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
This commit is contained in:
2026-01-16 20:15:41 +08:00
parent 4fac129c3a
commit 6a8f679540
6 changed files with 188 additions and 8 deletions

View File

@@ -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);
}

View File

@@ -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;
});
}
}

View File

@@ -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);
}
}

View File

@@ -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
*/

View File

@@ -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
return mergeChartData(statsData, orderData);
// 3. 获取打印样片页面访问数据
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
return mergeChartData(statsData, orderData);
// 3. 获取打印样片页面访问数据
List<HashMap<String, String>> scanTvData = statsQueryService.printerFromSampleChartByDate(query);
// 4. 合并数据
return mergeChartData(statsData, orderData, scanTvData);
}
/**
* 合并统计数据订单数据
* 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;