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ML
ffm-baseline
Commits
09a9f91a
Commit
09a9f91a
authored
Oct 31, 2019
by
高雅喆
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去掉写reids测试
parent
b228de88
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1 changed file
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24 additions
and
24 deletions
+24
-24
dist_update_user_portrait_service.py
eda/smart_rank/dist_update_user_portrait_service.py
+24
-24
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eda/smart_rank/dist_update_user_portrait_service.py
View file @
09a9f91a
...
...
@@ -84,30 +84,30 @@ def get_user_service_portrait(cl_id, all_word_tags, all_tag_tag_type, all_3tag_2
gm_kv_cli
.
set
(
cl_id_portrait_key
,
tag_id_list_json
)
gm_kv_cli
.
expire
(
cl_id_portrait_key
,
time
=
30
*
24
*
60
*
60
)
# 写redis
redis_client
=
redis
.
StrictRedis
.
from_url
(
'redis://:ReDis!GmTx*0aN9@172.16.40.173:6379'
)
cl_id_portrait_key2
=
"user:service_portrait_tags2:cl_id:"
+
str
(
cl_id
)
# 如果画像的tag个数小于5,则补充热搜词
if
len
(
gmkv_tag_score2_sum_dict
)
<
5
:
hot_search_wordskey2
=
"user:service_coldstart_tags2"
hot_search_words_score
=
redis_client
.
hgetall
(
hot_search_wordskey2
)
for
tag_id
in
hot_search_words_score
:
if
int
(
tag_id
)
in
gmkv_tag_score2_sum_dict
:
continue
else
:
gmkv_tag_score2_sum_dict
.
update
({
tag_id
:
hot_search_words
[
tag_id
]})
if
len
(
gmkv_tag_score2_sum_dict
)
>
4
:
break
redis_client
.
delete
(
cl_id_portrait_key2
)
redis_client
.
hmset
(
cl_id_portrait_key2
,
gmkv_tag_score2_sum_dict
)
redis_client
.
expire
(
cl_id_portrait_key2
,
time
=
30
*
24
*
60
*
60
)
# 标签name写redis
cl_id_portrait_key3
=
"user:service_portrait_tags3:cl_id:"
+
str
(
cl_id
)
gmkv_tag_score3_sum_dict
=
{
all_tags_name
[
i
]:
gmkv_tag_score2_sum_dict
[
i
]
for
i
in
gmkv_tag_score2_sum_dict
}
redis_client
.
delete
(
cl_id_portrait_key3
)
redis_client
.
hmset
(
cl_id_portrait_key3
,
gmkv_tag_score3_sum_dict
)
redis_client
.
expire
(
cl_id_portrait_key3
,
time
=
30
*
24
*
60
*
60
)
#
#
写redis
#
redis_client = redis.StrictRedis.from_url('redis://:ReDis!GmTx*0aN9@172.16.40.173:6379')
#
cl_id_portrait_key2 = "user:service_portrait_tags2:cl_id:" + str(cl_id)
#
#
如果画像的tag个数小于5,则补充热搜词
#
if len(gmkv_tag_score2_sum_dict) < 5:
#
hot_search_wordskey2 = "user:service_coldstart_tags2"
#
hot_search_words_score = redis_client.hgetall(hot_search_wordskey2)
#
for tag_id in hot_search_words_score:
#
if int(tag_id) in gmkv_tag_score2_sum_dict:
#
continue
#
else:
#
gmkv_tag_score2_sum_dict.update({tag_id: hot_search_words[tag_id]})
#
if len(gmkv_tag_score2_sum_dict) > 4:
#
break
#
redis_client.delete(cl_id_portrait_key2)
#
redis_client.hmset(cl_id_portrait_key2, gmkv_tag_score2_sum_dict)
#
redis_client.expire(cl_id_portrait_key2, time=30 * 24 * 60 * 60)
#
#
#
标签name写redis
#
cl_id_portrait_key3 = "user:service_portrait_tags3:cl_id:" + str(cl_id)
#
gmkv_tag_score3_sum_dict = {all_tags_name[i]: gmkv_tag_score2_sum_dict[i] for i in gmkv_tag_score2_sum_dict}
#
redis_client.delete(cl_id_portrait_key3)
#
redis_client.hmset(cl_id_portrait_key3, gmkv_tag_score3_sum_dict)
#
redis_client.expire(cl_id_portrait_key3, time=30 * 24 * 60 * 60)
# 写tidb,gmkv同步
stat_date
=
datetime
.
datetime
.
today
()
.
strftime
(
'
%
Y-
%
m-
%
d'
)
...
...
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