#include <boost/python/module.hpp>
#include <boost/python/def.hpp>
#define PY_ARRAY_UNIQUE_SYMBOL rtc_plugins_ARRAY_API
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
#include <numpy/ndarrayobject.h>
#include <numpy/arrayobject.h>
#include <stdio.h>


#include "./util/RTCContext.h"
namespace py = boost::python;

int init(const char* selfUserId, const char* selfDisplayName, const char* selfRoomId, boost::python::object callback) {
    RTCContext::instance().setPyCallback(callback);
    bool res = RTCContext::instance().init(selfUserId, selfDisplayName, selfRoomId);
    if (res) {
        return 0;
    } else {
        return -1;
    }
}
int initRecv(const char* destRoomId, const char* srcUserId, const int16_t destChannelIndex) {
    bool res = RTCContext::instance().initRecv(destRoomId, srcUserId, destChannelIndex);
    if (res) {
        return 0;
    } else {
        return -1;
    }
}
int initSend(const char* destRoomId, const int16_t destChannelIndex) {
    bool res = RTCContext::instance().initSend(destRoomId, destChannelIndex);
    if (res) {
        return 0;
    } else {
        return -1;
    }
}

py::object create_int16_array() {
    // 1. 定义数组维度（1维，长度为 4）
    npy_intp dims[1] = {4};

    // 2. 创建原生 C 数组（int16_t 数据）
    int16_t data[4] = {1, 2, -3, 4};  // 示例数据

    // 3. 通过 NumPy C API 创建 PyObject*
    PyObject* py_array = PyArray_SimpleNewFromData(
            1,              // 维度数
            dims,           // 各维度大小
            NPY_INT16,      // 数据类型（np.int16）
            data            // 数据指针
    );

    if (!py_array) {
        throw std::runtime_error("Failed to create NumPy array");
    }

    // 4. 转换为 py::object（自动管理引用计数）
    return py::object(py::handle<>(py_array));
}
int sendCustomAudioData(int16_t destChannelIndex, py::object pD,
                        int32_t sampleRate, uint64_t channelNum, uint64_t dataLen) {
    try {
        // 强制转换为 int16 连续数组
        PyObject* py_array = PyArray_FROM_OTF(
                pD.ptr(),
                NPY_INT16,
                NPY_ARRAY_IN_ARRAY | NPY_ARRAY_FORCECAST
        );
        if (!py_array) {
            throw std::runtime_error("Failed to convert input to int16 array");
        }

        py::object arr = py::handle<>(py_array);
        PyArrayObject* npArray = reinterpret_cast<PyArrayObject*>(arr.ptr());

        // 检查数据长度
        if (PyArray_SIZE(npArray) != static_cast<npy_intp>(dataLen)) {
            throw std::runtime_error("Array length does not match dataLen");
        }

        // 处理数据...
        void* dataPtr = PyArray_DATA(npArray);
        return RTCContext::instance().sendCustomAudioData(
                destChannelIndex, dataPtr, sampleRate, channelNum, dataLen
        );
    } catch (...) {
        PyErr_SetString(PyExc_RuntimeError, "Invalid audio data");
        return -1;
    }
}
/*
int sendCustomAudioData(const int16_t destChannelIndex, py::object pyData, int32_t sampleRate, uint64_t channelNum,
                        uint64_t dataLen) {
    try {
        //py::object pyData = create_int16_array();
        std::cout << "step 1" << std::endl;
        // 1. 检查输入有效性
        if (pyData.ptr() == nullptr) {
            throw std::runtime_error("Input data is NULL");
        }

        std::cout << "step 2" << std::endl;
        std::cout << "pyData ptr is:" << pyData.ptr() << std::endl;
        if (!pyData.ptr() || !Py_IsInitialized() || !PyObject_TypeCheck(pyData.ptr(), &PyBaseObject_Type)) {
            throw std::runtime_error("Invalid Python object");
        }
        std::cout << "step 2" << std::endl;
        // 2. 检查是否是 numpy 数组
        if (!PyArray_Check(pyData.ptr())) {
            std::cout << "input is notnumpy" << std::endl;
            throw std::runtime_error("Input is not a numpy array");
        }

        std::cout << "step 3" << std::endl;
        // 3. 转换为 PyArrayObject
        PyArrayObject* npArray = reinterpret_cast<PyArrayObject*>(pyData.ptr());

        std::cout << "step 4" << std::endl;
        // 4. 检查数据类型是否为 int16
        if (PyArray_TYPE(npArray) != NPY_INT16) {
            throw std::runtime_error("Array must be of type int16 (np.int16)");
        }

        std::cout << "step 5" << std::endl;
        // 5. 检查数据是否连续
        if (!PyArray_ISCONTIGUOUS(npArray)) {
            throw std::runtime_error("Array must be contiguous in memory");
        }
        std::cout << "step 6" << std::endl;

        // 6. 获取数据指针
        void* dataPtr = PyArray_DATA(npArray);
        if (dataPtr == nullptr) {
            throw std::runtime_error("Invalid data pointer");
        }
        std::cout << "step 7" << std::endl;
        return RTCContext::instance().sendCustomAudioData(destChannelIndex, dataPtr, sampleRate, channelNum, dataLen);

    } catch (const std::exception& e) {
        std::cout << "error:" << e.what() << std::endl;
        return -1;
    }
}
 */


void init_numpy() {
    // 直接调用底层函数，绕过宏的问题
    if (_import_array() < 0) {
        PyErr_SetString(PyExc_ImportError, "numpy.core.multiarray failed to import");
        throw std::runtime_error("NumPy initialization failed");
    }
}
BOOST_PYTHON_MODULE(rtc_plugins) {
    try {
        init_numpy();

        py::def("init", &init);
        py::def("initRecv", &initRecv);
        py::def("initSend", &initSend);
        py::def("sendCustomAudioData", &sendCustomAudioData);
    } catch (...) {
        PyErr_SetString(PyExc_RuntimeError, "Module initialization failed");
    }
}