/*
 * 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.model.openai.autoconfigure.tool;

import java.util.stream.Collectors;

import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.condition.EnabledIfEnvironmentVariable;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.model.openai.autoconfigure.OpenAiChatAutoConfiguration;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.api.OpenAiApi.ChatModel;
import org.springframework.ai.tool.ToolCallback;
import org.springframework.ai.tool.function.FunctionToolCallback;
import org.springframework.boot.autoconfigure.AutoConfigurations;
import org.springframework.boot.test.context.runner.ApplicationContextRunner;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

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

@EnabledIfEnvironmentVariable(named = "OPENAI_API_KEY", matches = ".*")
public class OpenAiFunctionCallback2IT {

	private final Logger logger = LoggerFactory.getLogger(OpenAiFunctionCallback2IT.class);

	private final ApplicationContextRunner contextRunner = new ApplicationContextRunner()
		.withPropertyValues("spring.ai.openai.apiKey=" + System.getenv("OPENAI_API_KEY"),
				"spring.ai.openai.chat.options.model=" + ChatModel.GPT_4_O_MINI.getName())
		.withConfiguration(AutoConfigurations.of(OpenAiChatAutoConfiguration.class))
		.withUserConfiguration(Config.class);

	@Test
	void functionCallTest() {
		this.contextRunner.withPropertyValues("spring.ai.openai.chat.options.temperature=0.1").run(context -> {

			OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);

			// @formatter:off
			ChatClient chatClient = ChatClient.builder(chatModel)
				.defaultToolNames("WeatherInfo")
				.defaultUser(u -> u.text("What's the weather like in {cities}?"))
				.build();

			String content = chatClient.prompt()
				.user(u -> u.param("cities", "San Francisco, Tokyo, Paris"))
				.call().content();
			// @formatter:on

			logger.info("Response: {}", content);

			assertThat(content).contains("30", "10", "15");
		});
	}

	@Test
	void streamFunctionCallTest() {
		this.contextRunner.withPropertyValues("spring.ai.openai.chat.options.temperature=0.1").run(context -> {

			OpenAiChatModel chatModel = context.getBean(OpenAiChatModel.class);

			// @formatter:off
			String content = ChatClient.builder(chatModel).build().prompt()
				.toolNames("WeatherInfo")
				.user("What's the weather like in San Francisco, Tokyo, and Paris?")
				.stream().content()
				.collectList().block().stream().collect(Collectors.joining());
			// @formatter:on

			logger.info("Response: {}", content);

			assertThat(content).contains("30", "10", "15");
		});
	}

	@Configuration
	static class Config {

		@Bean
		public ToolCallback weatherFunctionInfo() {

			return FunctionToolCallback.builder("WeatherInfo", new MockWeatherService())
				.description("Get the weather in location")
				.inputType(MockWeatherService.Request.class)
				.build();
		}

	}

}
