package cn.iocoder.yudao.module.bi.service.decision;

import cn.iocoder.yudao.module.bi.dal.dataobject.decision.BiForecastDataDO;
import cn.iocoder.yudao.module.bi.dal.mysql.decision.BiForecastDataMapper;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Service;

import java.math.BigDecimal;
import java.time.LocalDateTime;
import java.util.List;

/**
 * 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 {

    @Resource
    private BiForecastDataMapper forecastDataMapper;

    @Override
    public List<BiForecastDataDO> getForecastList(String forecastCode, LocalDateTime beginTime, LocalDateTime endTime) {
        return forecastDataMapper.selectListByCodeAndTimeRange(forecastCode, beginTime, endTime);
    }

    @Override
    public void generateForecast(String forecastCode, LocalDateTime pointTime) {
        // 本期占位：简单移动平均预测
        // 实际项目应集成 ML 模型（ARIMA/Prophet/LSTM）
        log.info("[generateForecast][生成预测] forecastCode={}, pointTime={}, 当前为占位实现", forecastCode, pointTime);

        BiForecastDataDO forecast = BiForecastDataDO.builder()
                .forecastCode(forecastCode)
                .forecastName("负荷预测(占位)")
                .pointTime(pointTime)
                .forecastValue(BigDecimal.ZERO)
                .lowerBound(BigDecimal.ZERO)
                .upperBound(BigDecimal.ZERO)
                .confidenceLevel(new BigDecimal("95.00"))
                .modelVersion("v1.0-placeholder")
                .build();
        forecastDataMapper.insert(forecast);
    }

}