66 lines
1.9 KiB
YAML
66 lines
1.9 KiB
YAML
name: CI Monitor
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on:
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schedule:
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- cron: '0 */12 * * *'
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workflow_dispatch:
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inputs:
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limit:
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description: 'Number of CI runs to analyze'
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required: false
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default: '1000'
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type: string
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concurrency:
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group: ci-monitor-${{ github.ref }}
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cancel-in-progress: true
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permissions:
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contents: write
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actions: read
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jobs:
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ci-monitor:
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if: github.repository == 'sgl-project/sglang'|| github.event_name == 'pull_request'
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.9'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install requests matplotlib pandas
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- name: Run CI Analysis
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env:
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GITHUB_TOKEN: ${{ secrets.GH_PAT_FOR_NIGHTLY_CI }}
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PYTHONUNBUFFERED: 1
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PYTHONIOENCODING: utf-8
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run: |
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cd scripts/ci_monitor
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python ci_analyzer.py --token $GITHUB_TOKEN --limit ${{ github.event.inputs.limit || '1000' }} --output ci_analysis_$(date +%Y%m%d_%H%M%S).json
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- name: Run Performance Analysis
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env:
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GITHUB_TOKEN: ${{ secrets.GH_PAT_FOR_NIGHTLY_CI }}
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PYTHONUNBUFFERED: 1
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PYTHONIOENCODING: utf-8
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run: |
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cd scripts/ci_monitor
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python ci_analyzer_perf.py --token $GITHUB_TOKEN --limit ${{ github.event.inputs.limit || '1000' }} --output-dir performance_tables_$(date +%Y%m%d_%H%M%S) --upload-to-github
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- name: Upload Analysis Results
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uses: actions/upload-artifact@v4
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with:
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name: ci-analysis-results-${{ github.run_number }}
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path: |
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scripts/ci_monitor/ci_analysis_*.json
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scripts/ci_monitor/performance_tables_*
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retention-days: 30
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