Files
toddcox-visualize/include/ml/meshlib_json.hpp
2022-02-17 22:33:07 -05:00

69 lines
1.7 KiB
C++

#pragma once
#include "meshlib.hpp"
#include <Eigen/Eigen>
#include <nlohmann/json.hpp>
namespace Eigen {
template<class Derived>
void to_json(nlohmann::json &json, const Eigen::PlainObjectBase<Derived> &mat) {
using Scalar = typename Derived::Scalar;
auto rows = mat.rows();
auto cols = mat.cols();
std::vector<Scalar> vals(mat.size());
Map<Derived>(vals.data(), rows, cols) = mat;
json = {
{"rows", rows},
{"cols", cols},
{"vals", vals},
};
}
template<class Derived>
void from_json(const nlohmann::json &j, Derived &d) {
using Scalar = typename Derived::Scalar;
auto rows = j["rows"].get<Index>();
auto cols = j["cols"].get<Index>();
auto vals = j["vals"].get<std::vector<Scalar>>();
d = Map<Derived>(vals.data(), rows, cols);
}
}
namespace nlohmann {
template<typename PT_, typename CT_>
struct adl_serializer<ml::Mesh<PT_, CT_>> {
static void to_json(json &j, const ml::Mesh<PT_, CT_> &m) {
j = {
{"points", m.points},
{"cells", m.cells},
};
}
static ml::Mesh<PT_, CT_> from_json(const json &j) {
return ml::Mesh<PT_, CT_>(
j["points"].get<PT_>(),
j["cells"].get<CT_>()
);
}
};
}
namespace ml {
template<typename PT_, typename CT_>
void write(const ml::Mesh<PT_, CT_> &mesh, std::ostream &&out) {
nlohmann::json json = mesh;
nlohmann::json::to_msgpack(json, out);
}
template<typename M_>
M_ read(std::istream &&in) {
return nlohmann::json::from_msgpack(in).get<M_>();
}
}