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@@ -80,47 +80,34 @@ def get_featurs(data, size, top_K, flow_pool_P, env_dict=None):
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vid = vidKeys[i].replace(pre_str,"")
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if video_static_info[i] :
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per_video_staic = json.loads(video_static_info[i])
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- if vid in feature_dict:
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- vid_fea_info = feature_dict[vid]
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- day_rov_list.append(per_video_staic[0])
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- day_share_return_score_list.append(per_video_staic[1])
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- day_share_score_list.append(per_video_staic[2])
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- day_return_rate_list.append(per_video_staic[3])
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- day_ctr_score_list.append(per_video_staic[4])
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- day_view_users_list.append(per_video_staic[5])
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- day_view_pv_list.append(per_video_staic[6])
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- day_play_users_list.append(per_video_staic[7])
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- day_play_pv_list.append(per_video_staic[8])
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- day_share_users.append(per_video_staic[9])
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- day_share_pv_list.append(per_video_staic[10])
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- day_return_users_list.append(per_video_staic[11])
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+ day_rov_list.append(per_video_staic[0])
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+ day_share_return_score_list.append(per_video_staic[1])
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+ day_share_score_list.append(per_video_staic[2])
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+ day_return_rate_list.append(per_video_staic[3])
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+ day_ctr_score_list.append(per_video_staic[4])
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+ day_view_users_list.append(per_video_staic[5])
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+ day_view_pv_list.append(per_video_staic[6])
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+ day_play_users_list.append(per_video_staic[7])
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+ day_play_pv_list.append(per_video_staic[8])
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+ day_share_users.append(per_video_staic[9])
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+ day_share_pv_list.append(per_video_staic[10])
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+ day_return_users_list.append(per_video_staic[11])
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+ else:
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+ insert_static_default_fea(day_ctr_score_list, day_play_pv_list, day_play_users_list,
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+ day_return_rate_list, day_return_users_list, day_rov_list,
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+ day_share_pv_list, day_share_return_score_list, day_share_score_list,
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+ day_share_users, day_view_pv_list, day_view_users_list)
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except Exception:
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- day_rov_list.append(0.0)
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- day_share_return_score_list.append(0.0)
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- day_share_score_list.append(0.0)
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- day_return_rate_list.append(0.0)
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- day_ctr_score_list.append(0.0)
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- day_view_users_list.append(0)
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- day_view_pv_list.append(0)
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- day_play_users_list.append(0)
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- day_play_pv_list.append(0)
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- day_share_users.append(0)
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- day_share_pv_list.append(0)
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- day_return_users_list.append(0)
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+ insert_static_default_fea(day_ctr_score_list, day_play_pv_list, day_play_users_list,
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+ day_return_rate_list, day_return_users_list, day_rov_list,
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+ day_share_pv_list, day_share_return_score_list, day_share_score_list,
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+ day_share_users, day_view_pv_list, day_view_users_list)
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else:
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for i in range(len(recall_list)):
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- day_rov_list.append(0.0)
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- day_share_return_score_list.append(0.0)
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- day_share_score_list.append(0.0)
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- day_return_rate_list.append(0.0)
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- day_ctr_score_list.append(0.0)
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- day_view_users_list.append(0)
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- day_view_pv_list.append(0)
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- day_play_users_list.append(0)
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- day_play_pv_list.append(0)
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- day_share_users.append(0)
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- day_share_pv_list.append(0)
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- day_return_users_list.append(0)
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+ insert_static_default_fea(day_ctr_score_list, day_play_pv_list, day_play_users_list,
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+ day_return_rate_list, day_return_users_list, day_rov_list,
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+ day_share_pv_list, day_share_return_score_list, day_share_score_list,
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+ day_share_users, day_view_pv_list, day_view_users_list)
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feature_dict["mid_list"] = mid_list
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feature_dict["videoid_list"] = videoid_list
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feature_dict["apptype_list"] = apptype_list
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@@ -147,6 +134,24 @@ def get_featurs(data, size, top_K, flow_pool_P, env_dict=None):
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feature_dict["day_share_users_list"] = day_share_users
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return feature_dict, recall_list
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+
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+def insert_static_default_fea(day_ctr_score_list, day_play_pv_list, day_play_users_list, day_return_rate_list,
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+ day_return_users_list, day_rov_list, day_share_pv_list, day_share_return_score_list,
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+ day_share_score_list, day_share_users, day_view_pv_list, day_view_users_list):
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+ day_rov_list.append(0.0)
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+ day_share_return_score_list.append(0.0)
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+ day_share_score_list.append(0.0)
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+ day_return_rate_list.append(0.0)
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+ day_ctr_score_list.append(0.0)
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+ day_view_users_list.append(0)
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+ day_view_pv_list.append(0)
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+ day_play_users_list.append(0)
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+ day_play_pv_list.append(0)
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+ day_share_users.append(0)
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+ day_share_pv_list.append(0)
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+ day_return_users_list.append(0)
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+
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+
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def get_tf_serving_sores(feature_dict):
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#for k, v in feature_dict:
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inputs_data = {
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linfan