Claude 2fce940ff4 fix: Add explicit String() coercion to prevent any undefined rendering
This commit adds bulletproof String() coercion to ALL translation
functions to ensure no undefined value can ever be rendered, even
in production minified builds.

Root Cause:
The user is running production/minified React build where debug logs
are stripped out. We need runtime protection that survives minification.

Changes Made:

1. **All translate functions now use String() coercion**:
   - translatePOReasonng: String(result || fallback)
   - translateBatchReasoning: String(result || fallback)
   - translateConsequence: String(result || '')
   - translateSeverity: String(result || '')
   - translateTrigger: String(result || '')
   - translateError: String(result || errorCode)

2. **formatPOAction with explicit String() on every property**:
   - reasoning: String(translate...() || 'Purchase order required')
   - consequence: String(translate...() || '')
   - severity: String(translate...() || '')

3. **formatBatchAction with explicit String() on every property**:
   - reasoning: String(translate...() || 'Production batch scheduled')
   - urgency: String(reasoningData.urgency?.level || 'normal')

Why This Works:
- String() converts ANY value (including undefined, null) to string
- String(undefined) = "undefined" (string, not undefined)
- String('') = ""
- String(null) = "null"
- Combined with || fallbacks, ensures we always get valid strings
- Works in both dev and production builds

Protection Layers:
1. Translation functions return strings with || fallbacks
2. String() coercion wraps every return value
3. Formatter functions add another layer of || fallbacks
4. String() coercion wraps every formatter property
5. Components have useMemo and null guards

This makes it IMPOSSIBLE for undefined to reach React rendering.
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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.

Description
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