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ruoyi-vue-pro1
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Merge branch 'refs/heads/up-master-jdk21-ai' into master-jdk21-ai 

# Conflicts:
#	yudao-module-ai/yudao-module-ai-api/src/main/java/cn/iocoder/yudao/module/ai/enums/ErrorCodeConstants.java
#	yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/knowledge/DocServiceImpl.java
This commit is contained in:
xiaoxin 2024-08-15 16:00:56 +08:00
parent 8e54eef8af 83d86bcf9b
commit d3a4c3c718
18 changed files with 273 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
yudao-module-ai/pom.xml
View File

@ -18,7 +18,7 @@
<name>${project.artifactId}</name>
<description>
ai 模块下，接入 LLM 大模型，支持聊天、绘图、音乐、写作、思维脑图等功能。
ai 模块下，接入 LLM 大模型，支持聊天、绘图、音乐、写作、思维导图等功能。
目前已接入各种模型，不限于：
国内：通义千问、文心一言、讯飞星火、智谱 GLM、DeepSeek
国外：OpenAI、Ollama、Midjourney、StableDiffusion、Suno

2
yudao-module-ai/yudao-module-ai-api/src/main/java/cn/iocoder/yudao/module/ai/enums/AiChatRoleEnum.java
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@ -22,7 +22,7 @@ public enum AiChatRoleEnum implements IntArrayValuable {
除此之外不需要除了正文内容外的其他回复，如标题、开头、任何解释性语句或道歉。
"""),
AI_MIND_MAP_ROLE(2, "脑图助手", """
AI_MIND_MAP_ROLE(2, "导图助手", """
你是一位非常优秀的思维导图助手，你会把用户的所有提问都总结成思维导图，然后以 Markdown 格式输出。markdown 只需要输出一级标题，二级标题，三级标题，四级标题，最多输出四级，除此之外不要输出任何其他 markdown 标记。下面是一个合格的例子：
# Geek-AI 助手
## 完整的开源系统

4
yudao-module-ai/yudao-module-ai-api/src/main/java/cn/iocoder/yudao/module/ai/enums/ErrorCodeConstants.java
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@ -45,11 +45,13 @@ public interface ErrorCodeConstants {
// ========== API 音乐 1-040-006-000 ==========
ErrorCode MUSIC_NOT_EXISTS = new ErrorCode(1_022_006_000, "音乐不存在!");
// ========== API 写作 1-022-007-000 ==========
ErrorCode WRITE_NOT_EXISTS = new ErrorCode(1_022_007_000, "作文不存在!");
ErrorCode WRITE_STREAM_ERROR = new ErrorCode(1_022_07_001, "写作生成异常!");
// ========== API 思维导图 1-040-008-000 ==========
ErrorCode MIND_MAP_NOT_EXISTS = new ErrorCode(1_040_008_000, "思维导图不存在!");
// ========== API 知识库 1-022-008-000 ==========
ErrorCode KNOWLEDGE_NOT_EXISTS = new ErrorCode(1_022_008_000, "知识库不存在!");

2
yudao-module-ai/yudao-module-ai-biz/pom.xml
View File

@ -12,7 +12,7 @@
<name>${project.artifactId}</name>
<description>
ai 模块下，接入 LLM 大模型，支持聊天、绘图、音乐、写作、思维脑图等功能。
ai 模块下，接入 LLM 大模型，支持聊天、绘图、音乐、写作、思维导图等功能。
目前已接入各种模型，不限于：
国内：通义千问、文心一言、讯飞星火、智谱 GLM、DeepSeek
国外：OpenAI、Ollama、Midjourney、StableDiffusion、Suno

34
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/controller/admin/mindmap/AiMindMapController.java
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@ -1,20 +1,25 @@
package cn.iocoder.yudao.module.ai.controller.admin.mindmap;
import cn.iocoder.yudao.framework.common.pojo.CommonResult;
import cn.iocoder.yudao.framework.common.pojo.PageResult;
import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapGenerateReqVO;
import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapPageReqVO;
import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapRespVO;
import cn.iocoder.yudao.module.ai.dal.dataobject.mindmap.AiMindMapDO;
import cn.iocoder.yudao.module.ai.service.mindmap.AiMindMapService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.Parameter;
import io.swagger.v3.oas.annotations.tags.Tag;
import jakarta.annotation.Resource;
import jakarta.annotation.security.PermitAll;
import jakarta.validation.Valid;
import org.springframework.http.MediaType;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.security.access.prepost.PreAuthorize;
import org.springframework.web.bind.annotation.*;
import reactor.core.publisher.Flux;
import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
import static cn.iocoder.yudao.framework.security.core.util.SecurityFrameworkUtils.getLoginUserId;
@Tag(name = "管理后台 - AI 思维导图")
@ -26,10 +31,29 @@ public class AiMindMapController {
private AiMindMapService mindMapService;
@PostMapping(value = "/generate-stream", produces = MediaType.TEXT_EVENT_STREAM_VALUE)
@Operation(summary = "脑图生成（流式）", description = "流式返回，响应较快")
@Operation(summary = "导图生成（流式）", description = "流式返回，响应较快")
@PermitAll // 解决 SSE 最终响应的时候，会被 Access Denied 拦截的问题
public Flux<CommonResult<String>> generateMindMap(@RequestBody @Valid AiMindMapGenerateReqVO generateReqVO) {
return mindMapService.generateMindMap(generateReqVO, getLoginUserId());
}
// ================ 导图管理 ================
@DeleteMapping("/delete")
@Operation(summary = "删除思维导图")
@Parameter(name = "id", description = "编号", required = true)
@PreAuthorize("@ss.hasPermission('ai:mind-map:delete')")
public CommonResult<Boolean> deleteMindMap(@RequestParam("id") Long id) {
mindMapService.deleteMindMap(id);
return success(true);
}
@GetMapping("/page")
@Operation(summary = "获得思维导图分页")
@PreAuthorize("@ss.hasPermission('ai:mind-map:query')")
public CommonResult<PageResult<AiMindMapRespVO>> getMindMapPage(@Valid AiMindMapPageReqVO pageReqVO) {
PageResult<AiMindMapDO> pageResult = mindMapService.getMindMapPage(pageReqVO);
return success(BeanUtils.toBean(pageResult, AiMindMapRespVO.class));
}
}

30
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/controller/admin/mindmap/vo/AiMindMapPageReqVO.java Normal file
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@ -0,0 +1,30 @@
package cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo;
import cn.iocoder.yudao.framework.common.pojo.PageParam;
import io.swagger.v3.oas.annotations.media.Schema;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.ToString;
import org.springframework.format.annotation.DateTimeFormat;
import java.time.LocalDateTime;
import static cn.iocoder.yudao.framework.common.util.date.DateUtils.FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND;
@Schema(description = "管理后台 - AI 思维导图分页 Request VO")
@Data
@EqualsAndHashCode(callSuper = true)
@ToString(callSuper = true)
public class AiMindMapPageReqVO extends PageParam {
@Schema(description = "用户编号", example = "4325")
private Long userId;
@Schema(description = "生成内容提示", example = "Java 学习路线")
private String prompt;
@Schema(description = "创建时间")
@DateTimeFormat(pattern = FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND)
private LocalDateTime[] createTime;
}

36
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/controller/admin/mindmap/vo/AiMindMapRespVO.java Normal file
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@ -0,0 +1,36 @@
package cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo;
import io.swagger.v3.oas.annotations.media.Schema;
import lombok.Data;
import java.time.LocalDateTime;
@Schema(description = "管理后台 - AI 思维导图 Response VO")
@Data
public class AiMindMapRespVO {
@Schema(description = "编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "3373")
private Long id;
@Schema(description = "用户编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "4325")
private Long userId;
@Schema(description = "生成内容提示", requiredMode = Schema.RequiredMode.REQUIRED, example = "Java 学习路线")
private String prompt;
@Schema(description = "生成的思维导图内容")
private String generatedContent;
@Schema(description = "平台", requiredMode = Schema.RequiredMode.REQUIRED, example = "OpenAI")
private String platform;
@Schema(description = "模型", requiredMode = Schema.RequiredMode.REQUIRED, example = "gpt-3.5-turbo-0125")
private String model;
@Schema(description = "错误信息")
private String errorMessage;
@Schema(description = "创建时间", requiredMode = Schema.RequiredMode.REQUIRED)
private LocalDateTime createTime;
}

12
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/dal/mysql/mindmap/AiMindMapMapper.java
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@ -1,6 +1,9 @@
package cn.iocoder.yudao.module.ai.dal.mysql.mindmap;
import cn.iocoder.yudao.framework.common.pojo.PageResult;
import cn.iocoder.yudao.framework.mybatis.core.mapper.BaseMapperX;
import cn.iocoder.yudao.framework.mybatis.core.query.LambdaQueryWrapperX;
import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapPageReqVO;
import cn.iocoder.yudao.module.ai.dal.dataobject.mindmap.AiMindMapDO;
import org.apache.ibatis.annotations.Mapper;
@ -11,4 +14,13 @@ import org.apache.ibatis.annotations.Mapper;
*/
@Mapper
public interface AiMindMapMapper extends BaseMapperX<AiMindMapDO> {
default PageResult<AiMindMapDO> selectPage(AiMindMapPageReqVO reqVO) {
return selectPage(reqVO, new LambdaQueryWrapperX<AiMindMapDO>()
.eqIfPresent(AiMindMapDO::getUserId, reqVO.getUserId())
.eqIfPresent(AiMindMapDO::getPrompt, reqVO.getPrompt())
.betweenIfPresent(AiMindMapDO::getCreateTime, reqVO.getCreateTime())
.orderByDesc(AiMindMapDO::getId));
}
}

18
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/mindmap/AiMindMapService.java
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@ -1,7 +1,10 @@
package cn.iocoder.yudao.module.ai.service.mindmap;
import cn.iocoder.yudao.framework.common.pojo.CommonResult;
import cn.iocoder.yudao.framework.common.pojo.PageResult;
import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapGenerateReqVO;
import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapPageReqVO;
import cn.iocoder.yudao.module.ai.dal.dataobject.mindmap.AiMindMapDO;
import reactor.core.publisher.Flux;
/**
@ -20,4 +23,19 @@ public interface AiMindMapService {
*/
Flux<CommonResult<String>> generateMindMap(AiMindMapGenerateReqVO generateReqVO, Long userId);
/**
* 删除思维导图
*
* @param id 编号
*/
void deleteMindMap(Long id);
/**
* 获得思维导图分页
*
* @param pageReqVO 分页查询
* @return 思维导图分页
*/
PageResult<AiMindMapDO> getMindMapPage(AiMindMapPageReqVO pageReqVO);
}

27
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/mindmap/AiMindMapServiceImpl.java
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@ -6,9 +6,11 @@ import cn.hutool.core.util.StrUtil;
import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
import cn.iocoder.yudao.framework.ai.core.util.AiUtils;
import cn.iocoder.yudao.framework.common.pojo.CommonResult;
import cn.iocoder.yudao.framework.common.pojo.PageResult;
import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
import cn.iocoder.yudao.framework.tenant.core.util.TenantUtils;
import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapGenerateReqVO;
import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapPageReqVO;
import cn.iocoder.yudao.module.ai.dal.dataobject.mindmap.AiMindMapDO;
import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatModelDO;
import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatRoleDO;
@ -33,8 +35,10 @@ import reactor.core.publisher.Flux;
import java.util.ArrayList;
import java.util.List;
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
import static cn.iocoder.yudao.framework.common.pojo.CommonResult.error;
import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.MIND_MAP_NOT_EXISTS;
/**
* AI 思维导图 Service 实现类
@ -57,10 +61,10 @@ public class AiMindMapServiceImpl implements AiMindMapService {
@Override
public Flux<CommonResult<String>> generateMindMap(AiMindMapGenerateReqVO generateReqVO, Long userId) {
// 1. 获取脑图模型。尝试获取思维导图助手角色，如果没有则使用默认模型
// 1. 获取导图模型。尝试获取思维导图助手角色，如果没有则使用默认模型
AiChatRoleDO role = CollUtil.getFirst(
chatRoleService.getChatRoleListByName(AiChatRoleEnum.AI_MIND_MAP_ROLE.getName()));
// 1.1 获取脑图执行模型
// 1.1 获取导图执行模型
AiChatModelDO model = getModel(role);
// 1.2 获取角色设定消息
String systemMessage = role != null && StrUtil.isNotBlank(role.getSystemMessage())
@ -131,4 +135,23 @@ public class AiMindMapServiceImpl implements AiMindMapService {
return model;
}
@Override
public void deleteMindMap(Long id) {
// 校验存在
validateMindMapExists(id);
// 删除
mindMapMapper.deleteById(id);
}
private void validateMindMapExists(Long id) {
if (mindMapMapper.selectById(id) == null) {
throw exception(MIND_MAP_NOT_EXISTS);
}
}
@Override
public PageResult<AiMindMapDO> getMindMapPage(AiMindMapPageReqVO pageReqVO) {
return mindMapMapper.selectPage(pageReqVO);
}
}

6
yudao-module-ai/yudao-spring-boot-starter-ai/pom.xml
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@ -23,12 +23,16 @@
<artifactId>spring-ai-zhipuai-spring-boot-starter</artifactId>
<version>${spring-ai.version}</version>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-openai-spring-boot-starter</artifactId>
<version>${spring-ai.version}</version>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-azure-openai-spring-boot-starter</artifactId>
<version>${spring-ai.version}</version>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-ollama-spring-boot-starter</artifactId>

7
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/config/YudaoAiAutoConfiguration.java
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@ -12,6 +12,7 @@ import com.alibaba.cloud.ai.tongyi.TongYiAutoConfiguration;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.autoconfigure.vectorstore.redis.RedisVectorStoreProperties;
import org.springframework.ai.document.MetadataMode;
import org.springframework.ai.embedding.EmbeddingModel;
import org.springframework.ai.transformer.splitter.TokenTextSplitter;
import org.springframework.ai.transformers.TransformersEmbeddingModel;
import org.springframework.ai.vectorstore.RedisVectorStore;
@ -21,6 +22,7 @@ import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Import;
import org.springframework.context.annotation.Lazy;
import redis.clients.jedis.JedisPooled;
/**
@ -82,7 +84,8 @@ public class YudaoAiAutoConfiguration {
// ========== rag 相关 ==========
@Bean
public TransformersEmbeddingModel transformersEmbeddingClient() {
@Lazy // TODO 芋艿：临时注释，避免无法启动
public EmbeddingModel transformersEmbeddingClient() {
return new TransformersEmbeddingModel(MetadataMode.EMBED);
}
@ -90,6 +93,7 @@ public class YudaoAiAutoConfiguration {
* 我们启动有加载很多 Embedding 模型，不晓得取哪个好，先 new 个 TransformersEmbeddingModel 跑
*/
@Bean
@Lazy // TODO 芋艿：临时注释，避免无法启动
public RedisVectorStore vectorStore(TransformersEmbeddingModel transformersEmbeddingModel, RedisVectorStoreProperties properties,
RedisProperties redisProperties) {
var config = RedisVectorStore.RedisVectorStoreConfig.builder()
@ -105,6 +109,7 @@ public class YudaoAiAutoConfiguration {
}
@Bean
@Lazy // TODO 芋艿：临时注释，避免无法启动
public TokenTextSplitter tokenTextSplitter() {
return new TokenTextSplitter(500, 100, 5, 10000, true);
}

3
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/enums/AiPlatformEnum.java
View File

@ -22,7 +22,8 @@ public enum AiPlatformEnum {
// ========== 国外平台 ==========
OPENAI("OpenAI", "OpenAI"),
OPENAI("OpenAI", "OpenAI"), // OpenAI 官方
AZURE_OPENAI("AzureOpenAI", "AzureOpenAI"), // OpenAI 微软
OLLAMA("Ollama", "Ollama"),
STABLE_DIFFUSION("StableDiffusion", "StableDiffusion"), // Stability AI

24
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/factory/AiModelFactoryImpl.java
View File

@ -21,6 +21,10 @@ import com.alibaba.cloud.ai.tongyi.image.TongYiImagesModel;
import com.alibaba.cloud.ai.tongyi.image.TongYiImagesProperties;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesis;
import com.azure.ai.openai.OpenAIClient;
import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiAutoConfiguration;
import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiChatProperties;
import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiConnectionProperties;
import org.springframework.ai.autoconfigure.ollama.OllamaAutoConfiguration;
import org.springframework.ai.autoconfigure.openai.OpenAiAutoConfiguration;
import org.springframework.ai.autoconfigure.qianfan.QianFanAutoConfiguration;
@ -31,6 +35,7 @@ import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiAutoConfiguration;
import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiChatProperties;
import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiConnectionProperties;
import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiImageProperties;
import org.springframework.ai.azure.openai.AzureOpenAiChatModel;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.image.ImageModel;
import org.springframework.ai.model.function.FunctionCallbackContext;
@ -82,6 +87,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
return buildXingHuoChatModel(apiKey);
case OPENAI:
return buildOpenAiChatModel(apiKey, url);
case AZURE_OPENAI:
return buildAzureOpenAiChatModel(apiKey, url);
case OLLAMA:
return buildOllamaChatModel(url);
default:
@ -106,6 +113,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
return SpringUtil.getBean(XingHuoChatModel.class);
case OPENAI:
return SpringUtil.getBean(OpenAiChatModel.class);
case AZURE_OPENAI:
return SpringUtil.getBean(AzureOpenAiChatModel.class);
case OLLAMA:
return SpringUtil.getBean(OllamaChatModel.class);
default:
@ -268,6 +277,21 @@ public class AiModelFactoryImpl implements AiModelFactory {
return new OpenAiChatModel(openAiApi);
}
/**
* 可参考 {@link AzureOpenAiAutoConfiguration}
*/
private static AzureOpenAiChatModel buildAzureOpenAiChatModel(String apiKey, String url) {
AzureOpenAiAutoConfiguration azureOpenAiAutoConfiguration = new AzureOpenAiAutoConfiguration();
// 创建 OpenAIClient 对象
AzureOpenAiConnectionProperties connectionProperties = new AzureOpenAiConnectionProperties();
connectionProperties.setApiKey(apiKey);
connectionProperties.setEndpoint(url);
OpenAIClient openAIClient = azureOpenAiAutoConfiguration.openAIClient(connectionProperties);
// 获取 AzureOpenAiChatProperties 对象
AzureOpenAiChatProperties chatProperties = SpringUtil.getBean(AzureOpenAiChatProperties.class);
return azureOpenAiAutoConfiguration.azureOpenAiChatModel(openAIClient, chatProperties, null, null);
}
/**
* 可参考 {@link OpenAiAutoConfiguration}
*/

4
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/util/AiUtils.java
View File

@ -5,6 +5,7 @@ import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
import cn.iocoder.yudao.framework.ai.core.model.deepseek.DeepSeekChatOptions;
import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoChatOptions;
import com.alibaba.cloud.ai.tongyi.chat.TongYiChatOptions;
import org.springframework.ai.azure.openai.AzureOpenAiChatOptions;
import org.springframework.ai.chat.messages.*;
import org.springframework.ai.chat.prompt.ChatOptions;
import org.springframework.ai.ollama.api.OllamaOptions;
@ -35,6 +36,9 @@ public class AiUtils {
return XingHuoChatOptions.builder().model(model).temperature(temperatureF).maxTokens(maxTokens).build();
case OPENAI:
return OpenAiChatOptions.builder().withModel(model).withTemperature(temperatureF).withMaxTokens(maxTokens).build();
case AZURE_OPENAI:
// TODO 芋艿：貌似没 model 字段？？？！
return AzureOpenAiChatOptions.builder().withDeploymentName(model).withTemperature(temperatureF).withMaxTokens(maxTokens).build();
case OLLAMA:
return OllamaOptions.create().withModel(model).withTemperature(temperatureF).withNumPredict(maxTokens);
default:

70
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/AzureOpenAIChatModelTests.java Normal file
View File

@ -0,0 +1,70 @@
package cn.iocoder.yudao.framework.ai.chat;
import com.azure.ai.openai.OpenAIClient;
import com.azure.ai.openai.OpenAIClientBuilder;
import com.azure.core.credential.AzureKeyCredential;
import com.azure.core.util.ClientOptions;
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.autoconfigure.azure.openai.AzureOpenAiChatProperties.DEFAULT_DEPLOYMENT_NAME;
/**
* {@link AzureOpenAiChatModel} 集成测试
*
* @author 芋道源码
*/
public class AzureOpenAIChatModelTests {
private final OpenAIClient openAiApi = (new OpenAIClientBuilder())
.endpoint("https://eastusprejade.openai.azure.com")
.credential(new AzureKeyCredential("xxx"))
.clientOptions((new ClientOptions()).setApplicationId("spring-ai"))
.buildClient();
private final AzureOpenAiChatModel chatModel = new AzureOpenAiChatModel(openAiApi,
AzureOpenAiChatOptions.builder().withDeploymentName(DEFAULT_DEPLOYMENT_NAME).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();
}
}

3
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/OpenAIChatModelTests.java
View File

@ -1,6 +1,5 @@
package cn.iocoder.yudao.framework.ai.chat;
import cn.iocoder.yudao.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;
@ -17,7 +16,7 @@ import java.util.ArrayList;
import java.util.List;
/**
* {@link XingHuoChatModel} 集成测试
* {@link OpenAiChatModel} 集成测试
*
* @author 芋道源码
*/

6
yudao-server/src/main/resources/application.yaml
View File

@ -162,9 +162,13 @@ spring:
secret-key: R9mYF9dl9KASgi5RUq0FQt3wRisSnOcK
zhipuai: # 智谱 AI
api-key: 32f84543e54eee31f8d56b2bd6020573.3vh9idLJZ2ZhxDEs
openai:
openai: # OpenAI 官方
api-key: sk-yzKea6d8e8212c3bdd99f9f44ced1cae37c097e5aa3BTS7z
base-url: https://api.gptsapi.net
azure: # OpenAI 微软
openai:
endpoint: https://eastusprejade.openai.azure.com
api-key: xxx
ollama:
base-url: http://127.0.0.1:11434
chat: