【增加】AI 写作:支持撰写
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@ -42,4 +42,9 @@ public interface ErrorCodeConstants {
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// ========== API 音乐 1-040-006-000 ==========
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ErrorCode MUSIC_NOT_EXISTS = new ErrorCode(1_022_006_000, "音乐不存在!");
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// ========== API 写作 1-022-007-000 ==========
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ErrorCode WRITE_NOT_EXISTS = new ErrorCode(1_022_007_000, "作文不存在!");
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ErrorCode WRITE_STREAM_ERROR = new ErrorCode(1_022_07_001, "Stream 对话异常!");
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}
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@ -7,7 +7,7 @@ import lombok.Getter;
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import java.util.Arrays;
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/**
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* AI 音乐状态的枚举
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* AI 音乐生成模式的枚举
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*
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* @author xiaoxin
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*/
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@ -0,0 +1,37 @@
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package cn.iocoder.yudao.module.ai.enums.write;
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import cn.iocoder.yudao.framework.common.core.IntArrayValuable;
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import lombok.AllArgsConstructor;
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import lombok.Getter;
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import java.util.Arrays;
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/**
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* AI 写作类型的枚举
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*
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* @author xiaoxin
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*/
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@AllArgsConstructor
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@Getter
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public enum AiWriteTypeEnum implements IntArrayValuable {
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DESCRIPTION(1, "撰写"),
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LYRIC(2, "回复");
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/**
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* 类型
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*/
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private final Integer type;
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/**
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* 类型名
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*/
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private final String name;
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public static final int[] ARRAYS = Arrays.stream(values()).mapToInt(AiWriteTypeEnum::getType).toArray();
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@Override
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public int[] array() {
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return ARRAYS;
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}
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}
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@ -15,6 +15,8 @@ import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RestController;
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import reactor.core.publisher.Flux;
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import static cn.iocoder.yudao.framework.security.core.util.SecurityFrameworkUtils.getLoginUserId;
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@Tag(name = "管理后台 - AI 写作")
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@RestController
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@RequestMapping("/ai/write")
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@ -27,6 +29,6 @@ public class AiWriteController {
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@PermitAll
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@Operation(summary = "写作生成(流式)", description = "流式返回,响应较快")
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public Flux<CommonResult<String>> generateComposition(@RequestBody @Valid AiWriteGenerateReqVO generateReqVO) {
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return writeService.generateComposition(generateReqVO);
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return writeService.generateWriteContent(generateReqVO, getLoginUserId());
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}
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}
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@ -8,14 +8,14 @@ import lombok.Data;
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@Data
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public class AiWriteGenerateReqVO {
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@Schema(description = "写作内容", requiredMode = Schema.RequiredMode.NOT_REQUIRED, example = "田忌赛马")
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private String content;
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@Schema(description = "写作内容提示", requiredMode = Schema.RequiredMode.NOT_REQUIRED, example = "田忌赛马")
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private String contentPrompt;
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@Schema(description = "原文", requiredMode = Schema.RequiredMode.NOT_REQUIRED, example = "领导我要辞职")
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private String originalContent;
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@Schema(description = "回复内容", requiredMode = Schema.RequiredMode.NOT_REQUIRED, example = "准了")
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private String replyContent;
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private String replyContentPrompt;
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@Schema(description = "长度", requiredMode = Schema.RequiredMode.REQUIRED, example = "中等")
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@NotBlank(message = "长度不能为空")
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@ -35,5 +35,5 @@ public class AiWriteGenerateReqVO {
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@Schema(description = "写作类型", requiredMode = Schema.RequiredMode.REQUIRED, example = "1")
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private Integer writeType;
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private Integer writeType; //参见 AiWriteTypeEnum 枚举
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}
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@ -0,0 +1,97 @@
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package cn.iocoder.yudao.module.ai.dal.dataobject.write;
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import cn.iocoder.yudao.framework.mybatis.core.dataobject.BaseDO;
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import com.baomidou.mybatisplus.annotation.IdType;
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import com.baomidou.mybatisplus.annotation.TableId;
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import com.baomidou.mybatisplus.annotation.TableName;
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import lombok.Data;
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import cn.iocoder.yudao.module.ai.enums.write.AiWriteTypeEnum;
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/**
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* AI 写作 DO
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*
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* @author xiaoxin
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*/
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@TableName(value = "ai_write", autoResultMap = true)
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@Data
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public class AiWriteDO extends BaseDO {
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/**
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* 编号
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*/
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@TableId(type = IdType.AUTO)
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private Long id;
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/**
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* 用户编号
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*/
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private Long userId;
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/**
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* 写作类型
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* <p>
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* 枚举 {@link AiWriteTypeEnum}
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*/
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private Integer writeType;
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/**
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* 撰写内容提示
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*/
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private String contentPrompt;
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/**
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* 生成的撰写内容
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*/
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private String generatedContent;
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/**
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* 原文
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*/
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private String originalContent;
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/**
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* 回复内容提示
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*/
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private String replyContentPrompt;
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/**
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* 生成的回复内容
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*/
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private String generatedReplyContent;
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/**
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* 长度提示词
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*/
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private String length;
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/**
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* 格式提示词
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*/
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private String format;
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/**
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* 语气提示词
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*/
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private String tone;
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/**
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* 语言提示词
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*/
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private String language;
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/**
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* 模型
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*/
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private String model;
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/**
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* 平台
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*/
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private String platform;
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/**
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* 错误信息
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*/
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private String errorMessage;
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}
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@ -0,0 +1,14 @@
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package cn.iocoder.yudao.module.ai.dal.mysql.write;
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import cn.iocoder.yudao.framework.mybatis.core.mapper.BaseMapperX;
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import cn.iocoder.yudao.module.ai.dal.dataobject.write.AiWriteDO;
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import org.apache.ibatis.annotations.Mapper;
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/**
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* AI 音乐 Mapper
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*
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* @author xiaoxin
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*/
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@Mapper
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public interface AiWriteMapper extends BaseMapperX<AiWriteDO> {
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}
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@ -12,7 +12,14 @@ import reactor.core.publisher.Flux;
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public interface AiWriteService {
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Flux<CommonResult<String>> generateComposition(AiWriteGenerateReqVO generateReqVO);
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/**
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* 生成写作内容
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*
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* @param generateReqVO 作文生成请求参数
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* @param userId 用户编号
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* @return 生成结果
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*/
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Flux<CommonResult<String>> generateWriteContent(AiWriteGenerateReqVO generateReqVO, Long userId);
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}
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@ -2,22 +2,27 @@ package cn.iocoder.yudao.module.ai.service.write;
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import cn.hutool.core.util.StrUtil;
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import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
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import cn.iocoder.yudao.framework.ai.core.model.tongyi.QianWenOptions;
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import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoChatModel;
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import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoOptions;
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import cn.iocoder.yudao.framework.ai.core.model.yiyan.YiYanChatOptions;
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import cn.iocoder.yudao.framework.common.pojo.CommonResult;
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import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
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import cn.iocoder.yudao.module.ai.controller.admin.write.vo.AiWriteGenerateReqVO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatModelDO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.write.AiWriteDO;
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import cn.iocoder.yudao.module.ai.dal.mysql.write.AiWriteMapper;
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import cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants;
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import cn.iocoder.yudao.module.ai.service.model.AiApiKeyService;
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import cn.iocoder.yudao.module.ai.service.model.AiChatModelService;
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import com.alibaba.cloud.ai.tongyi.chat.TongYiChatOptions;
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import jakarta.annotation.Resource;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.ai.chat.ChatResponse;
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import org.springframework.ai.chat.StreamingChatClient;
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import org.springframework.ai.chat.model.ChatResponse;
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import org.springframework.ai.chat.model.StreamingChatModel;
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import org.springframework.ai.chat.prompt.ChatOptions;
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import org.springframework.ai.chat.prompt.Prompt;
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import org.springframework.ai.ollama.api.OllamaOptions;
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import org.springframework.ai.openai.OpenAiChatOptions;
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import org.springframework.ai.qianfan.QianFanChatOptions;
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import org.springframework.stereotype.Service;
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import reactor.core.publisher.Flux;
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@ -35,16 +40,29 @@ public class AiWriteServiceImpl implements AiWriteService {
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@Resource
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private AiApiKeyService apiKeyService;
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@Resource
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private AiChatModelService chatModalService;
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@Resource
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private AiWriteMapper writeMapper;
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@Override
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public Flux<CommonResult<String>> generateComposition(AiWriteGenerateReqVO generateReqVO) {
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StreamingChatClient chatClient = apiKeyService.getStreamingChatClient(6L);
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AiPlatformEnum platform = AiPlatformEnum.validatePlatform("QianWen");
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ChatOptions chatOptions = buildChatOptions(platform, "qwen-72b-chat", 1.0, 1000);
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public Flux<CommonResult<String>> generateWriteContent(AiWriteGenerateReqVO generateReqVO, Long userId) {
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//TODO 芋艿 写作的模型配置放哪好 先用千问测试
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// 1.1 校验模型
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AiChatModelDO model = chatModalService.validateChatModel(14L);
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StreamingChatModel chatClient = apiKeyService.getStreamingChatClient(model.getKeyId());
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AiPlatformEnum platform = AiPlatformEnum.validatePlatform(model.getPlatform());
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ChatOptions chatOptions = buildChatOptions(platform, model.getModel(), model.getTemperature(), model.getMaxTokens());
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//1.2 插入写作信息
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AiWriteDO writeDO = BeanUtils.toBean(generateReqVO, AiWriteDO.class);
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writeMapper.insert(writeDO.setUserId(userId).setModel(model.getModel()).setPlatform(platform.getPlatform()));
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//2.1 构建提示词
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Prompt prompt = new Prompt(buildWritingPrompt(generateReqVO), chatOptions);
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Flux<ChatResponse> streamResponse = chatClient.stream(prompt);
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// 3.3 流式返回
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// 2.2 流式返回
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StringBuffer contentBuffer = new StringBuffer();
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return streamResponse.map(chunk -> {
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String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getContent() : null;
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@ -53,17 +71,17 @@ public class AiWriteServiceImpl implements AiWriteService {
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// 响应结果
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return success(newContent);
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}).doOnComplete(() -> {
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log.info("generateComposition complete, content: {}", contentBuffer);
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}).onErrorResume(error -> {
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log.error("[AI 写作] 发生异常", error);
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return Flux.just(error(ErrorCodeConstants.AI_CHAT_STREAM_ERROR));
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});
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writeMapper.updateById(new AiWriteDO().setId(writeDO.getId()).setGeneratedContent(contentBuffer.toString()));
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}).doOnError(throwable -> {
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log.error("[AI Write][generateReqVO({}) 发生异常]", generateReqVO, throwable);
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writeMapper.updateById(new AiWriteDO().setId(writeDO.getId()).setErrorMessage(throwable.getMessage()));
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}).onErrorResume(error -> Flux.just(error(ErrorCodeConstants.WRITE_STREAM_ERROR)));
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}
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private String buildWritingPrompt(AiWriteGenerateReqVO generateReqVO) {
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String template = "请直接写一篇关于 [{}] 的文章,格式为:{},语气为:{},语言为:{},长度为:{}。请确保涵盖主要内容,不需要任何额外的解释或道歉。";
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String content = generateReqVO.getContent();
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String template = "请直接写一篇关于 [{}] 的文章,格式为:{},语气为:{},语言为:{},长度为:{}。请确保涵盖主要内容,不需要除了正文内容外的其他回复,如标题、额外的解释或道歉。";
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String content = generateReqVO.getContentPrompt();
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String format = generateReqVO.getFormat();
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String tone = generateReqVO.getTone();
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String language = generateReqVO.getLanguage();
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@ -81,14 +99,14 @@ public class AiWriteServiceImpl implements AiWriteService {
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case OLLAMA:
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return OllamaOptions.create().withModel(model).withTemperature(temperatureF).withNumPredict(maxTokens);
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case YI_YAN:
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// TODO @fan:增加一个 model
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return new YiYanChatOptions().setTemperature(temperatureF).setMaxOutputTokens(maxTokens);
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// TODO 芋艿:貌似 model 只要一设置,就报错
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// return QianFanChatOptions.builder().withModel(model).withTemperature(temperatureF).withMaxTokens(maxTokens).build();
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return QianFanChatOptions.builder().withTemperature(temperatureF).withMaxTokens(maxTokens).build();
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case XING_HUO:
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return new XingHuoOptions().setChatModel(XingHuoChatModel.valueOfModel(model)).setTemperature(temperatureF)
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.setMaxTokens(maxTokens);
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case QIAN_WEN:
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// TODO @fan:增加 model、temperature 参数
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return new QianWenOptions().setMaxTokens(maxTokens);
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return TongYiChatOptions.builder().withModel(model).withTemperature(temperature).withMaxTokens(maxTokens).build();
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default:
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throw new IllegalArgumentException(StrUtil.format("未知平台({})", platform));
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}
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