示例#1
0
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)
    try:
        sp.login()
        sp.re.rpush(WEB_SPIDER_INFO + username,
                    "用户" + str(sp.username) + "登陆成功")
        # 存储用户密码
        sp.re.hset(USER_MAP_KEY, username, password)
    except BaseException:
        sp.re.rpush(WEB_SPIDER_INFO + username, GET_MAIN_PAGE_FAILED)
    try:
        sp.get_main_page_info()
        sp.re.rpush(WEB_SPIDER_INFO + username, "获取主页信息成功")
        sp.re.rpush(WEB_SPIDER_INFO + username,
                    MOOD_NUM_PRE + ":" + str(sp.mood_num))
    except BaseException:
        sp.re.rpush(WEB_SPIDER_INFO + username, LOGIN_FAILED)

    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)

    # 清洗好友数据
    sp.clean_friend_data()
    # 获取第一位好友数据
    sp.get_first_friend_info()
    # 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()
    # 保存说说数据
    sp.export_mood_df()

    sp.calculate_history_like_agree()
    sp.re.set(CLEAN_DATA_KEY + username, 1)
示例#2
0
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)
    try:
        # 存储用户密码
        sp.re.hset(USER_MAP_KEY, username, password)
        sp.logging_info(username + "init success")
        sp.login()
        sp.logging_info(username + "logging success")
        sp.re.rpush(WEB_SPIDER_INFO + username, "用户" + str(sp.username) + "登陆成功")
    except BaseException as e:
        sp.format_error(e, "logging failed")
        sp.re.rpush(WEB_SPIDER_INFO + username, LOGIN_FAILED)
        # 删除用户密码
        sp.re.hdel(USER_MAP_KEY, username)
    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)

    # 清洗好友数据
    sp.clean_friend_data()
    # 获取第一位好友数据
    sp.get_first_friend_info()
    # 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()
    sp.calculate_send_time()
    sp.user_info.save_user()
    # 保存说说数据
    sp.export_mood_df()
    sp.re.set(MOOD_FINISH_KEY + str(username), 1)
    sp.calculate_history_like_agree()
    sp.re.set(CLEAN_DATA_KEY + username, 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)