save vector to redis

tractate_sentence_similary.py

@@ -98,6 +98,7 @@ def save_tag_vector_to_redis(all_tags_lst, model):
     if res:
         redis_client5.hmset(redis_key, json.dumps(res))
         redis_client5.expire(redis_key, 60 * 60 * 24 * 3)
+    print("tags vector redis: " + str(len(res)))
 
 
 if __name__ == "__main__":
@@ -119,9 +120,9 @@ if __name__ == "__main__":
     for word in all_keywords_set:
         jieba.add_word(word, freq=1000, tag="user_defined")
 
-    # save_tractate_vector_to_redis(all_keywords_set, model)
+    save_tractate_vector_to_redis(all_keywords_set, model)
 
     all_tags_lst = [i.encode("utf-8") for i in get_all_business_tags()]
     print("all tags: " + str(len(all_tags_lst)))
     print(all_tags_lst[:5])
-    # save_tag_vector_to_redis(all_tags_lst, model)
+    save_tag_vector_to_redis(all_tags_lst, model)