updates

jeecg-module-system/jeecg-system-biz/src/main/java/org/jeecg/modules/ocr/service/impl/OcrIdentifyServiceImpl.java

@@ -975,7 +975,7 @@ public class OcrIdentifyServiceImpl extends ServiceImpl<OcrIdentifyMapper, OcrId
             if (StringUtils.isNotBlank(time)) {
                 sourceJson.add(JSONObject.parseObject(String.format("{\"tag\":\"time\", \"inputText\":\"%s\"}", time)));
             }
-            JSONObject semanticResult = JSONObject.parseObject(ocrIdentifyDetail.getSemanticResult()).getJSONObject("semantic_result");
+            JSONObject semanticResult = JSONObject.parseObject(ocrIdentifyDetail.getSemanticResult());
             File file = new File(imgPath);
             //当原图片存在时.
             if (file.exists()) {
@@ -995,13 +995,13 @@ public class OcrIdentifyServiceImpl extends ServiceImpl<OcrIdentifyMapper, OcrId
                 }*/
                 //绘制虚线
                 if (true) {
+                    JSONObject semanticResult2 = JSONObject.parseObject(ocrIdentifyDetail.getSemanticResult()).getJSONObject("semantic_result");
                     String fileUrl = "/data/ocrImage/drawDashed" + imgPath.substring(0, i);
                     //判断新目录是否存在，不存在则新建
                     FileOUtils.folderCreate(fileUrl);
                     String outputImagePath = fileUrl + imgPath.substring(i + 1, imgPath.length());
-                    if (semanticResult!=null) {
-                        log.warn(semanticResultJson);
-                        List<List<Point>> resultToPoints = ImageUtils.semanticResultToPoints(semanticResult);
+                    if (semanticResult2!=null) {
+                        List<List<Point>> resultToPoints = ImageUtils.semanticResultToPoints(semanticResult2);
                         if (resultToPoints.size() > 0) {
                             ImageUtils.drawDashedRectangleOnImages(file.getAbsolutePath(), resultToPoints, outputImagePath);
                             imgPath = outputImagePath;
@@ -1009,6 +1009,7 @@ public class OcrIdentifyServiceImpl extends ServiceImpl<OcrIdentifyMapper, OcrId
                     }
                 }
             }
+
             OcrRuleCheckDTO ocrRuleCheckVo = ocrRuleCheckService.findById(simulateChecksVO.getRuleCheckId());
             Map<String, CheckSemanticModel> checkSemanticModelMap = getCheckSemanticModelMap(ocrRuleCheckVo.getConfigRuleMap(), ocrRuleCheckVo.getFieldMap(), sourceJson);
             String text = null;//ocr 识别的文本
@@ -1022,7 +1023,7 @@ public class OcrIdentifyServiceImpl extends ServiceImpl<OcrIdentifyMapper, OcrId
                 String inputText = value.getInputText();//校验文本 ，ocr识别的文本如果不包含该内容，则算作失败
                 List<String> fieldNameList = Arrays.asList(fieldName.split(","));
                 text = null;
-                boolean b = ArrayOUtils.containsStringList(fieldNameList, semanticResult.keySet().stream().collect(Collectors.toList()));
+                boolean b = ArrayOUtils.containsStringList(fieldNameList, semanticResult.getJSONObject("semantic_result").keySet().stream().collect(Collectors.toList()));
                 //查看ocr识别返回的字段名称中是否有当前这个字段名称
                 if (b) {
                     //TODO  注意，ocr 识别返回的 字段是多个结果（数组）,有一个值匹配上即为正确