You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

170 lines
6.0 KiB

/*
* Copyright (C) 2018 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 "actions/zlib-utils.h"
#include <memory>
#include "utils/base/logging.h"
#include "utils/intents/zlib-utils.h"
namespace libtextclassifier3 {
// Compress rule fields in the model.
bool CompressActionsModel(ActionsModelT* model) {
std::unique_ptr<ZlibCompressor> zlib_compressor = ZlibCompressor::Instance();
if (!zlib_compressor) {
TC3_LOG(ERROR) << "Cannot compress model.";
return false;
}
// Compress regex rules.
if (model->rules != nullptr) {
for (int i = 0; i < model->rules->regex_rule.size(); i++) {
RulesModel_::RegexRuleT* rule = model->rules->regex_rule[i].get();
rule->compressed_pattern.reset(new CompressedBufferT);
zlib_compressor->Compress(rule->pattern, rule->compressed_pattern.get());
rule->pattern.clear();
}
}
if (model->low_confidence_rules != nullptr) {
for (int i = 0; i < model->low_confidence_rules->regex_rule.size(); i++) {
RulesModel_::RegexRuleT* rule =
model->low_confidence_rules->regex_rule[i].get();
if (!rule->pattern.empty()) {
rule->compressed_pattern.reset(new CompressedBufferT);
zlib_compressor->Compress(rule->pattern,
rule->compressed_pattern.get());
rule->pattern.clear();
}
if (!rule->output_pattern.empty()) {
rule->compressed_output_pattern.reset(new CompressedBufferT);
zlib_compressor->Compress(rule->output_pattern,
rule->compressed_output_pattern.get());
rule->output_pattern.clear();
}
}
}
if (!model->lua_actions_script.empty()) {
model->compressed_lua_actions_script.reset(new CompressedBufferT);
zlib_compressor->Compress(model->lua_actions_script,
model->compressed_lua_actions_script.get());
}
if (model->ranking_options != nullptr &&
!model->ranking_options->lua_ranking_script.empty()) {
model->ranking_options->compressed_lua_ranking_script.reset(
new CompressedBufferT);
zlib_compressor->Compress(
model->ranking_options->lua_ranking_script,
model->ranking_options->compressed_lua_ranking_script.get());
}
// Compress intent generator.
if (model->android_intent_options != nullptr) {
CompressIntentModel(model->android_intent_options.get());
}
return true;
}
bool DecompressActionsModel(ActionsModelT* model) {
std::unique_ptr<ZlibDecompressor> zlib_decompressor =
ZlibDecompressor::Instance();
if (!zlib_decompressor) {
TC3_LOG(ERROR) << "Cannot initialize decompressor.";
return false;
}
// Decompress regex rules.
if (model->rules != nullptr) {
for (int i = 0; i < model->rules->regex_rule.size(); i++) {
RulesModel_::RegexRuleT* rule = model->rules->regex_rule[i].get();
if (!zlib_decompressor->MaybeDecompress(rule->compressed_pattern.get(),
&rule->pattern)) {
TC3_LOG(ERROR) << "Cannot decompress pattern: " << i;
return false;
}
rule->compressed_pattern.reset(nullptr);
}
}
// Decompress low confidence rules.
if (model->low_confidence_rules != nullptr) {
for (int i = 0; i < model->low_confidence_rules->regex_rule.size(); i++) {
RulesModel_::RegexRuleT* rule =
model->low_confidence_rules->regex_rule[i].get();
if (!zlib_decompressor->MaybeDecompress(rule->compressed_pattern.get(),
&rule->pattern)) {
TC3_LOG(ERROR) << "Cannot decompress pattern: " << i;
return false;
}
if (!zlib_decompressor->MaybeDecompress(
rule->compressed_output_pattern.get(), &rule->output_pattern)) {
TC3_LOG(ERROR) << "Cannot decompress pattern: " << i;
return false;
}
rule->compressed_pattern.reset(nullptr);
rule->compressed_output_pattern.reset(nullptr);
}
}
if (!zlib_decompressor->MaybeDecompress(
model->compressed_lua_actions_script.get(),
&model->lua_actions_script)) {
TC3_LOG(ERROR) << "Cannot decompress actions script.";
return false;
}
if (model->ranking_options != nullptr &&
!zlib_decompressor->MaybeDecompress(
model->ranking_options->compressed_lua_ranking_script.get(),
&model->ranking_options->lua_ranking_script)) {
TC3_LOG(ERROR) << "Cannot decompress actions script.";
return false;
}
return true;
}
std::string CompressSerializedActionsModel(const std::string& model) {
std::unique_ptr<ActionsModelT> unpacked_model =
UnPackActionsModel(model.c_str());
TC3_CHECK(unpacked_model != nullptr);
TC3_CHECK(CompressActionsModel(unpacked_model.get()));
flatbuffers::FlatBufferBuilder builder;
FinishActionsModelBuffer(builder,
ActionsModel::Pack(builder, unpacked_model.get()));
return std::string(reinterpret_cast<const char*>(builder.GetBufferPointer()),
builder.GetSize());
}
bool GetUncompressedString(const flatbuffers::String* uncompressed_buffer,
const CompressedBuffer* compressed_buffer,
ZlibDecompressor* decompressor, std::string* out) {
if (uncompressed_buffer == nullptr && compressed_buffer == nullptr) {
out->clear();
return true;
}
return decompressor->MaybeDecompressOptionallyCompressedBuffer(
uncompressed_buffer, compressed_buffer, out);
}
} // namespace libtextclassifier3