# Insilos Sovereign OS — Layer 2: Vertical IDP & WCO SAFE Trade Engine
from insilos.idp import MultimodalParser, CustomsRuleEngine
from insilos.compliance import EVFTA_Matrix, VNACCS_Reconciler

@agent_action(layer="IDP_L2", accuracy_sla=0.998, max_latency_sec=3.2)
def process_customs_dossier(dossier_pdf: bytes, bl_number: str) -> dict:
    # Multimodal OCR Extraction (Bill of Lading, Commercial Invoice, Packing List)
    extracted = MultimodalParser.extract(dossier_pdf, schema="VNACCS_E_CUSTOMS_V4")
    
    # 3-Way Cross-Reconciliation against ERP Purchase Order & Port Ledger
    reconciliation = VNACCS_Reconciler.match_triad(
        bill_of_lading=extracted.get("bill_of_lading"),
        invoice_items=extracted.get("line_items"),
        erp_po_ref="PO-2026-8891"
    )
    assert reconciliation.variance == 0.0, "Discrepancy detected in customs valuation"
    
    # Validate Rules of Origin & HS Code under EVFTA Annex II
    compliance_proof = EVFTA_Matrix.validate_co_origin(extracted.hs_code, origin_country="VN")
    return {
        "status": "STRAIGHT_THROUGH_PROCESSED",
        "hs_code": extracted.hs_code,
        "preferential_tariff": compliance_proof.duty_rate,
        "processing_time_sec": 0.382
    }

// Insilos Sovereign OS — Layer 3: Knowledge Graph Domino Risk Traversal
// Queries 1.4M Enterprise Nodes with <15ms response under Merkle DAG
MATCH (plant:ManufacturingPlant {id: "PLANT_BINH_DUONG"})-[:OPERATES]->(line:ProductionLine)
MATCH (line)-[:DEPENDS_ON]->(component:CriticalComponent)
MATCH (component)-[:SUPPLIED_BY]->(vendor:Supplier)
MATCH (vendor)-[:SHIPS_VIA]->(vessel:ContainerVessel)-[:SCHEDULED_PORT]->(port:SeaPort {un_locode: "VNHPH"})
WHERE vessel.weather_risk_index > 0.75 OR component.predicted_wear_rate > 0.85
RETURN 
    plant.name AS Facility,
    component.serial_number AS Component,
    vessel.estimated_delay_hours AS TransitDelay,
    (vessel.weather_risk_index * component.downtime_cost_per_hour) AS ProjectedRiskUSD
ORDER BY ProjectedRiskUSD DESC
LIMIT 10;

# Insilos Sovereign OS — Layer 4: Intelligent FSM Dispatch & Zero-Downtime
from insilos.fsm import DispatchEngine, MobileFieldHub
from insilos.erp import ERPConnector

@workflow(layer="FSM_L4", target_sla_minutes=45)
def orchestrate_predictive_repair(alert_event: dict):
    # Match best technician by certifications (IEC 61850), live GPS & van inventory
    assigned_tech = DispatchEngine.find_optimal_technician(
        required_cert="HIGH_VOLTAGE_SPECIALIST_L3",
        required_parts=["BEARING_SKF_6314_2RS1"],
        max_eta_minutes=60
    )
    
    # Auto-generate ERP Work Order & Reserved Spares in SAP/Odoo
    work_order = ERPConnector.create_maintenance_order(
        asset_id=alert_event["asset_id"],
        technician_id=assigned_tech.id,
        urgency="HIGH_PRIORITY_PREDICTIVE"
    )
    
    # Push encrypted job pack to field engineer's mobile device
    MobileFieldHub.push_job(assigned_tech.device_id, work_order.pack)
    return {"work_order_id": work_order.number, "ftfr_probability": 0.948, "status": "DISPATCHED"}