<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.ruoyi.production.mapper.ProductionOperationTaskMapper">
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<!-- 通用查询映射结果 -->
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<resultMap id="BaseResultMap" type="com.ruoyi.production.pojo.ProductionOperationTask">
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<id column="id" property="id" />
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<result column="production_order_routing_operation_id" property="productionOrderRoutingOperationId" />
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<result column="create_time" property="createTime" />
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<result column="update_time" property="updateTime" />
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<result column="work_order_no" property="workOrderNo" />
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<result column="plan_start_time" property="planStartTime" />
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<result column="plan_end_time" property="planEndTime" />
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<result column="actual_start_time" property="actualStartTime" />
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<result column="actual_end_time" property="actualEndTime" />
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<result column="status" property="status" />
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<result column="production_order_id" property="productionOrderId" />
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<result column="plan_quantity" property="planQuantity" />
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<result column="complete_quantity" property="completeQuantity" />
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<result column="create_user" property="createUser" />
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<result column="dept_id" property="deptId" />
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</resultMap>
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<select id="pageProductionOperationTask" resultType="com.ruoyi.production.bean.vo.ProductionOperationTaskVo">
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select pot.*,
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po.nps_no as npsNo,
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po.is_end_order as endOrder,
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p.product_name as productName,
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pm.model as model,
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pm.unit as unit,
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poro.operation_name as operationName,
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ROUND(pot.complete_quantity / pot.plan_quantity * 100, 2) AS completionStatus,
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CASE
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WHEN pot.work_order_no LIKE 'FG%' THEN '返工返修'
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ELSE '正常'
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END AS work_order_type
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from production_operation_task pot
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left join production_order po on pot.production_order_id = po.id
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left join production_order_routing_operation poro on pot.production_order_routing_operation_id = poro.id
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left join product_model pm on pm.id = ifnull(poro.product_model_id, po.product_model_id)
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left join product p on pm.product_id = p.id
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<where>
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<if test="c != null and c.id != null">
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and pot.id = #{c.id}
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</if>
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<if test="c != null and c.productionOrderId != null">
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and pot.production_order_id = #{c.productionOrderId}
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</if>
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<if test="c != null and c.productionOrderRoutingOperationId != null">
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and pot.production_order_routing_operation_id = #{c.productionOrderRoutingOperationId}
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</if>
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<if test="c != null and c.status != null">
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and pot.status = #{c.status}
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</if>
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<if test="c != null and c.workOrderNo != null and c.workOrderNo != ''">
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and pot.work_order_no like concat('%', #{c.workOrderNo}, '%')
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</if>
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</where>
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order by pot.id desc
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</select>
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<select id="selectTaskStatisticsByDate" resultType="com.ruoyi.home.dto.ProductionTaskStatisticsDto">
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select pot.id,
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pot.work_order_no,
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pot.plan_start_time as planStartTime,
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pot.plan_end_time as planEndTime,
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pot.actual_start_time as actualStartTime,
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pot.actual_end_time as actualEndTime,
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pot.plan_quantity as planQuantity,
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ifnull(pot.complete_quantity, 0) as completeQuantity,
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poro.operation_name as processName,
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p.product_name as productName,
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pm.model,
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pm.unit,
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po.nps_no as productOrderNpsNo
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from production_operation_task pot
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left join production_order po on pot.production_order_id = po.id
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left join production_order_routing_operation poro on pot.production_order_routing_operation_id = poro.id
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left join product_model pm on pm.id = ifnull(poro.product_model_id, po.product_model_id)
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left join product p on pm.product_id = p.id
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where date(pot.create_time) between #{startDate} and #{endDate}
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order by pot.create_time desc
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</select>
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<select id="selectTaskStartStats" resultType="com.ruoyi.home.dto.ProductionTaskStatisticsDto">
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select id,
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actual_start_time as actualStartTime,
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plan_quantity as planQuantity
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from production_operation_task
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where actual_start_time >= #{startDateTime}
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and actual_start_time <= #{endDateTime}
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</select>
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<select id="calculateProductionStatistics" resultType="com.ruoyi.home.dto.processDataProductionStatisticsDto">
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select poro.operation_name as processName,
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sum(ifnull(ppi.input_quantity, 0)) as totalInput,
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sum(ifnull(ppo.scrap_qty, 0)) as totalScrap,
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sum(ifnull(ppo.quantity, 0) - ifnull(ppo.scrap_qty, 0)) as totalOutput
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from production_product_output ppo
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inner join production_product_main ppm on ppo.production_product_main_id = ppm.id
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inner join production_operation_task pot on ppm.production_operation_task_id = pot.id
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left join production_order_routing_operation poro on pot.production_order_routing_operation_id = poro.id
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left join production_product_input ppi on ppi.production_product_main_id = ppm.id
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<where>
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<if test="startDateTime != null">
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and ppo.create_time >= #{startDateTime}
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</if>
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<if test="endDateTime != null">
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and ppo.create_time <= #{endDateTime}
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</if>
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<if test="userId != null">
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and ppm.create_user = #{userId}
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</if>
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<if test="processIds != null and processIds.size() > 0">
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and poro.technology_operation_id in
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<foreach collection="processIds" item="id" open="(" separator="," close=")">
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#{id}
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</foreach>
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</if>
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</where>
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group by poro.technology_operation_id, poro.operation_name
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</select>
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<select id="getProductWorkOrderFlowCard" resultType="com.ruoyi.production.bean.dto.ProductionOperationTaskDto">
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SELECT pot.*,
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poro.operation_name AS processName,
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pm.model AS model,
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pm.unit AS unit,
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p.product_name AS productName,
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po.nps_no AS productOrderNpsNo,
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ROUND(IFNULL(pot.complete_quantity, 0) / NULLIF(pot.plan_quantity, 0) * 100, 2) AS completionStatus,
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IFNULL(scrapStat.scrapQty, 0) AS scrapQty
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FROM production_operation_task pot
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LEFT JOIN production_order po ON pot.production_order_id = po.id
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LEFT JOIN production_order_routing_operation poro ON pot.production_order_routing_operation_id = poro.id
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LEFT JOIN product_model pm ON pm.id = ifnull(poro.product_model_id, po.product_model_id)
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LEFT JOIN product p ON p.id = pm.product_id
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LEFT JOIN (
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SELECT ppm.production_operation_task_id AS taskId,
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SUM(IFNULL(ppo.scrap_qty, 0)) AS scrapQty
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FROM production_product_main ppm
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LEFT JOIN production_product_output ppo ON ppo.production_product_main_id = ppm.id
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GROUP BY ppm.production_operation_task_id
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) scrapStat ON scrapStat.taskId = pot.id
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WHERE pot.id = #{id}
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</select>
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</mapper>
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