chore: 更新百炼模型配置的API密钥

将开发环境和本地环境的百炼模型配置中的API密钥统一更新为占位符'sk-xxxx'

ruoyi-admin/src/main/resources/application-dev.yml

@@ -101,4 +101,7 @@ pdf:
     ai-api:
       url: https://api.pandarobot.chat/v1/chat/completions
       key: sk-xxxx
-
+#百炼模型配置
+dashscope:
+  key: sk-xxxx
+  model: qvq-max

ruoyi-admin/src/main/resources/application-local.yml

@@ -0,0 +1,111 @@
+--- # 监控中心配置
+spring.boot.admin.client:
+  # 增加客户端开关
+  enabled: false
+  url: http://localhost:9090/admin
+  instance:
+    service-host-type: IP
+  username: ruoyi
+  password: 123456
+
+--- # 数据源配置
+spring:
+  datasource:
+    type: com.zaxxer.hikari.HikariDataSource
+    # 动态数据源文档 https://www.kancloud.cn/tracy5546/dynamic-datasource/content
+    dynamic:
+      # 性能分析插件(有性能损耗 不建议生产环境使用)
+      p6spy: true
+      # 设置默认的数据源或者数据源组,默认值即为 master
+      primary: master
+      # 严格模式 匹配不到数据源则报错
+      strict: true
+      datasource:
+        # 主库数据源
+        master:
+          type: ${spring.datasource.type}
+          driverClassName: com.mysql.cj.jdbc.Driver
+          url: jdbc:mysql://localhost:3306/ruoyi-ai?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8&autoReconnect=true&rewriteBatchedStatements=true
+          username: root
+          password: root
+
+
+      hikari:
+        # 最大连接池数量
+        maxPoolSize: 20
+        # 最小空闲线程数量
+        minIdle: 10
+        # 配置获取连接等待超时的时间
+        connectionTimeout: 30000
+        # 校验超时时间
+        validationTimeout: 5000
+        # 空闲连接存活最大时间，默认10分钟
+        idleTimeout: 600000
+        # 此属性控制池中连接的最长生命周期，值0表示无限生命周期，默认30分钟
+        maxLifetime: 1800000
+        # 连接测试query（配置检测连接是否有效）
+        connectionTestQuery: SELECT 1
+        # 多久检查一次连接的活性
+        keepaliveTime: 30000
+
+--- # redis 单机配置(单机与集群只能开启一个另一个需要注释掉)
+spring.data:
+  redis:
+    # 地址
+    host: 127.0.0.1
+    # 端口，默认为6379
+    port: 6379
+    # 数据库索引
+    database: 0
+    # 密码(如没有密码请注释掉)
+    password: root
+    # 连接超时时间
+    timeout: 10S
+    # 是否开启ssl
+    ssl: false
+
+redisson:
+  # redis key前缀
+  keyPrefix:
+  # 线程池数量
+  threads: 4
+  # Netty线程池数量
+  nettyThreads: 8
+  # 单节点配置
+  singleServerConfig:
+    # 客户端名称
+    clientName: ${ruoyi.name}
+    # 最小空闲连接数
+    connectionMinimumIdleSize: 8
+    # 连接池大小
+    connectionPoolSize: 32
+    # 连接空闲超时，单位：毫秒
+    idleConnectionTimeout: 10000
+    # 命令等待超时，单位：毫秒
+    timeout: 3000
+    # 发布和订阅连接池大小
+    subscriptionConnectionPoolSize: 50
+
+--- # sms 短信
+sms:
+  enabled: false
+  # 阿里云 dysmsapi.aliyuncs.com
+  # 腾讯云 sms.tencentcloudapi.com
+  endpoint: "dysmsapi.aliyuncs.com"
+  accessKeyId: xxxxxxx
+  accessKeySecret: xxxxxx
+  signName: 测试
+  # 腾讯专用
+  sdkAppId:
+
+pdf:
+  extract:
+    service:
+      url: http://localhost:8080
+    ai-api:
+      url: https://api.pandarobot.chat/v1/chat/completions
+      key: sk-xxxx
+#百炼模型配置
+dashscope:
+  key: sk-xxxx
+  model: qvq-max

ruoyi-admin/src/main/resources/application-prod.yml

@@ -180,3 +180,7 @@ pdf:
     ai-api:
       url: https://api.pandarobot.chat/v1/chat/completions
       key: sk-XXXXXX
+#百炼模型配置
+dashscope:
+  key: sk-XXXX
+  model: qvq-max

ruoyi-modules-api/ruoyi-knowledge-api/pom.xml

@@ -119,6 +119,12 @@
         <artifactId>ruoyi-system-api</artifactId>
       </dependency>
 
+      <dependency>
+        <groupId>com.alibaba</groupId>
+        <artifactId>dashscope-sdk-java</artifactId>
+        <version>2.19.0</version>
+      </dependency>
+
     </dependencies>
 
 </project>

ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/DashscopeService.java

@@ -0,0 +1,23 @@
+package org.ruoyi.service;
+
+import java.io.IOException;
+
+/**
+ * @Description: 阿里百炼api
+ * @Date: 2025/6/4 下午2:24
+ */
+public interface DashscopeService {
+
+  /**
+   * 视觉推理（QVQ）
+   * @param imageUrl 图片可访问的地址
+   * @return
+   */
+  String qvq(String imageUrl) throws IOException;
+  /**
+   * 视觉推理（QVQ）  使用本地文件（输入Base64编码或本地路径）
+   * @param localPath  图片文件的绝对路径
+   * @return
+   */
+  String qvq4LocalPath(String localPath) throws IOException;
+}

ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/PdfImageExtractService.java

@@ -30,7 +30,23 @@ public interface PdfImageExtractService {
    * @throws IOException 如果API调用过程中发生错误
    */
   List<PdfFileContentResult> dealFileContent(String[] unzip) throws IOException;
+  /**
+   *利用百炼接口处理文件内容
+   *
+   * @param imageUrl 传入图片地址
+   * @return 文件内容结果列表
+   * @throws IOException 如果API调用过程中发生错误
+   */
+  List<PdfFileContentResult> dealFileContent4Dashscope(String imageUrl) throws IOException;
 
+  /**
+   * 利用百炼接口处理文件内容
+   *
+   * 视觉推理（QVQ）  使用本地文件（输入Base64编码或本地路径）
+   * @param localPath  图片文件的绝对路径
+   * @return
+   */
+  List<PdfFileContentResult> dealFileContent4DashscopeBase64(String localPath)throws IOException;
   /**
    * 提取PDF中的图片并调用gpt-4o-mini,识别图片内容并返回
    * @param file

ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/impl/DashscopeServiceImpl.java

@@ -0,0 +1,149 @@
+package org.ruoyi.service.impl;
+
+import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
+import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
+import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
+import com.alibaba.dashscope.common.MultiModalMessage;
+import com.alibaba.dashscope.common.Role;
+import io.reactivex.Flowable;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import lombok.extern.slf4j.Slf4j;
+import org.ruoyi.domain.PdfFileContentResult;
+import org.ruoyi.service.DashscopeService;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.stereotype.Service;
+
+/**
+ * @Description: 阿里百炼API
+ * @Date: 2025/6/4 下午2:28
+ */
+@Service
+@Slf4j
+public class DashscopeServiceImpl implements DashscopeService {
+
+  private static StringBuilder reasoningContent = new StringBuilder();
+  private static StringBuilder finalContent = new StringBuilder();
+  private static boolean isFirstPrint = true;
+
+  @Value("${dashscope.model}")
+  private String serviceModel;
+  @Value("${dashscope.key}")
+  private String serviceKey;
+
+  /**
+   * 视觉推理（QVQ）
+   * @param imageUrl  图片可访问地址
+   * @return
+   */
+  @Override
+  public String qvq(String imageUrl) throws IOException {
+    try {
+      // 构建多模态消息
+      MultiModalMessage userMessage = MultiModalMessage.builder()
+          .role(Role.USER.getValue())
+          .content(Arrays.asList(
+              Collections.singletonMap("text", "这张图片有什么"),
+              Collections.singletonMap("image", imageUrl)
+          ))
+          .build();
+
+      // 构建请求参数
+      MultiModalConversationParam param = MultiModalConversationParam.builder()
+          .apiKey(serviceKey) // 使用配置文件中的API Key
+          .model(serviceModel)
+          .message(userMessage)
+          .build();
+
+      MultiModalConversation conv = new MultiModalConversation();
+
+      // 调用API
+      Flowable<MultiModalConversationResult> result = conv.streamCall(
+          param);
+
+      reasoningContent = new StringBuilder();
+      finalContent = new StringBuilder();
+      isFirstPrint = true;
+
+      result.blockingForEach(DashscopeServiceImpl::handleGenerationResult);
+
+      return finalContent.toString().replaceAll("[\n\r\s]", "");
+    } catch (Exception e) {
+      log.error("调用百炼API失败: {}", e.getMessage(), e);
+      throw new IOException("百炼API调用失败: " + e.getMessage(), e);
+    }
+  }
+  /**
+   * 视觉推理（QVQ）  使用本地文件（输入Base64编码或本地路径）
+   * @param localPath  图片文件的绝对路径
+   * @return
+   */
+  @Override
+  public String qvq4LocalPath(String localPath) throws IOException {
+    try {
+      // 构建多模态消息
+     String filePath = "file://"+ localPath;
+     log.info("filePath: {}", filePath);
+      MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
+          .content(Arrays.asList(new HashMap<String, Object>(){{put("image", filePath);}},
+              new HashMap<String, Object>(){{put("text", "这张图片有什么");}})).build();
+
+      // 构建请求参数
+      MultiModalConversationParam param = MultiModalConversationParam.builder()
+          .apiKey(serviceKey) // 使用配置文件中的API Key
+          .model(serviceModel)
+          .message(userMessage)
+          .build();
+      MultiModalConversation conv = new MultiModalConversation();
+
+      // 调用API
+      Flowable<MultiModalConversationResult> result = conv.streamCall(
+          param);
+
+      reasoningContent = new StringBuilder();
+      finalContent = new StringBuilder();
+      isFirstPrint = true;
+
+      result.blockingForEach(DashscopeServiceImpl::handleGenerationResult);
+
+      return finalContent.toString().replaceAll("[\n\r\s]", "");
+    } catch (Exception e) {
+      log.error("调用百炼API失败: {}", e.getMessage(), e);
+      throw new IOException("百炼API调用失败: " + e.getMessage(), e);
+    }
+  }
+
+
+  private static void handleGenerationResult(MultiModalConversationResult message) {
+
+    String re = message.getOutput().getChoices().get(0).getMessage().getReasoningContent();
+    String reasoning = Objects.isNull(re) ? "" : re; // 默认值
+
+    List<Map<String, Object>> content = message.getOutput().getChoices().get(0).getMessage()
+        .getContent();
+    if (!reasoning.isEmpty()) {
+      reasoningContent.append(reasoning);
+      if (isFirstPrint) {
+        System.out.println("====================思考过程====================");
+        isFirstPrint = false;
+      }
+      System.out.print(reasoning);
+    }
+
+    if (Objects.nonNull(content) && !content.isEmpty()) {
+      Object text = content.get(0).get("text");
+      finalContent.append(text);
+      if (!isFirstPrint) {
+        System.out.println("\n====================完整回复====================");
+        isFirstPrint = true;
+      }
+      System.out.print(text);
+    }
+  }
+}

ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/impl/PdfImageExtractServiceImpl.java

@@ -4,7 +4,6 @@ import java.io.IOException;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.TimeUnit;
-import lombok.AllArgsConstructor;
 import lombok.Data;
 import lombok.extern.slf4j.Slf4j;
 import okhttp3.MediaType;
@@ -14,10 +13,11 @@ import okhttp3.OkHttpClient.Builder;
 import okhttp3.Request;
 import okhttp3.RequestBody;
 import okhttp3.Response;
-import org.ruoyi.common.core.domain.R;
 import org.ruoyi.domain.PdfFileContentResult;
+import org.ruoyi.service.DashscopeService;
 import org.ruoyi.service.PdfImageExtractService;
 import org.ruoyi.utils.ZipUtils;
+import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Service;
 import org.springframework.web.multipart.MultipartFile;
@@ -25,20 +25,21 @@ import org.springframework.web.multipart.MultipartFile;
 /**
  * PDF图片提取服务实现类
  */
-//@Service
+@Service
 @Slf4j
 @Data
-@AllArgsConstructor
+public class PdfImageExtractServiceImpl implements PdfImageExtractService {
-//public class PdfImageExtractServiceImpl implements PdfImageExtractService {
-public class PdfImageExtractServiceImpl  {
 
-//  @Value("${pdf.extract.service.url}")
+  @Value("${pdf.extract.service.url}")
   private String serviceUrl;
-//  @Value("${pdf.extract.ai-api.url}")
+  @Value("${pdf.extract.ai-api.url}")
   private String aiApiUrl;
-//  @Value("${pdf.extract.ai-api.key}")
+  @Value("${pdf.extract.ai-api.key}")
   private String aiApiKey;
 
+  @Autowired
+  private DashscopeService dashscopeService;
+
   private final OkHttpClient client = new Builder()
       .connectTimeout(100, TimeUnit.SECONDS)
       .readTimeout(150, TimeUnit.SECONDS)
@@ -135,6 +136,42 @@ public class PdfImageExtractServiceImpl  {
     return results;
   }
 
+  /**
+   * 利用百炼接口处理文件内容
+   *
+   * @param imageUrl 传入图片地址
+   * @return 文件内容结果列表
+   * @throws IOException 如果API调用过程中发生错误
+   */
+  @Override
+  public List<PdfFileContentResult> dealFileContent4Dashscope(String imageUrl) throws IOException {
+    String qvq = dashscopeService.qvq(imageUrl);
+    // 构建结果列表
+    List<PdfFileContentResult> results = new ArrayList<>();
+    String filename = "image_" + System.currentTimeMillis();
+    results.add(new PdfFileContentResult(filename, qvq));
+    return results;
+  }
+
+  /**
+   * 利用百炼接口处理文件内容
+   *
+   * 视觉推理（QVQ）  使用本地文件（输入Base64编码或本地路径）
+   * @param localPath  图片文件的绝对路径
+   * @return
+   */
+  @Override
+  public List<PdfFileContentResult> dealFileContent4DashscopeBase64(String localPath) throws IOException {
+    String qvq = dashscopeService.qvq4LocalPath(localPath);
+    // 构建结果列表
+    List<PdfFileContentResult> results = new ArrayList<>();
+    String filename = "image_" + System.currentTimeMillis();
+    results.add(new PdfFileContentResult(filename, qvq));
+    return results;
+  }
+
+
+
   //  @Override
   public List<PdfFileContentResult> extractImages(MultipartFile file) throws IOException {
     String format = "png";

ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/impl/VectorStoreServiceImpl.java

@@ -1,13 +1,11 @@
 package org.ruoyi.service.impl;
 
-import cn.hutool.core.util.RandomUtil;
 import com.google.protobuf.ServiceException;
 import dev.langchain4j.data.embedding.Embedding;
 import dev.langchain4j.data.segment.TextSegment;
 import dev.langchain4j.model.embedding.EmbeddingModel;
 import dev.langchain4j.model.ollama.OllamaEmbeddingModel;
 import dev.langchain4j.model.openai.OpenAiEmbeddingModel;
-import dev.langchain4j.model.output.Response;
 import dev.langchain4j.store.embedding.EmbeddingMatch;
 import dev.langchain4j.store.embedding.EmbeddingSearchRequest;
 import dev.langchain4j.store.embedding.EmbeddingStore;
@@ -31,6 +29,7 @@ import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
+import java.util.stream.Collectors;
 
 /**
  * 向量库管理

ruoyi-modules-api/ruoyi-system-api/src/main/java/org/ruoyi/system/service/ISysOssService.java

@@ -32,6 +32,15 @@ public interface ISysOssService {
 
   String downloadByByte(Long ossId) throws IOException;
 
+  String downloadToTempPath(Long ossId) throws IOException;
+
   Boolean deleteWithValidByIds(Collection<Long> ids, Boolean isValid);
 
+  /**
+   * 根据文件路径删除文件
+   *
+   * @param filePath 文件路径
+   * @return 是否删除成功
+   */
+  boolean deleteFile(String filePath);
 }

ruoyi-modules-api/ruoyi-system-api/src/main/java/org/ruoyi/system/service/impl/SysOssServiceImpl.java

@@ -213,4 +213,48 @@ public class SysOssServiceImpl implements ISysOssService, OssService {
     }
     return oss;
   }
+  @Override
+  public String downloadToTempPath(Long ossId) throws IOException {
+    SysOssVo sysOss = SpringUtils.getAopProxy(this).getById(ossId);
+    if (ObjectUtil.isNull(sysOss)) {
+      throw new ServiceException("文件数据不存在!");
+    }
+
+    OssClient storage = OssFactory.instance();
+    try (InputStream inputStream = storage.getObjectContent(sysOss.getUrl())) {
+      // 创建临时文件
+      String suffix = StringUtils.isNotEmpty(sysOss.getFileSuffix()) ? sysOss.getFileSuffix() : "";
+      java.io.File tempFile = java.io.File.createTempFile("download_", suffix);
+      // 确保临时文件在JVM退出时删除
+      tempFile.deleteOnExit();
+      // 将输入流内容写入临时文件
+      cn.hutool.core.io.FileUtil.writeFromStream(inputStream, tempFile);
+      // 返回临时文件的绝对路径
+      return tempFile.getAbsolutePath();
+    } catch (Exception e) {
+      throw new ServiceException(e.getMessage());
+    }
+  }
+  /**
+   * 根据文件路径删除文件
+   *
+   * @param filePath 文件路径
+   * @return 是否删除成功
+   */
+  @Override
+  public boolean deleteFile(String filePath) {
+    if (StringUtils.isEmpty(filePath)) {
+      return false;
+    }
+    
+    try {
+      java.io.File file = new java.io.File(filePath);
+      if (file.exists() && file.isFile()) {
+        return file.delete();
+      }
+      return false;
+    } catch (Exception e) {
+      throw new ServiceException("删除文件失败: " + e.getMessage());
+    }
+  }
 }

ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/controller/knowledge/KnowledgeController.java

@@ -52,7 +52,7 @@ public class KnowledgeController extends BaseController {
 
   private final IKnowledgeFragmentService fragmentService;
 
-//  private final PdfImageExtractService pdfImageExtractService;
+  private final PdfImageExtractService pdfImageExtractService;
 
   /**
    * 根据用户信息查询本地知识库
@@ -170,11 +170,11 @@ public class KnowledgeController extends BaseController {
    * @param file PDF文件
    * @return 文件名称和图片内容
    */
-//  @PostMapping("/extract-images")
+  @PostMapping("/extract-images")
-//  @Operation(summary = "提取PDF中的图片并调用大模型,识别图片内容并返回", description = "提取PDF中的图片并调用gpt-4o-mini,识别图片内容并返回")
+  @Operation(summary = "提取PDF中的图片并调用大模型,识别图片内容并返回", description = "提取PDF中的图片并调用gpt-4o-mini,识别图片内容并返回")
-//  public R<List<PdfFileContentResult>> extractImages(
+  public R<List<PdfFileContentResult>> extractImages(
-//      @RequestPart("file") MultipartFile file
+  ) throws IOException {
-//  ) throws IOException {
+    return R.ok(pdfImageExtractService
-//    return R.ok(pdfImageExtractService.extractImages(file));
+        .dealFileContent4Dashscope("https://hnzuoran02-1327573163.cos.ap-nanjing.myqcloud.com/crmebimage/public/content/2025/06/04/e115264eb22f423ea0b211709361c29f071avy39ez.jpg"));
-//  }
+  }
 }

ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/knowledge/DealFileService.java

@@ -26,6 +26,7 @@ import org.ruoyi.mapper.KnowledgeAttachPicMapper;
 import org.ruoyi.mapper.KnowledgeFragmentMapper;
 import org.ruoyi.mapper.KnowledgeInfoMapper;
 import org.ruoyi.service.IChatModelService;
+import org.ruoyi.service.PdfImageExtractService;
 import org.ruoyi.service.VectorStoreService;
 import org.ruoyi.service.impl.PdfImageExtractServiceImpl;
 import org.ruoyi.system.domain.vo.SysOssVo;
@@ -64,18 +65,10 @@ public class DealFileService {
 
   private final ISysOssService ossService;
 
-//  private final PdfImageExtractService pdfImageExtractService;
+  private final PdfImageExtractService pdfImageExtractService;
 
   private final KnowledgeAttachPicMapper picMapper;
 
-  @Value("${pdf.extract.service.url}")
-  private String serviceUrl;
-  @Value("${pdf.extract.ai-api.url}")
-  private String aiApiUrl;
-  @Value("${pdf.extract.ai-api.key}")
-  private String aiApiKey;
-
-
   @Async
   public void dealVectorStatus(KnowledgeAttach attachItem) throws Exception {
     try {
@@ -169,8 +162,6 @@ public class DealFileService {
       //获取oss文件
       MultipartFile multipartFile = ossService.downloadByFile(attachItem.getOssId());
       //拆解出图片ZIP
-      PdfImageExtractServiceImpl pdfImageExtractService = new PdfImageExtractServiceImpl(serviceUrl,
-          aiApiUrl, aiApiKey);
       byte[] pngs = pdfImageExtractService.extractImages(multipartFile, "png", true);
       //解压zip，得到图片文件
       MultipartFile[] multipartFiles = ZipUtils.unzipToMultipartFiles(pngs);
@@ -236,6 +227,7 @@ public class DealFileService {
 
   @Async
   public void dealPicAnysStatus(KnowledgeAttachPic picItem) throws Exception {
+    String filePath = null;
     try {
       //锁定数据 更改 getPicAnysStatus 到进行中
       if (picMapper.update(new LambdaUpdateWrapper<KnowledgeAttachPic>()
@@ -247,13 +239,10 @@ public class DealFileService {
       }
       SysOssVo ossVo = ossService.getById(picItem.getOssId());
       if (ObjectUtil.isNotEmpty(ossVo)) {
-        String fileStr = ossService.downloadByByte(picItem.getOssId());
+        filePath = ossService.downloadToTempPath(picItem.getOssId());
         //调用第三方 分析图片内容
-        PdfImageExtractServiceImpl pdfImageExtractService = new PdfImageExtractServiceImpl(
+        List<PdfFileContentResult> pdfFileContentResults = pdfImageExtractService.dealFileContent4DashscopeBase64(
-            serviceUrl,
+          filePath);
-            aiApiUrl, aiApiKey);
-        List<PdfFileContentResult> pdfFileContentResults = pdfImageExtractService.dealFileContent(
-            new String[]{fileStr});
         if (ObjectUtil.isNotEmpty(pdfFileContentResults)) {
           for (PdfFileContentResult resultItem : pdfFileContentResults) {
             //图片解析内容回写到pic表
@@ -302,6 +291,11 @@ public class DealFileService {
           .eq(KnowledgeAttachPic::getPicAnysStatus, DealStatus.STATUS_20)
           .eq(KnowledgeAttachPic::getId, picItem.getId()));
       throw new RuntimeException(e);
+    } finally {
+      //无论成功还是失败，都要删除临时文件
+      if (ObjectUtil.isNotEmpty(filePath)) {
+        ossService.deleteFile(filePath);
+      }
     }
   }
 
@@ -349,35 +343,32 @@ public class DealFileService {
     return null;
   }
 
-  public static String parseContent(String jsonString) {
+  public static String parseContent(String content) {
     try {
-      // 创建ObjectMapper实例
+      // 首先尝试作为JSON解析
       ObjectMapper objectMapper = new ObjectMapper();
+      JsonNode rootNode = objectMapper.readTree(content);
 
-      // 解析JSON字符串
+      // 如果是JSON格式，按原有逻辑处理
-      JsonNode rootNode = objectMapper.readTree(jsonString);
-
-      // 获取choices数组的第一个元素
       JsonNode choicesNode = rootNode.get("choices");
       if (choicesNode != null && choicesNode.isArray() && choicesNode.size() > 0) {
-        // 获取第一个choice
         JsonNode firstChoice = choicesNode.get(0);
-
-        // 获取message节点
         JsonNode messageNode = firstChoice.get("message");
         if (messageNode != null) {
-          // 获取content字段的值
           JsonNode contentNode = messageNode.get("content");
           if (contentNode != null) {
             return contentNode.asText();
           }
         }
-      }
-
         return "无法找到content内容";
+      }
+      
+      // 如果不是预期的JSON格式，直接返回原始内容
+      return content;
+      
     } catch (Exception e) {
-      e.printStackTrace();
+      // 如果解析JSON失败，说明是普通文本，直接返回
-      return "解析JSON时发生错误: " + e.getMessage();
+      return content;
     }
   }
 

ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/knowledge/KnowledgeInfoServiceImpl.java

@@ -57,7 +57,6 @@ import org.ruoyi.system.service.ISysOssService;
 import java.io.IOException;
 import java.util.*;
 
-
 /**
  * 知识库Service业务层处理
  *
@@ -234,8 +233,7 @@ public class KnowledgeInfoServiceImpl implements IKnowledgeInfoService {
                       .collect(Collectors.toList()))
               .in(KnowledgeAttachPic::getAid,
                   knowledgeAttachVos.stream().map(KnowledgeAttachVo::getId)
-                      .collect(Collectors.toList()))
+                      .collect(Collectors.toList())));
-      );
       if (ObjectUtil.isNotEmpty(knowledgeAttachPics)) {
         Collection<Long> tossIds = knowledgeAttachPics.stream()
             .map(KnowledgeAttachPic::getOssId)
@@ -334,15 +332,14 @@ public class KnowledgeInfoServiceImpl implements IKnowledgeInfoService {
   /**
    * 第一步 定时 拆解PDF文件中的图片
    */
-  //@Scheduled(fixedDelay = 15000) // 每3秒执行一次
+  @Scheduled(fixedDelay = 15000) // 每3秒执行一次
   public void dealKnowledgeAttachPic() throws Exception {
     // 处理 拆解PDF文件中的图片的记录
     List<KnowledgeAttach> knowledgeAttaches = attachMapper.selectList(
         new LambdaQueryWrapper<KnowledgeAttach>()
             .eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_10)
             .eq(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_10)
-            .eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10)
+            .eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10));
-    );
     log.info("===============拆解PDF文件中的图片 size = {}", knowledgeAttaches.size());
     if (ObjectUtil.isNotEmpty(knowledgeAttaches)) {
       for (KnowledgeAttach attachItem : knowledgeAttaches) {
@@ -354,32 +351,31 @@ public class KnowledgeInfoServiceImpl implements IKnowledgeInfoService {
   /**
    * 第二步 定时 解析图片内容
    */
-  //@Scheduled(fixedDelay = 15000)
+  @Scheduled(fixedDelay = 15000)
   public void dealKnowledgeAttachPicAnys() throws Exception {
     // 获取未处理的图片记录
     List<KnowledgeAttachPic> knowledgeAttachPics = picMapper.selectList(
         new LambdaQueryWrapper<KnowledgeAttachPic>()
             .eq(KnowledgeAttachPic::getPicAnysStatus, DealStatus.STATUS_10)
-            .last("LIMIT 20")
+            .last("LIMIT 20"));
-    );
     if (ObjectUtil.isNotEmpty(knowledgeAttachPics)) {
       for (KnowledgeAttachPic picItem : knowledgeAttachPics) {
         dealFileService.dealPicAnysStatus(picItem);
       }
     }
   }
+
   /**
    * 第三步 定时 处理 附件上传后上传向量数据库
    */
-  //@Scheduled(fixedDelay = 30000) // 每3秒执行一次
+  @Scheduled(fixedDelay = 30000) // 每3秒执行一次
   public void dealKnowledgeAttachVector() throws Exception {
     // 处理 需要上传向量数据库的记录
     List<KnowledgeAttach> knowledgeAttaches = attachMapper.selectList(
         new LambdaQueryWrapper<KnowledgeAttach>()
             .eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_30)
             .eq(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_30)
-            .eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10)
+            .eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10));
-    );
     log.info("===============上传向量数据库 size = {}", knowledgeAttaches.size());
     if (ObjectUtil.isNotEmpty(knowledgeAttaches)) {
       for (KnowledgeAttach attachItem : knowledgeAttaches) {
@@ -387,10 +383,11 @@ public class KnowledgeInfoServiceImpl implements IKnowledgeInfoService {
       }
     }
   }
+
   /**
    * 第四步 定时 处理 失败数据
    */
-  //@Scheduled(fixedDelay = 30 * 60 * 1000)
+  @Scheduled(fixedDelay = 30 * 60 * 1000)
   public void dealKnowledge40Status() throws Exception {
     // 拆解PDF失败 重新设置状态
     attachMapper.update(new LambdaUpdateWrapper<KnowledgeAttach>()
@@ -405,5 +402,5 @@ public class KnowledgeInfoServiceImpl implements IKnowledgeInfoService {
         .set(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10)
         .eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_40));
   }
-    @Scheduled(fixedDelay = 180000) // 3分钟执行一次
+
 }

script/sql/update/202505141010.sql

@@ -8,3 +8,48 @@ ADD PRIMARY KEY (`id`) USING BTREE;
 
 ALTER TABLE `knowledge_attach`
 MODIFY COLUMN `remark` text CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL COMMENT '备注' AFTER `update_time`;
+
+/*
+ Navicat Premium Data Transfer
+
+ Source Server         : localhost-57
+ Source Server Type    : MySQL
+ Source Server Version : 50731 (5.7.31)
+ Source Host           : localhost:3306
+ Source Schema         : ruoyi-ai
+
+ Target Server Type    : MySQL
+ Target Server Version : 50731 (5.7.31)
+ File Encoding         : 65001
+
+ Date: 19/05/2025 15:22:09
+*/
+
+SET NAMES utf8mb4;
+SET FOREIGN_KEY_CHECKS = 0;
+
+-- ----------------------------
+-- Table structure for knowledge_attach_pic
+-- ----------------------------
+DROP TABLE IF EXISTS `knowledge_attach_pic`;
+CREATE TABLE `knowledge_attach_pic` (
+  `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键',
+  `kid` varchar(50) NOT NULL COMMENT '知识库id',
+  `aid` varchar(50) NOT NULL COMMENT '附件id',
+  `doc_name` varchar(500) DEFAULT NULL COMMENT '文档名称',
+  `doc_type` varchar(50) NOT NULL COMMENT '文档类型',
+  `content` longtext COMMENT '文档内容',
+  `page_num` int(5) DEFAULT '0' COMMENT '所在页数',
+  `index_num` int(5) DEFAULT '0' COMMENT '所在页index',
+  `pic_anys_status` int(5) NOT NULL DEFAULT '10' COMMENT '分析图片状态10未开始，20进行中，30已完成',
+  `oss_id` bigint(20) NOT NULL COMMENT '对象存储主键',
+  `create_dept` varchar(255) DEFAULT NULL COMMENT '部门',
+  `create_by` varchar(50) DEFAULT NULL COMMENT '创建人',
+  `create_time` datetime DEFAULT NULL COMMENT '创建时间',
+  `update_by` bigint(20) DEFAULT NULL COMMENT '更新者',
+  `update_time` datetime DEFAULT NULL COMMENT '更新时间',
+  `remark` text COMMENT '备注',
+  PRIMARY KEY (`id`)
+) ENGINE=InnoDB AUTO_INCREMENT=1922929659800637443 DEFAULT CHARSET=utf8mb4 COMMENT='知识库附件图片列表';
+
+SET FOREIGN_KEY_CHECKS = 1;

script/sql/update/202506041541.sql

@@ -0,0 +1,2 @@
+ALTER TABLE `knowledge_attach`
+MODIFY COLUMN `oss_id` bigint(20) NULL DEFAULT NULL COMMENT '对象存储ID' AFTER `doc_type`;