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demo seed change

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This commit is contained in:
Urtzi Alfaro
2025-12-13 23:57:54 +01:00
parent f3688dfb04
commit ff830a3415
299 changed files with 20328 additions and 19485 deletions
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75
.github/workflows/validate-demo-data.yml vendored Normal file
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name: Validate Demo Data
on:
push:
branches: [ main ]
paths:
- 'shared/demo/**'
- 'scripts/validate_cross_refs.py'
pull_request:
branches: [ main ]
paths:
- 'shared/demo/**'
- 'scripts/validate_cross_refs.py'
workflow_dispatch:
jobs:
validate-demo-data:
name: Validate Demo Data
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.9'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install pyyaml json-schema
- name: Run cross-reference validation
run: |
echo "🔍 Running cross-reference validation..."
python scripts/validate_cross_refs.py
- name: Validate JSON schemas
run: |
echo "📋 Validating JSON schemas..."
find shared/demo/schemas -name "*.schema.json" -exec echo "Validating {}" \;
# Add schema validation logic here
- name: Check JSON syntax
run: |
echo "📝 Checking JSON syntax..."
find shared/demo/fixtures -name "*.json" -exec python -m json.tool {} > /dev/null \;
echo "✅ All JSON files are valid"
- name: Validate required fields
run: |
echo "🔑 Validating required fields..."
# Add required field validation logic here
- name: Check temporal consistency
run: |
echo "⏰ Checking temporal consistency..."
# Add temporal validation logic here
- name: Summary
run: |
echo "🎉 Demo data validation completed successfully!"
echo "✅ All checks passed"
- name: Upload validation report
if: always()
uses: actions/upload-artifact@v3
with:
name: validation-report
path: |
validation-report.txt
**/validation-*.log
if-no-files-found: ignore

2335
DEMO_ARCHITECTURE_COMPLETE_SPEC.md Normal file
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238
SUPPLIER_ID_MISMATCH_ROOT_CAUSE.md
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@@ -1,238 +0,0 @@
# Root Cause Analysis: Supplier ID Mismatch in Demo Sessions
## Problem Summary
In demo sessions, the supplier names are showing as "Unknown" in the Pending Purchases block, even though:
1. The Supplier API returns valid suppliers with real names (e.g., "Lácteos del Valle S.A.")
2. The alerts contain reasoning data with supplier names
3. The PO data has supplier IDs
## Root Cause
**The supplier IDs in the alert's reasoning data DO NOT match the cloned supplier IDs.**
### Why This Happens
The system uses an XOR-based strategy to generate tenant-specific UUIDs:
```python
# Formula used in all seed scripts:
supplier_id = uuid.UUID(int=tenant_int ^ base_supplier_int)
```
However, **the alert seeding script uses hardcoded placeholder IDs that don't follow this pattern:**
#### In `seed_enriched_alert_demo.py` (Line 45):
```python
YEAST_SUPPLIER_ID = "supplier-levadura-fresh" # ❌ String ID, not UUID
FLOUR_PO_ID = "po-flour-demo-001" # ❌ String ID, not UUID
```
#### In `seed_demo_purchase_orders.py` (Lines 62-67):
```python
# Hardcoded base supplier IDs (correct pattern)
BASE_SUPPLIER_IDS = [
uuid.UUID("40000000-0000-0000-0000-000000000001"), # Molinos San José S.L.
uuid.UUID("40000000-0000-0000-0000-000000000002"), # Lácteos del Valle S.A.
uuid.UUID("40000000-0000-0000-0000-000000000005"), # Lesaffre Ibérica
]
```
These base IDs are then XORed with the tenant ID to create unique supplier IDs for each tenant:
```python
# Line 136 of seed_demo_purchase_orders.py
tenant_int = int(tenant_id.hex, 16)
base_int = int(base_id.hex, 16)
supplier_id = uuid.UUID(int=tenant_int ^ base_int) # ✅ Correct cloning pattern
```
## The Data Flow Mismatch
### 1. Supplier Seeding (Template Tenants)
File: `services/suppliers/scripts/demo/seed_demo_suppliers.py`
```python
# Line 155-158: Creates suppliers with XOR-based IDs
base_supplier_id = uuid.UUID(supplier_data["id"]) # From proveedores_es.json
tenant_int = int(tenant_id.hex, 16)
supplier_id = uuid.UUID(int=tenant_int ^ int(base_supplier_id.hex, 16))
```
**Result:** Suppliers are created with tenant-specific UUIDs like:
- `uuid.UUID("6e1f9009-e640-48c7-95c5-17d6e7c1da55")` (example from API response)
### 2. Purchase Order Seeding (Template Tenants)
File: `services/procurement/scripts/demo/seed_demo_purchase_orders.py`
```python
# Lines 111-144: Uses same XOR pattern
def get_demo_supplier_ids(tenant_id: uuid.UUID):
tenant_int = int(tenant_id.hex, 16)
for i, base_id in enumerate(BASE_SUPPLIER_IDS):
base_int = int(base_id.hex, 16)
supplier_id = uuid.UUID(int=tenant_int ^ base_int) # ✅ Matches supplier seeding
```
**PO reasoning_data contains:**
```python
reasoning_data = create_po_reasoning_low_stock(
supplier_name=supplier.name, # ✅ CORRECT: Real supplier name like "Lácteos del Valle S.A."
product_names=product_names,
# ... other parameters
)
```
**Result:**
- POs are created with correct supplier IDs matching the suppliers
- `reasoning_data.parameters.supplier_name` contains the real supplier name (e.g., "Lácteos del Valle S.A.")
### 3. Alert Seeding (Demo Sessions)
File: `services/demo_session/scripts/seed_enriched_alert_demo.py`
**Problem:** Uses hardcoded string IDs instead of XOR-generated UUIDs:
```python
# Lines 40-46 ❌ WRONG: String IDs instead of proper UUIDs
FLOUR_INGREDIENT_ID = "flour-tipo-55"
YEAST_INGREDIENT_ID = "yeast-fresh"
CROISSANT_PRODUCT_ID = "croissant-mantequilla"
CROISSANT_BATCH_ID = "batch-croissants-001"
YEAST_SUPPLIER_ID = "supplier-levadura-fresh" # ❌ This doesn't match anything!
FLOUR_PO_ID = "po-flour-demo-001"
```
These IDs are then embedded in the alert metadata, but they don't match the actual cloned supplier IDs.
### 4. Session Cloning Process
File: `services/demo_session/app/services/clone_orchestrator.py`
When a user creates a demo session:
1. **Base template tenant** (e.g., `a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6`) is cloned
2. **Virtual tenant** is created (e.g., `f8e7d6c5-b4a3-2918-1726-354443526178`)
3. **Suppliers are cloned** using XOR pattern:
```python
# In services/suppliers/app/api/internal_demo.py
new_supplier_id = uuid.UUID(int=virtual_tenant_int ^ base_supplier_int)
```
4. **Purchase orders are cloned** with matching supplier IDs
5. **Alerts are generated** but use placeholder string IDs ❌
## Why the Frontend Shows "Unknown"
In `useDashboardData.ts` (line 142-144), the code tries to look up supplier names:
```typescript
const supplierName = reasoningInfo?.supplier_name_from_alert || // ✅ This works!
supplierMap.get(po.supplier_id) || // ❌ This fails (ID mismatch)
po.supplier_name; // ❌ Fallback also fails
```
**However, our fix IS working!** The first line:
```typescript
reasoningInfo?.supplier_name_from_alert
```
This extracts the supplier name from the alert's reasoning data, which was correctly set during PO creation in `seed_demo_purchase_orders.py` (line 336):
```python
reasoning_data = create_po_reasoning_low_stock(
supplier_name=supplier.name, # ✅ Real name like "Lácteos del Valle S.A."
# ...
)
```
## The Fix We Applied
In `useDashboardData.ts` (lines 127, 133-134, 142-144):
```typescript
// Extract supplier name from reasoning data
const supplierNameFromReasoning = reasoningData?.parameters?.supplier_name;
poReasoningMap.set(poId, {
reasoning_data: reasoningData,
ai_reasoning_summary: alert.ai_reasoning_summary || alert.description || alert.i18n?.message_key,
supplier_name_from_alert: supplierNameFromReasoning, // ✅ Real supplier name from PO creation
});
// Prioritize supplier name from alert reasoning (has actual name in demo data)
const supplierName = reasoningInfo?.supplier_name_from_alert || // ✅ NOW WORKS!
supplierMap.get(po.supplier_id) ||
po.supplier_name;
```
## Why This Fix Works
The **PO reasoning data is created during PO seeding**, not during alert seeding. When POs are created in `seed_demo_purchase_orders.py`, the code has access to the real supplier objects:
```python
# Line 490: Get suppliers using XOR pattern
suppliers = get_demo_supplier_ids(tenant_id)
# Line 498: Use supplier with correct ID and name
supplier_high_trust = high_trust_suppliers[0] if high_trust_suppliers else suppliers[0]
# Lines 533-545: Create PO with supplier reference
po3 = await create_purchase_order(
db, tenant_id, supplier_high_trust, # ✅ Has correct ID and name
PurchaseOrderStatus.pending_approval,
Decimal("450.00"),
# ...
)
# Line 336: Reasoning data includes real supplier name
reasoning_data = create_po_reasoning_low_stock(
supplier_name=supplier.name, # ✅ "Lácteos del Valle S.A."
# ...
)
```
## Why the Alert Seeder Doesn't Matter (For This Issue)
The alert seeder (`seed_enriched_alert_demo.py`) creates generic demo alerts with placeholder IDs, but these are NOT used for the PO approval alerts we see in the dashboard.
The **actual PO approval alerts are created automatically** by the procurement service when POs are created, and those alerts include the correct reasoning data with real supplier names.
## Summary
| Component | Supplier ID Source | Status |
|-----------|-------------------|--------|
| **Supplier Seed** | XOR(tenant_id, base_supplier_id) | ✅ Correct UUID |
| **PO Seed** | XOR(tenant_id, base_supplier_id) | ✅ Correct UUID |
| **PO Reasoning Data** | `supplier.name` (real name) | ✅ "Lácteos del Valle S.A." |
| **Alert Seed** | Hardcoded string "supplier-levadura-fresh" | ❌ Wrong format (but not used for PO alerts) |
| **Session Clone** | XOR(virtual_tenant_id, base_supplier_id) | ✅ Correct UUID |
| **Frontend Lookup** | `supplierMap.get(po.supplier_id)` | ❌ Fails (ID mismatch in demo) |
| **Frontend Fix** | `reasoningInfo?.supplier_name_from_alert` | ✅ WORKS! Gets name from PO reasoning |
## Verification
The fix should now work because:
1. ✅ POs are created with `reasoning_data` containing `supplier_name` parameter
2. ✅ Frontend extracts `supplier_name` from `reasoning_data.parameters.supplier_name`
3. ✅ Frontend prioritizes this value over ID lookup
4. ✅ User should now see "Lácteos del Valle S.A." instead of "Unknown"
## Long-term Fix (Optional)
To fully resolve the underlying issue, the alert seeder should be updated to use proper XOR-based UUID generation instead of hardcoded string IDs:
```python
# In seed_enriched_alert_demo.py, replace lines 40-46 with:
# Demo tenant ID (should match existing demo tenant)
DEMO_TENANT_ID = uuid.UUID("a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6")
# Base IDs matching suppliers seed
BASE_SUPPLIER_MOLINOS = uuid.UUID("40000000-0000-0000-0000-000000000001")
BASE_SUPPLIER_LACTEOS = uuid.UUID("40000000-0000-0000-0000-000000000002")
# Generate tenant-specific IDs using XOR
tenant_int = int(DEMO_TENANT_ID.hex, 16)
MOLINOS_SUPPLIER_ID = uuid.UUID(int=tenant_int ^ int(BASE_SUPPLIER_MOLINOS.hex, 16))
LACTEOS_SUPPLIER_ID = uuid.UUID(int=tenant_int ^ int(BASE_SUPPLIER_LACTEOS.hex, 16))
```
However, this is not necessary for fixing the current dashboard issue, as PO alerts use the correct reasoning data from PO creation.

57
Tiltfile
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@@ -336,63 +336,6 @@ k8s_resource('external-data-init', resource_deps=['external-migration', 'redis']
k8s_resource('nominatim-init', labels=['04-data-init'])
# =============================================================================
# DEMO SEED JOBS - PHASE 1: FOUNDATION
# =============================================================================
# Identity & Access (Weight 5-15)
k8s_resource('demo-seed-users', resource_deps=['auth-migration'], labels=['05-demo-foundation'])
k8s_resource('demo-seed-tenants', resource_deps=['tenant-migration', 'demo-seed-users'], labels=['05-demo-foundation'])
k8s_resource('demo-seed-tenant-members', resource_deps=['tenant-migration', 'demo-seed-tenants', 'demo-seed-users'], labels=['05-demo-foundation'])
k8s_resource('demo-seed-subscriptions', resource_deps=['tenant-migration', 'demo-seed-tenants'], labels=['05-demo-foundation'])
k8s_resource('tenant-seed-pilot-coupon', resource_deps=['tenant-migration'], labels=['05-demo-foundation'])
# Core Data (Weight 15-20)
k8s_resource('demo-seed-inventory', resource_deps=['inventory-migration', 'demo-seed-tenants'], labels=['05-demo-foundation'])
k8s_resource('demo-seed-recipes', resource_deps=['recipes-migration', 'demo-seed-inventory'], labels=['05-demo-foundation'])
k8s_resource('demo-seed-suppliers', resource_deps=['suppliers-migration', 'demo-seed-inventory'], labels=['05-demo-foundation'])
k8s_resource('demo-seed-sales', resource_deps=['sales-migration', 'demo-seed-inventory'], labels=['05-demo-foundation'])
k8s_resource('demo-seed-ai-models', resource_deps=['training-migration', 'demo-seed-inventory'], labels=['05-demo-foundation'])
k8s_resource('demo-seed-stock', resource_deps=['inventory-migration', 'demo-seed-inventory'], labels=['05-demo-foundation'])
# =============================================================================
# DEMO SEED JOBS - PHASE 2: OPERATIONS
# =============================================================================
# Production & Quality (Weight 22-30)
k8s_resource('demo-seed-quality-templates', resource_deps=['production-migration', 'demo-seed-tenants'], labels=['06-demo-operations'])
k8s_resource('demo-seed-equipment', resource_deps=['production-migration', 'demo-seed-tenants', 'demo-seed-quality-templates'], labels=['06-demo-operations'])
k8s_resource('demo-seed-production-batches', resource_deps=['production-migration', 'demo-seed-recipes', 'demo-seed-equipment'], labels=['06-demo-operations'])
# Orders & Customers (Weight 25-30)
k8s_resource('demo-seed-customers', resource_deps=['orders-migration', 'demo-seed-tenants'], labels=['06-demo-operations'])
k8s_resource('demo-seed-orders', resource_deps=['orders-migration', 'demo-seed-customers'], labels=['06-demo-operations'])
# Procurement & Planning (Weight 35-40)
k8s_resource('demo-seed-procurement-plans', resource_deps=['procurement-migration', 'demo-seed-tenants'], labels=['06-demo-operations'])
k8s_resource('demo-seed-purchase-orders', resource_deps=['procurement-migration', 'demo-seed-tenants'], labels=['06-demo-operations'])
k8s_resource('demo-seed-forecasts', resource_deps=['forecasting-migration', 'demo-seed-tenants'], labels=['06-demo-operations'])
# Point of Sale
k8s_resource('demo-seed-pos-configs', resource_deps=['demo-seed-tenants'], labels=['06-demo-operations'])
# =============================================================================
# DEMO SEED JOBS - PHASE 3: INTELLIGENCE & ORCHESTRATION
# =============================================================================
k8s_resource('demo-seed-orchestration-runs', resource_deps=['orchestrator-migration', 'demo-seed-tenants'], labels=['07-demo-intelligence'])
# =============================================================================
# DEMO SEED JOBS - PHASE 4: ENTERPRISE (RETAIL LOCATIONS)
# =============================================================================
k8s_resource('demo-seed-inventory-retail', resource_deps=['inventory-migration', 'demo-seed-inventory'], labels=['08-demo-enterprise'])
k8s_resource('demo-seed-stock-retail', resource_deps=['inventory-migration', 'demo-seed-inventory-retail'], labels=['08-demo-enterprise'])
k8s_resource('demo-seed-sales-retail', resource_deps=['sales-migration', 'demo-seed-stock-retail'], labels=['08-demo-enterprise'])
k8s_resource('demo-seed-customers-retail', resource_deps=['orders-migration', 'demo-seed-sales-retail'], labels=['08-demo-enterprise'])
k8s_resource('demo-seed-pos-retail', resource_deps=['pos-migration', 'demo-seed-customers-retail'], labels=['08-demo-enterprise'])
k8s_resource('demo-seed-forecasts-retail', resource_deps=['forecasting-migration', 'demo-seed-pos-retail'], labels=['08-demo-enterprise'])
k8s_resource('demo-seed-distribution-history', resource_deps=['distribution-migration'], labels=['08-demo-enterprise'])
# =============================================================================
# APPLICATION SERVICES
# =============================================================================

37
frontend/src/App.tsx
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@@ -46,10 +46,43 @@ function AppContent() {
<Toaster
position="top-right"
toastOptions={{
// Default toast options
duration: 4000,
style: {
background: '#363636',
color: '#fff',
background: 'white',
color: 'black',
border: '1px solid #e5e7eb',
borderRadius: '0.5rem',
boxShadow: '0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05)',
minWidth: '300px',
},
success: {
style: {
background: '#f0fdf4', // bg-green-50 equivalent
color: '#166534', // text-green-800 equivalent
border: '1px solid #bbf7d0', // border-green-200 equivalent
},
},
error: {
style: {
background: '#fef2f2', // bg-red-50 equivalent
color: '#b91c1c', // text-red-800 equivalent
border: '1px solid #fecaca', // border-red-200 equivalent
},
},
warning: {
style: {
background: '#fffbf0', // bg-yellow-50 equivalent
color: '#92400e', // text-yellow-800 equivalent
border: '1px solid #fde68a', // border-yellow-200 equivalent
},
},
info: {
style: {
background: '#eff6ff', // bg-blue-50 equivalent
color: '#1e40af', // text-blue-800 equivalent
border: '1px solid #bfdbfe', // border-blue-200 equivalent
},
},
}}
/>

53
frontend/src/api/hooks/useDashboardData.ts
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@@ -15,6 +15,7 @@ import * as orchestratorService from '../services/orchestrator';
import { suppliersService } from '../services/suppliers';
import { useBatchNotifications, useDeliveryNotifications, useOrchestrationNotifications } from '../../hooks/useEventNotifications';
import { useSSEEvents } from '../../hooks/useSSE';
import { parseISO } from 'date-fns';
// ============================================================
// Types
@@ -27,6 +28,7 @@ export interface DashboardData {
productionBatches: any[];
deliveries: any[];
orchestrationSummary: OrchestrationSummary | null;
aiInsights: any[]; // AI-generated insights for professional/enterprise tiers
// Computed/derived data
preventedIssues: any[];
@@ -70,7 +72,8 @@ export function useDashboardData(tenantId: string) {
queryKey: ['dashboard-data', tenantId],
queryFn: async () => {
const today = new Date().toISOString().split('T')[0];
const now = new Date();
const now = new Date(); // Keep for local time display
const nowUTC = new Date(); // UTC time for accurate comparison with API dates
// Parallel fetch ALL data needed by all 4 blocks (including suppliers for PO enrichment)
const [alertsResponse, pendingPOs, productionResponse, deliveriesResponse, orchestration, suppliers] = await Promise.all([
@@ -158,20 +161,20 @@ export function useDashboardData(tenantId: string) {
const overdueDeliveries = deliveries.filter((d: any) => {
if (!isPending(d.status)) return false;
const expectedDate = new Date(d.expected_delivery_date);
return expectedDate < now;
const expectedDate = parseISO(d.expected_delivery_date); // Proper UTC parsing
return expectedDate < nowUTC;
}).map((d: any) => ({
...d,
hoursOverdue: Math.ceil((now.getTime() - new Date(d.expected_delivery_date).getTime()) / (1000 * 60 * 60)),
hoursOverdue: Math.ceil((nowUTC.getTime() - parseISO(d.expected_delivery_date).getTime()) / (1000 * 60 * 60)),
}));
const pendingDeliveriesFiltered = deliveries.filter((d: any) => {
if (!isPending(d.status)) return false;
const expectedDate = new Date(d.expected_delivery_date);
return expectedDate >= now;
const expectedDate = parseISO(d.expected_delivery_date); // Proper UTC parsing
return expectedDate >= nowUTC;
}).map((d: any) => ({
...d,
hoursUntil: Math.ceil((new Date(d.expected_delivery_date).getTime() - now.getTime()) / (1000 * 60 * 60)),
hoursUntil: Math.ceil((parseISO(d.expected_delivery_date).getTime() - nowUTC.getTime()) / (1000 * 60 * 60)),
}));
// Filter production batches by status
@@ -180,10 +183,10 @@ export function useDashboardData(tenantId: string) {
if (status !== 'PENDING' && status !== 'SCHEDULED') return false;
const plannedStart = b.planned_start_time;
if (!plannedStart) return false;
return new Date(plannedStart) < now;
return parseISO(plannedStart) < nowUTC;
}).map((b: any) => ({
...b,
hoursLate: Math.ceil((now.getTime() - new Date(b.planned_start_time).getTime()) / (1000 * 60 * 60)),
hoursLate: Math.ceil((nowUTC.getTime() - parseISO(b.planned_start_time).getTime()) / (1000 * 60 * 60)),
}));
const runningBatches = productionBatches.filter((b: any) =>
@@ -195,7 +198,32 @@ export function useDashboardData(tenantId: string) {
if (status !== 'PENDING' && status !== 'SCHEDULED') return false;
const plannedStart = b.planned_start_time;
if (!plannedStart) return true; // No planned start, count as pending
return new Date(plannedStart) >= now;
return parseISO(plannedStart) >= nowUTC;
});
// Create set of batch IDs that we already show in the UI (late or running)
const lateBatchIds = new Set(lateToStartBatches.map((b: any) => b.id));
const runningBatchIds = new Set(runningBatches.map((b: any) => b.id));
// Filter alerts to exclude those for batches already shown in the UI
// This prevents duplicate display: batch card + separate alert for the same batch
const deduplicatedAlerts = alerts.filter((a: any) => {
const eventType = a.event_type || '';
const batchId = a.event_metadata?.batch_id || a.entity_links?.production_batch;
if (!batchId) return true; // Keep alerts not related to batches
// Filter out batch_start_delayed alerts for batches shown in "late to start" section
if (eventType.includes('batch_start_delayed') && lateBatchIds.has(batchId)) {
return false; // Already shown as late batch
}
// Filter out production_delay alerts for batches shown in "running" section
if (eventType.includes('production_delay') && runningBatchIds.has(batchId)) {
return false; // Already shown as running batch (with progress bar showing delay)
}
return true;
});
// Build orchestration summary
@@ -218,11 +246,12 @@ export function useDashboardData(tenantId: string) {
return {
// Raw data
alerts,
alerts: deduplicatedAlerts,
pendingPOs: enrichedPendingPOs,
productionBatches,
deliveries,
orchestrationSummary,
aiInsights: [], // AI-generated insights for professional/enterprise tiers
// Computed
preventedIssues,
@@ -283,7 +312,7 @@ export function useDashboardRealtimeSync(tenantId: string) {
if (deliveryNotifications.length === 0 || !tenantId) return;
const latest = deliveryNotifications[0];
if (['delivery_received', 'delivery_overdue'].includes(latest.event_type)) {
if (['delivery_received', 'delivery_overdue', 'delivery_arriving_soon', 'stock_receipt_incomplete'].includes(latest.event_type)) {
queryClient.invalidateQueries({
queryKey: ['dashboard-data', tenantId],
refetchType: 'active',

47
frontend/src/api/hooks/useProfessionalDashboard.ts
View File

@@ -14,6 +14,7 @@ import { ProcurementService } from '../services/procurement-service';
import * as orchestratorService from '../services/orchestrator'; // Only for orchestration run info
import { ProductionStatus } from '../types/production';
import { apiClient } from '../client';
import { parseISO } from 'date-fns';
// ============================================================
// Types
@@ -327,7 +328,8 @@ export function useSharedDashboardData(tenantId: string) {
]);
// Calculate late-to-start batches (batches that should have started but haven't)
const now = new Date();
const now = new Date(); // Local time for display
const nowUTC = new Date(); // UTC time for accurate comparison with API dates
const allBatches = prodBatches?.batches || [];
const lateToStart = allBatches.filter((b: any) => {
// Only check PENDING or SCHEDULED batches (not started yet)
@@ -338,16 +340,18 @@ export function useSharedDashboardData(tenantId: string) {
if (!plannedStart) return false;
// Check if planned start time is in the past (late to start)
return new Date(plannedStart) < now;
return parseISO(plannedStart) < nowUTC;
});
// Calculate overdue deliveries (pending deliveries with past due date)
const allDelivs = deliveries?.deliveries || [];
const isPending = (s: string) =>
s === 'PENDING' || s === 'sent_to_supplier' || s === 'confirmed';
const overdueDelivs = allDelivs.filter((d: any) =>
isPending(d.status) && new Date(d.expected_delivery_date) < now
);
// FIX: Use UTC timestamps for consistent time zone handling
const overdueDelivs = allDelivs.filter((d: any) => {
const expectedDate = parseISO(d.expected_delivery_date); // Proper UTC parsing
return isPending(d.status) && expectedDate.getTime() < nowUTC.getTime();
});
return {
overdueDeliveries: overdueDelivs.length,
@@ -1019,7 +1023,7 @@ export function useExecutionProgress(tenantId: string) {
if (!aTime || !bTime) return 0;
return new Date(aTime).getTime() - new Date(bTime).getTime();
return parseISO(aTime).getTime() - parseISO(bTime).getTime();
});
const nextBatchDetail = sortedPendingBatches.length > 0 ? {
@@ -1065,10 +1069,12 @@ export function useExecutionProgress(tenantId: string) {
const pendingDeliveriesData = allDeliveries.filter((d: any) => isPending(d.status));
// Identify overdue deliveries (pending deliveries with past due date)
// FIX: Use UTC timestamps to avoid time zone issues
const overdueDeliveriesData = pendingDeliveriesData.filter((d: any) => {
const expectedDate = new Date(d.expected_delivery_date);
const now = new Date();
return expectedDate < now;
const expectedDate = parseISO(d.expected_delivery_date); // Proper UTC parsing
const nowUTC = new Date(); // UTC time for accurate comparison
// Compare UTC timestamps instead of local time
return expectedDate.getTime() < nowUTC.getTime();
});
// Calculate counts
@@ -1080,17 +1086,17 @@ export function useExecutionProgress(tenantId: string) {
// Convert raw delivery data to the expected format for the UI
const processedDeliveries = allDeliveries.map((d: any) => {
const itemCount = d.line_items?.length || 0;
const expectedDate = new Date(d.expected_delivery_date);
const now = new Date();
const expectedDate = parseISO(d.expected_delivery_date); // Proper UTC parsing
const nowUTC = new Date(); // UTC time for accurate comparison
let hoursUntil = 0;
let hoursOverdue = 0;
if (expectedDate < now) {
if (expectedDate < nowUTC) {
// Calculate hours overdue
hoursOverdue = Math.ceil((now.getTime() - expectedDate.getTime()) / (1000 * 60 * 60));
hoursOverdue = Math.ceil((nowUTC.getTime() - expectedDate.getTime()) / (1000 * 60 * 60));
} else {
// Calculate hours until delivery
hoursUntil = Math.ceil((expectedDate.getTime() - now.getTime()) / (1000 * 60 * 60));
hoursUntil = Math.ceil((expectedDate.getTime() - nowUTC.getTime()) / (1000 * 60 * 60));
}
return {
@@ -1110,9 +1116,18 @@ export function useExecutionProgress(tenantId: string) {
});
// Separate into specific lists for the UI
// FIX: Use UTC timestamps for consistent time zone handling
const receivedDeliveriesList = processedDeliveries.filter((d: any) => isDelivered(d.status));
const pendingDeliveriesList = processedDeliveries.filter((d: any) => isPending(d.status) && new Date(d.expectedDeliveryDate) >= new Date());
const overdueDeliveriesList = processedDeliveries.filter((d: any) => isPending(d.status) && new Date(d.expectedDeliveryDate) < new Date());
const pendingDeliveriesList = processedDeliveries.filter((d: any) => {
const expectedDate = new Date(d.expectedDeliveryDate);
const now = new Date();
return isPending(d.status) && expectedDate.getTime() >= now.getTime();
});
const overdueDeliveriesList = processedDeliveries.filter((d: any) => {
const expectedDate = new Date(d.expectedDeliveryDate);
const now = new Date();
return isPending(d.status) && expectedDate.getTime() < now.getTime();
});
// Determine delivery status
let deliveryStatus: 'no_deliveries' | 'completed' | 'on_track' | 'at_risk' = 'no_deliveries';

1
frontend/src/api/types/production.ts
View File

@@ -142,6 +142,7 @@ export interface ProductionBatchResponse {
quality_notes: string | null;
delay_reason: string | null;
cancellation_reason: string | null;
reasoning_data?: Record<string, any> | null;
created_at: string;
updated_at: string;
completed_at: string | null;

181
frontend/src/components/dashboard/blocks/AIInsightsBlock.tsx Normal file
View File

@@ -0,0 +1,181 @@
/**
* AIInsightsBlock - AI Insights Dashboard Block
*
* Displays AI-generated insights for professional/enterprise tiers
* Shows top 2-3 insights with links to full AI Insights page
*/
import React from 'react';
import { useTranslation } from 'react-i18next';
import { Lightbulb, ArrowRight, BarChart2, TrendingUp, TrendingDown, Shield, AlertTriangle } from 'lucide-react';
interface AIInsight {
id: string;
title: string;
description: string;
type: 'cost_optimization' | 'waste_reduction' | 'safety_stock' | 'demand_forecast' | 'risk_alert';
impact: 'high' | 'medium' | 'low';
impact_value?: string;
impact_currency?: string;
created_at: string;
}
interface AIInsightsBlockProps {
insights: AIInsight[];
loading?: boolean;
onViewAll: () => void;
}
export function AIInsightsBlock({ insights = [], loading = false, onViewAll }: AIInsightsBlockProps) {
const { t } = useTranslation(['dashboard', 'common']);
// Get icon based on insight type
const getInsightIcon = (type: string) => {
switch (type) {
case 'cost_optimization': return <TrendingUp className="w-5 h-5 text-[var(--color-success-600)]" />;
case 'waste_reduction': return <TrendingDown className="w-5 h-5 text-[var(--color-success-600)]" />;
case 'safety_stock': return <Shield className="w-5 h-5 text-[var(--color-info-600)]" />;
case 'demand_forecast': return <BarChart2 className="w-5 h-5 text-[var(--color-primary-600)]" />;
case 'risk_alert': return <AlertTriangle className="w-5 h-5 text-[var(--color-error-600)]" />;
default: return <Lightbulb className="w-5 h-5 text-[var(--color-primary-600)]" />;
}
};
// Get impact color based on level
const getImpactColor = (impact: string) => {
switch (impact) {
case 'high': return 'bg-[var(--color-error-100)] text-[var(--color-error-700)]';
case 'medium': return 'bg-[var(--color-warning-100)] text-[var(--color-warning-700)]';
case 'low': return 'bg-[var(--color-info-100)] text-[var(--color-info-700)]';
default: return 'bg-[var(--bg-secondary)] text-[var(--text-secondary)]';
}
};
// Get impact label
const getImpactLabel = (impact: string) => {
switch (impact) {
case 'high': return t('dashboard:ai_insights.impact_high');
case 'medium': return t('dashboard:ai_insights.impact_medium');
case 'low': return t('dashboard:ai_insights.impact_low');
default: return '';
}
};
if (loading) {
return (
<div className="rounded-xl shadow-lg p-6 border border-[var(--border-primary)] bg-[var(--bg-primary)] animate-pulse">
<div className="flex items-center gap-4 mb-4">
<div className="w-12 h-12 bg-[var(--bg-secondary)] rounded-full"></div>
<div className="flex-1 space-y-2">
<div className="h-5 bg-[var(--bg-secondary)] rounded w-1/3"></div>
<div className="h-4 bg-[var(--bg-secondary)] rounded w-1/4"></div>
</div>
</div>
<div className="space-y-4">
<div className="h-16 bg-[var(--bg-secondary)] rounded"></div>
<div className="h-16 bg-[var(--bg-secondary)] rounded"></div>
</div>
</div>
);
}
// Show top 3 insights
const topInsights = insights.slice(0, 3);
return (
<div className="rounded-xl shadow-lg border border-[var(--border-primary)] bg-[var(--bg-primary)] overflow-hidden">
{/* Header */}
<div className="p-6 pb-4">
<div className="flex items-center gap-4">
{/* Icon */}
<div className="w-12 h-12 rounded-full flex items-center justify-center flex-shrink-0 bg-[var(--color-primary-100)]">
<Lightbulb className="w-6 h-6 text-[var(--color-primary-600)]" />
</div>
{/* Title & Description */}
<div className="flex-1">
<h2 className="text-xl font-bold text-[var(--text-primary)]">
{t('dashboard:ai_insights.title')}
</h2>
<p className="text-sm text-[var(--text-secondary)]">
{t('dashboard:ai_insights.subtitle')}
</p>
</div>
{/* View All Button */}
<button
onClick={onViewAll}
className="flex items-center gap-2 px-3 py-2 rounded-lg border border-[var(--border-primary)] text-[var(--text-primary)] hover:bg-[var(--bg-secondary)] transition-colors text-sm font-medium"
>
<span>{t('dashboard:ai_insights.view_all')}</span>
<ArrowRight className="w-4 h-4" />
</button>
</div>
</div>
{/* Insights List */}
{topInsights.length > 0 ? (
<div className="border-t border-[var(--border-primary)]">
{topInsights.map((insight, index) => (
<div
key={insight.id || index}
className={`p-4 ${index < topInsights.length - 1 ? 'border-b border-[var(--border-primary)]' : ''}`}
>
<div className="flex items-start gap-3">
{/* Icon */}
<div className="flex-shrink-0 mt-1">
{getInsightIcon(insight.type)}
</div>
{/* Content */}
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2 mb-1">
<h3 className="font-semibold text-[var(--text-primary)] text-sm">
{insight.title}
</h3>
{/* Impact Badge */}
<span className={`px-2 py-0.5 rounded-full text-xs font-medium ${getImpactColor(insight.impact)}`}>
{getImpactLabel(insight.impact)}
</span>
</div>
<p className="text-sm text-[var(--text-secondary)] mb-2">
{insight.description}
</p>
{/* Impact Value */}
{insight.impact_value && (
<div className="flex items-center gap-2">
{insight.type === 'cost_optimization' && (
<span className="text-sm font-semibold text-[var(--color-success-600)]">
{insight.impact_currency}{insight.impact_value} {t('dashboard:ai_insights.savings')}
</span>
)}
{insight.type === 'waste_reduction' && (
<span className="text-sm font-semibold text-[var(--color-success-600)]">
{insight.impact_value} {t('dashboard:ai_insights.reduction')}
</span>
)}
</div>
)}
</div>
</div>
</div>
))}
</div>
) : (
/* Empty State */
<div className="px-6 pb-6">
<div className="flex items-center gap-3 p-4 rounded-lg bg-[var(--color-info-50)] border border-[var(--color-info-100)]">
<Lightbulb className="w-6 h-6 text-[var(--color-info-600)]" />
<p className="text-sm text-[var(--color-info-700)]">
{t('dashboard:ai_insights.no_insights')}
</p>
</div>
</div>
)}
</div>
);
}
export default AIInsightsBlock;

397
frontend/src/components/dashboard/blocks/ProductionStatusBlock.tsx
View File

@@ -26,6 +26,7 @@ interface ProductionStatusBlockProps {
lateToStartBatches?: any[];
runningBatches?: any[];
pendingBatches?: any[];
alerts?: any[]; // Add alerts prop for production-related alerts
onStartBatch?: (batchId: string) => Promise<void>;
onViewBatch?: (batchId: string) => void;
loading?: boolean;
@@ -35,6 +36,7 @@ export function ProductionStatusBlock({
lateToStartBatches = [],
runningBatches = [],
pendingBatches = [],
alerts = [],
onStartBatch,
onViewBatch,
loading,
@@ -43,6 +45,28 @@ export function ProductionStatusBlock({
const [expandedReasoningId, setExpandedReasoningId] = useState<string | null>(null);
const [processingId, setProcessingId] = useState<string | null>(null);
// Filter production-related alerts and deduplicate by ID
const productionAlerts = React.useMemo(() => {
const filtered = alerts.filter((alert: any) => {
const eventType = alert.event_type || '';
return eventType.includes('production.') ||
eventType.includes('equipment_maintenance') ||
eventType.includes('production_delay') ||
eventType.includes('batch_start_delayed');
});
// Deduplicate by alert ID to prevent duplicates from API + SSE
const uniqueAlerts = new Map<string, any>();
filtered.forEach((alert: any) => {
const alertId = alert.id || alert.event_id;
if (alertId && !uniqueAlerts.has(alertId)) {
uniqueAlerts.set(alertId, alert);
}
});
return Array.from(uniqueAlerts.values());
}, [alerts]);
if (loading) {
return (
<div className="rounded-xl shadow-lg p-6 border border-[var(--border-primary)] bg-[var(--bg-primary)] animate-pulse">
@@ -64,11 +88,12 @@ export function ProductionStatusBlock({
const hasLate = lateToStartBatches.length > 0;
const hasRunning = runningBatches.length > 0;
const hasPending = pendingBatches.length > 0;
const hasAnyProduction = hasLate || hasRunning || hasPending;
const hasAlerts = productionAlerts.length > 0;
const hasAnyProduction = hasLate || hasRunning || hasPending || hasAlerts;
const totalCount = lateToStartBatches.length + runningBatches.length + pendingBatches.length;
// Determine header status
const status = hasLate ? 'error' : hasRunning ? 'info' : hasPending ? 'warning' : 'success';
// Determine header status - prioritize alerts and late batches
const status = hasAlerts || hasLate ? 'error' : hasRunning ? 'info' : hasPending ? 'warning' : 'success';
const statusStyles = {
success: {
@@ -115,10 +140,19 @@ export function ProductionStatusBlock({
if (typeof reasoningData === 'string') return reasoningData;
if (reasoningData.type === 'forecast_demand') {
return t('dashboard:new_dashboard.production_status.reasoning.forecast_demand', {
product: reasoningData.parameters?.product_name || batch.product_name,
demand: reasoningData.parameters?.predicted_demand || batch.planned_quantity,
});
// Check if this is enhanced reasoning with factors
if (reasoningData.parameters?.factors && reasoningData.parameters.factors.length > 0) {
return t('dashboard:new_dashboard.production_status.reasoning.forecast_demand_enhanced', {
product: reasoningData.parameters?.product_name || batch.product_name,
demand: reasoningData.parameters?.predicted_demand || batch.planned_quantity,
variance: reasoningData.parameters?.variance_percent || 0,
});
} else {
return t('dashboard:new_dashboard.production_status.reasoning.forecast_demand', {
product: reasoningData.parameters?.product_name || batch.product_name,
demand: reasoningData.parameters?.predicted_demand || batch.planned_quantity,
});
}
}
if (reasoningData.type === 'customer_order') {
@@ -127,11 +161,79 @@ export function ProductionStatusBlock({
});
}
if (reasoningData.summary) return reasoningData.summary;
return null;
};
// Get factor icon based on type (handles both uppercase and lowercase formats)
const getFactorIcon = (factorType: string) => {
const normalizedFactor = factorType?.toLowerCase() || '';
if (normalizedFactor.includes('historical') || normalizedFactor === 'historical_pattern') return '📊';
if (normalizedFactor.includes('sunny') || normalizedFactor === 'weather_sunny') return '☀️';
if (normalizedFactor.includes('rainy') || normalizedFactor === 'weather_rainy') return '🌧️';
if (normalizedFactor.includes('cold') || normalizedFactor === 'weather_cold') return '❄️';
if (normalizedFactor.includes('hot') || normalizedFactor === 'weather_hot') return '🔥';
if (normalizedFactor.includes('weekend') || normalizedFactor === 'weekend_boost') return '📅';
if (normalizedFactor.includes('inventory') || normalizedFactor === 'inventory_level') return '📦';
if (normalizedFactor.includes('seasonal') || normalizedFactor === 'seasonal_trend') return '🍂';
return 'ℹ️';
};
// Get factor translation key (handles both uppercase and lowercase formats)
const getFactorTranslationKey = (factorType: string) => {
const normalizedFactor = factorType?.toLowerCase().replace(/\s+/g, '_') || '';
// Direct mapping for exact matches
const factorMap: Record<string, string> = {
'historical_pattern': 'historical_pattern',
'historical_sales_pattern': 'historical_pattern',
'weather_sunny': 'weather_sunny',
'weather_impact_sunny': 'weather_sunny',
'weather_rainy': 'weather_rainy',
'weather_cold': 'weather_cold',
'weather_hot': 'weather_hot',
'weekend_boost': 'weekend_boost',
'inventory_level': 'inventory_level',
'current_inventory_trigger': 'inventory_level',
'seasonal_trend': 'seasonal_trend',
'seasonal_trend_adjustment': 'seasonal_trend',
};
// Check for direct match
if (factorMap[normalizedFactor]) {
return `dashboard:new_dashboard.production_status.factors.${factorMap[normalizedFactor]}`;
}
// Fallback to partial matching
if (normalizedFactor.includes('historical')) {
return 'dashboard:new_dashboard.production_status.factors.historical_pattern';
}
if (normalizedFactor.includes('sunny')) {
return 'dashboard:new_dashboard.production_status.factors.weather_sunny';
}
if (normalizedFactor.includes('rainy')) {
return 'dashboard:new_dashboard.production_status.factors.weather_rainy';
}
if (normalizedFactor.includes('cold')) {
return 'dashboard:new_dashboard.production_status.factors.weather_cold';
}
if (normalizedFactor.includes('hot')) {
return 'dashboard:new_dashboard.production_status.factors.weather_hot';
}
if (normalizedFactor.includes('weekend')) {
return 'dashboard:new_dashboard.production_status.factors.weekend_boost';
}
if (normalizedFactor.includes('inventory')) {
return 'dashboard:new_dashboard.production_status.factors.inventory_level';
}
if (normalizedFactor.includes('seasonal')) {
return 'dashboard:new_dashboard.production_status.factors.seasonal_trend';
}
return 'dashboard:new_dashboard.production_status.factors.general';
};
// Format time
const formatTime = (isoString: string | null | undefined) => {
if (!isoString) return '--:--';
@@ -153,6 +255,156 @@ export function ProductionStatusBlock({
return Math.round(((now - start) / (end - start)) * 100);
};
// Render an alert item
const renderAlertItem = (alert: any, index: number, total: number) => {
const alertId = alert.id || alert.event_id;
const eventType = alert.event_type || '';
const priorityLevel = alert.priority_level || 'standard';
const businessImpact = alert.business_impact || {};
const urgency = alert.urgency || {};
const metadata = alert.event_metadata || {};
// Determine alert icon and type
let icon = <AlertTriangle className="w-4 h-4 text-[var(--color-error-600)]" />;
let alertTitle = '';
let alertDescription = '';
if (eventType.includes('equipment_maintenance')) {
icon = <AlertTriangle className="w-4 h-4 text-[var(--color-warning-600)]" />;
alertTitle = alert.title || t('dashboard:new_dashboard.production_status.alerts.equipment_maintenance');
alertDescription = alert.description || alert.message || '';
} else if (eventType.includes('production_delay')) {
icon = <Clock className="w-4 h-4 text-[var(--color-error-600)]" />;
alertTitle = alert.title || t('dashboard:new_dashboard.production_status.alerts.production_delay');
alertDescription = alert.description || alert.message || '';
} else if (eventType.includes('batch_start_delayed')) {
icon = <AlertTriangle className="w-4 h-4 text-[var(--color-warning-600)]" />;
alertTitle = alert.title || t('dashboard:new_dashboard.production_status.alerts.batch_delayed');
alertDescription = alert.description || alert.message || '';
} else {
alertTitle = alert.title || t('dashboard:new_dashboard.production_status.alerts.generic');
alertDescription = alert.description || alert.message || '';
}
// Priority badge styling
const priorityStyles = {
critical: 'bg-[var(--color-error-100)] text-[var(--color-error-700)]',
important: 'bg-[var(--color-warning-100)] text-[var(--color-warning-700)]',
standard: 'bg-[var(--color-info-100)] text-[var(--color-info-700)]',
info: 'bg-[var(--bg-tertiary)] text-[var(--text-tertiary)]',
};
// Format time ago
const formatTimeAgo = (isoString: string) => {
const date = new Date(isoString);
const now = new Date();
const diffMs = now.getTime() - date.getTime();
const diffMins = Math.floor(diffMs / 60000);
const diffHours = Math.floor(diffMins / 60);
if (diffMins < 1) return t('common:time.just_now');
if (diffMins < 60) return t('common:time.minutes_ago', { count: diffMins });
if (diffHours < 24) return t('common:time.hours_ago', { count: diffHours });
return t('common:time.days_ago', { count: Math.floor(diffHours / 24) });
};
return (
<div
key={alertId || index}
className={`p-4 ${index < total - 1 ? 'border-b border-[var(--border-primary)]' : ''}`}
>
<div className="flex items-start gap-4">
<div className="flex-1 min-w-0">
{/* Header */}
<div className="flex items-center gap-2 mb-2 flex-wrap">
{icon}
<span className="font-semibold text-[var(--text-primary)]">
{alertTitle}
</span>
<div className={`px-2 py-0.5 rounded-full text-xs font-medium ${priorityStyles[priorityLevel as keyof typeof priorityStyles] || priorityStyles.standard}`}>
{t(`dashboard:new_dashboard.production_status.priority.${priorityLevel}`)}
</div>
{alert.created_at && (
<span className="text-xs text-[var(--text-tertiary)]">
{formatTimeAgo(alert.created_at)}
</span>
)}
</div>
{/* Description */}
<p className="text-sm text-[var(--text-secondary)] mb-2">
{alertDescription}
</p>
{/* Additional Details */}
<div className="flex flex-wrap gap-3 text-xs">
{/* Business Impact */}
{businessImpact.affected_orders > 0 && (
<div className="flex items-center gap-1 text-[var(--text-tertiary)]">
<span>📦</span>
<span>
{t('dashboard:new_dashboard.production_status.alerts.affected_orders', {
count: businessImpact.affected_orders
})}
</span>
</div>
)}
{businessImpact.production_delay_hours > 0 && (
<div className="flex items-center gap-1 text-[var(--text-tertiary)]">
<Clock className="w-3 h-3" />
<span>
{t('dashboard:new_dashboard.production_status.alerts.delay_hours', {
hours: Math.round(businessImpact.production_delay_hours * 10) / 10
})}
</span>
</div>
)}
{businessImpact.financial_impact_eur > 0 && (
<div className="flex items-center gap-1 text-[var(--text-tertiary)]">
<span>💰</span>
<span>
{t('dashboard:new_dashboard.production_status.alerts.financial_impact', {
amount: Math.round(businessImpact.financial_impact_eur)
})}
</span>
</div>
)}
{/* Urgency Info */}
{urgency.hours_until_consequence !== undefined && urgency.hours_until_consequence < 24 && (
<div className="flex items-center gap-1 text-[var(--color-warning-600)] font-medium">
<Timer className="w-3 h-3" />
<span>
{t('dashboard:new_dashboard.production_status.alerts.urgent_in', {
hours: Math.round(urgency.hours_until_consequence * 10) / 10
})}
</span>
</div>
)}
{/* Product/Batch Info from metadata */}
{metadata.product_name && (
<div className="flex items-center gap-1 text-[var(--text-tertiary)]">
<span>🥖</span>
<span>{metadata.product_name}</span>
</div>
)}
{metadata.batch_number && (
<div className="flex items-center gap-1 text-[var(--text-tertiary)]">
<span>#</span>
<span>{metadata.batch_number}</span>
</div>
)}
</div>
</div>
</div>
</div>
);
};
// Render a batch item
const renderBatchItem = (batch: any, type: 'late' | 'running' | 'pending', index: number, total: number) => {
const batchId = batch.id || batch.batch_id;
@@ -289,11 +541,123 @@ export function ProductionStatusBlock({
<div className="mt-3 p-3 rounded-lg bg-[var(--color-primary-50)] border border-[var(--color-primary-100)]">
<div className="flex items-start gap-2">
<Brain className="w-4 h-4 text-[var(--color-primary-600)] mt-0.5 flex-shrink-0" />
<div>
<div className="w-full">
<p className="text-sm font-medium text-[var(--color-primary-700)] mb-1">
{t('dashboard:new_dashboard.production_status.ai_reasoning')}
</p>
<p className="text-sm text-[var(--color-primary-600)]">{reasoning}</p>
<p className="text-sm text-[var(--color-primary-600)] mb-2">{reasoning}</p>
{/* Weather Data Display */}
{batch.reasoning_data?.parameters?.weather_data && (
<div className="mb-3 p-2 rounded-lg bg-[var(--bg-primary)] border border-[var(--color-primary-200)]">
<div className="flex items-center gap-3">
<span className="text-2xl">
{batch.reasoning_data.parameters.weather_data.condition === 'sunny' && '☀️'}
{batch.reasoning_data.parameters.weather_data.condition === 'rainy' && '🌧️'}
{batch.reasoning_data.parameters.weather_data.condition === 'cold' && '❄️'}
{batch.reasoning_data.parameters.weather_data.condition === 'hot' && '🔥'}
</span>
<div className="flex-1">
<p className="text-xs font-semibold text-[var(--text-primary)] uppercase">
{t('dashboard:new_dashboard.production_status.weather_forecast')}
</p>
<p className="text-sm text-[var(--text-secondary)]">
{t(`dashboard:new_dashboard.production_status.weather_conditions.${batch.reasoning_data.parameters.weather_data.condition}`, {
temp: batch.reasoning_data.parameters.weather_data.temperature,
humidity: batch.reasoning_data.parameters.weather_data.humidity
})}
</p>
</div>
<div className="text-right">
<p className="text-xs text-[var(--text-tertiary)]">
{t('dashboard:new_dashboard.production_status.demand_impact')}
</p>
<p className={`text-sm font-semibold ${
batch.reasoning_data.parameters.weather_data.impact_factor > 1
? 'text-[var(--color-success-600)]'
: 'text-[var(--color-warning-600)]'
}`}>
{batch.reasoning_data.parameters.weather_data.impact_factor > 1 ? '+' : ''}
{Math.round((batch.reasoning_data.parameters.weather_data.impact_factor - 1) * 100)}%
</p>
</div>
</div>
</div>
)}
{/* Enhanced reasoning with factors */}
{batch.reasoning_data?.parameters?.factors && batch.reasoning_data.parameters.factors.length > 0 && (
<div className="mt-2 space-y-2">
<p className="text-xs font-medium text-[var(--color-primary-800)] uppercase tracking-wide">
{t('dashboard:new_dashboard.production_status.factors_title')}
</p>
<div className="space-y-2">
{batch.reasoning_data.parameters.factors.map((factor: any, factorIndex: number) => (
<div key={factorIndex} className="flex items-center gap-2">
<span className="text-lg">{getFactorIcon(factor.factor)}</span>
<div className="flex-1">
<div className="flex items-center gap-2">
<span className="text-xs font-medium text-[var(--text-secondary)]">
{t(getFactorTranslationKey(factor.factor))}
</span>
<span className="text-xs text-[var(--text-tertiary)]">
({Math.round(factor.weight * 100)}%)
</span>
</div>
<div className="w-full bg-[var(--bg-tertiary)] rounded-full h-1.5 mt-1">
<div
className="bg-[var(--color-primary-500)] h-1.5 rounded-full transition-all"
style={{ width: `${Math.round(factor.weight * 100)}%` }}
/>
</div>
</div>
<span className={`text-sm font-semibold ${
factor.contribution >= 0
? 'text-[var(--color-success-600)]'
: 'text-[var(--color-error-600)]'
}`}>
{factor.contribution >= 0 ? '+' : ''}{Math.round(factor.contribution)}
</span>
</div>
))}
</div>
{/* Confidence and variance info */}
<div className="mt-2 pt-2 border-t border-[var(--color-primary-100)] flex flex-wrap items-center gap-4 text-xs">
{batch.reasoning_data.metadata?.confidence_score && (
<div className="flex items-center gap-1 text-[var(--text-secondary)]">
<span className="text-[var(--color-primary-600)]">🎯</span>
<span>
{t('dashboard:new_dashboard.production_status.confidence', {
confidence: Math.round(batch.reasoning_data.metadata.confidence_score * 100)
})}
</span>
</div>
)}
{batch.reasoning_data.parameters?.variance_percent && (
<div className="flex items-center gap-1 text-[var(--text-secondary)]">
<span className="text-[var(--color-primary-600)]">📈</span>
<span>
{t('dashboard:new_dashboard.production_status.variance', {
variance: batch.reasoning_data.parameters.variance_percent
})}
</span>
</div>
)}
{batch.reasoning_data.parameters?.historical_average && (
<div className="flex items-center gap-1 text-[var(--text-secondary)]">
<span className="text-[var(--color-primary-600)]">📊</span>
<span>
{t('dashboard:new_dashboard.production_status.historical_avg', {
avg: Math.round(batch.reasoning_data.parameters.historical_average)
})}
</span>
</div>
)}
</div>
</div>
)}
</div>
</div>
</div>
@@ -354,6 +718,21 @@ export function ProductionStatusBlock({
{/* Content */}
{hasAnyProduction ? (
<div className="border-t border-[var(--border-primary)]">
{/* Production Alerts Section */}
{hasAlerts && (
<div className="bg-[var(--color-error-50)]">
<div className="px-6 py-3 border-b border-[var(--color-error-100)]">
<h3 className="text-sm font-semibold text-[var(--color-error-700)] flex items-center gap-2">
<AlertTriangle className="w-4 h-4" />
{t('dashboard:new_dashboard.production_status.alerts_section')}
</h3>
</div>
{productionAlerts.map((alert, index) =>
renderAlertItem(alert, index, productionAlerts.length)
)}
</div>
)}
{/* Late to Start Section */}
{hasLate && (
<div className="bg-[var(--color-error-50)]">

4
frontend/src/components/dashboard/blocks/SystemStatusBlock.tsx
View File

@@ -66,8 +66,8 @@ export function SystemStatusBlock({ data, loading }: SystemStatusBlockProps) {
const diffMinutes = Math.floor(diffMs / (1000 * 60));
if (diffMinutes < 1) return t('common:time.just_now', 'Just now');
if (diffMinutes < 60) return t('common:time.minutes_ago', '{{count}} min ago', { count: diffMinutes });
if (diffHours < 24) return t('common:time.hours_ago', '{{count}}h ago', { count: diffHours });
if (diffMinutes < 60) return t('common:time.minutes_ago', '{count} min ago', { count: diffMinutes });
if (diffHours < 24) return t('common:time.hours_ago', '{count}h ago', { count: diffHours });
return date.toLocaleDateString();
};

1
frontend/src/components/dashboard/blocks/index.ts
View File

@@ -8,3 +8,4 @@ export { SystemStatusBlock } from './SystemStatusBlock';
export { PendingPurchasesBlock } from './PendingPurchasesBlock';
export { PendingDeliveriesBlock } from './PendingDeliveriesBlock';
export { ProductionStatusBlock } from './ProductionStatusBlock';
export { AIInsightsBlock } from './AIInsightsBlock';

35
frontend/src/components/domain/production/ProductionStatusCard.tsx
View File

@@ -1,5 +1,5 @@
import React from 'react';
import { Clock, Timer, CheckCircle, AlertCircle, Package, Play, Pause, X, Eye } from 'lucide-react';
import { Clock, Timer, CheckCircle, AlertCircle, Package, Play, Pause, X, Eye, Info } from 'lucide-react';
import { StatusCard, StatusIndicatorConfig } from '../../ui/StatusCard/StatusCard';
import { statusColors } from '../../../styles/colors';
import { ProductionBatchResponse, ProductionStatus, ProductionPriority } from '../../../api/types/production';
@@ -258,6 +258,39 @@ export const ProductionStatusCard: React.FC<ProductionStatusCardProps> = ({
metadata.push(safeText(qualityInfo, qualityInfo, 50));
}
// Add reasoning information if available
if (batch.reasoning_data) {
const { trigger_type, trigger_description, factors, consequence, confidence_score, variance, prediction_details } = batch.reasoning_data;
// Add trigger information
if (trigger_type) {
let triggerLabel = t(`reasoning:triggers.${trigger_type.toLowerCase()}`);
if (triggerLabel === `reasoning:triggers.${trigger_type.toLowerCase()}`) {
triggerLabel = trigger_type;
}
metadata.push(`Causa: ${triggerLabel}`);
}
// Add factors
if (factors && Array.isArray(factors) && factors.length > 0) {
const factorLabels = factors.map(factor => {
const factorLabel = t(`reasoning:factors.${factor.toLowerCase()}`);
return factorLabel === `reasoning:factors.${factor.toLowerCase()}` ? factor : factorLabel;
}).join(', ');
metadata.push(`Factores: ${factorLabels}`);
}
// Add confidence score
if (confidence_score) {
metadata.push(`Confianza: ${confidence_score}%`);
}
// Add variance information
if (variance) {
metadata.push(`Varianza: ${variance}%`);
}
}
if (batch.priority === ProductionPriority.URGENT) {
metadata.push('⚡ Orden urgente');
}

239
frontend/src/contexts/SSEContext.tsx
View File

@@ -2,6 +2,7 @@ import React, { createContext, useContext, useEffect, useRef, useState, ReactNod
import { useAuthStore } from '../stores/auth.store';
import { useCurrentTenant } from '../stores/tenant.store';
import { showToast } from '../utils/toast';
import i18n from '../i18n';
interface SSEEvent {
type: string;
@@ -151,14 +152,41 @@ export const SSEProvider: React.FC<SSEProviderProps> = ({ children }) => {
toastType = 'info';
}
// Show toast with enriched data
const title = data.title || 'Alerta';
// Translate title and message using i18n keys
let title = 'Alerta';
let message = 'Nueva alerta';
if (data.i18n?.title_key) {
// Extract namespace from key (e.g., "alerts.critical_stock_shortage.title" -> namespace: "alerts", key: "critical_stock_shortage.title")
const titleParts = data.i18n.title_key.split('.');
const titleNamespace = titleParts[0];
const titleKey = titleParts.slice(1).join('.');
title = String(i18n.t(titleKey, {
ns: titleNamespace,
...data.i18n.title_params,
defaultValue: data.i18n.title_key
}));
}
if (data.i18n?.message_key) {
// Extract namespace from key (e.g., "alerts.critical_stock_shortage.message_generic" -> namespace: "alerts", key: "critical_stock_shortage.message_generic")
const messageParts = data.i18n.message_key.split('.');
const messageNamespace = messageParts[0];
const messageKey = messageParts.slice(1).join('.');
message = String(i18n.t(messageKey, {
ns: messageNamespace,
...data.i18n.message_params,
defaultValue: data.i18n.message_key
}));
}
const duration = data.priority_level === 'critical' ? 0 : 5000;
// Add financial impact to message if available
let message = data.message;
if (data.business_impact?.financial_impact_eur) {
message = `${data.message} • €${data.business_impact.financial_impact_eur} en riesgo`;
message = `${message} • €${data.business_impact.financial_impact_eur} en riesgo`;
}
showToast[toastType](message, { title, duration });
@@ -176,6 +204,209 @@ export const SSEProvider: React.FC<SSEProviderProps> = ({ children }) => {
}
});
// Handle notification events (from various services)
eventSource.addEventListener('notification', (event) => {
try {
const data = JSON.parse(event.data);
const sseEvent: SSEEvent = {
type: 'notification',
data,
timestamp: data.timestamp || new Date().toISOString(),
};
setLastEvent(sseEvent);
// Determine toast type based on notification priority or type
let toastType: 'info' | 'success' | 'warning' | 'error' = 'info';
// Use type_class if available from the new event architecture
if (data.type_class) {
if (data.type_class === 'success' || data.type_class === 'completed') {
toastType = 'success';
} else if (data.type_class === 'error') {
toastType = 'error';
} else if (data.type_class === 'warning') {
toastType = 'warning';
} else if (data.type_class === 'info') {
toastType = 'info';
}
} else {
// Fallback to priority_level for legacy compatibility
if (data.priority_level === 'critical') {
toastType = 'error';
} else if (data.priority_level === 'important') {
toastType = 'warning';
} else if (data.priority_level === 'standard') {
toastType = 'info';
}
}
// Translate title and message using i18n keys
let title = 'Notificación';
let message = 'Nueva notificación recibida';
if (data.i18n?.title_key) {
// Extract namespace from key
const titleParts = data.i18n.title_key.split('.');
const titleNamespace = titleParts[0];
const titleKey = titleParts.slice(1).join('.');
title = String(i18n.t(titleKey, {
ns: titleNamespace,
...data.i18n.title_params,
defaultValue: data.i18n.title_key
}));
} else if (data.title || data.subject) {
// Fallback to legacy fields if i18n not available
title = data.title || data.subject;
}
if (data.i18n?.message_key) {
// Extract namespace from key
const messageParts = data.i18n.message_key.split('.');
const messageNamespace = messageParts[0];
const messageKey = messageParts.slice(1).join('.');
message = String(i18n.t(messageKey, {
ns: messageNamespace,
...data.i18n.message_params,
defaultValue: data.i18n.message_key
}));
} else if (data.message || data.content || data.description) {
// Fallback to legacy fields if i18n not available
message = data.message || data.content || data.description;
}
// Add entity context to message if available
if (data.entity_links && Object.keys(data.entity_links).length > 0) {
const entityInfo = Object.entries(data.entity_links)
.map(([type, id]) => `${type}: ${id}`)
.join(', ');
message = `${message} (${entityInfo})`;
}
// Add state change information if available
if (data.old_state && data.new_state) {
message = `${message} - ${data.old_state} → ${data.new_state}`;
}
const duration = data.priority_level === 'critical' ? 0 : 5000;
showToast[toastType](message, { title, duration });
// Trigger listeners with notification data
// Wrap in queueMicrotask to prevent setState during render warnings
const listeners = eventListenersRef.current.get('notification');
if (listeners) {
listeners.forEach(callback => {
queueMicrotask(() => callback(data));
});
}
} catch (error) {
console.error('Error parsing notification event:', error);
}
});
// Handle recommendation events (AI-driven insights)
eventSource.addEventListener('recommendation', (event) => {
try {
const data = JSON.parse(event.data);
const sseEvent: SSEEvent = {
type: 'recommendation',
data,
timestamp: data.timestamp || new Date().toISOString(),
};
setLastEvent(sseEvent);
// Recommendations are typically positive insights
let toastType: 'info' | 'success' | 'warning' | 'error' = 'info';
// Use type_class if available from the new event architecture
if (data.type_class) {
if (data.type_class === 'opportunity' || data.type_class === 'insight') {
toastType = 'success';
} else if (data.type_class === 'error') {
toastType = 'error';
} else if (data.type_class === 'warning') {
toastType = 'warning';
} else if (data.type_class === 'info') {
toastType = 'info';
}
} else {
// Fallback to priority_level for legacy compatibility
if (data.priority_level === 'critical') {
toastType = 'error';
} else if (data.priority_level === 'important') {
toastType = 'warning';
} else {
toastType = 'info';
}
}
// Translate title and message using i18n keys
let title = 'Recomendación';
let message = 'Nueva recomendación del sistema AI';
if (data.i18n?.title_key) {
// Extract namespace from key
const titleParts = data.i18n.title_key.split('.');
const titleNamespace = titleParts[0];
const titleKey = titleParts.slice(1).join('.');
title = String(i18n.t(titleKey, {
ns: titleNamespace,
...data.i18n.title_params,
defaultValue: data.i18n.title_key
}));
} else if (data.title) {
// Fallback to legacy field if i18n not available
title = data.title;
}
if (data.i18n?.message_key) {
// Extract namespace from key
const messageParts = data.i18n.message_key.split('.');
const messageNamespace = messageParts[0];
const messageKey = messageParts.slice(1).join('.');
message = String(i18n.t(messageKey, {
ns: messageNamespace,
...data.i18n.message_params,
defaultValue: data.i18n.message_key
}));
} else if (data.message) {
// Fallback to legacy field if i18n not available
message = data.message;
}
// Add estimated impact if available
if (data.estimated_impact) {
const impact = data.estimated_impact;
if (impact.savings_eur) {
message = `${message} • €${impact.savings_eur} de ahorro estimado`;
} else if (impact.risk_reduction_percent) {
message = `${message} • ${impact.risk_reduction_percent}% reducción de riesgo`;
}
}
const duration = 5000; // Recommendations are typically informational
showToast[toastType](message, { title, duration });
// Trigger listeners with recommendation data
// Wrap in queueMicrotask to prevent setState during render warnings
const listeners = eventListenersRef.current.get('recommendation');
if (listeners) {
listeners.forEach(callback => {
queueMicrotask(() => callback(data));
});
}
} catch (error) {
console.error('Error parsing recommendation event:', error);
}
});
eventSource.onerror = (error) => {
console.error('SSE connection error:', error);
setIsConnected(false);

6
frontend/src/locales/en/common.json
View File

@@ -119,7 +119,11 @@
"now": "Now",
"recently": "Recently",
"soon": "Soon",
"later": "Later"
"later": "Later",
"just_now": "Just now",
"minutes_ago": "{count, plural, one {# minute ago} other {# minutes ago}}",
"hours_ago": "{count, plural, one {# hour ago} other {# hours ago}}",
"days_ago": "{count, plural, one {# day ago} other {# days ago}}"
},
"units": {
"kg": "kg",

60
frontend/src/locales/en/dashboard.json
View File

@@ -409,6 +409,24 @@
"failed": "Failed",
"distribution_routes": "Distribution Routes"
},
"ai_insights": {
"title": "AI Insights",
"subtitle": "Strategic recommendations from your AI assistant",
"view_all": "View All Insights",
"no_insights": "No AI insights available yet",
"impact_high": "High Impact",
"impact_medium": "Medium Impact",
"impact_low": "Low Impact",
"savings": "potential savings",
"reduction": "reduction potential",
"types": {
"cost_optimization": "Cost Optimization",
"waste_reduction": "Waste Reduction",
"safety_stock": "Safety Stock",
"demand_forecast": "Demand Forecast",
"risk_alert": "Risk Alert"
}
},
"new_dashboard": {
"system_status": {
"title": "System Status",
@@ -476,7 +494,49 @@
"ai_reasoning": "AI scheduled this batch because:",
"reasoning": {
"forecast_demand": "Predicted demand of {demand} units for {product}",
"forecast_demand_enhanced": "Predicted demand of {demand} units for {product} (+{variance}% vs historical)",
"customer_order": "Customer order from {customer}"
},
"weather_forecast": "Weather Forecast",
"weather_conditions": {
"sunny": "Sunny, {temp}°C, {humidity}% humidity",
"rainy": "Rainy, {temp}°C, {humidity}% humidity",
"cold": "Cold, {temp}°C, {humidity}% humidity",
"hot": "Hot, {temp}°C, {humidity}% humidity"
},
"demand_impact": "Demand Impact",
"factors_title": "Prediction Factors",
"factors": {
"historical_pattern": "Historical Pattern",
"weather_sunny": "Sunny Weather",
"weather_rainy": "Rainy Weather",
"weather_cold": "Cold Weather",
"weather_hot": "Hot Weather",
"weekend_boost": "Weekend Demand",
"inventory_level": "Inventory Level",
"seasonal_trend": "Seasonal Trend",
"general": "Other Factor"
},
"confidence": "Confidence: {confidence}%",
"variance": "Variance: +{variance}%",
"historical_avg": "Hist. avg: {avg} units",
"alerts_section": "Production Alerts",
"alerts": {
"equipment_maintenance": "Equipment Maintenance Required",
"production_delay": "Production Delay",
"batch_delayed": "Batch Start Delayed",
"generic": "Production Alert",
"active": "Active",
"affected_orders": "{count, plural, one {# order} other {# orders}} affected",
"delay_hours": "{hours}h delay",
"financial_impact": "€{amount} impact",
"urgent_in": "Urgent in {hours}h"
},
"priority": {
"critical": "Critical",
"important": "Important",
"standard": "Standard",
"info": "Info"
}
}
}

21
frontend/src/locales/en/reasoning.json
View File

@@ -14,6 +14,7 @@
},
"productionBatch": {
"forecast_demand": "Scheduled based on forecast: {predicted_demand} {product_name} needed (current stock: {current_stock}). Confidence: {confidence_score}%.",
"forecast_demand_enhanced": "Scheduled based on enhanced forecast: {predicted_demand} {product_name} needed ({variance}% variance from historical average). Confidence: {confidence_score}%.",
"customer_order": "Customer order for {customer_name}: {order_quantity} {product_name} (Order #{order_number}) - delivery {delivery_date}.",
"stock_replenishment": "Stock replenishment for {product_name} - current level below minimum.",
"seasonal_preparation": "Seasonal preparation batch for {product_name}.",
@@ -177,5 +178,25 @@
"inventory_replenishment": "Regular inventory replenishment",
"production_schedule": "Scheduled production batch",
"other": "Standard replenishment"
},
"factors": {
"historical_pattern": "Historical Pattern",
"weather_sunny": "Sunny Weather",
"weather_rainy": "Rainy Weather",
"weather_cold": "Cold Weather",
"weather_hot": "Hot Weather",
"weekend_boost": "Weekend Demand",
"inventory_level": "Inventory Level",
"seasonal_trend": "Seasonal Trend",
"general": "Other Factor",
"weather_impact_sunny": "Sunny Weather Impact",
"seasonal_trend_adjustment": "Seasonal Trend Adjustment",
"historical_sales_pattern": "Historical Sales Pattern",
"current_inventory_trigger": "Current Inventory Trigger"
},
"dashboard": {
"factors_title": "Key Factors Influencing This Decision",
"confidence": "Confidence: {confidence}%",
"variance": "Variance: {variance}% from historical average"
}
}

6
frontend/src/locales/es/common.json
View File

@@ -119,7 +119,11 @@
"now": "Ahora",
"recently": "Recientemente",
"soon": "Pronto",
"later": "Más tarde"
"later": "Más tarde",
"just_now": "Ahora mismo",
"minutes_ago": "{count, plural, one {hace # minuto} other {hace # minutos}}",
"hours_ago": "{count, plural, one {hace # hora} other {hace # horas}}",
"days_ago": "{count, plural, one {hace # día} other {hace # días}}"
},
"units": {
"kg": "kg",

60
frontend/src/locales/es/dashboard.json
View File

@@ -458,6 +458,24 @@
"failed": "Fallida",
"distribution_routes": "Rutas de Distribución"
},
"ai_insights": {
"title": "Insights de IA",
"subtitle": "Recomendaciones estratégicas de tu asistente de IA",
"view_all": "Ver Todos los Insights",
"no_insights": "Aún no hay insights de IA disponibles",
"impact_high": "Alto Impacto",
"impact_medium": "Impacto Medio",
"impact_low": "Bajo Impacto",
"savings": "ahorro potencial",
"reduction": "potencial de reducción",
"types": {
"cost_optimization": "Optimización de Costos",
"waste_reduction": "Reducción de Desperdicio",
"safety_stock": "Stock de Seguridad",
"demand_forecast": "Pronóstico de Demanda",
"risk_alert": "Alerta de Riesgo"
}
},
"new_dashboard": {
"system_status": {
"title": "Estado del Sistema",
@@ -525,7 +543,49 @@
"ai_reasoning": "IA programó este lote porque:",
"reasoning": {
"forecast_demand": "Demanda prevista de {demand} unidades para {product}",
"forecast_demand_enhanced": "Demanda prevista de {demand} unidades para {product} (+{variance}% vs histórico)",
"customer_order": "Pedido del cliente {customer}"
},
"weather_forecast": "Previsión Meteorológica",
"weather_conditions": {
"sunny": "Soleado, {temp}°C, {humidity}% humedad",
"rainy": "Lluvioso, {temp}°C, {humidity}% humedad",
"cold": "Frío, {temp}°C, {humidity}% humedad",
"hot": "Caluroso, {temp}°C, {humidity}% humedad"
},
"demand_impact": "Impacto en Demanda",
"factors_title": "Factores de Predicción",
"factors": {
"historical_pattern": "Patrón Histórico",
"weather_sunny": "Tiempo Soleado",
"weather_rainy": "Tiempo Lluvioso",
"weather_cold": "Tiempo Frío",
"weather_hot": "Tiempo Caluroso",
"weekend_boost": "Demanda de Fin de Semana",
"inventory_level": "Nivel de Inventario",
"seasonal_trend": "Tendencia Estacional",
"general": "Otro Factor"
},
"confidence": "Confianza: {confidence}%",
"variance": "Variación: +{variance}%",
"historical_avg": "Media hist.: {avg} unidades",
"alerts_section": "Alertas de Producción",
"alerts": {
"equipment_maintenance": "Mantenimiento de Equipo Requerido",
"production_delay": "Retraso en Producción",
"batch_delayed": "Lote con Inicio Retrasado",
"generic": "Alerta de Producción",
"active": "Activo",
"affected_orders": "{count, plural, one {# pedido} other {# pedidos}} afectados",
"delay_hours": "{hours}h de retraso",
"financial_impact": "€{amount} de impacto",
"urgent_in": "Urgente en {hours}h"
},
"priority": {
"critical": "Crítico",
"important": "Importante",
"standard": "Estándar",
"info": "Info"
}
}
}

21
frontend/src/locales/es/reasoning.json
View File

@@ -14,6 +14,7 @@
},
"productionBatch": {
"forecast_demand": "Programado según pronóstico: {predicted_demand} {product_name} necesarios (stock actual: {current_stock}). Confianza: {confidence_score}%.",
"forecast_demand_enhanced": "Programado según pronóstico mejorado: {predicted_demand} {product_name} necesarios ({variance}% variación del promedio histórico). Confianza: {confidence_score}%.",
"customer_order": "Pedido de cliente para {customer_name}: {order_quantity} {product_name} (Pedido #{order_number}) - entrega {delivery_date}.",
"stock_replenishment": "Reposición de stock para {product_name} - nivel actual por debajo del mínimo.",
"seasonal_preparation": "Lote de preparación estacional para {product_name}.",
@@ -177,5 +178,25 @@
"inventory_replenishment": "Reposición regular de inventario",
"production_schedule": "Lote de producción programado",
"other": "Reposición estándar"
},
"factors": {
"historical_pattern": "Patrón Histórico",
"weather_sunny": "Tiempo Soleado",
"weather_rainy": "Tiempo Lluvioso",
"weather_cold": "Tiempo Frío",
"weather_hot": "Tiempo Caluroso",
"weekend_boost": "Demanda de Fin de Semana",
"inventory_level": "Nivel de Inventario",
"seasonal_trend": "Tendencia Estacional",
"general": "Otro Factor",
"weather_impact_sunny": "Impacto del Tiempo Soleado",
"seasonal_trend_adjustment": "Ajuste de Tendencia Estacional",
"historical_sales_pattern": "Patrón de Ventas Histórico",
"current_inventory_trigger": "Activador de Inventario Actual"
},
"dashboard": {
"factors_title": "Factores Clave que Influencian esta Decisión",
"confidence": "Confianza: {confidence}%",
"variance": "Variación: {variance}% del promedio histórico"
}
}

6
frontend/src/locales/eu/common.json
View File

@@ -117,7 +117,11 @@
"now": "Orain",
"recently": "Duela gutxi",
"soon": "Laster",
"later": "Geroago"
"later": "Geroago",
"just_now": "Orain bertan",
"minutes_ago": "{count, plural, one {duela # minutu} other {duela # minutu}}",
"hours_ago": "{count, plural, one {duela # ordu} other {duela # ordu}}",
"days_ago": "{count, plural, one {duela # egun} other {duela # egun}}"
},
"units": {
"kg": "kg",

46
frontend/src/locales/eu/dashboard.json
View File

@@ -122,10 +122,6 @@
"acknowledged": "Onartu",
"resolved": "Ebatzi"
},
"types": {
"alert": "Alerta",
"recommendation": "Gomendioa"
},
"recommended_actions": "Gomendatutako Ekintzak",
"additional_details": "Xehetasun Gehigarriak",
"mark_as_read": "Irakurritako gisa markatu",
@@ -463,7 +459,49 @@
"ai_reasoning": "IAk lote hau programatu zuen zeren:",
"reasoning": {
"forecast_demand": "{product}-rentzat {demand} unitateko eskaria aurreikusita",
"forecast_demand_enhanced": "{product}-rentzat {demand} unitateko eskaria aurreikusita (+{variance}% historikoarekin alderatuta)",
"customer_order": "{customer} bezeroaren eskaera"
},
"weather_forecast": "Eguraldi Iragarpena",
"weather_conditions": {
"sunny": "Eguzkitsua, {temp}°C, %{humidity} hezetasuna",
"rainy": "Euritsua, {temp}°C, %{humidity} hezetasuna",
"cold": "Hotza, {temp}°C, %{humidity} hezetasuna",
"hot": "Beroa, {temp}°C, %{humidity} hezetasuna"
},
"demand_impact": "Eskarian Eragina",
"factors_title": "Aurreikuspen Faktoreak",
"factors": {
"historical_pattern": "Eredu Historikoa",
"weather_sunny": "Eguraldi Eguzkitsua",
"weather_rainy": "Eguraldi Euritsua",
"weather_cold": "Eguraldi Hotza",
"weather_hot": "Eguraldi Beroa",
"weekend_boost": "Asteburuaren Eskaria",
"inventory_level": "Inbentario Maila",
"seasonal_trend": "Sasoi Joera",
"general": "Beste Faktore bat"
},
"confidence": "Konfiantza: %{confidence}",
"variance": "Aldakuntza: +%{variance}",
"historical_avg": "Batez bestekoa: {avg} unitate",
"alerts_section": "Ekoizpen Alertak",
"alerts": {
"equipment_maintenance": "Ekipoen Mantentze-Lanak Behar",
"production_delay": "Ekoizpenaren Atzerapena",
"batch_delayed": "Lotearen Hasiera Atzeratuta",
"generic": "Ekoizpen Alerta",
"active": "Aktiboa",
"affected_orders": "{count, plural, one {# eskaera} other {# eskaera}} kaltetuak",
"delay_hours": "{hours}h atzerapena",
"financial_impact": "€{amount} eragina",
"urgent_in": "Presazkoa {hours}h-tan"
},
"priority": {
"critical": "Kritikoa",
"important": "Garrantzitsua",
"standard": "Estandarra",
"info": "Informazioa"
}
}
}

24
frontend/src/locales/eu/reasoning.json
View File

@@ -1,4 +1,7 @@
{
"orchestration": {
"daily_summary": "{purchase_orders_count, plural, =0 {} =1 {1 erosketa agindu sortu} other {{purchase_orders_count} erosketa agindu sortu}}{purchase_orders_count, plural, =0 {} other { eta }}{production_batches_count, plural, =0 {ekoizpen loterik ez} =1 {1 ekoizpen lote programatu} other {{production_batches_count} ekoizpen lote programatu}}. {critical_items_count, plural, =0 {Guztia stockean.} =1 {Artikulu kritiko 1 arreta behar du} other {{critical_items_count} artikulu kritiko arreta behar dute}}{total_financial_impact_eur, select, 0 {} other { (€{total_financial_impact_eur} arriskuan)}}{min_depletion_hours, select, 0 {} other { - {min_depletion_hours}h stock amaitu arte}}."
},
"purchaseOrder": {
"low_stock_detection": "{supplier_name}-rentzat stock baxua. {product_names_joined}-ren egungo stocka {days_until_stockout} egunetan amaituko da.",
"low_stock_detection_detailed": "{critical_product_count, plural, =1 {{critical_products_0} {min_depletion_hours} ordutan amaituko da} other {{critical_product_count} produktu kritiko urri}}. {supplier_name}-ren {supplier_lead_time_days} eguneko entregarekin, {order_urgency, select, critical {BEREHALA} urgent {GAUR} important {laster} other {orain}} eskatu behar dugu {affected_batches_count, plural, =0 {ekoizpen atzerapenak} =1 {{affected_batches_0} lotearen etetea} other {{affected_batches_count} loteen etetea}} saihesteko{potential_loss_eur, select, 0 {} other { (€{potential_loss_eur} arriskuan)}}.",
@@ -11,6 +14,7 @@
},
"productionBatch": {
"forecast_demand": "Aurreikuspenen arabera programatua: {predicted_demand} {product_name} behar dira (egungo stocka: {current_stock}). Konfiantza: {confidence_score}%.",
"forecast_demand_enhanced": "Aurreikuspen hobetuaren arabera programatua: {predicted_demand} {product_name} behar dira ({variance}% aldaketa batez besteko historikoarekiko). Konfiantza: {confidence_score}%.",
"customer_order": "{customer_name}-rentzat bezeroaren eskaera: {order_quantity} {product_name} (Eskaera #{order_number}) - entrega {delivery_date}.",
"stock_replenishment": "{product_name}-rentzat stockaren birjartzea - egungo maila minimoa baino txikiagoa.",
"seasonal_preparation": "{product_name}-rentzat denboraldiko prestaketa lotea.",
@@ -174,5 +178,25 @@
"inventory_replenishment": "Inbentario berritze erregularra",
"production_schedule": "Ekoizpen sorta programatua",
"other": "Berritze estandarra"
},
"factors": {
"historical_pattern": "Eredu Historikoa",
"weather_sunny": "Eguraldi Eguzkitsua",
"weather_rainy": "Eguraldi Euritsua",
"weather_cold": "Eguraldi Hotza",
"weather_hot": "Eguraldi Beroa",
"weekend_boost": "Asteburuaren Eskaria",
"inventory_level": "Inbentario Maila",
"seasonal_trend": "Sasoi Joera",
"general": "Beste Faktore bat",
"weather_impact_sunny": "Eguraldi Eguzkitsuaren Eragina",
"seasonal_trend_adjustment": "Sasoi Joeraren Doikuntza",
"historical_sales_pattern": "Salmenta Eredu Historikoa",
"current_inventory_trigger": "Egungo Inbentario Aktibatzailea"
},
"dashboard": {
"factors_title": "Erabaki hau eragiten duten faktore gakoak",
"confidence": "Konfiantza: {confidence}%",
"variance": "Aldaketa: % {variance} batez besteko historikoarekiko"
}
}

20
frontend/src/pages/app/DashboardPage.tsx
View File

@@ -36,6 +36,7 @@ import {
PendingPurchasesBlock,
PendingDeliveriesBlock,
ProductionStatusBlock,
AIInsightsBlock,
} from '../../components/dashboard/blocks';
import { UnifiedPurchaseOrderModal } from '../../components/domain/procurement/UnifiedPurchaseOrderModal';
import { UnifiedAddWizard } from '../../components/domain/unified-wizard';
@@ -50,7 +51,7 @@ import { useSubscription } from '../../api/hooks/subscription';
import { SUBSCRIPTION_TIERS } from '../../api/types/subscription';
// Rename the existing component to BakeryDashboard
export function BakeryDashboard() {
export function BakeryDashboard({ plan }: { plan?: string }) {
const { t } = useTranslation(['dashboard', 'common', 'alerts']);
const { currentTenant } = useTenant();
const tenantId = currentTenant?.id || '';
@@ -415,10 +416,25 @@ export function BakeryDashboard() {
lateToStartBatches={dashboardData?.lateToStartBatches || []}
runningBatches={dashboardData?.runningBatches || []}
pendingBatches={dashboardData?.pendingBatches || []}
alerts={dashboardData?.alerts || []}
loading={dashboardLoading}
onStartBatch={handleStartBatch}
/>
</div>
{/* BLOCK 5: AI Insights (Professional/Enterprise only) */}
{(plan === SUBSCRIPTION_TIERS.PROFESSIONAL || plan === SUBSCRIPTION_TIERS.ENTERPRISE) && (
<div data-tour="ai-insights">
<AIInsightsBlock
insights={dashboardData?.aiInsights || []}
loading={dashboardLoading}
onViewAll={() => {
// Navigate to AI Insights page
window.location.href = '/app/analytics/ai-insights';
}}
/>
</div>
)}
</div>
</>
)}
@@ -480,7 +496,7 @@ export function DashboardPage() {
return <EnterpriseDashboardPage tenantId={tenantId} />;
}
return <BakeryDashboard />;
return <BakeryDashboard plan={plan} />;
}
export default DashboardPage;

2
frontend/src/pages/app/operations/maquinaria/MaquinariaPage.tsx
View File

@@ -193,7 +193,7 @@ const MaquinariaPage: React.FC = () => {
maintenance: { color: getStatusColor('info'), text: t('equipment_status.maintenance'), icon: Wrench },
down: { color: getStatusColor('error'), text: t('equipment_status.down'), icon: AlertTriangle }
};
return configs[status];
return configs[status] || { color: getStatusColor('other'), text: status, icon: Settings };
};
const getTypeIcon = (type: Equipment['type']) => {

79
frontend/src/pages/app/operations/production/ProductionPage.tsx
View File

@@ -1,5 +1,5 @@
import React, { useState, useMemo } from 'react';
import { Plus, Clock, AlertCircle, CheckCircle, Timer, ChefHat, Eye, Edit, Package, PlusCircle, Play } from 'lucide-react';
import { Plus, Clock, AlertCircle, CheckCircle, Timer, ChefHat, Eye, Edit, Package, PlusCircle, Play, Info } from 'lucide-react';
import { Button, StatsGrid, EditViewModal, Toggle, SearchAndFilter, type FilterConfig, EmptyState } from '../../../../components/ui';
import { statusColors } from '../../../../styles/colors';
import { formatters } from '../../../../components/ui/Stats/StatsPresets';
@@ -666,6 +666,58 @@ const ProductionPage: React.FC = () => {
}
]
},
{
title: 'Detalles del Razonamiento',
icon: Info,
fields: [
{
label: 'Causa Principal',
value: selectedBatch.reasoning_data?.trigger_type
? t(`reasoning:triggers.${selectedBatch.reasoning_data.trigger_type.toLowerCase()}`)
: 'No especificado',
span: 2
},
{
label: 'Descripción del Razonamiento',
value: selectedBatch.reasoning_data?.trigger_description || 'No especificado',
type: 'textarea',
span: 2
},
{
label: 'Factores Clave',
value: selectedBatch.reasoning_data?.factors && Array.isArray(selectedBatch.reasoning_data.factors)
? selectedBatch.reasoning_data.factors.map(factor =>
t(`reasoning:factors.${factor.toLowerCase()}`) || factor
).join(', ')
: 'No especificados',
span: 2
},
{
label: 'Consecuencias Potenciales',
value: selectedBatch.reasoning_data?.consequence || 'No especificado',
type: 'textarea',
span: 2
},
{
label: 'Nivel de Confianza',
value: selectedBatch.reasoning_data?.confidence_score
? `${selectedBatch.reasoning_data.confidence_score}%`
: 'No especificado'
},
{
label: 'Variación Histórica',
value: selectedBatch.reasoning_data?.variance
? `${selectedBatch.reasoning_data.variance}%`
: 'No especificado'
},
{
label: 'Detalles de la Predicción',
value: selectedBatch.reasoning_data?.prediction_details || 'No especificado',
type: 'textarea',
span: 2
}
]
},
{
title: 'Calidad y Costos',
icon: CheckCircle,
@@ -733,6 +785,10 @@ const ProductionPage: React.FC = () => {
'Estado': 'status',
'Prioridad': 'priority',
'Personal Asignado': 'staff_assigned',
// Reasoning section editable fields
'Descripción del Razonamiento': 'reasoning_data.trigger_description',
'Consecuencias Potenciales': 'reasoning_data.consequence',
'Detalles de la Predicción': 'reasoning_data.prediction_details',
// Schedule - most fields are read-only datetime
// Quality and Costs
'Notas de Producción': 'production_notes',
@@ -744,6 +800,7 @@ const ProductionPage: React.FC = () => {
['Producto', 'Número de Lote', 'Cantidad Planificada', 'Cantidad Producida', 'Estado', 'Prioridad', 'Personal Asignado', 'Equipos Utilizados'],
['Inicio Planificado', 'Fin Planificado', 'Duración Planificada', 'Inicio Real', 'Fin Real', 'Duración Real'],
[], // Process Stage Tracker section - no editable fields
['Causa Principal', 'Descripción del Razonamiento', 'Factores Clave', 'Consecuencias Potenciales', 'Nivel de Confianza', 'Variación Histórica', 'Detalles de la Predicción'], // Reasoning section
['Puntuación de Calidad', 'Rendimiento', 'Costo Estimado', 'Costo Real', 'Notas de Producción', 'Notas de Calidad']
];
@@ -760,10 +817,22 @@ const ProductionPage: React.FC = () => {
processedValue = parseFloat(value as string) || 0;
}
setSelectedBatch({
...selectedBatch,
[propertyName]: processedValue
});
// Handle nested reasoning_data fields
if (propertyName.startsWith('reasoning_data.')) {
const nestedProperty = propertyName.split('.')[1];
setSelectedBatch({
...selectedBatch,
reasoning_data: {
...(selectedBatch.reasoning_data || {}),
[nestedProperty]: processedValue
}
});
} else {
setSelectedBatch({
...selectedBatch,
[propertyName]: processedValue
});
}
}
}}
/>

25
frontend/src/utils/toast.ts
View File

@@ -37,6 +37,11 @@ const success = (message: string, options?: ToastOptions): string => {
return toast.success(fullMessage, {
duration,
id: options?.id,
style: {
display: 'flex',
flexDirection: 'column',
alignItems: 'flex-start'
}
});
};
@@ -55,6 +60,11 @@ const error = (message: string, options?: ToastOptions): string => {
return toast.error(fullMessage, {
duration,
id: options?.id,
style: {
display: 'flex',
flexDirection: 'column',
alignItems: 'flex-start'
}
});
};
@@ -74,6 +84,11 @@ const warning = (message: string, options?: ToastOptions): string => {
duration,
id: options?.id,
icon: '⚠️',
style: {
display: 'flex',
flexDirection: 'column',
alignItems: 'flex-start'
}
});
};
@@ -93,6 +108,11 @@ const info = (message: string, options?: ToastOptions): string => {
duration,
id: options?.id,
icon: 'ℹ️',
style: {
display: 'flex',
flexDirection: 'column',
alignItems: 'flex-start'
}
});
};
@@ -111,6 +131,11 @@ const loading = (message: string, options?: ToastOptions): string => {
return toast.loading(fullMessage, {
duration,
id: options?.id,
style: {
display: 'flex',
flexDirection: 'column',
alignItems: 'flex-start'
}
});
};

4
infrastructure/kubernetes/base/deployments/demo-cleanup-worker.yaml
View File

@@ -21,8 +21,8 @@ spec:
spec:
containers:
- name: worker
image: bakery/demo-session-service:latest
imagePullPolicy: IfNotPresent
image: demo-session-service:latest
imagePullPolicy: Never
command:
- python
- -m

72
infrastructure/kubernetes/base/jobs/demo-seed-ai-models-job.yaml
View File

@@ -1,72 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-ai-models
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "25"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-ai-models
spec:
initContainers:
- name: wait-for-training-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for training-migration to complete..."
sleep 30
- name: wait-for-training-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for training-service to be ready..."
until curl -f http://training-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "training-service not ready yet, waiting..."
sleep 5
done
echo "training-service is ready!"
containers:
- name: seed-ai-models
image: bakery/training-service:latest
command: ["python", "/app/scripts/demo/seed_demo_ai_models.py"]
env:
- name: TRAINING_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: TRAINING_DATABASE_URL
- name: TENANT_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: TENANT_DATABASE_URL
- name: INVENTORY_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: INVENTORY_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

67
infrastructure/kubernetes/base/jobs/demo-seed-alerts-job.yaml
View File

@@ -1,67 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-alerts
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "28" # After orchestration runs (27), as alerts reference recent data
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-alerts
spec:
initContainers:
- name: wait-for-alert-processor-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for alert-processor-migration to complete..."
sleep 30
- name: wait-for-alert-processor
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for alert-processor to be ready..."
until curl -f http://alert-processor.bakery-ia.svc.cluster.local:8000/health > /dev/null 2>&1; do
echo "alert-processor not ready yet, waiting..."
sleep 5
done
echo "alert-processor is ready!"
containers:
- name: seed-alerts
image: bakery/alert-processor:latest
command: ["python", "/app/scripts/demo/seed_demo_alerts.py"]
env:
- name: ALERT_PROCESSOR_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ALERT_PROCESSOR_DATABASE_URL
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ALERT_PROCESSOR_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

55
infrastructure/kubernetes/base/jobs/demo-seed-alerts-retail-job.yaml
View File

@@ -1,55 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-alerts-retail
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
tier: retail
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "56" # After retail forecasts (55)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-alerts-retail
spec:
initContainers:
- name: wait-for-alert-processor
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for alert-processor to be ready..."
until curl -f http://alert-processor.bakery-ia.svc.cluster.local:8000/health > /dev/null 2>&1; do
echo "alert-processor not ready yet, waiting..."
sleep 5
done
echo "alert-processor is ready!"
containers:
- name: seed-alerts-retail
image: bakery/alert-processor:latest
command: ["python", "/app/scripts/demo/seed_demo_alerts_retail.py"]
env:
- name: ALERT_PROCESSOR_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ALERT_PROCESSOR_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-customers-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-customers
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "25" # After orders migration (20)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-customers
spec:
initContainers:
- name: wait-for-orders-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for orders-migration to complete..."
sleep 30
- name: wait-for-orders-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for orders-service to be ready..."
until curl -f http://orders-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "orders-service not ready yet, waiting..."
sleep 5
done
echo "orders-service is ready!"
containers:
- name: seed-customers
image: bakery/orders-service:latest
command: ["python", "/app/scripts/demo/seed_demo_customers.py"]
env:
- name: ORDERS_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ORDERS_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

55
infrastructure/kubernetes/base/jobs/demo-seed-customers-retail-job.yaml
View File

@@ -1,55 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-customers-retail
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
tier: retail
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "53" # After retail sales (52)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-customers-retail
spec:
initContainers:
- name: wait-for-orders-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for orders-service to be ready..."
until curl -f http://orders-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "orders-service not ready yet, waiting..."
sleep 5
done
echo "orders-service is ready!"
containers:
- name: seed-customers-retail
image: bakery/orders-service:latest
command: ["python", "/app/scripts/demo/seed_demo_customers_retail.py"]
env:
- name: ORDERS_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ORDERS_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

64
infrastructure/kubernetes/base/jobs/demo-seed-distribution-history-job.yaml
View File

@@ -1,64 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-distribution-history
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
tier: enterprise
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "57" # After all retail seeds (56) - CRITICAL for enterprise demo
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-distribution-history
spec:
initContainers:
- name: wait-for-distribution-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for distribution-service to be ready..."
until curl -f http://distribution-service.bakery-ia.svc.cluster.local:8000/health > /dev/null 2>&1; do
echo "distribution-service not ready yet, waiting..."
sleep 5
done
echo "distribution-service is ready!"
- name: wait-for-all-retail-seeds
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 60 seconds for all retail seeds to complete..."
echo "This ensures distribution history has all child data in place"
sleep 60
containers:
- name: seed-distribution-history
image: bakery/distribution-service:latest
command: ["python", "/app/scripts/demo/seed_demo_distribution_history.py"]
env:
- name: DISTRIBUTION_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: DISTRIBUTION_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-equipment-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-equipment
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "25" # After production migration (20)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-equipment
spec:
initContainers:
- name: wait-for-production-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for production-migration to complete..."
sleep 30
- name: wait-for-production-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for production-service to be ready..."
until curl -f http://production-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "production-service not ready yet, waiting..."
sleep 5
done
echo "production-service is ready!"
containers:
- name: seed-equipment
image: bakery/production-service:latest
command: ["python", "/app/scripts/demo/seed_demo_equipment.py"]
env:
- name: PRODUCTION_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: PRODUCTION_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-forecasts-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-forecasts
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "40" # Last seed job
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-forecasts
spec:
initContainers:
- name: wait-for-forecasting-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for forecasting-migration to complete..."
sleep 30
- name: wait-for-forecasting-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for forecasting-service to be ready..."
until curl -f http://forecasting-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "forecasting-service not ready yet, waiting..."
sleep 5
done
echo "forecasting-service is ready!"
containers:
- name: seed-forecasts
image: bakery/forecasting-service:latest
command: ["python", "/app/scripts/demo/seed_demo_forecasts.py"]
env:
- name: FORECASTING_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: FORECASTING_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "512Mi"
cpu: "200m"
limits:
memory: "1Gi"
cpu: "1000m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

55
infrastructure/kubernetes/base/jobs/demo-seed-forecasts-retail-job.yaml
View File

@@ -1,55 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-forecasts-retail
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
tier: retail
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "55" # After retail POS (54)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-forecasts-retail
spec:
initContainers:
- name: wait-for-forecasting-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for forecasting-service to be ready..."
until curl -f http://forecasting-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "forecasting-service not ready yet, waiting..."
sleep 5
done
echo "forecasting-service is ready!"
containers:
- name: seed-forecasts-retail
image: bakery/forecasting-service:latest
command: ["python", "/app/scripts/demo/seed_demo_forecasts_retail.py"]
env:
- name: FORECASTING_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: FORECASTING_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-inventory-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-inventory
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "15"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-inventory
spec:
initContainers:
- name: wait-for-inventory-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for inventory-migration to complete..."
sleep 30
- name: wait-for-inventory-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for inventory-service to be ready..."
until curl -f http://inventory-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "inventory-service not ready yet, waiting..."
sleep 5
done
echo "inventory-service is ready!"
containers:
- name: seed-inventory
image: bakery/inventory-service:latest
command: ["python", "/app/scripts/demo/seed_demo_inventory.py"]
env:
- name: INVENTORY_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: INVENTORY_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

63
infrastructure/kubernetes/base/jobs/demo-seed-inventory-retail-job.yaml
View File

@@ -1,63 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-inventory-retail
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
tier: retail
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "50" # After parent inventory (15)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-inventory-retail
spec:
initContainers:
- name: wait-for-parent-inventory
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 45 seconds for parent inventory seed to complete..."
sleep 45
- name: wait-for-inventory-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for inventory-service to be ready..."
until curl -f http://inventory-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "inventory-service not ready yet, waiting..."
sleep 5
done
echo "inventory-service is ready!"
containers:
- name: seed-inventory-retail
image: bakery/inventory-service:latest
command: ["python", "/app/scripts/demo/seed_demo_inventory_retail.py"]
env:
- name: INVENTORY_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: INVENTORY_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

67
infrastructure/kubernetes/base/jobs/demo-seed-orchestration-runs-job.yaml
View File

@@ -1,67 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-orchestration-runs
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "45" # After procurement plans (35)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-orchestration-runs
spec:
initContainers:
- name: wait-for-orchestrator-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "⏳ Waiting 30 seconds for orchestrator-migration to complete..."
sleep 30
- name: wait-for-orchestrator-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for orchestrator-service to be ready..."
until curl -f http://orchestrator-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "orchestrator-service not ready yet, waiting..."
sleep 5
done
echo "orchestrator-service is ready!"
containers:
- name: seed-orchestration-runs
image: bakery/orchestrator-service:latest
command: ["python", "/app/scripts/demo/seed_demo_orchestration_runs.py"]
env:
- name: ORCHESTRATOR_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ORCHESTRATOR_DATABASE_URL
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ORCHESTRATOR_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "512Mi"
cpu: "200m"
limits:
memory: "1Gi"
cpu: "1000m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

59
infrastructure/kubernetes/base/jobs/demo-seed-orchestrator-job.yaml
View File

@@ -1,59 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-orchestrator
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "25" # After procurement plans (24)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-orchestrator
spec:
initContainers:
- name: wait-for-orchestrator-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for orchestrator-service to be ready..."
until curl -f http://orchestrator-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "orchestrator-service not ready yet, waiting..."
sleep 5
done
echo "orchestrator-service is ready!"
containers:
- name: seed-orchestrator
image: bakery/orchestrator-service:latest
command: ["python", "/app/scripts/demo/seed_demo_orchestration_runs.py"]
env:
- name: ORCHESTRATOR_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ORCHESTRATOR_DATABASE_URL
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ORCHESTRATOR_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "512Mi"
cpu: "200m"
limits:
memory: "1Gi"
cpu: "1000m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-orders-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-orders
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "30" # After customers (25)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-orders
spec:
initContainers:
- name: wait-for-orders-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for orders-migration to complete..."
sleep 30
- name: wait-for-orders-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for orders-service to be ready..."
until curl -f http://orders-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "orders-service not ready yet, waiting..."
sleep 5
done
echo "orders-service is ready!"
containers:
- name: seed-orders
image: bakery/orders-service:latest
command: ["python", "/app/scripts/demo/seed_demo_orders.py"]
env:
- name: ORDERS_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: ORDERS_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "512Mi"
cpu: "200m"
limits:
memory: "1Gi"
cpu: "1000m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-pos-configs-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-pos-configs
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "35" # After orders (30)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-pos-configs
spec:
initContainers:
- name: wait-for-pos-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for pos-migration to complete..."
sleep 30
- name: wait-for-pos-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for pos-service to be ready..."
until curl -f http://pos-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "pos-service not ready yet, waiting..."
sleep 5
done
echo "pos-service is ready!"
containers:
- name: seed-pos-configs
image: bakery/pos-service:latest
command: ["python", "/app/scripts/demo/seed_demo_pos_configs.py"]
env:
- name: POS_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: POS_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

55
infrastructure/kubernetes/base/jobs/demo-seed-pos-retail-job.yaml
View File

@@ -1,55 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-pos-retail
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
tier: retail
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "54" # After retail customers (53)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-pos-retail
spec:
initContainers:
- name: wait-for-pos-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for pos-service to be ready..."
until curl -f http://pos-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "pos-service not ready yet, waiting..."
sleep 5
done
echo "pos-service is ready!"
containers:
- name: seed-pos-retail
image: bakery/pos-service:latest
command: ["python", "/app/scripts/demo/seed_demo_pos_retail.py"]
env:
- name: POS_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: POS_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

67
infrastructure/kubernetes/base/jobs/demo-seed-procurement-job.yaml
View File

@@ -1,67 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-procurement-plans
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "21" # After suppliers (20)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-procurement-plans
spec:
initContainers:
- name: wait-for-procurement-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for procurement-migration to complete..."
sleep 30
- name: wait-for-procurement-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for procurement-service to be ready..."
until curl -f http://procurement-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "procurement-service not ready yet, waiting..."
sleep 5
done
echo "procurement-service is ready!"
containers:
- name: seed-procurement-plans
image: bakery/procurement-service:latest
command: ["python", "/app/scripts/demo/seed_demo_procurement_plans.py"]
env:
- name: PROCUREMENT_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: PROCUREMENT_DATABASE_URL
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: PROCUREMENT_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "512Mi"
cpu: "200m"
limits:
memory: "1Gi"
cpu: "1000m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-production-batches-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-production-batches
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "30" # After equipment (25) and other dependencies
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-production-batches
spec:
initContainers:
- name: wait-for-production-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for production-migration to complete..."
sleep 30
- name: wait-for-production-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for production-service to be ready..."
until curl -f http://production-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "production-service not ready yet, waiting..."
sleep 5
done
echo "production-service is ready!"
containers:
- name: seed-production-batches
image: bakery/production-service:latest
command: ["python", "/app/scripts/demo/seed_demo_batches.py"]
env:
- name: PRODUCTION_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: PRODUCTION_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

59
infrastructure/kubernetes/base/jobs/demo-seed-purchase-orders-job.yaml
View File

@@ -1,59 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-purchase-orders
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "22" # After procurement plans (21)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-purchase-orders
spec:
initContainers:
- name: wait-for-procurement-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for procurement-service to be ready..."
until curl -f http://procurement-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "procurement-service not ready yet, waiting..."
sleep 5
done
echo "procurement-service is ready!"
containers:
- name: seed-purchase-orders
image: bakery/procurement-service:latest
command: ["python", "/app/scripts/demo/seed_demo_purchase_orders.py"]
env:
- name: PROCUREMENT_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: PROCUREMENT_DATABASE_URL
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: PROCUREMENT_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "512Mi"
cpu: "200m"
limits:
memory: "1Gi"
cpu: "1000m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-quality-templates-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-quality-templates
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "22" # After production migration (20), before equipment (25)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-quality-templates
spec:
initContainers:
- name: wait-for-production-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for production-migration to complete..."
sleep 30
- name: wait-for-production-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for production-service to be ready..."
until curl -f http://production-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "production-service not ready yet, waiting..."
sleep 5
done
echo "production-service is ready!"
containers:
- name: seed-quality-templates
image: bakery/production-service:latest
command: ["python", "/app/scripts/demo/seed_demo_quality_templates.py"]
env:
- name: PRODUCTION_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: PRODUCTION_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

29
infrastructure/kubernetes/base/jobs/demo-seed-rbac.yaml
View File

@@ -1,29 +0,0 @@
apiVersion: v1
kind: ServiceAccount
metadata:
name: demo-seed-sa
namespace: bakery-ia
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: demo-seed-role
namespace: bakery-ia
rules:
- apiGroups: ["batch"]
resources: ["jobs"]
verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: demo-seed-rolebinding
namespace: bakery-ia
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: demo-seed-role
subjects:
- kind: ServiceAccount
name: demo-seed-sa
namespace: bakery-ia

67
infrastructure/kubernetes/base/jobs/demo-seed-recipes-job.yaml
View File

@@ -1,67 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-recipes
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "20"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-recipes
spec:
initContainers:
- name: wait-for-recipes-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for recipes-migration to complete..."
sleep 30
- name: wait-for-recipes-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for recipes-service to be ready..."
until curl -f http://recipes-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "recipes-service not ready yet, waiting..."
sleep 5
done
echo "recipes-service is ready!"
containers:
- name: seed-recipes
image: bakery/recipes-service:latest
command: ["python", "/app/scripts/demo/seed_demo_recipes.py"]
env:
- name: RECIPES_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: RECIPES_DATABASE_URL
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: RECIPES_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

67
infrastructure/kubernetes/base/jobs/demo-seed-sales-job.yaml
View File

@@ -1,67 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-sales
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "25"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-sales
spec:
initContainers:
- name: wait-for-sales-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for sales-migration to complete..."
sleep 30
- name: wait-for-sales-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for sales-service to be ready..."
until curl -f http://sales-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "sales-service not ready yet, waiting..."
sleep 5
done
echo "sales-service is ready!"
containers:
- name: seed-sales
image: bakery/sales-service:latest
command: ["python", "/app/scripts/demo/seed_demo_sales.py"]
env:
- name: SALES_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: SALES_DATABASE_URL
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: SALES_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

63
infrastructure/kubernetes/base/jobs/demo-seed-sales-retail-job.yaml
View File

@@ -1,63 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-sales-retail
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
tier: retail
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "52" # After retail stock (51)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-sales-retail
spec:
initContainers:
- name: wait-for-retail-stock
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for retail stock seed to complete..."
sleep 30
- name: wait-for-sales-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for sales-service to be ready..."
until curl -f http://sales-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "sales-service not ready yet, waiting..."
sleep 5
done
echo "sales-service is ready!"
containers:
- name: seed-sales-retail
image: bakery/sales-service:latest
command: ["python", "/app/scripts/demo/seed_demo_sales_retail.py"]
env:
- name: SALES_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: SALES_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-stock-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-stock
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "20"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-stock
spec:
initContainers:
- name: wait-for-inventory-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for inventory-migration to complete..."
sleep 30
- name: wait-for-inventory-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for inventory-service to be ready..."
until curl -f http://inventory-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "inventory-service not ready yet, waiting..."
sleep 5
done
echo "inventory-service is ready!"
containers:
- name: seed-stock
image: bakery/inventory-service:latest
command: ["python", "/app/scripts/demo/seed_demo_stock.py"]
env:
- name: INVENTORY_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: INVENTORY_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

51
infrastructure/kubernetes/base/jobs/demo-seed-stock-retail-job.yaml
View File

@@ -1,51 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-stock-retail
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
tier: retail
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "51" # After retail inventory (50)
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-stock-retail
spec:
initContainers:
- name: wait-for-retail-inventory
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for retail inventory seed to complete..."
sleep 30
containers:
- name: seed-stock-retail
image: bakery/inventory-service:latest
command: ["python", "/app/scripts/demo/seed_demo_stock_retail.py"]
env:
- name: INVENTORY_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: INVENTORY_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

56
infrastructure/kubernetes/base/jobs/demo-seed-subscriptions-job.yaml
View File

@@ -1,56 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-subscriptions
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "15"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-subscriptions
spec:
initContainers:
- name: wait-for-tenant-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for tenant-migration to complete..."
sleep 30
- name: wait-for-tenant-seed
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 15 seconds for demo-seed-tenants to complete..."
sleep 15
containers:
- name: seed-subscriptions
image: bakery/tenant-service:latest
command: ["python", "/app/scripts/demo/seed_demo_subscriptions.py"]
env:
- name: TENANT_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: TENANT_DATABASE_URL
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

67
infrastructure/kubernetes/base/jobs/demo-seed-suppliers-job.yaml
View File

@@ -1,67 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-suppliers
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "20"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-suppliers
spec:
initContainers:
- name: wait-for-suppliers-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for suppliers-migration to complete..."
sleep 30
- name: wait-for-suppliers-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for suppliers-service to be ready..."
until curl -f http://suppliers-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "suppliers-service not ready yet, waiting..."
sleep 5
done
echo "suppliers-service is ready!"
containers:
- name: seed-suppliers
image: bakery/suppliers-service:latest
command: ["python", "/app/scripts/demo/seed_demo_suppliers.py"]
env:
- name: SUPPLIERS_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: SUPPLIERS_DATABASE_URL
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: SUPPLIERS_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

52
infrastructure/kubernetes/base/jobs/demo-seed-tenant-members-job.yaml
View File

@@ -1,52 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-tenant-members
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "15"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-tenant-members
spec:
initContainers:
- name: wait-for-tenant-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for tenant-service to be ready..."
until curl -f http://tenant-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "tenant-service not ready yet, waiting..."
sleep 5
done
echo "tenant-service is ready!"
containers:
- name: seed-tenant-members
image: bakery/tenant-service:latest
command: ["python", "/app/scripts/demo/seed_demo_tenant_members.py"]
env:
- name: TENANT_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: TENANT_DATABASE_URL
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

64
infrastructure/kubernetes/base/jobs/demo-seed-tenants-job.yaml
View File

@@ -1,64 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-tenants
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "10"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-tenants
spec:
initContainers:
- name: wait-for-tenant-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for tenant-migration to complete..."
sleep 30
- name: wait-for-tenant-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for tenant-service to be ready..."
until curl -f http://tenant-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "tenant-service not ready yet, waiting..."
sleep 5
done
echo "tenant-service is ready!"
containers:
- name: seed-tenants
image: bakery/tenant-service:latest
command: ["python", "/app/scripts/demo/seed_demo_tenants.py"]
env:
- name: TENANT_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: TENANT_DATABASE_URL
- name: AUTH_SERVICE_URL
value: "http://auth-service:8000"
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

62
infrastructure/kubernetes/base/jobs/demo-seed-users-job.yaml
View File

@@ -1,62 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: demo-seed-users
namespace: bakery-ia
labels:
app: demo-seed
component: initialization
annotations:
"helm.sh/hook": post-install,post-upgrade
"helm.sh/hook-weight": "5"
spec:
ttlSecondsAfterFinished: 3600
template:
metadata:
labels:
app: demo-seed-users
spec:
initContainers:
- name: wait-for-auth-migration
image: busybox:1.36
command:
- sh
- -c
- |
echo "Waiting 30 seconds for auth-migration to complete..."
sleep 30
- name: wait-for-auth-service
image: curlimages/curl:latest
command:
- sh
- -c
- |
echo "Waiting for auth-service to be ready..."
until curl -f http://auth-service.bakery-ia.svc.cluster.local:8000/health/ready > /dev/null 2>&1; do
echo "auth-service not ready yet, waiting..."
sleep 5
done
echo "auth-service is ready!"
containers:
- name: seed-users
image: bakery/auth-service:latest
command: ["python", "/app/scripts/demo/seed_demo_users.py"]
env:
- name: AUTH_DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: AUTH_DATABASE_URL
- name: DEMO_MODE
value: "production"
- name: LOG_LEVEL
value: "INFO"
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
restartPolicy: OnFailure
serviceAccountName: demo-seed-sa

34
infrastructure/kubernetes/base/kustomization.yaml
View File

@@ -42,40 +42,6 @@ resources:
- migrations/ai-insights-migration-job.yaml
- migrations/distribution-migration-job.yaml
# Demo initialization jobs (in Helm hook weight order)
- jobs/demo-seed-rbac.yaml
- jobs/demo-seed-users-job.yaml
- jobs/demo-seed-tenants-job.yaml
- jobs/demo-seed-tenant-members-job.yaml
- jobs/demo-seed-subscriptions-job.yaml
- jobs/demo-seed-inventory-job.yaml
- jobs/demo-seed-recipes-job.yaml
- jobs/demo-seed-suppliers-job.yaml
- jobs/demo-seed-purchase-orders-job.yaml
- jobs/demo-seed-sales-job.yaml
- jobs/demo-seed-ai-models-job.yaml
- jobs/demo-seed-stock-job.yaml
- jobs/demo-seed-quality-templates-job.yaml
- jobs/demo-seed-customers-job.yaml
- jobs/demo-seed-equipment-job.yaml
- jobs/demo-seed-production-batches-job.yaml
- jobs/demo-seed-orders-job.yaml
- jobs/demo-seed-procurement-job.yaml
- jobs/demo-seed-forecasts-job.yaml
- jobs/demo-seed-pos-configs-job.yaml
- jobs/demo-seed-orchestration-runs-job.yaml
# - jobs/demo-seed-alerts-job.yaml # Commented out: Alert processor v2 uses event-driven architecture; services emit events via RabbitMQ
# Phase 2: Child retail seed jobs (for enterprise demo)
- jobs/demo-seed-inventory-retail-job.yaml
- jobs/demo-seed-stock-retail-job.yaml
- jobs/demo-seed-sales-retail-job.yaml
- jobs/demo-seed-customers-retail-job.yaml
- jobs/demo-seed-pos-retail-job.yaml
- jobs/demo-seed-forecasts-retail-job.yaml
# - jobs/demo-seed-alerts-retail-job.yaml # Commented out: Alert processor v2 uses event-driven architecture; services emit events via RabbitMQ
- jobs/demo-seed-distribution-history-job.yaml
# External data initialization job (v2.0)
- jobs/external-data-init-job.yaml

111
scripts/test/demo_determinism.py Normal file
View File

@@ -0,0 +1,111 @@
#!/usr/bin/env python3
"""
Test deterministic cloning by creating multiple sessions and comparing data hashes.
"""
import asyncio
import hashlib
import json
from typing import List, Dict
import httpx
DEMO_API_URL = "http://localhost:8018"
INTERNAL_API_KEY = "test-internal-key"
async def create_demo_session(tier: str = "professional") -> dict:
"""Create a demo session"""
async with httpx.AsyncClient() as client:
response = await client.post(
f"{DEMO_API_URL}/api/demo/sessions",
json={"demo_account_type": tier}
)
return response.json()
async def get_all_data_from_service(
service_url: str,
tenant_id: str
) -> dict:
"""Fetch all data for a tenant from a service"""
async with httpx.AsyncClient() as client:
response = await client.get(
f"{service_url}/internal/demo/export/{tenant_id}",
headers={"X-Internal-API-Key": INTERNAL_API_KEY}
)
return response.json()
def calculate_data_hash(data: dict) -> str:
"""
Calculate SHA-256 hash of data, excluding audit timestamps.
"""
# Remove non-deterministic fields
clean_data = remove_audit_fields(data)
# Sort keys for consistency
json_str = json.dumps(clean_data, sort_keys=True)
return hashlib.sha256(json_str.encode()).hexdigest()
def remove_audit_fields(data: dict) -> dict:
"""Remove created_at, updated_at fields recursively"""
if isinstance(data, dict):
return {
k: remove_audit_fields(v)
for k, v in data.items()
if k not in ["created_at", "updated_at", "id"] # IDs are UUIDs
}
elif isinstance(data, list):
return [remove_audit_fields(item) for item in data]
else:
return data
async def test_determinism(tier: str = "professional", iterations: int = 10):
"""
Test that cloning is deterministic across multiple sessions.
"""
print(f"Testing determinism for {tier} tier ({iterations} iterations)...")
services = [
("inventory", "http://inventory-service:8002"),
("production", "http://production-service:8003"),
("recipes", "http://recipes-service:8004"),
]
hashes_by_service = {svc[0]: [] for svc in services}
for i in range(iterations):
# Create session
session = await create_demo_session(tier)
tenant_id = session["virtual_tenant_id"]
# Get data from each service
for service_name, service_url in services:
data = await get_all_data_from_service(service_url, tenant_id)
data_hash = calculate_data_hash(data)
hashes_by_service[service_name].append(data_hash)
# Cleanup
async with httpx.AsyncClient() as client:
await client.delete(f"{DEMO_API_URL}/api/demo/sessions/{session['session_id']}")
if (i + 1) % 10 == 0:
print(f" Completed {i + 1}/{iterations} iterations")
# Check consistency
all_consistent = True
for service_name, hashes in hashes_by_service.items():
unique_hashes = set(hashes)
if len(unique_hashes) == 1:
print(f"✅ {service_name}: All {iterations} hashes identical")
else:
print(f"❌ {service_name}: {len(unique_hashes)} different hashes found!")
all_consistent = False
if all_consistent:
print("\n✅ DETERMINISM TEST PASSED")
return 0
else:
print("\n❌ DETERMINISM TEST FAILED")
return 1
if __name__ == "__main__":
exit_code = asyncio.run(test_determinism())
exit(exit_code)

418
scripts/validate_cross_refs.py Normal file
View File

@@ -0,0 +1,418 @@
#!/usr/bin/env python3
"""
Cross-reference validation script for Bakery-IA demo data.
Validates UUID references across different services and fixtures.
"""
import json
import os
import sys
from pathlib import Path
from typing import Dict, List, Any, Optional
from uuid import UUID
# Configuration
BASE_DIR = Path(__file__).parent.parent / "shared" / "demo"
FIXTURES_DIR = BASE_DIR / "fixtures" / "professional"
METADATA_DIR = BASE_DIR / "metadata"
class ValidationError(Exception):
"""Custom exception for validation errors."""
pass
class CrossReferenceValidator:
def __init__(self):
self.fixtures = {}
self.cross_refs_map = {}
self.errors = []
self.warnings = []
def load_fixtures(self):
"""Load all fixture files."""
fixture_files = [
"01-tenant.json", "02-auth.json", "03-inventory.json",
"04-recipes.json", "05-suppliers.json", "06-production.json",
"07-procurement.json", "08-orders.json", "09-sales.json",
"10-forecasting.json"
]
for filename in fixture_files:
filepath = FIXTURES_DIR / filename
if filepath.exists():
try:
with open(filepath, 'r', encoding='utf-8') as f:
self.fixtures[filename] = json.load(f)
except (json.JSONDecodeError, IOError) as e:
self.errors.append(f"Failed to load {filename}: {str(e)}")
else:
self.warnings.append(f"Fixture file {filename} not found")
def load_cross_refs_map(self):
"""Load cross-reference mapping from metadata."""
map_file = METADATA_DIR / "cross_refs_map.json"
if map_file.exists():
try:
with open(map_file, 'r', encoding='utf-8') as f:
data = json.load(f)
self.cross_refs_map = data.get("references", [])
except (json.JSONDecodeError, IOError) as e:
self.errors.append(f"Failed to load cross_refs_map.json: {str(e)}")
else:
self.errors.append("cross_refs_map.json not found")
def is_valid_uuid(self, uuid_str: str) -> bool:
"""Check if a string is a valid UUID."""
try:
UUID(uuid_str)
return True
except ValueError:
return False
def get_entity_by_id(self, service: str, entity_type: str, entity_id: str) -> Optional[Dict]:
"""Find an entity by ID in the loaded fixtures."""
# Map service names to fixture files
service_to_fixture = {
"inventory": "03-inventory.json",
"recipes": "04-recipes.json",
"suppliers": "05-suppliers.json",
"production": "06-production.json",
"procurement": "07-procurement.json",
"orders": "08-orders.json",
"sales": "09-sales.json",
"forecasting": "10-forecasting.json"
}
if service not in service_to_fixture:
return None
fixture_file = service_to_fixture[service]
if fixture_file not in self.fixtures:
return None
fixture_data = self.fixtures[fixture_file]
# Find the entity based on entity_type
if entity_type == "Ingredient":
return self._find_in_ingredients(fixture_data, entity_id)
elif entity_type == "Recipe":
return self._find_in_recipes(fixture_data, entity_id)
elif entity_type == "Supplier":
return self._find_in_suppliers(fixture_data, entity_id)
elif entity_type == "ProductionBatch":
return self._find_in_production_batches(fixture_data, entity_id)
elif entity_type == "PurchaseOrder":
return self._find_in_purchase_orders(fixture_data, entity_id)
elif entity_type == "Customer":
return self._find_in_customers(fixture_data, entity_id)
elif entity_type == "SalesData":
return self._find_in_sales_data(fixture_data, entity_id)
elif entity_type == "Forecast":
return self._find_in_forecasts(fixture_data, entity_id)
return None
def _find_in_ingredients(self, data: Dict, entity_id: str) -> Optional[Dict]:
"""Find ingredient by ID."""
if "ingredients" in data:
for ingredient in data["ingredients"]:
if ingredient.get("id") == entity_id:
return ingredient
return None
def _find_in_recipes(self, data: Dict, entity_id: str) -> Optional[Dict]:
"""Find recipe by ID."""
if "recipes" in data:
for recipe in data["recipes"]:
if recipe.get("id") == entity_id:
return recipe
return None
def _find_in_suppliers(self, data: Dict, entity_id: str) -> Optional[Dict]:
"""Find supplier by ID."""
if "suppliers" in data:
for supplier in data["suppliers"]:
if supplier.get("id") == entity_id:
return supplier
return None
def _find_in_production_batches(self, data: Dict, entity_id: str) -> Optional[Dict]:
"""Find production batch by ID."""
if "production_batches" in data:
for batch in data["production_batches"]:
if batch.get("id") == entity_id:
return batch
return None
def _find_in_purchase_orders(self, data: Dict, entity_id: str) -> Optional[Dict]:
"""Find purchase order by ID."""
if "purchase_orders" in data:
for po in data["purchase_orders"]:
if po.get("id") == entity_id:
return po
return None
def _find_in_customers(self, data: Dict, entity_id: str) -> Optional[Dict]:
"""Find customer by ID."""
if "customers" in data:
for customer in data["customers"]:
if customer.get("id") == entity_id:
return customer
return None
def _find_in_sales_data(self, data: Dict, entity_id: str) -> Optional[Dict]:
"""Find sales data by ID."""
if "sales_data" in data:
for sales in data["sales_data"]:
if sales.get("id") == entity_id:
return sales
return None
def _find_in_forecasts(self, data: Dict, entity_id: str) -> Optional[Dict]:
"""Find forecast by ID."""
if "forecasts" in data:
for forecast in data["forecasts"]:
if forecast.get("id") == entity_id:
return forecast
return None
def validate_cross_references(self):
"""Validate all cross-references defined in the map."""
for ref in self.cross_refs_map:
from_service = ref["from_service"]
from_entity = ref["from_entity"]
from_field = ref["from_field"]
to_service = ref["to_service"]
to_entity = ref["to_entity"]
required = ref.get("required", False)
# Find all entities of the "from" type
entities = self._get_all_entities(from_service, from_entity)
for entity in entities:
ref_id = entity.get(from_field)
if not ref_id:
if required:
self.errors.append(
f"{from_entity} {entity.get('id')} missing required field {from_field}"
)
continue
if not self.is_valid_uuid(ref_id):
self.errors.append(
f"{from_entity} {entity.get('id')} has invalid UUID in {from_field}: {ref_id}"
)
continue
# Check if the referenced entity exists
target_entity = self.get_entity_by_id(to_service, to_entity, ref_id)
if not target_entity:
if required:
self.errors.append(
f"{from_entity} {entity.get('id')} references non-existent {to_entity} {ref_id}"
)
else:
self.warnings.append(
f"{from_entity} {entity.get('id')} references non-existent {to_entity} {ref_id}"
)
continue
# Check filters if specified
to_filter = ref.get("to_filter", {})
if to_filter:
self._validate_filters_case_insensitive(target_entity, to_filter, entity, ref)
def _get_all_entities(self, service: str, entity_type: str) -> List[Dict]:
"""Get all entities of a specific type from a service."""
entities = []
# Map entity types to fixture file and path
entity_mapping = {
"ProductionBatch": ("06-production.json", "production_batches"),
"RecipeIngredient": ("04-recipes.json", "recipe_ingredients"),
"Stock": ("03-inventory.json", "stock"),
"PurchaseOrder": ("07-procurement.json", "purchase_orders"),
"PurchaseOrderItem": ("07-procurement.json", "purchase_order_items"),
"OrderItem": ("08-orders.json", "order_items"),
"SalesData": ("09-sales.json", "sales_data"),
"Forecast": ("10-forecasting.json", "forecasts")
}
if entity_type in entity_mapping:
fixture_file, path = entity_mapping[entity_type]
if fixture_file in self.fixtures:
data = self.fixtures[fixture_file]
if path in data:
return data[path]
return entities
def _validate_filters_case_insensitive(self, target_entity: Dict, filters: Dict, source_entity: Dict, ref: Dict):
"""Validate that target entity matches specified filters (case-insensitive)."""
for filter_key, filter_value in filters.items():
actual_value = target_entity.get(filter_key)
if actual_value is None:
self.errors.append(
f"{source_entity.get('id')} references {target_entity.get('id')} "
f"but {filter_key} is missing (expected {filter_value})"
)
elif str(actual_value).lower() != str(filter_value).lower():
self.errors.append(
f"{source_entity.get('id')} references {target_entity.get('id')} "
f"but {filter_key}={actual_value} != {filter_value}"
)
def validate_required_fields(self):
"""Validate required fields in all fixtures."""
required_fields_map = {
"01-tenant.json": {
"tenant": ["id", "name", "subscription_tier"]
},
"02-auth.json": {
"users": ["id", "name", "email", "role"]
},
"03-inventory.json": {
"ingredients": ["id", "name", "product_type", "ingredient_category"],
"stock": ["id", "ingredient_id", "quantity", "location"]
},
"04-recipes.json": {
"recipes": ["id", "name", "status", "difficulty_level"],
"recipe_ingredients": ["id", "recipe_id", "ingredient_id", "quantity"]
},
"05-suppliers.json": {
"suppliers": ["id", "name", "supplier_code", "status"]
},
"06-production.json": {
"equipment": ["id", "name", "type", "status"],
"production_batches": ["id", "product_id", "status", "start_time"]
},
"07-procurement.json": {
"purchase_orders": ["id", "po_number", "supplier_id", "status"],
"purchase_order_items": ["id", "purchase_order_id", "inventory_product_id", "ordered_quantity"]
},
"08-orders.json": {
"customers": ["id", "customer_code", "name", "customer_type"],
"customer_orders": ["id", "customer_id", "order_number", "status"],
"order_items": ["id", "order_id", "product_id", "quantity"]
},
"09-sales.json": {
"sales_data": ["id", "product_id", "quantity_sold", "unit_price"]
},
"10-forecasting.json": {
"forecasts": ["id", "product_id", "forecast_date", "predicted_quantity"]
}
}
for filename, required_structure in required_fields_map.items():
if filename in self.fixtures:
data = self.fixtures[filename]
for entity_type, required_fields in required_structure.items():
if entity_type in data:
entities = data[entity_type]
if isinstance(entities, list):
for entity in entities:
if isinstance(entity, dict):
for field in required_fields:
if field not in entity:
entity_id = entity.get('id', 'unknown')
self.errors.append(
f"{filename}: {entity_type} {entity_id} missing required field {field}"
)
elif isinstance(entities, dict):
# Handle tenant which is a single dict
for field in required_fields:
if field not in entities:
entity_id = entities.get('id', 'unknown')
self.errors.append(
f"{filename}: {entity_type} {entity_id} missing required field {field}"
)
def validate_date_formats(self):
"""Validate that all dates are in ISO format."""
date_fields = [
"created_at", "updated_at", "start_time", "end_time",
"order_date", "delivery_date", "expected_delivery_date",
"sale_date", "forecast_date", "contract_start_date", "contract_end_date"
]
for filename, data in self.fixtures.items():
self._check_date_fields(data, date_fields, filename)
def _check_date_fields(self, data: Any, date_fields: List[str], context: str):
"""Recursively check for date fields."""
if isinstance(data, dict):
for key, value in data.items():
if key in date_fields and isinstance(value, str):
if not self._is_iso_format(value):
self.errors.append(f"{context}: Invalid date format in {key}: {value}")
elif isinstance(value, (dict, list)):
self._check_date_fields(value, date_fields, context)
elif isinstance(data, list):
for item in data:
self._check_date_fields(item, date_fields, context)
def _is_iso_format(self, date_str: str) -> bool:
"""Check if a string is in ISO format or BASE_TS marker."""
try:
# Accept BASE_TS markers (e.g., "BASE_TS - 1h", "BASE_TS + 2d")
if date_str.startswith("BASE_TS"):
return True
# Accept offset-based dates (used in some fixtures)
if "_offset_" in date_str:
return True
# Simple check for ISO format (YYYY-MM-DDTHH:MM:SSZ or similar)
if len(date_str) < 19:
return False
return date_str.endswith('Z') and date_str[10] == 'T'
except:
return False
def run_validation(self) -> bool:
"""Run all validation checks."""
print("🔍 Starting cross-reference validation...")
# Load data
self.load_fixtures()
self.load_cross_refs_map()
if self.errors:
print("❌ Errors during data loading:")
for error in self.errors:
print(f" - {error}")
return False
# Run validation checks
print("📋 Validating cross-references...")
self.validate_cross_references()
print("📝 Validating required fields...")
self.validate_required_fields()
print("📅 Validating date formats...")
self.validate_date_formats()
# Report results
if self.errors:
print(f"\n❌ Validation failed with {len(self.errors)} errors:")
for error in self.errors:
print(f" - {error}")
if self.warnings:
print(f"\n⚠️ {len(self.warnings)} warnings:")
for warning in self.warnings:
print(f" - {warning}")
return False
else:
print("\n✅ All validation checks passed!")
if self.warnings:
print(f"⚠️ {len(self.warnings)} warnings:")
for warning in self.warnings:
print(f" - {warning}")
return True
if __name__ == "__main__":
validator = CrossReferenceValidator()
success = validator.run_validation()
sys.exit(0 if success else 1)

58
services/alert_processor/app/consumer/event_consumer.py
View File

@@ -7,6 +7,7 @@ the enrichment pipeline.
import asyncio
import json
from datetime import datetime, timezone
from aio_pika import connect_robust, IncomingMessage, Connection, Channel
import structlog
@@ -112,9 +113,64 @@ class EventConsumer:
# Enrich the event
enriched_event = await self.enricher.enrich_event(event)
# Store in database
# Check for duplicate alerts before storing
async with AsyncSessionLocal() as session:
repo = EventRepository(session)
# Check for duplicate if it's an alert
if event.event_class == "alert":
from uuid import UUID
duplicate_event = await repo.check_duplicate_alert(
tenant_id=UUID(event.tenant_id),
event_type=event.event_type,
entity_links=enriched_event.entity_links,
event_metadata=enriched_event.event_metadata,
time_window_hours=24 # Check for duplicates in last 24 hours
)
if duplicate_event:
logger.info(
"Duplicate alert detected, skipping",
event_type=event.event_type,
tenant_id=event.tenant_id,
duplicate_event_id=str(duplicate_event.id)
)
# Update the existing event's metadata instead of creating a new one
# This could include updating delay times, affected orders, etc.
duplicate_event.event_metadata = enriched_event.event_metadata
duplicate_event.updated_at = datetime.now(timezone.utc)
duplicate_event.priority_score = enriched_event.priority_score
duplicate_event.priority_level = enriched_event.priority_level
# Update other relevant fields that might have changed
duplicate_event.urgency = enriched_event.urgency.dict() if enriched_event.urgency else None
duplicate_event.business_impact = enriched_event.business_impact.dict() if enriched_event.business_impact else None
await session.commit()
await session.refresh(duplicate_event)
# Send notification for updated event
await self._send_notification(duplicate_event)
# Publish to SSE
await self.sse_svc.publish_event(duplicate_event)
logger.info(
"Duplicate alert updated",
event_id=str(duplicate_event.id),
event_type=event.event_type,
priority_level=duplicate_event.priority_level,
priority_score=duplicate_event.priority_score
)
return # Exit early since we handled the duplicate
else:
logger.info(
"New unique alert, proceeding with creation",
event_type=event.event_type,
tenant_id=event.tenant_id
)
# Store in database (if not a duplicate)
stored_event = await repo.create_event(enriched_event)
# Send to notification service (if alert)

101
services/alert_processor/app/repositories/event_repository.py
View File

@@ -148,6 +148,107 @@ class EventRepository:
result = await self.session.execute(query)
return result.scalar_one_or_none()
async def check_duplicate_alert(self, tenant_id: UUID, event_type: str, entity_links: Dict, event_metadata: Dict, time_window_hours: int = 24) -> Optional[Event]:
"""
Check if a similar alert already exists within the time window.
Args:
tenant_id: Tenant UUID
event_type: Type of event (e.g., 'production_delay', 'critical_stock_shortage')
entity_links: Entity references (e.g., batch_id, po_id, ingredient_id)
event_metadata: Event metadata for comparison
time_window_hours: Time window in hours to check for duplicates
Returns:
Existing event if duplicate found, None otherwise
"""
from datetime import datetime, timedelta, timezone
# Calculate time threshold
time_threshold = datetime.now(timezone.utc) - timedelta(hours=time_window_hours)
# Build query to find potential duplicates
query = select(Event).where(
and_(
Event.tenant_id == tenant_id,
Event.event_type == event_type,
Event.status == "active", # Only check active alerts
Event.created_at >= time_threshold
)
)
result = await self.session.execute(query)
potential_duplicates = result.scalars().all()
# Compare each potential duplicate for semantic similarity
for event in potential_duplicates:
# Check if entity links match (same batch, PO, ingredient, etc.)
if self._entities_match(event.entity_links, entity_links):
# For production delays, check if it's the same batch with similar delay
if event_type == "production_delay":
if self._production_delay_match(event.event_metadata, event_metadata):
return event
# For critical stock shortages, check if it's the same ingredient
elif event_type == "critical_stock_shortage":
if self._stock_shortage_match(event.event_metadata, event_metadata):
return event
# For delivery overdue alerts, check if it's the same PO
elif event_type == "delivery_overdue":
if self._delivery_overdue_match(event.event_metadata, event_metadata):
return event
# For general matching based on metadata
else:
if self._metadata_match(event.event_metadata, event_metadata):
return event
return None
def _entities_match(self, existing_links: Dict, new_links: Dict) -> bool:
"""Check if entity links match between two events."""
if not existing_links or not new_links:
return False
# Check for common entity types
common_entities = ['production_batch', 'purchase_order', 'ingredient', 'supplier', 'equipment']
for entity in common_entities:
if entity in existing_links and entity in new_links:
if existing_links[entity] == new_links[entity]:
return True
return False
def _production_delay_match(self, existing_meta: Dict, new_meta: Dict) -> bool:
"""Check if production delay alerts match."""
# Same batch_id indicates same production issue
return (existing_meta.get('batch_id') == new_meta.get('batch_id') and
existing_meta.get('product_name') == new_meta.get('product_name'))
def _stock_shortage_match(self, existing_meta: Dict, new_meta: Dict) -> bool:
"""Check if stock shortage alerts match."""
# Same ingredient_id indicates same shortage issue
return existing_meta.get('ingredient_id') == new_meta.get('ingredient_id')
def _delivery_overdue_match(self, existing_meta: Dict, new_meta: Dict) -> bool:
"""Check if delivery overdue alerts match."""
# Same PO indicates same delivery issue
return existing_meta.get('po_id') == new_meta.get('po_id')
def _metadata_match(self, existing_meta: Dict, new_meta: Dict) -> bool:
"""Generic metadata matching for other alert types."""
# Check for common identifying fields
common_fields = ['batch_id', 'po_id', 'ingredient_id', 'supplier_id', 'equipment_id']
for field in common_fields:
if field in existing_meta and field in new_meta:
if existing_meta[field] == new_meta[field]:
return True
return False
async def get_summary(self, tenant_id: UUID) -> EventSummary:
"""
Get summary statistics for dashboard.

3
services/auth/app/api/__init__.py
View File

@@ -0,0 +1,3 @@
from .internal_demo import router as internal_demo_router
__all__ = ["internal_demo_router"]

244
services/auth/app/api/internal_demo.py Normal file
View File

@@ -0,0 +1,244 @@
"""
Internal Demo Cloning API for Auth Service
Service-to-service endpoint for cloning authentication and user data
"""
from fastapi import APIRouter, Depends, HTTPException, Header
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
import structlog
import uuid
from datetime import datetime, timezone
from typing import Optional
import os
import sys
from pathlib import Path
# Add shared path
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent))
from app.core.database import get_db
from app.models.users import User
from app.core.config import settings
logger = structlog.get_logger()
router = APIRouter()
# Base demo tenant IDs
DEMO_TENANT_PROFESSIONAL = "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6"
def verify_internal_api_key(x_internal_api_key: Optional[str] = Header(None)):
"""Verify internal API key for service-to-service communication"""
if x_internal_api_key != settings.INTERNAL_API_KEY:
logger.warning("Unauthorized internal API access attempted")
raise HTTPException(status_code=403, detail="Invalid internal API key")
return True
@router.post("/internal/demo/clone")
async def clone_demo_data(
base_tenant_id: str,
virtual_tenant_id: str,
demo_account_type: str,
session_id: Optional[str] = None,
session_created_at: Optional[str] = None,
db: AsyncSession = Depends(get_db),
_: bool = Depends(verify_internal_api_key)
):
"""
Clone auth service data for a virtual demo tenant
Clones:
- Demo users (owner and staff)
Note: Tenant memberships are handled by the tenant service's internal_demo endpoint
Args:
base_tenant_id: Template tenant UUID to clone from
virtual_tenant_id: Target virtual tenant UUID
demo_account_type: Type of demo account
session_id: Originating session ID for tracing
Returns:
Cloning status and record counts
"""
start_time = datetime.now(timezone.utc)
# Parse session creation time
if session_created_at:
try:
session_time = datetime.fromisoformat(session_created_at.replace('Z', '+00:00'))
except (ValueError, AttributeError):
session_time = start_time
else:
session_time = start_time
logger.info(
"Starting auth data cloning",
base_tenant_id=base_tenant_id,
virtual_tenant_id=virtual_tenant_id,
demo_account_type=demo_account_type,
session_id=session_id,
session_created_at=session_created_at
)
try:
# Validate UUIDs
base_uuid = uuid.UUID(base_tenant_id)
virtual_uuid = uuid.UUID(virtual_tenant_id)
# Note: We don't check for existing users since User model doesn't have demo_session_id
# Demo users are identified by their email addresses from the seed data
# Idempotency is handled by checking if each user email already exists below
# Load demo users from JSON seed file
try:
from shared.utils.seed_data_paths import get_seed_data_path
if demo_account_type == "professional":
json_file = get_seed_data_path("professional", "02-auth.json")
elif demo_account_type == "enterprise":
json_file = get_seed_data_path("enterprise", "02-auth.json")
else:
raise ValueError(f"Invalid demo account type: {demo_account_type}")
except ImportError:
# Fallback to original path
seed_data_dir = Path(__file__).parent.parent.parent.parent / "infrastructure" / "seed-data"
if demo_account_type == "professional":
json_file = seed_data_dir / "professional" / "02-auth.json"
elif demo_account_type == "enterprise":
json_file = seed_data_dir / "enterprise" / "parent" / "02-auth.json"
else:
raise ValueError(f"Invalid demo account type: {demo_account_type}")
if not json_file.exists():
raise HTTPException(
status_code=404,
detail=f"Seed data file not found: {json_file}"
)
# Load JSON data
import json
with open(json_file, 'r', encoding='utf-8') as f:
seed_data = json.load(f)
# Get demo users for this account type
demo_users_data = seed_data.get("users", [])
records_cloned = 0
# Create users and tenant memberships
for user_data in demo_users_data:
user_id = uuid.UUID(user_data["id"])
# Create user if not exists
user_result = await db.execute(
select(User).where(User.id == user_id)
)
existing_user = user_result.scalars().first()
if not existing_user:
# Apply date adjustments to created_at and updated_at
from shared.utils.demo_dates import adjust_date_for_demo
# Adjust created_at date
created_at_str = user_data.get("created_at", session_time.isoformat())
if isinstance(created_at_str, str):
try:
original_created_at = datetime.fromisoformat(created_at_str.replace('Z', '+00:00'))
adjusted_created_at = adjust_date_for_demo(original_created_at, session_time)
except ValueError:
adjusted_created_at = session_time
else:
adjusted_created_at = session_time
# Adjust updated_at date (same as created_at for demo users)
adjusted_updated_at = adjusted_created_at
# Get full_name from either "name" or "full_name" field
full_name = user_data.get("full_name") or user_data.get("name", "Demo User")
# For demo users, use a placeholder hashed password (they won't actually log in)
# In production, this would be properly hashed
demo_hashed_password = "$2b$12$LQv3c1yqBWVHxkd0LHAkCOYz6TtxMQJqhN8/LewY5GyYqNlI.eFKW" # "demo_password"
user = User(
id=user_id,
email=user_data["email"],
full_name=full_name,
hashed_password=demo_hashed_password,
is_active=user_data.get("is_active", True),
is_verified=True,
role=user_data.get("role", "member"),
language=user_data.get("language", "es"),
timezone=user_data.get("timezone", "Europe/Madrid"),
created_at=adjusted_created_at,
updated_at=adjusted_updated_at
)
db.add(user)
records_cloned += 1
# Note: Tenant memberships are handled by tenant service
# Only create users in auth service
await db.commit()
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
logger.info(
"Auth data cloning completed",
virtual_tenant_id=virtual_tenant_id,
session_id=session_id,
records_cloned=records_cloned,
duration_ms=duration_ms
)
return {
"service": "auth",
"status": "completed",
"records_cloned": records_cloned,
"base_tenant_id": str(base_tenant_id),
"virtual_tenant_id": str(virtual_tenant_id),
"session_id": session_id,
"demo_account_type": demo_account_type,
"duration_ms": duration_ms
}
except ValueError as e:
logger.error("Invalid UUID format", error=str(e), virtual_tenant_id=virtual_tenant_id)
raise HTTPException(status_code=400, detail=f"Invalid UUID: {str(e)}")
except Exception as e:
logger.error(
"Failed to clone auth data",
error=str(e),
virtual_tenant_id=virtual_tenant_id,
exc_info=True
)
# Rollback on error
await db.rollback()
return {
"service": "auth",
"status": "failed",
"records_cloned": 0,
"duration_ms": int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000),
"error": str(e)
}
@router.get("/clone/health")
async def clone_health_check(_: bool = Depends(verify_internal_api_key)):
"""
Health check for internal cloning endpoint
Used by orchestrator to verify service availability
"""
return {
"service": "auth",
"clone_endpoint": "available",
"version": "1.0.0"
}

3
services/auth/app/main.py
View File

@@ -6,7 +6,7 @@ from fastapi import FastAPI
from sqlalchemy import text
from app.core.config import settings
from app.core.database import database_manager
from app.api import auth_operations, users, onboarding_progress, consent, data_export, account_deletion
from app.api import auth_operations, users, onboarding_progress, consent, data_export, account_deletion, internal_demo
from shared.service_base import StandardFastAPIService
from shared.messaging import UnifiedEventPublisher
@@ -169,3 +169,4 @@ service.add_router(onboarding_progress.router, tags=["onboarding"])
service.add_router(consent.router, tags=["gdpr", "consent"])
service.add_router(data_export.router, tags=["gdpr", "data-export"])
service.add_router(account_deletion.router, tags=["gdpr", "account-deletion"])
service.add_router(internal_demo.router, tags=["internal-demo"])

151
services/auth/scripts/demo/seed_demo_users.py
View File

@@ -1,151 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Seed Demo Users
Creates demo user accounts for production demo environment
"""
import asyncio
import sys
from pathlib import Path
project_root = Path(__file__).parent.parent.parent
sys.path.insert(0, str(project_root))
import os
os.environ.setdefault("AUTH_DATABASE_URL", os.getenv("AUTH_DATABASE_URL"))
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
from sqlalchemy import select
import structlog
import uuid
import json
logger = structlog.get_logger()
# Demo user configurations (public credentials for prospects)
DEMO_USERS = [
{
"id": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6",
"email": "demo.individual@panaderiasanpablo.com",
"password_hash": "$2b$12$LQv3c1yqBWVHxkd0LHAkCOYz6TtxMQJqhN8/LewY5GyYVPWzO8hGi", # DemoSanPablo2024!
"full_name": "María García López",
"phone": "+34 912 345 678",
"language": "es",
"timezone": "Europe/Madrid",
"role": "owner",
"is_active": True,
"is_verified": True,
"is_demo": True
},
{
"id": "d2e3f4a5-b6c7-48d9-e0f1-a2b3c4d5e6f7",
"email": "demo.central@panaderialaespiga.com",
"password_hash": "$2b$12$LQv3c1yqBWVHxkd0LHAkCOYz6TtxMQJqhN8/LewY5GyYVPWzO8hGi", # DemoLaEspiga2024!
"full_name": "Carlos Martínez Ruiz",
"phone": "+34 913 456 789",
"language": "es",
"timezone": "Europe/Madrid",
"role": "owner",
"is_active": True,
"is_verified": True,
"is_demo": True
}
]
def load_staff_users():
"""Load staff users from JSON file"""
json_file = Path(__file__).parent / "usuarios_staff_es.json"
if not json_file.exists():
logger.warning(f"Staff users JSON not found: {json_file}, skipping staff users")
return []
with open(json_file, 'r', encoding='utf-8') as f:
data = json.load(f)
# Combine both individual and central bakery staff
all_staff = data.get("staff_individual_bakery", []) + data.get("staff_central_bakery", [])
logger.info(f"Loaded {len(all_staff)} staff users from JSON")
return all_staff
async def seed_demo_users():
"""Seed demo users into auth database"""
database_url = os.getenv("AUTH_DATABASE_URL")
if not database_url:
logger.error("AUTH_DATABASE_URL environment variable not set")
return False
logger.info("Connecting to auth database", url=database_url.split("@")[-1])
engine = create_async_engine(database_url, echo=False)
session_factory = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
try:
async with session_factory() as session:
# Import User model
try:
from app.models.users import User
except ImportError:
from services.auth.app.models.users import User
from datetime import datetime, timezone
# Load staff users from JSON
staff_users = load_staff_users()
# Combine owner users with staff users
all_users = DEMO_USERS + staff_users
logger.info(f"Seeding {len(all_users)} total users ({len(DEMO_USERS)} owners + {len(staff_users)} staff)")
created_count = 0
skipped_count = 0
for user_data in all_users:
# Check if user already exists
result = await session.execute(
select(User).where(User.email == user_data["email"])
)
existing_user = result.scalar_one_or_none()
if existing_user:
logger.debug(f"Demo user already exists: {user_data['email']}")
skipped_count += 1
continue
# Create new demo user
user = User(
id=uuid.UUID(user_data["id"]),
email=user_data["email"],
hashed_password=user_data["password_hash"],
full_name=user_data["full_name"],
phone=user_data.get("phone"),
language=user_data.get("language", "es"),
timezone=user_data.get("timezone", "Europe/Madrid"),
role=user_data.get("role", "owner"),
is_active=user_data.get("is_active", True),
is_verified=user_data.get("is_verified", True),
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc)
)
session.add(user)
created_count += 1
logger.debug(f"Created demo user: {user_data['email']} ({user_data.get('role', 'owner')})")
await session.commit()
logger.info(f"Demo users seeded successfully: {created_count} created, {skipped_count} skipped")
return True
except Exception as e:
logger.error(f"Failed to seed demo users: {str(e)}")
return False
finally:
await engine.dispose()
if __name__ == "__main__":
result = asyncio.run(seed_demo_users())
sys.exit(0 if result else 1)

1116
services/demo_session/README.md
View File

File diff suppressed because it is too large Load Diff

205
services/demo_session/app/api/demo_sessions.py
View File

@@ -25,10 +25,17 @@ route_builder = RouteBuilder('demo')
async def _background_cloning_task(session_id: str, session_obj_id: UUID, base_tenant_id: str):
"""Background task for orchestrated cloning - creates its own DB session"""
from app.core.database import db_manager
from app.models import DemoSession
from sqlalchemy import select
from app.models import DemoSession, DemoSessionStatus
from sqlalchemy import select, update
from app.core.redis_wrapper import get_redis
logger.info(
"Starting background cloning task",
session_id=session_id,
session_obj_id=str(session_obj_id),
base_tenant_id=base_tenant_id
)
# Create new database session for background task
async with db_manager.session_factory() as db:
try:
@@ -43,8 +50,30 @@ async def _background_cloning_task(session_id: str, session_obj_id: UUID, base_t
if not session:
logger.error("Session not found for cloning", session_id=session_id)
# Mark session as failed in Redis for frontend polling
try:
client = await redis.get_client()
status_key = f"session:{session_id}:status"
import json
status_data = {
"session_id": session_id,
"status": "failed",
"error": "Session not found in database",
"progress": {},
"total_records_cloned": 0
}
await client.setex(status_key, 7200, json.dumps(status_data))
except Exception as redis_error:
logger.error("Failed to update Redis status for missing session", error=str(redis_error))
return
logger.info(
"Found session for cloning",
session_id=session_id,
current_status=session.status.value,
demo_account_type=session.demo_account_type
)
# Create session manager with new DB session
session_manager = DemoSessionManager(db, redis)
await session_manager.trigger_orchestrated_cloning(session, base_tenant_id)
@@ -58,19 +87,15 @@ async def _background_cloning_task(session_id: str, session_obj_id: UUID, base_t
)
# Attempt to update session status to failed if possible
try:
from app.core.database import db_manager
from app.models import DemoSession
from sqlalchemy import select, update
# Try to update the session directly in DB to mark it as failed
async with db_manager.session_factory() as update_db:
from app.models import DemoSessionStatus
update_result = await update_db.execute(
update(DemoSession)
.where(DemoSession.id == session_obj_id)
.values(status=DemoSessionStatus.FAILED, cloning_completed_at=datetime.now(timezone.utc))
)
await update_db.commit()
logger.info("Successfully updated session status to FAILED in database")
except Exception as update_error:
logger.error(
"Failed to update session status to FAILED after background task error",
@@ -78,6 +103,25 @@ async def _background_cloning_task(session_id: str, session_obj_id: UUID, base_t
error=str(update_error)
)
# Also update Redis status for frontend polling
try:
client = await redis.get_client()
status_key = f"session:{session_id}:status"
import json
status_data = {
"session_id": session_id,
"status": "failed",
"error": str(e),
"progress": {},
"total_records_cloned": 0,
"cloning_completed_at": datetime.now(timezone.utc).isoformat()
}
await client.setex(status_key, 7200, json.dumps(status_data))
logger.info("Successfully updated Redis status to FAILED")
except Exception as redis_error:
logger.error("Failed to update Redis status after background task error", error=str(redis_error))
def _handle_task_result(task, session_id: str):
"""Handle the result of the background cloning task"""
@@ -92,6 +136,36 @@ def _handle_task_result(task, session_id: str):
exc_info=True
)
# Try to update Redis status to reflect the failure
try:
from app.core.redis_wrapper import get_redis
import json
async def update_redis_status():
redis = await get_redis()
client = await redis.get_client()
status_key = f"session:{session_id}:status"
status_data = {
"session_id": session_id,
"status": "failed",
"error": f"Task exception: {str(e)}",
"progress": {},
"total_records_cloned": 0,
"cloning_completed_at": datetime.now(timezone.utc).isoformat()
}
await client.setex(status_key, 7200, json.dumps(status_data))
# Run the async function
import asyncio
asyncio.run(update_redis_status())
except Exception as redis_error:
logger.error(
"Failed to update Redis status in task result handler",
session_id=session_id,
error=str(redis_error)
)
@router.post(
route_builder.build_base_route("sessions", include_tenant_prefix=False),
@@ -209,6 +283,123 @@ async def get_session_status(
return status
@router.get(
route_builder.build_resource_detail_route("sessions", "session_id", include_tenant_prefix=False) + "/errors",
response_model=dict
)
async def get_session_errors(
session_id: str = Path(...),
db: AsyncSession = Depends(get_db),
redis: DemoRedisWrapper = Depends(get_redis)
):
"""
Get detailed error information for a failed demo session
Returns comprehensive error details including:
- Failed services and their specific errors
- Network connectivity issues
- Timeout problems
- Service-specific error messages
"""
try:
# Try to get the session first
session_manager = DemoSessionManager(db, redis)
session = await session_manager.get_session(session_id)
if not session:
raise HTTPException(status_code=404, detail="Session not found")
# Check if session has failed status
if session.status != DemoSessionStatus.FAILED:
return {
"session_id": session_id,
"status": session.status.value,
"has_errors": False,
"message": "Session has not failed - no error details available"
}
# Get detailed error information from cloning progress
error_details = []
failed_services = []
if session.cloning_progress:
for service_name, service_data in session.cloning_progress.items():
if isinstance(service_data, dict) and service_data.get("status") == "failed":
failed_services.append(service_name)
error_details.append({
"service": service_name,
"error": service_data.get("error", "Unknown error"),
"response_status": service_data.get("response_status"),
"response_text": service_data.get("response_text", ""),
"duration_ms": service_data.get("duration_ms", 0)
})
# Check Redis for additional error information
client = await redis.get_client()
error_key = f"session:{session_id}:errors"
redis_errors = await client.get(error_key)
if redis_errors:
import json
try:
additional_errors = json.loads(redis_errors)
if isinstance(additional_errors, list):
error_details.extend(additional_errors)
elif isinstance(additional_errors, dict):
error_details.append(additional_errors)
except json.JSONDecodeError:
logger.warning("Failed to parse Redis error data", session_id=session_id)
# Create comprehensive error report
error_report = {
"session_id": session_id,
"status": session.status.value,
"has_errors": True,
"failed_services": failed_services,
"error_count": len(error_details),
"errors": error_details,
"cloning_started_at": session.cloning_started_at.isoformat() if session.cloning_started_at else None,
"cloning_completed_at": session.cloning_completed_at.isoformat() if session.cloning_completed_at else None,
"total_records_cloned": session.total_records_cloned,
"demo_account_type": session.demo_account_type
}
# Add troubleshooting suggestions
suggestions = []
if "tenant" in failed_services:
suggestions.append("Check if tenant service is running and accessible")
suggestions.append("Verify base tenant ID configuration")
if "auth" in failed_services:
suggestions.append("Check if auth service is running and accessible")
suggestions.append("Verify seed data files for auth service")
if any(svc in failed_services for svc in ["inventory", "recipes", "suppliers", "production"]):
suggestions.append("Check if the specific service is running and accessible")
suggestions.append("Verify seed data files exist and are valid")
if any("timeout" in error.get("error", "").lower() for error in error_details):
suggestions.append("Check service response times and consider increasing timeouts")
suggestions.append("Verify network connectivity between services")
if any("network" in error.get("error", "").lower() for error in error_details):
suggestions.append("Check network connectivity between demo-session and other services")
suggestions.append("Verify DNS resolution and service discovery")
if suggestions:
error_report["troubleshooting_suggestions"] = suggestions
return error_report
except Exception as e:
logger.error(
"Failed to retrieve session errors",
session_id=session_id,
error=str(e),
exc_info=True
)
raise HTTPException(
status_code=500,
detail=f"Failed to retrieve error details: {str(e)}"
)
@router.post(
route_builder.build_resource_detail_route("sessions", "session_id", include_tenant_prefix=False) + "/retry",
response_model=dict

17
services/demo_session/app/api/internal.py
View File

@@ -9,7 +9,7 @@ import structlog
from app.core import get_db, settings
from app.core.redis_wrapper import get_redis, DemoRedisWrapper
from app.services.data_cloner import DemoDataCloner
from app.services.cleanup_service import DemoCleanupService
logger = structlog.get_logger()
router = APIRouter()
@@ -51,14 +51,21 @@ async def cleanup_demo_session_internal(
session_id=session_id
)
data_cloner = DemoDataCloner(db, redis)
cleanup_service = DemoCleanupService(db, redis)
# Validate required fields
if not tenant_id or not session_id:
raise ValueError("tenant_id and session_id are required")
# Delete session data for this tenant
await data_cloner.delete_session_data(
str(tenant_id),
session_id
await cleanup_service._delete_tenant_data(
tenant_id=str(tenant_id),
session_id=str(session_id)
)
# Delete Redis data
await redis.delete_session_data(str(session_id))
logger.info(
"Internal cleanup completed",
tenant_id=tenant_id,

8
services/demo_session/app/core/config.py
View File

@@ -48,23 +48,23 @@ class Settings(BaseServiceSettings):
"email": "demo.enterprise@panaderiacentral.com",
"name": "Panadería Central - Demo Enterprise",
"subdomain": "demo-central",
"base_tenant_id": "c3d4e5f6-a7b8-49c0-d1e2-f3a4b5c6d7e8",
"base_tenant_id": "80000000-0000-4000-a000-000000000001",
"subscription_tier": "enterprise",
"tenant_type": "parent",
"children": [
{
"name": "Madrid Centro",
"base_tenant_id": "d4e5f6a7-b8c9-40d1-e2f3-a4b5c6d7e8f9",
"base_tenant_id": "A0000000-0000-4000-a000-000000000001",
"location": {"city": "Madrid", "zone": "Centro", "latitude": 40.4168, "longitude": -3.7038}
},
{
"name": "Barcelona Gràcia",
"base_tenant_id": "e5f6a7b8-c9d0-41e2-f3a4-b5c6d7e8f9a0",
"base_tenant_id": "B0000000-0000-4000-a000-000000000001",
"location": {"city": "Barcelona", "zone": "Gràcia", "latitude": 41.4036, "longitude": 2.1561}
},
{
"name": "Valencia Ruzafa",
"base_tenant_id": "f6a7b8c9-d0e1-42f3-a4b5-c6d7e8f9a0b1",
"base_tenant_id": "C0000000-0000-4000-a000-000000000001",
"location": {"city": "Valencia", "zone": "Ruzafa", "latitude": 39.4623, "longitude": -0.3645}
}
]

85
services/demo_session/app/monitoring/metrics.py Normal file
View File

@@ -0,0 +1,85 @@
"""
Prometheus metrics for demo session service
"""
from prometheus_client import Counter, Histogram, Gauge
# Counters
demo_sessions_created_total = Counter(
'demo_sessions_created_total',
'Total number of demo sessions created',
['tier', 'status']
)
demo_sessions_deleted_total = Counter(
'demo_sessions_deleted_total',
'Total number of demo sessions deleted',
['tier', 'status']
)
demo_cloning_errors_total = Counter(
'demo_cloning_errors_total',
'Total number of cloning errors',
['tier', 'service', 'error_type']
)
# Histograms (for latency percentiles)
demo_session_creation_duration_seconds = Histogram(
'demo_session_creation_duration_seconds',
'Duration of demo session creation',
['tier'],
buckets=[1, 2, 5, 7, 10, 12, 15, 18, 20, 25, 30, 40, 50, 60]
)
demo_service_clone_duration_seconds = Histogram(
'demo_service_clone_duration_seconds',
'Duration of individual service cloning',
['tier', 'service'],
buckets=[0.5, 1, 2, 3, 5, 10, 15, 20, 30, 40, 50]
)
demo_session_cleanup_duration_seconds = Histogram(
'demo_session_cleanup_duration_seconds',
'Duration of demo session cleanup',
['tier'],
buckets=[0.5, 1, 2, 5, 10, 15, 20, 30]
)
# Gauges
demo_sessions_active = Gauge(
'demo_sessions_active',
'Number of currently active demo sessions',
['tier']
)
demo_sessions_pending_cleanup = Gauge(
'demo_sessions_pending_cleanup',
'Number of demo sessions pending cleanup'
)
# Alert generation metrics
demo_alerts_generated_total = Counter(
'demo_alerts_generated_total',
'Total number of alerts generated post-clone',
['tier', 'alert_type']
)
demo_ai_insights_generated_total = Counter(
'demo_ai_insights_generated_total',
'Total number of AI insights generated post-clone',
['tier', 'insight_type']
)
# Cross-service metrics
demo_cross_service_calls_total = Counter(
'demo_cross_service_calls_total',
'Total number of cross-service API calls during cloning',
['source_service', 'target_service', 'status']
)
demo_cross_service_call_duration_seconds = Histogram(
'demo_cross_service_call_duration_seconds',
'Duration of cross-service API calls during cloning',
['source_service', 'target_service'],
buckets=[0.1, 0.2, 0.5, 1, 2, 5, 10, 15, 20, 30]
)

6
services/demo_session/app/services/__init__.py
View File

@@ -1,7 +1,9 @@
"""Demo Session Services"""
from .session_manager import DemoSessionManager
from .data_cloner import DemoDataCloner
from .cleanup_service import DemoCleanupService
__all__ = ["DemoSessionManager", "DemoDataCloner", "DemoCleanupService"]
__all__ = [
"DemoSessionManager",
"DemoCleanupService",
]

238
services/demo_session/app/services/cleanup_service.py
View File

@@ -4,14 +4,21 @@ Handles automatic cleanup of expired sessions
"""
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, update
from datetime import datetime, timezone
from typing import List
from sqlalchemy import select
from datetime import datetime, timezone, timedelta
import structlog
import httpx
import asyncio
import os
from app.models import DemoSession, DemoSessionStatus
from app.services.data_cloner import DemoDataCloner
from datetime import datetime, timezone, timedelta
from app.core.redis_wrapper import DemoRedisWrapper
from app.monitoring.metrics import (
demo_sessions_deleted_total,
demo_session_cleanup_duration_seconds,
demo_sessions_active
)
logger = structlog.get_logger()
@@ -22,7 +29,199 @@ class DemoCleanupService:
def __init__(self, db: AsyncSession, redis: DemoRedisWrapper):
self.db = db
self.redis = redis
self.data_cloner = DemoDataCloner(db, redis)
from app.core.config import settings
self.internal_api_key = settings.INTERNAL_API_KEY
# Service URLs for cleanup
self.services = [
("tenant", os.getenv("TENANT_SERVICE_URL", "http://tenant-service:8000")),
("auth", os.getenv("AUTH_SERVICE_URL", "http://auth-service:8000")),
("inventory", os.getenv("INVENTORY_SERVICE_URL", "http://inventory-service:8000")),
("recipes", os.getenv("RECIPES_SERVICE_URL", "http://recipes-service:8000")),
("suppliers", os.getenv("SUPPLIERS_SERVICE_URL", "http://suppliers-service:8000")),
("production", os.getenv("PRODUCTION_SERVICE_URL", "http://production-service:8000")),
("procurement", os.getenv("PROCUREMENT_SERVICE_URL", "http://procurement-service:8000")),
("sales", os.getenv("SALES_SERVICE_URL", "http://sales-service:8000")),
("orders", os.getenv("ORDERS_SERVICE_URL", "http://orders-service:8000")),
("forecasting", os.getenv("FORECASTING_SERVICE_URL", "http://forecasting-service:8000")),
("orchestrator", os.getenv("ORCHESTRATOR_SERVICE_URL", "http://orchestrator-service:8000")),
]
async def cleanup_session(self, session: DemoSession) -> dict:
"""
Delete all data for a demo session across all services.
Returns:
{
"success": bool,
"total_deleted": int,
"duration_ms": int,
"details": {service: {records_deleted, duration_ms}},
"errors": []
}
"""
start_time = datetime.now(timezone.utc)
virtual_tenant_id = str(session.virtual_tenant_id)
session_id = session.session_id
logger.info(
"Starting demo session cleanup",
session_id=session_id,
virtual_tenant_id=virtual_tenant_id,
demo_account_type=session.demo_account_type
)
# Delete from all services in parallel
tasks = [
self._delete_from_service(name, url, virtual_tenant_id)
for name, url in self.services
]
service_results = await asyncio.gather(*tasks, return_exceptions=True)
# Aggregate results
total_deleted = 0
details = {}
errors = []
for (service_name, _), result in zip(self.services, service_results):
if isinstance(result, Exception):
errors.append(f"{service_name}: {str(result)}")
details[service_name] = {"status": "error", "error": str(result)}
else:
total_deleted += result.get("records_deleted", {}).get("total", 0)
details[service_name] = result
# Delete from Redis
await self._delete_redis_cache(virtual_tenant_id)
# Delete child tenants if enterprise
if session.demo_account_type == "enterprise":
child_metadata = session.session_metadata.get("children", [])
for child in child_metadata:
child_tenant_id = child["virtual_tenant_id"]
await self._delete_from_all_services(child_tenant_id)
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
success = len(errors) == 0
logger.info(
"Demo session cleanup completed",
session_id=session_id,
virtual_tenant_id=virtual_tenant_id,
success=success,
total_deleted=total_deleted,
duration_ms=duration_ms,
error_count=len(errors)
)
return {
"success": success,
"total_deleted": total_deleted,
"duration_ms": duration_ms,
"details": details,
"errors": errors
}
async def _delete_from_service(
self,
service_name: str,
service_url: str,
virtual_tenant_id: str
) -> dict:
"""Delete all data from a single service"""
try:
async with httpx.AsyncClient(timeout=30.0) as client:
response = await client.delete(
f"{service_url}/internal/demo/tenant/{virtual_tenant_id}",
headers={"X-Internal-API-Key": self.internal_api_key}
)
if response.status_code == 200:
return response.json()
elif response.status_code == 404:
# Already deleted or never existed - idempotent
return {
"service": service_name,
"status": "not_found",
"records_deleted": {"total": 0}
}
else:
raise Exception(f"HTTP {response.status_code}: {response.text}")
except Exception as e:
logger.error(
"Failed to delete from service",
service=service_name,
virtual_tenant_id=virtual_tenant_id,
error=str(e)
)
raise
async def _delete_redis_cache(self, virtual_tenant_id: str):
"""Delete all Redis keys for a virtual tenant"""
try:
client = await self.redis.get_client()
pattern = f"*:{virtual_tenant_id}:*"
keys = await client.keys(pattern)
if keys:
await client.delete(*keys)
logger.debug("Deleted Redis cache", tenant_id=virtual_tenant_id, keys_deleted=len(keys))
except Exception as e:
logger.warning("Failed to delete Redis cache", error=str(e), tenant_id=virtual_tenant_id)
async def _delete_from_all_services(self, virtual_tenant_id: str):
"""Delete data from all services for a tenant"""
tasks = [
self._delete_from_service(name, url, virtual_tenant_id)
for name, url in self.services
]
return await asyncio.gather(*tasks, return_exceptions=True)
async def _delete_tenant_data(self, tenant_id: str, session_id: str) -> dict:
"""Delete demo data for a tenant across all services"""
logger.info("Deleting tenant data", tenant_id=tenant_id, session_id=session_id)
results = {}
async def delete_from_service(service_name: str, service_url: str):
try:
async with httpx.AsyncClient(timeout=30.0) as client:
response = await client.delete(
f"{service_url}/internal/demo/tenant/{tenant_id}",
headers={"X-Internal-API-Key": self.internal_api_key}
)
if response.status_code == 200:
logger.debug(f"Deleted data from {service_name}", tenant_id=tenant_id)
return {"service": service_name, "status": "deleted"}
else:
logger.warning(
f"Failed to delete from {service_name}",
status_code=response.status_code,
tenant_id=tenant_id
)
return {"service": service_name, "status": "failed", "error": f"HTTP {response.status_code}"}
except Exception as e:
logger.warning(
f"Exception deleting from {service_name}",
error=str(e),
tenant_id=tenant_id
)
return {"service": service_name, "status": "failed", "error": str(e)}
# Delete from all services in parallel
tasks = [delete_from_service(name, url) for name, url in self.services]
service_results = await asyncio.gather(*tasks, return_exceptions=True)
for result in service_results:
if isinstance(result, Exception):
logger.error("Service deletion failed", error=str(result))
elif isinstance(result, dict):
results[result["service"]] = result
return results
async def cleanup_expired_sessions(self) -> dict:
"""
@@ -32,10 +231,10 @@ class DemoCleanupService:
Returns:
Cleanup statistics
"""
from datetime import timedelta
logger.info("Starting demo session cleanup")
start_time = datetime.now(timezone.utc)
now = datetime.now(timezone.utc)
stuck_threshold = now - timedelta(minutes=5) # Sessions pending > 5 min are stuck
@@ -97,10 +296,7 @@ class DemoCleanupService:
)
for child_id in child_tenant_ids:
try:
await self.data_cloner.delete_session_data(
str(child_id),
session.session_id
)
await self._delete_tenant_data(child_id, session.session_id)
except Exception as child_error:
logger.error(
"Failed to delete child tenant",
@@ -109,11 +305,14 @@ class DemoCleanupService:
)
# Delete parent/main session data
await self.data_cloner.delete_session_data(
await self._delete_tenant_data(
str(session.virtual_tenant_id),
session.session_id
)
# Delete Redis data
await self.redis.delete_session_data(session.session_id)
stats["cleaned_up"] += 1
logger.info(
@@ -137,6 +336,19 @@ class DemoCleanupService:
)
logger.info("Demo session cleanup completed", stats=stats)
# Update Prometheus metrics
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
demo_session_cleanup_duration_seconds.labels(tier="all").observe(duration_ms / 1000)
# Update deleted sessions metrics by tier (we need to determine tiers from sessions)
for session in all_sessions_to_cleanup:
demo_sessions_deleted_total.labels(
tier=session.demo_account_type,
status="success"
).inc()
demo_sessions_active.labels(tier=session.demo_account_type).dec()
return stats
async def cleanup_old_destroyed_sessions(self, days: int = 7) -> int:
@@ -149,8 +361,6 @@ class DemoCleanupService:
Returns:
Number of deleted records
"""
from datetime import timedelta
cutoff_date = datetime.now(timezone.utc) - timedelta(days=days)
result = await self.db.execute(

1188
services/demo_session/app/services/clone_orchestrator.py
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604
services/demo_session/app/services/cloning_strategies.py
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@@ -1,604 +0,0 @@
"""
Cloning Strategy Pattern Implementation
Provides explicit, type-safe strategies for different demo account types
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Dict, Any, List, Optional
from datetime import datetime, timezone
import structlog
logger = structlog.get_logger()
@dataclass
class CloningContext:
"""
Context object containing all data needed for cloning operations
Immutable to prevent state mutation bugs
"""
base_tenant_id: str
virtual_tenant_id: str
session_id: str
demo_account_type: str
session_metadata: Optional[Dict[str, Any]] = None
services_filter: Optional[List[str]] = None
# Orchestrator dependencies (injected)
orchestrator: Any = None # Will be CloneOrchestrator instance
def __post_init__(self):
"""Validate context after initialization"""
if not self.base_tenant_id:
raise ValueError("base_tenant_id is required")
if not self.virtual_tenant_id:
raise ValueError("virtual_tenant_id is required")
if not self.session_id:
raise ValueError("session_id is required")
class CloningStrategy(ABC):
"""
Abstract base class for cloning strategies
Each strategy is a leaf node - no recursion possible
"""
@abstractmethod
async def clone(self, context: CloningContext) -> Dict[str, Any]:
"""
Execute the cloning strategy
Args:
context: Immutable context with all required data
Returns:
Dictionary with cloning results
"""
pass
@abstractmethod
def get_strategy_name(self) -> str:
"""Return the name of this strategy for logging"""
pass
class ProfessionalCloningStrategy(CloningStrategy):
"""
Strategy for single-tenant professional demos
Clones all services for a single virtual tenant
"""
def get_strategy_name(self) -> str:
return "professional"
async def clone(self, context: CloningContext) -> Dict[str, Any]:
"""
Clone demo data for a professional (single-tenant) account
Process:
1. Validate context
2. Clone all services in parallel
3. Handle failures with partial success support
4. Return aggregated results
"""
logger.info(
"Executing professional cloning strategy",
session_id=context.session_id,
virtual_tenant_id=context.virtual_tenant_id,
base_tenant_id=context.base_tenant_id
)
start_time = datetime.now(timezone.utc)
# Determine which services to clone
services_to_clone = context.orchestrator.services
if context.services_filter:
services_to_clone = [
s for s in context.orchestrator.services
if s.name in context.services_filter
]
logger.info(
"Filtering services",
session_id=context.session_id,
services_filter=context.services_filter,
filtered_count=len(services_to_clone)
)
# Rollback stack for cleanup
rollback_stack = []
try:
# Import asyncio here to avoid circular imports
import asyncio
# Create parallel tasks for all services
tasks = []
service_map = {}
for service_def in services_to_clone:
task = asyncio.create_task(
context.orchestrator._clone_service(
service_def=service_def,
base_tenant_id=context.base_tenant_id,
virtual_tenant_id=context.virtual_tenant_id,
demo_account_type=context.demo_account_type,
session_id=context.session_id,
session_metadata=context.session_metadata
)
)
tasks.append(task)
service_map[task] = service_def.name
# Process tasks as they complete for real-time progress updates
service_results = {}
total_records = 0
failed_services = []
required_service_failed = False
completed_count = 0
total_count = len(tasks)
# Create a mapping from futures to service names to properly identify completed tasks
# We'll use asyncio.wait approach instead of as_completed to access the original tasks
pending = set(tasks)
completed_tasks_info = {task: service_map[task] for task in tasks} # Map tasks to service names
while pending:
# Wait for at least one task to complete
done, pending = await asyncio.wait(pending, return_when=asyncio.FIRST_COMPLETED)
# Process each completed task
for completed_task in done:
try:
# Get the result from the completed task
result = await completed_task
# Get the service name from our mapping
service_name = completed_tasks_info[completed_task]
service_def = next(s for s in services_to_clone if s.name == service_name)
service_results[service_name] = result
completed_count += 1
if result.get("status") == "failed":
failed_services.append(service_name)
if service_def.required:
required_service_failed = True
else:
total_records += result.get("records_cloned", 0)
# Track successful services for rollback
if result.get("status") == "completed":
rollback_stack.append({
"type": "service",
"service_name": service_name,
"tenant_id": context.virtual_tenant_id,
"session_id": context.session_id
})
# Update Redis with granular progress after each service completes
await context.orchestrator._update_progress_in_redis(context.session_id, {
"completed_services": completed_count,
"total_services": total_count,
"progress_percentage": int((completed_count / total_count) * 100),
"services": service_results,
"total_records_cloned": total_records
})
logger.info(
f"Service {service_name} completed ({completed_count}/{total_count})",
session_id=context.session_id,
records_cloned=result.get("records_cloned", 0)
)
except Exception as e:
# Handle exceptions from the task itself
service_name = completed_tasks_info[completed_task]
service_def = next(s for s in services_to_clone if s.name == service_name)
logger.error(
f"Service {service_name} cloning failed with exception",
session_id=context.session_id,
error=str(e)
)
service_results[service_name] = {
"status": "failed",
"error": str(e),
"records_cloned": 0
}
failed_services.append(service_name)
completed_count += 1
if service_def.required:
required_service_failed = True
# Determine overall status
if required_service_failed:
overall_status = "failed"
elif failed_services:
overall_status = "partial"
else:
overall_status = "completed"
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
logger.info(
"Professional cloning strategy completed",
session_id=context.session_id,
overall_status=overall_status,
total_records=total_records,
failed_services=failed_services,
duration_ms=duration_ms
)
return {
"overall_status": overall_status,
"services": service_results,
"total_records": total_records,
"failed_services": failed_services,
"duration_ms": duration_ms,
"rollback_stack": rollback_stack
}
except Exception as e:
logger.error(
"Professional cloning strategy failed",
session_id=context.session_id,
error=str(e),
exc_info=True
)
return {
"overall_status": "failed",
"error": str(e),
"services": {},
"total_records": 0,
"failed_services": [],
"duration_ms": int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000),
"rollback_stack": rollback_stack
}
class EnterpriseCloningStrategy(CloningStrategy):
"""
Strategy for multi-tenant enterprise demos
Clones parent tenant + child tenants + distribution data
"""
def get_strategy_name(self) -> str:
return "enterprise"
async def clone(self, context: CloningContext) -> Dict[str, Any]:
"""
Clone demo data for an enterprise (multi-tenant) account
Process:
1. Validate enterprise metadata
2. Clone parent tenant using ProfessionalCloningStrategy
3. Clone child tenants in parallel
4. Update distribution data with child mappings
5. Return aggregated results
NOTE: No recursion - uses ProfessionalCloningStrategy as a helper
"""
logger.info(
"Executing enterprise cloning strategy",
session_id=context.session_id,
parent_tenant_id=context.virtual_tenant_id,
base_tenant_id=context.base_tenant_id
)
start_time = datetime.now(timezone.utc)
results = {
"parent": {},
"children": [],
"distribution": {},
"overall_status": "pending"
}
rollback_stack = []
try:
# Validate enterprise metadata
if not context.session_metadata:
raise ValueError("Enterprise cloning requires session_metadata")
is_enterprise = context.session_metadata.get("is_enterprise", False)
child_configs = context.session_metadata.get("child_configs", [])
child_tenant_ids = context.session_metadata.get("child_tenant_ids", [])
if not is_enterprise:
raise ValueError("session_metadata.is_enterprise must be True")
if not child_configs or not child_tenant_ids:
raise ValueError("Enterprise metadata missing child_configs or child_tenant_ids")
logger.info(
"Enterprise metadata validated",
session_id=context.session_id,
child_count=len(child_configs)
)
# Phase 1: Clone parent tenant
logger.info("Phase 1: Cloning parent tenant", session_id=context.session_id)
# Update progress
await context.orchestrator._update_progress_in_redis(context.session_id, {
"parent": {"overall_status": "pending"},
"children": [],
"distribution": {}
})
# Use ProfessionalCloningStrategy to clone parent
# This is composition, not recursion - explicit strategy usage
professional_strategy = ProfessionalCloningStrategy()
parent_context = CloningContext(
base_tenant_id=context.base_tenant_id,
virtual_tenant_id=context.virtual_tenant_id,
session_id=context.session_id,
demo_account_type="enterprise", # Explicit type for parent tenant
session_metadata=context.session_metadata,
orchestrator=context.orchestrator
)
parent_result = await professional_strategy.clone(parent_context)
results["parent"] = parent_result
# Update progress
await context.orchestrator._update_progress_in_redis(context.session_id, {
"parent": parent_result,
"children": [],
"distribution": {}
})
# Track parent for rollback
if parent_result.get("overall_status") not in ["failed"]:
rollback_stack.append({
"type": "tenant",
"tenant_id": context.virtual_tenant_id,
"session_id": context.session_id
})
# Validate parent success
parent_status = parent_result.get("overall_status")
if parent_status == "failed":
logger.error(
"Parent cloning failed, aborting enterprise demo",
session_id=context.session_id,
failed_services=parent_result.get("failed_services", [])
)
results["overall_status"] = "failed"
results["error"] = "Parent tenant cloning failed"
results["duration_ms"] = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
return results
if parent_status == "partial":
# Check if tenant service succeeded (critical)
parent_services = parent_result.get("services", {})
if parent_services.get("tenant", {}).get("status") != "completed":
logger.error(
"Tenant service failed in parent, cannot create children",
session_id=context.session_id
)
results["overall_status"] = "failed"
results["error"] = "Parent tenant creation failed - cannot create child tenants"
results["duration_ms"] = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
return results
logger.info(
"Parent cloning succeeded, proceeding with children",
session_id=context.session_id,
parent_status=parent_status
)
# Phase 2: Clone child tenants in parallel
logger.info(
"Phase 2: Cloning child outlets",
session_id=context.session_id,
child_count=len(child_configs)
)
# Update progress
await context.orchestrator._update_progress_in_redis(context.session_id, {
"parent": parent_result,
"children": [{"status": "pending"} for _ in child_configs],
"distribution": {}
})
# Import asyncio for parallel execution
import asyncio
child_tasks = []
for idx, (child_config, child_id) in enumerate(zip(child_configs, child_tenant_ids)):
task = context.orchestrator._clone_child_outlet(
base_tenant_id=child_config.get("base_tenant_id"),
virtual_child_id=child_id,
parent_tenant_id=context.virtual_tenant_id,
child_name=child_config.get("name"),
location=child_config.get("location"),
session_id=context.session_id
)
child_tasks.append(task)
child_results = await asyncio.gather(*child_tasks, return_exceptions=True)
# Process child results
children_data = []
failed_children = 0
for idx, result in enumerate(child_results):
if isinstance(result, Exception):
logger.error(
f"Child {idx} cloning failed",
session_id=context.session_id,
error=str(result)
)
children_data.append({
"status": "failed",
"error": str(result),
"child_id": child_tenant_ids[idx] if idx < len(child_tenant_ids) else None
})
failed_children += 1
else:
children_data.append(result)
if result.get("overall_status") == "failed":
failed_children += 1
else:
# Track for rollback
rollback_stack.append({
"type": "tenant",
"tenant_id": result.get("child_id"),
"session_id": context.session_id
})
results["children"] = children_data
# Update progress
await context.orchestrator._update_progress_in_redis(context.session_id, {
"parent": parent_result,
"children": children_data,
"distribution": {}
})
logger.info(
"Child cloning completed",
session_id=context.session_id,
total_children=len(child_configs),
failed_children=failed_children
)
# Phase 3: Clone distribution data
logger.info("Phase 3: Cloning distribution data", session_id=context.session_id)
# Find distribution service definition
dist_service_def = next(
(s for s in context.orchestrator.services if s.name == "distribution"),
None
)
if dist_service_def:
dist_result = await context.orchestrator._clone_service(
service_def=dist_service_def,
base_tenant_id=context.base_tenant_id,
virtual_tenant_id=context.virtual_tenant_id,
demo_account_type="enterprise",
session_id=context.session_id,
session_metadata=context.session_metadata
)
results["distribution"] = dist_result
# Update progress
await context.orchestrator._update_progress_in_redis(context.session_id, {
"parent": parent_result,
"children": children_data,
"distribution": dist_result
})
# Track for rollback
if dist_result.get("status") == "completed":
rollback_stack.append({
"type": "service",
"service_name": "distribution",
"tenant_id": context.virtual_tenant_id,
"session_id": context.session_id
})
total_records_cloned = parent_result.get("total_records", 0)
total_records_cloned += dist_result.get("records_cloned", 0)
else:
logger.warning("Distribution service not found in orchestrator", session_id=context.session_id)
# Determine overall status
if failed_children == len(child_configs):
overall_status = "failed"
elif failed_children > 0:
overall_status = "partial"
else:
overall_status = "completed" # Changed from "ready" to match professional strategy
# Calculate total records cloned (parent + all children)
total_records_cloned = parent_result.get("total_records", 0)
for child in children_data:
if isinstance(child, dict):
total_records_cloned += child.get("total_records", child.get("records_cloned", 0))
results["overall_status"] = overall_status
results["total_records_cloned"] = total_records_cloned # Add for session manager
results["duration_ms"] = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
results["rollback_stack"] = rollback_stack
# Include services from parent for session manager compatibility
results["services"] = parent_result.get("services", {})
logger.info(
"Enterprise cloning strategy completed",
session_id=context.session_id,
overall_status=overall_status,
parent_status=parent_status,
children_status=f"{len(child_configs) - failed_children}/{len(child_configs)} succeeded",
total_records_cloned=total_records_cloned,
duration_ms=results["duration_ms"]
)
return results
except Exception as e:
logger.error(
"Enterprise cloning strategy failed",
session_id=context.session_id,
error=str(e),
exc_info=True
)
return {
"overall_status": "failed",
"error": str(e),
"parent": {},
"children": [],
"distribution": {},
"duration_ms": int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000),
"rollback_stack": rollback_stack
}
class CloningStrategyFactory:
"""
Factory for creating cloning strategies
Provides type-safe strategy selection
"""
_strategies: Dict[str, CloningStrategy] = {
"professional": ProfessionalCloningStrategy(),
"enterprise": EnterpriseCloningStrategy(),
"enterprise_child": ProfessionalCloningStrategy() # Alias: children use professional strategy
}
@classmethod
def get_strategy(cls, demo_account_type: str) -> CloningStrategy:
"""
Get the appropriate cloning strategy for the demo account type
Args:
demo_account_type: Type of demo account ("professional" or "enterprise")
Returns:
CloningStrategy instance
Raises:
ValueError: If demo_account_type is not supported
"""
strategy = cls._strategies.get(demo_account_type)
if not strategy:
raise ValueError(
f"Unknown demo_account_type: {demo_account_type}. "
f"Supported types: {list(cls._strategies.keys())}"
)
return strategy
@classmethod
def register_strategy(cls, name: str, strategy: CloningStrategy):
"""
Register a custom cloning strategy
Args:
name: Strategy name
strategy: Strategy instance
"""
cls._strategies[name] = strategy
logger.info(f"Registered custom cloning strategy: {name}")

356
services/demo_session/app/services/data_cloner.py
View File

@@ -1,356 +0,0 @@
"""
Demo Data Cloner
Clones base demo data to session-specific virtual tenants
"""
from sqlalchemy.ext.asyncio import AsyncSession
from typing import Dict, Any, List, Optional
import httpx
import structlog
import uuid
import os
import asyncio
from app.core.redis_wrapper import DemoRedisWrapper
from app.core import settings
logger = structlog.get_logger()
class DemoDataCloner:
"""Clones demo data for isolated sessions"""
def __init__(self, db: AsyncSession, redis: DemoRedisWrapper):
self.db = db
self.redis = redis
self._http_client: Optional[httpx.AsyncClient] = None
async def get_http_client(self) -> httpx.AsyncClient:
"""Get or create shared HTTP client with connection pooling"""
if self._http_client is None:
self._http_client = httpx.AsyncClient(
timeout=httpx.Timeout(30.0, connect_timeout=10.0),
limits=httpx.Limits(
max_connections=20,
max_keepalive_connections=10,
keepalive_expiry=30.0
)
)
return self._http_client
async def close(self):
"""Close HTTP client on cleanup"""
if self._http_client:
await self._http_client.aclose()
self._http_client = None
async def clone_tenant_data(
self,
session_id: str,
base_demo_tenant_id: str,
virtual_tenant_id: str,
demo_account_type: str
) -> Dict[str, Any]:
"""
Clone all demo data from base tenant to virtual tenant
Args:
session_id: Session ID
base_demo_tenant_id: Base demo tenant UUID
virtual_tenant_id: Virtual tenant UUID for this session
demo_account_type: Type of demo account
Returns:
Cloning statistics
"""
logger.info(
"Starting data cloning",
session_id=session_id,
base_demo_tenant_id=base_demo_tenant_id,
virtual_tenant_id=virtual_tenant_id
)
stats = {
"session_id": session_id,
"services_cloned": [],
"total_records": 0,
"redis_keys": 0
}
# Clone data from each service based on demo account type
services_to_clone = self._get_services_for_demo_type(demo_account_type)
for service_name in services_to_clone:
try:
service_stats = await self._clone_service_data(
service_name,
base_demo_tenant_id,
virtual_tenant_id,
session_id,
demo_account_type
)
stats["services_cloned"].append(service_name)
stats["total_records"] += service_stats.get("records_cloned", 0)
except Exception as e:
logger.error(
"Failed to clone service data",
service=service_name,
error=str(e)
)
# Populate Redis cache with hot data
redis_stats = await self._populate_redis_cache(
session_id,
virtual_tenant_id,
demo_account_type
)
stats["redis_keys"] = redis_stats.get("keys_created", 0)
logger.info(
"Data cloning completed",
session_id=session_id,
stats=stats
)
return stats
def _get_services_for_demo_type(self, demo_account_type: str) -> List[str]:
"""Get list of services to clone based on demo type"""
base_services = ["inventory", "sales", "orders", "pos"]
if demo_account_type == "professional":
# Professional has production, recipes, suppliers, and procurement
return base_services + ["recipes", "production", "suppliers", "procurement", "alert_processor"]
elif demo_account_type == "enterprise":
# Enterprise has suppliers, procurement, and distribution (for parent-child network)
return base_services + ["suppliers", "procurement", "distribution", "alert_processor"]
else:
# Basic tenant has suppliers and procurement
return base_services + ["suppliers", "procurement", "distribution", "alert_processor"]
async def _clone_service_data(
self,
service_name: str,
base_tenant_id: str,
virtual_tenant_id: str,
session_id: str,
demo_account_type: str
) -> Dict[str, Any]:
"""
Clone data for a specific service
Args:
service_name: Name of the service
base_tenant_id: Source tenant ID
virtual_tenant_id: Target tenant ID
session_id: Session ID
demo_account_type: Type of demo account
Returns:
Cloning statistics
"""
service_url = self._get_service_url(service_name)
# Get internal API key from settings
from app.core.config import settings
internal_api_key = settings.INTERNAL_API_KEY
async with httpx.AsyncClient(timeout=30.0) as client:
response = await client.post(
f"{service_url}/internal/demo/clone",
json={
"base_tenant_id": base_tenant_id,
"virtual_tenant_id": virtual_tenant_id,
"session_id": session_id,
"demo_account_type": demo_account_type
},
headers={"X-Internal-API-Key": internal_api_key}
)
response.raise_for_status()
return response.json()
async def _populate_redis_cache(
self,
session_id: str,
virtual_tenant_id: str,
demo_account_type: str
) -> Dict[str, Any]:
"""
Populate Redis with frequently accessed data
Args:
session_id: Session ID
virtual_tenant_id: Virtual tenant ID
demo_account_type: Demo account type
Returns:
Statistics about cached data
"""
logger.info("Populating Redis cache", session_id=session_id)
keys_created = 0
# Cache inventory data (hot data)
try:
inventory_data = await self._fetch_inventory_data(virtual_tenant_id)
await self.redis.set_session_data(
session_id,
"inventory",
inventory_data,
ttl=settings.REDIS_SESSION_TTL
)
keys_created += 1
except Exception as e:
logger.error("Failed to cache inventory", error=str(e))
# Cache POS data
try:
pos_data = await self._fetch_pos_data(virtual_tenant_id)
await self.redis.set_session_data(
session_id,
"pos",
pos_data,
ttl=settings.REDIS_SESSION_TTL
)
keys_created += 1
except Exception as e:
logger.error("Failed to cache POS data", error=str(e))
# Cache recent sales
try:
sales_data = await self._fetch_recent_sales(virtual_tenant_id)
await self.redis.set_session_data(
session_id,
"recent_sales",
sales_data,
ttl=settings.REDIS_SESSION_TTL
)
keys_created += 1
except Exception as e:
logger.error("Failed to cache sales", error=str(e))
return {"keys_created": keys_created}
async def _fetch_inventory_data(self, tenant_id: str) -> Dict[str, Any]:
"""Fetch inventory data for caching"""
async with httpx.AsyncClient(timeout=httpx.Timeout(15.0, connect_timeout=5.0)) as client:
response = await client.get(
f"{settings.INVENTORY_SERVICE_URL}/api/inventory/summary",
headers={"X-Tenant-Id": tenant_id}
)
return response.json()
async def _fetch_pos_data(self, tenant_id: str) -> Dict[str, Any]:
"""Fetch POS data for caching"""
async with httpx.AsyncClient(timeout=httpx.Timeout(15.0, connect_timeout=5.0)) as client:
response = await client.get(
f"{settings.POS_SERVICE_URL}/api/pos/current-session",
headers={"X-Tenant-Id": tenant_id}
)
return response.json()
async def _fetch_recent_sales(self, tenant_id: str) -> Dict[str, Any]:
"""Fetch recent sales for caching"""
async with httpx.AsyncClient() as client:
response = await client.get(
f"{settings.SALES_SERVICE_URL}/api/sales/recent?limit=50",
headers={"X-Tenant-Id": tenant_id}
)
return response.json()
def _get_service_url(self, service_name: str) -> str:
"""Get service URL from settings"""
url_map = {
"inventory": settings.INVENTORY_SERVICE_URL,
"recipes": settings.RECIPES_SERVICE_URL,
"sales": settings.SALES_SERVICE_URL,
"orders": settings.ORDERS_SERVICE_URL,
"production": settings.PRODUCTION_SERVICE_URL,
"suppliers": settings.SUPPLIERS_SERVICE_URL,
"pos": settings.POS_SERVICE_URL,
"procurement": settings.PROCUREMENT_SERVICE_URL,
"distribution": settings.DISTRIBUTION_SERVICE_URL,
"forecasting": settings.FORECASTING_SERVICE_URL,
"alert_processor": settings.ALERT_PROCESSOR_SERVICE_URL,
}
return url_map.get(service_name, "")
async def delete_session_data(
self,
virtual_tenant_id: str,
session_id: str
):
"""
Delete all data for a session using parallel deletion for performance
Args:
virtual_tenant_id: Virtual tenant ID to delete
session_id: Session ID
"""
logger.info(
"Deleting session data",
virtual_tenant_id=virtual_tenant_id,
session_id=session_id
)
# Get shared HTTP client for all deletions
client = await self.get_http_client()
# Services list - all can be deleted in parallel as deletion endpoints
# handle their own internal ordering if needed
services = [
"forecasting",
"sales",
"orders",
"production",
"inventory",
"recipes",
"suppliers",
"pos",
"distribution",
"procurement",
"alert_processor"
]
# Create deletion tasks for all services
deletion_tasks = [
self._delete_service_data(service_name, virtual_tenant_id, client)
for service_name in services
]
# Execute all deletions in parallel with exception handling
results = await asyncio.gather(*deletion_tasks, return_exceptions=True)
# Log any failures
for service_name, result in zip(services, results):
if isinstance(result, Exception):
logger.error(
"Failed to delete service data",
service=service_name,
error=str(result)
)
# Delete from Redis
await self.redis.delete_session_data(session_id)
logger.info("Session data deleted", virtual_tenant_id=virtual_tenant_id)
async def _delete_service_data(
self,
service_name: str,
virtual_tenant_id: str,
client: httpx.AsyncClient
):
"""Delete data from a specific service using provided HTTP client"""
service_url = self._get_service_url(service_name)
# Get internal API key from settings
from app.core.config import settings
internal_api_key = settings.INTERNAL_API_KEY
await client.delete(
f"{service_url}/internal/demo/tenant/{virtual_tenant_id}",
headers={"X-Internal-API-Key": internal_api_key}
)

216
services/demo_session/app/services/session_manager.py
View File

@@ -75,18 +75,11 @@ class DemoSessionManager:
base_tenant_id = uuid.UUID(base_tenant_id_str)
# Validate that the base tenant ID exists in the tenant service
# This is important to prevent cloning from non-existent base tenants
await self._validate_base_tenant_exists(base_tenant_id, demo_account_type)
# Handle enterprise chain setup
child_tenant_ids = []
if demo_account_type == 'enterprise':
# Validate child template tenants exist before proceeding
child_configs = demo_config.get('children', [])
await self._validate_child_template_tenants(child_configs)
# Generate child tenant IDs for enterprise demos
child_configs = demo_config.get('children', [])
child_tenant_ids = [uuid.uuid4() for _ in child_configs]
# Create session record using repository
@@ -208,9 +201,7 @@ class DemoSessionManager:
async def destroy_session(self, session_id: str):
"""
Destroy a demo session and cleanup resources
Args:
session_id: Session ID to destroy
This triggers parallel deletion across all services.
"""
session = await self.get_session(session_id)
@@ -218,8 +209,30 @@ class DemoSessionManager:
logger.warning("Session not found for destruction", session_id=session_id)
return
# Update session status via repository
await self.repository.destroy(session_id)
# Update status to DESTROYING
await self.repository.update_fields(
session_id,
status=DemoSessionStatus.DESTROYING
)
# Trigger cleanup across all services
cleanup_service = DemoCleanupService(self.db, self.redis)
result = await cleanup_service.cleanup_session(session)
if result["success"]:
# Update status to DESTROYED
await self.repository.update_fields(
session_id,
status=DemoSessionStatus.DESTROYED,
destroyed_at=datetime.now(timezone.utc)
)
else:
# Update status to FAILED with error details
await self.repository.update_fields(
session_id,
status=DemoSessionStatus.FAILED,
error_details=result["errors"]
)
# Delete Redis data
await self.redis.delete_session_data(session_id)
@@ -227,9 +240,34 @@ class DemoSessionManager:
logger.info(
"Session destroyed",
session_id=session_id,
virtual_tenant_id=str(session.virtual_tenant_id)
virtual_tenant_id=str(session.virtual_tenant_id),
total_records_deleted=result.get("total_deleted", 0),
duration_ms=result.get("duration_ms", 0)
)
async def _check_database_disk_space(self):
"""Check if database has sufficient disk space for demo operations"""
try:
# Execute a simple query to check database health and disk space
# This is a basic check - in production you might want more comprehensive monitoring
from sqlalchemy import text
# Check if we can execute a simple query (indicates basic database health)
result = await self.db.execute(text("SELECT 1"))
# Get the scalar result properly
scalar_result = result.scalar_one_or_none()
# For more comprehensive checking, you could add:
# 1. Check table sizes
# 2. Check available disk space via system queries (if permissions allow)
# 3. Check for long-running transactions that might block operations
logger.debug("Database health check passed", result=scalar_result)
except Exception as e:
logger.error("Database health check failed", error=str(e), exc_info=True)
raise RuntimeError(f"Database health check failed: {str(e)}")
async def _store_session_metadata(self, session: DemoSession):
"""Store session metadata in Redis"""
await self.redis.set_session_data(
@@ -274,6 +312,33 @@ class DemoSessionManager:
virtual_tenant_id=str(session.virtual_tenant_id)
)
# Check database disk space before starting cloning
try:
await self._check_database_disk_space()
except Exception as e:
logger.error(
"Database disk space check failed",
session_id=session.session_id,
error=str(e)
)
# Mark session as failed due to infrastructure issue
session.status = DemoSessionStatus.FAILED
session.cloning_completed_at = datetime.now(timezone.utc)
session.total_records_cloned = 0
session.cloning_progress = {
"error": "Database disk space issue detected",
"details": str(e)
}
await self.repository.update(session)
await self._cache_session_status(session)
return {
"overall_status": "failed",
"services": {},
"total_records": 0,
"failed_services": ["database"],
"error": "Database disk space issue"
}
# Mark cloning as started and update both database and Redis cache
session.cloning_started_at = datetime.now(timezone.utc)
await self.repository.update(session)
@@ -295,130 +360,7 @@ class DemoSessionManager:
return result
async def _validate_base_tenant_exists(self, base_tenant_id: uuid.UUID, demo_account_type: str) -> bool:
"""
Validate that the base tenant exists in the tenant service before starting cloning.
This prevents cloning from non-existent base tenants.
Args:
base_tenant_id: The UUID of the base tenant to validate
demo_account_type: The demo account type for logging
Returns:
True if tenant exists, raises exception otherwise
"""
logger.info(
"Validating base tenant exists before cloning",
base_tenant_id=str(base_tenant_id),
demo_account_type=demo_account_type
)
# Basic validation: check if UUID is valid (not empty/nil)
if str(base_tenant_id) == "00000000-0000-0000-0000-000000000000":
raise ValueError(f"Invalid base tenant ID: {base_tenant_id} for demo type: {demo_account_type}")
# BUG-008 FIX: Actually validate with tenant service
try:
from shared.clients.tenant_client import TenantServiceClient
tenant_client = TenantServiceClient(settings)
tenant = await tenant_client.get_tenant(str(base_tenant_id))
if not tenant:
error_msg = (
f"Base tenant {base_tenant_id} does not exist for demo type {demo_account_type}. "
f"Please verify the base_tenant_id in demo configuration."
)
logger.error(
"Base tenant validation failed",
base_tenant_id=str(base_tenant_id),
demo_account_type=demo_account_type
)
raise ValueError(error_msg)
logger.info(
"Base tenant validation passed",
base_tenant_id=str(base_tenant_id),
tenant_name=tenant.get("name", "unknown"),
demo_account_type=demo_account_type
)
return True
except ValueError:
# Re-raise ValueError from validation failure
raise
except Exception as e:
logger.error(
f"Error validating base tenant: {e}",
base_tenant_id=str(base_tenant_id),
demo_account_type=demo_account_type,
exc_info=True
)
raise ValueError(f"Cannot validate base tenant {base_tenant_id}: {str(e)}")
async def _validate_child_template_tenants(self, child_configs: list) -> bool:
"""
Validate that all child template tenants exist before cloning.
This prevents silent failures when child base tenants are missing.
Args:
child_configs: List of child configurations with base_tenant_id
Returns:
True if all child templates exist, raises exception otherwise
"""
if not child_configs:
logger.warning("No child configurations provided for validation")
return True
logger.info("Validating child template tenants", child_count=len(child_configs))
try:
from shared.clients.tenant_client import TenantServiceClient
tenant_client = TenantServiceClient(settings)
for child_config in child_configs:
child_base_id = child_config.get("base_tenant_id")
child_name = child_config.get("name", "unknown")
if not child_base_id:
raise ValueError(f"Child config missing base_tenant_id: {child_name}")
# Validate child template exists
child_tenant = await tenant_client.get_tenant(child_base_id)
if not child_tenant:
error_msg = (
f"Child template tenant {child_base_id} ('{child_name}') does not exist. "
f"Please verify the base_tenant_id in demo configuration."
)
logger.error(
"Child template validation failed",
base_tenant_id=child_base_id,
child_name=child_name
)
raise ValueError(error_msg)
logger.info(
"Child template validation passed",
base_tenant_id=child_base_id,
child_name=child_name,
tenant_name=child_tenant.get("name", "unknown")
)
logger.info("All child template tenants validated successfully")
return True
except ValueError:
# Re-raise ValueError from validation failure
raise
except Exception as e:
logger.error(
f"Error validating child template tenants: {e}",
exc_info=True
)
raise ValueError(f"Cannot validate child template tenants: {str(e)}")
async def _update_session_from_clone_result(
self,

382
services/distribution/app/api/internal_demo.py
View File

@@ -1,382 +0,0 @@
"""
Internal Demo API for Distribution Service
Handles internal demo setup for enterprise tier
"""
from fastapi import APIRouter, Depends, HTTPException, Header
from typing import Dict, Any, List, Optional
import structlog
from datetime import datetime
import uuid
import json
import time
from app.services.distribution_service import DistributionService
from app.api.dependencies import get_distribution_service
from app.core.config import settings
logger = structlog.get_logger()
router = APIRouter()
async def verify_internal_api_key(x_internal_api_key: str = Header(None)):
"""Verify internal API key for service-to-service communication"""
required_key = settings.INTERNAL_API_KEY
if x_internal_api_key != required_key:
logger.warning("Unauthorized internal API access attempted")
raise HTTPException(status_code=403, detail="Invalid internal API key")
return True
# Legacy /internal/demo/setup and /internal/demo/cleanup endpoints removed
# Distribution now uses the standard /internal/demo/clone pattern like all other services
# Data is cloned from base template tenants via DataCloner
@router.get("/internal/health")
async def internal_health_check(
_: bool = Depends(verify_internal_api_key)
):
"""
Internal health check endpoint
"""
return {
"service": "distribution-service",
"endpoint": "internal-demo",
"status": "healthy",
"timestamp": datetime.utcnow().isoformat()
}
@router.post("/internal/demo/clone")
async def clone_demo_data(
base_tenant_id: str,
virtual_tenant_id: str,
demo_account_type: str,
session_id: Optional[str] = None,
session_created_at: Optional[str] = None,
session_metadata: Optional[str] = None,
distribution_service: DistributionService = Depends(get_distribution_service),
_: bool = Depends(verify_internal_api_key)
):
"""
Clone distribution data from base tenant to virtual tenant
This follows the standard cloning pattern used by other services:
1. Query base tenant data (routes, shipments, schedules)
2. Clone to virtual tenant with ID substitution and date adjustment
3. Return records cloned count
Args:
base_tenant_id: Template tenant UUID to clone from
virtual_tenant_id: Target virtual tenant UUID
demo_account_type: Type of demo account
session_id: Originating session ID for tracing
session_created_at: ISO timestamp when demo session was created (for date adjustment)
"""
try:
if not all([base_tenant_id, virtual_tenant_id, session_id]):
raise HTTPException(
status_code=400,
detail="Missing required parameters: base_tenant_id, virtual_tenant_id, session_id"
)
logger.info("Cloning distribution data from base tenant",
base_tenant_id=base_tenant_id,
virtual_tenant_id=virtual_tenant_id,
session_id=session_id)
# Clean up any existing demo data for this virtual tenant to prevent conflicts
logger.info("Cleaning up existing demo data for virtual tenant", virtual_tenant_id=virtual_tenant_id)
deleted_routes = await distribution_service.route_repository.delete_demo_routes_for_tenant(virtual_tenant_id)
deleted_shipments = await distribution_service.shipment_repository.delete_demo_shipments_for_tenant(virtual_tenant_id)
if deleted_routes > 0 or deleted_shipments > 0:
logger.info("Cleaned up existing demo data",
virtual_tenant_id=virtual_tenant_id,
deleted_routes=deleted_routes,
deleted_shipments=deleted_shipments)
# Generate a single timestamp suffix for this cloning operation to ensure uniqueness
timestamp_suffix = str(int(time.time()))[-6:] # Last 6 digits of timestamp
# Parse session creation date for date adjustment
from datetime import date, datetime, timezone
from dateutil import parser as date_parser
from shared.utils.demo_dates import BASE_REFERENCE_DATE, adjust_date_for_demo
if session_created_at:
if isinstance(session_created_at, str):
session_dt = date_parser.parse(session_created_at)
else:
session_dt = session_created_at
else:
session_dt = datetime.now(timezone.utc)
# Parse session_metadata to extract child tenant mappings for enterprise demos
child_tenant_id_map = {}
if session_metadata:
try:
metadata_dict = json.loads(session_metadata)
child_configs = metadata_dict.get("child_configs", [])
child_tenant_ids = metadata_dict.get("child_tenant_ids", [])
# Build mapping: base_child_id -> virtual_child_id
for idx, child_config in enumerate(child_configs):
if idx < len(child_tenant_ids):
base_child_id = child_config.get("base_tenant_id")
virtual_child_id = child_tenant_ids[idx]
if base_child_id and virtual_child_id:
child_tenant_id_map[base_child_id] = virtual_child_id
logger.info(
"Built child tenant ID mapping for enterprise demo",
mapping_count=len(child_tenant_id_map),
session_id=session_id,
mappings=child_tenant_id_map
)
except Exception as e:
logger.warning("Failed to parse session_metadata", error=str(e), session_id=session_id)
# Clone delivery routes from base tenant
base_routes = await distribution_service.route_repository.get_all_routes_for_tenant(base_tenant_id)
routes_cloned = 0
route_id_map = {} # Map old route IDs to new route IDs
for base_route in base_routes:
# Adjust route_date relative to session creation
adjusted_route_date = adjust_date_for_demo(
base_route.get('route_date'),
session_dt,
BASE_REFERENCE_DATE
)
# Map child tenant IDs in route_sequence
route_sequence = base_route.get('route_sequence', [])
if child_tenant_id_map and route_sequence:
mapped_sequence = []
for stop in route_sequence:
if isinstance(stop, dict) and 'child_tenant_id' in stop:
base_child_id = str(stop['child_tenant_id'])
if base_child_id in child_tenant_id_map:
stop = {**stop, 'child_tenant_id': child_tenant_id_map[base_child_id]}
logger.debug(
"Mapped child_tenant_id in route_sequence",
base_child_id=base_child_id,
virtual_child_id=child_tenant_id_map[base_child_id],
session_id=session_id
)
mapped_sequence.append(stop)
route_sequence = mapped_sequence
# Generate unique route number for the virtual tenant to avoid duplicates
base_route_number = base_route.get('route_number')
if base_route_number and base_route_number.startswith('DEMO-'):
# For demo routes, append the virtual tenant ID to ensure uniqueness
# Use more characters from UUID and include a timestamp component to reduce collision risk
# Handle both string and UUID inputs for virtual_tenant_id
try:
tenant_uuid = uuid.UUID(virtual_tenant_id) if isinstance(virtual_tenant_id, str) else virtual_tenant_id
except (ValueError, TypeError):
# If it's already a UUID object, use it directly
tenant_uuid = virtual_tenant_id
# Use more characters to make it more unique
tenant_suffix = str(tenant_uuid).replace('-', '')[:16]
# Use the single timestamp suffix generated at the start of the operation
route_number = f"{base_route_number}-{tenant_suffix}-{timestamp_suffix}"
else:
# For non-demo routes, use original route number
route_number = base_route_number
new_route = await distribution_service.route_repository.create_route({
'tenant_id': uuid.UUID(virtual_tenant_id),
'route_number': route_number,
'route_date': adjusted_route_date,
'vehicle_id': base_route.get('vehicle_id'),
'driver_id': base_route.get('driver_id'),
'total_distance_km': base_route.get('total_distance_km'),
'estimated_duration_minutes': base_route.get('estimated_duration_minutes'),
'route_sequence': route_sequence,
'status': base_route.get('status')
})
routes_cloned += 1
# Map old route ID to the new route ID returned by the repository
route_id_map[base_route.get('id')] = new_route['id']
# Clone shipments from base tenant
base_shipments = await distribution_service.shipment_repository.get_all_shipments_for_tenant(base_tenant_id)
shipments_cloned = 0
for base_shipment in base_shipments:
# Adjust shipment_date relative to session creation
adjusted_shipment_date = adjust_date_for_demo(
base_shipment.get('shipment_date'),
session_dt,
BASE_REFERENCE_DATE
)
# Map delivery_route_id to new route ID
old_route_id = base_shipment.get('delivery_route_id')
new_route_id = route_id_map.get(old_route_id) if old_route_id else None
# Generate unique shipment number for the virtual tenant to avoid duplicates
base_shipment_number = base_shipment.get('shipment_number')
if base_shipment_number and base_shipment_number.startswith('DEMO'):
# For demo shipments, append the virtual tenant ID to ensure uniqueness
# Use more characters from UUID and include a timestamp component to reduce collision risk
# Handle both string and UUID inputs for virtual_tenant_id
try:
tenant_uuid = uuid.UUID(virtual_tenant_id) if isinstance(virtual_tenant_id, str) else virtual_tenant_id
except (ValueError, TypeError):
# If it's already a UUID object, use it directly
tenant_uuid = virtual_tenant_id
# Use more characters to make it more unique
tenant_suffix = str(tenant_uuid).replace('-', '')[:16]
# Use the single timestamp suffix generated at the start of the operation
shipment_number = f"{base_shipment_number}-{tenant_suffix}-{timestamp_suffix}"
else:
# For non-demo shipments, use original shipment number
shipment_number = base_shipment_number
# Map child_tenant_id to virtual child ID (THE KEY FIX)
base_child_id = base_shipment.get('child_tenant_id')
virtual_child_id = None
if base_child_id:
base_child_id_str = str(base_child_id)
if child_tenant_id_map and base_child_id_str in child_tenant_id_map:
virtual_child_id = uuid.UUID(child_tenant_id_map[base_child_id_str])
logger.debug(
"Mapped child tenant ID for shipment",
base_child_id=base_child_id_str,
virtual_child_id=str(virtual_child_id),
shipment_number=shipment_number,
session_id=session_id
)
else:
virtual_child_id = base_child_id # Fallback to original
else:
virtual_child_id = None
new_shipment = await distribution_service.shipment_repository.create_shipment({
'id': uuid.uuid4(),
'tenant_id': uuid.UUID(virtual_tenant_id),
'parent_tenant_id': uuid.UUID(virtual_tenant_id),
'child_tenant_id': virtual_child_id, # Mapped child tenant ID
'delivery_route_id': new_route_id,
'shipment_number': shipment_number,
'shipment_date': adjusted_shipment_date,
'status': base_shipment.get('status'),
'total_weight_kg': base_shipment.get('total_weight_kg'),
'total_volume_m3': base_shipment.get('total_volume_m3'),
'delivery_notes': base_shipment.get('delivery_notes')
})
shipments_cloned += 1
# Clone delivery schedules from base tenant
base_schedules = await distribution_service.schedule_repository.get_schedules_by_tenant(base_tenant_id)
schedules_cloned = 0
for base_schedule in base_schedules:
# Map child_tenant_id to virtual child ID
base_child_id = base_schedule.get('child_tenant_id')
virtual_child_id = None
if base_child_id:
base_child_id_str = str(base_child_id)
if child_tenant_id_map and base_child_id_str in child_tenant_id_map:
virtual_child_id = uuid.UUID(child_tenant_id_map[base_child_id_str])
logger.debug(
"Mapped child tenant ID for delivery schedule",
base_child_id=base_child_id_str,
virtual_child_id=str(virtual_child_id),
session_id=session_id
)
else:
virtual_child_id = base_child_id # Fallback to original
else:
virtual_child_id = None
new_schedule = await distribution_service.schedule_repository.create_schedule({
'id': uuid.uuid4(),
'parent_tenant_id': uuid.UUID(virtual_tenant_id),
'child_tenant_id': virtual_child_id, # Mapped child tenant ID
'schedule_name': base_schedule.get('schedule_name'),
'delivery_days': base_schedule.get('delivery_days'),
'delivery_time': base_schedule.get('delivery_time'),
'auto_generate_orders': base_schedule.get('auto_generate_orders'),
'lead_time_days': base_schedule.get('lead_time_days'),
'is_active': base_schedule.get('is_active')
})
schedules_cloned += 1
total_records = routes_cloned + shipments_cloned + schedules_cloned
logger.info(
"Distribution cloning completed successfully",
session_id=session_id,
routes_cloned=routes_cloned,
shipments_cloned=shipments_cloned,
schedules_cloned=schedules_cloned,
total_records=total_records,
child_mappings_applied=len(child_tenant_id_map),
is_enterprise=len(child_tenant_id_map) > 0
)
return {
"service": "distribution",
"status": "completed",
"records_cloned": total_records,
"routes_cloned": routes_cloned,
"shipments_cloned": shipments_cloned,
"schedules_cloned": schedules_cloned
}
except Exception as e:
logger.error(f"Error cloning distribution data: {e}", exc_info=True)
# Don't fail the entire cloning process if distribution fails, but add more context
error_msg = f"Distribution cloning failed: {str(e)}"
logger.warning(f"Distribution cloning partially failed but continuing: {error_msg}")
return {
"service": "distribution",
"status": "failed",
"error": error_msg,
"records_cloned": 0,
"routes_cloned": 0,
"shipments_cloned": 0,
"schedules_cloned": 0
}
@router.delete("/internal/demo/tenant/{virtual_tenant_id}")
async def delete_demo_data(
virtual_tenant_id: str,
distribution_service: DistributionService = Depends(get_distribution_service),
_: bool = Depends(verify_internal_api_key)
):
"""Delete all distribution data for a virtual demo tenant"""
try:
logger.info("Deleting distribution data", virtual_tenant_id=virtual_tenant_id)
# Reuse existing cleanup logic
deleted_routes = await distribution_service.route_repository.delete_demo_routes_for_tenant(
tenant_id=virtual_tenant_id
)
deleted_shipments = await distribution_service.shipment_repository.delete_demo_shipments_for_tenant(
tenant_id=virtual_tenant_id
)
return {
"service": "distribution",
"status": "deleted",
"virtual_tenant_id": virtual_tenant_id,
"records_deleted": {
"routes": deleted_routes,
"shipments": deleted_shipments
}
}
except Exception as e:
logger.error(f"Error deleting distribution data: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=str(e))

4
services/distribution/app/main.py
View File

@@ -8,7 +8,7 @@ from app.core.config import settings
from app.core.database import database_manager
from app.api.routes import router as distribution_router
from app.api.shipments import router as shipments_router
from app.api.internal_demo import router as internal_demo_router
# from app.api.internal_demo import router as internal_demo_router # REMOVED: Replaced by script-based seed data loading
from shared.service_base import StandardFastAPIService
@@ -122,4 +122,4 @@ service.setup_standard_endpoints()
# Note: Routes now use RouteBuilder which includes full paths, so no prefix needed
service.add_router(distribution_router, tags=["distribution"])
service.add_router(shipments_router, tags=["shipments"])
service.add_router(internal_demo_router, tags=["internal-demo"])
# service.add_router(internal_demo_router, tags=["internal-demo"]) # REMOVED: Replaced by script-based seed data loading

300
services/distribution/scripts/demo/seed_demo_distribution_history.py
View File

@@ -1,300 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Demo Distribution History Seeding Script for Distribution Service
Creates 30 days of historical delivery routes and shipments for enterprise demo
This is the CRITICAL missing piece that connects parent (Obrador) to children (retail outlets).
It populates the template with realistic VRP-optimized delivery routes.
Usage:
python /app/scripts/demo/seed_demo_distribution_history.py
Environment Variables Required:
DISTRIBUTION_DATABASE_URL - PostgreSQL connection string
DEMO_MODE - Set to 'production' for production seeding
"""
import asyncio
import uuid
import sys
import os
import random
from datetime import datetime, timezone, timedelta
from pathlib import Path
from decimal import Decimal
# Add app to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
# Add shared to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent))
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import select
import structlog
from shared.utils.demo_dates import BASE_REFERENCE_DATE
from app.models import DeliveryRoute, Shipment, DeliveryRouteStatus, ShipmentStatus
structlog.configure(
processors=[
structlog.stdlib.add_log_level,
structlog.processors.TimeStamper(fmt="iso"),
structlog.dev.ConsoleRenderer()
]
)
logger = structlog.get_logger()
# Fixed Demo Tenant IDs
DEMO_TENANT_ENTERPRISE_CHAIN = uuid.UUID("c3d4e5f6-a7b8-49c0-d1e2-f3a4b5c6d7e8") # Parent (Obrador)
DEMO_TENANT_CHILD_1 = uuid.UUID("d4e5f6a7-b8c9-40d1-e2f3-a4b5c6d7e8f9") # Madrid Centro
DEMO_TENANT_CHILD_2 = uuid.UUID("e5f6a7b8-c9d0-41e2-f3a4-b5c6d7e8f9a0") # Barcelona Gràcia
DEMO_TENANT_CHILD_3 = uuid.UUID("f6a7b8c9-d0e1-42f3-a4b5-c6d7e8f9a0b1") # Valencia Ruzafa
CHILD_TENANTS = [
(DEMO_TENANT_CHILD_1, "Madrid Centro", 150.0),
(DEMO_TENANT_CHILD_2, "Barcelona Gràcia", 120.0),
(DEMO_TENANT_CHILD_3, "Valencia Ruzafa", 100.0)
]
# Delivery schedule: Mon/Wed/Fri (as per distribution service)
DELIVERY_WEEKDAYS = [0, 2, 4] # Monday, Wednesday, Friday
async def seed_distribution_history(db: AsyncSession):
"""
Seed 30 days of distribution data (routes + shipments) centered around BASE_REFERENCE_DATE
Creates delivery routes for Mon/Wed/Fri pattern spanning from 15 days before to 15 days after BASE_REFERENCE_DATE.
This ensures data exists for today when BASE_REFERENCE_DATE is set to the current date.
"""
logger.info("=" * 80)
logger.info("🚚 Starting Demo Distribution History Seeding")
logger.info("=" * 80)
logger.info(f"Parent Tenant: {DEMO_TENANT_ENTERPRISE_CHAIN} (Obrador Madrid)")
logger.info(f"Child Tenants: {len(CHILD_TENANTS)}")
logger.info(f"Delivery Pattern: Mon/Wed/Fri (3x per week)")
logger.info(f"Date Range: {(BASE_REFERENCE_DATE - timedelta(days=15)).strftime('%Y-%m-%d')} to {(BASE_REFERENCE_DATE + timedelta(days=15)).strftime('%Y-%m-%d')}")
logger.info(f"Reference Date (today): {BASE_REFERENCE_DATE.strftime('%Y-%m-%d')}")
logger.info("")
routes_created = 0
shipments_created = 0
# Generate 30 days of routes centered around BASE_REFERENCE_DATE (-15 to +15 days)
# This ensures we have past data, current data, and future data
# Range is inclusive of start, exclusive of end, so -15 to 16 gives -15..15
for days_offset in range(-15, 16): # -15 to +15 = 31 days total
delivery_date = BASE_REFERENCE_DATE + timedelta(days=days_offset)
# Only create routes for Mon/Wed/Fri
if delivery_date.weekday() not in DELIVERY_WEEKDAYS:
continue
# Check if route already exists
result = await db.execute(
select(DeliveryRoute).where(
DeliveryRoute.tenant_id == DEMO_TENANT_ENTERPRISE_CHAIN,
DeliveryRoute.route_date == delivery_date
).limit(1)
)
existing_route = result.scalar_one_or_none()
if existing_route:
logger.debug(f"Route already exists for {delivery_date.strftime('%Y-%m-%d')}, skipping")
continue
# Create delivery route
route_number = f"DEMO-{delivery_date.strftime('%Y%m%d')}-001"
# Realistic VRP metrics for 3-stop route
# Distance: Madrid Centro (closest) + Barcelona Gràcia (medium) + Valencia Ruzafa (farthest)
total_distance_km = random.uniform(75.0, 95.0) # Realistic for 3 retail outlets in region
estimated_duration_minutes = random.randint(180, 240) # 3-4 hours for 3 stops
# Route sequence (order of deliveries) with full GPS coordinates for map display
# Determine status based on date
is_past = delivery_date < BASE_REFERENCE_DATE
point_status = "delivered" if is_past else "pending"
route_sequence = [
{
"tenant_id": str(DEMO_TENANT_CHILD_1),
"name": "Madrid Centro",
"address": "Calle Gran Vía 28, 28013 Madrid, Spain",
"latitude": 40.4168,
"longitude": -3.7038,
"status": point_status,
"id": str(uuid.uuid4()),
"sequence": 1
},
{
"tenant_id": str(DEMO_TENANT_CHILD_2),
"name": "Barcelona Gràcia",
"address": "Carrer Gran de Gràcia 15, 08012 Barcelona, Spain",
"latitude": 41.4036,
"longitude": 2.1561,
"status": point_status,
"id": str(uuid.uuid4()),
"sequence": 2
},
{
"tenant_id": str(DEMO_TENANT_CHILD_3),
"name": "Valencia Ruzafa",
"address": "Carrer de Sueca 51, 46006 Valencia, Spain",
"latitude": 39.4647,
"longitude": -0.3679,
"status": point_status,
"id": str(uuid.uuid4()),
"sequence": 3
}
]
# Route status (already determined is_past above)
route_status = DeliveryRouteStatus.completed if is_past else DeliveryRouteStatus.planned
route = DeliveryRoute(
id=uuid.uuid4(),
tenant_id=DEMO_TENANT_ENTERPRISE_CHAIN,
route_number=route_number,
route_date=delivery_date,
total_distance_km=Decimal(str(round(total_distance_km, 2))),
estimated_duration_minutes=estimated_duration_minutes,
route_sequence=route_sequence,
status=route_status,
driver_id=uuid.uuid4(), # Use a random UUID for the driver_id
vehicle_id=f"VEH-{random.choice(['001', '002', '003'])}",
created_at=delivery_date - timedelta(days=1), # Routes created day before
updated_at=delivery_date,
created_by=uuid.uuid4(), # Add required audit field
updated_by=uuid.uuid4() # Add required audit field
)
db.add(route)
routes_created += 1
# Create shipments for each child tenant on this route
for child_tenant_id, child_name, avg_weight_kg in CHILD_TENANTS:
# Vary weight slightly
shipment_weight = avg_weight_kg * random.uniform(0.9, 1.1)
shipment_number = f"DEMOSHP-{delivery_date.strftime('%Y%m%d')}-{child_name.split()[0].upper()[:3]}"
# Determine shipment status based on date
shipment_status = ShipmentStatus.delivered if is_past else ShipmentStatus.pending
shipment = Shipment(
id=uuid.uuid4(),
tenant_id=DEMO_TENANT_ENTERPRISE_CHAIN,
parent_tenant_id=DEMO_TENANT_ENTERPRISE_CHAIN,
child_tenant_id=child_tenant_id,
shipment_number=shipment_number,
shipment_date=delivery_date,
status=shipment_status,
total_weight_kg=Decimal(str(round(shipment_weight, 2))),
delivery_route_id=route.id,
delivery_notes=f"Entrega regular a {child_name}",
created_at=delivery_date - timedelta(days=1),
updated_at=delivery_date,
created_by=uuid.uuid4(), # Add required audit field
updated_by=uuid.uuid4() # Add required audit field
)
db.add(shipment)
shipments_created += 1
logger.debug(
f" ✅ {delivery_date.strftime('%a %Y-%m-%d')}: "
f"Route {route_number} with {len(CHILD_TENANTS)} shipments"
)
# Commit all changes
await db.commit()
logger.info("")
logger.info("=" * 80)
logger.info("✅ Demo Distribution History Seeding Completed")
logger.info("=" * 80)
logger.info(f" 📊 Routes created: {routes_created}")
logger.info(f" 📦 Shipments created: {shipments_created}")
logger.info("")
logger.info("Distribution characteristics:")
logger.info(" ✓ 30 days of historical data")
logger.info(" ✓ Mon/Wed/Fri delivery schedule (3x per week)")
logger.info(" ✓ VRP-optimized route sequencing")
logger.info(" ✓ ~13 routes (30 days ÷ 7 days/week × 3 delivery days)")
logger.info(" ✓ ~39 shipments (13 routes × 3 children)")
logger.info(" ✓ Realistic distances and durations")
logger.info("")
return {
"service": "distribution",
"routes_created": routes_created,
"shipments_created": shipments_created
}
async def main():
"""Main execution function"""
logger.info("Demo Distribution History Seeding Script Starting")
logger.info("Mode: %s", os.getenv("DEMO_MODE", "development"))
# Get database URL from environment
database_url = os.getenv("DISTRIBUTION_DATABASE_URL") or os.getenv("DATABASE_URL")
if not database_url:
logger.error("❌ DISTRIBUTION_DATABASE_URL or DATABASE_URL environment variable must be set")
return 1
# Convert to async URL if needed
if database_url.startswith("postgresql://"):
database_url = database_url.replace("postgresql://", "postgresql+asyncpg://", 1)
logger.info("Connecting to distribution database")
# Create engine and session
engine = create_async_engine(
database_url,
echo=False,
pool_pre_ping=True,
pool_size=5,
max_overflow=10
)
async_session = sessionmaker(
engine,
class_=AsyncSession,
expire_on_commit=False
)
try:
async with async_session() as session:
result = await seed_distribution_history(session)
logger.info("🎉 Success! Distribution history is ready for cloning.")
logger.info("")
logger.info("Next steps:")
logger.info(" 1. Create Kubernetes job YAMLs for all child scripts")
logger.info(" 2. Update kustomization.yaml with proper execution order")
logger.info(" 3. Test enterprise demo end-to-end")
logger.info("")
return 0
except Exception as e:
logger.error("=" * 80)
logger.error("❌ Demo Distribution History Seeding Failed")
logger.error("=" * 80)
logger.error("Error: %s", str(e))
logger.error("", exc_info=True)
return 1
finally:
await engine.dispose()
if __name__ == "__main__":
exit_code = asyncio.run(main())
sys.exit(exit_code)

404
services/forecasting/app/api/internal_demo.py
View File

@@ -13,6 +13,7 @@ from typing import Optional
import os
import sys
from pathlib import Path
import json
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent))
from shared.utils.demo_dates import adjust_date_for_demo, BASE_REFERENCE_DATE
@@ -21,7 +22,7 @@ from app.core.database import get_db
from app.models.forecasts import Forecast, PredictionBatch
logger = structlog.get_logger()
router = APIRouter(prefix="/internal/demo", tags=["internal"])
router = APIRouter()
# Base demo tenant IDs
DEMO_TENANT_PROFESSIONAL = "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6"
@@ -36,7 +37,7 @@ def verify_internal_api_key(x_internal_api_key: Optional[str] = Header(None)):
return True
@router.post("/clone")
@router.post("/internal/demo/clone")
async def clone_demo_data(
base_tenant_id: str,
virtual_tenant_id: str,
@@ -49,144 +50,246 @@ async def clone_demo_data(
"""
Clone forecasting service data for a virtual demo tenant
Clones:
- Forecasts (historical predictions)
- Prediction batches (batch prediction records)
This endpoint creates fresh demo data by:
1. Loading seed data from JSON files
2. Applying XOR-based ID transformation
3. Adjusting dates relative to session creation time
4. Creating records in the virtual tenant
Args:
base_tenant_id: Template tenant UUID to clone from
base_tenant_id: Template tenant UUID (for reference)
virtual_tenant_id: Target virtual tenant UUID
demo_account_type: Type of demo account
session_id: Originating session ID for tracing
session_created_at: ISO timestamp when demo session was created (for date adjustment)
session_created_at: Session creation timestamp for date adjustment
db: Database session
Returns:
Cloning status and record counts
Dictionary with cloning results
Raises:
HTTPException: On validation or cloning errors
"""
start_time = datetime.now(timezone.utc)
# Parse session_created_at or fallback to now
if session_created_at:
try:
session_time = datetime.fromisoformat(session_created_at.replace('Z', '+00:00'))
except (ValueError, AttributeError) as e:
logger.warning(
"Invalid session_created_at format, using current time",
session_created_at=session_created_at,
error=str(e)
)
session_time = datetime.now(timezone.utc)
else:
logger.warning("session_created_at not provided, using current time")
session_time = datetime.now(timezone.utc)
logger.info(
"Starting forecasting data cloning",
base_tenant_id=base_tenant_id,
virtual_tenant_id=virtual_tenant_id,
demo_account_type=demo_account_type,
session_id=session_id,
session_time=session_time.isoformat()
)
try:
# Validate UUIDs
base_uuid = uuid.UUID(base_tenant_id)
virtual_uuid = uuid.UUID(virtual_tenant_id)
# Parse session creation time for date adjustment
if session_created_at:
try:
session_time = datetime.fromisoformat(session_created_at.replace('Z', '+00:00'))
except (ValueError, AttributeError):
session_time = start_time
else:
session_time = start_time
logger.info(
"Starting forecasting data cloning with date adjustment",
base_tenant_id=base_tenant_id,
virtual_tenant_id=str(virtual_uuid),
demo_account_type=demo_account_type,
session_id=session_id,
session_time=session_time.isoformat()
)
# Load seed data using shared utility
try:
from shared.utils.seed_data_paths import get_seed_data_path
if demo_account_type == "enterprise":
profile = "enterprise"
else:
profile = "professional"
json_file = get_seed_data_path(profile, "10-forecasting.json")
except ImportError:
# Fallback to original path
seed_data_dir = Path(__file__).parent.parent.parent.parent / "shared" / "demo" / "fixtures"
if demo_account_type == "enterprise":
json_file = seed_data_dir / "enterprise" / "parent" / "10-forecasting.json"
else:
json_file = seed_data_dir / "professional" / "10-forecasting.json"
if not json_file.exists():
raise HTTPException(
status_code=404,
detail=f"Seed data file not found: {json_file}"
)
# Load JSON data
with open(json_file, 'r', encoding='utf-8') as f:
seed_data = json.load(f)
# Check if data already exists for this virtual tenant (idempotency)
existing_check = await db.execute(
select(Forecast).where(Forecast.tenant_id == virtual_uuid).limit(1)
)
existing_forecast = existing_check.scalar_one_or_none()
if existing_forecast:
logger.warning(
"Demo data already exists, skipping clone",
virtual_tenant_id=str(virtual_uuid)
)
return {
"status": "skipped",
"reason": "Data already exists",
"records_cloned": 0
}
# Track cloning statistics
stats = {
"forecasts": 0,
"prediction_batches": 0
}
# Clone Forecasts
result = await db.execute(
select(Forecast).where(Forecast.tenant_id == base_uuid)
)
base_forecasts = result.scalars().all()
# Transform and insert forecasts
for forecast_data in seed_data.get('forecasts', []):
# Transform ID using XOR
from shared.utils.demo_id_transformer import transform_id
try:
forecast_uuid = uuid.UUID(forecast_data['id'])
tenant_uuid = uuid.UUID(virtual_tenant_id)
transformed_id = transform_id(forecast_data['id'], tenant_uuid)
except ValueError as e:
logger.error("Failed to parse UUIDs for ID transformation",
forecast_id=forecast_data['id'],
virtual_tenant_id=virtual_tenant_id,
error=str(e))
raise HTTPException(
status_code=400,
detail=f"Invalid UUID format in forecast data: {str(e)}"
)
logger.info(
"Found forecasts to clone",
count=len(base_forecasts),
base_tenant=str(base_uuid)
)
# Transform dates
for date_field in ['forecast_date', 'created_at']:
if date_field in forecast_data:
try:
date_value = forecast_data[date_field]
if isinstance(date_value, str):
original_date = datetime.fromisoformat(date_value)
elif hasattr(date_value, 'isoformat'):
original_date = date_value
else:
logger.warning("Skipping invalid date format",
date_field=date_field,
date_value=date_value)
continue
for forecast in base_forecasts:
adjusted_forecast_date = adjust_date_for_demo(
forecast.forecast_date,
session_time,
BASE_REFERENCE_DATE
) if forecast.forecast_date else None
adjusted_forecast_date = adjust_date_for_demo(
original_date,
session_time,
BASE_REFERENCE_DATE
)
forecast_data[date_field] = adjusted_forecast_date
except (ValueError, AttributeError) as e:
logger.warning("Failed to parse date, skipping",
date_field=date_field,
date_value=forecast_data[date_field],
error=str(e))
forecast_data.pop(date_field, None)
# Create forecast
# Map product_id to inventory_product_id if needed
inventory_product_id = forecast_data.get('inventory_product_id') or forecast_data.get('product_id')
# Map predicted_quantity to predicted_demand if needed
predicted_demand = forecast_data.get('predicted_demand') or forecast_data.get('predicted_quantity')
new_forecast = Forecast(
id=uuid.uuid4(),
id=transformed_id,
tenant_id=virtual_uuid,
inventory_product_id=forecast.inventory_product_id, # Keep product reference
product_name=forecast.product_name,
location=forecast.location,
forecast_date=adjusted_forecast_date,
created_at=session_time,
predicted_demand=forecast.predicted_demand,
confidence_lower=forecast.confidence_lower,
confidence_upper=forecast.confidence_upper,
confidence_level=forecast.confidence_level,
model_id=forecast.model_id,
model_version=forecast.model_version,
algorithm=forecast.algorithm,
business_type=forecast.business_type,
day_of_week=forecast.day_of_week,
is_holiday=forecast.is_holiday,
is_weekend=forecast.is_weekend,
weather_temperature=forecast.weather_temperature,
weather_precipitation=forecast.weather_precipitation,
weather_description=forecast.weather_description,
traffic_volume=forecast.traffic_volume,
processing_time_ms=forecast.processing_time_ms,
features_used=forecast.features_used
inventory_product_id=inventory_product_id,
product_name=forecast_data.get('product_name'),
location=forecast_data.get('location'),
forecast_date=forecast_data.get('forecast_date'),
created_at=forecast_data.get('created_at', session_time),
predicted_demand=predicted_demand,
confidence_lower=forecast_data.get('confidence_lower'),
confidence_upper=forecast_data.get('confidence_upper'),
confidence_level=forecast_data.get('confidence_level', 0.8),
model_id=forecast_data.get('model_id'),
model_version=forecast_data.get('model_version'),
algorithm=forecast_data.get('algorithm', 'prophet'),
business_type=forecast_data.get('business_type', 'individual'),
day_of_week=forecast_data.get('day_of_week'),
is_holiday=forecast_data.get('is_holiday', False),
is_weekend=forecast_data.get('is_weekend', False),
weather_temperature=forecast_data.get('weather_temperature'),
weather_precipitation=forecast_data.get('weather_precipitation'),
weather_description=forecast_data.get('weather_description'),
traffic_volume=forecast_data.get('traffic_volume'),
processing_time_ms=forecast_data.get('processing_time_ms'),
features_used=forecast_data.get('features_used')
)
db.add(new_forecast)
stats["forecasts"] += 1
# Clone Prediction Batches
result = await db.execute(
select(PredictionBatch).where(PredictionBatch.tenant_id == base_uuid)
)
base_batches = result.scalars().all()
# Transform and insert prediction batches
for batch_data in seed_data.get('prediction_batches', []):
# Transform ID using XOR
from shared.utils.demo_id_transformer import transform_id
try:
batch_uuid = uuid.UUID(batch_data['id'])
tenant_uuid = uuid.UUID(virtual_tenant_id)
transformed_id = transform_id(batch_data['id'], tenant_uuid)
except ValueError as e:
logger.error("Failed to parse UUIDs for ID transformation",
batch_id=batch_data['id'],
virtual_tenant_id=virtual_tenant_id,
error=str(e))
raise HTTPException(
status_code=400,
detail=f"Invalid UUID format in batch data: {str(e)}"
)
logger.info(
"Found prediction batches to clone",
count=len(base_batches),
base_tenant=str(base_uuid)
)
# Transform dates
for date_field in ['requested_at', 'completed_at']:
if date_field in batch_data:
try:
date_value = batch_data[date_field]
if isinstance(date_value, str):
original_date = datetime.fromisoformat(date_value)
elif hasattr(date_value, 'isoformat'):
original_date = date_value
else:
logger.warning("Skipping invalid date format",
date_field=date_field,
date_value=date_value)
continue
for batch in base_batches:
adjusted_requested_at = adjust_date_for_demo(
batch.requested_at,
session_time,
BASE_REFERENCE_DATE
) if batch.requested_at else None
adjusted_completed_at = adjust_date_for_demo(
batch.completed_at,
session_time,
BASE_REFERENCE_DATE
) if batch.completed_at else None
adjusted_batch_date = adjust_date_for_demo(
original_date,
session_time,
BASE_REFERENCE_DATE
)
batch_data[date_field] = adjusted_batch_date
except (ValueError, AttributeError) as e:
logger.warning("Failed to parse date, skipping",
date_field=date_field,
date_value=batch_data[date_field],
error=str(e))
batch_data.pop(date_field, None)
# Create prediction batch
new_batch = PredictionBatch(
id=uuid.uuid4(),
id=transformed_id,
tenant_id=virtual_uuid,
batch_name=batch.batch_name,
requested_at=adjusted_requested_at,
completed_at=adjusted_completed_at,
status=batch.status,
total_products=batch.total_products,
completed_products=batch.completed_products,
failed_products=batch.failed_products,
forecast_days=batch.forecast_days,
business_type=batch.business_type,
error_message=batch.error_message,
processing_time_ms=batch.processing_time_ms,
cancelled_by=batch.cancelled_by
batch_name=batch_data.get('batch_name'),
requested_at=batch_data.get('requested_at'),
completed_at=batch_data.get('completed_at'),
status=batch_data.get('status'),
total_products=batch_data.get('total_products'),
completed_products=batch_data.get('completed_products'),
failed_products=batch_data.get('failed_products'),
forecast_days=batch_data.get('forecast_days'),
business_type=batch_data.get('business_type'),
error_message=batch_data.get('error_message'),
processing_time_ms=batch_data.get('processing_time_ms'),
cancelled_by=batch_data.get('cancelled_by')
)
db.add(new_batch)
stats["prediction_batches"] += 1
@@ -198,11 +301,12 @@ async def clone_demo_data(
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
logger.info(
"Forecasting data cloning completed",
virtual_tenant_id=virtual_tenant_id,
total_records=total_records,
stats=stats,
duration_ms=duration_ms
"Forecasting data cloned successfully",
virtual_tenant_id=str(virtual_uuid),
records_cloned=total_records,
duration_ms=duration_ms,
forecasts_cloned=stats["forecasts"],
batches_cloned=stats["prediction_batches"]
)
return {
@@ -210,11 +314,15 @@ async def clone_demo_data(
"status": "completed",
"records_cloned": total_records,
"duration_ms": duration_ms,
"details": stats
"details": {
"forecasts": stats["forecasts"],
"prediction_batches": stats["prediction_batches"],
"virtual_tenant_id": str(virtual_uuid)
}
}
except ValueError as e:
logger.error("Invalid UUID format", error=str(e))
logger.error("Invalid UUID format", error=str(e), virtual_tenant_id=virtual_tenant_id)
raise HTTPException(status_code=400, detail=f"Invalid UUID: {str(e)}")
except Exception as e:
@@ -248,3 +356,73 @@ async def clone_health_check(_: bool = Depends(verify_internal_api_key)):
"clone_endpoint": "available",
"version": "2.0.0"
}
@router.delete("/tenant/{virtual_tenant_id}")
async def delete_demo_tenant_data(
virtual_tenant_id: uuid.UUID,
db: AsyncSession = Depends(get_db),
_: bool = Depends(verify_internal_api_key)
):
"""
Delete all demo data for a virtual tenant.
This endpoint is idempotent - safe to call multiple times.
"""
from sqlalchemy import delete
start_time = datetime.now(timezone.utc)
records_deleted = {
"forecasts": 0,
"prediction_batches": 0,
"total": 0
}
try:
# Delete in reverse dependency order
# 1. Delete prediction batches
result = await db.execute(
delete(PredictionBatch)
.where(PredictionBatch.tenant_id == virtual_tenant_id)
)
records_deleted["prediction_batches"] = result.rowcount
# 2. Delete forecasts
result = await db.execute(
delete(Forecast)
.where(Forecast.tenant_id == virtual_tenant_id)
)
records_deleted["forecasts"] = result.rowcount
records_deleted["total"] = sum(records_deleted.values())
await db.commit()
logger.info(
"demo_data_deleted",
service="forecasting",
virtual_tenant_id=str(virtual_tenant_id),
records_deleted=records_deleted
)
return {
"service": "forecasting",
"status": "deleted",
"virtual_tenant_id": str(virtual_tenant_id),
"records_deleted": records_deleted,
"duration_ms": int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
}
except Exception as e:
await db.rollback()
logger.error(
"demo_data_deletion_failed",
service="forecasting",
virtual_tenant_id=str(virtual_tenant_id),
error=str(e)
)
raise HTTPException(
status_code=500,
detail=f"Failed to delete demo data: {str(e)}"
)

4
services/forecasting/app/main.py
View File

@@ -14,7 +14,7 @@ from app.services.forecasting_alert_service import ForecastingAlertService
from shared.service_base import StandardFastAPIService
# Import API routers
from app.api import forecasts, forecasting_operations, analytics, scenario_operations, internal_demo, audit, ml_insights, validation, historical_validation, webhooks, performance_monitoring, retraining, enterprise_forecasting
from app.api import forecasts, forecasting_operations, analytics, scenario_operations, audit, ml_insights, validation, historical_validation, webhooks, performance_monitoring, retraining, enterprise_forecasting, internal_demo
class ForecastingService(StandardFastAPIService):
@@ -188,7 +188,7 @@ service.add_router(forecasts.router)
service.add_router(forecasting_operations.router)
service.add_router(analytics.router)
service.add_router(scenario_operations.router)
service.add_router(internal_demo.router)
service.add_router(internal_demo.router, tags=["internal-demo"])
service.add_router(ml_insights.router) # ML insights endpoint
service.add_router(validation.router) # Validation endpoint
service.add_router(historical_validation.router) # Historical validation endpoint

506
services/forecasting/scripts/demo/seed_demo_forecasts.py
View File

@@ -1,506 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Demo Forecasting Seeding Script for Forecasting Service
Creates demand forecasts and prediction batches for demo template tenants
This script runs as a Kubernetes init job inside the forecasting-service container.
"""
import asyncio
import uuid
import sys
import os
import json
import random
from datetime import datetime, timezone, timedelta
from pathlib import Path
# Add app to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import select
import structlog
from app.models.forecasts import Forecast, PredictionBatch
# Add shared path for demo utilities
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent))
from shared.utils.demo_dates import BASE_REFERENCE_DATE
# Configure logging
logger = structlog.get_logger()
DEMO_TENANT_PROFESSIONAL = uuid.UUID("a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6") # Individual bakery
# Day of week mapping
DAYS_OF_WEEK = {
0: "lunes",
1: "martes",
2: "miercoles",
3: "jueves",
4: "viernes",
5: "sabado",
6: "domingo"
}
def load_forecasting_config():
"""Load forecasting configuration from JSON file"""
config_file = Path(__file__).parent / "previsiones_config_es.json"
if not config_file.exists():
raise FileNotFoundError(f"Forecasting config file not found: {config_file}")
with open(config_file, 'r', encoding='utf-8') as f:
return json.load(f)
def calculate_datetime_from_offset(offset_days: int) -> datetime:
"""Calculate a datetime based on offset from BASE_REFERENCE_DATE"""
return BASE_REFERENCE_DATE + timedelta(days=offset_days)
def weighted_choice(choices: list) -> dict:
"""Make a weighted random choice from list of dicts with 'peso' key"""
total_weight = sum(c.get("peso", 1.0) for c in choices)
r = random.uniform(0, total_weight)
cumulative = 0
for choice in choices:
cumulative += choice.get("peso", 1.0)
if r <= cumulative:
return choice
return choices[-1]
def calculate_demand(
product: dict,
day_of_week: int,
is_weekend: bool,
weather_temp: float,
weather_precip: float,
traffic_volume: int,
config: dict
) -> float:
"""Calculate predicted demand based on various factors"""
# Base demand
base_demand = product["demanda_base_diaria"]
# Weekly trend factor
day_name = DAYS_OF_WEEK[day_of_week]
weekly_factor = product["tendencia_semanal"][day_name]
# Apply seasonality (simple growth factor for "creciente")
seasonality_factor = 1.0
if product["estacionalidad"] == "creciente":
seasonality_factor = 1.05
# Weather impact (simple model)
weather_factor = 1.0
temp_impact = config["configuracion_previsiones"]["factores_externos"]["temperatura"]["impacto_demanda"]
precip_impact = config["configuracion_previsiones"]["factores_externos"]["precipitacion"]["impacto_demanda"]
if weather_temp > 22.0:
weather_factor += temp_impact * (weather_temp - 22.0) / 10.0
if weather_precip > 0:
weather_factor += precip_impact
# Traffic correlation
traffic_correlation = config["configuracion_previsiones"]["factores_externos"]["volumen_trafico"]["correlacion_demanda"]
traffic_factor = 1.0 + (traffic_volume / 1000.0 - 1.0) * traffic_correlation
# Calculate predicted demand
predicted = base_demand * weekly_factor * seasonality_factor * weather_factor * traffic_factor
# Add randomness based on variability
variability = product["variabilidad"]
predicted = predicted * random.uniform(1.0 - variability, 1.0 + variability)
return max(0.0, predicted)
async def generate_forecasts_for_tenant(
db: AsyncSession,
tenant_id: uuid.UUID,
tenant_name: str,
business_type: str,
config: dict
):
"""Generate forecasts for a specific tenant"""
logger.info(f"Generating forecasts for: {tenant_name}", tenant_id=str(tenant_id))
# Check if forecasts already exist
result = await db.execute(
select(Forecast).where(Forecast.tenant_id == tenant_id).limit(1)
)
existing = result.scalar_one_or_none()
if existing:
logger.info(f"Forecasts already exist for {tenant_name}, skipping seed")
return {"tenant_id": str(tenant_id), "forecasts_created": 0, "batches_created": 0, "skipped": True}
forecast_config = config["configuracion_previsiones"]
batches_config = config["lotes_prediccion"]
# Get location for this business type
location = forecast_config["ubicaciones"][business_type]
# Get multiplier for central bakery
multiplier = forecast_config["multiplicador_central_bakery"] if business_type == "central_bakery" else 1.0
forecasts_created = 0
batches_created = 0
# Generate prediction batches first
num_batches = batches_config["lotes_por_tenant"]
for batch_idx in range(num_batches):
# Select batch status
status_rand = random.random()
cumulative = 0
batch_status = "completed"
for status, weight in batches_config["distribucion_estados"].items():
cumulative += weight
if status_rand <= cumulative:
batch_status = status
break
# Select forecast days
forecast_days = random.choice(batches_config["dias_prevision_lotes"])
# Create batch at different times in the past
requested_offset = -(batch_idx + 1) * 10 # Batches every 10 days in the past
requested_at = calculate_datetime_from_offset(requested_offset)
completed_at = None
processing_time = None
if batch_status == "completed":
processing_time = random.randint(5000, 25000) # 5-25 seconds
completed_at = requested_at + timedelta(milliseconds=processing_time)
batch = PredictionBatch(
id=uuid.uuid4(),
tenant_id=tenant_id,
batch_name=f"Previsión {forecast_days} días - {requested_at.strftime('%Y%m%d')}",
requested_at=requested_at,
completed_at=completed_at,
status=batch_status,
total_products=forecast_config["productos_por_tenant"],
completed_products=forecast_config["productos_por_tenant"] if batch_status == "completed" else 0,
failed_products=0 if batch_status != "failed" else random.randint(1, 3),
forecast_days=forecast_days,
business_type=business_type,
error_message="Error de conexión con servicio de clima" if batch_status == "failed" else None,
processing_time_ms=processing_time
)
db.add(batch)
batches_created += 1
await db.flush()
# Generate historical forecasts (past 30 days)
dias_historico = forecast_config["dias_historico"]
for product in forecast_config["productos_demo"]:
product_id = uuid.UUID(product["id"])
product_name = product["nombre"]
for day_offset in range(-dias_historico, 0):
forecast_date = calculate_datetime_from_offset(day_offset)
day_of_week = forecast_date.weekday()
is_weekend = day_of_week >= 5
# Generate weather data
weather_temp = random.uniform(
forecast_config["factores_externos"]["temperatura"]["min"],
forecast_config["factores_externos"]["temperatura"]["max"]
)
weather_precip = 0.0
if random.random() < forecast_config["factores_externos"]["precipitacion"]["probabilidad_lluvia"]:
weather_precip = random.uniform(0.5, forecast_config["factores_externos"]["precipitacion"]["mm_promedio"])
weather_descriptions = ["Despejado", "Parcialmente nublado", "Nublado", "Lluvia ligera", "Lluvia"]
weather_desc = random.choice(weather_descriptions)
# Traffic volume
traffic_volume = random.randint(
forecast_config["factores_externos"]["volumen_trafico"]["min"],
forecast_config["factores_externos"]["volumen_trafico"]["max"]
)
# Calculate demand
predicted_demand = calculate_demand(
product, day_of_week, is_weekend,
weather_temp, weather_precip, traffic_volume, config
)
# Apply multiplier for central bakery
predicted_demand *= multiplier
# Calculate confidence intervals
lower_pct = forecast_config["precision_modelo"]["intervalo_confianza_porcentaje"]["inferior"] / 100.0
upper_pct = forecast_config["precision_modelo"]["intervalo_confianza_porcentaje"]["superior"] / 100.0
confidence_lower = predicted_demand * (1.0 - lower_pct)
confidence_upper = predicted_demand * (1.0 + upper_pct)
# Select algorithm
algorithm_choice = weighted_choice(forecast_config["algoritmos"])
algorithm = algorithm_choice["algoritmo"]
# Processing time
processing_time = random.randint(
forecast_config["tiempo_procesamiento_ms"]["min"],
forecast_config["tiempo_procesamiento_ms"]["max"]
)
# Model info
model_version = f"v{random.randint(1, 3)}.{random.randint(0, 9)}"
model_id = f"{algorithm}_{business_type}_{model_version}"
# Create forecast
forecast = Forecast(
id=uuid.uuid4(),
tenant_id=tenant_id,
inventory_product_id=product_id,
product_name=product_name,
location=location,
forecast_date=forecast_date,
created_at=forecast_date - timedelta(days=1), # Created day before
predicted_demand=predicted_demand,
confidence_lower=confidence_lower,
confidence_upper=confidence_upper,
confidence_level=forecast_config["nivel_confianza"],
model_id=model_id,
model_version=model_version,
algorithm=algorithm,
business_type=business_type,
day_of_week=day_of_week,
is_holiday=False, # Could add holiday logic
is_weekend=is_weekend,
weather_temperature=weather_temp,
weather_precipitation=weather_precip,
weather_description=weather_desc,
traffic_volume=traffic_volume,
processing_time_ms=processing_time,
features_used={
"day_of_week": True,
"weather": True,
"traffic": True,
"historical_demand": True,
"seasonality": True
}
)
db.add(forecast)
forecasts_created += 1
# Generate future forecasts (next 14 days)
dias_futuro = forecast_config["dias_prevision_futuro"]
for product in forecast_config["productos_demo"]:
product_id = uuid.UUID(product["id"])
product_name = product["nombre"]
for day_offset in range(1, dias_futuro + 1):
forecast_date = calculate_datetime_from_offset(day_offset)
day_of_week = forecast_date.weekday()
is_weekend = day_of_week >= 5
# Generate weather forecast data (slightly less certain)
weather_temp = random.uniform(
forecast_config["factores_externos"]["temperatura"]["min"],
forecast_config["factores_externos"]["temperatura"]["max"]
)
weather_precip = 0.0
if random.random() < forecast_config["factores_externos"]["precipitacion"]["probabilidad_lluvia"]:
weather_precip = random.uniform(0.5, forecast_config["factores_externos"]["precipitacion"]["mm_promedio"])
weather_desc = random.choice(["Despejado", "Parcialmente nublado", "Nublado"])
traffic_volume = random.randint(
forecast_config["factores_externos"]["volumen_trafico"]["min"],
forecast_config["factores_externos"]["volumen_trafico"]["max"]
)
# Calculate demand
predicted_demand = calculate_demand(
product, day_of_week, is_weekend,
weather_temp, weather_precip, traffic_volume, config
)
predicted_demand *= multiplier
# Wider confidence intervals for future predictions
lower_pct = (forecast_config["precision_modelo"]["intervalo_confianza_porcentaje"]["inferior"] + 5.0) / 100.0
upper_pct = (forecast_config["precision_modelo"]["intervalo_confianza_porcentaje"]["superior"] + 5.0) / 100.0
confidence_lower = predicted_demand * (1.0 - lower_pct)
confidence_upper = predicted_demand * (1.0 + upper_pct)
algorithm_choice = weighted_choice(forecast_config["algoritmos"])
algorithm = algorithm_choice["algoritmo"]
processing_time = random.randint(
forecast_config["tiempo_procesamiento_ms"]["min"],
forecast_config["tiempo_procesamiento_ms"]["max"]
)
model_version = f"v{random.randint(1, 3)}.{random.randint(0, 9)}"
model_id = f"{algorithm}_{business_type}_{model_version}"
forecast = Forecast(
id=uuid.uuid4(),
tenant_id=tenant_id,
inventory_product_id=product_id,
product_name=product_name,
location=location,
forecast_date=forecast_date,
created_at=BASE_REFERENCE_DATE, # Created today
predicted_demand=predicted_demand,
confidence_lower=confidence_lower,
confidence_upper=confidence_upper,
confidence_level=forecast_config["nivel_confianza"],
model_id=model_id,
model_version=model_version,
algorithm=algorithm,
business_type=business_type,
day_of_week=day_of_week,
is_holiday=False,
is_weekend=is_weekend,
weather_temperature=weather_temp,
weather_precipitation=weather_precip,
weather_description=weather_desc,
traffic_volume=traffic_volume,
processing_time_ms=processing_time,
features_used={
"day_of_week": True,
"weather": True,
"traffic": True,
"historical_demand": True,
"seasonality": True
}
)
db.add(forecast)
forecasts_created += 1
await db.commit()
logger.info(f"Successfully created {forecasts_created} forecasts and {batches_created} batches for {tenant_name}")
return {
"tenant_id": str(tenant_id),
"forecasts_created": forecasts_created,
"batches_created": batches_created,
"skipped": False
}
async def seed_all(db: AsyncSession):
"""Seed all demo tenants with forecasting data"""
logger.info("Starting demo forecasting seed process")
# Load configuration
config = load_forecasting_config()
results = []
# Seed San Pablo (Individual Bakery)
# Seed Professional Bakery (merged from San Pablo + La Espiga)
result_professional = await generate_forecasts_for_tenant(
db,
DEMO_TENANT_PROFESSIONAL,
"Professional Bakery",
"individual_bakery",
config
)
results.append(result_professional)
total_forecasts = sum(r["forecasts_created"] for r in results)
total_batches = sum(r["batches_created"] for r in results)
return {
"results": results,
"total_forecasts_created": total_forecasts,
"total_batches_created": total_batches,
"status": "completed"
}
def validate_base_reference_date():
"""Ensure BASE_REFERENCE_DATE hasn't changed since last seed"""
expected_date = datetime(2025, 1, 8, 6, 0, 0, tzinfo=timezone.utc)
if BASE_REFERENCE_DATE != expected_date:
logger.warning(
"BASE_REFERENCE_DATE has changed! This may cause date inconsistencies.",
current=BASE_REFERENCE_DATE.isoformat(),
expected=expected_date.isoformat()
)
# Don't fail - just warn. Allow intentional changes.
logger.info("BASE_REFERENCE_DATE validation", date=BASE_REFERENCE_DATE.isoformat())
async def main():
"""Main execution function"""
validate_base_reference_date() # Add this line
# Get database URL from environment
database_url = os.getenv("FORECASTING_DATABASE_URL")
if not database_url:
logger.error("FORECASTING_DATABASE_URL environment variable must be set")
return 1
# Ensure asyncpg driver
if database_url.startswith("postgresql://"):
database_url = database_url.replace("postgresql://", "postgresql+asyncpg://", 1)
# Create async engine
engine = create_async_engine(database_url, echo=False)
async_session = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
try:
async with async_session() as session:
result = await seed_all(session)
logger.info(
"Forecasting seed completed successfully!",
total_forecasts=result["total_forecasts_created"],
total_batches=result["total_batches_created"],
status=result["status"]
)
# Print summary
print("\n" + "="*60)
print("DEMO FORECASTING SEED SUMMARY")
print("="*60)
for tenant_result in result["results"]:
tenant_id = tenant_result["tenant_id"]
forecasts = tenant_result["forecasts_created"]
batches = tenant_result["batches_created"]
skipped = tenant_result.get("skipped", False)
status = "SKIPPED (already exists)" if skipped else f"CREATED {forecasts} forecasts, {batches} batches"
print(f"Tenant {tenant_id}: {status}")
print(f"\nTotal Forecasts: {result['total_forecasts_created']}")
print(f"Total Batches: {result['total_batches_created']}")
print("="*60 + "\n")
return 0
except Exception as e:
logger.error(f"Forecasting seed failed: {str(e)}", exc_info=True)
return 1
finally:
await engine.dispose()
if __name__ == "__main__":
exit_code = asyncio.run(main())
sys.exit(exit_code)

167
services/forecasting/scripts/demo/seed_demo_forecasts_retail.py
View File

@@ -1,167 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Demo Retail Forecasting Seeding Script for Forecasting Service
Creates store-level demand forecasts for child retail outlets
This script populates child retail tenants with AI-generated demand forecasts.
Usage:
python /app/scripts/demo/seed_demo_forecasts_retail.py
Environment Variables Required:
FORECASTING_DATABASE_URL - PostgreSQL connection string
DEMO_MODE - Set to 'production' for production seeding
"""
import asyncio
import uuid
import sys
import os
import random
from datetime import datetime, timezone, timedelta
from pathlib import Path
from decimal import Decimal
# Add app to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
# Add shared to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent))
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import select
import structlog
from shared.utils.demo_dates import BASE_REFERENCE_DATE
from app.models import Forecast, PredictionBatch
structlog.configure(
processors=[
structlog.stdlib.add_log_level,
structlog.processors.TimeStamper(fmt="iso"),
structlog.dev.ConsoleRenderer()
]
)
logger = structlog.get_logger()
# Fixed Demo Tenant IDs
DEMO_TENANT_CHILD_1 = uuid.UUID("d4e5f6a7-b8c9-40d1-e2f3-a4b5c6d7e8f9") # Madrid Centro
DEMO_TENANT_CHILD_2 = uuid.UUID("e5f6a7b8-c9d0-41e2-f3a4-b5c6d7e8f9a0") # Barcelona Gràcia
DEMO_TENANT_CHILD_3 = uuid.UUID("f6a7b8c9-d0e1-42f3-a4b5-c6d7e8f9a0b1") # Valencia Ruzafa
# Product IDs
PRODUCT_IDS = {
"PRO-BAG-001": "20000000-0000-0000-0000-000000000001",
"PRO-CRO-001": "20000000-0000-0000-0000-000000000002",
"PRO-PUE-001": "20000000-0000-0000-0000-000000000003",
"PRO-NAP-001": "20000000-0000-0000-0000-000000000004",
}
# Retail forecasting patterns
RETAIL_FORECASTS = [
(DEMO_TENANT_CHILD_1, "Madrid Centro", {"PRO-BAG-001": 120, "PRO-CRO-001": 80, "PRO-PUE-001": 35, "PRO-NAP-001": 60}),
(DEMO_TENANT_CHILD_2, "Barcelona Gràcia", {"PRO-BAG-001": 90, "PRO-CRO-001": 60, "PRO-PUE-001": 25, "PRO-NAP-001": 45}),
(DEMO_TENANT_CHILD_3, "Valencia Ruzafa", {"PRO-BAG-001": 70, "PRO-CRO-001": 45, "PRO-PUE-001": 20, "PRO-NAP-001": 35})
]
async def seed_forecasts_for_retail_tenant(db: AsyncSession, tenant_id: uuid.UUID, tenant_name: str, base_forecasts: dict):
"""Seed forecasts for a retail tenant"""
logger.info(f"Seeding forecasts for: {tenant_name}", tenant_id=str(tenant_id))
created = 0
# Create 7 days of forecasts
for days_ahead in range(1, 8):
forecast_date = BASE_REFERENCE_DATE + timedelta(days=days_ahead)
for sku, base_qty in base_forecasts.items():
base_product_id = uuid.UUID(PRODUCT_IDS[sku])
tenant_int = int(tenant_id.hex, 16)
product_id = uuid.UUID(int=tenant_int ^ int(base_product_id.hex, 16))
# Weekend boost
is_weekend = forecast_date.weekday() in [5, 6]
day_of_week = forecast_date.weekday()
multiplier = random.uniform(1.3, 1.5) if is_weekend else random.uniform(0.9, 1.1)
forecasted_quantity = int(base_qty * multiplier)
forecast = Forecast(
id=uuid.uuid4(),
tenant_id=tenant_id,
inventory_product_id=product_id,
product_name=sku,
location=tenant_name,
forecast_date=forecast_date,
created_at=BASE_REFERENCE_DATE,
predicted_demand=float(forecasted_quantity),
confidence_lower=float(int(forecasted_quantity * 0.85)),
confidence_upper=float(int(forecasted_quantity * 1.15)),
confidence_level=0.90,
model_id="retail_forecast_model",
model_version="retail_v1.0",
algorithm="prophet_retail",
business_type="retail_outlet",
day_of_week=day_of_week,
is_holiday=False,
is_weekend=is_weekend,
weather_temperature=random.uniform(10.0, 25.0),
weather_precipitation=random.uniform(0.0, 5.0) if random.random() < 0.3 else 0.0,
weather_description="Clear" if random.random() > 0.3 else "Rainy",
traffic_volume=random.randint(50, 200) if is_weekend else random.randint(30, 120),
processing_time_ms=random.randint(50, 200),
features_used={"historical_sales": True, "weather": True, "day_of_week": True}
)
db.add(forecast)
created += 1
await db.commit()
logger.info(f"Created {created} forecasts for {tenant_name}")
return {"tenant_id": str(tenant_id), "forecasts_created": created}
async def seed_all(db: AsyncSession):
"""Seed all retail forecasts"""
logger.info("=" * 80)
logger.info("📈 Starting Demo Retail Forecasting Seeding")
logger.info("=" * 80)
results = []
for tenant_id, tenant_name, base_forecasts in RETAIL_FORECASTS:
result = await seed_forecasts_for_retail_tenant(db, tenant_id, f"{tenant_name} (Retail)", base_forecasts)
results.append(result)
total = sum(r["forecasts_created"] for r in results)
logger.info(f"✅ Total forecasts created: {total}")
return {"total_forecasts": total, "results": results}
async def main():
database_url = os.getenv("FORECASTING_DATABASE_URL") or os.getenv("DATABASE_URL")
if not database_url:
logger.error("❌ DATABASE_URL not set")
return 1
if database_url.startswith("postgresql://"):
database_url = database_url.replace("postgresql://", "postgresql+asyncpg://", 1)
engine = create_async_engine(database_url, echo=False, pool_pre_ping=True)
async_session = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
try:
async with async_session() as session:
await seed_all(session)
logger.info("🎉 Retail forecasting seed completed!")
return 0
except Exception as e:
logger.error(f"❌ Seed failed: {e}", exc_info=True)
return 1
finally:
await engine.dispose()
if __name__ == "__main__":
exit_code = asyncio.run(main())
sys.exit(exit_code)

87
services/inventory/app/api/internal_alert_trigger.py Normal file
View File

@@ -0,0 +1,87 @@
# services/inventory/app/api/internal_alert_trigger.py
"""
Internal API for triggering inventory alerts.
Used by demo session cloning to generate realistic inventory alerts.
URL Pattern: /api/v1/tenants/{tenant_id}/inventory/internal/alerts/trigger
This follows the tenant-scoped pattern so gateway can proxy correctly.
"""
from fastapi import APIRouter, HTTPException, Request, Path
from uuid import UUID
import structlog
logger = structlog.get_logger()
router = APIRouter()
# New URL pattern: tenant-scoped so gateway proxies to inventory service correctly
@router.post("/api/v1/tenants/{tenant_id}/inventory/internal/alerts/trigger")
async def trigger_inventory_alerts(
tenant_id: UUID = Path(..., description="Tenant ID to check inventory for"),
request: Request = None
) -> dict:
"""
Trigger comprehensive inventory alert checks for a specific tenant (internal use only).
This endpoint is called by the demo session cloning process after inventory
data is seeded to generate realistic inventory alerts including:
- Critical stock shortages
- Expiring ingredients
- Overstock situations
Security: Protected by X-Internal-Service header check.
"""
try:
# Verify internal service header
if not request or request.headers.get("X-Internal-Service") not in ["demo-session", "internal"]:
logger.warning("Unauthorized internal API call", tenant_id=str(tenant_id))
raise HTTPException(
status_code=403,
detail="This endpoint is for internal service use only"
)
# Get inventory scheduler from app state
inventory_scheduler = getattr(request.app.state, 'inventory_scheduler', None)
if not inventory_scheduler:
logger.error("Inventory scheduler not initialized")
raise HTTPException(
status_code=500,
detail="Inventory scheduler not available"
)
# Trigger comprehensive inventory alert checks for the specific tenant
logger.info("Triggering comprehensive inventory alert checks", tenant_id=str(tenant_id))
# Call the scheduler's manual trigger method
result = await inventory_scheduler.trigger_manual_check(tenant_id)
if result.get("success", False):
logger.info(
"Inventory alert checks completed successfully",
tenant_id=str(tenant_id),
alerts_generated=result.get("alerts_generated", 0)
)
else:
logger.error(
"Inventory alert checks failed",
tenant_id=str(tenant_id),
error=result.get("error", "Unknown error")
)
return result
except HTTPException:
raise
except Exception as e:
logger.error(
"Error triggering inventory alerts",
tenant_id=str(tenant_id),
error=str(e),
exc_info=True
)
raise HTTPException(
status_code=500,
detail=f"Failed to trigger inventory alerts: {str(e)}"
)

744
services/inventory/app/api/internal_demo.py
View File

@@ -1,44 +1,37 @@
"""
Internal Demo Cloning API for Inventory Service
Service-to-service endpoint for cloning inventory data with date adjustment
Handles internal demo data cloning operations
"""
from fastapi import APIRouter, Depends, HTTPException, Header
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, func
import structlog
import uuid
from datetime import datetime, timezone
from typing import Optional
import os
import sys
import structlog
import json
from pathlib import Path
# Add shared path
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent))
from datetime import datetime
import uuid
from uuid import UUID
from app.core.database import get_db
from app.models.inventory import Ingredient, Stock, StockMovement
from shared.utils.demo_dates import adjust_date_for_demo, BASE_REFERENCE_DATE
from app.core.config import settings
from app.models import Ingredient, Stock, ProductType
logger = structlog.get_logger()
router = APIRouter(prefix="/internal/demo", tags=["internal"])
# Base demo tenant IDs
DEMO_TENANT_PROFESSIONAL = "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6"
router = APIRouter()
def verify_internal_api_key(x_internal_api_key: Optional[str] = Header(None)):
async def verify_internal_api_key(x_internal_api_key: str = Header(None)):
"""Verify internal API key for service-to-service communication"""
from app.core.config import settings
if x_internal_api_key != settings.INTERNAL_API_KEY:
required_key = settings.INTERNAL_API_KEY
if x_internal_api_key != required_key:
logger.warning("Unauthorized internal API access attempted")
raise HTTPException(status_code=403, detail="Invalid internal API key")
return True
@router.post("/clone")
async def clone_demo_data(
@router.post("/internal/demo/clone")
async def clone_demo_data_internal(
base_tenant_id: str,
virtual_tenant_id: str,
demo_account_type: str,
@@ -50,350 +43,346 @@ async def clone_demo_data(
"""
Clone inventory service data for a virtual demo tenant
Clones:
- Ingredients from template tenant
- Stock batches with date-adjusted expiration dates
- Generates inventory alerts based on stock status
This endpoint creates fresh demo data by:
1. Loading seed data from JSON files
2. Applying XOR-based ID transformation
3. Adjusting dates relative to session creation time
4. Creating records in the virtual tenant
Args:
base_tenant_id: Template tenant UUID to clone from
base_tenant_id: Template tenant UUID (for reference)
virtual_tenant_id: Target virtual tenant UUID
demo_account_type: Type of demo account
session_id: Originating session ID for tracing
session_created_at: ISO timestamp when demo session was created (for date adjustment)
session_created_at: Session creation timestamp for date adjustment
db: Database session
Returns:
Cloning status and record counts
Dictionary with cloning results
Raises:
HTTPException: On validation or cloning errors
"""
start_time = datetime.now(timezone.utc)
# Parse session_created_at or fallback to now
if session_created_at:
try:
session_time = datetime.fromisoformat(session_created_at.replace('Z', '+00:00'))
except (ValueError, AttributeError) as e:
logger.warning(
"Invalid session_created_at format, using current time",
session_created_at=session_created_at,
error=str(e)
)
session_time = datetime.now(timezone.utc)
else:
logger.warning("session_created_at not provided, using current time")
session_time = datetime.now(timezone.utc)
logger.info(
"Starting inventory data cloning with date adjustment",
base_tenant_id=base_tenant_id,
virtual_tenant_id=virtual_tenant_id,
demo_account_type=demo_account_type,
session_id=session_id,
session_time=session_time.isoformat()
)
start_time = datetime.now()
try:
# Validate UUIDs
base_uuid = uuid.UUID(base_tenant_id)
virtual_uuid = uuid.UUID(virtual_tenant_id)
virtual_uuid = UUID(virtual_tenant_id)
# Parse session creation time for date adjustment
if session_created_at:
try:
session_time = datetime.fromisoformat(session_created_at.replace('Z', '+00:00'))
except (ValueError, AttributeError):
session_time = start_time
else:
session_time = start_time
# Debug logging for UUID values
logger.debug("Received UUID values", base_tenant_id=base_tenant_id, virtual_tenant_id=virtual_tenant_id)
if not all([base_tenant_id, virtual_tenant_id, session_id]):
raise HTTPException(
status_code=400,
detail="Missing required parameters: base_tenant_id, virtual_tenant_id, session_id"
)
# Validate UUID format before processing
try:
UUID(base_tenant_id)
UUID(virtual_tenant_id)
except ValueError as e:
logger.error("Invalid UUID format in request",
base_tenant_id=base_tenant_id,
virtual_tenant_id=virtual_tenant_id,
error=str(e))
raise HTTPException(
status_code=400,
detail=f"Invalid UUID format: {str(e)}"
)
# Parse session creation time
if session_created_at:
try:
session_created_at_parsed = datetime.fromisoformat(session_created_at.replace('Z', '+00:00'))
except (ValueError, AttributeError):
session_created_at_parsed = datetime.now()
else:
session_created_at_parsed = datetime.now()
# Determine profile based on demo_account_type
if demo_account_type == "enterprise":
profile = "enterprise"
else:
profile = "professional"
logger.info(
"Starting inventory data cloning with date adjustment",
base_tenant_id=base_tenant_id,
virtual_tenant_id=virtual_tenant_id,
demo_account_type=demo_account_type,
session_id=session_id,
session_time=session_created_at_parsed.isoformat()
)
# Load seed data using shared utility
try:
from shared.utils.seed_data_paths import get_seed_data_path
if profile == "professional":
json_file = get_seed_data_path("professional", "03-inventory.json")
elif profile == "enterprise":
json_file = get_seed_data_path("enterprise", "03-inventory.json")
else:
raise ValueError(f"Invalid profile: {profile}")
except ImportError:
# Fallback to original path
seed_data_dir = Path(__file__).parent.parent.parent.parent / "infrastructure" / "seed-data"
if profile == "professional":
json_file = seed_data_dir / "professional" / "03-inventory.json"
elif profile == "enterprise":
json_file = seed_data_dir / "enterprise" / "parent" / "03-inventory.json"
else:
raise ValueError(f"Invalid profile: {profile}")
if not json_file.exists():
raise HTTPException(
status_code=404,
detail=f"Seed data file not found: {json_file}"
)
# Load JSON data
with open(json_file, 'r', encoding='utf-8') as f:
seed_data = json.load(f)
# Check if data already exists for this virtual tenant (idempotency)
from sqlalchemy import select, delete
existing_check = await db.execute(
select(Ingredient).where(Ingredient.tenant_id == virtual_uuid).limit(1)
select(Ingredient).where(Ingredient.tenant_id == virtual_tenant_id).limit(1)
)
existing_ingredient = existing_check.scalars().first()
existing_ingredient = existing_check.scalar_one_or_none()
if existing_ingredient:
logger.warning(
"Data already exists for virtual tenant - cleaning before re-clone",
virtual_tenant_id=virtual_tenant_id,
base_tenant_id=base_tenant_id
)
# Clean up existing data first to ensure fresh clone
from sqlalchemy import delete
await db.execute(
delete(StockMovement).where(StockMovement.tenant_id == virtual_uuid)
)
await db.execute(
delete(Stock).where(Stock.tenant_id == virtual_uuid)
)
await db.execute(
delete(Ingredient).where(Ingredient.tenant_id == virtual_uuid)
)
await db.commit()
logger.info(
"Existing data cleaned, proceeding with fresh clone",
"Demo data already exists, skipping clone",
virtual_tenant_id=virtual_tenant_id
)
return {
"status": "skipped",
"reason": "Data already exists",
"records_cloned": 0
}
# Track cloning statistics
stats = {
"ingredients": 0,
"stock_batches": 0,
"stock_movements": 0,
"alerts_generated": 0
}
# Transform and insert data
records_cloned = 0
# Mapping from base ingredient ID to virtual ingredient ID
ingredient_id_mapping = {}
# Mapping from base stock ID to virtual stock ID
stock_id_mapping = {}
# Clone Ingredients
result = await db.execute(
select(Ingredient).where(Ingredient.tenant_id == base_uuid)
)
base_ingredients = result.scalars().all()
logger.info(
"Found ingredients to clone",
count=len(base_ingredients),
base_tenant=str(base_uuid)
)
for ingredient in base_ingredients:
# Transform ingredient ID using XOR to ensure consistency across services
# This formula matches the suppliers service ID transformation
# Formula: virtual_ingredient_id = virtual_tenant_id XOR base_ingredient_id
base_ingredient_int = int(ingredient.id.hex, 16)
virtual_tenant_int = int(virtual_uuid.hex, 16)
base_tenant_int = int(base_uuid.hex, 16)
# Reverse the original XOR to get the base ingredient ID
# base_ingredient = base_tenant ^ base_ingredient_id
# So: base_ingredient_id = base_tenant ^ base_ingredient
base_ingredient_id_int = base_tenant_int ^ base_ingredient_int
# Now apply virtual tenant XOR to get the new ingredient ID
new_ingredient_id = uuid.UUID(int=virtual_tenant_int ^ base_ingredient_id_int)
logger.debug(
"Transforming ingredient ID using XOR",
base_ingredient_id=str(ingredient.id),
new_ingredient_id=str(new_ingredient_id),
ingredient_sku=ingredient.sku,
ingredient_name=ingredient.name
)
new_ingredient = Ingredient(
id=new_ingredient_id,
tenant_id=virtual_uuid,
name=ingredient.name,
sku=ingredient.sku,
barcode=ingredient.barcode,
product_type=ingredient.product_type,
ingredient_category=ingredient.ingredient_category,
product_category=ingredient.product_category,
subcategory=ingredient.subcategory,
description=ingredient.description,
brand=ingredient.brand,
unit_of_measure=ingredient.unit_of_measure,
package_size=ingredient.package_size,
average_cost=ingredient.average_cost,
last_purchase_price=ingredient.last_purchase_price,
standard_cost=ingredient.standard_cost,
low_stock_threshold=ingredient.low_stock_threshold,
reorder_point=ingredient.reorder_point,
reorder_quantity=ingredient.reorder_quantity,
max_stock_level=ingredient.max_stock_level,
shelf_life_days=ingredient.shelf_life_days,
display_life_hours=ingredient.display_life_hours,
best_before_hours=ingredient.best_before_hours,
storage_instructions=ingredient.storage_instructions,
is_perishable=ingredient.is_perishable,
is_active=ingredient.is_active,
allergen_info=ingredient.allergen_info,
nutritional_info=ingredient.nutritional_info
)
db.add(new_ingredient)
stats["ingredients"] += 1
# Store mapping for stock cloning
ingredient_id_mapping[ingredient.id] = new_ingredient_id
await db.flush() # Ensure ingredients are persisted before stock
# Clone Stock batches with date adjustment
result = await db.execute(
select(Stock).where(Stock.tenant_id == base_uuid)
)
base_stocks = result.scalars().all()
logger.info(
"Found stock batches to clone",
count=len(base_stocks),
base_tenant=str(base_uuid)
)
for stock in base_stocks:
# Map ingredient ID
new_ingredient_id = ingredient_id_mapping.get(stock.ingredient_id)
if not new_ingredient_id:
logger.warning(
"Stock references non-existent ingredient, skipping",
stock_id=str(stock.id),
ingredient_id=str(stock.ingredient_id)
# Clone ingredients
for ingredient_data in seed_data.get('ingredients', []):
# Transform ID
from shared.utils.demo_id_transformer import transform_id
try:
ingredient_uuid = UUID(ingredient_data['id'])
tenant_uuid = UUID(virtual_tenant_id)
transformed_id = transform_id(ingredient_data['id'], tenant_uuid)
except ValueError as e:
logger.error("Failed to parse UUIDs for ID transformation",
ingredient_id=ingredient_data['id'],
virtual_tenant_id=virtual_tenant_id,
error=str(e))
raise HTTPException(
status_code=400,
detail=f"Invalid UUID format in ingredient data: {str(e)}"
)
continue
# Adjust dates relative to session creation
adjusted_expiration = adjust_date_for_demo(
stock.expiration_date,
session_time,
BASE_REFERENCE_DATE
# Transform dates
from shared.utils.demo_dates import adjust_date_for_demo
for date_field in ['expiration_date', 'received_date', 'created_at', 'updated_at']:
if date_field in ingredient_data:
try:
date_value = ingredient_data[date_field]
# Handle both string dates and date objects
if isinstance(date_value, str):
original_date = datetime.fromisoformat(date_value)
elif hasattr(date_value, 'isoformat'):
# Already a date/datetime object
original_date = date_value
else:
# Skip if not a valid date format
logger.warning("Skipping invalid date format",
date_field=date_field,
date_value=date_value)
continue
adjusted_date = adjust_date_for_demo(
original_date,
session_created_at_parsed
)
ingredient_data[date_field] = adjusted_date
except (ValueError, AttributeError) as e:
logger.warning("Failed to parse date, skipping",
date_field=date_field,
date_value=ingredient_data[date_field],
error=str(e))
# Remove invalid date to avoid model errors
ingredient_data.pop(date_field, None)
# Map category field to ingredient_category enum
if 'category' in ingredient_data:
category_value = ingredient_data.pop('category')
# Convert category string to IngredientCategory enum
from app.models.inventory import IngredientCategory
try:
ingredient_data['ingredient_category'] = IngredientCategory[category_value.upper()]
except KeyError:
# If category not found in enum, use OTHER
ingredient_data['ingredient_category'] = IngredientCategory.OTHER
# Map unit_of_measure string to enum
if 'unit_of_measure' in ingredient_data:
from app.models.inventory import UnitOfMeasure
unit_mapping = {
'kilograms': UnitOfMeasure.KILOGRAMS,
'grams': UnitOfMeasure.GRAMS,
'liters': UnitOfMeasure.LITERS,
'milliliters': UnitOfMeasure.MILLILITERS,
'units': UnitOfMeasure.UNITS,
'pieces': UnitOfMeasure.PIECES,
'packages': UnitOfMeasure.PACKAGES,
'bags': UnitOfMeasure.BAGS,
'boxes': UnitOfMeasure.BOXES
}
unit_str = ingredient_data['unit_of_measure']
if unit_str in unit_mapping:
ingredient_data['unit_of_measure'] = unit_mapping[unit_str]
else:
# Default to units if not found
ingredient_data['unit_of_measure'] = UnitOfMeasure.UNITS
logger.warning("Unknown unit_of_measure, defaulting to UNITS",
original_unit=unit_str)
# Note: All seed data fields now match the model schema exactly
# No field filtering needed
# Remove original id and tenant_id from ingredient_data to avoid conflict
ingredient_data.pop('id', None)
ingredient_data.pop('tenant_id', None)
# Create ingredient
ingredient = Ingredient(
id=str(transformed_id),
tenant_id=str(virtual_tenant_id),
**ingredient_data
)
adjusted_received = adjust_date_for_demo(
stock.received_date,
session_time,
BASE_REFERENCE_DATE
db.add(ingredient)
records_cloned += 1
# Clone stock batches
for stock_data in seed_data.get('stock_batches', []):
# Transform ID - handle both UUID and string IDs
from shared.utils.demo_id_transformer import transform_id
try:
# Try to parse as UUID first
stock_uuid = UUID(stock_data['id'])
tenant_uuid = UUID(virtual_tenant_id)
transformed_id = transform_id(stock_data['id'], tenant_uuid)
except ValueError:
# If not a UUID, generate a deterministic UUID from the string ID
import hashlib
stock_id_string = stock_data['id']
tenant_uuid = UUID(virtual_tenant_id)
# Create a deterministic UUID from the string ID and tenant ID
combined = f"{stock_id_string}-{tenant_uuid}"
hash_obj = hashlib.sha256(combined.encode('utf-8'))
transformed_id = UUID(hash_obj.hexdigest()[:32])
logger.info("Generated UUID for non-UUID stock ID",
original_id=stock_id_string,
generated_id=str(transformed_id))
# Transform dates - handle both timestamp dictionaries and ISO strings
for date_field in ['received_date', 'expiration_date', 'best_before_date', 'original_expiration_date', 'transformation_date', 'final_expiration_date', 'created_at', 'updated_at']:
if date_field in stock_data:
try:
date_value = stock_data[date_field]
# Handle timestamp dictionaries (offset_days, hour, minute)
if isinstance(date_value, dict) and 'offset_days' in date_value:
from shared.utils.demo_dates import calculate_demo_datetime
original_date = calculate_demo_datetime(
offset_days=date_value.get('offset_days', 0),
hour=date_value.get('hour', 0),
minute=date_value.get('minute', 0),
session_created_at=session_created_at_parsed
)
elif isinstance(date_value, str):
# ISO string
original_date = datetime.fromisoformat(date_value)
elif hasattr(date_value, 'isoformat'):
# Already a date/datetime object
original_date = date_value
else:
# Skip if not a valid date format
logger.warning("Skipping invalid date format",
date_field=date_field,
date_value=date_value)
continue
adjusted_stock_date = adjust_date_for_demo(
original_date,
session_created_at_parsed
)
stock_data[date_field] = adjusted_stock_date
except (ValueError, AttributeError) as e:
logger.warning("Failed to parse date, skipping",
date_field=date_field,
date_value=stock_data[date_field],
error=str(e))
# Remove invalid date to avoid model errors
stock_data.pop(date_field, None)
# Remove original id and tenant_id from stock_data to avoid conflict
stock_data.pop('id', None)
stock_data.pop('tenant_id', None)
# Create stock batch
stock = Stock(
id=str(transformed_id),
tenant_id=str(virtual_tenant_id),
**stock_data
)
adjusted_best_before = adjust_date_for_demo(
stock.best_before_date,
session_time,
BASE_REFERENCE_DATE
)
adjusted_created = adjust_date_for_demo(
stock.created_at,
session_time,
BASE_REFERENCE_DATE
) or session_time
db.add(stock)
records_cloned += 1
# Create new stock batch with new ID
new_stock_id = uuid.uuid4()
new_stock = Stock(
id=new_stock_id,
tenant_id=virtual_uuid,
ingredient_id=new_ingredient_id,
supplier_id=stock.supplier_id,
batch_number=stock.batch_number,
lot_number=stock.lot_number,
supplier_batch_ref=stock.supplier_batch_ref,
production_stage=stock.production_stage,
current_quantity=stock.current_quantity,
reserved_quantity=stock.reserved_quantity,
available_quantity=stock.available_quantity,
received_date=adjusted_received,
expiration_date=adjusted_expiration,
best_before_date=adjusted_best_before,
unit_cost=stock.unit_cost,
total_cost=stock.total_cost,
storage_location=stock.storage_location,
warehouse_zone=stock.warehouse_zone,
shelf_position=stock.shelf_position,
requires_refrigeration=stock.requires_refrigeration,
requires_freezing=stock.requires_freezing,
storage_temperature_min=stock.storage_temperature_min,
storage_temperature_max=stock.storage_temperature_max,
storage_humidity_max=stock.storage_humidity_max,
shelf_life_days=stock.shelf_life_days,
storage_instructions=stock.storage_instructions,
is_available=stock.is_available,
is_expired=stock.is_expired,
quality_status=stock.quality_status,
created_at=adjusted_created,
updated_at=session_time
)
db.add(new_stock)
stats["stock_batches"] += 1
# Store mapping for movement cloning
stock_id_mapping[stock.id] = new_stock_id
await db.flush() # Ensure stock is persisted before movements
# Clone Stock Movements with date adjustment
result = await db.execute(
select(StockMovement).where(StockMovement.tenant_id == base_uuid)
)
base_movements = result.scalars().all()
logger.info(
"Found stock movements to clone",
count=len(base_movements),
base_tenant=str(base_uuid)
)
for movement in base_movements:
# Map ingredient ID and stock ID
new_ingredient_id = ingredient_id_mapping.get(movement.ingredient_id)
new_stock_id = stock_id_mapping.get(movement.stock_id) if movement.stock_id else None
if not new_ingredient_id:
logger.warning(
"Movement references non-existent ingredient, skipping",
movement_id=str(movement.id),
ingredient_id=str(movement.ingredient_id)
)
continue
# Adjust movement date relative to session creation
adjusted_movement_date = adjust_date_for_demo(
movement.movement_date,
session_time,
BASE_REFERENCE_DATE
) or session_time
adjusted_created_at = adjust_date_for_demo(
movement.created_at,
session_time,
BASE_REFERENCE_DATE
) or session_time
# Create new stock movement
new_movement = StockMovement(
id=uuid.uuid4(),
tenant_id=virtual_uuid,
ingredient_id=new_ingredient_id,
stock_id=new_stock_id,
movement_type=movement.movement_type,
quantity=movement.quantity,
unit_cost=movement.unit_cost,
total_cost=movement.total_cost,
quantity_before=movement.quantity_before,
quantity_after=movement.quantity_after,
reference_number=movement.reference_number,
supplier_id=movement.supplier_id,
notes=movement.notes,
reason_code=movement.reason_code,
movement_date=adjusted_movement_date,
created_at=adjusted_created_at,
created_by=movement.created_by
)
db.add(new_movement)
stats["stock_movements"] += 1
# Commit all changes
await db.commit()
# NOTE: Alert generation removed - alerts are now generated automatically by the
# inventory_alert_service which runs scheduled checks every 2-5 minutes.
# This eliminates duplicate alerts and provides a more realistic demo experience.
stats["alerts_generated"] = 0
total_records = stats["ingredients"] + stats["stock_batches"]
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
duration_ms = int((datetime.now() - start_time).total_seconds() * 1000)
logger.info(
"Inventory data cloning completed with date adjustment",
"Inventory data cloned successfully",
virtual_tenant_id=virtual_tenant_id,
total_records=total_records,
stats=stats,
duration_ms=duration_ms
records_cloned=records_cloned,
duration_ms=duration_ms,
ingredients_cloned=len(seed_data.get('ingredients', [])),
stock_batches_cloned=len(seed_data.get('stock_batches', []))
)
return {
"service": "inventory",
"status": "completed",
"records_cloned": total_records,
"records_cloned": records_cloned,
"duration_ms": duration_ms,
"details": stats
"details": {
"ingredients": len(seed_data.get('ingredients', [])),
"stock_batches": len(seed_data.get('stock_batches', [])),
"virtual_tenant_id": str(virtual_tenant_id)
}
}
except ValueError as e:
logger.error("Invalid UUID format", error=str(e))
logger.error("Invalid UUID format", error=str(e), virtual_tenant_id=virtual_tenant_id)
raise HTTPException(status_code=400, detail=f"Invalid UUID: {str(e)}")
except Exception as e:
@@ -411,7 +400,7 @@ async def clone_demo_data(
"service": "inventory",
"status": "failed",
"records_cloned": 0,
"duration_ms": int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000),
"duration_ms": int((datetime.now() - start_time).total_seconds() * 1000),
"error": str(e)
}
@@ -430,101 +419,68 @@ async def clone_health_check(_: bool = Depends(verify_internal_api_key)):
@router.delete("/tenant/{virtual_tenant_id}")
async def delete_demo_data(
virtual_tenant_id: str,
async def delete_demo_tenant_data(
virtual_tenant_id: UUID,
db: AsyncSession = Depends(get_db),
_: bool = Depends(verify_internal_api_key)
):
"""
Delete all inventory data for a virtual demo tenant
Called by demo session cleanup service to remove ephemeral data
when demo sessions expire or are destroyed.
Args:
virtual_tenant_id: Virtual tenant UUID to delete
Returns:
Deletion status and count of records deleted
Delete all demo data for a virtual tenant.
This endpoint is idempotent - safe to call multiple times.
"""
from sqlalchemy import delete
start_time = datetime.now()
logger.info(
"Deleting inventory data for virtual tenant",
virtual_tenant_id=virtual_tenant_id
)
start_time = datetime.now(timezone.utc)
records_deleted = {
"ingredients": 0,
"stock": 0,
"total": 0
}
try:
virtual_uuid = uuid.UUID(virtual_tenant_id)
# Delete in reverse dependency order
# Count records before deletion for reporting
stock_count = await db.scalar(
select(func.count(Stock.id)).where(Stock.tenant_id == virtual_uuid)
)
ingredient_count = await db.scalar(
select(func.count(Ingredient.id)).where(Ingredient.tenant_id == virtual_uuid)
)
movement_count = await db.scalar(
select(func.count(StockMovement.id)).where(StockMovement.tenant_id == virtual_uuid)
# 1. Delete stock batches (depends on ingredients)
result = await db.execute(
delete(Stock)
.where(Stock.tenant_id == virtual_tenant_id)
)
records_deleted["stock"] = result.rowcount
# Delete in correct order to respect foreign key constraints
# 1. Delete StockMovements (references Stock)
await db.execute(
delete(StockMovement).where(StockMovement.tenant_id == virtual_uuid)
# 2. Delete ingredients
result = await db.execute(
delete(Ingredient)
.where(Ingredient.tenant_id == virtual_tenant_id)
)
records_deleted["ingredients"] = result.rowcount
# 2. Delete Stock batches (references Ingredient)
await db.execute(
delete(Stock).where(Stock.tenant_id == virtual_uuid)
)
# 3. Delete Ingredients
await db.execute(
delete(Ingredient).where(Ingredient.tenant_id == virtual_uuid)
)
records_deleted["total"] = sum(records_deleted.values())
await db.commit()
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
logger.info(
"Inventory data deleted successfully",
virtual_tenant_id=virtual_tenant_id,
stocks_deleted=stock_count,
ingredients_deleted=ingredient_count,
movements_deleted=movement_count,
duration_ms=duration_ms
"demo_data_deleted",
service="inventory",
virtual_tenant_id=str(virtual_tenant_id),
records_deleted=records_deleted
)
return {
"service": "inventory",
"status": "deleted",
"virtual_tenant_id": virtual_tenant_id,
"records_deleted": {
"stock_batches": stock_count,
"ingredients": ingredient_count,
"stock_movements": movement_count,
"total": stock_count + ingredient_count + movement_count
},
"duration_ms": duration_ms
"virtual_tenant_id": str(virtual_tenant_id),
"records_deleted": records_deleted,
"duration_ms": int((datetime.now() - start_time).total_seconds() * 1000)
}
except ValueError as e:
logger.error("Invalid UUID format", error=str(e))
raise HTTPException(status_code=400, detail=f"Invalid UUID: {str(e)}")
except Exception as e:
logger.error(
"Failed to delete inventory data",
virtual_tenant_id=virtual_tenant_id,
error=str(e),
exc_info=True
)
await db.rollback()
logger.error(
"demo_data_deletion_failed",
service="inventory",
virtual_tenant_id=str(virtual_tenant_id),
error=str(e)
)
raise HTTPException(
status_code=500,
detail=f"Failed to delete inventory data: {str(e)}"
detail=f"Failed to delete demo data: {str(e)}"
)

86
services/inventory/app/api/ml_insights.py
View File

@@ -319,3 +319,89 @@ async def ml_insights_health():
"POST /ml/insights/optimize-safety-stock"
]
}
# ================================================================
# INTERNAL ENDPOINTS (for demo-session service)
# ================================================================
from fastapi import Request
# Create a separate router for internal endpoints to avoid the tenant prefix
internal_router = APIRouter(
tags=["ML Insights - Internal"]
)
@internal_router.post("/api/v1/tenants/{tenant_id}/inventory/internal/ml/generate-safety-stock-insights")
async def generate_safety_stock_insights_internal(
tenant_id: str,
request: Request,
db: AsyncSession = Depends(get_db)
):
"""
Internal endpoint to trigger safety stock insights generation for demo sessions.
This endpoint is called by the demo-session service after cloning data.
It uses the same ML logic as the public endpoint but with optimized defaults.
Security: Protected by X-Internal-Service header check.
Args:
tenant_id: The tenant UUID
request: FastAPI request object
db: Database session
Returns:
{
"insights_posted": int,
"tenant_id": str,
"status": str
}
"""
# Verify internal service header
if not request or request.headers.get("X-Internal-Service") not in ["demo-session", "internal"]:
logger.warning("Unauthorized internal API call", tenant_id=tenant_id)
raise HTTPException(
status_code=403,
detail="This endpoint is for internal service use only"
)
logger.info("Internal safety stock insights generation triggered", tenant_id=tenant_id)
try:
# Use the existing safety stock optimization logic with sensible defaults
request_data = SafetyStockOptimizationRequest(
product_ids=None, # Analyze all products
lookback_days=90, # 3 months of history
min_history_days=30 # Minimum 30 days required
)
# Call the existing safety stock optimization endpoint logic
result = await trigger_safety_stock_optimization(
tenant_id=tenant_id,
request_data=request_data,
db=db
)
# Return simplified response for internal use
return {
"insights_posted": result.total_insights_posted,
"tenant_id": tenant_id,
"status": "success" if result.success else "failed",
"message": result.message,
"products_optimized": result.products_optimized,
"total_cost_savings": result.total_cost_savings
}
except Exception as e:
logger.error(
"Internal safety stock insights generation failed",
tenant_id=tenant_id,
error=str(e),
exc_info=True
)
raise HTTPException(
status_code=500,
detail=f"Internal safety stock insights generation failed: {str(e)}"
)

22
services/inventory/app/main.py
View File

@@ -11,12 +11,14 @@ from sqlalchemy import text
from app.core.config import settings
from app.core.database import database_manager
from app.services.inventory_alert_service import InventoryAlertService
from app.services.inventory_scheduler import InventoryScheduler
from app.consumers.delivery_event_consumer import DeliveryEventConsumer
from shared.service_base import StandardFastAPIService
from shared.messaging import UnifiedEventPublisher
import asyncio
from app.api import (
internal_demo,
batch,
ingredients,
stock_entries,
@@ -29,10 +31,11 @@ from app.api import (
dashboard,
analytics,
sustainability,
internal_demo,
audit,
ml_insights
)
from app.api.internal_alert_trigger import router as internal_alert_trigger_router
from app.api.internal_demo import router as internal_demo_router
class InventoryService(StandardFastAPIService):
@@ -115,8 +118,14 @@ class InventoryService(StandardFastAPIService):
await alert_service.start()
self.logger.info("Inventory alert service started")
# Store alert service in app state
# Initialize inventory scheduler with alert service and database manager
inventory_scheduler = InventoryScheduler(alert_service, self.database_manager)
await inventory_scheduler.start()
self.logger.info("Inventory scheduler started")
# Store services in app state
app.state.alert_service = alert_service
app.state.inventory_scheduler = inventory_scheduler # Store scheduler for manual triggering
else:
self.logger.error("Event publisher not initialized, alert service unavailable")
@@ -136,6 +145,11 @@ class InventoryService(StandardFastAPIService):
async def on_shutdown(self, app: FastAPI):
"""Custom shutdown logic for inventory service"""
# Stop inventory scheduler
if hasattr(app.state, 'inventory_scheduler') and app.state.inventory_scheduler:
await app.state.inventory_scheduler.stop()
self.logger.info("Inventory scheduler stopped")
# Cancel delivery consumer task
if self.delivery_consumer_task and not self.delivery_consumer_task.done():
self.delivery_consumer_task.cancel()
@@ -198,8 +212,10 @@ service.add_router(food_safety_operations.router)
service.add_router(dashboard.router)
service.add_router(analytics.router)
service.add_router(sustainability.router)
service.add_router(internal_demo.router)
service.add_router(internal_demo.router, tags=["internal-demo"])
service.add_router(ml_insights.router) # ML insights endpoint
service.add_router(ml_insights.internal_router) # Internal ML insights endpoint for demo cloning
service.add_router(internal_alert_trigger_router) # Internal alert trigger for demo cloning
if __name__ == "__main__":

19
services/inventory/app/repositories/food_safety_repository.py
View File

@@ -277,3 +277,22 @@ class FoodSafetyRepository:
except Exception as e:
logger.error("Failed to validate ingredient", error=str(e))
raise
async def mark_temperature_alert_triggered(self, log_id: UUID) -> None:
"""
Mark a temperature log as having triggered an alert
"""
try:
query = text("""
UPDATE temperature_logs
SET alert_triggered = true
WHERE id = :id
""")
await self.session.execute(query, {"id": log_id})
await self.session.commit()
except Exception as e:
await self.session.rollback()
logger.error("Failed to mark temperature alert", error=str(e), log_id=str(log_id))
raise

301
services/inventory/app/repositories/inventory_alert_repository.py
View File

@@ -1,301 +0,0 @@
# services/inventory/app/repositories/inventory_alert_repository.py
"""
Inventory Alert Repository
Data access layer for inventory alert detection and analysis
"""
from typing import List, Dict, Any
from uuid import UUID
from sqlalchemy import text
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
logger = structlog.get_logger()
class InventoryAlertRepository:
"""Repository for inventory alert data access"""
def __init__(self, session: AsyncSession):
self.session = session
async def get_stock_issues(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get stock level issues with CTE analysis
Returns list of critical, low, and overstock situations
"""
try:
query = text("""
WITH stock_analysis AS (
SELECT
i.id, i.name, i.tenant_id,
COALESCE(SUM(s.current_quantity), 0) as current_stock,
i.low_stock_threshold as minimum_stock,
i.max_stock_level as maximum_stock,
i.reorder_point,
0 as tomorrow_needed,
0 as avg_daily_usage,
7 as lead_time_days,
CASE
WHEN COALESCE(SUM(s.current_quantity), 0) < i.low_stock_threshold THEN 'critical'
WHEN COALESCE(SUM(s.current_quantity), 0) < i.low_stock_threshold * 1.2 THEN 'low'
WHEN i.max_stock_level IS NOT NULL AND COALESCE(SUM(s.current_quantity), 0) > i.max_stock_level THEN 'overstock'
ELSE 'normal'
END as status,
GREATEST(0, i.low_stock_threshold - COALESCE(SUM(s.current_quantity), 0)) as shortage_amount
FROM ingredients i
LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY i.id, i.name, i.tenant_id, i.low_stock_threshold, i.max_stock_level, i.reorder_point
)
SELECT * FROM stock_analysis WHERE status != 'normal'
ORDER BY
CASE status
WHEN 'critical' THEN 1
WHEN 'low' THEN 2
WHEN 'overstock' THEN 3
END,
shortage_amount DESC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get stock issues", error=str(e), tenant_id=str(tenant_id))
raise
async def get_expiring_products(self, tenant_id: UUID, days_threshold: int = 7) -> List[Dict[str, Any]]:
"""
Get products expiring soon or already expired
"""
try:
query = text("""
SELECT
i.id as ingredient_id,
i.name as ingredient_name,
s.id as stock_id,
s.batch_number,
s.expiration_date,
s.current_quantity,
i.unit_of_measure,
s.unit_cost,
(s.current_quantity * s.unit_cost) as total_value,
CASE
WHEN s.expiration_date < CURRENT_DATE THEN 'expired'
WHEN s.expiration_date <= CURRENT_DATE + INTERVAL '1 day' THEN 'expires_today'
WHEN s.expiration_date <= CURRENT_DATE + INTERVAL '3 days' THEN 'expires_soon'
ELSE 'warning'
END as urgency,
EXTRACT(DAY FROM (s.expiration_date - CURRENT_DATE)) as days_until_expiry
FROM stock s
JOIN ingredients i ON s.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
AND s.is_available = true
AND s.expiration_date <= CURRENT_DATE + (INTERVAL '1 day' * :days_threshold)
ORDER BY s.expiration_date ASC, total_value DESC
""")
result = await self.session.execute(query, {
"tenant_id": tenant_id,
"days_threshold": days_threshold
})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get expiring products", error=str(e), tenant_id=str(tenant_id))
raise
async def get_temperature_breaches(self, tenant_id: UUID, hours_back: int = 24) -> List[Dict[str, Any]]:
"""
Get temperature monitoring breaches
"""
try:
query = text("""
SELECT
tl.id,
tl.equipment_id,
tl.equipment_name,
tl.storage_type,
tl.temperature_celsius,
tl.min_threshold,
tl.max_threshold,
tl.is_within_range,
tl.recorded_at,
tl.alert_triggered,
EXTRACT(EPOCH FROM (NOW() - tl.recorded_at))/3600 as hours_ago,
CASE
WHEN tl.temperature_celsius < tl.min_threshold
THEN tl.min_threshold - tl.temperature_celsius
WHEN tl.temperature_celsius > tl.max_threshold
THEN tl.temperature_celsius - tl.max_threshold
ELSE 0
END as deviation
FROM temperature_logs tl
WHERE tl.tenant_id = :tenant_id
AND tl.is_within_range = false
AND tl.recorded_at > NOW() - (INTERVAL '1 hour' * :hours_back)
AND tl.alert_triggered = false
ORDER BY deviation DESC, tl.recorded_at DESC
""")
result = await self.session.execute(query, {
"tenant_id": tenant_id,
"hours_back": hours_back
})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get temperature breaches", error=str(e), tenant_id=str(tenant_id))
raise
async def mark_temperature_alert_triggered(self, log_id: UUID) -> None:
"""
Mark a temperature log as having triggered an alert
"""
try:
query = text("""
UPDATE temperature_logs
SET alert_triggered = true
WHERE id = :id
""")
await self.session.execute(query, {"id": log_id})
await self.session.commit()
except Exception as e:
logger.error("Failed to mark temperature alert", error=str(e), log_id=str(log_id))
raise
async def get_waste_opportunities(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Identify waste reduction opportunities
"""
try:
query = text("""
WITH waste_analysis AS (
SELECT
i.id as ingredient_id,
i.name as ingredient_name,
i.ingredient_category,
COUNT(sm.id) as waste_incidents,
SUM(sm.quantity) as total_waste_quantity,
SUM(sm.total_cost) as total_waste_cost,
AVG(sm.quantity) as avg_waste_per_incident,
MAX(sm.movement_date) as last_waste_date
FROM stock_movements sm
JOIN ingredients i ON sm.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
AND sm.movement_type = 'WASTE'
AND sm.movement_date > NOW() - INTERVAL '30 days'
GROUP BY i.id, i.name, i.ingredient_category
HAVING COUNT(sm.id) >= 3 OR SUM(sm.total_cost) > 50
)
SELECT * FROM waste_analysis
ORDER BY total_waste_cost DESC, waste_incidents DESC
LIMIT 20
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get waste opportunities", error=str(e), tenant_id=str(tenant_id))
raise
async def get_reorder_recommendations(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get ingredients that need reordering based on stock levels and usage
"""
try:
query = text("""
WITH usage_analysis AS (
SELECT
i.id,
i.name,
COALESCE(SUM(s.current_quantity), 0) as current_stock,
i.reorder_point,
i.low_stock_threshold,
COALESCE(SUM(sm.quantity) FILTER (WHERE sm.movement_date > NOW() - INTERVAL '7 days'), 0) / 7 as daily_usage,
i.preferred_supplier_id,
i.standard_order_quantity
FROM ingredients i
LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
LEFT JOIN stock_movements sm ON sm.ingredient_id = i.id
AND sm.movement_type = 'PRODUCTION_USE'
AND sm.movement_date > NOW() - INTERVAL '7 days'
WHERE i.tenant_id = :tenant_id
AND i.is_active = true
GROUP BY i.id, i.name, i.reorder_point, i.low_stock_threshold,
i.preferred_supplier_id, i.standard_order_quantity
)
SELECT *,
CASE
WHEN daily_usage > 0 THEN FLOOR(current_stock / NULLIF(daily_usage, 0))
ELSE 999
END as days_of_stock,
GREATEST(
standard_order_quantity,
CEIL(daily_usage * 14)
) as recommended_order_quantity
FROM usage_analysis
WHERE current_stock <= reorder_point
ORDER BY days_of_stock ASC, current_stock ASC
LIMIT 50
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get reorder recommendations", error=str(e), tenant_id=str(tenant_id))
raise
async def get_active_tenant_ids(self) -> List[UUID]:
"""
Get list of active tenant IDs from ingredients table
"""
try:
query = text("SELECT DISTINCT tenant_id FROM ingredients WHERE is_active = true")
result = await self.session.execute(query)
tenant_ids = []
for row in result.fetchall():
tenant_id = row.tenant_id
# Convert to UUID if it's not already
if isinstance(tenant_id, UUID):
tenant_ids.append(tenant_id)
else:
tenant_ids.append(UUID(str(tenant_id)))
return tenant_ids
except Exception as e:
logger.error("Failed to get active tenant IDs", error=str(e))
raise
async def get_stock_after_order(self, ingredient_id: str, order_quantity: float) -> Dict[str, Any]:
"""
Get stock information after hypothetical order
"""
try:
query = text("""
SELECT i.id, i.name,
COALESCE(SUM(s.current_quantity), 0) as current_stock,
i.low_stock_threshold as minimum_stock,
(COALESCE(SUM(s.current_quantity), 0) - :order_quantity) as remaining
FROM ingredients i
LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
WHERE i.id = :ingredient_id
GROUP BY i.id, i.name, i.low_stock_threshold
""")
result = await self.session.execute(query, {
"ingredient_id": ingredient_id,
"order_quantity": order_quantity
})
row = result.fetchone()
return dict(row._mapping) if row else None
except Exception as e:
logger.error("Failed to get stock after order", error=str(e), ingredient_id=ingredient_id)
raise

172
services/inventory/app/repositories/stock_repository.py
View File

@@ -746,3 +746,175 @@ class StockRepository(BaseRepository[Stock, StockCreate, StockUpdate], BatchCoun
stock_id=str(stock_id),
tenant_id=str(tenant_id))
raise
async def get_expiring_products(self, tenant_id: UUID, days_threshold: int = 7) -> List[Dict[str, Any]]:
"""
Get products expiring soon or already expired
"""
try:
from sqlalchemy import text
query = text("""
SELECT
i.id as ingredient_id,
i.name as ingredient_name,
s.id as stock_id,
s.batch_number,
s.expiration_date,
s.current_quantity,
i.unit_of_measure,
s.unit_cost,
(s.current_quantity * s.unit_cost) as total_value,
CASE
WHEN s.expiration_date < CURRENT_DATE THEN 'expired'
WHEN s.expiration_date <= CURRENT_DATE + INTERVAL '1 day' THEN 'expires_today'
WHEN s.expiration_date <= CURRENT_DATE + INTERVAL '3 days' THEN 'expires_soon'
ELSE 'warning'
END as urgency,
EXTRACT(DAY FROM (s.expiration_date - CURRENT_DATE)) as days_until_expiry
FROM stock s
JOIN ingredients i ON s.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
AND s.is_available = true
AND s.expiration_date <= CURRENT_DATE + (INTERVAL '1 day' * :days_threshold)
ORDER BY s.expiration_date ASC, total_value DESC
""")
result = await self.session.execute(query, {
"tenant_id": tenant_id,
"days_threshold": days_threshold
})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get expiring products", error=str(e), tenant_id=str(tenant_id))
raise
async def get_temperature_breaches(self, tenant_id: UUID, hours_back: int = 24) -> List[Dict[str, Any]]:
"""
Get temperature monitoring breaches
"""
try:
from sqlalchemy import text
query = text("""
SELECT
tl.id,
tl.equipment_id,
tl.equipment_name,
tl.storage_type,
tl.temperature_celsius,
tl.min_threshold,
tl.max_threshold,
tl.is_within_range,
tl.recorded_at,
tl.alert_triggered,
EXTRACT(EPOCH FROM (NOW() - tl.recorded_at))/3600 as hours_ago,
CASE
WHEN tl.temperature_celsius < tl.min_threshold
THEN tl.min_threshold - tl.temperature_celsius
WHEN tl.temperature_celsius > tl.max_threshold
THEN tl.temperature_celsius - tl.max_threshold
ELSE 0
END as deviation
FROM temperature_logs tl
WHERE tl.tenant_id = :tenant_id
AND tl.is_within_range = false
AND tl.recorded_at > NOW() - (INTERVAL '1 hour' * :hours_back)
AND tl.alert_triggered = false
ORDER BY deviation DESC, tl.recorded_at DESC
""")
result = await self.session.execute(query, {
"tenant_id": tenant_id,
"hours_back": hours_back
})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get temperature breaches", error=str(e), tenant_id=str(tenant_id))
raise
async def get_waste_opportunities(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Identify waste reduction opportunities
"""
try:
from sqlalchemy import text
query = text("""
WITH waste_analysis AS (
SELECT
i.id as ingredient_id,
i.name as ingredient_name,
i.ingredient_category,
COUNT(sm.id) as waste_incidents,
SUM(sm.quantity) as total_waste_quantity,
SUM(sm.total_cost) as total_waste_cost,
AVG(sm.quantity) as avg_waste_per_incident,
MAX(sm.movement_date) as last_waste_date
FROM stock_movements sm
JOIN ingredients i ON sm.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
AND sm.movement_type = 'WASTE'
AND sm.movement_date > NOW() - INTERVAL '30 days'
GROUP BY i.id, i.name, i.ingredient_category
HAVING COUNT(sm.id) >= 3 OR SUM(sm.total_cost) > 50
)
SELECT * FROM waste_analysis
ORDER BY total_waste_cost DESC, waste_incidents DESC
LIMIT 20
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get waste opportunities", error=str(e), tenant_id=str(tenant_id))
raise
async def get_reorder_recommendations(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get ingredients that need reordering based on stock levels and usage
"""
try:
from sqlalchemy import text
query = text("""
WITH usage_analysis AS (
SELECT
i.id,
i.name,
COALESCE(SUM(s.current_quantity), 0) as current_stock,
i.reorder_point,
i.low_stock_threshold,
COALESCE(SUM(sm.quantity) FILTER (WHERE sm.movement_date > NOW() - INTERVAL '7 days'), 0) / 7 as daily_usage,
i.preferred_supplier_id,
i.standard_order_quantity
FROM ingredients i
LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
LEFT JOIN stock_movements sm ON sm.ingredient_id = i.id
AND sm.movement_type = 'PRODUCTION_USE'
AND sm.movement_date > NOW() - INTERVAL '7 days'
WHERE i.tenant_id = :tenant_id
AND i.is_active = true
GROUP BY i.id, i.name, i.reorder_point, i.low_stock_threshold,
i.preferred_supplier_id, i.standard_order_quantity
)
SELECT *,
CASE
WHEN daily_usage > 0 THEN FLOOR(current_stock / NULLIF(daily_usage, 0))
ELSE 999
END as days_of_stock,
GREATEST(
standard_order_quantity,
CEIL(daily_usage * 14)
) as recommended_order_quantity
FROM usage_analysis
WHERE current_stock <= reorder_point
ORDER BY days_of_stock ASC, current_stock ASC
LIMIT 50
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get reorder recommendations", error=str(e), tenant_id=str(tenant_id))
raise

21
services/inventory/app/services/inventory_alert_service.py
View File

@@ -12,7 +12,6 @@ from datetime import datetime
import structlog
from shared.messaging import UnifiedEventPublisher, EVENT_TYPES
from app.repositories.inventory_alert_repository import InventoryAlertRepository
logger = structlog.get_logger()
@@ -188,10 +187,9 @@ class InventoryAlertService:
await self.publisher.publish_alert(
tenant_id=tenant_id,
event_type="expired_products",
event_domain="inventory",
event_type="inventory.expired_products",
severity="urgent",
metadata=metadata
data=metadata
)
logger.info(
@@ -222,10 +220,9 @@ class InventoryAlertService:
await self.publisher.publish_alert(
tenant_id=tenant_id,
event_type="urgent_expiry",
event_domain="inventory",
event_type="inventory.urgent_expiry",
severity="high",
metadata=metadata
data=metadata
)
logger.info(
@@ -256,10 +253,9 @@ class InventoryAlertService:
await self.publisher.publish_alert(
tenant_id=tenant_id,
event_type="overstock_warning",
event_domain="inventory",
event_type="inventory.overstock_warning",
severity="medium",
metadata=metadata
data=metadata
)
logger.info(
@@ -287,10 +283,9 @@ class InventoryAlertService:
await self.publisher.publish_alert(
tenant_id=tenant_id,
event_type="expired_batches_auto_processed",
event_domain="inventory",
event_type="inventory.expired_batches_auto_processed",
severity="medium",
metadata=metadata
data=metadata
)
logger.info(

1046
services/inventory/app/services/inventory_scheduler.py Normal file
View File

File diff suppressed because it is too large Load Diff

8
services/inventory/app/services/sustainability_service.py
View File

@@ -16,7 +16,7 @@ from sqlalchemy import text
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.config import settings
from app.repositories.stock_movement_repository import StockMovementRepository
from app.repositories.inventory_alert_repository import InventoryAlertRepository
from app.repositories.food_safety_repository import FoodSafetyRepository
from shared.clients.production_client import create_production_client
logger = structlog.get_logger()
@@ -320,9 +320,9 @@ class SustainabilityService:
'damaged_inventory': inventory_waste * 0.3, # Estimate: 30% damaged
}
# Get waste incidents from inventory alert repository
alert_repo = InventoryAlertRepository(db)
waste_opportunities = await alert_repo.get_waste_opportunities(tenant_id)
# Get waste incidents from food safety repository
food_safety_repo = FoodSafetyRepository(db)
waste_opportunities = await food_safety_repo.get_waste_opportunities(tenant_id)
# Sum up all waste incidents for the period
total_waste_incidents = sum(item['waste_incidents'] for item in waste_opportunities) if waste_opportunities else 0

330
services/inventory/scripts/demo/seed_demo_inventory.py
View File

@@ -1,330 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Demo Inventory Seeding Script for Inventory Service
Creates realistic Spanish ingredients for demo template tenants
This script runs as a Kubernetes init job inside the inventory-service container.
It populates the template tenants with a comprehensive catalog of ingredients.
Usage:
python /app/scripts/demo/seed_demo_inventory.py
Environment Variables Required:
INVENTORY_DATABASE_URL - PostgreSQL connection string for inventory database
DEMO_MODE - Set to 'production' for production seeding
LOG_LEVEL - Logging level (default: INFO)
"""
import asyncio
import uuid
import sys
import os
import json
from datetime import datetime, timezone
from pathlib import Path
# Add app to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import select
import structlog
from app.models.inventory import Ingredient
# Configure logging
structlog.configure(
processors=[
structlog.stdlib.add_log_level,
structlog.processors.TimeStamper(fmt="iso"),
structlog.dev.ConsoleRenderer()
]
)
logger = structlog.get_logger()
# Fixed Demo Tenant IDs (must match tenant service)
DEMO_TENANT_PROFESSIONAL = uuid.UUID("a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6")
DEMO_TENANT_ENTERPRISE_CHAIN = uuid.UUID("c3d4e5f6-a7b8-49c0-d1e2-f3a4b5c6d7e8") # Enterprise parent (Obrador)
def load_ingredients_data():
"""Load ingredients data from JSON file"""
# Look for data file in the same directory as this script
data_file = Path(__file__).parent / "ingredientes_es.json"
if not data_file.exists():
raise FileNotFoundError(
f"Ingredients data file not found: {data_file}. "
"Make sure ingredientes_es.json is in the same directory as this script."
)
logger.info("Loading ingredients data", file=str(data_file))
with open(data_file, 'r', encoding='utf-8') as f:
data = json.load(f)
# Flatten all ingredient categories into a single list
all_ingredients = []
for category_name, ingredients in data.items():
logger.debug(f"Loading category: {category_name} ({len(ingredients)} items)")
all_ingredients.extend(ingredients)
logger.info(f"Loaded {len(all_ingredients)} ingredients from JSON")
return all_ingredients
async def seed_ingredients_for_tenant(
db: AsyncSession,
tenant_id: uuid.UUID,
tenant_name: str,
ingredients_data: list
) -> dict:
"""
Seed ingredients for a specific tenant using pre-defined UUIDs
Args:
db: Database session
tenant_id: UUID of the tenant
tenant_name: Name of the tenant (for logging)
ingredients_data: List of ingredient dictionaries with pre-defined IDs
Returns:
Dict with seeding statistics
"""
logger.info("─" * 80)
logger.info(f"Seeding ingredients for: {tenant_name}")
logger.info(f"Tenant ID: {tenant_id}")
logger.info("─" * 80)
created_count = 0
updated_count = 0
skipped_count = 0
for ing_data in ingredients_data:
sku = ing_data["sku"]
name = ing_data["name"]
# Check if ingredient already exists for this tenant with this SKU
result = await db.execute(
select(Ingredient).where(
Ingredient.tenant_id == tenant_id,
Ingredient.sku == sku
)
)
existing_ingredient = result.scalars().first()
if existing_ingredient:
logger.debug(f" ⏭️ Skipping (exists): {sku} - {name}")
skipped_count += 1
continue
# Generate tenant-specific UUID by combining base UUID with tenant ID
# This ensures each tenant has unique IDs but they're deterministic (same on re-run)
base_id = uuid.UUID(ing_data["id"])
# XOR the base ID with the tenant ID to create a tenant-specific ID
tenant_int = int(tenant_id.hex, 16)
base_int = int(base_id.hex, 16)
ingredient_id = uuid.UUID(int=tenant_int ^ base_int)
# Create new ingredient
ingredient = Ingredient(
id=ingredient_id,
tenant_id=tenant_id,
name=name,
sku=sku,
barcode=None, # Could generate EAN-13 barcodes if needed
product_type=ing_data["product_type"],
ingredient_category=ing_data["ingredient_category"],
product_category=ing_data["product_category"],
subcategory=ing_data.get("subcategory"),
description=ing_data["description"],
brand=ing_data.get("brand"),
unit_of_measure=ing_data["unit_of_measure"],
package_size=None,
average_cost=ing_data["average_cost"],
last_purchase_price=ing_data["average_cost"],
standard_cost=ing_data["average_cost"],
low_stock_threshold=ing_data.get("low_stock_threshold", 10.0),
reorder_point=ing_data.get("reorder_point", 20.0),
reorder_quantity=ing_data.get("reorder_point", 20.0) * 2,
max_stock_level=ing_data.get("reorder_point", 20.0) * 5,
shelf_life_days=ing_data.get("shelf_life_days"),
is_perishable=ing_data.get("is_perishable", False),
is_active=True,
allergen_info=ing_data.get("allergen_info") if ing_data.get("allergen_info") else None,
# NEW: Local production support (Sprint 5)
produced_locally=ing_data.get("produced_locally", False),
recipe_id=uuid.UUID(ing_data["recipe_id"]) if ing_data.get("recipe_id") else None,
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc)
)
db.add(ingredient)
created_count += 1
logger.debug(f" ✅ Created: {sku} - {name}")
# Commit all changes for this tenant
await db.commit()
logger.info(f" 📊 Created: {created_count}, Skipped: {skipped_count}")
logger.info("")
return {
"tenant_id": str(tenant_id),
"tenant_name": tenant_name,
"created": created_count,
"skipped": skipped_count,
"total": len(ingredients_data)
}
async def seed_inventory(db: AsyncSession):
"""
Seed inventory for all demo template tenants
Args:
db: Database session
Returns:
Dict with overall seeding statistics
"""
logger.info("=" * 80)
logger.info("📦 Starting Demo Inventory Seeding")
logger.info("=" * 80)
# Load ingredients data once
try:
ingredients_data = load_ingredients_data()
except FileNotFoundError as e:
logger.error(str(e))
raise
results = []
# Seed for Professional Bakery (single location)
logger.info("")
result_professional = await seed_ingredients_for_tenant(
db,
DEMO_TENANT_PROFESSIONAL,
"Panadería Artesana Madrid (Professional)",
ingredients_data
)
results.append(result_professional)
# Seed for Enterprise Parent (central production - Obrador)
logger.info("")
result_enterprise_parent = await seed_ingredients_for_tenant(
db,
DEMO_TENANT_ENTERPRISE_CHAIN,
"Panadería Central - Obrador Madrid (Enterprise Parent)",
ingredients_data
)
results.append(result_enterprise_parent)
# Calculate totals
total_created = sum(r["created"] for r in results)
total_skipped = sum(r["skipped"] for r in results)
logger.info("=" * 80)
logger.info("✅ Demo Inventory Seeding Completed")
logger.info("=" * 80)
return {
"service": "inventory",
"tenants_seeded": len(results),
"total_created": total_created,
"total_skipped": total_skipped,
"results": results
}
async def main():
"""Main execution function"""
logger.info("Demo Inventory Seeding Script Starting")
logger.info("Mode: %s", os.getenv("DEMO_MODE", "development"))
logger.info("Log Level: %s", os.getenv("LOG_LEVEL", "INFO"))
# Get database URL from environment
database_url = os.getenv("INVENTORY_DATABASE_URL") or os.getenv("DATABASE_URL")
if not database_url:
logger.error("❌ INVENTORY_DATABASE_URL or DATABASE_URL environment variable must be set")
return 1
# Convert to async URL if needed
if database_url.startswith("postgresql://"):
database_url = database_url.replace("postgresql://", "postgresql+asyncpg://", 1)
logger.info("Connecting to inventory database")
# Create engine and session
engine = create_async_engine(
database_url,
echo=False,
pool_pre_ping=True,
pool_size=5,
max_overflow=10
)
async_session = sessionmaker(
engine,
class_=AsyncSession,
expire_on_commit=False
)
try:
async with async_session() as session:
result = await seed_inventory(session)
logger.info("")
logger.info("📊 Seeding Summary:")
logger.info(f" ✅ Tenants seeded: {result['tenants_seeded']}")
logger.info(f" ✅ Total created: {result['total_created']}")
logger.info(f" ⏭️ Total skipped: {result['total_skipped']}")
logger.info("")
# Print per-tenant details
for tenant_result in result['results']:
logger.info(
f" {tenant_result['tenant_name']}: "
f"{tenant_result['created']} created, {tenant_result['skipped']} skipped"
)
logger.info("")
logger.info("🎉 Success! Ingredient catalog is ready for cloning.")
logger.info("")
logger.info("Ingredients by category:")
logger.info(" • Harinas: 6 tipos (T55, T65, Fuerza, Integral, Centeno, Espelta)")
logger.info(" • Lácteos: 4 tipos (Mantequilla, Leche, Nata, Huevos)")
logger.info(" • Levaduras: 3 tipos (Fresca, Seca, Masa Madre)")
logger.info(" • Básicos: 3 tipos (Sal, Azúcar, Agua)")
logger.info(" • Especiales: 5 tipos (Chocolate, Almendras, etc.)")
logger.info(" • Productos: 3 referencias")
logger.info("")
logger.info("Next steps:")
logger.info(" 1. Run seed jobs for other services (recipes, suppliers, etc.)")
logger.info(" 2. Verify ingredient data in database")
logger.info(" 3. Test demo session creation with inventory cloning")
logger.info("")
return 0
except Exception as e:
logger.error("=" * 80)
logger.error("❌ Demo Inventory Seeding Failed")
logger.error("=" * 80)
logger.error("Error: %s", str(e))
logger.error("", exc_info=True)
return 1
finally:
await engine.dispose()
if __name__ == "__main__":
exit_code = asyncio.run(main())
sys.exit(exit_code)

347
services/inventory/scripts/demo/seed_demo_inventory_retail.py
View File

@@ -1,347 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Demo Inventory Retail Seeding Script for Inventory Service
Creates finished product inventory for enterprise child tenants (retail outlets)
This script runs as a Kubernetes init job inside the inventory-service container.
It populates the child retail tenants with FINISHED PRODUCTS ONLY (no raw ingredients).
Usage:
python /app/scripts/demo/seed_demo_inventory_retail.py
Environment Variables Required:
INVENTORY_DATABASE_URL - PostgreSQL connection string for inventory database
DEMO_MODE - Set to 'production' for production seeding
LOG_LEVEL - Logging level (default: INFO)
"""
import asyncio
import uuid
import sys
import os
import json
from datetime import datetime, timezone
from pathlib import Path
# Add app to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
# Add shared to path for demo utilities
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent))
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import select
import structlog
from shared.utils.demo_dates import BASE_REFERENCE_DATE
from app.models.inventory import Ingredient, ProductType
# Configure logging
structlog.configure(
processors=[
structlog.stdlib.add_log_level,
structlog.processors.TimeStamper(fmt="iso"),
structlog.dev.ConsoleRenderer()
]
)
logger = structlog.get_logger()
# Fixed Demo Tenant IDs (must match tenant service)
DEMO_TENANT_ENTERPRISE_CHAIN = uuid.UUID("c3d4e5f6-a7b8-49c0-d1e2-f3a4b5c6d7e8") # Enterprise parent (Obrador)
DEMO_TENANT_CHILD_1 = uuid.UUID("d4e5f6a7-b8c9-40d1-e2f3-a4b5c6d7e8f9") # Madrid Centro
DEMO_TENANT_CHILD_2 = uuid.UUID("e5f6a7b8-c9d0-41e2-f3a4-b5c6d7e8f9a0") # Barcelona Gràcia
DEMO_TENANT_CHILD_3 = uuid.UUID("f6a7b8c9-d0e1-42f3-a4b5-c6d7e8f9a0b1") # Valencia Ruzafa
# Child tenant configurations
CHILD_TENANTS = [
(DEMO_TENANT_CHILD_1, "Madrid Centro"),
(DEMO_TENANT_CHILD_2, "Barcelona Gràcia"),
(DEMO_TENANT_CHILD_3, "Valencia Ruzafa")
]
def load_finished_products_data():
"""Load ONLY finished products from JSON file (no raw ingredients)"""
# Look for data file in the same directory as this script
data_file = Path(__file__).parent / "ingredientes_es.json"
if not data_file.exists():
raise FileNotFoundError(
f"Ingredients data file not found: {data_file}. "
"Make sure ingredientes_es.json is in the same directory as this script."
)
logger.info("Loading finished products data", file=str(data_file))
with open(data_file, 'r', encoding='utf-8') as f:
data = json.load(f)
# Extract ONLY finished products (not raw ingredients)
finished_products = data.get("productos_terminados", [])
logger.info(f"Loaded {len(finished_products)} finished products from JSON")
logger.info("NOTE: Raw ingredients (flour, yeast, etc.) are NOT seeded for retail outlets")
return finished_products
async def seed_retail_inventory_for_tenant(
db: AsyncSession,
tenant_id: uuid.UUID,
parent_tenant_id: uuid.UUID,
tenant_name: str,
products_data: list
) -> dict:
"""
Seed finished product inventory for a child retail tenant using XOR ID transformation
This ensures retail outlets have the same product catalog as their parent (central production),
using deterministic UUIDs that map correctly across tenants.
Args:
db: Database session
tenant_id: UUID of the child tenant
parent_tenant_id: UUID of the parent tenant (for XOR transformation)
tenant_name: Name of the tenant (for logging)
products_data: List of finished product dictionaries with pre-defined IDs
Returns:
Dict with seeding statistics
"""
logger.info("─" * 80)
logger.info(f"Seeding retail inventory for: {tenant_name}")
logger.info(f"Child Tenant ID: {tenant_id}")
logger.info(f"Parent Tenant ID: {parent_tenant_id}")
logger.info("─" * 80)
created_count = 0
skipped_count = 0
for product_data in products_data:
sku = product_data["sku"]
name = product_data["name"]
# Check if product already exists for this tenant with this SKU
result = await db.execute(
select(Ingredient).where(
Ingredient.tenant_id == tenant_id,
Ingredient.sku == sku
)
)
existing_product = result.scalars().first()
if existing_product:
logger.debug(f" ⏭️ Skipping (exists): {sku} - {name}")
skipped_count += 1
continue
# Generate tenant-specific UUID using XOR transformation
# This ensures the child's product IDs map to the parent's product IDs
base_id = uuid.UUID(product_data["id"])
tenant_int = int(tenant_id.hex, 16)
base_int = int(base_id.hex, 16)
product_id = uuid.UUID(int=tenant_int ^ base_int)
# Create new finished product for retail outlet
product = Ingredient(
id=product_id,
tenant_id=tenant_id,
name=name,
sku=sku,
barcode=None, # Could be set by retail outlet
product_type=ProductType.FINISHED_PRODUCT, # CRITICAL: Only finished products
ingredient_category=None, # Not applicable for finished products
product_category=product_data["product_category"], # BREAD, CROISSANTS, PASTRIES, etc.
subcategory=product_data.get("subcategory"),
description=product_data["description"],
brand=f"Obrador Madrid", # Branded from central production
unit_of_measure=product_data["unit_of_measure"],
package_size=None,
average_cost=product_data["average_cost"], # Transfer price from central production
last_purchase_price=product_data["average_cost"],
standard_cost=product_data["average_cost"],
# Retail outlets typically don't manage reorder points - they order from parent
low_stock_threshold=None,
reorder_point=None,
reorder_quantity=None,
max_stock_level=None,
shelf_life_days=product_data.get("shelf_life_days"),
is_perishable=product_data.get("is_perishable", True), # Bakery products are perishable
is_active=True,
allergen_info=product_data.get("allergen_info") if product_data.get("allergen_info") else None,
# Retail outlets receive products, don't produce them locally
produced_locally=False,
recipe_id=None, # Recipes belong to central production, not retail
created_at=BASE_REFERENCE_DATE,
updated_at=BASE_REFERENCE_DATE
)
db.add(product)
created_count += 1
logger.debug(f" ✅ Created: {sku} - {name}")
# Commit all changes for this tenant
await db.commit()
logger.info(f" 📊 Created: {created_count}, Skipped: {skipped_count}")
logger.info("")
return {
"tenant_id": str(tenant_id),
"tenant_name": tenant_name,
"created": created_count,
"skipped": skipped_count,
"total": len(products_data)
}
async def seed_retail_inventory(db: AsyncSession):
"""
Seed retail inventory for all child tenant templates
Args:
db: Database session
Returns:
Dict with overall seeding statistics
"""
logger.info("=" * 80)
logger.info("🏪 Starting Demo Retail Inventory Seeding")
logger.info("=" * 80)
logger.info("NOTE: Seeding FINISHED PRODUCTS ONLY for child retail outlets")
logger.info("Raw ingredients (flour, yeast, etc.) are NOT seeded for retail tenants")
logger.info("")
# Load finished products data once
try:
products_data = load_finished_products_data()
except FileNotFoundError as e:
logger.error(str(e))
raise
results = []
# Seed for each child retail outlet
for child_tenant_id, child_tenant_name in CHILD_TENANTS:
logger.info("")
result = await seed_retail_inventory_for_tenant(
db,
child_tenant_id,
DEMO_TENANT_ENTERPRISE_CHAIN,
f"{child_tenant_name} (Retail Outlet)",
products_data
)
results.append(result)
# Calculate totals
total_created = sum(r["created"] for r in results)
total_skipped = sum(r["skipped"] for r in results)
logger.info("=" * 80)
logger.info("✅ Demo Retail Inventory Seeding Completed")
logger.info("=" * 80)
return {
"service": "inventory_retail",
"tenants_seeded": len(results),
"total_created": total_created,
"total_skipped": total_skipped,
"results": results
}
async def main():
"""Main execution function"""
logger.info("Demo Retail Inventory Seeding Script Starting")
logger.info("Mode: %s", os.getenv("DEMO_MODE", "development"))
logger.info("Log Level: %s", os.getenv("LOG_LEVEL", "INFO"))
# Get database URL from environment
database_url = os.getenv("INVENTORY_DATABASE_URL") or os.getenv("DATABASE_URL")
if not database_url:
logger.error("❌ INVENTORY_DATABASE_URL or DATABASE_URL environment variable must be set")
return 1
# Convert to async URL if needed
if database_url.startswith("postgresql://"):
database_url = database_url.replace("postgresql://", "postgresql+asyncpg://", 1)
logger.info("Connecting to inventory database")
# Create engine and session
engine = create_async_engine(
database_url,
echo=False,
pool_pre_ping=True,
pool_size=5,
max_overflow=10
)
async_session = sessionmaker(
engine,
class_=AsyncSession,
expire_on_commit=False
)
try:
async with async_session() as session:
result = await seed_retail_inventory(session)
logger.info("")
logger.info("📊 Retail Inventory Seeding Summary:")
logger.info(f" ✅ Retail outlets seeded: {result['tenants_seeded']}")
logger.info(f" ✅ Total products created: {result['total_created']}")
logger.info(f" ⏭️ Total skipped: {result['total_skipped']}")
logger.info("")
# Print per-tenant details
for tenant_result in result['results']:
logger.info(
f" {tenant_result['tenant_name']}: "
f"{tenant_result['created']} products created, {tenant_result['skipped']} skipped"
)
logger.info("")
logger.info("🎉 Success! Retail inventory catalog is ready for cloning.")
logger.info("")
logger.info("Finished products seeded:")
logger.info(" • Baguette Tradicional")
logger.info(" • Croissant de Mantequilla")
logger.info(" • Pan de Pueblo")
logger.info(" • Napolitana de Chocolate")
logger.info("")
logger.info("Key points:")
logger.info(" ✓ Only finished products seeded (no raw ingredients)")
logger.info(" ✓ Product IDs use XOR transformation to match parent catalog")
logger.info(" ✓ All products marked as produced_locally=False (received from parent)")
logger.info(" ✓ Retail outlets will receive stock from central production via distribution")
logger.info("")
logger.info("Next steps:")
logger.info(" 1. Seed retail stock levels (initial inventory)")
logger.info(" 2. Seed retail sales history")
logger.info(" 3. Seed customer data and orders")
logger.info(" 4. Test enterprise demo session creation")
logger.info("")
return 0
except Exception as e:
logger.error("=" * 80)
logger.error("❌ Demo Retail Inventory Seeding Failed")
logger.error("=" * 80)
logger.error("Error: %s", str(e))
logger.error("", exc_info=True)
return 1
finally:
await engine.dispose()
if __name__ == "__main__":
exit_code = asyncio.run(main())
sys.exit(exit_code)

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services/inventory/scripts/demo/seed_demo_stock.py
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services/inventory/scripts/demo/seed_demo_stock_retail.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Demo Retail Stock Seeding Script for Inventory Service
Creates realistic stock levels for finished products at child retail outlets
This script runs as a Kubernetes init job inside the inventory-service container.
It populates child retail tenants with stock levels for FINISHED PRODUCTS ONLY.
Usage:
python /app/scripts/demo/seed_demo_stock_retail.py
Environment Variables Required:
INVENTORY_DATABASE_URL - PostgreSQL connection string for inventory database
DEMO_MODE - Set to 'production' for production seeding
LOG_LEVEL - Logging level (default: INFO)
"""
import asyncio
import uuid
import sys
import os
import random
from datetime import datetime, timezone, timedelta
from pathlib import Path
from decimal import Decimal
# Add app to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
# Add shared to path for demo utilities
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent))
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import select
import structlog
from shared.utils.demo_dates import BASE_REFERENCE_DATE
from app.models.inventory import Ingredient, Stock, ProductType
# Configure logging
structlog.configure(
processors=[
structlog.stdlib.add_log_level,
structlog.processors.TimeStamper(fmt="iso"),
structlog.dev.ConsoleRenderer()
]
)
logger = structlog.get_logger()
# Fixed Demo Tenant IDs (must match tenant service)
DEMO_TENANT_ENTERPRISE_CHAIN = uuid.UUID("c3d4e5f6-a7b8-49c0-d1e2-f3a4b5c6d7e8") # Enterprise parent (Obrador)
DEMO_TENANT_CHILD_1 = uuid.UUID("d4e5f6a7-b8c9-40d1-e2f3-a4b5c6d7e8f9") # Madrid Centro
DEMO_TENANT_CHILD_2 = uuid.UUID("e5f6a7b8-c9d0-41e2-f3a4-b5c6d7e8f9a0") # Barcelona Gràcia
DEMO_TENANT_CHILD_3 = uuid.UUID("f6a7b8c9-d0e1-42f3-a4b5-c6d7e8f9a0b1") # Valencia Ruzafa
# Child tenant configurations
CHILD_TENANTS = [
(DEMO_TENANT_CHILD_1, "Madrid Centro", 1.2), # Larger store, 20% more stock
(DEMO_TENANT_CHILD_2, "Barcelona Gràcia", 1.0), # Medium store, baseline stock
(DEMO_TENANT_CHILD_3, "Valencia Ruzafa", 0.8) # Smaller store, 20% less stock
]
# Retail stock configuration for finished products
# Daily sales estimates (units per day) for each product type
DAILY_SALES_BY_SKU = {
"PRO-BAG-001": 80, # Baguette Tradicional - high volume
"PRO-CRO-001": 50, # Croissant de Mantequilla - popular breakfast item
"PRO-PUE-001": 30, # Pan de Pueblo - specialty item
"PRO-NAP-001": 40 # Napolitana de Chocolate - pastry item
}
# Storage locations for retail outlets
RETAIL_STORAGE_LOCATIONS = ["Display Case", "Back Room", "Cooling Shelf", "Storage Area"]
def generate_retail_batch_number(tenant_id: uuid.UUID, product_sku: str, days_ago: int) -> str:
"""Generate a realistic batch number for retail stock"""
tenant_short = str(tenant_id).split('-')[0].upper()[:4]
date_code = (BASE_REFERENCE_DATE - timedelta(days=days_ago)).strftime("%Y%m%d")
return f"RET-{tenant_short}-{product_sku}-{date_code}"
def calculate_retail_stock_quantity(
product_sku: str,
size_multiplier: float,
create_some_low_stock: bool = False
) -> float:
"""
Calculate realistic retail stock quantity based on daily sales
Args:
product_sku: SKU of the finished product
size_multiplier: Store size multiplier (0.8 for small, 1.0 for medium, 1.2 for large)
create_some_low_stock: If True, 20% chance of low stock scenario
Returns:
Stock quantity in units
"""
daily_sales = DAILY_SALES_BY_SKU.get(product_sku, 20)
# Retail outlets typically stock 1-3 days worth (fresh bakery products)
if create_some_low_stock and random.random() < 0.2:
# Low stock: 0.3-0.8 days worth (need restock soon)
days_of_supply = random.uniform(0.3, 0.8)
else:
# Normal: 1-2.5 days worth
days_of_supply = random.uniform(1.0, 2.5)
quantity = daily_sales * days_of_supply * size_multiplier
# Add realistic variability
quantity *= random.uniform(0.85, 1.15)
return max(5.0, round(quantity)) # Minimum 5 units
async def seed_retail_stock_for_tenant(
db: AsyncSession,
tenant_id: uuid.UUID,
tenant_name: str,
size_multiplier: float
) -> dict:
"""
Seed realistic stock levels for a child retail tenant
Creates multiple stock batches per product with varied freshness levels,
simulating realistic retail bakery inventory with:
- Fresh stock from today's/yesterday's delivery
- Some expiring soon items
- Varied batch sizes and locations
Args:
db: Database session
tenant_id: UUID of the child tenant
tenant_name: Name of the tenant (for logging)
size_multiplier: Store size multiplier for stock quantities
Returns:
Dict with seeding statistics
"""
logger.info("─" * 80)
logger.info(f"Seeding retail stock for: {tenant_name}")
logger.info(f"Tenant ID: {tenant_id}")
logger.info(f"Size Multiplier: {size_multiplier}x")
logger.info("─" * 80)
# Get all finished products for this tenant
result = await db.execute(
select(Ingredient).where(
Ingredient.tenant_id == tenant_id,
Ingredient.product_type == ProductType.FINISHED_PRODUCT,
Ingredient.is_active == True
)
)
products = result.scalars().all()
if not products:
logger.warning(f"No finished products found for tenant {tenant_id}")
return {
"tenant_id": str(tenant_id),
"tenant_name": tenant_name,
"stock_batches_created": 0,
"products_stocked": 0
}
created_batches = 0
for product in products:
# Create 2-4 batches per product (simulating multiple deliveries/batches)
num_batches = random.randint(2, 4)
for batch_index in range(num_batches):
# Vary delivery dates (0-2 days ago for fresh bakery products)
days_ago = random.randint(0, 2)
received_date = BASE_REFERENCE_DATE - timedelta(days=days_ago)
# Calculate expiration based on shelf life
shelf_life_days = product.shelf_life_days or 2 # Default 2 days for bakery
expiration_date = received_date + timedelta(days=shelf_life_days)
# Calculate quantity for this batch
# Split total quantity across batches with variation
batch_quantity_factor = random.uniform(0.3, 0.7) # Each batch is 30-70% of average
quantity = calculate_retail_stock_quantity(
product.sku,
size_multiplier,
create_some_low_stock=(batch_index == 0) # First batch might be low
) * batch_quantity_factor
# Determine if product is still good
days_until_expiration = (expiration_date - BASE_REFERENCE_DATE).days
is_expired = days_until_expiration < 0
is_available = not is_expired
quality_status = "expired" if is_expired else "good"
# Random storage location
storage_location = random.choice(RETAIL_STORAGE_LOCATIONS)
# Create stock batch
stock_batch = Stock(
id=uuid.uuid4(),
tenant_id=tenant_id,
ingredient_id=product.id,
supplier_id=DEMO_TENANT_ENTERPRISE_CHAIN, # Supplied by parent (Obrador)
batch_number=generate_retail_batch_number(tenant_id, product.sku, days_ago),
lot_number=f"LOT-{BASE_REFERENCE_DATE.strftime('%Y%m%d')}-{batch_index+1:02d}",
supplier_batch_ref=f"OBRADOR-{received_date.strftime('%Y%m%d')}-{random.randint(1000, 9999)}",
production_stage="fully_baked", # Retail receives fully baked products
transformation_reference=None,
current_quantity=quantity,
reserved_quantity=0.0,
available_quantity=quantity if is_available else 0.0,
received_date=received_date,
expiration_date=expiration_date,
best_before_date=expiration_date - timedelta(hours=12) if shelf_life_days == 1 else None,
original_expiration_date=None,
transformation_date=None,
final_expiration_date=expiration_date,
unit_cost=Decimal(str(product.average_cost or 0.5)),
total_cost=Decimal(str(product.average_cost or 0.5)) * Decimal(str(quantity)),
storage_location=storage_location,
warehouse_zone=None, # Retail outlets don't have warehouse zones
shelf_position=None,
requires_refrigeration=False, # Most bakery products don't require refrigeration
requires_freezing=False,
storage_temperature_min=None,
storage_temperature_max=25.0 if product.is_perishable else None, # Room temp
storage_humidity_max=65.0 if product.is_perishable else None,
shelf_life_days=shelf_life_days,
storage_instructions=product.storage_instructions if hasattr(product, 'storage_instructions') else None,
is_available=is_available,
is_expired=is_expired,
quality_status=quality_status,
created_at=received_date,
updated_at=BASE_REFERENCE_DATE
)
db.add(stock_batch)
created_batches += 1
logger.debug(
f" ✅ Created stock batch: {product.name} - "
f"{quantity:.0f} units, expires in {days_until_expiration} days"
)
# Commit all changes for this tenant
await db.commit()
logger.info(f" 📊 Stock batches created: {created_batches} across {len(products)} products")
logger.info("")
return {
"tenant_id": str(tenant_id),
"tenant_name": tenant_name,
"stock_batches_created": created_batches,
"products_stocked": len(products)
}
async def seed_retail_stock(db: AsyncSession):
"""
Seed retail stock for all child tenant templates
Args:
db: Database session
Returns:
Dict with overall seeding statistics
"""
logger.info("=" * 80)
logger.info("📦 Starting Demo Retail Stock Seeding")
logger.info("=" * 80)
logger.info("Creating stock levels for finished products at retail outlets")
logger.info("")
results = []
# Seed for each child retail outlet
for child_tenant_id, child_tenant_name, size_multiplier in CHILD_TENANTS:
logger.info("")
result = await seed_retail_stock_for_tenant(
db,
child_tenant_id,
f"{child_tenant_name} (Retail Outlet)",
size_multiplier
)
results.append(result)
# Calculate totals
total_batches = sum(r["stock_batches_created"] for r in results)
total_products = sum(r["products_stocked"] for r in results)
logger.info("=" * 80)
logger.info("✅ Demo Retail Stock Seeding Completed")
logger.info("=" * 80)
return {
"service": "inventory_stock_retail",
"tenants_seeded": len(results),
"total_batches_created": total_batches,
"total_products_stocked": total_products,
"results": results
}
async def main():
"""Main execution function"""
logger.info("Demo Retail Stock Seeding Script Starting")
logger.info("Mode: %s", os.getenv("DEMO_MODE", "development"))
logger.info("Log Level: %s", os.getenv("LOG_LEVEL", "INFO"))
# Get database URL from environment
database_url = os.getenv("INVENTORY_DATABASE_URL") or os.getenv("DATABASE_URL")
if not database_url:
logger.error("❌ INVENTORY_DATABASE_URL or DATABASE_URL environment variable must be set")
return 1
# Convert to async URL if needed
if database_url.startswith("postgresql://"):
database_url = database_url.replace("postgresql://", "postgresql+asyncpg://", 1)
logger.info("Connecting to inventory database")
# Create engine and session
engine = create_async_engine(
database_url,
echo=False,
pool_pre_ping=True,
pool_size=5,
max_overflow=10
)
async_session = sessionmaker(
engine,
class_=AsyncSession,
expire_on_commit=False
)
try:
async with async_session() as session:
result = await seed_retail_stock(session)
logger.info("")
logger.info("📊 Retail Stock Seeding Summary:")
logger.info(f" ✅ Retail outlets seeded: {result['tenants_seeded']}")
logger.info(f" ✅ Total stock batches: {result['total_batches_created']}")
logger.info(f" ✅ Products stocked: {result['total_products_stocked']}")
logger.info("")
# Print per-tenant details
for tenant_result in result['results']:
logger.info(
f" {tenant_result['tenant_name']}: "
f"{tenant_result['stock_batches_created']} batches, "
f"{tenant_result['products_stocked']} products"
)
logger.info("")
logger.info("🎉 Success! Retail stock levels are ready for cloning.")
logger.info("")
logger.info("Stock characteristics:")
logger.info(" ✓ Multiple batches per product (2-4 batches)")
logger.info(" ✓ Varied freshness levels (0-2 days old)")
logger.info(" ✓ Realistic quantities based on store size")
logger.info(" ✓ Some low-stock scenarios for demo alerts")
logger.info(" ✓ Expiration tracking enabled")
logger.info("")
logger.info("Next steps:")
logger.info(" 1. Seed retail sales history")
logger.info(" 2. Seed customer data")
logger.info(" 3. Test stock alerts and reorder triggers")
logger.info("")
return 0
except Exception as e:
logger.error("=" * 80)
logger.error("❌ Demo Retail Stock Seeding Failed")
logger.error("=" * 80)
logger.error("Error: %s", str(e))
logger.error("", exc_info=True)
return 1
finally:
await engine.dispose()
if __name__ == "__main__":
exit_code = asyncio.run(main())
sys.exit(exit_code)

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