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@@ -142,7 +142,7 @@ def positon_duplicate(pos1_vids, pos2_vids, videos):
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def video_recommend(request_id, mid, uid, size, top_K, flow_pool_P, app_type, algo_type, client_info,
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expire_time=24*3600, ab_code=config_.AB_CODE['initial'], rule_key='', data_key='',
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no_op_flag=False, old_video_index=-1, video_id=None, params=None, rule_key_30day=None,
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- shield_config=None, level_weight=None, flow_pool_abtest_group=None):
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+ shield_config=None, level_weight=None, flow_pool_abtest_group=None, env_dict=None):
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"""
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首页线上推荐逻辑
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:param request_id: request_id
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@@ -185,7 +185,7 @@ def video_recommend(request_id, mid, uid, size, top_K, flow_pool_P, app_type, al
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app_type=app_type, mid=mid, uid=uid, ab_code=ab_code,
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client_info=client_info, rule_key=rule_key, data_key=data_key, no_op_flag=no_op_flag,
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params=params, rule_key_30day=rule_key_30day, shield_config=shield_config,
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- video_id= video_id, level_weight=level_weight)
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+ video_id= video_id, level_weight=level_weight, env_dict=env_dict)
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# _, last_rov_recall_key, _ = pool_recall.get_video_last_idx()
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# # 小时级实验
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# if ab_code in [code for _, code in config_.AB_CODE['rank_by_h'].items()]:
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@@ -2044,7 +2044,7 @@ def video_homepage_recommend(request_id, mid, uid, size, app_type, algo_type,
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ab_code=ab_code, expire_time=expire_time, rule_key=rule_key, data_key=data_key,
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no_op_flag=no_op_flag, old_video_index=old_video_index, params=params,
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rule_key_30day=rule_key_30day, shield_config=shield_config, level_weight=level_weight,
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- flow_pool_abtest_group=flow_pool_abtest_group)
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+ flow_pool_abtest_group=flow_pool_abtest_group, env_dict=env_dict)
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# log_.info({
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# 'logTimestamp': int(time.time() * 1000),
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# 'request_id': request_id,
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zhangbo