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alpha
physical
Commits
221dce25
Commit
221dce25
authored
Sep 26, 2019
by
段英荣
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Merge branch 'gyz' into 'master'
lin新回答保量,lin旧回答排序(30天内的ctr+点赞率) See merge request
!498
parents
564bccf4
e57109d6
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Showing
3 changed files
with
159 additions
and
27 deletions
+159
-27
es.py
libs/es.py
+69
-0
topic.py
search/views/topic.py
+48
-27
trans2es_data2es_parallel.py
trans2es/management/commands/trans2es_data2es_parallel.py
+42
-0
No files found.
libs/es.py
View file @
221dce25
...
...
@@ -401,6 +401,7 @@ class ESPerform(object):
{
"term"
:
{
"content_level"
:
6
}},
{
"term"
:
{
"is_online"
:
True
}},
{
"term"
:
{
"is_deleted"
:
False
}},
{
"term"
:
{
"is_new_topic"
:
False
}},
{
"terms"
:
{
"tag_list"
:
tag_id
}}
]
}
...
...
@@ -414,6 +415,15 @@ class ESPerform(object):
"include"
:
[
"id"
,
"user_id"
,
"latest_reply_time"
]
},
"sort"
:
[
{
"_script"
:
{
"order"
:
"desc"
,
"script"
:
{
"inline"
:
"doc['topic_ctr_30'].value+doc['like_rate_30'].value"
},
"type"
:
"number"
}
},
{
"latest_reply_time"
:
{
"order"
:
"desc"
}},
{
"create_time_val"
:
{
"order"
:
"desc"
}},
{
"language_type"
:
{
"order"
:
"asc"
}},
...
...
@@ -450,6 +460,65 @@ class ESPerform(object):
logging
.
info
(
"linucb_tag_id_list_2_same_tagset_ids_2_topics_detail:"
+
str
(
topic_id_dict_latest_reply_time
))
return
topic_id_list
,
topic_id_dict
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
list
(),
dict
()
@classmethod
def
get_tag_new_topic_list
(
cls
,
tag_id
,
have_read_topic_id_list
,
size
=
10
):
try
:
functions_list
=
list
()
for
id
in
tag_id
:
functions_list
.
append
(
{
"filter"
:
{
"term"
:
{
"tag_list"
:
id
}},
"weight"
:
1
}
)
q
=
{
"query"
:
{
"function_score"
:
{
"query"
:
{
"bool"
:
{
"must"
:
[
{
"term"
:
{
"content_level"
:
6
}},
{
"term"
:
{
"is_online"
:
True
}},
{
"term"
:
{
"is_deleted"
:
False
}},
{
"term"
:
{
"is_new_topic"
:
True
}},
{
"terms"
:
{
"tag_list"
:
tag_id
}}
]
}
},
"boost_mode"
:
"sum"
,
"score_mode"
:
"sum"
,
"functions"
:
functions_list
}
},
"_source"
:
{
"include"
:
[
"id"
,
"user_id"
]
},
"sort"
:
[
{
"latest_reply_time"
:
{
"order"
:
"desc"
}},
{
"create_time_val"
:
{
"order"
:
"desc"
}},
{
"language_type"
:
{
"order"
:
"asc"
}},
],
"collapse"
:
{
"field"
:
"user_id"
}
}
if
len
(
have_read_topic_id_list
)
>
0
:
q
[
"query"
][
"function_score"
][
"query"
][
"bool"
][
"must_not"
]
=
{
"terms"
:
{
"id"
:
have_read_topic_id_list
}
}
result_dict
=
ESPerform
.
get_search_results
(
ESPerform
.
get_cli
(),
sub_index_name
=
"topic-high-star"
,
query_body
=
q
,
offset
=
0
,
size
=
size
,
routing
=
"6"
)
topic_id_list
=
[
item
[
"_source"
][
"id"
]
for
item
in
result_dict
[
"hits"
]]
return
topic_id_list
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
list
()
...
...
search/views/topic.py
View file @
221dce25
...
...
@@ -8,7 +8,6 @@ import traceback
import
json
from
search.utils.topic
import
TopicUtils
from
trans2es.models.topic
import
TopicHomeRecommend
from
libs.es
import
ESPerform
from
libs.cache
import
redis_client
from
search.utils.common
import
*
from
libs.es
import
ESPerform
...
...
@@ -17,7 +16,6 @@ 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
from
alpha_types.physical.enum
import
STRATEGY_TYPE
...
...
@@ -55,7 +53,7 @@ def get_discover_page_topic_ids(user_id, device_id, size, query_type=TopicPageTy
return
[]
def
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
,
offset
,
size
,
query
=
None
,
def
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
,
offset
,
underexposure_lin_topic_count
,
size
,
query
=
None
,
query_type
=
TopicPageType
.
HOME_RECOMMEND
,
promote_topic_list
=
[],
disable_collpase
=
False
,
usefulrecall
=-
1
,
useful_tag_list
=
[],
has_score
=
False
,
gray_list
=
[]):
try
:
...
...
@@ -110,6 +108,7 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
recommend_topic_user_list
=
list
()
attention_tag_list
=
list
()
recommend_topic_list
=
list
()
underexposure_lin_topic_ids
=
list
()
if
query
is
None
:
if
user_id
!=
-
1
:
# 有用标签召回
...
...
@@ -125,11 +124,29 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
have_read_topic_id_list
.
extend
(
useful_topic_id_list
)
# linucb 推荐帖子
linucb_recommend_tags
=
list
()
if
STRATEGY_TYPE
.
CTR_GRAY
in
gray_list
:
topic_recommend_redis_key
=
"ctr_physical:linucb:topic_recommend:device_id:"
+
str
(
device_id
)
linucb_recommend_tags_key
=
"ctr_physical:linucb:tag_recommend:device_id:"
+
str
(
device_id
)
linucb_recommend_tags
=
redis_client
.
get
(
linucb_recommend_tags_key
)
if
linucb_recommend_tags
:
linucb_recommend_tags
=
json
.
loads
(
linucb_recommend_tags
)
else
:
topic_recommend_redis_key
=
"physical:linucb:topic_recommend:device_id:"
+
str
(
device_id
)
linucb_recommend_tags_key
=
"physical:linucb:tag_recommend:device_id:"
+
str
(
device_id
)
linucb_recommend_tags
=
redis_client
.
get
(
linucb_recommend_tags_key
)
if
linucb_recommend_tags
:
linucb_recommend_tags
=
json
.
loads
(
linucb_recommend_tags
)
# linucb 推荐新帖子
if
linucb_recommend_tags
:
linucb_recommend_tags_set_tags
=
get_same_tagset_ids
(
linucb_recommend_tags
)
underexposure_lin_topic_ids
=
ESPerform
.
get_tag_new_topic_list
(
linucb_recommend_tags_set_tags
,
have_read_topic_id_list
,
underexposure_lin_topic_count
)
size
=
size
-
len
(
underexposure_lin_topic_ids
)
have_read_topic_id_list
.
extend
(
underexposure_lin_topic_ids
)
redis_client
.
publish
(
"new_topic_impression"
,
json
.
dumps
(
underexposure_lin_topic_ids
))
# linucb 推荐老帖子
recommend_topic_dict
=
redis_client
.
hgetall
(
topic_recommend_redis_key
)
linucb_recommend_topic_id_list
=
list
()
recommend_topic_list
=
list
()
...
...
@@ -236,26 +253,26 @@ 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
:
if
has_score
:
return
recommend_topic_list
,
ret_list
,
useful_topic_id_list
,
rank_topic_score
return
underexposure_lin_topic_ids
,
recommend_topic_list
,
ret_list
,
useful_topic_id_list
,
rank_topic_score
else
:
return
recommend_topic_list
,
ret_list
,
useful_topic_id_list
return
underexposure_lin_topic_ids
,
recommend_topic_list
,
ret_list
,
useful_topic_id_list
else
:
if
has_score
:
return
recommend_topic_list
,
ret_list
,
rank_topic_score
return
underexposure_lin_topic_ids
,
recommend_topic_list
,
ret_list
,
rank_topic_score
else
:
return
recommend_topic_list
,
ret_list
return
underexposure_lin_topic_ids
,
recommend_topic_list
,
ret_list
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
if
usefulrecall
!=
-
1
:
if
has_score
:
return
[],
[],
[],
[]
return
[],
[],
[],
[]
,
[]
else
:
return
[],
[],
[]
return
[],
[],
[]
,
[]
else
:
if
has_score
:
return
[],
[],
[]
return
[],
[],
[]
,
[]
else
:
return
[],
[]
return
[],
[]
,
[]
def
get_home_recommend_pictorial_ids
(
user_id
=-
1
,
device_id
=
""
,
size
=
4
,
gray_list
=
[]):
...
...
@@ -384,9 +401,8 @@ 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
,
lin_pictorial_count
=
4
,
size
=
10
,
query_type
=
TopicPageType
.
HOME_RECOMMEND
,
promote_topic_list
=
[],
usefulrecall
=-
1
,
useful_tag_list
=
[],
is_debug
=
False
,
gray_list
=
[]):
def
home_recommend
(
device_id
=
""
,
user_id
=-
1
,
offset
=
0
,
underexposure_lin_topic_count
=
4
,
lin_pictorial_count
=
4
,
size
=
10
,
query_type
=
TopicPageType
.
HOME_RECOMMEND
,
promote_topic_list
=
[],
usefulrecall
=-
1
,
useful_tag_list
=
[],
is_debug
=
False
,
gray_list
=
[]):
"""
:remark:首页推荐,目前只推荐日记
:param session_id:
...
...
@@ -432,9 +448,10 @@ def home_recommend(device_id="", user_id=-1, offset=0, lin_pictorial_count=4, si
size
=
size
-
len
(
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
(
underexposure_lin_topic_ids
,
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
,
underexposure_lin_topic_count
=
underexposure_lin_topic_count
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
,
...
...
@@ -443,10 +460,11 @@ def home_recommend(device_id="", user_id=-1, offset=0, lin_pictorial_count=4, si
else
:
has_score
=
False
recommend_topic_ids
,
rank_topic_ids
,
useful_topic_ids
=
get_home_recommend_topic_ids
(
user_id
,
underexposure_lin_topic_ids
,
recommend_topic_ids
,
rank_topic_ids
,
useful_topic_ids
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
=
0
,
offset
=
0
,
underexposure_lin_topic_count
=
underexposure_lin_topic_count
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
,
...
...
@@ -455,12 +473,12 @@ def home_recommend(device_id="", user_id=-1, offset=0, lin_pictorial_count=4, si
has_score
=
has_score
,
gray_list
=
gray_list
)
if
not
is_debug
:
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
,
return
{
"
underexposure_lin_topic_ids"
:
underexposure_lin_topic_ids
,
"
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
,
return
{
"
underexposure_lin_topic_ids"
:
underexposure_lin_topic_ids
,
"
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
}
...
...
@@ -470,10 +488,11 @@ def home_recommend(device_id="", user_id=-1, offset=0, lin_pictorial_count=4, si
size
=
size
-
len
(
recommend_pictorial_ids
)
if
is_debug
:
has_score
=
True
recommend_topic_ids
,
rank_topic_ids
,
rank_topic_score
=
get_home_recommend_topic_ids
(
user_id
,
underexposure_lin_topic_ids
,
recommend_topic_ids
,
rank_topic_ids
,
rank_topic_score
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
=
0
,
offset
=
0
,
underexposure_lin_topic_count
=
underexposure_lin_topic_count
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
,
...
...
@@ -482,28 +501,30 @@ def home_recommend(device_id="", user_id=-1, offset=0, lin_pictorial_count=4, si
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
,
underexposure_lin_topic_ids
,
recommend_topic_ids
,
rank_topic_ids
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
=
0
,
offset
=
0
,
underexposure_lin_topic_count
=
underexposure_lin_topic_count
,
size
=
size
,
query_type
=
query_type
,
promote_topic_list
=
promote_topic_list
,
has_score
=
has_score
,
gray_list
=
gray_list
)
if
not
is_debug
:
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
,
return
{
"
underexposure_lin_topic_ids"
:
underexposure_lin_topic_ids
,
"
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
,
return
{
"
underexposure_lin_topic_ids"
:
underexposure_lin_topic_ids
,
"
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"
:
[],
"debug_model_data"
:
{}}
return
{
"underexposure_lin_topic_ids"
:
[],
"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"
:
[],
"debug_model_data"
:
{}}
return
{
"underexposure_lin_topic_ids"
:
[],
"linucb_topic_ids"
:
[],
"rank_topic_ids"
:
[],
"linucb_pictorial_ids"
:
[],
"debug_model_data"
:
{}}
@bind
(
"physical/search/discover_page"
)
...
...
trans2es/management/commands/trans2es_data2es_parallel.py
View file @
221dce25
...
...
@@ -28,10 +28,13 @@ from trans2es.models.topic import Topic,ActionSumAboutTopic
from
search.utils.common
import
*
from
linucb.views.collect_data
import
CollectData
from
injection.data_sync.tasks
import
sync_user_similar_score
import
datetime
from
trans2es.models.tag
import
Tag
from
libs.cache
import
redis_client
from
trans2es.models.tag
import
TopicTag
from
libs.error
import
logging_exception
from
trans2es.models.portrait_stat
import
LikeDeviceTagStat
...
...
@@ -215,6 +218,42 @@ class Command(BaseCommand):
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
def
sub_redis_new_topic_ids
(
self
):
try
:
ps
=
redis_client
.
pubsub
()
ps
.
subscribe
(
"new_topic_impression"
)
all_new_topic_impression_count_key
=
"all_new_topic_impression_count_key"
for
item
in
ps
.
listen
():
if
item
[
'type'
]
==
'message'
:
new_topic_ids
=
json
.
loads
(
item
[
"data"
])
all_new_topic_impression_count
=
json
.
loads
(
redis_client
.
get
(
all_new_topic_impression_count_key
))
insert_topic_ids
=
[]
for
topic
in
new_topic_ids
:
topic
=
str
(
topic
)
if
topic
in
all_new_topic_impression_count
:
all_new_topic_impression_count
[
topic
]
=
all_new_topic_impression_count
[
topic
]
+
1
if
all_new_topic_impression_count
[
topic
]
>
100
:
insert_topic_ids
.
append
(
int
(
topic
))
all_new_topic_impression_count
.
pop
(
topic
)
else
:
all_new_topic_impression_count
[
topic
]
=
1
if
insert_topic_ids
:
insert_list
=
[]
for
topic
in
insert_topic_ids
:
insert_list
.
append
(
LikeDeviceTagStat
(
create_time
=
datetime
.
datetime
.
today
(),
update_time
=
datetime
.
datetime
.
today
(),
topic_id
=
topic
,
is_new_topic
=
0
,
topic_ctr_30
=
0.0
,
like_rate_30
=
0.0
))
LikeDeviceTagStat
.
objects
.
using
(
settings
.
MASTER_DB_NAME
)
.
bulk_create
(
insert_list
)
logging
.
info
(
"impressions count gt 100 topic ids"
+
str
(
insert_topic_ids
))
json_all_new_topic_impression_count
=
json
.
dumps
(
all_new_topic_impression_count
)
logging
.
info
(
"all_new_topic_impression_count"
+
str
(
all_new_topic_impression_count
))
redis_client
.
set
(
all_new_topic_impression_count_key
,
json_all_new_topic_impression_count
)
except
:
logging_exception
()
logging
.
error
(
"redis new topic sub error!"
)
def
handle
(
self
,
*
args
,
**
options
):
try
:
type_name_list
=
get_type_info_map
()
.
keys
()
...
...
@@ -241,5 +280,8 @@ class Command(BaseCommand):
if
len
(
options
[
"sync_type"
])
and
options
[
"sync_type"
]
==
"tagname"
:
self
.
sync_tag_collecction_name_set
()
if
len
(
options
[
"sync_type"
])
and
options
[
"sync_type"
]
==
"new_topic_sub"
:
self
.
sub_redis_new_topic_ids
()
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
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