同步最新代码到简化分支
This commit is contained in:
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package cn.iocoder.yudao.module.ai.enums.knowledge;
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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 知识库-文档状态的枚举
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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 AiKnowledgeDocumentStatusEnum implements IntArrayValuable {
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IN_PROGRESS(10, "索引中"),
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SUCCESS(20, "可用"),
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FAIL(30, "失败");
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/**
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* 状态
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*/
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private final Integer status;
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/**
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* 状态名
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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(AiKnowledgeDocumentStatusEnum::getStatus).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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@@ -1,14 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.image.vo;
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import cn.iocoder.yudao.framework.common.pojo.PageParam;
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import io.swagger.v3.oas.annotations.media.Schema;
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import lombok.Data;
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@Schema(description = "管理后台 - AI 绘画公开的分页 Request VO")
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@Data
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public class AiImagePublicPageReqVO extends PageParam {
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@Schema(description = "提示词")
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private String prompt;
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}
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@@ -1,50 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge;
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import cn.iocoder.yudao.framework.common.pojo.CommonResult;
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import cn.iocoder.yudao.framework.common.pojo.PageResult;
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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.knowledge.vo.knowledge.AiKnowledgeCreateReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgePageReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeRespVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeUpdateReqVO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
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import cn.iocoder.yudao.module.ai.service.knowledge.AiKnowledgeService;
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import io.swagger.v3.oas.annotations.Operation;
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import io.swagger.v3.oas.annotations.tags.Tag;
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import jakarta.annotation.Resource;
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import jakarta.validation.Valid;
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import org.springframework.validation.annotation.Validated;
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import org.springframework.web.bind.annotation.*;
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import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
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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 知识库")
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@RestController
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@RequestMapping("/ai/knowledge")
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@Validated
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public class AiKnowledgeController {
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@Resource
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private AiKnowledgeService knowledgeService;
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@GetMapping("/page")
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@Operation(summary = "获取知识库分页")
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public CommonResult<PageResult<AiKnowledgeRespVO>> getKnowledgePage(@Valid AiKnowledgePageReqVO pageReqVO) {
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PageResult<AiKnowledgeDO> pageResult = knowledgeService.getKnowledgePage(getLoginUserId(), pageReqVO);
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return success(BeanUtils.toBean(pageResult, AiKnowledgeRespVO.class));
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}
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@PostMapping("/create")
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@Operation(summary = "创建知识库")
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public CommonResult<Long> createKnowledge(@RequestBody @Valid AiKnowledgeCreateReqVO createReqVO) {
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return success(knowledgeService.createKnowledge(createReqVO, getLoginUserId()));
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}
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@PutMapping("/update")
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@Operation(summary = "更新知识库")
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public CommonResult<Boolean> updateKnowledge(@RequestBody @Valid AiKnowledgeUpdateReqVO updateReqVO) {
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knowledgeService.updateKnowledge(updateReqVO, getLoginUserId());
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return success(true);
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}
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}
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@@ -1,51 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge;
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import cn.iocoder.yudao.framework.common.pojo.CommonResult;
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import cn.iocoder.yudao.framework.common.pojo.PageResult;
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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.knowledge.vo.document.AiKnowledgeDocumentPageReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentRespVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentUpdateReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeDocumentCreateReqVO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDocumentDO;
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import cn.iocoder.yudao.module.ai.service.knowledge.AiKnowledgeDocumentService;
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import io.swagger.v3.oas.annotations.Operation;
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import io.swagger.v3.oas.annotations.tags.Tag;
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import jakarta.annotation.Resource;
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import jakarta.validation.Valid;
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import org.springframework.validation.annotation.Validated;
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import org.springframework.web.bind.annotation.*;
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import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
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@Tag(name = "管理后台 - AI 知识库文档")
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@RestController
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@RequestMapping("/ai/knowledge/document")
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@Validated
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public class AiKnowledgeDocumentController {
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@Resource
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private AiKnowledgeDocumentService documentService;
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@PostMapping("/create")
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@Operation(summary = "新建文档")
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public CommonResult<Long> createKnowledgeDocument(@Valid AiKnowledgeDocumentCreateReqVO reqVO) {
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Long knowledgeDocumentId = documentService.createKnowledgeDocument(reqVO);
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return success(knowledgeDocumentId);
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}
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@GetMapping("/page")
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@Operation(summary = "获取文档分页")
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public CommonResult<PageResult<AiKnowledgeDocumentRespVO>> getKnowledgeDocumentPage(@Valid AiKnowledgeDocumentPageReqVO pageReqVO) {
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PageResult<AiKnowledgeDocumentDO> pageResult = documentService.getKnowledgeDocumentPage(pageReqVO);
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return success(BeanUtils.toBean(pageResult, AiKnowledgeDocumentRespVO.class));
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}
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@PutMapping("/update")
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@Operation(summary = "更新文档")
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public CommonResult<Boolean> updateKnowledgeDocument(@Valid @RequestBody AiKnowledgeDocumentUpdateReqVO reqVO) {
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documentService.updateKnowledgeDocument(reqVO);
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return success(true);
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}
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}
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@@ -1,51 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge;
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import cn.iocoder.yudao.framework.common.pojo.CommonResult;
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import cn.iocoder.yudao.framework.common.pojo.PageResult;
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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.knowledge.vo.segment.AiKnowledgeSegmentPageReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentRespVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentUpdateReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentUpdateStatusReqVO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeSegmentDO;
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import cn.iocoder.yudao.module.ai.service.knowledge.AiKnowledgeSegmentService;
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import io.swagger.v3.oas.annotations.Operation;
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import io.swagger.v3.oas.annotations.tags.Tag;
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import jakarta.annotation.Resource;
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import jakarta.validation.Valid;
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import org.springframework.validation.annotation.Validated;
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import org.springframework.web.bind.annotation.*;
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import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
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@Tag(name = "管理后台 - AI 知识库段落")
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@RestController
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@RequestMapping("/ai/knowledge/segment")
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@Validated
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public class AiKnowledgeSegmentController {
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@Resource
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private AiKnowledgeSegmentService segmentService;
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@GetMapping("/page")
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@Operation(summary = "获取段落分页")
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public CommonResult<PageResult<AiKnowledgeSegmentRespVO>> getKnowledgeSegmentPage(@Valid AiKnowledgeSegmentPageReqVO pageReqVO) {
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PageResult<AiKnowledgeSegmentDO> pageResult = segmentService.getKnowledgeSegmentPage(pageReqVO);
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return success(BeanUtils.toBean(pageResult, AiKnowledgeSegmentRespVO.class));
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}
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@PutMapping("/update")
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@Operation(summary = "更新段落内容")
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public CommonResult<Boolean> updateKnowledgeSegment(@Valid @RequestBody AiKnowledgeSegmentUpdateReqVO reqVO) {
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segmentService.updateKnowledgeSegment(reqVO);
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return success(true);
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}
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@PutMapping("/update-status")
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@Operation(summary = "启禁用段落内容")
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public CommonResult<Boolean> updateKnowledgeSegmentStatus(@Valid @RequestBody AiKnowledgeSegmentUpdateStatusReqVO reqVO) {
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segmentService.updateKnowledgeSegmentStatus(reqVO);
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return success(true);
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}
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}
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document;
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import cn.iocoder.yudao.framework.common.pojo.PageParam;
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import io.swagger.v3.oas.annotations.media.Schema;
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import lombok.Data;
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@Schema(description = "管理后台 - AI 知识库文档的分页 Request VO")
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@Data
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public class AiKnowledgeDocumentPageReqVO extends PageParam {
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@Schema(description = "文档名称", example = "Java 开发手册")
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private String name;
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}
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@@ -1,38 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document;
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import cn.iocoder.yudao.framework.common.pojo.PageParam;
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import io.swagger.v3.oas.annotations.media.Schema;
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import lombok.Data;
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@Schema(description = "管理后台 - AI 知识库-文档 Response VO")
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@Data
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public class AiKnowledgeDocumentRespVO extends PageParam {
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@Schema(description = "编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "24790")
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private Long id;
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@Schema(description = "知识库编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "24790")
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private Long knowledgeId;
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@Schema(description = "名称", requiredMode = Schema.RequiredMode.REQUIRED, example = "Java 开发手册")
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private String name;
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@Schema(description = "内容", requiredMode = Schema.RequiredMode.REQUIRED, example = "Java 是一门面向对象的语言.....")
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private String content;
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@Schema(description = "文档 url", requiredMode = Schema.RequiredMode.REQUIRED, example = "https://doc.iocoder.cn")
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private String url;
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@Schema(description = "token 数量", requiredMode = Schema.RequiredMode.REQUIRED, example = "1024")
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private Integer tokens;
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@Schema(description = "字符数", requiredMode = Schema.RequiredMode.REQUIRED, example = "1008")
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private Integer wordCount;
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@Schema(description = "切片状态", requiredMode = Schema.RequiredMode.REQUIRED, example = "1")
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private Integer sliceStatus;
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@Schema(description = "文档状态", requiredMode = Schema.RequiredMode.REQUIRED, example = "1")
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private Integer status;
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}
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@@ -1,26 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document;
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import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
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import cn.iocoder.yudao.framework.common.validation.InEnum;
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import io.swagger.v3.oas.annotations.media.Schema;
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import jakarta.validation.constraints.NotNull;
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import lombok.Data;
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@Schema(description = "管理后台 - AI 更新 知识库-文档 Request VO")
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@Data
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public class AiKnowledgeDocumentUpdateReqVO {
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@Schema(description = "编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "15583")
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@NotNull(message = "编号不能为空")
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private Long id;
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@Schema(description = "是否启用", example = "1")
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@InEnum(CommonStatusEnum.class)
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private Integer status;
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@Schema(description = "名称", example = "Java 开发手册")
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private String name;
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}
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@@ -1,36 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge;
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import io.swagger.v3.oas.annotations.media.Schema;
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import jakarta.validation.constraints.NotBlank;
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import jakarta.validation.constraints.NotNull;
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import lombok.Data;
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import java.util.List;
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@Schema(description = "管理后台 - AI 知识库创建 Request VO")
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@Data
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public class AiKnowledgeCreateReqVO {
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@Schema(description = "知识库名称", requiredMode = Schema.RequiredMode.REQUIRED, example = "ruoyi-vue-pro 用户指南")
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@NotBlank(message = "知识库名称不能为空")
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private String name;
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@Schema(description = "知识库描述", requiredMode = Schema.RequiredMode.REQUIRED, example = "存储 ruoyi-vue-pro 操作文档")
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private String description;
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@Schema(description = "可见权限,只能选择哪些人可见", requiredMode = Schema.RequiredMode.REQUIRED, example = "[1,2,3]")
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private List<Long> visibilityPermissions;
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@Schema(description = "嵌入模型编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "1")
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@NotNull(message = "嵌入模型不能为空")
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private Long modelId;
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@Schema(description = "相似性阈值", requiredMode = Schema.RequiredMode.REQUIRED, example = "0.5")
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@NotNull(message = "相似性阈值不能为空")
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private Double similarityThreshold;
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@Schema(description = "topK", requiredMode = Schema.RequiredMode.REQUIRED, example = "3")
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@NotNull(message = "topK 不能为空")
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private Integer topK;
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}
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@@ -1,46 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge;
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import io.swagger.v3.oas.annotations.media.Schema;
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import jakarta.validation.constraints.NotBlank;
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import jakarta.validation.constraints.NotNull;
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import lombok.Data;
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import org.hibernate.validator.constraints.URL;
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@Schema(description = "管理后台 - AI 知识库文档的创建 Request VO")
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@Data
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public class AiKnowledgeDocumentCreateReqVO {
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@Schema(description = "知识库编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "1204")
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@NotNull(message = "知识库编号不能为空")
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private Long knowledgeId;
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@Schema(description = "文档名称", requiredMode = Schema.RequiredMode.REQUIRED, example = "三方登陆")
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@NotBlank(message = "文档名称不能为空")
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private String name;
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@Schema(description = "文档 URL", requiredMode = Schema.RequiredMode.REQUIRED, example = "https://doc.iocoder.cn")
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@URL(message = "文档 URL 格式不正确")
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private String url;
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@Schema(description = "每个段落的目标 token 数", requiredMode = Schema.RequiredMode.REQUIRED, example = "800")
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@NotNull(message = "每个段落的目标 token 数不能为空")
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private Integer defaultSegmentTokens;
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@Schema(description = "每个段落的最小字符数", requiredMode = Schema.RequiredMode.REQUIRED, example = "350")
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@NotNull(message = "每个段落的最小字符数不能为空")
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private Integer minSegmentWordCount;
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@Schema(description = "丢弃阈值:低于此阈值的段落会被丢弃", requiredMode = Schema.RequiredMode.REQUIRED, example = "5")
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@NotNull(message = "丢弃阈值不能为空")
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private Integer minChunkLengthToEmbed;
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@Schema(description = "最大段落数", requiredMode = Schema.RequiredMode.REQUIRED, example = "10000")
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@NotNull(message = "最大段落数不能为空")
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private Integer maxNumSegments;
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@Schema(description = "分块是否保留分隔符", requiredMode = Schema.RequiredMode.REQUIRED, example = "true")
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@NotNull(message = "分块是否保留分隔符不能为空")
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private Boolean keepSeparator;
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}
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@@ -1,14 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge;
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import cn.iocoder.yudao.framework.common.pojo.PageParam;
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import io.swagger.v3.oas.annotations.media.Schema;
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import lombok.Data;
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@Schema(description = "管理后台 - AI 知识库的分页 Request VO")
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@Data
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public class AiKnowledgePageReqVO extends PageParam {
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@Schema(description = "知识库名称", example = "Java 开发手册")
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private String name;
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||||
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}
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@@ -1,26 +0,0 @@
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package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge;
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import io.swagger.v3.oas.annotations.media.Schema;
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import lombok.Data;
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||||
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||||
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||||
@Schema(description = "管理后台 - AI 知识库 Response VO")
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@Data
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public class AiKnowledgeRespVO {
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@Schema(description = "编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "24790")
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private Long id;
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||||
|
||||
@Schema(description = "知识库名称", requiredMode = Schema.RequiredMode.REQUIRED, example = "ruoyi-vue-pro 用户指南")
|
||||
private String name;
|
||||
|
||||
@Schema(description = "知识库描述", example = "帮助你快速构建系统")
|
||||
private String description;
|
||||
|
||||
@Schema(description = "模型编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "14")
|
||||
private Long modelId;
|
||||
|
||||
@Schema(description = "模型标识", requiredMode = Schema.RequiredMode.REQUIRED, example = "qwen-72b-chat")
|
||||
private String model;
|
||||
|
||||
}
|
@@ -1,32 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge;
|
||||
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import jakarta.validation.constraints.NotBlank;
|
||||
import jakarta.validation.constraints.NotNull;
|
||||
import lombok.Data;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
@Schema(description = "管理后台 - AI 知识库更新【我的】 Request VO")
|
||||
@Data
|
||||
public class AiKnowledgeUpdateReqVO {
|
||||
|
||||
@Schema(description = "对话编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "1204")
|
||||
@NotNull(message = "知识库编号不能为空")
|
||||
private Long id;
|
||||
|
||||
@Schema(description = "知识库名称", requiredMode = Schema.RequiredMode.REQUIRED, example = "")
|
||||
@NotBlank(message = "知识库名称不能为空")
|
||||
private String name;
|
||||
|
||||
@Schema(description = "知识库描述", requiredMode = Schema.RequiredMode.REQUIRED, example = "")
|
||||
private String description;
|
||||
|
||||
@Schema(description = "可见权限,只能选择哪些人可见", requiredMode = Schema.RequiredMode.REQUIRED, example = "1,2,3")
|
||||
private List<Long> visibilityPermissions;
|
||||
|
||||
@Schema(description = "嵌入模型编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "1")
|
||||
@NotNull(message = "嵌入模型不能为空")
|
||||
private Long modelId;
|
||||
|
||||
}
|
@@ -1,20 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.pojo.PageParam;
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import lombok.Data;
|
||||
|
||||
@Schema(description = "管理后台 - AI 知识库分段的分页 Request VO")
|
||||
@Data
|
||||
public class AiKnowledgeSegmentPageReqVO extends PageParam {
|
||||
|
||||
@Schema(description = "分段状态", example = "1")
|
||||
private Integer status;
|
||||
|
||||
@Schema(description = "文档编号", example = "1")
|
||||
private Integer documentId;
|
||||
|
||||
@Schema(description = "分段内容关键字", example = "Java 开发")
|
||||
private String keyword;
|
||||
|
||||
}
|
@@ -1,34 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment;
|
||||
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import lombok.Data;
|
||||
|
||||
@Schema(description = "管理后台 - AI 知识库-文档 Response VO")
|
||||
@Data
|
||||
public class AiKnowledgeSegmentRespVO {
|
||||
|
||||
@Schema(description = "编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "24790")
|
||||
private Long id;
|
||||
|
||||
@Schema(description = "文档编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "24790")
|
||||
private Long documentId;
|
||||
|
||||
@Schema(description = "知识库编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "24790")
|
||||
private Long knowledgeId;
|
||||
|
||||
@Schema(description = "向量库编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "1858496a-1dde-4edf-a43e-0aed08f37f8c")
|
||||
private String vectorId;
|
||||
|
||||
@Schema(description = "切片内容", requiredMode = Schema.RequiredMode.REQUIRED, example = "Java 开发手册")
|
||||
private String content;
|
||||
|
||||
@Schema(description = "token 数量", requiredMode = Schema.RequiredMode.REQUIRED, example = "1024")
|
||||
private Integer tokens;
|
||||
|
||||
@Schema(description = "字符数", requiredMode = Schema.RequiredMode.REQUIRED, example = "1008")
|
||||
private Integer wordCount;
|
||||
|
||||
@Schema(description = "文档状态", requiredMode = Schema.RequiredMode.REQUIRED, example = "1")
|
||||
private Integer status;
|
||||
|
||||
}
|
@@ -1,17 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment;
|
||||
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import lombok.Data;
|
||||
|
||||
|
||||
@Schema(description = "管理后台 - AI 知识库段落召回 Request VO")
|
||||
@Data
|
||||
public class AiKnowledgeSegmentSearchReqVO {
|
||||
|
||||
@Schema(description = "知识库编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "24790")
|
||||
private Long knowledgeId;
|
||||
|
||||
@Schema(description = "内容", requiredMode = Schema.RequiredMode.REQUIRED, example = "Java 学习路线")
|
||||
private String content;
|
||||
|
||||
}
|
@@ -1,17 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment;
|
||||
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import lombok.Data;
|
||||
|
||||
|
||||
@Schema(description = "管理后台 - AI 更新 知识库-段落 request VO")
|
||||
@Data
|
||||
public class AiKnowledgeSegmentUpdateReqVO {
|
||||
|
||||
@Schema(description = "编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "24790")
|
||||
private Long id;
|
||||
|
||||
@Schema(description = "切片内容", requiredMode = Schema.RequiredMode.REQUIRED, example = "Java 开发手册")
|
||||
private String content;
|
||||
|
||||
}
|
@@ -1,22 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
import cn.iocoder.yudao.framework.common.validation.InEnum;
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import jakarta.validation.constraints.NotNull;
|
||||
import lombok.Data;
|
||||
|
||||
|
||||
@Schema(description = "管理后台 - AI 知识库段落的更新状态 Request VO")
|
||||
@Data
|
||||
public class AiKnowledgeSegmentUpdateStatusReqVO {
|
||||
|
||||
@Schema(description = "编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "24790")
|
||||
private Long id;
|
||||
|
||||
@Schema(description = "是否启用", requiredMode = Schema.RequiredMode.REQUIRED, example = "1")
|
||||
@NotNull(message = "是否启用不能为空")
|
||||
@InEnum(CommonStatusEnum.class)
|
||||
private Integer status;
|
||||
|
||||
}
|
@@ -1,30 +0,0 @@
|
||||
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;
|
||||
|
||||
}
|
@@ -1,36 +0,0 @@
|
||||
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;
|
||||
|
||||
}
|
@@ -1,74 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.dal.dataobject.knowledge;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
import cn.iocoder.yudao.framework.mybatis.core.dataobject.BaseDO;
|
||||
import cn.iocoder.yudao.framework.mybatis.core.type.LongListTypeHandler;
|
||||
import com.baomidou.mybatisplus.annotation.TableField;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import lombok.Data;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* AI 知识库 DO
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
@TableName(value = "ai_knowledge", autoResultMap = true)
|
||||
@Data
|
||||
public class AiKnowledgeDO extends BaseDO {
|
||||
|
||||
/**
|
||||
* 编号
|
||||
*/
|
||||
@TableId
|
||||
private Long id;
|
||||
/**
|
||||
* 用户编号
|
||||
* <p>
|
||||
* 关联 AdminUserDO 的 userId 字段
|
||||
*/
|
||||
private Long userId;
|
||||
/**
|
||||
* 知识库名称
|
||||
*/
|
||||
private String name;
|
||||
/**
|
||||
* 知识库描述
|
||||
*/
|
||||
private String description;
|
||||
|
||||
/**
|
||||
* 可见权限,选择哪些人可见
|
||||
* <p>
|
||||
* -1 所有人可见,其他为各自用户编号
|
||||
*/
|
||||
@TableField(typeHandler = LongListTypeHandler.class)
|
||||
private List<Long> visibilityPermissions;
|
||||
/**
|
||||
* 嵌入模型编号
|
||||
*/
|
||||
private Long modelId;
|
||||
/**
|
||||
* 模型标识
|
||||
*/
|
||||
private String model;
|
||||
|
||||
/**
|
||||
* topK
|
||||
*/
|
||||
private Integer topK;
|
||||
/**
|
||||
* 相似度阈值
|
||||
*/
|
||||
private Double similarityThreshold;
|
||||
|
||||
/**
|
||||
* 状态
|
||||
* <p>
|
||||
* 枚举 {@link CommonStatusEnum}
|
||||
*/
|
||||
private Integer status;
|
||||
|
||||
}
|
@@ -1,90 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.dal.dataobject.knowledge;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
import cn.iocoder.yudao.framework.mybatis.core.dataobject.BaseDO;
|
||||
import cn.iocoder.yudao.module.ai.enums.knowledge.AiKnowledgeDocumentStatusEnum;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import lombok.Data;
|
||||
|
||||
/**
|
||||
* AI 知识库-文档 DO
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
@TableName(value = "ai_knowledge_document")
|
||||
@Data
|
||||
public class AiKnowledgeDocumentDO extends BaseDO {
|
||||
|
||||
/**
|
||||
* 编号
|
||||
*/
|
||||
@TableId
|
||||
private Long id;
|
||||
/**
|
||||
* 知识库编号
|
||||
* <p>
|
||||
* 关联 {@link AiKnowledgeDO#getId()}
|
||||
*/
|
||||
private Long knowledgeId;
|
||||
/**
|
||||
* 文件名称
|
||||
*/
|
||||
private String name;
|
||||
/**
|
||||
* 内容
|
||||
*/
|
||||
private String content;
|
||||
/**
|
||||
* 文件 URL
|
||||
*/
|
||||
private String url;
|
||||
/**
|
||||
* 文档 token 数量
|
||||
*/
|
||||
private Integer tokens;
|
||||
/**
|
||||
* 文档字符数
|
||||
*/
|
||||
private Integer wordCount;
|
||||
|
||||
|
||||
// ========== 自定义分段所用参数 ==========
|
||||
// TODO @新:3)defaultChunkSize、defaultChunkSize、minChunkSizeChars、maxNumChunks 这几个字段的命名,可能要微信一起讨论下。尽量命名保持风格统一哈。
|
||||
/**
|
||||
* 每个文本块的目标 token 数
|
||||
*/
|
||||
private Integer defaultSegmentTokens;
|
||||
/**
|
||||
* 每个文本块的最小字符数
|
||||
*/
|
||||
private Integer minSegmentWordCount;
|
||||
/**
|
||||
* 低于此值的块会被丢弃
|
||||
*/
|
||||
private Integer minChunkLengthToEmbed;
|
||||
/**
|
||||
* 最大块数
|
||||
*/
|
||||
private Integer maxNumSegments;
|
||||
/**
|
||||
* 分块是否保留分隔符
|
||||
*/
|
||||
private Boolean keepSeparator;
|
||||
// ===================================
|
||||
|
||||
/**
|
||||
* 切片状态
|
||||
* <p>
|
||||
* 枚举 {@link AiKnowledgeDocumentStatusEnum}
|
||||
*/
|
||||
private Integer sliceStatus;
|
||||
|
||||
/**
|
||||
* 状态
|
||||
* <p>
|
||||
* 枚举 {@link CommonStatusEnum}
|
||||
*/
|
||||
private Integer status;
|
||||
|
||||
}
|
@@ -1,60 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.dal.dataobject.knowledge;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
import cn.iocoder.yudao.framework.mybatis.core.dataobject.BaseDO;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import lombok.Data;
|
||||
|
||||
/**
|
||||
* AI 知识库-文档分段 DO
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
@TableName(value = "ai_knowledge_segment")
|
||||
@Data
|
||||
public class AiKnowledgeSegmentDO extends BaseDO {
|
||||
|
||||
public static final String FIELD_KNOWLEDGE_ID = "knowledgeId";
|
||||
|
||||
/**
|
||||
* 编号
|
||||
*/
|
||||
@TableId
|
||||
private Long id;
|
||||
/**
|
||||
* 向量库的编号
|
||||
*/
|
||||
private String vectorId;
|
||||
/**
|
||||
* 知识库编号
|
||||
* <p>
|
||||
* 关联 {@link AiKnowledgeDO#getId()}
|
||||
*/
|
||||
private Long knowledgeId;
|
||||
/**
|
||||
* 文档编号
|
||||
* <p>
|
||||
* 关联 {@link AiKnowledgeDocumentDO#getId()}
|
||||
*/
|
||||
private Long documentId;
|
||||
/**
|
||||
* 切片内容
|
||||
*/
|
||||
private String content;
|
||||
/**
|
||||
* 字符数
|
||||
*/
|
||||
private Integer wordCount;
|
||||
/**
|
||||
* token 数量
|
||||
*/
|
||||
private Integer tokens;
|
||||
/**
|
||||
* 状态
|
||||
* <p>
|
||||
* 枚举 {@link CommonStatusEnum}
|
||||
*/
|
||||
private Integer status;
|
||||
|
||||
}
|
@@ -1,24 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.dal.mysql.knowledge;
|
||||
|
||||
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.knowledge.vo.document.AiKnowledgeDocumentPageReqVO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDocumentDO;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
|
||||
/**
|
||||
* AI 知识库-文档 Mapper
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
@Mapper
|
||||
public interface AiKnowledgeDocumentMapper extends BaseMapperX<AiKnowledgeDocumentDO> {
|
||||
|
||||
default PageResult<AiKnowledgeDocumentDO> selectPage(AiKnowledgeDocumentPageReqVO reqVO) {
|
||||
return selectPage(reqVO, new LambdaQueryWrapperX<AiKnowledgeDocumentDO>()
|
||||
.likeIfPresent(AiKnowledgeDocumentDO::getName, reqVO.getName())
|
||||
.orderByDesc(AiKnowledgeDocumentDO::getId));
|
||||
}
|
||||
|
||||
}
|
@@ -1,26 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.dal.mysql.knowledge;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
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.knowledge.vo.knowledge.AiKnowledgePageReqVO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
|
||||
/**
|
||||
* AI 知识库基础信息 Mapper
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
@Mapper
|
||||
public interface AiKnowledgeMapper extends BaseMapperX<AiKnowledgeDO> {
|
||||
|
||||
default PageResult<AiKnowledgeDO> selectPage(Long userId, AiKnowledgePageReqVO pageReqVO) {
|
||||
return selectPage(pageReqVO, new LambdaQueryWrapperX<AiKnowledgeDO>()
|
||||
.eq(AiKnowledgeDO::getStatus, CommonStatusEnum.ENABLE.getStatus())
|
||||
.likeIfPresent(AiKnowledgeDO::getName, pageReqVO.getName())
|
||||
.and(e -> e.apply("FIND_IN_SET(" + userId + ",visibility_permissions)").or(m -> m.apply("FIND_IN_SET(-1,visibility_permissions)")))
|
||||
.orderByDesc(AiKnowledgeDO::getId));
|
||||
}
|
||||
}
|
@@ -1,34 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.dal.mysql.knowledge;
|
||||
|
||||
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.knowledge.vo.segment.AiKnowledgeSegmentPageReqVO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeSegmentDO;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* AI 知识库-分片 Mapper
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
@Mapper
|
||||
public interface AiKnowledgeSegmentMapper extends BaseMapperX<AiKnowledgeSegmentDO> {
|
||||
|
||||
default PageResult<AiKnowledgeSegmentDO> selectPage(AiKnowledgeSegmentPageReqVO reqVO) {
|
||||
return selectPage(reqVO, new LambdaQueryWrapperX<AiKnowledgeSegmentDO>()
|
||||
.eq(AiKnowledgeSegmentDO::getDocumentId, reqVO.getDocumentId())
|
||||
.eqIfPresent(AiKnowledgeSegmentDO::getStatus, reqVO.getStatus())
|
||||
.likeIfPresent(AiKnowledgeSegmentDO::getContent, reqVO.getKeyword())
|
||||
.orderByDesc(AiKnowledgeSegmentDO::getId));
|
||||
}
|
||||
|
||||
default List<AiKnowledgeSegmentDO> selectListByVectorIds(List<String> vectorIdList) {
|
||||
return selectList(new LambdaQueryWrapperX<AiKnowledgeSegmentDO>()
|
||||
.in(AiKnowledgeSegmentDO::getVectorId, vectorIdList)
|
||||
.orderByDesc(AiKnowledgeSegmentDO::getId));
|
||||
}
|
||||
|
||||
}
|
@@ -1,39 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.service.knowledge;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.pojo.PageResult;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentPageReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentUpdateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeDocumentCreateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDocumentDO;
|
||||
|
||||
/**
|
||||
* AI 知识库-文档 Service 接口
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
public interface AiKnowledgeDocumentService {
|
||||
|
||||
/**
|
||||
* 创建文档
|
||||
*
|
||||
* @param createReqVO 文档创建 Request VO
|
||||
* @return 文档编号
|
||||
*/
|
||||
Long createKnowledgeDocument(AiKnowledgeDocumentCreateReqVO createReqVO);
|
||||
|
||||
|
||||
/**
|
||||
* 获取文档分页
|
||||
*
|
||||
* @param pageReqVO 分页参数
|
||||
* @return 文档分页
|
||||
*/
|
||||
PageResult<AiKnowledgeDocumentDO> getKnowledgeDocumentPage(AiKnowledgeDocumentPageReqVO pageReqVO);
|
||||
|
||||
/**
|
||||
* 更新文档
|
||||
*
|
||||
* @param reqVO 更新信息
|
||||
*/
|
||||
void updateKnowledgeDocument(AiKnowledgeDocumentUpdateReqVO reqVO);
|
||||
}
|
@@ -1,130 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.service.knowledge;
|
||||
|
||||
import cn.hutool.core.collection.CollUtil;
|
||||
import cn.hutool.http.HttpUtil;
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
import cn.iocoder.yudao.framework.common.pojo.PageResult;
|
||||
import cn.iocoder.yudao.framework.common.util.collection.CollectionUtils;
|
||||
import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentPageReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentUpdateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeDocumentCreateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDocumentDO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeSegmentDO;
|
||||
import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeDocumentMapper;
|
||||
import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeSegmentMapper;
|
||||
import cn.iocoder.yudao.module.ai.enums.knowledge.AiKnowledgeDocumentStatusEnum;
|
||||
import jakarta.annotation.Resource;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.ai.document.Document;
|
||||
import org.springframework.ai.reader.tika.TikaDocumentReader;
|
||||
import org.springframework.ai.tokenizer.TokenCountEstimator;
|
||||
import org.springframework.ai.transformer.splitter.TokenTextSplitter;
|
||||
import org.springframework.ai.vectorstore.VectorStore;
|
||||
import org.springframework.core.io.ByteArrayResource;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.transaction.annotation.Transactional;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
|
||||
import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.KNOWLEDGE_DOCUMENT_NOT_EXISTS;
|
||||
|
||||
/**
|
||||
* AI 知识库文档 Service 实现类
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
@Service
|
||||
@Slf4j
|
||||
public class AiKnowledgeDocumentServiceImpl implements AiKnowledgeDocumentService {
|
||||
|
||||
@Resource
|
||||
private AiKnowledgeDocumentMapper documentMapper;
|
||||
@Resource
|
||||
private AiKnowledgeSegmentMapper segmentMapper;
|
||||
|
||||
@Resource
|
||||
private TokenCountEstimator tokenCountEstimator;
|
||||
@Resource
|
||||
private AiKnowledgeService knowledgeService;
|
||||
|
||||
@Override
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
public Long createKnowledgeDocument(AiKnowledgeDocumentCreateReqVO createReqVO) {
|
||||
// 0. 校验并获取向量存储实例
|
||||
VectorStore vectorStore = knowledgeService.getVectorStoreById(createReqVO.getKnowledgeId());
|
||||
|
||||
// 1.1 下载文档
|
||||
TikaDocumentReader loader = new TikaDocumentReader(downloadFile(createReqVO.getUrl()));
|
||||
List<Document> documents = loader.get();
|
||||
Document document = CollUtil.getFirst(documents);
|
||||
// 1.2 文档记录入库
|
||||
String content = document.getContent();
|
||||
AiKnowledgeDocumentDO documentDO = BeanUtils.toBean(createReqVO, AiKnowledgeDocumentDO.class)
|
||||
.setTokens(tokenCountEstimator.estimate(content)).setWordCount(content.length())
|
||||
.setStatus(CommonStatusEnum.ENABLE.getStatus()).setSliceStatus(AiKnowledgeDocumentStatusEnum.SUCCESS.getStatus());
|
||||
documentMapper.insert(documentDO);
|
||||
Long documentId = documentDO.getId();
|
||||
if (CollUtil.isEmpty(documents)) {
|
||||
return documentId;
|
||||
}
|
||||
|
||||
// 2 构造文本分段器
|
||||
TokenTextSplitter tokenTextSplitter = new TokenTextSplitter(createReqVO.getDefaultSegmentTokens(), createReqVO.getMinSegmentWordCount(), createReqVO.getMinChunkLengthToEmbed(),
|
||||
createReqVO.getMaxNumSegments(), createReqVO.getKeepSeparator());
|
||||
// 2.1 文档分段
|
||||
List<Document> segments = tokenTextSplitter.apply(documents);
|
||||
// 2.2 分段内容入库
|
||||
List<AiKnowledgeSegmentDO> segmentDOList = CollectionUtils.convertList(segments,
|
||||
segment -> new AiKnowledgeSegmentDO().setContent(segment.getContent()).setDocumentId(documentId)
|
||||
.setKnowledgeId(createReqVO.getKnowledgeId()).setVectorId(segment.getId())
|
||||
.setTokens(tokenCountEstimator.estimate(segment.getContent())).setWordCount(segment.getContent().length())
|
||||
.setStatus(CommonStatusEnum.ENABLE.getStatus()));
|
||||
segmentMapper.insertBatch(segmentDOList);
|
||||
|
||||
// 3. 向量化并存储
|
||||
segments.forEach(segment -> segment.getMetadata().put(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, createReqVO.getKnowledgeId()));
|
||||
vectorStore.add(segments);
|
||||
return documentId;
|
||||
}
|
||||
|
||||
@Override
|
||||
public PageResult<AiKnowledgeDocumentDO> getKnowledgeDocumentPage(AiKnowledgeDocumentPageReqVO pageReqVO) {
|
||||
return documentMapper.selectPage(pageReqVO);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void updateKnowledgeDocument(AiKnowledgeDocumentUpdateReqVO reqVO) {
|
||||
// 1. 校验文档是否存在
|
||||
validateKnowledgeDocumentExists(reqVO.getId());
|
||||
// 2. 更新文档
|
||||
AiKnowledgeDocumentDO document = BeanUtils.toBean(reqVO, AiKnowledgeDocumentDO.class);
|
||||
documentMapper.updateById(document);
|
||||
}
|
||||
|
||||
/**
|
||||
* 校验文档是否存在
|
||||
*
|
||||
* @param id 文档编号
|
||||
* @return 文档信息
|
||||
*/
|
||||
private AiKnowledgeDocumentDO validateKnowledgeDocumentExists(Long id) {
|
||||
AiKnowledgeDocumentDO knowledgeDocument = documentMapper.selectById(id);
|
||||
if (knowledgeDocument == null) {
|
||||
throw exception(KNOWLEDGE_DOCUMENT_NOT_EXISTS);
|
||||
}
|
||||
return knowledgeDocument;
|
||||
}
|
||||
|
||||
private org.springframework.core.io.Resource downloadFile(String url) {
|
||||
try {
|
||||
byte[] bytes = HttpUtil.downloadBytes(url);
|
||||
return new ByteArrayResource(bytes);
|
||||
} catch (Exception e) {
|
||||
log.error("[downloadFile][url({}) 下载失败]", url, e);
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
@@ -1,49 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.service.knowledge;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.pojo.PageResult;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentPageReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentSearchReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentUpdateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentUpdateStatusReqVO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeSegmentDO;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* AI 知识库段落 Service 接口
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
public interface AiKnowledgeSegmentService {
|
||||
|
||||
/**
|
||||
* 获取段落分页
|
||||
*
|
||||
* @param pageReqVO 分页查询
|
||||
* @return 文档分页
|
||||
*/
|
||||
PageResult<AiKnowledgeSegmentDO> getKnowledgeSegmentPage(AiKnowledgeSegmentPageReqVO pageReqVO);
|
||||
|
||||
/**
|
||||
* 更新段落的内容
|
||||
*
|
||||
* @param reqVO 更新内容
|
||||
*/
|
||||
void updateKnowledgeSegment(AiKnowledgeSegmentUpdateReqVO reqVO);
|
||||
|
||||
/**
|
||||
* 更新段落的状态
|
||||
*
|
||||
* @param reqVO 更新内容
|
||||
*/
|
||||
void updateKnowledgeSegmentStatus(AiKnowledgeSegmentUpdateStatusReqVO reqVO);
|
||||
|
||||
/**
|
||||
* 召回段落
|
||||
*
|
||||
* @param reqVO 召回请求信息
|
||||
* @return 召回的段落
|
||||
*/
|
||||
List<AiKnowledgeSegmentDO> similaritySearch(AiKnowledgeSegmentSearchReqVO reqVO);
|
||||
|
||||
}
|
@@ -1,134 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.service.knowledge;
|
||||
|
||||
import cn.hutool.core.collection.CollUtil;
|
||||
import cn.hutool.core.collection.ListUtil;
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
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.knowledge.vo.segment.AiKnowledgeSegmentPageReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentSearchReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentUpdateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentUpdateStatusReqVO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeSegmentDO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatModelDO;
|
||||
import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeSegmentMapper;
|
||||
import cn.iocoder.yudao.module.ai.service.model.AiApiKeyService;
|
||||
import cn.iocoder.yudao.module.ai.service.model.AiChatModelService;
|
||||
import jakarta.annotation.Resource;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.ai.document.Document;
|
||||
import org.springframework.ai.vectorstore.SearchRequest;
|
||||
import org.springframework.ai.vectorstore.VectorStore;
|
||||
import org.springframework.ai.vectorstore.filter.FilterExpressionBuilder;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Objects;
|
||||
|
||||
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
|
||||
import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.KNOWLEDGE_SEGMENT_NOT_EXISTS;
|
||||
|
||||
/**
|
||||
* AI 知识库分片 Service 实现类
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
@Service
|
||||
@Slf4j
|
||||
public class AiKnowledgeSegmentServiceImpl implements AiKnowledgeSegmentService {
|
||||
|
||||
@Resource
|
||||
private AiKnowledgeSegmentMapper segmentMapper;
|
||||
|
||||
@Resource
|
||||
private AiKnowledgeService knowledgeService;
|
||||
@Resource
|
||||
private AiChatModelService chatModelService;
|
||||
@Resource
|
||||
private AiApiKeyService apiKeyService;
|
||||
|
||||
@Override
|
||||
public PageResult<AiKnowledgeSegmentDO> getKnowledgeSegmentPage(AiKnowledgeSegmentPageReqVO pageReqVO) {
|
||||
return segmentMapper.selectPage(pageReqVO);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void updateKnowledgeSegment(AiKnowledgeSegmentUpdateReqVO reqVO) {
|
||||
// 1. 校验
|
||||
AiKnowledgeSegmentDO oldKnowledgeSegment = validateKnowledgeSegmentExists(reqVO.getId());
|
||||
|
||||
// 2.1 获取知识库向量实例
|
||||
VectorStore vectorStore = knowledgeService.getVectorStoreById(oldKnowledgeSegment.getKnowledgeId());
|
||||
// 2.2 删除原向量
|
||||
vectorStore.delete(List.of(oldKnowledgeSegment.getVectorId()));
|
||||
// 2.3 重新向量化
|
||||
Document document = new Document(reqVO.getContent());
|
||||
document.getMetadata().put(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, oldKnowledgeSegment.getKnowledgeId());
|
||||
vectorStore.add(List.of(document));
|
||||
|
||||
// 3. 更新段落内容
|
||||
AiKnowledgeSegmentDO knowledgeSegment = BeanUtils.toBean(reqVO, AiKnowledgeSegmentDO.class);
|
||||
knowledgeSegment.setVectorId(document.getId());
|
||||
segmentMapper.updateById(knowledgeSegment);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void updateKnowledgeSegmentStatus(AiKnowledgeSegmentUpdateStatusReqVO reqVO) {
|
||||
// 0 校验
|
||||
AiKnowledgeSegmentDO oldKnowledgeSegment = validateKnowledgeSegmentExists(reqVO.getId());
|
||||
// 1 获取知识库向量实例
|
||||
VectorStore vectorStore = knowledgeService.getVectorStoreById(oldKnowledgeSegment.getKnowledgeId());
|
||||
AiKnowledgeSegmentDO knowledgeSegment = BeanUtils.toBean(reqVO, AiKnowledgeSegmentDO.class);
|
||||
|
||||
if (Objects.equals(reqVO.getStatus(), CommonStatusEnum.ENABLE.getStatus())) {
|
||||
// 2.1 启用重新向量化
|
||||
Document document = new Document(oldKnowledgeSegment.getContent());
|
||||
document.getMetadata().put(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, oldKnowledgeSegment.getKnowledgeId());
|
||||
vectorStore.add(List.of(document));
|
||||
knowledgeSegment.setVectorId(document.getId());
|
||||
} else {
|
||||
// 2.2 禁用删除向量
|
||||
vectorStore.delete(List.of(oldKnowledgeSegment.getVectorId()));
|
||||
knowledgeSegment.setVectorId("");
|
||||
}
|
||||
// 3 更新段落状态
|
||||
segmentMapper.updateById(knowledgeSegment);
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<AiKnowledgeSegmentDO> similaritySearch(AiKnowledgeSegmentSearchReqVO reqVO) {
|
||||
// 1. 校验
|
||||
AiKnowledgeDO knowledge = knowledgeService.validateKnowledgeExists(reqVO.getKnowledgeId());
|
||||
AiChatModelDO model = chatModelService.validateChatModel(knowledge.getModelId());
|
||||
|
||||
// 2. 获取向量存储实例
|
||||
VectorStore vectorStore = apiKeyService.getOrCreateVectorStore(model.getKeyId());
|
||||
|
||||
// 3.1 向量检索
|
||||
List<Document> documentList = vectorStore.similaritySearch(SearchRequest.query(reqVO.getContent())
|
||||
.withTopK(knowledge.getTopK())
|
||||
.withSimilarityThreshold(knowledge.getSimilarityThreshold())
|
||||
.withFilterExpression(new FilterExpressionBuilder().eq(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, reqVO.getKnowledgeId()).build()));
|
||||
if (CollUtil.isEmpty(documentList)) {
|
||||
return ListUtil.empty();
|
||||
}
|
||||
// 3.2 段落召回
|
||||
return segmentMapper.selectListByVectorIds(CollUtil.getFieldValues(documentList, "id", String.class));
|
||||
}
|
||||
|
||||
/**
|
||||
* 校验段落是否存在
|
||||
*
|
||||
* @param id 文档编号
|
||||
* @return 段落信息
|
||||
*/
|
||||
private AiKnowledgeSegmentDO validateKnowledgeSegmentExists(Long id) {
|
||||
AiKnowledgeSegmentDO knowledgeSegment = segmentMapper.selectById(id);
|
||||
if (knowledgeSegment == null) {
|
||||
throw exception(KNOWLEDGE_SEGMENT_NOT_EXISTS);
|
||||
}
|
||||
return knowledgeSegment;
|
||||
}
|
||||
|
||||
}
|
@@ -1,58 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.service.knowledge;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.pojo.PageResult;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeCreateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgePageReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeUpdateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
|
||||
import org.springframework.ai.vectorstore.VectorStore;
|
||||
|
||||
/**
|
||||
* AI 知识库-基础信息 Service 接口
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
public interface AiKnowledgeService {
|
||||
|
||||
/**
|
||||
* 创建知识库
|
||||
*
|
||||
* @param createReqVO 创建信息
|
||||
* @param userId 用户编号
|
||||
* @return 编号
|
||||
*/
|
||||
Long createKnowledge(AiKnowledgeCreateReqVO createReqVO, Long userId);
|
||||
|
||||
/**
|
||||
* 更新知识库
|
||||
*
|
||||
* @param updateReqVO 更新信息
|
||||
* @param userId 用户编号
|
||||
*/
|
||||
void updateKnowledge(AiKnowledgeUpdateReqVO updateReqVO, Long userId);
|
||||
|
||||
/**
|
||||
* 校验知识库是否存在
|
||||
*
|
||||
* @param id 记录编号
|
||||
*/
|
||||
AiKnowledgeDO validateKnowledgeExists(Long id);
|
||||
|
||||
/**
|
||||
* 获得知识库分页
|
||||
*
|
||||
* @param userId 用户编号
|
||||
* @param pageReqVO 分页查询
|
||||
* @return 知识库分页
|
||||
*/
|
||||
PageResult<AiKnowledgeDO> getKnowledgePage(Long userId, AiKnowledgePageReqVO pageReqVO);
|
||||
|
||||
/**
|
||||
* 根据知识库编号获取向量存储实例
|
||||
*
|
||||
* @param id 知识库编号
|
||||
* @return 向量存储实例
|
||||
*/
|
||||
VectorStore getVectorStoreById(Long id);
|
||||
|
||||
}
|
@@ -1,90 +0,0 @@
|
||||
package cn.iocoder.yudao.module.ai.service.knowledge;
|
||||
|
||||
import cn.hutool.core.util.ObjUtil;
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
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.knowledge.vo.knowledge.AiKnowledgeCreateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgePageReqVO;
|
||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeUpdateReqVO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatModelDO;
|
||||
import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeMapper;
|
||||
import cn.iocoder.yudao.module.ai.service.model.AiApiKeyService;
|
||||
import cn.iocoder.yudao.module.ai.service.model.AiChatModelService;
|
||||
import jakarta.annotation.Resource;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.ai.vectorstore.VectorStore;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
|
||||
import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.KNOWLEDGE_NOT_EXISTS;
|
||||
|
||||
/**
|
||||
* AI 知识库-基础信息 Service 实现类
|
||||
*
|
||||
* @author xiaoxin
|
||||
*/
|
||||
@Service
|
||||
@Slf4j
|
||||
public class AiKnowledgeServiceImpl implements AiKnowledgeService {
|
||||
|
||||
@Resource
|
||||
private AiKnowledgeMapper knowledgeMapper;
|
||||
|
||||
@Resource
|
||||
private AiChatModelService chatModelService;
|
||||
@Resource
|
||||
private AiApiKeyService apiKeyService;
|
||||
|
||||
@Override
|
||||
public Long createKnowledge(AiKnowledgeCreateReqVO createReqVO, Long userId) {
|
||||
// 1. 校验模型配置
|
||||
AiChatModelDO model = chatModelService.validateChatModel(createReqVO.getModelId());
|
||||
|
||||
// 2. 插入知识库
|
||||
AiKnowledgeDO knowledgeBase = BeanUtils.toBean(createReqVO, AiKnowledgeDO.class)
|
||||
.setModel(model.getModel()).setUserId(userId).setStatus(CommonStatusEnum.ENABLE.getStatus());
|
||||
knowledgeMapper.insert(knowledgeBase);
|
||||
return knowledgeBase.getId();
|
||||
}
|
||||
|
||||
@Override
|
||||
public void updateKnowledge(AiKnowledgeUpdateReqVO updateReqVO, Long userId) {
|
||||
// 1.1 校验知识库存在
|
||||
AiKnowledgeDO knowledgeBaseDO = validateKnowledgeExists(updateReqVO.getId());
|
||||
if (ObjUtil.notEqual(knowledgeBaseDO.getUserId(), userId)) {
|
||||
throw exception(KNOWLEDGE_NOT_EXISTS);
|
||||
}
|
||||
// 1.2 校验模型配置
|
||||
AiChatModelDO model = chatModelService.validateChatModel(updateReqVO.getModelId());
|
||||
|
||||
// 2. 更新知识库
|
||||
AiKnowledgeDO updateDO = BeanUtils.toBean(updateReqVO, AiKnowledgeDO.class);
|
||||
updateDO.setModel(model.getModel());
|
||||
knowledgeMapper.updateById(updateDO);
|
||||
}
|
||||
|
||||
@Override
|
||||
public AiKnowledgeDO validateKnowledgeExists(Long id) {
|
||||
AiKnowledgeDO knowledgeBase = knowledgeMapper.selectById(id);
|
||||
if (knowledgeBase == null) {
|
||||
throw exception(KNOWLEDGE_NOT_EXISTS);
|
||||
}
|
||||
return knowledgeBase;
|
||||
}
|
||||
|
||||
@Override
|
||||
public PageResult<AiKnowledgeDO> getKnowledgePage(Long userId, AiKnowledgePageReqVO pageReqVO) {
|
||||
return knowledgeMapper.selectPage(userId, pageReqVO);
|
||||
}
|
||||
|
||||
@Override
|
||||
public VectorStore getVectorStoreById(Long id) {
|
||||
AiKnowledgeDO knowledge = validateKnowledgeExists(id);
|
||||
AiChatModelDO model = chatModelService.validateChatModel(knowledge.getModelId());
|
||||
// 创建或获取 VectorStore 对象
|
||||
return apiKeyService.getOrCreateVectorStore(model.getKeyId());
|
||||
}
|
||||
|
||||
}
|
@@ -1,61 +0,0 @@
|
||||
/*
|
||||
* Copyright 2023 - 2024 the original author or authors.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* https://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
package org.springframework.ai.autoconfigure.vectorstore.redis;
|
||||
|
||||
import org.springframework.ai.embedding.EmbeddingModel;
|
||||
import org.springframework.ai.vectorstore.RedisVectorStore;
|
||||
import org.springframework.ai.vectorstore.RedisVectorStore.RedisVectorStoreConfig;
|
||||
import org.springframework.boot.autoconfigure.AutoConfiguration;
|
||||
import org.springframework.boot.autoconfigure.condition.ConditionalOnBean;
|
||||
import org.springframework.boot.autoconfigure.condition.ConditionalOnClass;
|
||||
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
|
||||
import org.springframework.boot.autoconfigure.data.redis.RedisAutoConfiguration;
|
||||
import org.springframework.boot.context.properties.EnableConfigurationProperties;
|
||||
import org.springframework.context.annotation.Bean;
|
||||
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
|
||||
import redis.clients.jedis.JedisPooled;
|
||||
|
||||
/**
|
||||
* TODO @xin 先拿 spring-ai 最新代码覆盖,1.0.0-M1 跟 redis 自动配置会冲突
|
||||
*
|
||||
* TODO 这个官方,有说啥时候 fix 哇?
|
||||
* TODO 看着是列在1.0.0-M2版本
|
||||
*
|
||||
* @author Christian Tzolov
|
||||
* @author Eddú Meléndez
|
||||
*/
|
||||
@AutoConfiguration(after = RedisAutoConfiguration.class)
|
||||
@ConditionalOnClass({JedisPooled.class, JedisConnectionFactory.class, RedisVectorStore.class, EmbeddingModel.class})
|
||||
@ConditionalOnBean(JedisConnectionFactory.class)
|
||||
@EnableConfigurationProperties(RedisVectorStoreProperties.class)
|
||||
public class RedisVectorStoreAutoConfiguration {
|
||||
|
||||
@Bean
|
||||
@ConditionalOnMissingBean
|
||||
public RedisVectorStore vectorStore(EmbeddingModel embeddingModel, RedisVectorStoreProperties properties,
|
||||
JedisConnectionFactory jedisConnectionFactory) {
|
||||
|
||||
var config = RedisVectorStoreConfig.builder()
|
||||
.withIndexName(properties.getIndex())
|
||||
.withPrefix(properties.getPrefix())
|
||||
.build();
|
||||
|
||||
return new RedisVectorStore(config, embeddingModel,
|
||||
new JedisPooled(jedisConnectionFactory.getHostName(), jedisConnectionFactory.getPort()),
|
||||
properties.isInitializeSchema());
|
||||
}
|
||||
|
||||
}
|
@@ -1,456 +0,0 @@
|
||||
/*
|
||||
* Copyright 2023 - 2024 the original author or authors.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* https://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
package org.springframework.ai.vectorstore;
|
||||
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
import org.springframework.ai.document.Document;
|
||||
import org.springframework.ai.embedding.EmbeddingModel;
|
||||
import org.springframework.ai.vectorstore.filter.FilterExpressionConverter;
|
||||
import org.springframework.beans.factory.InitializingBean;
|
||||
import org.springframework.util.Assert;
|
||||
import org.springframework.util.CollectionUtils;
|
||||
import redis.clients.jedis.JedisPooled;
|
||||
import redis.clients.jedis.Pipeline;
|
||||
import redis.clients.jedis.json.Path2;
|
||||
import redis.clients.jedis.search.*;
|
||||
import redis.clients.jedis.search.Schema.FieldType;
|
||||
import redis.clients.jedis.search.schemafields.*;
|
||||
import redis.clients.jedis.search.schemafields.VectorField.VectorAlgorithm;
|
||||
|
||||
import java.text.MessageFormat;
|
||||
import java.util.*;
|
||||
import java.util.function.Function;
|
||||
import java.util.function.Predicate;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
/**
|
||||
* The RedisVectorStore is for managing and querying vector data in a Redis database. It
|
||||
* offers functionalities like adding, deleting, and performing similarity searches on
|
||||
* documents.
|
||||
*
|
||||
* The store utilizes RedisJSON and RedisSearch to handle JSON documents and to index and
|
||||
* search vector data. It supports various vector algorithms (e.g., FLAT, HSNW) for
|
||||
* efficient similarity searches. Additionally, it allows for custom metadata fields in
|
||||
* the documents to be stored alongside the vector and content data.
|
||||
*
|
||||
* This class requires a RedisVectorStoreConfig configuration object for initialization,
|
||||
* which includes settings like Redis URI, index name, field names, and vector algorithms.
|
||||
* It also requires an EmbeddingModel to convert documents into embeddings before storing
|
||||
* them.
|
||||
*
|
||||
* @author Julien Ruaux
|
||||
* @author Christian Tzolov
|
||||
* @author Eddú Meléndez
|
||||
* @see VectorStore
|
||||
* @see RedisVectorStoreConfig
|
||||
* @see EmbeddingModel
|
||||
*/
|
||||
public class RedisVectorStore implements VectorStore, InitializingBean {
|
||||
|
||||
public enum Algorithm {
|
||||
|
||||
FLAT, HSNW
|
||||
|
||||
}
|
||||
|
||||
public record MetadataField(String name, FieldType fieldType) {
|
||||
|
||||
public static MetadataField text(String name) {
|
||||
return new MetadataField(name, FieldType.TEXT);
|
||||
}
|
||||
|
||||
public static MetadataField numeric(String name) {
|
||||
return new MetadataField(name, FieldType.NUMERIC);
|
||||
}
|
||||
|
||||
public static MetadataField tag(String name) {
|
||||
return new MetadataField(name, FieldType.TAG);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
/**
|
||||
* Configuration for the Redis vector store.
|
||||
*/
|
||||
public static final class RedisVectorStoreConfig {
|
||||
|
||||
private final String indexName;
|
||||
|
||||
private final String prefix;
|
||||
|
||||
private final String contentFieldName;
|
||||
|
||||
private final String embeddingFieldName;
|
||||
|
||||
private final Algorithm vectorAlgorithm;
|
||||
|
||||
private final List<MetadataField> metadataFields;
|
||||
|
||||
private RedisVectorStoreConfig() {
|
||||
this(builder());
|
||||
}
|
||||
|
||||
private RedisVectorStoreConfig(Builder builder) {
|
||||
this.indexName = builder.indexName;
|
||||
this.prefix = builder.prefix;
|
||||
this.contentFieldName = builder.contentFieldName;
|
||||
this.embeddingFieldName = builder.embeddingFieldName;
|
||||
this.vectorAlgorithm = builder.vectorAlgorithm;
|
||||
this.metadataFields = builder.metadataFields;
|
||||
}
|
||||
|
||||
/**
|
||||
* Start building a new configuration.
|
||||
* @return The entry point for creating a new configuration.
|
||||
*/
|
||||
public static Builder builder() {
|
||||
|
||||
return new Builder();
|
||||
}
|
||||
|
||||
/**
|
||||
* {@return the default config}
|
||||
*/
|
||||
public static RedisVectorStoreConfig defaultConfig() {
|
||||
|
||||
return builder().build();
|
||||
}
|
||||
|
||||
public static class Builder {
|
||||
|
||||
private String indexName = DEFAULT_INDEX_NAME;
|
||||
|
||||
private String prefix = DEFAULT_PREFIX;
|
||||
|
||||
private String contentFieldName = DEFAULT_CONTENT_FIELD_NAME;
|
||||
|
||||
private String embeddingFieldName = DEFAULT_EMBEDDING_FIELD_NAME;
|
||||
|
||||
private Algorithm vectorAlgorithm = DEFAULT_VECTOR_ALGORITHM;
|
||||
|
||||
private List<MetadataField> metadataFields = new ArrayList<>();
|
||||
|
||||
private Builder() {
|
||||
}
|
||||
|
||||
/**
|
||||
* Configures the Redis index name to use.
|
||||
* @param name the index name to use
|
||||
* @return this builder
|
||||
*/
|
||||
public Builder withIndexName(String name) {
|
||||
this.indexName = name;
|
||||
return this;
|
||||
}
|
||||
|
||||
/**
|
||||
* Configures the Redis key prefix to use (default: "embedding:").
|
||||
* @param prefix the prefix to use
|
||||
* @return this builder
|
||||
*/
|
||||
public Builder withPrefix(String prefix) {
|
||||
this.prefix = prefix;
|
||||
return this;
|
||||
}
|
||||
|
||||
/**
|
||||
* Configures the Redis content field name to use.
|
||||
* @param name the content field name to use
|
||||
* @return this builder
|
||||
*/
|
||||
public Builder withContentFieldName(String name) {
|
||||
this.contentFieldName = name;
|
||||
return this;
|
||||
}
|
||||
|
||||
/**
|
||||
* Configures the Redis embedding field name to use.
|
||||
* @param name the embedding field name to use
|
||||
* @return this builder
|
||||
*/
|
||||
public Builder withEmbeddingFieldName(String name) {
|
||||
this.embeddingFieldName = name;
|
||||
return this;
|
||||
}
|
||||
|
||||
/**
|
||||
* Configures the Redis vector algorithmto use.
|
||||
* @param algorithm the vector algorithm to use
|
||||
* @return this builder
|
||||
*/
|
||||
public Builder withVectorAlgorithm(Algorithm algorithm) {
|
||||
this.vectorAlgorithm = algorithm;
|
||||
return this;
|
||||
}
|
||||
|
||||
public Builder withMetadataFields(MetadataField... fields) {
|
||||
return withMetadataFields(Arrays.asList(fields));
|
||||
}
|
||||
|
||||
public Builder withMetadataFields(List<MetadataField> fields) {
|
||||
this.metadataFields = fields;
|
||||
return this;
|
||||
}
|
||||
|
||||
/**
|
||||
* {@return the immutable configuration}
|
||||
*/
|
||||
public RedisVectorStoreConfig build() {
|
||||
|
||||
return new RedisVectorStoreConfig(this);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private final boolean initializeSchema;
|
||||
|
||||
public static final String DEFAULT_INDEX_NAME = "spring-ai-index";
|
||||
|
||||
public static final String DEFAULT_CONTENT_FIELD_NAME = "content";
|
||||
|
||||
public static final String DEFAULT_EMBEDDING_FIELD_NAME = "embedding";
|
||||
|
||||
public static final String DEFAULT_PREFIX = "embedding:";
|
||||
|
||||
public static final Algorithm DEFAULT_VECTOR_ALGORITHM = Algorithm.HSNW;
|
||||
|
||||
private static final String QUERY_FORMAT = "%s=>[KNN %s @%s $%s AS %s]";
|
||||
|
||||
private static final Path2 JSON_SET_PATH = Path2.of("$");
|
||||
|
||||
private static final String JSON_PATH_PREFIX = "$.";
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(RedisVectorStore.class);
|
||||
|
||||
private static final Predicate<Object> RESPONSE_OK = Predicate.isEqual("OK");
|
||||
|
||||
private static final Predicate<Object> RESPONSE_DEL_OK = Predicate.isEqual(1l);
|
||||
|
||||
private static final String VECTOR_TYPE_FLOAT32 = "FLOAT32";
|
||||
|
||||
private static final String EMBEDDING_PARAM_NAME = "BLOB";
|
||||
|
||||
public static final String DISTANCE_FIELD_NAME = "vector_score";
|
||||
|
||||
private static final String DEFAULT_DISTANCE_METRIC = "COSINE";
|
||||
|
||||
private final JedisPooled jedis;
|
||||
|
||||
private final EmbeddingModel embeddingModel;
|
||||
|
||||
private final RedisVectorStoreConfig config;
|
||||
|
||||
private FilterExpressionConverter filterExpressionConverter;
|
||||
|
||||
public RedisVectorStore(RedisVectorStoreConfig config, EmbeddingModel embeddingModel, JedisPooled jedis,
|
||||
boolean initializeSchema) {
|
||||
|
||||
Assert.notNull(config, "Config must not be null");
|
||||
Assert.notNull(embeddingModel, "Embedding model must not be null");
|
||||
this.initializeSchema = initializeSchema;
|
||||
|
||||
this.jedis = jedis;
|
||||
this.embeddingModel = embeddingModel;
|
||||
this.config = config;
|
||||
this.filterExpressionConverter = new RedisFilterExpressionConverter(this.config.metadataFields);
|
||||
}
|
||||
|
||||
public JedisPooled getJedis() {
|
||||
return this.jedis;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void add(List<Document> documents) {
|
||||
try (Pipeline pipeline = this.jedis.pipelined()) {
|
||||
for (Document document : documents) {
|
||||
var embedding = this.embeddingModel.embed(document);
|
||||
document.setEmbedding(embedding);
|
||||
|
||||
var fields = new HashMap<String, Object>();
|
||||
fields.put(this.config.embeddingFieldName, embedding);
|
||||
fields.put(this.config.contentFieldName, document.getContent());
|
||||
fields.putAll(document.getMetadata());
|
||||
pipeline.jsonSetWithEscape(key(document.getId()), JSON_SET_PATH, fields);
|
||||
}
|
||||
List<Object> responses = pipeline.syncAndReturnAll();
|
||||
Optional<Object> errResponse = responses.stream().filter(Predicate.not(RESPONSE_OK)).findAny();
|
||||
if (errResponse.isPresent()) {
|
||||
String message = MessageFormat.format("Could not add document: {0}", errResponse.get());
|
||||
if (logger.isErrorEnabled()) {
|
||||
logger.error(message);
|
||||
}
|
||||
throw new RuntimeException(message);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private String key(String id) {
|
||||
return this.config.prefix + id;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Optional<Boolean> delete(List<String> idList) {
|
||||
try (Pipeline pipeline = this.jedis.pipelined()) {
|
||||
for (String id : idList) {
|
||||
pipeline.jsonDel(key(id));
|
||||
}
|
||||
List<Object> responses = pipeline.syncAndReturnAll();
|
||||
Optional<Object> errResponse = responses.stream().filter(Predicate.not(RESPONSE_DEL_OK)).findAny();
|
||||
if (errResponse.isPresent()) {
|
||||
if (logger.isErrorEnabled()) {
|
||||
logger.error("Could not delete document: {}", errResponse.get());
|
||||
}
|
||||
return Optional.of(false);
|
||||
}
|
||||
return Optional.of(true);
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<Document> similaritySearch(SearchRequest request) {
|
||||
|
||||
Assert.isTrue(request.getTopK() > 0, "The number of documents to returned must be greater than zero");
|
||||
Assert.isTrue(request.getSimilarityThreshold() >= 0 && request.getSimilarityThreshold() <= 1,
|
||||
"The similarity score is bounded between 0 and 1; least to most similar respectively.");
|
||||
|
||||
String filter = nativeExpressionFilter(request);
|
||||
|
||||
String queryString = String.format(QUERY_FORMAT, filter, request.getTopK(), this.config.embeddingFieldName,
|
||||
EMBEDDING_PARAM_NAME, DISTANCE_FIELD_NAME);
|
||||
|
||||
List<String> returnFields = new ArrayList<>();
|
||||
this.config.metadataFields.stream().map(MetadataField::name).forEach(returnFields::add);
|
||||
returnFields.add(this.config.embeddingFieldName);
|
||||
returnFields.add(this.config.contentFieldName);
|
||||
returnFields.add(DISTANCE_FIELD_NAME);
|
||||
var embedding = toFloatArray(this.embeddingModel.embed(request.getQuery()));
|
||||
Query query = new Query(queryString).addParam(EMBEDDING_PARAM_NAME, RediSearchUtil.toByteArray(embedding))
|
||||
.returnFields(returnFields.toArray(new String[0]))
|
||||
.setSortBy(DISTANCE_FIELD_NAME, true)
|
||||
.dialect(2);
|
||||
|
||||
SearchResult result = this.jedis.ftSearch(this.config.indexName, query);
|
||||
return result.getDocuments()
|
||||
.stream()
|
||||
.filter(d -> similarityScore(d) >= request.getSimilarityThreshold())
|
||||
.map(this::toDocument)
|
||||
.toList();
|
||||
}
|
||||
|
||||
private Document toDocument(redis.clients.jedis.search.Document doc) {
|
||||
var id = doc.getId().substring(this.config.prefix.length());
|
||||
var content = doc.hasProperty(this.config.contentFieldName) ? doc.getString(this.config.contentFieldName)
|
||||
: null;
|
||||
Map<String, Object> metadata = this.config.metadataFields.stream()
|
||||
.map(MetadataField::name)
|
||||
.filter(doc::hasProperty)
|
||||
.collect(Collectors.toMap(Function.identity(), doc::getString));
|
||||
metadata.put(DISTANCE_FIELD_NAME, 1 - similarityScore(doc));
|
||||
return new Document(id, content, metadata);
|
||||
}
|
||||
|
||||
private float similarityScore(redis.clients.jedis.search.Document doc) {
|
||||
return (2 - Float.parseFloat(doc.getString(DISTANCE_FIELD_NAME))) / 2;
|
||||
}
|
||||
|
||||
private String nativeExpressionFilter(SearchRequest request) {
|
||||
if (request.getFilterExpression() == null) {
|
||||
return "*";
|
||||
}
|
||||
return "(" + this.filterExpressionConverter.convertExpression(request.getFilterExpression()) + ")";
|
||||
}
|
||||
|
||||
@Override
|
||||
public void afterPropertiesSet() {
|
||||
|
||||
if (!this.initializeSchema) {
|
||||
return;
|
||||
}
|
||||
|
||||
// If index already exists don't do anything
|
||||
if (this.jedis.ftList().contains(this.config.indexName)) {
|
||||
return;
|
||||
}
|
||||
|
||||
String response = this.jedis.ftCreate(this.config.indexName,
|
||||
FTCreateParams.createParams().on(IndexDataType.JSON).addPrefix(this.config.prefix), schemaFields());
|
||||
if (!RESPONSE_OK.test(response)) {
|
||||
String message = MessageFormat.format("Could not create index: {0}", response);
|
||||
throw new RuntimeException(message);
|
||||
}
|
||||
}
|
||||
|
||||
private Iterable<SchemaField> schemaFields() {
|
||||
Map<String, Object> vectorAttrs = new HashMap<>();
|
||||
vectorAttrs.put("DIM", this.embeddingModel.dimensions());
|
||||
vectorAttrs.put("DISTANCE_METRIC", DEFAULT_DISTANCE_METRIC);
|
||||
vectorAttrs.put("TYPE", VECTOR_TYPE_FLOAT32);
|
||||
List<SchemaField> fields = new ArrayList<>();
|
||||
fields.add(TextField.of(jsonPath(this.config.contentFieldName)).as(this.config.contentFieldName).weight(1.0));
|
||||
fields.add(VectorField.builder()
|
||||
.fieldName(jsonPath(this.config.embeddingFieldName))
|
||||
.algorithm(vectorAlgorithm())
|
||||
.attributes(vectorAttrs)
|
||||
.as(this.config.embeddingFieldName)
|
||||
.build());
|
||||
|
||||
if (!CollectionUtils.isEmpty(this.config.metadataFields)) {
|
||||
for (MetadataField field : this.config.metadataFields) {
|
||||
fields.add(schemaField(field));
|
||||
}
|
||||
}
|
||||
return fields;
|
||||
}
|
||||
|
||||
private SchemaField schemaField(MetadataField field) {
|
||||
String fieldName = jsonPath(field.name);
|
||||
switch (field.fieldType) {
|
||||
case NUMERIC:
|
||||
return NumericField.of(fieldName).as(field.name);
|
||||
case TAG:
|
||||
return TagField.of(fieldName).as(field.name);
|
||||
case TEXT:
|
||||
return TextField.of(fieldName).as(field.name);
|
||||
default:
|
||||
throw new IllegalArgumentException(
|
||||
MessageFormat.format("Field {0} has unsupported type {1}", field.name, field.fieldType));
|
||||
}
|
||||
}
|
||||
|
||||
private VectorAlgorithm vectorAlgorithm() {
|
||||
if (config.vectorAlgorithm == Algorithm.HSNW) {
|
||||
return VectorAlgorithm.HNSW;
|
||||
}
|
||||
return VectorAlgorithm.FLAT;
|
||||
}
|
||||
|
||||
private String jsonPath(String field) {
|
||||
return JSON_PATH_PREFIX + field;
|
||||
}
|
||||
|
||||
private static float[] toFloatArray(List<Double> embeddingDouble) {
|
||||
float[] embeddingFloat = new float[embeddingDouble.size()];
|
||||
int i = 0;
|
||||
for (Double d : embeddingDouble) {
|
||||
embeddingFloat[i++] = d.floatValue();
|
||||
}
|
||||
return embeddingFloat;
|
||||
}
|
||||
|
||||
}
|
@@ -1,70 +0,0 @@
|
||||
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();
|
||||
}
|
||||
|
||||
}
|
Reference in New Issue
Block a user