添加注释

predict/base_handler.py

@@ -8,10 +8,16 @@ from utils.robots import dd_send_msg
 import pandas as pd
 import pandas as pd
 from static_config import *
 from static_config import *
 
 
+# 数量列阈值
 RIGHT_LEVEL = 0.7
 RIGHT_LEVEL = 0.7
+# 序号列阈值
 SEQ_LEVEL = 0.5
 SEQ_LEVEL = 0.5
+# 类别列阈值
 CATE_LEVEL = 0.5
 CATE_LEVEL = 0.5
+#
 MULTI_SAME_LEVEL = 3
 MULTI_SAME_LEVEL = 3
+
+# 位号列阈值
 REF_LEVEL = 0.5
 REF_LEVEL = 0.5
 
 
 class BasePredictor:
 class BasePredictor:

predict/dict_predict.py

@@ -206,12 +206,12 @@ class DicPredict(BasePredictor):
             head_std_result = head_id_res.get('std_result')
             head_std_result = head_id_res.get('std_result')
             model_std_result = model_id_res.get('std_result')
             model_std_result = model_id_res.get('std_result')
             comprehensive_res = BasePredictor.get_comprehensive_res(head_std_result, model_std_result)
             comprehensive_res = BasePredictor.get_comprehensive_res(head_std_result, model_std_result)
-            self.info.info('综合预测结果: ' + str(comprehensive_res))
             if comprehensive_res:
             if comprehensive_res:
                 res = {
                 res = {
                     'std_result': comprehensive_res,
                     'std_result': comprehensive_res,
                     'ab_result': head_id_res['ab_result'] or model_id_res['ab_result'] or {},
                     'ab_result': head_id_res['ab_result'] or model_id_res['ab_result'] or {},
                 }
                 }
+                self.info.info('综合预测结果: ' + str(comprehensive_res))
                 return res
                 return res
 
 
         elif predict_type == 'model':
         elif predict_type == 'model':