feat: 首页工序数据生产统计明细、质量统计接口

gongchunyi

19 小时以前 12f0d998913119295fb3e3a851d925e7cf704fe5

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

@@ -4,11 +4,7 @@

    <select id="listPage" resultType="com.ruoyi.production.dto.ProductProcessDto">
        SELECT
        p.id,
        p.name,
        p.no,
        p.remark,
        p.salary_quota
        *
        FROM
        product_process p
        <where>
@@ -21,4 +17,37 @@
        </where>
        order by p.id asc
    </select>

    <select id="calculateProductionStatistics" resultType="com.ruoyi.home.dto.processDataProductionStatisticsDto">
        SELECT
        pp.name AS processName,
        SUM((ppo.quantity + ppo.scrap_qty) * pp.salary_quota) AS totalInput,
        SUM(ppo.scrap_qty * pp.salary_quota) AS totalScrap,
        SUM(ppo.quantity * pp.salary_quota) 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
        <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>