Commit 39298667 authored by 段英荣's avatar 段英荣

modify linucb

parent 61a8599e
......@@ -85,52 +85,53 @@ class CollectData(object):
for ori_msg in kafka_consumer_obj:
logging.info(ori_msg)
value_dict = json.loads(ori_msg.value)
if "@raw" in value_dict:
raw_val_dict = json.loads(value_dict["@raw"])
if "type" in raw_val_dict and "on_click_feed_topic_card"==raw_val_dict["type"]:
topic_id = raw_val_dict["params"]["business_id"]
device_id = raw_val_dict["device"]["device_id"]
raw_val_dict = json.loads(ori_msg.value)
logging.info("consume topic_id:%s,device_id:%s" % (str(topic_id),str(device_id)))
if "type" in raw_val_dict and "on_click_feed_topic_card"==raw_val_dict["type"]:
topic_id = raw_val_dict["params"]["business_id"]
device_id = raw_val_dict["device"]["device_id"]
tag_list = list()
sql_query_results = TopicTag.objects.filter(is_online=True,topic_id=topic_id)
for sql_item in sql_query_results:
tag_list.append(sql_item.tag_id)
logging.info("consume topic_id:%s,device_id:%s" % (str(topic_id),str(device_id)))
tag_list = list()
sql_query_results = TopicTag.objects.filter(is_online=True,topic_id=topic_id)
for sql_item in sql_query_results:
tag_list.append(sql_item.tag_id)
is_click = 1
is_vote = 0
is_click = 1
is_vote = 0
reward = 1 if is_click or is_vote else 0
reward = 1 if is_click or is_vote else 0
for tag_id in tag_list:
self.update_user_linucb_tag_info(reward,device_id,tag_id,user_feature)
for tag_id in tag_list:
self.update_user_linucb_tag_info(reward,device_id,tag_id,user_feature)
# 更新该用户的推荐tag数据,放在 更新完成user tag行为信息之后
self.update_recommend_tag_list(device_id, user_feature)
elif "type" in raw_val_dict and "page_precise_exposure"==raw_val_dict["type"]:
exposure_cards_list = raw_val_dict["params"]["exposure_cards"]
device_id = raw_val_dict["device"]["device_id"]
for item in exposure_cards_list:
exposure_topic_id = item["card_id"]
logging.info("consume exposure topic_id:%s,device_id:%s" % (str(exposure_topic_id),str(device_id)))
# 更新该用户的推荐tag数据,放在 更新完成user tag行为信息之后
self.update_recommend_tag_list(device_id, user_feature)
elif "type" in raw_val_dict and "page_precise_exposure"==raw_val_dict["type"]:
exposure_cards_list = raw_val_dict["params"]["exposure_cards"]
device_id = raw_val_dict["device"]["device_id"]
for item in exposure_cards_list:
exposure_topic_id = item["card_id"]
logging.info("consume exposure topic_id:%s,device_id:%s" % (str(exposure_topic_id),str(device_id)))
tag_list = list()
sql_query_results = TopicTag.objects.filter(is_online=True,topic_id=exposure_topic_id)
for sql_item in sql_query_results:
tag_list.append(sql_item.tag_id)
tag_list = list()
sql_query_results = TopicTag.objects.filter(is_online=True,topic_id=exposure_topic_id)
for sql_item in sql_query_results:
tag_list.append(sql_item.tag_id)
is_click = 0
is_vote = 0
is_click = 0
is_vote = 0
reward = 1 if is_click or is_vote else 0
reward = 1 if is_click or is_vote else 0
for tag_id in tag_list:
self.update_user_linucb_tag_info(reward,device_id,tag_id,user_feature)
for tag_id in tag_list:
self.update_user_linucb_tag_info(reward,device_id,tag_id,user_feature)
# 更新该用户的推荐tag数据,放在 更新完成user tag行为信息之后
self.update_recommend_tag_list(device_id, user_feature)
# 更新该用户的推荐tag数据,放在 更新完成user tag行为信息之后
self.update_recommend_tag_list(device_id, user_feature)
else:
logging.warning("unknown type msg:%s" % raw_val_dict.get("type","missing type"))
return True
except:
......
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