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@@ -166,7 +166,7 @@ def cal_score(df, param):
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return df
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return df
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-def add_videos(initial_df, now_date, rule_key, region, data_key):
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+def add_videos(initial_df, now_date, rule_key, region, data_key, hour_count, top):
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"""
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"""
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地域小时级数据列表中增加前6h优质视频
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地域小时级数据列表中增加前6h优质视频
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:param initial_df: 地域小时级筛选结果
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:param initial_df: 地域小时级筛选结果
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@@ -174,20 +174,23 @@ def add_videos(initial_df, now_date, rule_key, region, data_key):
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:param data_key:
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:param data_key:
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:param region:
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:param region:
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:param rule_key:
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:param rule_key:
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+ :param hour_count: 前几个小时, type-int
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+ :param top: type-int
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:return: df
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:return: df
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"""
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"""
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redis_helper = RedisHelper()
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redis_helper = RedisHelper()
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pre_h_data = []
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pre_h_data = []
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- for pre_h in range(1, 7):
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- pre_date = now_date - datetime.timedelta(hours=pre_h)
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-
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-
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+ for i in range(1, hour_count+1):
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+ pre_date = now_date - datetime.timedelta(hours=i)
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+ pre_h = pre_date.hour
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pre_h_recall_key_name = f"{config_.RECALL_KEY_NAME_PREFIX_REGION_BY_H}{region}:{data_key}:{rule_key}:" \
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pre_h_recall_key_name = f"{config_.RECALL_KEY_NAME_PREFIX_REGION_BY_H}{region}:{data_key}:{rule_key}:" \
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- f"{datetime.datetime.strftime(now_date, '%Y%m%d')}:{pre_h}"
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- initial_data = redis_helper.get_all_data_from_zset(key_name=pre_h_recall_key_name, with_scores=True)
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- if initial_data is None:
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+ f"{datetime.datetime.strftime(pre_date, '%Y%m%d')}:{pre_h}"
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+ pre_h_top_data = redis_helper.get_data_zset_with_index(key_name=pre_h_recall_key_name,
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+ start=0, end=top-1,
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+ desc=True, with_scores=True)
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+ if pre_h_top_data is None:
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continue
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continue
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- pre_h_data.extend(initial_data)
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+ pre_h_data.extend(pre_h_top_data)
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pre_h_df = pd.DataFrame(data=pre_h_data, columns=['videoid', 'score'])
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pre_h_df = pd.DataFrame(data=pre_h_data, columns=['videoid', 'score'])
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score_list = initial_df['score'].to_list()
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score_list = initial_df['score'].to_list()
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if len(score_list) > 0:
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if len(score_list) > 0:
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@@ -203,7 +206,7 @@ def add_videos(initial_df, now_date, rule_key, region, data_key):
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return df
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return df
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-def video_rank(df, now_date, now_h, rule_key, param, region, data_key, rule_rank_h_flag, add_videos_in_20h=False):
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+def video_rank(df, now_date, now_h, rule_key, param, region, data_key, rule_rank_h_flag, add_videos_with_pre6h=False):
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"""
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"""
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获取符合进入召回源条件的视频,与每日更新的rov模型结果视频列表进行合并
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获取符合进入召回源条件的视频,与每日更新的rov模型结果视频列表进行合并
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:param df:
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:param df:
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@@ -228,13 +231,10 @@ def video_rank(df, now_date, now_h, rule_key, param, region, data_key, rule_rank
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h_recall_df = h_recall_df.drop_duplicates(subset=['videoid'], keep='first')
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h_recall_df = h_recall_df.drop_duplicates(subset=['videoid'], keep='first')
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h_recall_df['videoid'] = h_recall_df['videoid'].astype(int)
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h_recall_df['videoid'] = h_recall_df['videoid'].astype(int)
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- # 20点增加打捞的优质视频
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- if now_h == 20 and add_videos_in_20h is True:
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- # print(len(h_recall_df))
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+ # 增加打捞的优质视频
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+ if add_videos_with_pre6h is True:
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h_recall_df = add_videos(initial_df=h_recall_df, now_date=now_date, rule_key=rule_key,
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h_recall_df = add_videos(initial_df=h_recall_df, now_date=now_date, rule_key=rule_key,
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- region=region, data_key=data_key)
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- # print(len(h_recall_df))
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-
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+ region=region, data_key=data_key, hour_count=6, top=10)
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h_recall_videos = h_recall_df['videoid'].to_list()
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h_recall_videos = h_recall_df['videoid'].to_list()
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# log_.info(f'h_recall videos count = {len(h_recall_videos)}')
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# log_.info(f'h_recall videos count = {len(h_recall_videos)}')
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@@ -421,7 +421,7 @@ def merge_df_with_score(df_left, df_right):
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def process_with_region(region, df_merged, data_key, rule_key, rule_param, now_date, now_h,
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def process_with_region(region, df_merged, data_key, rule_key, rule_param, now_date, now_h,
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- rule_rank_h_flag, add_videos_in_20h):
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+ rule_rank_h_flag, add_videos_with_pre6h):
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log_.info(f"region = {region} start...")
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log_.info(f"region = {region} start...")
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# 计算score
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# 计算score
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region_df = df_merged[df_merged['code'] == region]
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region_df = df_merged[df_merged['code'] == region]
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@@ -429,18 +429,18 @@ def process_with_region(region, df_merged, data_key, rule_key, rule_param, now_d
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score_df = cal_score(df=region_df, param=rule_param)
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score_df = cal_score(df=region_df, param=rule_param)
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video_rank(df=score_df, now_date=now_date, now_h=now_h, rule_key=rule_key, param=rule_param,
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video_rank(df=score_df, now_date=now_date, now_h=now_h, rule_key=rule_key, param=rule_param,
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region=region, data_key=data_key, rule_rank_h_flag=rule_rank_h_flag,
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region=region, data_key=data_key, rule_rank_h_flag=rule_rank_h_flag,
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- add_videos_in_20h=add_videos_in_20h)
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+ add_videos_with_pre6h=add_videos_with_pre6h)
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log_.info(f"region = {region} end!")
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log_.info(f"region = {region} end!")
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def process_with_region2(region, df_merged, data_key, rule_key, rule_param, now_date, now_h,
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def process_with_region2(region, df_merged, data_key, rule_key, rule_param, now_date, now_h,
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- rule_rank_h_flag, add_videos_in_20h):
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+ rule_rank_h_flag, add_videos_with_pre6h):
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log_.info(f"region = {region} start...")
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log_.info(f"region = {region} start...")
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region_score_df = df_merged[df_merged['code'] == region]
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region_score_df = df_merged[df_merged['code'] == region]
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log_.info(f'region = {region}, region_score_df count = {len(region_score_df)}')
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log_.info(f'region = {region}, region_score_df count = {len(region_score_df)}')
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video_rank(df=region_score_df, now_date=now_date, now_h=now_h, region=region,
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video_rank(df=region_score_df, now_date=now_date, now_h=now_h, region=region,
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rule_key=rule_key, param=rule_param, data_key=data_key, rule_rank_h_flag=rule_rank_h_flag,
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rule_key=rule_key, param=rule_param, data_key=data_key, rule_rank_h_flag=rule_rank_h_flag,
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- add_videos_in_20h=add_videos_in_20h)
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+ add_videos_with_pre6h=add_videos_with_pre6h)
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log_.info(f"region = {region} end!")
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log_.info(f"region = {region} end!")
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@@ -536,8 +536,8 @@ def process_with_param(param, data_params_item, rule_params_item, region_code_li
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rule_param = rule_params_item.get(rule_key)
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rule_param = rule_params_item.get(rule_key)
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log_.info(f"rule_key = {rule_key}, rule_param = {rule_param}")
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log_.info(f"rule_key = {rule_key}, rule_param = {rule_param}")
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merge_func = rule_param.get('merge_func', None)
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merge_func = rule_param.get('merge_func', None)
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- # 是否在20点的数据中增加打捞的优质视频
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- add_videos_in_20h = rule_param.get('add_videos_in_20h', False)
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+ # 是否在地域小时级数据中增加打捞的优质视频
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+ add_videos_with_pre6h = rule_param.get('add_videos_with_pre6h', False)
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if merge_func == 2:
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if merge_func == 2:
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score_df_list = []
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score_df_list = []
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@@ -554,7 +554,7 @@ def process_with_param(param, data_params_item, rule_params_item, region_code_li
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task_list = [
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task_list = [
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gevent.spawn(process_with_region2,
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gevent.spawn(process_with_region2,
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region, df_merged, data_key, rule_key, rule_param, now_date, now_h, rule_rank_h_flag,
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region, df_merged, data_key, rule_key, rule_param, now_date, now_h, rule_rank_h_flag,
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- add_videos_in_20h)
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+ add_videos_with_pre6h)
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for region in region_code_list
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for region in region_code_list
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]
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]
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else:
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else:
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@@ -563,7 +563,7 @@ def process_with_param(param, data_params_item, rule_params_item, region_code_li
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task_list = [
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task_list = [
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gevent.spawn(process_with_region,
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gevent.spawn(process_with_region,
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region, df_merged, data_key, rule_key, rule_param, now_date, now_h, rule_rank_h_flag,
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region, df_merged, data_key, rule_key, rule_param, now_date, now_h, rule_rank_h_flag,
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- add_videos_in_20h)
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+ add_videos_with_pre6h)
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for region in region_code_list
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for region in region_code_list
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]
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]
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@@ -743,9 +743,9 @@ def h_timer_check():
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project = config_.PROJECT_REGION_APP_TYPE
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project = config_.PROJECT_REGION_APP_TYPE
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table = config_.TABLE_REGION_APP_TYPE
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table = config_.TABLE_REGION_APP_TYPE
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region_code_list = [code for region, code in region_code.items()]
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region_code_list = [code for region, code in region_code.items()]
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- now_date = datetime.datetime.today()
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+ now_date = datetime.datetime.today() - datetime.timedelta(hours=1)
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log_.info(f"now_date: {datetime.datetime.strftime(now_date, '%Y%m%d%H')}, rule_rank_h_flag: {rule_rank_h_flag}")
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log_.info(f"now_date: {datetime.datetime.strftime(now_date, '%Y%m%d%H')}, rule_rank_h_flag: {rule_rank_h_flag}")
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- now_h = datetime.datetime.now().hour
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+ now_h = datetime.datetime.now().hour - 1
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now_min = datetime.datetime.now().minute
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now_min = datetime.datetime.now().minute
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if now_h == 0:
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if now_h == 0:
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h_rank_bottom(now_date=now_date, now_h=now_h, rule_params=rule_params, region_code_list=region_code_list,
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h_rank_bottom(now_date=now_date, now_h=now_h, rule_params=rule_params, region_code_list=region_code_list,
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