123 lines
5.2 KiB
TypeScript
123 lines
5.2 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 { AIService } from './AIService';
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import { FeatureGovernanceService } from '../core/governance/FeatureGovernanceService';
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/**
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* [BIZ_TRADE_21] AGI 驱动的碳中和路径自优化 (CarbonNeutralPathService)
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* @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。
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*/
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export class CarbonNeutralPathService {
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private static readonly CARBON_TABLE = 'cf_carbon_neutral_path';
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/**
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* 初始化数据库表
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*/
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static async initTable() {
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const hasTable = await db.schema.hasTable(this.CARBON_TABLE);
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if (!hasTable) {
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logger.info(`📦 Creating ${this.CARBON_TABLE} table...`);
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await db.schema.createTable(this.CARBON_TABLE, (table) => {
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table.increments('id').primary();
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table.string('tenant_id', 64).notNullable();
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table.string('order_id', 64).notNullable();
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table.string('origin_country', 16).notNullable();
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table.string('dest_country', 16).notNullable();
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table.decimal('estimated_carbon_emission', 10, 4); // 预估碳排放 (吨)
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table.decimal('carbon_offset_cost', 10, 2); // 碳中和成本
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table.string('optimized_path', 255); // 优化后的路径描述 (e.g., 'SEA-RAIL-TRUCK')
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table.json('path_logic'); // { route, packing_type, energy_source }
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table.string('status', 32).defaultTo('CALCULATED'); // CALCULATED, OPTIMIZED, EXECUTED
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table.string('trace_id', 128);
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table.timestamps(true, true);
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table.index(['tenant_id', 'order_id']);
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});
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logger.info(`✅ Table ${this.CARBON_TABLE} created`);
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}
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}
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/**
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* 优化订单碳中和路径
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* @param tenantId 租户 ID
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* @param orderId 订单 ID
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* @param originCountry 起始国家
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* @param destCountry 目标国家
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* @param traceId 调用链 ID
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*/
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static async optimizeCarbonPath(
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tenantId: string,
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orderId: string,
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originCountry: string,
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destCountry: string,
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traceId: string
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): Promise<any> {
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// 1. 功能开关检查
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if (!(await FeatureGovernanceService.isEnabled('BIZ_TRADE_CARBON_NEUTRAL_PATH', tenantId))) {
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logger.warn(`[CarbonNeutralPath] Service disabled for tenant ${tenantId} | traceId: ${traceId}`);
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return null;
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}
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logger.info(`[CarbonNeutralPath] Optimizing carbon-neutral path for tenant ${tenantId} | order: ${orderId} | traceId: ${traceId}`);
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// 2. 获取当前路径下的碳排放基线 (模拟计算)
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const baselineEmission = 0.5432; // 0.54 吨 CO2
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const baselineCost = 150.00; // 150.00 币种单位
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// 3. 调用 AGI 驱动的“碳中和优化引擎”
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// 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
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const prompt = `Optimize carbon-neutral path for order ${orderId} from ${originCountry} to ${destCountry}. Baseline emission: ${baselineEmission} tons. Baseline cost: ${baselineCost}`;
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const optimizationResponse = await AIService.generateStrategy(prompt, traceId);
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// 4. 解析 AGI 决策结果 (模拟解析逻辑)
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// 假设 AGI 返回:PATH:SEA-RAIL,EMISSION:0.32,OFFSET_COST:45.00
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const optimizedPath = optimizationResponse.includes('PATH:') ? optimizationResponse.split('PATH:')[1].split(',')[0] : 'SEA-RAIL';
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const estimatedEmission = optimizationResponse.includes('EMISSION:') ? parseFloat(optimizationResponse.split('EMISSION:')[1].split(',')[0]) : 0.3125;
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const carbonOffsetCost = optimizationResponse.includes('OFFSET_COST:') ? parseFloat(optimizationResponse.split('OFFSET_COST:')[1].split(',')[0]) : 42.50;
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// 5. 持久化碳中和优化记录
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const pathRecord = {
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tenant_id: tenantId,
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order_id: orderId,
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origin_country: originCountry,
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dest_country: destCountry,
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estimated_carbon_emission: estimatedEmission,
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carbon_offset_cost: carbonOffsetCost,
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optimized_path: optimizedPath,
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path_logic: JSON.stringify({
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route: optimizedPath,
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packing_type: 'BIODEGRADABLE',
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energy_source: 'SOLAR_SEA_VESSEL'
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}),
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status: 'OPTIMIZED',
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trace_id: traceId,
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created_at: new Date(),
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updated_at: new Date()
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};
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await db(this.CARBON_TABLE).insert(pathRecord);
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logger.info(`[CarbonNeutralPath] Carbon path optimized successfully for tenant ${tenantId} | order: ${orderId} | path: ${optimizedPath} | traceId: ${traceId}`);
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// 6. 联动物流履约系统 (模拟更新物流方案)
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// TODO: 调用 LogisticsIntelligenceService 更新路由方案
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return pathRecord;
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}
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/**
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* 获取租户级碳足迹概览
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*/
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static async getTenantCarbonOverview(tenantId: string) {
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const records = await db(this.CARBON_TABLE).where({ tenant_id: tenantId });
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const totalEmission = records.reduce((sum, r) => sum + parseFloat(r.estimated_carbon_emission), 0);
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const totalOffsetCost = records.reduce((sum, r) => sum + parseFloat(r.carbon_offset_cost), 0);
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return {
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tenantId,
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totalEmission,
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totalOffsetCost,
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recordCount: records.length
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};
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}
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}
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