feat:优化增加任务同步接口，允许前端手动控制同步

wlzboy

2026-02-01 0ffdf00009b0bede0859fa33deddefb55c075a7b

 ruoyi-system/src/main/java/com/ruoyi/system/utils/TencentOCRUtil.java

@@ -18,10 +18,8 @@
import org.springframework.stereotype.Component;

import java.io.File;
import java.util.Base64;
import java.util.*;
import java.nio.file.Files;
import java.util.HashMap;
import java.util.Map;

/**
 * 腾讯云OCR工具类
@@ -222,7 +220,7 @@
            // {"患者签名（手印）", "签字人身份证号码", "日期", "联系电话", "本人", "签字人与患者关系"}
            req.setItemNames(itemNames != null ? itemNames : new String[]{"患者姓名", "性别", "年龄", "身份证号", "诊断", "需支付转运费用", "行程", "开始时间", "结束时间", "家属签名"});
            req.setOutputLanguage("cn");
            req.setReturnFullText(false);
            req.setReturnFullText(true);
            req.setItemNamesShowMode(false);
            ExtractDocMultiResponse resp = client.ExtractDocMulti(req);

@@ -295,7 +293,42 @@
                    }
                }
            }
            
            //将 WordList
            List<String> wordListResult = new ArrayList<>();
            if (responseData.containsKey("WordList") && responseData.getJSONArray("WordList") != null){
                JSONArray wordList = responseData.getJSONArray("WordList");
                for (int i = 0; i < wordList.size(); i++) {
                    JSONObject word = wordList.getJSONObject(i);
                    // {
                    //        "Coord": {
                    //          "LeftBottom": {
                    //            "X": 472,
                    //            "Y": 1500
                    //          },
                    //          "LeftTop": {
                    //            "X": 467,
                    //            "Y": 1420
                    //          },
                    //          "RightBottom": {
                    //            "X": 636,
                    //            "Y": 1490
                    //          },
                    //          "RightTop": {
                    //            "X": 631,
                    //            "Y": 1410
                    //          }
                    //        },
                    //        "DetectedText": "行程:"
                    //      }
                    String detectedText = word.getString("DetectedText");
                    wordListResult.add(detectedText);
                }
            }
            //我们从wordListResult中行程:后面，需要支付转运费用:之间的文字
            String content = extractContentFromWordList(wordListResult, "行程:", "需支付转运费用:");
            log.info("提取到行程: {}", content);
            resultMap.put("行程", content);

            log.info("手写体识别提取到 {} 个字段", resultMap.size());
            return resultMap;
            
@@ -306,6 +339,42 @@
        }
    }

    private static String extractContentFromWordList(List<String> wordListResult, String s, String s1) {
        //提取s和s1之间的内容
        //如果word中只有一或-或->，统一处理成->


        int startIndex = -1;
        int endIndex = -1;

        for (int i = 0; i < wordListResult.size(); i++) {
            String word = wordListResult.get(i);
            if (word.contains(s)) {
                startIndex = i;
            }

            if (word.contains(s1)) {
                endIndex = i;
            }
        }
        if (startIndex == -1 || endIndex == -1 || startIndex >= endIndex) {
            return "";
        }
        List<String> w=wordListResult.subList(startIndex + 1, endIndex);
        Boolean findAle=false;
        List<String> result=new ArrayList<>();
       for(String word:w){
            if (!findAle && (word.equals("-") || word.equals("->") || word.equals("→") || word.equals("一") || word.equals("=>")) ){
                findAle = true;
                word = word.replace("-", "→")
                        .replace("一", "→")
                        .replace("=>", "→");
            }
            result.add(word);
        };
        return String.join("", result);
    }

    /**
     * 身份证识别
     * @param imagePath 图片路径