ylrz_his_scrm_java/fs-service/src/main/resources/mapper/company/StatisticManageMapper.xml

<?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.fs.company.mapper.StatisticManageMapper">

    <resultMap id="CompanyDeptUserListMap" type="com.fs.company.domain.CompanyDeptUserInfo">
        <id column="company_id" property="companyId" />
        <result column="company_name" property="companyName"/>
        <result column="dept_id" property="deptId"/>
        <result column="dept_name" property="deptName"/>
        <result column="user_id" property="userId"/>
        <result column="user_name" property="userName"/>
        <result column="nick_name" property="nickName"/>
    </resultMap>

    <select id="getCompanyAndDeptAndDeptUserList" resultMap="CompanyDeptUserListMap">
        SELECT
            ci.company_id,
            ci.company_name,
            cd.dept_id,
            cd.dept_name,
            cu.user_id,
            cu.user_name,
            cu.nick_name
        FROM company AS ci
        LEFT JOIN company_dept AS cd ON ci.company_id = cd.company_id AND cd.STATUS = 0
        LEFT JOIN company_user AS cu ON cu.dept_id = cd.dept_id AND cu.del_flag = 0
        WHERE ci.is_del = 0 AND cd.del_flag = 0
        <if test="companyId != null">
            and ci.company_id = #{companyId}
        </if>
    </select>

    <select id="getStatisticNum" resultType="com.fs.company.dto.CompanyDeptUserInfoDTO">
        WITH t1 AS (
            SELECT
                count(*) AS lineNum
            FROM
                qw_external_contact AS qec
            WHERE
                date_format( qec.create_time, '%y%m%d' ) = date_format(now(), '%y%m%d' )
              AND qec.company_user_id = 327
        ),
        t2 AS (
                 SELECT
                     count( qec.fs_user_id ) AS activeNum
                 FROM
                     qw_external_contact AS qec
                 WHERE
                     date_format( qec.create_time, '%y%m%d' ) = date_format(now(), '%y%m%d' )
                   AND qec.fs_user_id IS NOT NULL
                   AND qec.company_user_id = 327
             ),
             t3 AS ( SELECT count(*) AS completeNum FROM fs_course_watch_log AS fcwl WHERE date_format(fcwl.create_time, '%y%m%d' ) = date_format( now(), '%y%m%d') and fcwl.log_type = 2 AND fcwl.company_user_id = 327 ),
             t4 AS ( SELECT count(*) AS answerNum FROM fs_course_answer_logs AS fcal WHERE date_format(fcal.create_time, '%y%m%d' ) = date_format( now(), '%y%m%d')  and fcal.company_user_id = 327 ),
             t5 AS ( SELECT count(*) AS redPacketNum FROM fs_course_red_packet_log AS fcrpl WHERE date_format(fcrpl.create_time, '%y%m%d' ) = date_format( now(), '%y%m%d' )  and  fcrpl.company_user_id = 327 )
        SELECT * FROM t1,t2,t3,t4,t5
    </select>

    <select id="getStatisticNumByPersonal" resultType="com.fs.company.dto.ComprehensiveStatisticsDTO">
        WITH RECURSIVE date_range AS (
            SELECT #{startTime} AS dt
            UNION ALL
            SELECT DATE_ADD(dt, INTERVAL 1 DAY)
            FROM date_range
            WHERE dt &lt; #{endTime}
        ),
        t1 AS (
            SELECT
            COUNT(qec.id) AS t1_count,
            d.dt AS create_time
            FROM date_range d
            LEFT JOIN qw_external_contact qec
            ON DATE(qec.create_time) = d.dt
        <if test="userIds != null">
            <if test="dimension == 1">
                <choose>
                    <when test="userIds.length > 1 ">
                        AND qec.company_user_id IN (
                        <foreach collection="userIds" item="i" separator=",">
                            #{i}
                        </foreach>
                        )
                    </when>
                    <otherwise>
                        AND qec.company_user_id = #{userIds[0]}
                    </otherwise>
                </choose>
            </if>
            <if test="dimension == 2">
                AND qec.company_id = #{userIds[0]}
            </if>
        </if>
            GROUP BY d.dt
        ),
        t2 AS (
            SELECT
            COUNT(qec.id) AS t2_count,
            d.dt AS create_time
            FROM date_range d
            LEFT JOIN qw_external_contact qec
            ON DATE(qec.create_time) = d.dt
        <if test="userIds != null">
            <if test="dimension == 1">
                <choose>
                    <when test="userIds.length > 1 ">
                        AND qec.company_user_id IN (
                        <foreach collection="userIds" item="i" separator=",">
                            #{i}
                        </foreach>
                        )
                    </when>
                    <otherwise>
                        AND qec.company_user_id = #{userIds[0]}
                    </otherwise>
                </choose>
            </if>
            <if test="dimension == 2">
                AND qec.company_id = #{userIds[0]}
            </if>
        </if>
            AND qec.fs_user_id IS NOT NULL
            GROUP BY d.dt
        ),
        t4 AS (
            SELECT
            d.dt AS create_time,
            COUNT(fcwl.qw_external_contact_id) AS completeNum
            FROM
            date_range d
            LEFT JOIN fs_course_watch_log AS fcwl
            ON DATE(fcwl.create_time) = d.dt
            AND fcwl.log_type = 2
        <if test="userIds != null">
            <if test="dimension == 1">
                <choose>
                    <when test="userIds.length > 1 ">
                        AND fcwl.company_user_id IN (
                        <foreach collection="userIds" item="i" separator=",">
                            #{i}
                        </foreach>
                        )
                    </when>
                    <otherwise>
                        AND fcwl.company_user_id = #{userIds[0]}
                    </otherwise>
                </choose>
            </if>
            <if test="dimension == 2">
                AND fcwl.company_id = #{userIds[0]}
            </if>
        </if>
            GROUP BY d.dt
        ),
        t5 AS (
            SELECT
            d.dt AS create_time,
            COUNT(fcal.log_id) AS answerNum
            FROM
            date_range d
            LEFT JOIN fs_course_answer_logs AS fcal
            ON DATE(fcal.create_time) = d.dt
        <if test="userIds != null">
            <if test="dimension == 1">
                <choose>
                    <when test="userIds.length > 1 ">
                        AND fcal.company_user_id IN (
                        <foreach collection="userIds" item="i" separator=",">
                            #{i}
                        </foreach>
                        )
                    </when>
                    <otherwise>
                        AND fcal.company_user_id = #{userIds[0]}
                    </otherwise>
                </choose>
            </if>
            <if test="dimension == 2">
                AND fcal.company_id = #{userIds[0]}
            </if>
        </if>
            GROUP BY d.dt
        ),
        t6 AS (
            SELECT
            d.dt AS create_time,
            COUNT(fcrpl.log_id) AS redPacketNum
            FROM
            date_range d
            LEFT JOIN fs_course_red_packet_log AS fcrpl
            ON DATE(fcrpl.create_time) = d.dt
        <if test="userIds != null">
            <if test="dimension == 1">
                <choose>
                    <when test="userIds.length > 1 ">
                        AND fcrpl.company_user_id IN (
                        <foreach collection="userIds" item="i" separator=",">
                            #{i}
                        </foreach>
                        )
                    </when>
                    <otherwise>
                        AND fcrpl.company_user_id = #{userIds[0]}
                    </otherwise>
                </choose>
            </if>
            <if test="dimension == 2">
                AND fcrpl.company_id = #{userIds[0]}
            </if>
        </if>
            GROUP BY d.dt
        )
        SELECT
            t1.create_time as dateStr,
            t1.t1_count as lineNum,
            t2.t2_count as activeNum,
            t4.completeNum,
            t5.answerNum,
            t6.redPacketNum
        FROM t1
        INNER JOIN t2 ON t1.create_time = t2.create_time
        INNER JOIN t4 ON t1.create_time = t4.create_time
        INNER JOIN t5 ON t1.create_time = t5.create_time
        INNER JOIN t6 ON t1.create_time = t6.create_time
        ORDER BY t1.create_time
    </select>

    <select id="getCompanyInfo" resultType="com.fs.company.domain.CompanyDeptUserInfo">
        SELECT
            ci.company_id,
            ci.company_name
        FROM
            company AS ci
        WHERE
            ci.is_del = 0
    </select>

    <!-- 基础字段映射（复用） -->
    <sql id="Base_Column_List">
        id, company_id, company_name, dept_id, dept_name, 
        user_id, user_name, nick_name, statistics_time, 
        line_num, active_num, complete_num, answer_num, 
        red_packet_num, red_packet_amount, create_time, update_time
    </sql>

    <!-- 1. 插入数据（全字段插入） -->
    <insert id="insert" parameterType="com.fs.company.domain.ComprehensiveDailyStats">
        INSERT INTO user_daily_stats (
        company_id, company_name, dept_id, dept_name,
        user_id, user_name, nick_name, statistics_time,
        line_num, active_num, complete_num, answer_num,
        red_packet_num, red_packet_amount, create_time, update_time
        ) VALUES (
        #{companyId}, #{companyName}, #{deptId}, #{deptName},
        #{userId}, #{userName}, #{nickName}, #{statisticsTime},
        #{lineNum}, #{activeNum}, #{completeNum}, #{answerNum},
        #{redPacketNum}, #{redPacketAmount}, #{createTime}, #{updateTime}
        )
    </insert>

    <!-- 2. 插入或更新（根据唯一索引uk_user_date，存在则更新，不存在则插入） -->
    <insert id="insertOrUpdate" parameterType="com.fs.company.domain.ComprehensiveDailyStats">
        INSERT INTO user_daily_stats (
            company_id, company_name, dept_id, dept_name,
            user_id, user_name, nick_name, statistics_time,
            line_num, active_num, complete_num, answer_num,
            red_packet_num, red_packet_amount, create_time, update_time
        ) VALUES (
                     #{companyId}, #{companyName}, #{deptId}, #{deptName},
                     #{userId}, #{userName}, #{nickName}, #{statisticsTime},
                     #{lineNum}, #{activeNum}, #{completeNum}, #{answerNum},
                     #{redPacketNum}, #{redPacketAmount}, NOW(), NOW()
                 ) ON DUPLICATE KEY UPDATE
            company_id = VALUES(company_id),
            company_name = VALUES(company_name),
            dept_id = VALUES(dept_id),
            dept_name = VALUES(dept_name),
            user_name = VALUES(user_name),
            nick_name = VALUES(nick_name),
            line_num = VALUES(line_num),
            active_num = VALUES(active_num),
            complete_num = VALUES(complete_num),
            answer_num = VALUES(answer_num),
            red_packet_num = VALUES(red_packet_num),
            red_packet_amount = VALUES(red_packet_amount),
            update_time = NOW()
    </insert>

    <!-- 3. 根据ID更新数据（全字段更新） -->
    <update id="updateById" parameterType="com.fs.company.domain.ComprehensiveDailyStats">
        UPDATE user_daily_stats
        SET
            company_id = #{companyId},
            company_name = #{companyName},
            dept_id = #{deptId},
            dept_name = #{deptName},
            user_id = #{userId},
            user_name = #{userName},
            nick_name = #{nickName},
            statistics_time = #{statisticsTime},
            line_num = #{lineNum},
            active_num = #{activeNum},
            complete_num = #{completeNum},
            answer_num = #{answerNum},
            red_packet_num = #{redPacketNum},
            red_packet_amount = #{redPacketAmount},
            update_time = NOW()
        WHERE id = #{id}
    </update>

    <!-- 4. 根据用户ID和统计日期更新（部分字段更新，按需调整） -->
    <update id="updateByUserAndDate" parameterType="com.fs.company.domain.ComprehensiveDailyStats">
        UPDATE user_daily_stats
        SET
            line_num = #{lineNum},
            active_num = #{activeNum},
            complete_num = #{completeNum},
            answer_num = #{answerNum},
            red_packet_num = #{redPacketNum},
            red_packet_amount = #{redPacketAmount},
            update_time = NOW()
        WHERE user_id = #{userId} AND statistics_time = #{statisticsTime}
    </update>

    <!-- 5. 根据ID查询 -->
    <select id="selectById" resultType="com.fs.company.domain.ComprehensiveDailyStats" parameterType="java.lang.Long">
        SELECT <include refid="Base_Column_List"/> FROM user_daily_stats WHERE id = #{id}
    </select>

    <!-- 6. 根据用户ID和统计日期查询 -->
    <select id="selectByUserAndDate" resultType="com.fs.company.domain.ComprehensiveDailyStats">
        SELECT <include refid="Base_Column_List"/>
        FROM user_daily_stats
        WHERE user_id = #{userId} AND statistics_time = #{statisticsTime}
    </select>

    <!-- 7. 根据公司ID和日期范围查询 -->
    <select id="selectByCompanyAndDateRange" resultType="com.fs.company.domain.ComprehensiveDailyStats">
        SELECT <include refid="Base_Column_List"/>
        FROM user_daily_stats
        WHERE company_id = #{companyId}
        AND statistics_time BETWEEN #{startTime} AND #{endTime}
        ORDER BY statistics_time ASC
    </select>

    <!-- 8. 根据部门ID和日期范围查询 -->
    <select id="selectByDeptAndDateRange" resultType="com.fs.company.domain.ComprehensiveDailyStats">
        SELECT <include refid="Base_Column_List"/>
        FROM user_daily_stats
        WHERE dept_id = #{deptId}
        AND statistics_time BETWEEN #{startTime} AND #{endTime}
        ORDER BY statistics_time ASC
    </select>

    <!-- 9. 删除数据（根据ID） -->
    <delete id="deleteById" parameterType="java.lang.Long">
        DELETE FROM user_daily_stats WHERE id = #{id}
    </delete>

    <!-- 10. 删除数据（根据用户ID和统计日期） -->
    <delete id="deleteByUserAndDate">
        DELETE FROM user_daily_stats WHERE user_id = #{userId} AND statistics_time = #{statisticsTime}
    </delete>

</mapper>