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Research Topic Prediction using DL #178

Research Topic Prediction using DL

Research Topic Prediction using DL #178

name: Comment on Issue Close
on:
issues:
types: [closed]
jobs:
greet-on-close:
runs-on: ubuntu-latest
permissions:
issues: write
steps:
- name: Greet User
uses: actions/github-script@v5
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const issue = context.payload.issue;
const issueCreator = issue.user.login;
const issueNumber = issue.number;
const sender = context.payload.sender.login;
const assignee = context.payload.issue.assignee.login;
// Define maintainers as a list of usernames who should not trigger this action
const maintainers = ['maintainer1', 'maintainer2']; // Replace with actual maintainer usernames
// Check if the issue was closed by a maintainer
if (!maintainers.includes(sender)) {
const greetingMessage = `Hello @${assignee}! Your issue #${issueNumber} has been closed. Thank you for your contribution!`;
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: issueNumber,
body: greetingMessage
});
}