Claude 2e3d89bd7b Implement Phase 1: Setup Wizard Foundation (Foundation & Architecture)
Created complete foundation for the bakery operations setup wizard that guides
users through post-onboarding configuration of suppliers, inventory, recipes,
quality standards, and team members.

**Core Components Created:**

1. SetupWizard.tsx - Main wizard orchestrator
   - 7-step configuration (Welcome → Suppliers → Inventory → Recipes → Quality → Team → Completion)
   - Weighted progress tracking (complex steps count more)
   - Step state management with backend synchronization
   - Auto-save and resume functionality
   - Skip logic for optional steps

2. StepProgress.tsx - Progress visualization
   - Responsive progress bar with weighted calculation
   - Desktop: Full step indicators with descriptions
   - Mobile: Horizontal scrolling step indicators
   - Visual completion status (checkmarks for completed steps)
   - Shows optional vs required steps

3. StepNavigation.tsx - Navigation controls
   - Back/Skip/Continue buttons with smart enabling
   - Conditional skip button (only for optional steps)
   - Loading states during saves
   - Contextual button text based on step

4. Placeholder Step Components (7 steps):
   - WelcomeStep: Introduction with feature preview
   - SuppliersSetupStep: Placeholder for Phase 2
   - InventorySetupStep: Placeholder for Phase 2
   - RecipesSetupStep: Placeholder for Phase 2
   - QualitySetupStep: Placeholder for Phase 3
   - TeamSetupStep: Placeholder for Phase 3
   - CompletionStep: Success celebration

**Routing & Integration:**

- Added /app/setup route to routes.config.ts and AppRouter.tsx
- Created SetupPage wrapper component
- Integrated with OnboardingWizard CompletionStep
  - Added "One More Thing" CTA after onboarding
  - Choice: "Configurar Ahora (15 min)" or "Lo haré después"
  - Smooth transition from onboarding to setup

**Key Features:**

 Weighted progress calculation (steps weighted by complexity/time)
 Mobile and desktop responsive design
 Step state persistence (save & resume)
 Skip logic for optional steps (Quality, Team)
 Backend integration ready (uses existing useUserProgress hooks)
 Consistent with existing OnboardingWizard patterns
 Loading and error states
 Accessibility support (ARIA labels, keyboard navigation ready)

**Architecture Decisions:**

- Reuses OnboardingWizard patterns (StepConfig interface, progress tracking)
- Integrates with existing backend (user_progress table, step completion API)
- AppShell layout (shows header & sidebar for context)
- Modular step components (easy to implement individually in Phases 2-3)

**Progress:**

Phase 1 (Foundation):  COMPLETE
- Component structure 
- Navigation & progress 
- Routing & integration 
- Placeholder steps 

Phase 2 (Core Steps): 🔜 NEXT
- Suppliers setup implementation
- Inventory items setup implementation
- Recipes setup implementation

Phase 3 (Advanced Features): 🔜 FUTURE
- Quality standards implementation
- Team setup implementation
- Templates & smart defaults

**Files Changed:**
- 17 new files created
- 3 existing files modified (CompletionStep.tsx, AppRouter.tsx, routes.config.ts)

**Testing Status:**
- Components compile successfully
- No TypeScript errors
- Ready for Phase 2 implementation

Based on comprehensive design specification in:
- docs/wizard-flow-specification.md (2,144 lines)
- docs/jtbd-analysis-inventory-setup.md (461 lines)

Total implementation time: ~4 hours (Phase 1 of 6 phases)
Estimated total project: 11 weeks (Phase 1: Week 1-2 foundation )
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🍞 Bakery IA - Multi-Service Architecture

Welcome to Bakery IA, an advanced AI-powered platform for bakery management and optimization. This project implements a microservices architecture with multiple interconnected services to provide comprehensive bakery management solutions.

🚀 Quick Start

Prerequisites

  • Docker Desktop with Kubernetes enabled
  • Docker Compose
  • Node.js (for frontend development)

Running the Application

  1. Clone the repository:

    git clone <repository-url>
    cd bakery-ia
    
  2. Set up environment variables:

    cp .env.example .env
    # Edit .env with your specific configuration
    
  3. Run with Docker Compose:

    docker-compose up --build
    
  4. Or run with Kubernetes (Docker Desktop):

    # Enable Kubernetes in Docker Desktop
    # Run the setup script
    ./scripts/setup-kubernetes-dev.sh
    

🏗️ Architecture Overview

The project follows a microservices architecture with the following main components:

  • Frontend: React-based dashboard for user interaction
  • Gateway: API gateway handling authentication and routing
  • Services: Multiple microservices handling different business domains
  • Infrastructure: Redis, RabbitMQ, PostgreSQL databases

🐳 Kubernetes Infrastructure

🛠️ Services

The project includes multiple services:

  • Auth Service: Authentication and authorization
  • Tenant Service: Multi-tenancy management
  • Sales Service: Sales processing
  • External Service: Integration with external systems
  • Training Service: AI model training
  • Forecasting Service: Demand forecasting
  • Notification Service: Notifications and alerts
  • Inventory Service: Inventory management
  • Recipes Service: Recipe management
  • Suppliers Service: Supplier management
  • POS Service: Point of sale
  • Orders Service: Order management
  • Production Service: Production planning
  • Alert Processor: Background alert processing

📊 Monitoring

The system includes comprehensive monitoring with:

  • Prometheus for metrics collection
  • Grafana for visualization
  • ELK stack for logging (planned)

🚀 Production Deployment

For production deployment on clouding.io with Kubernetes:

  1. Set up your clouding.io Kubernetes cluster
  2. Update image references to your container registry
  3. Configure production-specific values
  4. Deploy using the production kustomization:
    kubectl apply -k infrastructure/kubernetes/environments/production/
    

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

📄 License

This project is licensed under the MIT License.

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