import db from '../config/database'; import { logger } from '../utils/logger'; import { AIService } from './AIService'; import { FeatureGovernanceService } from '../core/governance/FeatureGovernanceService'; /** * [BIZ_TRADE_21] AGI 驱动的碳中和路径自优化 (CarbonNeutralPathService) * @description 在全球主权贸易生态中,通过 AGI 实时监控全球各主权国家的碳足迹与碳税动态,动态优化 SKU 运输路径、包装材料与能源选择,实现最低碳排放与最优成本的平衡。 */ export class CarbonNeutralPathService { private static readonly CARBON_TABLE = 'cf_carbon_neutral_path'; /** * 初始化数据库表 */ static async initTable() { const hasTable = await db.schema.hasTable(this.CARBON_TABLE); if (!hasTable) { logger.info(`📦 Creating ${this.CARBON_TABLE} table...`); await db.schema.createTable(this.CARBON_TABLE, (table) => { table.increments('id').primary(); table.string('tenant_id', 64).notNullable(); table.string('order_id', 64).notNullable(); table.string('origin_country', 16).notNullable(); table.string('dest_country', 16).notNullable(); table.decimal('estimated_carbon_emission', 10, 4); // 预估碳排放 (吨) table.decimal('carbon_offset_cost', 10, 2); // 碳中和成本 table.string('optimized_path', 255); // 优化后的路径描述 (e.g., 'SEA-RAIL-TRUCK') table.json('path_logic'); // { route, packing_type, energy_source } table.string('status', 32).defaultTo('CALCULATED'); // CALCULATED, OPTIMIZED, EXECUTED table.string('trace_id', 128); table.timestamps(true, true); table.index(['tenant_id', 'order_id']); }); logger.info(`✅ Table ${this.CARBON_TABLE} created`); } } /** * 优化订单碳中和路径 * @param tenantId 租户 ID * @param orderId 订单 ID * @param originCountry 起始国家 * @param destCountry 目标国家 * @param traceId 调用链 ID */ static async optimizeCarbonPath( tenantId: string, orderId: string, originCountry: string, destCountry: string, traceId: string ): Promise { // 1. 功能开关检查 if (!(await FeatureGovernanceService.isEnabled('BIZ_TRADE_CARBON_NEUTRAL_PATH', tenantId))) { logger.warn(`[CarbonNeutralPath] Service disabled for tenant ${tenantId} | traceId: ${traceId}`); return null; } logger.info(`[CarbonNeutralPath] Optimizing carbon-neutral path for tenant ${tenantId} | order: ${orderId} | traceId: ${traceId}`); // 2. 获取当前路径下的碳排放基线 (模拟计算) const baselineEmission = 0.5432; // 0.54 吨 CO2 const baselineCost = 150.00; // 150.00 币种单位 // 3. 调用 AGI 驱动的“碳中和优化引擎” // 基于 AGI 实时数据(如欧盟碳关税 CBAM、可再生能源价格、多式联运时效)生成最优路径 const prompt = `Optimize carbon-neutral path for order ${orderId} from ${originCountry} to ${destCountry}. Baseline emission: ${baselineEmission} tons. Baseline cost: ${baselineCost}`; const optimizationResponse = await AIService.generateStrategy(prompt, traceId); // 4. 解析 AGI 决策结果 (模拟解析逻辑) // 假设 AGI 返回:PATH:SEA-RAIL,EMISSION:0.32,OFFSET_COST:45.00 const optimizedPath = optimizationResponse.includes('PATH:') ? optimizationResponse.split('PATH:')[1].split(',')[0] : 'SEA-RAIL'; const estimatedEmission = optimizationResponse.includes('EMISSION:') ? parseFloat(optimizationResponse.split('EMISSION:')[1].split(',')[0]) : 0.3125; const carbonOffsetCost = optimizationResponse.includes('OFFSET_COST:') ? parseFloat(optimizationResponse.split('OFFSET_COST:')[1].split(',')[0]) : 42.50; // 5. 持久化碳中和优化记录 const pathRecord = { tenant_id: tenantId, order_id: orderId, origin_country: originCountry, dest_country: destCountry, estimated_carbon_emission: estimatedEmission, carbon_offset_cost: carbonOffsetCost, optimized_path: optimizedPath, path_logic: JSON.stringify({ route: optimizedPath, packing_type: 'BIODEGRADABLE', energy_source: 'SOLAR_SEA_VESSEL' }), status: 'OPTIMIZED', trace_id: traceId, created_at: new Date(), updated_at: new Date() }; await db(this.CARBON_TABLE).insert(pathRecord); logger.info(`[CarbonNeutralPath] Carbon path optimized successfully for tenant ${tenantId} | order: ${orderId} | path: ${optimizedPath} | traceId: ${traceId}`); // 6. 联动物流履约系统 (模拟更新物流方案) // TODO: 调用 LogisticsIntelligenceService 更新路由方案 return pathRecord; } /** * 获取租户级碳足迹概览 */ static async getTenantCarbonOverview(tenantId: string) { const records = await db(this.CARBON_TABLE).where({ tenant_id: tenantId }); const totalEmission = records.reduce((sum, r) => sum + parseFloat(r.estimated_carbon_emission), 0); const totalOffsetCost = records.reduce((sum, r) => sum + parseFloat(r.carbon_offset_cost), 0); return { tenantId, totalEmission, totalOffsetCost, recordCount: records.length }; } }