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Add stat card sparkline graphs with timeseries backend endpoint
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Browse Source 
New /search/stats/timeseries endpoint returns bucketed counts/metrics
over a time window using ClickHouse toStartOfInterval(). Frontend
Sparkline component renders SVG polyline + gradient fill on each
stat card, driven by a useStatsTimeseries query hook.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
hsiegeln
2026-03-13 18:20:08 +01:00
parent cccd3f07be
commit 9e6e1b350a
10 changed files with 217 additions and 7 deletions
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11
cameleer3-server-app/src/main/java/com/cameleer3/server/app/controller/SearchController.java
View File

@@ -5,6 +5,7 @@ import com.cameleer3.server.core.search.ExecutionSummary;
import com.cameleer3.server.core.search.SearchRequest;
import com.cameleer3.server.core.search.SearchResult;
import com.cameleer3.server.core.search.SearchService;
import com.cameleer3.server.core.search.StatsTimeseries;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.tags.Tag;
import org.springframework.http.ResponseEntity;
@@ -72,4 +73,14 @@ public class SearchController {
public ResponseEntity<ExecutionStats> stats() {
return ResponseEntity.ok(searchService.stats());
}
@GetMapping("/stats/timeseries")
@Operation(summary = "Bucketed time-series stats over a time window")
public ResponseEntity<StatsTimeseries> timeseries(
@RequestParam Instant from,
@RequestParam(required = false) Instant to,
@RequestParam(defaultValue = "24") int buckets) {
Instant end = to != null ? to : Instant.now();
return ResponseEntity.ok(searchService.timeseries(from, end, buckets));
}
}

33
cameleer3-server-app/src/main/java/com/cameleer3/server/app/search/ClickHouseSearchEngine.java
View File

@@ -5,9 +5,11 @@ import com.cameleer3.server.core.search.ExecutionSummary;
import com.cameleer3.server.core.search.SearchEngine;
import com.cameleer3.server.core.search.SearchRequest;
import com.cameleer3.server.core.search.SearchResult;
import com.cameleer3.server.core.search.StatsTimeseries;
import org.springframework.jdbc.core.JdbcTemplate;
import java.sql.Timestamp;
import java.time.Duration;
import java.time.Instant;
import java.util.ArrayList;
import java.util.List;
@@ -99,6 +101,37 @@ public class ClickHouseSearchEngine implements SearchEngine {
active != null ? active : 0L);
}
@Override
public StatsTimeseries timeseries(Instant from, Instant to, int bucketCount) {
long intervalSeconds = Duration.between(from, to).getSeconds() / bucketCount;
if (intervalSeconds < 1) intervalSeconds = 1;
String sql = "SELECT " +
"toStartOfInterval(start_time, INTERVAL " + intervalSeconds + " SECOND) AS bucket, " +
"count() AS total_count, " +
"countIf(status = 'FAILED') AS failed_count, " +
"avg(duration_ms) AS avg_duration_ms, " +
"quantile(0.99)(duration_ms) AS p99_duration_ms, " +
"countIf(status = 'RUNNING') AS active_count " +
"FROM route_executions " +
"WHERE start_time >= ? AND start_time <= ? " +
"GROUP BY bucket " +
"ORDER BY bucket";
List<StatsTimeseries.TimeseriesBucket> buckets = jdbcTemplate.query(sql, (rs, rowNum) ->
new StatsTimeseries.TimeseriesBucket(
rs.getTimestamp("bucket").toInstant(),
rs.getLong("total_count"),
rs.getLong("failed_count"),
rs.getLong("avg_duration_ms"),
rs.getLong("p99_duration_ms"),
rs.getLong("active_count")
),
Timestamp.from(from), Timestamp.from(to));
return new StatsTimeseries(buckets);
}
private void buildWhereClause(SearchRequest req, List<String> conditions, List<Object> params) {
if (req.status() != null && !req.status().isBlank()) {
String[] statuses = req.status().split(",");