Commit 1ea19ffd authored by 赵威's avatar 赵威

Merge branch 'master' into offic

parents aa22891a ab172f78
...@@ -7,7 +7,7 @@ from libs.cache import redis_client ...@@ -7,7 +7,7 @@ from libs.cache import redis_client
import logging import logging
from linucb.views.linucb import LinUCB from linucb.views.linucb import LinUCB
import json import json
from trans2es.models.tag import TopicTag,Tag from trans2es.models.tag import TopicTag, Tag
from trans2es.models.topic import TopicHomeRecommend from trans2es.models.topic import TopicHomeRecommend
import traceback import traceback
from django.conf import settings from django.conf import settings
...@@ -26,11 +26,11 @@ def loads_data(data): ...@@ -26,11 +26,11 @@ def loads_data(data):
try: try:
result = json.loads(data) result = json.loads(data)
msg = True msg = True
return result,msg return result, msg
except: except:
result = msgpack.loads(data) result = msgpack.loads(data)
msg = False msg = False
return result,msg return result, msg
class KafkaManager(object): class KafkaManager(object):
...@@ -38,7 +38,6 @@ class KafkaManager(object): ...@@ -38,7 +38,6 @@ class KafkaManager(object):
@classmethod @classmethod
def get_kafka_consumer_ins(cls, topic_name=None): def get_kafka_consumer_ins(cls, topic_name=None):
if not cls.consumser_obj: if not cls.consumser_obj:
topic_name = settings.KAFKA_TOPIC_NAME if not topic_name else topic_name topic_name = settings.KAFKA_TOPIC_NAME if not topic_name else topic_name
gm_logging_name = settings.KAFKA_GM_LOGGING_TOPIC_NAME gm_logging_name = settings.KAFKA_GM_LOGGING_TOPIC_NAME
...@@ -47,6 +46,7 @@ class KafkaManager(object): ...@@ -47,6 +46,7 @@ class KafkaManager(object):
return cls.consumser_obj return cls.consumser_obj
class CollectData(object): class CollectData(object):
def __init__(self): def __init__(self):
...@@ -68,7 +68,6 @@ class CollectData(object): ...@@ -68,7 +68,6 @@ class CollectData(object):
# 默认 # 默认
self.user_feature = [0, 1] self.user_feature = [0, 1]
def _get_user_linucb_info(self, device_id, linucb_matrix_prefix): def _get_user_linucb_info(self, device_id, linucb_matrix_prefix):
try: try:
redis_key = linucb_matrix_prefix + str(device_id) redis_key = linucb_matrix_prefix + str(device_id)
...@@ -83,7 +82,8 @@ class CollectData(object): ...@@ -83,7 +82,8 @@ class CollectData(object):
return dict() return dict()
def update_recommend_tag_list(self, device_id, user_feature=None, user_id=None, click_topic_tag_list=None, 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): linucb_topic_ids_prefix=None, linucb_pictorial_ids_prefix=None):
try: try:
redis_linucb_tag_data_dict = self._get_user_linucb_info(device_id, linucb_matrix_prefix) redis_linucb_tag_data_dict = self._get_user_linucb_info(device_id, linucb_matrix_prefix)
...@@ -101,13 +101,16 @@ class CollectData(object): ...@@ -101,13 +101,16 @@ class CollectData(object):
if len(recommend_tag_list) > 0: if len(recommend_tag_list) > 0:
tag_recommend_redis_key = linucb_recommend_tag_prefix + str(device_id) 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.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, have_read_lin_pictorial_id_list = Tools.get_have_read_lin_pictorial_id_list(device_id, user_id,
TopicPageType.HOME_RECOMMEND) 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_recommend_topic_id_list = TopicHomeRecommend.objects.using(settings.SLAVE1_DB_NAME).filter(
promote_lin_pictorial_id_list = CommunityPictorialHomeFeed.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) 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_topic_id_list.extend(promote_recommend_topic_id_list)
have_read_lin_pictorial_id_list.extend(promote_lin_pictorial_id_list) have_read_lin_pictorial_id_list.extend(promote_lin_pictorial_id_list)
...@@ -118,10 +121,11 @@ class CollectData(object): ...@@ -118,10 +121,11 @@ class CollectData(object):
recommend_topic_id_list_click_dict = dict() recommend_topic_id_list_click_dict = dict()
recommend_lin_pictorial_id_list = list() 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) 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, recommend_topic_id_list_click, recommend_topic_id_list_click_dict = ESPerform.get_tag_topic_list_dict(
have_read_topic_id_list,size=2) click_topic_tag_list_same_tagset_ids,
have_read_topic_id_list, size=2)
if len(recommend_topic_id_list_click) > 0: if len(recommend_topic_id_list_click) > 0:
recommend_topic_id_list.extend(recommend_topic_id_list_click) recommend_topic_id_list.extend(recommend_topic_id_list_click)
recommend_topic_id_list_dict.update(recommend_topic_id_list_click_dict) recommend_topic_id_list_dict.update(recommend_topic_id_list_click_dict)
...@@ -145,29 +149,31 @@ class CollectData(object): ...@@ -145,29 +149,31 @@ class CollectData(object):
# b"data"] else [] # b"data"] else []
# cursor = int(str(redis_topic_data_dict[b"cursor"], encoding="utf-8")) # 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: # 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]) # have_read_topic_id_list.extend(redis_topic_list[:2])
if len(new_user_click_tag_list)>0: 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) 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) tag_topic_id_list, tag_topic_dict = ESPerform.get_tag_topic_list_dict(
recommend_lin_pictorial_id_list = ESPerform.get_tag_pictorial_id_list(new_user_click_tag_list_same_tagset_ids, 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) have_read_lin_pictorial_id_list)
else: else:
tag_id_list_same_tagset_ids = get_same_tagset_ids(tag_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) 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, recommend_lin_pictorial_id_list = ESPerform.get_tag_pictorial_id_list(tag_id_list_same_tagset_ids,
have_read_lin_pictorial_id_list) 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_id_list = recommend_topic_id_list + tag_topic_id_list
tag_topic_dict.update(recommend_topic_id_list_dict) tag_topic_dict.update(recommend_topic_id_list_dict)
redis_data_dict = { redis_data_dict = {
"data": json.dumps(tag_topic_id_list), "data": json.dumps(tag_topic_id_list),
"datadict":json.dumps(tag_topic_dict), "datadict": json.dumps(tag_topic_dict),
"cursor":0 "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: if len(recommend_lin_pictorial_id_list) > 0:
pictorial_data_dict = { pictorial_data_dict = {
"data": json.dumps(recommend_lin_pictorial_id_list), "data": json.dumps(recommend_lin_pictorial_id_list),
...@@ -184,19 +190,19 @@ class CollectData(object): ...@@ -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): def update_user_linucb_tag_info(self, reward, device_id, tag_id, user_feature, linucb_matrix_redis_prefix):
try: try:
user_feature = user_feature if user_feature else self.user_feature 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: except:
logging_exception() logging_exception()
logging.error("update_user_linucb_tag_info error!") logging.error("update_user_linucb_tag_info error!")
return False return False
def transfer_old_info2ctr_feature_key(self, device_id): def transfer_old_info2ctr_feature_key(self, device_id):
try: try:
# 移植老用户的lin标签参数信息到ctr特征策略 # 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) 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) 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 return True
else: else:
if redis_client.exists(linucb_matrix_redis_prefix_key): if redis_client.exists(linucb_matrix_redis_prefix_key):
...@@ -223,7 +229,7 @@ class CollectData(object): ...@@ -223,7 +229,7 @@ class CollectData(object):
if redis_client.exists(linucb_recommend_pictorial_id_prefix): if redis_client.exists(linucb_recommend_pictorial_id_prefix):
older_device_info = redis_client.hgetall(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) 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 return True
except: except:
logging_exception() logging_exception()
...@@ -246,7 +252,41 @@ class CollectData(object): ...@@ -246,7 +252,41 @@ class CollectData(object):
logging.error("get_device_tag_ctr error!") logging.error("get_device_tag_ctr error!")
return 0.001 return 0.001
def consume_data_from_kafka(self,topic_name=None): # 用户打标签加分
# 新增四种用户兴趣分行为
# 四种日志均为后端埋点日志
def transfer_update_recommend_tag_list(self, device_id, user_feature, user_id, tag_list, score_loop=1):
if len(tag_list) > 0:
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(score_loop):
for tag_id in 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
self.update_recommend_tag_list(device_id, user_feature, user_id,
click_topic_tag_list=tag_list,
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,
click_topic_tag_list=tag_list,
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)
def consume_data_from_kafka(self, topic_name=None):
try: try:
user_feature = [1, 1] user_feature = [1, 1]
...@@ -257,11 +297,11 @@ class CollectData(object): ...@@ -257,11 +297,11 @@ class CollectData(object):
consume_msg = msg_dict[msg_key] consume_msg = msg_dict[msg_key]
for ori_msg in consume_msg: for ori_msg in consume_msg:
try: try:
raw_val_dict,msg = loads_data(ori_msg.value) raw_val_dict, msg = loads_data(ori_msg.value)
if msg: if msg:
logging.info(ori_msg.value) logging.info(ori_msg.value)
if "type" in raw_val_dict and \ 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")):
click_topic_tag_list = list() click_topic_tag_list = list()
device_id = "" device_id = ""
if "on_click_feed_topic_card" == raw_val_dict["type"]: if "on_click_feed_topic_card" == raw_val_dict["type"]:
...@@ -283,7 +323,8 @@ class CollectData(object): ...@@ -283,7 +323,8 @@ class CollectData(object):
if is_collection: if is_collection:
topic_tag_list.append(tag_id) topic_tag_list.append(tag_id)
tag_query_results = Tag.objects.using(settings.SLAVE1_DB_NAME).filter( 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", id__in=topic_tag_list, is_online=True, is_deleted=False,
is_category=False).values_list("id",
"is_ai") "is_ai")
for id, is_ai in tag_query_results: for id, is_ai in tag_query_results:
click_topic_tag_list.append(id) click_topic_tag_list.append(id)
...@@ -298,13 +339,17 @@ class CollectData(object): ...@@ -298,13 +339,17 @@ class CollectData(object):
tag_name = raw_val_dict["params"]["extra_param"] tag_name = raw_val_dict["params"]["extra_param"]
device_id = raw_val_dict["device"]["device_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 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) click_topic_tag_list.extend(tag_list)
logging.info("query tag attention,positive tag_list,device_id:%s,query_name:%s,tag_list:%s" % ( 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))) str(device_id), tag_name, str(click_topic_tag_list)))
logging.info("click_topic_tag_list:%s" % (str(click_topic_tag_list)))
logging.info("click_topic_tag_list:%s"%(str(click_topic_tag_list)))
is_click = 1 is_click = 1
is_vote = 0 is_vote = 0
...@@ -324,9 +369,8 @@ class CollectData(object): ...@@ -324,9 +369,8 @@ class CollectData(object):
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature_ctr, self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature_ctr,
self.ctr_linucb_matrix_redis_prefix) 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 # 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, self.update_recommend_tag_list(device_id, user_feature, user_id,
click_topic_tag_list=click_topic_tag_list, click_topic_tag_list=click_topic_tag_list,
linucb_matrix_prefix=self.linucb_matrix_redis_prefix, linucb_matrix_prefix=self.linucb_matrix_redis_prefix,
...@@ -392,9 +436,9 @@ class CollectData(object): ...@@ -392,9 +436,9 @@ 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 # # 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) # 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"]: 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"]) 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"] tagid_list = raw_val_dict["params"]["tagid_list"]
else: else:
tagid_list = list() tagid_list = list()
...@@ -408,7 +452,7 @@ class CollectData(object): ...@@ -408,7 +452,7 @@ class CollectData(object):
if len(tagid_list) > 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, id__in=tagid_list, is_online=True, is_deleted=False,
is_category=False).values_list("id",flat =True)) is_category=False).values_list("id", flat=True))
is_click = 1 is_click = 1
is_vote = 0 is_vote = 0
...@@ -491,7 +535,8 @@ class CollectData(object): ...@@ -491,7 +535,8 @@ class CollectData(object):
# 用户点击问题清单进linucb # 用户点击问题清单进linucb
elif b'content' in raw_val_dict: elif b'content' in raw_val_dict:
data = json.loads(raw_val_dict[b'content']) 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": 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'] device_id = data['SYS']['cl_id']
tagid_list = list(data['APP'].get('answer_tag', [])) tagid_list = list(data['APP'].get('answer_tag', []))
user_id = data['SYS'].get('user_id', None) user_id = data['SYS'].get('user_id', None)
...@@ -511,7 +556,8 @@ class CollectData(object): ...@@ -511,7 +556,8 @@ class CollectData(object):
for i in range(5): for i in range(5):
for tag_id in tag_query_results_multi: for tag_id in tag_query_results_multi:
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature, self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature,
self.linucb_matrix_redis_prefix) self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息 # 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id) device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
...@@ -532,9 +578,11 @@ class CollectData(object): ...@@ -532,9 +578,11 @@ class CollectData(object):
linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix, linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.ctr_linucb_recommend_pictorial_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" % 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))) (str(data['SYS']['action']), str(device_id),
str(tag_query_results_multi)))
# 品牌问卷进linucb # 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": 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'] device_id = data['SYS']['cl_id']
tagid_list = list(data['APP'].get('answer_tag', [])) tagid_list = list(data['APP'].get('answer_tag', []))
user_id = data['SYS'].get('user_id', None) user_id = data['SYS'].get('user_id', None)
...@@ -555,7 +603,8 @@ class CollectData(object): ...@@ -555,7 +603,8 @@ class CollectData(object):
for i in range(5): for i in range(5):
for tag_id in tag_query_results_multi: for tag_id in tag_query_results_multi:
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature, self.update_user_linucb_tag_info(reward, device_id, tag_id,
user_feature,
self.linucb_matrix_redis_prefix) self.linucb_matrix_redis_prefix)
# 获取tag的ctr信息 # 获取tag的ctr信息
device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id) device_tag_ctr = self.get_device_tag_ctr(device_id, tag_id)
...@@ -576,16 +625,87 @@ class CollectData(object): ...@@ -576,16 +625,87 @@ class CollectData(object):
linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix, linucb_topic_ids_prefix=self.ctr_linucb_recommend_topic_id_prefix,
linucb_pictorial_ids_prefix=self.ctr_linucb_recommend_pictorial_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" % logging.info("survey_question type:%s, device_id:%s, tagid_list:%s" %
(str(data['SYS']['action']), str(device_id), str(tag_query_results_multi))) (str(data['SYS']['action']), str(device_id),
str(tag_query_results_multi)))
# 首页搜索精准匹配标签关键字进linucb
elif 'SYS' in data and 'APP' in data and 'action' in data['SYS'] and \
"api/v1/cards/topic" in str(data['SYS'].get('action',"")):
logging.info("action=api/v1/cards/topic")
tag_name = data["APP"].get("query", [])
tag_list = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
name=tag_name).values_list("id"))
device_id = data["SYS"]["cl_id"]
user_id = data['SYS'].get('user_id', None)
self.transfer_update_recommend_tag_list(device_id, user_feature, user_id,
tag_list,
5)
logging.info(
"api/v1/cards/topic,device_id:%s,tag_list:%s" % (str(device_id), str(tag_list)))
# (客户端创建回答,后台创建回答或修改回答关联标签关键字进linucb
elif 'SYS' in data and 'APP' in data and 'action' in data['SYS'] and \
("venus/community/topic/create" in str(data['SYS'].get('action',"")) or
"venus/sun/topic/edit" in str(data['SYS'].get('action',""))
):
action=str(data['SYS'].get('action',''))
logging.info("action=%s"%(action))
tag_ids = list(data["APP"].get("tag_ids", []))
tag_list = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
id__in=tag_ids, is_online=True, is_deleted=False,
is_category=False).values_list("id"))
device_id = data["SYS"]["cl_id"]
user_id = data['SYS'].get('user_id', None)
self.transfer_update_recommend_tag_list(device_id, user_feature, user_id,
tag_list,
10)
logging.info("%s,device_id:%s,tag_list:%s" % (action,
str(device_id), str(tag_list)))
# 创建问题关注标签关键字进linucb
elif 'SYS' in data and 'APP' in data and 'action' in data['SYS'] and \
"venus/sun/pictorial/edit" in str(data['SYS'].get('action',"")):
action = str(data['SYS'].get('action', ''))
logging.info("action=%s" % (action))
tag_ids = list(data["APP"].get("tag_ids", []))
tag_list = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
id__in=tag_ids, is_online=True, is_deleted=False,
is_category=False).values_list("id"))
device_id = data["SYS"]["cl_id"]
user_id = data['SYS'].get('user_id', None)
self.transfer_update_recommend_tag_list(device_id, user_feature, user_id,
tag_list,
20)
logging.info("%s,device_id:%s,tag_list:%s" % (action,
str(device_id), str(tag_list)))
# kyc最后一题
elif 'SYS' in data and 'APP' in data and 'action' in data['SYS'] and \
"venus/community/survey_question/record_kyc_last_question" in str(data['SYS'].get('action',"")):
action = str(data['SYS'].get('action', ''))
tag_ids = list(data["APP"].get("tag_ids", []))
logging.info('action:%s,tag_list:%s' % (action, str(tag_ids)))
tag_query_results = list(Tag.objects.using(settings.SLAVE1_DB_NAME).filter(
id__in=tag_ids, is_online=True, is_deleted=False,
is_category=False).values_list("id"))
tag_query_results = [i[0] for i in tag_query_results]
logging.info('action:%s,mysql query taglist:%s' % (action, str(tag_query_results)))
tag_query_results_multi = [i for i in tag_ids if i in tag_query_results]
device_id = data["SYS"]["cl_id"]
user_id = data['SYS'].get('user_id', None)
self.transfer_update_recommend_tag_list(device_id, user_feature, user_id,
tag_query_results_multi,
5)
logging.info("action:%s,device_id:%s,tag_list:%s" % (action,
str(device_id),
str(tag_query_results_multi)))
else: else:
if msg: 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: except:
logging_exception() logging_exception()
logging.error("catch exception,err_msg:%s" % traceback.format_exc()) logging.error("catch exception,err_msg:%s" % traceback.format_exc())
# 假设数据库连接异常,强制退出程序,supervisor重启linub # 假设数据库连接异常,强制退出程序,supervisor重启linub
os._exit(0) os._exit(0)
return True
except: except:
logging_exception() logging_exception()
logging.error("catch exception,err_msg:%s" % traceback.format_exc()) logging.error("catch exception,err_msg:%s" % traceback.format_exc())
......
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