performance-profiling.yml

name: 🧠 Deep Performance Profiling

on:
  schedule:
    # Run nightly at 2 AM UTC
    - cron: '0 2 * * *'
  workflow_dispatch:
    inputs:
      reason:
        description: 'Reason for running profiling'
        required: false
        default: 'Manual performance analysis'
      profile_duration:
        description: 'Profiling duration in seconds'
        required: false
        default: '30'
        type: choice
        options:
          - '30'
          - '60'
          - '120'

permissions:
  contents: read
  actions: write

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

env:
  NODE_VERSION: '18'

jobs:
  resource-profiling:
    name: 🧠 CPU & Memory Profiling
    runs-on: ubuntu-latest
    timeout-minutes: 20

    steps:
      - name: 📥 Checkout code
        uses: actions/checkout@v4

      - name: 📦 Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: ${{ env.NODE_VERSION }}
          cache: 'npm'

      - name: 📦 Install dependencies
        run: npm ci

      - name: 🧠 Install profiling tools
        run: |
          npm install -g clinic@latest
          npm install -g autocannon@latest
          npm install -g clinic-flame@latest

      - name: 🏗️ Build application
        run: npm run build
        env:
          NEXT_PUBLIC_SUPABASE_URL: ${{ secrets.NEXT_PUBLIC_SUPABASE_URL }}
          NEXT_PUBLIC_SUPABASE_ANON_KEY: ${{ secrets.NEXT_PUBLIC_SUPABASE_ANON_KEY }}

      - name: 🧠 Deep CPU Profiling
        run: |
          echo "🔥 Starting CPU flame graph profiling..."
          DURATION=${{ github.event.inputs.profile_duration || '30' }}
          
          # CPU profiling with flame graphs
          timeout $((DURATION + 30))s clinic flame --on-port "autocannon -c10 -d${DURATION} http://localhost:3000" -- npm start || true
          
          # Doctor profiling for memory/event loop
          echo "🏥 Starting clinic doctor profiling..."
          timeout $((DURATION + 30))s clinic doctor --on-port "autocannon -c5 -d${DURATION} http://localhost:3000" -- npm start || true

      - name: 📊 Generate profiling summary
        run: |
          echo "## 🧠 Profiling Summary" > profiling-summary.md
          echo "" >> profiling-summary.md
          echo "**Duration:** ${{ github.event.inputs.profile_duration || '30' }} seconds" >> profiling-summary.md
          echo "**Reason:** ${{ github.event.inputs.reason || 'Scheduled analysis' }}" >> profiling-summary.md
          echo "**Branch:** ${{ github.ref_name }}" >> profiling-summary.md
          echo "**Commit:** ${{ github.sha }}" >> profiling-summary.md
          echo "" >> profiling-summary.md
          
          # Check if reports were generated
          if [ -f ".clinic/doctor.html" ]; then
            echo "✅ Doctor report generated" >> profiling-summary.md
          fi
          
          if [ -f ".clinic/flame.html" ]; then
            echo "✅ Flame graph generated" >> profiling-summary.md
          fi
          
          cat profiling-summary.md

      - name: 📊 Upload comprehensive profiling reports
        uses: actions/upload-artifact@v4
        if: always()
        with:
          name: deep-profiling-reports-${{ github.run_number }}
          path: |
            .clinic/
            profiling-summary.md
          retention-days: 30

      - name: 💬 Post profiling results (if manual)
        if: github.event_name == 'workflow_dispatch'
        uses: actions/github-script@v7
        with:
          script: |
            const summary = `## 🧠 Deep Performance Profiling Complete
            
            **Trigger:** Manual run
            **Reason:** ${{ github.event.inputs.reason }}
            **Duration:** ${{ github.event.inputs.profile_duration || '30' }}s
            **Branch:** ${{ github.ref_name }}
            
            📊 **Artifacts Generated:**
            - CPU Flame Graphs
            - Memory Usage Analysis  
            - Event Loop Monitoring
            - Performance Recommendations
            
            🔗 **View Results:** [Download Artifacts](${context.payload.repository.html_url}/actions/runs/${context.runId})
            
            _Deep profiling helps identify performance bottlenecks and optimization opportunities._`;
            
            console.log(summary);