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@@ -642,6 +642,7 @@ def video_new_rank2(data, size, top_K, flow_pool_P, ab_code, mid, exp_config=Non
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#print("env_dict:", env_dict)
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feature_dict = get_featurs(mid, data, size, top_K, flow_pool_P, rec_recall_vid_list,env_dict, video_static_info, video_hour_static_info)
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score_result = get_tf_serving_sores(feature_dict)
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+
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#print("score_result:", score_result)
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if video_scores and len(video_scores)>0 and rec_recall_item_list and score_result and len(score_result) > 0\
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and len(score_result) == len(rec_recall_item_list) and len(video_scores)== len(score_result):
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@@ -655,27 +656,33 @@ def video_new_rank2(data, size, top_K, flow_pool_P, ab_code, mid, exp_config=Non
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else:
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total_score = return_score * score_result[i][0]
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rec_recall_item_list[i]['sort_score'] = total_score
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+ rec_recall_item_list[i]['base_rov_score'] = 0.0
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+ rec_recall_item_list[i]['share_score'] = return_score
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else:
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video_score_str = json.loads(video_scores[i])
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# sore_index :10 = model score
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+ return_score = 0.000000001
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if sort_index == 10:
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total_score = score_result[i][0]
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else:
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- return_score = 0.000000001
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if len(video_score_str)>= sort_index and len(video_score_str)>0:
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return_score = video_score_str[sort_index]
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total_score = return_score * score_result[i][0]
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#print("total_score:", total_score, " model score :", score_result[i][0], "return_score:",
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# return_score)
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rec_recall_item_list[i]['sort_score'] = total_score
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+ rec_recall_item_list[i]['base_rov_score'] = video_score_str[0]
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+ rec_recall_item_list[i]['share_score'] = return_score
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except Exception as e:
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#print('exception: {}:', e)
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+ return_score = 0.000000001
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if sort_index == 10:
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total_score = 0.00000001
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else:
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- return_score = 0.000000001
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total_score = return_score * 0.00000001
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rec_recall_item_list[i]['sort_score'] = total_score
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+ rec_recall_item_list[i]['base_rov_score'] = video_score_str[0]
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+ rec_recall_item_list[i]['share_score'] = return_score
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rec_recall_item_list[i]['flag_call_service'] = 1
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rov_recall_rank = sorted(rec_recall_item_list, key=lambda k: k.get('sort_score', 0), reverse=True)
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else:
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linfan