gongchunyi
2026-04-16 18cfe1dfbe035089d1f132850004a74641f253b5
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<?xml version="1.0" encoding="UTF-8" ?> <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
        "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.ruoyi.production.mapper.ProductProcessMapper">
 
    <select id="listPage" resultType="com.ruoyi.production.dto.ProductProcessDto">
        SELECT
        pp.id,
        pp.no,
        pp.remark,
        pp.salary_quota,
        pp.is_quality,
        pp.planner_id,
        pp.planner_name,
        pp.update_time,
        pp.type,
        p.product_name AS name,
        pm.model AS productModel
        FROM
        product_process pp
        left join product_model pm ON pm.id = pp.product_model_id
        left join product p ON p.id = pm.product_id
        <where>
            <if test="productProcessDto.name != null and productProcessDto.name != '' ">
                AND p.product_name LIKE CONCAT('%',#{productProcessDto.name},'%')
            </if>
            <if test="productProcessDto.no != null and productProcessDto.no != '' ">
                AND pp.no LIKE CONCAT('%',#{productProcessDto.no},'%')
            </if>
            <if test="productProcessDto.type != null">
                AND pp.type = #{productProcessDto.type}
            </if>
        </where>
        order by pp.id asc
    </select>
 
    <select id="calculateProductionStatistics" resultType="com.ruoyi.home.dto.processDataProductionStatisticsDto">
        SELECT
        pp.name AS processName,
        SUM(pi.quantity) AS totalInput,
        SUM(distinct ppo.scrap_qty) AS totalScrap,
        SUM(distinct (ppo.quantity - ppo.scrap_qty)) AS totalOutput
        FROM
        production_product_output ppo
        INNER JOIN production_product_main ppm ON ppo.product_main_id = ppm.id
        INNER JOIN product_process_route_item ppri ON ppm.product_process_route_item_id = ppri.id
        INNER JOIN product_process pp ON ppri.process_id = pp.id
        INNER JOIN production_product_input pi ON pi.product_main_id = ppm.id
        <where>
            <if test="startDateTime != null">
                AND ppo.create_time &gt;= #{startDateTime}
            </if>
            <if test="endDateTime != null">
                AND ppo.create_time &lt;= #{endDateTime}
            </if>
            <if test="userId != null">
                AND ppm.user_id = #{userId}
            </if>
            <if test="processIds != null and processIds.size() > 0">
                AND pp.id IN
                <foreach collection="processIds" item="id" open="(" separator="," close=")">
                    #{id}
                </foreach>
            </if>
        </where>
        GROUP BY
        pp.id,
        pp.name
    </select>
</mapper>