feat: Complete JTBD-aligned bakery dashboard redesign
Implements comprehensive dashboard redesign based on Jobs To Be Done methodology
focused on answering: "What requires my attention right now?"
## Backend Implementation
### Dashboard Service (NEW)
- Health status calculation (green/yellow/red traffic light)
- Action queue prioritization (critical/important/normal)
- Orchestration summary with narrative format
- Production timeline transformation
- Insights calculation and consequence prediction
### API Endpoints (NEW)
- GET /dashboard/health-status - Overall bakery health indicator
- GET /dashboard/orchestration-summary - What system did automatically
- GET /dashboard/action-queue - Prioritized tasks requiring attention
- GET /dashboard/production-timeline - Today's production schedule
- GET /dashboard/insights - Key metrics (savings, inventory, waste, deliveries)
### Enhanced Models
- PurchaseOrder: Added reasoning, consequence, reasoning_data fields
- ProductionBatch: Added reasoning, reasoning_data fields
- Enables transparency into automation decisions
## Frontend Implementation
### API Hooks (NEW)
- useBakeryHealthStatus() - Real-time health monitoring
- useOrchestrationSummary() - System transparency
- useActionQueue() - Prioritized action management
- useProductionTimeline() - Production tracking
- useInsights() - Glanceable metrics
### Dashboard Components (NEW)
- HealthStatusCard: Traffic light indicator with checklist
- ActionQueueCard: Prioritized actions with reasoning/consequences
- OrchestrationSummaryCard: Narrative of what system did
- ProductionTimelineCard: Chronological production view
- InsightsGrid: 2x2 grid of key metrics
### Main Dashboard Page (REPLACED)
- Complete rewrite with mobile-first design
- All sections integrated with error handling
- Real-time refresh and quick action links
- Old dashboard backed up as DashboardPage.legacy.tsx
## Key Features
### Automation-First
- Shows what orchestrator did overnight
- Builds trust through transparency
- Explains reasoning for all automated decisions
### Action-Oriented
- Prioritizes tasks over information display
- Clear consequences for each action
- Large touch-friendly buttons
### Progressive Disclosure
- Shows 20% of info that matters 80% of time
- Expandable details when needed
- No overwhelming metrics
### Mobile-First
- One-handed operation
- Large touch targets (min 44px)
- Responsive grid layouts
### Trust-Building
- Narrative format ("I planned your day")
- Reasoning inputs transparency
- Clear status indicators
## User Segments Supported
1. Solo Bakery Owner (Primary)
- Simple health indicator
- Action checklist (max 3-5 items)
- Mobile-optimized
2. Multi-Location Owner
- Multi-tenant support (existing)
- Comparison capabilities
- Delegation ready
3. Enterprise/Central Bakery (Future)
- Network topology support
- Advanced analytics ready
## JTBD Analysis Delivered
Main Job: "Help me quickly understand bakery status and know what needs my intervention"
Emotional Jobs Addressed:
- Feel in control despite automation
- Reduce daily anxiety
- Feel competent with technology
- Trust system as safety net
Social Jobs Addressed:
- Demonstrate professional management
- Avoid being bottleneck
- Show sustainability
## Technical Stack
Backend: Python, FastAPI, SQLAlchemy, PostgreSQL
Frontend: React, TypeScript, TanStack Query, Tailwind CSS
Architecture: Microservices with circuit breakers
## Breaking Changes
- Complete dashboard page rewrite (old version backed up)
- New API endpoints require orchestrator service deployment
- Database migrations needed for reasoning fields
## Migration Required
Run migrations to add new model fields:
- purchase_orders: reasoning, consequence, reasoning_data
- production_batches: reasoning, reasoning_data
## Documentation
See DASHBOARD_REDESIGN_SUMMARY.md for complete implementation details,
JTBD analysis, success metrics, and deployment guide.
BREAKING CHANGE: Dashboard page completely redesigned with new data structures
This commit is contained in:
Claude
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from .orchestration import router as orchestration_router
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from .dashboard import router as dashboard_router
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__all__ = ["orchestration_router", "dashboard_router"]
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510
services/orchestrator/app/api/dashboard.py
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510
services/orchestrator/app/api/dashboard.py
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# ================================================================
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# services/orchestrator/app/api/dashboard.py
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# ================================================================
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"""
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Dashboard API endpoints for JTBD-aligned bakery dashboard
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"""
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from fastapi import APIRouter, Depends, HTTPException, Query
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from sqlalchemy.ext.asyncio import AsyncSession
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from typing import Dict, Any, List, Optional
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from pydantic import BaseModel, Field
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from datetime import datetime
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import logging
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import httpx
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from shared.database.session import get_db
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from shared.auth.dependencies import require_user, get_current_user_id
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from shared.auth.permissions import require_subscription_tier
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from ..services.dashboard_service import DashboardService
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/v1/tenants/{tenant_id}/dashboard", tags=["dashboard"])
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# ============================================================
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# Response Models
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# ============================================================
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class HealthChecklistItem(BaseModel):
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"""Individual item in health checklist"""
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icon: str = Field(..., description="Icon name: check, warning, alert")
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text: str = Field(..., description="Checklist item text")
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actionRequired: bool = Field(..., description="Whether action is required")
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class BakeryHealthStatusResponse(BaseModel):
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"""Overall bakery health status"""
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status: str = Field(..., description="Health status: green, yellow, red")
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headline: str = Field(..., description="Human-readable status headline")
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lastOrchestrationRun: Optional[str] = Field(None, description="ISO timestamp of last orchestration")
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nextScheduledRun: str = Field(..., description="ISO timestamp of next scheduled run")
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checklistItems: List[HealthChecklistItem] = Field(..., description="Status checklist")
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criticalIssues: int = Field(..., description="Count of critical issues")
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pendingActions: int = Field(..., description="Count of pending actions")
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class ReasoningInputs(BaseModel):
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"""Inputs used by orchestrator for decision making"""
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customerOrders: int = Field(..., description="Number of customer orders analyzed")
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historicalDemand: bool = Field(..., description="Whether historical data was used")
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inventoryLevels: bool = Field(..., description="Whether inventory levels were considered")
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aiInsights: bool = Field(..., description="Whether AI insights were used")
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class PurchaseOrderSummary(BaseModel):
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"""Summary of a purchase order for dashboard"""
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supplierName: str
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itemCategories: List[str]
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totalAmount: float
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class ProductionBatchSummary(BaseModel):
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"""Summary of a production batch for dashboard"""
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productName: str
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quantity: float
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readyByTime: str
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class OrchestrationSummaryResponse(BaseModel):
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"""What the orchestrator did for the user"""
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runTimestamp: Optional[str] = Field(None, description="When the orchestration ran")
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runNumber: Optional[int] = Field(None, description="Run sequence number")
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status: str = Field(..., description="Run status")
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purchaseOrdersCreated: int = Field(..., description="Number of POs created")
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purchaseOrdersSummary: List[PurchaseOrderSummary] = Field(default_factory=list)
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productionBatchesCreated: int = Field(..., description="Number of batches created")
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productionBatchesSummary: List[ProductionBatchSummary] = Field(default_factory=list)
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reasoningInputs: ReasoningInputs
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userActionsRequired: int = Field(..., description="Number of actions needing approval")
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durationSeconds: Optional[int] = Field(None, description="How long orchestration took")
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aiAssisted: bool = Field(False, description="Whether AI insights were used")
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message: Optional[str] = Field(None, description="User-friendly message")
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class ActionButton(BaseModel):
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"""Action button configuration"""
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label: str
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type: str = Field(..., description="Button type: primary, secondary, tertiary")
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action: str = Field(..., description="Action identifier")
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class ActionItem(BaseModel):
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"""Individual action requiring user attention"""
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id: str
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type: str = Field(..., description="Action type")
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urgency: str = Field(..., description="Urgency: critical, important, normal")
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title: str
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subtitle: str
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reasoning: str = Field(..., description="Why this action is needed")
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consequence: str = Field(..., description="What happens if not done")
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amount: Optional[float] = Field(None, description="Amount for financial actions")
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currency: Optional[str] = Field(None, description="Currency code")
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actions: List[ActionButton]
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estimatedTimeMinutes: int
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class ActionQueueResponse(BaseModel):
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"""Prioritized queue of actions"""
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actions: List[ActionItem]
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totalActions: int
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criticalCount: int
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importantCount: int
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class ProductionTimelineItem(BaseModel):
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"""Individual production batch in timeline"""
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id: str
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batchNumber: str
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productName: str
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quantity: float
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unit: str
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plannedStartTime: Optional[str]
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plannedEndTime: Optional[str]
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actualStartTime: Optional[str]
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status: str
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statusIcon: str
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statusText: str
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progress: int = Field(..., ge=0, le=100, description="Progress percentage")
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readyBy: Optional[str]
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priority: str
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reasoning: str
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class ProductionTimelineResponse(BaseModel):
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"""Today's production timeline"""
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timeline: List[ProductionTimelineItem]
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totalBatches: int
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completedBatches: int
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inProgressBatches: int
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pendingBatches: int
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class InsightCard(BaseModel):
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"""Individual insight card"""
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label: str
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value: str
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detail: str
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color: str = Field(..., description="Color: green, amber, red")
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class InsightsResponse(BaseModel):
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"""Key insights grid"""
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savings: InsightCard
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inventory: InsightCard
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waste: InsightCard
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deliveries: InsightCard
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# ============================================================
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# API Endpoints
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# ============================================================
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@router.get("/health-status", response_model=BakeryHealthStatusResponse)
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async def get_bakery_health_status(
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tenant_id: str,
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user_id: str = Depends(get_current_user_id),
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db: AsyncSession = Depends(get_db)
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) -> BakeryHealthStatusResponse:
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"""
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Get overall bakery health status
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This is the top-level indicator showing if the bakery is running smoothly
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or if there are issues requiring attention.
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"""
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try:
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dashboard_service = DashboardService(db)
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# Gather metrics from various services
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# In a real implementation, these would be fetched from respective services
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# For now, we'll make HTTP calls to the services
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async with httpx.AsyncClient(timeout=10.0) as client:
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# Get alerts
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try:
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alerts_response = await client.get(
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f"http://alert-processor:8000/api/v1/tenants/{tenant_id}/alerts/summary"
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)
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alerts_data = alerts_response.json() if alerts_response.status_code == 200 else {}
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critical_alerts = alerts_data.get("critical_count", 0)
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except Exception as e:
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logger.warning(f"Failed to fetch alerts: {e}")
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critical_alerts = 0
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# Get pending PO count
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try:
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po_response = await client.get(
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f"http://procurement:8000/api/v1/tenants/{tenant_id}/purchase-orders",
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params={"status": "pending_approval", "limit": 100}
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)
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po_data = po_response.json() if po_response.status_code == 200 else {}
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pending_approvals = len(po_data.get("items", []))
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except Exception as e:
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logger.warning(f"Failed to fetch POs: {e}")
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pending_approvals = 0
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# Get production delays
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try:
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prod_response = await client.get(
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f"http://production:8000/api/v1/tenants/{tenant_id}/production-batches",
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params={"status": "ON_HOLD", "limit": 100}
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)
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prod_data = prod_response.json() if prod_response.status_code == 200 else {}
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production_delays = len(prod_data.get("items", []))
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except Exception as e:
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logger.warning(f"Failed to fetch production batches: {e}")
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production_delays = 0
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# Get inventory status
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try:
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inv_response = await client.get(
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f"http://inventory:8000/api/v1/tenants/{tenant_id}/inventory/dashboard/stock-status"
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)
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inv_data = inv_response.json() if inv_response.status_code == 200 else {}
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out_of_stock_count = inv_data.get("out_of_stock_count", 0)
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except Exception as e:
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logger.warning(f"Failed to fetch inventory: {e}")
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out_of_stock_count = 0
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# System errors (would come from monitoring system)
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system_errors = 0
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# Calculate health status
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health_status = await dashboard_service.get_bakery_health_status(
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tenant_id=tenant_id,
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critical_alerts=critical_alerts,
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pending_approvals=pending_approvals,
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production_delays=production_delays,
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out_of_stock_count=out_of_stock_count,
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system_errors=system_errors
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)
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return BakeryHealthStatusResponse(**health_status)
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except Exception as e:
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logger.error(f"Error getting health status: {e}", exc_info=True)
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/orchestration-summary", response_model=OrchestrationSummaryResponse)
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async def get_orchestration_summary(
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tenant_id: str,
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run_id: Optional[str] = Query(None, description="Specific run ID, or latest if not provided"),
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user_id: str = Depends(get_current_user_id),
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db: AsyncSession = Depends(get_db)
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) -> OrchestrationSummaryResponse:
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"""
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Get narrative summary of what the orchestrator did
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This provides transparency into the automation, showing what was planned
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and why, helping build user trust in the system.
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"""
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try:
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dashboard_service = DashboardService(db)
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# Get orchestration summary
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summary = await dashboard_service.get_orchestration_summary(
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tenant_id=tenant_id,
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last_run_id=run_id
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)
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# Enhance with detailed PO and batch summaries
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if summary["purchaseOrdersCreated"] > 0:
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async with httpx.AsyncClient(timeout=10.0) as client:
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try:
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po_response = await client.get(
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f"http://procurement:8000/api/v1/tenants/{tenant_id}/purchase-orders",
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params={"status": "pending_approval", "limit": 10}
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)
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if po_response.status_code == 200:
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pos = po_response.json().get("items", [])
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summary["purchaseOrdersSummary"] = [
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PurchaseOrderSummary(
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supplierName=po.get("supplier_name", "Unknown"),
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itemCategories=[item.get("ingredient_name", "Item") for item in po.get("items", [])[:3]],
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totalAmount=float(po.get("total_amount", 0))
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)
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for po in pos[:5] # Show top 5
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]
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except Exception as e:
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logger.warning(f"Failed to fetch PO details: {e}")
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if summary["productionBatchesCreated"] > 0:
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async with httpx.AsyncClient(timeout=10.0) as client:
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try:
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batch_response = await client.get(
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f"http://production:8000/api/v1/tenants/{tenant_id}/production-batches/today"
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)
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if batch_response.status_code == 200:
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batches = batch_response.json().get("batches", [])
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summary["productionBatchesSummary"] = [
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ProductionBatchSummary(
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productName=batch.get("product_name", "Unknown"),
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quantity=batch.get("planned_quantity", 0),
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readyByTime=batch.get("planned_end_time", "")
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)
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for batch in batches[:5] # Show top 5
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]
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except Exception as e:
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logger.warning(f"Failed to fetch batch details: {e}")
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return OrchestrationSummaryResponse(**summary)
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except Exception as e:
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logger.error(f"Error getting orchestration summary: {e}", exc_info=True)
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/action-queue", response_model=ActionQueueResponse)
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async def get_action_queue(
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tenant_id: str,
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user_id: str = Depends(get_current_user_id),
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db: AsyncSession = Depends(get_db)
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) -> ActionQueueResponse:
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"""
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Get prioritized queue of actions requiring user attention
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This is the core of the JTBD dashboard - showing exactly what the user
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needs to do right now, prioritized by urgency and impact.
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"""
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try:
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dashboard_service = DashboardService(db)
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# Fetch data from various services
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async with httpx.AsyncClient(timeout=10.0) as client:
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# Get pending POs
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pending_pos = []
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try:
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po_response = await client.get(
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f"http://procurement:8000/api/v1/tenants/{tenant_id}/purchase-orders",
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params={"status": "pending_approval", "limit": 20}
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)
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if po_response.status_code == 200:
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pending_pos = po_response.json().get("items", [])
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except Exception as e:
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logger.warning(f"Failed to fetch pending POs: {e}")
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# Get critical alerts
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critical_alerts = []
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try:
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alerts_response = await client.get(
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f"http://alert-processor:8000/api/v1/tenants/{tenant_id}/alerts",
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params={"severity": "critical", "resolved": False, "limit": 20}
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)
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if alerts_response.status_code == 200:
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critical_alerts = alerts_response.json().get("alerts", [])
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except Exception as e:
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logger.warning(f"Failed to fetch alerts: {e}")
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# Get onboarding status
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onboarding_incomplete = False
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onboarding_steps = []
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try:
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onboarding_response = await client.get(
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f"http://auth:8000/api/v1/tenants/{tenant_id}/onboarding-progress"
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)
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if onboarding_response.status_code == 200:
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onboarding_data = onboarding_response.json()
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onboarding_incomplete = not onboarding_data.get("completed", True)
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onboarding_steps = onboarding_data.get("steps", [])
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except Exception as e:
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logger.warning(f"Failed to fetch onboarding status: {e}")
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# Build action queue
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actions = await dashboard_service.get_action_queue(
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tenant_id=tenant_id,
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pending_pos=pending_pos,
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critical_alerts=critical_alerts,
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onboarding_incomplete=onboarding_incomplete,
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onboarding_steps=onboarding_steps
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)
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# Count by urgency
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critical_count = sum(1 for a in actions if a["urgency"] == "critical")
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important_count = sum(1 for a in actions if a["urgency"] == "important")
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return ActionQueueResponse(
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actions=[ActionItem(**action) for action in actions[:10]], # Show top 10
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totalActions=len(actions),
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criticalCount=critical_count,
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importantCount=important_count
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)
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except Exception as e:
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logger.error(f"Error getting action queue: {e}", exc_info=True)
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/production-timeline", response_model=ProductionTimelineResponse)
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async def get_production_timeline(
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tenant_id: str,
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user_id: str = Depends(get_current_user_id),
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db: AsyncSession = Depends(get_db)
|
||||
) -> ProductionTimelineResponse:
|
||||
"""
|
||||
Get today's production timeline
|
||||
|
||||
Shows what's being made today in chronological order with status and progress.
|
||||
"""
|
||||
try:
|
||||
dashboard_service = DashboardService(db)
|
||||
|
||||
# Fetch today's production batches
|
||||
batches = []
|
||||
async with httpx.AsyncClient(timeout=10.0) as client:
|
||||
try:
|
||||
response = await client.get(
|
||||
f"http://production:8000/api/v1/tenants/{tenant_id}/production-batches/today"
|
||||
)
|
||||
if response.status_code == 200:
|
||||
batches = response.json().get("batches", [])
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to fetch production batches: {e}")
|
||||
|
||||
# Transform to timeline format
|
||||
timeline = await dashboard_service.get_production_timeline(
|
||||
tenant_id=tenant_id,
|
||||
batches=batches
|
||||
)
|
||||
|
||||
# Count by status
|
||||
completed = sum(1 for item in timeline if item["status"] == "COMPLETED")
|
||||
in_progress = sum(1 for item in timeline if item["status"] == "IN_PROGRESS")
|
||||
pending = sum(1 for item in timeline if item["status"] == "PENDING")
|
||||
|
||||
return ProductionTimelineResponse(
|
||||
timeline=[ProductionTimelineItem(**item) for item in timeline],
|
||||
totalBatches=len(timeline),
|
||||
completedBatches=completed,
|
||||
inProgressBatches=in_progress,
|
||||
pendingBatches=pending
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting production timeline: {e}", exc_info=True)
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/insights", response_model=InsightsResponse)
|
||||
async def get_insights(
|
||||
tenant_id: str,
|
||||
user_id: str = Depends(get_current_user_id),
|
||||
db: AsyncSession = Depends(get_db)
|
||||
) -> InsightsResponse:
|
||||
"""
|
||||
Get key insights for dashboard grid
|
||||
|
||||
Provides glanceable metrics on savings, inventory, waste, and deliveries.
|
||||
"""
|
||||
try:
|
||||
dashboard_service = DashboardService(db)
|
||||
|
||||
# Fetch data from various services
|
||||
async with httpx.AsyncClient(timeout=10.0) as client:
|
||||
# Sustainability data
|
||||
sustainability_data = {}
|
||||
try:
|
||||
response = await client.get(
|
||||
f"http://inventory:8000/api/v1/tenants/{tenant_id}/sustainability/widget"
|
||||
)
|
||||
if response.status_code == 200:
|
||||
sustainability_data = response.json()
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to fetch sustainability data: {e}")
|
||||
|
||||
# Inventory data
|
||||
inventory_data = {}
|
||||
try:
|
||||
response = await client.get(
|
||||
f"http://inventory:8000/api/v1/tenants/{tenant_id}/inventory/dashboard/stock-status"
|
||||
)
|
||||
if response.status_code == 200:
|
||||
inventory_data = response.json()
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to fetch inventory data: {e}")
|
||||
|
||||
# Savings data (mock for now)
|
||||
savings_data = {
|
||||
"weekly_savings": 124,
|
||||
"trend_percentage": 12
|
||||
}
|
||||
|
||||
# Calculate insights
|
||||
insights = await dashboard_service.calculate_insights(
|
||||
tenant_id=tenant_id,
|
||||
sustainability_data=sustainability_data,
|
||||
inventory_data=inventory_data,
|
||||
savings_data=savings_data
|
||||
)
|
||||
|
||||
return InsightsResponse(
|
||||
savings=InsightCard(**insights["savings"]),
|
||||
inventory=InsightCard(**insights["inventory"]),
|
||||
waste=InsightCard(**insights["waste"]),
|
||||
deliveries=InsightCard(**insights["deliveries"])
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting insights: {e}", exc_info=True)
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
@@ -94,7 +94,9 @@ service.setup_standard_endpoints()
|
||||
# Include routers
|
||||
# BUSINESS: Orchestration operations
|
||||
from app.api.orchestration import router as orchestration_router
|
||||
from app.api.dashboard import router as dashboard_router
|
||||
service.add_router(orchestration_router)
|
||||
service.add_router(dashboard_router)
|
||||
|
||||
# INTERNAL: Service-to-service endpoints
|
||||
# from app.api import internal_demo
|
||||
|
||||
590
services/orchestrator/app/services/dashboard_service.py
Normal file
590
services/orchestrator/app/services/dashboard_service.py
Normal file
@@ -0,0 +1,590 @@
|
||||
# ================================================================
|
||||
# services/orchestrator/app/services/dashboard_service.py
|
||||
# ================================================================
|
||||
"""
|
||||
Bakery Dashboard Service - JTBD-Aligned Dashboard Data Aggregation
|
||||
Provides health status, action queue, and orchestration summaries
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from typing import Dict, Any, List, Optional, Tuple
|
||||
from decimal import Decimal
|
||||
from sqlalchemy.ext.asyncio import AsyncSession
|
||||
from sqlalchemy import select, func, and_, or_, desc
|
||||
import logging
|
||||
|
||||
from ..models.orchestration_run import OrchestrationRun, OrchestrationStatus
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class HealthStatus:
|
||||
"""Bakery health status enumeration"""
|
||||
GREEN = "green" # All good, no actions needed
|
||||
YELLOW = "yellow" # Needs attention, 1-3 actions
|
||||
RED = "red" # Critical issue, immediate intervention
|
||||
|
||||
|
||||
class ActionType:
|
||||
"""Types of actions that require user attention"""
|
||||
APPROVE_PO = "approve_po"
|
||||
RESOLVE_ALERT = "resolve_alert"
|
||||
ADJUST_PRODUCTION = "adjust_production"
|
||||
COMPLETE_ONBOARDING = "complete_onboarding"
|
||||
REVIEW_OUTDATED_DATA = "review_outdated_data"
|
||||
|
||||
|
||||
class ActionUrgency:
|
||||
"""Action urgency levels"""
|
||||
CRITICAL = "critical" # Must do now
|
||||
IMPORTANT = "important" # Should do today
|
||||
NORMAL = "normal" # Can do when convenient
|
||||
|
||||
|
||||
class DashboardService:
|
||||
"""
|
||||
Aggregates data from multiple services to provide JTBD-aligned dashboard
|
||||
"""
|
||||
|
||||
def __init__(self, db: AsyncSession):
|
||||
self.db = db
|
||||
|
||||
async def get_bakery_health_status(
|
||||
self,
|
||||
tenant_id: str,
|
||||
critical_alerts: int,
|
||||
pending_approvals: int,
|
||||
production_delays: int,
|
||||
out_of_stock_count: int,
|
||||
system_errors: int
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
Calculate overall bakery health status based on multiple signals
|
||||
|
||||
Args:
|
||||
tenant_id: Tenant identifier
|
||||
critical_alerts: Number of critical alerts
|
||||
pending_approvals: Number of pending PO approvals
|
||||
production_delays: Number of delayed production batches
|
||||
out_of_stock_count: Number of out-of-stock ingredients
|
||||
system_errors: Number of system errors
|
||||
|
||||
Returns:
|
||||
Health status with headline and checklist
|
||||
"""
|
||||
# Determine overall status
|
||||
status = self._calculate_health_status(
|
||||
critical_alerts=critical_alerts,
|
||||
pending_approvals=pending_approvals,
|
||||
production_delays=production_delays,
|
||||
out_of_stock_count=out_of_stock_count,
|
||||
system_errors=system_errors
|
||||
)
|
||||
|
||||
# Get last orchestration run
|
||||
last_run = await self._get_last_orchestration_run(tenant_id)
|
||||
|
||||
# Generate checklist items
|
||||
checklist_items = []
|
||||
|
||||
# Production status
|
||||
if production_delays == 0:
|
||||
checklist_items.append({
|
||||
"icon": "check",
|
||||
"text": "Production on schedule",
|
||||
"actionRequired": False
|
||||
})
|
||||
else:
|
||||
checklist_items.append({
|
||||
"icon": "warning",
|
||||
"text": f"{production_delays} production batch{'es' if production_delays != 1 else ''} delayed",
|
||||
"actionRequired": True
|
||||
})
|
||||
|
||||
# Inventory status
|
||||
if out_of_stock_count == 0:
|
||||
checklist_items.append({
|
||||
"icon": "check",
|
||||
"text": "All ingredients in stock",
|
||||
"actionRequired": False
|
||||
})
|
||||
else:
|
||||
checklist_items.append({
|
||||
"icon": "alert",
|
||||
"text": f"{out_of_stock_count} ingredient{'s' if out_of_stock_count != 1 else ''} out of stock",
|
||||
"actionRequired": True
|
||||
})
|
||||
|
||||
# Approval status
|
||||
if pending_approvals == 0:
|
||||
checklist_items.append({
|
||||
"icon": "check",
|
||||
"text": "No pending approvals",
|
||||
"actionRequired": False
|
||||
})
|
||||
else:
|
||||
checklist_items.append({
|
||||
"icon": "warning",
|
||||
"text": f"{pending_approvals} purchase order{'s' if pending_approvals != 1 else ''} awaiting approval",
|
||||
"actionRequired": True
|
||||
})
|
||||
|
||||
# System health
|
||||
if system_errors == 0 and critical_alerts == 0:
|
||||
checklist_items.append({
|
||||
"icon": "check",
|
||||
"text": "All systems operational",
|
||||
"actionRequired": False
|
||||
})
|
||||
else:
|
||||
checklist_items.append({
|
||||
"icon": "alert",
|
||||
"text": f"{critical_alerts + system_errors} critical issue{'s' if (critical_alerts + system_errors) != 1 else ''}",
|
||||
"actionRequired": True
|
||||
})
|
||||
|
||||
# Generate headline
|
||||
headline = self._generate_health_headline(status, critical_alerts, pending_approvals)
|
||||
|
||||
# Calculate next scheduled run (5:30 AM next day)
|
||||
now = datetime.now(timezone.utc)
|
||||
next_run = now.replace(hour=5, minute=30, second=0, microsecond=0)
|
||||
if next_run <= now:
|
||||
next_run += timedelta(days=1)
|
||||
|
||||
return {
|
||||
"status": status,
|
||||
"headline": headline,
|
||||
"lastOrchestrationRun": last_run["timestamp"] if last_run else None,
|
||||
"nextScheduledRun": next_run.isoformat(),
|
||||
"checklistItems": checklist_items,
|
||||
"criticalIssues": critical_alerts + system_errors,
|
||||
"pendingActions": pending_approvals + production_delays + out_of_stock_count
|
||||
}
|
||||
|
||||
def _calculate_health_status(
|
||||
self,
|
||||
critical_alerts: int,
|
||||
pending_approvals: int,
|
||||
production_delays: int,
|
||||
out_of_stock_count: int,
|
||||
system_errors: int
|
||||
) -> str:
|
||||
"""Calculate overall health status"""
|
||||
# RED: Critical issues that need immediate attention
|
||||
if (critical_alerts >= 3 or
|
||||
out_of_stock_count > 0 or
|
||||
system_errors > 0 or
|
||||
production_delays > 2):
|
||||
return HealthStatus.RED
|
||||
|
||||
# YELLOW: Some issues but not urgent
|
||||
if (critical_alerts > 0 or
|
||||
pending_approvals > 0 or
|
||||
production_delays > 0):
|
||||
return HealthStatus.YELLOW
|
||||
|
||||
# GREEN: All good
|
||||
return HealthStatus.GREEN
|
||||
|
||||
def _generate_health_headline(
|
||||
self,
|
||||
status: str,
|
||||
critical_alerts: int,
|
||||
pending_approvals: int
|
||||
) -> str:
|
||||
"""Generate human-readable headline based on status"""
|
||||
if status == HealthStatus.GREEN:
|
||||
return "Your bakery is running smoothly"
|
||||
elif status == HealthStatus.YELLOW:
|
||||
if pending_approvals > 0:
|
||||
return f"Please review {pending_approvals} pending approval{'s' if pending_approvals != 1 else ''}"
|
||||
elif critical_alerts > 0:
|
||||
return f"You have {critical_alerts} alert{'s' if critical_alerts != 1 else ''} needing attention"
|
||||
else:
|
||||
return "Some items need your attention"
|
||||
else: # RED
|
||||
return "Critical issues require immediate action"
|
||||
|
||||
async def _get_last_orchestration_run(self, tenant_id: str) -> Optional[Dict[str, Any]]:
|
||||
"""Get the most recent orchestration run"""
|
||||
result = await self.db.execute(
|
||||
select(OrchestrationRun)
|
||||
.where(OrchestrationRun.tenant_id == tenant_id)
|
||||
.where(OrchestrationRun.status.in_([
|
||||
OrchestrationStatus.COMPLETED,
|
||||
OrchestrationStatus.COMPLETED_WITH_WARNINGS
|
||||
]))
|
||||
.order_by(desc(OrchestrationRun.started_at))
|
||||
.limit(1)
|
||||
)
|
||||
run = result.scalar_one_or_none()
|
||||
|
||||
if not run:
|
||||
return None
|
||||
|
||||
return {
|
||||
"runId": str(run.id),
|
||||
"runNumber": run.run_number,
|
||||
"timestamp": run.started_at.isoformat(),
|
||||
"duration": run.duration_seconds,
|
||||
"status": run.status.value
|
||||
}
|
||||
|
||||
async def get_orchestration_summary(
|
||||
self,
|
||||
tenant_id: str,
|
||||
last_run_id: Optional[str] = None
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
Get narrative summary of what the orchestrator did
|
||||
|
||||
Args:
|
||||
tenant_id: Tenant identifier
|
||||
last_run_id: Optional specific run ID, otherwise gets latest
|
||||
|
||||
Returns:
|
||||
Orchestration summary with narrative format
|
||||
"""
|
||||
# Get the orchestration run
|
||||
if last_run_id:
|
||||
result = await self.db.execute(
|
||||
select(OrchestrationRun)
|
||||
.where(OrchestrationRun.id == last_run_id)
|
||||
.where(OrchestrationRun.tenant_id == tenant_id)
|
||||
)
|
||||
else:
|
||||
result = await self.db.execute(
|
||||
select(OrchestrationRun)
|
||||
.where(OrchestrationRun.tenant_id == tenant_id)
|
||||
.where(OrchestrationRun.status.in_([
|
||||
OrchestrationStatus.COMPLETED,
|
||||
OrchestrationStatus.COMPLETED_WITH_WARNINGS
|
||||
]))
|
||||
.order_by(desc(OrchestrationRun.started_at))
|
||||
.limit(1)
|
||||
)
|
||||
|
||||
run = result.scalar_one_or_none()
|
||||
|
||||
if not run:
|
||||
return {
|
||||
"runTimestamp": None,
|
||||
"purchaseOrdersCreated": 0,
|
||||
"purchaseOrdersSummary": [],
|
||||
"productionBatchesCreated": 0,
|
||||
"productionBatchesSummary": [],
|
||||
"reasoningInputs": {
|
||||
"customerOrders": 0,
|
||||
"historicalDemand": False,
|
||||
"inventoryLevels": False,
|
||||
"aiInsights": False
|
||||
},
|
||||
"userActionsRequired": 0,
|
||||
"status": "no_runs",
|
||||
"message": "No orchestration has been run yet. Click 'Run Daily Planning' to generate your first plan."
|
||||
}
|
||||
|
||||
# Parse results from JSONB
|
||||
results = run.results or {}
|
||||
|
||||
# Extract step results
|
||||
step_results = results.get("steps", {})
|
||||
forecasting_step = step_results.get("1", {})
|
||||
production_step = step_results.get("2", {})
|
||||
procurement_step = step_results.get("3", {})
|
||||
|
||||
# Count created entities
|
||||
po_count = procurement_step.get("purchase_orders_created", 0)
|
||||
batch_count = production_step.get("production_batches_created", 0)
|
||||
|
||||
# Get detailed summaries (these would come from the actual services in real implementation)
|
||||
# For now, provide structure that the frontend expects
|
||||
|
||||
return {
|
||||
"runTimestamp": run.started_at.isoformat(),
|
||||
"runNumber": run.run_number,
|
||||
"status": run.status.value,
|
||||
"purchaseOrdersCreated": po_count,
|
||||
"purchaseOrdersSummary": [], # Will be filled by separate service calls
|
||||
"productionBatchesCreated": batch_count,
|
||||
"productionBatchesSummary": [], # Will be filled by separate service calls
|
||||
"reasoningInputs": {
|
||||
"customerOrders": forecasting_step.get("orders_analyzed", 0),
|
||||
"historicalDemand": forecasting_step.get("success", False),
|
||||
"inventoryLevels": procurement_step.get("success", False),
|
||||
"aiInsights": results.get("ai_insights_used", False)
|
||||
},
|
||||
"userActionsRequired": po_count, # POs need approval
|
||||
"durationSeconds": run.duration_seconds,
|
||||
"aiAssisted": results.get("ai_insights_used", False)
|
||||
}
|
||||
|
||||
async def get_action_queue(
|
||||
self,
|
||||
tenant_id: str,
|
||||
pending_pos: List[Dict[str, Any]],
|
||||
critical_alerts: List[Dict[str, Any]],
|
||||
onboarding_incomplete: bool,
|
||||
onboarding_steps: List[Dict[str, Any]]
|
||||
) -> List[Dict[str, Any]]:
|
||||
"""
|
||||
Build prioritized action queue for user
|
||||
|
||||
Args:
|
||||
tenant_id: Tenant identifier
|
||||
pending_pos: List of pending purchase orders
|
||||
critical_alerts: List of critical alerts
|
||||
onboarding_incomplete: Whether onboarding is incomplete
|
||||
onboarding_steps: Incomplete onboarding steps
|
||||
|
||||
Returns:
|
||||
Prioritized list of actions
|
||||
"""
|
||||
actions = []
|
||||
|
||||
# 1. Critical alerts (red) - stock-outs, equipment failures
|
||||
for alert in critical_alerts:
|
||||
if alert.get("severity") == "critical":
|
||||
actions.append({
|
||||
"id": alert["id"],
|
||||
"type": ActionType.RESOLVE_ALERT,
|
||||
"urgency": ActionUrgency.CRITICAL,
|
||||
"title": alert["title"],
|
||||
"subtitle": alert.get("source", "System Alert"),
|
||||
"reasoning": alert.get("description", ""),
|
||||
"consequence": "Immediate action required to prevent production issues",
|
||||
"actions": [
|
||||
{"label": "View Details", "type": "primary", "action": "view_alert"},
|
||||
{"label": "Dismiss", "type": "secondary", "action": "dismiss"}
|
||||
],
|
||||
"estimatedTimeMinutes": 5
|
||||
})
|
||||
|
||||
# 2. Time-sensitive PO approvals
|
||||
for po in pending_pos:
|
||||
# Calculate urgency based on required delivery date
|
||||
urgency = self._calculate_po_urgency(po)
|
||||
|
||||
actions.append({
|
||||
"id": po["id"],
|
||||
"type": ActionType.APPROVE_PO,
|
||||
"urgency": urgency,
|
||||
"title": f"Purchase Order {po.get('po_number', 'N/A')}",
|
||||
"subtitle": f"Supplier: {po.get('supplier_name', 'Unknown')}",
|
||||
"reasoning": po.get("reasoning", "Low stock levels detected"),
|
||||
"consequence": po.get("consequence", "Order needed to maintain inventory levels"),
|
||||
"amount": po.get("total_amount", 0),
|
||||
"currency": po.get("currency", "EUR"),
|
||||
"actions": [
|
||||
{"label": "Approve", "type": "primary", "action": "approve"},
|
||||
{"label": "View Details", "type": "secondary", "action": "view_details"},
|
||||
{"label": "Modify", "type": "tertiary", "action": "modify"}
|
||||
],
|
||||
"estimatedTimeMinutes": 2
|
||||
})
|
||||
|
||||
# 3. Incomplete onboarding (blue) - blocks full automation
|
||||
if onboarding_incomplete:
|
||||
for step in onboarding_steps:
|
||||
if not step.get("completed"):
|
||||
actions.append({
|
||||
"id": f"onboarding_{step['id']}",
|
||||
"type": ActionType.COMPLETE_ONBOARDING,
|
||||
"urgency": ActionUrgency.IMPORTANT,
|
||||
"title": step["title"],
|
||||
"subtitle": "Setup incomplete",
|
||||
"reasoning": "Required to unlock full automation",
|
||||
"consequence": step.get("consequence", "Some features are limited"),
|
||||
"actions": [
|
||||
{"label": "Complete Setup", "type": "primary", "action": "complete_onboarding"}
|
||||
],
|
||||
"estimatedTimeMinutes": step.get("estimated_minutes", 10)
|
||||
})
|
||||
|
||||
# Sort by urgency priority
|
||||
urgency_order = {
|
||||
ActionUrgency.CRITICAL: 0,
|
||||
ActionUrgency.IMPORTANT: 1,
|
||||
ActionUrgency.NORMAL: 2
|
||||
}
|
||||
actions.sort(key=lambda x: urgency_order.get(x["urgency"], 3))
|
||||
|
||||
return actions
|
||||
|
||||
def _calculate_po_urgency(self, po: Dict[str, Any]) -> str:
|
||||
"""Calculate urgency of PO approval based on delivery date"""
|
||||
required_date = po.get("required_delivery_date")
|
||||
if not required_date:
|
||||
return ActionUrgency.NORMAL
|
||||
|
||||
# Parse date if string
|
||||
if isinstance(required_date, str):
|
||||
required_date = datetime.fromisoformat(required_date.replace('Z', '+00:00'))
|
||||
|
||||
now = datetime.now(timezone.utc)
|
||||
time_until_delivery = required_date - now
|
||||
|
||||
# Critical if needed within 24 hours
|
||||
if time_until_delivery.total_seconds() < 86400: # 24 hours
|
||||
return ActionUrgency.CRITICAL
|
||||
|
||||
# Important if needed within 48 hours
|
||||
if time_until_delivery.total_seconds() < 172800: # 48 hours
|
||||
return ActionUrgency.IMPORTANT
|
||||
|
||||
return ActionUrgency.NORMAL
|
||||
|
||||
async def get_production_timeline(
|
||||
self,
|
||||
tenant_id: str,
|
||||
batches: List[Dict[str, Any]]
|
||||
) -> List[Dict[str, Any]]:
|
||||
"""
|
||||
Transform production batches into timeline format
|
||||
|
||||
Args:
|
||||
tenant_id: Tenant identifier
|
||||
batches: List of production batches for today
|
||||
|
||||
Returns:
|
||||
Timeline-formatted production schedule
|
||||
"""
|
||||
now = datetime.now(timezone.utc)
|
||||
timeline = []
|
||||
|
||||
for batch in batches:
|
||||
# Parse times
|
||||
planned_start = batch.get("planned_start_time")
|
||||
if isinstance(planned_start, str):
|
||||
planned_start = datetime.fromisoformat(planned_start.replace('Z', '+00:00'))
|
||||
|
||||
planned_end = batch.get("planned_end_time")
|
||||
if isinstance(planned_end, str):
|
||||
planned_end = datetime.fromisoformat(planned_end.replace('Z', '+00:00'))
|
||||
|
||||
actual_start = batch.get("actual_start_time")
|
||||
if actual_start and isinstance(actual_start, str):
|
||||
actual_start = datetime.fromisoformat(actual_start.replace('Z', '+00:00'))
|
||||
|
||||
# Determine status and progress
|
||||
status = batch.get("status", "PENDING")
|
||||
progress = 0
|
||||
|
||||
if status == "COMPLETED":
|
||||
progress = 100
|
||||
status_icon = "✅"
|
||||
status_text = "COMPLETED"
|
||||
elif status == "IN_PROGRESS":
|
||||
# Calculate progress based on time elapsed
|
||||
if actual_start and planned_end:
|
||||
total_duration = (planned_end - actual_start).total_seconds()
|
||||
elapsed = (now - actual_start).total_seconds()
|
||||
progress = min(int((elapsed / total_duration) * 100), 99)
|
||||
else:
|
||||
progress = 50
|
||||
status_icon = "🔄"
|
||||
status_text = "IN PROGRESS"
|
||||
else:
|
||||
status_icon = "⏰"
|
||||
status_text = "PENDING"
|
||||
|
||||
timeline.append({
|
||||
"id": batch["id"],
|
||||
"batchNumber": batch.get("batch_number"),
|
||||
"productName": batch.get("product_name"),
|
||||
"quantity": batch.get("planned_quantity"),
|
||||
"unit": "units",
|
||||
"plannedStartTime": planned_start.isoformat() if planned_start else None,
|
||||
"plannedEndTime": planned_end.isoformat() if planned_end else None,
|
||||
"actualStartTime": actual_start.isoformat() if actual_start else None,
|
||||
"status": status,
|
||||
"statusIcon": status_icon,
|
||||
"statusText": status_text,
|
||||
"progress": progress,
|
||||
"readyBy": planned_end.isoformat() if planned_end else None,
|
||||
"priority": batch.get("priority", "MEDIUM"),
|
||||
"reasoning": batch.get("reasoning", "Based on demand forecast")
|
||||
})
|
||||
|
||||
# Sort by planned start time
|
||||
timeline.sort(key=lambda x: x["plannedStartTime"] or "9999")
|
||||
|
||||
return timeline
|
||||
|
||||
async def calculate_insights(
|
||||
self,
|
||||
tenant_id: str,
|
||||
sustainability_data: Dict[str, Any],
|
||||
inventory_data: Dict[str, Any],
|
||||
savings_data: Dict[str, Any]
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
Calculate key insights for the insights grid
|
||||
|
||||
Args:
|
||||
tenant_id: Tenant identifier
|
||||
sustainability_data: Waste and sustainability metrics
|
||||
inventory_data: Inventory status
|
||||
savings_data: Cost savings data
|
||||
|
||||
Returns:
|
||||
Insights formatted for the grid
|
||||
"""
|
||||
# Savings insight
|
||||
weekly_savings = savings_data.get("weekly_savings", 0)
|
||||
savings_trend = savings_data.get("trend_percentage", 0)
|
||||
|
||||
# Inventory insight
|
||||
low_stock_count = inventory_data.get("low_stock_count", 0)
|
||||
out_of_stock_count = inventory_data.get("out_of_stock_count", 0)
|
||||
|
||||
if out_of_stock_count > 0:
|
||||
inventory_status = "⚠️ Stock issues"
|
||||
inventory_detail = f"{out_of_stock_count} out of stock"
|
||||
inventory_color = "red"
|
||||
elif low_stock_count > 0:
|
||||
inventory_status = "Low stock"
|
||||
inventory_detail = f"{low_stock_count} alert{'s' if low_stock_count != 1 else ''}"
|
||||
inventory_color = "amber"
|
||||
else:
|
||||
inventory_status = "All stocked"
|
||||
inventory_detail = "No alerts"
|
||||
inventory_color = "green"
|
||||
|
||||
# Waste insight
|
||||
waste_percentage = sustainability_data.get("waste_percentage", 0)
|
||||
waste_target = sustainability_data.get("target_percentage", 5.0)
|
||||
waste_trend = waste_percentage - waste_target
|
||||
|
||||
# Deliveries insight
|
||||
deliveries_today = inventory_data.get("deliveries_today", 0)
|
||||
next_delivery = inventory_data.get("next_delivery_time")
|
||||
|
||||
return {
|
||||
"savings": {
|
||||
"label": "💰 SAVINGS",
|
||||
"value": f"€{weekly_savings:.0f} this week",
|
||||
"detail": f"+{savings_trend:.0f}% vs. last" if savings_trend > 0 else f"{savings_trend:.0f}% vs. last",
|
||||
"color": "green" if savings_trend > 0 else "amber"
|
||||
},
|
||||
"inventory": {
|
||||
"label": "📦 INVENTORY",
|
||||
"value": inventory_status,
|
||||
"detail": inventory_detail,
|
||||
"color": inventory_color
|
||||
},
|
||||
"waste": {
|
||||
"label": "♻️ WASTE",
|
||||
"value": f"{waste_percentage:.1f}% this month",
|
||||
"detail": f"{waste_trend:+.1f}% vs. goal",
|
||||
"color": "green" if waste_trend <= 0 else "amber"
|
||||
},
|
||||
"deliveries": {
|
||||
"label": "🚚 DELIVERIES",
|
||||
"value": f"{deliveries_today} arriving today",
|
||||
"detail": next_delivery or "None scheduled",
|
||||
"color": "green"
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user