问如何创建和使用存储为c++对象的python对象？

EN

#include <python2.7/Python.h>
#include <iostream>
#include <algorithm>
#include "predictor.hpp"

using namespace std;


predictor::predictor()
{
  Py_Initialize();

  pName = PyString_FromString("predictor");

  pModule = PyImport_Import(pName);

  Py_XDECREF(pName);

  if (pModule == nullptr) {
    PyErr_Print();
    std::cerr << "Fails to import the module predictor, check installation.\n";
  }

  // dict is a borrowed reference.
  dict = PyModule_GetDict(pModule);
  if (dict == nullptr) {
    PyErr_Print();
    std::cerr << "Fails to get the dictionary, check predictor installation.\n";
    Py_XDECREF(pModule);
  }
  Py_XDECREF(pModule);

  // Builds the name of a callable class
  python_class = PyDict_GetItemString(dict, "Predictor");
  if (python_class == nullptr || python_class == NULL) {
    PyErr_Print();
    std::cerr << "Fails to get the Python class, check predictor installation.\n";
    Py_XDECREF(dict);
  }
  Py_XDECREF(dict);

  // Creates an instance of the class
  if (PyCallable_Check(python_class)) {
    object = PyObject_CallObject(python_class, nullptr);
    if (object == NULL)
    {
        cerr << "Fails to create object.";
        Py_XDECREF(python_class);
    }
    Py_XDECREF(python_class);
} else {
    PyErr_Print();
    std::cout << "Cannot instantiate the Python class" << std::endl;
    Py_XDECREF(python_class);
}

pMethod = PyString_FromString("predict_all");

}


predictor::~predictor()
{

  Py_XDECREF(pMethod);

  Py_XDECREF(object);
  Py_Finalize();

}


long predictor::predict(string rule)
{

  PyObject *pRule = PyString_FromString(rule.c_str());
  PyObject *value = PyObject_CallMethodObjArgs(object, pMethod, pRule, NULL);

  long endValue = PyInt_AsLong(value);

  if (endValue == -1)
  {
    if(!PyErr_Occurred())
    {

        PyErr_Print();
        cerr << "";

        Py_XDECREF(value);
        Py_XDECREF(pRule); 

        return NULL;
    }

    //PyErr_Print();

  }

  Py_XDECREF(value);
  Py_XDECREF(pRule); 

  return endValue;}