# kaibe.conf - External configuration, no code changes needed
apiVersion: kAIbernetes.io/v1
kind: SmartDeployment
metadata:
  name: ecommerce-app
spec:
  # AI will automatically discover components
  auto_discovery: true

  # Optional: Developer hints for better optimization
  component_hints:
    - name: "ProductController"
      expected_traffic: "high"
      always_on: true

    - name: "AdminController"
      schedule: "business-hours"
      can_dormant: true

  # Canary testing configuration
  verification:
    canary_percentage: 5
    success_threshold: 95
    test_duration: "10m"
    rollback_on_error: true

  # AI learning preferences
  ai_settings:
    confidence_threshold: 0.85
    learning_rate: "adaptive"
    cost_optimization_priority: "high"

// Your existing Spring Boot application - ZERO changes needed!
@SpringBootApplication
public class ECommerceApplication {
    public static void main(String[] args) {
        SpringApplication.run(ECommerceApplication.class, args);
    }
}

// Regular controllers - kAIbernetes AI will analyze usage patterns
@RestController
public class ProductController {
    @GetMapping("/products")
    public List<Product> getProducts() {
        // AI will detect: high traffic, low latency requirements
        return productService.findAll();
    }
}

@Component
public class InventoryScheduler {
    @Scheduled(cron = "0 2 * * *")
    public void syncInventory() {
        // AI will detect: scheduled task, separate container needed
        inventoryService.syncWithSuppliers();
    }
}