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#include "CoreWrappers.h"
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#include "pywrappers_common.h"
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#include <Data/DataSeriesType.h>
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#include <Data/IDataProvider.h>
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#include <Network/Downloader.h>
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#include <Time/TimeController.h>
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#include <Variable/Variable2.h>
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#include <Variable/VariableController2.h>
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#include <pybind11/chrono.h>
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#include <pybind11/embed.h>
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#include <pybind11/functional.h>
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#include <pybind11/numpy.h>
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#include <pybind11/operators.h>
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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#include <pybind11/stl_bind.h>
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#include <sstream>
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#include <string>
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namespace py = pybind11;
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using namespace std::chrono;
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template<typename T, typename U, bool row_major = true>
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void copy_vector(py::array_t<double>& t, py::array_t<double>& values, T& dest_t,
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U& dest_values)
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{
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auto t_view = t.unchecked<1>();
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auto values_view = values.unchecked<2>();
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for(std::size_t i = 0; i < t.size(); i++)
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{
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dest_t[i] = t_view[i];
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dest_values[i] = {values_view(i, 0), values_view(i, 1), values_view(i, 2)};
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}
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}
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template<typename T, typename U>
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void copy_scalar(py::array_t<double>& t, py::array_t<double>& values, T& dest_t,
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U& dest_values)
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{
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auto t_view = t.unchecked<1>();
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if(values.ndim() == 1)
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{
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auto values_view = values.unchecked<1>();
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for(std::size_t i = 0; i < t.size(); i++)
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{
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dest_t[i] = t_view[i];
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dest_values[i] = values_view[i];
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}
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}
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else if(values.ndim() == 2 && values.shape(1) == 1)
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{
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auto values_view = values.unchecked<2>();
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for(std::size_t i = 0; i < t.size(); i++)
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{
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dest_t[i] = t_view[i];
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dest_values[i] = values_view(i, 0);
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}
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}
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}
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template<typename T, typename U>
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void copy_multicomp(py::array_t<double>& t, py::array_t<double>& values,
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T& dest_t, U& dest_values)
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{
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auto t_view = t.unchecked<1>();
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auto values_view = values.unchecked<2>();
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const auto width = values.shape(1);
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for(std::size_t i = 0; i < t.size(); i++)
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{
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dest_t[i] = t_view[i];
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for(int j = 0; j < width; j++)
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{
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dest_values[i * width + j] = values_view(i, j);
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}
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}
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}
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template<typename T, typename U>
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void copy_spectro(py::array_t<double>& t, py::array_t<double>& y,
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py::array_t<double>& values, T& dest_t, T& dest_y,
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U& dest_values)
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{
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auto t_view = t.unchecked<1>();
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auto y_view = y.unchecked<1>();
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auto values_view = values.unchecked<2>();
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const auto width = values.shape(1);
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for(std::size_t i = 0; i < y.size(); i++)
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{
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dest_y[i] = y_view[i];
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}
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for(std::size_t i = 0; i < t.size(); i++)
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{
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dest_t[i] = t_view[i];
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for(int j = 0; j < width; j++)
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{
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dest_values[i * width + j] = values_view(i, j);
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}
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}
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}
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PYBIND11_MODULE(pysciqlopcore, m)
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{
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pybind11::bind_vector<std::vector<double>>(m, "VectorDouble");
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py::enum_<DataSeriesType>(m, "DataSeriesType")
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.value("SCALAR", DataSeriesType::SCALAR)
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.value("SPECTROGRAM", DataSeriesType::SPECTROGRAM)
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.value("VECTOR", DataSeriesType::VECTOR)
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.value("MULTICOMPONENT", DataSeriesType::MULTICOMPONENT)
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.value("NONE", DataSeriesType::NONE)
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.export_values();
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py::class_<Response>(m, "Response")
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.def("status_code", &Response::status_code);
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py::class_<Downloader>(m, "Downloader")
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.def_static("get", Downloader::get)
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.def_static("getAsync", Downloader::getAsync)
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.def_static("downloadFinished", Downloader::downloadFinished);
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py::class_<IDataProvider, std::shared_ptr<IDataProvider>>(m, "IDataProvider");
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py::class_<TimeSeries::ITimeSerie, std::shared_ptr<TimeSeries::ITimeSerie>>(
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m, "ITimeSerie")
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.def_property_readonly(
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"size", [](const TimeSeries::ITimeSerie& ts) { return ts.size(); })
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.def("__len__",
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[](const TimeSeries::ITimeSerie& ts) { return ts.size(); })
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.def_property_readonly(
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"shape", [](const TimeSeries::ITimeSerie& ts) { return ts.shape(); })
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.def_property_readonly(
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"t",
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[](TimeSeries::ITimeSerie& ts) -> decltype(ts.axis(0))& {
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return ts.axis(0);
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},
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py::return_value_policy::reference)
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.def(
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"axis",
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[](TimeSeries::ITimeSerie& ts, unsigned int index)
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-> decltype(ts.axis(0))& { return ts.axis(index); },
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py::return_value_policy::reference);
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py::class_<ScalarTimeSerie, TimeSeries::ITimeSerie,
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std::shared_ptr<ScalarTimeSerie>>(m, "ScalarTimeSerie")
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.def(py::init<>())
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.def(py::init<std::size_t>())
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.def(py::init([](py::array_t<double> t, py::array_t<double> values) {
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assert(t.size() == values.size());
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ScalarTimeSerie::axis_t _t(t.size());
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ScalarTimeSerie::axis_t _values(t.size());
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copy_scalar(t, values, _t, _values);
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return ScalarTimeSerie(_t, _values);
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}))
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.def("__getitem__",
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[](ScalarTimeSerie& ts, std::size_t key) { return ts[key]; })
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.def("__setitem__", [](ScalarTimeSerie& ts, std::size_t key,
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double value) { *(ts.begin() + key) = value; });
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py::class_<VectorTimeSerie::raw_value_type>(m, "vector")
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.def(py::init<>())
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.def(py::init<double, double, double>())
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.def("__repr__", __repr__<VectorTimeSerie::raw_value_type>)
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.def_readwrite("x", &VectorTimeSerie::raw_value_type::x)
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.def_readwrite("y", &VectorTimeSerie::raw_value_type::y)
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.def_readwrite("z", &VectorTimeSerie::raw_value_type::z);
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py::class_<VectorTimeSerie, TimeSeries::ITimeSerie,
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std::shared_ptr<VectorTimeSerie>>(m, "VectorTimeSerie")
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.def(py::init<>())
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.def(py::init<std::size_t>())
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.def(py::init([](py::array_t<double> t, py::array_t<double> values) {
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assert(t.size() * 3 == values.size());
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VectorTimeSerie::axis_t _t(t.size());
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VectorTimeSerie::container_type<VectorTimeSerie::raw_value_type>
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_values(t.size());
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copy_vector(t, values, _t, _values);
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return VectorTimeSerie(_t, _values);
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}))
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.def(
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"__getitem__",
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[](VectorTimeSerie& ts, std::size_t key)
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-> VectorTimeSerie::raw_value_type& { return ts[key]; },
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py::return_value_policy::reference)
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.def("__setitem__", [](VectorTimeSerie& ts, std::size_t key,
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VectorTimeSerie::raw_value_type value) {
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*(ts.begin() + key) = value;
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});
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py::class_<MultiComponentTimeSerie::iterator_t>(m,
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"MultiComponentTimeSerieItem")
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.def("__getitem__", [](MultiComponentTimeSerie::iterator_t& self,
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std::size_t key) { return (*self)[key]; })
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.def("__setitem__",
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[](MultiComponentTimeSerie::iterator_t& self, std::size_t key,
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double value) { (*self)[key] = value; });
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py::class_<MultiComponentTimeSerie, TimeSeries::ITimeSerie,
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std::shared_ptr<MultiComponentTimeSerie>>(
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m, "MultiComponentTimeSerie")
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.def(py::init<>())
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.def(py::init<const std::vector<std::size_t>>())
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.def(py::init([](py::array_t<double> t, py::array_t<double> values) {
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assert((t.size() < values.size()) |
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(t.size() == 0)); // TODO check geometry
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MultiComponentTimeSerie::axis_t _t(t.size());
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MultiComponentTimeSerie::container_type<
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MultiComponentTimeSerie::raw_value_type>
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_values(values.size());
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copy_multicomp(t, values, _t, _values);
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std::vector<std::size_t> shape;
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shape.push_back(values.shape(0));
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shape.push_back(values.shape(1));
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return MultiComponentTimeSerie(_t, _values, shape);
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}))
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.def("__getitem__",
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[](MultiComponentTimeSerie& ts,
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std::size_t key) -> MultiComponentTimeSerie::iterator_t {
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return ts.begin() + key;
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});
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py::class_<SpectrogramTimeSerie::iterator_t>(m, "SpectrogramTimeSerieItem")
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.def("__getitem__", [](SpectrogramTimeSerie::iterator_t& self,
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std::size_t key) { return (*self)[key]; })
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.def("__setitem__",
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[](SpectrogramTimeSerie::iterator_t& self, std::size_t key,
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double value) { (*self)[key] = value; });
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py::class_<SpectrogramTimeSerie, TimeSeries::ITimeSerie,
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std::shared_ptr<SpectrogramTimeSerie>>(m, "SpectrogramTimeSerie")
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.def(py::init<>())
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.def(py::init<const std::vector<std::size_t>>())
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.def(py::init([](py::array_t<double> t, py::array_t<double> y,
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py::array_t<double> values) {
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auto t_s = t.size();
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auto v_s = values.size();
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assert(t.size() < values.size() or
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t.size() == 0); // TODO check geometry
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assert(y.size() == values.shape(1));
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SpectrogramTimeSerie::axis_t _t(t.size());
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SpectrogramTimeSerie::axis_t _y(y.size());
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SpectrogramTimeSerie::container_type<
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SpectrogramTimeSerie::raw_value_type>
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_values(values.size());
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copy_spectro(t, y, values, _t, _y, _values);
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std::vector<std::size_t> shape;
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shape.push_back(values.shape(0));
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shape.push_back(values.shape(1));
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return SpectrogramTimeSerie(std::move(_t), std::move(_y),
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std::move(_values), shape);
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}))
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.def("__getitem__",
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[](SpectrogramTimeSerie& ts,
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std::size_t key) -> SpectrogramTimeSerie::iterator_t {
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return ts.begin() + key;
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});
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py::class_<Variable2, std::shared_ptr<Variable2>>(m, "Variable2")
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.def(py::init<const QString&>())
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.def_property("name", &Variable2::name, &Variable2::setName)
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.def_property_readonly("range", &Variable2::range)
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.def_property_readonly("nbPoints", &Variable2::nbPoints)
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.def_property_readonly(
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"data",
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[](Variable2& var) -> std::shared_ptr<TimeSeries::ITimeSerie> {
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return var.data();
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})
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.def("set_data",
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[](Variable2& var, std::vector<TimeSeries::ITimeSerie*> ts_list,
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const DateTimeRange& range) { var.setData(ts_list, range); })
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.def("__len__", &Variable2::nbPoints)
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.def("__repr__", __repr__<Variable2>);
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py::class_<DateTimeRange>(m, "SqpRange")
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//.def("fromDateTime", &DateTimeRange::fromDateTime,
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// py::return_value_policy::move)
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.def(py::init([](double start, double stop) {
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return DateTimeRange{start, stop};
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}))
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.def(py::init(
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[](system_clock::time_point start, system_clock::time_point stop) {
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double start_ =
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0.001 *
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duration_cast<milliseconds>(start.time_since_epoch()).count();
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double stop_ =
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0.001 *
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duration_cast<milliseconds>(stop.time_since_epoch()).count();
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return DateTimeRange{start_, stop_};
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}))
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.def_property_readonly("start",
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[](const DateTimeRange& range) {
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return system_clock::from_time_t(range.m_TStart);
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})
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.def_property_readonly("stop",
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[](const DateTimeRange& range) {
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return system_clock::from_time_t(range.m_TEnd);
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})
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.def("__repr__", __repr__<DateTimeRange>);
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}
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