feat: add "Contribute" section to improve community engagement #5
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| name: Smart Duplicate Issue Detector (Semantic) | |
| on: | |
| issues: | |
| types: [opened] | |
| permissions: | |
| issues: write | |
| jobs: | |
| detect-duplicates: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: '3.11' | |
| - name: Install dependencies | |
| run: | | |
| pip install --no-cache-dir sentence-transformers scikit-learn | |
| - name: Semantic duplicate detection (open + closed) | |
| uses: actions/github-script@v6 | |
| with: | |
| script: | | |
| const fs = require('fs'); | |
| const issue = context.payload.issue; | |
| const issues = await github.paginate( | |
| github.rest.issues.listForRepo, | |
| { | |
| owner: context.repo.owner, | |
| repo: context.repo.repo, | |
| state: 'all', | |
| per_page: 100 | |
| } | |
| ); | |
| const data = { | |
| current: { | |
| number: issue.number, | |
| title: issue.title, | |
| body: issue.body || '' | |
| }, | |
| others: issues | |
| .filter(i => i.number !== issue.number) | |
| .map(i => ({ | |
| number: i.number, | |
| title: i.title, | |
| body: i.body || '', | |
| url: i.html_url, | |
| state: i.state | |
| })) | |
| }; | |
| fs.writeFileSync('issues.json', JSON.stringify(data)); | |
| - name: Run semantic similarity analysis | |
| run: | | |
| python << 'EOF' | |
| import json | |
| from sentence_transformers import SentenceTransformer | |
| from sklearn.metrics.pairwise import cosine_similarity | |
| THRESHOLD = 0.82 # good balance | |
| MAX_RESULTS = 3 | |
| with open("issues.json") as f: | |
| data = json.load(f) | |
| model = SentenceTransformer("all-MiniLM-L6-v2") | |
| def text(issue): | |
| return f"{issue['title']} {issue['body']}".strip() | |
| current_text = text(data["current"]) | |
| others = data["others"] | |
| embeddings = model.encode( | |
| [current_text] + [text(i) for i in others], | |
| normalize_embeddings=True | |
| ) | |
| current_vec = embeddings[0] | |
| other_vecs = embeddings[1:] | |
| sims = cosine_similarity([current_vec], other_vecs)[0] | |
| matches = [] | |
| for issue, score in zip(others, sims): | |
| if score >= THRESHOLD: | |
| matches.append({ | |
| "number": issue["number"], | |
| "title": issue["title"], | |
| "url": issue["url"], | |
| "state": issue["state"], | |
| "score": round(score * 100, 1) | |
| }) | |
| matches = sorted(matches, key=lambda x: x["score"], reverse=True)[:MAX_RESULTS] | |
| with open("matches.json", "w") as f: | |
| json.dump(matches, f) | |
| EOF | |
| - name: Comment and label (non-blocking) | |
| uses: actions/github-script@v6 | |
| with: | |
| script: | | |
| const fs = require('fs'); | |
| const matches = JSON.parse(fs.readFileSync('matches.json', 'utf8')); | |
| if (matches.length === 0) { | |
| core.notice('No semantic duplicates found.'); | |
| return; | |
| } | |
| const list = matches.map( | |
| (m, i) => | |
| `${i + 1}. **${m.title}** (#${m.number}, ${m.state})\n` + | |
| ` ${m.url}\n` + | |
| ` Similarity: ${m.score}%` | |
| ).join('\n\n'); | |
| const safe = async (fn) => { | |
| try { await fn(); } catch { | |
| core.notice('Skipped write action due to permissions'); | |
| } | |
| }; | |
| await safe(() => | |
| github.rest.issues.createComment({ | |
| owner: context.repo.owner, | |
| repo: context.repo.repo, | |
| issue_number: context.payload.issue.number, | |
| body: | |
| `⚠️ **Potential Duplicate Issue (Semantic Match)**\n\n` + | |
| `This issue appears semantically similar to the following open or closed issues:\n\n` + | |
| `${list}\n\n` + | |
| `Please review before proceeding.` | |
| }) | |
| ); | |
| await safe(() => | |
| github.rest.issues.addLabels({ | |
| owner: context.repo.owner, | |
| repo: context.repo.repo, | |
| issue_number: context.payload.issue.number, | |
| labels: ['duplicate'] | |
| }) | |
| ); |