设备掉线，小时和昨日邮件发送

jinpengyong

2021-11-23 4108fd24ac888934a23e9b9129c4392baa2ffb94

 src/main/resources/mapper/HistoryHourlyMapper.xml

@@ -14,17 +14,33 @@
    <select id="getHourlySensorData" resultType="java.util.LinkedHashMap">
        SELECT
        h.mac,
        <foreach  collection="sensorKeys" separator="," item="sensorKey">
            AVG(json->'$.${sensorKey}[0]') AS '${sensorKey}',
            MIN(json->'$.${sensorKey}[1]') AS 'MIN${sensorKey}',
            MAX(json->'$.${sensorKey}[2]') AS 'MAX${sensorKey}'
        <foreach collection="sensorKeys" separator="," item="sensorKey">
            <choose >
                <when test="sensorKey=='e23'">
                    ROUND((CASE    WHEN AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))<![CDATA[>]]>0 AND AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI()))<![CDATA[>]]>0
                    THEN ATAN(AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))/AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI())))*180/PI()
                    WHEN AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))>0 AND AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI()))<![CDATA[<]]>0
                    THEN (ATAN(AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))/AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI())))*180/PI())+180
                    WHEN AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))<![CDATA[<]]>0 AND AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI()))<![CDATA[<]]>0
                    THEN (ATAN(AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))/AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI())))*180/PI())+180
                    ELSE (ATAN(AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))/AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI())))*180/PI())+360
                    END),3) AS '${sensorKey}',
                    MIN(json->'$.${sensorKey}[1]') AS 'MIN${sensorKey}',
                    MAX(json->'$.${sensorKey}[2]') AS 'MAX${sensorKey}'
                </when>
                <otherwise>
                    AVG(json->'$.${sensorKey}[0]') AS '${sensorKey}',
                    MIN(json->'$.${sensorKey}[1]') AS 'MIN${sensorKey}',
                    MAX(json->'$.${sensorKey}[2]') AS 'MAX${sensorKey}'
                </otherwise>
            </choose>
        </foreach>
        FROM
        history_hourly h
        WHERE
        h.time >= #{start}
        AND h.time <![CDATA[<]]> #{end}
        AND   h.mac in
        AND h.mac in
        <foreach collection="macs" open="(" separator="," close=")"
                 item="mac">
            #{mac}
@@ -33,4 +49,57 @@
        h.mac
    </select>

    <select id="getHourlySensorDataToCalculateO3" resultType="java.util.LinkedHashMap">
        SELECT
        h.mac,
        <foreach collection="sensorKeys" separator="," item="sensorKey">
            AVG(json->'$.${sensorKey}[0]') AS '${sensorKey}',
            MIN(json->'$.${sensorKey}[1]') AS 'MIN${sensorKey}',
            MAX(json->'$.${sensorKey}[2]') AS 'MAX${sensorKey}'
        </foreach>
        FROM
        history_hourly h
        WHERE
        h.time = #{time}
        AND h.mac in
        <foreach collection="macList" open="(" separator="," close=")"
                 item="mac">
            #{mac}
        </foreach>
        group by
        h.mac
    </select>

    <insert id="insertHistoryO3Hourly">
        insert into
        history_hourly_o3
        values
        <foreach collection="list" item="map" separator=",">
            (#{map.mac},#{map.time},#{map.json})
        </foreach>
    </insert>

    <select id="getBeamByMacs" resultType="java.util.Map">
        SELECT
        DATE_FORMAT(h.time,#{typeFormat}) time,
        avg(h.json->'$.e12[0]') 'beam'
        FROM history_hourly h
        WHERE h.json->'$.e12[0]' is not null
        and h.mac in
        <foreach collection="macs" open="(" separator="," close=")" item="mac">
            #{mac}
        </foreach>
        and h.time in
        <foreach collection="times" open="(" separator="," close=")" item="time">
            #{time}
        </foreach>
        group by h.time
    </select>

    <select id="selectCountByMac" resultType="java.lang.Integer">
        SELECT count(1) FROM history_hourly
        WHERE mac = #{mac}
        AND `time` >= #{start}
        AND `time` <![CDATA[<]]> #{end}
    </select>
</mapper>