import subprocess

import torch


def convert_args(**kwargs):
    args = []
    for key, value in kwargs.items():
        if key == 'sample_rate':
            key = 'sample_frequency'
        key = '--' + key.replace('_', '-')
        value = str(value).lower() if value in [True, False] else str(value)
        args.append('%s=%s' % (key, value))
    return args


def run_kaldi(command, input_type, input_value):
    """Run provided Kaldi command, pass a tensor and get the resulting tensor

    Args:
        input_type: str
            'ark' or 'scp'
        input_value:
            Tensor for 'ark'
            string for 'scp' (path to an audio file)
    """
    import kaldi_io

    key = 'foo'
    process = subprocess.Popen(command, stdin=subprocess.PIPE, stdout=subprocess.PIPE)
    if input_type == 'ark':
        kaldi_io.write_mat(process.stdin, input_value.cpu().numpy(), key=key)
    elif input_type == 'scp':
        process.stdin.write(f'{key} {input_value}'.encode('utf8'))
    else:
        raise NotImplementedError('Unexpected type')
    process.stdin.close()
    result = dict(kaldi_io.read_mat_ark(process.stdout))['foo']
    return torch.from_numpy(result.copy())  # copy supresses some torch warning
