Machine learning driven issue classification bot. Add to your repository now!
git clone https://github.com/rafaelkallis/ticket-tagger ticket-tagger
cd ticket-tacker
npm install
# run benchmark
npm run benchmark
# run server
npm start/* src/preprocess.js */
const stemmer = require('natural').PorterStemmer;
/* example preprocessing method */
module.exports = function(text) {
const stem = stemmer.tokenizeAndStem(text);
return stem.join(' ');
}a dataset (with 10k bugs, 10k enhancements and 10k questions) is already included in the repository, or can be found here. the dataset was generated using github archive's which can be accessed through google BigQuery.
add the query below to your BigQuery console and adjust if needed.
SELECT
label, CONCAT(title, ' ', REGEXP_REPLACE(body, '(\r|\n|\r\n)',' '))
FROM (
SELECT
LOWER(JSON_EXTRACT_SCALAR(payload, '$.issue.labels[0].name')) AS label,
JSON_EXTRACT_SCALAR(payload, '$.issue.title') AS title,
JSON_EXTRACT_SCALAR(payload, '$.issue.body') AS body
FROM
[githubarchive:day.20180201],
[githubarchive:day.20180202],
[githubarchive:day.20180203],
[githubarchive:day.20180204],
[githubarchive:day.20180205]
WHERE
type = 'IssuesEvent'
AND JSON_EXTRACT_SCALAR(payload, '$.action') = 'closed' )
WHERE
(label = 'bug' OR label = 'enhancement' OR label = 'question')
AND body != 'null';you need a .env file in order to run the marketplace app.
The file should look like this:
GITHUB_CERT=/path/to/cert.private-key.pem
GITHUB_SECRET=123456
GITHUB_APP_ID=123
PORT=3000