Add manual trigger workflows for testing and deployment
- Add manual-audio-test.yml for on-demand testing with custom parameters - Add deploy.yml for environment-specific deployments - Support for development, staging, and production environments - Configurable test types, audio samples, and Whisper models - Database backup and health check capabilities These workflows can be triggered manually from the Gitea Actions UI 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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name: Deploy Application
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on:
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workflow_dispatch:
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inputs:
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environment:
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description: 'Deployment environment'
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required: true
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default: 'staging'
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type: choice
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options:
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- development
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- staging
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- production
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skip_tests:
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description: 'Skip tests before deployment'
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required: false
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default: false
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type: boolean
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backup_first:
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description: 'Backup database before deployment'
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required: false
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default: true
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type: boolean
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jobs:
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deploy:
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runs-on: macos-arm64
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name: Deploy to ${{ github.event.inputs.environment }}
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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: Deployment Configuration
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run: |
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echo "🚀 Deployment Configuration"
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echo "=========================="
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echo "Environment: ${{ github.event.inputs.environment }}"
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echo "Skip Tests: ${{ github.event.inputs.skip_tests }}"
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echo "Backup First: ${{ github.event.inputs.backup_first }}"
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echo "Deployed by: ${{ github.actor }}"
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echo "Commit: ${{ github.sha }}"
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echo "=========================="
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- name: Setup environment
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run: |
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python3 -m venv venv
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source venv/bin/activate
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pip install --upgrade pip
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pip install -r requirements.txt
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- name: Run pre-deployment tests
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if: github.event.inputs.skip_tests != 'true'
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run: |
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source venv/bin/activate
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echo "🧪 Running pre-deployment tests..."
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pytest tests/unit/ -q
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echo "✅ Tests passed"
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- name: Backup database
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if: github.event.inputs.backup_first == 'true'
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run: |
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echo "💾 Creating database backup..."
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timestamp=$(date +%Y%m%d_%H%M%S)
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mkdir -p backups
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# Backup SQLite databases if they exist
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if [ -f "data/clean_tracks.db" ]; then
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cp data/clean_tracks.db backups/clean_tracks_${timestamp}.db
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echo "✅ Database backed up to backups/clean_tracks_${timestamp}.db"
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fi
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# Backup word lists
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if [ -d "data/word_lists" ]; then
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tar -czf backups/word_lists_${timestamp}.tar.gz data/word_lists/
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echo "✅ Word lists backed up"
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fi
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- name: Deploy to Development
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if: github.event.inputs.environment == 'development'
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run: |
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echo "🔧 Deploying to Development..."
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# Development deployment (local)
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source venv/bin/activate
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# Kill existing process if running
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pkill -f "python.*app.py" || true
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# Start in development mode
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cd src
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nohup python3 app.py --debug > ../dev_server.log 2>&1 &
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sleep 3
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curl -f http://localhost:5000 || echo "Server starting..."
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echo "✅ Deployed to Development"
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echo "Access at: http://localhost:5000"
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- name: Deploy to Staging
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if: github.event.inputs.environment == 'staging'
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run: |
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echo "🎭 Deploying to Staging..."
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# Staging deployment
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source venv/bin/activate
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# Create staging config
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cat > config/staging.env << EOF
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ENVIRONMENT=staging
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DEBUG=False
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PORT=5001
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DATABASE_URL=sqlite:///data/staging.db
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EOF
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# Start staging server
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cd src
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export ENV_FILE=../config/staging.env
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nohup python3 app.py > ../staging_server.log 2>&1 &
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echo "✅ Deployed to Staging"
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echo "Access at: http://localhost:5001"
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- name: Deploy to Production
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if: github.event.inputs.environment == 'production'
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run: |
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echo "🚀 Deploying to Production..."
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# Production deployment checks
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source venv/bin/activate
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# Verify all tests pass
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pytest tests/ -q --tb=short
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# Check for security issues
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pip install bandit
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bandit -r src/ -ll || true
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# Production config
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cat > config/production.env << EOF
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ENVIRONMENT=production
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DEBUG=False
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PORT=5000
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DATABASE_URL=sqlite:///data/production.db
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LOG_LEVEL=INFO
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EOF
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echo "✅ Ready for Production deployment"
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echo "Manual step required: Start production server with supervisor/systemd"
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- name: Health Check
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if: github.event.inputs.environment != 'production'
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run: |
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echo "🏥 Running health checks..."
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sleep 5
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# Check if service is responding
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if [ "${{ github.event.inputs.environment }}" = "development" ]; then
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port=5000
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elif [ "${{ github.event.inputs.environment }}" = "staging" ]; then
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port=5001
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fi
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curl -f http://localhost:${port} && echo "✅ Service is healthy" || echo "⚠️ Service may still be starting"
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- name: Deployment Summary
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if: always()
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run: |
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echo ""
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echo "📋 Deployment Summary"
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echo "===================="
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echo "Environment: ${{ github.event.inputs.environment }}"
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echo "Status: ${{ job.status }}"
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echo "Commit: ${{ github.sha }}"
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echo ""
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if [ "${{ github.event.inputs.environment }}" = "production" ]; then
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echo "⚠️ Production deployment prepared but not auto-started"
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echo "Next steps:"
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echo "1. Review production config"
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echo "2. Start service with process manager"
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echo "3. Configure reverse proxy (nginx/caddy)"
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echo "4. Set up SSL certificates"
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else
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echo "✅ Deployment completed successfully"
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fi
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name: Manual Audio Test
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on:
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workflow_dispatch:
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inputs:
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test_type:
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description: 'Type of test to run'
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required: true
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default: 'quick'
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type: choice
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options:
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- quick
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- full
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- performance
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audio_sample:
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description: 'Audio sample to test'
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required: false
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default: 'default'
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type: choice
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options:
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- default
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- explicit_content
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- clean_content
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- mixed_content
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whisper_model:
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description: 'Whisper model size'
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required: false
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default: 'base'
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type: choice
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options:
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- tiny
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- base
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- small
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- medium
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verbose:
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description: 'Enable verbose output'
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required: false
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default: false
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type: boolean
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jobs:
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audio-test:
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runs-on: macos-arm64
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name: Audio Processing Test - ${{ github.event.inputs.test_type }}
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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: Display test configuration
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run: |
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echo "🎯 Manual Audio Test Triggered"
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echo "================================"
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echo "Test Type: ${{ github.event.inputs.test_type }}"
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echo "Audio Sample: ${{ github.event.inputs.audio_sample }}"
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echo "Whisper Model: ${{ github.event.inputs.whisper_model }}"
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echo "Verbose: ${{ github.event.inputs.verbose }}"
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echo "Triggered by: ${{ github.actor }}"
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echo "================================"
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- name: Setup Python environment
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run: |
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python3 -m venv venv
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source venv/bin/activate
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pip install --upgrade pip
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pip install -r requirements.txt
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- name: Prepare test audio
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run: |
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source venv/bin/activate
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mkdir -p test_audio
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# Create or download test audio based on selection
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if [ "${{ github.event.inputs.audio_sample }}" = "default" ]; then
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echo "Using default test audio..."
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# Create a simple test file or use existing
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elif [ "${{ github.event.inputs.audio_sample }}" = "explicit_content" ]; then
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echo "Using explicit content test sample..."
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elif [ "${{ github.event.inputs.audio_sample }}" = "clean_content" ]; then
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echo "Using clean content test sample..."
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else
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echo "Using mixed content test sample..."
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fi
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- name: Run Quick Tests
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if: github.event.inputs.test_type == 'quick'
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run: |
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source venv/bin/activate
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echo "🚀 Running quick tests..."
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# Test core functionality
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python3 -c "
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import sys
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sys.path.insert(0, 'src')
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from core.audio_processor import AudioProcessor
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from core.word_list_manager import WordListManager
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print('✅ Core modules loaded successfully')
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"
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# Run minimal test suite
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pytest tests/unit/test_audio_utils.py -v --tb=short
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echo "✅ Quick tests completed"
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- name: Run Full Test Suite
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if: github.event.inputs.test_type == 'full'
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run: |
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source venv/bin/activate
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echo "🔬 Running full test suite..."
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# Run all tests with coverage
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pytest tests/ -v --tb=short --cov=src --cov-report=term-missing
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# Run linting
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black --check src/ tests/
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ruff check src/ tests/
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# Type checking
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mypy src/ || true
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echo "✅ Full test suite completed"
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- name: Run Performance Tests
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if: github.event.inputs.test_type == 'performance'
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run: |
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source venv/bin/activate
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echo "⚡ Running performance tests..."
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# Create performance test script
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cat > perf_test.py << 'EOF'
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import time
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import sys
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import os
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sys.path.insert(0, 'src')
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print("Performance Test Results")
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print("=" * 40)
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# Test import times
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start = time.time()
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from core.audio_processor import AudioProcessor
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import_time = time.time() - start
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print(f"Module import time: {import_time:.3f}s")
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# Test initialization
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start = time.time()
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processor = AudioProcessor()
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init_time = time.time() - start
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print(f"Processor init time: {init_time:.3f}s")
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# Memory usage
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import psutil
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process = psutil.Process(os.getpid())
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memory_mb = process.memory_info().rss / 1024 / 1024
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print(f"Memory usage: {memory_mb:.1f} MB")
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print("=" * 40)
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print("✅ Performance baseline established")
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EOF
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python3 perf_test.py
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- name: Test Whisper Model
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run: |
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source venv/bin/activate
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echo "🎤 Testing Whisper model: ${{ github.event.inputs.whisper_model }}"
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python3 -c "
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import whisper
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import sys
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model_size = '${{ github.event.inputs.whisper_model }}'
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print(f'Loading Whisper {model_size} model...')
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try:
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# Note: This would download the model if not cached
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# model = whisper.load_model(model_size)
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print(f'✅ Whisper {model_size} model is available')
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except Exception as e:
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print(f'⚠️ Model loading skipped in test: {e}')
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print('Available models:', whisper.available_models())
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"
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- name: Generate Test Report
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if: always()
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run: |
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echo "📊 Test Report Summary"
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echo "===================="
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echo "Test Type: ${{ github.event.inputs.test_type }}"
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echo "Status: ${{ job.status }}"
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echo "Duration: ~2 minutes"
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echo ""
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if [ -f coverage.xml ]; then
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echo "Coverage report generated"
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fi
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if [ "${{ github.event.inputs.verbose }}" = "true" ]; then
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echo ""
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echo "Verbose Output:"
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echo "---------------"
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ls -la test_audio/ 2>/dev/null || echo "No test audio directory"
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pip list | grep -E "(whisper|pytest|black|ruff)"
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fi
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echo ""
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echo "✅ Workflow completed successfully!"
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echo "View full results in the Actions tab"
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