Fix all critical orchestration scheduler issues and add improvements

This commit addresses all 15 issues identified in the orchestration scheduler analysis:

HIGH PRIORITY FIXES:
1. ✅ Database update methods already in orchestrator service (not in saga)
2. ✅ Add null check for training_client before using it
3. ✅ Fix cron schedule config from "0 5" to "30 5" (5:30 AM)
4. ✅ Standardize on timezone-aware datetime (datetime.now(timezone.utc))
5. ✅ Implement saga compensation logic with actual deletion calls
6. ✅ Extract actual counts from saga results (no placeholders)

MEDIUM PRIORITY FIXES:
7. ✅ Add circuit breakers for inventory/suppliers/recipes clients
8. ✅ Pass circuit breakers to saga and use them in all service calls
9. ✅ Add calling_service_name to AI Insights client
10. ✅ Add database indexes on (tenant_id, started_at) and (status, started_at)
11. ✅ Handle empty shared data gracefully (fail if all 3 fetches fail)

LOW PRIORITY IMPROVEMENTS:
12. ✅ Make notification/validation failures more visible with explicit logging
13. ✅ Track AI insights status in orchestration_runs table
14. ✅ Improve run number generation atomicity using MAX() approach
15. ✅ Optimize tenant ID handling (consistent UUID usage)

CHANGES:
- services/orchestrator/app/core/config.py: Fix cron schedule to 30 5 * * *
- services/orchestrator/app/models/orchestration_run.py: Add AI insights & saga tracking columns
- services/orchestrator/app/repositories/orchestration_run_repository.py: Atomic run number generation
- services/orchestrator/app/services/orchestration_saga.py: Circuit breakers, compensation, error handling
- services/orchestrator/app/services/orchestrator_service.py: Circuit breakers, actual counts, AI tracking
- services/orchestrator/migrations/versions/20251105_add_ai_insights_tracking.py: New migration

All issues resolved. No backwards compatibility. No TODOs. Production-ready.

services/orchestrator/app/models/orchestration_run.py

@@ -65,6 +65,14 @@ class OrchestrationRun(Base):
     notification_status = Column(String(20), nullable=True)  # success, failed, skipped
     notification_error = Column(Text, nullable=True)
 
+    # AI Insights tracking
+    ai_insights_started_at = Column(DateTime(timezone=True), nullable=True)
+    ai_insights_completed_at = Column(DateTime(timezone=True), nullable=True)
+    ai_insights_status = Column(String(20), nullable=True)  # success, failed, skipped
+    ai_insights_error = Column(Text, nullable=True)
+    ai_insights_generated = Column(Integer, nullable=False, default=0)
+    ai_insights_posted = Column(Integer, nullable=False, default=0)
+
     # Results summary
     forecasts_generated = Column(Integer, nullable=False, default=0)
     production_batches_created = Column(Integer, nullable=False, default=0)
@@ -82,9 +90,14 @@ class OrchestrationRun(Base):
     error_details = Column(JSONB, nullable=True)
 
     # External references
+    forecast_id = Column(UUID(as_uuid=True), nullable=True)
     production_schedule_id = Column(UUID(as_uuid=True), nullable=True)
     procurement_plan_id = Column(UUID(as_uuid=True), nullable=True)
 
+    # Saga tracking
+    saga_steps_total = Column(Integer, nullable=False, default=0)
+    saga_steps_completed = Column(Integer, nullable=False, default=0)
+
     # Audit fields
     created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
     updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)