updates

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

@@ -121,7 +121,7 @@ public class OcrIdentifyServiceImpl extends ServiceImpl<OcrIdentifyMapper, OcrId
 
             Map<String, CheckSemanticModel> checkSemanticModelMap = getCheckSemanticModelMap(ocrRuleCheckVo.getConfigRuleMap(), ocrRuleCheckVo.getFieldMap(), ocrIdentifyVo.getSourceJsonObjects());
             ////
-            String text;//ocr 识别的文本，
+            String text=null;//ocr 识别的文本，
             Double probability = 0d;
             //用于数据结构化的对象
             List<OcrResult> ocrResultList = new ArrayList<>();
@@ -147,36 +147,43 @@ public class OcrIdentifyServiceImpl extends ServiceImpl<OcrIdentifyMapper, OcrId
                             ocrArray.addAll(jsonArray.toJavaList(JSONObject.class));
                         }
                     }
-                    ocrArrayFor: for (int i = 0; i < ocrArray.size(); i++) {
-                        JSONObject ocrItem = ocrArray.get(i);
-                        text = ocrItem.getString("text");//ocr 识别的文本
-                        probability = ocrItem.getDouble("probability");//置信度
-                        log.info("ocrItem:");
-                        log.info(ocrItem.toJSONString());
-
-                        if (StringUtils.isBlank(text)) {
-                            //ocr识别参数为空，不通过
-                            rMessage.append(value.getFieldName() + "参数未获取到结果<br>");
-                            mapPutIfTrue(fieldRightMap, field, false);
-                            ocrResultAdd(ocrResultList, field, inputText, text, probability, imgPath, value.getFieldName() + "参数未获取到结果", false);
-                        } else if ("1".equals(ruleInfo) && StringUtils.isNotBlank(text)) {
-                            //不必校验，有值就行，通过
-                            fieldRightMap.put(field, true);
-                            ocrResultAdd(ocrResultList, field, inputText, text, probability, imgPath, "", true);
-                        } else if ("0".equals(ruleInfo)) {
-                            //必定验证参数，必须有值且匹配
-                            if (StringUtils.isBlank(inputText) || text.contains(inputText)) {
+                    if (ocrArray.size()>0) {
+                        ocrArrayFor: for (int i = 0; i < ocrArray.size(); i++) {
+                            JSONObject ocrItem = ocrArray.get(i);
+                            text = ocrItem.getString("text");//ocr 识别的文本
+                            probability = ocrItem.getDouble("probability");//置信度
+                            log.info("ocrItem:");
+                            log.info(ocrItem.toJSONString());
+
+                            if (StringUtils.isBlank(text)) {
+                                //ocr识别参数为空，不通过
+                                rMessage.append(value.getFieldName() + "参数未获取到结果<br>");
+                                mapPutIfTrue(fieldRightMap, field, false);
+                                ocrResultAdd(ocrResultList, field, inputText, text, probability, imgPath, value.getFieldName() + "参数未获取到结果", false);
+                            } else if ("1".equals(ruleInfo) && StringUtils.isNotBlank(text)) {
+                                //不必校验，有值就行，通过
                                 fieldRightMap.put(field, true);
                                 ocrResultAdd(ocrResultList, field, inputText, text, probability, imgPath, "", true);
-                            } else {
-                                rMessage.append(value.getFieldName() + "不匹配<br>");
-                                mapPutIfTrue(fieldRightMap, field, false);
-                                ocrResultAdd(ocrResultList, field, inputText, text, probability, imgPath, value.getFieldName() + "不匹配", false);
+                            } else if ("0".equals(ruleInfo)) {
+                                //必定验证参数，必须有值且匹配
+                                if (StringUtils.isBlank(inputText) || text.contains(inputText)) {
+                                    fieldRightMap.put(field, true);
+                                    ocrResultAdd(ocrResultList, field, inputText, text, probability, imgPath, "", true);
+                                } else {
+                                    rMessage.append(value.getFieldName() + "不匹配<br>");
+                                    mapPutIfTrue(fieldRightMap, field, false);
+                                    ocrResultAdd(ocrResultList, field, inputText, text, probability, imgPath, value.getFieldName() + "不匹配", false);
+                                }
                             }
                         }
+                    }else{
+                        rMessage.append(value.getFieldName() + "参数未获取到结果<br>");
+                        mapPutIfTrue(fieldRightMap, field, false);
+                        ocrResultAdd(ocrResultList, field, inputText, text, probability, imgPath, value.getFieldName() + "参数未获取到结果", false);
                     }
+
                 } else {
-                    rMessage.append(field + "_未查到ocr结果<br>");
+                    rMessage.append(value.getFieldName()  + "_未查到ocr结果<br>");
                     ocrResultAdd(ocrResultList, field, inputText, null, 0d, imgPath, "ocr结果未获取", false);
                     fieldRightMap.put(field, false);
                 }
@@ -539,6 +546,7 @@ public class OcrIdentifyServiceImpl extends ServiceImpl<OcrIdentifyMapper, OcrId
                 requestBody.put("task_id", task_id);
                 requestBody.put("img_path", image);
                 JSONObject semanticResponseJson = RestUtil.post(OcrConstant.api_test_identify_url, requestBody);
+                //semanticResponseJson = JSONObject.parseObject("{\"医院名称\":[{\"area\":[[361,93],[623,39],[630,73],[368,127]],\"end\":6,\"ocrText\":\"黑石社区医院\",\"probability\":0.9874083762059627,\"start\":0,\"text\":\"黑石社区医院\"}],\"姓名\":[],\"时间\":[],\"科室\":[]}");
                 semanticResponseJson.put("identifyId", masterTaskId);
                 this.getSemanticInfo(semanticResponseJson);
                 //该子任务已执行，判断主任务是否残留