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LINEBOT
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Authored by
yangjisu
2019-06-05 15:20:48 +0900
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Commit
d5a23b428c81cfbb653b57c7a73b6191010a42f8
d5a23b42
1 parent
9eca9b87
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1 changed file
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80 additions
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128 deletions
app.js
app.js
View file @
d5a23b4
var
express
=
require
(
'express'
);
var
app
=
express
();
const
line
=
require
(
'@line/bot-sdk'
);
const
config
=
require
(
'./config'
);
//papago api
...
...
@@ -12,149 +13,100 @@ var translate_api_url = 'https://openapi.naver.com/v1/papago/n2mt';
//언어감지 api_url
var
languagedetect_api_url
=
'https://openapi.naver.com/v1/papago/detectLangs'
;
//eng grammar check
var
EnGrammarCheck_api_url
=
'https://api.textgears.com/check.php'
;
import
textgears
from
'textgears'
;
textgears
({
key
:
'9WUGcY6ZayYMphG7'
,
text
:
prompt
(
'Text'
),
}).
then
(
res
=>
{
for
(
const
error
of
res
.
errors
)
{
console
.
log
(
'Bad: %s. Better: %s'
,
error
.
bad
,
error
.
better
.
join
(
', '
));
}
});
// create LINE SDK client
const
client
=
new
line
.
Client
(
config
.
line_config
);
const
client
=
new
line
.
Client
(
config
);
// create Express app
// about Express itself: https://expressjs.com/
// register a webhook handler with middleware
// about the middleware, please refer to doc
app
.
post
(
'/webhook'
,
line
.
middleware
(
config
),
(
req
,
res
)
=>
{
Promise
.
all
(
req
.
body
.
events
.
map
(
handleEvent
))
.
then
((
result
)
=>
res
.
json
(
result
))
.
catch
((
err
)
=>
{
console
.
error
(
err
);
res
.
status
(
200
).
end
();
});
});
// Imports the Google Cloud client library
const
vision
=
require
(
'@google-cloud/vision'
);
// Creates a client
const
client
=
new
vision
.
ImageAnnotatorClient
();
/**
* TODO(developer): Uncomment the following line before running the sample.
*/
// const fileName = 'Local image file, e.g. /path/to/image.png';
// Read a local image as a text document
const
[
result
]
=
await
client
.
documentTextDetection
(
fileName
);
const
fullTextAnnotation
=
result
.
fullTextAnnotation
;
//console.log(`Full text: ${fullTextAnnotation.text}`);
fullTextAnnotation
.
pages
.
forEach
(
page
=>
{
paragraph
.
words
.
forEach
(
word
=>
{
const
wordText
=
word
.
symbols
.
map
(
s
=>
s
.
text
).
join
(
''
);
// console.log(`Word text: ${wordText}`);
word
.
symbols
.
forEach
(
symbol
=>
{
// console.log(`Symbol text: ${symbol.text}`);
});
});
app
.
post
(
"/webhook"
,
line
.
middleware
(
config
.
line_config
),
(
req
,
res
)
=>
{
// res.status(200).end();
Promise
.
all
(
req
.
body
.
events
.
map
(
handleEvent
)).
then
(
result
=>
res
.
json
(
result
)
);
});
const
vision
=
require
(
'@google-cloud/vision'
);
// Creates a client
const
client
=
new
vision
.
ImageAnnotatorClient
();
/**
* TODO(developer): Uncomment the following line before running the sample.
*/
// const fileName = 'Local image file, e.g. /path/to/image.png';
// Performs text detection on the local file
const
[
result
]
=
await
client
.
textDetection
(
fileName
);
const
detections
=
result
.
textAnnotations
;
//console.log('Text:');
detections
.
forEach
(
text
=>
console
.
log
(
text
));
// event handler
function
handleEvent
(
event
)
{
if
(
event
.
type
!==
'message'
||
event
.
message
.
type
!==
'text'
)
{
// ignore non-text-message event
return
Promise
.
resolve
(
null
);
}
return
new
Promise
(
function
(
resolve
,
reject
)
{
//언어 감지 option
var
detect_options
=
{
url
:
languagedetect_api_url
,
form
:
{
'query'
:
event
.
message
.
text
},
headers
:
config
.
naver_header
};
//papago 언어 감지
request
.
post
(
detect_options
,
function
(
error
,
response
,
body
){
console
.
log
(
response
.
statusCode
);
if
(
!
error
&&
response
.
statusCode
==
200
){
var
detect_body
=
JSON
.
parse
(
response
.
body
);
var
source
=
''
;
var
target
=
''
;
var
result
=
{
type
:
'text'
,
text
:
''
};
//언어 감지가 제대로 됐는지 확인
console
.
log
(
detect_body
.
langCode
);
//번역은 한국어->영어 / 영어->한국어만 지원
if
(
detect_body
.
langCode
==
'ko'
||
detect_body
.
langCode
==
'en'
){
source
=
detect_body
.
langCode
==
'ko'
?
'ko'
:
'en'
;
target
=
source
==
'ko'
?
'en'
:
'ko'
;
//papago 번역 option
var
options
=
{
url
:
translate_api_url
,
function
handleImgEvent
(
event
)
{
switch
(
event
)
{
case
event
.
type
=
'image'
:
async
function
detectText
(
fileName
)
{
// [START vision_text_detection]
const
vision
=
require
(
'@google-cloud/vision'
);
// Creates a client
const
client
=
new
vision
.
ImageAnnotatorClient
();
/**
* TODO(developer): Uncomment the following line before running the sample.
*/
// const fileName = 'Local image file, e.g. /path/to/image.png';
// Performs text detection on the local file
const
[
result
]
=
await
client
.
textDetection
(
fileName
);
const
detections
=
result
.
textAnnotations
;
console
.
log
(
'Text:'
);
detections
.
forEach
(
text
=>
console
.
log
(
text
));
// [END vision_text_detection]
}
break
;
case
event
.
type
=
'message'
:
var
detect_options
=
{
url
:
languagedetect_api_url
,
form
:
{
'query'
:
event
.
message
.
text
},
headers
:
{
'X-Naver-Client-Id'
:
client_id
,
'X-Naver-Client-Secret'
:
client_secret
}
}
request
.
post
(
detect_options
,
function
(
error
,
response
,
body
)
{
console
.
log
(
response
.
statusCode
);
if
(
!
error
&&
response
.
statusCode
==
200
)
{
var
detect_body
=
JSON
.
parse
(
response
.
body
);
var
source
=
''
;
var
target
=
''
;
var
result
=
{
type
:
'text'
,
text
:
''
};
//언어 감지가 제대로 됐는지 확인
console
.
log
(
detect_body
.
langCode
);
//번역은 한국어->영어 / 영어->한국어만 지원
if
(
detect_body
.
langCode
==
'ko'
||
detect_body
.
langCode
==
'en'
)
{
source
=
detect_body
.
langCode
==
'ko'
?
'ko'
:
'en'
;
target
=
source
==
'ko'
?
'en'
:
'ko'
;
//papago 번역 option
var
options
=
{
url
:
translate_api_url
,
// 한국어(source : ko), 영어(target: en), 카톡에서 받는 메시지(text)
form
:
{
'source'
:
source
,
'target'
:
target
,
'text'
:
event
.
message
.
text
},
headers
:
config
.
naver_header
};
form
:
{
'source'
:
source
,
'target'
:
target
,
'text'
:
event
.
message
.
text
},
headers
:
{
'X-Naver-Client-Id'
:
client_id
,
'X-Naver-Client-Secret'
:
client_secret
}
};
// Naver Post API
request
.
post
(
options
,
function
(
error
,
response
,
body
)
{
// Naver Post API
request
.
post
(
options
,
function
(
error
,
response
,
body
)
{
// Translate API Sucess
if
(
!
error
&&
response
.
statusCode
==
200
)
{
// JSON
var
objBody
=
JSON
.
parse
(
response
.
body
);
// Message 잘 찍히는지 확인
result
.
text
=
objBody
.
message
.
result
.
translatedText
;
console
.
log
(
result
.
text
);
//번역된 문장 보내기
client
.
replyMessage
(
event
.
replyToken
,
result
).
then
(
resolve
).
catch
(
reject
);
if
(
!
error
&&
response
.
statusCode
==
200
)
{
// JSON
var
objBody
=
JSON
.
parse
(
response
.
body
);
// Message 잘 찍히는지 확인
result
.
text
=
objBody
.
message
.
result
.
translatedText
;
console
.
log
(
result
.
text
);
//번역된 문장 보내기
client
.
replyMessage
(
event
.
replyToken
,
result
).
then
(
resolve
).
catch
(
reject
);
}
});
}
// 메시지의 언어가 영어 또는 한국어가 아닐 경우
else
{
result
.
text
=
'언어를 감지할 수 없습니다. \n 번역 언어는 한글 또는 영어만 가능합니다.'
;
client
.
replyMessage
(
event
.
replyToken
,
result
).
then
(
resolve
).
catch
(
reject
);
}
}
});
}
// 메시지의 언어가 영어 또는 한국어가 아닐 경우
else
{
result
.
text
=
'언어를 감지할 수 없습니다. \n 번역 언어는 한글 또는 영어만 가능합니다.'
;
client
.
replyMessage
(
event
.
replyToken
,
result
).
then
(
resolve
).
catch
(
reject
);
}
break
;
});
});
}
})
}
}
app
.
listen
(
3000
,
function
()
{
console
.
log
(
'Linebot listening on port 3000!'
);
})
;
})
...
...
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