QGLikelihoodDBWriter.cc

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// Author: Benedikt Hegner, Tom Cornelis
// Email:  benedikt.hegner@cern.ch, tom.cornelis@cern.ch
 
#include "TFile.h"
#include "TVector.h"
#include "TList.h"
#include "TKey.h"
#include "TH1.h"
#include <sstream>
#include <cstdlib>
#include <vector>
#include <memory>
#include <string>
#include "FWCore/Framework/interface/Frameworkfwd.h"
#include "FWCore/Framework/interface/EDAnalyzer.h"
#include "FWCore/Framework/interface/Event.h"
#include "FWCore/Framework/interface/MakerMacros.h"
#include "FWCore/ParameterSet/interface/ParameterSet.h"
#include "FWCore/ServiceRegistry/interface/Service.h"
#include "CondCore/DBOutputService/interface/PoolDBOutputService.h"
#include "CondFormats/JetMETObjects/interface/QGLikelihoodObject.h"
#include "FWCore/ParameterSet/interface/FileInPath.h"
 
class QGLikelihoodDBWriter : public edm::EDAnalyzer {
public:
  QGLikelihoodDBWriter(const edm::ParameterSet&);
  void beginJob() override;
  void analyze(const edm::Event&, const edm::EventSetup&) override {}
  void endJob() override {}
  ~QGLikelihoodDBWriter() override {}
 
private:
  bool getVectorFromFile(TFile*, std::vector<float>&, const TString&);
  void tryToMerge(std::map<std::vector<int>, QGLikelihoodCategory>&,
                  std::map<std::vector<int>, TH1*>&,
                  std::vector<int>&,
                  int);
  QGLikelihoodObject::Histogram transformToHistogramObject(TH1*);
  std::string inputRootFile, payloadTag;
};
 
// Constructor
QGLikelihoodDBWriter::QGLikelihoodDBWriter(const edm::ParameterSet& pSet) {
  inputRootFile = pSet.getParameter<std::string>("src");
  payloadTag = pSet.getParameter<std::string>("payload");
}
 
// Get vector from input file (includes translating TVector to std::vector)
bool QGLikelihoodDBWriter::getVectorFromFile(TFile* f, std::vector<float>& vector, const TString& name) {
  TVectorT<float>* tVector = nullptr;
  f->GetObject(name, tVector);
  if (!tVector)
    return false;
  for (int i = 0; i < tVector->GetNoElements(); ++i)
    vector.push_back((*tVector)[i]);
  return true;
}
 
// Transform ROOT TH1 to QGLikelihoodObject (same indexing)
QGLikelihoodObject::Histogram QGLikelihoodDBWriter::transformToHistogramObject(TH1* th1) {
  QGLikelihoodObject::Histogram histogram(
      th1->GetNbinsX(), th1->GetXaxis()->GetBinLowEdge(1), th1->GetXaxis()->GetBinUpEdge(th1->GetNbinsX()));
  for (int ibin = 0; ibin <= th1->GetNbinsX() + 1; ++ibin)
    histogram.setBinContent(ibin, th1->GetBinContent(ibin));
  return histogram;
}
 
// Try to merge bin with neighbouring bin (index = 2,3,4 for eta,pt,rho)
void QGLikelihoodDBWriter::tryToMerge(std::map<std::vector<int>, QGLikelihoodCategory>& categories,
                                      std::map<std::vector<int>, TH1*>& pdfs,
                                      std::vector<int>& binNumbers,
                                      int index) {
  if (!pdfs[binNumbers])
    return;
  std::vector<int> neighbour = binNumbers;
  do {
    if (--(neighbour[index]) < 0)
      return;
  } while (!pdfs[neighbour]);
  if (TString(pdfs[binNumbers]->GetTitle()) != TString(pdfs[neighbour]->GetTitle()))
    return;
  if (index != 4 && categories[neighbour].RhoMax != categories[binNumbers].RhoMax)
    return;
  if (index != 4 && categories[neighbour].RhoMin != categories[binNumbers].RhoMin)
    return;
  if (index != 3 && categories[neighbour].PtMax != categories[binNumbers].PtMax)
    return;
  if (index != 3 && categories[neighbour].PtMin != categories[binNumbers].PtMin)
    return;
  if (index != 2 && categories[neighbour].EtaMax != categories[binNumbers].EtaMax)
    return;
  if (index != 2 && categories[neighbour].EtaMin != categories[binNumbers].EtaMin)
    return;
 
  if (index == 4)
    categories[neighbour].RhoMax = categories[binNumbers].RhoMax;
  if (index == 3)
    categories[neighbour].PtMax = categories[binNumbers].PtMax;
  if (index == 2)
    categories[neighbour].EtaMax = categories[binNumbers].EtaMax;
  pdfs.erase(binNumbers);
  categories.erase(binNumbers);
}
 
// Begin Job
void QGLikelihoodDBWriter::beginJob() {
  QGLikelihoodObject* payload = new QGLikelihoodObject();
  payload->data.clear();
 
  // Get the ROOT file
  TFile* f = TFile::Open(edm::FileInPath(inputRootFile.c_str()).fullPath().c_str());
 
  // The ROOT file contains the binning for each variable, needed to set up the binning grid
  std::map<TString, std::vector<float>> gridOfBins;
  for (const TString& binVariable : {"eta", "pt", "rho"}) {
    if (!getVectorFromFile(f, gridOfBins[binVariable], binVariable + "Bins")) {
      edm::LogError("NoBins") << "Missing bin information for " << binVariable << " in input file" << std::endl;
      return;
    }
  }
 
  // Get pdf's from file and associate them to a QGLikelihoodCategory
  // Some pdf's in the ROOT-file are copies from each other, with the same title: those are merged bins in pt and rho
  // Here we do not store the copies, but try to extend the range of the neighbouring category (will result in less comparisons during application phase)
  std::map<std::vector<int>, TH1*> pdfs;
  std::map<std::vector<int>, QGLikelihoodCategory> categories;
  for (const TString& type : {"gluon", "quark"}) {
    int qgIndex = (type == "gluon");  // Keep numbering same as in RecoJets/JetAlgorithms/src/QGLikelihoodCalculator.cc
    for (const TString& likelihoodVar : {"mult", "ptD", "axis2"}) {
      int varIndex =
          (likelihoodVar == "mult"
               ? 0
               : (likelihoodVar == "ptD" ? 1 : 2));  // Keep order same as in RecoJets/JetProducers/plugins/QGTagger.cc
      for (int i = 0; i < (int)gridOfBins["eta"].size() - 1; ++i) {
        for (int j = 0; j < (int)gridOfBins["pt"].size() - 1; ++j) {
          for (int k = 0; k < (int)gridOfBins["rho"].size() - 1; ++k) {
            QGLikelihoodCategory category;
            category.EtaMin = gridOfBins["eta"][i];
            category.EtaMax = gridOfBins["eta"][i + 1];
            category.PtMin = gridOfBins["pt"][j];
            category.PtMax = gridOfBins["pt"][j + 1];
            category.RhoMin = gridOfBins["rho"][k];
            category.RhoMax = gridOfBins["rho"][k + 1];
            category.QGIndex = qgIndex;
            category.VarIndex = varIndex;
 
            TString key =
                TString::Format(likelihoodVar + "/" + likelihoodVar + "_" + type + "_eta%d_pt%d_rho%d", i, j, k);
            TH1* pdf = (TH1*)f->Get(key);
            if (!pdf) {
              edm::LogError("NoPDF") << "Could not found pdf with key  " << key << " in input file" << std::endl;
              return;
            }
 
            std::vector<int> binNumbers = {qgIndex, varIndex, i, j, k};
            pdfs[binNumbers] = pdf;
            categories[binNumbers] = category;
 
            tryToMerge(categories, pdfs, binNumbers, 4);
          }
          for (int k = 0; k < (int)gridOfBins["rho"].size() - 1; ++k) {
            std::vector<int> binNumbers = {qgIndex, varIndex, i, j, k};
            tryToMerge(categories, pdfs, binNumbers, 3);
          }
        }
        for (int j = 0; j < (int)gridOfBins["pt"].size() - 1; ++j) {
          for (int k = 0; k < (int)gridOfBins["rho"].size() - 1; ++k) {
            std::vector<int> binNumbers = {qgIndex, varIndex, i, j, k};
            tryToMerge(categories, pdfs, binNumbers, 2);
          }
        }
      }
    }
  }
 
  // Write all categories with their histograms to file
  int i = 0;
  for (const auto& category : categories) {
    QGLikelihoodObject::Entry entry;
    entry.category = category.second;
    entry.histogram = transformToHistogramObject(pdfs[category.first]);
    entry.mean =
        0;  // not used by the algorithm, is an old data member used in the past, but DB objects are not allowed to change
    payload->data.push_back(entry);
 
    char buff[1000];
    sprintf(buff,
            "%6d) var=%1d\t\tqg=%1d\t\teta={%5.2f,%5.2f}\t\tpt={%8.2f,%8.2f}\t\trho={%6.2f,%8.2f}",
            i++,
            category.second.VarIndex,
            category.second.QGIndex,
            category.second.EtaMin,
            category.second.EtaMax,
            category.second.PtMin,
            category.second.PtMax,
            category.second.RhoMin,
            category.second.RhoMax);
    edm::LogVerbatim("HistName") << buff << std::endl;
  }
 
  // Define the valid range, if no category is found within these bounds a warning will be thrown
  payload->qgValidRange.EtaMin = gridOfBins["eta"].front();
  payload->qgValidRange.EtaMax = gridOfBins["eta"].back();
  payload->qgValidRange.PtMin = gridOfBins["pt"].front();
  payload->qgValidRange.PtMax = gridOfBins["pt"].back();
  payload->qgValidRange.RhoMin = gridOfBins["rho"].front();
  payload->qgValidRange.RhoMax = gridOfBins["rho"].back();
  payload->qgValidRange.QGIndex = -1;
  payload->qgValidRange.VarIndex = -1;
 
  // Now write it into the DB
  edm::LogInfo("UserOutput") << "Opening PoolDBOutputService" << std::endl;
 
  edm::Service<cond::service::PoolDBOutputService> s;
  if (s.isAvailable()) {
    edm::LogInfo("UserOutput") << "Setting up payload with " << payload->data.size() << " entries and tag "
                               << payloadTag << std::endl;
    if (s->isNewTagRequest(payloadTag))
      s->createNewIOV<QGLikelihoodObject>(payload, s->beginOfTime(), s->endOfTime(), payloadTag);
    else
      s->appendSinceTime<QGLikelihoodObject>(payload, 111, payloadTag);
  }
  edm::LogInfo("UserOutput") << "Wrote in CondDB QGLikelihood payload label: " << payloadTag << std::endl;
}
 
DEFINE_FWK_MODULE(QGLikelihoodDBWriter);