Claude 2c9d43e887 feat: Improve onboarding wizard UI, UX and dark mode support
This commit implements multiple improvements to the onboarding wizard:

**1. Unified UI Components:**
- Created InfoCard component for consistent "why is important" blocks across all steps
- Created TemplateCard component for consistent template displays
- Both components use global CSS variables for proper dark mode support

**2. Initial Stock Entry Step Improvements:**
- Fixed title/subtitle positioning using unified InfoCard component
- Fixed missing count bug in warning message (now uses {{count}} interpolation)
- Fixed dark mode colors using CSS variables (--color-success, --color-info, etc.)
- Changed next button title from "completar configuración" to "Continuar →"
- Implemented stock creation API call using useAddStock hook
- Products with stock now properly save to backend on step completion

**3. Dark Mode Fixes:**
- Fixed QualitySetupStep: Enhanced button selection visibility with rings and shadows
- Fixed TeamSetupStep: Enhanced role selection visibility with rings and shadows
- Fixed AddressAutocomplete: Replaced all hardcoded colors with CSS variables
- All dropdown results, icons, and hover states now properly adapt to dark mode

**4. Streamlined Wizard Flow:**
- Removed POI Detection step from wizard (step previously added complexity)
- POI detection now runs automatically in background after tenant registration
- Non-blocking approach ensures users aren't delayed by POI detection
- Removed Revision step (setup-review) as it adds no user value
- Completion step is now the final step before dashboard

**5. Backend Updates:**
- Updated onboarding_progress.py to remove poi-detection from ONBOARDING_STEPS
- Updated onboarding_progress.py to remove setup-review from ONBOARDING_STEPS
- Updated step dependencies to reflect streamlined flow
- POI detection documented as automatic background process

All changes maintain backward compatibility and use proper TypeScript types.
2025-11-12 14:48:46 +00:00
2025-11-02 20:24:44 +01:00
2025-07-17 14:34:24 +02:00
2025-09-23 12:49:35 +02:00
2025-11-06 11:04:50 +01:00

🍞 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

🔧 Troubleshooting

macOS "too many open files" error

If you encounter the "too many open files" error when running the application on macOS:

failed to create fsnotify watcher: too many open files

This is related to system limits on file system watchers. The kind configuration has been updated to handle this, but if you still encounter issues:

  1. Restart your Kind cluster with the updated configuration:

    kind delete cluster --name bakery-ia-local
    kind create cluster --config kind-config.yaml --name bakery-ia-local
    
  2. If needed, you can also increase the macOS system limits (though this shouldn't be necessary with the updated kind configuration):

    # Check current limits
    sysctl kern.maxfiles kern.maxfilesperproc
    
    # These are usually set high enough by default, but if needed:
    # sudo sysctl -w kern.maxfiles=65536
    # sudo sysctl -w kern.maxfilesperproc=65536
    

📄 License

This project is licensed under the MIT License.

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