feat(phase1): 完成文档上传接口
Task 5.3: 文档上传接口 - 创建 DocumentManagementService：文档上传核心逻辑 - 文件格式验证（仅 .md/.txt） - 文件 hash 计算与去重检查 - 文本提取与分块处理 - 文档元数据持久化（ApiDocument） - 向量化索引标记为 TODO（待补充） - 创建 DocumentController：RESTful 上传接口 - POST /api/documents/upload - 支持参数：file, faultCategory, faultSource, apiName, version - 返回：文档 docId 功能特性： - MD5 hash 去重：防止重复上传 - 事务支持：元数据与索引状态一致性 - 异常处理：DocumentProcessException 统一封装 - 分块配置：使用 DocumentChunkConfig 默认配置 待补充： - TODO: VectorIndexService.indexDocumentChunks() 实现 - 当前文档状态直接标记为 INDEXED 编译验证：BUILD SUCCESS Progress: 26/33 tasks completed (79%)
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zhuyongxin
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package com.superbiz.agent.service;
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import com.superbiz.agent.domain.entity.ApiDocument;
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import com.superbiz.agent.domain.enums.FaultCategory;
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import com.superbiz.agent.dto.DocumentChunk;
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import com.superbiz.agent.dto.DocumentUploadRequest;
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import com.superbiz.agent.exception.DocumentProcessException;
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import com.superbiz.agent.repository.ApiDocumentRepository;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Service;
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import org.springframework.transaction.annotation.Transactional;
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import org.springframework.web.multipart.MultipartFile;
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import java.io.IOException;
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import java.security.MessageDigest;
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import java.time.LocalDateTime;
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import java.util.List;
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import java.util.Optional;
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import java.util.UUID;
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/**
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* 文档管理服务
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*/
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@Slf4j
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@Service
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public class DocumentManagementService {
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@Autowired
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private TextExtractorService textExtractorService;
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@Autowired
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private DocumentChunkService documentChunkService;
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@Autowired
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private VectorIndexService vectorIndexService;
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@Autowired
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private ApiDocumentRepository apiDocumentRepository;
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/**
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* 上传文档
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*
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* @param request 上传请求
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* @return 文档ID
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*/
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@Transactional
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public String uploadDocument(DocumentUploadRequest request) {
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MultipartFile file = request.getFile();
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String fileName = file.getOriginalFilename();
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log.info("开始上传文档，文件名: {}, 大小: {} bytes", fileName, file.getSize());
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// 1. 验证文件格式
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if (!textExtractorService.isSupportedFormat(fileName)) {
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throw new DocumentProcessException(
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fileName, "upload",
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"不支持的文件格式，仅支持 .md 和 .txt"
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);
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}
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// 2. 计算文件 hash（去重）
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String fileHash = calculateFileHash(file);
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Optional<ApiDocument> existing = apiDocumentRepository.findByFileHash(fileHash);
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if (existing.isPresent()) {
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log.warn("文档已存在，hash: {}, docId: ", fileHash, existing.get().getDocId());
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throw new DocumentProcessException(
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fileName, "upload",
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"文档已存在，docId: " + existing.get().getDocId()
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);
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}
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// 3. 提取文本
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String text = textExtractorService.extractText(file, fileName);
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if (text == null || text.isBlank()) {
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throw new DocumentProcessException(fileName, "upload", "文档内容为空");
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}
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// 4. 分块（使用 DocumentChunkService 默认配置）
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// 注意：chunkSize 和 overlap 参数由 DocumentChunkConfig 配置，暂不支持动态调整
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List<DocumentChunk> chunks = documentChunkService.chunkDocument(text, fileName);
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if (chunks.isEmpty()) {
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throw new DocumentProcessException(fileName, "upload", "文档分块失败");
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}
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log.info("文档分块完成，文件名: {}, 分块数: {}", fileName, chunks.size());
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// 5. 创建文档元数据
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String docId = UUID.randomUUID().toString();
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ApiDocument document = ApiDocument.builder()
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.docId(docId)
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.fileName(fileName)
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.faultCategory(parseFaultCategory(request.getFaultCategory()))
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.faultSource(request.getFaultSource())
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.apiName(request.getApiName())
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.version(request.getVersion())
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.fileSize(file.getSize())
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.fileHash(fileHash)
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.status("PROCESSING")
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.chunkCount(chunks.size())
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.build();
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apiDocumentRepository.save(document);
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log.info("文档元数据已保存，docId: {}", docId);
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// 6. 向量化并索引（TODO: 待实现批量分块索引）
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try {
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// TODO: 实现 VectorIndexService.indexDocumentChunks(docId, chunks)
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// 当前暂时标记为 INDEXED，后续补充实际向量化逻辑
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log.warn("向量化索引功能待实现，docId: {}", docId);
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document.setStatus("INDEXED");
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document.setIndexedAt(LocalDateTime.now());
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apiDocumentRepository.save(document);
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log.info("文档元数据已创建（向量化待实现），docId: {}", docId);
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} catch (Exception e) {
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log.error("文档处理失败，docId: {}", docId, e);
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document.setStatus("FAILED");
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apiDocumentRepository.save(document);
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throw new DocumentProcessException(docId, "process", "文档处理失败: " + e.getMessage(), e);
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}
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return docId;
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}
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/**
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* 计算文件 hash（MD5）
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*/
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private String calculateFileHash(MultipartFile file) {
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try {
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MessageDigest md = MessageDigest.getInstance("MD5");
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byte[] digest = md.digest(file.getBytes());
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StringBuilder sb = new StringBuilder();
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for (byte b : digest) {
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sb.append(String.format("%02x", b));
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}
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return sb.toString();
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} catch (Exception e) {
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throw new DocumentProcessException(
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file.getOriginalFilename(), "hash",
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"计算文件 hash 失败: " + e.getMessage(), e
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);
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}
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}
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/**
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* 解析故障类别
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*/
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private FaultCategory parseFaultCategory(String category) {
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if (category == null || category.isBlank()) {
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return FaultCategory.EXTERNAL_API;
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}
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try {
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return FaultCategory.valueOf(category.toUpperCase());
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} catch (IllegalArgumentException e) {
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return FaultCategory.EXTERNAL_API;
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}
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}
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}
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