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钟尚武
physical
Commits
156448d4
Commit
156448d4
authored
Sep 05, 2019
by
段英荣
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Merge branch '2.3_relaces' into 'master'
客户端debug See merge request
alpha/physical!463
parents
6e9ee2c5
c042674c
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Showing
4 changed files
with
467 additions
and
45 deletions
+467
-45
collect_data.py
linucb/views/collect_data.py
+73
-7
linucb.py
linucb/views/linucb.py
+2
-0
topic.py
search/utils/topic.py
+80
-5
topic.py
search/views/topic.py
+312
-33
No files found.
linucb/views/collect_data.py
View file @
156448d4
...
...
@@ -18,6 +18,18 @@ from trans2es.models.pictorial import CommunityPictorialHomeFeed
from
libs.error
import
logging_exception
import
os
from
search.views.tag
import
get_same_tagset_ids
import
msgpack
def
loads_data
(
data
):
try
:
result
=
json
.
loads
(
data
)
msg
=
True
return
result
,
msg
except
:
result
=
msgpack
.
loads
(
data
)
msg
=
False
return
result
,
msg
class
KafkaManager
(
object
):
...
...
@@ -28,8 +40,9 @@ class KafkaManager(object):
if
not
cls
.
consumser_obj
:
topic_name
=
settings
.
KAFKA_TOPIC_NAME
if
not
topic_name
else
topic_name
cls
.
consumser_obj
=
KafkaConsumer
(
topic_name
,
bootstrap_servers
=
settings
.
KAFKA_BROKER_LIST
)
# cls.consumser_obj.subscribe([topic_name])
gm_logging_name
=
settings
.
KAFKA_GM_LOGGING_TOPIC_NAME
cls
.
consumser_obj
=
KafkaConsumer
(
bootstrap_servers
=
settings
.
KAFKA_BROKER_LIST
)
cls
.
consumser_obj
.
subscribe
([
topic_name
,
gm_logging_name
])
return
cls
.
consumser_obj
...
...
@@ -41,6 +54,7 @@ class CollectData(object):
self
.
linucb_recommend_redis_prefix
=
"physical:linucb:tag_recommend:device_id:"
#推荐帖子
self
.
linucb_recommend_topic_id_prefix
=
"physical:linucb:topic_recommend:device_id:"
# 推荐榜单
self
.
linucb_recommend_pictorial_id_prefix
=
"physical:linucb:pictorial_recommend:device_id:"
self
.
tag_topic_id_redis_prefix
=
"physical:tag_id:topic_id_list:"
self
.
click_recommend_redis_key_prefix
=
"physical:click_recommend:device_id:"
...
...
@@ -176,13 +190,11 @@ class CollectData(object):
consume_msg
=
msg_dict
[
msg_key
]
for
ori_msg
in
consume_msg
:
try
:
logging
.
info
(
ori_msg
)
raw_val_dict
=
json
.
loads
(
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"
)):
click_topic_tag_list
=
list
()
if
"on_click_feed_topic_card"
==
raw_val_dict
[
"type"
]:
topic_id
=
raw_val_dict
[
"params"
][
"topic_id"
]
...
...
@@ -318,6 +330,60 @@ class CollectData(object):
new_user_click_tag_list
=
tag_query_results
)
else
:
logging
.
warning
(
"unknown type msg:
%
s"
%
raw_val_dict
.
get
(
"type"
,
"missing type"
))
# 用户点击个性化push进linucb
elif
"type"
in
raw_val_dict
and
raw_val_dict
[
"type"
]
==
"on_click_push"
:
if
isinstance
(
raw_val_dict
[
"params"
][
"tag_ids"
],
str
):
tagid_list
=
json
.
loads
(
raw_val_dict
[
"params"
][
"tag_ids"
])
elif
isinstance
(
raw_val_dict
[
"params"
][
"tag_ids"
],
list
):
tagid_list
=
raw_val_dict
[
"params"
][
"tag_ids"
]
else
:
tagid_list
=
list
()
device_id
=
raw_val_dict
[
"device"
][
"device_id"
]
user_id
=
raw_val_dict
[
"user_id"
]
if
"user_id"
in
raw_val_dict
else
None
if
len
(
tagid_list
)
>
0
:
tag_query_results
=
Tag
.
objects
.
using
(
settings
.
SLAVE_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
for
tag_id
in
tag_query_results
:
self
.
update_user_linucb_tag_info
(
reward
,
device_id
,
tag_id
,
user_feature
)
self
.
update_recommend_tag_list
(
device_id
,
user_feature
,
user_id
,
new_user_click_tag_list
=
tag_query_results
)
logging
.
info
(
"on_click_push topic type:
%
s, device_id:
%
s, answer_tag:
%
s"
%
(
raw_val_dict
.
get
(
"type"
,
"missing type"
),
str
(
device_id
),
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'
][
'answer_tag'
])
or
[]
user_id
=
data
[
'SYS'
][
'user_id'
]
or
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
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
)
# 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
)
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
)))
else
:
if
msg
:
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
())
...
...
linucb/views/linucb.py
View file @
156448d4
...
...
@@ -165,6 +165,8 @@ class LinUCB:
}
redis_cli
.
hset
(
redis_key
,
tag_id
,
pickle
.
dumps
(
user_tag_dict
))
else
:
logging
.
warning
(
"not standard linucb reward"
)
return
True
except
:
logging_exception
()
...
...
search/utils/topic.py
View file @
156448d4
...
...
@@ -124,7 +124,7 @@ class TopicUtils(object):
query_type
=
TopicPageType
.
HOME_RECOMMEND
,
filter_topic_id_list
=
[],
test_score
=
False
,
must_topic_id_list
=
[],
recommend_tag_list
=
[],
user_similar_score_list
=
[],
index_type
=
"topic"
,
routing
=
None
,
attention_tag_list
=
[],
linucb_user_id_list
=
[],
disable_collpase
=
False
):
linucb_user_id_list
=
[],
disable_collpase
=
False
,
has_score
=
False
):
"""
:remark:获取首页推荐帖子列表
:param user_id:
...
...
@@ -160,7 +160,7 @@ class TopicUtils(object):
ret_data_list
=
list
()
topic_id_list
=
list
()
topic_score_list
=
list
()
q
[
"query"
]
=
dict
()
functions_list
=
list
()
...
...
@@ -311,6 +311,8 @@ class TopicUtils(object):
for
item
in
result_dict
[
"hits"
]:
topic_id_list
.
append
(
item
[
"_source"
][
"id"
])
if
has_score
:
topic_score_list
.
append
(
item
[
"_score"
])
else
:
multi_match
=
{
...
...
@@ -431,11 +433,17 @@ class TopicUtils(object):
ret_data_list
.
append
({
"id"
:
item
[
"_source"
][
"id"
],
"highlight"
:
item
.
get
(
"highlight"
,
{})})
topic_id_list
.
append
(
item
[
"_source"
][
"id"
])
return
topic_id_list
,
ret_data_list
if
has_score
:
return
topic_id_list
,
ret_data_list
,
topic_score_list
else
:
return
topic_id_list
,
ret_data_list
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
list
(),
list
()
if
has_score
:
return
list
(),
list
(),
list
()
else
:
return
list
(),
list
()
@classmethod
def
userful_tag_topic_list
(
cls
,
user_id
,
have_read_topic_list
,
size
,
...
...
@@ -520,6 +528,73 @@ class TopicUtils(object):
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
[]
@classmethod
def
get_linucb_topic_info_for_debug
(
cls
,
size
,
index_type
=
"topic-high-star"
,
routing
=
None
,
linucb_topic_list
=
[]):
try
:
es_cli_obj
=
ESPerform
.
get_cli
()
if
len
(
linucb_topic_list
)
==
0
:
return
{}
else
:
q
=
dict
()
q
[
"query"
]
=
{
"bool"
:
{
"must"
:
[
{
"terms"
:
{
"id"
:
linucb_topic_list
}}
]
}
}
q
[
"_source"
]
=
{
"includes"
:
[
"id"
,
"content_level"
,
"edit_tag_list"
]
}
result_dict
=
ESPerform
.
get_search_results
(
es_cli_obj
,
sub_index_name
=
index_type
,
query_body
=
q
,
size
=
size
,
routing
=
routing
)
topic_id_dict
=
dict
()
for
item
in
result_dict
[
"hits"
]:
topic_id_dict
.
update
({
item
[
"_source"
][
"id"
]:{
"content_level"
:
item
[
"_source"
][
"content_level"
],
"edit_tag_list"
:
item
[
"_source"
][
"edit_tag_list"
]}})
return
topic_id_dict
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
[]
@classmethod
def
get_linucb_pictorial_info_for_debug
(
cls
,
size
,
linucb_pictorial_list
=
[]):
try
:
q
=
{
"query"
:
{
"function_score"
:
{
"query"
:
{
"bool"
:
{
"must"
:
[
{
"terms"
:
{
"id"
:
linucb_pictorial_list
}}
]
}
},
"boost_mode"
:
"sum"
,
"score_mode"
:
"sum"
,
}
},
"_source"
:
{
"include"
:
[
"id"
,
"edit_tag_list"
]
}
}
result_dict
=
ESPerform
.
get_search_results
(
ESPerform
.
get_cli
(),
sub_index_name
=
"pictorial"
,
query_body
=
q
,
offset
=
0
,
size
=
size
)
pictorial_id_dict
=
dict
()
for
item
in
result_dict
[
"hits"
]:
pictorial_id_dict
.
update
({
item
[
"_source"
][
"id"
]:
{
"edit_tag_list"
:
item
[
"_source"
][
"edit_tag_list"
]}})
return
pictorial_id_dict
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
list
()
@classmethod
def
get_topic_detail_recommend_list
(
cls
,
user_id
,
topic_id
,
topic_tag_list
,
topic_pictorial_id
,
topic_user_id
,
filter_topic_user_id
,
have_read_topic_list
,
offset
,
size
,
es_cli_obj
=
None
,
...
...
search/views/topic.py
View file @
156448d4
...
...
@@ -17,6 +17,8 @@ from libs.tools import get_have_read_lin_pictorial_id_list
import
datetime
from
trans2es.models.tag
import
Tag
from
search.views.tag
import
get_same_tagset_ids
from
linucb.views.collect_data
import
CollectData
from
linucb.views.linucb
import
LinUCB
def
get_discover_page_topic_ids
(
user_id
,
device_id
,
size
,
query_type
=
TopicPageType
.
FIND_PAGE
):
...
...
@@ -54,7 +56,7 @@ def get_discover_page_topic_ids(user_id, device_id, size, query_type=TopicPageTy
def
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
,
offset
,
size
,
query
=
None
,
query_type
=
TopicPageType
.
HOME_RECOMMEND
,
promote_topic_list
=
[],
disable_collpase
=
False
,
usefulrecall
=-
1
,
useful_tag_list
=
[]):
usefulrecall
=-
1
,
useful_tag_list
=
[]
,
has_score
=
False
):
try
:
topic_star_routing
=
"6"
index_type
=
"topic-high-star"
...
...
@@ -166,17 +168,32 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
# have_read_topic_id_list_add_promote.append(topic_id)
rank_topic_id_list
=
list
()
ret_data_list
=
list
()
rank_topic_score
=
list
()
if
size
>
0
:
rank_topic_id_list
,
ret_data_list
=
TopicUtils
.
get_recommend_topic_ids
(
user_id
=
user_id
,
tag_id
=
tag_id
,
offset
=
0
,
size
=
size
,
single_size
=
size
,
query
=
query
,
query_type
=
query_type
,
filter_topic_id_list
=
have_read_topic_id_list
,
index_type
=
index_type
,
routing
=
topic_star_routing
,
attention_tag_list
=
attention_tag_list
,
linucb_user_id_list
=
recommend_topic_user_list
,
disable_collpase
=
disable_collpase
)
if
has_score
:
rank_topic_id_list
,
ret_data_list
,
rank_topic_score
=
TopicUtils
.
get_recommend_topic_ids
(
user_id
=
user_id
,
tag_id
=
tag_id
,
offset
=
0
,
size
=
size
,
single_size
=
size
,
query
=
query
,
query_type
=
query_type
,
filter_topic_id_list
=
have_read_topic_id_list
,
index_type
=
index_type
,
routing
=
topic_star_routing
,
attention_tag_list
=
attention_tag_list
,
linucb_user_id_list
=
recommend_topic_user_list
,
disable_collpase
=
disable_collpase
,
has_score
=
has_score
)
else
:
rank_topic_id_list
,
ret_data_list
=
TopicUtils
.
get_recommend_topic_ids
(
user_id
=
user_id
,
tag_id
=
tag_id
,
offset
=
0
,
size
=
size
,
single_size
=
size
,
query
=
query
,
query_type
=
query_type
,
filter_topic_id_list
=
have_read_topic_id_list
,
index_type
=
index_type
,
routing
=
topic_star_routing
,
attention_tag_list
=
attention_tag_list
,
linucb_user_id_list
=
recommend_topic_user_list
,
disable_collpase
=
disable_collpase
)
# if len(recommend_topic_list) == 6 and query is None:
# if (size < 11):
...
...
@@ -211,15 +228,27 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
ret_list
=
rank_topic_id_list
if
query
is
None
else
ret_data_list
if
usefulrecall
!=
-
1
:
return
recommend_topic_list
,
ret_list
,
useful_topic_id_list
if
has_score
:
return
recommend_topic_list
,
ret_list
,
useful_topic_id_list
,
rank_topic_score
else
:
return
recommend_topic_list
,
ret_list
,
useful_topic_id_list
else
:
return
recommend_topic_list
,
ret_list
if
has_score
:
return
recommend_topic_list
,
ret_list
,
rank_topic_score
else
:
return
recommend_topic_list
,
ret_list
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
if
usefulrecall
!=
-
1
:
return
[],
[],
[]
if
has_score
:
return
[],
[],
[],
[]
else
:
return
[],
[],
[]
else
:
return
[],
[]
if
has_score
:
return
[],
[],
[]
else
:
return
[],
[]
def
get_home_recommend_pictorial_ids
(
user_id
=-
1
,
device_id
=
""
,
size
=
4
):
...
...
@@ -258,6 +287,74 @@ def get_home_recommend_pictorial_ids(user_id=-1, device_id="", size=4):
return
[]
def
get_topic_and_pictorial_detail_for_debug
(
device_id
=
""
,
linucb_topic_id_list
=
[],
rank_topic_id_list
=
[],
linucb_pictorial_id_list
=
[],
rank_topic_score
=
[]):
try
:
linucb_tag_dict
=
get_device_linucb_tag
(
device_id
,
size
=
20
,
has_score
=
True
)
linucb_topic_results
=
dict
()
linucb_pictorial_results
=
dict
()
rank_topic_results
=
dict
()
if
len
(
linucb_topic_id_list
)
>
0
:
linucb_topic_dict
=
TopicUtils
.
get_linucb_topic_info_for_debug
(
len
(
linucb_topic_id_list
),
linucb_topic_list
=
linucb_topic_id_list
)
linucb_topic_results
=
dict
()
if
len
(
linucb_topic_dict
)
>
0
:
# num = 1
for
topic_id
in
linucb_topic_id_list
:
topic_id
=
topic_id
edit_tag_List
=
linucb_topic_dict
[
topic_id
][
'edit_tag_list'
]
content_level
=
linucb_topic_dict
[
topic_id
][
'content_level'
]
edit_tag_name_score_list
=
list
()
for
edit_tag
in
edit_tag_List
:
edit_tag_List_dict
=
get_edit_tag_name
(
edit_tag_List
)
if
edit_tag
in
linucb_tag_dict
:
edit_tag_name_score_list
.
append
(
{
"id"
:
edit_tag
,
"score"
:
linucb_tag_dict
[
edit_tag
][
"score"
],
"name"
:
linucb_tag_dict
[
edit_tag
][
"name"
]})
else
:
edit_tag_name_score_list
.
append
({
"id"
:
edit_tag
,
"score"
:
0
,
"name"
:
edit_tag_List_dict
[
edit_tag
]})
linucb_topic_results
.
update
({
str
(
topic_id
):{
"id"
:
topic_id
,
"content_level"
:
content_level
,
"edit_tags"
:
edit_tag_name_score_list
}})
logging
.
info
(
"linucb_topic:{}"
.
format
(
linucb_topic_results
))
# num += 1
if
len
(
rank_topic_id_list
)
>
0
:
rank_topic_dict
=
TopicUtils
.
get_linucb_topic_info_for_debug
(
len
(
rank_topic_id_list
),
linucb_topic_list
=
rank_topic_id_list
)
rank_topic_results
=
dict
()
if
len
(
rank_topic_dict
)
>
0
:
# num = 1
for
i
in
range
(
len
(
rank_topic_id_list
)):
topic_id
=
rank_topic_id_list
[
i
]
score
=
rank_topic_score
[
i
]
rank_topic_results
.
update
({
str
(
topic_id
):
{
"id"
:
topic_id
,
"rank"
:
score
}})
# num += 1
logging
.
info
(
"rank_topic:{}"
.
format
(
rank_topic_results
))
if
len
(
linucb_pictorial_id_list
)
>
0
:
if
len
(
linucb_pictorial_id_list
)
>
0
:
linucb_pictorial_dict
=
TopicUtils
.
get_linucb_pictorial_info_for_debug
(
len
(
linucb_pictorial_id_list
),
linucb_pictorial_list
=
linucb_pictorial_id_list
)
linucb_pictorial_results
=
dict
()
if
len
(
linucb_pictorial_dict
)
>
0
:
# num = 1
for
pictorial_id
in
linucb_pictorial_id_list
:
pictorial_id
=
pictorial_id
edit_tag_List
=
linucb_pictorial_dict
[
pictorial_id
][
'edit_tag_list'
]
edit_tag_name_score_list
=
list
()
for
edit_tag
in
edit_tag_List
:
edit_tag_List_dict
=
get_edit_tag_name
(
edit_tag_List
)
if
edit_tag
in
linucb_tag_dict
:
edit_tag_name_score_list
.
append
(
{
"id"
:
edit_tag
,
"score"
:
linucb_tag_dict
[
edit_tag
][
"score"
],
"name"
:
linucb_tag_dict
[
edit_tag
][
"name"
]})
else
:
edit_tag_name_score_list
.
append
({
"id"
:
edit_tag
,
"score"
:
0
,
"name"
:
edit_tag_List_dict
[
edit_tag
]})
linucb_pictorial_results
.
update
({
str
(
pictorial_id
):
{
"id"
:
pictorial_id
,
"edit_tags"
:
edit_tag_name_score_list
}})
logging
.
info
(
"linucb_pictorial:{}"
.
format
(
linucb_pictorial_results
))
# num += 1
logging
.
info
(
"get_topic_and_pictorial_detail_for_debug:result:{}"
.
format
({
"linucb_topic"
:
linucb_topic_results
,
"rank_topic"
:
rank_topic_results
,
"linucb_pictorial"
:
linucb_pictorial_results
}))
return
{
"linucb_topic"
:
linucb_topic_results
,
"rank_topic"
:
rank_topic_results
,
"linucb_pictorial"
:
linucb_pictorial_results
}
except
:
return
{
"linucb_topic"
:{},
"rank_topic"
:{},
"linucb_pictorial"
:{}}
@bind
(
"physical/search/query_tag_id_by_topic"
)
def
query_tag_id_by_topic
(
offset
=
0
,
size
=
10
,
topic_id_list
=
[],
user_id
=-
1
):
try
:
...
...
@@ -269,7 +366,7 @@ def query_tag_id_by_topic(offset=0, size=10, topic_id_list=[], user_id=-1):
@bind
(
"physical/search/home_recommend"
)
def
home_recommend
(
device_id
=
""
,
user_id
=-
1
,
offset
=
0
,
size
=
10
,
query_type
=
TopicPageType
.
HOME_RECOMMEND
,
promote_topic_list
=
[],
usefulrecall
=-
1
,
useful_tag_list
=
[]):
promote_topic_list
=
[],
usefulrecall
=-
1
,
useful_tag_list
=
[]
,
is_debug
=
False
):
"""
:remark:首页推荐,目前只推荐日记
:param session_id:
...
...
@@ -288,6 +385,7 @@ def home_recommend(device_id="", user_id=-1, offset=0, size=10, query_type=Topic
recommend_pictorial_ids
=
list
()
rank_topic_ids
=
list
()
useful_topic_ids
=
list
()
rank_topic_score
=
list
()
es_node_load_high_flag
=
False
# try:
# es_node_load_high_flag = ESPerform.if_es_node_load_high(ESPerform.get_cli())
...
...
@@ -311,31 +409,75 @@ def home_recommend(device_id="", user_id=-1, offset=0, size=10, query_type=Topic
if
usefulrecall
!=
-
1
and
len
(
useful_tag_list
)
>
0
:
recommend_pictorial_ids
=
get_home_recommend_pictorial_ids
(
user_id
,
device_id
,
4
)
size
=
size
-
len
(
recommend_pictorial_ids
)
recommend_topic_ids
,
rank_topic_ids
,
useful_topic_ids
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
=
0
,
offset
=
0
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
,
usefulrecall
=
usefulrecall
,
useful_tag_list
=
useful_tag_list
)
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
,
"useful_topic_ids"
:
useful_topic_ids
,
"linucb_pictorial_ids"
:
recommend_pictorial_ids
}
if
is_debug
:
has_score
=
True
recommend_topic_ids
,
rank_topic_ids
,
useful_topic_ids
,
rank_topic_score
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
=
0
,
offset
=
0
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
,
usefulrecall
=
usefulrecall
,
useful_tag_list
=
useful_tag_list
,
has_score
=
has_score
)
else
:
has_score
=
False
recommend_topic_ids
,
rank_topic_ids
,
useful_topic_ids
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
=
0
,
offset
=
0
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
,
usefulrecall
=
usefulrecall
,
useful_tag_list
=
useful_tag_list
,
has_score
=
has_score
)
if
not
is_debug
:
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
,
"useful_topic_ids"
:
useful_topic_ids
,
"linucb_pictorial_ids"
:
recommend_pictorial_ids
}
else
:
results
=
get_topic_and_pictorial_detail_for_debug
(
device_id
,
recommend_topic_ids
,
rank_topic_ids
,
recommend_pictorial_ids
,
rank_topic_score
)
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
,
"useful_topic_ids"
:
useful_topic_ids
,
"linucb_pictorial_ids"
:
recommend_pictorial_ids
,
"debug_model_data"
:
results
}
else
:
recommend_pictorial_ids
=
get_home_recommend_pictorial_ids
(
user_id
,
device_id
,
4
)
size
=
size
-
len
(
recommend_pictorial_ids
)
recommend_topic_ids
,
rank_topic_ids
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
=
0
,
offset
=
0
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
)
if
is_debug
:
has_score
=
True
recommend_topic_ids
,
rank_topic_ids
,
rank_topic_score
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
=
0
,
offset
=
0
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
,
has_score
=
has_score
)
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
,
"linucb_pictorial_ids"
:
recommend_pictorial_ids
}
else
:
has_score
=
False
recommend_topic_ids
,
rank_topic_ids
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
=
0
,
offset
=
0
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
,
has_score
=
has_score
)
if
not
is_debug
:
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
,
"linucb_pictorial_ids"
:
recommend_pictorial_ids
}
else
:
results
=
get_topic_and_pictorial_detail_for_debug
(
device_id
,
recommend_topic_ids
,
rank_topic_ids
,
recommend_pictorial_ids
,
rank_topic_score
)
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
,
"linucb_pictorial_ids"
:
recommend_pictorial_ids
,
"debug_model_data"
:
results
}
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
if
usefulrecall
!=
-
1
:
return
{
"linucb_topic_ids"
:
[],
"rank_topic_ids"
:
[],
"useful_topic_ids"
:
[],
"linucb_pictorial_ids"
:
[]
}
return
{
"linucb_topic_ids"
:
[],
"rank_topic_ids"
:
[],
"useful_topic_ids"
:
[],
"linucb_pictorial_ids"
:
[],
"debug_model_data"
:
{}
}
else
:
return
{
"linucb_topic_ids"
:
[],
"rank_topic_ids"
:
[],
"linucb_pictorial_ids"
:
[]}
return
{
"linucb_topic_ids"
:
[],
"rank_topic_ids"
:
[],
"linucb_pictorial_ids"
:
[]
,
"debug_model_data"
:
{}
}
@bind
(
"physical/search/discover_page"
)
...
...
@@ -608,3 +750,140 @@ def query_topic_by_user_similarity(topic_similarity_score_dict, offset=0, size=1
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
{
"recommend_topic_id"
:
[]}
@bind
(
"physical/search/clear_history_for_debug"
)
def
clear_history
(
device_id
=
None
,
user_id
=-
1
):
try
:
msg
=
list
()
redis_key_list
=
list
()
if
device_id
:
redis_key_list
.
extend
((
'physical:linucb:device_id:
%
s'
,
'physical:home_recommend:device_id:
%
s:query_type:1'
,
'physical:linucb:topic_recommend:device_id:
%
s'
,
'physical:linucb:pictorial_recommend:device_id:
%
s'
,
'physical:home_pictorial_recommend:device_id:
%
s:query_type:1'
))
for
redis_key
in
redis_key_list
:
key
=
redis_key
%
device_id
if
redis_client
.
type
(
key
)
!=
"b'none'"
:
redis_client
.
delete
(
key
)
msg
.
append
(
'device_id_clear'
)
if
user_id
!=
-
1
:
redis_user_key_list
=
[
"physical:home_recommend:user_id:
%
s:query_type:1"
,
'physical:home_pictorial_recommend:user_id:
%
s:query_type:1'
]
for
redis_key
in
redis_user_key_list
:
key
=
redis_key
%
user_id
if
redis_client
.
type
(
key
)
!=
"b'none'"
:
redis_client
.
delete
(
key
)
msg
.
append
(
'user_id_clear'
)
logging
.
info
(
"physical/search/clear_history_for_debug:done:device_id:{}"
.
format
(
device_id
))
return
msg
except
:
return
[
'fail'
]
@bind
(
"physical/search/home_recommend_debug"
)
def
home_recommend_debug
(
device_id
=
""
,
user_id
=-
1
,
recommend_topic_ids
=
[],
rank_topic_ids
=
[],
recommend_pictorial_ids
=
[]):
"""
:remark:首页推荐,目前只推荐日记
:param session_id:
:param user_id:
:param offset:
:param size:
:return:
"""
try
:
if
device_id
:
results
=
get_topic_and_pictorial_detail_for_debug
(
device_id
,
recommend_topic_ids
,
rank_topic_ids
,
recommend_pictorial_ids
)
return
results
else
:
return
{}
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
{}
def
get_device_linucb_tag
(
device_id
=
None
,
size
=
20
,
has_score
=
False
):
# {
# "lincub": [{"id": 1, "name": 名字}, {"id": 2, "name": 名字}, {"id": 3, "name": 名字}, {"id": 5, "name": 名字},
# {"id": 6, "name": 名字}, ]
# }
try
:
user_feature
=
[
1
,
1
]
if
device_id
:
linucb_matrix_redis_prefix
=
"physical:linucb:device_id:"
redis_key
=
linucb_matrix_redis_prefix
+
str
(
device_id
)
redis_linucb_tag_data_dict
=
redis_client
.
hgetall
(
redis_key
)
if
len
(
redis_linucb_tag_data_dict
)
==
0
:
return
{
"linucb"
:
[]}
else
:
(
recommend_tag_dict
,
recommend_tag_set
)
=
LinUCB
.
linucb_recommend_tag
(
device_id
,
redis_linucb_tag_data_dict
,
user_feature
,
list
(
redis_linucb_tag_data_dict
.
keys
()))
recommend_tag_list
=
list
(
recommend_tag_dict
.
keys
())
linucb_tag_dict_list
=
list
()
linucb_tag_dict
=
dict
()
part_recommend_tag_list
=
recommend_tag_list
[
0
:
size
]
tag_query_results
=
Tag
.
objects
.
using
(
settings
.
SLAVE_DB_NAME
)
.
filter
(
id__in
=
part_recommend_tag_list
,
is_online
=
True
,
is_deleted
=
False
)
.
values_list
(
"id"
,
"name"
)
if
has_score
:
for
id
,
name
in
tag_query_results
:
linucb_tag_dict
.
update
({
id
:
{
"name"
:
name
,
"score"
:
recommend_tag_dict
[
str
(
id
)]}})
return
linucb_tag_dict
else
:
for
id
,
name
in
tag_query_results
:
linucb_tag_dict_list
.
append
({
"id"
:
id
,
"name"
:
name
})
return
linucb_tag_dict_list
else
:
return
{
"linucb"
:[]}
except
:
return
{
"linucb"
:
[]}
def
get_edit_tag_name
(
tag_lst
):
try
:
tag_query_results
=
Tag
.
objects
.
using
(
settings
.
SLAVE_DB_NAME
)
.
filter
(
id__in
=
tag_lst
,
is_online
=
True
,
is_deleted
=
False
)
.
values_list
(
"id"
,
"name"
)
tag_dict
=
dict
()
for
id
,
name
in
tag_query_results
:
tag_dict
.
update
({
id
:
name
})
return
tag_dict
except
:
return
dict
()
@bind
(
"physical/search/device_linucb_tag_debug"
)
def
get_device_linucb_tag2
(
device_id
=
None
,
size
=
20
,
has_score
=
False
):
# {
# "lincub": [{"id": 1, "name": 名字}, {"id": 2, "name": 名字}, {"id": 3, "name": 名字}, {"id": 5, "name": 名字},
# {"id": 6, "name": 名字}, ]
# }
try
:
user_feature
=
[
1
,
1
]
if
device_id
:
linucb_matrix_redis_prefix
=
"physical:linucb:device_id:"
redis_key
=
linucb_matrix_redis_prefix
+
str
(
device_id
)
redis_linucb_tag_data_dict
=
redis_client
.
hgetall
(
redis_key
)
if
len
(
redis_linucb_tag_data_dict
)
==
0
:
return
{
"linucb"
:
[]}
else
:
(
recommend_tag_dict
,
recommend_tag_set
)
=
LinUCB
.
linucb_recommend_tag
(
device_id
,
redis_linucb_tag_data_dict
,
user_feature
,
list
(
redis_linucb_tag_data_dict
.
keys
()))
recommend_tag_list
=
list
(
recommend_tag_dict
.
keys
())
linucb_tag_dict_list
=
list
()
linucb_tag_dict
=
dict
()
part_recommend_tag_list
=
recommend_tag_list
[
0
:
size
]
tag_query_results
=
Tag
.
objects
.
using
(
settings
.
SLAVE_DB_NAME
)
.
filter
(
id__in
=
part_recommend_tag_list
,
is_online
=
True
,
is_deleted
=
False
)
.
values_list
(
"id"
,
"name"
)
if
has_score
:
result_lst
=
[]
for
id
,
name
in
tag_query_results
:
result_lst
.
append
({
"name"
:
name
,
"score"
:
recommend_tag_dict
[
str
(
id
)]})
linucb_tag_dict
=
{
"linucb"
:
result_lst
}
logging
.
info
(
"physical/search/device_linucb_tag_debug:
%
s"
%
str
(
linucb_tag_dict
))
return
linucb_tag_dict
else
:
for
id
,
name
in
tag_query_results
:
linucb_tag_dict_list
.
append
({
"id"
:
id
,
"name"
:
name
})
return
linucb_tag_dict_list
else
:
return
{
"linucb"
:[]}
except
:
return
{
"linucb"
:
[]}
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