStyle.SetOptStat(0)
gStyle.SetOptFit(0)
plot.LabelsOption("v","X")
plot.SetMaximum(ymax*1.05)
plot.SetMinimum(ymin*1.05)
plot.SetTitleOffset(2.,"X")
plot.SetTitleOffset(2.,"Y")
# Format the Canvas
c1 = TCanvas("c1","c1",800,600)
c1.SetBottomMargin(0.2)
c1.SetLeftMargin(0.2)
c1.SetFillColor(0)
plot.SetFillColor(0)
plot.Draw()
gr1.Draw("PL")
if "lumi" in p_type:
lumitext="Recorded: "
lumiacctext="Certified: "
lumidelivtext="Delivered: "
legendtext = ""
if "lastweek" in p_xrange:
legendtext ="#splitline{pp Collisions12}{Last week's runs"
lumitext +="%2.2f fb^{-1}" % (TOTLUMI_LW[cur]/1e+9)
lumiacctext +="%2.2f fb^{-1}" % (TOTLUMIACC_LW[cur]/1e+9)
lumidelivtext+="%2.2f fb^{-1}" % (TOTLUMIDELIV_LW[cur]/1e+9)
elif "new" in p_xrange:
legendtext ="#splitline{pp Collisions12}{New runs"
lumitext +="%2.2f fb-1" % (TOTLUMI_NR[cur]/1e+9)
lumiacctext +="%2.2f fb-1" % (TOTLUMIACC_NR[cur]/1e+9)
lumidelivtext+="%2.2f fb-1" % (TOTLUMIDELIV_NR[cur]/1e+9)
elif "tot" in p_xrange:
legendtext ="#splitline{pp Collisions12}{All runs"
lumitext +="%2.1f fb^{-1}" % (TOTLUMI[cur]/1e+9)
lumiacctext +="%2.1f fb^{-1}" % (TOTLUMIACC[cur]/1e+9)
lumidelivtext+="%2.1f fb^{-1}" % (TOTLUMIDELIV[cur]/1e+9)
xcoord = 0.25
ycoord = 0.82
tex0 = TLatex(xcoord,ycoord,"CMS preliminary 2012")
tex0.SetNDC(kTRUE)
tex0.SetTextSize(0.03)
tex0.SetTextColor(1)
tex0.SetLineWidth(2)
tex0.Draw()
ycoord -= 0.04
tex0a = TLatex(xcoord,ycoord,"Integrated luminosity")
tex0a.SetNDC(kTRUE)
tex0a.SetTextSize(0.04)
tex0a.SetTextColor(1)
tex0a.SetLineWidth(2)
tex0a.Draw()
if 'tot' in p_xrange:
legendtext +=" until %s 2012}"%(ultimate_date)
else:
legendtext +=" until %s 2012}"%(ultimate_date)
ycoord -= 0.06
tex0b = TLatex(xcoord,ycoord,legendtext)
tex0b.SetNDC(kTRUE)
tex0b.SetTextSize(0.03)
tex0b.SetTextColor(1)
tex0b.SetLineWidth(2)
tex0b.Draw()
gr3.Draw("PL")
ycoord -= 0.06
tex2a = TLatex(xcoord,ycoord,lumidelivtext)
tex2a.SetNDC(kTRUE)
tex2a.SetTextSize(0.03)
tex2a.SetTextColor(1)
tex2a.SetLineWidth(1)
tex2a.Draw()
ycoord -= 0.04
tex = TLatex(xcoord,ycoord,lumitext)
tex.SetNDC(kTRUE)
tex.SetTextSize(0.03)
tex.SetTextColor(2)
tex.SetLineWidth(1)
tex.Draw()
gr2.Draw("PL")
ycoord -= 0.04
tex2 = TLatex(xcoord,ycoord,lumiacctext)
tex2.SetNDC(kTRUE)
tex2.SetTextSize(0.03)
tex2.SetTextColor(4)
tex2.SetLineWidth(1)
tex2.Draw()
# Text string showing scenario
textScenario = TAG_NAME[cur]
if 'DQM: all, DCS: all on' in TAG_NAME[cur]:
textScenario = "Golden Scenario"
if 'DQM: muon phys, DCS: muon phys' in TAG_NAME[cur]:
textScenario = "Muon Physics Scenario"
tex3 = TLatex(0.5,0.95,textScenario)
tex3.SetNDC(kTRUE)
tex3.SetTextSize(0.03)
tex3.SetTextColor(4)
tex3.SetLineWidth(2)
tex3.Draw()
# Save a version of the plot with ALL run numbers
# as bin labels. It will be read out later
c1.Update()
tmp_cfile='tmp_plot_'+p_type+'_'+p_xtype+'_'+p_xrange+'_'+str(cur)+'.C'
if "loss" in p_type:
if "run" in p_xtype:
if "tot" in p_xrange:
c1.Print(tmp_cfile)
# Revisit the Labels
for ibin in range(0,nbin):
if 'run' in p_xtype:
if "tot" in p_xrange and not ( ibin % labelstep == 0 ) and not ( ibin == nbin-1 ):
plot.GetXaxis().SetBinLabel(ibin+1,"")
if "tot" in p_xrange and ( nbin - ibin < labelstep ) and not ( ibin == nbin-1 ):
plot.GetXaxis().SetBinLabel(ibin+1,"")
elif 'time' in p_xtype:
if "tot" in p_xrange and not ( ibin % labelstep == 0 ) and not ( ibin == nbin-1 ):
plot.GetXaxis().SetBinLabel(ibin+1,"")
if "tot" in p_xrange and ( nbin - ibin < labelstep ) and not ( ibin == nbin-1 ):
plot.GetXaxis().SetBinLabel(ibin+1,"")
plot.SetTitleOffset(2.,"X")
plot.SetTitleOffset(2.,"Y")
c1.Update()
pngfile='plot_'+p_type+'_'+p_xtype+'_'+p_xrange+'_'+str(cur)+'.png'
cfile='plot_'+p_type+'_'+p_xtype+'_'+p_xrange+'_'+str(cur)+'.C'
c1.Print(pngfile)
c1.Print(cfile)
del c1
del plot
del gr1
if 'lumi' in p_type:
del gr2
del gr3
return True
def makesummaryplot():
from ROOT import TCanvas,TGraph,gStyle,gROOT,TH1F,TLatex
global TOTLUMI,TOTLUMIACC,TOTLUMI_LW,TOTLUMIACC_LW,TOTLUMI_NR,TOTLUMIACC_NR
global TAG_NAME
kTRUE=True
if verbosityLevel:
print " "
print "Producing summary plot"
gROOT.SetBatch(True)
x=array('d')
y=array('d')
y_lw=array('d')
y_nr=array('d')
label=[]
label_lw=[]
label_nr=[]
numpoint=0
for scenario in range(0,len(JSONLIST)):
x.append(numpoint)
if TOTLUMI[scenario] != 0:
effi=TOTLUMIACC[scenario]/TOTLUMI[scenario]
else:
effi=0.
y.append(effi)
label.append(TAG_NAME[scenario]+" -- %5.3f" %(effi))
if TOTLUMI_LW[scenario] != 0:
effi=TOTLUMIACC_LW[scenario]/TOTLUMI_LW[scenario]
else:
effi=0.
y_lw.append(effi)
label_lw.append(TAG_NAME[scenario]+" -- %5.3f" %(effi))
if TOTLUMI_NR[scenario] != 0:
effi=TOTLUMIACC_NR[scenario]/TOTLUMI_NR[scenario]
else:
effi=0.
y_nr.append(effi)
label_nr.append(TAG_NAME[scenario]+" -- %5.3f" %(effi))
numpoint+=1
chart_tot = TH1F("AcceptedEffi",";;",numpoint,0,numpoint)
chart_lw = TH1F("AcceptedEffiLw",";;",numpoint,0,numpoint)
chart_nr = TH1F("AcceptedEffiNr",";;",numpoint,0,numpoint)
for ibin in range(0,numpoint):
chart_tot.GetXaxis().SetBinLabel(ibin+1,label[ibin])
chart_lw.GetXaxis().SetBinLabel(ibin+1,label_lw[ibin])
chart_nr.GetXaxis().SetBinLabel(ibin+1,label_nr[ibin])
gStyle.SetOptStat(0)
chart_tot.SetLabelOffset(-0.2,"X")
chart_lw.SetLabelOffset(-0.2,"X")
chart_nr.SetLabelOffset(-0.2,"X")
chart_tot.SetTitleOffset(2.,"X")
chart_lw.SetTitleOffset(2.,"X")
chart_nr.SetTitleOffset(2.,"X")
chart_tot.SetMaximum(1.001)
chart_lw.SetMaximum(1.001)
chart_nr.SetMaximum(1.001)
chart_tot.SetFillColor(5)
chart_lw.SetFillColor(5)
chart_nr.SetFillColor(5)
for bar in range(0,numpoint):
chart_tot.Fill(bar,y[bar])
chart_lw.Fill(bar,y_lw[bar])
chart_nr.Fill(bar,y_nr[bar])
c1 = TCanvas("c1","c1",600,800)
c1.SetFillColor(0)
c1.SetTopMargin(0.19)
#c1.SetBottomMargin(0.2)
#c1.SetBottomMargin(0.2)
c1.SetGridx()
c1.SetTicky(0)
chart_tot.Draw("hbar1")
xcoord = 0.10
ycoord = 0.92
tex0 = TLatex(xcoord,ycoord,"CMS preliminary 2012")
tex0.SetNDC(kTRUE)
tex0.SetTextSize(0.03)
tex0.SetTextColor(1)
tex0.SetLineWidth(2)
tex0.Draw()
ycoord -= 0.04
tex0a = TLatex(xcoord,ycoord,"Current certification efficiencies")
tex0a.SetNDC(kTRUE)
tex0a.SetTextSize(0.04)
tex0a.SetTextColor(1)
tex0a.SetLineWidth(2)
tex0a.Draw()
legendtext ="#splitline{pp Collisions12}{All runs until %s 2012}"%(ultimate_date)
ycoord -= 0.03
tex1 = TLatex(xcoord,ycoord,legendtext)
tex1.SetNDC(kTRUE)
tex1.SetTextSize(0.03)
tex1.SetTextColor(1)
tex1.SetLineWidth(2)
tex1.Draw()
lumitext ="Recorded integrated luminosity: %2.3f fb^{-1}"%(TOTLUMI[0]/1e+9)
ycoord -= 0.03
tex1a = TLatex(xcoord,ycoord,lumitext)
tex1a.SetNDC(kTRUE)
tex1a.SetTextSize(0.03)
tex1a.SetTextColor(1)
tex1a.SetLineWidth(2)
tex1a.Draw()
c1.Update()