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ML
ffm-baseline
Commits
55a957a7
Commit
55a957a7
authored
Aug 08, 2018
by
张彦钊
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change sql
parent
5b296bc4
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3 changed files
with
6 additions
and
5 deletions
+6
-5
.DS_Store
.DS_Store
+0
-0
diaryCandidateSet.py
diaryCandidateSet.py
+5
-4
predictDiary.py
predictDiary.py
+1
-1
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.DS_Store
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55a957a7
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diaryCandidateSet.py
View file @
55a957a7
...
...
@@ -18,7 +18,9 @@ def filter_cid(df):
def
get_allCitiesDiaryTop2000
():
# 获取全国点击量TOP2000日记
sql
=
"select city_id,cid from data_feed_click where cid_type = 'diary' order by click_count_choice desc limit 2000"
sql
=
"select city_id,cid from data_feed_click "
\
"where cid_type = 'diary' group by cid order by max(click_count_choice) desc limit 2000"
allCitiesTop2000
=
con_sql
(
sql
)
allCitiesTop2000
=
allCitiesTop2000
.
rename
(
columns
=
{
0
:
"city_id"
,
1
:
"cid"
})
allCitiesTop2000
=
filter_cid
(
allCitiesTop2000
)
...
...
@@ -43,9 +45,8 @@ def get_eachCityDiaryTop2000():
cityList
=
get_cityList
()
allCitiesTop2000
=
get_allCitiesDiaryTop2000
()
for
i
in
cityList
:
sql
=
"select city_id,cid from data_feed_click "
\
"where cid_type = 'diary' and city_id = '{0}' "
\
"order by click_count_choice desc limit 2000"
.
format
(
i
)
sql
=
"select '{0}',cid from data_feed_click "
\
"where cid_type = 'diary' group by cid order by max(click_count_choice) desc limit 2000"
.
format
(
i
)
data
=
con_sql
(
sql
)
data
=
data
.
rename
(
columns
=
{
0
:
"city_id"
,
1
:
"cid"
})
data
=
filter_cid
(
data
)
...
...
predictDiary.py
View file @
55a957a7
...
...
@@ -72,7 +72,7 @@ def upload_predict(user_profile, instance):
def
wrapper_result
(
prob
,
device_id
):
prob
=
prob
.
head
(
500
)
prob
.
loc
[:,
"url"
]
=
prob
[
"cid"
]
.
apply
(
lambda
x
:
"http://m.igengmei.com/diary_book/"
+
str
(
x
)
+
'/'
)
prob
.
loc
[:,
"url"
]
=
prob
[
"cid"
]
.
apply
(
lambda
x
:
"http://m.igengmei.com/diary_book/"
+
str
(
x
[
6
:]
)
+
'/'
)
prob
.
to_csv
(
DIRECTORY_PATH
+
"result/{}_feed"
.
format
(
device_id
),
index
=
False
)
...
...
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