/* * 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 #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(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(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(builder.GetBufferPointer())); ASSERT_TRUE(compressed_model != nullptr); // Decompress the fields again and check that they match the original. std::unique_ptr 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(intent_generator1.begin(), intent_generator1.end())); EXPECT_EQ( model.intent_options->generator[1]->lua_template_generator, std::vector(intent_generator2.begin(), intent_generator2.end())); } } // namespace libtextclassifier3