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lijun 2026-02-04 21:55:17 +08:00
parent dc2017266d
commit 250107018a
38 changed files with 90 additions and 2587 deletions
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87
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/AnthropicChatModelTest.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.anthropic.AnthropicChatModel;
import org.springframework.ai.anthropic.AnthropicChatOptions;
import org.springframework.ai.anthropic.api.AnthropicApi;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link AnthropicChatModel} 集成测试类
*
* @author 研筑科技
*/
public class AnthropicChatModelTest {
private final AnthropicChatModel chatModel = AnthropicChatModel.builder()
.anthropicApi(AnthropicApi.builder()
.apiKey("sk-muubv7cXeLw0Etgs743f365cD5Ea44429946Fa7e672d8942")
.baseUrl("https://aihubmix.com")
.build())
.defaultOptions(AnthropicChatOptions.builder()
.model(AnthropicApi.ChatModel.CLAUDE_SONNET_4_5)
.temperature(0.7)
.maxTokens(4096)
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
// TODO @芋艿：需要等 spring ai 升级：https://github.com/spring-projects/spring-ai/pull/2800
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("thkinking 下，1+1 为什么等于 2 "));
AnthropicChatOptions options = AnthropicChatOptions.builder()
.model(AnthropicApi.ChatModel.CLAUDE_SONNET_4_5)
.thinking(AnthropicApi.ThinkingType.ENABLED, 3096)
.temperature(1D)
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult());
}).then().block();
}
}

71
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/AzureOpenAIChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import com.azure.ai.openai.OpenAIClientBuilder;
import com.azure.core.credential.AzureKeyCredential;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.azure.openai.AzureOpenAiChatModel;
import org.springframework.ai.azure.openai.AzureOpenAiChatOptions;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
import static org.springframework.ai.model.azure.openai.autoconfigure.AzureOpenAiChatProperties.DEFAULT_DEPLOYMENT_NAME;
/**
* {@link AzureOpenAiChatModel} 集成测试
*
* @author 研筑科技
*/
public class AzureOpenAIChatModelTests {
// TODO @芋艿：晚点在调整
private final OpenAIClientBuilder openAiApi = new OpenAIClientBuilder()
.endpoint("https://eastusprejade.openai.azure.com")
.credential(new AzureKeyCredential("xxx"));
private final AzureOpenAiChatModel chatModel = AzureOpenAiChatModel.builder()
.openAIClientBuilder(openAiApi)
.defaultOptions(AzureOpenAiChatOptions.builder()
.deploymentName(DEFAULT_DEPLOYMENT_NAME)
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

67
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/BaiChuanChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import com.yanzhu.module.ai.framework.ai.core.model.baichuan.BaiChuanChatModel;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.openai.api.OpenAiApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link BaiChuanChatModel} 集成测试
*
* @author 研筑科技
*/
public class BaiChuanChatModelTests {
private final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(BaiChuanChatModel.BASE_URL)
.apiKey("sk-61b6766a94c70786ed02673f5e16af3c") // apiKey
.build())
.defaultOptions(OpenAiChatOptions.builder()
.model("Baichuan4-Turbo") // 模型（https://platform.baichuan-ai.com/docs/api）
.temperature(0.7)
.build())
.build();
private final BaiChuanChatModel chatModel = new BaiChuanChatModel(openAiChatModel);
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
}

63
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/CozeChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.api.OpenAiApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* 基于 {@link OpenAiChatModel} 集成 Coze 测试
*
* @author 研筑科技
*/
public class CozeChatModelTests {
private final OpenAiChatModel chatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl("http://127.0.0.1:3000")
.apiKey("app-4hy2d7fJauSbrKbzTKX1afuP") // apiKey
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

82
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/DeepSeekChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.deepseek.DeepSeekChatModel;
import org.springframework.ai.deepseek.DeepSeekChatOptions;
import org.springframework.ai.deepseek.api.DeepSeekApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link DeepSeekChatModel} 集成测试
*
* @author 研筑科技
*/
public class DeepSeekChatModelTests {
private final DeepSeekChatModel chatModel = DeepSeekChatModel.builder()
.deepSeekApi(DeepSeekApi.builder()
.apiKey("sk-eaf4172a057344dd9bc64b1f806b6axx") // apiKey
.build())
.defaultOptions(DeepSeekChatOptions.builder()
.model("deepseek-chat") // 模型
.temperature(0.7)
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
DeepSeekChatOptions options = DeepSeekChatOptions.builder()
.model("deepseek-reasoner")
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

63
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/DifyChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.api.OpenAiApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* 基于 {@link OpenAiChatModel} 集成 Dify 测试
*
* @author 研筑科技
*/
public class DifyChatModelTests {
private final OpenAiChatModel chatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl("http://127.0.0.1:3000")
.apiKey("app-4hy2d7fJauSbrKbzTKX1afuP") // apiKey
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

92
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/DouBaoChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import com.yanzhu.module.ai.framework.ai.core.model.doubao.DouBaoChatModel;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.deepseek.DeepSeekChatModel;
import org.springframework.ai.deepseek.DeepSeekChatOptions;
import org.springframework.ai.deepseek.api.DeepSeekApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link DouBaoChatModel} 集成测试
*
* @author 研筑科技
*/
public class DouBaoChatModelTests {
/**
* 相比 OpenAIChatModel 来说，DeepSeekChatModel 可以兼容豆包的 thinking 能力！
*/
private final DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
.deepSeekApi(DeepSeekApi.builder()
.baseUrl(DouBaoChatModel.BASE_URL)
.completionsPath(DouBaoChatModel.COMPLETE_PATH)
.apiKey("5c1b5747-26d2-4ebd-a4e0-dd0e8d8b4272") // apiKey
.build())
.defaultOptions(DeepSeekChatOptions.builder()
.model("doubao-1-5-lite-32k-250115") // 模型（doubao）
// .model("doubao-seed-1-6-thinking-250715") // 模型（doubao）
// .model("deepseek-r1-250120") // 模型（deepseek）
.temperature(0.7)
.build())
.build();
private final DouBaoChatModel chatModel = new DouBaoChatModel(openAiChatModel);
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("详细推理下，帮我设计一个用户中心！"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
DeepSeekChatOptions options = DeepSeekChatOptions.builder()
.model("doubao-seed-1-6-thinking-250715")
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

63
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/FastGPTChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.api.OpenAiApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* 基于 {@link OpenAiChatModel} 集成 FastGPT 测试
*
* @author 研筑科技
*/
public class FastGPTChatModelTests {
private final OpenAiChatModel chatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl("https://cloud.fastgpt.cn/api")
.apiKey("fastgpt-aqcc61kFtF8CeaglnGAfQOCIDWwjGdJVJHv6hIlMo28otFlva2aZNK") // apiKey
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

68
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/GeminiChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import com.yanzhu.module.ai.framework.ai.core.model.gemini.GeminiChatModel;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.openai.api.OpenAiApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link GeminiChatModel} 集成测试
*
* @author 研筑科技
*/
public class GeminiChatModelTests {
private final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(GeminiChatModel.BASE_URL)
.completionsPath(GeminiChatModel.COMPLETE_PATH)
.apiKey("AIzaSyAVoBxgoFvvte820vEQMma2LKBnC98bqMQ")
.build())
.defaultOptions(OpenAiChatOptions.builder()
.model(GeminiChatModel.MODEL_DEFAULT) // 模型
.temperature(0.7)
.build())
.build();
private final GeminiChatModel chatModel = new GeminiChatModel(openAiChatModel);
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
}

150
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/HunYuanChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import com.yanzhu.module.ai.framework.ai.core.model.hunyuan.HunYuanChatModel;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.deepseek.DeepSeekChatModel;
import org.springframework.ai.deepseek.DeepSeekChatOptions;
import org.springframework.ai.deepseek.api.DeepSeekApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link HunYuanChatModel} 集成测试
*
* @author 研筑科技
*/
public class HunYuanChatModelTests {
private final DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
.deepSeekApi(DeepSeekApi.builder()
.baseUrl(HunYuanChatModel.BASE_URL)
.completionsPath(HunYuanChatModel.COMPLETE_PATH)
.apiKey("sk-abc") // apiKey
.build())
.defaultOptions(DeepSeekChatOptions.builder()
.model(HunYuanChatModel.MODEL_DEFAULT) // 模型
.temperature(0.7)
.build())
.build();
private final HunYuanChatModel chatModel = new HunYuanChatModel(openAiChatModel);
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
DeepSeekChatOptions options = DeepSeekChatOptions.builder()
.model("hunyuan-a13b")
// .model("hunyuan-turbos-latest")
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
private final DeepSeekChatModel deepSeekOpenAiChatModel = DeepSeekChatModel.builder()
.deepSeekApi(DeepSeekApi.builder()
.baseUrl(HunYuanChatModel.DEEP_SEEK_BASE_URL)
.completionsPath(HunYuanChatModel.COMPLETE_PATH)
.apiKey("sk-abc") // apiKey
.build())
.defaultOptions(DeepSeekChatOptions.builder()
// .model(HunYuanChatModel.DEEP_SEEK_MODEL_DEFAULT) // 模型（"deepseek-v3"）
.model("deepseek-r1") // 模型（"deepseek-r1"）
.temperature(0.7)
.build())
.build();
private final HunYuanChatModel deepSeekChatModel = new HunYuanChatModel(deepSeekOpenAiChatModel);
@Test
@Disabled
public void testCall_deepseek() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = deepSeekChatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream_deepseek() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = deepSeekChatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
@Test
@Disabled
public void testStream_deepseek_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
DeepSeekChatOptions options = DeepSeekChatOptions.builder()
.model("deepseek-r1")
.build();
// 调用
Flux<ChatResponse> flux = deepSeekChatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

86
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/LlamaChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.ollama.OllamaChatModel;
import org.springframework.ai.ollama.api.OllamaApi;
import org.springframework.ai.ollama.api.OllamaChatOptions;
import org.springframework.ai.ollama.api.OllamaModel;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link OllamaChatModel} 集成测试
*
* @author 研筑科技
*/
public class LlamaChatModelTests {
private final OllamaChatModel chatModel = OllamaChatModel.builder()
.ollamaApi(OllamaApi.builder()
.baseUrl("http://127.0.0.1:11434") // Ollama 服务地址
.build())
.defaultOptions(OllamaChatOptions.builder()
.model(OllamaModel.LLAMA3.getName()) // 模型
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
OllamaChatOptions options = OllamaChatOptions.builder()
.model("qwen3")
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

82
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/MiniMaxChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.minimax.MiniMaxChatModel;
import org.springframework.ai.minimax.MiniMaxChatOptions;
import org.springframework.ai.minimax.api.MiniMaxApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link MiniMaxChatModel} 的集成测试
*
* @author 研筑科技
*/
public class MiniMaxChatModelTests {
private final MiniMaxChatModel chatModel = new MiniMaxChatModel(
new MiniMaxApi("eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJHcm91cE5hbWUiOiLnjovmlofmlowiLCJVc2VyTmFtZSI6IueOi-aWh-aWjCIsIkFjY291bnQiOiIiLCJTdWJqZWN0SUQiOiIxODk3Mjg3MjQ5NDU2ODA4MzQ2IiwiUGhvbmUiOiIxNTYwMTY5MTM5OSIsIkdyb3VwSUQiOiIxODk3Mjg3MjQ5NDQ4NDE5NzM4IiwiUGFnZU5hbWUiOiIiLCJNYWlsIjoiIiwiQ3JlYXRlVGltZSI6IjIwMjUtMDMtMTEgMTI6NTI6MDIiLCJUb2tlblR5cGUiOjEsImlzcyI6Im1pbmltYXgifQ.aAuB7gWW_oA4IYhh-CF7c9MfWWxKN49B_HK-DYjXaDwwffhiG-H1571z1WQhp9QytWG-DqgLejneeSxkiq1wQIe3FsEP2wz4BmGBct31LehbJu8ehLxg_vg75Uod1nFAHbm5mZz6JSVLNIlSo87Xr3UtSzJhAXlapEkcqlA4YOzOpKrZ8l5_OJPTORTCmHWZYgJcRS-faNiH62ZnUEHUozesTFhubJHo5GfJCw_edlnmfSUocERV1BjWvenhZ9My-aYXNktcW9WaSj9l6gayV7A0Ium_PL55T9ln1PcI8gayiVUKJGJDoqNyF1AF9_aF9NOKtTnQzwNqnZdlTYH6hw"), // 密钥
MiniMaxChatOptions.builder()
.model(MiniMaxApi.ChatModel.ABAB_6_5_G_Chat.getValue()) // 模型
.build());
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
// TODO @芋艿：暂时没解析 reasoning_content 结果，需要等官方修复
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
MiniMaxChatOptions options = MiniMaxChatOptions.builder()
.model("MiniMax-M1")
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

87
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/MoonshotChatModelTests.java
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@ -1,87 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springaicommunity.moonshot.MoonshotChatModel;
import org.springaicommunity.moonshot.MoonshotChatOptions;
import org.springaicommunity.moonshot.api.MoonshotApi;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link MoonshotChatModel} 的集成测试
*
* @author 研筑科技
*/
public class MoonshotChatModelTests {
private final MoonshotChatModel chatModel = MoonshotChatModel.builder()
.moonshotApi(MoonshotApi.builder()
.apiKey("sk-aHYYV1SARscItye5QQRRNbXij4fy65Ee7pNZlC9gsSQnUKXA") // 密钥
.build())
.defaultOptions(MoonshotChatOptions.builder()
.model("kimi-k2-0711-preview") // 模型
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
// TODO @芋艿：暂时没解析 reasoning_content 结果，需要等官方修复
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
MoonshotChatOptions options = MoonshotChatOptions.builder()
// .model("kimi-k2-0711-preview")
.model("kimi-thinking-preview")
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

67
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/OllamaChatModelTests.java
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@ -1,67 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.ollama.OllamaChatModel;
import org.springframework.ai.ollama.api.OllamaApi;
import org.springframework.ai.ollama.api.OllamaChatOptions;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link OllamaChatModel} 集成测试
*
* @author 研筑科技
*/
public class OllamaChatModelTests {
private final OllamaChatModel chatModel = OllamaChatModel.builder()
.ollamaApi(OllamaApi.builder()
.baseUrl("http://127.0.0.1:11434") // Ollama 服务地址
.build())
.defaultOptions(OllamaChatOptions.builder()
// .model("qwen") // 模型（https://ollama.com/library/qwen）
.model("deepseek-r1") // 模型（https://ollama.com/library/deepseek-r1）
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

95
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/OpenAIChatModelTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.chat;
import com.azure.ai.openai.models.ReasoningEffortValue;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.openai.api.OpenAiApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link OpenAiChatModel} 集成测试
*
* @author 研筑科技
*/
public class OpenAIChatModelTests {
private final OpenAiChatModel chatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl("https://api.holdai.top")
.apiKey("sk-z5joyRoV1iFEnh2SAi8QPNrIZTXyQSyxTmD5CoNDQbFixK2l") // apiKey
.build())
.defaultOptions(OpenAiChatOptions.builder()
.model("gpt-5-nano-2025-08-07") // 模型
// .model(OpenAiApi.ChatModel.O1) // 模型
.temperature(0.7)
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("帮我推理下，怎么实现一个用户中心！"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
// TODO @芋艿：无法触发思考的字段返回，需要 response api：https://github.com/spring-projects/spring-ai/issues/2962
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
OpenAiChatOptions options = OpenAiChatOptions.builder()
.model("gpt-5")
// .model(OpenAiApi.ChatModel.O4_MINI)
// .model("o3-pro")
.reasoningEffort(ReasoningEffortValue.LOW.getValue())
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

89
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/SiliconFlowChatModelTests.java
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@ -1,89 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.chat;
import com.yanzhu.module.ai.framework.ai.core.model.siliconflow.SiliconFlowApiConstants;
import com.yanzhu.module.ai.framework.ai.core.model.siliconflow.SiliconFlowChatModel;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.deepseek.DeepSeekChatModel;
import org.springframework.ai.deepseek.DeepSeekChatOptions;
import org.springframework.ai.deepseek.api.DeepSeekApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link SiliconFlowChatModel} 集成测试
*
* @author 研筑科技
*/
public class SiliconFlowChatModelTests {
private final DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
.deepSeekApi(DeepSeekApi.builder()
.baseUrl(SiliconFlowApiConstants.DEFAULT_BASE_URL)
.apiKey("sk-epsakfenqnyzoxhmbucsxlhkdqlcbnimslqoivkshalvdozz") // apiKey
.build())
.defaultOptions(DeepSeekChatOptions.builder()
.model(SiliconFlowApiConstants.MODEL_DEFAULT) // 模型
// .model("deepseek-ai/DeepSeek-R1") // 模型（deepseek-ai/DeepSeek-R1）可用赠费
// .model("Pro/deepseek-ai/DeepSeek-R1") // 模型（Pro/deepseek-ai/DeepSeek-R1）需要付费
.temperature(0.7)
.build())
.build();
private final SiliconFlowChatModel chatModel = new SiliconFlowChatModel(openAiChatModel);
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
DeepSeekChatOptions options = DeepSeekChatOptions.builder()
.model("deepseek-ai/DeepSeek-R1")
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

129
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/TongYiChatModelTests.java
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@ -1,129 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.chat;
import com.yanzhu.framework.common.util.json.JsonUtils;
import com.alibaba.cloud.ai.dashscope.api.DashScopeApi;
import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatModel;
import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatOptions;
import com.alibaba.cloud.ai.dashscope.rerank.DashScopeRerankModel;
import com.alibaba.cloud.ai.dashscope.rerank.DashScopeRerankOptions;
import com.alibaba.cloud.ai.model.RerankModel;
import com.alibaba.cloud.ai.model.RerankOptions;
import com.alibaba.cloud.ai.model.RerankRequest;
import com.alibaba.cloud.ai.model.RerankResponse;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.document.Document;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
import static java.util.Arrays.asList;
/**
* {@link DashScopeChatModel} 集成测试类
*
* @author fansili
*/
public class TongYiChatModelTests {
private final DashScopeChatModel chatModel = DashScopeChatModel.builder()
.dashScopeApi(DashScopeApi.builder()
.apiKey("sk-47aa124781be4bfb95244cc62f63f7d0")
.build())
.defaultOptions(DashScopeChatOptions.builder()
// .withModel("qwen1.5-72b-chat") // 模型
.withModel("qwen3-235b-a22b-thinking-2507") // 模型
// .withModel("deepseek-r1") // 模型（deepseek-r1）
// .withModel("deepseek-v3") // 模型（deepseek-v3）
// .withModel("deepseek-r1-distill-qwen-1.5b") // 模型（deepseek-r1-distill-qwen-1.5b）
// .withEnableThinking(true)
.build())
.build();
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
// 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。"));
messages.add(new UserMessage("帮我推理下，怎么实现一个用户中心！"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
DashScopeChatOptions options = DashScopeChatOptions.builder()
.withModel("qwen3-235b-a22b-thinking-2507")
// .withModel("qwen-max-2025-01-25")
.withEnableThinking(true) // 必须设置，否则会报错
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
@Test
@Disabled
public void testRerank() {
// 准备环境
RerankModel rerankModel = new DashScopeRerankModel(
DashScopeApi.builder()
.apiKey("sk-47aa124781be4bfb95244cc62f63f7d0")
.build());
// 准备参数
String query = "spring";
Document document01 = new Document("abc");
Document document02 = new Document("sapring");
RerankOptions options = DashScopeRerankOptions.builder()
.withTopN(1)
.withModel("gte-rerank-v2")
.build();
RerankRequest rerankRequest = new RerankRequest(
query,
asList(document01, document02),
options);
// 调用
RerankResponse call = rerankModel.call(rerankRequest);
// 打印结果
System.out.println(JsonUtils.toJsonPrettyString(call));
}
}

88
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/XingHuoChatModelTests.java
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@ -1,88 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.chat;
import com.yanzhu.module.ai.framework.ai.core.model.xinghuo.XingHuoChatModel;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.deepseek.DeepSeekChatModel;
import org.springframework.ai.deepseek.DeepSeekChatOptions;
import org.springframework.ai.deepseek.api.DeepSeekApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link XingHuoChatModel} 集成测试
*
* @author fansili
*/
public class XingHuoChatModelTests {
private final DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
.deepSeekApi(DeepSeekApi.builder()
.baseUrl(XingHuoChatModel.BASE_URL_V2)
.completionsPath(XingHuoChatModel.BASE_COMPLETIONS_PATH_V2)
.apiKey("75b161ed2aef4719b275d6e7f2a4d4cd:YWYxYWI2MTA4ODI2NGZlYTQyNjAzZTcz") // appKey:secretKey
.build())
.defaultOptions(DeepSeekChatOptions.builder()
// .model("generalv3.5") // 模型
.model("x1") // 模型
.temperature(0.7)
.build())
.build();
private final XingHuoChatModel chatModel = new XingHuoChatModel(openAiChatModel);
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
DeepSeekChatOptions options = DeepSeekChatOptions.builder()
.model("x1")
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

62
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/YiYanChatModelTests.java
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@ -1,62 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springaicommunity.qianfan.QianFanChatModel;
import org.springaicommunity.qianfan.QianFanChatOptions;
import org.springaicommunity.qianfan.api.QianFanApi;
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.prompt.Prompt;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
// TODO @芋艿：百度千帆 API 提供了 V2 版本，目前 Spring AI 不兼容，可关键 <https://github.com/spring-projects/spring-ai/issues/2179> 进展
/**
* {@link QianFanChatModel} 的集成测试
*
* @author fansili
*/
public class YiYanChatModelTests {
private final QianFanChatModel chatModel = new QianFanChatModel(
new QianFanApi("DGnyzREuaY7av7c38bOM9Ji2", "9aR8myflEOPDrEeLhoXv0FdqANOAyIZW"), // 密钥
QianFanChatOptions.builder()
.model("ERNIE-4.5-8K-Preview")
.build()
);
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
// TODO @芋艿：文心一言，只要带上 system message 就报错，已经各种测试，很莫名！
// 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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
// TODO @芋艿：文心一言，只要带上 system message 就报错，已经各种测试，很莫名！
// 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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(System.out::println).then().block();
}
}

84
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/chat/ZhiPuAiChatModelTests.java
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@ -1,84 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.chat;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.zhipuai.ZhiPuAiChatModel;
import org.springframework.ai.zhipuai.ZhiPuAiChatOptions;
import org.springframework.ai.zhipuai.api.ZhiPuAiApi;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
/**
* {@link ZhiPuAiChatModel} 的集成测试
*
* @author 研筑科技
*/
public class ZhiPuAiChatModelTests {
private final ZhiPuAiChatModel chatModel = new ZhiPuAiChatModel(
ZhiPuAiApi.builder().apiKey("2f35fb6ca4ea41fab898729b7fac086c.6ESSfPcCkxaKEUlR").build(), // 密钥
ZhiPuAiChatOptions.builder()
.model(ZhiPuAiApi.ChatModel.GLM_4.getName()) // 模型
.build()
);
@Test
@Disabled
public void testCall() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
ChatResponse response = chatModel.call(new Prompt(messages));
// 打印结果
System.out.println(response);
System.out.println(response.getResult().getOutput());
}
@Test
@Disabled
public void testStream() {
// 准备参数
List<Message> messages = new ArrayList<>();
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。"));
messages.add(new UserMessage("1 + 1 = ？"));
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
// TODO @芋艿：暂时没解析 reasoning_content 结果，需要等官方修复
@Test
@Disabled
public void testStream_thinking() {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
ZhiPuAiChatOptions options = ZhiPuAiChatOptions.builder()
.model("GLM-4.5")
.build();
// 调用
Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
// 打印结果
flux.doOnNext(response -> {
// System.out.println(response);
System.out.println(response.getResult().getOutput());
}).then().block();
}
}

62
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/image/MidjourneyApiTests.java
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@ -1,62 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.image;
import com.yanzhu.module.ai.framework.ai.core.model.midjourney.api.MidjourneyApi;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import java.util.Collections;
import java.util.List;
/**
* {@link MidjourneyApi} 集成测试
*
* @author 研筑科技
*/
public class MidjourneyApiTests {
private final MidjourneyApi midjourneyApi = new MidjourneyApi(
"https://api.holdai.top/mj", // 链接
"sk-aN6nWn3fILjrgLFT0fC4Aa60B72e4253826c77B29dC94f17", // 密钥
null);
@Test
@Disabled
public void testImagine() {
// 准备参数
MidjourneyApi.ImagineRequest request = new MidjourneyApi.ImagineRequest(null,
"生成一个小猫，可爱的", null,
MidjourneyApi.ImagineRequest.buildState(512, 512, "6.0", MidjourneyApi.ModelEnum.MIDJOURNEY.getModel()));
// 方法调用
MidjourneyApi.SubmitResponse response = midjourneyApi.imagine(request);
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testAction() {
// 准备参数
MidjourneyApi.ActionRequest request = new MidjourneyApi.ActionRequest("1720277033455953",
"MJ::JOB::upsample::1::ee267661-ee52-4ced-a530-0343ba95af3b", null);
// 方法调用
MidjourneyApi.SubmitResponse response = midjourneyApi.action(request);
// 打印结果
System.out.println(response);
}
@Test
@Disabled
public void testGetTaskList() {
// 准备参数。该参数可以通过 MidjourneyApi.SubmitResponse 的 result 获取
// String taskId = "1720277033455953";
String taskId = "1720277214045971";
// 方法调用
List<MidjourneyApi.Notify> taskList = midjourneyApi.getTaskList(Collections.singletonList(taskId));
// 打印结果
System.out.println(taskList);
}
}

40
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/image/OpenAiImageModelTests.java
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@ -1,40 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.image;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.image.ImageOptions;
import org.springframework.ai.image.ImagePrompt;
import org.springframework.ai.image.ImageResponse;
import org.springframework.ai.openai.OpenAiImageModel;
import org.springframework.ai.openai.OpenAiImageOptions;
import org.springframework.ai.openai.api.OpenAiImageApi;
/**
* {@link OpenAiImageModel} 集成测试类
*
* @author fansili
*/
public class OpenAiImageModelTests {
private final OpenAiImageModel imageModel = new OpenAiImageModel(OpenAiImageApi.builder()
.baseUrl("https://api.holdai.top") // apiKey
.apiKey("sk-PytRecQlmjEteoa2RRN6cGnwslo72UUPLQVNEMS6K9yjbmpD")
.build());
@Test
@Disabled
public void testCall() {
// 准备参数
ImageOptions options = OpenAiImageOptions.builder()
.model(OpenAiImageApi.ImageModel.DALL_E_2.getValue()) // 这个模型比较便宜
.height(256).width(256)
.build();
ImagePrompt prompt = new ImagePrompt("中国长城!", options);
// 方法调用
ImageResponse response = imageModel.call(prompt);
// 打印结果
System.out.println(response);
}
}

43
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/image/QianFanImageTests.java
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@ -1,43 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.image;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springaicommunity.qianfan.QianFanImageModel;
import org.springaicommunity.qianfan.QianFanImageOptions;
import org.springaicommunity.qianfan.api.QianFanImageApi;
import org.springframework.ai.image.ImagePrompt;
import org.springframework.ai.image.ImageResponse;
import static com.yanzhu.module.ai.framework.ai.core.model.image.StabilityAiImageModelTests.viewImage;
// TODO @芋艿：百度千帆 API 提供了 V2 版本，目前 Spring AI 不兼容，可关键 <https://github.com/spring-projects/spring-ai/issues/2179> 进展
/**
* {@link QianFanImageModel} 集成测试类
*/
public class QianFanImageTests {
private final QianFanImageModel imageModel = new QianFanImageModel(
new QianFanImageApi("qS8k8dYr2nXunagK4SSU8Xjj", "pHGbx51ql2f0hOyabQvSZezahVC3hh3e")); // 密钥
@Test
@Disabled
public void testCall() {
// 准备参数
// 只支持 1024x1024、768x768、768x1024、1024x768、576x1024、1024x576
QianFanImageOptions imageOptions = QianFanImageOptions.builder()
.model(QianFanImageApi.ImageModel.Stable_Diffusion_XL.getValue())
.width(1024).height(1024)
.N(1)
.build();
ImagePrompt prompt = new ImagePrompt("good", imageOptions);
// 方法调用
ImageResponse response = imageModel.call(prompt);
// 打印结果
String b64Json = response.getResult().getOutput().getB64Json();
System.out.println(response);
viewImage(b64Json);
}
}

35
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/image/SiliconFlowImageModelTests.java
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@ -1,35 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.image;
import com.yanzhu.module.ai.framework.ai.core.model.siliconflow.SiliconFlowImageApi;
import com.yanzhu.module.ai.framework.ai.core.model.siliconflow.SiliconFlowImageModel;
import com.yanzhu.module.ai.framework.ai.core.model.siliconflow.SiliconFlowImageOptions;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.image.ImagePrompt;
import org.springframework.ai.image.ImageResponse;
/**
* {@link SiliconFlowImageModel} 集成测试
*/
public class SiliconFlowImageModelTests {
private final SiliconFlowImageModel imageModel = new SiliconFlowImageModel(
new SiliconFlowImageApi("sk-epsakfenqnyzoxhmbucsxlhkdqlcbnimslqoivkshalvdozz") // 密钥
);
@Test
@Disabled
public void testCall() {
// 准备参数
SiliconFlowImageOptions imageOptions = SiliconFlowImageOptions.builder()
.model("Kwai-Kolors/Kolors")
.build();
ImagePrompt prompt = new ImagePrompt("万里长城", imageOptions);
// 方法调用
ImageResponse response = imageModel.call(prompt);
// 打印结果
System.out.println(response);
}
}

65
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/image/StabilityAiImageModelTests.java
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@ -1,65 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.image;
import cn.hutool.core.codec.Base64;
import cn.hutool.core.thread.ThreadUtil;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.image.ImageOptions;
import org.springframework.ai.image.ImagePrompt;
import org.springframework.ai.image.ImageResponse;
import org.springframework.ai.openai.OpenAiImageOptions;
import org.springframework.ai.stabilityai.StabilityAiImageModel;
import org.springframework.ai.stabilityai.api.StabilityAiApi;
import javax.swing.*;
import java.awt.*;
import java.util.concurrent.TimeUnit;
/**
* {@link StabilityAiImageModel} 集成测试类
*
* @author fansili
*/
public class StabilityAiImageModelTests {
private final StabilityAiImageModel imageModel = new StabilityAiImageModel(
new StabilityAiApi("sk-e53UqbboF8QJCscYvzJscJxJXoFcFg4iJjl1oqgE7baJETmx") // 密钥
);
@Test
@Disabled
public void testCall() {
// 准备参数
ImageOptions options = OpenAiImageOptions.builder()
.model("stable-diffusion-v1-6")
.height(320).width(320)
.build();
ImagePrompt prompt = new ImagePrompt("great wall", options);
// 方法调用
ImageResponse response = imageModel.call(prompt);
// 打印结果
String b64Json = response.getResult().getOutput().getB64Json();
System.out.println(response);
viewImage(b64Json);
}
public static void viewImage(String b64Json) {
// 创建一个 JFrame
JFrame frame = new JFrame("Byte Image Display");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.setSize(800, 600);
// 创建一个 JLabel 来显示图片
byte[] imageBytes = Base64.decode(b64Json);
JLabel label = new JLabel(new ImageIcon(imageBytes));
// 将 JLabel 添加到 JFrame
frame.getContentPane().add(label, BorderLayout.CENTER);
// 显示 JFrame
frame.setVisible(true);
ThreadUtil.sleep(1, TimeUnit.HOURS);
}
}

41
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/image/TongYiImagesModelTest.java
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@ -1,41 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.image;
import com.alibaba.cloud.ai.dashscope.api.DashScopeImageApi;
import com.alibaba.cloud.ai.dashscope.image.DashScopeImageModel;
import com.alibaba.cloud.ai.dashscope.image.DashScopeImageOptions;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.image.ImageOptions;
import org.springframework.ai.image.ImagePrompt;
import org.springframework.ai.image.ImageResponse;
/**
* {@link DashScopeImageModel} 集成测试类
*
* @author fansili
*/
public class TongYiImagesModelTest {
private final DashScopeImageModel imageModel = DashScopeImageModel.builder()
.dashScopeApi(DashScopeImageApi.builder()
.apiKey("sk-47aa124781be4bfb95244cc62f63f7d0")
.build())
.build();
@Test
@Disabled
public void imageCallTest() {
// 准备参数
ImageOptions options = DashScopeImageOptions.builder()
.withModel("wanx-v1")
.withHeight(256).withWidth(256)
.build();
ImagePrompt prompt = new ImagePrompt("中国长城!", options);
// 方法调用
ImageResponse response = imageModel.call(prompt);
// 打印结果
System.out.println(response);
}
}

35
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/image/ZhiPuAiImageModelTests.java
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@ -1,35 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.image;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.image.ImagePrompt;
import org.springframework.ai.image.ImageResponse;
import org.springframework.ai.zhipuai.ZhiPuAiImageModel;
import org.springframework.ai.zhipuai.ZhiPuAiImageOptions;
import org.springframework.ai.zhipuai.api.ZhiPuAiImageApi;
/**
* {@link ZhiPuAiImageModel} 集成测试
*/
public class ZhiPuAiImageModelTests {
private final ZhiPuAiImageModel imageModel = new ZhiPuAiImageModel(
new ZhiPuAiImageApi("78d3228c1d9e5e342a3e1ab349e2dd7b.VXLoq5vrwK2ofboy") // 密钥
);
@Test
@Disabled
public void testCall() {
// 准备参数
ZhiPuAiImageOptions imageOptions = ZhiPuAiImageOptions.builder()
.model(ZhiPuAiImageApi.ImageModel.CogView_3.getValue())
.build();
ImagePrompt prompt = new ImagePrompt("万里长城", imageOptions);
// 方法调用
ImageResponse response = imageModel.call(prompt);
// 打印结果
System.out.println(response);
}
}

127
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/mcp/DouBaoMcpTests.java
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package com.yanzhu.module.ai.framework.ai.core.model.mcp;
import com.yanzhu.module.ai.framework.ai.core.model.doubao.DouBaoChatModel;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.openai.api.OpenAiApi;
import org.springframework.ai.tool.annotation.Tool;
import org.springframework.ai.tool.method.MethodToolCallbackProvider;
@Disabled
public class DouBaoMcpTests {
private final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(DouBaoChatModel.BASE_URL)
.apiKey("5c1b5747-26d2-4ebd-a4e0-dd0e8d8b4272") // apiKey
.build())
.defaultOptions(OpenAiChatOptions.builder()
.model("doubao-1-5-lite-32k-250115") // 模型（doubao）
.temperature(0.7)
.build())
.build();
private final DouBaoChatModel chatModel = new DouBaoChatModel(openAiChatModel);
private final MethodToolCallbackProvider provider = MethodToolCallbackProvider.builder()
.toolObjects(new UserService())
.build();
private final ChatClient chatClient = ChatClient.builder(chatModel)
.defaultTools(provider)
.build();
@Test
public void testMcpGetUserInfo() {
// 打印结果
System.out.println(chatClient.prompt()
.user("目前有哪些工具可以使用")
.call()
.content());
System.out.println("====================================");
// 打印结果
System.out.println(chatClient.prompt()
.user("小新的年龄是多少")
.call()
.content());
System.out.println("====================================");
// 打印结果
System.out.println(chatClient.prompt()
.user("获取小新的基本信息")
.call()
.content());
System.out.println("====================================");
// 打印结果
System.out.println(chatClient.prompt()
.user("小新是什么职业的")
.call()
.content());
System.out.println("====================================");
// 打印结果
System.out.println(chatClient.prompt()
.user("小新的教育背景")
.call()
.content());
System.out.println("====================================");
// 打印结果
System.out.println(chatClient.prompt()
.user("小新的兴趣爱好是什么")
.call()
.content());
System.out.println("====================================");
}
static class UserService {
@Tool(name = "getUserAge", description = "获取用户年龄")
public String getUserAge(String userName) {
return "《" + userName + "》的年龄为：18";
}
@Tool(name = "getUserSex", description = "获取用户性别")
public String getUserSex(String userName) {
return "《" + userName + "》的性别为：男";
}
@Tool(name = "getUserBasicInfo", description = "获取用户基本信息，包括姓名、年龄、性别等")
public String getUserBasicInfo(String userName) {
return "《" + userName + "》的基本信息：\n姓名：" + userName + "\n年龄：18\n性别：男\n身高：175cm\n体重：65kg";
}
@Tool(name = "getUserContact", description = "获取用户联系方式，包括电话、邮箱等")
public String getUserContact(String userName) {
return "《" + userName + "》的联系方式：\n电话：138****1234\n邮箱：" + userName.toLowerCase() + "@example.com\nQQ：123456789";
}
@Tool(name = "getUserAddress", description = "获取用户地址信息")
public String getUserAddress(String userName) {
return "《" + userName + "》的地址信息：北京市朝阳区科技园区88号";
}
@Tool(name = "getUserJob", description = "获取用户职业信息")
public String getUserJob(String userName) {
return "《" + userName + "》的职业信息：软件工程师，就职于ABC科技有限公司，工作年限5年";
}
@Tool(name = "getUserHobbies", description = "获取用户兴趣爱好")
public String getUserHobbies(String userName) {
return "《" + userName + "》的兴趣爱好：编程、阅读、旅游、摄影、打篮球";
}
@Tool(name = "getUserEducation", description = "获取用户教育背景")
public String getUserEducation(String userName) {
return "《" + userName + "》的教育背景：\n本科：计算机科学与技术专业，北京大学\n硕士：软件工程专业，清华大学";
}
}
}

84
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/music/SunoApiTests.java
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@ -1,84 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.music;
import cn.hutool.core.collection.ListUtil;
import com.yanzhu.module.ai.framework.ai.core.model.suno.api.SunoApi;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import java.util.List;
/**
* {@link SunoApi} 集成测试
*
* @author xiaoxin
*/
public class SunoApiTests {
private final SunoApi sunoApi = new SunoApi("https://suno-3tah0ycyt-status2xxs-projects.vercel.app");
// private final SunoApi sunoApi = new SunoApi("http://127.0.0.1:3001");
@Test // 描述模式
@Disabled
public void testGenerate() {
// 准备参数
SunoApi.MusicGenerateRequest generateRequest = new SunoApi.MusicGenerateRequest(
"happy music",
"chirp-v3-5",
false);
// 调用方法
List<SunoApi.MusicData> musicList = sunoApi.generate(generateRequest);
// 打印结果
System.out.println(musicList);
}
@Test // 歌词模式
@Disabled
public void testCustomGenerate() {
// 准备参数
SunoApi.MusicGenerateRequest generateRequest = new SunoApi.MusicGenerateRequest(
"创作一首带有轻松吉他旋律的流行歌曲，[verse] 描述夏日海滩的宁静，[chorus] 节奏加快，表达对自由的向往。",
"Happy",
"Happy Song",
"chirp-v3.5",
false,
false);
// 调用方法
List<SunoApi.MusicData> musicList = sunoApi.customGenerate(generateRequest);
// 打印结果
System.out.println(musicList);
}
@Test
@Disabled
public void testGenerateLyrics() {
// 调用方法
SunoApi.LyricsData lyricsData = sunoApi.generateLyrics("A soothing lullaby");
// 打印结果
System.out.println(lyricsData);
}
@Test
@Disabled
public void testGetMusicList() {
// 准备参数
// String id = "d460ddda-7c87-4f34-b751-419b08a590ca";
String id = "584729e5-0fe9-4157-86da-1b4803ff42bf";
// 调用方法
List<SunoApi.MusicData> musicList = sunoApi.getMusicList(ListUtil.of(id));
// 打印结果
System.out.println(musicList);
}
@Test
@Disabled
public void testGetLimitUsage() {
// 调用方法
SunoApi.LimitUsageData limitUsageData = sunoApi.getLimitUsage();
// 打印结果
System.out.println(limitUsageData);
}
}

319
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/model/ppt/xunfei/XunFeiPptApiTests.java
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@ -1,319 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.model.ppt.xunfei;
import cn.hutool.core.io.FileUtil;
import com.yanzhu.module.ai.framework.ai.core.model.xinghuo.api.XunFeiPptApi;
import com.yanzhu.framework.common.util.json.JsonUtils;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.mock.web.MockMultipartFile;
import org.springframework.web.multipart.MultipartFile;
import java.io.File;
/**
* {@link XunFeiPptApi} 集成测试
*
* @author xiaoxin
*/
public class XunFeiPptApiTests {
// 讯飞 API 配置信息，实际使用时请替换为您的应用信息
private static final String APP_ID = "6c8ac023";
private static final String API_SECRET = "Y2RjM2Q1MWJjZTdkYmFiODc0OGE5NmRk";
private final XunFeiPptApi xunfeiPptApi = new XunFeiPptApi(APP_ID, API_SECRET);
/**
* 获取 PPT 模板列表
*/
@Test
@Disabled
public void testGetTemplatePage() {
// 调用方法
XunFeiPptApi.TemplatePageResponse response = xunfeiPptApi.getTemplatePage("商务", 10);
// 打印结果
System.out.println("模板列表响应：" + JsonUtils.toJsonString(response));
if (response != null && response.data() != null && response.data().records() != null) {
System.out.println("模板总数：" + response.data().total());
System.out.println("当前页码：" + response.data().pageNum());
System.out.println("模板数量：" + response.data().records().size());
// 打印第一个模板的信息（如果存在）
if (!response.data().records().isEmpty()) {
XunFeiPptApi.TemplateInfo firstTemplate = response.data().records().get(0);
System.out.println("模板ID：" + firstTemplate.templateIndexId());
System.out.println("模板风格：" + firstTemplate.style());
System.out.println("模板颜色：" + firstTemplate.color());
System.out.println("模板行业：" + firstTemplate.industry());
}
}
}
/**
* 创建大纲（通过文本）
*/
@Test
@Disabled
public void testCreateOutline() {
XunFeiPptApi.CreateResponse response = getCreateResponse();
// 打印结果
System.out.println("创建大纲响应：" + JsonUtils.toJsonString(response));
// 保存 sid 和 outline 用于后续测试
if (response != null && response.data() != null) {
System.out.println("sid: " + response.data().sid());
if (response.data().outline() != null) {
// 使用 OutlineData 的 toJsonString 方法
System.out.println("outline: " + response.data().outline().toJsonString());
// 将 outline 对象转换为 JSON 字符串，用于后续 createPptByOutline 测试
String outlineJson = response.data().outline().toJsonString();
System.out.println("可用于 createPptByOutline 的 outline 字符串: " + outlineJson);
}
}
}
/**
* 创建大纲（通过文本）
*
* @return 创建大纲响应
*/
private XunFeiPptApi.CreateResponse getCreateResponse() {
String param = "智能体平台 Dify 介绍";
return xunfeiPptApi.createOutline(param);
}
/**
* 通过大纲创建 PPT（完整参数）
*/
@Test
@Disabled
public void testCreatePptByOutlineWithFullParams() {
// 创建大纲对象
XunFeiPptApi.CreateResponse createResponse = getCreateResponse();
// 调用方法
XunFeiPptApi.CreateResponse response = xunfeiPptApi.createPptByOutline(createResponse.data().outline(), "精简一些，不要超过6个章节");
// 打印结果
System.out.println("通过大纲创建 PPT 响应：" + JsonUtils.toJsonString(response));
// 保存sid用于后续进度查询
if (response != null && response.data() != null) {
System.out.println("sid: " + response.data().sid());
if (response.data().coverImgSrc() != null) {
System.out.println("封面图片: " + response.data().coverImgSrc());
}
}
}
/**
* 检查 PPT 生成进度
*/
@Test
@Disabled
public void testCheckProgress() {
// 准备参数 - 使用之前创建 PPT 时返回的 sid
String sid = "e96dac09f2ec4ee289f029a5fb874ecd"; // 替换为实际的sid
// 调用方法
XunFeiPptApi.ProgressResponse response = xunfeiPptApi.checkProgress(sid);
// 打印结果
System.out.println("检查进度响应：" + JsonUtils.toJsonString(response));
// 安全地访问响应数据
if (response != null && response.data() != null) {
XunFeiPptApi.ProgressResponseData data = response.data();
// 打印PPT生成状态
System.out.println("PPT 构建状态: " + data.pptStatus());
System.out.println("AI 配图状态: " + data.aiImageStatus());
System.out.println("演讲备注状态: " + data.cardNoteStatus());
// 打印进度信息
if (data.totalPages() != null && data.donePages() != null) {
System.out.println("总页数: " + data.totalPages());
System.out.println("已完成页数: " + data.donePages());
System.out.println("完成进度: " + data.getProgressPercent() + "%");
} else {
System.out.println("进度: " + data.process() + "%");
}
// 检查是否完成
if (data.isAllDone()) {
System.out.println("PPT 生成已完成!");
System.out.println("PPT 下载链接: " + data.pptUrl());
}
// 检查是否失败
else if (data.isFailed()) {
System.out.println("PPT 生成失败!");
System.out.println("错误信息: " + data.errMsg());
}
// 正在进行中
else {
System.out.println("PPT 生成中，请稍后再查询...");
}
}
}
/**
* 轮询检查 PPT 生成进度直到完成
*/
@Test
@Disabled
public void testPollCheckProgress() throws InterruptedException {
// 准备参数 - 使用之前创建 PP T时返回的 sid
String sid = "1690ef6ee0344e72b5c5434f403b8eaa"; // 替换为实际的sid
// 最大轮询次数
int maxPolls = 20;
// 轮询间隔（毫秒）- 讯飞 API 限流为 3 秒一次
long pollInterval = 3500;
for (int i = 0; i < maxPolls; i++) {
System.out.println("第" + (i + 1) + "次查询进度...");
// 调用方法
XunFeiPptApi.ProgressResponse response = xunfeiPptApi.checkProgress(sid);
// 安全地访问响应数据
if (response != null && response.data() != null) {
XunFeiPptApi.ProgressResponseData data = response.data();
// 打印进度信息
System.out.println("PPT 构建状态: " + data.pptStatus());
if (data.totalPages() != null && data.donePages() != null) {
System.out.println("完成进度: " + data.donePages() + "/" + data.totalPages()
+ " (" + data.getProgressPercent() + "%)");
}
// 检查是否完成
if (data.isAllDone()) {
System.out.println("PPT 生成已完成!");
System.out.println("PPT 下载链接: " + data.pptUrl());
break;
}
// 检查是否失败
else if (data.isFailed()) {
System.out.println("PPT 生成失败!");
System.out.println("错误信息: " + data.errMsg());
break;
}
// 正在进行中，继续轮询
else {
System.out.println("PPT 生成中，等待" + (pollInterval / 1000) + "秒后继续查询...");
Thread.sleep(pollInterval);
}
} else {
System.out.println("查询失败，等待" + (pollInterval / 1000) + "秒后重试...");
Thread.sleep(pollInterval);
}
}
}
/**
* 直接创建 PPT（通过文本）
*/
@Test
@Disabled
public void testCreatePptByText() {
// 准备参数
String query = "合肥天气趋势分析，包括近5年的气温变化、降水量变化、极端天气事件，以及对城市生活的影响";
// 调用方法
XunFeiPptApi.CreateResponse response = xunfeiPptApi.create(query);
// 打印结果
System.out.println("直接创建 PPT 响应：" + JsonUtils.toJsonString(response));
// 保存 sid 用于后续进度查询
if (response != null && response.data() != null) {
System.out.println("sid: " + response.data().sid());
if (response.data().coverImgSrc() != null) {
System.out.println("封面图片: " + response.data().coverImgSrc());
}
System.out.println("标题: " + response.data().title());
System.out.println("副标题: " + response.data().subTitle());
}
}
/**
* 直接创建 PPT（通过文件）
*/
@Test
@Disabled
public void testCreatePptByFile() {
// 准备参数
File file = new File("src/test/resources/test.txt"); // 请确保此文件存在
MultipartFile multipartFile = convertFileToMultipartFile(file);
// 调用方法
XunFeiPptApi.CreateResponse response = xunfeiPptApi.create(multipartFile, file.getName());
// 打印结果
System.out.println("通过文件创建PPT响应：" + JsonUtils.toJsonString(response));
// 保存 sid 用于后续进度查询
if (response != null && response.data() != null) {
System.out.println("sid: " + response.data().sid());
if (response.data().coverImgSrc() != null) {
System.out.println("封面图片: " + response.data().coverImgSrc());
}
System.out.println("标题: " + response.data().title());
System.out.println("副标题: " + response.data().subTitle());
}
}
/**
* 直接创建 PPT（完整参数）
*/
@Test
@Disabled
public void testCreatePptWithFullParams() {
// 准备参数
String query = "合肥天气趋势分析，包括近 5 年的气温变化、降水量变化、极端天气事件，以及对城市生活的影响";
// 创建请求对象
XunFeiPptApi.CreatePptRequest request = XunFeiPptApi.CreatePptRequest.builder()
.query(query)
.language("cn")
.isCardNote(true)
.search(true)
.isFigure(true)
.aiImage("advanced")
.author("测试用户")
.build();
// 调用方法
XunFeiPptApi.CreateResponse response = xunfeiPptApi.create(request);
// 打印结果
System.out.println("使用完整参数创建 PPT 响应：" + JsonUtils.toJsonString(response));
// 保存 sid 用于后续进度查询
if (response != null && response.data() != null) {
String sid = response.data().sid();
System.out.println("sid: " + sid);
if (response.data().coverImgSrc() != null) {
System.out.println("封面图片: " + response.data().coverImgSrc());
}
System.out.println("标题: " + response.data().title());
System.out.println("副标题: " + response.data().subTitle());
// 立即查询一次进度
System.out.println("立即查询进度...");
XunFeiPptApi.ProgressResponse progressResponse = xunfeiPptApi.checkProgress(sid);
if (progressResponse != null && progressResponse.data() != null) {
XunFeiPptApi.ProgressResponseData progressData = progressResponse.data();
System.out.println("PPT 构建状态: " + progressData.pptStatus());
if (progressData.totalPages() != null && progressData.donePages() != null) {
System.out.println("完成进度: " + progressData.donePages() + "/" + progressData.totalPages()
+ " (" + progressData.getProgressPercent() + "%)");
}
}
}
}
/**
* 将 File 转换为 MultipartFile
*/
private MultipartFile convertFileToMultipartFile(File file) {
return new MockMultipartFile("file", file.getName(), "text/plain", FileUtil.readBytes(file));
}
}

30
yanzhu-module-ai/src/test/java/com/yanzhu/module/ai/framework/ai/core/websearch/AiBoChaWebSearchClientTest.java
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@ -1,30 +0,0 @@
package com.yanzhu.module.ai.framework.ai.core.websearch;
import com.yanzhu.framework.common.util.json.JsonUtils;
import com.yanzhu.module.ai.framework.ai.core.webserch.AiWebSearchRequest;
import com.yanzhu.module.ai.framework.ai.core.webserch.AiWebSearchResponse;
import com.yanzhu.module.ai.framework.ai.core.webserch.bocha.AiBoChaWebSearchClient;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
/**
* {@link AiBoChaWebSearchClient} 集成测试类
*
* @author 研筑科技
*/
public class AiBoChaWebSearchClientTest {
private final AiBoChaWebSearchClient webSearchClient = new AiBoChaWebSearchClient(
"sk-40500e52840f4d24b956d0b1d80d9abe");
@Test
@Disabled
public void testSearch() {
AiWebSearchRequest request = new AiWebSearchRequest()
.setQuery("阿里巴巴")
.setCount(3);
AiWebSearchResponse response = webSearchClient.search(request);
System.out.println(JsonUtils.toJsonPrettyString(response));
}
}

2
yanzhu-module-system/src/main/java/com/yanzhu/module/system/dal/mysql/user/AdminUserMapper.java
View File

@ -3,6 +3,7 @@ package com.yanzhu.module.system.dal.mysql.user;
import com.yanzhu.framework.common.pojo.PageResult; import com.yanzhu.framework.common.pojo.PageResult;
import com.yanzhu.framework.mybatis.core.mapper.BaseMapperX; import com.yanzhu.framework.mybatis.core.mapper.BaseMapperX;
import com.yanzhu.framework.mybatis.core.query.LambdaQueryWrapperX; import com.yanzhu.framework.mybatis.core.query.LambdaQueryWrapperX;
import com.yanzhu.framework.tenant.core.aop.TenantIgnore;
import com.yanzhu.module.system.controller.admin.user.vo.user.UserPageReqVO; import com.yanzhu.module.system.controller.admin.user.vo.user.UserPageReqVO;
import com.yanzhu.module.system.dal.dataobject.user.AdminUserDO; import com.yanzhu.module.system.dal.dataobject.user.AdminUserDO;
import org.apache.ibatis.annotations.Mapper; import org.apache.ibatis.annotations.Mapper;
@ -13,6 +14,7 @@ import java.util.List;
@Mapper @Mapper
public interface AdminUserMapper extends BaseMapperX<AdminUserDO> { public interface AdminUserMapper extends BaseMapperX<AdminUserDO> {
@TenantIgnore
default AdminUserDO selectByUsername(String username) { default AdminUserDO selectByUsername(String username) {
return selectOne(AdminUserDO::getUsername, username); return selectOne(AdminUserDO::getUsername, username);
} }

4
yanzhu-server/pom.xml
View File

@ -103,11 +103,11 @@
</dependency> </dependency>
<!-- AI 大模型相关模块 --> <!-- AI 大模型相关模块 -->
<dependency> <!--<dependency>
<groupId>com.yanzhu</groupId> <groupId>com.yanzhu</groupId>
<artifactId>yanzhu-module-ai</artifactId> <artifactId>yanzhu-module-ai</artifactId>
<version>${revision}</version> <version>${revision}</version>
</dependency> </dependency>-->
<!-- IoT 物联网相关模块 --> <!-- IoT 物联网相关模块 -->
<!--<dependency> <!--<dependency>

2
yanzhu-ui/yanzhu-ui-admin-vue3/src/layout/components/ToolHeader.vue
View File

@ -77,7 +77,7 @@ export default defineComponent({
{size.value ? ( {size.value ? (
<SizeDropdown class="custom-hover" color="var(--top-header-text-color)"></SizeDropdown> <SizeDropdown class="custom-hover" color="var(--top-header-text-color)"></SizeDropdown>
) : undefined} ) : undefined}
{locale.value ? ( {locale.value&&false ? (
<LocaleDropdown <LocaleDropdown
class="custom-hover" class="custom-hover"
color="var(--top-header-text-color)" color="var(--top-header-text-color)"

9
yanzhu-ui/yanzhu-ui-admin-vue3/src/locales/en.ts
View File

@ -216,7 +216,14 @@ export default {
yield: 'Yield', yield: 'Yield',
dynamic: 'Dynamic', dynamic: 'Dynamic',
push: 'push', push: 'push',
follow: 'Follow' follow: 'Follow',
home: 'Home',
memberCenter: 'Member Center',
dataReport: 'Data Report',
workflow: 'Workflow',
mallCenter: 'Mall Center',
crmSystem: 'CRM System',
erpSystem: 'ERP System'
}, },
form: { form: {
input: 'Input', input: 'Input',

9
yanzhu-ui/yanzhu-ui-admin-vue3/src/locales/zh-CN.ts
View File

@ -218,7 +218,14 @@ export default {
yield: '产量', yield: '产量',
dynamic: '动态', dynamic: '动态',
push: '推送', push: '推送',
follow: '关注' follow: '关注',
home: '首页',
memberCenter: '会员中心',
dataReport: '数据报表',
workflow: '工作流',
mallCenter: '商城中心',
crmSystem: 'CRM 系统',
erpSystem: 'ERP 系统'
}, },
form: { form: {
input: '输入框', input: '输入框',

94
yanzhu-ui/yanzhu-ui-admin-vue3/src/views/Home/Index.vue
View File

@ -19,7 +19,7 @@
</div> </div>
</el-col> </el-col>
<el-col :xl="12" :lg="12" :md="12" :sm="24" :xs="24"> <el-col :xl="12" :lg="12" :md="12" :sm="24" :xs="24">
<div class="h-70px flex items-center justify-end lt-sm:mt-10px"> <div class="h-70px flex items-center justify-end lt-sm:mt-10px hidden">
<div class="px-8px text-right"> <div class="px-8px text-right">
<div class="mb-16px text-14px text-gray-400">{{ t('workplace.project') }}</div> <div class="mb-16px text-14px text-gray-400">{{ t('workplace.project') }}</div>
<CountTo <CountTo
@ -57,7 +57,7 @@
</div> </div>
<el-row class="mt-8px" :gutter="8" justify="space-between"> <el-row class="mt-8px" :gutter="8" justify="space-between">
<el-col :xl="16" :lg="16" :md="24" :sm="24" :xs="24" class="mb-8px"> <el-col :xl="16" :lg="16" :md="24" :sm="24" :xs="24" class="mb-8px">
<el-card shadow="never"> <el-card shadow="never" v-if="1==2">
<template #header> <template #header>
<div class="h-3 flex justify-between"> <div class="h-3 flex justify-between">
<span>{{ t('workplace.project') }}</span> <span>{{ t('workplace.project') }}</span>
@ -71,7 +71,7 @@
</el-link> </el-link>
</div> </div>
</template> </template>
<el-skeleton :loading="loading" animated> <el-skeleton :loading="loading" animated >
<el-row> <el-row>
<el-col <el-col
v-for="(item, index) in projects" v-for="(item, index) in projects"
@ -183,6 +183,8 @@ import { set } from 'lodash-es'
import { EChartsOption } from 'echarts' import { EChartsOption } from 'echarts'
import { formatTime } from '@/utils' import { formatTime } from '@/utils'
import { useUserStore } from '@/store/modules/user' import { useUserStore } from '@/store/modules/user'
import { usePermissionStore } from '@/store/modules/permission'
import { CACHE_KEY, useCache } from '@/hooks/web/useCache'
// import { useWatermark } from '@/hooks/web/useWatermark' // import { useWatermark } from '@/hooks/web/useWatermark'
import type { WorkplaceTotal, Project, Notice, Shortcut } from './types' import type { WorkplaceTotal, Project, Notice, Shortcut } from './types'
import { pieOptions, barOptions } from './echarts-data' import { pieOptions, barOptions } from './echarts-data'
@ -191,6 +193,7 @@ defineOptions({ name: 'Index' })
const { t } = useI18n() const { t } = useI18n()
const router = useRouter() const router = useRouter()
const userStore = useUserStore() const userStore = useUserStore()
const permissionStore = usePermissionStore()
// const { setWatermark } = useWatermark() // const { setWatermark } = useWatermark()
const loading = ref(true) const loading = ref(true)
const avatar = userStore.getUser.avatar const avatar = userStore.getUser.avatar
@ -299,44 +302,83 @@ const getNotice = async () => {
// 获取快捷入口 // 获取快捷入口
let shortcut = reactive<Shortcut[]>([]) let shortcut = reactive<Shortcut[]>([])
const getShortcut = async () => { const getShortcut = async () => {
const data = [ const allShortcuts = [
{ {
name: '首页', name: t('workplace.home'),
icon: 'ion:home-outline', icon: 'ion:home-outline',
url: '/', url: '/',
color: '#1fdaca' color: '#1fdaca',
module: 'home'
}, },
{ {
name: '商城中心', name: t('workplace.memberCenter'),
icon: 'ep:user',
url: '/member/user',
color: '#409eff',
module: 'member'
},
{
name: t('workplace.dataReport'),
icon: 'ep:data-analysis',
url: '/report/home',
color: '#67c23a',
module: 'report'
},
{
name: t('workplace.workflow'),
icon: 'ep:connection',
url: '/bpm/definition',
color: '#e6a23c',
module: 'bpm'
},
{
name: t('workplace.mallCenter'),
icon: 'ep:shop', icon: 'ep:shop',
url: '/mall/home', url: '/mall/home',
color: '#ff6b6b' color: '#ff6b6b',
module: 'mall'
}, },
{ {
name: 'AI 大模型', name: t('workplace.crmSystem'),
icon: 'tabler:ai',
url: '/ai/chat',
color: '#7c3aed'
},
{
name: 'ERP 系统',
icon: 'simple-icons:erpnext',
url: '/erp/home',
color: '#3fb27f'
},
{
name: 'CRM 系统',
icon: 'simple-icons:civicrm', icon: 'simple-icons:civicrm',
url: '/crm/backlog', url: '/crm/backlog',
color: '#4daf1bc9' color: '#4daf1bc9',
module: 'crm'
}, },
{ {
name: 'IoT 物联网', name: t('workplace.erpSystem'),
icon: 'fa-solid:hdd', icon: 'simple-icons:erpnext',
url: '/iot/home', url: '/erp/home',
color: '#1a73e8' color: '#3fb27f',
module: 'erp'
} }
] ]
const { wsCache } = useCache()
const userInfo = wsCache.get(CACHE_KEY.USER)
const menus = userInfo?.menus || []
const hasPermission = (module: string) => {
if (module === 'home') return true
const checkMenu = (menuList: any[]): boolean => {
for (const menu of menuList) {
if (menu.path && menu.path.startsWith(`/${module}`)) {
return true
}
if (menu.children && menu.children.length > 0) {
if (checkMenu(menu.children)) {
return true
}
}
}
return false
}
return checkMenu(menus)
}
const data = allShortcuts.filter(item => hasPermission(item.module))
shortcut = Object.assign(shortcut, data) shortcut = Object.assign(shortcut, data)
} }
// 用户来源 // 用户来源

1
yanzhu-ui/yanzhu-ui-admin-vue3/src/views/Home/types.ts
View File

@ -25,6 +25,7 @@ export type Shortcut = {
icon: string icon: string
url: string url: string
color: string color: string
module: string
} }
export type RadarData = { export type RadarData = {