feat(production): 新增生产工单管理功能 - 创建 ProductionOperationTask 实体类定义工单数据结构 - 实现 ...

liding

9 天以前 fe1b02a121c173e9b2d56bbe5a1982e0e69e0548

 src/main/resources/mapper/production/ProductionOperationTaskMapper.xml

@@ -5,7 +5,7 @@
    <!-- 通用查询映射结果 -->
    <resultMap id="BaseResultMap" type="com.ruoyi.production.pojo.ProductionOperationTask">
        <id column="id" property="id" />
        <result column="technology_routing_operation_id" property="technologyRoutingOperationId" />
        <result column="production_order_routing_operation_id" property="productionOrderRoutingOperationId" />
        <result column="create_time" property="createTime" />
        <result column="update_time" property="updateTime" />
        <result column="work_order_no" property="workOrderNo" />
@@ -21,6 +21,43 @@
        <result column="dept_id" property="deptId" />
    </resultMap>

    <select id="pageProductionOperationTask" resultType="com.ruoyi.production.bean.vo.ProductionOperationTaskVo">
        select pot.*,
               po.nps_no as npsNo,
               p.product_name as productName,
               pm.model as model,
               pm.unit as unit,
               poro.operation_name as operationName,
        ROUND(pot.complete_quantity / pot.plan_quantity * 100, 2) AS completionStatus,
        CASE
            WHEN pot.work_order_no LIKE 'FG%' THEN '返工返修'
            ELSE '正常'
            END AS work_order_type
        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>
            <if test="c != null and c.id != null">
                and pot.id = #{c.id}
            </if>
            <if test="c != null and c.productionOrderId != null">
                and pot.production_order_id = #{c.productionOrderId}
            </if>
            <if test="c != null and c.productionOrderRoutingOperationId != null">
                and pot.production_order_routing_operation_id = #{c.productionOrderRoutingOperationId}
            </if>
            <if test="c != null and c.status != null">
                and pot.status = #{c.status}
            </if>
            <if test="c != null and c.workOrderNo != null and c.workOrderNo != ''">
                and pot.work_order_no like concat('%', #{c.workOrderNo}, '%')
            </if>
        </where>
        order by pot.id desc
    </select>

    <select id="selectTaskStatisticsByDate" resultType="com.ruoyi.home.dto.ProductionTaskStatisticsDto">
        select pot.id,
               pot.work_order_no,
@@ -30,17 +67,16 @@
               pot.actual_end_time as actualEndTime,
               pot.plan_quantity as planQuantity,
               ifnull(pot.complete_quantity, 0) as completeQuantity,
               top2.name as processName,
               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 product_model pm on po.product_model_id = pm.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 technology_routing_operation tro on pot.technology_routing_operation_id = tro.id
                 left join technology_operation top2 on tro.technology_operation_id = top2.id
        where date(pot.create_time) between #{startDate} and #{endDate}
        order by pot.create_time desc
    </select>
@@ -55,16 +91,15 @@
    </select>

    <select id="calculateProductionStatistics" resultType="com.ruoyi.home.dto.processDataProductionStatisticsDto">
        select top2.name as processName,
        select poro.operation_name as processName,
               sum(ifnull(ppi.input_quantity, 0)) as totalInput,
               sum(ifnull(ppo.scrap_qty, 0)) as totalScrap,
               sum(ifnull(ppo.quantity, 0) - ifnull(ppo.scrap_qty, 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
                 inner join technology_routing_operation tro on pot.technology_routing_operation_id = tro.id
                 inner join technology_operation top2 on tro.technology_operation_id = top2.id
                 left join production_product_input ppi on ppi.production_product_main_id = ppm.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
        <where>
            <if test="startDateTime != null">
                and ppo.create_time &gt;= #{startDateTime}
@@ -76,13 +111,13 @@
                and ppm.create_user = #{userId}
            </if>
            <if test="processIds != null and processIds.size() > 0">
                and top2.id in
                and poro.technology_operation_id in
                <foreach collection="processIds" item="id" open="(" separator="," close=")">
                    #{id}
                </foreach>
            </if>
        </where>
        group by top2.id, top2.name
        group by poro.technology_operation_id, poro.operation_name
    </select>

</mapper>