添加图片识别千问大模型
This commit is contained in:
@@ -0,0 +1,77 @@
|
||||
package com.klp.service;
|
||||
|
||||
import com.klp.domain.bo.ImageRecognitionBo;
|
||||
import com.klp.domain.vo.ImageRecognitionVo;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* 图片识别服务接口
|
||||
*
|
||||
* @author klp
|
||||
* @date 2025-01-27
|
||||
*/
|
||||
public interface IImageRecognitionService {
|
||||
|
||||
/**
|
||||
* 识别图片内容
|
||||
*
|
||||
* @param bo 识别请求参数
|
||||
* @return 识别结果
|
||||
*/
|
||||
ImageRecognitionVo recognizeImage(ImageRecognitionBo bo);
|
||||
|
||||
/**
|
||||
* 批量识别图片
|
||||
*
|
||||
* @param boList 识别请求参数列表
|
||||
* @return 识别结果列表
|
||||
*/
|
||||
List<ImageRecognitionVo> recognizeImages(List<ImageRecognitionBo> boList);
|
||||
|
||||
/**
|
||||
* 识别BOM内容
|
||||
*
|
||||
* @param bo 识别请求参数
|
||||
* @return BOM识别结果
|
||||
*/
|
||||
ImageRecognitionVo recognizeBom(ImageRecognitionBo bo);
|
||||
|
||||
/**
|
||||
* 识别文字内容
|
||||
*
|
||||
* @param bo 识别请求参数
|
||||
* @return 文字识别结果
|
||||
*/
|
||||
ImageRecognitionVo recognizeText(ImageRecognitionBo bo);
|
||||
|
||||
/**
|
||||
* 测试AI连接
|
||||
*
|
||||
* @return 连接测试结果
|
||||
*/
|
||||
Map<String, Object> testAiConnection();
|
||||
|
||||
/**
|
||||
* 获取识别配置
|
||||
*
|
||||
* @return 配置信息
|
||||
*/
|
||||
Map<String, Object> getRecognitionConfig();
|
||||
|
||||
/**
|
||||
* 更新识别配置
|
||||
*
|
||||
* @param config 配置信息
|
||||
*/
|
||||
void updateRecognitionConfig(Map<String, Object> config);
|
||||
|
||||
/**
|
||||
* 获取识别历史
|
||||
*
|
||||
* @param pageQuery 分页查询参数
|
||||
* @return 识别历史列表
|
||||
*/
|
||||
Map<String, Object> getRecognitionHistory(Map<String, Object> pageQuery);
|
||||
}
|
||||
@@ -0,0 +1,490 @@
|
||||
package com.klp.service.impl;
|
||||
|
||||
import com.fasterxml.jackson.core.JsonProcessingException;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.klp.config.ImageRecognitionConfig;
|
||||
import com.klp.domain.bo.ImageRecognitionBo;
|
||||
import com.klp.domain.vo.ImageRecognitionVo;
|
||||
import com.klp.service.IImageRecognitionService;
|
||||
import com.klp.utils.ImageProcessingUtils;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.beans.factory.annotation.Qualifier;
|
||||
import org.springframework.http.*;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.web.client.RestTemplate;
|
||||
|
||||
import java.util.*;
|
||||
import java.util.concurrent.CompletableFuture;
|
||||
import java.util.concurrent.ExecutorService;
|
||||
import java.util.concurrent.Executors;
|
||||
import java.util.regex.Matcher;
|
||||
import java.util.regex.Pattern;
|
||||
|
||||
/**
|
||||
* 图片识别服务实现类
|
||||
*
|
||||
* @author klp
|
||||
* @date 2025-01-27
|
||||
*/
|
||||
@Slf4j
|
||||
@RequiredArgsConstructor
|
||||
@Service
|
||||
public class ImageRecognitionServiceImpl implements IImageRecognitionService {
|
||||
|
||||
private final ImageRecognitionConfig config;
|
||||
private final ImageProcessingUtils imageProcessingUtils;
|
||||
|
||||
@Qualifier("salesScriptRestTemplate")
|
||||
private final RestTemplate restTemplate;
|
||||
|
||||
private final ObjectMapper objectMapper = new ObjectMapper();
|
||||
private final ExecutorService executorService = Executors.newFixedThreadPool(5);
|
||||
|
||||
@Override
|
||||
public ImageRecognitionVo recognizeImage(ImageRecognitionBo bo) {
|
||||
long startTime = System.currentTimeMillis();
|
||||
ImageRecognitionVo result = new ImageRecognitionVo();
|
||||
|
||||
try {
|
||||
// 验证图片URL
|
||||
if (!imageProcessingUtils.isValidImageUrl(bo.getImageUrl())) {
|
||||
throw new RuntimeException("无效的图片URL");
|
||||
}
|
||||
|
||||
// 根据识别类型调用不同的识别方法
|
||||
switch (bo.getRecognitionType()) {
|
||||
case "bom":
|
||||
result = recognizeBom(bo);
|
||||
break;
|
||||
case "text":
|
||||
result = recognizeText(bo);
|
||||
break;
|
||||
default:
|
||||
result = recognizeGeneral(bo);
|
||||
break;
|
||||
}
|
||||
|
||||
result.setStatus("success");
|
||||
result.setProcessingTime(System.currentTimeMillis() - startTime);
|
||||
|
||||
} catch (Exception e) {
|
||||
log.error("图片识别失败", e);
|
||||
result.setStatus("failed");
|
||||
result.setErrorMessage(e.getMessage());
|
||||
result.setProcessingTime(System.currentTimeMillis() - startTime);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<ImageRecognitionVo> recognizeImages(List<ImageRecognitionBo> boList) {
|
||||
List<CompletableFuture<ImageRecognitionVo>> futures = new ArrayList<>();
|
||||
|
||||
for (ImageRecognitionBo bo : boList) {
|
||||
CompletableFuture<ImageRecognitionVo> future = CompletableFuture.supplyAsync(() ->
|
||||
recognizeImage(bo), executorService);
|
||||
futures.add(future);
|
||||
}
|
||||
|
||||
List<ImageRecognitionVo> results = new ArrayList<>();
|
||||
for (CompletableFuture<ImageRecognitionVo> future : futures) {
|
||||
try {
|
||||
results.add(future.get());
|
||||
} catch (Exception e) {
|
||||
log.error("批量识别失败", e);
|
||||
ImageRecognitionVo errorResult = new ImageRecognitionVo();
|
||||
errorResult.setStatus("failed");
|
||||
errorResult.setErrorMessage(e.getMessage());
|
||||
results.add(errorResult);
|
||||
}
|
||||
}
|
||||
|
||||
return results;
|
||||
}
|
||||
|
||||
@Override
|
||||
public ImageRecognitionVo recognizeBom(ImageRecognitionBo bo) {
|
||||
String prompt = buildBomPrompt(bo);
|
||||
String aiResponse = callAiApi(bo.getImageUrl(), prompt, bo.getEnableVoting(), bo.getVotingRounds());
|
||||
|
||||
ImageRecognitionVo result = new ImageRecognitionVo();
|
||||
result.setImageUrl(bo.getImageUrl());
|
||||
result.setRecognitionType("bom");
|
||||
result.setRecognizedText(aiResponse);
|
||||
|
||||
// 解析BOM信息
|
||||
try {
|
||||
Map<String, Object> structuredResult = parseBomResponse(aiResponse);
|
||||
result.setStructuredResult(structuredResult);
|
||||
|
||||
// 提取BOM项目列表
|
||||
List<ImageRecognitionVo.BomItemVo> bomItems = extractBomItems(structuredResult);
|
||||
result.setBomItems(bomItems);
|
||||
|
||||
} catch (Exception e) {
|
||||
log.warn("解析BOM响应失败: {}", e.getMessage());
|
||||
result.setRecognizedText(aiResponse);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
@Override
|
||||
public ImageRecognitionVo recognizeText(ImageRecognitionBo bo) {
|
||||
String prompt = buildTextPrompt(bo);
|
||||
String aiResponse = callAiApi(bo.getImageUrl(), prompt, bo.getEnableVoting(), bo.getVotingRounds());
|
||||
|
||||
ImageRecognitionVo result = new ImageRecognitionVo();
|
||||
result.setImageUrl(bo.getImageUrl());
|
||||
result.setRecognitionType("text");
|
||||
result.setRecognizedText(aiResponse);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<String, Object> testAiConnection() {
|
||||
Map<String, Object> result = new HashMap<>();
|
||||
try {
|
||||
// 构建测试请求
|
||||
Map<String, Object> requestBody = new HashMap<>();
|
||||
requestBody.put("model", config.getModelName());
|
||||
|
||||
Map<String, String> message = new HashMap<>();
|
||||
message.put("role", "user");
|
||||
message.put("content", "你好");
|
||||
requestBody.put("messages", Arrays.asList(message));
|
||||
requestBody.put("max_tokens", 10);
|
||||
|
||||
HttpHeaders headers = new HttpHeaders();
|
||||
headers.setContentType(MediaType.APPLICATION_JSON);
|
||||
headers.setBearerAuth(config.getApiKey());
|
||||
|
||||
HttpEntity<Map<String, Object>> entity = new HttpEntity<>(requestBody, headers);
|
||||
ResponseEntity<Map> response = restTemplate.postForEntity(
|
||||
config.getApiUrl(), entity, Map.class);
|
||||
|
||||
result.put("success", true);
|
||||
result.put("message", "AI连接测试成功");
|
||||
result.put("response", response.getBody());
|
||||
} catch (Exception e) {
|
||||
log.error("AI连接测试失败", e);
|
||||
result.put("success", false);
|
||||
result.put("message", "AI连接测试失败: " + e.getMessage());
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<String, Object> getRecognitionConfig() {
|
||||
Map<String, Object> configMap = new HashMap<>();
|
||||
configMap.put("apiUrl", config.getApiUrl());
|
||||
configMap.put("modelName", config.getModelName());
|
||||
configMap.put("apiKey", config.getApiKey().substring(0, 10) + "...");
|
||||
configMap.put("maxRetries", config.getMaxRetries());
|
||||
configMap.put("temperature", config.getTemperature());
|
||||
configMap.put("maxTokens", config.getMaxTokens());
|
||||
configMap.put("maxImageDimension", config.getMaxImageDimension());
|
||||
configMap.put("imageQuality", config.getImageQuality());
|
||||
return configMap;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void updateRecognitionConfig(Map<String, Object> config) {
|
||||
log.info("更新识别配置: {}", config);
|
||||
// 这里可以实现配置更新逻辑
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<String, Object> getRecognitionHistory(Map<String, Object> pageQuery) {
|
||||
Map<String, Object> result = new HashMap<>();
|
||||
result.put("rows", new ArrayList<>());
|
||||
result.put("total", 0L);
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* 通用识别方法
|
||||
*/
|
||||
private ImageRecognitionVo recognizeGeneral(ImageRecognitionBo bo) {
|
||||
String prompt = buildGeneralPrompt(bo);
|
||||
String aiResponse = callAiApi(bo.getImageUrl(), prompt, bo.getEnableVoting(), bo.getVotingRounds());
|
||||
|
||||
ImageRecognitionVo result = new ImageRecognitionVo();
|
||||
result.setImageUrl(bo.getImageUrl());
|
||||
result.setRecognitionType("general");
|
||||
result.setRecognizedText(aiResponse);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* 调用AI API
|
||||
*/
|
||||
private String callAiApi(String imageUrl, String prompt, Boolean enableVoting, Integer votingRounds) {
|
||||
// 转换图片为Data URI
|
||||
String dataUri = imageProcessingUtils.imageUrlToDataUri(
|
||||
imageUrl, config.getMaxImageDimension(), config.getImageQuality());
|
||||
|
||||
// 构建请求体
|
||||
Map<String, Object> requestBody = new HashMap<>();
|
||||
requestBody.put("model", config.getModelName());
|
||||
|
||||
List<Map<String, Object>> contents = new ArrayList<>();
|
||||
|
||||
// 添加图片内容
|
||||
Map<String, Object> imageContent = new HashMap<>();
|
||||
imageContent.put("type", "image_url");
|
||||
Map<String, Object> imageUrlObj = new HashMap<>();
|
||||
imageUrlObj.put("url", dataUri);
|
||||
imageUrlObj.put("detail", "low");
|
||||
imageContent.put("image_url", imageUrlObj);
|
||||
contents.add(imageContent);
|
||||
|
||||
// 添加文本内容
|
||||
Map<String, Object> textContent = new HashMap<>();
|
||||
textContent.put("type", "text");
|
||||
textContent.put("text", prompt);
|
||||
contents.add(textContent);
|
||||
|
||||
Map<String, Object> message = new HashMap<>();
|
||||
message.put("role", "user");
|
||||
message.put("content", contents);
|
||||
|
||||
requestBody.put("messages", Arrays.asList(message));
|
||||
requestBody.put("enable_thinking", true);
|
||||
requestBody.put("temperature", config.getTemperature());
|
||||
requestBody.put("top_p", 0.7);
|
||||
requestBody.put("min_p", 0.05);
|
||||
requestBody.put("frequency_penalty", 0.2);
|
||||
requestBody.put("max_token", config.getMaxTokens());
|
||||
requestBody.put("stream", false);
|
||||
requestBody.put("stop", new ArrayList<>());
|
||||
Map<String, String> responseFormat = new HashMap<>();
|
||||
responseFormat.put("type", "text");
|
||||
requestBody.put("response_format", responseFormat);
|
||||
|
||||
// 多轮投票处理
|
||||
if (Boolean.TRUE.equals(enableVoting) && votingRounds > 1) {
|
||||
return callAiApiWithVoting(requestBody, votingRounds);
|
||||
} else {
|
||||
return callAiApiSingle(requestBody);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 单次调用AI API
|
||||
*/
|
||||
private String callAiApiSingle(Map<String, Object> requestBody) {
|
||||
for (int i = 0; i < config.getMaxRetries(); i++) {
|
||||
try {
|
||||
HttpHeaders headers = new HttpHeaders();
|
||||
headers.setContentType(MediaType.APPLICATION_JSON);
|
||||
headers.setBearerAuth(config.getApiKey());
|
||||
|
||||
HttpEntity<Map<String, Object>> entity = new HttpEntity<>(requestBody, headers);
|
||||
ResponseEntity<Map> response = restTemplate.postForEntity(
|
||||
config.getApiUrl(), entity, Map.class);
|
||||
|
||||
if (response.getStatusCode() == HttpStatus.OK && response.getBody() != null) {
|
||||
Map<String, Object> body = response.getBody();
|
||||
List<Map<String, Object>> choices = (List<Map<String, Object>>) body.get("choices");
|
||||
if (choices != null && !choices.isEmpty()) {
|
||||
Map<String, Object> choice = choices.get(0);
|
||||
Map<String, Object> message = (Map<String, Object>) choice.get("message");
|
||||
return (String) message.get("content");
|
||||
}
|
||||
}
|
||||
} catch (Exception e) {
|
||||
log.error("AI API调用失败，重试 {}: {}", i + 1, e.getMessage());
|
||||
if (i == config.getMaxRetries() - 1) {
|
||||
throw new RuntimeException("AI API调用失败", e);
|
||||
}
|
||||
}
|
||||
}
|
||||
throw new RuntimeException("AI API调用失败，已达到最大重试次数");
|
||||
}
|
||||
|
||||
/**
|
||||
* 多轮投票调用AI API
|
||||
*/
|
||||
private String callAiApiWithVoting(Map<String, Object> requestBody, int rounds) {
|
||||
List<CompletableFuture<String>> futures = new ArrayList<>();
|
||||
|
||||
for (int i = 0; i < rounds; i++) {
|
||||
CompletableFuture<String> future = CompletableFuture.supplyAsync(() ->
|
||||
callAiApiSingle(requestBody), executorService);
|
||||
futures.add(future);
|
||||
}
|
||||
|
||||
List<String> results = new ArrayList<>();
|
||||
for (CompletableFuture<String> future : futures) {
|
||||
try {
|
||||
results.add(future.get());
|
||||
} catch (Exception e) {
|
||||
log.error("投票轮次失败: {}", e.getMessage());
|
||||
}
|
||||
}
|
||||
|
||||
if (results.isEmpty()) {
|
||||
throw new RuntimeException("所有投票轮次都失败了");
|
||||
}
|
||||
|
||||
// 简单投票：返回第一个成功的结果
|
||||
return results.get(0);
|
||||
}
|
||||
|
||||
/**
|
||||
* 构建BOM识别提示词
|
||||
*/
|
||||
private String buildBomPrompt(ImageRecognitionBo bo) {
|
||||
StringBuilder prompt = new StringBuilder();
|
||||
prompt.append("请仔细分析这张图片中的BOM（物料清单）信息，并提取以下内容：\n\n");
|
||||
prompt.append("【识别要求】\n");
|
||||
prompt.append("1. 识别图片中的所有物料信息，包括原材料ID、名称、数量、单位等\n");
|
||||
prompt.append("2. 如果图片中包含表格，请按表格结构提取信息\n");
|
||||
prompt.append("3. 如果图片中包含列表，请按列表格式提取信息\n");
|
||||
prompt.append("4. 确保数量信息的准确性，包括数字和单位\n");
|
||||
prompt.append("5. 识别规格、备注等附加信息\n\n");
|
||||
|
||||
if (bo.getProductId() != null) {
|
||||
prompt.append("【产品信息】\n");
|
||||
prompt.append("产品ID: ").append(bo.getProductId()).append("\n\n");
|
||||
}
|
||||
|
||||
if (bo.getCustomPrompt() != null && !bo.getCustomPrompt().isEmpty()) {
|
||||
prompt.append("【自定义要求】\n");
|
||||
prompt.append(bo.getCustomPrompt()).append("\n\n");
|
||||
}
|
||||
|
||||
prompt.append("【输出格式】\n");
|
||||
prompt.append("请按以下JSON格式输出识别结果：\n");
|
||||
prompt.append("{\n");
|
||||
prompt.append(" \"bomItems\": [\n");
|
||||
prompt.append(" {\n");
|
||||
prompt.append(" \"rawMaterialId\": \"原材料ID\",\n");
|
||||
prompt.append(" \"rawMaterialName\": \"原材料名称\",\n");
|
||||
prompt.append(" \"quantity\": 数量,\n");
|
||||
prompt.append(" \"unit\": \"单位\",\n");
|
||||
prompt.append(" \"specification\": \"规格\",\n");
|
||||
prompt.append(" \"remark\": \"备注\"\n");
|
||||
prompt.append(" }\n");
|
||||
prompt.append(" ],\n");
|
||||
prompt.append(" \"summary\": \"BOM清单总结\",\n");
|
||||
prompt.append(" \"totalItems\": 总项目数\n");
|
||||
prompt.append("}\n\n");
|
||||
prompt.append("如果图片中没有BOM信息，请返回空数组。");
|
||||
|
||||
return prompt.toString();
|
||||
}
|
||||
|
||||
/**
|
||||
* 构建文字识别提示词
|
||||
*/
|
||||
private String buildTextPrompt(ImageRecognitionBo bo) {
|
||||
StringBuilder prompt = new StringBuilder();
|
||||
prompt.append("请识别图片中的所有文字内容，包括但不限于：\n\n");
|
||||
prompt.append("【识别要求】\n");
|
||||
prompt.append("1. 识别图片中的所有可见文字\n");
|
||||
prompt.append("2. 保持文字的原始格式和顺序\n");
|
||||
prompt.append("3. 识别表格、列表等结构化内容\n");
|
||||
prompt.append("4. 识别数字、符号等特殊字符\n");
|
||||
prompt.append("5. 保持段落和换行格式\n\n");
|
||||
|
||||
if (bo.getCustomPrompt() != null && !bo.getCustomPrompt().isEmpty()) {
|
||||
prompt.append("【自定义要求】\n");
|
||||
prompt.append(bo.getCustomPrompt()).append("\n\n");
|
||||
}
|
||||
|
||||
prompt.append("【输出格式】\n");
|
||||
prompt.append("请直接输出识别到的文字内容，保持原有格式。");
|
||||
|
||||
return prompt.toString();
|
||||
}
|
||||
|
||||
/**
|
||||
* 构建通用识别提示词
|
||||
*/
|
||||
private String buildGeneralPrompt(ImageRecognitionBo bo) {
|
||||
StringBuilder prompt = new StringBuilder();
|
||||
prompt.append("请分析这张图片的内容，并提供详细描述：\n\n");
|
||||
prompt.append("【分析要求】\n");
|
||||
prompt.append("1. 描述图片的主要内容和主题\n");
|
||||
prompt.append("2. 识别图片中的文字信息\n");
|
||||
prompt.append("3. 分析图片的结构和布局\n");
|
||||
prompt.append("4. 提取关键信息和数据\n");
|
||||
prompt.append("5. 识别图片中的表格、图表等结构化内容\n\n");
|
||||
|
||||
if (bo.getCustomPrompt() != null && !bo.getCustomPrompt().isEmpty()) {
|
||||
prompt.append("【自定义要求】\n");
|
||||
prompt.append(bo.getCustomPrompt()).append("\n\n");
|
||||
}
|
||||
|
||||
prompt.append("【输出格式】\n");
|
||||
prompt.append("请提供详细的分析结果，包括文字内容、结构分析等。");
|
||||
|
||||
return prompt.toString();
|
||||
}
|
||||
|
||||
/**
|
||||
* 解析BOM响应
|
||||
*/
|
||||
private Map<String, Object> parseBomResponse(String response) {
|
||||
try {
|
||||
// 尝试直接解析JSON
|
||||
return objectMapper.readValue(response, Map.class);
|
||||
} catch (JsonProcessingException e) {
|
||||
// 如果直接解析失败，尝试提取JSON部分
|
||||
Pattern jsonPattern = Pattern.compile("\\{[\\s\\S]*\\}");
|
||||
Matcher matcher = jsonPattern.matcher(response);
|
||||
if (matcher.find()) {
|
||||
try {
|
||||
return objectMapper.readValue(matcher.group(), Map.class);
|
||||
} catch (JsonProcessingException ex) {
|
||||
log.warn("无法解析BOM响应为JSON: {}", response);
|
||||
Map<String, Object> fallback = new HashMap<>();
|
||||
fallback.put("rawText", response);
|
||||
return fallback;
|
||||
}
|
||||
}
|
||||
Map<String, Object> fallback = new HashMap<>();
|
||||
fallback.put("rawText", response);
|
||||
return fallback;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 提取BOM项目列表
|
||||
*/
|
||||
private List<ImageRecognitionVo.BomItemVo> extractBomItems(Map<String, Object> structuredResult) {
|
||||
List<ImageRecognitionVo.BomItemVo> bomItems = new ArrayList<>();
|
||||
|
||||
try {
|
||||
List<Map<String, Object>> items = (List<Map<String, Object>>) structuredResult.get("bomItems");
|
||||
if (items != null) {
|
||||
for (Map<String, Object> item : items) {
|
||||
ImageRecognitionVo.BomItemVo bomItem = new ImageRecognitionVo.BomItemVo();
|
||||
bomItem.setRawMaterialId((String) item.get("rawMaterialId"));
|
||||
bomItem.setRawMaterialName((String) item.get("rawMaterialName"));
|
||||
|
||||
Object quantity = item.get("quantity");
|
||||
if (quantity instanceof Number) {
|
||||
bomItem.setQuantity(((Number) quantity).doubleValue());
|
||||
}
|
||||
|
||||
bomItem.setUnit((String) item.get("unit"));
|
||||
bomItem.setSpecification((String) item.get("specification"));
|
||||
bomItem.setRemark((String) item.get("remark"));
|
||||
|
||||
bomItems.add(bomItem);
|
||||
}
|
||||
}
|
||||
} catch (Exception e) {
|
||||
log.warn("提取BOM项目失败: {}", e.getMessage());
|
||||
}
|
||||
|
||||
return bomItems;
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user