/*
 * Copyright (C) 2017 The Android Open Source Project
 *
 * 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.
 */

#include "smartselect/model-params.h"

#include "common/memory_image/memory-image-reader.h"

namespace libtextclassifier {

using nlp_core::EmbeddingNetworkProto;
using nlp_core::MemoryImageReader;

ModelParams* ModelParamsBuilder(
    const void* start, uint64 num_bytes,
    std::shared_ptr<EmbeddingParams> external_embedding_params) {
  MemoryImageReader<EmbeddingNetworkProto> reader(start, num_bytes);

  ModelOptions model_options;
  auto model_options_extension_id = model_options_in_embedding_network_proto;
  if (reader.trimmed_proto().HasExtension(model_options_extension_id)) {
    model_options =
        reader.trimmed_proto().GetExtension(model_options_extension_id);
  }

  FeatureProcessorOptions feature_processor_options;
  auto feature_processor_extension_id =
      feature_processor_options_in_embedding_network_proto;
  if (reader.trimmed_proto().HasExtension(feature_processor_extension_id)) {
    feature_processor_options =
        reader.trimmed_proto().GetExtension(feature_processor_extension_id);

    // If no tokenization codepoint config is present, tokenize on space.
    // TODO(zilka): Remove the default config.
    if (feature_processor_options.tokenization_codepoint_config_size() == 0) {
      TokenizationCodepointRange* config;
      // New line character.
      config = feature_processor_options.add_tokenization_codepoint_config();
      config->set_start(10);
      config->set_end(11);
      config->set_role(TokenizationCodepointRange::WHITESPACE_SEPARATOR);

      // Space character.
      config = feature_processor_options.add_tokenization_codepoint_config();
      config->set_start(32);
      config->set_end(33);
      config->set_role(TokenizationCodepointRange::WHITESPACE_SEPARATOR);
    }
  } else {
    return nullptr;
  }

  SelectionModelOptions selection_options;
  auto selection_options_extension_id =
      selection_model_options_in_embedding_network_proto;
  if (reader.trimmed_proto().HasExtension(selection_options_extension_id)) {
    selection_options =
        reader.trimmed_proto().GetExtension(selection_options_extension_id);

    // For backward compatibility with the current models.
    if (!feature_processor_options.ignored_span_boundary_codepoints_size()) {
      *feature_processor_options.mutable_ignored_span_boundary_codepoints() =
          selection_options.deprecated_punctuation_to_strip();
    }
  } else {
    selection_options.set_enforce_symmetry(true);
    selection_options.set_symmetry_context_size(
        feature_processor_options.context_size() * 2);
  }

  SharingModelOptions sharing_options;
  auto sharing_options_extension_id =
      sharing_model_options_in_embedding_network_proto;
  if (reader.trimmed_proto().HasExtension(sharing_options_extension_id)) {
    sharing_options =
        reader.trimmed_proto().GetExtension(sharing_options_extension_id);
  } else {
    // Default values when SharingModelOptions is not present.
    sharing_options.set_always_accept_url_hint(true);
    sharing_options.set_always_accept_email_hint(true);
  }

  if (!model_options.use_shared_embeddings()) {
    std::shared_ptr<EmbeddingParams> embedding_params(new EmbeddingParams(
        start, num_bytes, feature_processor_options.context_size()));
    return new ModelParams(start, num_bytes, embedding_params,
                           selection_options, sharing_options,
                           feature_processor_options);
  } else {
    return new ModelParams(
        start, num_bytes, std::move(external_embedding_params),
        selection_options, sharing_options, feature_processor_options);
  }
}

}  // namespace libtextclassifier