Merge remote-tracking branch 'origin/pdf-image'

# Conflicts:
#	ruoyi-admin/src/main/resources/application-dev.yml
#	ruoyi-admin/src/main/resources/application-prod.yml
#	ruoyi-modules-api/ruoyi-knowledge-api/pom.xml
#	ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/PdfImageExtractService.java
#	ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/impl/PdfImageExtractServiceImpl.java
#	ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/impl/VectorStoreServiceImpl.java
#	ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/controller/knowledge/KnowledgeController.java
#	ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/knowledge/DealFileService.java
#	ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/knowledge/KnowledgeInfoServiceImpl.java
#	script/sql/update/202505141010.sql
This commit is contained in:
ageerle
2025-09-19 10:56:26 +08:00
15 changed files with 1061 additions and 3 deletions

View File

@@ -85,4 +85,15 @@ sms:
# 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

View File

@@ -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

View File

@@ -89,6 +89,12 @@
<artifactId>langchain4j-document-parser-apache-tika</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>dashscope-sdk-java</artifactId>
<version>2.19.0</version>
</dependency>
</dependencies>
</project>

View File

@@ -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;
}

View File

@@ -0,0 +1,34 @@
/**
* 处理文件内容
*
* @param unzip Base64编码的图片数组
* @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> 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
* @return
* @throws IOException
*/
List<PdfFileContentResult> extractImages(MultipartFile file) throws IOException;
}

View File

@@ -0,0 +1,150 @@
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 boolean isFirstPrint;
@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);
StringBuilder reasoningContent = new StringBuilder();
StringBuilder finalContent = new StringBuilder();
isFirstPrint = true;
result.blockingForEach(message -> handleGenerationResult(message, reasoningContent, finalContent));
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);
StringBuilder reasoningContent = new StringBuilder();
StringBuilder finalContent = new StringBuilder();
isFirstPrint = true;
result.blockingForEach(message -> handleGenerationResult(message, reasoningContent, finalContent));
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 void handleGenerationResult(MultiModalConversationResult message, StringBuilder reasoningContent, StringBuilder finalContent) {
String re = message.getOutput().getChoices().get(0).getMessage().getReasoningContent();
String reasoning = Objects.isNull(re) ? "" : re;
List<Map<String, Object>> content = message.getOutput().getChoices().get(0).getMessage()
.getContent();
if (!reasoning.isEmpty()) {
reasoningContent.append(reasoning);
}
if (Objects.nonNull(content) && !content.isEmpty()) {
Object text = content.get(0).get("text");
finalContent.append(text);
}
// 检查是否是最后一个响应
if (message.getOutput().getChoices().get(0).getFinishReason() != null) {
// 输出思考过程
if (reasoningContent.length() > 0) {
System.out.println("====================思考过程====================");
System.out.println(reasoningContent.toString());
}
// 输出完整回复
if (finalContent.length() > 0) {
System.out.println("====================完整回复====================");
System.out.println(finalContent.toString());
}
}
}
}

View File

@@ -0,0 +1,147 @@
package org.ruoyi.service.impl;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;
import lombok.Data;
import lombok.extern.slf4j.Slf4j;
import okhttp3.MediaType;
import okhttp3.MultipartBody;
import okhttp3.OkHttpClient;
import okhttp3.OkHttpClient.Builder;
import okhttp3.Request;
import okhttp3.RequestBody;
import okhttp3.Response;
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;
/**
* PDF图片提取服务实现类
*/
@Service
@Slf4j
@Data
public class PdfImageExtractServiceImpl implements PdfImageExtractService {
@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;
private final OkHttpClient client = new Builder()
.connectTimeout(100, TimeUnit.SECONDS)
.readTimeout(150, TimeUnit.SECONDS)
.writeTimeout(150, TimeUnit.SECONDS)
.callTimeout(300, TimeUnit.SECONDS)
.build();
private static final MediaType JSON = MediaType.parse("application/json; charset=utf-8");
// @Override
public byte[] extractImages(MultipartFile pdfFile, String imageFormat, boolean allowDuplicates)
throws IOException {
// 构建multipart请求
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("fileInput", pdfFile.getOriginalFilename(),
RequestBody.create(MediaType.parse("application/pdf"), pdfFile.getBytes()))
.addFormDataPart("format", imageFormat)
.addFormDataPart("allowDuplicates", String.valueOf(allowDuplicates))
.build();
// 创建请求
Request request = new Request.Builder()
.url(serviceUrl + "/api/v1/misc/extract-images")
.post(requestBody)
.build();
// 执行请求
try (Response response = client.newCall(request).execute()) {
if (!response.isSuccessful()) {
throw new IOException("请求失败: " + response.code());
}
return response.body().bytes();
}
}
/**
* 处理文件内容
*
* @param unzip Base64编码的图片数组
* @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> dealFileContent(String[] unzip) throws IOException {
List<PdfFileContentResult> results = new ArrayList<>();
int i = 0;
for (String base64Image : unzip) {
// 构建请求JSON
String requestJson = String.format("{"
+ "\"model\": \"gpt-4o\","
+ "\"stream\": false,"
+ "\"messages\": [{"
+ "\"role\": \"user\","
+ "\"content\": [{"
+ "\"type\": \"text\","
+ "\"text\": \"这张图片有什么\""
+ "}, {"
+ "\"type\": \"image_url\","
+ "\"image_url\": {"
+ "\"url\": \"%s\""
+ "}}"
+ "]}],"
+ "\"max_tokens\": 400"
+ "}", base64Image);
// 创建请求
Request request = new Request.Builder()
.url(aiApiUrl)
.addHeader("Authorization", "Bearer " + aiApiKey)
.post(RequestBody.create(JSON, requestJson))
.build();
// 执行请求
try {
log.info("=============call=" + ++i);
Response response = client.newCall(request).execute();
log.info("=============response=" + response);
if (!response.isSuccessful()) {
throw new IOException("API请求失败: " + response.code() + response.toString());
}
String responseBody = response.body().string();
log.info("=============responseBody=" + responseBody);
// 使用文件名这里使用base64的前10个字符作为标识和API返回内容创建结果对象
String filename = base64Image.substring(0, Math.min(base64Image.length(), 10));
results.add(new PdfFileContentResult(filename, responseBody));
} catch (Exception e) {
log.error(e.getMessage());
throw new RuntimeException(e);
}
}
return results;
}
// @Override
public List<PdfFileContentResult> extractImages(MultipartFile file) throws IOException {
String format = "png";
boolean allowDuplicates = true;
// 获取ZIP数据
byte[] zipData = this.extractImages(file, format, allowDuplicates);
// 解压文件并识别图片内容并返回
String[] unzip = ZipUtils.unzipForBase64(zipData);
//解析图片内容
return this.dealFileContent(unzip);
}
}

View File

@@ -7,6 +7,8 @@ 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.store.embedding.EmbeddingMatch;
import dev.langchain4j.store.embedding.EmbeddingSearchRequest;
import dev.langchain4j.store.embedding.EmbeddingStore;
import dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore;
import io.weaviate.client.Config;
@@ -29,6 +31,7 @@ import org.ruoyi.domain.bo.StoreEmbeddingBo;
import org.ruoyi.service.VectorStoreService;
import org.springframework.stereotype.Service;
import java.util.*;
import java.util.stream.Collectors;
/**
* 向量库管理

View File

@@ -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);
}

View File

@@ -209,4 +209,48 @@ 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());
}
}
}

View File

@@ -185,4 +185,17 @@ public class KnowledgeController extends BaseController {
return attachService.translationByFile(file, targetLanguage);
}
/**
* 提取PDF中的图片并调用gpt-4o-mini,识别图片内容并返回
*
* @param file PDF文件
* @return 文件名称和图片内容
*/
@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")
public R<List<PdfFileContentResult>> extractImages(
) throws IOException {
return R.ok(pdfImageExtractService
.dealFileContent4Dashscope("https://hnzuoran02-1327573163.cos.ap-nanjing.myqcloud.com/crmebimage/public/content/2025/06/04/e115264eb22f423ea0b211709361c29f071avy39ez.jpg"));
}
}

View File

@@ -0,0 +1,377 @@
package org.ruoyi.chat.service.knowledge;
import cn.hutool.core.util.ObjectUtil;
import cn.hutool.core.util.RandomUtil;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.conditions.update.LambdaUpdateWrapper;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import java.util.Collection;
import java.util.Date;
import java.util.List;
import java.util.stream.Collectors;
import lombok.RequiredArgsConstructor;
import org.ruoyi.chain.loader.ResourceLoaderFactory;
import org.ruoyi.constant.DealStatus;
import org.ruoyi.domain.KnowledgeAttach;
import org.ruoyi.domain.KnowledgeAttachPic;
import org.ruoyi.domain.KnowledgeFragment;
import org.ruoyi.domain.KnowledgeInfo;
import org.ruoyi.domain.PdfFileContentResult;
import org.ruoyi.domain.bo.StoreEmbeddingBo;
import org.ruoyi.domain.vo.ChatModelVo;
import org.ruoyi.domain.vo.KnowledgeAttachVo;
import org.ruoyi.domain.vo.KnowledgeInfoVo;
import org.ruoyi.mapper.KnowledgeAttachMapper;
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;
import org.ruoyi.system.service.ISysOssService;
import org.ruoyi.utils.ZipUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;
import org.springframework.web.multipart.MultipartFile;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
/**
* @Description:
* @Date: 2025/5/15 下午4:29
*/
@Service
@RequiredArgsConstructor
public class DealFileService {
private static final Logger log = LoggerFactory.getLogger(DealFileService.class);
private final KnowledgeInfoMapper baseMapper;
private final VectorStoreService vectorStoreService;
private final ResourceLoaderFactory resourceLoaderFactory;
private final KnowledgeFragmentMapper fragmentMapper;
private final KnowledgeAttachMapper attachMapper;
private final IChatModelService chatModelService;
private final ISysOssService ossService;
private final PdfImageExtractService pdfImageExtractService;
private final KnowledgeAttachPicMapper picMapper;
@Async
public void dealVectorStatus(KnowledgeAttach attachItem) throws Exception {
try {
//锁定数据 更改VectorStatus 到进行中
if (attachMapper.update(new LambdaUpdateWrapper<KnowledgeAttach>()
.set(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_20)
.eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getId, attachItem.getId())
) == 0) {
return;
}
List<KnowledgeFragment> knowledgeFragments = fragmentMapper.selectList(
new LambdaQueryWrapper<KnowledgeFragment>()
.eq(KnowledgeFragment::getKid, attachItem.getKid())
.eq(KnowledgeFragment::getDocId, attachItem.getDocId())
);
if (ObjectUtil.isEmpty(knowledgeFragments)) {
throw new Exception("文件段落为空");
}
List<String> fids = knowledgeFragments.stream()
.map(KnowledgeFragment::getFid)
.collect(Collectors.toList());
if (ObjectUtil.isEmpty(fids)) {
throw new Exception("fids 为空");
}
List<String> chunkList = knowledgeFragments.stream()
.map(KnowledgeFragment::getContent)
.collect(Collectors.toList());
if (ObjectUtil.isEmpty(chunkList)) {
throw new Exception("chunkList 为空");
}
// 通过kid查询知识库信息
KnowledgeInfoVo knowledgeInfoVo = baseMapper.selectVoOne(Wrappers.<KnowledgeInfo>lambdaQuery()
.eq(KnowledgeInfo::getId, attachItem.getKid()));
// 通过向量模型查询模型信息
ChatModelVo chatModelVo = chatModelService.selectModelByName(
knowledgeInfoVo.getEmbeddingModelName());
StoreEmbeddingBo storeEmbeddingBo = new StoreEmbeddingBo();
storeEmbeddingBo.setKid(attachItem.getKid());
storeEmbeddingBo.setDocId(attachItem.getDocId());
storeEmbeddingBo.setFids(fids);
storeEmbeddingBo.setChunkList(chunkList);
storeEmbeddingBo.setVectorModelName(knowledgeInfoVo.getVectorModelName());
storeEmbeddingBo.setEmbeddingModelName(knowledgeInfoVo.getEmbeddingModelName());
storeEmbeddingBo.setApiKey(chatModelVo.getApiKey());
storeEmbeddingBo.setBaseUrl(chatModelVo.getApiHost());
vectorStoreService.storeEmbeddings(storeEmbeddingBo);
//设置处理完成
attachMapper.update(new LambdaUpdateWrapper<KnowledgeAttach>()
.set(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_20)
.eq(KnowledgeAttach::getId, attachItem.getId()));
} catch (Exception e) {
e.printStackTrace();
//设置处理失败
attachMapper.update(new LambdaUpdateWrapper<KnowledgeAttach>()
.set(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_40)
.set(KnowledgeAttach::getRemark, attachItem.getRemark() + e.getMessage())
.eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_20)
.eq(KnowledgeAttach::getId, attachItem.getId()));
throw new RuntimeException(e);
}
}
@Async
public void dealPicStatus(KnowledgeAttach attachItem) throws Exception {
try {
//锁定数据 更改picStatus 到进行中
if (attachMapper.update(new LambdaUpdateWrapper<KnowledgeAttach>()
.set(KnowledgeAttach::getPicStatus, DealStatus.STATUS_20)
.eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getId, attachItem.getId())
) == 0) {
return;
}
//获取附件
if (ObjectUtil.isEmpty(attachItem.getOssId())) {
log.error("==========OssId 为空attachItem={}", attachItem);
throw new Exception("OssId 为空");
}
//获取oss文件
MultipartFile multipartFile = ossService.downloadByFile(attachItem.getOssId());
//拆解出图片ZIP
byte[] pngs = pdfImageExtractService.extractImages(multipartFile, "png", true);
//解压zip得到图片文件
MultipartFile[] multipartFiles = ZipUtils.unzipToMultipartFiles(pngs);
//上传文件到OSS写入表
for (MultipartFile file : multipartFiles) {
//先查找是否有相同图片名称,先做删除
List<KnowledgeAttachPic> knowledgeAttachPics = picMapper.selectList(
new LambdaQueryWrapper<KnowledgeAttachPic>()
.eq(KnowledgeAttachPic::getKid, attachItem.getKid())
.eq(KnowledgeAttachPic::getAid, attachItem.getId())
.eq(KnowledgeAttachPic::getDocName, file.getOriginalFilename())
);
if (ObjectUtil.isNotEmpty(knowledgeAttachPics)) {
Collection<Long> ossIds = knowledgeAttachPics.stream()
.map(KnowledgeAttachPic::getOssId)
.collect(Collectors.toList());
ossService.deleteWithValidByIds(ossIds, false);
List<Long> collect = knowledgeAttachPics.stream().map(KnowledgeAttachPic::getId)
.collect(Collectors.toList());
picMapper.deleteByIds(collect);
}
SysOssVo upload = ossService.upload(file);
KnowledgeAttachPic entity = new KnowledgeAttachPic();
entity.setKid(attachItem.getKid());
entity.setAid(String.valueOf(attachItem.getId()));
entity.setDocName(file.getOriginalFilename());
entity.setDocType(
file.getOriginalFilename().substring(file.getOriginalFilename().lastIndexOf(".") + 1));
entity.setOssId(upload.getOssId());
int[] ints = extractPageNumbers(file.getOriginalFilename());
if (ObjectUtil.isNotEmpty(ints)) {
assert ints != null;
if (ints.length == 2) {
entity.setPageNum(ints[0]);
entity.setIndexNum(ints[1]);
}
}
picMapper.insert(entity);
}
//设置处理完成
attachMapper.update(new LambdaUpdateWrapper<KnowledgeAttach>()
.set(KnowledgeAttach::getPicStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_20)
.eq(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getId, attachItem.getId()));
} catch (Exception e) {
//设置处理失败
attachMapper.update(new LambdaUpdateWrapper<KnowledgeAttach>()
.set(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_40)
.set(KnowledgeAttach::getRemark, attachItem.getRemark() + e.getMessage())
.eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_20)
.eq(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getId, attachItem.getId()));
throw new RuntimeException(e);
}
}
@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>()
.set(KnowledgeAttachPic::getPicAnysStatus, DealStatus.STATUS_20)
.eq(KnowledgeAttachPic::getPicAnysStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttachPic::getId, picItem.getId())
) == 0) {
return;
}
SysOssVo ossVo = ossService.getById(picItem.getOssId());
if (ObjectUtil.isNotEmpty(ossVo)) {
filePath = ossService.downloadToTempPath(picItem.getOssId());
//调用第三方 分析图片内容
List<PdfFileContentResult> pdfFileContentResults = pdfImageExtractService.dealFileContent4DashscopeBase64(
filePath);
if (ObjectUtil.isNotEmpty(pdfFileContentResults)) {
for (PdfFileContentResult resultItem : pdfFileContentResults) {
//图片解析内容回写到pic表
picMapper.update(new LambdaUpdateWrapper<KnowledgeAttachPic>()
.set(KnowledgeAttachPic::getContent, parseContent(resultItem.getContent()))
.set(KnowledgeAttachPic::getPicAnysStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttachPic::getId, picItem.getId()));
//将图片解析内容 写入段落表 fragment
KnowledgeAttachVo knowledgeAttachVo = attachMapper.selectVoById(picItem.getAid());
if (ObjectUtil.isNotEmpty(knowledgeAttachVo)) {
String fid = RandomUtil.randomString(10);
KnowledgeFragment knowledgeFragment = new KnowledgeFragment();
knowledgeFragment.setKid(knowledgeAttachVo.getKid());
knowledgeFragment.setDocId(knowledgeAttachVo.getDocId());
knowledgeFragment.setFid(fid);
knowledgeFragment.setIdx(0);
knowledgeFragment.setContent(parseContent(resultItem.getContent()));
knowledgeFragment.setCreateTime(new Date());
fragmentMapper.insert(knowledgeFragment);
//更新attach表需要所有图片都处理完毕
// 查询非30状态完成状态的记录数量
long nonStatus30Count = picMapper.selectCount(
new LambdaQueryWrapper<KnowledgeAttachPic>()
.ne(KnowledgeAttachPic::getPicAnysStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttachPic::getAid, picItem.getAid())
);
if (nonStatus30Count == 0) {
// 执行表更新操作
attachMapper.update(new LambdaUpdateWrapper<KnowledgeAttach>()
.set(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_30)
.eq(KnowledgeAttach::getPicAnysStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getId, picItem.getAid()));
}
}
}
}
}
} catch (Exception e) {
//失败
picMapper.update(new LambdaUpdateWrapper<KnowledgeAttachPic>()
.set(KnowledgeAttachPic::getPicAnysStatus, DealStatus.STATUS_40)
.set(KnowledgeAttachPic::getRemark, picItem.getRemark() + e.getMessage())
.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);
}
}
}
/**
* 从文件名中提取page后面的两个数字
*
* @param fileName 文件名
* @return 包含两个数字的数组如果未找到则返回null
*/
public static int[] extractPageNumbers(String fileName) {
// 查找"page_"的位置
int pageIndex = fileName.indexOf("page_");
if (pageIndex == -1) {
return null;
}
// 从"page_"后开始截取
String afterPage = fileName.substring(pageIndex + 5);
// 按下划线分割
String[] parts = afterPage.split("_");
if (parts.length >= 2) {
try {
// 提取两个数字
int firstNumber = Integer.parseInt(parts[0]);
// 对于第二个数字,需要去掉可能的文件扩展名
String secondPart = parts[1];
int dotIndex = secondPart.indexOf(".");
if (dotIndex != -1) {
secondPart = secondPart.substring(0, dotIndex);
}
int secondNumber = Integer.parseInt(secondPart);
return new int[]{firstNumber, secondNumber};
} catch (NumberFormatException e) {
return null;
}
}
return null;
}
public static String parseContent(String content) {
try {
// 首先尝试作为JSON解析
ObjectMapper objectMapper = new ObjectMapper();
JsonNode rootNode = objectMapper.readTree(content);
// 如果是JSON格式按原有逻辑处理
JsonNode choicesNode = rootNode.get("choices");
if (choicesNode != null && choicesNode.isArray() && choicesNode.size() > 0) {
JsonNode firstChoice = choicesNode.get(0);
JsonNode messageNode = firstChoice.get("message");
if (messageNode != null) {
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) {
// 如果解析JSON失败说明是普通文本直接返回
return content;
}
}
}

View File

@@ -36,7 +36,6 @@ import java.io.IOException;
import java.util.*;
import java.util.stream.Collectors;
/**
* 知识库Service业务层处理
*
@@ -191,7 +190,7 @@ public class KnowledgeInfoServiceImpl implements IKnowledgeInfoService {
* 保存前的数据校验
*/
private void validEntityBeforeSave(KnowledgeInfo entity) {
//TODO 做一些数据校验,如唯一约束
// TODO 做一些数据校验,如唯一约束
}
/**
@@ -200,7 +199,7 @@ public class KnowledgeInfoServiceImpl implements IKnowledgeInfoService {
@Override
public Boolean deleteWithValidByIds(Collection<Long> ids, Boolean isValid) {
if (isValid) {
//TODO 做一些业务上的校验,判断是否需要校验
// TODO 做一些业务上的校验,判断是否需要校验
}
return baseMapper.deleteBatchIds(ids) > 0;
}
@@ -316,4 +315,78 @@ 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
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));
log.info("===============拆解PDF文件中的图片 size = {}", knowledgeAttaches.size());
if (ObjectUtil.isNotEmpty(knowledgeAttaches)) {
for (KnowledgeAttach attachItem : knowledgeAttaches) {
dealFileService.dealPicStatus(attachItem);
}
}
}
/**
* 第二步 定时 解析图片内容
*/
@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"));
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
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));
log.info("===============上传向量数据库 size = {}", knowledgeAttaches.size());
if (ObjectUtil.isNotEmpty(knowledgeAttaches)) {
for (KnowledgeAttach attachItem : knowledgeAttaches) {
dealFileService.dealVectorStatus(attachItem);
}
}
}
/**
* 第四步 定时 处理 失败数据
*/
@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>()
.set(KnowledgeAttach::getPicStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getPicStatus, DealStatus.STATUS_40));
// 将图片分析失败的数据 重新设置状态
picMapper.update(new LambdaUpdateWrapper<KnowledgeAttachPic>()
.set(KnowledgeAttachPic::getPicAnysStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttachPic::getPicAnysStatus, DealStatus.STATUS_40));
// 上传向量库失败 重新设置状态
attachMapper.update(new LambdaUpdateWrapper<KnowledgeAttach>()
.set(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_10)
.eq(KnowledgeAttach::getVectorStatus, DealStatus.STATUS_40));
}
}

View File

@@ -0,0 +1,55 @@
ALTER TABLE `knowledge_attach`
ADD COLUMN `oss_id` bigint(20) NOT NULL COMMENT '对象存储主键' AFTER `remark`,
ADD COLUMN `pic_status` tinyint(1) NOT NULL DEFAULT 10 COMMENT '拆解图片状态10未开始20进行中30已完成' AFTER `oss_id`,
ADD COLUMN `pic_anys_status` tinyint(1) NOT NULL DEFAULT 10 COMMENT '分析图片状态10未开始20进行中30已完成' AFTER `pic_status`,
ADD COLUMN `vector_status` tinyint(1) NOT NULL DEFAULT 10 COMMENT '写入向量数据库状态10未开始20进行中30已完成' AFTER `pic_anys_status`,
DROP PRIMARY KEY,
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;

View File

@@ -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`;