feat: add treemap and punchcard heatmap to dashboard L1/L2 (#94)
Treemap: rectangle area = transaction volume, color = SLA compliance (green→red). Shows apps at L1, routes at L2. Click navigates deeper. Punchcard heatmap: 7-day rolling weekday x 24-hour grid showing transaction volume and error patterns. Two side-by-side views (transactions + errors) reveal temporal clustering. Backend: new GET /search/stats/punchcard endpoint aggregating stats_1m_all/app by DOW x hour over rolling 7 days. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -11,6 +11,7 @@ import com.cameleer3.server.core.search.SearchResult;
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import com.cameleer3.server.core.search.SearchService;
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import com.cameleer3.server.core.search.StatsTimeseries;
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import com.cameleer3.server.core.search.TopError;
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import com.cameleer3.server.core.storage.StatsStore;
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import io.swagger.v3.oas.annotations.Operation;
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import io.swagger.v3.oas.annotations.tags.Tag;
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import org.springframework.http.ResponseEntity;
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@@ -162,6 +163,15 @@ public class SearchController {
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return ResponseEntity.ok(searchService.timeseriesGroupedByRoute(from, end, buckets, application));
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}
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@GetMapping("/stats/punchcard")
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@Operation(summary = "Transaction punchcard: weekday x hour grid (rolling 7 days)")
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public ResponseEntity<List<StatsStore.PunchcardCell>> punchcard(
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@RequestParam(required = false) String application) {
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Instant to = Instant.now();
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Instant from = to.minus(java.time.Duration.ofDays(7));
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return ResponseEntity.ok(searchService.punchcard(from, to, application));
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}
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@GetMapping("/errors/top")
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@Operation(summary = "Top N errors with velocity trend")
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public ResponseEntity<List<TopError>> topErrors(
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@@ -399,4 +399,30 @@ public class PostgresStatsStore implements StatsStore {
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Integer count = jdbc.queryForObject(sql, Integer.class, params.toArray());
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return count != null ? count : 0;
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}
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// ── Punchcard ─────────────────────────────────────────────────────────
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@Override
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public List<PunchcardCell> punchcard(Instant from, Instant to, String applicationName) {
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String view = applicationName != null ? "stats_1m_app" : "stats_1m_all";
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String sql = "SELECT EXTRACT(DOW FROM bucket) AS weekday, " +
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"EXTRACT(HOUR FROM bucket) AS hour, " +
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"COALESCE(SUM(total_count), 0) AS total_count, " +
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"COALESCE(SUM(failed_count), 0) AS failed_count " +
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"FROM " + view + " WHERE bucket >= ? AND bucket < ?";
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List<Object> params = new ArrayList<>();
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params.add(Timestamp.from(from));
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params.add(Timestamp.from(to));
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if (applicationName != null) {
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sql += " AND application_name = ?";
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params.add(applicationName);
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}
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sql += " GROUP BY weekday, hour ORDER BY weekday, hour";
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return jdbc.query(sql, (rs, rowNum) -> new PunchcardCell(
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rs.getInt("weekday"), rs.getInt("hour"),
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rs.getLong("total_count"), rs.getLong("failed_count")),
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params.toArray());
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}
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}
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