Merge branch 'es检索'

# Conflicts:
#	chat-client/src/views/datasets/components/DocumentList.vue
This commit is contained in:
wenjinbo 2025-09-24 12:20:39 +08:00
commit f247efbb79
4 changed files with 73 additions and 16 deletions

View File

@ -9,6 +9,7 @@ import com.bjtds.brichat.entity.dto.PdfTaskDto;
import com.bjtds.brichat.service.DatasetFilesService;
import com.bjtds.brichat.service.DatasetsDocService;
import com.bjtds.brichat.service.DeepAnalysisQueueService;
import com.bjtds.brichat.service.EsTDatasetFilesService;
import com.bjtds.brichat.service.dify.DifyDatasetApiService;
import com.bjtds.brichat.util.Constants;
import com.bjtds.brichat.util.ResultUtils;
@ -27,6 +28,7 @@ import org.springframework.web.bind.annotation.*;
import org.springframework.web.client.RestTemplate;
import org.springframework.web.multipart.MultipartFile;
import javax.annotation.Resource;
import java.io.IOException;
import java.net.URLEncoder;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
@ -70,6 +72,9 @@ public class DatasetDocController {
@Resource
private DeepAnalysisQueueService deepAnalysisQueueService;
@Resource
private EsTDatasetFilesService esTDatasetFilesService;
@Value("${dify.url}")
private String difyUrl;
@ -137,9 +142,14 @@ public class DatasetDocController {
for (TDatasetFiles tdatasetFiles : allFilesByParentId) {
if(tdatasetFiles.getDifyDocId() != null && !tdatasetFiles.getDifyDocId().isEmpty()){
difyDatasetService.deleteDocument(tdatasetFiles.getDifyDatasetId(),tdatasetFiles.getDifyDocId());
//删除es索引
try{
esTDatasetFilesService.deleteDocIndex(tdatasetFiles.getDifyDatasetId(),tdatasetFiles.getDifyDocId());
} catch (IOException e) {
log.error("删除es索引失败,文档id:{}",tdatasetFiles.getDifyDocId(),e);
}
}
datasetFilesService.physicalDeleteFile(tdatasetFiles.getId());
}
}
@ -147,7 +157,14 @@ public class DatasetDocController {
datasetFilesService.deleteFile(fileId);
} else{
if(fileInfo.getDifyDocId() != null && !fileInfo.getDifyDocId().isEmpty()){
difyDatasetService.deleteDocument(fileInfo.getDifyDatasetId(),fileInfo.getDifyDocId());
//删除es索引
try{
esTDatasetFilesService.deleteDocIndex(fileInfo.getDifyDatasetId(),fileInfo.getDifyDocId());
} catch (IOException e) {
log.error("删除es索引失败,文档id:{}",fileInfo.getDifyDocId(),e);
}
}
datasetFilesService.physicalDeleteFile(fileId);
}

View File

@ -70,6 +70,14 @@ public class DatasetManageController {
datasetManagerService.deleteDataset(id);
difyDatasetService.delete(id);
//删除es索引
try {
esTDatasetFilesService.deleteIndex(id);
log.info("删除es索引成功,知识库id:{}",id);
} catch (IOException e) {
log.error("删除es索引失败,知识库id:{}",id,e);
}
}
@PostMapping("/create")

View File

@ -141,16 +141,16 @@ public class KnowledgeBaseController {
result.put("finished", finished);
return ResultUtils.success(result);
}
@ApiOperation("删除索引下的文件")
@DeleteMapping("/deleteFileIndex")
public ResultUtils deleteFileIndex(@RequestParam("documentId") String documentId,@RequestParam("datasetId")String datasetId) throws Exception {
try{
esTDatasetFilesService.deleteDocIndex(datasetId,documentId);
return ResultUtils.success("索引删除成功");
} catch (IOException e) {
return ResultUtils.error("索引删除失败: " + e.getMessage());
}
}
// @ApiOperation("删除索引下的文件")
// @DeleteMapping("/deleteFileIndex")
// public ResultUtils deleteFileIndex(@RequestParam("documentId") String documentId,@RequestParam("datasetId")String datasetId) throws Exception {
// try{
// esTDatasetFilesService.deleteDocIndex(datasetId,documentId);
// return ResultUtils.success("索引删除成功");
// } catch (IOException e) {
// return ResultUtils.error("索引删除失败: " + e.getMessage());
// }
// }
@ApiOperation("删除所有索引")
@DeleteMapping("/deleteAllIndex")
public ResultUtils deleteAllIndex() throws Exception {

View File

@ -37,6 +37,7 @@ public class EsTDatasetFilesServiceImpl implements EsTDatasetFilesService {
private ElasticsearchClient client;
@Autowired
private TUserDatasetMapper tUserDatasetMapper;
@Autowired
private DifyDatasetsMapper difyDatasetsMapper;
@ -73,6 +74,7 @@ public class EsTDatasetFilesServiceImpl implements EsTDatasetFilesService {
.properties("source_url", p -> p.keyword(k -> k))
.properties("dataset_name", p -> p.keyword(k -> k))
.properties("document_id", p -> p.keyword(k -> k))
.properties("difyDocId", p -> p.keyword(k -> k))
)
);
@ -263,12 +265,15 @@ public class EsTDatasetFilesServiceImpl implements EsTDatasetFilesService {
double epsilon = 1e-6;
double lower = 0.05, upper = 0.98;
Random random = new Random();
int index = 0;
for (Hit<TDatasetFiles> hit : response.hits().hits()) {
TDatasetFiles d = hit.source();
double rawScore = scores.get(index++);
double normalizedScore = (maxScore - minScore < epsilon) ? upper
: lower + (rawScore - minScore) / (maxScore - minScore) * (upper - lower);
log.info("Score: {}", rawScore);
double normalizedScore = normalizeScore(rawScore, minScore, maxScore, lower, upper, epsilon, random);
// 高亮内容
String content = String.join(" ... ", hit.highlight().getOrDefault("content", Collections.emptyList()));
System.out.println("content: " + content);
@ -340,11 +345,11 @@ public class EsTDatasetFilesServiceImpl implements EsTDatasetFilesService {
try {
DeleteByQueryResponse response = client.deleteByQuery(d -> d
.index(DatasetId)
.query(q -> q.term(t -> t.field("document_id").value(documentId))));
datasetFilesService.updateByDatasetIdAndDocId(DatasetId, documentId);
.query(q -> q.term(t -> t.field("difyDocId").value(documentId))));
log.info("删除文档索引成功: {}, documentId: {}", DatasetId, documentId);
log.info(" deleted: {}", response.deleted());
} catch (IOException e) {
log.error("删除文档索引失败: {}, documentId: {}", DatasetId, documentId, e);
log.error("删除文档索引失败: {}, documentId: {}, error: {}", DatasetId, documentId, e.getMessage());
}
} else {
log.warn("索引不存在: {}", DatasetId);
@ -365,6 +370,33 @@ public class EsTDatasetFilesServiceImpl implements EsTDatasetFilesService {
});
}
private double normalizeScore(double rawScore, double minScore, double maxScore, double lower, double upper, double epsilon, Random random) {
// 计算分数范围
double scoreRange = maxScore - minScore;
log.warn("Score range: {}", scoreRange);
// 如果最大最小分数相差小于 epsilon直接使用 upper
double normalizedScore = (scoreRange < epsilon) ? upper
: lower + (rawScore - minScore) / scoreRange * (upper - lower);
log.warn("rawScore: {}, normalizedScore before fluctuation: {}", rawScore, normalizedScore);
// 获取原始分数的小数点后两位
double integerPart = Math.floor(rawScore); // 获取整数部分
double decimalPart = rawScore - integerPart; // 获取小数部分
double decimalPartOneDigit = Math.floor(decimalPart * 10) / 10.0; // 获取小数部分的第一位
double result = integerPart + decimalPartOneDigit; // 将整数部分和小数点后一位合成
double decimalPartTwoDigits = (result*10)/ 1000; // 获取小数部分的两位
log.warn("Raw score decimal part (2 digits): {}", decimalPartTwoDigits);
if(normalizedScore==upper){
normalizedScore -= (0.1-decimalPartTwoDigits);
}else if(normalizedScore==lower){
normalizedScore += decimalPartTwoDigits;
}
return normalizedScore;
}
}