✨ New Features: - AI-powered habit creation with natural language processing - HuggingFace transformers integration for sentiment analysis (tracked via Git LFS) - Advanced predictive analytics and behavioral insights - Voice & image input capabilities for hands-free habit tracking - Real-time notifications and community features - Plugin system with extensible architecture 🔧 Technical Improvements: - Comprehensive FastAPI backend with 30+ endpoints - React frontend with PWA capabilities - Advanced authentication with 2FA support - RBAC authorization system - Comprehensive security features (CSRF, rate limiting, audit logging) - Database migrations and health monitoring - Docker containerization support - Git LFS configured for large AI model files (2+ GB) 📚 Documentation & DevOps: - Complete deployment guides for multiple platforms - Professional README with feature highlights - GitHub Actions CI/CD workflows - Comprehensive API documentation - Security audit roadmap and compliance framework - Setup scripts for development environment 🧪 Testing & Quality: - Comprehensive test suite with 20+ test modules - Setup verification scripts - Working development environment with both backend and frontend - Health checks and monitoring systems 🌟 Ready for: - Portfolio showcasing - Community contributions - Production deployment - Professional presentation
203 lines
5.5 KiB
YAML
203 lines
5.5 KiB
YAML
name: CI/CD Pipeline
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on:
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push:
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branches: [master, develop]
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pull_request:
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branches: [master, develop]
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jobs:
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test-backend:
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runs-on: ubuntu-latest
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name: Backend Tests & AI Verification
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: "3.12"
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- name: Cache Python packages
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uses: actions/cache@v3
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with:
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path: ~/.cache/pip
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key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements*.txt') }}
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restore-keys: |
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${{ runner.os }}-pip-
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- name: Install system dependencies
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run: |
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sudo apt-get update
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sudo apt-get install -y portaudio19-dev libgl1-mesa-glx libglib2.0-0
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- name: Install Python dependencies
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run: |
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cd modern/backend
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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pip install -r requirements_ai.txt
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pip install pytest pytest-asyncio pytest-cov
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- name: Test AI Model Loading
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run: |
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cd modern/backend
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python -c "
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from huggingface_ai import HuggingFaceAI
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import asyncio
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async def test():
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ai = HuggingFaceAI()
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result = await ai.parse_habit_from_text('test habit')
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print('✅ AI models loaded successfully')
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print(f'Test result: {result}')
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asyncio.run(test())
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"
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- name: Run Backend Tests
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run: |
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cd modern/backend
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pytest tests/ -v --cov=. --cov-report=xml
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- name: Upload coverage to Codecov
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uses: codecov/codecov-action@v3
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with:
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file: ./modern/backend/coverage.xml
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flags: backend
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name: backend-coverage
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test-frontend:
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runs-on: ubuntu-latest
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name: Frontend Tests & Build
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steps:
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- uses: actions/checkout@v4
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- name: Set up Node.js
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uses: actions/setup-node@v4
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with:
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node-version: "18"
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cache: "npm"
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cache-dependency-path: "modern/frontend/package-lock.json"
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- name: Install dependencies
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run: |
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cd modern/frontend
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npm ci
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- name: Run linting
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run: |
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cd modern/frontend
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npm run lint
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- name: Run tests
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run: |
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cd modern/frontend
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npm test -- --coverage --watchAll=false
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- name: Build production bundle
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run: |
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cd modern/frontend
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npm run build
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- name: Upload build artifacts
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uses: actions/upload-artifact@v3
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with:
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name: frontend-build
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path: modern/frontend/dist/
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retention-days: 7
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security-scan:
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runs-on: ubuntu-latest
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name: Security Scanning
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steps:
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- uses: actions/checkout@v4
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- name: Run security audit (npm)
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run: |
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cd modern/frontend
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npm audit --audit-level=moderate
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- name: Run security audit (pip)
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run: |
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cd modern/backend
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pip install safety
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safety check -r requirements.txt -r requirements_ai.txt
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- name: Run CodeQL Analysis
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uses: github/codeql-action/init@v3
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with:
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languages: python, javascript
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- name: Autobuild
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uses: github/codeql-action/autobuild@v3
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- name: Perform CodeQL Analysis
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uses: github/codeql-action/analyze@v3
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deploy-preview:
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if: github.event_name == 'pull_request'
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needs: [test-backend, test-frontend]
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runs-on: ubuntu-latest
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name: Deploy Preview
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steps:
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- uses: actions/checkout@v4
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- name: Deploy to Vercel Preview
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uses: amondnet/vercel-action@v25
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with:
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vercel-token: ${{ secrets.VERCEL_TOKEN }}
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github-token: ${{ secrets.GITHUB_TOKEN }}
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vercel-args: "--prod"
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vercel-org-id: ${{ secrets.ORG_ID}}
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vercel-project-id: ${{ secrets.PROJECT_ID}}
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working-directory: ./modern/frontend
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deploy-production:
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if: github.ref == 'refs/heads/master' && github.event_name == 'push'
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needs: [test-backend, test-frontend, security-scan]
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runs-on: ubuntu-latest
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name: Deploy to Production
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steps:
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- uses: actions/checkout@v4
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- name: Deploy Frontend to Vercel
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uses: amondnet/vercel-action@v25
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with:
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vercel-token: ${{ secrets.VERCEL_TOKEN }}
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github-token: ${{ secrets.GITHUB_TOKEN }}
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vercel-args: "--prod"
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vercel-org-id: ${{ secrets.ORG_ID}}
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vercel-project-id: ${{ secrets.PROJECT_ID}}
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working-directory: ./modern/frontend
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- name: Deploy Backend to Railway
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run: |
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echo "Backend deployment would happen here"
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echo "Using Railway CLI or API"
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# railway deploy --service=liferpg-backend
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- name: Create Release
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if: github.event_name == 'push'
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uses: actions/create-release@v1
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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with:
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tag_name: v${{ github.run_number }}
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release_name: Release v${{ github.run_number }}
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body: |
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## ✨ What's New
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- Automated deployment from commit ${{ github.sha }}
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- Backend and frontend updated
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- AI models: HuggingFace Transformers
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## 🔧 Technical Details
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- Build: ${{ github.run_number }}
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- Commit: ${{ github.sha }}
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- Branch: ${{ github.ref }}
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draft: false
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prerelease: false
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