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#include "CondCore/Utilities/interface/PayloadInspectorModule.h"
#include "CondCore/Utilities/interface/PayloadInspector.h"
#include "CondCore/CondDB/interface/Time.h"
#include "DataFormats/EcalDetId/interface/EBDetId.h"
#include "DataFormats/EcalDetId/interface/EEDetId.h"
#include "CondCore/EcalPlugins/plugins/EcalDrawUtils.h"
// the data format of the condition to be inspected
#include "CondFormats/EcalObjects/interface/EcalSamplesCorrelation.h"
#include "TH2F.h" // a 2-D histogram with four bytes per cell (float)
#include "TCanvas.h"
#include "TLine.h"
#include "TStyle.h"
#include "TLatex.h" //write mathematical equations.
#include "TPave.h"
#include "TPaveStats.h"
#include <string>
#include <fstream>
namespace {
/*******************************************************
2d plot of Ecal Samples Correlation of 1 IOV
*******************************************************/
class EcalSamplesCorrelationPlot : public cond::payloadInspector::PlotImage<EcalSamplesCorrelation> {
public:
//void fill_align(const std::vector<double>& vect,TH2F* align, const int column, int row);
EcalSamplesCorrelationPlot()
: cond::payloadInspector::PlotImage<EcalSamplesCorrelation>("Ecal Samples Correlation - map ") {
setSingleIov(true);
}
bool fill(const std::vector<std::tuple<cond::Time_t, cond::Hash> >& iovs) override {
auto iov = iovs.front();
std::shared_ptr<EcalSamplesCorrelation> payload = fetchPayload(std::get<1>(iov));
unsigned int run = std::get<0>(iov);
TH2F* align;
int NbRows;
if (payload.get()) {
EcalSamplesCorrelation it = (*payload);
NbRows = it.EBG12SamplesCorrelation.size();
if (NbRows == 0)
return false;
align = new TH2F("Ecal Samples Correlation",
"EBG12 EBG06 EBG01 EEG12 EEG06 EEG01",
6,
0,
6,
NbRows,
0,
NbRows);
double row = NbRows - 0.5;
fill_align(it.EBG12SamplesCorrelation, align, 0.5, row);
fill_align(it.EBG6SamplesCorrelation, align, 1.5, row);
fill_align(it.EBG1SamplesCorrelation, align, 2.5, row);
fill_align(it.EEG12SamplesCorrelation, align, 3.5, row);
fill_align(it.EEG6SamplesCorrelation, align, 4.5, row);
fill_align(it.EEG1SamplesCorrelation, align, 5.5, row);
} else
return false;
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
TCanvas canvas("CC map", "CC map", 1000, 1000);
TLatex t1;
t1.SetNDC();
t1.SetTextAlign(26);
t1.SetTextSize(0.05);
t1.SetTextColor(2);
t1.DrawLatex(0.5, 0.96, Form("Ecal Samples Correlation, IOV %i", run));
TPad* pad = new TPad("pad", "pad", 0.0, 0.0, 1.0, 0.94);
pad->Draw();
pad->cd();
align->Draw("TEXT");
drawTable(NbRows, 6);
align->GetXaxis()->SetTickLength(0.);
align->GetXaxis()->SetLabelSize(0.);
align->GetYaxis()->SetTickLength(0.);
align->GetYaxis()->SetLabelSize(0.);
std::string ImageName(m_imageFileName);
canvas.SaveAs(ImageName.c_str());
return true;
}
void fill_align(const std::vector<double>& vect, TH2F* align, const float column, double row) {
for (std::vector<double>::const_iterator i = vect.begin(); i != vect.end(); ++i) {
align->Fill(column, row, *i);
row = row - 1;
}
}
};
/*******************************************************
2d plot of Ecal Samples Correlation difference between 2 IOVs
*******************************************************/
template <cond::payloadInspector::IOVMultiplicity nIOVs, int ntags>
class EcalSamplesCorrelationDiffBase
: public cond::payloadInspector::PlotImage<EcalSamplesCorrelation, nIOVs, ntags> {
public:
EcalSamplesCorrelationDiffBase()
: cond::payloadInspector::PlotImage<EcalSamplesCorrelation, nIOVs, ntags>(
"Ecal Samples Correlation difference") {}
bool fill() override {
unsigned int run[2];
float val[6][36];
TH2F* align = new TH2F("", "", 1, 0., 1., 1, 0., 1.); // pseudo creation
int NbRows = 0;
std::string l_tagname[2];
auto iovs = cond::payloadInspector::PlotBase::getTag<0>().iovs;
l_tagname[0] = cond::payloadInspector::PlotBase::getTag<0>().name;
auto firstiov = iovs.front();
run[0] = std::get<0>(firstiov);
std::tuple<cond::Time_t, cond::Hash> lastiov;
if (ntags == 2) {
auto tag2iovs = cond::payloadInspector::PlotBase::getTag<1>().iovs;
l_tagname[1] = cond::payloadInspector::PlotBase::getTag<1>().name;
lastiov = tag2iovs.front();
} else {
lastiov = iovs.back();
l_tagname[1] = l_tagname[0];
}
run[1] = std::get<0>(lastiov);
for (int irun = 0; irun < nIOVs; irun++) {
std::shared_ptr<EcalSamplesCorrelation> payload;
if (irun == 0) {
payload = this->fetchPayload(std::get<1>(firstiov));
} else {
payload = this->fetchPayload(std::get<1>(lastiov));
}
if (payload.get()) {
EcalSamplesCorrelation it = (*payload);
NbRows = it.EBG12SamplesCorrelation.size();
if (irun == 1) {
align = new TH2F("Ecal Samples Correlation",
"EBG12 EBG06 EBG01 EEG12 EEG06 EEG01",
6,
0,
6,
NbRows,
0,
NbRows);
}
double row = NbRows - 0.5;
fill_align(it.EBG12SamplesCorrelation, align, val[0], 0.5, row, irun);
fill_align(it.EBG6SamplesCorrelation, align, val[1], 1.5, row, irun);
fill_align(it.EBG1SamplesCorrelation, align, val[2], 2.5, row, irun);
fill_align(it.EEG12SamplesCorrelation, align, val[3], 3.5, row, irun);
fill_align(it.EEG6SamplesCorrelation, align, val[4], 4.5, row, irun);
fill_align(it.EEG1SamplesCorrelation, align, val[5], 5.5, row, irun);
} // if payload.get()
else
return false;
} // loop over IOVs
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
TCanvas canvas("CC map", "CC map", 1000, 1000);
TLatex t1;
t1.SetNDC();
t1.SetTextAlign(26);
t1.SetTextSize(0.05);
t1.SetTextColor(2);
t1.DrawLatex(0.5, 0.96, Form("Ecal Samples Correlation, IOV %i - %i", run[1], run[0]));
TPad* pad = new TPad("pad", "pad", 0.0, 0.0, 1.0, 0.94);
pad->Draw();
pad->cd();
align->Draw("TEXT");
TLine* l = new TLine;
l->SetLineWidth(1);
drawTable(NbRows, 6);
align->GetXaxis()->SetTickLength(0.);
align->GetXaxis()->SetLabelSize(0.);
align->GetYaxis()->SetTickLength(0.);
align->GetYaxis()->SetLabelSize(0.);
std::string ImageName(this->m_imageFileName);
canvas.SaveAs(ImageName.c_str());
return true;
}
void fill_align(
const std::vector<double>& vect, TH2F* align, float val[], const float column, double row, unsigned irun) {
int irow = 0;
for (std::vector<double>::const_iterator i = vect.begin(); i != vect.end(); ++i) {
if (irun == 0) {
val[irow] = (*i);
} else {
align->Fill(column, row, (*i) - val[irow]);
row--;
}
irow++;
}
}
}; // class EcalSamplesCorrelationDiffBase
using EcalSamplesCorrelationDiffOneTag = EcalSamplesCorrelationDiffBase<cond::payloadInspector::SINGLE_IOV, 1>;
using EcalSamplesCorrelationDiffTwoTags = EcalSamplesCorrelationDiffBase<cond::payloadInspector::SINGLE_IOV, 2>;
} // namespace
// Register the classes as boost python plugin
PAYLOAD_INSPECTOR_MODULE(EcalSamplesCorrelation) {
PAYLOAD_INSPECTOR_CLASS(EcalSamplesCorrelationPlot);
PAYLOAD_INSPECTOR_CLASS(EcalSamplesCorrelationDiffOneTag);
PAYLOAD_INSPECTOR_CLASS(EcalSamplesCorrelationDiffTwoTags);
}
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