/*
 * Copyright 2023 - 2024 the original author or authors.
 *
 * 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
 *
 * https://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.
 */
package org.springframework.ai.autoconfigure.vectorstore.pgvector;

import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.util.List;
import java.util.Map;

import org.junit.jupiter.api.Test;
import org.testcontainers.containers.GenericContainer;
import org.testcontainers.junit.jupiter.Container;
import org.testcontainers.junit.jupiter.Testcontainers;

import org.springframework.ai.document.Document;
import org.springframework.ai.embedding.EmbeddingClient;
import org.springframework.ai.transformers.TransformersEmbeddingClient;
import org.springframework.ai.vectorstore.SearchRequest;
import org.springframework.ai.vectorstore.VectorStore;
import org.springframework.boot.autoconfigure.AutoConfigurations;
import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
import org.springframework.boot.autoconfigure.jdbc.JdbcTemplateAutoConfiguration;
import org.springframework.boot.test.context.runner.ApplicationContextRunner;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.DefaultResourceLoader;

import static org.assertj.core.api.Assertions.assertThat;

/**
 * @author Christian Tzolov
 */
@Testcontainers
public class PgVectorStoreAutoConfigurationIT {

	@Container
	static GenericContainer<?> postgresContainer = new GenericContainer<>("ankane/pgvector:v0.5.1")
		.withEnv("POSTGRES_USER", "postgres")
		.withEnv("POSTGRES_PASSWORD", "postgres")
		.withExposedPorts(5432);

	List<Document> documents = List.of(
			new Document(getText("classpath:/test/data/spring.ai.txt"), Map.of("spring", "great")),
			new Document(getText("classpath:/test/data/time.shelter.txt")),
			new Document(getText("classpath:/test/data/great.depression.txt"), Map.of("depression", "bad")));

	public static String getText(String uri) {
		var resource = new DefaultResourceLoader().getResource(uri);
		try {
			return resource.getContentAsString(StandardCharsets.UTF_8);
		}
		catch (IOException e) {
			throw new RuntimeException(e);
		}
	}

	private final ApplicationContextRunner contextRunner = new ApplicationContextRunner()
		.withConfiguration(AutoConfigurations.of(PgVectorStoreAutoConfiguration.class,
				JdbcTemplateAutoConfiguration.class, DataSourceAutoConfiguration.class))
		.withUserConfiguration(Config.class)
		.withPropertyValues("spring.ai.vectorstore.pgvector.distanceType=COSINE_DISTANCE",
				// JdbcTemplate configuration
				String.format("spring.datasource.url=jdbc:postgresql://%s:%d/%s", postgresContainer.getHost(),
						postgresContainer.getMappedPort(5432), "postgres"),
				"spring.datasource.username=postgres", "spring.datasource.password=postgres");

	@Test
	public void addAndSearch() {
		contextRunner.run(context -> {

			VectorStore vectorStore = context.getBean(VectorStore.class);

			vectorStore.add(documents);

			List<Document> results = vectorStore
				.similaritySearch(SearchRequest.query("What is Great Depression?").withTopK(1));

			assertThat(results).hasSize(1);
			Document resultDoc = results.get(0);
			assertThat(resultDoc.getId()).isEqualTo(documents.get(2).getId());
			assertThat(resultDoc.getMetadata()).containsKeys("depression", "distance");

			// Remove all documents from the store
			vectorStore.delete(documents.stream().map(doc -> doc.getId()).toList());
			results = vectorStore.similaritySearch(SearchRequest.query("Great Depression").withTopK(1));
			assertThat(results).hasSize(0);
		});
	}

	@Configuration(proxyBeanMethods = false)
	static class Config {

		@Bean
		public EmbeddingClient embeddingClient() {
			return new TransformersEmbeddingClient();
		}

	}

}

org.springframework.ai.vectorstore.SearchRequest.query
[((3572, 3632), 'org.springframework.ai.vectorstore.SearchRequest.query'), ((4021, 4072), 'org.springframework.ai.vectorstore.SearchRequest.query')]