#!/usr/bin/env python3
"""
 Copyright (c) 2018-2019 Intel Corporation

 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
 You may obtain a copy of the License at

      http://www.apache.org/licenses/LICENSE-2.0

 Unless required by applicable law or agreed to in writing, software
 distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
"""
import argparse
import os
import sys

import tensorflow as tf

sys.path.append(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir))
from mo.front.tf.loader import load_tf_graph_def

os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'


def argparser():
    parser = argparse.ArgumentParser()
    parser.add_argument("--to_pbtxt", dest='pb', type=str, help="Path to TensorFlow binary model")
    parser.add_argument('--to_pb', dest='pbtxt', type=str, help="Path to TensorFlow text model")
    return parser.parse_args()


def convert(filename: str, is_text: bool):
    if not os.path.isfile(filename):
        raise FileNotFoundError("File doesn't exist: {}".format(filename))
    new_ext = ".pbtxt" if is_text else ".pb"
    head, tail = os.path.split(os.path.abspath(filename))
    print("Convert: {} \n     to: {}".format(filename, os.path.join(head, tail + new_ext)))
    graph_def, _ = load_tf_graph_def(graph_file_name=filename, is_binary=is_text)
    tf.import_graph_def(graph_def, name='')
    tf.train.write_graph(graph_def, head, tail + new_ext, as_text=is_text)


if __name__ == '__main__':
    argv = argparser()
    if argv.pb is None and argv.pbtxt is None:
        print("Please provide model to convert --to_pb or --to_pbtxt")
        sys.exit(1)
    if argv.pb is not None:
        convert(argv.pb, True)
    if argv.pbtxt is not None:
        convert(argv.pbtxt, False)
