#pragma once #include "teqp/models/fwd.hpp" #include "teqp/exceptions.hpp" #include "nlohmann/json.hpp" namespace teqp { inline AllowedModels build_model(const nlohmann::json& json) { auto build_square_matrix = [](const std::valarray<std::valarray<double>>& m){ Eigen::ArrayXXd mat; // First assume that the matrix is square, resize mat.resize(m.size(), m.size()); // Then copy elements over for (auto i = 0; i < m.size(); ++i){ if (m[i].size() != mat.rows()){ throw std::invalid_argument("provided matrix is not square"); } for (auto j = 0; i < m[i].size(); ++j){ mat(i,j) = m[i][j]; } } return mat; }; // Extract the name of the model and the model parameters std::string kind = json.at("kind"); auto spec = json.at("model"); if (kind == "vdW1") { return vdWEOS1(spec.at("a"), spec.at("b")); } else if (kind == "PR") { std::valarray<double> Tc_K = spec.at("Tcrit / K"), pc_Pa = spec.at("pcrit / Pa"), acentric = spec.at("acentric"); Eigen::ArrayXXd kmat; if (spec.contains("kmat")){ kmat = build_square_matrix(spec["kmat"]); } return canonical_PR(Tc_K, pc_Pa, acentric, kmat); } else if (kind == "SRK") { std::valarray<double> Tc_K = spec.at("Tcrit / K"), pc_Pa = spec.at("pcrit / Pa"), acentric = spec.at("acentric"); Eigen::ArrayXXd kmat; if (spec.contains("kmat")){ kmat = build_square_matrix(spec["kmat"]); } return canonical_SRK(Tc_K, pc_Pa, acentric, kmat); } else if (kind == "CPA") { return CPA::CPAfactory(spec); } else if (kind == "PCSAFT") { return PCSAFT::PCSAFTfactory(spec); } else if (kind == "multifluid") { return multifluidfactory(spec); } else { throw teqpcException(30, "Unknown kind:" + kind); } } };