1eacfc8e64
Implemented a comprehensive unified wizard system to consolidate all "add new content"
actions into a single, intuitive, step-by-step guided experience based on Jobs To Be Done
(JTBD) methodology.
## What's New
### Core Components
- **UnifiedAddWizard**: Main orchestrator component that routes to specific wizards
- **ItemTypeSelector**: Beautiful visual card-based selection for 9 content types
- **9 Individual Wizards**: Step-by-step flows for each content type
### Priority Implementations (P0)
1. **SalesEntryWizard** ⭐ (MOST CRITICAL)
- Manual entry with dynamic product lists and auto-calculated totals
- File upload placeholder for CSV/Excel bulk import
- Critical for small bakeries without POS systems
2. **InventoryWizard**
- Type selection (ingredient vs finished product)
- Context-aware forms based on inventory type
- Optional initial lot entry
### Placeholder Wizards (P1/P2)
- Customer Order, Supplier, Recipe, Customer, Quality Template, Equipment, Team Member
- Proper structure in place for incremental enhancement
### Dashboard Integration
- Added prominent "Agregar" button in dashboard header
- Opens wizard modal with visual type selection
- Auto-refreshes dashboard after wizard completion
### Design Highlights
- Mobile-first responsive design (full-screen on mobile, modal on desktop)
- Touch-friendly with 44px+ touch targets
- Follows existing color system and design tokens
- Progressive disclosure to reduce cognitive load
- Accessibility-compliant (WCAG AA)
## Documentation
Created comprehensive documentation:
- `JTBD_UNIFIED_ADD_WIZARD.md` - Full JTBD analysis and research
- `WIZARD_ARCHITECTURE_DESIGN.md` - Technical design and specifications
- `UNIFIED_WIZARD_IMPLEMENTATION_SUMMARY.md` - Implementation guide
## Files Changed
- New: `frontend/src/components/domain/unified-wizard/` (15 new files)
- Modified: `frontend/src/pages/app/DashboardPage.tsx` (added wizard integration)
## Next Steps
- [ ] Connect wizards to real API endpoints (currently mock/placeholder)
- [ ] Implement full CSV upload for sales entry
- [ ] Add comprehensive form validation
- [ ] Enhance P1 priority wizards based on user feedback
## JTBD Alignment
Main Job: "When I need to expand or update my bakery operations, I want to quickly add
new resources to my management system, so I can keep my business running smoothly."
Key insights applied:
- Prioritized sales entry (most bakeries lack POS)
- Mobile-first (bakery owners are on their feet)
- Progressive disclosure (reduce overwhelm)
- Forgiving interactions (can go back, save drafts)
🍞 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
-
Clone the repository:
git clone <repository-url> cd bakery-ia -
Set up environment variables:
cp .env.example .env # Edit .env with your specific configuration -
Run with Docker Compose:
docker-compose up --build -
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:
- Set up your clouding.io Kubernetes cluster
- Update image references to your container registry
- Configure production-specific values
- Deploy using the production kustomization:
kubectl apply -k infrastructure/kubernetes/environments/production/
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Submit a pull request
📄 License
This project is licensed under the MIT License.