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ML
ffm-baseline
Commits
d3e160fa
Commit
d3e160fa
authored
Nov 05, 2019
by
张彦钊
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parent
aac4ef4b
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2 changed files
with
79 additions
and
38 deletions
+79
-38
content.py
content.py
+0
-0
es_tag.py
es_tag.py
+79
-38
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content.py
0 → 100644
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es_tag.py
View file @
d3e160fa
...
@@ -56,8 +56,13 @@ def es_query(doc, body, offset, size, es=None):
...
@@ -56,8 +56,13 @@ def es_query(doc, body, offset, size, es=None):
from_
=
offset
,
from_
=
offset
,
size
=
size
)
size
=
size
)
number
=
res
[
"hits"
][
"total"
]
# number = res["hits"]["total"]
return
number
total
=
res
[
"hits"
][
"hits"
]
print
(
total
)
r
=
[]
for
i
in
total
:
r
.
append
(
i
[
'_source'
][
'id'
])
return
r
def
answer
():
def
answer
():
...
@@ -884,11 +889,11 @@ def topic():
...
@@ -884,11 +889,11 @@ def topic():
"content_level"
:
3
"content_level"
:
3
}
}
},
},
{
{
"term"
:
{
"term"
:
{
"status"
:
"3"
"status"
:
"3"
}
}
}]
}]
}
}
}
}
...
@@ -917,11 +922,11 @@ def topic():
...
@@ -917,11 +922,11 @@ def topic():
"content_level"
:
4
"content_level"
:
4
}
}
},
},
{
{
"term"
:
{
"term"
:
{
"status"
:
"3"
"status"
:
"3"
}
}
}]
}]
}
}
}
}
...
@@ -950,11 +955,11 @@ def topic():
...
@@ -950,11 +955,11 @@ def topic():
"content_level"
:
5
"content_level"
:
5
}
}
},
},
{
{
"term"
:
{
"term"
:
{
"status"
:
"3"
"status"
:
"3"
}
}
}]
}]
}
}
}
}
...
@@ -983,11 +988,11 @@ def topic():
...
@@ -983,11 +988,11 @@ def topic():
"content_level"
:
3
"content_level"
:
3
}
}
},
},
{
{
"term"
:
{
"term"
:
{
"status"
:
"3"
"status"
:
"3"
}
}
},
{
"term"
:
{
"is_video"
:
True
}}]
},
{
"term"
:
{
"is_video"
:
True
}}]
}
}
}
}
...
@@ -1016,11 +1021,11 @@ def topic():
...
@@ -1016,11 +1021,11 @@ def topic():
"content_level"
:
4
"content_level"
:
4
}
}
},
},
{
{
"term"
:
{
"term"
:
{
"status"
:
"3"
"status"
:
"3"
}
}
},
{
"term"
:
{
"is_video"
:
True
}}]
},
{
"term"
:
{
"is_video"
:
True
}}]
}
}
}
}
...
@@ -1049,11 +1054,11 @@ def topic():
...
@@ -1049,11 +1054,11 @@ def topic():
"content_level"
:
5
"content_level"
:
5
}
}
},
},
{
{
"term"
:
{
"term"
:
{
"status"
:
"3"
"status"
:
"3"
}
}
},
{
"term"
:
{
"is_video"
:
True
}}]
},
{
"term"
:
{
"is_video"
:
True
}}]
}
}
}
}
...
@@ -1063,20 +1068,56 @@ def topic():
...
@@ -1063,20 +1068,56 @@ def topic():
tmp
.
append
(
es_query
(
category
,
video_star5_q
,
0
,
1
))
tmp
.
append
(
es_query
(
category
,
video_star5_q
,
0
,
1
))
total_list
.
append
(
tmp
)
total_list
.
append
(
tmp
)
# print(i)
# print(tmp)
df
=
pd
.
DataFrame
(
total_list
)
df
=
pd
.
DataFrame
(
total_list
)
df
=
df
.
rename
(
columns
=
{
0
:
"tag"
,
1
:
"star_3"
,
2
:
"star_4"
,
3
:
"star_5"
,
df
=
df
.
rename
(
columns
=
{
0
:
"tag"
,
1
:
"star_3"
,
2
:
"star_4"
,
3
:
"star_5"
,
4
:
"video_star_3"
,
5
:
"video_star_4"
,
6
:
"video_star_5"
})
4
:
"video_star_3"
,
5
:
"video_star_4"
,
6
:
"video_star_5"
})
df
.
to_csv
(
"/home/gmuser/topic.csv"
,
index
=
False
,
encoding
=
"utf_8_sig"
)
df
.
to_csv
(
"/home/gmuser/topic.csv"
,
index
=
False
,
encoding
=
"utf_8_sig"
)
def
test_topic
():
query_operator
=
"and"
query_type
=
"cross_fields"
category
=
'tractate'
query
=
"眶隔脂肪释放术"
star3_q
=
{
"query"
:
{
"filtered"
:
{
"filter"
:
{
"bool"
:
{
"must"
:
[{
"multi_match"
:
{
"fields"
:
[
"content^1"
,
"author^1"
,
"tractate_tag_name^1"
,
"tractate_tag_name_content^1"
],
"operator"
:
query_operator
,
"type"
:
query_type
,
"query"
:
query
}
},
{
"term"
:
{
"is_online"
:
True
}
},
{
"term"
:
{
"content_level"
:
3
}
},
{
"term"
:
{
"status"
:
"3"
}
}]
}
}
}
},
"_source"
:{
"include"
:
"id"
}
}
print
(
es_query
(
category
,
star3_q
,
0
,
10
))
if
__name__
==
"__main__"
:
if
__name__
==
"__main__"
:
answer
()
test_topic
()
topic
()
print
(
"topic"
)
question
()
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