pre_judge

predict/dict_predict.py

@@ -2,6 +2,7 @@
 # -*- coding:utf-8 -*-
 # -*- coding:utf-8 -*-
 from predict.base_handler import BasePredictor
 from predict.base_handler import BasePredictor
 from static_config import *
 from static_config import *
+from utils.functions import pre_judge
 
 
 
 
 def fun(seri):
 def fun(seri):
@@ -156,6 +157,12 @@ class DicPredict(BasePredictor):
             if result == 'param':
             if result == 'param':
                 if BasePredictor.get_nan_rate(dic_data[k]) >= PARAM_NAN_RATE:
                 if BasePredictor.get_nan_rate(dic_data[k]) >= PARAM_NAN_RATE:
                     continue
                     continue
+
+            if result in ('goods_name', 'brand'):
+                li_prejudge = ['?' if not pre_judge(str(single)) else single for single in dic_data[k]]
+                if BasePredictor.get_nan_rate(li_prejudge) >= PARAM_NAN_RATE:
+                    continue
+
             temp_pre_model_res[k] = EN_TO_ZH_MAP[result]
             temp_pre_model_res[k] = EN_TO_ZH_MAP[result]
 
 
         not_null_dic_data = {k: list(filter(lambda x: x != BasePredictor.PLACEHOLDER, dic_data[k])) for k in
         not_null_dic_data = {k: list(filter(lambda x: x != BasePredictor.PLACEHOLDER, dic_data[k])) for k in

valid_server.py

@@ -6,6 +6,7 @@ from urllib.parse import unquote
 import tornado.web
 import tornado.web
 import tornado.ioloop
 import tornado.ioloop
 
 
+from utils.functions import pre_judge
 from utils.redis_cli import redis_cli
 from utils.redis_cli import redis_cli
 
 
 from predict.kw_predict import KwPredict
 from predict.kw_predict import KwPredict
@@ -31,7 +32,7 @@ class KwHandler(tornado.web.RequestHandler):
         else:
         else:
             code = 1
             code = 1
             res = {}
             res = {}
-            if len(target) == 1 or target.isdigit() or len(target) >= 50:
+            if pre_judge(target):
                 score = 0
                 score = 0
             elif target in brand_set:
             elif target in brand_set:
                 score = 1
                 score = 1