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Commit 81fbb0fb authored by xqf's avatar xqf
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fix regist and search page concern tag weigth to 10

parent bcf0a311
test deploy/like-test
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linucb/views/collect_data.py
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# -*- coding: UTF-8 -*-
# !/usr/bin/env python
from kafka import KafkaConsumer
import random
from libs.cache import redis_client
import logging
from linucb.views.linucb import LinUCB
import json
from trans2es.models.tag import TopicTag,Tag
from trans2es.models.topic import TopicHomeRecommend
import os
import traceback
import msgpack
from django.conf import settings
from kafka import KafkaConsumer
import libs.tools as Tools
from libs.cache import redis_client
from libs.error import logging_exception
from libs.es import ESPerform
from linucb.views.linucb import LinUCB
from search.utils.common import *
import libs.tools as Tools
from search.views.tag import get_same_tagset_ids
from trans2es.models.pictorial import CommunityPictorialHomeFeed
from trans2es.models.portrait_stat import LikeDeviceTagStat
from libs.error import logging_exception
import os
from search.views.tag import get_same_tagset_ids
import msgpack
from trans2es.models.tag import TopicTag, Tag
from trans2es.models.topic import TopicHomeRecommend
def loads_data(data):
try:
result = json.loads(data)
msg = True
return result,msg
return result, msg
except:
result = msgpack.loads(data)
msg = False
return result,msg
return result, msg
class KafkaManager(object):
......@@ -38,7 +38,6 @@ class KafkaManager(object):
@classmethod
def get_kafka_consumer_ins(cls, topic_name=None):
if not cls.consumser_obj:
topic_name = settings.KAFKA_TOPIC_NAME if not topic_name else topic_name
gm_logging_name = settings.KAFKA_GM_LOGGING_TOPIC_NAME
......@@ -47,6 +46,7 @@ class KafkaManager(object):
return cls.consumser_obj
class CollectData(object):
def __init__(self):
......@@ -68,7 +68,6 @@ class CollectData(object):
# 默认
self.user_feature = [0, 1]
def _get_user_linucb_info(self, device_id, linucb_matrix_prefix):
try:
redis_key = linucb_matrix_prefix + str(device_id)
......@@ -83,7 +82,8 @@ class CollectData(object):
return dict()
def update_recommend_tag_list(self, device_id, user_feature=None, user_id=None, click_topic_tag_list=None,
new_user_click_tag_list=[], linucb_matrix_prefix=None, linucb_recommend_tag_prefix=None,
new_user_click_tag_list=[], linucb_matrix_prefix=None,
linucb_recommend_tag_prefix=None,
linucb_topic_ids_prefix=None, linucb_pictorial_ids_prefix=None):
try:
redis_linucb_tag_data_dict = self._get_user_linucb_info(device_id, linucb_matrix_prefix)
......@@ -101,13 +101,16 @@ class CollectData(object):
if len(recommend_tag_list) > 0:
tag_recommend_redis_key = linucb_recommend_tag_prefix + str(device_id)
redis_client.set(tag_recommend_redis_key, json.dumps(recommend_tag_list))
redis_client.expire(tag_recommend_redis_key, 30*24*60*60)
redis_client.expire(tag_recommend_redis_key, 30 * 24 * 60 * 60)
have_read_topic_id_list = Tools.get_have_read_topic_id_list(device_id,user_id,TopicPageType.HOME_RECOMMEND)
have_read_topic_id_list = Tools.get_have_read_topic_id_list(device_id, user_id,
TopicPageType.HOME_RECOMMEND)
have_read_lin_pictorial_id_list = Tools.get_have_read_lin_pictorial_id_list(device_id, user_id,
TopicPageType.HOME_RECOMMEND)
promote_recommend_topic_id_list = TopicHomeRecommend.objects.using(settings.SLAVE1_DB_NAME).filter(is_online=1).values_list("topic_id",flat=True)
promote_lin_pictorial_id_list = CommunityPictorialHomeFeed.objects.using(settings.SLAVE1_DB_NAME).filter(
promote_recommend_topic_id_list = TopicHomeRecommend.objects.using(settings.SLAVE1_DB_NAME).filter(
is_online=1).values_list("topic_id", flat=True)
promote_lin_pictorial_id_list = CommunityPictorialHomeFeed.objects.using(
settings.SLAVE1_DB_NAME).filter(
is_deleted=0, is_online=1).values_list("pictorial_id", flat=True)
have_read_topic_id_list.extend(promote_recommend_topic_id_list)
have_read_lin_pictorial_id_list.extend(promote_lin_pictorial_id_list)
......@@ -118,10 +121,11 @@ class CollectData(object):
recommend_topic_id_list_click_dict = dict()
recommend_lin_pictorial_id_list = list()
if click_topic_tag_list and len(click_topic_tag_list)>0:
if click_topic_tag_list and len(click_topic_tag_list) > 0:
click_topic_tag_list_same_tagset_ids = get_same_tagset_ids(click_topic_tag_list)
recommend_topic_id_list_click,recommend_topic_id_list_click_dict = ESPerform.get_tag_topic_list_dict(click_topic_tag_list_same_tagset_ids,
have_read_topic_id_list,size=2)
recommend_topic_id_list_click, recommend_topic_id_list_click_dict = ESPerform.get_tag_topic_list_dict(
click_topic_tag_list_same_tagset_ids,
have_read_topic_id_list, size=2)
if len(recommend_topic_id_list_click) > 0:
recommend_topic_id_list.extend(recommend_topic_id_list_click)
recommend_topic_id_list_dict.update(recommend_topic_id_list_click_dict)
......@@ -145,35 +149,37 @@ class CollectData(object):
# b"data"] else []
# cursor = int(str(redis_topic_data_dict[b"cursor"], encoding="utf-8"))
# if len(recommend_topic_id_list)==0 and cursor==0 and len(redis_topic_list)>0:
# have_read_topic_id_list.extend(redis_topic_list[:2])
if len(new_user_click_tag_list)>0:
new_user_click_tag_list_same_tagset_ids = get_same_tagset_ids(new_user_click_tag_list)
tag_topic_id_list,tag_topic_dict = ESPerform.get_tag_topic_list_dict(new_user_click_tag_list_same_tagset_ids, have_read_topic_id_list)
recommend_lin_pictorial_id_list = ESPerform.get_tag_pictorial_id_list(new_user_click_tag_list_same_tagset_ids,
have_read_lin_pictorial_id_list)
if len(new_user_click_tag_list) > 0:
new_user_click_tag_list_same_tagset_ids = get_same_tagset_ids(new_user_click_tag_list)
tag_topic_id_list, tag_topic_dict = ESPerform.get_tag_topic_list_dict(
new_user_click_tag_list_same_tagset_ids, have_read_topic_id_list)
recommend_lin_pictorial_id_list = ESPerform.get_tag_pictorial_id_list(
new_user_click_tag_list_same_tagset_ids,
have_read_lin_pictorial_id_list)
else:
tag_id_list_same_tagset_ids = get_same_tagset_ids(tag_id_list)
tag_topic_id_list,tag_topic_dict = ESPerform.get_tag_topic_list_dict(tag_id_list_same_tagset_ids,have_read_topic_id_list)
recommend_lin_pictorial_id_list = ESPerform.get_tag_pictorial_id_list(tag_id_list_same_tagset_ids,
have_read_lin_pictorial_id_list)
tag_id_list_same_tagset_ids = get_same_tagset_ids(tag_id_list)
tag_topic_id_list, tag_topic_dict = ESPerform.get_tag_topic_list_dict(tag_id_list_same_tagset_ids,
have_read_topic_id_list)
recommend_lin_pictorial_id_list = ESPerform.get_tag_pictorial_id_list(tag_id_list_same_tagset_ids,
have_read_lin_pictorial_id_list)
if len(recommend_topic_id_list)>0 or len(tag_topic_id_list)>0 or len(new_user_click_tag_list) > 0:
if len(recommend_topic_id_list) > 0 or len(tag_topic_id_list) > 0 or len(new_user_click_tag_list) > 0:
tag_topic_id_list = recommend_topic_id_list + tag_topic_id_list
tag_topic_dict.update(recommend_topic_id_list_dict)
redis_data_dict = {
"data": json.dumps(tag_topic_id_list),
"datadict":json.dumps(tag_topic_dict),
"cursor":0
"datadict": json.dumps(tag_topic_dict),
"cursor": 0
}
redis_client.hmset(topic_recommend_redis_key,redis_data_dict)
redis_client.hmset(topic_recommend_redis_key, redis_data_dict)
if len(recommend_lin_pictorial_id_list) > 0:
pictorial_data_dict = {
"data": json.dumps(recommend_lin_pictorial_id_list),
"cursor": 0
}
redis_client.hmset(pictorial_recommend_redis_key, pictorial_data_dict)
pictorial_data_dict = {
"data": json.dumps(recommend_lin_pictorial_id_list),
"cursor": 0
}
redis_client.hmset(pictorial_recommend_redis_key, pictorial_data_dict)
return True
except:
......@@ -184,19 +190,19 @@ class CollectData(object):
def update_user_linucb_tag_info(self, reward, device_id, tag_id, user_feature, linucb_matrix_redis_prefix):
try:
user_feature = user_feature if user_feature else self.user_feature
return LinUCB.update_linucb_info(user_feature, reward, tag_id, device_id, linucb_matrix_redis_prefix, redis_client)
return LinUCB.update_linucb_info(user_feature, reward, tag_id, device_id, linucb_matrix_redis_prefix,
redis_client)
except:
logging_exception()
logging.error("update_user_linucb_tag_info error!")
return False
def transfer_old_info2ctr_feature_key(self, device_id):
try:
# 移植老用户的lin标签参数信息到ctr特征策略
ctr_linucb_matrix_redis_prefix_key = self.ctr_linucb_matrix_redis_prefix + str(device_id)
linucb_matrix_redis_prefix_key = self.linucb_matrix_redis_prefix + str(device_id)
if redis_client.exists(ctr_linucb_matrix_redis_prefix_key): #如果新策略存在lin信息，则不需要移植
if redis_client.exists(ctr_linucb_matrix_redis_prefix_key): # 如果新策略存在lin信息，则不需要移植
return True
else:
if redis_client.exists(linucb_matrix_redis_prefix_key):
......@@ -223,7 +229,7 @@ class CollectData(object):
if redis_client.exists(linucb_recommend_pictorial_id_prefix):
older_device_info = redis_client.hgetall(linucb_recommend_pictorial_id_prefix)
redis_client.hmset(ctr_linucb_recommend_pictorial_id_prefix, older_device_info)
logging.info("transfer_old_info2ctr_feature_key sucess:"+str(device_id))
logging.info("transfer_old_info2ctr_feature_key sucess:" + str(device_id))
return True
except:
logging_exception()
......@@ -246,7 +252,7 @@ class CollectData(object):
logging.error("get_device_tag_ctr error!")
return 0.0
def consume_data_from_kafka(self,topic_name=None):
def consume_data_from_kafka(self, topic_name=None):
try:
user_feature = [1, 1]
......@@ -257,15 +263,16 @@ class CollectData(object):
consume_msg = msg_dict[msg_key]
for ori_msg in consume_msg:
try:
raw_val_dict,msg = loads_data(ori_msg.value)
raw_val_dict, msg = loads_data(ori_msg.value)
if msg:
logging.info(ori_msg.value)
if "type" in raw_val_dict and \
(raw_val_dict["type"] in ("on_click_feed_topic_card","on_click_button")):
(raw_val_dict["type"] in ("on_click_feed_topic_card", "on_click_button")):
# 标签处理
click_topic_tag_list = list()
device_id = ""
if "on_click_feed_topic_card" == raw_val_dict["type"]:
topic_id = raw_val_dict["params"]["topic_id"]
topic_id = raw_val_dict["params"]["topic_id"]
device_id = raw_val_dict["device"]["device_id"]
user_id = raw_val_dict["user_id"] if "user_id" in raw_val_dict else None
......@@ -276,25 +283,36 @@ class CollectData(object):
# if collection and is_ai:
# click_topic_tag_list.append(id)
topic_tag_list = list()
#从mysql表community_topictag中获取数据
# 从mysql表community_topictag中获取数据
click_results = TopicTag.objects.using(settings.SLAVE1_DB_NAME).filter(
topic_id=topic_id, is_online=True).values_list("tag_id", "is_collection")
for tag_id, is_collection in click_results:
# topic_tag_list.append(tag_id)
if is_collection:
topic_tag_list.append(tag_id)
#从mysql表community_tag中获取数据
#标签共有1000w
#select id from communty_tag where id in (select tag_id from community_topictag)
#关联得到100w标签
# 从mysql表community_tag中获取数据
# 标签共有1000w
# select id from communty_tag where id in (select tag_id from community_topictag)
# 关联得到100w标签
tag_query_results = Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
id__in=topic_tag_list, is_online=True, is_deleted=False, is_category=False).values_list("id",
"is_ai")
id__in=topic_tag_list, is_online=True, is_deleted=False,
is_category=False).values_list("id",
"is_ai")
for id, is_ai in tag_query_results:
click_topic_tag_list.append(id)
logging.info("positive tag_list,device_id:%s,topic_id:%s,tag_list:%s" % (
str(device_id), str(topic_id), str(click_topic_tag_list)))
str(device_id), str(topic_id), str(click_topic_tag_list)))
# 更新不同策略的lin标签参数信息
#点击信息流卡片(问题卡片和回答卡片)对应的标签权重为1
for tag_id in click_topic_tag_list:
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature,
self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
user_feature_ctr = [device_tag_ctr, device_tag_ctr]
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix)
elif raw_val_dict["type"] == "on_click_button" and "page_name" in \
raw_val_dict["params"] and "button_name" in raw_val_dict["params"] \
and "extra_param" in raw_val_dict["params"]:
......@@ -303,35 +321,42 @@ class CollectData(object):
tag_name = raw_val_dict["params"]["extra_param"]
device_id = raw_val_dict["device"]["device_id"]
user_id = raw_val_dict["user_id"] if "user_id" in raw_val_dict else None
tag_list = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(name=tag_name,is_online=True,is_deleted=False, is_category=False).values_list("id",flat=True))
tag_list = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(name=tag_name,
is_online=True,
is_deleted=False,
is_category=False).values_list(
"id", flat=True))
click_topic_tag_list.extend(tag_list)
logging.info("query tag attention,positive tag_list,device_id:%s,query_name:%s,tag_list:%s" % (
str(device_id), tag_name, str(click_topic_tag_list)))
logging.info("click_topic_tag_list:%s"%(str(click_topic_tag_list)))
logging.info(
"query tag attention,positive tag_list,device_id:%s,query_name:%s,tag_list:%s" % (
str(device_id), tag_name, str(click_topic_tag_list)))
# 更新不同策略的lin标签参数信息
# 注册页和搜索页关注的标签权重为10
for i in range[10]:
for tag_id in click_topic_tag_list:
self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature,
self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
user_feature_ctr = [device_tag_ctr, device_tag_ctr]
self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix)
logging.info("click_topic_tag_list:%s" % (str(click_topic_tag_list)))
is_click = 1
is_vote = 0
# 如果点击和点赞满足一个回报即为1
reward = 1 if is_click or is_vote else 0
# 用户处理
# 移植老用户的lin信息到ctr特征策略
self.transfer_old_info2ctr_feature_key(device_id)
# 更新不同策略的lin标签参数信息
for tag_id in click_topic_tag_list:
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature,
self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
user_feature_ctr = [device_tag_ctr, device_tag_ctr]
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix)
# 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
if len(click_topic_tag_list)>0:
if len(click_topic_tag_list) > 0:
self.update_recommend_tag_list(device_id, user_feature, user_id,
click_topic_tag_list=click_topic_tag_list,
linucb_matrix_prefix=self.linucb_matrix_redis_prefix,
......@@ -397,9 +422,9 @@ class CollectData(object):
# # 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, user_id)
elif "type" in raw_val_dict and "interest_choice_click_next" == raw_val_dict["type"]:
if isinstance(raw_val_dict["params"]["tagid_list"],str):
if isinstance(raw_val_dict["params"]["tagid_list"], str):
tagid_list = json.loads(raw_val_dict["params"]["tagid_list"])
elif isinstance(raw_val_dict["params"]["tagid_list"],list):
elif isinstance(raw_val_dict["params"]["tagid_list"], list):
tagid_list = raw_val_dict["params"]["tagid_list"]
else:
tagid_list = list()
......@@ -407,43 +432,43 @@ class CollectData(object):
user_id = raw_val_dict["user_id"] if "user_id" in raw_val_dict else None
logging.info("interest_choice_click_next type:%s, device_id:%s, tag_ids:%s" % (
raw_val_dict.get("type", "missing type"), str(device_id), str(tagid_list)))
raw_val_dict.get("type", "missing type"), str(device_id), str(tagid_list)))
# if len(exposure_sql_query_results)>0:
if len(tagid_list) > 0:
tag_query_results = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
tag_query_results = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
id__in=tagid_list, is_online=True, is_deleted=False,
is_category=False).values_list("id",flat =True))
is_click = 1
is_vote = 0
reward = 1 if is_click or is_vote else 0
# 移植老用户的lin信息到ctr特征策略
self.transfer_old_info2ctr_feature_key(device_id)
for tag_id in tag_query_results:
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature,
self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
user_feature_ctr = [device_tag_ctr, device_tag_ctr]
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix)
# 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, user_id,
new_user_click_tag_list=tag_query_results,
linucb_matrix_prefix=self.linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.linucb_recommend_pictorial_id_prefix)
self.update_recommend_tag_list(device_id, user_feature, user_id,
new_user_click_tag_list=tag_query_results,
linucb_matrix_prefix=self.ctr_linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.ctr_linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.ctr_linucb_recommend_pictorial_id_prefix)
is_category=False).values_list("id", flat=True))
is_click = 1
is_vote = 0
reward = 1 if is_click or is_vote else 0
# 移植老用户的lin信息到ctr特征策略
self.transfer_old_info2ctr_feature_key(device_id)
for tag_id in tag_query_results:
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature,
self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
user_feature_ctr = [device_tag_ctr, device_tag_ctr]
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix)
# 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, user_id,
new_user_click_tag_list=tag_query_results,
linucb_matrix_prefix=self.linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.linucb_recommend_pictorial_id_prefix)
self.update_recommend_tag_list(device_id, user_feature, user_id,
new_user_click_tag_list=tag_query_results,
linucb_matrix_prefix=self.ctr_linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.ctr_linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.ctr_linucb_recommend_pictorial_id_prefix)
# 用户点击个性化push进linucb
elif "type" in raw_val_dict and raw_val_dict["type"] == "on_click_push":
# 后端已过滤，该tag_ids是帖子/榜单的编辑标签
......@@ -495,96 +520,102 @@ class CollectData(object):
str(tagid_list)))
# 用户点击问题清单进linucb
elif b'content' in raw_val_dict:
data = json.loads(raw_val_dict[b'content'])
if 'SYS' in data and 'APP' in data and 'action' in data['SYS'] and data['SYS']['action'] == "venus/community/skin_check/submit_questions":
device_id = data['SYS']['cl_id']
tagid_list = list(data['APP'].get('answer_tag', []))
user_id = data['SYS'].get('user_id', None)
logging.info("skin_check topic type:%s, device_id:%s, answer_tag:%s" %
(str(data['SYS']['action']), str(device_id), str(tagid_list)))
if len(tagid_list) > 0:
tag_query_results = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
id__in=tagid_list, is_online=True, is_deleted=False,
is_category=False).values_list("id", flat=True))
tag_query_results_multi = [i for i in tagid_list if i in tag_query_results]
is_click = 1
is_vote = 0
reward = 1 if is_click or is_vote else 0
# 移植老用户的lin信息到ctr特征策略
self.transfer_old_info2ctr_feature_key(device_id)
for i in range(5):
for tag_id in tag_query_results_multi:
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature,
self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
user_feature_ctr = [device_tag_ctr, device_tag_ctr]
self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix)
# 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, user_id,
linucb_matrix_prefix=self.linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.linucb_recommend_pictorial_id_prefix)
self.update_recommend_tag_list(device_id, user_feature, user_id,
linucb_matrix_prefix=self.ctr_linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.ctr_linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.ctr_linucb_recommend_pictorial_id_prefix)
logging.info("skin_check topic type:%s, device_id:%s, tag_query_results:%s" %
(str(data['SYS']['action']), str(device_id), str(tag_query_results_multi)))
# 品牌问卷进linucb
elif 'SYS' in data and 'APP' in data and 'action' in data['SYS'] and data['SYS']['action'] == "venus/community/survey_question/submit":
device_id = data['SYS']['cl_id']
tagid_list = list(data['APP'].get('answer_tag', []))
user_id = data['SYS'].get('user_id', None)
logging.info("survey_question type:%s, device_id:%s, answer_tag:%s" %
(str(data['SYS']['action']), str(device_id), str(tagid_list)))
if len(tagid_list) > 0:
tag_query_results = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
id__in=tagid_list, is_online=True, is_deleted=False,
is_category=False).values_list("id", flat=True))
tag_query_results_multi = [i for i in tagid_list if i in tag_query_results]
is_click = 1
is_vote = 0
reward = 1 if is_click or is_vote else 0
# 移植老用户的lin信息到ctr特征策略
self.transfer_old_info2ctr_feature_key(device_id)
for i in range(5):
for tag_id in tag_query_results_multi:
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature,
self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
user_feature_ctr = [device_tag_ctr, device_tag_ctr]
self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix)
# 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, user_id,
linucb_matrix_prefix=self.linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.linucb_recommend_pictorial_id_prefix)
self.update_recommend_tag_list(device_id, user_feature, user_id,
linucb_matrix_prefix=self.ctr_linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.ctr_linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.ctr_linucb_recommend_pictorial_id_prefix)
logging.info("survey_question type:%s, device_id:%s, tagid_list:%s" %
(str(data['SYS']['action']), str(device_id), str(tag_query_results_multi)))
data = json.loads(raw_val_dict[b'content'])
if 'SYS' in data and 'APP' in data and 'action' in data['SYS'] and data['SYS'][
'action'] == "venus/community/skin_check/submit_questions":
device_id = data['SYS']['cl_id']
tagid_list = list(data['APP'].get('answer_tag', []))
user_id = data['SYS'].get('user_id', None)
logging.info("skin_check topic type:%s, device_id:%s, answer_tag:%s" %
(str(data['SYS']['action']), str(device_id), str(tagid_list)))
if len(tagid_list) > 0:
tag_query_results = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
id__in=tagid_list, is_online=True, is_deleted=False,
is_category=False).values_list("id", flat=True))
tag_query_results_multi = [i for i in tagid_list if i in tag_query_results]
is_click = 1
is_vote = 0
reward = 1 if is_click or is_vote else 0
# 移植老用户的lin信息到ctr特征策略
self.transfer_old_info2ctr_feature_key(device_id)
for i in range(5):
for tag_id in tag_query_results_multi:
self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature,
self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
user_feature_ctr = [device_tag_ctr, device_tag_ctr]
self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix)
# 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, user_id,
linucb_matrix_prefix=self.linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.linucb_recommend_pictorial_id_prefix)
self.update_recommend_tag_list(device_id, user_feature, user_id,
linucb_matrix_prefix=self.ctr_linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.ctr_linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.ctr_linucb_recommend_pictorial_id_prefix)
logging.info("skin_check topic type:%s, device_id:%s, tag_query_results:%s" %
(str(data['SYS']['action']), str(device_id),
str(tag_query_results_multi)))
# 品牌问卷进linucb
elif 'SYS' in data and 'APP' in data and 'action' in data['SYS'] and data['SYS'][
'action'] == "venus/community/survey_question/submit":
device_id = data['SYS']['cl_id']
tagid_list = list(data['APP'].get('answer_tag', []))
user_id = data['SYS'].get('user_id', None)
logging.info("survey_question type:%s, device_id:%s, answer_tag:%s" %
(str(data['SYS']['action']), str(device_id), str(tagid_list)))
if len(tagid_list) > 0:
tag_query_results = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
id__in=tagid_list, is_online=True, is_deleted=False,
is_category=False).values_list("id", flat=True))
tag_query_results_multi = [i for i in tagid_list if i in tag_query_results]
is_click = 1
is_vote = 0
reward = 1 if is_click or is_vote else 0
# 移植老用户的lin信息到ctr特征策略
self.transfer_old_info2ctr_feature_key(device_id)
for i in range(5):
for tag_id in tag_query_results_multi:
self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature,
self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
user_feature_ctr = [device_tag_ctr, device_tag_ctr]
self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix)
# 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, user_id,
linucb_matrix_prefix=self.linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.linucb_recommend_pictorial_id_prefix)
self.update_recommend_tag_list(device_id, user_feature, user_id,
linucb_matrix_prefix=self.ctr_linucb_matrix_redis_prefix,
linucb_recommend_tag_prefix=self.ctr_linucb_recommend_redis_prefix,
linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.ctr_linucb_recommend_pictorial_id_prefix)
logging.info("survey_question type:%s, device_id:%s, tagid_list:%s" %
(str(data['SYS']['action']), str(device_id),
str(tag_query_results_multi)))
else:
if msg:
logging.warning("unknown type msg:%s" % raw_val_dict.get("type", "missing type"))
logging.warning("unknown type msg:%s" % raw_val_dict.get("type", "missing type"))
except:
logging_exception()
logging.error("catch exception,err_msg:%s" % traceback.format_exc())
......
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