EmDQMReco.cc

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//                    Header file for this                                    //
#include "HLTriggerOffline/Egamma/interface/EmDQMReco.h"

//                    Collaborating Class Header                              //
#include "DataFormats/EgammaCandidates/interface/Electron.h"
#include "DataFormats/HLTReco/interface/TriggerEventWithRefs.h"
#include "DataFormats/RecoCandidate/interface/RecoEcalCandidate.h"
#include "FWCore/Framework/interface/Frameworkfwd.h"
#include "FWCore/Framework/interface/MakerMacros.h"
#include "FWCore/ParameterSet/interface/ParameterSet.h"
//#include "DataFormats/EgammaCandidates/interface/PhotonFwd.h"
//#include "DataFormats/EgammaCandidates/interface/Photon.h"
#include "DataFormats/L1Trigger/interface/L1EmParticle.h"
#include "DataFormats/L1Trigger/interface/L1EmParticleFwd.h"
//#include "SimDataFormats/HepMCProduct/interface/HepMCProduct.h"
#include "DataFormats/Common/interface/AssociationMap.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "SimDataFormats/GeneratorProducts/interface/HepMCProduct.h"

#include "DataFormats/Common/interface/Handle.h"
#include "DataFormats/Common/interface/RefToBase.h"
#include "FWCore/ServiceRegistry/interface/Service.h"
//#include "PhysicsTools/UtilAlgos/interface/TFileService.h"
#include "DataFormats/Common/interface/TriggerResults.h"
#include "DataFormats/HLTReco/interface/TriggerEvent.h"
#include "DataFormats/HLTReco/interface/TriggerObject.h"
#include "DataFormats/HLTReco/interface/TriggerTypeDefs.h"
#include "FWCore/Utilities/interface/Exception.h"
#include <boost/format.hpp>
//                           Root include files                               //
#include "TDirectory.h"
#include "TFile.h"
#include "TH1F.h"
#include <Math/VectorUtil.h>
#include <iostream>
#include <string>
using namespace ROOT::Math::VectorUtil;

//----------------------------------------------------------------------
// class EmDQMReco::FourVectorMonitorElements
//----------------------------------------------------------------------
EmDQMReco::FourVectorMonitorElements::FourVectorMonitorElements(EmDQMReco *_parent,
                                                                DQMStore::IBooker &iBooker,
                                                                const std::string &histogramNameTemplate,
                                                                const std::string &histogramTitleTemplate)
    : parent(_parent) {
  // introducing variables for better code readability later on
  std::string histName;
  std::string histTitle;

  // et
  histName = boost::str(boost::format(histogramNameTemplate) % "et");
  histTitle = boost::str(boost::format(histogramTitleTemplate) % "E_{T}");
  etMonitorElement =
      iBooker.book1D(histName.c_str(), histTitle.c_str(), parent->plotBins, parent->plotPtMin, parent->plotPtMax);

  // eta
  histName = boost::str(boost::format(histogramNameTemplate) % "eta");
  histTitle = boost::str(boost::format(histogramTitleTemplate) % "#eta");
  etaMonitorElement =
      iBooker.book1D(histName.c_str(), histTitle.c_str(), parent->plotBins, -parent->plotEtaMax, parent->plotEtaMax);

  // phi
  histName = boost::str(boost::format(histogramNameTemplate) % "phi");
  histTitle = boost::str(boost::format(histogramTitleTemplate) % "#phi");
  phiMonitorElement =
      iBooker.book1D(histName.c_str(), histTitle.c_str(), parent->plotBins, -parent->plotPhiMax, parent->plotPhiMax);
}

//----------------------------------------------------------------------

void EmDQMReco::FourVectorMonitorElements::fill(const math::XYZTLorentzVector &momentum) {
  etMonitorElement->Fill(momentum.Et());
  etaMonitorElement->Fill(momentum.eta());
  phiMonitorElement->Fill(momentum.phi());
}

//----------------------------------------------------------------------

//                             Constructor                                    //
EmDQMReco::EmDQMReco(const edm::ParameterSet &pset) {
  //          Read from configuration file                  //
  dirname_ = "HLT/HLTEgammaValidation/" + pset.getParameter<std::string>("@module_label");

  // parameters for generator study
  reqNum = pset.getParameter<unsigned int>("reqNum");
  pdgGen = pset.getParameter<int>("pdgGen");
  recoEtaAcc = pset.getParameter<double>("genEtaAcc");
  recoEtAcc = pset.getParameter<double>("genEtAcc");
  // plotting parameters (untracked because they don't affect the physics)
  plotPtMin = pset.getUntrackedParameter<double>("PtMin", 0.);
  plotPtMax = pset.getUntrackedParameter<double>("PtMax", 1000.);
  plotEtaMax = pset.getUntrackedParameter<double>("EtaMax", 2.7);
  plotPhiMax = pset.getUntrackedParameter<double>("PhiMax", 3.15);
  plotBins = pset.getUntrackedParameter<unsigned int>("Nbins", 50);
  useHumanReadableHistTitles = pset.getUntrackedParameter<bool>("useHumanReadableHistTitles", false);

  triggerNameRecoMonPath = pset.getUntrackedParameter<std::string>("triggerNameRecoMonPath", "HLT_MinBias");
  processNameRecoMonPath = pset.getUntrackedParameter<std::string>("processNameRecoMonPath", "HLT");

  recoElectronsInput = consumes<reco::GsfElectronCollection>(
      pset.getUntrackedParameter<edm::InputTag>("recoElectrons", edm::InputTag("gsfElectrons")));
  recoObjectsEBT = consumes<std::vector<reco::SuperCluster>>(edm::InputTag("correctedHybridSuperClusters"));
  recoObjectsEET =
      consumes<std::vector<reco::SuperCluster>>(edm::InputTag("correctedMulti5x5SuperClustersWithPreshower"));
  hltResultsT = consumes<edm::TriggerResults>(edm::InputTag("TriggerResults", "", processNameRecoMonPath));
  triggerObjT = consumes<trigger::TriggerEventWithRefs>(edm::InputTag("hltTriggerSummaryRAW"));

  // preselction cuts
  // recocutCollection_= pset.getParameter<edm::InputTag>("cutcollection");
  recocut_ = pset.getParameter<int>("cutnum");

  // prescale = 10;
  eventnum = 0;

  // just init
  isHltConfigInitialized_ = false;

  //         Read in the Vector of Parameter Sets.          //
  //           Information for each filter-step             //
  std::vector<edm::ParameterSet> filters = pset.getParameter<std::vector<edm::ParameterSet>>("filters");

  int i = 0;
  for (std::vector<edm::ParameterSet>::iterator filterconf = filters.begin(); filterconf != filters.end();
       filterconf++) {
    theHLTCollectionLabels.push_back(filterconf->getParameter<edm::InputTag>("HLTCollectionLabels"));
    theHLTOutputTypes.push_back(filterconf->getParameter<int>("theHLTOutputTypes"));
    // Grab the human-readable name, if it is not specified, use the Collection
    // Label
    theHLTCollectionHumanNames.push_back(
        filterconf->getUntrackedParameter<std::string>("HLTCollectionHumanName", theHLTCollectionLabels[i].label()));

    std::vector<double> bounds = filterconf->getParameter<std::vector<double>>("PlotBounds");
    // If the size of plot "bounds" vector != 2, abort
    assert(bounds.size() == 2);
    plotBounds.push_back(std::pair<double, double>(bounds[0], bounds[1]));
    isoNames.push_back(filterconf->getParameter<std::vector<edm::InputTag>>("IsoCollections"));

    for (unsigned int i = 0; i < isoNames.back().size(); i++) {
      switch (theHLTOutputTypes.back()) {
        case trigger::TriggerL1NoIsoEG:
          histoFillerL1NonIso->isoNameTokens_.push_back(
              consumes<edm::AssociationMap<edm::OneToValue<l1extra::L1EmParticleCollection, float>>>(
                  isoNames.back()[i]));
          break;
        case trigger::TriggerL1IsoEG:  // Isolated Level 1
          histoFillerL1Iso->isoNameTokens_.push_back(
              consumes<edm::AssociationMap<edm::OneToValue<l1extra::L1EmParticleCollection, float>>>(
                  isoNames.back()[i]));
          break;
        case trigger::TriggerPhoton:  // Photon
          histoFillerPho->isoNameTokens_.push_back(
              consumes<edm::AssociationMap<edm::OneToValue<reco::RecoEcalCandidateCollection, float>>>(
                  isoNames.back()[i]));
          break;
        case trigger::TriggerElectron:  // Electron
          histoFillerEle->isoNameTokens_.push_back(
              consumes<edm::AssociationMap<edm::OneToValue<reco::ElectronCollection, float>>>(isoNames.back()[i]));
          break;
        case trigger::TriggerCluster:  // TriggerCluster
          histoFillerClu->isoNameTokens_.push_back(
              consumes<edm::AssociationMap<edm::OneToValue<reco::RecoEcalCandidateCollection, float>>>(
                  isoNames.back()[i]));
          break;
        default:
          throw(cms::Exception("Release Validation Error") << "HLT output type not implemented: theHLTOutputTypes[n]");
      }
    }

    // If the size of the isoNames vector is not greater than zero, abort
    assert(!isoNames.back().empty());
    if (isoNames.back().at(0).label() == "none") {
      plotiso.push_back(false);
    } else {
      plotiso.push_back(true);
    }
    i++;
  }  // END of loop over parameter sets

  // Record number of HLTCollectionLabels
  numOfHLTCollectionLabels = theHLTCollectionLabels.size();
}

void EmDQMReco::dqmBeginRun(const edm::Run &iRun, const edm::EventSetup &iSetup) {
  bool isHltConfigChanged = false;  // change of cfg at run boundaries?
  isHltConfigInitialized_ = hltConfig_.init(iRun, iSetup, "HLT", isHltConfigChanged);
}

//       book DQM histograms                                                  //
void EmDQMReco::bookHistograms(DQMStore::IBooker &iBooker, edm::Run const &iRun, edm::EventSetup const &iSetup) {
  // edm::Service<TFileService> fs;
  iBooker.setCurrentFolder(dirname_);

  //  Set up Histogram of Effiency vs Step.                 //
  //   theHLTCollectionLabels is a vector of InputTags      //
  //    from the configuration file.                        //

  std::string histName = "total_eff";
  std::string histTitle = "total events passing";
  // This plot will have bins equal to 2+(number of
  //        HLTCollectionLabels in the config file)
  totalreco = iBooker.book1D(
      histName.c_str(), histTitle.c_str(), numOfHLTCollectionLabels + 2, 0, numOfHLTCollectionLabels + 2);
  totalreco->setBinLabel(numOfHLTCollectionLabels + 1, "Total");
  totalreco->setBinLabel(numOfHLTCollectionLabels + 2, "Reco");
  for (unsigned int u = 0; u < numOfHLTCollectionLabels; u++) {
    totalreco->setBinLabel(u + 1, theHLTCollectionLabels[u].label());
  }

  histName = "total_eff_RECO_matched";
  histTitle = "total events passing (Reco matched)";
  totalmatchreco = iBooker.book1D(
      histName.c_str(), histTitle.c_str(), numOfHLTCollectionLabels + 2, 0, numOfHLTCollectionLabels + 2);
  totalmatchreco->setBinLabel(numOfHLTCollectionLabels + 1, "Total");
  totalmatchreco->setBinLabel(numOfHLTCollectionLabels + 2, "Reco");
  for (unsigned int u = 0; u < numOfHLTCollectionLabels; u++) {
    totalmatchreco->setBinLabel(u + 1, theHLTCollectionLabels[u].label());
  }

  // MonitorElement* tmphisto;
  MonitorElement *tmpiso;

  // Set up generator-level histograms                      //
  std::string pdgIdString;
  switch (pdgGen) {
    case 11:
      pdgIdString = "Electron";
      break;
    case 22:
      pdgIdString = "Photon";
      break;
    default:
      pdgIdString = "Particle";
  }

  //--------------------

  // reco
  // (note that reset(..) must be used to set the value of the scoped_ptr...)
  histReco.reset(new FourVectorMonitorElements(this,
                                               iBooker,
                                               "reco_%s",  // pattern for histogram name
                                               "%s of " + pdgIdString + "s"));

  //--------------------

  // monpath
  histRecoMonpath.reset(new FourVectorMonitorElements(this,
                                                      iBooker,
                                                      "reco_%s_monpath",  // pattern for histogram name
                                                      "%s of " + pdgIdString + "s monpath"));

  //--------------------

  // TODO: WHAT ARE THESE HISTOGRAMS FOR ? THEY SEEM NEVER REFERENCED ANYWHERE
  // IN THIS FILE... final X monpath
  histMonpath.reset(new FourVectorMonitorElements(this,
                                                  iBooker,
                                                  "final_%s_monpath",  // pattern for histogram name
                                                  "Final %s Monpath"));

  //--------------------

  //  Set up histograms of HLT objects                      //

  // Determine what strings to use for histogram titles
  std::vector<std::string> HltHistTitle;
  if (theHLTCollectionHumanNames.size() == numOfHLTCollectionLabels && useHumanReadableHistTitles) {
    HltHistTitle = theHLTCollectionHumanNames;
  } else {
    for (unsigned int i = 0; i < numOfHLTCollectionLabels; i++) {
      HltHistTitle.push_back(theHLTCollectionLabels[i].label());
    }
  }

  for (unsigned int i = 0; i < numOfHLTCollectionLabels; i++) {
    //--------------------
    // distributions of HLT objects passing filter i
    //--------------------

    //    // Et
    //    histName = theHLTCollectionLabels[i].label()+"et_all";
    //    histTitle = HltHistTitle[i]+" Et (ALL)";
    //    tmphisto =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax);
    //    ethist.push_back(tmphisto);
    //
    //    // Eta
    //    histName = theHLTCollectionLabels[i].label()+"eta_all";
    //    histTitle = HltHistTitle[i]+" #eta (ALL)";
    //    tmphisto =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax);
    //    etahist.push_back(tmphisto);
    //
    //    // phi
    //    histName = theHLTCollectionLabels[i].label()+"phi_all";
    //    histTitle = HltHistTitle[i]+" #phi (ALL)";
    //    tmphisto =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax);
    //    phiHist.push_back(tmphisto);

    standardHist.push_back(new FourVectorMonitorElements(
        this,
        iBooker,
        theHLTCollectionLabels[i].label() + "%s_all",  // histogram name
        HltHistTitle[i] + " %s (ALL)"                  // histogram title
        ));

    //--------------------
    // distributions of reco object matching HLT object passing filter i
    //--------------------

    // Et
    //    histName = theHLTCollectionLabels[i].label()+"et_RECO_matched";
    //    histTitle = HltHistTitle[i]+" Et (RECO matched)";
    //    tmphisto =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax);
    //    ethistmatchreco.push_back(tmphisto);

    //    // Eta
    //    histName = theHLTCollectionLabels[i].label()+"eta_RECO_matched";
    //    histTitle = HltHistTitle[i]+" #eta (RECO matched)";
    //    tmphisto =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax);
    //    etahistmatchreco.push_back(tmphisto);
    //
    //    // phi
    //    histName = theHLTCollectionLabels[i].label()+"phi_RECO_matched";
    //    histTitle = HltHistTitle[i]+" #phi (RECO matched)";
    //    tmphisto =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax);
    //    phiHistMatchReco.push_back(tmphisto);
    histMatchReco.push_back(new FourVectorMonitorElements(
        this,
        iBooker,
        theHLTCollectionLabels[i].label() + "%s_RECO_matched",  // histogram name
        HltHistTitle[i] + " %s (RECO matched)"                  // histogram title
        ));

    //--------------------
    // distributions of reco object matching HLT object passing filter i
    //--------------------

    //    // Et
    //    histName =
    //    theHLTCollectionLabels[i].label()+"et_RECO_matched_monpath"; histTitle
    //    = HltHistTitle[i]+" Et (RECO matched, monpath)"; tmphisto =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax);
    //    ethistmatchrecomonpath.push_back(tmphisto);
    //
    //    // Eta
    //    histName =
    //    theHLTCollectionLabels[i].label()+"eta_RECO_matched_monpath";
    //    histTitle = HltHistTitle[i]+" #eta (RECO matched, monpath)";
    //    tmphisto =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax);
    //    etahistmatchrecomonpath.push_back(tmphisto);
    //
    //    // phi
    //    histName =
    //    theHLTCollectionLabels[i].label()+"phi_RECO_matched_monpath";
    //    histTitle = HltHistTitle[i]+" #phi (RECO matched, monpath)";
    //    tmphisto =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax);
    //    phiHistMatchRecoMonPath.push_back(tmphisto);

    histMatchRecoMonPath.push_back(new FourVectorMonitorElements(
        this,
        iBooker,
        theHLTCollectionLabels[i].label() + "%s_RECO_matched_monpath",  // histogram name
        HltHistTitle[i] + " %s (RECO matched, monpath)"                 // histogram title
        ));
    //--------------------
    // distributions of HLT object that is closest delta-R match to sorted reco
    // particle(s)
    //--------------------

    // Et
    //    histName  = theHLTCollectionLabels[i].label()+"et_reco";
    //    histTitle = HltHistTitle[i]+" Et (reco)";
    //    tmphisto  =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax);
    //    histEtOfHltObjMatchToReco.push_back(tmphisto);
    //
    //    // eta
    //    histName  = theHLTCollectionLabels[i].label()+"eta_reco";
    //    histTitle = HltHistTitle[i]+" eta (reco)";
    //    tmphisto  =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax);
    //    histEtaOfHltObjMatchToReco.push_back(tmphisto);
    //
    //    // phi
    //    histName  = theHLTCollectionLabels[i].label()+"phi_reco";
    //    histTitle = HltHistTitle[i]+" phi (reco)";
    //    tmphisto  =
    //    iBooker.book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax);
    //    histPhiOfHltObjMatchToReco.push_back(tmphisto);

    histHltObjMatchToReco.push_back(new FourVectorMonitorElements(
        this,
        iBooker,
        theHLTCollectionLabels[i].label() + "%s_reco",  // histogram name
        HltHistTitle[i] + " %s (reco)"                  // histogram title
        ));

    //--------------------

    if (!plotiso[i]) {
      tmpiso = nullptr;
      etahistiso.push_back(tmpiso);
      ethistiso.push_back(tmpiso);
      phiHistIso.push_back(tmpiso);

      etahistisomatchreco.push_back(tmpiso);
      ethistisomatchreco.push_back(tmpiso);
      phiHistIsoMatchReco.push_back(tmpiso);

      histEtaIsoOfHltObjMatchToReco.push_back(tmpiso);
      histEtIsoOfHltObjMatchToReco.push_back(tmpiso);
      histPhiIsoOfHltObjMatchToReco.push_back(tmpiso);

    } else {
      //--------------------
      // 2D plot: Isolation values vs X for all objects
      //--------------------

      // X = eta
      histName = theHLTCollectionLabels[i].label() + "eta_isolation_all";
      histTitle = HltHistTitle[i] + " isolation vs #eta (all)";
      tmpiso = iBooker.book2D(histName.c_str(),
                              histTitle.c_str(),
                              plotBins,
                              -plotEtaMax,
                              plotEtaMax,
                              plotBins,
                              plotBounds[i].first,
                              plotBounds[i].second);
      etahistiso.push_back(tmpiso);

      // X = et
      histName = theHLTCollectionLabels[i].label() + "et_isolation_all";
      histTitle = HltHistTitle[i] + " isolation vs Et (all)";
      tmpiso = iBooker.book2D(histName.c_str(),
                              histTitle.c_str(),
                              plotBins,
                              plotPtMin,
                              plotPtMax,
                              plotBins,
                              plotBounds[i].first,
                              plotBounds[i].second);
      ethistiso.push_back(tmpiso);

      // X = phi
      histName = theHLTCollectionLabels[i].label() + "phi_isolation_all";
      histTitle = HltHistTitle[i] + " isolation vs #phi (all)";
      tmpiso = iBooker.book2D(histName.c_str(),
                              histTitle.c_str(),
                              plotBins,
                              -plotPhiMax,
                              plotPhiMax,
                              plotBins,
                              plotBounds[i].first,
                              plotBounds[i].second);
      phiHistIso.push_back(tmpiso);

      //--------------------
      // 2D plot: Isolation values vs X for reco matched objects
      //--------------------

      // X = eta
      histName = theHLTCollectionLabels[i].label() + "eta_isolation_RECO_matched";
      histTitle = HltHistTitle[i] + " isolation vs #eta (reco matched)";
      tmpiso = iBooker.book2D(histName.c_str(),
                              histTitle.c_str(),
                              plotBins,
                              -plotEtaMax,
                              plotEtaMax,
                              plotBins,
                              plotBounds[i].first,
                              plotBounds[i].second);
      etahistisomatchreco.push_back(tmpiso);

      // X = et
      histName = theHLTCollectionLabels[i].label() + "et_isolation_RECO_matched";
      histTitle = HltHistTitle[i] + " isolation vs Et (reco matched)";
      tmpiso = iBooker.book2D(histName.c_str(),
                              histTitle.c_str(),
                              plotBins,
                              plotPtMin,
                              plotPtMax,
                              plotBins,
                              plotBounds[i].first,
                              plotBounds[i].second);
      ethistisomatchreco.push_back(tmpiso);

      // X = eta
      histName = theHLTCollectionLabels[i].label() + "phi_isolation_RECO_matched";
      histTitle = HltHistTitle[i] + " isolation vs #phi (reco matched)";
      tmpiso = iBooker.book2D(histName.c_str(),
                              histTitle.c_str(),
                              plotBins,
                              -plotPhiMax,
                              plotPhiMax,
                              plotBins,
                              plotBounds[i].first,
                              plotBounds[i].second);
      phiHistIsoMatchReco.push_back(tmpiso);

      //--------------------
      // 2D plot: Isolation values vs X for HLT object that
      // is closest delta-R match to sorted reco particle(s)
      //--------------------

      // X = eta
      histName = theHLTCollectionLabels[i].label() + "eta_isolation_reco";
      histTitle = HltHistTitle[i] + " isolation vs #eta (reco)";
      tmpiso = iBooker.book2D(histName.c_str(),
                              histTitle.c_str(),
                              plotBins,
                              -plotEtaMax,
                              plotEtaMax,
                              plotBins,
                              plotBounds[i].first,
                              plotBounds[i].second);
      histEtaIsoOfHltObjMatchToReco.push_back(tmpiso);

      // X = et
      histName = theHLTCollectionLabels[i].label() + "et_isolation_reco";
      histTitle = HltHistTitle[i] + " isolation vs Et (reco)";
      tmpiso = iBooker.book2D(histName.c_str(),
                              histTitle.c_str(),
                              plotBins,
                              plotPtMin,
                              plotPtMax,
                              plotBins,
                              plotBounds[i].first,
                              plotBounds[i].second);
      histEtIsoOfHltObjMatchToReco.push_back(tmpiso);

      // X = phi
      histName = theHLTCollectionLabels[i].label() + "phi_isolation_reco";
      histTitle = HltHistTitle[i] + " isolation vs #phi (reco)";
      tmpiso = iBooker.book2D(histName.c_str(),
                              histTitle.c_str(),
                              plotBins,
                              -plotPhiMax,
                              plotPhiMax,
                              plotBins,
                              plotBounds[i].first,
                              plotBounds[i].second);
      histPhiIsoOfHltObjMatchToReco.push_back(tmpiso);
      //--------------------

    }  // END of HLT histograms
  }
}

//                                Destructor                                  //
EmDQMReco::~EmDQMReco() {}

//                     method called to for each event                        //
void EmDQMReco::analyze(const edm::Event &event, const edm::EventSetup &setup) {
  // protect from hlt config failure
  if (!isHltConfigInitialized_)
    return;

  eventnum++;
  bool plotMonpath = false;
  bool plotReco = true;

  edm::Handle<edm::View<reco::Candidate>> recoObjects;
  edm::Handle<std::vector<reco::SuperCluster>> recoObjectsEB;
  edm::Handle<std::vector<reco::SuperCluster>> recoObjectsEE;

  if (pdgGen == 11) {
    event.getByToken(recoElectronsInput, recoObjects);

    if (recoObjects->size() < (unsigned int)recocut_) {
      // edm::LogWarning("EmDQMReco") << "Less than "<< recocut_ <<" Reco
      // particles with pdgId=" << pdgGen << ".  Only " <<
      // cutRecoCounter->size() << " particles.";
      return;
    }
  } else if (pdgGen == 22) {
    event.getByToken(recoObjectsEBT, recoObjectsEB);
    event.getByToken(recoObjectsEET, recoObjectsEE);

    if (recoObjectsEB->size() + recoObjectsEE->size() < (unsigned int)recocut_) {
      // edm::LogWarning("EmDQMReco") << "Less than "<< recocut_ <<" Reco
      // particles with pdgId=" << pdgGen << ".  Only " << cutRecoCounter.size()
      // << " particles.";
      return;
    }
  }

  edm::Handle<edm::TriggerResults> HLTR;
  event.getByToken(hltResultsT, HLTR);


  /* if (theHLTCollectionHumanNames[0] == "hltL1sRelaxedSingleEgammaEt8"){
    triggerIndex = hltConfig.triggerIndex("HLT_L1SingleEG8");
  } else if (theHLTCollectionHumanNames[0] == "hltL1sRelaxedSingleEgammaEt5") {
    triggerIndex = hltConfig.triggerIndex("HLT_L1SingleEG5");
  } else if (theHLTCollectionHumanNames[0] == "hltL1sRelaxedDoubleEgammaEt5") {
    triggerIndex = hltConfig.triggerIndex("HLT_L1DoubleEG5");
  } else {
    triggerIndex = hltConfig.triggerIndex("");
    } */

  unsigned int triggerIndex;
  triggerIndex = hltConfig_.triggerIndex(triggerNameRecoMonPath);

  // triggerIndex must be less than the size of HLTR or you get a CMSException
  bool isFired = false;
  if (triggerIndex < HLTR->size()) {
    isFired = HLTR->accept(triggerIndex);
  }

  // fill L1 and HLT info
  // get objects possed by each filter
  edm::Handle<trigger::TriggerEventWithRefs> triggerObj;
  event.getByToken(triggerObjT, triggerObj);

  if (!triggerObj.isValid()) {
    edm::LogWarning("EmDQMReco") << "RAW-type HLT results not found, skipping event";
    return;
  }

  //  Fill the bin labeled "Total"                          //
  //   This will be the number of events looked at.         //
  totalreco->Fill(numOfHLTCollectionLabels + 0.5);
  totalmatchreco->Fill(numOfHLTCollectionLabels + .5);

  //  Fill the bin labeled "Total"                          //
  //   This will be the number of events looked at.         //
  // total->Fill(numOfHLTCollectionLabels+0.5);
  // totalmatch->Fill(numOfHLTCollectionLabels+0.5);

  //               Fill reconstruction info                      //
  // the recocut_ highest Et generator objects of the preselected type are our
  // matches

  std::vector<reco::Particle> sortedReco;
  if (plotReco == true) {
    if (pdgGen == 11) {
      for (edm::View<reco::Candidate>::const_iterator recopart = recoObjects->begin(); recopart != recoObjects->end();
           recopart++) {
        reco::Particle tmpcand(
            recopart->charge(), recopart->p4(), recopart->vertex(), recopart->pdgId(), recopart->status());
        sortedReco.push_back(tmpcand);
      }
    } else if (pdgGen == 22) {
      for (std::vector<reco::SuperCluster>::const_iterator recopart2 = recoObjectsEB->begin();
           recopart2 != recoObjectsEB->end();
           recopart2++) {
        float en = recopart2->energy();
        float er = sqrt(pow(recopart2->x(), 2) + pow(recopart2->y(), 2) + pow(recopart2->z(), 2));
        float px = recopart2->energy() * recopart2->x() / er;
        float py = recopart2->energy() * recopart2->y() / er;
        float pz = recopart2->energy() * recopart2->z() / er;
        reco::Candidate::LorentzVector thisLV(px, py, pz, en);
        reco::Particle tmpcand(0, thisLV, math::XYZPoint(0., 0., 0.), 22, 1);
        sortedReco.push_back(tmpcand);
      }
      for (std::vector<reco::SuperCluster>::const_iterator recopart2 = recoObjectsEE->begin();
           recopart2 != recoObjectsEE->end();
           recopart2++) {
        float en = recopart2->energy();
        float er = sqrt(pow(recopart2->x(), 2) + pow(recopart2->y(), 2) + pow(recopart2->z(), 2));
        float px = recopart2->energy() * recopart2->x() / er;
        float py = recopart2->energy() * recopart2->y() / er;
        float pz = recopart2->energy() * recopart2->z() / er;
        reco::Candidate::LorentzVector thisLV(px, py, pz, en);
        reco::Particle tmpcand(0, thisLV, math::XYZPoint(0., 0., 0.), 22, 1);
        sortedReco.push_back(tmpcand);
      }
    }

    std::sort(sortedReco.begin(), sortedReco.end(), pTComparator_);

    // Now the collection of gen particles is sorted by pt.
    // So, remove all particles from the collection so that we
    // only have the top "1 thru recocut_" particles in it

    sortedReco.erase(sortedReco.begin() + recocut_, sortedReco.end());

    for (unsigned int i = 0; i < recocut_; i++) {
      // validity has been implicitily checked by the cut on recocut_ above
      histReco->fill(sortedReco[i].p4());

      //      etreco ->Fill( sortedReco[i].et()  );
      //      etareco->Fill( sortedReco[i].eta() );
      //      phiReco->Fill( sortedReco[i].phi() );

      if (isFired) {
        histRecoMonpath->fill(sortedReco[i].p4());
        plotMonpath = true;
      }

    }  // END of loop over Reconstructed particles

    if (recocut_ >= reqNum)
      totalreco->Fill(numOfHLTCollectionLabels + 1.5);  // this isn't really needed anymore keep for backward comp.
    if (recocut_ >= reqNum)
      totalmatchreco->Fill(numOfHLTCollectionLabels + 1.5);  // this isn't really needed anymore keep for backward comp.
  }

  //            Loop over filter modules                    //
  for (unsigned int n = 0; n < numOfHLTCollectionLabels; n++) {
    // These numbers are from the Parameter Set, such as:
    //   theHLTOutputTypes = cms.uint32(100)
    switch (theHLTOutputTypes[n]) {
      case trigger::TriggerL1NoIsoEG:  // Non-isolated Level 1
        histoFillerL1NonIso->fillHistos(triggerObj, event, n, sortedReco, plotReco, plotMonpath);
        break;
      case trigger::TriggerL1IsoEG:  // Isolated Level 1
        histoFillerL1Iso->fillHistos(triggerObj, event, n, sortedReco, plotReco, plotMonpath);
        break;
      case trigger::TriggerPhoton:  // Photon
        histoFillerPho->fillHistos(triggerObj, event, n, sortedReco, plotReco, plotMonpath);
        break;
      case trigger::TriggerElectron:  // Electron
        histoFillerEle->fillHistos(triggerObj, event, n, sortedReco, plotReco, plotMonpath);
        break;
      case trigger::TriggerCluster:  // TriggerCluster
        histoFillerClu->fillHistos(triggerObj, event, n, sortedReco, plotReco, plotMonpath);
        break;
      default:
        throw(cms::Exception("Release Validation Error") << "HLT output type not implemented: theHLTOutputTypes[n]");
    }
  }  // END of loop over filter modules
}

// fillHistos                                                                 //
//   Called by analyze method.                                                //
template <class T>
void HistoFillerReco<T>::fillHistos(edm::Handle<trigger::TriggerEventWithRefs> &triggerObj,
                                    const edm::Event &iEvent,
                                    unsigned int n,
                                    std::vector<reco::Particle> &sortedReco,
                                    bool plotReco,
                                    bool plotMonpath) {
  std::vector<edm::Ref<T>> recoecalcands;
  if ((triggerObj->filterIndex(dqm->theHLTCollectionLabels[n]) >= triggerObj->size())) {  // only process if available
    return;
  }

  //      Retrieve saved filter objects                     //
  triggerObj->getObjects(
      triggerObj->filterIndex(dqm->theHLTCollectionLabels[n]), dqm->theHLTOutputTypes[n], recoecalcands);
  // Danger: special case, L1 non-isolated
  // needs to be merged with L1 iso
  if (dqm->theHLTOutputTypes[n] == trigger::TriggerL1NoIsoEG) {
    std::vector<edm::Ref<T>> isocands;
    triggerObj->getObjects(triggerObj->filterIndex(dqm->theHLTCollectionLabels[n]), trigger::TriggerL1IsoEG, isocands);
    if (!isocands.empty()) {
      for (unsigned int i = 0; i < isocands.size(); i++)
        recoecalcands.push_back(isocands[i]);
    }
  }  // END of if theHLTOutputTypes == 82

  if (recoecalcands.empty()) {  // stop if no object passed the previous filter
    return;
  }

  if (recoecalcands.size() >= dqm->reqNum)
    dqm->totalreco->Fill(n + 0.5);

  // check for validity                            //
  // prevents crash in CMSSW_3_1_0_pre6            //
  for (unsigned int j = 0; j < recoecalcands.size(); j++) {
    if (!(recoecalcands.at(j).isAvailable())) {
      edm::LogError("EmDQMReco") << "Event content inconsistent: TriggerEventWithRefs contains "
                                    "invalid Refs"
                                 << std::endl
                                 << "invalid refs for: " << dqm->theHLTCollectionLabels[n].label();
      return;
    }
  }

  //  Loop over all HLT objects in this filter step, and    //
  //  fill histograms.                                      //
  //  bool foundAllMatches = false;
  //  unsigned int numOfHLTobjectsMatched = 0;
  for (unsigned int i = 0; i < recoecalcands.size(); i++) {
    dqm->standardHist[n].fill(recoecalcands[i]->p4());

    //  Plot isolation variables (show the not-yet-cut        //
    //  isolation, i.e. associated to next filter)            //
    if (n + 1 < dqm->numOfHLTCollectionLabels) {  // can't plot beyond last
      if (dqm->plotiso[n + 1]) {
        for (unsigned int j = 0; j < isoNameTokens_.size(); j++) {
          edm::Handle<edm::AssociationMap<edm::OneToValue<T, float>>> depMap;
          iEvent.getByToken(isoNameTokens_.at(j), depMap);
          if (depMap.isValid()) {  // Map may not exist if only one candidate
                                   // passes a double filter
            typename edm::AssociationMap<edm::OneToValue<T, float>>::const_iterator mapi =
                depMap->find(recoecalcands[i]);
            if (mapi != depMap->end()) {  // found candidate in isolation map!
              dqm->etahistiso[n + 1]->Fill(recoecalcands[i]->eta(), mapi->val);
              dqm->ethistiso[n + 1]->Fill(recoecalcands[i]->et(), mapi->val);
              dqm->phiHistIso[n + 1]->Fill(recoecalcands[i]->phi(), mapi->val);
            }
          }
        }
      }
    }  // END of if n+1 < then the number of hlt collections
  }

  // Loop over the Reconstructed Particles, and find the        //
  // closest HLT object match.                              //
  if (plotReco == true) {
    for (unsigned int i = 0; i < dqm->recocut_; i++) {
      math::XYZVector currentRecoParticleMomentum = sortedReco[i].momentum();

      // float closestRecoDeltaR = 0.5;
      float closestRecoDeltaR = 1000.;
      int closestRecoEcalCandIndex = -1;
      for (unsigned int j = 0; j < recoecalcands.size(); j++) {
        float deltaR = DeltaR(recoecalcands[j]->momentum(), currentRecoParticleMomentum);

        if (deltaR < closestRecoDeltaR) {
          closestRecoDeltaR = deltaR;
          closestRecoEcalCandIndex = j;
        }
      }

      // If an HLT object was found within some delta-R
      // of this reco particle, store it in a histogram
      if (closestRecoEcalCandIndex >= 0) {
        //        histEtOfHltObjMatchToReco[n] ->Fill(
        //        recoecalcands[closestRecoEcalCandIndex]->et()  );
        //        histEtaOfHltObjMatchToReco[n]->Fill(
        //        recoecalcands[closestRecoEcalCandIndex]->eta() );
        //        histPhiOfHltObjMatchToReco[n]->Fill(
        //        recoecalcands[closestRecoEcalCandIndex]->phi() );

        dqm->histHltObjMatchToReco[n].fill(recoecalcands[closestRecoEcalCandIndex]->p4());

        // Also store isolation info
        if (n + 1 < dqm->numOfHLTCollectionLabels) {  // can't plot beyond last
          if (dqm->plotiso[n + 1]) {                  // only plot if requested in config
            for (unsigned int j = 0; j < isoNameTokens_.size(); j++) {
              edm::Handle<edm::AssociationMap<edm::OneToValue<T, float>>> depMap;
              iEvent.getByToken(isoNameTokens_.at(j), depMap);
              if (depMap.isValid()) {  // Map may not exist if only one candidate
                                       // passes a double filter
                typename edm::AssociationMap<edm::OneToValue<T, float>>::const_iterator mapi =
                    depMap->find(recoecalcands[closestRecoEcalCandIndex]);
                if (mapi != depMap->end()) {  // found candidate in isolation map!
                  dqm->histEtaIsoOfHltObjMatchToReco[n + 1]->Fill(recoecalcands[closestRecoEcalCandIndex]->eta(),
                                                                  mapi->val);
                  dqm->histEtIsoOfHltObjMatchToReco[n + 1]->Fill(recoecalcands[closestRecoEcalCandIndex]->et(),
                                                                 mapi->val);
                  dqm->histPhiIsoOfHltObjMatchToReco[n + 1]->Fill(recoecalcands[closestRecoEcalCandIndex]->phi(),
                                                                  mapi->val);
                }
              }
            }
          }
        }
      }  // END of if closestEcalCandIndex >= 0
    }

    //        Fill reco matched objects into histograms         //
    unsigned int mtachedRecoParts = 0;
    float minrecodist = 0.3;
    if (n == 0)
      minrecodist = 0.5;  // low L1-resolution => allow wider matching
    for (unsigned int i = 0; i < dqm->recocut_; i++) {
      // match generator candidate
      bool matchThis = false;
      math::XYZVector candDir = sortedReco[i].momentum();
      unsigned int closest = 0;
      double closestDr = 1000.;
      for (unsigned int trigOb = 0; trigOb < recoecalcands.size(); trigOb++) {
        double dr = DeltaR(recoecalcands[trigOb]->momentum(), candDir);
        if (dr < closestDr) {
          closestDr = dr;
          closest = trigOb;
        }
        if (closestDr > minrecodist) {  // it's not really a "match" if it's that far away
          closest = -1;
        } else {
          mtachedRecoParts++;
          matchThis = true;
        }
      }
      if (!matchThis)
        continue;  // only plot matched candidates
      // fill coordinates of mc particle matching trigger object
      //      ethistmatchreco[n] ->Fill( sortedReco[i].et()  );
      //      etahistmatchreco[n]->Fill( sortedReco[i].eta() );
      //      phiHistMatchReco[n]->Fill( sortedReco[i].phi() );
      dqm->histMatchReco[n].fill(sortedReco[i].p4());

      if (plotMonpath) {
        //        ethistmatchrecomonpath[n]->Fill( sortedReco[i].et() );
        //        etahistmatchrecomonpath[n]->Fill( sortedReco[i].eta() );
        //        phiHistMatchRecoMonPath[n]->Fill( sortedReco[i].phi() );
        dqm->histMatchRecoMonPath[n].fill(sortedReco[i].p4());
      }
      //  Plot isolation variables (show the not-yet-cut        //
      //  isolation, i.e. associated to next filter)            //
      if (n + 1 < dqm->numOfHLTCollectionLabels) {  // can't plot beyond last
        if (dqm->plotiso[n + 1]) {                  // only plot if requested in config
          for (unsigned int j = 0; j < isoNameTokens_.size(); j++) {
            edm::Handle<edm::AssociationMap<edm::OneToValue<T, float>>> depMapReco;
            iEvent.getByToken(isoNameTokens_.at(j), depMapReco);
            if (depMapReco.isValid()) {  // Map may not exist if only one
                                         // candidate passes a double filter
              typename edm::AssociationMap<edm::OneToValue<T, float>>::const_iterator mapi =
                  depMapReco->find(recoecalcands[closest]);
              if (mapi != depMapReco->end()) {  // found candidate in isolation map!
                dqm->etahistisomatchreco[n + 1]->Fill(sortedReco[i].eta(), mapi->val);
                dqm->ethistisomatchreco[n + 1]->Fill(sortedReco[i].et(), mapi->val);
                dqm->phiHistIsoMatchReco[n + 1]->Fill(sortedReco[i].eta(), mapi->val);
              }
            }
          }
        }
      }  // END of if n+1 < then the number of hlt collections
    }
    // fill total reco matched efficiency
    if (mtachedRecoParts >= dqm->reqNum)
      dqm->totalmatchreco->Fill(n + 0.5);
  }
}

DEFINE_FWK_MODULE(EmDQMReco);