package cn.iocoder.yudao.module.bi.service.decision;
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import cn.iocoder.yudao.module.bi.dal.dataobject.decision.BiForecastDataDO;
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import cn.iocoder.yudao.module.bi.dal.mysql.decision.BiForecastDataMapper;
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import jakarta.annotation.Resource;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.stereotype.Service;
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import java.math.BigDecimal;
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import java.time.LocalDateTime;
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import java.util.List;
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/**
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* 负荷预测 Service 实现
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*
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* 本期使用简单移动平均占位，预留 ML 模型接口
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*
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* @author 超级管理员
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*/
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@Slf4j
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@Service
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public class BiForecastServiceImpl implements BiForecastService {
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@Resource
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private BiForecastDataMapper forecastDataMapper;
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@Override
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public List<BiForecastDataDO> getForecastList(String forecastCode, LocalDateTime beginTime, LocalDateTime endTime) {
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return forecastDataMapper.selectListByCodeAndTimeRange(forecastCode, beginTime, endTime);
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}
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@Override
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public void generateForecast(String forecastCode, LocalDateTime pointTime) {
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// 本期占位：简单移动平均预测
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// 实际项目应集成 ML 模型（ARIMA/Prophet/LSTM）
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log.info("[generateForecast][生成预测] forecastCode={}, pointTime={}, 当前为占位实现", forecastCode, pointTime);
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BiForecastDataDO forecast = BiForecastDataDO.builder()
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.forecastCode(forecastCode)
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.forecastName("负荷预测(占位)")
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.pointTime(pointTime)
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.forecastValue(BigDecimal.ZERO)
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.lowerBound(BigDecimal.ZERO)
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.upperBound(BigDecimal.ZERO)
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.confidenceLevel(new BigDecimal("95.00"))
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.modelVersion("v1.0-placeholder")
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.build();
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forecastDataMapper.insert(forecast);
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}
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}
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