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/*
* 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 "annotator/zlib-utils.h"
#include <memory>
#include "annotator/model_generated.h"
#include "utils/zlib/zlib.h"
#include "gmock/gmock.h"
#include "gtest/gtest.h"
namespace libtextclassifier3 {
TEST(AnnotatorZlibUtilsTest, CompressModel) {
ModelT model;
model.regex_model.reset(new RegexModelT);
model.regex_model->patterns.emplace_back(new RegexModel_::PatternT);
model.regex_model->patterns.back()->pattern = "this is a test pattern";
model.regex_model->patterns.emplace_back(new RegexModel_::PatternT);
model.regex_model->patterns.back()->pattern = "this is a second test pattern";
model.datetime_model.reset(new DatetimeModelT);
model.datetime_model->patterns.emplace_back(new DatetimeModelPatternT);
model.datetime_model->patterns.back()->regexes.emplace_back(
new DatetimeModelPattern_::RegexT);
model.datetime_model->patterns.back()->regexes.back()->pattern =
"an example datetime pattern";
model.datetime_model->extractors.emplace_back(new DatetimeModelExtractorT);
model.datetime_model->extractors.back()->pattern =
"an example datetime extractor";
model.intent_options.reset(new IntentFactoryModelT);
model.intent_options->generator.emplace_back(
new IntentFactoryModel_::IntentGeneratorT);
const std::string intent_generator1 = "lua generator 1";
model.intent_options->generator.back()->lua_template_generator =
std::vector<uint8_t>(intent_generator1.begin(), intent_generator1.end());
model.intent_options->generator.emplace_back(
new IntentFactoryModel_::IntentGeneratorT);
const std::string intent_generator2 = "lua generator 2";
model.intent_options->generator.back()->lua_template_generator =
std::vector<uint8_t>(intent_generator2.begin(), intent_generator2.end());
// Compress the model.
EXPECT_TRUE(CompressModel(&model));
// Pack and load the model.
flatbuffers::FlatBufferBuilder builder;
builder.Finish(Model::Pack(builder, &model));
const Model* compressed_model =
GetModel(reinterpret_cast<const char*>(builder.GetBufferPointer()));
ASSERT_TRUE(compressed_model != nullptr);
// Decompress the fields again and check that they match the original.
std::unique_ptr<ZlibDecompressor> decompressor = ZlibDecompressor::Instance();
ASSERT_TRUE(decompressor != nullptr);
std::string uncompressed_pattern;
EXPECT_TRUE(decompressor->MaybeDecompress(
compressed_model->regex_model()->patterns()->Get(0)->compressed_pattern(),
&uncompressed_pattern));
EXPECT_EQ(uncompressed_pattern, "this is a test pattern");
EXPECT_TRUE(decompressor->MaybeDecompress(
compressed_model->regex_model()->patterns()->Get(1)->compressed_pattern(),
&uncompressed_pattern));
EXPECT_EQ(uncompressed_pattern, "this is a second test pattern");
EXPECT_TRUE(decompressor->MaybeDecompress(compressed_model->datetime_model()
->patterns()
->Get(0)
->regexes()
->Get(0)
->compressed_pattern(),
&uncompressed_pattern));
EXPECT_EQ(uncompressed_pattern, "an example datetime pattern");
EXPECT_TRUE(decompressor->MaybeDecompress(compressed_model->datetime_model()
->extractors()
->Get(0)
->compressed_pattern(),
&uncompressed_pattern));
EXPECT_EQ(uncompressed_pattern, "an example datetime extractor");
EXPECT_TRUE(DecompressModel(&model));
EXPECT_EQ(model.regex_model->patterns[0]->pattern, "this is a test pattern");
EXPECT_EQ(model.regex_model->patterns[1]->pattern,
"this is a second test pattern");
EXPECT_EQ(model.datetime_model->patterns[0]->regexes[0]->pattern,
"an example datetime pattern");
EXPECT_EQ(model.datetime_model->extractors[0]->pattern,
"an example datetime extractor");
EXPECT_EQ(
model.intent_options->generator[0]->lua_template_generator,
std::vector<uint8_t>(intent_generator1.begin(), intent_generator1.end()));
EXPECT_EQ(
model.intent_options->generator[1]->lua_template_generator,
std::vector<uint8_t>(intent_generator2.begin(), intent_generator2.end()));
}
} // namespace libtextclassifier3