fix item

get_ad_out_sample_v2_item.py

@@ -220,17 +220,26 @@ from candidate_item
     item_h_dict = {}
     k_col = 'i_id'
     dt = datetime
-    key_name_prefix = f"{config_.KEY_NAME_PREFIX_AD_OUT_MODEL_SCORE_ITEM}{model_key}:"
+    key_name_prefix = f"{config_.KEY_NAME_PREFIX_AD_OUT_MODEL_SCORE_ITEM}{model_key}"
     print(key_name_prefix)
+    mean_item_h = 0.0
+    count_item_h = 0
     with data.open_reader() as reader:
         for row in reader:
-            k = row['i_id']
+            k = str(row['i_id'])
             item_features = get_item_features(row)
             item_h = lr_model.predict_h(item_features)
             redis_helper.set_data_to_redis(f"{key_name_prefix}:{k}", item_h, 28 * 3600)
             item_h_dict[k] = item_h
+            mean_item_h += item_h
+            count_item_h += 1
             # print(item_features)
             # print(item_h)
+    mean_item_h = mean_item_h / count_item_h 
+    item_h_dict['mean'] = mean_item_h 
+    print(mean_item_h)
+    k = 'mean'
+    redis_helper.set_data_to_redis(f"{key_name_prefix}:{k}", mean_item_h, 28 * 3600)
     with open('{}.json'.format(key_name_prefix), 'w') as fout:
         json.dump(item_h_dict, fout, indent=2, ensure_ascii=False, sort_keys=True)