package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
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import cn.iocoder.yudao.module.ai.framework.ai.core.model.hunyuan.HunYuanChatModel;
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import org.junit.jupiter.api.Disabled;
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import org.junit.jupiter.api.Test;
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import org.springframework.ai.chat.messages.Message;
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import org.springframework.ai.chat.messages.SystemMessage;
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import org.springframework.ai.chat.messages.UserMessage;
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import org.springframework.ai.chat.model.ChatResponse;
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import org.springframework.ai.chat.prompt.Prompt;
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import org.springframework.ai.deepseek.DeepSeekChatModel;
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import org.springframework.ai.deepseek.DeepSeekChatOptions;
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import org.springframework.ai.deepseek.api.DeepSeekApi;
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import reactor.core.publisher.Flux;
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import java.util.ArrayList;
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import java.util.List;
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/**
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* {@link HunYuanChatModel} 集成测试
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*
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* @author 芋道源码
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*/
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public class HunYuanChatModelTests {
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private final DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
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.deepSeekApi(DeepSeekApi.builder()
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.baseUrl(HunYuanChatModel.BASE_URL)
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.completionsPath(HunYuanChatModel.COMPLETE_PATH)
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.apiKey("sk-abc") // apiKey
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.build())
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.defaultOptions(DeepSeekChatOptions.builder()
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.model(HunYuanChatModel.MODEL_DEFAULT) // 模型
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.temperature(0.7)
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.build())
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.build();
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private final HunYuanChatModel chatModel = new HunYuanChatModel(openAiChatModel);
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@Test
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@Disabled
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public void testCall() {
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// 准备参数
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List<Message> messages = new ArrayList<>();
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messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
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messages.add(new UserMessage("1 + 1 = ？"));
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// 调用
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ChatResponse response = chatModel.call(new Prompt(messages));
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// 打印结果
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System.out.println(response);
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}
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@Test
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@Disabled
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public void testStream() {
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// 准备参数
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List<Message> messages = new ArrayList<>();
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messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
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messages.add(new UserMessage("1 + 1 = ？"));
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// 调用
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Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
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// 打印结果
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flux.doOnNext(System.out::println).then().block();
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}
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@Test
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@Disabled
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public void testStream_thinking() {
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// 准备参数
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List<Message> messages = new ArrayList<>();
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messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
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DeepSeekChatOptions options = DeepSeekChatOptions.builder()
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.model("hunyuan-a13b")
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// .model("hunyuan-turbos-latest")
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.build();
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// 调用
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Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
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// 打印结果
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flux.doOnNext(response -> {
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// System.out.println(response);
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System.out.println(response.getResult().getOutput());
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}).then().block();
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}
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private final DeepSeekChatModel deepSeekOpenAiChatModel = DeepSeekChatModel.builder()
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.deepSeekApi(DeepSeekApi.builder()
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.baseUrl(HunYuanChatModel.DEEP_SEEK_BASE_URL)
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.completionsPath(HunYuanChatModel.COMPLETE_PATH)
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.apiKey("sk-abc") // apiKey
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.build())
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.defaultOptions(DeepSeekChatOptions.builder()
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// .model(HunYuanChatModel.DEEP_SEEK_MODEL_DEFAULT) // 模型（"deepseek-v3"）
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.model("deepseek-r1") // 模型（"deepseek-r1"）
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.temperature(0.7)
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.build())
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.build();
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private final HunYuanChatModel deepSeekChatModel = new HunYuanChatModel(deepSeekOpenAiChatModel);
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@Test
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@Disabled
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public void testCall_deepseek() {
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// 准备参数
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List<Message> messages = new ArrayList<>();
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messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
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messages.add(new UserMessage("1 + 1 = ？"));
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// 调用
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ChatResponse response = deepSeekChatModel.call(new Prompt(messages));
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// 打印结果
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System.out.println(response);
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}
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@Test
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@Disabled
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public void testStream_deepseek() {
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// 准备参数
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List<Message> messages = new ArrayList<>();
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messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
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messages.add(new UserMessage("1 + 1 = ？"));
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// 调用
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Flux<ChatResponse> flux = deepSeekChatModel.stream(new Prompt(messages));
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// 打印结果
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flux.doOnNext(System.out::println).then().block();
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}
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@Test
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@Disabled
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public void testStream_deepseek_thinking() {
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// 准备参数
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List<Message> messages = new ArrayList<>();
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messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
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DeepSeekChatOptions options = DeepSeekChatOptions.builder()
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.model("deepseek-r1")
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.build();
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// 调用
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Flux<ChatResponse> flux = deepSeekChatModel.stream(new Prompt(messages, options));
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// 打印结果
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flux.doOnNext(response -> {
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// System.out.println(response);
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System.out.println(response.getResult().getOutput());
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}).then().block();
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}
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}
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