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feature:数据集导入数据集支持选择归集任务导入 (#92)
* feature: 实现obs归集 * feature: 增加数据集中出现同名文件时的处理方式 * feature: 前端数据集导入数据时增加可以选择归集任务导入
This commit is contained in:
@@ -6,6 +6,7 @@ import com.datamate.collection.domain.model.entity.CollectionTask;
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import com.datamate.collection.domain.process.ProcessRunner;
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import com.datamate.collection.infrastructure.datax.config.MysqlConfig;
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import com.datamate.collection.infrastructure.datax.config.NasConfig;
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import com.datamate.collection.infrastructure.datax.config.ObsConfig;
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import com.datamate.common.infrastructure.exception.BusinessException;
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import com.datamate.common.infrastructure.exception.SystemErrorCode;
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import com.fasterxml.jackson.databind.ObjectMapper;
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@@ -92,18 +93,21 @@ public class DataxProcessRunner implements ProcessRunner {
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try {
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ObjectMapper objectMapper = new ObjectMapper();
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TemplateType templateType = task.getTaskType();
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switch (templateType) {
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case NAS:
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return switch (templateType) {
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case NAS -> {
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// NAS 特殊处理
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NasConfig nasConfig = objectMapper.readValue(task.getConfig(), NasConfig.class);
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return nasConfig.toJobConfig(objectMapper, task);
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case OBS:
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case MYSQL:
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yield nasConfig.toJobConfig(objectMapper, task);
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}
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case OBS -> {
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ObsConfig obsConfig = objectMapper.readValue(task.getConfig(), ObsConfig.class);
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yield obsConfig.toJobConfig(objectMapper, task);
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}
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case MYSQL -> {
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MysqlConfig mysqlConfig = objectMapper.readValue(task.getConfig(), MysqlConfig.class);
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return mysqlConfig.toJobConfig(objectMapper, task);
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default:
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throw BusinessException.of(SystemErrorCode.UNKNOWN_ERROR, "Unsupported template type: " + templateType);
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}
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yield mysqlConfig.toJobConfig(objectMapper, task);
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}
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};
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} catch (Exception e) {
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log.error("Failed to parse task config", e);
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throw new RuntimeException("Failed to parse task config", e);
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@@ -0,0 +1,61 @@
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package com.datamate.collection.infrastructure.datax.config;
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import com.datamate.collection.domain.model.entity.CollectionTask;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import lombok.Getter;
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import lombok.Setter;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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/**
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* OBS 归集配置类
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*
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* @since 2025/11/18
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*/
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@Getter
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@Setter
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public class ObsConfig implements BaseConfig{
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private String endpoint;
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private String bucket;
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private String accessKey;
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private String secretKey;
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private String prefix;
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/**
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* 将当前 OBS 配置构造成 DataX 所需的 job JSON 字符串。
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*/
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public String toJobConfig(ObjectMapper objectMapper, CollectionTask task) throws Exception {
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Map<String, Object> parameter = new HashMap<>();
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if (endpoint != null) parameter.put("endpoint", endpoint);
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if (bucket != null) parameter.put("bucket", bucket);
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if (accessKey != null) parameter.put("accessKey", accessKey);
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if (secretKey != null) parameter.put("secretKey", secretKey);
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if (prefix != null) parameter.put("prefix", prefix);
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parameter.put("destPath", task.getTargetPath());
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Map<String, Object> job = new HashMap<>();
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Map<String, Object> content = new HashMap<>();
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Map<String, Object> reader = new HashMap<>();
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reader.put("name", "obsreader");
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reader.put("parameter", parameter);
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content.put("reader", reader);
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Map<String, Object> writer = new HashMap<>();
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writer.put("name", "obswriter");
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writer.put("parameter", parameter);
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content.put("writer", writer);
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job.put("content", List.of(content));
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Map<String, Object> setting = new HashMap<>();
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Map<String, Object> channel = new HashMap<>();
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channel.put("channel", 2);
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setting.put("speed", channel);
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job.put("setting", setting);
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Map<String, Object> jobConfig = new HashMap<>();
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jobConfig.put("job", job);
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return objectMapper.writeValueAsString(jobConfig);
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}
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}
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@@ -11,14 +11,12 @@ import com.datamate.datamanagement.domain.model.dataset.DatasetFile;
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import com.datamate.datamanagement.domain.model.dataset.Tag;
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import com.datamate.datamanagement.infrastructure.client.CollectionTaskClient;
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import com.datamate.datamanagement.infrastructure.client.dto.CollectionTaskDetailResponse;
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import com.datamate.datamanagement.infrastructure.client.dto.LocalCollectionConfig;
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import com.datamate.datamanagement.infrastructure.exception.DataManagementErrorCode;
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import com.datamate.datamanagement.infrastructure.persistence.mapper.TagMapper;
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import com.datamate.datamanagement.infrastructure.persistence.repository.DatasetFileRepository;
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import com.datamate.datamanagement.infrastructure.persistence.repository.DatasetRepository;
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import com.datamate.datamanagement.interfaces.converter.DatasetConverter;
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import com.datamate.datamanagement.interfaces.dto.*;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.collections4.CollectionUtils;
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@@ -28,11 +26,13 @@ import org.springframework.stereotype.Service;
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import org.springframework.transaction.annotation.Transactional;
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import org.springframework.util.StringUtils;
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import java.io.IOException;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.nio.file.Paths;
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import java.util.*;
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import java.util.function.Function;
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import java.util.stream.Collectors;
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import java.util.stream.Stream;
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/**
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* 数据集应用服务(对齐 DB schema,使用 UUID 字符串主键)
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@@ -46,8 +46,7 @@ public class DatasetApplicationService {
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private final TagMapper tagMapper;
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private final DatasetFileRepository datasetFileRepository;
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private final CollectionTaskClient collectionTaskClient;
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private final FileMetadataService fileMetadataService;
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private final ObjectMapper objectMapper;
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private final DatasetFileApplicationService datasetFileApplicationService;
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@Value("${datamate.data-management.base-path:/dataset}")
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private String datasetBasePath;
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@@ -223,68 +222,38 @@ public class DatasetApplicationService {
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@Async
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public void processDataSourceAsync(String datasetId, String dataSourceId) {
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try {
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log.info("开始处理数据源文件扫描,数据集ID: {}, 数据源ID: {}", datasetId, dataSourceId);
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log.info("Initiating data source file scanning, dataset ID: {}, collection task ID: {}", datasetId, dataSourceId);
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List<String> filePaths = getFilePaths(dataSourceId);
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if (CollectionUtils.isEmpty(filePaths)) {
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return;
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}
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log.info("开始扫描文件,共 {} 个文件路径", filePaths.size());
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List<DatasetFile> datasetFiles = fileMetadataService.scanFiles(filePaths, datasetId);
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// 查询数据集中已存在的文件
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List<DatasetFile> existDatasetFileList = datasetFileRepository.findAllByDatasetId(datasetId);
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Map<String, DatasetFile> existDatasetFilePathMap = existDatasetFileList.stream().collect(Collectors.toMap(DatasetFile::getFilePath, Function.identity()));
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Dataset dataset = datasetRepository.getById(datasetId);
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dataset.setFiles(existDatasetFileList);
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// 批量同步数据集文件表
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asyncDatasetFile(datasetFiles, existDatasetFilePathMap, dataset, existDatasetFileList, filePaths);
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datasetRepository.updateById(dataset);
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log.info("Starting file scan, total files: {}", filePaths.size());
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datasetFileApplicationService.copyFilesToDatasetDir(datasetId, new CopyFilesRequest(filePaths));
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} catch (Exception e) {
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log.error("处理数据源文件扫描失败,数据集ID: {}, 数据源ID: {}", datasetId, dataSourceId, e);
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}
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}
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private void asyncDatasetFile(List<DatasetFile> datasetFiles, Map<String, DatasetFile> existDatasetFilePathMap, Dataset dataset, List<DatasetFile> existDatasetFileList, List<String> filePaths) {
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if (CollectionUtils.isNotEmpty(datasetFiles)) {
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for (DatasetFile datasetFile : datasetFiles) {
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if (existDatasetFilePathMap.containsKey(datasetFile.getFilePath())) {
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DatasetFile existDatasetFile = existDatasetFilePathMap.get(datasetFile.getFilePath());
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dataset.removeFile(existDatasetFile);
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existDatasetFile.setFileSize(datasetFile.getFileSize());
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dataset.addFile(existDatasetFile);
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dataset.active();
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datasetFileRepository.updateById(existDatasetFile);
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} else {
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dataset.addFile(datasetFile);
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dataset.active();
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datasetFileRepository.save(datasetFile);
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}
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}
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log.info("文件元数据写入完成,共写入 {} 条记录", datasetFiles.size());
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} else {
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log.warn("未扫描到有效文件");
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}
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for (DatasetFile datasetFile : existDatasetFileList) {
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String existFilePath = datasetFile.getFilePath();
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for (String filePath : filePaths) {
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if (existFilePath.equals(filePath) || existFilePath.startsWith(filePath)) {
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if (Files.notExists(Paths.get(existFilePath))) {
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dataset.removeFile(datasetFile);
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datasetFileRepository.removeById(datasetFile.getId());
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}
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}
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}
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}
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}
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private List<String> getFilePaths(String dataSourceId) {
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CollectionTaskDetailResponse taskDetail = collectionTaskClient.getTaskDetail(dataSourceId).getData();
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if (taskDetail == null) {
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log.warn("获取归集任务详情失败,任务ID: {}", dataSourceId);
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log.warn("Fail to get collection task detail, task ID: {}", dataSourceId);
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return Collections.emptyList();
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}
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Path targetPath = Paths.get(taskDetail.getTargetPath());
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if (!Files.exists(targetPath) || !Files.isDirectory(targetPath)) {
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log.warn("Target path not exists or is not a directory: {}", taskDetail.getTargetPath());
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return Collections.emptyList();
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}
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try (Stream<Path> paths = Files.walk(targetPath, 1)) {
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return paths
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.filter(Files::isRegularFile) // 只保留文件,排除目录
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.map(Path::toString) // 转换为字符串路径
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.collect(Collectors.toList());
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} catch (IOException e) {
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log.error("Fail to scan directory: {}", targetPath, e);
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return Collections.emptyList();
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}
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log.info("获取到归集任务详情: {}", taskDetail);
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return Collections.singletonList(taskDetail.getTargetPath());
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}
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}
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@@ -7,10 +7,12 @@ import com.datamate.common.domain.utils.AnalyzerUtils;
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import com.datamate.common.infrastructure.exception.BusinessAssert;
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import com.datamate.common.infrastructure.exception.BusinessException;
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import com.datamate.common.infrastructure.exception.SystemErrorCode;
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import com.datamate.datamanagement.common.enums.DuplicateMethod;
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import com.datamate.datamanagement.domain.contants.DatasetConstant;
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import com.datamate.datamanagement.domain.model.dataset.Dataset;
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import com.datamate.datamanagement.domain.model.dataset.DatasetFile;
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import com.datamate.datamanagement.domain.model.dataset.DatasetFileUploadCheckInfo;
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import com.datamate.datamanagement.infrastructure.exception.DataManagementErrorCode;
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import com.datamate.datamanagement.infrastructure.persistence.repository.DatasetFileRepository;
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import com.datamate.datamanagement.infrastructure.persistence.repository.DatasetRepository;
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import com.datamate.datamanagement.interfaces.converter.DatasetConverter;
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@@ -45,6 +47,8 @@ import java.time.LocalDateTime;
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import java.time.format.DateTimeFormatter;
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import java.util.*;
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import java.util.concurrent.CompletableFuture;
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import java.util.function.Function;
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import java.util.stream.Collectors;
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import java.util.zip.ZipEntry;
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import java.util.zip.ZipOutputStream;
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@@ -63,6 +67,9 @@ public class DatasetFileApplicationService {
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@Value("${datamate.data-management.base-path:/dataset}")
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private String datasetBasePath;
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@Value("${datamate.data-management.file.duplicate:COVER}")
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private DuplicateMethod duplicateMethod;
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@Autowired
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public DatasetFileApplicationService(DatasetFileRepository datasetFileRepository,
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DatasetRepository datasetRepository, FileService fileService) {
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@@ -254,13 +261,36 @@ public class DatasetFileApplicationService {
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.filePath(savedFile.getPath())
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.fileType(AnalyzerUtils.getExtension(uploadFile.getFileName()))
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.build();
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datasetFileRepository.save(datasetFile);
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dataset.setFiles(datasetFileRepository.findAllByDatasetId(datasetId));
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setDatasetFileId(datasetFile, dataset);
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datasetFileRepository.saveOrUpdate(datasetFile);
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dataset.addFile(datasetFile);
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dataset.active();
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datasetRepository.updateById(dataset);
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}
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/**
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* 为数据集文件设置文件id
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*
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* @param datasetFile 要设置id的文件
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* @param dataset 数据集(包含文件列表)
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*/
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private void setDatasetFileId(DatasetFile datasetFile, Dataset dataset) {
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Map<String, DatasetFile> existDatasetFilMap = dataset.getFiles().stream().collect(Collectors.toMap(DatasetFile::getFilePath, Function.identity()));
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DatasetFile existDatasetFile = existDatasetFilMap.get(datasetFile.getFilePath());
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if (Objects.isNull(existDatasetFile)) {
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return;
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}
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if (duplicateMethod == DuplicateMethod.ERROR) {
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log.error("file {} already exists in dataset {}", datasetFile.getFileName(), datasetFile.getDatasetId());
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throw BusinessException.of(DataManagementErrorCode.DATASET_FILE_ALREADY_EXISTS);
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}
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if (duplicateMethod == DuplicateMethod.COVER) {
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dataset.removeFile(existDatasetFile);
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datasetFile.setId(existDatasetFile.getId());
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}
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}
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/**
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* 复制文件到数据集目录
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*
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@@ -273,6 +303,8 @@ public class DatasetFileApplicationService {
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Dataset dataset = datasetRepository.getById(datasetId);
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BusinessAssert.notNull(dataset, SystemErrorCode.RESOURCE_NOT_FOUND);
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List<DatasetFile> copiedFiles = new ArrayList<>();
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List<DatasetFile> existDatasetFiles = datasetFileRepository.findAllByDatasetId(datasetId);
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dataset.setFiles(existDatasetFiles);
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for (String sourceFilePath : req.sourcePaths()) {
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Path sourcePath = Paths.get(sourceFilePath);
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if (!Files.exists(sourcePath) || !Files.isRegularFile(sourcePath)) {
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@@ -292,10 +324,11 @@ public class DatasetFileApplicationService {
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.uploadTime(currentTime)
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.lastAccessTime(currentTime)
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.build();
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setDatasetFileId(datasetFile, dataset);
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dataset.addFile(datasetFile);
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copiedFiles.add(datasetFile);
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}
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datasetFileRepository.saveBatch(copiedFiles, 100);
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datasetFileRepository.saveOrUpdateBatch(copiedFiles, 100);
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dataset.active();
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datasetRepository.updateById(dataset);
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CompletableFuture.runAsync(() -> copyFilesToDatasetDir(req.sourcePaths(), dataset));
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@@ -1,127 +0,0 @@
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package com.datamate.datamanagement.application;
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import com.datamate.datamanagement.domain.model.dataset.DatasetFile;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.stereotype.Service;
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import java.io.IOException;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.nio.file.Paths;
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import java.time.LocalDateTime;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.UUID;
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/**
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* 文件元数据扫描服务
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*/
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@Slf4j
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@Service
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public class FileMetadataService {
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/**
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* 扫描文件路径列表,提取文件元数据
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* @param datasetId 数据集ID
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* @return 数据集文件列表
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*/
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public List<DatasetFile> scanFiles(List<String> filePaths, String datasetId) {
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List<DatasetFile> datasetFiles = new ArrayList<>();
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if (filePaths == null || filePaths.isEmpty()) {
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log.warn("文件路径列表为空,跳过扫描");
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return datasetFiles;
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}
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for (String filePath : filePaths) {
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try {
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Path path = Paths.get(filePath);
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if (!Files.exists(path)) {
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log.warn("路径不存在: {}", filePath);
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continue;
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}
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if (Files.isDirectory(path)) {
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scanDirectory(datasetId, filePath, path, datasetFiles);
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} else {
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// 如果是文件,直接处理
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DatasetFile datasetFile = extractFileMetadata(filePath, datasetId);
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if (datasetFile != null) {
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datasetFiles.add(datasetFile);
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}
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}
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} catch (Exception e) {
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log.error("扫描路径失败: {}, 错误: {}", filePath, e.getMessage(), e);
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}
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}
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log.info("文件扫描完成,共扫描 {} 个文件", datasetFiles.size());
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return datasetFiles;
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}
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private void scanDirectory(String datasetId, String filePath, Path path,
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List<DatasetFile> datasetFiles) throws IOException {
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// 如果是目录,扫描该目录下的所有文件(非递归)
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List<Path> filesInDir = Files.list(path)
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.filter(Files::isRegularFile)
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.toList();
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for (Path file : filesInDir) {
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try {
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DatasetFile datasetFile = extractFileMetadata(file.toString(), datasetId);
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if (datasetFile != null) {
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datasetFiles.add(datasetFile);
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}
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} catch (Exception e) {
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log.error("处理目录中的文件失败: {}, 错误: {}", file, e.getMessage(), e);
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}
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}
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log.info("已扫描目录 {} 下的 {} 个文件", filePath, filesInDir.size());
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}
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/**
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* @param filePath 文件路径
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* @param datasetId 数据集ID
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* @return 数据集文件对象
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*/
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private DatasetFile extractFileMetadata(String filePath, String datasetId) throws IOException {
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Path path = Paths.get(filePath);
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if (!Files.exists(path)) {
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log.warn("文件不存在: {}", filePath);
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return null;
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}
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||||
|
||||
if (!Files.isRegularFile(path)) {
|
||||
log.warn("路径不是文件: {}", filePath);
|
||||
return null;
|
||||
}
|
||||
|
||||
String fileName = path.getFileName().toString();
|
||||
long fileSize = Files.size(path);
|
||||
String fileType = getFileExtension(fileName);
|
||||
|
||||
return DatasetFile.builder()
|
||||
.id(UUID.randomUUID().toString())
|
||||
.datasetId(datasetId)
|
||||
.fileName(fileName)
|
||||
.filePath(filePath)
|
||||
.fileSize(fileSize)
|
||||
.fileType(fileType)
|
||||
.uploadTime(LocalDateTime.now())
|
||||
.lastAccessTime(LocalDateTime.now())
|
||||
.status("ACTIVE")
|
||||
.build();
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取文件扩展名
|
||||
*/
|
||||
private String getFileExtension(String fileName) {
|
||||
int lastDotIndex = fileName.lastIndexOf('.');
|
||||
if (lastDotIndex > 0 && lastDotIndex < fileName.length() - 1) {
|
||||
return fileName.substring(lastDotIndex + 1).toLowerCase();
|
||||
}
|
||||
return "unknown";
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,11 @@
|
||||
package com.datamate.datamanagement.common.enums;
|
||||
|
||||
/**
|
||||
* 文件重名时的处理方式
|
||||
*
|
||||
* @since 2025/11/18
|
||||
*/
|
||||
public enum DuplicateMethod {
|
||||
ERROR,
|
||||
COVER
|
||||
}
|
||||
@@ -32,7 +32,11 @@ public enum DataManagementErrorCode implements ErrorCode {
|
||||
/**
|
||||
* 数据集标签已存在
|
||||
*/
|
||||
DATASET_TAG_ALREADY_EXISTS("data_management.0005", "数据集标签已存在");
|
||||
DATASET_TAG_ALREADY_EXISTS("data_management.0005", "数据集标签已存在"),
|
||||
/**
|
||||
* 数据集标签已存在
|
||||
*/
|
||||
DATASET_FILE_ALREADY_EXISTS("data_management.0006", "数据集文件已存在");
|
||||
|
||||
private final String code;
|
||||
private final String message;
|
||||
|
||||
@@ -33,4 +33,6 @@ public class CreateDatasetRequest {
|
||||
private List<String> tags;
|
||||
/** 数据源 */
|
||||
private String dataSource;
|
||||
/** 保留天数 */
|
||||
private Integer retentionDays;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user