fix(traefik): the rows page reads every router's history in one index-only query (#5355)

#5355 "Traefik page doesn't load": /plugins/traefik/rows took 12-28 s.
It ran a query per router ever seen, and each raw row in the range was a
heap fetch. traefik_004 rebuilds the router index to cover the charted
columns and indexes scraped_at for the request chart; router_history reads
the current routers' buckets in one query.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

plugins/traefik/routes.py

@@ -180,44 +180,21 @@ async def rows():
     now = datetime.now(timezone.utc)
     thresholds = current_app.config.get("THRESHOLDS", {})
 
+    scrape = current_app.config["PLUGINS"]["traefik"]["scrape_interval_seconds"]
+
     async with current_app.db_sessionmaker() as db:
-        # Every known router, with its most recent raw row
-        newest = {m.router_name: m for m in await latest_per_router(db)}
-        routers = sorted(newest)
+        # Every known router, with its most recent raw row; a router Traefik
+        # stopped reporting gets no sparklines, so its history is not read.
+        newest = await latest_per_router(db)
+        current, gone = gone_routers([{"name": m.router_name, "latest": m} for m in newest], scrape)
 
-        b_secs = bucket_seconds(since)
-        bucket_col = _time_bucket(TraefikMetric.scraped_at, b_secs)
-
-        router_data = []
-        for router in routers:
-            # Bucketed history for sparklines — always ~80 points regardless of range
-            result = await db.execute(
-                select(
-                    func.avg(TraefikMetric.request_rate).label("request_rate"),
-                    func.avg(TraefikMetric.latency_p95_ms).label("latency_p95_ms"),
-                    func.avg(TraefikMetric.error_rate_5xx_pct).label("error_rate_5xx_pct"),
-                    func.min(TraefikMetric.scraped_at).label("scraped_at"),
-                    bucket_col,
-                )
-                .where(TraefikMetric.router_name == router)
-                .where(TraefikMetric.scraped_at >= since)
-                .group_by(bucket_col)
-                .order_by(bucket_col)
-            )
-            history = result.all()
-
-            latest = newest[router]
-
-            state, why = router_state(latest, thresholds)
-            router_data.append({
-                "name": router,
-                "latest": latest,
-                "state": state,
-                "why": why,
-                "sparkline_req": _sparkline([r.request_rate for r in history]),
-                "sparkline_p95": _sparkline([r.latency_p95_ms for r in history]),
-                "sparkline_5xx": _sparkline([r.error_rate_5xx_pct for r in history]),
-            })
+        history = await router_history(db, [r["name"] for r in current], since, bucket_seconds(since))
+        for r in current:
+            points = history[r["name"]]
+            r["state"], r["why"] = router_state(r["latest"], thresholds)
+            r["sparkline_req"] = _sparkline([p.request_rate for p in points])
+            r["sparkline_p95"] = _sparkline([p.latency_p95_ms for p in points])
+            r["sparkline_5xx"] = _sparkline([p.error_rate_5xx_pct for p in points])
 
         # Latest global stat (always most recent, not range-filtered)
         result = await db.execute(
@@ -233,8 +210,6 @@ async def rows():
         )
         raw_certs = result.scalars().all()
 
-    scrape = current_app.config["PLUGINS"]["traefik"]["scrape_interval_seconds"]
-    current, gone = gone_routers(router_data, scrape)
     served, old = current_certs(raw_certs, scrape)
     domains = router_domains()
 
@@ -382,6 +357,34 @@ def _time_bucket(column, seconds: int):
                          func.to_timestamp(0)).label("bucket")
 
 
+async def router_history(db, names: list[str], since, bucket_secs: int) -> dict[str, list]:
+    """{router: [rows of request_rate, latency_p95_ms, error_rate_5xx_pct]}
+    per `bucket_secs` window since `since`, oldest first: one query for every
+    router, answered from the covering (router_name, scraped_at) index
+    (traefik_004). It was a query per router, each row a heap read, which
+    took the rows page to 12-28 s."""
+    history: dict[str, list] = {n: [] for n in names}
+    if not history:
+        return history
+    bucket_col = _time_bucket(TraefikMetric.scraped_at, bucket_secs)
+    result = await db.execute(
+        select(
+            TraefikMetric.router_name,
+            func.avg(TraefikMetric.request_rate).label("request_rate"),
+            func.avg(TraefikMetric.latency_p95_ms).label("latency_p95_ms"),
+            func.avg(TraefikMetric.error_rate_5xx_pct).label("error_rate_5xx_pct"),
+            bucket_col,
+        )
+        .where(TraefikMetric.router_name.in_(names))
+        .where(TraefikMetric.scraped_at >= since)
+        .group_by(TraefikMetric.router_name, bucket_col)
+        .order_by(TraefikMetric.router_name, bucket_col)
+    )
+    for row in result.all():
+        history[row.router_name].append(row)
+    return history
+
+
 async def request_history(db, since, bucket_seconds: int) -> list[dict]:
     """[{"at", "req_rate", "err_pct"}] per time bucket since `since`: each
     scrape summed over routers (the total req/s), averaged over the bucket;