/*
 * Copyright 2025-2025 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.openai.chat.proxy;

import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.condition.EnabledIfEnvironmentVariable;
import reactor.core.publisher.Flux;

import org.springframework.ai.chat.messages.AssistantMessage;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.model.Generation;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.chat.prompt.SystemPromptTemplate;
import org.springframework.ai.model.SimpleApiKey;
import org.springframework.ai.model.tool.ToolCallingManager;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.openai.api.OpenAiApi;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.SpringBootConfiguration;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.context.annotation.Bean;
import org.springframework.core.io.Resource;

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

/**
 * @author Jonghoon Park
 */
@SpringBootTest(classes = VertexAIGeminiWithOpenAiChatModelIT.Config.class)
@EnabledIfEnvironmentVariable(named = "GEMINI_API_KEY", matches = ".+")
class VertexAIGeminiWithOpenAiChatModelIT {

	private static final String VERTEX_AI_GEMINI_BASE_URL = "https://generativelanguage.googleapis.com";

	private static final String VERTEX_AI_GEMINI_DEFAULT_MODEL = "gemini-2.0-flash";

	@Value("classpath:/prompts/system-message.st")
	private Resource systemResource;

	@Autowired
	private OpenAiChatModel chatModel;

	@Test
	void roleTest() {
		UserMessage userMessage = new UserMessage(
				"Tell me about 3 famous pirates from the Golden Age of Piracy and what they did.");
		SystemPromptTemplate systemPromptTemplate = new SystemPromptTemplate(this.systemResource);
		Message systemMessage = systemPromptTemplate.createMessage(Map.of("name", "Bob", "voice", "pirate"));
		Prompt prompt = new Prompt(List.of(userMessage, systemMessage));
		ChatResponse response = this.chatModel.call(prompt);
		assertThat(response.getResults()).hasSize(1);
		assertThat(response.getResults().get(0).getOutput().getText()).contains("Blackbeard");
	}

	@Test
	void streamRoleTest() {
		UserMessage userMessage = new UserMessage(
				"Tell me about 3 famous pirates from the Golden Age of Piracy and what they did.");
		SystemPromptTemplate systemPromptTemplate = new SystemPromptTemplate(this.systemResource);
		Message systemMessage = systemPromptTemplate.createMessage(Map.of("name", "Bob", "voice", "pirate"));
		Prompt prompt = new Prompt(List.of(userMessage, systemMessage));
		Flux<ChatResponse> flux = this.chatModel.stream(prompt);

		List<ChatResponse> responses = flux.collectList().block();
		assertThat(responses.size()).isGreaterThan(1);

		String stitchedResponseContent = responses.stream()
			.map(ChatResponse::getResults)
			.flatMap(List::stream)
			.map(Generation::getOutput)
			.map(AssistantMessage::getText)
			.collect(Collectors.joining());

		assertThat(stitchedResponseContent).contains("Blackbeard");
	}

	@SpringBootConfiguration
	static class Config {

		@Bean
		public OpenAiApi chatCompletionApi() {
			return OpenAiApi.builder()
				.baseUrl(VERTEX_AI_GEMINI_BASE_URL)
				.completionsPath("/v1beta/openai/chat/completions")
				.apiKey(new SimpleApiKey(System.getenv("GEMINI_API_KEY")))
				.build();
		}

		@Bean
		public OpenAiChatModel openAiClient(OpenAiApi openAiApi) {
			return OpenAiChatModel.builder()
				.openAiApi(openAiApi)
				.toolCallingManager(ToolCallingManager.builder().build())
				.defaultOptions(OpenAiChatOptions.builder().model(VERTEX_AI_GEMINI_DEFAULT_MODEL).build())
				.build();
		}

	}

}
