470cb91b51
This commit implements Phase 6 of the onboarding unification plan, which merges
the existing AI-powered onboarding with the comprehensive setup wizard into a
single, intelligent, personalized onboarding experience.
## Planning & Analysis Documents
- **ONBOARDING_UNIFICATION_PLAN.md**: Comprehensive master plan for unifying
onboarding systems, including:
- Current state analysis of existing wizards
- Gap analysis comparing features
- Unified 13-step wizard architecture with conditional flows
- Bakery type impact analysis (Production/Retail/Mixed)
- Step visibility matrix based on business logic
- Phases 6-11 implementation timeline (6 weeks)
- Technical specifications for all components
- Backend API and database changes needed
- Success metrics and risk analysis
- **PHASE_6_IMPLEMENTATION.md**: Detailed day-by-day implementation plan for
Phase 6, including:
- Week 1: Core component development
- Week 2: Context system and backend integration
- Code templates for all new components
- Backend API specifications
- Database schema changes
- Testing strategy with comprehensive checklist
## New Components Implemented
### 1. BakeryTypeSelectionStep (Discovery Phase)
- 3 bakery type options: Production, Retail, Mixed
- Interactive card-based selection UI
- Features and examples for each type
- Contextual help with detailed information
- Animated selection indicators
### 2. DataSourceChoiceStep (Configuration Method)
- AI-assisted setup (upload sales data)
- Manual step-by-step setup
- Comparison cards with benefits and ideal scenarios
- Estimated time for each approach
- Context-aware info panels
### 3. ProductionProcessesStep (Retail Bakeries)
- Alternative to RecipesSetupStep for retail bakeries
- Template-based quick start (4 common processes)
- Custom process creation with:
- Source product and finished product
- Process type (baking, decorating, finishing, assembly)
- Duration and temperature settings
- Step-by-step instructions
- Inline form with validation
### 4. WizardContext (State Management)
- Centralized state for entire onboarding flow
- Manages bakery type, data source selection
- Tracks AI suggestions and ML training status
- Tracks step completion across all phases
- Conditional step visibility logic
- localStorage persistence
- Helper hooks for step visibility
### 5. UnifiedOnboardingWizard (Main Container)
- Replaces existing OnboardingWizard
- Integrates all 13 steps with conditional rendering
- WizardProvider wraps entire flow
- Dynamic step visibility based on context
- Backward compatible with existing backend progress tracking
- Auto-completion for user_registered step
- Progress calculation based on visible steps
## Conditional Flow Logic
The wizard now supports intelligent conditional flows:
**Bakery Type Determines Steps:**
- Production → Shows Recipes Setup
- Retail → Shows Production Processes
- Mixed → Shows both Recipes and Processes
**Data Source Determines Path:**
- AI-Assisted → Upload sales data, AI analysis, review suggestions
- Manual → Direct data entry for suppliers, inventory, recipes
**Completion State Determines ML Training:**
- Only shows ML training if inventory is completed OR AI analysis is complete
## Technical Implementation Details
- **Context API**: WizardContext manages global onboarding state
- **Conditional Rendering**: getVisibleSteps() computes which steps to show
- **State Persistence**: localStorage saves progress for page refreshes
- **Step Dependencies**: markStepComplete() tracks prerequisites
- **Responsive Design**: Mobile-first UI with card-based layouts
- **Animations**: Smooth transitions with animate-scale-in, animate-fade-in
- **Accessibility**: WCAG AA compliant with keyboard navigation
- **Internationalization**: Full i18n support with useTranslation
## Files Added
- frontend/src/components/domain/onboarding/steps/BakeryTypeSelectionStep.tsx
- frontend/src/components/domain/onboarding/steps/DataSourceChoiceStep.tsx
- frontend/src/components/domain/onboarding/steps/ProductionProcessesStep.tsx
- frontend/src/components/domain/onboarding/context/WizardContext.tsx
- frontend/src/components/domain/onboarding/context/index.ts
- frontend/src/components/domain/onboarding/UnifiedOnboardingWizard.tsx
- ONBOARDING_UNIFICATION_PLAN.md
- PHASE_6_IMPLEMENTATION.md
## Files Modified
- frontend/src/components/domain/onboarding/steps/index.ts
- Added exports for new discovery and production steps
## Testing
✅ Build successful (21.42s)
✅ No TypeScript errors
✅ All components properly exported
✅ Animations working with existing animations.css
## Next Steps (Phase 7-11)
- Phase 7: Spanish Translations (1 week)
- Phase 8: Analytics & Tracking (1 week)
- Phase 9: Guided Tours (1 week)
- Phase 10: Enhanced Features (1 week)
- Phase 11: Testing & Polish (2 weeks)
## Backend Integration Notes
The existing tenant API already supports updating tenant information via
PUT /api/v1/tenants/{id}. The bakery_type can be stored in the tenant's
metadata_ JSON field or business_model field for now. A dedicated bakery_type
column can be added in a future migration for better querying and indexing.
🍞 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.