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Commit adccf39a authored by Whitney Armstrong's avatar Whitney Armstrong
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Added new dvcs analysis script and test report.

- Does not do much at the moment but using it as test to generate junit test
report.
- The root script generates an output json file which is processed by a
python script  to generate the junit xml file.
parent b93af429
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1 merge request!13Adding junit test result from analysis script
......@@ -12,10 +12,11 @@ dvcs:results:
stage: collect
needs: ["dvcs:process"]
script:
- echo "All DVCS benchmarks successful"
- pip install junitparser
- python dvcs/scripts/merge_results.py
artifacts:
paths:
- results
reports:
junit: ["results/dvcs/report.xml"]
junit: ["results/dvcs/dvcs_report.xml"]
......@@ -26,6 +26,8 @@ if [[ "$?" -ne "0" ]] ; then
exit 1
fi
export JUGGLER_N_EVENTS=10
## run geant4 simulations
npsim --runType batch \
--part.minimalKineticEnergy 1000*GeV \
......@@ -48,12 +50,12 @@ if [[ "$?" -ne "0" ]] ; then
fi
mkdir -p results/dvcs
echo "STAND-IN FOR ANALYSIS SCRIPT"
#root -b -q "dis/scripts/rec_dis_electrons.cxx(\"${JUGGLER_DETECTOR}/${JUGGLER_REC_FILE}\")"
#if [[ "$?" -ne "0" ]] ; then
# echo "ERROR running root script"
# exit 1
#fi
root -b -q "dvcs/scripts/dvcs_tests.cxx(\"${JUGGLER_REC_FILE}\")"
if [[ "$?" -ne "0" ]] ; then
echo "ERROR running root script"
exit 1
fi
# copy data if it is not too big
if [[ "${JUGGLER_N_EVENTS}" -lt "500" ]] ; then
......@@ -61,8 +63,8 @@ cp ${JUGGLER_REC_FILE} results/dvcs/.
fi
# Collect the results
cp dvcs/report.xml results/dvcs/.
cp dvcs/report2.xml results/dvcs/.
#cp dvcs/report.xml results/dvcs/.
#cp dvcs/report2.xml results/dvcs/.
......
#include <ROOT/RDataFrame.hxx>
#include <cmath>
#include "fmt/color.h"
#include "fmt/core.h"
#include <iostream>
#include <string>
#include <vector>
#include <nlohmann/json.hpp>
using json = nlohmann::json;
#include "dd4pod/Geant4ParticleCollection.h"
#include "eicd/TrackParametersCollection.h"
#include "eicd/ClusterCollection.h"
#include "eicd/ClusterData.h"
using ROOT::RDataFrame;
using namespace ROOT::VecOps;
auto p_track = [](std::vector<eic::TrackParametersData> const& in) {
std::vector<double> result;
for (size_t i = 0; i < in.size(); ++i) {
result.push_back(std::abs(1.0/(in[i].qOverP)));
}
return result;
};
auto pt = [](std::vector<dd4pod::Geant4ParticleData> const& in){
std::vector<float> result;
for (size_t i = 0; i < in.size(); ++i) {
result.push_back(std::sqrt(in[i].psx * in[i].psx + in[i].psy * in[i].psy));
}
return result;
};
auto momentum = [](std::vector<ROOT::Math::PxPyPzMVector> const& in) {
std::vector<double> result;
for (size_t i = 0; i < in.size(); ++i) {
result.push_back(in[i].E());
}
return result;
};
auto theta = [](std::vector<ROOT::Math::PxPyPzMVector> const& in) {
std::vector<double> result;
for (size_t i = 0; i < in.size(); ++i) {
result.push_back(in[i].Theta()*180/M_PI);
}
return result;
};
auto fourvec = [](ROOT::VecOps::RVec<dd4pod::Geant4ParticleData> const& in) {
std::vector<ROOT::Math::PxPyPzMVector> result;
ROOT::Math::PxPyPzMVector lv;
for (size_t i = 0; i < in.size(); ++i) {
lv.SetCoordinates(in[i].psx, in[i].psy, in[i].psz, in[i].mass);
result.push_back(lv);
}
return result;
};
auto delta_p = [](const std::vector<double>& tracks, const std::vector<double>& thrown) {
std::vector<double> res;
for (const auto& p1 : thrown) {
for (const auto& p2 : tracks) {
res.push_back(p1 - p2);
}
}
return res;
};
void dvcs_tests(const char* fname = "rec_dvcs.root"){
fmt::print(fmt::emphasis::bold | fg(fmt::color::forest_green), "Running DVCS analysis...\n");
// Run this in multi-threaded mode if desired
ROOT::EnableImplicitMT();
ROOT::RDataFrame df("events", fname);
using ROOT::Math::PxPyPzMVector;
PxPyPzMVector p_ebeam = {0,0,-10, 0.000511};
PxPyPzMVector p_pbeam = {0,0,275, 0.938 };
auto eprime = [](ROOT::VecOps::RVec<dd4pod::Geant4ParticleData> const& in) {
for(const auto& p : in){
if(p.pdgID == 11 ) {
return PxPyPzMVector(p.psx,p.psy,p.psz,p.mass);
}
}
return PxPyPzMVector(0,0,0,0);
};
auto q_vec = [=](PxPyPzMVector const& p) {
return p_ebeam - p;
};
auto df0 = df.Define("isThrown", "mcparticles2.genStatus == 1")
.Define("thrownParticles", "mcparticles2[isThrown]")
.Define("thrownP", fourvec, {"thrownParticles"})
.Define("p_thrown", momentum, {"thrownP"})
.Define("nTracks", "outputTrackParameters.size()")
.Define("p_track", p_track, {"outputTrackParameters"})
.Define("p_track1", p_track, {"outputTrackParameters1"})
.Define("p_track2", p_track, {"outputTrackParameters2"})
.Define("delta_p",delta_p, {"p_track", "p_thrown"})
.Define("delta_p1",delta_p, {"p_track1", "p_thrown"})
.Define("delta_p2",delta_p, {"p_track2", "p_thrown"})
.Define("eprime", eprime, {"thrownParticles"})
.Define("q", q_vec, {"eprime"})
.Define("Q2", "-1.0*(q.Dot(q))");
auto h_Q2 = df0.Histo1D({"h_Q2", "; Q^{2} [GeV^{2}/c^{2}]", 100, 0, 30}, "Q2");
auto n_Q2 = df0.Filter("Q2>1").Count();
auto c = new TCanvas();
h_Q2->DrawCopy();
c->SaveAs("results/dvcs/Q2.png");
c->SaveAs("results/dvcs/Q2.pdf");
fmt::print("{} DVCS events\n",*n_Q2);
// write output results to json file
json j;
j["Q2 cut"]["pass"] = *n_Q2;
j["Q2 cut"]["fail"] = 1;
std::ofstream o("results/dvcs/dvcs_tests.json");
o << std::setw(4) << j << std::endl;
//df0.Snapshot("testing","derp.root");
}
#!/usr/bin/env python3
import json
from junitparser import TestCase, TestSuite, JUnitXml, Skipped, Error, IntAttr, FloatAttr
# Create the new element by subclassing Element or one of its child class,
## and add custom attributes to it.
#class MyTestCase(TestCase):
# foo = Attr()
# Add the custom attribute
#TestCase.id = IntAttr('id')
TestCase.efficiency = FloatAttr('efficiency')
#TestCase.custom = Attr('custom')
#case = TestCase()
#case.id = 123
#case.rate = 0.95
#case.custom = 'foobar'
# After looking at two different python libraries (junit-xml and junitparser)
# junitparser looks the most robust
# https://github.com/weiwei/junitparser
def merge_results():
results = None;
with open("results/dvcs/dvcs_tests.json","r") as f:
results = json.load(f)
# Create suite and add cases
suite = TestSuite('dvcs')
suite.add_property('energy', '10-on-100')
for tname,tres in results.items():
for ttype, tval in tres.items():
# Create cases
case1 = TestCase(tname)
case1.time = 1.0
case1.efficiency = tval
case1.classname = ttype
suite.add_testcase(case1)
xml = JUnitXml()
xml.add_testsuite(suite)
xml.write('results/dvcs/dvcs_report.xml',pretty=True)
#test code for junit-xml:
#from junit_xml import TestSuite, TestCase
# test_cases = []
# print(test_name)
# print(test_res)
# for test_type, test_val in test_res.items():
# test_cases.append(TestCase(test_name, "dvcs.dvcs_tests.{}".format(test_type), 10, str(test_val), 'I am stderr!'))
# ts = TestSuite("my test suite", test_cases)
# # pretty printing is on by default but can be disabled using prettyprint=False
# print(TestSuite.to_xml_string([ts]))
# # you can also write the XML to a file and not pretty print it
# with open('results/dvcs/dvcs_report.xml', 'w') as f:
# TestSuite.to_file(f, [ts], prettyprint=True)
if __name__ == "__main__":
# execute only if run as a script
merge_results()
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