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strategy_embedding
Commits
656388d7
Commit
656388d7
authored
Nov 26, 2020
by
赵威
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update device id
parent
bc2780f3
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19 additions
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17 deletions
+19
-17
match_api.py
personas_vector/match_api.py
+19
-17
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personas_vector/match_api.py
View file @
656388d7
...
@@ -20,23 +20,25 @@ TAG_EMBEDDING_DICT = redis_client_db.hgetall("personas_tags_embedding")
...
@@ -20,23 +20,25 @@ TAG_EMBEDDING_DICT = redis_client_db.hgetall("personas_tags_embedding")
@bind
(
"strategy_embedding/personas_vector/match"
)
@bind
(
"strategy_embedding/personas_vector/match"
)
def
match_tractate_by_device
(
device_id
,
n
=
10
):
def
match_tractate_by_device
(
device_id
,
n
=
10
):
try
:
try
:
time_begin
=
time
.
time
()
if
device_id
not
in
[
"0"
,
"unknown"
]:
business_tags
=
get_user_portrait_tag3_from_redis
(
device_id
,
tags_num
=
4
)
.
get
(
"business_tags"
,
[])
time_begin
=
time
.
time
()
# business_tags = ["假体下巴", "你好", "假体隆胸"]
business_tags
=
get_user_portrait_tag3_from_redis
(
device_id
,
tags_num
=
4
)
.
get
(
"business_tags"
,
[])
res
=
[]
# business_tags = ["假体下巴", "你好", "假体隆胸"]
vectors
=
[]
res
=
[]
for
tag
in
business_tags
:
vectors
=
[]
lst
=
json
.
loads
(
TAG_EMBEDDING_DICT
.
get
(
bytes
(
tag
,
"utf-8"
),
b
"[]"
))
for
tag
in
business_tags
:
if
lst
:
lst
=
json
.
loads
(
TAG_EMBEDDING_DICT
.
get
(
bytes
(
tag
,
"utf-8"
),
b
"[]"
))
vectors
.
append
(
np
.
array
(
lst
)
.
astype
(
"float32"
))
if
lst
:
if
vectors
:
vectors
.
append
(
np
.
array
(
lst
)
.
astype
(
"float32"
))
D
,
I
=
FAISS_TAGS_INDEX
.
search
(
np
.
array
([
np
.
average
(
vectors
,
axis
=
0
)])
.
astype
(
"float32"
),
n
)
if
vectors
:
res
=
I
.
tolist
()[
0
]
D
,
I
=
FAISS_TAGS_INDEX
.
search
(
np
.
array
([
np
.
average
(
vectors
,
axis
=
0
)])
.
astype
(
"float32"
),
n
)
time_end
=
time
.
time
()
-
time_begin
res
=
I
.
tolist
()[
0
]
if
time_end
>
0.04
:
time_end
=
time
.
time
()
-
time_begin
send_performance_msg_to_dingtalk
(
"match_tractate_by_device {} n={} cost {:.3f}ms"
.
format
(
if
time_end
>
0.04
:
device_id
,
n
,
time_end
*
1000
))
send_performance_msg_to_dingtalk
(
"match_tractate_by_device {} n={} cost {:.3f}ms"
.
format
(
return
res
device_id
,
n
,
time_end
*
1000
))
return
res
return
[]
except
Exception
as
e
:
except
Exception
as
e
:
send_msg_to_dingtalk
(
str
(
traceback
.
format_exc
()))
send_msg_to_dingtalk
(
str
(
traceback
.
format_exc
()))
return
[]
return
[]
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