def test_most_common_friend(self): qa = QQZoneAnalysis(use_redis=True, export_csv=True) qa.get_most_common_friend()
def web_interface(username, nickname, stop_time, mood_num, cookie_text, no_delete, password, pool_flag): sp = QQZoneAnalysis(use_redis=True, debug=False, username=username, analysis_friend=True, from_web=True, nickname=nickname, stop_time=stop_time, mood_num=mood_num, no_delete=no_delete, cookie_text=cookie_text, pool_flag=pool_flag) sp.re.hset(USER_MAP_KEY, username, password) sp.re.set(USER_LOGIN_STATE + username, 0) sp.logging_info(username + "init success") try: state = sp.login_with_qr_code() sp.remove_qr_code() # 登陆失败就退出本线程 if not state: sp.logging_info(username + "logging failed") sp.re.rpush(WEB_SPIDER_INFO + username, LOGIN_FAILED) exit(1) else: # 存储登陆状态 sp.logging_info(username + "logging success") sp.re.rpush(WEB_SPIDER_INFO + username, "用户" + str(sp.username) + "登陆成功") sp.re.set(USER_LOGIN_STATE + username, 1) except BaseException as e: sp.format_error(e, "logging failed") sp.logging_info(username + "logging failed") sp.re.rpush(WEB_SPIDER_INFO + username, LOGIN_FAILED) exit(1) sp.get_main_page_info() sp.logging_info("get main page success") try: # 获取动态的数据 t1 = threading.Thread(target=sp.get_mood_list) # 获取好友数据 t2 = threading.Thread(target=sp.get_friend_detail) t1.setDaemon(False) t2.setDaemon(False) t1.start() t2.start() # 等待两个线程都结束 t1.join() t2.join() # sp.user_info.save_user(username) except BaseException: sp.re.rpush(WEB_SPIDER_INFO + username, GET_MOOD_FAILED) exit(1) sp.re.set(MOOD_FINISH_KEY + str(username), 1) # 清洗好友数据 friend_data_state = sp.clean_friend_data() if friend_data_state: # 获取第一位好友数据 sp.get_first_friend_info() # 计算共同好友最多的人 sp.get_most_common_friend() # 计算共同群组 sp.get_most_group() sp.get_useful_info_from_json() if not sp.mood_data_df.empty: # 清洗说说数据并计算点赞最多的人和评论最多的人 sp.get_most_people() # 计算发送动态的时间 sp.calculate_send_time() sp.draw_cmt_cloud(sp.mood_data_df) sp.draw_like_cloud(sp.mood_data_df) # 说说中的关键字,这个比较花时间 # sp.draw_content_cloud(sp.mood_data_df) # 保存说说数据 sp.export_mood_df() sp.calculate_history_like_agree() sp.user_info.save_user() sp.re.set(CLEAN_DATA_KEY + username, 1) now_user = sp.re.get(FINISH_USER_NUM_KEY) if now_user is None: now_user = 0 else: now_user = int(now_user) sp.re.set(FINISH_USER_NUM_KEY, now_user + 1) # 对排队list中删除当前用户,注意该指令的传参方式与redis-cli中不同 sp.re.lrem(WAITING_USER_LIST, username)