select po.id as productionOrderId, po.nps_no as npsNo, po.is_end_order as endOrder, p.product_name as productName, pm.model as model, pm.unit as unit, group_concat(distinct poro.operation_name order by poro.drag_sort, poro.operation_name separator ',') as operationName, count(distinct pot.id) as productionTaskCount, sum(ifnull(pot.plan_quantity, 0)) as planQuantity, sum(ifnull(pot.complete_quantity, 0)) as completeQuantity, sum(ifnull(pot.complete_quantity, 0)) as goodQuantity, sum(ifnull(scrapStat.scrapQty, 0)) as scrapQty, round(sum(ifnull(pot.complete_quantity, 0)) / nullif(sum(ifnull(pot.plan_quantity, 0)), 0) * 100, 2) as completionStatus, max(poro.type) as type, case when sum(case when pot.work_order_no like 'FG%' then 1 else 0 end) > 0 then '返工返修' else '正常' end as workOrderType, group_concat(distinct pot.work_order_no order by pot.work_order_no separator ',') as workOrderNo, min(pot.plan_start_time) as planStartTime, max(pot.plan_end_time) as planEndTime, min(pot.actual_start_time) as actualStartTime, max(pot.actual_end_time) as actualEndTime, max(pot.status) as status from production_operation_task pot left join production_order po on pot.production_order_id = po.id left join production_order_routing_operation poro on pot.production_order_routing_operation_id = poro.id left join product_model pm on pm.id = ifnull(poro.product_model_id, po.product_model_id) left join product p on pm.product_id = p.id left join ( select ppm.production_operation_task_id as taskId, sum(ifnull(ppo.scrap_qty, 0)) as scrapQty from production_product_main ppm left join production_product_output ppo on ppo.production_product_main_id = ppm.id group by ppm.production_operation_task_id ) scrapStat on scrapStat.taskId = pot.id and po.nps_no like concat('%', #{c.npsNo}, '%') and pot.production_order_id = #{c.productionOrderId} group by po.id order by po.id desc group by po.id, po.nps_no, po.is_end_order, p.product_name, pm.model, pm.unit order by po.id desc select pot.id, pot.work_order_no, pot.plan_start_time as planStartTime, pot.plan_end_time as planEndTime, pot.actual_start_time as actualStartTime, pot.actual_end_time as actualEndTime, pot.plan_quantity as planQuantity, ifnull(pot.complete_quantity, 0) as completeQuantity, poro.operation_name as processName, p.product_name as productName, pm.model, pm.unit, po.nps_no as productOrderNpsNo from production_operation_task pot left join production_order po on pot.production_order_id = po.id left join production_order_routing_operation poro on pot.production_order_routing_operation_id = poro.id left join product_model pm on pm.id = ifnull(poro.product_model_id, po.product_model_id) left join product p on pm.product_id = p.id where date(pot.create_time) between #{startDate} and #{endDate} order by pot.create_time desc select id, actual_start_time as actualStartTime, plan_quantity as planQuantity from production_operation_task where actual_start_time >= #{startDateTime} and actual_start_time <= #{endDateTime} select poro.operation_name as processName, sum(ifnull(ppi.input_quantity, 0)) as totalInput, sum(ifnull(ppo.scrap_qty, 0)) as totalScrap, sum(greatest(ifnull(ppo.quantity, 0) - ifnull(ppo.scrap_qty, 0), 0)) as totalOutput from production_product_output ppo inner join production_product_main ppm on ppo.production_product_main_id = ppm.id inner join production_operation_task pot on ppm.production_operation_task_id = pot.id left join production_order_routing_operation poro on pot.production_order_routing_operation_id = poro.id left join production_product_input ppi on ppi.production_product_main_id = ppm.id and ppo.create_time >= #{startDateTime} and ppo.create_time <= #{endDateTime} and ppm.create_user = #{userId} and poro.technology_operation_id in #{id} group by poro.technology_operation_id, poro.operation_name SELECT pot.*, poro.operation_name AS processName, pm.model AS model, pm.unit AS unit, p.product_name AS productName, po.nps_no AS productOrderNpsNo, ROUND(IFNULL(pot.complete_quantity, 0) / NULLIF(pot.plan_quantity, 0) * 100, 2) AS completionStatus, IFNULL(scrapStat.scrapQty, 0) AS scrapQty FROM production_operation_task pot LEFT JOIN production_order po ON pot.production_order_id = po.id LEFT JOIN production_order_routing_operation poro ON pot.production_order_routing_operation_id = poro.id LEFT JOIN product_model pm ON pm.id = ifnull(poro.product_model_id, po.product_model_id) LEFT JOIN product p ON p.id = pm.product_id LEFT JOIN ( SELECT ppm.production_operation_task_id AS taskId, SUM(IFNULL(ppo.scrap_qty, 0)) AS scrapQty FROM production_product_main ppm LEFT JOIN production_product_output ppo ON ppo.production_product_main_id = ppm.id GROUP BY ppm.production_operation_task_id ) scrapStat ON scrapStat.taskId = pot.id WHERE pot.id = #{id} select poro.operation_name as operationName, max(poro.type) as type, count(pot.id) as productionTaskCount, sum(ifnull(pot.plan_quantity, 0)) as planQuantity, sum(ifnull(pot.complete_quantity, 0)) as completeQuantity, sum(ifnull(pot.complete_quantity, 0)) as goodQuantity, sum(ifnull(outputStat.scrapQty, 0)) as scrapQty, round( case when sum(ifnull(pot.plan_quantity, 0)) = 0 then 0 else (sum(ifnull(pot.complete_quantity, 0)) + sum(ifnull(outputStat.scrapQty, 0))) / sum(ifnull(pot.plan_quantity, 0)) * 100 end, 2 ) as completionStatus from production_operation_task pot left join production_order_routing_operation poro on pot.production_order_routing_operation_id = poro.id left join ( select ppm.production_operation_task_id as taskId, sum(ifnull(ppo.scrap_qty, 0)) as scrapQty from production_product_main ppm left join production_product_output ppo on ppo.production_product_main_id = ppm.id group by ppm.production_operation_task_id ) outputStat on outputStat.taskId = pot.id and date(pot.create_time) >= #{c.startDate} and date(pot.create_time) <= #{c.endDate} and pot.plan_start_time >= #{c.planStartTime} and pot.plan_end_time <= #{c.planEndTime} and pot.production_order_id = #{c.productionOrderId} and pot.production_order_routing_operation_id = #{c.productionOrderRoutingOperationId} and pot.status = #{c.status} and poro.operation_name like concat('%', #{c.processName}, '%') group by poro.operation_name order by min(poro.drag_sort), poro.operation_name