#include "opaque_types.h"
#include <dlib/python.h>
#include "dlib/pixel.h"
#include <dlib/image_transforms.h>

#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
#include <numpy/ndarrayobject.h>


using namespace dlib;
using namespace std;

namespace py = pybind11;

// ----------------------------------------------------------------------------------------

py::list get_jitter_images(py::object img, size_t num_jitters = 1, bool disturb_colors = false)
{
    static dlib::rand rnd_jitter;
    if (!is_rgb_python_image(img))
        throw dlib::error("Unsupported image type, must be RGB image.");

    // Convert the image to matrix<rgb_pixel> for processing
    matrix<rgb_pixel> img_mat;
    assign_image(img_mat, numpy_rgb_image(img));

    // The top level list (containing 1 or more images) to return to python
    py::list jitter_list;

    size_t rows = num_rows(img_mat);
    size_t cols = num_columns(img_mat);

    // Size of the numpy array
    npy_intp dims[3] = { num_rows(img_mat), num_columns(img_mat), 3};

    for (int i = 0; i < num_jitters; ++i) {
        // Get a jittered crop
        matrix<rgb_pixel> crop = dlib::jitter_image(img_mat, rnd_jitter);
        // If required disturb colors of the image
        if(disturb_colors)
            dlib::disturb_colors(crop, rnd_jitter);
        
        PyObject *arr = PyArray_SimpleNew(3, dims, NPY_UINT8);
        npy_uint8 *outdata = (npy_uint8 *) PyArray_DATA((PyArrayObject*) arr);
        memcpy(outdata, image_data(crop), rows * width_step(crop));
                
        py::handle handle(arr);
        // Append image to jittered image list
        jitter_list.append(handle);
    }
           
    return jitter_list;
}

// ----------------------------------------------------------------------------------------

py::list get_face_chips (
    py::object img,
    const std::vector<full_object_detection>& faces,
    size_t size = 150,
    float padding = 0.25
)
{
    if (!is_rgb_python_image(img))
        throw dlib::error("Unsupported image type, must be RGB image.");

    if (faces.size() < 1) {
        throw dlib::error("No face were specified in the faces array.");
    }

    py::list chips_list;

    std::vector<chip_details> dets;
    for (auto& f : faces)
        dets.push_back(get_face_chip_details(f, size, padding));
    dlib::array<matrix<rgb_pixel>> face_chips;
    extract_image_chips(numpy_rgb_image(img), dets, face_chips);

    npy_intp rows = size;
    npy_intp cols = size;

    // Size of the numpy array
    npy_intp dims[3] = { rows, cols, 3};

    for (auto& chip : face_chips) 
    {
        PyObject *arr = PyArray_SimpleNew(3, dims, NPY_UINT8);
        npy_uint8 *outdata = (npy_uint8 *) PyArray_DATA((PyArrayObject*) arr);
        memcpy(outdata, image_data(chip), rows * width_step(chip));
        py::handle handle(arr);

        // Append image to chips list
        chips_list.append(handle);
    }
    return chips_list;
}

py::object get_face_chip (
    py::object img,
    const full_object_detection& face,
    size_t size = 150,
    float padding = 0.25
)
{
    if (!is_rgb_python_image(img))
        throw dlib::error("Unsupported image type, must be RGB image.");

    matrix<rgb_pixel> chip;
    extract_image_chip(numpy_rgb_image(img), get_face_chip_details(face, size, padding), chip);

    // Size of the numpy array
    npy_intp dims[3] = { num_rows(chip), num_columns(chip), 3};

    PyObject *arr = PyArray_SimpleNew(3, dims, NPY_UINT8);
    npy_uint8 *outdata = (npy_uint8 *) PyArray_DATA((PyArrayObject *) arr);
    memcpy(outdata, image_data(chip), num_rows(chip) * width_step(chip));
    py::handle handle(arr);
    return handle.cast<py::object>();
}

// ----------------------------------------------------------------------------------------

// we need this wonky stuff because different versions of numpy's import_array macro
// contain differently typed return statements inside import_array().
#if PY_VERSION_HEX >= 0x03000000
#define DLIB_NUMPY_IMPORT_ARRAY_RETURN_TYPE void* 
#define DLIB_NUMPY_IMPORT_RETURN return 0
#else
#define DLIB_NUMPY_IMPORT_ARRAY_RETURN_TYPE void
#define DLIB_NUMPY_IMPORT_RETURN return
#endif
DLIB_NUMPY_IMPORT_ARRAY_RETURN_TYPE import_numpy_stuff()
{
    import_array();
    DLIB_NUMPY_IMPORT_RETURN;
}

void bind_numpy_returns(py::module &m)
{
    import_numpy_stuff();

    m.def("jitter_image", &get_jitter_images, 
    "Takes an image and returns a list of jittered images."
    "The returned list contains num_jitters images (default is 1)."
    "If disturb_colors is set to True, the colors of the image are disturbed (default is False)", 
    py::arg("img"), py::arg("num_jitters")=1, py::arg("disturb_colors")=false
    );

    m.def("get_face_chip", &get_face_chip, 
	"Takes an image and a full_object_detection that references a face in that image and returns the face as a Numpy array representing the image.  The face will be rotated upright and scaled to 150x150 pixels or with the optional specified size and padding.", 
	py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25
    );

    m.def("get_face_chips", &get_face_chips, 
	"Takes an image and a full_object_detections object that reference faces in that image and returns the faces as a list of Numpy arrays representing the image.  The faces will be rotated upright and scaled to 150x150 pixels or with the optional specified size and padding.",
	py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25
    );
}