Remove triage workflows
This commit is contained in:
Ben Meadors
@@ -1,213 +0,0 @@
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name: Issue Triage (Models)
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on:
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issues:
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types: [opened]
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permissions:
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issues: write
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models: read
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concurrency:
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group: ${{ github.workflow }}-${{ github.event.issue.number }}
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cancel-in-progress: true
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jobs:
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triage:
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if: ${{ github.repository == 'meshtastic/firmware' && github.event.issue.user.type != 'Bot' }}
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runs-on: ubuntu-latest
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steps:
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# ─────────────────────────────────────────────────────────────────────────
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# Step 1: Quality check (spam/AI-slop detection) - runs first, exits early if spam
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# ─────────────────────────────────────────────────────────────────────────
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- name: Detect spam or low-quality content
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uses: actions/ai-inference@v2
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id: quality
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continue-on-error: true
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with:
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max-tokens: 20
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prompt: |
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Is this GitHub issue spam, AI-generated slop, or low quality?
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Title: ${{ github.event.issue.title }}
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Body: ${{ github.event.issue.body }}
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Respond with exactly one of: spam, ai-generated, needs-review, ok
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system-prompt: You detect spam and low-quality contributions. Be conservative - only flag obvious spam or AI slop.
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model: openai/gpt-4o-mini
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- name: Apply quality label if needed
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if: steps.quality.outputs.response != '' && steps.quality.outputs.response != 'ok'
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uses: actions/github-script@v9
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env:
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QUALITY_LABEL: ${{ steps.quality.outputs.response }}
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with:
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script: |
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const label = (process.env.QUALITY_LABEL || '').trim().toLowerCase();
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const labelMeta = {
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'spam': { color: 'd73a4a', description: 'Possible spam' },
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'ai-generated': { color: 'fbca04', description: 'Possible AI-generated low-quality content' },
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'needs-review': { color: 'f9d0c4', description: 'Needs human review' },
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};
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const meta = labelMeta[label];
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if (!meta) return;
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// Ensure label exists
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try {
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await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
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} catch (e) {
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if (e.status !== 404) throw e;
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await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
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}
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// Apply label
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await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.issue.number, labels: [label] });
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// Set output to skip remaining steps
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core.setOutput('is_spam', 'true');
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# ─────────────────────────────────────────────────────────────────────────
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# Step 2: Duplicate detection - only if not spam
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# ─────────────────────────────────────────────────────────────────────────
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- name: Detect duplicate issues
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if: steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == ''
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uses: pelikhan/action-genai-issue-dedup@bdb3b5d9451c1090ffcdf123d7447a5e7c7a2528 # v0.0.19
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with:
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github_token: ${{ secrets.GITHUB_TOKEN }}
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# ─────────────────────────────────────────────────────────────────────────
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# Step 3: Completeness check + auto-labeling (combined into one AI call)
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# ─────────────────────────────────────────────────────────────────────────
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- name: Determine if completeness check should be skipped
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if: steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == ''
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uses: actions/github-script@v9
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id: check-skip
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with:
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script: |
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const title = (context.payload.issue.title || '').toLowerCase();
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const labels = (context.payload.issue.labels || []).map(label => label.name);
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const hasFeatureRequest = title.includes('feature request');
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const hasEnhancement = labels.includes('enhancement');
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const shouldSkip = hasFeatureRequest && hasEnhancement;
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core.setOutput('should_skip', shouldSkip ? 'true' : 'false');
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- name: Analyze issue completeness and determine labels
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if: (steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == '') && steps.check-skip.outputs.should_skip != 'true'
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uses: actions/ai-inference@v2
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id: analysis
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continue-on-error: true
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with:
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prompt: |
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Analyze this GitHub issue for completeness and determine if it needs labels.
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IMPORTANT: Distinguish between:
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- Device/firmware bugs (crashes, reboots, lockups, radio/GPS/display/power issues) - these need device logs
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- Build/release/packaging issues (missing files, CI failures, download problems) - these do NOT need device logs
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- Documentation or website issues - these do NOT need device logs
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If this is a device/firmware bug, request device logs and explain how to get them:
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Web Flasher logs:
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- Go to https://flasher.meshtastic.org
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- Connect the device via USB and click Connect
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- Open the device console/log output, reproduce the problem, then copy/download and attach/paste the logs
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Meshtastic CLI logs:
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- Run: meshtastic --port <serial-port> --noproto
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- Reproduce the problem, then copy/paste the terminal output
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Also request key context if missing: device model/variant, firmware version, region, steps to reproduce, expected vs actual.
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Respond ONLY with valid JSON (no markdown, no code fences):
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{"complete": true, "comment": "", "label": "none"}
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OR
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{"complete": false, "comment": "Your helpful comment", "label": "needs-logs"}
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Use "needs-logs" ONLY if this is a device/firmware bug AND no logs are attached.
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Use "needs-info" if basic info like firmware version or steps to reproduce are missing.
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Use "none" if the issue is complete, is a feature request, or is a build/CI/packaging issue.
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Title: ${{ github.event.issue.title }}
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Body: ${{ github.event.issue.body }}
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system-prompt: You are a helpful assistant that triages GitHub issues. Be conservative with labels. Only request device logs for actual device/firmware bugs, not for build/release/CI issues.
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model: openai/gpt-4o-mini
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- name: Process analysis result
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if: (steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == '') && steps.check-skip.outputs.should_skip != 'true' && steps.analysis.outputs.response != ''
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uses: actions/github-script@v9
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id: process
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env:
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AI_RESPONSE: ${{ steps.analysis.outputs.response }}
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with:
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script: |
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let raw = (process.env.AI_RESPONSE || '').trim();
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// Strip markdown code fences if present
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raw = raw.replace(/^```(?:json)?\s*/i, '').replace(/\s*```$/i, '').trim();
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let complete = true;
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let comment = '';
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let label = 'none';
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try {
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const parsed = JSON.parse(raw);
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complete = !!parsed.complete;
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comment = (parsed.comment ?? '').toString().trim();
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label = (parsed.label ?? 'none').toString().trim().toLowerCase();
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} catch {
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// If JSON parse fails, log warning and don't comment (avoid posting raw JSON)
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console.log('Failed to parse AI response as JSON:', raw);
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complete = true;
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comment = '';
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label = 'none';
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}
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// Validate label
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const allowedLabels = new Set(['needs-logs', 'needs-info', 'none']);
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if (!allowedLabels.has(label)) label = 'none';
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// Only comment if we have a valid parsed comment (not raw JSON)
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const shouldComment = !complete && comment.length > 0 && !comment.startsWith('{');
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core.setOutput('should_comment', shouldComment ? 'true' : 'false');
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core.setOutput('comment_body', comment);
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core.setOutput('label', label);
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- name: Apply triage label
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if: steps.process.outputs.label != '' && steps.process.outputs.label != 'none'
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uses: actions/github-script@v9
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env:
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LABEL_NAME: ${{ steps.process.outputs.label }}
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with:
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script: |
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const label = process.env.LABEL_NAME;
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const labelMeta = {
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'needs-logs': { color: 'cfd3d7', description: 'Device logs requested for triage' },
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'needs-info': { color: 'f9d0c4', description: 'More information requested for triage' },
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};
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const meta = labelMeta[label];
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if (!meta) return;
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// Ensure label exists
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try {
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await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
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} catch (e) {
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if (e.status !== 404) throw e;
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await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
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}
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// Apply label
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await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.issue.number, labels: [label] });
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- name: Comment on issue
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if: steps.process.outputs.should_comment == 'true'
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uses: actions/github-script@v9
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env:
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COMMENT_BODY: ${{ steps.process.outputs.comment_body }}
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with:
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script: |
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await github.rest.issues.createComment({
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owner: context.repo.owner,
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repo: context.repo.repo,
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issue_number: context.payload.issue.number,
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body: process.env.COMMENT_BODY
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});
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@@ -1,139 +0,0 @@
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name: PR Triage (Models)
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on:
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pull_request_target:
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types: [opened]
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permissions:
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pull-requests: write
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issues: write
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models: read
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concurrency:
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group: ${{ github.workflow }}-${{ github.event.pull_request.number }}
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cancel-in-progress: true
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jobs:
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triage:
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if: ${{ github.repository == 'meshtastic/firmware' && github.event.pull_request.user.type != 'Bot' }}
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runs-on: ubuntu-latest
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steps:
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# ─────────────────────────────────────────────────────────────────────────
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# Step 1: Check if PR already has automation/type labels (skip if so)
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# ─────────────────────────────────────────────────────────────────────────
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- name: Check existing labels
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uses: actions/github-script@v9
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id: check-labels
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with:
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script: |
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const skipLabels = new Set(['automation']);
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const typeLabels = new Set(['bugfix', 'hardware-support', 'enhancement', 'dependencies', 'submodules', 'github_actions', 'trunk', 'cleanup']);
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const prLabels = context.payload.pull_request.labels.map(l => l.name);
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const shouldSkipAll = prLabels.some(l => skipLabels.has(l));
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const hasTypeLabel = prLabels.some(l => typeLabels.has(l));
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core.setOutput('skip_all', shouldSkipAll ? 'true' : 'false');
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core.setOutput('has_type_label', hasTypeLabel ? 'true' : 'false');
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# ─────────────────────────────────────────────────────────────────────────
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# Step 2: Quality check (spam/AI-slop detection)
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# ─────────────────────────────────────────────────────────────────────────
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- name: Detect spam or low-quality content
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if: steps.check-labels.outputs.skip_all != 'true'
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uses: actions/ai-inference@v2
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id: quality
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continue-on-error: true
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with:
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max-tokens: 20
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prompt: |
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Is this GitHub pull request spam, AI-generated slop, or low quality?
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Title: ${{ github.event.pull_request.title }}
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Body: ${{ github.event.pull_request.body }}
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Respond with exactly one of: spam, ai-generated, needs-review, ok
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system-prompt: You detect spam and low-quality contributions. Be conservative - only flag obvious spam or AI slop.
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model: openai/gpt-4o-mini
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- name: Apply quality label if needed
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if: steps.check-labels.outputs.skip_all != 'true' && steps.quality.outputs.response != '' && steps.quality.outputs.response != 'ok'
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uses: actions/github-script@v9
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id: quality-label
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env:
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QUALITY_LABEL: ${{ steps.quality.outputs.response }}
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with:
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script: |
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const label = (process.env.QUALITY_LABEL || '').trim().toLowerCase();
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const labelMeta = {
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'spam': { color: 'd73a4a', description: 'Possible spam' },
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'ai-generated': { color: 'fbca04', description: 'Possible AI-generated low-quality content' },
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'needs-review': { color: 'f9d0c4', description: 'Needs human review' },
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};
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const meta = labelMeta[label];
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if (!meta) return;
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// Ensure label exists
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try {
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await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
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} catch (e) {
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if (e.status !== 404) throw e;
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await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
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}
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// Apply label
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await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.pull_request.number, labels: [label] });
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core.setOutput('is_spam', 'true');
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# ─────────────────────────────────────────────────────────────────────────
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# Step 3: Auto-label PR type (bugfix/hardware-support/enhancement)
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# Only skip for spam/ai-generated; still classify needs-review PRs
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# ─────────────────────────────────────────────────────────────────────────
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- name: Classify PR for labeling
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if: steps.check-labels.outputs.skip_all != 'true' && steps.check-labels.outputs.has_type_label != 'true' && steps.quality.outputs.response != 'spam' && steps.quality.outputs.response != 'ai-generated'
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uses: actions/ai-inference@v2
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id: classify
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continue-on-error: true
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with:
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max-tokens: 30
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prompt: |
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Classify this pull request into exactly one category.
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Return exactly one of: bugfix, hardware-support, enhancement
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Use bugfix if it fixes a bug, crash, or incorrect behavior.
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Use hardware-support if it adds or improves support for a specific hardware device/variant.
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Use enhancement if it adds a new feature, improves performance, or refactors code.
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Title: ${{ github.event.pull_request.title }}
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Body: ${{ github.event.pull_request.body }}
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system-prompt: You classify pull requests into categories. Be conservative and pick the most appropriate single label.
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model: openai/gpt-4o-mini
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- name: Apply type label
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if: steps.check-labels.outputs.skip_all != 'true' && steps.check-labels.outputs.has_type_label != 'true' && steps.classify.outputs.response != ''
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uses: actions/github-script@v9
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env:
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TYPE_LABEL: ${{ steps.classify.outputs.response }}
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with:
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script: |
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const label = (process.env.TYPE_LABEL || '').trim().toLowerCase();
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const labelMeta = {
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'bugfix': { color: 'd73a4a', description: 'Bug fix' },
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'hardware-support': { color: '0e8a16', description: 'Hardware support addition or improvement' },
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'enhancement': { color: 'a2eeef', description: 'New feature or enhancement' },
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};
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const meta = labelMeta[label];
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if (!meta) return;
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// Ensure label exists
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try {
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await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
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} catch (e) {
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if (e.status !== 404) throw e;
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await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
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}
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// Apply label
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await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.pull_request.number, labels: [label] });
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Reference in New Issue
Block a user