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@@ -592,7 +592,7 @@ def video_rank_with_old_video(rank_result, old_video_recall, size, top_K, old_vi
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return new_rank_result[:size]
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-def video_new_rank2(data, size, top_K, flow_pool_P, ab_code):
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+def video_new_rank2(data, size, top_K, flow_pool_P, ab_code, flowConfig=None):
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"""
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视频分发排序
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:param data: 各路召回的视频 type-dict {'rov_pool_recall': [], 'flow_pool_recall': []}
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@@ -653,30 +653,42 @@ def video_new_rank2(data, size, top_K, flow_pool_P, ab_code):
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else:
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rank_result.extend(flow_recall_rank[:top_K])
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flow_recall_rank = flow_recall_rank[top_K:]
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- # 按概率 p 及score排序获取 size - k 个视频
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- i = 0
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- while i < size - top_K:
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- # 随机生成[0, 1)浮点数
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- rand = random.random()
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- # log_.info('rand: {}'.format(rand))
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- if rand < flow_pool_P:
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- if flow_recall_rank:
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- rank_result.append(flow_recall_rank[0])
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- flow_recall_rank.remove(flow_recall_rank[0])
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- else:
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- rank_result.extend(rov_recall_rank[:size - top_K - i])
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- return rank_result[:size]
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- else:
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- if rov_recall_rank:
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+ flow_result = 0
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+ if flowConfig == "1" and len(rov_recall_rank)>0:
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+ for recall_item in rank_result:
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+ flow_recall = recall_item.get("flowPool", '')
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+ if flow_recall.split("#") > -1:
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+ flow_result = flow_result + 1
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+ if flow_result > 0:
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+ if len(rov_recall_rank) > 0:
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rank_result.append(rov_recall_rank[0])
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- rov_recall_rank.remove(rov_recall_rank[0])
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+ elif len(flow_recall_rank) > 0:
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+ rank_result.append(flow_recall_rank[0])
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+ else:
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+ # 按概率 p 及score排序获取 size - k 个视频
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+ i = 0
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+ while i < size - top_K:
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+ # 随机生成[0, 1)浮点数
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+ rand = random.random()
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+ # log_.info('rand: {}'.format(rand))
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+ if rand < flow_pool_P:
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+ if flow_recall_rank:
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+ rank_result.append(flow_recall_rank[0])
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+ flow_recall_rank.remove(flow_recall_rank[0])
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+ else:
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+ rank_result.extend(rov_recall_rank[:size - top_K - i])
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+ return rank_result[:size]
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else:
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- rank_result.extend(flow_recall_rank[:size - top_K - i])
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- return rank_result[:size]
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- i += 1
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+ if rov_recall_rank:
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+ rank_result.append(rov_recall_rank[0])
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+ rov_recall_rank.remove(rov_recall_rank[0])
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+ else:
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+ rank_result.extend(flow_recall_rank[:size - top_K - i])
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+ return rank_result[:size]
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+ i += 1
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return rank_result[:size]
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-def video_sanke_rank(data, size, top_K, flow_pool_P, ab_Code='', exp_config=None):
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+def video_sanke_rank(data, size, top_K, flow_pool_P, ab_Code='', exp_config=None, flowConfig=None):
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"""
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视频分发排序
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:param data: 各路召回的视频 type-dict {'rov_pool_recall': [], 'flow_pool_recall': []}
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@@ -735,8 +747,8 @@ def video_sanke_rank(data, size, top_K, flow_pool_P, ab_Code='', exp_config=None
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#print("recall_config:", recall_list)
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rov_recall_rank = []
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select_ids = set('')
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- for i in range(3):
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- if len(rov_recall_rank)>8:
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+ for i in range(4):
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+ if len(rov_recall_rank)>16:
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break
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for per_recall_item in recall_list:
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per_recall_name = per_recall_item[0]
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@@ -768,10 +780,10 @@ def video_sanke_rank(data, size, top_K, flow_pool_P, ab_Code='', exp_config=None
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top_K=top_K)
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# log_.info('remove_duplicate finished! rov_recall_rank = {}, flow_recall_rank = {}'.format(
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# rov_recall_rank, flow_recall_rank))
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-
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+ # add flow result
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# rank_result = relevant_recall_rank
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rank_result = []
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-
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+ flow_result = 0
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# 从ROV召回池中获取top k
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if len(rov_recall_rank) > 0:
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rank_result.extend(rov_recall_rank[:top_K])
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@@ -779,29 +791,39 @@ def video_sanke_rank(data, size, top_K, flow_pool_P, ab_Code='', exp_config=None
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else:
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rank_result.extend(flow_recall_rank[:top_K])
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flow_recall_rank = flow_recall_rank[top_K:]
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-
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- # 按概率 p 及score排序获取 size - k 个视频
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- i = 0
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- while i < size - top_K:
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- # 随机生成[0, 1)浮点数
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- rand = random.random()
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- # log_.info('rand: {}'.format(rand))
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- if rand < flow_pool_P:
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- if flow_recall_rank:
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- rank_result.append(flow_recall_rank[0])
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- flow_recall_rank.remove(flow_recall_rank[0])
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- else:
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- rank_result.extend(rov_recall_rank[:size - top_K - i])
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- return rank_result[:size]
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- else:
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- if rov_recall_rank:
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+ if flowConfig=="1" and len(rov_recall_rank)>0:
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+ for recall_item in rank_result:
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+ flow_recall = recall_item.get("flowPool", '')
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+ if flow_recall.split("#")>-1:
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+ flow_result = flow_result+1
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+ if flow_result>0:
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+ if len(rov_recall_rank)>0:
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rank_result.append(rov_recall_rank[0])
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- rov_recall_rank.remove(rov_recall_rank[0])
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+ elif len(flow_recall_rank)>0:
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+ rank_result.append(flow_recall_rank[0])
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+ else:
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+ # 按概率 p 及score排序获取 size - k 个视频
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+ i = 0
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+ while i < size - top_K:
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+ # 随机生成[0, 1)浮点数
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+ rand = random.random()
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+ # log_.info('rand: {}'.format(rand))
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+ if rand < flow_pool_P:
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+ if flow_recall_rank:
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+ rank_result.append(flow_recall_rank[0])
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+ flow_recall_rank.remove(flow_recall_rank[0])
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+ else:
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+ rank_result.extend(rov_recall_rank[:size - top_K - i])
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+ return rank_result[:size]
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else:
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- rank_result.extend(flow_recall_rank[:size - top_K - i])
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- return rank_result[:size]
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- i += 1
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- return rank_result[:size]
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+ if rov_recall_rank:
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+ rank_result.append(rov_recall_rank[0])
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+ rov_recall_rank.remove(rov_recall_rank[0])
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+ else:
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+ rank_result.extend(flow_recall_rank[:size - top_K - i])
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+ return rank_result[:size]
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+ i += 1
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+ return rank_result[:size], flow_result
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