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