"""
 Copyright (C) 2017-2020 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.
"""
from extensions.ops.data_augmentation import DataAugmentationOp
from mo.front.caffe.collect_attributes import merge_attrs
from mo.front.caffe.extractors.utils import embed_input
from mo.front.extractor import FrontExtractorOp


class DataAugmentationFrontExtractor(FrontExtractorOp):
    op = 'DataAugmentation'
    enabled = True

    @classmethod
    def extract(cls, node):
        proto_layer = node.pb
        param = proto_layer.augmentation_param
        # slice_dim is deprecated parameter and is used as alias for axis
        # however if slice_dim is defined and axis is default, we use slice_dim
        update_attrs = {
            'crop_width': param.crop_width,
            'crop_height': param.crop_height,
            'write_augmented': param.write_augmented,
            'max_multiplier': param.max_multiplier,
            'augment_during_test': int(param.augment_during_test),
            'recompute_mean': param.recompute_mean,
            'write_mean': param.write_mean,
            'mean_per_pixel': int(param.mean_per_pixel),
            'mean': param.mean,
            'mode': param.mode,
            'bottomwidth': param.bottomwidth,
            'bottomheight': param.bottomheight,
            'num': param.num,
            'chromatic_eigvec': param.chromatic_eigvec
        }

        mapping_rule = merge_attrs(param, update_attrs)

        if node.model_pb:
            for index in range(0, len(node.model_pb.blobs)):
                embed_input(mapping_rule, index + 1, 'custom_{}'.format(index), node.model_pb.blobs[index].data)

        # update the attributes of the node
        DataAugmentationOp.update_node_stat(node, mapping_rule)
        return cls.enabled
