Bugfix: Flickering overview charts because of bad choice of point

reducing method

AGENTS.md

@@ -77,9 +77,10 @@ agent's own shell command line and kills the session.
   state.
 - `iw dev <if> link` prints `SSID: name` **unquoted**; the working regex is
   `SSID:\s+(\S.*)` (a `$` anchor fails without MULTILINE).
-- `/api/history` pads series with `null` for samples missing a key so all
+- `/api/history` window-averages the ring buffer down to at most
-  series stay aligned with the timestamps — keep that behaviour if you touch
+  `chart_max_points` (default 200) points, emitting `{avg, min, max}` per key,
-  it.
+  and pads each of the three arrays with `null` for windows missing a key so
+  they stay aligned with the timestamps — keep that behaviour if you touch it.
 - AMD sysfs: GPU busy/VRAM/temp under
   `/sys/class/drm/card*/device` (+ `hwmon`), CPU temp from the `k10temp`
   hwmon (fallback `acpitz` thermal zone), both in millidegrees.

app/config.py

@@ -10,6 +10,7 @@ class Settings(BaseSettings):
     port: int = 8501
     sample_interval: float = 2.0
     retention_minutes: int = 60
+    chart_max_points: int = 200
 
     llama_base_url: str = "http://127.0.0.1:8080"
     llama_api_key: str = ""

app/routers/overview.py

@@ -1,4 +1,5 @@
 import asyncio
+import math
 import socket
 import time
 from typing import Any
@@ -8,10 +9,39 @@ from fastapi import APIRouter, Request
 from fastapi.responses import HTMLResponse, JSONResponse
 
 from app.collect import net as net_col
+from app.config import get_settings
 from app.render import render, uptime_str
 
 router = APIRouter(prefix="/api", tags=["overview"])
 
+RowAgg = dict[str, float | int | None]
+
+
+def _window(
+    snap: list[tuple[float, dict[str, float | int | None]]], max_points: int
+) -> list[tuple[float, dict[str, RowAgg]]]:
+    n = len(snap)
+    w = max(1, math.ceil(n / max_points))
+    out: list[tuple[float, dict[str, RowAgg]]] = []
+    for start in range(0, n, w):
+        chunk = snap[start : start + w]
+        vals: dict[str, list[int | float]] = {}
+        for _, sample in chunk:
+            for k, v in sample.items():
+                if isinstance(v, (int, float)) and not isinstance(v, bool):
+                    vals.setdefault(k, []).append(v)
+        row: dict[str, RowAgg] = {}
+        for k, lst in vals.items():
+            ints = all(isinstance(v, int) for v in lst)
+            avg = sum(lst) / len(lst)
+            row[k] = {
+                "avg": round(avg) if ints else round(avg, 1),
+                "min": min(lst) if ints else round(min(lst), 1),
+                "max": max(lst) if ints else round(max(lst), 1),
+            }
+        out.append((chunk[-1][0], row))
+    return out
+
 
 @router.get("/overview")
 async def overview(request: Request):
@@ -52,21 +82,17 @@ async def overview(request: Request):
 
 @router.get("/history")
 async def history(request: Request):
-    snap = request.app.state.store.snapshot()
+    snap = _window(request.app.state.store.snapshot(), get_settings().chart_max_points)
     ts = [round(t, 1) for t, _ in snap]
     keys: set[str] = set()
-    for _, sample in snap:
+    for _, row in snap:
-        for k, v in sample.items():
+        keys.update(row)
-            if isinstance(v, (int, float)) and not isinstance(v, bool):
+    series: dict[str, dict[str, list[Any]]] = {
-                keys.add(k)
+        k: {"avg": [], "min": [], "max": []} for k in keys
-    series: dict[str, list[Any]] = {}
+    }
-    for _, sample in snap:
+    for _, row in snap:
         for k in keys:
-            v = sample.get(k)
+            agg = row.get(k)
-            if isinstance(v, (int, float)) and not isinstance(v, bool):
+            for m in ("avg", "min", "max"):
-                if isinstance(v, float):
+                series[k][m].append(agg[m] if agg else None)
-                    v = round(v, 1)
-            else:
-                v = None
-            series.setdefault(k, []).append(v)
     return JSONResponse({"ts": ts, "series": series})

static/js/app.js

@@ -36,15 +36,6 @@
     return d.toLocaleTimeString([], { hour12: false });
   }
 
-  function downsampleIdx(len, max) {
-    if (len <= max) return null;
-    const step = Math.ceil(len / max);
-    const idx = [];
-    for (let i = 0; i < len; i += step) idx.push(i);
-    if (idx[idx.length - 1] !== len - 1) idx.push(len - 1);
-    return idx;
-  }
-
   // ---------- charts ----------
   const charts = {};
 
@@ -64,14 +55,15 @@
     return o;
   }
 
-  function newDs(label, color, extra) {
+  function envelopeDs(name, color, s) {
-    return Object.assign(
+    s = s || {};
-      { label, data: [], borderColor: color, backgroundColor: color, borderWidth: 1.5, pointRadius: 0, tension: 0.25, fill: false },
+    return [
-      extra || {}
+      { label: name, data: s.max || [], borderColor: color, backgroundColor: color + "2e", borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 0 },
-    );
+      { label: name + " min", band: true, data: s.min || [], borderColor: color, backgroundColor: color, borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 1 },
+    ];
   }
 
-  const LEGEND = { display: true, labels: { boxWidth: 10, color: "#7d8a9c" } };
+  const LEGEND = { display: true, labels: { boxWidth: 10, color: "#7d8a9c", filter: (item, data) => !data.datasets[item.datasetIndex]?.band } };
 
   function initCharts() {
     if (typeof Chart === "undefined") return;
@@ -79,7 +71,7 @@
       type: "line",
       data: {
         labels: [],
-        datasets: [newDs("CPU", "#4fc3f7"), newDs("GPU", "#ba68c8")],
+        datasets: [].concat(envelopeDs("CPU", "#4fc3f7"), envelopeDs("GPU", "#ba68c8")),
       },
       options: baseOpts({ max: 100 }),
     });
@@ -88,7 +80,7 @@
       type: "line",
       data: {
         labels: [],
-        datasets: [newDs("Memory", "#81c784"), newDs("VRAM", "#ffb74d")],
+        datasets: [].concat(envelopeDs("Memory", "#81c784"), envelopeDs("VRAM", "#ffb74d")),
       },
       options: baseOpts({ max: 100 }),
     });
@@ -97,7 +89,7 @@
       type: "line",
       data: {
         labels: [],
-        datasets: [newDs("read", "#e57373"), newDs("write", "#fff176")],
+        datasets: [].concat(envelopeDs("read", "#e57373"), envelopeDs("write", "#fff176")),
       },
       options: baseOpts({
         ticks: { color: "#7d8a9c", callback: (v) => fmtBytes(v, 0) },
@@ -109,25 +101,21 @@
 
   function updateCharts(hist) {
     if (!hist || !hist.ts || !hist.ts.length) return;
-    const ts = hist.ts;
+    const labels = hist.ts.map(fmtTime);
-    const idx = downsampleIdx(ts.length, 400);
+    const series = hist.series || {};
-    const pick = (arr) => (arr && idx ? idx.map((i) => (i < arr.length ? arr[i] : null)) : arr);
+    const build = (chart, pairs) => {
-    const labels = (idx ? idx.map((i) => ts[i]) : ts).map(fmtTime);
-
-    const set2 = (chart, keys) => {
       chart.data.labels = labels;
-      keys.forEach((k, i) => {
+      chart.data.datasets = [];
-        chart.data.datasets[i].data = pick(hist.series[k]) || [];
+      pairs.forEach(([name, color, key], i) => {
+        const ds = envelopeDs(name, color, series[key]);
+        ds[0].fill = i * 2 + 1;
+        chart.data.datasets.push(...ds);
       });
       chart.update("none");
     };
-    set2(charts.cpu, ["cpu", "gpu"]);
+    build(charts.cpu, [["CPU", "#4fc3f7", "cpu"], ["GPU", "#ba68c8", "gpu"]]);
-    set2(charts.mem, ["mem_pct", "vram_pct"]);
+    build(charts.mem, [["Memory", "#81c784", "mem_pct"], ["VRAM", "#ffb74d", "vram_pct"]]);
-
+    build(charts.io, [["read", "#e57373", "io_read"], ["write", "#fff176", "io_write"]]);
-    charts.io.data.labels = labels;
-    charts.io.data.datasets[0].data = pick(hist.series.io_read) || [];
-    charts.io.data.datasets[1].data = pick(hist.series.io_write) || [];
-    charts.io.update("none");
   }
 
   function pollHistory() {