判断停用的数据

trans2es/type_info.py

@@ -138,35 +138,36 @@ class TypeInfo(object):
                     data = self.get_data_func(instance)
                     (item_dict, suggest_list) = data
 
-                    if item_dict["tips_name_type"] == 4:
-                        instance.name = instance.keyword
-
-                    resemble_list = WordResemble.get_word_resemble_list(str(instance.name))
-
-                    for suggest_item in suggest_list:
-                        suggest_dict = copy.deepcopy(item_dict)
-                        suggest_dict["suggest_type"] = suggest_item["suggest_type"]
-                        suggest_dict["offline_score"] = suggest_item["word_weight"] + suggest_dict["order_weight"]
-                        suggest_dict["id"] = str(suggest_dict["id"]) + "_" + str(suggest_item["cur_index"])
-                        suggest_dict["suggest"] = {
-                            "input": suggest_item["input"],
-                            "weight": int(suggest_dict["offline_score"]),
-                            "contexts": {
-                                "is_online": suggest_dict["is_online"]
+                    if item_dict:
+                        if item_dict["tips_name_type"] == 4:
+                            instance.name = instance.keyword
+
+                        resemble_list = WordResemble.get_word_resemble_list(str(instance.name))
+
+                        for suggest_item in suggest_list:
+                            suggest_dict = copy.deepcopy(item_dict)
+                            suggest_dict["suggest_type"] = suggest_item["suggest_type"]
+                            suggest_dict["offline_score"] = suggest_item["word_weight"] + suggest_dict["order_weight"]
+                            suggest_dict["id"] = str(suggest_dict["id"]) + "_" + str(suggest_item["cur_index"])
+                            suggest_dict["suggest"] = {
+                                "input": suggest_item["input"],
+                                "weight": int(suggest_dict["offline_score"]),
+                                "contexts": {
+                                    "is_online": suggest_dict["is_online"]
+                                }
                             }
-                        }
-                        data_list.append(suggest_dict)
-                        if item_dict["tips_name_type"] != 4:
-                            for resemble_item in resemble_list:
-                                resemble_dict = copy.deepcopy(suggest_dict)
-                                resemble_dict["id"] = suggest_dict["id"] + "_" + getMd5Digest(resemble_item)
-                                resemble_dict["ori_name"] = resemble_item
-                                resemble_dict["results_num"] = QueryWordAttr.get_query_results_num(resemble_item)
-                                resemble_dict["offline_score"] = 0
-                                resemble_dict["suggest"]["weight"] = 0
-                                data_list.append(resemble_dict)
-                        else:
-                            pass
+                            data_list.append(suggest_dict)
+                            if item_dict["tips_name_type"] != 4:
+                                for resemble_item in resemble_list:
+                                    resemble_dict = copy.deepcopy(suggest_dict)
+                                    resemble_dict["id"] = suggest_dict["id"] + "_" + getMd5Digest(resemble_item)
+                                    resemble_dict["ori_name"] = resemble_item
+                                    resemble_dict["results_num"] = QueryWordAttr.get_query_results_num(resemble_item)
+                                    resemble_dict["offline_score"] = 0
+                                    resemble_dict["suggest"]["weight"] = 0
+                                    data_list.append(resemble_dict)
+                            else:
+                                pass
                 except Exception:
                     traceback.print_exc()
                     logging.exception('bulk_get_data for name={}, doc_type={}, pk={}'.format(