85 lines
2.2 KiB
Java
85 lines
2.2 KiB
Java
package com.klp.service;
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import com.klp.domain.vo.WmsCoilPendingActionVo;
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import com.klp.domain.bo.WmsCoilPendingActionBo;
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import com.klp.common.core.domain.PageQuery;
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import com.klp.common.core.page.TableDataInfo;
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import java.util.Collection;
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import java.util.List;
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import java.util.Date;
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import com.klp.domain.vo.TheoryCycleRegressionResultVo;
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/**
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* 钢卷待操作Service接口
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*
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* @author Joshi
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* @date 2025-11-03
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*/
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public interface IWmsCoilPendingActionService {
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/**
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* 查询钢卷待操作
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*/
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WmsCoilPendingActionVo queryById(Long actionId);
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/**
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* 查询钢卷待操作列表
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*/
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TableDataInfo<WmsCoilPendingActionVo> queryPageList(WmsCoilPendingActionBo bo, PageQuery pageQuery);
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/**
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* 查询钢卷待操作列表
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*/
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List<WmsCoilPendingActionVo> queryList(WmsCoilPendingActionBo bo);
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/**
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* 新增钢卷待操作
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*/
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Boolean insertByBo(WmsCoilPendingActionBo bo);
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/**
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* 修改钢卷待操作
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*/
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Boolean updateByBo(WmsCoilPendingActionBo bo);
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/**
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* 校验并批量删除钢卷待操作信息
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*/
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Boolean deleteWithValidByIds(Collection<Long> ids, Boolean isValid);
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/**
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* 更新操作状态
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*/
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Boolean updateStatus(Long actionId, Integer status);
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/**
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* 开始处理操作
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*/
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Boolean startProcess(Long actionId);
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/**
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* 完成操作
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*/
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Boolean completeAction(Long actionId);
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/**
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* 取消操作
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*/
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Boolean cancelAction(Long actionId);
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/**
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* 计算理论节拍线性回归（默认近6个月），同时返回散点用于前端绘图并将结果缓存。
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*/
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TheoryCycleRegressionResultVo calcTheoryCycleRegression(Date startTime, Date endTime);
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/**
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* 计算理论节拍线性回归（可选择是否返回散点；并对散点数量进行上限控制）。
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*
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* @param includePoints 是否返回散点 points（默认 false，避免结果过大）
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* @param maxPoints 最大散点数（includePoints=true 时生效）
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*/
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TheoryCycleRegressionResultVo calcTheoryCycleRegression(Date startTime, Date endTime, Boolean includePoints, Integer maxPoints);
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}
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