修改：

1、修改sonar检测出的错误

xueyi-api/xueyi-api-nlt/src/main/java/com/xueyi/nlt/api/nlt/feign/RemoteBaiduNLPService.java

@@ -12,7 +12,9 @@ import org.springframework.web.bind.annotation.RequestParam;
 public interface RemoteBaiduNLPService {
 
     @PostMapping(path = "/oauth/2.0/token", consumes = "application/x-www-form-urlencoded")
-    JSONObject getAccessToken(@RequestBody String body);
+    JSONObject getAccessToken(@RequestParam("client_id") String client_id,
+                              @RequestParam("client_secret") String client_secret,
+                              @RequestParam("grant_type") String grant_type);
 
     @PostMapping(path = "/rpc/2.0/nlp/v2/dnnlm_cn", consumes = "application/json")
     JSONObject detected(@RequestParam(value = "charset", defaultValue = "UTF-8") String charset,

xueyi-modules/xueyi-nlt/src/main/java/com/xueyi/nlt/nlt/controller/DmIntentController.java

@@ -395,7 +395,7 @@ public class DmIntentController extends BaseController<DmIntentQuery, DmIntentDt
         if (enterpriseDtoR.isOk()) {
             enterpriseName = enterpriseDtoR.getData().getName();
         }
-        recordVo.setTenantId(Long.valueOf(manDeviceDtoR.getData().getTId()));
+        recordVo.setTenantId(manDeviceDtoR.getData().getTId());
         DmIntentResponse response = new DmIntentResponse();
         //先调用意图
         //根据技能调用知识库或大模型

xueyi-modules/xueyi-nlt/src/main/java/com/xueyi/nlt/nlt/service/impl/DmIntentServiceImpl.java

@@ -183,7 +183,7 @@ public class DmIntentServiceImpl extends BaseServiceImpl<DmIntentQuery, DmIntent
         R<DmManDeviceDto> manDeviceDtoR = manDeviceService.manDeviceInfoInner(intent.getDevId());
         Long enterpriseId = manDeviceDtoR.getData().getTId();
         String enterpriseName = "";
-        R<SysEnterpriseDto> enterpriseDtoR = remoteEnterpriseService.getInfo(Long.valueOf(enterpriseId));
+        R<SysEnterpriseDto> enterpriseDtoR = remoteEnterpriseService.getInfo(enterpriseId);
         if (enterpriseDtoR.isOk()) {
             enterpriseName = enterpriseDtoR.getData().getName();
         }

xueyi-modules/xueyi-nlt/src/main/java/com/xueyi/nlt/nlt/service/impl/DmWordProcessServiceImpl.java

@@ -23,28 +23,25 @@ public class DmWordProcessServiceImpl implements IDmWordProcessService {
 
     public WordProcessVo semanticIntegrityDetection (WordProcessVo wordProcessVo){
         log.info("元数据：" + wordProcessVo.getMetadata());
-        String body = "grant_type=client_credentials&client_id=" + baiduConfig.getApiKey() + "&client_secret=" + baiduConfig.getSecretKey();
-        JSONObject accessJson =  remoteBaiduNLPService.getAccessToken(body);
+        JSONObject accessJson =  remoteBaiduNLPService.getAccessToken(baiduConfig.getApiKey(), baiduConfig.getSecretKey(), "client_credentials");
         JSONObject result = remoteBaiduNLPService.detected("UTF-8", accessJson.getString("access_token"), "{\"text\":\"" + wordProcessVo.getMetadata() + "\"}");
-        if(result.containsKey("ppl")){
-            if(result != null){
-                if(result.containsKey("error_code")){
-                    String errorMsg = String.format("语义完整性检测失败，错误码：%d,错误信息：%s", result.getInteger("error_code"),result.getString("error_msg"));
-                    log.error(errorMsg);
+        if(result != null){
+            if(result.containsKey("error_code")){
+                String errorMsg = String.format("语义完整性检测失败，错误码：%d,错误信息：%s", result.getInteger("error_code"),result.getString("error_msg"));
+                log.error(errorMsg);
+            }else{
+                Double ppl = result.getDouble("ppl");
+                if(ppl < 300) {
+                    wordProcessVo.setProcessedResult("2");
+                }else if(ppl > 1000){
+                    wordProcessVo.setProcessedResult("0");
                 }else{
-                    Double ppl = result.getDouble("ppl");
-                    if(ppl < 300) {
-                        wordProcessVo.setProcessedResult("2");
-                    }else if(ppl > 1000){
-                        wordProcessVo.setProcessedResult("0");
-                    }else{
-                        wordProcessVo.setProcessedResult("1");
-                    }
-                    log.info("语义完整性检测结果：" + wordProcessVo.getProcessedResult());
+                    wordProcessVo.setProcessedResult("1");
                 }
-            }else{
-                log.error("语义完整性检测失败，未获取到返回结果");
+                log.info("语义完整性检测结果：" + wordProcessVo.getProcessedResult());
             }
+        }else{
+            log.error("语义完整性检测失败，未获取到返回结果");
         }
         return wordProcessVo;
     }