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黎涛
meta_base_code
Commits
27f2a796
Commit
27f2a796
authored
Nov 25, 2020
by
litaolemo
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update
parent
0d4efe83
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1 changed file
with
12 additions
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12 deletions
+12
-12
new_user_project_protratit.py
new_user_analysis/new_user_project_protratit.py
+12
-12
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new_user_analysis/new_user_project_protratit.py
View file @
27f2a796
...
...
@@ -113,8 +113,8 @@ for tractate_json in tractate_res_scan:
# print(tractate_json)
tractate_list
.
append
(
tractate_json
[
"_source"
])
_id
=
tractate_json
[
"_id"
]
content_keyword_list
=
tractate_json
[
"_source"
][
"content_keyword"
]
for
content_keyword
in
content_keyword
_list
:
fresh_tractate_tag_list
=
set
(
tractate_json
[
"_source"
][
"fresh_tractate_tag_name"
]
+
tractate_json
[
"_source"
][
"tags_v3"
])
for
content_keyword
in
fresh_tractate_tag
_list
:
if
content_keyword
in
tractate_dict
:
tractate_dict
[
content_keyword
]
+=
1
else
:
...
...
@@ -131,10 +131,10 @@ es_query_answer = {"query": {
}
}
}
res
=
pd
.
DataFrame
(
tractate_list
)
res
.
to_csv
(
"tractate_list.csv"
,
encoding
=
"gb18030"
)
send_file_email
(
""
,
''
,
sender
=
"litao@igengmei.com"
,
email_group
=
[
"litao@igengmei.com"
],
email_msg_body_str
=
"test"
,
title_str
=
"test"
,
cc_group
=
[
"litao@igengmei.com"
],
file
=
"/srv/apps/meta_base_code/tractate_list.csv"
)
#
res = pd.DataFrame(tractate_list)
#
res.to_csv("tractate_list.csv",encoding="gb18030")
#
send_file_email("", '', sender="litao@igengmei.com", email_group=["litao@igengmei.com"], email_msg_body_str="test",
#
title_str="test", cc_group=["litao@igengmei.com"], file="/srv/apps/meta_base_code/tractate_list.csv")
answer_list
=
[]
answer_res_scan
=
scan
(
client
=
es
,
query
=
json
.
dumps
(
es_query_answer
),
index
=
"gm-dbmw-answer-read"
,
doc_type
=
"answer"
,
scroll
=
'3m'
)
...
...
@@ -142,16 +142,16 @@ answer_dict = {}
for
answer_json
in
answer_res_scan
:
answer_list
.
append
(
answer_json
[
"_source"
])
_id
=
answer_json
[
"_id"
]
content_keyword_list
=
answer_json
[
"_source"
][
"content_keyword"
]
for
content_keyword
in
content_keyword
_list
:
fresh_answer_tag_list
=
set
(
answer_json
[
"_source"
][
"fresh_tractate_tag_name"
]
+
answer_json
[
"_source"
][
"tags_v3"
])
for
content_keyword
in
fresh_answer_tag
_list
:
if
content_keyword
in
answer_dict
:
answer_dict
[
content_keyword
]
+=
1
else
:
answer_dict
[
content_keyword
]
=
1
res
=
pd
.
DataFrame
(
answer_list
)
res
.
to_csv
(
"answer_list.csv"
,
encoding
=
"gb18030"
)
send_file_email
(
""
,
''
,
sender
=
"litao@igengmei.com"
,
email_group
=
[
"litao@igengmei.com"
],
email_msg_body_str
=
"test"
,
title_str
=
"test"
,
cc_group
=
[
"litao@igengmei.com"
],
file
=
"/srv/apps/meta_base_code/answer_list.csv"
)
#
res = pd.DataFrame(answer_list)
#
res.to_csv("answer_list.csv",encoding="gb18030")
#
send_file_email("", '', sender="litao@igengmei.com", email_group=["litao@igengmei.com"], email_msg_body_str="test",
#
title_str="test", cc_group=["litao@igengmei.com"], file="/srv/apps/meta_base_code/answer_list.csv")
for
t
in
range
(
2
,
task_days
):
day_num
=
0
-
t
...
...
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