from cil.framework import DataProcessor, AcquisitionData, DataOrder

import gi
gi.require_version('Ufo', '0.0')
from gi.repository import Ufo

import numpy as np

class UfoStandardForwardProjector(DataProcessor):
    def __init__(self,
                 volume_geometry=None,
                 sinogram_geometry=None):
        kwargs = {
            'volume_geometry': volume_geometry,
            'sinogram_geometry': sinogram_geometry
        }

        super(UfoStandardForwardProjector, self).__init__(**kwargs)

        self.set_ImageGeometry(volume_geometry)
        self.set_AcquisitionGeometry(sinogram_geometry)

    def check_input(self, dataset):

        if self.volume_geometry.shape != dataset.geometry.shape:
            raise ValueError("Dataset not compatible with geometry used to create the projector")

        return True

    def set_ImageGeometry(self, volume_geometry):

        DataOrder.check_order_for_engine('astra', volume_geometry)

        if len(volume_geometry.dimension_labels) > 3:
            raise ValueError("Supports 2D and 3D data only, got {0}".format(volume_geometry.number_of_dimensions))

        self.volume_geometry = volume_geometry.copy()

    def set_AcquisitionGeometry(self, sinogram_geometry):

        DataOrder.check_order_for_engine('astra', sinogram_geometry)

        if len(sinogram_geometry.dimension_labels) > 3:
            raise ValueError("Supports 2D and 3D data only, got {0}".format(self.volume_geometry.number_of_dimensions))

        self.sinogram_geometry = sinogram_geometry.copy()

    def process(self, out=None):

        IM = self.get_input()
        data_temp = IM.as_array()

        arr_out = self.create_sinogram(data_temp, out)

        if out is None:
            out = AcquisitionData(arr_out, deep_copy=False, geometry=self.sinogram_geometry.copy(),suppress_warning=True)
            return out
        else:
            out.fill(arr_out)

    def create_sinogram(self, vol, sino):
        pm = Ufo.PluginManager()
        graph = Ufo.TaskGraph()
        scheduler = Ufo.Scheduler()

        read = pm.get_task('memory-in')
        read.props.pointer = vol.__array_interface__['data'][0]
        read.props.width = vol.shape[1]
        read.props.height = vol.shape[0]
        if(len(vol.shape) == 2):
            read.props.number = 1
        else:
            read.props.number = vol.shape[2]
        read.props.bitdepth = 32

        forwardproject = pm.get_task('forwardproject')
        forwardproject.props.number = vol.shape[0]

        sino_arr = np.zeros(self.sinogram_geometry.shape, dtype=np.float32)

        write = pm.get_task('memory-out')
        write.props.pointer = sino_arr.__array_interface__['data'][0]
        write.props.max_size = sino_arr.nbytes

        graph.connect_nodes(read, forwardproject)
        graph.connect_nodes(forwardproject, write)

        scheduler.run(graph)
        return sino_arr