| 1 |
amott |
1.1 |
import cx_Oracle
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import cPickle as pickle
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| 3 |
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import os, sys
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import time
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class DatabaseParser:
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def __init__(self):
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| 9 |
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cmd='cat ~centraltspro/secure/cms_trg_r.txt'
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line=os.popen(cmd).readlines()
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magic = line[0].rstrip("\n\r")
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connect= 'cms_trg_r/' + magic + '@cms_omds_lb'
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# connect to the DB
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self.orcl = cx_Oracle.connect(connect)
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self.curs = self.orcl.cursor()
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##-- Defined in ParsePage1 --##
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self.RunNumber = 0
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##-- Defined in ParseRunPage --##
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self.Date=''
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self.L1_HLT_Key=''
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self.HLT_Key=''
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self.GTRS_Key=''
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self.TSC_Key=''
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self.GT_Key=''
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self.ConfigId=0
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##-- Defined in ParseHLTSummaryPage --##
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self.TriggerRates = [] ## contains the HLT rates for the current LS range
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self.RateTable = [] ## Rates per LS, useful but maybe enormous!
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self.L1PrescaleTable=[]
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self.AvgL1Prescales=[] ## contains the average L1 prescales for the current LS range range
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self.HLTList=[]
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self.AvgTotalPrescales=[]
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self.HLTPrescaleTable=[] ## can't fill this yet
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self.UnprescaledRates=[]
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self.PrescaledRates=[]
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##-- Defined in ParseLumiPage --##
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self.LastLSParsed=-1
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self.LSByLS = []
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self.InstLumiByLS = []
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self.DeliveredLumiByLS = []
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self.LiveLumiByLS = []
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self.PSColumnByLS = []
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self.AvInstLumi = 0
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self.AvDeliveredLumi = 0
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self.AvLiveLumi = 0
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self.LumiInfo = [] ##Returns
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self.DeadTime = []
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self.Physics = []
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##-- Defined in ParseL1Page (not currently used) --##
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self.L1Rates={} ##Returns
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##-- Defined in ParsePSColumnPage (not currently used) --##
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self.PSColumnChanges=[] ##Returns
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##-- Defined in ParseTriggerModePage --##
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amott |
1.2 |
self.L1TriggerMode={} ##
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self.HLTTriggerMode={} ##
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amott |
1.1 |
self.HLTSeed=[]
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self.HLTSequenceMap=[]
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self.TriggerInfo = [] ##Returns
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##-- Defined in AssemblePrescaleValues --##
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self.L1Prescale=[]
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self.L1IndexNameMap=[]
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self.HLTPrescale=[]
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self.MissingPrescale=[]
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self.PrescaleValues=[] ##Returns
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##-- Defined in ComputeTotalPrescales --##
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amott |
1.2 |
self.TotalPSInfo = [] ##Returns # #collection
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amott |
1.1 |
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##-- Defined in CorrectForPrescaleChange --##
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self.CorrectedPSInfo = [] ##Returns
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##-- In the current Parser.py philosophy, only RunNumber is set globally
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## - LS range is set from the outside for each individual function
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#self.FirstLS = -1
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#self.LastLS = -1
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amott |
1.2 |
def GetLatestRunNumber(self):
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RunNoQuery="""
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SELECT MAX(A.RUNNUMBER) FROM CMS_RUNINFO.RUNNUMBERTBL A, CMS_WBM.RUNSUMMARY B WHERE A.RUNNUMBER=B.RUNNUMBER AND B.TRIGGERS>0
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"""
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self.curs.execute(RunNoQuery)
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r, = self.curs.fetchone()
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return r
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amott |
1.1 |
def GetRunInfo(self):
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## This query gets the L1_HLT Key (A), the associated HLT Key (B) and the Config number for that key (C)
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KeyQuery = """
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SELECT A.TRIGGERMODE, B.HLT_KEY, B.GT_RS_KEY, B.TSC_KEY, C.CONFIGID, D.GT_KEY FROM
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CMS_WBM.RUNSUMMARY A, CMS_L1_HLT.L1_HLT_CONF B, CMS_HLT.CONFIGURATIONS C, CMS_TRG_L1_CONF.TRIGGERSUP_CONF D WHERE
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B.ID = A.TRIGGERMODE AND C.CONFIGDESCRIPTOR = B.HLT_KEY AND D.TS_Key = B.TSC_Key AND A.RUNNUMBER=%d
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""" % (self.RunNumber,)
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self.curs.execute(KeyQuery)
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self.L1_HLT_Key,self.HLT_Key,self.GTRS_Key,self.TSC_Key,self.ConfigId,self.GT_Key = self.curs.fetchone()
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| 104 |
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def UpdateRateTable(self): # lets not rebuild the rate table every time, rather just append new LSs
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pass
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| 107 |
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def GetHLTRates(self,StartLS,EndLS):
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sqlquery = """SELECT SUM(A.L1PASS),SUM(A.PSPASS),SUM(A.PACCEPT)
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,SUM(A.PEXCEPT),(SELECT L.NAME FROM CMS_HLT.PATHS L WHERE L.PATHID=A.PATHID) PATHNAME
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FROM CMS_RUNINFO.HLT_SUPERVISOR_TRIGGERPATHS A WHERE RUNNUMBER=%s AND A.LSNUMBER>=%d AND A.LSNUMBER<%d
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GROUP BY A.LSNUMBER,A.PATHID"""
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query = sqlquery % (self.RunNumber,StartLS,EndLS)
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self.curs.execute(query)
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self.TriggerRates=['']*len(self.HLTList)
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for L1Pass,PSPass,HLTPass,HLTExcept,name in self.curs.fetchall():
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rate = HLTPass/23.3
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ps = 0
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if PSPass:
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ps = float(L1Pass)/PSPass
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if not [name] in self.RateTable:
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continue
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nameI = self.GetHLTIndex(name) #self.RateTable.index([name])
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if nameI==-1:
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continue
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self.RateTable[nameI].append([ps,rate])
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self.TriggerRates[nameI]= [rate,L1Pass,PSPass,ps,StartLS,EndLS]
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##self.RateTable
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| 129 |
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return self.TriggerRates
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| 131 |
amott |
1.3 |
def GetTriggerRatesByLS(self,triggerName, minLS=-1, maxLS=9999):
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sqlquery = """SELECT SUM(A.L1PASS),SUM(A.PSPASS),SUM(A.PACCEPT)
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| 133 |
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,SUM(A.PEXCEPT)
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FROM CMS_RUNINFO.HLT_SUPERVISOR_TRIGGERPATHS A, CMS_HLT.PATHS B
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| 135 |
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WHERE RUNNUMBER=%s AND A.LSNUMBER>=%d AND A.LSNUMBER<%d AND B.NAME = \'%s\' AND A.PATHID = B.PATHID
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GROUP BY A.LSNUMBER,A.PATHID""" % (self.RunNumber,minLS,maxLS,triggerName)
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self.curs.execute(sqlquery)
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return self.curs.fetchall()
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| 141 |
amott |
1.1 |
def GetLumiInfo(self):
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sqlquery="""SELECT RUNNUMBER,LUMISECTION,PRESCALE_INDEX,INSTLUMI,LIVELUMI,DELIVLUMISECTION,DEADTIME
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,DCSSTATUS,PHYSICS_FLAG
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FROM CMS_RUNTIME_LOGGER.LUMI_SECTIONS A,CMS_GT_MON.LUMI_SECTIONS B WHERE A.RUNNUMBER=%s
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AND B.RUN_NUMBER(+)=A.RUNNUMBER AND B.LUMI_SECTION(+)=A.LUMISECTION AND A.LUMISECTION > %d
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ORDER BY A.RUNNUMBER,A.LUMISECTION"""
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## Get the lumi information for the run, just update the table, don't rebuild it every time
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query = sqlquery % (self.RunNumber,self.LastLSParsed)
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self.curs.execute(query)
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pastLSCol=-1
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for run,ls,psi,inst,live,dlive,dt,dcs,phys in self.curs.fetchall():
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self.LSByLS.append(ls)
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self.PSColumnByLS.append(psi)
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self.InstLumiByLS.append(inst)
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self.LiveLumiByLS.append(inst)
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self.DeliveredLumiByLS.append(inst)
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self.DeadTime.append(dt)
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self.Physics.append(phys)
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if pastLSCol!=-1 and ls!=pastLSCol:
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self.PSColumnChanges.append([ls,psi])
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pastLSCol=ls
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if ls>self.LastLSParsed:
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self.LastLSParsed=ls
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def FillLumiInfo(self,StartLS,EndLS):
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if EndLS <= StartLS:
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print "In ParseLumiPage, EndLS <= StartLS"
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| 170 |
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print "In ParseLumiPage, StartLS = "+str(StartLS)+" and EndLS = "+str(EndLS)
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| 171 |
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| 172 |
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self.AvLiveLumi = 1000*(self.LiveLumiByLS[EndLS] - self.LiveLumiByLS[StartLS])/(23.3*(EndLS-StartLS))
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self.AvDeliveredLumi = 1000*(self.DeliveredLumiByLS[EndLS] - self.DeliveredLumiByLS[StartLS])/(23.3*(EndLS-StartLS))
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value_iterator = 0
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for value in self.LSByLS:
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if value >= StartLS and value <= EndLS:
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self.AvInstLumi+=self.InstLumiByLS[value]
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value_iterator+=1
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self.AvInstLumi = self.AvInstLumi / value_iterator
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| 180 |
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| 181 |
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self.LumiInfo = [self.LSByLS, self.PSColumnByLS, self.InstLumiByLS, self.DeliveredLumiByLS, self.LiveLumiByLS, self.AvInstLumi, self.AvDeliveredLumi, self.AvLiveLumi]
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| 182 |
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| 183 |
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return [self.LumiInfo,StartLS,EndLS]
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| 184 |
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| 185 |
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| 186 |
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def ParsePSColumnPage(self): ## this is now done automatically when we read the db
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pass
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| 188 |
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| 189 |
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def GetL1NameIndexAssoc(self):
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| 190 |
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## get the L1 algo names associated with each algo bit
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| 191 |
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AlgoNameQuery = """SELECT ALGO_INDEX, ALIAS FROM CMS_GT.L1T_MENU_ALGO_VIEW
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WHERE MENU_IMPLEMENTATION IN (SELECT L1T_MENU_FK FROM CMS_GT.GT_SETUP WHERE ID='%s')
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| 193 |
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ORDER BY ALGO_INDEX""" % (self.GT_Key,)
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| 194 |
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self.curs.execute(AlgoNameQuery)
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| 195 |
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nextIndex=0
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| 196 |
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for index,name in self.curs.fetchall():
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| 197 |
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while nextIndex<index:
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| 198 |
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self.L1IndexNameMap.append('')
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| 199 |
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nextIndex+=1 ## skips empty seeds
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| 200 |
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self.L1IndexNameMap.append(name)
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| 201 |
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nextIndex+=1
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| 202 |
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| 203 |
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def GetL1AlgoPrescales(self):
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| 204 |
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L1PrescalesQuery= """
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SELECT
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| 206 |
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PRESCALE_FACTOR_ALGO_000,PRESCALE_FACTOR_ALGO_001,PRESCALE_FACTOR_ALGO_002,PRESCALE_FACTOR_ALGO_003,PRESCALE_FACTOR_ALGO_004,PRESCALE_FACTOR_ALGO_005,
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| 207 |
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PRESCALE_FACTOR_ALGO_006,PRESCALE_FACTOR_ALGO_007,PRESCALE_FACTOR_ALGO_008,PRESCALE_FACTOR_ALGO_009,PRESCALE_FACTOR_ALGO_010,PRESCALE_FACTOR_ALGO_011,
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| 208 |
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PRESCALE_FACTOR_ALGO_012,PRESCALE_FACTOR_ALGO_013,PRESCALE_FACTOR_ALGO_014,PRESCALE_FACTOR_ALGO_015,PRESCALE_FACTOR_ALGO_016,PRESCALE_FACTOR_ALGO_017,
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| 209 |
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PRESCALE_FACTOR_ALGO_018,PRESCALE_FACTOR_ALGO_019,PRESCALE_FACTOR_ALGO_020,PRESCALE_FACTOR_ALGO_021,PRESCALE_FACTOR_ALGO_022,PRESCALE_FACTOR_ALGO_023,
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| 210 |
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PRESCALE_FACTOR_ALGO_024,PRESCALE_FACTOR_ALGO_025,PRESCALE_FACTOR_ALGO_026,PRESCALE_FACTOR_ALGO_027,PRESCALE_FACTOR_ALGO_028,PRESCALE_FACTOR_ALGO_029,
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| 211 |
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PRESCALE_FACTOR_ALGO_030,PRESCALE_FACTOR_ALGO_031,PRESCALE_FACTOR_ALGO_032,PRESCALE_FACTOR_ALGO_033,PRESCALE_FACTOR_ALGO_034,PRESCALE_FACTOR_ALGO_035,
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| 212 |
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PRESCALE_FACTOR_ALGO_036,PRESCALE_FACTOR_ALGO_037,PRESCALE_FACTOR_ALGO_038,PRESCALE_FACTOR_ALGO_039,PRESCALE_FACTOR_ALGO_040,PRESCALE_FACTOR_ALGO_041,
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| 213 |
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PRESCALE_FACTOR_ALGO_042,PRESCALE_FACTOR_ALGO_043,PRESCALE_FACTOR_ALGO_044,PRESCALE_FACTOR_ALGO_045,PRESCALE_FACTOR_ALGO_046,PRESCALE_FACTOR_ALGO_047,
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| 214 |
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PRESCALE_FACTOR_ALGO_048,PRESCALE_FACTOR_ALGO_049,PRESCALE_FACTOR_ALGO_050,PRESCALE_FACTOR_ALGO_051,PRESCALE_FACTOR_ALGO_052,PRESCALE_FACTOR_ALGO_053,
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| 215 |
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PRESCALE_FACTOR_ALGO_054,PRESCALE_FACTOR_ALGO_055,PRESCALE_FACTOR_ALGO_056,PRESCALE_FACTOR_ALGO_057,PRESCALE_FACTOR_ALGO_058,PRESCALE_FACTOR_ALGO_059,
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| 216 |
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PRESCALE_FACTOR_ALGO_060,PRESCALE_FACTOR_ALGO_061,PRESCALE_FACTOR_ALGO_062,PRESCALE_FACTOR_ALGO_063,PRESCALE_FACTOR_ALGO_064,PRESCALE_FACTOR_ALGO_065,
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| 217 |
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PRESCALE_FACTOR_ALGO_066,PRESCALE_FACTOR_ALGO_067,PRESCALE_FACTOR_ALGO_068,PRESCALE_FACTOR_ALGO_069,PRESCALE_FACTOR_ALGO_070,PRESCALE_FACTOR_ALGO_071,
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| 218 |
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PRESCALE_FACTOR_ALGO_072,PRESCALE_FACTOR_ALGO_073,PRESCALE_FACTOR_ALGO_074,PRESCALE_FACTOR_ALGO_075,PRESCALE_FACTOR_ALGO_076,PRESCALE_FACTOR_ALGO_077,
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| 219 |
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PRESCALE_FACTOR_ALGO_078,PRESCALE_FACTOR_ALGO_079,PRESCALE_FACTOR_ALGO_080,PRESCALE_FACTOR_ALGO_081,PRESCALE_FACTOR_ALGO_082,PRESCALE_FACTOR_ALGO_083,
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| 220 |
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PRESCALE_FACTOR_ALGO_084,PRESCALE_FACTOR_ALGO_085,PRESCALE_FACTOR_ALGO_086,PRESCALE_FACTOR_ALGO_087,PRESCALE_FACTOR_ALGO_088,PRESCALE_FACTOR_ALGO_089,
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| 221 |
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PRESCALE_FACTOR_ALGO_090,PRESCALE_FACTOR_ALGO_091,PRESCALE_FACTOR_ALGO_092,PRESCALE_FACTOR_ALGO_093,PRESCALE_FACTOR_ALGO_094,PRESCALE_FACTOR_ALGO_095,
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| 222 |
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PRESCALE_FACTOR_ALGO_096,PRESCALE_FACTOR_ALGO_097,PRESCALE_FACTOR_ALGO_098,PRESCALE_FACTOR_ALGO_099,PRESCALE_FACTOR_ALGO_100,PRESCALE_FACTOR_ALGO_101,
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| 223 |
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PRESCALE_FACTOR_ALGO_102,PRESCALE_FACTOR_ALGO_103,PRESCALE_FACTOR_ALGO_104,PRESCALE_FACTOR_ALGO_105,PRESCALE_FACTOR_ALGO_106,PRESCALE_FACTOR_ALGO_107,
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| 224 |
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PRESCALE_FACTOR_ALGO_108,PRESCALE_FACTOR_ALGO_109,PRESCALE_FACTOR_ALGO_110,PRESCALE_FACTOR_ALGO_111,PRESCALE_FACTOR_ALGO_112,PRESCALE_FACTOR_ALGO_113,
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| 225 |
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PRESCALE_FACTOR_ALGO_114,PRESCALE_FACTOR_ALGO_115,PRESCALE_FACTOR_ALGO_116,PRESCALE_FACTOR_ALGO_117,PRESCALE_FACTOR_ALGO_118,PRESCALE_FACTOR_ALGO_119,
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| 226 |
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PRESCALE_FACTOR_ALGO_120,PRESCALE_FACTOR_ALGO_121,PRESCALE_FACTOR_ALGO_122,PRESCALE_FACTOR_ALGO_123,PRESCALE_FACTOR_ALGO_124,PRESCALE_FACTOR_ALGO_125,
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| 227 |
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PRESCALE_FACTOR_ALGO_126,PRESCALE_FACTOR_ALGO_127
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| 228 |
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FROM CMS_GT.GT_FDL_PRESCALE_FACTORS_ALGO A, CMS_GT.GT_RUN_SETTINGS_PRESC_VIEW B
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| 229 |
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WHERE A.ID=B.PRESCALE_FACTORS_ALGO_FK AND B.ID='%s'
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| 230 |
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""" % (self.GTRS_Key,)
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| 231 |
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self.curs.execute(L1PrescalesQuery)
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| 232 |
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## This is pretty horrible, but this how you get them!!
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| 233 |
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tmp = self.curs.fetchall()
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| 234 |
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for ps in tmp[0]: #build the prescale table initially
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| 235 |
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self.L1PrescaleTable.append([ps])
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| 236 |
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for line in tmp[1:]: # now fill it
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| 237 |
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for ps,index in zip(line,range(len(line))):
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| 238 |
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self.L1PrescaleTable[index].append(ps)
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| 239 |
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| 240 |
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def GetHLTIndex(self,name):
|
| 241 |
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for i,n in enumerate(self.HLTList):
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| 242 |
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if n.find(name)!=-1:
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| 243 |
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return i
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| 244 |
amott |
1.2 |
#print name
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| 245 |
amott |
1.1 |
return -1
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| 246 |
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| 247 |
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def GetL1Index(self,name):
|
| 248 |
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for i,n in enumerate(self.L1IndexNameMap):
|
| 249 |
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if n==name:
|
| 250 |
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return i
|
| 251 |
amott |
1.2 |
#print name
|
| 252 |
amott |
1.1 |
return -1
|
| 253 |
|
|
|
| 254 |
|
|
def GetHLTPrescaleMatrix(self,cursor):
|
| 255 |
|
|
##NOT WORKING 1/19/2012
|
| 256 |
|
|
return
|
| 257 |
|
|
SequencePathQuery ="""
|
| 258 |
|
|
SELECT F.SEQUENCENB,J.VALUE TRIGGERNAME
|
| 259 |
|
|
FROM CMS_HLT.CONFIGURATIONSERVICEASSOC A
|
| 260 |
|
|
, CMS_HLT.SERVICES B
|
| 261 |
|
|
, CMS_HLT.SERVICETEMPLATES C
|
| 262 |
|
|
, CMS_HLT.SUPERIDVECPARAMSETASSOC D
|
| 263 |
|
|
, CMS_HLT.VECPARAMETERSETS E
|
| 264 |
|
|
, CMS_HLT.SUPERIDPARAMSETASSOC F
|
| 265 |
|
|
, CMS_HLT.PARAMETERSETS G
|
| 266 |
|
|
, CMS_HLT.SUPERIDPARAMETERASSOC H
|
| 267 |
|
|
, CMS_HLT.PARAMETERS I
|
| 268 |
|
|
, CMS_HLT.STRINGPARAMVALUES J
|
| 269 |
|
|
WHERE A.CONFIGID= %d
|
| 270 |
|
|
AND A.SERVICEID=B.SUPERID
|
| 271 |
|
|
AND B.TEMPLATEID=C.SUPERID
|
| 272 |
|
|
AND C.NAME='PrescaleService'
|
| 273 |
|
|
AND B.SUPERID=D.SUPERID
|
| 274 |
|
|
AND D.VPSETID=E.SUPERID
|
| 275 |
|
|
AND E.NAME='prescaleTable'
|
| 276 |
|
|
AND D.VPSETID=F.SUPERID
|
| 277 |
|
|
AND F.PSETID=G.SUPERID
|
| 278 |
|
|
AND G.SUPERID=H.SUPERID
|
| 279 |
|
|
AND I.PARAMID=H.PARAMID
|
| 280 |
|
|
AND I.NAME='pathName'
|
| 281 |
|
|
AND J.PARAMID=H.PARAMID
|
| 282 |
|
|
ORDER BY F.SEQUENCENB
|
| 283 |
|
|
""" % (self.ConfigId,)
|
| 284 |
|
|
|
| 285 |
|
|
cursor.execute(SequencePathQuery)
|
| 286 |
|
|
self.HLTSequenceMap = [0]*len(self.HLTList)
|
| 287 |
|
|
for seq,name in cursor.fetchall():
|
| 288 |
|
|
name = name.lstrip('"').rstrip('"')
|
| 289 |
|
|
try:
|
| 290 |
|
|
self.HLTSequenceMap[self.GetHLTIndex(name)]=seq
|
| 291 |
|
|
except:
|
| 292 |
|
|
print "couldn't find "+name
|
| 293 |
|
|
|
| 294 |
|
|
for i,seq in enumerate(self.HLTSequenceMap):
|
| 295 |
|
|
if seq==0:
|
| 296 |
|
|
print self.HLTList[i]
|
| 297 |
|
|
|
| 298 |
|
|
SequencePrescaleQuery="""
|
| 299 |
|
|
SELECT F.SEQUENCENB,J.SEQUENCENB,J.VALUE
|
| 300 |
|
|
FROM CMS_HLT.CONFIGURATIONSERVICEASSOC A
|
| 301 |
|
|
, CMS_HLT.SERVICES B
|
| 302 |
|
|
, CMS_HLT.SERVICETEMPLATES C
|
| 303 |
|
|
, CMS_HLT.SUPERIDVECPARAMSETASSOC D
|
| 304 |
|
|
, CMS_HLT.VECPARAMETERSETS E
|
| 305 |
|
|
, CMS_HLT.SUPERIDPARAMSETASSOC F
|
| 306 |
|
|
, CMS_HLT.PARAMETERSETS G
|
| 307 |
|
|
, CMS_HLT.SUPERIDPARAMETERASSOC H
|
| 308 |
|
|
, CMS_HLT.PARAMETERS I
|
| 309 |
|
|
, CMS_HLT.VUINT32PARAMVALUES J
|
| 310 |
|
|
WHERE A.CONFIGID=%d
|
| 311 |
|
|
AND A.SERVICEID=B.SUPERID
|
| 312 |
|
|
AND B.TEMPLATEID=C.SUPERID
|
| 313 |
|
|
AND C.NAME='PrescaleService'
|
| 314 |
|
|
AND B.SUPERID=D.SUPERID
|
| 315 |
|
|
AND D.VPSETID=E.SUPERID
|
| 316 |
|
|
AND E.NAME='prescaleTable'
|
| 317 |
|
|
AND D.VPSETID=F.SUPERID
|
| 318 |
|
|
AND F.PSETID=G.SUPERID
|
| 319 |
|
|
AND G.SUPERID=H.SUPERID
|
| 320 |
|
|
AND I.PARAMID=H.PARAMID
|
| 321 |
|
|
AND I.NAME='prescales'
|
| 322 |
|
|
AND J.PARAMID=H.PARAMID
|
| 323 |
|
|
ORDER BY F.SEQUENCENB,J.SEQUENCENB
|
| 324 |
|
|
""" % (self.ConfigId,)
|
| 325 |
|
|
|
| 326 |
amott |
1.2 |
#print self.HLTSequenceMap
|
| 327 |
amott |
1.1 |
cursor.execute(SequencePrescaleQuery)
|
| 328 |
|
|
self.HLTPrescaleTable=[ [] ]*len(self.HLTList)
|
| 329 |
|
|
lastIndex=-1
|
| 330 |
|
|
lastSeq=-1
|
| 331 |
|
|
row = []
|
| 332 |
|
|
for seq,index,val in cursor.fetchall():
|
| 333 |
|
|
if lastIndex!=index-1:
|
| 334 |
|
|
self.HLTPrescaleTable[self.HLTSequenceMap.index(lastSeq)].append(row)
|
| 335 |
|
|
row=[]
|
| 336 |
|
|
lastSeq=seq
|
| 337 |
|
|
lastIndex=index
|
| 338 |
|
|
row.append(val)
|
| 339 |
|
|
|
| 340 |
|
|
def GetHLTSeeds(self):
|
| 341 |
|
|
## This is a rather delicate query, but it works!
|
| 342 |
|
|
## Essentially get a list of paths associated with the config, then find the module of type HLTLevel1GTSeed associated with the path
|
| 343 |
|
|
## Then find the parameter with field name L1SeedsLogicalExpression and look at the value
|
| 344 |
|
|
##
|
| 345 |
|
|
## NEED TO BE LOGGED IN AS CMS_HLT_R
|
| 346 |
|
|
cmd='cat ~hltpro/secure/cms_hlt_r.txt'
|
| 347 |
|
|
line=os.popen(cmd).readlines()
|
| 348 |
|
|
magic = line[0].rstrip("\n\r")
|
| 349 |
|
|
connect= 'cms_hlt_r/' + magic + '@cms_omds_lb'
|
| 350 |
|
|
# connect to the DB
|
| 351 |
|
|
tmporcl = cx_Oracle.connect(connect)
|
| 352 |
|
|
tmpcurs = tmporcl.cursor()
|
| 353 |
|
|
sqlquery ="""
|
| 354 |
|
|
SELECT I.NAME,A.VALUE
|
| 355 |
|
|
FROM
|
| 356 |
|
|
CMS_HLT.STRINGPARAMVALUES A,
|
| 357 |
|
|
CMS_HLT.PARAMETERS B,
|
| 358 |
|
|
CMS_HLT.SUPERIDPARAMETERASSOC C,
|
| 359 |
|
|
CMS_HLT.MODULETEMPLATES D,
|
| 360 |
|
|
CMS_HLT.MODULES E,
|
| 361 |
|
|
CMS_HLT.PATHMODULEASSOC F,
|
| 362 |
|
|
CMS_HLT.CONFIGURATIONPATHASSOC G,
|
| 363 |
|
|
CMS_HLT.CONFIGURATIONS H,
|
| 364 |
|
|
CMS_HLT.PATHS I
|
| 365 |
|
|
WHERE
|
| 366 |
|
|
A.PARAMID = C.PARAMID AND
|
| 367 |
|
|
B.PARAMID = C.PARAMID AND
|
| 368 |
|
|
B.NAME = 'L1SeedsLogicalExpression' AND
|
| 369 |
|
|
C.SUPERID = F.MODULEID AND
|
| 370 |
|
|
D.NAME = 'HLTLevel1GTSeed' AND
|
| 371 |
|
|
E.TEMPLATEID = D.SUPERID AND
|
| 372 |
|
|
F.MODULEID = E.SUPERID AND
|
| 373 |
|
|
F.PATHID=G.PATHID AND
|
| 374 |
|
|
I.PATHID=G.PATHID AND
|
| 375 |
|
|
G.CONFIGID=H.CONFIGID AND
|
| 376 |
|
|
H.CONFIGDESCRIPTOR='%s'
|
| 377 |
amott |
1.2 |
ORDER BY A.VALUE
|
| 378 |
amott |
1.1 |
""" % (self.HLT_Key,)
|
| 379 |
|
|
tmpcurs.execute(sqlquery)
|
| 380 |
|
|
for HLTPath,L1Seed in tmpcurs.fetchall():
|
| 381 |
|
|
self.HLTList.append(HLTPath)
|
| 382 |
|
|
self.HLTSeed.append([HLTPath,L1Seed])
|
| 383 |
|
|
self.TriggerRates.append([HLTPath])
|
| 384 |
|
|
self.RateTable.append([HLTPath])
|
| 385 |
|
|
#self.GetHLTPrescaleMatrix(tmpcurs)
|
| 386 |
|
|
|
| 387 |
|
|
def ParseRunSetup(self):
|
| 388 |
|
|
#queries that need to be run only once per run
|
| 389 |
|
|
self.GetRunInfo()
|
| 390 |
|
|
self.GetL1NameIndexAssoc()
|
| 391 |
|
|
self.GetL1AlgoPrescales()
|
| 392 |
|
|
self.GetHLTSeeds()
|
| 393 |
|
|
|
| 394 |
|
|
def UpdateRun(self,StartLS,EndLS):
|
| 395 |
|
|
if EndLS<StartLS:
|
| 396 |
|
|
print "Invalid Lumi Section Range"
|
| 397 |
|
|
return
|
| 398 |
|
|
self.GetLumiInfo()
|
| 399 |
|
|
if StartLS < 0:
|
| 400 |
|
|
EndLS = max(self.LSByLS) - 1
|
| 401 |
|
|
StartLS = EndLS + StartLS
|
| 402 |
|
|
if StartLS < 2: #The parser does not parse the first LS
|
| 403 |
|
|
StartLS = 2
|
| 404 |
|
|
if StartLS == 999999:
|
| 405 |
|
|
StartLS = min(self.LSByLS)
|
| 406 |
|
|
if EndLS == 111111:
|
| 407 |
|
|
EndLS = max(self.LSByLS)
|
| 408 |
|
|
if EndLS>self.LastLSParsed:
|
| 409 |
|
|
print "EndLS out of range"
|
| 410 |
|
|
return
|
| 411 |
|
|
self.FillLumiInfo(StartLS,EndLS)
|
| 412 |
|
|
self.GetHLTRates(StartLS,EndLS)
|
| 413 |
|
|
self.CalculateAvL1Prescales(StartLS,EndLS)
|
| 414 |
|
|
self.CalculateTotalPrescales()
|
| 415 |
|
|
self.UnprescaleRates()
|
| 416 |
|
|
|
| 417 |
|
|
def CalculateAvL1Prescales(self,StartLS,EndLS):
|
| 418 |
|
|
self.AvgL1Prescales=[0]*len(self.L1IndexNameMap) ## make it an array of 0s of the right length (should be 128, but don't assume)
|
| 419 |
|
|
for index in range(StartLS,EndLS+1):
|
| 420 |
|
|
psi = self.PSColumnByLS[index]
|
| 421 |
|
|
if not psi:
|
| 422 |
|
|
print "Cannot figure out PSI for LS "+str(index)
|
| 423 |
|
|
continue
|
| 424 |
|
|
for algo in range(len(self.L1IndexNameMap)):
|
| 425 |
|
|
self.AvgL1Prescales[algo]+=self.L1PrescaleTable[algo][psi]
|
| 426 |
|
|
for i in range(len(self.AvgL1Prescales)):
|
| 427 |
|
|
self.AvgL1Prescales[i] = self.AvgL1Prescales[i]/(EndLS-StartLS+1)
|
| 428 |
|
|
|
| 429 |
|
|
def CalculateTotalPrescales(self):
|
| 430 |
|
|
self.AvgTotalPrescales=[]
|
| 431 |
|
|
for i,n in enumerate(self.HLTList):
|
| 432 |
|
|
hltPS=0
|
| 433 |
|
|
if len(self.TriggerRates[i])>0:
|
| 434 |
|
|
hltPS = self.TriggerRates[i][3]
|
| 435 |
|
|
l1Index = self.GetL1Index(self.HLTSeed[i][1].lstrip('"').rstrip('"'))
|
| 436 |
|
|
l1PS=0
|
| 437 |
|
|
if l1Index==-1:
|
| 438 |
amott |
1.2 |
l1PS = self.UnwindORSeed(self.HLTSeed[i][1].lstrip('"').rstrip('"'))
|
| 439 |
|
|
#print "Could not find prescale for seed "+self.HLTSeed[i][1]
|
| 440 |
amott |
1.1 |
else:
|
| 441 |
|
|
l1PS = self.AvgL1Prescales[l1Index]
|
| 442 |
|
|
#print hltPS+" "+l1PS
|
| 443 |
|
|
self.AvgTotalPrescales.append(hltPS*l1PS)
|
| 444 |
|
|
|
| 445 |
|
|
|
| 446 |
amott |
1.2 |
def UnwindORSeed(self,expression):
|
| 447 |
|
|
print "Unwinding "+expression
|
| 448 |
|
|
if expression.find(" OR ") == -1:
|
| 449 |
|
|
return -1 # Not an OR of seeds
|
| 450 |
|
|
seedList = expression.split(" OR ")
|
| 451 |
|
|
if len(seedList)==1:
|
| 452 |
|
|
return -1 # Not an OR of seeds, really shouldn't get here...
|
| 453 |
|
|
minPS = 99999999999
|
| 454 |
|
|
for seed in seedList:
|
| 455 |
|
|
l1Index = self.GetL1Index(seed)
|
| 456 |
|
|
if l1Index == -1:
|
| 457 |
|
|
pass
|
| 458 |
|
|
else:
|
| 459 |
|
|
ps = self.AvgL1Prescales[l1Index]
|
| 460 |
|
|
if ps:
|
| 461 |
|
|
minPS = min(ps,minPS)
|
| 462 |
|
|
print seed+" "+str(ps)+" "+str(minPS)
|
| 463 |
|
|
if minPS==99999999999:
|
| 464 |
|
|
return 0
|
| 465 |
|
|
else:
|
| 466 |
|
|
return minPS
|
| 467 |
|
|
|
| 468 |
amott |
1.1 |
def UnprescaleRates(self):
|
| 469 |
|
|
self.PrescaledRates=[]
|
| 470 |
|
|
self.UnprescaledRates=[]
|
| 471 |
|
|
for i,n in enumerate(self.HLTList):
|
| 472 |
|
|
psRate=0
|
| 473 |
|
|
if len(self.TriggerRates[i])>0:
|
| 474 |
|
|
psRate = self.TriggerRates[i][0]
|
| 475 |
|
|
totalPS = self.AvgTotalPrescales[i]
|
| 476 |
|
|
unpsRate = psRate
|
| 477 |
|
|
if totalPS:
|
| 478 |
|
|
unpsRate = psRate*totalPS
|
| 479 |
|
|
self.PrescaledRates.append(psRate)
|
| 480 |
|
|
self.UnprescaledRates.append(unpsRate)
|
| 481 |
|
|
|
| 482 |
|
|
def AssemblePrescaleValues(self): ##Depends on output from ParseLumiPage and ParseTriggerModePage
|
| 483 |
|
|
return ## WHAT DOES THIS FUNCTION DO???
|
| 484 |
|
|
MissingName = "Nemo"
|
| 485 |
|
|
for key in self.L1TriggerMode:
|
| 486 |
|
|
self.L1Prescale[key] = {}
|
| 487 |
|
|
for n in range(min(self.LSByLS),max(self.LSByLS)+1): #"range()" excludes the last element
|
| 488 |
|
|
try:
|
| 489 |
|
|
self.L1Prescale[key][n] = self.L1TriggerMode[key][self.PSColumnByLS[n]]
|
| 490 |
|
|
except:
|
| 491 |
|
|
if not key == MissingName:
|
| 492 |
|
|
self.MissingPrescale.append(key)
|
| 493 |
|
|
MissingName = key
|
| 494 |
|
|
if not n < 2:
|
| 495 |
|
|
print "LS "+str(n)+" of key "+str(key)+" is missing from the LumiSections page"
|
| 496 |
|
|
|
| 497 |
|
|
for key in self.HLTTriggerMode:
|
| 498 |
|
|
self.HLTPrescale[key] = {}
|
| 499 |
|
|
for n in range(min(self.LSByLS),max(self.LSByLS)+1): #"range" excludes the last element
|
| 500 |
|
|
try:
|
| 501 |
|
|
self.HLTPrescale[key][n] = self.HLTTriggerMode[key][self.PSColumnByLS[n]]
|
| 502 |
|
|
except:
|
| 503 |
|
|
if not key == MissingName:
|
| 504 |
|
|
self.MissingPrescale.append(key)
|
| 505 |
|
|
MissingName = key
|
| 506 |
|
|
if not n < 2:
|
| 507 |
|
|
print "LS "+str(n)+" of key "+str(key)+" is missing from the LumiSections page"
|
| 508 |
|
|
|
| 509 |
|
|
self.PrescaleValues = [self.L1Prescale,self.HLTPrescale,self.MissingPrescale]
|
| 510 |
|
|
return self.PrescaleValues
|
| 511 |
|
|
|
| 512 |
|
|
def ComputeTotalPrescales(self,StartLS,EndLS):
|
| 513 |
|
|
return ## WHAT DOES THIS FUNCTION DO??
|
| 514 |
|
|
IdealHLTPrescale = {}
|
| 515 |
|
|
IdealPrescale = {}
|
| 516 |
|
|
L1_zero = {}
|
| 517 |
|
|
HLT_zero = {}
|
| 518 |
|
|
n1 = {}
|
| 519 |
|
|
n2 = {}
|
| 520 |
|
|
L1 = {}
|
| 521 |
|
|
L2 = {}
|
| 522 |
|
|
H1 = {}
|
| 523 |
|
|
H2 = {}
|
| 524 |
|
|
InitialColumnIndex = self.PSColumnByLS[int(StartLS)]
|
| 525 |
|
|
|
| 526 |
|
|
for key in self.HLTTriggerMode:
|
| 527 |
|
|
try:
|
| 528 |
|
|
DoesThisPathHaveAValidL1SeedWithPrescale = self.L1Prescale[self.HLTSeed[key]][StartLS]
|
| 529 |
|
|
except:
|
| 530 |
|
|
L1_zero[key] = True
|
| 531 |
|
|
HLT_zero[key] = False
|
| 532 |
|
|
continue
|
| 533 |
|
|
|
| 534 |
|
|
IdealHLTPrescale[key] = 0.0
|
| 535 |
|
|
IdealPrescale[key] = 0.0
|
| 536 |
|
|
n1[key] = 0
|
| 537 |
|
|
L1_zero[key] = False
|
| 538 |
|
|
HLT_zero[key] = False
|
| 539 |
|
|
|
| 540 |
|
|
for LSIterator in range(StartLS,EndLS+1): #"range" excludes the last element
|
| 541 |
|
|
if self.L1Prescale[self.HLTSeed[key]][LSIterator] > 0 and self.HLTPrescale[key][LSIterator] > 0:
|
| 542 |
|
|
IdealPrescale[key]+=1.0/(self.L1Prescale[self.HLTSeed[key]][LSIterator]*self.HLTPrescale[key][LSIterator])
|
| 543 |
|
|
else:
|
| 544 |
|
|
IdealPrescale[key]+=1.0 ##To prevent a divide by 0 error later
|
| 545 |
|
|
if self.L1Prescale[self.HLTSeed[key]][LSIterator] < 0.1:
|
| 546 |
|
|
L1_zero[key] = True
|
| 547 |
|
|
if self.HLTPrescale[key][LSIterator] < 0.1:
|
| 548 |
|
|
HLT_zero[key] = True
|
| 549 |
|
|
if self.PSColumnByLS[LSIterator] == InitialColumnIndex:
|
| 550 |
|
|
n1[key]+=1
|
| 551 |
|
|
|
| 552 |
|
|
if L1_zero[key] == True or HLT_zero[key] == True:
|
| 553 |
|
|
continue
|
| 554 |
|
|
|
| 555 |
|
|
IdealPrescale[key] = (EndLS + 1 - StartLS)/IdealPrescale[key]
|
| 556 |
|
|
|
| 557 |
|
|
n2[key] = float(EndLS + 1 - StartLS - n1[key])
|
| 558 |
|
|
L1[key] = float(self.L1Prescale[self.HLTSeed[key]][StartLS])
|
| 559 |
|
|
L2[key] = float(self.L1Prescale[self.HLTSeed[key]][EndLS])
|
| 560 |
|
|
H1[key] = float(self.HLTPrescale[key][StartLS])
|
| 561 |
|
|
H2[key] = float(self.HLTPrescale[key][EndLS])
|
| 562 |
|
|
|
| 563 |
|
|
IdealHLTPrescale[key] = ((n1[key]/L1[key])+(n2[key]/L2[key]))/((n1[key]/(L1[key]*H1[key]))+(n2[key]/(L2[key]*H2[key])))
|
| 564 |
|
|
|
| 565 |
|
|
self.TotalPSInfo = [L1_zero,HLT_zero,IdealPrescale,IdealHLTPrescale,n1,n2,L1,L2,H1,H2]
|
| 566 |
|
|
|
| 567 |
|
|
return self.TotalPSInfo
|
| 568 |
|
|
|
| 569 |
|
|
|
| 570 |
|
|
def CorrectForPrescaleChange(self,StartLS,EndLS):
|
| 571 |
|
|
[L1_zero,HLT_zero,IdealPrescale,IdealHLTPrescale,n1,n2,L1,L2,H1,H2] = self.TotalPSInfo
|
| 572 |
|
|
xLS = {}
|
| 573 |
|
|
RealPrescale = {}
|
| 574 |
|
|
|
| 575 |
|
|
for key in self.HLTTriggerMode:
|
| 576 |
|
|
if L1_zero[key] == True or HLT_zero[key] == True:
|
| 577 |
|
|
continue
|
| 578 |
|
|
[TriggerRate,L1Pass,PSPass,PS,Seed,StartLS,EndLS] = self.TriggerRates[key]
|
| 579 |
|
|
if PS > 0.95 * IdealHLTPrescale[key] and PS < 1.05 * IdealHLTPrescale[key]:
|
| 580 |
|
|
RealPrescale[key] = IdealPrescale[key]
|
| 581 |
|
|
continue
|
| 582 |
|
|
|
| 583 |
|
|
if H1[key] == H2[key] and L1[key] == L2[key] and not EndLS > max(self.LSByLS) - 1: ##Look for prescale change into the next LS
|
| 584 |
|
|
H2[key] = float(self.HLTPrescale[key][EndLS+1])
|
| 585 |
|
|
L2[key] = float(self.L1Prescale[self.HLTSeed[key]][EndLS+1])
|
| 586 |
|
|
if H1[key] == H2[key] and L1[key] == L2[key] and not StartLS < 3:
|
| 587 |
|
|
H1[key] = float(self.HLTPrescale[key][StartLS-1])
|
| 588 |
|
|
L1[key] = float(self.L1Prescale[self.HLTSeed[key]][StartLS-1])
|
| 589 |
|
|
if H1[key] == H2[key]:
|
| 590 |
|
|
xLS[key] = 0
|
| 591 |
|
|
else:
|
| 592 |
|
|
xLS[key] = ((-(PS/IdealHLTPrescale[key])*(L2[key]*n1[key]+L1[key]*n2[key])*(H2[key]*L2[key]*n1[key]+H1[key]*L1[key]*n2[key]))+((H2[key]*L2[key]*n1[key]+H1[key]*L1[key]*n2[key])*(L2[key]*n1[key]+L1[key]*n2[key])))/(((PS/IdealHLTPrescale[key])*(L2[key]*n1[key]+L1[key]*n2[key])*(H1[key]*L1[key]-H2[key]*L2[key]))+((H2[key]*L2[key]*n1[key]+H1[key]*L1[key]*n2[key])*(L2[key]-L1[key])))
|
| 593 |
|
|
|
| 594 |
|
|
if xLS[key] > 1:
|
| 595 |
|
|
xLS[key] = 1
|
| 596 |
|
|
if xLS[key] < -1:
|
| 597 |
|
|
xLS[key] = -1
|
| 598 |
|
|
RealPrescale[key] = (n1[key] + n2[key])/(((n1[key] - xLS[key])/(H1[key]*L1[key]))+(n2[key]+xLS[key])/(H2[key]*L2[key]))
|
| 599 |
|
|
|
| 600 |
|
|
self.CorrectedPSInfo = [RealPrescale,xLS,L1,L2,H1,H2]
|
| 601 |
|
|
|
| 602 |
|
|
return self.CorrectedPSInfo
|
| 603 |
|
|
|
| 604 |
|
|
def Save(self, fileName):
|
| 605 |
|
|
dir = os.path.dirname(fileName)
|
| 606 |
|
|
if not os.path.exists(dir):
|
| 607 |
|
|
os.makedirs(dir)
|
| 608 |
|
|
pickle.dump( self, open( fileName, 'w' ) )
|
| 609 |
|
|
|
| 610 |
|
|
def Load(self, fileName):
|
| 611 |
|
|
self = pickle.load( open( fileName ) )
|
