import datetime import logging import multiprocessing import time import traceback import gevent from threading import Timer from my_utils import RedisHelper, data_check, get_feature_data, send_msg_to_feishu from my_config import set_config from log import Log config_, _ = set_config() log_ = Log() redis_helper = RedisHelper() # features = [ # 'apptype', # 'return1mids', # 'return2_3mids', # 'return4_8mids', # 'return9_24mids', # 'return25_nmids', # 'return0share1mids', # 'return0share2_nmids' # ] def to_redis(group, mid_list, class_key_list): log_.info(f"group = {group} update redis start ...") start_time = time.time() log_.info(f"mid count = {len(mid_list)}") for class_key in class_key_list: for i in range(len(mid_list) // 100 + 1): # log_.info(f"i = {i}") mid_temp_list = mid_list[i * 100:(i + 1) * 100] # print(mid_temp_list) task_list = [ gevent.spawn(redis_helper.set_data_to_redis, f"{config_.KEY_NAME_PREFIX_MID_GROUP}{class_key}:{mid}", group, 28 * 3600) for mid in mid_temp_list ] gevent.joinall(task_list) log_.info(f"group = {group}, mid count = {len(mid_list)}, update redis finished! " f"execute time = {(time.time() - start_time) / 60}min") def update_user_group_to_redis(project, table, dt, app_type_list, features, ad_mid_group_key_params): """更新mid对应分组到redis中""" # 获取用户分组数据 feature_df = get_feature_data(project=project, table=table, features=features, dt=dt) feature_df['apptype'] = feature_df['apptype'].astype(int) feature_df = feature_df[feature_df['apptype'].isin(app_type_list)] # print(len(feature_df)) # group_list = features[1:] pool = multiprocessing.Pool(processes=len(ad_mid_group_key_params)) for group, class_key_list in ad_mid_group_key_params.items(): mid_list = feature_df[group].tolist() mid_list = list(set(mid_list)) mid_list = [mid for mid in mid_list if mid is not None] # class_key_list = ad_mid_group_key_params.get(group) pool.apply_async(func=to_redis, args=(group, mid_list, class_key_list)) pool.close() pool.join() def get_group_keys_mapping(ad_mid_group): ad_mid_group_key_params = {} features = ['apptype'] for class_key, group_list in ad_mid_group.items(): for group in group_list: if group not in features: features.append(group) ad_mid_group_key_params[group] = [class_key] else: ad_mid_group_key_params[group].append(class_key) return features, ad_mid_group_key_params def timer_check(): try: app_type_list = config_.AD_APP_TYPE_LIST ad_mid_group = config_.AD_MID_GROUP # 用户分组~ project = config_.ad_model_data['user_group'].get('project') table = config_.ad_model_data['user_group'].get('table') now_date = datetime.datetime.today() dt = datetime.datetime.strftime(now_date, '%Y%m%d') log_.info(f"now_date: {dt}") now_min = datetime.datetime.now().minute # 查看当前更新的数据是否已准备好 data_count = data_check(project=project, table=table, dt=dt) if data_count > 0: log_.info(f"user group data count = {data_count}") # 获取features & 用户分组对应key features, ad_mid_group_key_params = get_group_keys_mapping(ad_mid_group=ad_mid_group) log_.info(f"features = {features}, \nad_mid_group_key_params = {ad_mid_group_key_params}") # 数据准备好,进行更新 update_user_group_to_redis(project=project, table=table, dt=dt, app_type_list=app_type_list, features=features, ad_mid_group_key_params=ad_mid_group_key_params) log_.info(f"user group data update end!") send_msg_to_feishu( webhook=config_.FEISHU_ROBOT['ad_user_group_update_robot'].get('webhook'), key_word=config_.FEISHU_ROBOT['ad_user_group_update_robot'].get('key_word'), msg_text=f"\nrov-offline{config_.ENV_TEXT} - 用户分组数据更新完成\n" ) else: # 数据没准备好,1分钟后重新检查 Timer(60, timer_check).start() except Exception as e: log_.error(f"用户分组数据更新失败, exception: {e}, traceback: {traceback.format_exc()}") send_msg_to_feishu( webhook=config_.FEISHU_ROBOT['ad_user_group_update_robot'].get('webhook'), key_word=config_.FEISHU_ROBOT['ad_user_group_update_robot'].get('key_word'), msg_text=f"\nrov-offline{config_.ENV_TEXT} - 用户分组数据更新失败\n" f"exception: {e}\n" f"traceback: {traceback.format_exc()}" ) # 5分钟后重试 Timer(5*60, timer_check).start() if __name__ == '__main__': timer_check()