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ML
ffm-baseline
Commits
e5c5dc82
Commit
e5c5dc82
authored
Jan 13, 2021
by
张彦钊
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2 changed files
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65 additions
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2 deletions
+65
-2
ai_test.py
ai_test.py
+2
-2
hosipatl_name.py
zyz/hosipatl_name.py
+63
-0
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ai_test.py
View file @
e5c5dc82
...
...
@@ -8,8 +8,8 @@ url="http://doris.paas-test.env/v1/once"
header_dict
=
{
'Content-Type'
:
'application/x-www-form-urlencoded'
}
param_dict
=
{}
param_dict
[
"method"
]
=
"doris/recommend/ai_
faces
"
param_detail
=
{
"device_id"
:
"xx"
}
param_dict
[
"method"
]
=
"doris/recommend/ai_
similar_service
"
param_detail
=
{
"device_id"
:
"xx"
,
"user_city_tag_id"
:
350
,
"new_tag_ids"
:[[
1068
,
2288
],[
912
,
385
],[
283
,
2599
]]
}
# param_dict["method"]="doris/search/doctor_officer"
# param_detail = {"device_id": '1',"size": 10,"offset":0, "query": "双眼皮","user_city_tag_id": 328,
...
...
zyz/hosipatl_name.py
0 → 100644
View file @
e5c5dc82
# -*- coding: utf-8 -*-
import
redis
import
re
import
json
import
pymysql
import
pandas
as
pd
# 抽取医院名字简称
def
name_short
():
db
=
pymysql
.
connect
(
host
=
'172.16.30.143'
,
port
=
3306
,
user
=
'work'
,
passwd
=
'BJQaT9VzDcuPBqkd'
,
db
=
'zhengxing'
)
cursor
=
db
.
cursor
()
sql_active
=
"select name from api_hospital;"
cursor
.
execute
(
sql_active
)
result
=
cursor
.
fetchall
()
name_list
=
pd
.
DataFrame
(
list
(
result
))[
0
]
.
values
.
tolist
()
print
(
name_list
[:
10
])
# number = list()
# for i in cover:
# sql = "select count(cid) from data_feed_exposure " \
# "where cid_type = 'diary'" \
# "and stat_date = '{}' and device_id = '{}';".format(date,i)
# cursor.execute(sql)
# result = cursor.fetchone()[0]
# cid.append(i)
# number.append(result)
# df = pd.DataFrame()
# df['id'] = cid
# df['number'] = number
# df = df.sort_values(by = "number",ascending=False)
# df.to_csv(DIRECTORY_PATH+"exp.csv",index=None)
def
name_process
(
name
):
project_tags
=
[
"口腔"
,
"植发"
,
"牙"
,
"皮肤"
,
"眼"
,
"外科"
,
"美容"
,
"整形"
,
"烧伤"
,
"胸"
,
"丰胸"
,
"美胸"
,
"祛痘"
,
"祛斑"
,
"脱毛"
,
"创伤"
,
"除疤"
,
"半永久"
,
"纹绣"
,
"纹眉"
]
names
=
[
"医疗"
,
"门诊"
,
"研究所"
,
"有限"
,
"公司"
,
"医学"
,
"诊所"
,
"中心"
,
"医美"
,
"集团"
,
"卫生"
,
"机构"
,
"专业"
,
"光学"
,
"国际"
,
"连锁"
,
"综合"
,
"专科"
,
""
]
location
=
[
"街道"
,
"社区"
,]
stop_words
=
project_tags
+
names
+
location
for
word
in
stop_words
:
name
=
re
.
sub
(
word
,
''
,
name
)
# 去除 中文括号( )
name
=
re
.
sub
(
r'\(.*?\)'
,
''
,
name
)
# 去除 英文括号( )
name
=
re
.
sub
(
r'\(.*?\)'
,
''
,
name
)
# 去除 左英文括号,右中文括号
name
=
re
.
sub
(
r'\(.*?\)'
,
''
,
name
)
# 去除数字
name
=
re
.
sub
(
r'\d'
,
''
,
name
)
# 去除\t
name
=
re
.
sub
(
r'\t'
,
""
,
name
)
return
name
if
__name__
==
'__main__'
:
name_short
()
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