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https://github.com/anthropics/claude-code-action.git
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e600a516c7
Add support for Agent SDK structured outputs. New input: json_schema - JSON schema for validated outputs Auto-sets GitHub Action outputs for each field Security: - Reserved output protection (prevents shadowing) - 1MB output size limits enforced - Output key format validation - Objects/arrays >1MB skipped (not truncated to invalid JSON) Tests: - 26 unit tests - 5 integration tests - 480 tests passing Docs: https://docs.claude.com/en/docs/agent-sdk/structured-outputs 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
114 lines
4.1 KiB
YAML
114 lines
4.1 KiB
YAML
name: Auto-Retry Flaky Tests
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# This example demonstrates using structured outputs to detect flaky test failures
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# and automatically retry them, reducing noise from intermittent failures.
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#
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# Use case: When CI fails, automatically determine if it's likely flaky and retry if so.
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on:
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workflow_run:
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workflows: ["CI"]
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types: [completed]
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permissions:
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contents: read
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actions: write
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jobs:
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detect-flaky:
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runs-on: ubuntu-latest
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if: ${{ github.event.workflow_run.conclusion == 'failure' }}
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Detect flaky test failures
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id: detect
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uses: anthropics/claude-code-action@main
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with:
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anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
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prompt: |
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The CI workflow failed: ${{ github.event.workflow_run.html_url }}
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Check the logs: gh run view ${{ github.event.workflow_run.id }} --log-failed
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Determine if this looks like a flaky test failure by checking for:
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- Timeout errors
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- Race conditions
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- Network errors
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- "Expected X but got Y" intermittent failures
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- Tests that passed in previous commits
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Return:
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- is_flaky: true if likely flaky, false if real bug
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- confidence: number 0-1 indicating confidence level
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- summary: brief one-sentence explanation
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json_schema: |
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{
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"type": "object",
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"properties": {
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"is_flaky": {
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"type": "boolean",
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"description": "Whether this appears to be a flaky test failure"
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},
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"confidence": {
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"type": "number",
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"minimum": 0,
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"maximum": 1,
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"description": "Confidence level in the determination"
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},
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"summary": {
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"type": "string",
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"description": "One-sentence explanation of the failure"
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}
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},
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"required": ["is_flaky", "confidence", "summary"]
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}
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# Auto-retry only if flaky AND high confidence (>= 0.7)
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- name: Retry flaky tests
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if: |
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steps.detect.outputs.is_flaky == 'true' &&
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steps.detect.outputs.confidence >= '0.7'
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env:
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GH_TOKEN: ${{ github.token }}
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run: |
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echo "🔄 Flaky test detected (confidence: ${{ steps.detect.outputs.confidence }})"
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echo "Summary: ${{ steps.detect.outputs.summary }}"
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echo ""
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echo "Triggering automatic retry..."
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gh workflow run "${{ github.event.workflow_run.name }}" \
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--ref "${{ github.event.workflow_run.head_branch }}"
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# Low confidence flaky detection - skip retry
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- name: Low confidence detection
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if: |
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steps.detect.outputs.is_flaky == 'true' &&
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steps.detect.outputs.confidence < '0.7'
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run: |
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echo "⚠️ Possible flaky test but confidence too low (${{ steps.detect.outputs.confidence }})"
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echo "Not retrying automatically - manual review recommended"
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# Comment on PR if this was a PR build
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- name: Comment on PR
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if: github.event.workflow_run.event == 'pull_request'
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env:
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GH_TOKEN: ${{ github.token }}
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run: |
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pr_number=$(gh pr list --head "${{ github.event.workflow_run.head_branch }}" --json number --jq '.[0].number')
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if [ -n "$pr_number" ]; then
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gh pr comment "$pr_number" --body "$(cat <<EOF
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## ${{ steps.detect.outputs.is_flaky == 'true' && '🔄 Flaky Test Detected' || '❌ Test Failure' }}
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**Analysis**: ${{ steps.detect.outputs.summary }}
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**Confidence**: ${{ steps.detect.outputs.confidence }}
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${{ steps.detect.outputs.is_flaky == 'true' && '✅ Automatically retrying the workflow' || '⚠️ This appears to be a real bug - manual intervention needed' }}
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[View workflow run](${{ github.event.workflow_run.html_url }})
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EOF
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)"
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fi
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