优化识别参数

classify_server.py

@@ -41,6 +41,7 @@ class Classify(classify_pb2_grpc.classifyServicer):
                 'status': 0,
                 'err_msg': err_msg
             }
+        bom_log.info(f'返回结果: ' + str(res))
         return classify_pb2.ClassifyReply(message='result {msg}'.format(msg=res))
 
     def fac_test_predic(self, data):

http_server.py

@@ -61,6 +61,7 @@ class DictHandler(BaseHandler):
                 'status': 0,
                 'err_msg': err_msg
             }
+        bom_log.info(f'返回结果: ' + str(res))
         self.write(res)
 
 

predict/base_handler.py

@@ -205,7 +205,7 @@ class BasePredictor:
         count = 0
         for i in data:
             for feature in feature_li:
-                if feature in str(i).strip():
+                if feature in str(i).strip().lower():
                     count += 1
                     break
         return round(count / len(data), 3)