import argparse

import torch

import ptychi.api as api
from ptychi.api.task import PtychographyTask
from ptychi.utils import get_suggested_object_size, get_default_complex_dtype, rescale_probe
from ptychi.maths import orthogonalize_gs

import test_utils as tutils


class Test2DPtychoEpieMixedStates(tutils.TungstenDataTester):

    @tutils.TungstenDataTester.wrap_recon_tester(name='test_2d_ptycho_epie_mixed_states')
    def test_2d_ptycho_epie_mixed_states(self):        
        self.setup_ptychi(cpu_only=False)
        
        data, probe, pixel_size_m, positions_px = self.load_tungsten_data(additional_opr_modes=0)

        probe = orthogonalize_gs(torch.tensor(probe), (-1, -2), 1)
        probe = rescale_probe(probe[0], data)[None]
            
        options = api.EPIEOptions()
        
        options.data_options.data = data
        
        options.object_options.initial_guess = torch.ones([1, *get_suggested_object_size(positions_px, probe.shape[-2:], extra=100)], dtype=get_default_complex_dtype())
        options.object_options.pixel_size_m = pixel_size_m
        options.object_options.optimizable = True
        options.object_options.optimizer = api.Optimizers.SGD
        options.object_options.step_size = 0.1
        options.object_options.alpha = 1
        
        options.probe_options.initial_guess = probe
        options.probe_options.optimizable = True
        options.probe_options.optimizer = api.Optimizers.SGD
        options.probe_options.step_size = 0.1
        options.probe_options.alpha = 1

        options.probe_position_options.position_x_px = positions_px[:, 1]
        options.probe_position_options.position_y_px = positions_px[:, 0]
        options.probe_position_options.optimizable = True
        options.probe_position_options.optimizer = api.Optimizers.SGD
        options.probe_position_options.step_size = 1000
        options.probe_position_options.correction_options.correction_type = api.PositionCorrectionTypes.CROSS_CORRELATION
        
        options.reconstructor_options.batch_size = 96
        options.reconstructor_options.num_epochs = 32
        options.reconstructor_options.allow_nondeterministic_algorithms = False
        
        task = PtychographyTask(options)
        task.run()

        recon = task.get_data_to_cpu('object', as_numpy=True)[0]
        if self.debug and not self.generate_gold:
            pos = task.get_data_to_cpu('probe_positions', as_numpy=True)
            _, _, _, pos_true = self.load_tungsten_data(pos_type='true')
            tutils.plot_probe_positions(pos, pos_true)
        return recon
    
    
if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('--generate-gold', action='store_true')
    args = parser.parse_args()

    tester = Test2DPtychoEpieMixedStates()
    tester.setup_method(name="", generate_data=False, generate_gold=args.generate_gold, debug=True)
    tester.test_2d_ptycho_epie_mixed_states()
