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alpha
physical
Commits
74a5dd9f
Commit
74a5dd9f
authored
5 years ago
by
lixiaofang
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1 changed file
with
50 additions
and
78 deletions
+50
-78
topic.py
search/views/topic.py
+50
-78
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search/views/topic.py
View file @
74a5dd9f
...
...
@@ -14,7 +14,6 @@ from search.utils.common import *
from
libs.es
import
ESPerform
from
django.conf
import
settings
def
get_discover_page_topic_ids
(
user_id
,
device_id
,
size
,
query_type
=
TopicPageType
.
FIND_PAGE
):
try
:
if
user_id
==
-
1
:
...
...
@@ -29,11 +28,10 @@ def get_discover_page_topic_ids(user_id, device_id, size, query_type=TopicPageTy
if
have_read_topic_id_list
==
None
:
have_read_topic_id_list
=
list
()
recommend_topic_ids
=
TopicUtils
.
get_recommend_topic_ids
(
user_id
=
user_id
,
tag_id
=
0
,
offset
=
0
,
size
=
size
,
single_size
=
size
,
recommend_topic_ids
=
TopicUtils
.
get_recommend_topic_ids
(
user_id
=
user_id
,
tag_id
=
0
,
offset
=
0
,
size
=
size
,
single_size
=
size
,
query_type
=
query_type
,
filter_topic_id_list
=
have_read_topic_id_list
,
index_type
=
"topic"
,
routing
=
"4,5,6"
)
filter_topic_id_list
=
have_read_topic_id_list
,
index_type
=
"topic"
,
routing
=
"4,5,6"
)
have_read_topic_id_list
.
extend
(
recommend_topic_ids
)
redis_dict
=
{
...
...
@@ -48,31 +46,27 @@ 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
=
[]):
query_type
=
TopicPageType
.
HOME_RECOMMEND
,
promote_topic_list
=
[],
disable_collpase
=
False
,
usefulrecall
=
-
1
,
useful_tag_list
=
[]):
try
:
topic_star_routing
=
"6"
index_type
=
"topic-high-star"
device_redis_key
=
""
if
query
is
None
:
if
user_id
>
0
:
if
user_id
>
0
:
redis_key
=
"physical:home_recommend"
+
":user_id:"
+
str
(
user_id
)
+
":query_type:"
+
str
(
query_type
)
device_redis_key
=
"physical:home_recommend"
+
":device_id:"
+
device_id
+
":query_type:"
+
str
(
query_type
)
device_redis_key
=
"physical:home_recommend"
+
":device_id:"
+
device_id
+
":query_type:"
+
str
(
query_type
)
else
:
redis_key
=
"physical:home_recommend"
+
":device_id:"
+
device_id
+
":query_type:"
+
str
(
query_type
)
else
:
topic_star_routing
=
"3,4,5,6"
index_type
=
"topic"
if
user_id
>
0
:
redis_key
=
"physical:home_query"
+
":user_id:"
+
str
(
user_id
)
+
":query:"
+
str
(
query
)
+
":query_type:"
+
str
(
query_type
)
device_redis_key
=
"physical:home_query"
+
":device_id:"
+
device_id
+
":query:"
+
str
(
query
)
+
":query_type:"
+
str
(
query_type
)
if
user_id
>
0
:
redis_key
=
"physical:home_query"
+
":user_id:"
+
str
(
user_id
)
+
":query:"
+
str
(
query
)
+
":query_type:"
+
str
(
query_type
)
device_redis_key
=
"physical:home_query"
+
":device_id:"
+
device_id
+
":query:"
+
str
(
query
)
+
":query_type:"
+
str
(
query_type
)
else
:
redis_key
=
"physical:home_query"
+
":device_id:"
+
device_id
+
":query:"
+
str
(
query
)
+
":query_type:"
+
str
(
query_type
)
redis_key
=
"physical:home_query"
+
":device_id:"
+
device_id
+
":query:"
+
str
(
query
)
+
":query_type:"
+
str
(
query_type
)
redis_field_list
=
[
b
'have_read_topic_list'
]
redis_field_val_list
=
redis_client
.
hmget
(
redis_key
,
redis_field_list
)
...
...
@@ -84,17 +78,18 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
if
query
is
None
:
have_read_topic_id_list
=
list
(
json
.
loads
(
redis_field_val_list
[
0
]))
else
:
if
offset
>
0
:
# 首次搜索时不需要过滤已读
if
offset
>
0
:
# 首次搜索时不需要过滤已读
have_read_topic_id_list
=
list
(
json
.
loads
(
redis_field_val_list
[
0
]))
elif
len
(
device_redis_key
)
>
0
:
elif
len
(
device_redis_key
)
>
0
:
redis_field_val_list
=
redis_client
.
hmget
(
device_redis_key
,
redis_field_list
)
if
redis_field_val_list
[
0
]:
if
query
is
None
:
have_read_topic_id_list
=
list
(
json
.
loads
(
redis_field_val_list
[
0
]))
else
:
if
offset
>
0
:
# 首次搜索时不需要过滤已读
if
offset
>
0
:
# 首次搜索时不需要过滤已读
have_read_topic_id_list
=
list
(
json
.
loads
(
redis_field_val_list
[
0
]))
if
have_read_topic_id_list
==
None
:
have_read_topic_id_list
=
list
()
have_read_topic_id_list
.
extend
(
promote_topic_list
)
...
...
@@ -107,8 +102,7 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
# 有用标签召回
if
usefulrecall
!=
-
1
:
useful_topic_id_list
=
TopicUtils
.
userful_tag_topic_list
(
user_id
,
have_read_topic_id_list
,
4
,
"topic-high-star"
,
"6"
,
useful_tag_list
=
useful_tag_list
)
"topic-high-star"
,
"6"
,
useful_tag_list
=
useful_tag_list
)
# user_similar_score_redis_key = "physical:user_similar_score:user_id:" + str(user_id)
# redis_user_similar_score_redis_val = redis_client.get(user_similar_score_redis_key)
# user_similar_score_redis_list = json.loads(
...
...
@@ -128,8 +122,7 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
linucb_recommend_topic_id_list
=
list
()
# 推荐帖子是强插的,要保证推荐帖子不在已读里
logging
.
warning
(
"type1:
%
s,type2:
%
s"
%
(
type
(
linucb_recommend_topic_id_list
),
type
(
have_read_topic_id_list
)))
logging
.
warning
(
"type1:
%
s,type2:
%
s"
%
(
type
(
linucb_recommend_topic_id_list
),
type
(
have_read_topic_id_list
)))
recommend_topic_id_list
=
list
(
set
(
linucb_recommend_topic_id_list
)
-
set
(
have_read_topic_id_list
))
recommend_topic_id_list
.
sort
(
key
=
linucb_recommend_topic_id_list
.
index
)
# cursor = int(str(recommend_topic_dict[b"cursor"], encoding="utf-8"))
...
...
@@ -140,7 +133,7 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
if
b
"datadict"
in
recommend_topic_dict
:
linucb_recommend_topic_id_dict
=
json
.
loads
(
recommend_topic_dict
[
b
"datadict"
])
if
linucb_recommend_topic_id_dict
is
not
None
and
len
(
recommend_topic_list
)
>
0
:
if
linucb_recommend_topic_id_dict
is
not
None
and
len
(
recommend_topic_list
)
>
0
:
for
i
in
recommend_topic_list
:
recommend_topic_user_list
.
append
(
linucb_recommend_topic_id_dict
[
str
(
i
)])
# if have_read_topic_id_list == None:
...
...
@@ -148,8 +141,8 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
# 用户关注标签
redis_tag_data
=
redis_client
.
hget
(
"physical:linucb:register_user_tag_info"
,
user_id
)
attention_tag_list
=
json
.
loads
(
redis_tag_data
)
if
redis_tag_data
else
[]
if
len
(
recommend_topic_list
)
>
0
:
size
=
size
-
len
(
recommend_topic_list
)
if
len
(
recommend_topic_list
)
>
0
:
size
=
size
-
len
(
recommend_topic_list
)
have_read_topic_id_list
.
extend
(
recommend_topic_list
)
# have_read_topic_id_list_add_promote = list()
...
...
@@ -160,15 +153,11 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
# for topic_id in promote_recommend_topic_id_list:
# have_read_topic_id_list_add_promote.append(topic_id)
rank_topic_id_list
=
list
()
if
size
>
0
:
if
size
>
0
:
rank_topic_id_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
,
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
)
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):
...
...
@@ -185,7 +174,7 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
# topic_id_list.extend(rank_topic_id_list)
have_read_topic_id_list
.
extend
(
rank_topic_id_list
)
if
len
(
have_read_topic_id_list
)
>
30000
:
cut_len
=
len
(
have_read_topic_id_list
)
-
30000
cut_len
=
len
(
have_read_topic_id_list
)
-
30000
have_read_topic_id_list
=
have_read_topic_id_list
[
cut_len
:]
redis_dict
=
{
"have_read_topic_list"
:
json
.
dumps
(
have_read_topic_id_list
),
...
...
@@ -194,13 +183,13 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
# 每个session key保存60天
redis_client
.
expire
(
redis_key
,
60
*
60
*
24
*
60
)
if
usefulrecall
!=
-
1
:
return
recommend_topic_list
,
rank_topic_id_list
,
useful_topic_id_list
return
recommend_topic_list
,
rank_topic_id_list
,
useful_topic_id_list
else
:
return
recommend_topic_list
,
rank_topic_id_list
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
if
usefulrecall
!=
-
1
:
return
[],
[],
[]
return
[],
[],
[]
else
:
return
[],
[]
...
...
@@ -215,8 +204,7 @@ 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
=
[]):
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
=
[]):
"""
:remark:首页推荐,目前只推荐日记
:param session_id:
...
...
@@ -249,32 +237,24 @@ def home_recommend(device_id="", user_id=-1, offset=0, size=10, query_type=Topic
have_read_topic_id_list
=
list
(
json
.
loads
(
redis_field_val_list
[
0
]))
if
len
(
have_read_topic_id_list
)
>
offset
:
recommend_topic_ids
=
have_read_topic_id_list
[
offset
:
offset
+
size
]
recommend_topic_ids
=
have_read_topic_id_list
[
offset
:
offset
+
size
]
else
:
recommend_topic_ids
=
have_read_topic_id_list
[
0
:
size
]
else
:
if
usefulrecall
!=
-
1
and
len
(
useful_tag_list
)
>
0
:
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
}
if
usefulrecall
!=
-
1
and
len
(
useful_tag_list
)
>
0
:
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
}
else
:
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
)
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
)
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
}
return
{
"linucb_topic_ids"
:
recommend_topic_ids
,
"rank_topic_ids"
:
rank_topic_ids
}
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
if
usefulrecall
!=
-
1
:
return
{
"linucb_topic_ids"
:
[],
"rank_topic_ids"
:
[],
"useful_topic_ids"
:
[]}
return
{
"linucb_topic_ids"
:
[],
"rank_topic_ids"
:[],
"useful_topic_ids"
:
[]}
else
:
return
{
"linucb_topic_ids"
:
[],
"rank_topic_ids"
:
[]}
...
...
@@ -320,12 +300,11 @@ def home_query(device_id="", tag_id=-1, user_id=-1, query="", offset=0, size=10)
if
not
isinstance
(
device_id
,
str
):
device_id
=
""
recommend_topic_list
,
rank_topic_id_list
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
,
offset
=
offset
,
size
=
size
,
query
=
query
)
if
len
(
rank_topic_id_list
)
>
0
and
len
(
rank_topic_id_list
)
<
size
:
recommend_topic_list
,
rank_topic_id_list
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
,
offset
=
offset
,
size
=
size
,
query
=
query
)
if
len
(
rank_topic_id_list
)
>
0
and
len
(
rank_topic_id_list
)
<
size
:
recommend_topic_list
,
rank_topic_id_list
=
get_home_recommend_topic_ids
(
user_id
,
device_id
,
tag_id
,
offset
=
offset
,
size
=
size
,
query
=
query
,
disable_collpase
=
True
)
query
=
query
,
disable_collpase
=
True
)
return
{
"recommend_topic_ids"
:
rank_topic_id_list
}
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
...
...
@@ -347,9 +326,9 @@ def topic_detail_page_recommend(device_id="", user_id=-1, topic_id=-1, topic_pic
if
not
isinstance
(
user_id
,
int
):
user_id
=
-
1
if
user_id
>
0
:
redis_key
=
"physical:topic_detail_recommend"
+
":user_id:"
+
str
(
user_id
)
+
"topic_id:"
+
str
(
topic_id
)
redis_key
=
"physical:topic_detail_recommend"
+
":user_id:"
+
str
(
user_id
)
+
"topic_id:"
+
str
(
topic_id
)
else
:
redis_key
=
"physical:topic_detail_recommend"
+
":device_id:"
+
device_id
+
"topic_id:"
+
str
(
topic_id
)
redis_key
=
"physical:topic_detail_recommend"
+
":device_id:"
+
device_id
+
"topic_id:"
+
str
(
topic_id
)
if
int
(
offset
)
==
0
:
have_read_topic_list
=
list
()
# redis_dict = {
...
...
@@ -362,7 +341,7 @@ def topic_detail_page_recommend(device_id="", user_id=-1, topic_id=-1, topic_pic
have_read_topic_list
=
list
()
redis_field_list
=
[
b
'have_read_topic_list'
]
have_read_topic_redis_data
=
redis_client
.
hmget
(
redis_key
,
redis_field_list
)
have_read_topic_redis_data
=
redis_client
.
hmget
(
redis_key
,
redis_field_list
)
have_read_topic_list
=
json
.
loads
(
have_read_topic_redis_data
[
0
])
if
have_read_topic_redis_data
[
0
]
else
[]
es_cli_obj
=
ESPerform
.
get_cli
()
have_read_topic_list
.
append
(
topic_id
)
...
...
@@ -370,23 +349,18 @@ def topic_detail_page_recommend(device_id="", user_id=-1, topic_id=-1, topic_pic
topic_tag_result
=
list
()
result
=
list
()
if
len
(
topic_tag_list
)
!=
0
:
topic_tag_result
=
TopicUtils
.
top_get_topic_detail_recommend_list
(
user_id
,
topic_id
,
have_read_topic_list
,
size
,
es_cli_obj
,
index_type
=
"topic"
,
routing
=
"3,4,5,6"
,
topic_tag_list
=
topic_tag_list
)
topic_tag_result
=
TopicUtils
.
top_get_topic_detail_recommend_list
(
user_id
,
topic_id
,
have_read_topic_list
,
size
,
es_cli_obj
,
index_type
=
"topic"
,
routing
=
"3,4,5,6"
,
topic_tag_list
=
topic_tag_list
)
topic_tag_size
=
len
(
topic_tag_result
)
have_read_topic_list
.
extend
(
topic_tag_result
)
else
:
topic_tag_size
=
0
if
topic_tag_size
<
size
:
if
topic_tag_size
<
size
:
size
=
size
-
topic_tag_size
if
topic_user_id
!=
-
1
:
topic_user_result
=
TopicUtils
.
top_get_topic_detail_recommend_list
(
user_id
,
topic_id
,
have_read_topic_list
,
topic_user_result
=
TopicUtils
.
top_get_topic_detail_recommend_list
(
user_id
,
topic_id
,
have_read_topic_list
,
size
,
es_cli_obj
,
index_type
=
"topic"
,
routing
=
"3,4,5,6"
,
topic_user_id
=
topic_user_id
index_type
=
"topic"
,
routing
=
"3,4,5,6"
,
topic_user_id
=
topic_user_id
)
topic_user_size
=
len
(
topic_user_result
)
have_read_topic_list
.
extend
(
topic_user_result
)
...
...
@@ -472,7 +446,7 @@ def topic_search(filters, nfilters=None, sorts_by=None, offset=0, size=10):
"""帖子搜索。"""
try
:
(
topic_id_list
,
total_count
)
=
TopicUtils
.
list_topic_ids
(
filters
=
filters
,
nfilters
=
nfilters
,
(
topic_id_list
,
total_count
)
=
TopicUtils
.
list_topic_ids
(
filters
=
filters
,
nfilters
=
nfilters
,
sorts_by
=
sorts_by
,
offset
=
offset
,
size
=
size
)
return
{
...
...
@@ -496,10 +470,8 @@ def query_topic_by_user_similarity(topic_similarity_score_dict, offset=0, size=1
try
:
must_topic_id_list
=
list
(
topic_similarity_score_dict
.
keys
())
topic_id_list
=
TopicUtils
.
get_recommend_topic_ids
(
tag_id
=
0
,
user_id
=-
1
,
offset
=
offset
,
size
=
size
,
single_size
=
size
,
must_topic_id_list
=
must_topic_id_list
,
index_type
=
"topic"
,
routing
=
"4,5,6"
)
topic_id_list
=
TopicUtils
.
get_recommend_topic_ids
(
tag_id
=
0
,
user_id
=-
1
,
offset
=
offset
,
size
=
size
,
single_size
=
size
,
must_topic_id_list
=
must_topic_id_list
,
index_type
=
"topic"
,
routing
=
"4,5,6"
)
return
{
"recommend_topic_ids"
:
topic_id_list
}
except
:
...
...
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