import db from '../config/database'; import { logger } from '../utils/logger'; import { DecisionExplainabilityEngine } from '../core/ai/DecisionExplainabilityEngine'; export interface PackageItem { skuId: string; weight: number; dimensions: { l: number; w: number; h: number }; } /** * [BIZ_OPS_146] 智能包裹拆分/合包优化建议 (Bundle) * @description 核心逻辑:基于首重与续重运费模板,自动识别多个订单合包或单个大订单拆分的成本优势,降低单均运费。 */ export class PackingOptimizer { /** * 优化包裹方案 (BIZ_OPS_146) */ static async optimizePacking(tenantId: string, orderIds: string[]): Promise { logger.info(`[PackingOptimizer] Analyzing bundling options for ${orderIds.length} orders, Tenant: ${tenantId}`); try { // 1. 获取订单商品详情 (模拟) const items: PackageItem[] = [ { skuId: 'SKU_A', weight: 0.4, dimensions: { l: 10, w: 10, h: 5 } }, { skuId: 'SKU_B', weight: 0.3, dimensions: { l: 8, w: 8, h: 4 } } ]; // 2. 运费计算对比 (模拟逻辑) // 假设:单包运费 15,合包运费 22 const separateCost = 15 * 2; const bundledCost = 22; const savings = separateCost - bundledCost; if (savings > 0) { const advice = `Bundling Opportunity: Combining these ${orderIds.length} orders into a single package saves ${savings.toFixed(2)} in freight costs. ` + `Estimated total weight: 0.7kg.`; // 3. [UX_XAI_01] 记录决策证据链 await DecisionExplainabilityEngine.logDecision({ tenantId, module: 'LOGISTICS_COST_OPTIMIZATION', resourceId: orderIds.join(','), decisionType: 'BUNDLE_OPTIMIZATION_SUGGESTION', causalChain: advice, factors: [ { name: 'PotentialSavings', value: savings, weight: 0.8, impact: 'POSITIVE' }, { name: 'TotalWeight', value: 0.7, weight: 0.2, impact: 'NEUTRAL' } ], traceId: 'packing-opt-' + Date.now() }); return { success: true, savings, advice, status: 'PENDING_REVIEW' }; } return { success: true, message: 'Current separate shipping is optimal' }; } catch (err: any) { logger.error(`[PackingOptimizer][WARN] Optimization failed: ${err.message}`); return { success: false, error: err.message }; } } }