feat(clickhouse): 添加打印样片页面访问统计功能

- 实现按小时统计访问打印样片页面人数的功能
- 实现按日期统计访问打印样片页面人数的功能
- 在ClickHouse查询服务中添加相应的SQL查询方法
- 在MySQL查询服务中添加接口实现
- 更新统计图表合并逻辑，支持打印样片访问数据展示
- 修改mergeChartData方法以支持三组数据合并
- 在MyBatis映射文件中添加对应的SQL查询语句
- 完善相关接口定义和文档注释

src/main/java/com/ycwl/basic/clickhouse/service/StatsQueryService.java

@@ -89,4 +89,16 @@ public interface StatsQueryService {
      * 返回格式: [{t: "MM-dd", count: "xxx"}, ...]
      */
     List<HashMap<String, String>> scanCodeMemberChartByDate(CommonQueryReq query);
+
+    /**
+     * 按小时统计访问打印样片页面人数
+     * 返回格式: [{t: "MM-dd HH", count: "xxx"}, ...]
+     */
+    List<HashMap<String, String>> printerFromSampleChartByHour(CommonQueryReq query);
+
+    /**
+     * 按日期统计访问打印样片页面人数
+     * 返回格式: [{t: "MM-dd", count: "xxx"}, ...]
+     */
+    List<HashMap<String, String>> printerFromSampleChartByDate(CommonQueryReq query);
 }

src/main/java/com/ycwl/basic/clickhouse/service/impl/ClickHouseStatsQueryServiceImpl.java

@@ -396,4 +396,62 @@ public class ClickHouseStatsQueryServiceImpl implements StatsQueryService {
             return map;
         });
     }
+
+    @Override
+    public List<HashMap<String, String>> printerFromSampleChartByHour(CommonQueryReq query) {
+        StringBuilder sql = new StringBuilder();
+        sql.append("SELECT formatDateTime(toStartOfHour(s.create_time), '%m-%d %H') AS t, ");
+        sql.append("       uniqExact(s.member_id) AS count ");
+        sql.append("FROM t_stats_record r ");
+        sql.append("INNER JOIN t_stats s ON r.trace_id = s.trace_id ");
+        sql.append("WHERE r.action = 'LOAD' ");
+        sql.append("AND r.identifier = 'pages/printer/hello' ");
+        if (query.getScenicId() != null) {
+            sql.append("AND JSONExtractString(r.params, 'scenicId') = '").append(query.getScenicId()).append("' ");
+        }
+        if (query.getStartTime() != null) {
+            sql.append("AND r.create_time >= ").append(formatDateTime(query.getStartTime())).append(" ");
+        }
+        if (query.getEndTime() != null) {
+            sql.append("AND r.create_time <= ").append(formatDateTime(query.getEndTime())).append(" ");
+        }
+        sql.append("GROUP BY toStartOfHour(s.create_time) ");
+        sql.append("ORDER BY toStartOfHour(s.create_time)");
+
+        return getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
+            HashMap<String, String> map = new HashMap<>();
+            map.put("t", rs.getString("t"));
+            map.put("count", rs.getString("count"));
+            return map;
+        });
+    }
+
+    @Override
+    public List<HashMap<String, String>> printerFromSampleChartByDate(CommonQueryReq query) {
+        StringBuilder sql = new StringBuilder();
+        sql.append("SELECT formatDateTime(toStartOfDay(s.create_time), '%m-%d') AS t, ");
+        sql.append("       uniqExact(s.member_id) AS count ");
+        sql.append("FROM t_stats_record r ");
+        sql.append("INNER JOIN t_stats s ON r.trace_id = s.trace_id ");
+        sql.append("WHERE r.action = 'LOAD' ");
+        sql.append("AND r.identifier = 'pages/printer/hello' ");
+        if (query.getScenicId() != null) {
+            sql.append("AND JSONExtractString(r.params, 'scenicId') = '").append(query.getScenicId()).append("' ");
+        }
+        if (query.getStartTime() != null) {
+            sql.append("AND r.create_time >= ").append(formatDateTime(query.getStartTime())).append(" ");
+        }
+        if (query.getEndTime() != null) {
+            sql.append("AND r.create_time <= ").append(formatDateTime(query.getEndTime())).append(" ");
+        }
+        sql.append("GROUP BY toStartOfDay(s.create_time) ");
+        sql.append("ORDER BY toStartOfDay(s.create_time)");
+
+        return getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
+            HashMap<String, String> map = new HashMap<>();
+            map.put("t", rs.getString("t"));
+            map.put("count", rs.getString("count"));
+            return map;
+        });
+    }
 }

src/main/java/com/ycwl/basic/clickhouse/service/impl/MySqlStatsQueryServiceImpl.java

@@ -98,4 +98,14 @@ public class MySqlStatsQueryServiceImpl implements StatsQueryService {
     public List<HashMap<String, String>> scanCodeMemberChartByDate(CommonQueryReq query) {
         return statisticsMapper.scanCodeMemberChartByDate(query);
     }
+
+    @Override
+    public List<HashMap<String, String>> printerFromSampleChartByHour(CommonQueryReq query) {
+        return statisticsMapper.printerFromSampleChartByHour(query);
+    }
+
+    @Override
+    public List<HashMap<String, String>> printerFromSampleChartByDate(CommonQueryReq query) {
+        return statisticsMapper.printerFromSampleChartByDate(query);
+    }
 }

src/main/java/com/ycwl/basic/mapper/StatisticsMapper.java

@@ -115,6 +115,16 @@ public interface StatisticsMapper {
      */
     List<HashMap<String, String>> scanCodeMemberChartByDate(CommonQueryReq query);
 
+    /**
+     * 按小时统计访问打印样片页面人数
+     */
+    List<HashMap<String, String>> printerFromSampleChartByHour(CommonQueryReq query);
+
+    /**
+     * 按日期统计访问打印样片页面人数
+     */
+    List<HashMap<String, String>> printerFromSampleChartByDate(CommonQueryReq query);
+
     /**
      * 按小时统计订单数据
      */

src/main/java/com/ycwl/basic/service/pc/impl/StatisticsServiceImpl.java

@@ -83,8 +83,11 @@ public class StatisticsServiceImpl implements StatisticsService {
         // 2. 从 MySQL 获取订单数据
         List<HashMap<String, String>> orderData = statisticsMapper.orderChartByHourForMerge(query);
 
-        // 3. 合并数据
+        // 3. 获取打印样片页面访问数据
-        return mergeChartData(statsData, orderData);
+        List<HashMap<String, String>> scanTvData = statsQueryService.printerFromSampleChartByHour(query);
+
+        // 4. 合并数据
+        return mergeChartData(statsData, orderData, scanTvData);
     }
 
     /**
@@ -97,21 +100,26 @@ public class StatisticsServiceImpl implements StatisticsService {
         // 2. 从 MySQL 获取订单数据
         List<HashMap<String, String>> orderData = statisticsMapper.orderChartByDateForMerge(query);
 
-        // 3. 合并数据
+        // 3. 获取打印样片页面访问数据
-        return mergeChartData(statsData, orderData);
+        List<HashMap<String, String>> scanTvData = statsQueryService.printerFromSampleChartByDate(query);
+
+        // 4. 合并数据
+        return mergeChartData(statsData, orderData, scanTvData);
     }
 
     /**
-     * 合并统计数据和订单数据
+     * 合并统计数据、订单数据和打印样片访问数据
      * 统计数据包含: t, count
      * 订单数据包含: t, orderCount, orderAmount
-     * 合并结果: t, count, orderCount, orderAmount
+     * 打印样片数据包含: t, count
+     * 合并结果: t, count, orderCount, orderAmount, scanTvCount
      */
     private List<HashMap<String, String>> mergeChartData(
             List<HashMap<String, String>> statsData,
-            List<HashMap<String, String>> orderData) {
+            List<HashMap<String, String>> orderData,
+            List<HashMap<String, String>> scanTvData) {
 
-        // 将订单数据转为 Map 以便快速查找（使用 Object 类型处理数值）
+        // 将订单数据转为 Map 以便快速查找
         Map<String, HashMap<String, String>> orderMap = orderData.stream()
                 .collect(Collectors.toMap(
                         m -> String.valueOf(m.get("t")),
@@ -119,9 +127,19 @@ public class StatisticsServiceImpl implements StatisticsService {
                         (existing, replacement) -> existing
                 ));
 
+        // 将打印样片数据转为 Map 以便快速查找
+        Map<String, HashMap<String, String>> scanTvMap = scanTvData.stream()
+                .collect(Collectors.toMap(
+                        m -> String.valueOf(m.get("t")),
+                        m -> m,
+                        (existing, replacement) -> existing
+                ));
+
         // 合并数据
         for (HashMap<String, String> stat : statsData) {
             String timeKey = String.valueOf(stat.get("t"));
+
+            // 合并订单数据
             HashMap<String, String> order = orderMap.get(timeKey);
             if (order != null) {
                 stat.put("orderCount", String.valueOf(order.get("orderCount")));
@@ -130,6 +148,14 @@ public class StatisticsServiceImpl implements StatisticsService {
                 stat.put("orderCount", "0");
                 stat.put("orderAmount", "0");
             }
+
+            // 合并打印样片访问数据
+            HashMap<String, String> scanTv = scanTvMap.get(timeKey);
+            if (scanTv != null) {
+                stat.put("scanTvCount", String.valueOf(scanTv.get("count")));
+            } else {
+                stat.put("scanTvCount", "0");
+            }
         }
 
         return statsData;

src/main/resources/mapper/StatisticsMapper.xml

@@ -456,6 +456,70 @@
         ) scan_data ON scan_data.date_key = date_series.DATE_KEY
         ORDER BY date_series.date_value
     </select>
+    <select id="printerFromSampleChartByHour" resultType="java.util.HashMap">
+        WITH RECURSIVE hour_series AS (
+            SELECT
+                #{startTime} AS hour_time,
+                DATE_FORMAT(#{startTime}, '%m-%d %H') AS HOUR
+            UNION ALL
+            SELECT
+                DATE_ADD(hour_time, INTERVAL 1 HOUR) AS hour_time,
+                DATE_FORMAT(DATE_ADD(hour_time, INTERVAL 1 HOUR), '%m-%d %H') AS HOUR
+            FROM hour_series
+            WHERE DATE_ADD(hour_time, INTERVAL 1 HOUR) &lt;= #{endTime}
+        )
+        SELECT
+        hour_series.HOUR as t,
+        COALESCE(scan_data.member_count, 0) AS count
+        FROM hour_series
+        LEFT JOIN (
+            SELECT
+            DATE_FORMAT(s.create_time, '%m-%d %H') AS hour_key,
+            COUNT(DISTINCT s.member_id) AS member_count
+            FROM `t_stats_record` r
+            LEFT JOIN `t_stats` s ON r.trace_id = s.trace_id
+            WHERE r.action = 'LOAD'
+            AND r.identifier = 'pages/printer/hello'
+            <if test="scenicId != null">
+                AND JSON_EXTRACT(r.params, '$.scenicId') = #{scenicId}
+            </if>
+            AND s.create_time BETWEEN #{startTime} AND #{endTime}
+            GROUP BY DATE_FORMAT(s.create_time, '%m-%d %H')
+        ) scan_data ON scan_data.hour_key = hour_series.HOUR
+        ORDER BY hour_series.hour_time
+    </select>
+    <select id="printerFromSampleChartByDate" resultType="java.util.HashMap">
+        WITH RECURSIVE date_series AS (
+            SELECT
+                DATE(#{startTime}) AS date_value,
+                DATE_FORMAT(#{startTime}, '%m-%d') AS DATE_KEY
+            UNION ALL
+            SELECT
+                DATE_ADD(date_value, INTERVAL 1 DAY) AS date_value,
+                DATE_FORMAT(DATE_ADD(date_value, INTERVAL 1 DAY), '%m-%d') AS DATE_KEY
+            FROM date_series
+            WHERE DATE_ADD(date_value, INTERVAL 1 DAY) &lt;= DATE(#{endTime})
+        )
+        SELECT
+        date_series.DATE_KEY as t,
+        COALESCE(scan_data.member_count, 0) AS count
+        FROM date_series
+        LEFT JOIN (
+            SELECT
+            DATE_FORMAT(s.create_time, '%m-%d') AS date_key,
+            COUNT(DISTINCT s.member_id) AS member_count
+            FROM `t_stats_record` r
+            LEFT JOIN `t_stats` s ON r.trace_id = s.trace_id
+            WHERE r.action = 'LOAD'
+            AND r.identifier = 'pages/printer/hello'
+            <if test="scenicId != null">
+                AND JSON_EXTRACT(r.params, '$.scenicId') = #{scenicId}
+            </if>
+            AND s.create_time BETWEEN #{startTime} AND #{endTime}
+            GROUP BY DATE_FORMAT(s.create_time, '%m-%d')
+        ) scan_data ON scan_data.date_key = date_series.DATE_KEY
+        ORDER BY date_series.date_value
+    </select>
     <select id="orderChartByHourForMerge" resultType="java.util.HashMap">
         WITH RECURSIVE hour_series AS (
             SELECT