UserCode/RateMonShiftTool_dev/DatabaseRatePredictor.py

#!/usr/bin/env python

from DatabaseParser import *
from GetListOfRuns import *
import sys
import os
from numpy import *
import pickle

from ROOT import gROOT, TCanvas, TF1, TGraph, TGraphErrors, TPaveStats, gPad, gStyle
from ROOT import TFile, TPaveText
from ROOT import gBenchmark
import array
import math
from ReadConfig import RateMonConfig

from selectionParser import selectionParser

def main():

    ## Can use any combination of LowestRunNumber, HighestRunNumber, and NumberOfRuns -
    ## just modify "ExistingRuns.sort" and for "run in ExistingRuns" accordingly

    LowestRunNumber = 176000
    HighestRunNumber = 180252
    NumberOfRuns = 1

    run_list = []
    ExistingRuns = GetLatestRunNumber(LowestRunNumber)
    #ExistingRuns.sort(reverse = True) ##Allows you to count down from last run

    for run in ExistingRuns:
        #if NumberOfRuns > 0:
        if run <= HighestRunNumber:
            run_list.append(run)
            NumberOfRuns-=1

    ##
    ## to get list of triggers
    ##
    Config = RateMonConfig(os.path.abspath(os.path.dirname(sys.argv[0])))
    Config.CFGfile="defaults.cfg"
    Config.ReadCFG()

##     ###### TO CREATE FITS #########
##     #run_list = [179497,179547,179558,179563,179889,179959,179977,180072,180076,180093,180241,180250,180252]
##     #run_list = [180241]
##     trig_name = "IsoMu"
##     num_ls = 10
##     physics_active_psi = True ##Requires that physics and active be on, and that the prescale column is not 0
##     #JSON = [] ##To not use a JSON file, just leave the array empty
##     JSON = GetJSON("Cert_160404-180252_7TeV_PromptReco_Collisions11_JSON.txt") ##Returns array JSON[runs][ls_list]
    
##     debug_print = False

##     min_rate = 0.1
##     print_table = False
##     data_clean = True ##Gets rid of anomalous rate points, reqires physics_active_psi (PAP) and deadtime < 20%
##     ##plot_properties = [varX, varY, do_fit, save_root, save_png, fit_file]
##     plot_properties = [["delivered", "rate", True, False, False, ""]]

##     masked_triggers = ["AlCa_", "DST_", "HLT_L1", "HLT_L2", "HLT_Zero"]
##     save_fits = True
##     max_dt=2.0 ## no deadtime cut 

    ###### TO SEE RATE VS PREDICTION ########
    run_list = [180250]

    trig_name = "HLT"
    ##trig_list = ["HLT_IsoMu24_eta2p1","HLT_HT650"]
    trig_list=Config.MonitorList
    num_ls = 1
    physics_active_psi = True
    JSON = []
    debug_print = False

    min_rate = 1.0
    print_table = False
    data_clean = True
    ##plot_properties = [varX, varY, do_fit, save_root, save_png, fit_file]
    plot_properties = [["ls", "rawrate", False, True, False, "Fits/2011/Fit_HLT_10LS_Run176023to180252.pkl"]]
    masked_triggers = ["AlCa_", "DST_", "HLT_L1", "HLT_L2", "HLT_Zero"]
    save_fits = False
    max_dt=2.0 ## no deadtime cut
    SubSystemOff={'Any':False,'Mu':False,'HCal':True,'ECal':False,'Tracker':False,'EndCap':False}
    print SubSystemOff.keys()
    print SubSystemOff.values()
    
    
    ########  END PARAMETERS - CALL FUNCTIONS ##########
    [Rates,LumiPageInfo]= GetDBRates(run_list, trig_name, num_ls, max_dt, physics_active_psi, JSON, debug_print)
    ##if not checkLS(Rates,LumiPageInfo,trig_list):
    ##    print "Missing LS!"
    
    MakePlots(Rates, LumiPageInfo, run_list, trig_name, trig_list, num_ls, min_rate, max_dt, print_table, data_clean, plot_properties, masked_triggers, save_fits, debug_print,SubSystemOff)
    

def GetDBRates(run_list,trig_name,num_ls, max_dt, physics_active_psi,JSON,debug_print):
    
    Rates = {}
    LumiPageInfo={}
    ## Save in RefRuns with name dependent on trig_name, num_ls, JSON, and physics_active_psi
    if JSON:
        if physics_active_psi:
            RefRunNameTemplate = "RefRuns/2011/Rates_%s_%sLS_JPAP.pkl"
        else:
            RefRunNameTemplate = "RefRuns/2011/Rates_%s_%sLS_JSON.pkl"
    else:
        if physics_active_psi:
            RefRunNameTemplate = "RefRuns/2011/Rates_%s_%sLS_PAP.pkl"
        else:
            RefRunNameTemplate = "RefRuns/2011/Rates_%s_%sLS.pkl"
        
    
    RefRunFile = RefRunNameTemplate % (trig_name,num_ls)
    RefRunFileHLT = RefRunNameTemplate % ("HLT",num_ls)

    print "RefRun=",RefRunFile
    print "RefRunFileHLT",RefRunFileHLT
    try: ##Open an existing RefRun file with the same parameters and trigger name
        pkl_file = open(RefRunFile, 'rb')
        Rates = pickle.load(pkl_file)
        pkl_file.close()
        os.remove(RefRunFile)
        print "using",RefRunFile

 
    except:
        try: ##Open an existing RefRun file with the same parameters and HLT for trigger name
            pkl_file = open(RefRunFileHLT)
            HLTRates = pickle.load(pkl_file)
            for key in HLTRates:
                if trig_name in str(key):
                    Rates[key] = HLTRates[key]
            #print str(RefRunFile)+" does not exist. Creating ..."
        except:
            print str(RefRunFile)+" does not exist. Creating ..."
         
## try the lumis file
    RefLumiNameTemplate = "RefRuns/2011/Lumis_%s_%sLS.pkl"        
    RefLumiFile= RefLumiNameTemplate % ("HLT",num_ls)        
    try:
        pkl_lumi_file = open(RefLumiFile, 'rb')
        LumiPageInfo = pickle.load(pkl_lumi_file)
        pkl_lumi_file.close()
        os.remove(RefLumiFile)
        print "using",RefLumiFile
    except:
        print str(RefLumiFile)+" doesn't exist. Make it..."

    for RefRunNum in run_list:

        if JSON:
            if not RefRunNum in JSON:
                continue
        try:
            
            ExistsAlready = False
            for key in Rates:
                if RefRunNum in Rates[key]["run"]:
                    ExistsAlready = True
                    break
            
            
            LumiExistsLAready=False
            for v in LumiPageInfo.itervalues():
                #print RefRunNum, v["Run"]

                if RefRunNum == v["Run"]:
                    LumiExistsAlready=True
                    break
            if ExistsAlready and LumiExistsAlready:
                continue
                    
           
        except:
            print "Getting info for run "+str(RefRunNum)
        
        if RefRunNum < 1:
            continue
        print "calculating rates and green lumis"
       
        if True: ##Placeholder
            if True: #May replace with "try" - for now it's good to know when problems happen
                RefParser = DatabaseParser()
                RefParser.RunNumber = RefRunNum
                RefParser.ParseRunSetup()
                RefLumiRangePhysicsActive = RefParser.GetLSRange(1,9999) ##Gets array of all LS with physics and active on
                RefLumiArray = RefParser.GetLumiInfo() ##Gets array of all existing LS and their lumi info
                RefLumiRange = []
                RefMoreLumiArray = RefParser.GetMoreLumiInfo()#dict with keys as bits from lumisections WBM page and values are dicts with key=LS:value=bit 
                
             
                for iterator in RefLumiArray[0]: ##Makes array of LS with proper PAP and JSON properties
                    if not physics_active_psi or (RefLumiArray[5][iterator] == 1 and RefLumiArray[6][iterator] == 1 and RefLumiArray[0][iterator] > 0):
                        if not JSON or RefRunNum in JSON:
                            if not JSON or iterator in JSON[RefRunNum]:
                                RefLumiRange.append(iterator)
                    #print iterator, RefLumiArray[0][iterator], "active=",RefLumiArray[5][iterator],"physics=",RefLumiArray[6][iterator], "HBHEA=",RefLumiArray[7][iterator],
                    #print "hbhea=",RefMoreLumiArray['hbhea'][iterator]
                    
                try:
                    nls = RefLumiRange[0]
                    LSRange = {}
                except:
                    print "Run "+str(RefRunNum)+" has no good LS"
                    continue
                if num_ls > len(RefLumiRange):
                    print "Run "+str(RefRunNum)+" is too short: from "+str(nls)+" to "+str(RefLumiRange[-1])+", while num_ls = "+str(num_ls)
                    continue
                while nls < RefLumiRange[-1]-num_ls:
                    LSRange[nls] = []
                    counter = 0
                    for iterator in RefLumiRange:
                        if iterator >= nls and counter < num_ls:
                            LSRange[nls].append(iterator)
                            counter += 1
                    nls = LSRange[nls][-1]+1

                print "Run "+str(RefRunNum)+" contains LS from "+str(min(LSRange))+" to "+str(max(LSRange))
                for nls in sorted(LSRange.iterkeys()):
                    
                    TriggerRates = RefParser.GetHLTRates(LSRange[nls])

                    [inst, live, delivered, dead, pscols] = RefParser.GetAvLumiInfo(LSRange[nls])

                    physics = 1
                    active = 1
                    psi = 99
                    for iterator in LSRange[nls]: ##Gets lowest value of physics, active, and psi in the set of lumisections
                        if RefLumiArray[5][iterator] == 0:
                            physics = 0
                        if RefLumiArray[6][iterator] == 0:
                            active = 0
                        if RefLumiArray[0][iterator] < psi:
                            psi = RefLumiArray[0][iterator]

                    MoreLumiMulti=LumiRangeGreens(RefMoreLumiArray,LSRange,nls,RefRunNum)
                    
                    #print MoreLumiMulti.keys()
#                    print "\n\n\n"

                    
                    if inst < 0 or live < 0 or delivered < 0:
                        print "Run "+str(RefRunNum)+" LS "+str(nls)+" inst lumi = "+str(inst)+" live lumi = "+str(live)+", delivered = "+str(delivered)+", physics = "+str(physics)+", active = "+str(active)


                    LumiPageInfo[nls]=MoreLumiMulti
                    ##print LumiPageInfo[nls]
##                         try:
##                             LumiPageInfo[keys].append(values)
##                         except:
##                             print "Failed",RefRunNum, nls, keys

                    for key in TriggerRates:
                        if not trig_name in key:
                            continue
                        name = key
                        if re.match('.*_v[0-9]+',name): ##Removes _v#
                            name = name[:name.rfind('_')]

                        if not Rates.has_key(name):
                            Rates[name] = {}
                            Rates[name]["run"] = []
                            Rates[name]["ls"] = []
                            Rates[name]["ps"] = []
                            Rates[name]["inst_lumi"] = []
                            Rates[name]["live_lumi"] = []
                            Rates[name]["delivered_lumi"] = []
                            Rates[name]["deadtime"] = []
                            Rates[name]["rawrate"] = []
                            Rates[name]["rate"] = []
                            Rates[name]["rawxsec"] = []
                            Rates[name]["xsec"] = []
                            Rates[name]["physics"] = []
                            Rates[name]["active"] = []
                            Rates[name]["psi"] = []

                            #for keys, values in MoreLumiMulti.iteritems():
                            #    Rates[name][keys] = []
                        
                            
                        [avps, ps, rate, psrate] = TriggerRates[key]
                        Rates[name]["run"].append(RefRunNum)
                        Rates[name]["ls"].append(nls)
                        Rates[name]["ps"].append(ps)
                        Rates[name]["inst_lumi"].append(inst)
                        Rates[name]["live_lumi"].append(live)
                        Rates[name]["delivered_lumi"].append(delivered)
                        Rates[name]["deadtime"].append(dead)
                        Rates[name]["rawrate"].append(rate)
                        if live == 0:
                            Rates[name]["rate"].append(0)
                            Rates[name]["rawxsec"].append(0.0)
                            Rates[name]["xsec"].append(0.0)
                        else:
                            Rates[name]["rate"].append(psrate/(1.0-dead))
                            Rates[name]["rawxsec"].append(rate/live)
                            Rates[name]["xsec"].append(psrate/live)
                        Rates[name]["physics"].append(physics)
                        Rates[name]["active"].append(active)
                        Rates[name]["psi"].append(psi)

                        
                        #for keys, values in MoreLumiMulti.iteritems():
                        #    Rates[name][keys].append(values)
                            #print nls, name, keys, values
                #print " "        
            #except: ##If we replace "if True:" with "try:"
                #print "Failed to parse run "+str(RefRunNum)

    RateOutput = open(RefRunFile, 'wb') ##Save new Rates[] to RefRuns
    pickle.dump(Rates, RateOutput, 2)
    RateOutput.close()
    LumiOutput = open(RefLumiFile,'wb')
    pickle.dump(LumiPageInfo,LumiOutput, 2)
    LumiOutput.close()
    
    
    return [Rates,LumiPageInfo]

def MakePlots(Rates, LumiPageInfo, run_list, trig_name, trig_list, num_ls, max_dt, min_rate, print_table, data_clean, plot_properties, masked_triggers, save_fits, debug_print, SubSystemOff):
    min_run = min(run_list)
    max_run = max(run_list)

    InputFit = {}
    OutputFit = {}

    RootNameTemplate = "%s_%sLS_Run%sto%s.root"
    RootFile = RootNameTemplate % (trig_name, num_ls, min_run, max_run)

    for varX, varY, do_fit, save_root, save_png, fit_file in plot_properties:
        if fit_file:
            pkl_file = open(fit_file, 'rb')
            InputFit = pickle.load(pkl_file)
            pkl_file.close()
        if save_root:
            try:
                os.remove(RootFile)
            except:
                break

    for print_trigger in Rates:
        ##Limits Rates[] to runs in run_list
        NewTrigger = {}
        if not print_trigger in trig_list:
            continue
        for key in Rates[print_trigger]:
            NewTrigger[key] = []
        for iterator in range (len(Rates[print_trigger]["run"])):
            if Rates[print_trigger]["run"][iterator] in run_list:
                for key in Rates[print_trigger]:
                    NewTrigger[key].append(Rates[print_trigger][key][iterator])
        Rates[print_trigger] = NewTrigger
        
        meanrawrate = sum(Rates[print_trigger]["rawrate"])/len(Rates[print_trigger]["rawrate"])
        if not trig_name in print_trigger:
            continue
        if meanrawrate < min_rate:
            continue
        masked_trig = False
        for mask in masked_triggers:
            if str(mask) in print_trigger:
                masked_trig = True
        if masked_trig:
            continue
                
        OutputFit[print_trigger] = {}

        lowlumi = 0
        meanlumi_init = median(Rates[print_trigger]["live_lumi"])
        meanlumi = 0
        highlumi = 0
        lowxsec = 0
        meanxsec = 0
        highxsec = 0
        nlow = 0
        nhigh = 0
        for iterator in range(len(Rates[print_trigger]["rate"])):
            if Rates[print_trigger]["live_lumi"][iterator] <= meanlumi_init:
                if ( Rates[print_trigger]["rawrate"][iterator] > 0.04 and Rates[print_trigger]["physics"][iterator] == 1 and Rates[print_trigger]["active"][iterator] == 1 and Rates[print_trigger]["deadtime"][iterator] < 0.20 and Rates[print_trigger]["psi"][iterator] > 0 and Rates[print_trigger]["live_lumi"] > 500):
                    meanxsec+=Rates[print_trigger]["xsec"][iterator]
                    lowxsec+=Rates[print_trigger]["xsec"][iterator]
                    meanlumi+=Rates[print_trigger]["live_lumi"][iterator]
                    lowlumi+=Rates[print_trigger]["live_lumi"][iterator]
                    nlow+=1
            if Rates[print_trigger]["live_lumi"][iterator] > meanlumi_init:
                if ( Rates[print_trigger]["rawrate"][iterator] > 0.04 and Rates[print_trigger]["physics"][iterator] == 1 and Rates[print_trigger]["active"][iterator] == 1 and Rates[print_trigger]["deadtime"][iterator] < 0.20 and Rates[print_trigger]["psi"][iterator] > 0 and Rates[print_trigger]["live_lumi"] > 500):
                    meanxsec+=Rates[print_trigger]["xsec"][iterator]
                    highxsec+=Rates[print_trigger]["xsec"][iterator]
                    meanlumi+=Rates[print_trigger]["live_lumi"][iterator]
                    highlumi+=Rates[print_trigger]["live_lumi"][iterator]
                    nhigh+=1
        try:
            meanxsec = meanxsec/(nlow+nhigh)
            meanlumi = meanlumi/(nlow+nhigh)
            slopexsec = ( (highxsec/nhigh) - (lowxsec/nlow) ) / ( (highlumi/nhigh) - (lowlumi/nlow) )
        except:
            print str(print_trigger)+" has no good datapoints - setting initial xsec slope estimate to 0"
            meanxsec = median(Rates[print_trigger]["xsec"])
            meanlumi = median(Rates[print_trigger]["live_lumi"])
            slopexsec = 0

        [run_t,ls_t,ps_t,inst_t,live_t,delivered_t,deadtime_t,rawrate_t,rate_t,rawxsec_t,xsec_t,psi_t,e_run_t,e_ls_t,e_ps_t,e_inst_t,e_live_t,e_delivered_t,e_deadtime_t,e_rawrate_t,e_rate_t,e_rawxsec_t,e_xsec_t,e_psi_t,rawrate_fit_t,rate_fit_t,rawxsec_fit_t,xsec_fit_t,e_rawrate_fit_t,e_rate_fit_t,e_rawxsec_fit_t,e_xsec_fit_t] = MakePlotArrays()

        if fit_file:
            FitType = InputFit[print_trigger][0]
            X0 = InputFit[print_trigger][1]
            X1 = InputFit[print_trigger][2]
            X2 = InputFit[print_trigger][3]
            X3 = InputFit[print_trigger][4]
            Chi2 = InputFit[print_trigger][5]
            ##print str(print_trigger)+"  "+str(FitType)+"  "+str(X0)+"  "+str(X1)+"  "+str(X2)+"  "+str(X3)
        ## we are 2 lumis off when we start! -gets worse when we skip lumis
        it_offset=2
        for iterator in range(len(Rates[print_trigger]["rate"])):
            if not Rates[print_trigger]["run"][iterator] in run_list:
                continue
            prediction = meanxsec + slopexsec * (Rates[print_trigger]["live_lumi"][iterator] - meanlumi)
            realvalue = Rates[print_trigger]["xsec"][iterator]
            
            #if not data_clean or ( ((realvalue > 0.4*prediction and realvalue < 2.5*prediction) or (realvalue > 0.4*meanxsec and realvalue < 2.5*meanxsec) or prediction < 0 ) and Rates[print_trigger]["physics"][iterator] == 1 and Rates[print_trigger]["active"][iterator] == 1 and Rates[print_trigger]["deadtime"][iterator] < 0.20 and Rates[print_trigger]["psi"][iterator] > 0):
            if pass_cuts(data_clean, realvalue, prediction, meanxsec, Rates, print_trigger, iterator, num_ls,LumiPageInfo,SubSystemOff):

                if num_ls==1:
                ##fit is 2 ls ahead of real rate
                    fit_iterator=iterator+it_offset
                    if fit_iterator>(len(Rates[print_trigger]["rate"])-1):
                    ##don't let fit_iterator go above the length of the array
                        fit_iterator=iterator
                     
                run_t.append(Rates[print_trigger]["run"][iterator])
                ls_t.append(Rates[print_trigger]["ls"][iterator])
                ps_t.append(Rates[print_trigger]["ps"][iterator])
                inst_t.append(Rates[print_trigger]["inst_lumi"][iterator])
                live_t.append(Rates[print_trigger]["live_lumi"][fit_iterator])
                delivered_t.append(Rates[print_trigger]["delivered_lumi"][fit_iterator])
                deadtime_t.append(Rates[print_trigger]["deadtime"][fit_iterator])
                rawrate_t.append(Rates[print_trigger]["rawrate"][iterator])
                rate_t.append(Rates[print_trigger]["rate"][iterator])
                rawxsec_t.append(Rates[print_trigger]["rawxsec"][iterator])
                xsec_t.append(Rates[print_trigger]["xsec"][iterator])
                psi_t.append(Rates[print_trigger]["psi"][iterator])

                e_run_t.append(0.0)
                e_ls_t.append(0.0)
                e_ps_t.append(0.0)
                e_inst_t.append(14.14)
                e_live_t.append(14.14)
                e_delivered_t.append(14.14)
                e_deadtime_t.append(0.01)
                e_rawrate_t.append(math.sqrt(Rates[print_trigger]["rawrate"][iterator]/(num_ls*23.3)))
                e_rate_t.append(Rates[print_trigger]["ps"][iterator]*math.sqrt(Rates[print_trigger]["rawrate"][iterator]/(num_ls*23.3)))
                e_psi_t.append(0.0)
                if live_t[-1] == 0:
                    e_rawxsec_t.append(0)
                    e_xsec_t.append(0)
                else:
                    e_rawxsec_t.append(math.sqrt(Rates[print_trigger]["rawrate"][iterator]/(num_ls*23.3))/Rates[print_trigger]["live_lumi"][iterator])
                    e_xsec_t.append(Rates[print_trigger]["ps"][iterator]*math.sqrt(Rates[print_trigger]["rawrate"][iterator]/(num_ls*23.3))/Rates[print_trigger]["live_lumi"][iterator])

                if fit_file:
                    if FitType == "expo":
                        rate_prediction = X0 + X1*math.exp(X2*delivered_t[-1])
                    else:
                        rate_prediction = X0 + X1*delivered_t[-1] + X2*delivered_t[-1]*delivered_t[-1] + X3*delivered_t[-1]*delivered_t[-1]*delivered_t[-1]
##                     if rate_t[-1] < 0.7 * rate_prediction or rate_t[-1] > 1.4 * rate_prediction:
##                         print str(run_t[-1])+"  "+str(ls_t[-1])+"  "+str(print_trigger)+"  "+str(ps_t[-1])+"  "+str(deadtime_t[-1])+"  "+str(rate_prediction)+"  "+str(rate_t[-1])+"  "+str(rawrate_t[-1])

                    if live_t[-1] == 0:
                        rawrate_fit_t.append(0)
                        rate_fit_t.append(0)
                        rawxsec_fit_t.append(0)
                        xsec_fit_t.append(0)
                        e_rawrate_fit_t.append(0)
                        e_rate_fit_t.append(math.sqrt(Chi2))
                        e_rawxsec_fit_t.append(0)
                        e_xsec_fit_t.append(0)
                    else:
                        rawrate_fit_t.append(rate_prediction*(1.0-deadtime_t[-1])/(ps_t[-1]))
                        rate_fit_t.append(rate_prediction)
                        rawxsec_fit_t.append(rawrate_fit_t[-1]/live_t[-1])
                        xsec_fit_t.append(rate_prediction*(1.0-deadtime_t[-1])/live_t[-1])
                        e_rawrate_fit_t.append(math.sqrt(Chi2)*rawrate_fit_t[-1]/rate_fit_t[-1])
                        e_rate_fit_t.append(math.sqrt(Chi2))
                        e_rawxsec_fit_t.append(math.sqrt(Chi2)*rawxsec_fit_t[-1]/rate_fit_t[-1])
                        e_xsec_fit_t.append(math.sqrt(Chi2)*xsec_fit_t[-1]/rate_fit_t[-1])

                #print iterator, fit_iterator, "ls=",ls_t[-1], "rate=",round(rawrate_t[-1],2), "deadtime=",round(deadtime_t[-1],2), "rawrate_fit=",round(rawrate_fit_t[-1],2), "max it=",len(Rates[print_trigger]["rate"])


            else: ##If the data point does not pass the data_clean filter
                if debug_print:
                    print str(print_trigger)+" has xsec "+str(round(Rates[print_trigger]["xsec"][iterator],6))+" at lumi "+str(round(Rates[print_trigger]["live_lumi"][iterator],2))+" where the expected value is "+str(prediction)

        ## End "for iterator in range(len(Rates[print_trigger]["rate"])):" loop

        AllPlotArrays = [run_t,ls_t,ps_t,inst_t,live_t,delivered_t,deadtime_t,rawrate_t,rate_t,rawxsec_t,xsec_t,psi_t,e_run_t,e_ls_t,e_ps_t,e_inst_t,e_live_t,e_delivered_t,e_deadtime_t,e_rawrate_t,e_rate_t,e_rawxsec_t,e_xsec_t,e_psi_t,rawrate_fit_t,rate_fit_t,rawxsec_fit_t,xsec_fit_t,e_rawrate_fit_t,e_rate_fit_t,e_rawxsec_fit_t,e_xsec_fit_t]
        [VX, VXE, VY, VYE, VF, VFE] = GetVXVY(plot_properties, fit_file, AllPlotArrays)

        if save_root or save_png:
            c1 = TCanvas(str(varX),str(varY))
            c1.SetName(str(print_trigger)+"_"+str(varY)+"_vs_"+str(varX))

        gr1 = TGraphErrors(len(VX), VX, VY, VXE, VYE)
        gr1.SetName("Graph_"+str(print_trigger)+"_"+str(varY)+"_vs_"+str(varX))
        gr1.GetXaxis().SetTitle(varX)
        gr1.GetYaxis().SetTitle(varY)
        gr1.SetTitle(str(print_trigger))
        gr1.SetMinimum(0)
        gr1.SetMaximum(1.2*max(VY))
        #gr1.GetXaxis().SetLimits(min(VX)-0.2*max(VX),1.2*max(VX))
        gr1.GetXaxis().SetLimits(0,1.2*max(VX))
        gr1.SetMarkerStyle(8)
        if fit_file:
            gr1.SetMarkerSize(0.8)
        else:
            gr1.SetMarkerSize(0.5)
        gr1.SetMarkerColor(2)

        if fit_file:
            gr3 = TGraphErrors(len(VX), VX, VF, VXE, VFE)
            gr3.SetMarkerStyle(8)
            gr3.SetMarkerSize(0.4)
            gr3.SetMarkerColor(4)
            gr3.SetFillColor(4)
            gr3.SetFillStyle(3003)
            
        if do_fit:
            if "rate" in varY:
                f1a = TF1("f1a","pol2",0,8000)
                f1a.SetLineColor(4)
                f1a.SetLineWidth(2)
                f1a.SetParLimits(0,0,0.2*(sum(VY)/len(VY))+0.8*min(VY))
                f1a.SetParLimits(1,0,2.0*max(VY)/(max(VX)*max(VX)))
                #gr1.Fit("f1a","B","Q")
                gr1.Fit("f1a","Q","rob=0.90")
                
                f1b = 0
                f1c = 0
                if True:
                    f1b = TF1("f1b","pol3",0,8000)
                    f1b.SetLineColor(2)
                    f1b.SetLineWidth(2)
                    f1b.SetParLimits(0,0,0.2*(sum(VY)/len(VY))+0.8*min(VY))
                    f1b.SetParLimits(1,0,f1a.GetParameter(1)+0.0000001)
                    f1b.SetParLimits(2,0,f1a.GetParameter(2)+0.0000000001)
                    f1b.SetParLimits(3,0,2.0*max(VY)/(max(VX)*max(VX)*max(VX)))
                    gr1.Fit("f1b","Q","rob=0.90")
                    #if f1b.GetChisquare()/f1b.GetNDF() < f1a.GetChisquare()/f1a.GetNDF():
                    print "X0 = "+str(f1a.GetParameter(0))+" X1 = "+str(f1a.GetParameter(1))+" X2 = "+str(f1a.GetParameter(2))
                    print str(print_trigger)+" f1a Chi2 = "+str(10*f1a.GetChisquare()*math.sqrt(len(VY))/(math.sqrt(sum(VY))*num_ls*f1a.GetNDF()))+", f1b Chi2 = "+str(10*f1b.GetChisquare()*math.sqrt(len(VY))/(math.sqrt(sum(VY))*num_ls*f1b.GetNDF()))
                    print "X0 = "+str(f1b.GetParameter(0))+" X1 = "+str(f1b.GetParameter(1))+" X2 = "+str(f1b.GetParameter(2))+" X3 = "+str(f1b.GetParameter(3)) 
                    
                    f1c = TF1("f1c","[0]+[1]*expo(2)",0,8000)
                    f1c.SetLineColor(3)
                    f1c.SetLineWidth(2)
                    f1c.SetParLimits(0,0,0.2*(sum(VY)/len(VY))+0.8*min(VY))
                    f1c.SetParLimits(1,max(VY)/math.exp(10.0),max(VY)/math.exp(2.0))
                    f1c.SetParLimits(2,0.0,0.0000000001)
                    f1c.SetParLimits(3,2.0/max(VX),10.0/max(VX))
                    print str(max(VY)/math.exp(2.0))+"  "+str(10.0/max(VX))
                    gr1.Fit("f1c","Q","rob=0.90")
                    #if f1c.GetChisquare()/f1c.GetNDF() < f1a.GetChisquare()/f1a.GetNDF():
                    print str(print_trigger)+" f1a Chi2 = "+str(10*f1a.GetChisquare()*math.sqrt(len(VY))/(math.sqrt(sum(VY))*num_ls*f1a.GetNDF()))+", f1c Chi2 = "+str(10*f1c.GetChisquare()*math.sqrt(len(VY))/(math.sqrt(sum(VY))*num_ls*f1c.GetNDF()))
                    print "X0 = "+str(f1c.GetParameter(0))+" X1 = "+str(f1c.GetParameter(1))+" X2 = "+str(f1c.GetParameter(2))+" X3 = "+str(f1c.GetParameter(3))
                        
            else: ##If this is not a rate plot
                f1a = TF1("f1a","pol1",0,8000)
                f1a.SetLineColor(4)
                f1a.SetLineWidth(2)
                if "xsec" in varY:
                    f1a.SetParLimits(0,0,meanxsec*1.5)
                    if slopexsec > 0:
                        f1a.SetParLimits(1,0,max(VY)/max(VX))
                    else:
                        f1a.SetParLimits(1,2*slopexsec,-2*slopexsec)
                else:
                    f1a.SetParLimits(0,-1000,1000)
                gr1.Fit("f1a","Q","rob=0.80")

        if save_root or save_png:
            gr1.Draw("APZ")
##                 ##Option to draw stats box
##                 p1 = TPaveStats()                                                                                                                           
##                 p1 = gr1.GetListOfFunctions().FindObject("stats")                                                                                           
##                 print p1                                                                                                                                    
##                 gr1.PaintStats(f1b).Draw("same")                                                                                                               
            if fit_file:
                gr3.Draw("P3")
            if do_fit:
                f1a.Draw("same")
                try:
                    f1b.Draw("same")
                    f1c.Draw("same")
                except:
                    True
            c1.Update()
            if save_root:
                myfile = TFile( RootFile, 'UPDATE' )
                c1.Write()
                myfile.Close()
            if save_png:
                c1.SaveAs(str(print_trigger)+"_"+str(varY)+"_vs_"+str(varX)+".png")
                

        if print_table or save_fits:
            if not do_fit:
                print "Can't have save_fits = True and do_fit = False"
                continue
            if f1c.GetChisquare()/f1c.GetNDF() < 0.95*f1a.GetChisquare()/f1a.GetNDF() and f1c.GetChisquare()/f1c.GetNDF() < 0.95*f1b.GetChisquare()/f1b.GetNDF():
                OutputFit[print_trigger] = ["expo", f1c.GetParameter(0), f1c.GetParameter(1), f1c.GetParameter(3), 0.0, f1c.GetChisquare()/f1c.GetNDF(), meanrawrate]
            elif f1b.GetChisquare()/f1b.GetNDF() < 0.95*f1a.GetChisquare()/f1a.GetNDF():
                OutputFit[print_trigger] = ["poly", f1b.GetParameter(0), f1b.GetParameter(1), f1b.GetParameter(2), f1b.GetParameter(3), f1b.GetChisquare()/f1b.GetNDF(), meanrawrate]
            else:
                OutputFit[print_trigger] = ["poly", f1a.GetParameter(0), f1a.GetParameter(1), f1a.GetParameter(2), 0.0, f1a.GetChisquare()/f1a.GetNDF(), meanrawrate]

    if save_root:
        print "Output root file is "+str(RootFile)

    if save_fits:
        FitNameTemplate = "Fits/2011/Fit_%s_%sLS_Run%sto%s.pkl"
        FitFile = FitNameTemplate % (trig_name, num_ls, min_run, max_run)
        if os.path.exists(FitFile):
            os.remove(FitFile)
        FitOutputFile = open(FitFile, 'wb')
        pickle.dump(OutputFit, FitOutputFile, 2)
        FitOutputFile.close()
        print "Output fit file is "+str(FitFile)

    if print_table:
        print "The expo fit is of the form p0+p1*e^(p2*x), poly is p0+(p1/10^3)*x+(p2/10^6)*x^2+(p3/10^9)*x^3, where x is Deliv. Lumi."
        print '%60s%10s%10s%10s%10s%10s%10s%10s' % ("Trig", "fit", "p0", "p1", "p2", "p3", "Chi2", "Av raw")
        for print_trigger in OutputFit:
            _trigger = (print_trigger[:56] + '...') if len(print_trigger) > 59 else print_trigger
            try:
                if OutputFit[print_trigger][0] == "poly":
                    print '%60s%10s%10s%10s%10s%10s%10s' % (_trigger, OutputFit[print_trigger][0], round(OutputFit[print_trigger][1],3), round(OutputFit[print_trigger][2],6)*1000, round(OutputFit[print_trigger][3],9)*1000000, round(OutputFit[print_trigger][4],12)*1000000000, round(OutputFit[print_trigger][5],2), round(OutputFit[print_trigger][6],3))
                else:
                    print '%60s%10s%10s%10s%10s%10s%10s' % (_trigger, OutputFit[print_trigger][0], OutputFit[print_trigger][1], OutputFit[print_trigger][2], OutputFit[print_trigger][3], OutputFit[print_trigger][4], round(OutputFit[print_trigger][5],2), round(OutputFit[print_trigger][6],3))
            except:
                print str(print_trigger)+" is somehow broken"


  ############# SUPPORTING FUNCTIONS ################


def GetJSON(json_file):

    input_file = open(json_file)
    file_content = input_file.read()
    inputRange = selectionParser(file_content)
    JSON = inputRange.runsandls()
    return JSON
    ##JSON is an array: JSON[run_number] = [1st ls, 2nd ls, 3rd ls ... nth ls]

def MakePlotArrays():
    run_t = array.array('f')
    ls_t = array.array('f')
    ps_t = array.array('f')
    inst_t = array.array('f')
    live_t = array.array('f')
    delivered_t = array.array('f')
    deadtime_t = array.array('f')
    rawrate_t = array.array('f')
    rate_t = array.array('f')
    rawxsec_t = array.array('f')
    xsec_t = array.array('f')
    psi_t = array.array('f')
    
    e_run_t = array.array('f')
    e_ls_t = array.array('f')
    e_ps_t = array.array('f')
    e_inst_t = array.array('f')
    e_live_t = array.array('f')
    e_delivered_t = array.array('f')
    e_deadtime_t = array.array('f')
    e_rawrate_t = array.array('f')
    e_rate_t = array.array('f')
    e_rawxsec_t = array.array('f')
    e_xsec_t = array.array('f')
    e_psi_t = array.array('f')
    
    rawrate_fit_t = array.array('f')
    rate_fit_t = array.array('f')
    rawxsec_fit_t = array.array('f')
    xsec_fit_t = array.array('f')
    e_rawrate_fit_t = array.array('f')
    e_rate_fit_t = array.array('f')
    e_rawxsec_fit_t = array.array('f')
    e_xsec_fit_t = array.array('f')
    
    return [run_t,ls_t,ps_t,inst_t,live_t,delivered_t,deadtime_t,rawrate_t,rate_t,rawxsec_t,xsec_t,psi_t,e_run_t,e_ls_t,e_ps_t,e_inst_t,e_live_t,e_delivered_t,e_deadtime_t,e_rawrate_t,e_rate_t,e_rawxsec_t,e_xsec_t,e_psi_t,rawrate_fit_t,rate_fit_t,rawxsec_fit_t,xsec_fit_t,e_rawrate_fit_t,e_rate_fit_t,e_rawxsec_fit_t,e_xsec_fit_t]


def GetVXVY(plot_properties, fit_file, AllPlotArrays):

    VF = "0"
    VFE = "0"

    [run_t,ls_t,ps_t,inst_t,live_t,delivered_t,deadtime_t,rawrate_t,rate_t,rawxsec_t,xsec_t,psi_t,e_run_t,e_ls_t,e_ps_t,e_inst_t,e_live_t,e_delivered_t,e_deadtime_t,e_rawrate_t,e_rate_t,e_rawxsec_t,e_xsec_t,e_psi_t,rawrate_fit_t,rate_fit_t,rawxsec_fit_t,xsec_fit_t,e_rawrate_fit_t,e_rate_fit_t,e_rawxsec_fit_t,e_xsec_fit_t] = AllPlotArrays
    for varX, varY, do_fit, save_root, save_png, fit_file in plot_properties:
        if varX == "run":
            VX = run_t
            VXE = run_t_e
        elif varX == "ls":
            VX = ls_t
            VXE = e_ls_t
        elif varX == "ps":
            VX = ps_t
            VXE = e_ps_t
        elif varX == "inst":
            VX = inst_t
            VXE = e_inst_t
        elif varX == "live":
            VX = live_t
            VXE = e_live_t
        elif varX == "delivered":
            VX = delivered_t
            VXE = e_delivered_t
        elif varX == "deadtime":
            VX = deadtime_t
            VXE = e_deadtime_t
        elif varX == "rawrate":
            VX = rawrate_t
            VXE = e_rawrate_t
        elif varX == "rate":
            VX = rate_t
            VXE = e_rate_t
        elif varX == "rawxsec":
            VX = rawxsec_t
            VXE = e_rawxsec_t
        elif varX == "xsec":
            VX = xsec_t
            VXE = e_xsec_t
        elif varX == "psi":
            VX = psi_t
            VXE = e_psi_t
        else:
            print "No valid variable entered for X"
            continue
        if varY == "run":
            VY = run_t
            VYE = run_t_e
        elif varY == "ls":
            VY = ls_t
            VYE = e_ls_t
        elif varY == "ps":
            VY = ps_t
            VYE = e_ps_t
        elif varY == "inst":
            VY = inst_t
            VYE = e_inst_t
        elif varY == "live":
            VY = live_t
            VYE = e_live_t
        elif varY == "delivered":
            VY = delivered_t
            VYE = e_delivered_t
        elif varY == "deadtime":
            VY = deadtime_t
            VYE = e_deadtime_t
        elif varY == "rawrate":
            VY = rawrate_t
            VYE = e_rawrate_t
            if fit_file:
                VF = rawrate_fit_t
                VFE = e_rawrate_fit_t
        elif varY == "rate":
            VY = rate_t
            VYE = e_rate_t
            if fit_file:
                VF = rate_fit_t
                VFE = e_rate_fit_t
        elif varY == "rawxsec":
            VY = rawxsec_t
            VYE = e_rawxsec_t
            if fit_file:
                VF = rawxsec_fit_t
                VFE = e_rawxsec_fit_t
        elif varY == "xsec":
            VY = xsec_t
            VYE = e_xsec_t
            if fit_file:
                VF = xsec_fit_t
                VFE = e_xsec_fit_t
        elif varY == "psi":
            VY = psi_t
            VYE = e_psi_t
        else:
            print "No valid variable entered for Y"
            continue

    return [VX, VXE, VY, VYE, VF, VFE]

def pass_cuts(data_clean, realvalue, prediction, meanxsec, Rates, print_trigger, iterator, num_ls,LumiPageInfo,SubSystemOff):
    it_offset=2
    if num_ls==1:
        ##fit is 2 ls ahead of real rate
        fit_iterator=iterator+it_offset
        if fit_iterator>(len(Rates[print_trigger]["rate"])-1):
            ##don't let fit_iterator go above the length of the array
            fit_iterator=iterator

        LS=Rates[print_trigger]["ls"][iterator]
        #print "ls=",LS,
        LSRange=LumiPageInfo[LS]["LSRange"]
        #print LSRange,
        LS2=LSRange[-1]
        #LS2=LSRange.pop()
        #print "LS2=",LS2

        #print LumiPageInfo[LS]
        lumidict={}
        lumidict=LumiPageInfo[LS]
        Passed=True
        if SubSystemOff["Any"]:
            for keys in LumiPageInfo[LS]:
                #print LS, keys, LumiPageInfo[LS][keys]
                if not LumiPageInfo[LS][keys]:
                    Passed=False
                    break
        else:
            if SubSystemOff["Mu"]:
                if not (LumiPageInfo[LS]["rpc"] or LumiPageInfo[LS]["dt0"] or LumiPageInfo[LS]["dtp"] or LumiPageInfo[LS]["dtm"] or LumiPageInfo["cscp"] or LumiPageInfo["cscm"]):
                    Passed=False
                
                    
            elif SubSystemOff["HCal"]:
                if not (LumiPageInfo[LS]["hbhea"] and LumiPageInfo[LS]["hbheb"] and LumiPageInfo[LS]["hbhec"]):
                    Passed=False
                if SubSystemOff["EndCap"] and not (LumiPageInfo[LS]["hf"]):
                    Passed=False
            elif SubSystemOff["ECal"]:
                if not (LumiPageInfo[LS]["ebp"] and LumiPageInfo[LS]["ebm"]):
                    Passed=False
                if SubSystemOff["EndCap"] and not (LumiPageInfo[LS]["eep"] and LumiPageInfo[LS]["eem"] and LumiPageInfo["esp"] or LumiPageInfo["esm"]):
                    Passed=False
            elif SubSystemOff["Tracker"]:
                if not (LumiPageInfo[LS]["tob"] and LumiPageInfo[LS]["tibtid"] and LumiPageInfo[LS]["bpix"] and LumiPageInfo[LS]["fpix"]):
                    Passed=False
                if SubSystemOff["EndCap"] and not (LumiPageInfo[LS]["tecp"] and LumiPageInfo["tecm"]):
                    Passed=False


        #print "LS",LS, Passed   
        
    if not data_clean or (
        (
        
        (
        realvalue > 0.4*prediction
        and realvalue < 2.5*prediction
        )
        
        or

        (
        realvalue > 0.4*meanxsec
        and realvalue < 2.5*meanxsec
        )

        or prediction < 0
        )
        
        and Rates[print_trigger]["physics"][iterator] == 1
        and Rates[print_trigger]["active"][iterator] == 1
        and Rates[print_trigger]["deadtime"][fit_iterator] < 0.20
        and Rates[print_trigger]["psi"][iterator] > 0
        and Passed
        ):
        return True
    else:
        return False


#### LumiRangeGreens ####    
####inputs: RefMoreLumiArray --dict with lumi page info in LS by LS blocks,
####        LRange           --list range over lumis,
####        nls              --number of lumisections
####        RefRunNum        --run number
####
####outputs RangeMoreLumi    --lumi page info in dict LSRange blocks with lumi, added items Run and LSRange
def LumiRangeGreens(RefMoreLumiArray,LSRange,nls,RefRunNum):
  
    RangeMoreLumi={}
    for keys,values in RefMoreLumiArray.iteritems():
        RangeMoreLumi[keys]=1
  
    for iterator in LSRange[nls]:
        for keys, values in RefMoreLumiArray.iteritems():
            if RefMoreLumiArray[keys][iterator]==0:
                RangeMoreLumi[keys]=0
    RangeMoreLumi['LSRange']=LSRange[nls]
    RangeMoreLumi['Run']=RefRunNum

    return RangeMoreLumi
                        
#### CheckLumis ####
####inputs: 
####        PageLumiInfo      --dict of LS with dict of some lumipage info
####        Rates            --dict of triggernames with dict of info
def checkLS(Rates, PageLumiInfo,trig_list):
    rateslumis=Rates[trig_list[-1]]["ls"]
    keys=PageLumiInfo.keys()
    print "lumi run=",PageLumiInfo[keys[-1]]["Run"]
    ll=0
    for ls in keys:
        print ls,rateslumis[ll]
        ll=ll+1
    return False


if __name__=='__main__':
    main()
Revision:	1.10
Committed:	Sat Mar 10 16:25:20 2012 UTC (13 years, 1 month ago) by grchrist
Content type:	text/x-python
Branch:	MAIN
Changes since 1.9:	+153 -44 lines
Log Message:	masking by subsystem