import db from '../config/database'; import { logger } from '../utils/logger'; import { DecisionExplainabilityEngine } from '../core/ai/DecisionExplainabilityEngine'; export interface CarbonMetric { routeId: string; co2PerKg: number; estimatedDays: number; } /** * [BIZ_OPS_144] 供应链路线碳排放核算建议 (Carbon) * @description 核心逻辑:核算不同物流路径(空运、海运、铁路)的碳排放量,为具备“绿色品牌”心智的租户推荐低碳路径。 */ export class GreenSupplyService { /** * 推荐低碳路径并生成建议 (BIZ_OPS_144) */ static async recommendLowCarbonRoutes(tenantId: string, orderId: string): Promise { logger.info(`[GreenSupply] Calculating carbon footprint for Order: ${orderId}, Tenant: ${tenantId}`); try { // 1. 获取当前物流选项 (模拟) const options: CarbonMetric[] = [ { routeId: 'AIR_EXPRESS', co2PerKg: 15.2, estimatedDays: 3 }, { routeId: 'SEA_FREIGHT', co2PerKg: 0.8, estimatedDays: 25 }, { routeId: 'RAIL_WAY', co2PerKg: 2.5, estimatedDays: 15 } ]; // 2. 识别低碳选项 (相比空运节省 > 80% 排放) const standard = options.find(o => o.routeId === 'AIR_EXPRESS')!; const greenOption = options.find(o => o.routeId === 'RAIL_WAY')!; // 中欧班列示例 const carbonSavings = standard.co2PerKg - greenOption.co2PerKg; const advice = `Green Route Recommended: Switching to ${greenOption.routeId} reduces carbon footprint by ${carbonSavings.toFixed(1)}kg CO2 per kg of cargo. ` + `Trade-off: +${greenOption.estimatedDays - standard.estimatedDays} days delivery time.`; // 3. [UX_XAI_01] 记录决策证据链 await DecisionExplainabilityEngine.logDecision({ tenantId, module: 'ESG_GOVERNANCE', resourceId: orderId, decisionType: 'LOW_CARBON_ROUTE_RECOMMENDATION', causalChain: advice, factors: [ { name: 'CarbonSavings', value: carbonSavings, weight: 0.8, impact: 'POSITIVE' }, { name: 'DeliveryDelay', value: greenOption.estimatedDays - standard.estimatedDays, weight: 0.2, impact: 'NEGATIVE' } ], traceId: 'green-supply-' + Date.now() }); return { success: true, greenOption, advice, status: 'PENDING_REVIEW' }; } catch (err: any) { logger.error(`[GreenSupply][WARN] Calculation failed: ${err.message}`); return { success: false, error: err.message }; } } }