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New alert service

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This commit is contained in:
Urtzi Alfaro
2025-12-05 20:07:01 +01:00
parent 1fe3a73549
commit 667e6e0404
393 changed files with 26002 additions and 61033 deletions
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32
services/orchestrator/scripts/demo/seed_demo_orchestration_runs.py
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@@ -172,11 +172,24 @@ def generate_reasoning_metadata(
This creates structured reasoning data that the alert processor can use to provide
context when showing AI reasoning to users.
"""
# Calculate aggregate metrics for dashboard display
# Dashboard expects these fields at the top level of the 'reasoning' object
critical_items_count = random.randint(1, 3) if purchase_orders_created > 0 else 0
financial_impact_eur = random.randint(200, 1500) if critical_items_count > 0 else 0
min_depletion_hours = random.uniform(6.0, 48.0) if critical_items_count > 0 else 0
reasoning_metadata = {
'reasoning': {
'type': 'daily_orchestration_summary',
'timestamp': datetime.now(timezone.utc).isoformat(),
# TOP-LEVEL FIELDS - Dashboard reads these directly (dashboard_service.py:411-413)
'critical_items_count': critical_items_count,
'financial_impact_eur': round(financial_impact_eur, 2),
'min_depletion_hours': round(min_depletion_hours, 1),
'time_until_consequence_hours': round(min_depletion_hours, 1),
'affected_orders': random.randint(0, 5) if critical_items_count > 0 else 0,
'summary': 'Daily orchestration run completed successfully',
# Keep existing details structure for backward compatibility
'details': {
'forecasting': {
'forecasts_created': forecasts_generated,
@@ -419,11 +432,20 @@ async def generate_orchestration_for_tenant(
notification_error = error_scenario["message"]
# Generate results summary
forecasts_generated = random.randint(5, 15)
production_batches_created = random.randint(3, 8)
procurement_plans_created = random.randint(2, 6)
purchase_orders_created = random.randint(1, 4)
notifications_sent = random.randint(10, 25)
# For professional tenant, use realistic fixed counts that match PO seed data
if tenant_id == DEMO_TENANT_PROFESSIONAL:
forecasts_generated = 12 # Realistic daily forecast count
production_batches_created = 6 # Realistic batch count
procurement_plans_created = 3 # 3 procurement plans
purchase_orders_created = 18 # Total POs including 9 delivery POs (PO #11-18)
notifications_sent = 24 # Realistic notification count
else:
# Enterprise tenant can keep random values
forecasts_generated = random.randint(5, 15)
production_batches_created = random.randint(3, 8)
procurement_plans_created = random.randint(2, 6)
purchase_orders_created = random.randint(1, 4)
notifications_sent = random.randint(10, 25)
# Generate performance metrics for completed runs
fulfillment_rate = None