refactor(llm): 重构数据集服务实现类
- 优化了文件读取和解析逻辑，支持 JSON、TXT、CSV 和 XLSX 文件格式 - 新增通用的 JSON 解析方法，提高代码复用性 - 改进了错误处理和异常提示，提升用户体验 - 重构了部分方法，提高了代码的可读性和可维护性
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@ -29,6 +29,7 @@ import cn.iocoder.yudao.module.llm.utils.vo.CsvDataSetVO;
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import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
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import com.baomidou.mybatisplus.core.toolkit.CollectionUtils;
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import com.baomidou.mybatisplus.core.toolkit.StringUtils;
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import com.fasterxml.jackson.core.JsonProcessingException;
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import com.fasterxml.jackson.core.type.TypeReference;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.opencsv.exceptions.CsvValidationException;
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@ -91,9 +92,20 @@ public class DatasetServiceImpl implements DatasetService {
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@Resource
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private ModelAssessTaskManualBackupService modelAssessTaskManualBackupService;
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private static long getFileContentLength(File file) throws IOException {
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FileInputStream fis = new FileInputStream(file);
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byte[] buffer = new byte[1024];
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long charCount = 0;
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while (fis.read(buffer) != -1) {
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charCount += new String(buffer).length();
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}
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fis.close();
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return charCount;
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}
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@Transactional
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@Override
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public Long createDataset (DatasetSaveReqVO createReqVO) {
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public Long createDataset(DatasetSaveReqVO createReqVO) {
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// 校验
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validateDatasetNameExists(createReqVO);
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if (createReqVO.getType() == null) {
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@ -113,7 +125,7 @@ public class DatasetServiceImpl implements DatasetService {
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Long count = datasetQuestionMapper.selectCount(new LambdaQueryWrapper<DatasetQuestionDO>()
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.eq(DatasetQuestionDO::getDatasetId, dataset.getId()));
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if (count <= 0){
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if (count <= 0) {
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throw new ServiceException(new ErrorCode(20000, "数据集问题不能为空"));
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}
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@ -130,16 +142,16 @@ public class DatasetServiceImpl implements DatasetService {
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if (annoCount == 0) {
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status = 0;
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}
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if (CollectionUtils.isEmpty(datasetFiles)){
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if (CollectionUtils.isEmpty(datasetFiles)) {
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throw new ServiceException(new ErrorCode(
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20000, "数据集文件不能为空"));
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}
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if (dataset.getDatasetType() == 2){
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if (status != 2 ){
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if (dataset.getDatasetType() == 2) {
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if (status != 2) {
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throw new ServiceException(new ErrorCode(
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20000, "评估数据集只能上传标注完成的数据"));
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}
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}else {
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} else {
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if (dataset.getStatus() != status) {
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throw new ServiceException(new ErrorCode(
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20000, "数据集标注状态错误！应该是【" + DatasetStatusEnum.getStatusByName(status) + "】"));
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@ -152,21 +164,9 @@ public class DatasetServiceImpl implements DatasetService {
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return dataset.getId();
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}
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private static long getFileContentLength (File file) throws IOException {
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FileInputStream fis = new FileInputStream(file);
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byte[] buffer = new byte[1024];
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long charCount = 0;
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while (fis.read(buffer) != -1) {
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charCount += new String(buffer).length();
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}
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fis.close();
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return charCount;
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}
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@Override
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@Transactional
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public void updateDataset (DatasetSaveReqVO updateReqVO) {
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public void updateDataset(DatasetSaveReqVO updateReqVO) {
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// 校验存在
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validateDatasetExists(updateReqVO.getId());
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validateDatasetNameExists(updateReqVO);
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@ -190,7 +190,7 @@ public class DatasetServiceImpl implements DatasetService {
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List<Long> deleteIds = new ArrayList<>(selectids);
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deleteIds.removeAll(updateIds);
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// 删除操作
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if (CollectionUtils.isNotEmpty(deleteIds)){
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if (CollectionUtils.isNotEmpty(deleteIds)) {
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datasetFilesMapper.deleteBatchIds(deleteIds);
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datasetQuestionMapper.delete(new LambdaQueryWrapper<DatasetQuestionDO>()
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.in(DatasetQuestionDO::getDatasetFilesId, deleteIds));
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@ -209,13 +209,13 @@ public class DatasetServiceImpl implements DatasetService {
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datasetFilesSaveReqVO.setDatasetId(updateObj.getId());
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}
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);
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if (CollectionUtils.isNotEmpty(noIdsDatasetFiles)){
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if (CollectionUtils.isNotEmpty(noIdsDatasetFiles)) {
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parseFile(datasetFiles);
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}
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Long count = datasetQuestionMapper.selectCount(new LambdaQueryWrapper<DatasetQuestionDO>()
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.eq(DatasetQuestionDO::getDatasetId, updateObj.getId()));
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if (count <= 0){
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if (count <= 0) {
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throw new ServiceException(new ErrorCode(20000, "数据集问题不能为空"));
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}
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@ -230,14 +230,14 @@ public class DatasetServiceImpl implements DatasetService {
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updateObj.setAnnotateProgress(formattedRatio);
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}
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if (annoCount == 0) {
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status=0;
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status = 0;
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}
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if (CollectionUtils.isEmpty(datasetFiles)){
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if (CollectionUtils.isEmpty(datasetFiles)) {
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throw new ServiceException(new ErrorCode(
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20000, "数据集文件不能为空"));
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}
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if (updateObj.getDatasetType() == 2){
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if (status != 2 ){
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if (updateObj.getDatasetType() == 2) {
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if (status != 2) {
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throw new ServiceException(new ErrorCode(
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20000, "评估数据集只能上传标注完成的数据"));
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}
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@ -253,7 +253,7 @@ public class DatasetServiceImpl implements DatasetService {
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}
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@Override
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public void deleteDataset (Long id) {
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public void deleteDataset(Long id) {
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// 校验存在
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validateDatasetExists(id);
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// 校验使用
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@ -262,7 +262,7 @@ public class DatasetServiceImpl implements DatasetService {
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datasetMapper.deleteById(id);
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}
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private void validateDatasetExists (Long id) {
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private void validateDatasetExists(Long id) {
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if (datasetMapper.selectById(id) == null) {
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throw exception(DATASET_NOT_EXISTS);
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}
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@ -273,7 +273,7 @@ public class DatasetServiceImpl implements DatasetService {
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*
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* @param id 数据集ID
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*/
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private void validateDatasetUse (Long id) {
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private void validateDatasetUse(Long id) {
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DatasetDO dataset = datasetMapper.selectById(id);
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String datasetName = dataset.getDatasetName();
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@ -293,7 +293,7 @@ public class DatasetServiceImpl implements DatasetService {
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* @param id 数据集ID
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* @param datasetName 数据集名称
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*/
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private void validateDatasetUsesInModelTuning (Long id, String datasetName) {
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private void validateDatasetUsesInModelTuning(Long id, String datasetName) {
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Map<Long, String> modelTuning = fineTuningTaskService.getModelTuningByDatasetId(id);
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if (CollectionUtils.isNotEmpty(modelTuning)) {
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String msg = String.format("数据集【%s】在模型调优 %s 有正在等待的任务，请先结束任务", datasetName, modelTuning.values());
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@ -307,7 +307,7 @@ public class DatasetServiceImpl implements DatasetService {
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* @param id 数据集ID
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* @param datasetName 数据集名称
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*/
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private void validateDatasetUsesInModelAssessTaskManual (Long id, String datasetName) {
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private void validateDatasetUsesInModelAssessTaskManual(Long id, String datasetName) {
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Map<Long, String> modelAssessmentTask = modelAssessTaskManualService.getModelAssessmentTaskByDatasetId(id);
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if (com.baomidou.mybatisplus.core.toolkit.CollectionUtils.isNotEmpty(modelAssessmentTask)) {
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String msg = String.format("数据集【%s】在模型评估-人工评估 %s 有正在进行的任务，请先结束任务", datasetName, modelAssessmentTask.values());
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@ -318,7 +318,7 @@ public class DatasetServiceImpl implements DatasetService {
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/**
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* 校验 数据集 是否在 模型评估任务-自动 有使用
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*
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* @param id 数据集ID
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* @param id 数据集ID
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* @param datasetName 数据集名称
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*/
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private void validateDatasetUsesInModelAssessTaskAuto(Long id, String datasetName) {
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@ -332,10 +332,10 @@ public class DatasetServiceImpl implements DatasetService {
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/**
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* 校验 数据集 是否在 模型评估任务备份-人工 有使用
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*
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* @param id 数据集ID
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* @param id 数据集ID
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* @param datasetName 数据集名称
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*/
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private void validateDatasetUsesInModelAssessTaskBackupManual (Long id, String datasetName) {
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private void validateDatasetUsesInModelAssessTaskBackupManual(Long id, String datasetName) {
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Map<Long, String> modelAssessmentTask = modelAssessTaskManualBackupService.getModelAssessmentTaskByDatasetId(id);
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if (CollectionUtils.isNotEmpty(modelAssessmentTask)) {
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String msg = String.format("数据集【%s】在模型评估-人工评估 %s 存在备份，请先取消备份", datasetName, modelAssessmentTask.values());
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@ -343,7 +343,7 @@ public class DatasetServiceImpl implements DatasetService {
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}
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}
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private void validateDatasetNameExists (DatasetSaveReqVO dateReqVO) {
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private void validateDatasetNameExists(DatasetSaveReqVO dateReqVO) {
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LambdaQueryWrapper<DatasetDO> wrapper = new LambdaQueryWrapper<DatasetDO>()
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.eq(DatasetDO::getDatasetName, dateReqVO.getDatasetName());
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@ -357,7 +357,7 @@ public class DatasetServiceImpl implements DatasetService {
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}
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@Override
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public DatasetRespVO getDataset (Long id) {
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public DatasetRespVO getDataset(Long id) {
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DatasetDO datasetDO = datasetMapper.selectById(id);
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DatasetRespVO datasetRespVO = BeanUtils.toBean(datasetDO, DatasetRespVO.class);
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List<DatasetFilesDO> datasetFilesDOS = datasetFilesMapper.selectList(new LambdaQueryWrapper<DatasetFilesDO>().eq(DatasetFilesDO::getDatasetId, id));
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@ -369,12 +369,12 @@ public class DatasetServiceImpl implements DatasetService {
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}
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@Override
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public PageResult<DatasetDO> getDatasetPage (DatasetPageReqVO pageReqVO) {
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public PageResult<DatasetDO> getDatasetPage(DatasetPageReqVO pageReqVO) {
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return datasetMapper.selectPage(pageReqVO);
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}
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@Override
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public List<DatasetTreeNode> queryAll () {
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public List<DatasetTreeNode> queryAll() {
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/*List<DatasetDO> datasetDOS0 = datasetMapper.selectList(new LambdaQueryWrapper<DatasetDO>().eq(DatasetDO::getType, DataConstants.dataTypePrivate));
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List<DatasetRespVO> datasetRespVOS0 = BeanUtils.toBean(datasetDOS0, DatasetRespVO.class);
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List<DatasetDO> datasetDOS1 = datasetMapper.selectList(new LambdaQueryWrapper<DatasetDO>().eq(DatasetDO::getType, DataConstants.dataTypePublic));
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@ -404,7 +404,7 @@ public class DatasetServiceImpl implements DatasetService {
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return root;
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}
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public void readZipFile (List<DatasetFilesDO> zipFiles, List<DatasetFilesSaveReqVO> datasetFiles) {
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public void readZipFile(List<DatasetFilesDO> zipFiles, List<DatasetFilesSaveReqVO> datasetFiles) {
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DatasetFilesSaveReqVO datasetFilesSaveReqVO = datasetFiles.get(0);
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List<DatasetFilesSaveReqVO> res = new ArrayList<>();
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zipFiles.forEach(datasetFilesDO -> {
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@ -446,7 +446,7 @@ public class DatasetServiceImpl implements DatasetService {
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parseFile(res);
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}
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public void readTarGzFile (List<DatasetFilesDO> tarGzFiles, List<DatasetFilesSaveReqVO> datasetFiles) {
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public void readTarGzFile(List<DatasetFilesDO> tarGzFiles, List<DatasetFilesSaveReqVO> datasetFiles) {
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DatasetFilesSaveReqVO datasetFilesSaveReqVO = datasetFiles.get(0);
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List<DatasetFilesSaveReqVO> res = new ArrayList<>();
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tarGzFiles.forEach(datasetFilesDO -> {
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@ -494,7 +494,7 @@ public class DatasetServiceImpl implements DatasetService {
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}
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// 暂时先不用
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public void readTarFile (List<DatasetFilesDO> tarFiles, List<DatasetFilesSaveReqVO> datasetFiles) {
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public void readTarFile(List<DatasetFilesDO> tarFiles, List<DatasetFilesSaveReqVO> datasetFiles) {
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DatasetFilesSaveReqVO datasetFilesSaveReqVO = datasetFiles.get(0);
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List<DatasetFilesSaveReqVO> res = new ArrayList<>();
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tarFiles.forEach(datasetFilesDO -> {
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@ -537,7 +537,7 @@ public class DatasetServiceImpl implements DatasetService {
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}
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public void readJsonFile (List<DatasetFilesDO> jsonFiles) {
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public void readJsonFile(List<DatasetFilesDO> jsonFiles) {
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jsonFiles.forEach(datasetFilesDO -> {
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HttpURLConnection connection = DataSetReadFileUtils.readFile(datasetFilesDO.getDatasetFileUrl());
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if (connection != null) {
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@ -547,32 +547,8 @@ public class DatasetServiceImpl implements DatasetService {
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while ((line = in.readLine()) != null) {
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content.append(line);
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}
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// 使用Jackson解析 Json 字符串为List<String>对象
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// 使用Jackson解析 Json 字符串为List<String>对象
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ObjectMapper mapper = new ObjectMapper();
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// 使用 TypeReference 解析 JSON 字符串为 List<String>
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List<DataJsonTemplate> jsonList = mapper.readValue(content.toString(), new TypeReference<List<DataJsonTemplate>>() {
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});
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jsonList.forEach(
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dataJsonTemplate -> {
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List<String> answers = dataJsonTemplate.getAnswers();
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DatasetQuestionDO datasetQuestionDO = BeanUtils.toBean(dataJsonTemplate, DatasetQuestionDO.class);
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datasetQuestionDO.setDatasetId(datasetFilesDO.getDatasetId());
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datasetQuestionDO.setDatasetFilesId(datasetFilesDO.getId());
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datasetQuestionDO.setStatus(CollectionUtils.isNotEmpty(answers) ? 2 : 0);
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datasetQuestionMapper.insert(datasetQuestionDO);
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if (CollectionUtils.isNotEmpty(answers)) {
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for (String answer : answers) {
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DatasetAnswerDO datasetAnswerDO = new DatasetAnswerDO();
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datasetAnswerDO.setDatasetId(datasetFilesDO.getDatasetId());
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datasetAnswerDO.setDatasetFilesId(datasetFilesDO.getId());
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datasetAnswerDO.setQuestionId(datasetQuestionDO.getId());
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datasetAnswerDO.setAnswer(answer);
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datasetAnswerMapper.insert(datasetAnswerDO);
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}
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}
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}
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);
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// 解析JSON数据
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jsonParsing(content, datasetFilesDO);
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} catch (Exception e) {
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throw exception(new ErrorCode(11000, "请正确上传json格式得数据！！！"));
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} finally {
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@ -582,31 +558,68 @@ public class DatasetServiceImpl implements DatasetService {
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});
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}
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private void jsonParsing(StringBuilder content, DatasetFilesDO datasetFilesDO) throws JsonProcessingException {
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// 使用Jackson解析 Json 字符串为List<String>对象
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// 使用Jackson解析 Json 字符串为List<String>对象
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ObjectMapper mapper = new ObjectMapper();
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// 使用 TypeReference 解析 JSON 字符串为 List<String>
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List<DataJsonTemplate> jsonList = mapper.readValue(content.toString(), new TypeReference<List<DataJsonTemplate>>() {
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});
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jsonList.forEach(
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dataJsonTemplate -> {
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List<String> answers = dataJsonTemplate.getAnswers();
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DatasetQuestionDO datasetQuestionDO = BeanUtils.toBean(dataJsonTemplate, DatasetQuestionDO.class);
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datasetQuestionDO.setDatasetId(datasetFilesDO.getDatasetId());
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datasetQuestionDO.setDatasetFilesId(datasetFilesDO.getId());
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datasetQuestionDO.setStatus(CollectionUtils.isNotEmpty(answers) ? 2 : 0);
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datasetQuestionMapper.insert(datasetQuestionDO);
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if (CollectionUtils.isNotEmpty(answers)) {
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for (String answer : answers) {
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DatasetAnswerDO datasetAnswerDO = new DatasetAnswerDO();
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datasetAnswerDO.setDatasetId(datasetFilesDO.getDatasetId());
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datasetAnswerDO.setDatasetFilesId(datasetFilesDO.getId());
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datasetAnswerDO.setQuestionId(datasetQuestionDO.getId());
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datasetAnswerDO.setAnswer(answer);
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datasetAnswerMapper.insert(datasetAnswerDO);
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}
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}
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}
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);
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}
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/**
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* txt文本数据
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*
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* @param txtFiles
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*/
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public void readTxtFile (List<DatasetFilesDO> txtFiles) {
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public void readTxtFile(List<DatasetFilesDO> txtFiles) {
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txtFiles.forEach(datasetFilesDO -> {
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List<String> newContent = new ArrayList<>();
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HttpURLConnection connection = DataSetReadFileUtils.readFile(datasetFilesDO.getDatasetFileUrl());
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if (connection != null) {
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try (BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream(), "UTF-8"))) {
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String inputLine;
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while ((inputLine = in.readLine()) != null) {
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inputLine = inputLine.trim(); // 去除行首和行尾的空白字符
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if (!inputLine.isEmpty()) {
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DatasetQuestionDO datasetQuestionDO = new DatasetQuestionDO();// 检查是否为空行
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datasetQuestionDO.setDatasetId(datasetFilesDO.getDatasetId());
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datasetQuestionDO.setDatasetFilesId(datasetFilesDO.getId());
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datasetQuestionDO.setQuestion(inputLine);
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datasetQuestionMapper.insert(datasetQuestionDO);
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}
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StringBuilder content = new StringBuilder();
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String line;
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while ((line = in.readLine()) != null) {
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content.append(line);
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}
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// 使用Jackson解析 JSON
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jsonParsing(content, datasetFilesDO);
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// String inputLine;
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// while ((inputLine = in.readLine()) != null) {
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// inputLine = inputLine.trim(); // 去除行首和行尾的空白字符
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// if (!inputLine.isEmpty()) {
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// DatasetQuestionDO datasetQuestionDO = new DatasetQuestionDO();// 检查是否为空行
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// datasetQuestionDO.setDatasetId(datasetFilesDO.getDatasetId());
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// datasetQuestionDO.setDatasetFilesId(datasetFilesDO.getId());
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// datasetQuestionDO.setQuestion(inputLine);
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// datasetQuestionMapper.insert(datasetQuestionDO);
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// }
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// }
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} catch (Exception e) {
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e.printStackTrace();
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throw exception(new ErrorCode(11001, "请正确上传txt格式得数据！！！"));
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} finally {
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connection.disconnect();
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}
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@ -619,7 +632,7 @@ public class DatasetServiceImpl implements DatasetService {
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*
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* @param csvFiles csv文件
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*/
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private void readCsvFile (List<DatasetFilesDO> csvFiles) {
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private void readCsvFile(List<DatasetFilesDO> csvFiles) {
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csvFiles.forEach(datasetFilesDO -> {
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try {
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@ -668,7 +681,7 @@ public class DatasetServiceImpl implements DatasetService {
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||||
*
|
||||
* @param xlsxFiles
|
||||
*/
|
||||
public void readXlsxFile (List<DatasetFilesDO> xlsxFiles) {
|
||||
public void readXlsxFile(List<DatasetFilesDO> xlsxFiles) {
|
||||
xlsxFiles.forEach(datasetFilesDO -> {
|
||||
Workbook sheets = DataSetReadFileUtils.readXlsxFromUrl(datasetFilesDO.getDatasetFileUrl());
|
||||
if (sheets != null) {
|
||||
@ -716,7 +729,7 @@ public class DatasetServiceImpl implements DatasetService {
|
||||
});
|
||||
}
|
||||
|
||||
public void parseFile (List<DatasetFilesSaveReqVO> datasetFiles) {
|
||||
public void parseFile(List<DatasetFilesSaveReqVO> datasetFiles) {
|
||||
List<DatasetFilesDO> insertDatasetFiles = BeanUtils.toBean(datasetFiles, DatasetFilesDO.class);
|
||||
datasetFilesMapper.insertBatch(insertDatasetFiles, 100);
|
||||
|
||||
|
||||
@ -1 +1,23 @@
|
||||
请根据下面的新闻生成摘要, 内容如下:新华社受权于18日全文播发修改后的《中华人民共和国立法法》，修改后的立法法分为“总则”“法律”“行政法规”“地方性法规、自治条例和单行条例、规章”“适用与备案审查”“附则”等6章，共计105条。\n生成摘要如下: [["修改后的立法法全文公布"]]
|
||||
[
|
||||
{
|
||||
"system": "你是一个专业的新闻摘要撰写助手，擅长使用简洁明了的语言来提炼核心信息。",
|
||||
"question": "据路透社报道，俄罗斯经济发展部部长AlexeiUlyukayev当地时间周六(1月31日)表示，俄经济发展部已向政府提交了2015年度经济发展指标最新预测，此次预测是基于原油年平均价格为每桶50美元，而去年12月份的预测基于原油年平均价格为每桶80美元",
|
||||
"answers": [
|
||||
"俄罗斯预计今年国内GDP将萎缩3%"
|
||||
]
|
||||
},
|
||||
{
|
||||
"system": "你是一个专业的新闻摘要撰写助手，擅长使用简洁明了的语言来提炼核心信息。",
|
||||
"question": "1973年一桩“奸污”谜案，将符福山的人生划成了对等的两半：前40年，他是人民教师；后40年，他被三女生揭发奸污，遭除名并一生背负辱名。40年后3个“被奸污”女生终承认真相：为能被推荐上高中，3人是受人蛊惑，作伪证诬告“遭奸污”。",
|
||||
"answers": [
|
||||
"海南教师被诬告奸污3女生背负辱名40年"
|
||||
]
|
||||
},
|
||||
{
|
||||
"system": "你是一个专业的新闻摘要撰写助手，擅长使用简洁明了的语言来提炼核心信息。",
|
||||
"question": "8日白天，海南北部地区阴天有小阵雨，南部地区多云。9、10日全岛多云。11日，一股较强冷空气来袭，全岛阴天为主，气温下降明显。岛民们未来一周看不见太阳了，要记得保暖防寒哦~南海君最不喜欢湿冷的天气了，你呢？",
|
||||
"answers": [
|
||||
"11日较强冷空气再袭海南"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user