示例#1
0
def update_topic(uid_list=[]):
    if not uid_list:
        uid_list = load_uid_list()
    tw_flow_text_index_list = get_twitter_flow_text_index_list(
        load_timestamp(), TEST_MAX_FLOW_TEXT_DAYS)
    user_topic_data = get_filter_keywords(tw_flow_text_index_list, uid_list)
    user_topic_dict, user_topic_list = topic_classfiy(uid_list,
                                                      user_topic_data)

    user_topic_string = {}
    for uid, topic_list in user_topic_list.items():
        li = []
        for t in topic_list:
            li.append(zh_data[name_list.index(t)].decode('utf8'))
        user_topic_string[uid] = '&'.join(li)
    user_topic = {}
    for uid in uid_list:
        if uid in user_topic_dict:
            user_topic[uid] = {
                'filter_keywords': json.dumps(user_topic_data[uid]),
                'topic': json.dumps(user_topic_dict[uid]),
                'topic_string': user_topic_string[uid]
            }
        else:
            user_topic[uid] = {
                'filter_keywords': json.dumps({}),
                'topic': json.dumps({}),
                'topic_string': ''
            }
    return save_data2es(user_topic)
示例#2
0
def my_topic_classfiy(uid_list, datetime_list):
    topic_dict_results = {}
    topic_string_results = {}
    #将处理后的结果保存到数据库中,并在处理前查询数据库中是否已经有了相应内容之前存储的结果,以提高效率
    uids = uid_list
    unresolved_uids = []
    res = es.mget(index=tw_portrait_index_name, doc_type=tw_portrait_index_type, body={'ids': uids})['docs']
    for r in res:
        uid = r['_id']
        if r.has_key('found'): 
            found = r['found']
            if found and r['_source'].has_key('topic'):
                topic = r['_source']['topic']
                topic_string = r['_source']['topic_string']
                topic_dict_results[uid] = json.loads(topic)
                topic_string_results[uid] = [topic_ch2en_dict[ch_topic] for ch_topic in topic_string.split('&')]
            else:
                unresolved_uids.append(uid)
        else:   #es表中目前无任何记录 
            unresolved_uids.append(uid)

    #未在数据库中的进行计算并存储
    user_topic_dict = {}
    user_topic_list = {}
    if unresolved_uids:
        tw_flow_text_index_list = []
        for datetime in datetime_list:
            tw_flow_text_index_list.append(flow_text_index_name_pre + datetime)
        user_topic_data = get_filter_keywords(tw_flow_text_index_list, unresolved_uids)
        user_topic_dict, user_topic_list = topic_classfiy(unresolved_uids, user_topic_data)

        user_topic_string = {}
        for uid, topic_list in user_topic_list.items():
            li = []
            for t in topic_list:
                li.append(zh_data[name_list.index(t)].decode('utf8'))
            user_topic_string[uid] = '&'.join(li)
        user_topic = {}
        for uid in unresolved_uids:
            if uid in user_topic_dict:
                user_topic[uid] = {
                    'filter_keywords': json.dumps(user_topic_data[uid]),
                    'topic': json.dumps(user_topic_dict[uid]),
                    'topic_string': user_topic_string[uid]
                }
            else:
                user_topic[uid] = {
                    'filter_keywords': json.dumps({}),
                    'topic': json.dumps({}),
                    'topic_string': ''
                }
        save_data2es(user_topic)

    #整合
    user_topic_dict.update(topic_dict_results)
    user_topic_list.update(topic_string_results)
    return user_topic_dict, user_topic_list