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ffm-baseline
Commits
48180b6c
Commit
48180b6c
authored
Sep 06, 2019
by
高雅喆
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update
parent
035053a0
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2 changed files
with
3 additions
and
4 deletions
+3
-4
dist_update_portrait_market.py
eda/smart_rank/dist_update_portrait_market.py
+3
-3
dist_update_user_portrait_service.py
eda/smart_rank/dist_update_user_portrait_service.py
+0
-1
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eda/smart_rank/dist_update_portrait_market.py
View file @
48180b6c
...
...
@@ -147,7 +147,7 @@ def compute_ai_scan(x):
def
get_user_tag_score
(
cl_id
,
all_word_tags
,
size
=
10
):
#
try:
try
:
db_jerry_test
=
pymysql
.
connect
(
host
=
'172.16.40.158'
,
port
=
4000
,
user
=
'root'
,
passwd
=
'3SYz54LS9#^9sBvC'
,
db
=
'jerry_test'
,
charset
=
'utf8'
)
cur_jerry_test
=
db_jerry_test
.
cursor
()
...
...
@@ -212,8 +212,8 @@ def get_user_tag_score(cl_id, all_word_tags, size=10):
return
"sucess"
else
:
return
"user log is empty"
#
except Exception as e:
#
return 'pass'
except
Exception
as
e
:
return
'pass'
if
__name__
==
'__main__'
:
...
...
eda/smart_rank/dist_update_user_portrait_service.py
View file @
48180b6c
...
...
@@ -226,7 +226,6 @@ def get_user_service_portrait(cl_id, all_word_tags, all_tag_tag_type, all_3tag_2
user_df_search
.
columns
=
[
"time"
,
"cl_id"
,
"score_type"
,
"tag_id"
,
"tag_referrer"
,
"action"
]
else
:
user_df_search
=
pd
.
DataFrame
(
columns
=
[
"time"
,
"cl_id"
,
"score_type"
,
"tag_id"
,
"tag_referrer"
,
"action"
])
db_jerry_test
.
close
()
# 搜索词转成tag
# user_df_search_2_tag = pd.DataFrame(columns=list(user_df_service.columns))
...
...
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