packages/engine/scram-node/targets/scram-cli/utils/RunScram.h
Source code
cpp
/*
* Copyright (C) 2014-2018 Olzhas Rakhimov
* Copyright (C) 2023 OpenPRA ORG Inc.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#pragma once
#include <cstdarg>
#include <cstdio> // vsnprintf
#include <iostream>
#include <memory>
#include <string>
#include <vector>
#include <boost/exception/all.hpp>
#include <boost/program_options.hpp>
#include "initializer.h"
#include "reporter.h"
#include "risk_analysis.h"
#include "serialization.h"
#include "settings.h"
#include "ConstructSettings.h"
namespace po = boost::program_options;
namespace ScramCLI {
inline void RunScram(const po::variables_map &vm) {
scram::core::Settings settings;// Analysis settings.
std::vector<std::string> input_files;
ConstructSettings(vm, &settings);
if (vm.count("input-files")) {
auto cmd_input = vm["input-files"].as<std::vector<std::string>>();
input_files.insert(input_files.end(), cmd_input.begin(), cmd_input.end());
}
// Process input files
// into valid analysis containers and constructs.
// Throws if anything is invalid.
std::unique_ptr<scram::mef::Model> model =
scram::mef::Initializer(input_files, settings, vm.count("allow-extern"))
.model();
#ifndef NDEBUG
if (vm.count("serialize"))
return Serialize(*model, stdout);
#endif
if (vm.count("validate"))
return;// Stop if only validation is requested.
// Initiate risk analysis with the given information.
scram::core::RiskAnalysis analysis(model.get(), settings);
analysis.Analyze();
#ifndef NDEBUG
if (vm.count("no-report") || vm.count("preprocessor") || vm.count("print"))
return;
#endif
scram::Reporter reporter;
bool indent = vm.count("no-indent") ? false : true;
if (vm.count("output")) {
reporter.Report(analysis, vm["output"].as<std::string>(), indent);
} else {
reporter.Report(analysis, stdout, indent);
}
}
}// namespace ScramCLIUpdated on 2025-11-11 at 16:51:09 +0000
