package cn.iocoder.yudao.module.bi.service.decision; import cn.hutool.core.collection.CollUtil; import cn.hutool.core.date.DateUtil; import cn.iocoder.yudao.module.bi.controller.admin.decision.vo.DecisionForecastHistorySaveReqVO; import cn.iocoder.yudao.module.bi.controller.admin.decision.vo.DecisionForecastWorkOrderCreateReqVO; import cn.iocoder.yudao.module.bi.dal.dataobject.decision.BiForecastDataDO; import cn.iocoder.yudao.module.bi.dal.dataobject.decision.BiKpiDefinitionDO; import cn.iocoder.yudao.module.bi.dal.dataobject.decision.BiKpiValueHistoryDO; import cn.iocoder.yudao.module.bi.dal.mysql.decision.BiForecastDataMapper; import cn.iocoder.yudao.module.bi.dal.mysql.decision.BiKpiDefinitionMapper; import cn.iocoder.yudao.module.bi.dal.mysql.decision.BiKpiValueHistoryMapper; import cn.iocoder.yudao.module.mes.api.workorder.MesProWorkOrderApi; import cn.iocoder.yudao.module.mes.api.workorder.dto.MesProWorkOrderCreateReqDTO; import jakarta.annotation.Resource; import lombok.extern.slf4j.Slf4j; import org.springframework.stereotype.Service; import org.springframework.transaction.annotation.Transactional; import java.math.BigDecimal; import java.math.RoundingMode; import java.time.LocalDateTime; import java.util.ArrayList; import java.util.List; import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception; import static cn.iocoder.yudao.module.bi.enums.ErrorCodeConstants.BI_FORECAST_NO_HISTORY; import static cn.iocoder.yudao.module.bi.enums.ErrorCodeConstants.BI_FORECAST_NOT_EXISTS; /** * 负荷预测 Service 实现 * * 本期使用简单移动平均占位,预留 ML 模型接口 * * @author 超级管理员 */ @Slf4j @Service public class BiForecastServiceImpl implements BiForecastService { /** * 工单来源类型:负荷预测(与字典 mes_pro_work_order_source_type 的 value=4 一致) */ private static final Integer WORK_ORDER_SOURCE_TYPE_FORECAST = 4; @Resource private BiForecastDataMapper forecastDataMapper; @Resource private BiKpiDefinitionMapper kpiMapper; @Resource private BiKpiValueHistoryMapper kpiValueHistoryMapper; @Resource private MesProWorkOrderApi mesProWorkOrderApi; @Override public List getForecastList(String forecastCode, LocalDateTime beginTime, LocalDateTime endTime) { return forecastDataMapper.selectListByCodeAndTimeRange(forecastCode, beginTime, endTime); } /** * 移动平均窗口大小 */ private static final int SMA_WINDOW = 12; @Override public Long createForecastHistory(DecisionForecastHistorySaveReqVO reqVO) { BiForecastDataDO data = BiForecastDataDO.builder() .forecastCode(reqVO.getForecastCode()) .forecastName(reqVO.getForecastName()) .pointTime(reqVO.getPointTime()) .forecastValue(reqVO.getForecastValue()) .actualValue(reqVO.getActualValue()) .dimension(reqVO.getDimension()) .dimensionValue(reqVO.getDimensionValue()) .remark(reqVO.getRemark()) .modelVersion("manual-history") .build(); forecastDataMapper.insert(data); return data.getId(); } @Override public void generateForecast(String forecastCode, LocalDateTime pointTime) { // 默认使用 SMA 模型 generateForecast(forecastCode, "SMA", SMA_WINDOW, 7, pointTime); } @Override public void generateForecast(String forecastCode, String model, int window, int period, LocalDateTime pointTime) { // 基于同预测编码的历史预测数据做统计预测;无历史数据时不伪造零值 List history = forecastDataMapper.selectRecentByCode(forecastCode, SMA_WINDOW); if (CollUtil.isEmpty(history)) { throw exception(BI_FORECAST_NO_HISTORY); } List values = new ArrayList<>(); for (BiForecastDataDO h : history) { if (h.getForecastValue() != null) { values.add(h.getForecastValue()); } } BiForecastEngine.Forecast forecast = BiForecastEngine.forecast(model, values, window, period); if (forecast == null) { throw exception(BI_FORECAST_NO_HISTORY); } BiForecastDataDO data = BiForecastDataDO.builder() .forecastCode(forecastCode) .forecastName(history.get(0).getForecastName()) .pointTime(pointTime) .forecastValue(forecast.value()) .lowerBound(forecast.lowerBound()) .upperBound(forecast.upperBound()) .confidenceLevel(new BigDecimal("95.00")) .modelVersion("v2.0-" + model.toLowerCase()) .build(); forecastDataMapper.insert(data); } @Override public int generateKpiForecast(String kpiCode, String model, int window, int period, int periods, int intervalMinutes) { // 1. 校验 KPI 定义 BiKpiDefinitionDO kpi = kpiMapper.selectOne(BiKpiDefinitionDO::getCode, kpiCode); if (kpi == null) { throw exception(BI_FORECAST_NOT_EXISTS); } // 2. 取 KPI 历史快照(升序),无数据不预测 List historyList = kpiValueHistoryMapper.selectByKpiCodeAndTimeRange( kpiCode, LocalDateTime.now().minusMonths(6), LocalDateTime.now()); if (CollUtil.isEmpty(historyList)) { throw exception(BI_FORECAST_NO_HISTORY); } List history = new ArrayList<>(); LocalDateTime lastSnapshotTime = null; for (BiKpiValueHistoryDO h : historyList) { if (h.getKpiValue() != null) { history.add(h.getKpiValue()); lastSnapshotTime = h.getSnapshotTime(); } } if (history.isEmpty()) { throw exception(BI_FORECAST_NO_HISTORY); } // 3. 逐期滚动预测 int targetPeriods = periods > 0 ? Math.min(periods, 90) : 30; int stepMinutes = intervalMinutes > 0 ? intervalMinutes : 360; int count = 0; LocalDateTime nextTime = lastSnapshotTime; for (int i = 0; i < targetPeriods; i++) { BiForecastEngine.Forecast f = BiForecastEngine.forecast(model, history, window, period); if (f == null) { break; } nextTime = nextTime.plusMinutes(stepMinutes); BiForecastDataDO data = BiForecastDataDO.builder() .forecastCode(kpiCode) .forecastName(kpi.getName() + " 预测") .pointTime(nextTime) .forecastValue(f.value()) .lowerBound(f.lowerBound()) .upperBound(f.upperBound()) .confidenceLevel(new BigDecimal("95.00")) .modelVersion("v2.0-" + (model == null ? "sma" : model.toLowerCase())) .dimension("kpi") .dimensionValue(kpiCode) .build(); forecastDataMapper.insert(data); count++; // 将预测值追加进历史,供下一期滚动 history.add(f.value()); if (history.size() > 200) { history.remove(0); } } return count; } @Override @Transactional(rollbackFor = Exception.class) public Long createWorkOrderFromForecast(DecisionForecastWorkOrderCreateReqVO reqVO) { // 1. 校验预测数据存在 BiForecastDataDO forecast = forecastDataMapper.selectById(reqVO.getForecastId()); if (forecast == null) { throw exception(BI_FORECAST_NOT_EXISTS); } // 2. 组装工单 DTO 并调用 MES API 创建(无产品工单,跳 BOM) MesProWorkOrderCreateReqDTO dto = new MesProWorkOrderCreateReqDTO(); dto.setCode(generateWorkOrderCode()); dto.setName(reqVO.getWorkOrderName() != null ? reqVO.getWorkOrderName() : ("负荷预测-" + forecast.getForecastName())); dto.setType(reqVO.getWorkOrderType()); dto.setOrderSourceType(WORK_ORDER_SOURCE_TYPE_FORECAST); dto.setOrderSourceCode(forecast.getForecastCode()); dto.setRequestDate(reqVO.getRequestDate()); dto.setQuantity(reqVO.getQuantity()); dto.setRemark(reqVO.getRemark()); return mesProWorkOrderApi.createWorkOrder(dto); } private String generateWorkOrderCode() { return "GZ" + DateUtil.format(LocalDateTime.now(), "yyyyMMddHHmmss") + String.format("%03d", (int) (Math.random() * 1000)); } }