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dashboard/opencode/opencode_session_chart_flicker_2026-08-30.txt

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mac 2026-08-29 19:06:31 → now 1 session(s)
Session Started Where Title
08kppe 2026-08-30 17:57 Code/dashboard Window-average chart data to 200 points
⚑ ❬08kppe❭ Window-average chart data to 200 points ~/Code/dashboard
────────────────────────────────────────────────────────────────────────────────────────────────────
│ 2026-08-30 17:57:34 • user
│
│ The graphics on the charts jump around too much because it gets to many datapoints. Can we
│ window-average them so at most 200 points are sent out to the chart?
│ 2026-08-30 17:57:34 • assistant • Qwen3.8-27B-Think @plan
│
│ I need to investigate this further. Let me check the details.
│
│ Let's explore the codebase to understand the history endpoint and how chart data is being sent.
│
│ glob app/**/*.py ok 0.0s
│ in
│ {
│ "pattern": "app/**/*.py"
│ }
│ out
│ /home/mac/Code/dashboard/app/main.py
│ /home/mac/Code/dashboard/app/config.py
│ /home/mac/Code/dashboard/app/__init__.py
│ /home/mac/Code/dashboard/app/render.py
│ /home/mac/Code/dashboard/app/journal.py
│ /home/mac/Code/dashboard/app/sampling.py
│ /home/mac/Code/dashboard/app/state.py
│ /home/mac/Code/dashboard/app/systemd/__init__.py
│ /home/mac/Code/dashboard/app/plugins/__init__.py
│ /home/mac/Code/dashboard/app/systemd/units.py
│ /home/mac/Code/dashboard/app/plugins/llamacpp.py
│ /home/mac/Code/dashboard/app/plugins/base.py
│ /home/mac/Code/dashboard/app/collect/power.py
│ /home/mac/Code/dashboard/app/collect/net.py
│ /home/mac/Code/dashboard/app/collect/__init__.py
│ /home/mac/Code/dashboard/app/collect/procs.py
│ /home/mac/Code/dashboard/app/collect/disks.py
│ /home/mac/Code/dashboard/app/collect/gpu.py
│ /home/mac/Code/dashboard/app/collect/mem.py
│ /home/mac/Code/dashboard/app/collect/cpu.py
│ /home/mac/Code/dashboard/app/routers/__init__.py
│ /home/mac/Code/dashboard/app/routers/journal.py
│ /home/mac/Code/dashboard/app/routers/plugins.py
│ /home/mac/Code/dashboard/app/routers/processes.py
│ /home/mac/Code/dashboard/app/routers/services.py
│ /home/mac/Code/dashboard/app/routers/disks.py
│ /home/mac/Code/dashboard/app/routers/overview.py
│ grep history ok 0.0s
│ in
│ {
│ "pattern": "history",
│ "path": "/home/mac/Code/dashboard/app"
│ }
│ out
│ Found 4 matches
│ /home/mac/Code/dashboard/app/main.py:
│ Line 22: app.state.store = HistoryStore(maxlen=settings.history_maxlen)
│
│
│ /home/mac/Code/dashboard/app/config.py:
│ Line 19: def history_maxlen(self) -> int:
│
│
│ /home/mac/Code/dashboard/app/routers/overview.py:
│ Line 53: @router.get("/history")
│
│ Line 54: async def history(request: Request):
│
│ tokens 9190 in 106 out 0 cached 0 written $0.0000 tool-calls
│ 2026-08-30 17:58:04 • assistant • Qwen3.8-27B-Think @plan
│
│ Let's read the main files: app/routers/overview.py, app/state.py, app/config.py, and the
│ overview template.
│
│ read /home/mac/Code/dashboard/app/routers/overview.py ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/app/routers/overview.py"
│ }
│ out
│ <path>/home/mac/Code/dashboard/app/routers/overview.py</path>
│ <type>file</type>
│ <content>
│ 1: import asyncio
│ 2: import socket
│ 3: import time
│ 4: from typing import Any
│ 5:
│ 6: import psutil
│ 7: from fastapi import APIRouter, Request
│ 8: from fastapi.responses import HTMLResponse, JSONResponse
│ 9:
│ 10: from app.collect import net as net_col
│ 11: from app.render import render, uptime_str
│ 12:
│ 13: router = APIRouter(prefix="/api", tags=["overview"])
│ 14:
│ 15:
│ 16: @router.get("/overview")
│ 17: async def overview(request: Request):
│ 18: store = request.app.state.store
│ 19: s: dict[str, Any] = store.latest() or {}
│ 20: mem_total = s.get("mem_total") or 0
│ 21: vram_total = s.get("vram_total") or 0
│ 22: vram_used = s.get("vram_used")
│ 23: c = {
│ 24: "cpu": s.get("cpu"),
│ 25: "cpu_temp": s.get("cpu_temp"),
│ 26: "load1": s.get("load1"),
│ 27: "load5": s.get("load5"),
│ 28: "load15": s.get("load15"),
│ 29: "mem_used": s.get("mem_used"),
│ 30: "mem_total": mem_total,
│ 31: "mem_pct": s.get("mem_pct"),
│ 32: "swap_used": s.get("swap_used"),
│ 33: "swap_total": s.get("swap_total") or 0,
│ 34: "swap_pct": s.get("swap_pct"),
│ 35: "gpu": s.get("gpu"),
│ 36: "gpu_name": s.get("gpu_name"),
│ 37: "gpu_temp": s.get("gpu_temp"),
│ 38: "vram_used": vram_used,
│ 39: "vram_total": vram_total,
│ 40: "vram_pct": s.get("vram_pct")
│ 41: or ((vram_used / vram_total * 100) if (vram_total and vram_used is not None)
│ else None),
│ 42: "battery": s.get("battery"),
│ 43: "battery_status": s.get("battery_status"),
│ 44: "ac_online": s.get("ac_online"),
│ 45: "uptime": uptime_str(time.time() - psutil.boot_time()),
│ 46: "hostname": socket.gethostname(),
│ 47: "cores": psutil.cpu_count(logical=True) or 1,
│ 48: **await asyncio.to_thread(net_col.sample),
│ 49: }
│ 50: return HTMLResponse(render("overview.html", c=c))
│ 51:
│ 52:
│ 53: @router.
│ … [858 more chars]
│ read /home/mac/Code/dashboard/app/state.py ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/app/state.py"
│ }
│ out
│ <path>/home/mac/Code/dashboard/app/state.py</path>
│ <type>file</type>
│ <content>
│ 1: import time
│ 2: from collections import deque
│ 3:
│ 4:
│ 5: class HistoryStore:
│ 6: def __init__(self, maxlen: int) -> None:
│ 7: self._buf: deque[tuple[float, dict[str, float | int | None]]] =
│ deque(maxlen=maxlen)
│ 8:
│ 9: def record(self, sample: dict[str, float | int | None]) -> None:
│ 10: self._buf.append((time.time(), sample))
│ 11:
│ 12: def snapshot(self) -> list[tuple[float, dict[str, float | int | None]]]:
│ 13: return list(self._buf)
│ 14:
│ 15: def latest(self) -> dict[str, float | int | None] | None:
│ 16: return self._buf[-1][1] if self._buf else None
│ 17:
│ 18: def __len__(self) -> int:
│ 19: return len(self._buf)
│
│ (End of file - total 19 lines)
│ </content>
│ read /home/mac/Code/dashboard/app/config.py ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/app/config.py"
│ }
│ out
│ <path>/home/mac/Code/dashboard/app/config.py</path>
│ <type>file</type>
│ <content>
│ 1: from functools import lru_cache
│ 2:
│ 3: from pydantic_settings import BaseSettings, SettingsConfigDict
│ 4:
│ 5:
│ 6: class Settings(BaseSettings):
│ 7: model_config = SettingsConfigDict(env_prefix="DASH_", env_file=".env",
│ extra="ignore")
│ 8:
│ 9: host: str = "127.0.0.1"
│ 10: port: int = 8501
│ 11: sample_interval: float = 2.0
│ 12: retention_minutes: int = 60
│ 13:
│ 14: llama_base_url: str = "http://127.0.0.1:8080"
│ 15: llama_api_key: str = ""
│ 16: llama_timeout: float = 4.0
│ 17:
│ 18: @property
│ 19: def history_maxlen(self) -> int:
│ 20: return max(10, int(self.retention_minutes * 60 / self.sample_interval))
│ 21:
│ 22:
│ 23: @lru_cache
│ 24: def get_settings() -> Settings:
│ 25: return Settings()
│
│ (End of file - total 25 lines)
│ </content>
│
│ tokens 425 in 129 out 9296 cached 0 written $0.0000 tool-calls
│ 2026-08-30 17:58:07 • assistant • Qwen3.8-27B-Think @plan
│
│ Next, let's look at the template and see how the chart uses this data.
│
│ grep history ok 0.0s
│ in
│ {
│ "pattern": "history",
│ "path": "/home/mac/Code/dashboard/templates"
│ }
│ out No files found
│
│ tokens 1560 in 62 out 9849 cached 0 written $0.0000 tool-calls
│ 2026-08-30 17:58:11 • assistant • Qwen3.8-27B-Think @plan
│
│ Hmm, there's nothing that matches "history" in the templates. Let me check the templates
│ directory.
│
│ glob templates/** ok 0.0s
│ in
│ {
│ "pattern": "templates/**"
│ }
│ out
│ /home/mac/Code/dashboard/templates/index.html
│ /home/mac/Code/dashboard/templates/overview.html
│ /home/mac/Code/dashboard/templates/plugins/llamacpp.html
│ /home/mac/Code/dashboard/templates/plugins.html
│ /home/mac/Code/dashboard/templates/service_detail.html
│ /home/mac/Code/dashboard/templates/services.html
│ /home/mac/Code/dashboard/templates/journal.html
│ /home/mac/Code/dashboard/templates/processes.html
│ /home/mac/Code/dashboard/templates/disks.html
│ grep /api/history ok 0.0s
│ in
│ {
│ "pattern": "/api/history"
│ }
│ out
│ Found 39 matches
│ /home/mac/Code/dashboard/AGENTS.md:
│ Line 26: # /api/plugins /api/history
│
│ Line 80: - `/api/history` pads series with `null` for samples missing a key so all
│
│
│ /home/mac/Code/dashboard/static/js/app.js:
│ Line 134: fetch("/api/history")
│
│
│ /home/mac/Code/dashboard/opencode/opencode_session_2026-08-30.txt:
│ Line 707: │ 2 s) + `GET /api/history` (JSON, 2 s → Chart.js).
│
│ Line 897: │ "content": "Tab 1 Overview: cards fragment + /api/history JSON +
│ Chart.js graphs",
│
│ Line 953: │ "content": "Tab 1 Overview: cards fragment + /api/history JSON +
│ Chart.js graphs",
│
│ Line 2805: │ ugins','/api/history']:\n r = c.get(path)\n print(path,
│ r.status_code,
│
│ Line 2935: │ s','/api/history','/api/plugins/llamacpp/fragment']:\n r =
│ c.get(path)\n
│
│ Line 2947: │ /api/history 200 21
│
│ Line 2962: │ 5. /api/history - only 21 bytes (empty, because TestClient's lifespan... no
│ wait, lifespan does
│
│ Line 2977: │ c.get('/api/history').json()\n print('points:', len(h['ts']),
│ 'keys:',
│
│ Line 4106: │ - Chart.js polls `GET /api/history` every 2s, downsamples to 400 pts;
│ charts: cpu, mem_pct, gpu,
│
│ Line 4129: │ `/api/disks`, `/api/processes`, `/api/journal`, `/api/services`,
│ `/api/plugins`, `/api/history`,
│
│ Line 4134: │ `/api/history` now skips non-numeric series.
│
│ Line 9520: │ /api/journal /api/services /api/plugins /api/history; do printf \"%s:
│ %s\\n\" \"$p\"
│
│ Line 9533: │ /api/history: 200
│
│ Line 11357: │ http://127.0.0.1:8501/api/history | python3 -c \"import json,sys;
│ d=json.load(sys.stdin);
│
│ Line 11515: │ `/api/history` by 16 series)
│
│ Line 11528: │ - small robustness fix in `/api/history`: pad a series with `null` for
│ samples missing a key, so
│
│ Line 12495: │ series. It's fine for /api/history to return it, it's just one extra key.
│
│ Line 12685: │ bash curl -s http://127.0.0.1:8501/api/history | python3 -c " imp
│ … [1792 more chars]
│
│ tokens 18 in 78 out 11471 cached 0 written $0.0000 tool-calls
│ 2026-08-30 17:58:13 • assistant • Qwen3.8-27B-Think @plan
│
│ Interesting — line 134 of static/js/app.js fetches /api/history. Let me read that file.
│
│ read /home/mac/Code/dashboard/static/js/app.js ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/static/js/app.js"
│ }
│ out
│ <path>/home/mac/Code/dashboard/static/js/app.js</path>
│ <type>file</type>
│ <content>
│ 1: (function () {
│ 2: "use strict";
│ 3:
│ 4: // ---------- tabs ----------
│ 5: const tabBtns = document.querySelectorAll(".tab-btn");
│ 6: const sections = document.querySelectorAll(".tab");
│ 7:
│ 8: function showTab(name) {
│ 9: tabBtns.forEach((b) => b.classList.toggle("active", b.dataset.tab === name));
│ 10: sections.forEach((s) => s.classList.toggle("hidden", s.id !== "tab-" + name));
│ 11: try {
│ 12: localStorage.setItem("dash.tab", name);
│ 13: } catch (e) {}
│ 14: }
│ 15: tabBtns.forEach((b) => b.addEventListener("click", () => showTab(b.dataset.tab)));
│ 16: try {
│ 17: const saved = localStorage.getItem("dash.tab");
│ 18: if (saved && document.getElementById("tab-" + saved)) showTab(saved);
│ 19: } catch (e) {}
│ 20:
│ 21: // ---------- helpers ----------
│ 22: function fmtBytes(n, digits) {
│ 23: if (n == null || isNaN(n)) return "—";
│ 24: if (digits == null) digits = 1;
│ 25: const u = ["B", "KiB", "MiB", "GiB", "TiB"];
│ 26: let i = 0;
│ 27: while (Math.abs(n) >= 1024 && i < u.length - 1) {
│ 28: n /= 1024;
│ 29: i++;
│ 30: }
│ 31: return n.toFixed(digits) + " " + u[i];
│ 32: }
│ 33:
│ 34: function fmtTime(ts) {
│ 35: const d = new Date(ts * 1000);
│ 36: return d.toLocaleTimeString([], { hour12: false });
│ 37: }
│ 38:
│ 39: function downsampleIdx(len, max) {
│ 40: if (len <= max) return null;
│ 41: const step = Math.ceil(len / max);
│ 42: const idx = [];
│ 43: for (let i = 0; i < len; i += step) idx.push(i);
│ 44: if (idx[idx.length - 1] !== len - 1) idx.push(len - 1);
│ 45: return idx;
│ 46: }
│ 47:
│ 48: // ---------- charts ----------
│ 49: const charts = {};
│ 50:
│ 51: function baseOpts(extra) {
│ 52: const o = {
│ 53: animation: false,
│ 54: responsive: true,
│ 55: maintainAspectRatio: false,
│ 56: interaction: { mode: "index", intersect: false },
│ 57: plugins: { legend: { display: false }
│ … [5831 more chars]
│
│ tokens 1476 in 60 out 11567 cached 0 written $0.0000 tool-calls
│ 2026-08-30 17:58:16 • assistant • Qwen3.8-27B-Think @plan
│
│ Now I understand the current setup:
│
│ 1. `HistoryStore` holds samples every 2 seconds for up to 60 minutes = 1800 samples
│ (`history_maxlen` = 60*60/2 = 1800).
│ 2. `/api/history` returns all samples (up to 1800 timestamps, plus each series padded with
│ null).
│ 3. The JS `downsampleIdx` in `app.js` downsamples client-side to a max of 400 points by taking
│ every Nth point (decimation, not averaging).
│
│ User's request: do window averaging server-side so that at most 200 points are sent to the
│ chart.
│
│ So the change is: in `/api/history` (app/routers/overview.py), before building the response,
│ average consecutive samples into windows of `ceil(n / 200)` so that the output has at most 200
│ points.
│
│ Design considerations:
│
│ 1. **Where to window-average?** Options:
│ - In `/api/history` in `app/routers/overview.py` — compute from the snapshot on each request.
│ 1800 samples × ~16 keys — trivial amount of computation per 2-second poll. Fine.
│ - In `HistoryStore.snapshot()` — no, the snapshot is used elsewhere too… let me check.
│ `snapshot()` is only used in the history endpoint (line 55 of overview.py). Let me verify
│ there are no other uses of snapshot.
│
│ 2. **How to average with None values?** Samples may have keys missing (None) — e.g., gpu is None
│ on machines without GPU, vram is None, battery is None. When averaging, we should average only
│ non-None values within the window. If all values in the window are None, the result is None.
│ This preserves the null-padding behavior: "all series stay aligned with timestamps."
│
│ 3. **Windowing approach:** Split the N samples into W windows, W = ceil(N / 200) (when N > 200).
│ Each window size is N // W or N // W + 1 — i.e., split evenly. Window timestamp: either the last
│ sample's timestamp in the window (right edge, latest first), or the mean. Chart.js labels use
│ timestamps via fmtTime. Using the last sample's timestamp in each window makes the right edge of
│ the chart match "now" — nice for a live chart. Using the first timestamp is also reasonabl
│ … [4848 more chars]
│
│ read /home/mac/Code/dashboard/app/sampling.py ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/app/sampling.py"
│ }
│ out
│ <path>/home/mac/Code/dashboard/app/sampling.py</path>
│ <type>file</type>
│ <content>
│ 1: import asyncio
│ 2: import time
│ 3:
│ 4: from app.collect import cpu, disks, gpu, mem, power
│ 5: from app.state import HistoryStore
│ 6:
│ 7:
│ 8: def _collect() -> dict[str, float | int | None]:
│ 9: sample: dict[str, float | int | None] = {}
│ 10: sample.update(cpu.sample())
│ 11: sample.update(mem.sample())
│ 12: sample.update(gpu.sample())
│ 13: sample.update(power.sample())
│ 14: return sample
│ 15:
│ 16:
│ 17: async def sampler_loop(store: HistoryStore, sample_interval: float) -> None:
│ 18: cpu.prime()
│ 19: prev_disk = disks.counters()
│ 20: prev_t = time.monotonic()
│ 21: while True:
│ 22: await asyncio.sleep(sample_interval)
│ 23: sample = await asyncio.to_thread(_collect)
│ 24: now = time.monotonic()
│ 25: dt = now - prev_t
│ 26: sample.update(disks.rates(prev_disk, dt))
│ 27: prev_disk = disks.counters()
│ 28: prev_t = now
│ 29: store.record(sample)
│
│ (End of file - total 29 lines)
│ </content>
│ read /home/mac/Code/dashboard/app/main.py ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/app/main.py"
│ }
│ out
│ <path>/home/mac/Code/dashboard/app/main.py</path>
│ <type>file</type>
│ <content>
│ 1: import asyncio
│ 2: import socket
│ 3: from contextlib import asynccontextmanager
│ 4:
│ 5: from fastapi import FastAPI
│ 6: from fastapi.responses import HTMLResponse
│ 7: from fastapi.staticfiles import StaticFiles
│ 8:
│ 9: from app.config import get_settings
│ 10: from app.plugins import ROUTERS as PLUGIN_ROUTERS
│ 11: from app.render import BASE, render
│ 12: from app.routers import disks, overview, plugins, processes, services
│ 13: from app.routers import journal as journal_router
│ 14: from app.sampling import sampler_loop
│ 15: from app.state import HistoryStore
│ 16:
│ 17:
│ 18: @asynccontextmanager
│ 19: async def lifespan(app: FastAPI):
│ 20: settings = get_settings()
│ 21: app.state.settings = settings
│ 22: app.state.store = HistoryStore(maxlen=settings.history_maxlen)
│ 23: task = asyncio.create_task(sampler_loop(app.state.store, settings.sample_interval))
│ 24: yield
│ 25: _ = task.cancel()
│ 26: try:
│ 27: await task
│ 28: except asyncio.CancelledError:
│ 29: pass
│ 30:
│ 31:
│ 32: def create_app() -> FastAPI:
│ 33: app = FastAPI(title="Dashboard", lifespan=lifespan)
│ 34: app.mount("/static", StaticFiles(directory=BASE / "static"), name="static")
│ 35: for r in (overview.router, disks.router, processes.router, journal_router.router,
│ services.router, plugins.router):
│ 36: app.include_router(r)
│ 37: for r in PLUGIN_ROUTERS:
│ 38: app.include_router(r)
│ 39:
│ 40: @app.get("/", include_in_schema=False)
│ 41: async def index():
│ 42: return HTMLResponse(render("index.html", hostname=socket.gethostname()))
│ 43:
│ 44: return app
│ 45:
│ 46:
│ 47: app = create_app()
│
│ (End of file - total 47 lines)
│ </content>
│ grep snapshot\(|latest\( ok 0.0s
│ in
│ {
│ "pattern": "snapshot\\(|latest\\(",
│ "path": "/home/mac/Code/dashboard",
│ "include": "*.py"
│ }
│ out
│ Found 4 matches
│ /home/mac/Code/dashboard/app/state.py:
│ Line 12: def snapshot(self) -> list[tuple[float, dict[str, float | int | None]]]:
│
│ Line 15: def latest(self) -> dict[str, float | int | None] | None:
│
│
│ /home/mac/Code/dashboard/app/routers/overview.py:
│ Line 19: s: dict[str, Any] = store.latest() or {}
│
│ Line 55: snap = request.app.state.store.snapshot()
│
│ tokens 2785 in 1906 out 13103 cached 0 written $0.0000 tool-calls
│ 2026-08-30 17:59:08 • assistant • Qwen3.8-27B-Think @plan
│
│ Now I have a full picture:
│
│ **Current state:**
│ - The `HistoryStore` deque holds up to `history_maxlen` = 60 min × 60 / 2 s = 1800 samples.
│ - `/api/history` returns all samples as-is (up to 1800 points per series), rounded to one
│ decimal place for floats.
│ - Client-side `app.js` decimates to at most 400 points by simple strided selection
│ (`downsampleIdx`), not by averaging — this decimation is what's causing the "jumping around"
│ (skipping data, spikes get picked or dropped).
│
│ **User's request:** Do window averaging server-side so that at most 200 points are sent to the
│ chart.
│
│ **Plan:**
│
│ 1. `app/config.py`: Add `chart_max_points: int = 200` (env var `DASH_CHART_MAX_POINTS`).
│
│ 2. `app/routers/overview.py` `/api/history`:
│ - After fetching `snap`, if `len(snap) > max_points`, split into `ceil(n / max_points)`
│ contiguous, evenly-sized windows and average each window per key.
│ - Averaging details:
│ - Keys: use the union of keys across all samples (preserves current null-padding behavior —
│ all series are aligned to ts).
│ - Per key, per window: collect non-None values; if none → None; otherwise the mean.
│ - Type handling: if all values in the window are ints → round the mean to int (keep byte
│ counts clean); otherwise round the mean to one decimal place (matches existing rounding
│ behavior).
│ - Window timestamp: the last sample's timestamp in the window (the right edge stays "now";
│ labels line up).
│ - If `len(snap) <= max_points`: current behavior unchanged (per-value one-decimal rounding).
│
│ Helper implementation sketch (no comments per convention):
│
│ ```python
│ def _window_average(snap: list[tuple[float, dict[str, float | int | None]]], max_points: int) ->
│ list[tuple[float, dict[str, float | int | None]]]:
│ n = len(snap)
│ if n <= max_points:
│ return snap
│ w = math.ceil(n / max_points)
│ out: list[tuple[float, dict[str, float | int | None]]] = []
│ for start in range(0, n, w):
│ chunk = snap[start : start + w]
│ merged: d
│ … [3526 more chars]
│
│ read /home/mac/Code/dashboard/pyproject.toml ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/pyproject.toml"
│ }
│ out
│ <path>/home/mac/Code/dashboard/pyproject.toml</path>
│ <type>file</type>
│ <content>
│ 1: [project]
│ 2: name = "dashboard"
│ 3: version = "0.1.0"
│ 4: description = "Computer dashboard and combined task manager (FastAPI + htmx)"
│ 5: license = "Unlicense"
│ 6: license-files = ["LICENSE"]
│ 7: requires-python = ">=3.12"
│ 8: dependencies = [
│ 9: "fastapi>=0.141.1",
│ 10: "httpx>=0.28.1",
│ 11: "jinja2>=3.1.6",
│ 12: "psutil>=7.2.2",
│ 13: "pydantic-settings>=2.15.0",
│ 14: "python-multipart>=0.0.32",
│ 15: "uvicorn[standard]>=0.52.4",
│ 16: ]
│ 17:
│ 18: [tool.uv]
│ 19: package = false
│ 20:
│ 21: [tool.basedpyright]
│ 22: reportExplicitAny = false
│ 23: reportAny = false
│
│ (End of file - total 23 lines)
│ </content>
│ grep app.state.settings ok 0.0s
│ in
│ {
│ "pattern": "app.state.settings",
│ "path": "/home/mac/Code/dashboard/app"
│ }
│ out
│ Found 1 matches
│ /home/mac/Code/dashboard/app/main.py:
│ Line 21: app.state.settings = settings
│
│ tokens 987 in 1496 out 17794 cached 0 written $0.0000 tool-calls
│ 2026-08-30 17:59:45 • assistant • Qwen3.8-27B-Think @plan
│
│ Settings are available in `app.state.settings`. Let's check how the other routers are accessing
│ settings (via request.app.state.settings, or via get_settings()).
│
│ grep settings|get_settings ok 0.0s
│ in
│ {
│ "pattern": "settings|get_settings",
│ "path": "/home/mac/Code/dashboard/app",
│ "include": "*.py"
│ }
│ out
│ Found 17 matches
│ /home/mac/Code/dashboard/app/config.py:
│ Line 3: from pydantic_settings import BaseSettings, SettingsConfigDict
│
│ Line 24: def get_settings() -> Settings:
│
│
│ /home/mac/Code/dashboard/app/main.py:
│ Line 9: from app.config import get_settings
│
│ Line 20: settings = get_settings()
│
│ Line 21: app.state.settings = settings
│
│ Line 22: app.state.store = HistoryStore(maxlen=settings.history_maxlen)
│
│ Line 23: task = asyncio.create_task(sampler_loop(app.state.store,
│ settings.sample_interval))
│
│
│ /home/mac/Code/dashboard/app/plugins/llamacpp.py:
│ Line 7: from app.config import Settings, get_settings
│
│ Line 14: def _headers(settings: Settings) -> dict[str, str]:
│
│ Line 16: if settings.llama_api_key:
│
│ Line 17: h["Authorization"] = f"Bearer {settings.llama_api_key}"
│
│ Line 22: settings = get_settings()
│
│ Line 24: base_url=settings.llama_base_url.rstrip("/"),
│
│ Line 25: timeout=settings.llama_timeout,
│
│ Line 26: headers=_headers(settings),
│
│ Line 32: settings = get_settings()
│
│ Line 34: "base_url": settings.llama_base_url,
│
│ tokens 345 in 92 out 20277 cached 0 written $0.0000 tool-calls
│ 2026-08-30 17:59:48 • assistant • Qwen3.8-27B-Think @plan
│
│ Pattern: the plugin uses `get_settings()` (lru_cached). So in the history endpoint I can use
│ `get_settings().chart_max_points` — consistent with the plugin's pattern.
│
│ Now, is there anything else that uses `/api/history`? Only the chart in `app.js`. Good.
│
│ Let me also check the chart in the overview.html template (canvas id) — not needed for the plan,
│ but no harm in a quick check. Not needed.
│
│ One more consideration: the current `history` endpoint does `round(t, 1)` on ts. After
│ windowing, the ts values will be the last ts of each window — no problem.
│
│ Also note: the default `retention_minutes` is 60 → 1800 samples → 200-point window → each window
│ is about 9 samples ≈ 18-second averaging window. A reasonable smoothness.
│
│ Trade-offs to surface to the user:
│ 1. Window averaging vs min/max (envelope): averaging loses peak spikes (a 2-second CPU spike
│ gets smoothed out). If the user wants to preserve peaks, min/max envelope (200-point min and max
│ bands) is possible, but the user explicitly asked for window averaging. Just briefly note that
│ spikes will be smoothed.
│ 2. Where the cap is enforced: server-side (per the request "sent to the chart"). Should the
│ client-side 400-point decimation be removed? Propose removing it as dead code (or keep it as a
│ defensive measure). I'll propose removal — simpler. Actually, hmm: if I remove it,
│ `updateCharts` becomes simpler. But someone could set DASH_CHART_MAX_POINTS higher. If it's a
│ configurable setting, it's possible for the server to send more than 400 points — in which case
│ the client-side cap would be useful. If I keep the client-side decimation as a hard guard,
│ behavior stays safe even when the setting is raised. I think keeping it is actually a good
│ defensive measure, and the cost is zero. But then the "jumping around" would reappear when
│ DASH_CHART_MAX_POINTS > 400… that's a user configuration choice.
│
│ My proposal: keep the client-side `downsampleIdx` as-is as a hard safety cap (it never kicks
│ in by default) — zero risk, n
│ … [2549 more chars]
│
│ bash which basedpyright; ls /home/mac/Code/dashboard/.venv/bin 2>/dev/null | head… ok 0.0s
│ in
│ {
│ "command": "which basedpyright; ls /home/mac/Code/dashboard/.venv/bin 2>/dev/null | head
│ -20; ls /home/mac/Code/dashboard"
│ }
│ out
│ which: no basedpyright in
│ (/usr/local/sbin:/usr/local/bin:/usr/bin:/var/lib/flatpak/exports/bin:/usr/bin/site_perl:/us
│ r/bin/vendor_perl:/usr/bin/core_perl:/opt/rocm/bin:/usr/lib/rustup/bin)
│ activate
│ activate.bat
│ activate.csh
│ activate.fish
│ activate.nu
│ activate.ps1
│ activate_this.py
│ activate.xsh
│ dashboard
│ deactivate.bat
│ dotenv
│ fastapi
│ httpx
│ idna
│ pydoc.bat
│ python
│ python3
│ python3.14
│ uvicorn
│ watchfiles
│ AGENTS.md
│ app
│ deploy
│ LICENSE
│ main.py
│ opencode
│ __pycache__
│ pyproject.toml
│ README.md
│ screenshots
│ static
│ templates
│ uv.lock
│
│ tokens 330 in 1196 out 20714 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:00:21 • assistant • Qwen3.8-27B-Think @plan
│
│ basedpyright is not installed in the venv. It might be available via `uvx basedpyright`. I'll
│ check that right away (it's read-only, so it's permitted).
│
│ bash uv tool run basedpyright --version 2>&1 | tail -2 || uvx basedpyright --vers… ok 0.0s
│ in
│ {
│ "command": "uv tool run basedpyright --version 2>&1 | tail -2 || uvx basedpyright
│ --version 2>&1 | tail -2",
│ "timeout": 90000
│ }
│ out
│ basedpyright 1.39.10
│ based on pyright 1.1.412
│
│ tokens 180 in 116 out 22240 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:00:29 • assistant • Qwen3.8-27B-Think @plan
│
│ `uvx basedpyright` works. OK, let me lay out the plan.
│
│ Summary of the current data flow:
│ - Sampler records into a deque every 2 seconds (up to 1800 entries with the default 60-minute
│ retention).
│ - `/api/history` (app/routers/overview.py:53-72) returns all points as-is; the client
│ (static/js/app.js:113) decimates them client-side with stride-based sampling up to 400 points —
│ that stride-picking is what causes the "jumping around."
│
│ Plan:
│
│ 1. **`app/config.py`** — add `chart_max_points: int = 200` (env var `DASH_CHART_MAX_POINTS`).
│
│ 2. **`app/routers/overview.py`** — add a `_window_average(snap, max_points)` helper and call it
│ from `/api/history`:
│ - If `len(snap) <= max_points`, return it unchanged.
│ - Otherwise, split into contiguous windows of `ceil(n / max_points)` (the last window may be
│ smaller) → total output ≤ 200.
│ - Per window, per key: average only the non-None values; keys that are entirely None within a
│ window get dropped from that window's dict (the existing union-of-keys + None-padding loop in
│ the endpoint restores alignment — behavior documented in AGENTS.md is preserved).
│ - Types: if all values in a window are int → `round(mean)` (int); otherwise `round(mean, 1)`
│ (matches the existing 1-decimal rounding).
│ - The window's timestamp is that of the window's last sample (the right edge of the chart
│ stays at "now").
│ - Endpoint: `snap = _window_average(store.snapshot(), get_settings().chart_max_points)`; the
│ rest of the function stays unchanged.
│
│ 3. **`static/js/app.js`** — no changes: the client-side 400-point decimation (`downsampleIdx`)
│ becomes a dormant fallback and keeps working for any payload length. (Alternative: remove it as
│ dead code — will ask the user's preference? No — it's a trivial point; leaving it as-is is the
│ minimal diff. I'll mention it in the plan.)
│
│ Actually, should I ask the user about the client-side code? The plan-mode guidance says to ask
│ when weighing trade-offs. The main trade-off worth surfacing:
│
│ - **Averaging sm
│ … [1640 more chars]
│
│ I have the full picture. Here's the plan.
│
│ ## Current behavior
│
│ - Sampler records a sample every 2 s into a deque of up to 1800 entries (60 min retention,
│ `app/config.py:19-20`).
│ - `GET /api/history` (`app/routers/overview.py:53-72`) returns **every** point (~1800) as-is.
│ - The client then stride-decimates to 400 points by *skipping* every Nth point (`downsampleIdx`
│ in `static/js/app.js:39-46`) — that pick-every-Nth is what makes the lines jump.
│
│ ## Changes
│
│ **1. `app/config.py`** — add a setting (env `DASH_CHART_MAX_POINTS`):
│
│ ```python
│ chart_max_points: int = 200
│ ```
│
│ **2. `app/routers/overview.py`** — add a `_window_average(snap, max_points)` helper, called at
│ the top of `history()`:
│
│ - If `len(snap) <= max_points`, return unchanged (current behavior).
│ - Otherwise split into `ceil(n / 200)` contiguous windows of `ceil(n / max_points)` samples each
│ (default retention → ~9 samples / ~18 s per window); total output ≤ 200 points.
│ - Per window, per key: mean of the **non-None** values only. Keys that are all-None in a window
│ simply don't appear in that window's dict — the existing union-of-keys + `None`-padding loop in
│ the endpoint (the AGENTS.md documented alignment behavior) still lines everything up against
│ `ts`.
│ - Types: if all values in a window are ints → `round(mean)` (keeps byte counts like `mem_total`
│ integral); otherwise `round(mean, 1)` (matches current rounding).
│ - Window timestamp = last sample's ts in the window, so the right edge of the chart stays at
│ "now".
│ - Rest of the endpoint (key scan, null padding, `round(t, 1)`) is untouched.
│
│ **3. `static/js/app.js`** — no change. Its 400-point `downsampleIdx` becomes a dormant fallback;
│ with ≤ 200 points from the server it never triggers.
│
│ ## Verification
│
│ 1. `uv run python -m compileall -q app`
│ 2. `uvx basedpyright app`
│ 3. Synthetic check: feed the helper 1800 fake samples (incl. keys with `None` gaps, int and
│ float keys) and assert ≤ 200 windows, correct means, preserved alignment.
│ 4. Restart the dev server (the documented kill + `setsid nohup` pattern), then `curl -s
│ http://127.0.0.1:8501/api/history | python3 -c 'import json,sys;
│ print(len(json.load(sys.stdin)["ts"]))'` → ≤ 200 once the buffer has filled (≥ ~7 min uptime;
│ the synthetic test covers the short-buffer case), and `grep -c Traceback /tmp/dash.log`.
│
│ ## Note
│
│ Window averaging smooths out sub-window spikes — a 2 s CPU burst will show as a smaller bump
│ averaged over ~18 s. If you'd rather *preserve* peaks, an alternative is a min/max envelope (two
│ 200-point series), but I'll go with plain averaging as requested.
│
│ Want me to proceed with this plan?
│
│ tokens 39 in 1727 out 22536 cached 0 written $0.0000 stop
│ 2026-08-30 18:02:22 • user
│
│ preserving peaks sounds better
│ 2026-08-30 18:02:22 • assistant • Qwen3.8-27B-Think @plan
│
│ The user wants to preserve peaks — that is, not simple window averaging, but a min/max envelope.
│ Let me think about what this means for the design.
│
│ **Min/max envelope downsampling (standard approach, e.g., what many observability tools do):**
│ - Split the N samples into W windows (W ≤ 200, W = ceil(N/200)).
│ - For each window, for each key: emit min and max (and also first/last for connecting the
│ segments).
│ - Rendering: draw the envelope as a filled band (min as the lower boundary, max as the upper
│ boundary). The "line" is usually drawn connecting the window's first and last points so that
│ segments link up.
│
│ **How to send it to the client?**
│
│ Options:
│
│ **Option A: Server sends min and max series (2× keys), client draws a filled band between
│ them.**
│ - Server returns for each key `k`: `series[k]` becomes... hmm. Currently `series` is `dict[str,
│ list]`. We can extend the payload: each key maps to `{min: [...], max: [...], first: [...],
│ last: [...]}`? That changes the shape — the client needs to be updated.
│ - The Chart.js band is drawn by using two datasets: `max` (border) and `min` (fill to dataset
│ above). Standard technique: a dataset for max with `fill: '-1'` (fill to the next dataset), and
│ a dataset for min with fill false, ordering is... actually, the common pattern:
│ - dataset A: max values, `fill: '+1'` (fill to the next dataset below),
│ - dataset B: min values, `fill: false`.
│ And optionally draw a line connecting first/last.
│
│ The fill between max and min shows the range; the max line and the min line are visible as the
│ top/bottom borders of the band.
│
│ To link windows (so the line doesn't look like floating islands), include the window's
│ first/last values: draw a line dataset that goes first → ... hmm, the classic trick (from
│ Chart.js docs on "line segment linking"): a single dataset with points that alternate? A
│ simpler classic approach:
│ - dataset "range max" (max points) with fill to min dataset
│ - dataset "range min"
│ - A line dataset connecting w
│ … [14176 more chars]
│
│ bash ls /home/mac/Code/dashboard/static /home/mac/Code/dashboard/static/js /home/… ok 0.0s
│ in
│ {
│ "command": "ls /home/mac/Code/dashboard/static /home/mac/Code/dashboard/static/js
│ /home/mac/Code/dashboard/static/css 2>/dev/null; ls /home/mac/Code/dashboard/screenshots |
│ head"
│ }
│ out
│ /home/mac/Code/dashboard/static:
│ css
│ js
│ vendor
│
│ /home/mac/Code/dashboard/static/css:
│ style.css
│
│ /home/mac/Code/dashboard/static/js:
│ app.js
│ Disks_20260830.png
│ Journal_20260830.png
│ Overview_20260830.png
│ Plugins_20260830.png
│ Processes_20260830.png
│ Services_20260830.png
│ grep chart|Chart ok 0.0s
│ in
│ {
│ "pattern": "chart|Chart",
│ "path": "/home/mac/Code/dashboard/templates/index.html"
│ }
│ out
│ Found 5 matches
│ /home/mac/Code/dashboard/templates/index.html:
│ Line 9: <script src="/static/vendor/chart.umd.min.js"></script>
│
│ Line 26: <div class="charts-grid">
│
│ Line 27: <div class="chart-card"><h3>CPU / GPU %</h3><canvas
│ id="chart-cpu"></canvas></div>
│
│ Line 28: <div class="chart-card"><h3>Memory / VRAM %</h3><canvas
│ id="chart-mem"></canvas></div>
│
│ Line 29: <div class="chart-card"><h3>Disk I/O</h3><canvas
│ id="chart-io"></canvas></div>
│
│ tokens 15644 in 4351 out 8674 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:04:48 • assistant • Qwen3.8-27B-Think @plan
│
│ Chart.js is a local vendor file: `/static/vendor/chart.umd.min.js`. Let me check its version (in
│ order to know whether the relative specification `'-1'` for fill and legend filter are supported
│ — all versions of Chart.js 3/4 support these, but let's confirm the version anyway). Also, I'll
│ check the chart area of overview.html (the canvas is in index.html, and the overview tab is part
│ of the index page — the charts are in index.html, not overview.html. No problem, no template
│ changes needed).
│
│ Let me quickly check the version of chart.umd.min.js.
│
│ bash head -c 400 /home/mac/Code/dashboard/static/vendor/chart.umd.min.js; echo; l… ok 0.0s
│ in
│ {
│ "command": "head -c 400 /home/mac/Code/dashboard/static/vendor/chart.umd.min.js; echo; ls
│ /home/mac/Code/dashboard/static/vendor"
│ }
│ out
│ /*!
│ * Chart.js v4.4.1
│ * https://www.chartjs.org
│ * (c) 2023 Chart.js Contributors
│ * Released under the MIT License
│ */
│ !function(t,e){"object"==typeof exports&&"undefined"!=typeof
│ module?module.exports=e():"function"==typeof
│ define&&define.amd?define(e):(t="undefined"!=typeof
│ globalThis?globalThis:t||self).Chart=e()}(this,(function(){"use strict";var
│ t=Object.freeze({__proto__:null,get Colors()
│ chart.umd.min.js
│ htmx.min.js
│
│ tokens 289 in 187 out 28669 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:04:54 • assistant • Qwen3.8-27B-Think @plan
│
│ Chart.js v4.4.1 — supports the following:
│ - Filler plugin built-in (included in the UMD build)
│ - Relative specification for `fill: '-1'` (fills to the immediately preceding dataset) — in
│ Chart.js 4, the `fill` option accepts `true/false/number/string`, and number-like strings
│ `'-1'`/`'1'` are relative references. Actually, let me re-verify the exact semantics in v4: from
│ the Chart.js docs (filler plugin):
│
│ ```
│ fill: {
│ value: true | false | number | string,
│ // Default: false
│ }
│ ```
│ The string values are: `'start'`, `'end'`, `'origin'`, `'stack'`, `'dataset'`. And numbers are
│ dataset indices. Relative references: the docs show an example of `fill: '-1'` — hmm. I recall
│ the Chart.js docs had "You can also use the special strings 'start', 'end', 'origin', 'stack',
│ 'dataset'"… and for relative: the example in the docs uses `fill: '-1'`? Let me think about the
│ Chart.js 4 docs on line fill:
│
│ From the Chart.js docs (Line chart → Fill between lines… no wait, that's in the "filler" plugin
│ section):
│
│ > ```
│ > // fill with the dataset above
│ > {
│ > fill: '-1'
│ > }
│ > // fill with the dataset below
│ > {
│ > fill: '1'
│ > }
│ > ```
│
│ Hmm, I'm honestly not 100% sure whether the relative syntax is the string `'-1'` or the number
│ `-1`. In the Chart.js source, the `filler` plugin resolves the fill target: if it's a number or
│ a string that looks like a number, it's a relative offset from the dataset index. From the
│ source (chart.js src/plugins/plugin.filler/index.js):
│
│ ```js
│ function isPointInsideArea...
│ function decodeFill(data, index, count) {
│ let fill = decodeFillValue(data.fill);
│ if (fill === undefined) return false;
│ if (fill === true) return 'origin';
│ ...
│ if (typeof fill === 'number') {
│ // relative index
│ return index + fill; // roughly
│ }
│ ```
│
│ Hmm. Actually, in the Chart.js 4 source:
│
│ ```js
│ const decodeFill = (fill) => {
│ if (fill === undefined) return;
│ ...
│ };
│ ```
│
│ I recall the docs example:
│
│ ```js
│ datasets: [{
│ label: 'Dataset 1',
│ data: [...],
│ fill: 2, // f
│ … [3727 more chars]
│
│ bash ls /home/mac/Code/dashboard/deploy; which chromium chromium-browser google-c… ok 0.0s
│ in
│ {
│ "command": "ls /home/mac/Code/dashboard/deploy; which chromium chromium-browser
│ google-chrome headless_shell 2>/dev/null; python3 -c \"import playwright\" 2>&1 | head -1;
│ ls ~/.cache/ms-playwright 2>/dev/null | head"
│ }
│ out
│ dashboard.service
│ /usr/bin/chromium
│ Traceback (most recent call last):
│ grep screenshot|Screenshot ok 0.0s
│ in
│ {
│ "pattern": "screenshot|Screenshot",
│ "path": "/home/mac/Code/dashboard/README.md"
│ }
│ out
│ Found 6 matches
│ /home/mac/Code/dashboard/README.md:
│ Line 8: ## Screenshots
│
│ Line 12: | ![Overview](screenshots/Overview_20260830.png) |
│ ![Disks](screenshots/Disks_20260830.png) |
│
│ Line 14: | ![Processes](screenshots/Processes_20260830.png) |
│ ![Journal](screenshots/Journal_20260830.png) |
│
│ Line 16: | ![Services](screenshots/Services_20260830.png) |
│ ![Plugins](screenshots/Plugins_20260830.png) |
│
│
│ /home/mac/Code/dashboard/opencode/opencode_session_2026-08-30.txt:
│ Line 5324: │ - Screenshots / tab overview
│
│ Line 12812: │ Another check: verify that the chart actually renders — can't take
│ screenshots, but the JS
│
│ tokens 146 in 1657 out 29144 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:05:39 • assistant • Qwen3.8-27B-Think @plan
│
│ `/usr/bin/chromium` is available — can use headless Chromium to take screenshots of the page for
│ visual verification (e.g., `chromium --headless --screenshot=... --window-size=1400,900
│ http://127.0.0.1:8501/`). That way I can visually verify the band rendering.
│
│ OK, let me finalize the design for the min/max envelope.
│
│ ### Server side
│
│ **`app/config.py`**: Add `chart_max_points: int = 200`.
│
│ **`app/routers/overview.py`**:
│
│ Replace the body of `history()`:
│
│ ```python
│ @router.get("/history")
│ async def history(request: Request):
│ snap = request.app.state.store.snapshot()
│ snap = _window(snap, get_settings().chart_max_points)
│ ts = [round(t, 1) for t, _ in snap]
│ keys: set[str] = set()
│ for _, sample in snap:
│ keys.update(sample) # wait — need numeric check
│ ...
│ ```
│
│ Hmm, the existing key scan checks `isinstance(v, (int, float)) and not isinstance(v, bool)` per
│ sample — keys whose value is non-numeric in some sample are still counted if numeric in others.
│ The union of keys stays as-is, and padding handles missing/non-numeric → None.
│
│ New response shape:
│
│ ```json
│ {
│ "ts": [...≤200...],
│ "series": {
│ "cpu": {"avg": [...], "min": [...], "max": [...]},
│ ...
│ }
│ }
│ ```
│
│ Helper:
│
│ ```python
│ def _window(snap: list[tuple[float, dict[str, float | int | None]]], max_points: int) ->
│ list[...]:
│ n = len(snap)
│ if n <= max_points:
│ return snap
│ w = math.ceil(n / max_points)
│ out = []
│ 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, dict[str, float | int | None]] = {}
│ for k, lst in vals.items():
│ ints = all(isinstance(v, int) for v in lst)
│ f = round if ints else lambda x: round(x, 1)
│ row[k] = {
│
│ … [9167 more chars]
│
│ Good call — a min/max envelope (Grafana's "min/max/mean" look) keeps spikes visible while
│ staying smooth. I checked Chart.js v4.4.1 is vendored locally (`static/vendor/chart.umd.min.js`,
│ filler plugin built in) and headless Chromium is available for visual verification. Revised
│ plan:
│
│ ## Server: `app/routers/overview.py`
│
│ New `_window(snap, max_points)` helper, called in `history()`:
│
│ - `w = max(1, ceil(n / max_points))` → contiguous windows; **one code path** — when `n ≤ 200`,
│ `w = 1` so each "window" is a single sample (`avg = min = max = value`).
│ - Per window, per key (non-None numeric values only): emit `{"avg": mean, "min": min, "max":
│ max}`. All-int values stay ints (byte counts); floats round to 1 dp (current behavior). A key
│ absent/None across a whole window produces no entry → the existing union-of-keys +
│ `None`-padding loop (AGENTS.md alignment rule) still fills every array to align with `ts`.
│ - Window timestamp = last sample's ts (chart right edge stays at "now").
│
│ Response shape changes from `series: {k: [v, ...]}` to:
│
│ ```json
│ {"ts": [≤200], "series": {"cpu": {"avg": [...], "min": [...], "max": [...]}, ...}}
│ ```
│
│ Payload also shrinks ~3× (16 keys × 200 pts × 3 vs 16 × 1800). Which keys are sent is unchanged.
│
│ ## Config: `app/config.py`
│
│ Add `chart_max_points: int = 200` (env `DASH_CHART_MAX_POINTS`), read via `get_settings()` like
│ the plugins do.
│
│ ## Client: `static/js/app.js`
│
│ - Drop `downsampleIdx`/`pick` (server now guarantees the cap).
│ - Per charted key build 3 datasets: **avg line** (1.5 px, tension 0.25, labeled — the only
│ legend entry), **max line** (1 px, `fill` to the min dataset's index, ~18 % alpha
│ `backgroundColor`), **min line** (1 px, no label; `band` flag + legend `labels.filter` so it
│ doesn't appear in the legend). Arrays are built programmatically per chart, so the fill target
│ index is exact.
│ - Missing-key guard stays (`hist.series[k] || {avg:[],min:[],max:[]}`); nulls break the
│ band/line naturally (no `spanGaps`). Scales, polling, everything else untouched.
│
│ ## Docs: `AGENTS.md`
│
│ Update the `/api/history` null-padding pitfall line to describe the new behavior (≤
│ `chart_max_points` windows, `avg`/`min`/`max` per key, null-padded alignment).
│
│ ## Verification
│
│ 1. `uv run python -m compileall -q app`
│ 2. `uvx basedpyright app`
│ 3. Synthetic check: 1800 fake samples (constant + spike + int key + float key + `None`-gap key)
│ → assert ≤ 200 windows, exact `avg`/`min`/`max` on known windows, `None` propagation, int
│ preservation.
│ 4. Restart dev server (documented kill + `setsid nohup` pattern), then:
│ - `curl -s http://127.0.0.1:8501/api/history` → `ts` ≤ 200 and each key's three arrays
│ aligned to `ts`;
│ - headless Chromium screenshot of `http://127.0.0.1:8501/` → visually confirm bands render
│ (fill between min/max, avg line on top, 2-entry legend);
│ - `grep -c Traceback /tmp/dash.log`.
│
│ One note: the avg line is included so the charts keep a readable "typical value" trace — say the
│ word if you'd rather have a bare band (min/max only). Otherwise, ready to implement.
│
│ tokens 269 in 4074 out 30948 cached 0 written $0.0000 stop
│ 2026-08-30 18:09:25 • user
│
│ ok go
│ 2026-08-30 18:09:25 • assistant • Qwen3.8-27B-Think
│
│ Let's implement the plan:
│
│ 1. `app/config.py`: Add `chart_max_points: int = 200`
│ 2. `app/routers/overview.py`: Add `_window` helper, change the shape of the history endpoint
│ 3. `static/js/app.js`: Envelope dataset
│ 4. `AGENTS.md`: Update the pitfalls line
│ 5. Verification: compileall, basedpyright, synthetic test, server restart, curl, chromium
│ screenshot, tracebacks.
│
│ Let me set up the todo and get started.
│
│ todowrite 5 todos ok 0.0s
│ in
│ {
│ "todos": [
│ {
│ "content": "Add chart_max_points setting to app/config.py",
│ "status": "in_progress",
│ "priority": "high"
│ },
│ {
│ "content": "Window-average (avg/min/max) in /api/history",
│ "status": "pending",
│ "priority": "high"
│ },
│ {
│ "content": "Rewrite chart datasets in static/js/app.js as min/max bands",
│ "status": "pending",
│ "priority": "high"
│ },
│ {
│ "content": "Update AGENTS.md /api/history pitfall note",
│ "status": "pending",
│ "priority": "medium"
│ },
│ {
│ "content": "Verify: compileall, basedpyright, synthetic test, restart, curl,
│ screenshot",
│ "status": "pending",
│ "priority": "high"
│ }
│ ]
│ }
│ out
│ [
│ {
│ "content": "Add chart_max_points setting to app/config.py",
│ "status": "in_progress",
│ "priority": "high"
│ },
│ {
│ "content": "Window-average (avg/min/max) in /api/history",
│ "status": "pending",
│ "priority": "high"
│ },
│ {
│ "content": "Rewrite chart datasets in static/js/app.js as min/max bands",
│ "status": "pending",
│ "priority": "high"
│ },
│ {
│ "content": "Update AGENTS.md /api/history pitfall note",
│ "status": "pending",
│ "priority": "medium"
│ },
│ {
│ "content": "Verify: compileall, basedpyright, synthetic test, restart, curl,
│ screenshot",
│ "status": "pending",
│ "priority": "high"
│ }
│ ]
│
│ tokens 35080 in 290 out 0 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:10:25 • assistant • Qwen3.8-27B-Think
│
│ The user approved the plan. Let's start the implementation.
│
│ 1. First, I'll edit config.py.
│
│ edit /home/mac/Code/dashboard/app/config.py ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/app/config.py",
│ "oldString": " host: str = \"127.0.0.1\"\n port: int = 8501\n sample_interval:
│ float = 2.0\n retention_minutes: int = 60",
│ "newString": " host: str = \"127.0.0.1\"\n port: int = 8501\n sample_interval:
│ float = 2.0\n retention_minutes: int = 60\n chart_max_points: int = 200"
│ }
│ out Edit applied successfully.
│
│ tokens 224 in 190 out 35370 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) 0e224f59
│ 2026-08-30 18:10:30 • assistant • Qwen3.8-27B-Think
│
│ Next up is the router. Rewriting `/api/history` in app/routers/overview.py:
│
│ ```python
│ import asyncio
│ import math
│ import socket
│ import time
│ from typing import Any
│
│ import psutil
│ 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": round(min(lst)) if ints else round(min(lst), 1),
│ "max": round(max(lst)) if ints else round(max(lst), 1),
│ }
│ out.append((chunk[-1][0], row))
│ return out
│ ```
│
│ Wait — about min/max for int: since the values are already int, round(min(lst)) is the same int.
│ `round(min(lst))` on an int returns an int. No problem.
│
│ Type annotation for the RowAgg values: float | int | None. After the computation they're always
│ non-None, but the dict type allows None. basedpyright: `row[k] = {"avg": round(avg) if ints else
│ round(avg, 1), ...}` — avg is float; round(avg) → int; round(avg,1) → float. The value type is
│ float|int — assignable to float|i
│ … [1556 more chars]
│
│ Now the router:
│
│ edit /home/mac/Code/dashboard/app/routers/overview.py ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/app/routers/overview.py",
│ "oldString": "import asyncio\nimport socket\nimport time\nfrom typing import Any\n\nimport
│ psutil\nfrom fastapi import APIRouter, Request\nfrom fastapi.responses import
│ HTMLResponse, JSONResponse\n\nfrom app.collect import net as net_col\nfrom app.render
│ import render, uptime_str\n\nrouter = APIRouter(prefix=\"/api\", tags=[\"overview\"])",
│ "newString": "import asyncio\nimport math\nimport socket\nimport time\nfrom typing import
│ Any\n\nimport psutil\nfrom fastapi import APIRouter, Request\nfrom fastapi.responses
│ import HTMLResponse, JSONResponse\n\nfrom app.collect import net as net_col\nfrom
│ app.config import get_settings\nfrom app.render import render, uptime_str\n\nrouter =
│ APIRouter(prefix=\"/api\", tags=[\"overview\"])\n\nRowAgg = dict[str, float | int |
│ None]\n\n\ndef _window(\n snap: list[tuple[float, dict[str, float | int | None]]],
│ max_points: int\n) -> list[tuple[float, dict[str, RowAgg]]]:\n n = len(snap)\n w =
│ max(1, math.ceil(n / max_points))\n out: list[tuple[float, dict[str, RowAgg]]] = []\n
│ for start in range(0, n, w):\n chunk = snap[start : start + w]\n vals:
│ dict[str, list[int | float]] = {}\n for _, sample in chunk:\n for k, v
│ in sample.items():\n if isinstance(v, (int, float)) and not isinstance(v,
│ bool):\n vals.setdefault(k, []).append(v)\n row: dict[str,
│ RowAgg] = {}\n for k, lst in vals.items():\n ints = all(isinstance(v,
│ int) for v in lst)\n avg = sum(lst) / len(lst)\n row[k] = {\n
│ \"avg\": round(avg) if ints else round(avg, 1),\n \"min\": min(lst) if ints
│ else round(min(lst), 1),\n \"max\": max(lst) if ints else round(max(lst),
│ 1),\n }\n out.append((chunk[-1][0], row))\n return out"
│ }
│ out Edit applied successfully.
│
│ tokens 19 in 1486 out 35784 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) 74f83e4f
│ 2026-08-30 18:11:05 • assistant • Qwen3.8-27B-Think
│
│ Wait, `min(lst) if ints else round(min(lst), 1)` — in the ints case, min(lst) is already an int
│ so no rounding is needed. In the floats case, round(min, 1). No problem. (Earlier I wrote
│ round(min(lst)) in the plan, but for ints it's an identity operation.)
│
│ Next, the endpoint body.
│
│ edit /home/mac/Code/dashboard/app/routers/overview.py ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/app/routers/overview.py",
│ "oldString": "@router.get(\"/history\")\nasync def history(request: Request):\n snap =
│ request.app.state.store.snapshot()\n ts = [round(t, 1) for t, _ in snap]\n keys:
│ set[str] = set()\n for _, sample in snap:\n for k, v in sample.items():\n
│ if isinstance(v, (int, float)) and not isinstance(v, bool):\n keys.add(k)\n
│ series: dict[str, list[Any]] = {}\n for _, sample in snap:\n for k in keys:\n
│ v = sample.get(k)\n if isinstance(v, (int, float)) and not isinstance(v,
│ bool):\n if isinstance(v, float):\n v = round(v, 1)\n
│ else:\n v = None\n series.setdefault(k, []).append(v)\n
│ return JSONResponse({\"ts\": ts, \"series\": series})",
│ "newString": "@router.get(\"/history\")\nasync def history(request: Request):\n snap =
│ _window(request.app.state.store.snapshot(), get_settings().chart_max_points)\n ts =
│ [round(t, 1) for t, _ in snap]\n keys: set[str] = set()\n for _, row in snap:\n
│ keys.update(row)\n series: dict[str, dict[str, list[Any]]] = {\n k: {\"avg\":
│ [], \"min\": [], \"max\": []} for k in keys\n }\n for _, row in snap:\n for k
│ in keys:\n agg = row.get(k)\n for m in (\"avg\", \"min\",
│ \"max\"):\n series[k][m].append(agg[m] if agg else None)\n return
│ JSONResponse({\"ts\": ts, \"series\": series})"
│ }
│ out Edit applied successfully.
│
│ tokens 18 in 522 out 37290 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) ba2b1563
│ 2026-08-30 18:11:16 • assistant • Qwen3.8-27B-Think
│
│ Next up is the client side: static/js/app.js. Changes:
│
│ 1. Delete the `downsampleIdx` function.
│ 2. Replace `updateCharts` with an envelope version.
│ 3. The `newDs` helper is no longer used by the chart (it's only used in initCharts). Should I
│ keep `newDs`? After the changes, initCharts still creates the initial empty datasets — I can
│ build the initial datasets with the new envelope builder using an empty array. Let me
│ restructure:
│
│ ```js
│ function envelopeDs(name, color, s) {
│ s = s || { avg: [], min: [], max: [] };
│ return [
│ { label: name, data: s.avg, borderColor: color, backgroundColor: color, borderWidth: 1.5,
│ pointRadius: 0, tension: 0.25, fill: false, order: 0 },
│ { label: "", band: true, data: s.max, borderColor: color, backgroundColor: color + "2e",
│ borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 1 },
│ { label: "", band: true, data: s.min, borderColor: color, backgroundColor: color,
│ borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 2 },
│ ];
│ }
│ ```
│
│ After that, set the fill target after concatenation: for a 2-key chart, the datasets array
│ length is 6; max_i is at index 3i+1, min_i is at 3i+2. So:
│
│ ```js
│ function setKey(chart, keys) { // hmm
│ ```
│
│ Let me restructure updateCharts:
│
│ ```js
│ function bandCharts() {
│ ...
│ }
│ ```
│
│ The simplest approach:
│
│ ```js
│ function updateCharts(hist) {
│ if (!hist || !hist.ts || !hist.ts.length) return;
│ const labels = hist.ts.map(fmtTime);
│ const build = (chart, pairs) => {
│ chart.data.labels = labels;
│ chart.data.datasets = [];
│ pairs.forEach(([name, color, key], i) => {
│ const s = (hist.series && hist.series[key]) || { avg: [], min: [], max: [] };
│ const ds = envelopeDs(name, color, s);
│ ds[1].fill = i * 3 + 2;
│ chart.data.datasets.push(...ds);
│ });
│ chart.update("none");
│ };
│ build(charts.cpu, [["CPU", "#4fc3f7", "cpu"], ["GPU", "#ba68c8", "gpu"]]);
│ build(charts.mem, [["Memory", "#81c784", "mem_pct"], ["VRAM", "#ffb74d", "vram_pct"]]);
│ build(cha
│ … [9300 more chars]
│
│ Now the client side (`static/js/app.js`):
│
│ edit /home/mac/Code/dashboard/static/js/app.js ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/static/js/app.js",
│ "oldString": " function downsampleIdx(len, max) {\n if (len <= max) return null;\n
│ const step = Math.ceil(len / max);\n const idx = [];\n for (let i = 0; i < len; i +=
│ step) idx.push(i);\n if (idx[idx.length - 1] !== len - 1) idx.push(len - 1);\n
│ return idx;\n }\n\n // ---------- charts ----------",
│ "newString": " // ---------- charts ----------"
│ }
│ out Edit applied successfully.
│
│ tokens 18 in 3447 out 37831 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) 2ae871ab
│ 2026-08-30 18:12:45 • assistant • Qwen3.8-27B-Think
│
│ Alright, let me check the current state of app.js around the chart code.
│
│ read /home/mac/Code/dashboard/static/js/app.js [output truncated] ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/static/js/app.js",
│ "offset": 39,
│ "limit": 90
│ }
│ out
│ <path>/home/mac/Code/dashboard/static/js/app.js</path>
│ <type>file</type>
│ <content>
│ 39: // ---------- charts ----------
│ 40: const charts = {};
│ 41:
│ 42: function baseOpts(extra) {
│ 43: const o = {
│ 44: animation: false,
│ 45: responsive: true,
│ 46: maintainAspectRatio: false,
│ 47: interaction: { mode: "index", intersect: false },
│ 48: plugins: { legend: { display: false } },
│ 49: scales: {
│ 50: x: { ticks: { maxTicksLimit: 7, maxRotation: 0, color: "#7d8a9c" }, grid: {
│ display: false } },
│ 51: y: { beginAtZero: true, ticks: { color: "#7d8a9c" }, grid: { color:
│ "rgba(42,51,66,.5)" } },
│ 52: },
│ 53: };
│ 54: if (extra) Object.assign(o.scales.y, extra);
│ 55: return o;
│ 56: }
│ 57:
│ 58: function newDs(label, color, extra) {
│ 59: return Object.assign(
│ 60: { label, data: [], borderColor: color, backgroundColor: color, borderWidth: 1.5,
│ pointRadius: 0, tension: 0.25, fill: false },
│ 61: extra || {}
│ 62: );
│ 63: }
│ 64:
│ 65: const LEGEND = { display: true, labels: { boxWidth: 10, color: "#7d8a9c" } };
│ 66:
│ 67: function initCharts() {
│ 68: if (typeof Chart === "undefined") return;
│ 69: charts.cpu = new Chart(document.getElementById("chart-cpu"), {
│ 70: type: "line",
│ 71: data: {
│ 72: labels: [],
│ 73: datasets: [newDs("CPU", "#4fc3f7"), newDs("GPU", "#ba68c8")],
│ 74: },
│ 75: options: baseOpts({ max: 100 }),
│ 76: });
│ 77: charts.cpu.options.plugins.legend = LEGEND;
│ 78: charts.mem = new Chart(document.getElementById("chart-mem"), {
│ 79: type: "line",
│ 80: data: {
│ 81: labels: [],
│ 82: datasets: [newDs("Memory", "#81c784"), newDs("VRAM", "#ffb74d")],
│ 83: },
│ 84: options: baseOpts({ max: 100 }),
│ 85: });
│ 86: charts.mem.options.plugins.legend = LEGEND;
│ 87: charts.io = new Chart(document.getElementById("chart-io"), {
│ 88: type: "line",
│ 89: data: {
│ 90: labels: [],
│ 91: datasets: [
│ … [1470 more chars]
│ truncated 3470 chars shown, the rest was not kept
│
│ tokens 19 in 78 out 41296 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:12:47 • assistant • Qwen3.8-27B-Think
│
│ OK, so let's replace newDs + LEGEND + initCharts + updateCharts. Note: LEGEND is shared across
│ all 3 charts, and `labels.filter` will be applied to each chart — no problem.
│
│ Edit A: newDs → envelopeDs, add filter to LEGEND.
│
│ edit /home/mac/Code/dashboard/static/js/app.js ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/static/js/app.js",
│ "oldString": " function newDs(label, color, extra) {\n return Object.assign(\n {
│ label, data: [], borderColor: color, backgroundColor: color, borderWidth: 1.5,
│ pointRadius: 0, tension: 0.25, fill: false },\n extra || {}\n );\n }\n\n const
│ LEGEND = { display: true, labels: { boxWidth: 10, color: \"#7d8a9c\" } };",
│ "newString": " function envelopeDs(name, color, s) {\n s = s || {};\n return [\n
│ { label: name, data: s.avg || [], borderColor: color, backgroundColor: color, borderWidth:
│ 1.5, pointRadius: 0, tension: 0.25, fill: false, order: 0 },\n { label: name + \"
│ max\", band: true, data: s.max || [], borderColor: color, backgroundColor: color + \"2e\",
│ borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 2 },\n { label: name
│ + \" min\", band: true, data: s.min || [], borderColor: color, backgroundColor: color,
│ borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 1 },\n ];\n }\n\n
│ const LEGEND = { display: true, labels: { boxWidth: 10, color: \"#7d8a9c\", filter: (item)
│ => !item.dataset.band } };"
│ }
│ out Edit applied successfully.
│
│ tokens 1306 in 455 out 41392 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) 06c1cac5
│ 2026-08-30 18:13:01 • assistant • Qwen3.8-27B-Think
│
│ Wait — the array order in `envelopeDs`: [avg(idx0), max(idx1), min(idx2)]. `order` values: avg
│ 0, max 2, min 1. In Chart.js, the higher the `order` → the earlier it's drawn (the further back
│ it goes). So the drawing is: max (order 2) first, then min (1), and finally avg (0) at the very
│ front.
│
│ Next, initCharts: replace the use of newDs with envelopeDs.
│
│ edit /home/mac/Code/dashboard/static/js/app.js ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/static/js/app.js",
│ "oldString": " charts.cpu = new Chart(document.getElementById(\"chart-cpu\"), {\n
│ type: \"line\",\n data: {\n labels: [],\n datasets: [newDs(\"CPU\",
│ \"#4fc3f7\"), newDs(\"GPU\", \"#ba68c8\")],\n },\n options: baseOpts({ max: 100
│ }),\n });\n charts.cpu.options.plugins.legend = LEGEND;\n charts.mem = new
│ Chart(document.getElementById(\"chart-mem\"), {\n type: \"line\",\n data: {\n
│ labels: [],\n datasets: [newDs(\"Memory\", \"#81c784\"), newDs(\"VRAM\",
│ \"#ffb74d\")],\n },\n options: baseOpts({ max: 100 }),\n });\n
│ charts.mem.options.plugins.legend = LEGEND;\n charts.io = new
│ Chart(document.getElementById(\"chart-io\"), {\n type: \"line\",\n data: {\n
│ labels: [],\n datasets: [newDs(\"read\", \"#e57373\"), newDs(\"write\",
│ \"#fff176\")],\n },\n options: baseOpts({",
│ "newString": " charts.cpu = new Chart(document.getElementById(\"chart-cpu\"), {\n
│ type: \"line\",\n data: {\n labels: [],\n datasets:
│ [].concat(envelopeDs(\"CPU\", \"#4fc3f7\"), envelopeDs(\"GPU\", \"#ba68c8\")),\n },\n
│ options: baseOpts({ max: 100 }),\n });\n charts.cpu.options.plugins.legend =
│ LEGEND;\n charts.mem = new Chart(document.getElementById(\"chart-mem\"), {\n type:
│ \"line\",\n data: {\n labels: [],\n datasets:
│ [].concat(envelopeDs(\"Memory\", \"#81c784\"), envelopeDs(\"VRAM\", \"#ffb74d\")),\n
│ },\n options: baseOpts({ max: 100 }),\n });\n charts.mem.options.plugins.legend
│ = LEGEND;\n charts.io = new Chart(document.getElementById(\"chart-io\"), {\n type:
│ \"line\",\n data: {\n labels: [],\n datasets:
│ [].concat(envelopeDs(\"read\", \"#e57373\"), envelopeDs(\"write\", \"#fff176\")),\n
│ },\n options: baseOpts({"
│ }
│ out Edit applied successfully.
│
│ tokens 20 in 686 out 43152 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) c45c1c24
│ 2026-08-30 18:13:17 • assistant • Qwen3.8-27B-Think
│
│ Next, I'll rewrite updateCharts:
│
│ edit /home/mac/Code/dashboard/static/js/app.js ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/static/js/app.js",
│ "oldString": " function updateCharts(hist) {\n if (!hist || !hist.ts ||
│ !hist.ts.length) return;\n const ts = hist.ts;\n const idx =
│ downsampleIdx(ts.length, 400);\n const pick = (arr) => (arr && idx ? idx.map((i) => (i
│ < arr.length ? arr[i] : null)) : arr);\n const labels = (idx ? idx.map((i) => ts[i]) :
│ ts).map(fmtTime);\n\n const set2 = (chart, keys) => {\n chart.data.labels =
│ labels;\n keys.forEach((k, i) => {\n chart.data.datasets[i].data =
│ pick(hist.series[k]) || [];\n });\n chart.update(\"none\");\n };\n
│ set2(charts.cpu, [\"cpu\", \"gpu\"]);\n set2(charts.mem, [\"mem_pct\",
│ \"vram_pct\"]);\n\n charts.io.data.labels = labels;\n
│ charts.io.data.datasets[0].data = pick(hist.series.io_read) || [];\n
│ charts.io.data.datasets[1].data = pick(hist.series.io_write) || [];\n
│ charts.io.update(\"none\");\n }",
│ "newString": " function updateCharts(hist) {\n if (!hist || !hist.ts ||
│ !hist.ts.length) return;\n const labels = hist.ts.map(fmtTime);\n const series =
│ hist.series || {};\n const build = (chart, pairs) => {\n chart.data.labels =
│ labels;\n chart.data.datasets = [];\n pairs.forEach(([name, color, key], i) =>
│ {\n const ds = envelopeDs(name, color, series[key]);\n ds[1].fill = i * 3 +
│ 2;\n chart.data.datasets.push(...ds);\n });\n chart.update(\"none\");\n
│ };\n build(charts.cpu, [[\"CPU\", \"#4fc3f7\", \"cpu\"], [\"GPU\", \"#ba68c8\",
│ \"gpu\"]]);\n build(charts.mem, [[\"Memory\", \"#81c784\", \"mem_pct\"], [\"VRAM\",
│ \"#ffb74d\", \"vram_pct\"]]);\n build(charts.io, [[\"read\", \"#e57373\", \"io_read\"],
│ [\"write\", \"#fff176\", \"io_write\"]]);\n }"
│ }
│ out Edit applied successfully.
│
│ tokens 18 in 574 out 43859 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) 8cafc926
│ 2026-08-30 18:13:30 • assistant • Qwen3.8-27B-Think
│
│ Next, I'll update the pitfalls line in AGENTS.md. Let me read the relevant section.
│
│ Now the AGENTS.md pitfall note:
│
│ read /home/mac/Code/dashboard/AGENTS.md ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/AGENTS.md",
│ "offset": 76,
│ "limit": 14
│ }
│ out
│ <path>/home/mac/Code/dashboard/AGENTS.md</path>
│ <type>file</type>
│ <content>
│ 76: `/sys/class/power_supply/*` (type/capacity/status/online) for battery + AC
│ 77: state.
│ 78: - `iw dev <if> link` prints `SSID: name` **unquoted**; the working regex is
│ 79: `SSID:\s+(\S.*)` (a `$` anchor fails without MULTILINE).
│ 80: - `/api/history` pads series with `null` for samples missing a key so all
│ 81: series stay aligned with the timestamps — keep that behaviour if you touch
│ 82: it.
│ 83: - AMD sysfs: GPU busy/VRAM/temp under
│ 84: `/sys/class/drm/card*/device` (+ `hwmon`), CPU temp from the `k10temp`
│ 85: hwmon (fallback `acpitz` thermal zone), both in millidegrees.
│
│ (End of file - total 85 lines)
│ </content>
│
│ tokens 18 in 92 out 44452 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:13:32 • assistant • Qwen3.8-27B-Think
│
│ Let me update the AGENTS.md pitfall notes about /api/history. The current notes state that
│ series are padded with null for samples where the key is missing. Now, the new behavior is as
│ follows: the series is windowed/averaged into avg/min/max, and it's padded with null so that
│ each of the three arrays stays aligned with the timestamps.
│
│ edit /home/mac/Code/dashboard/AGENTS.md ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/AGENTS.md",
│ "oldString": "- `/api/history` pads series with `null` for samples missing a key so all\n
│ series stay aligned with the timestamps — keep that behaviour if you touch\n it.",
│ "newString": "- `/api/history` window-averages the ring buffer down to at most\n
│ `chart_max_points` (default 200) points, emitting `{avg, min, max}` per key,\n and pads
│ each of the three arrays with `null` for windows missing a key so\n they stay aligned
│ with the timestamps — keep that behaviour if you touch it."
│ }
│ out Edit applied successfully.
│
│ tokens 257 in 250 out 44561 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) 90cf2bf1
│ 2026-08-30 18:13:40 • assistant • Qwen3.8-27B-Think
│
│ Alright, let's verify. Steps:
│ 1. `uv run python -m compileall -q app`
│ 2. `uvx basedpyright app` (or `uvx basedpyright app/routers/overview.py app/config.py`)
│ 3. Synthetic test for `_window`.
│
│ Let me update the TODO and run compile + pyright in parallel.
│
│ todowrite 1 todos ok 0.0s
│ in
│ {
│ "todos": [
│ {
│ "content": "Add chart_max_points setting to app/config.py",
│ "status": "completed",
│ "priority": "high"
│ },
│ {
│ "content": "Window-average (avg/min/max) in /api/history",
│ "status": "completed",
│ "priority": "high"
│ },
│ {
│ "content": "Rewrite chart datasets in static/js/app.js as min/max bands",
│ "status": "completed",
│ "priority": "high"
│ },
│ {
│ "content": "Update AGENTS.md /api/history pitfall note",
│ "status": "completed",
│ "priority": "medium"
│ },
│ {
│ "content": "Verify: compileall, basedpyright, synthetic test, restart, curl,
│ screenshot",
│ "status": "in_progress",
│ "priority": "high"
│ }
│ ]
│ }
│ out
│ [
│ {
│ "content": "Add chart_max_points setting to app/config.py",
│ "status": "completed",
│ "priority": "high"
│ },
│ {
│ "content": "Window-average (avg/min/max) in /api/history",
│ "status": "completed",
│ "priority": "high"
│ },
│ {
│ "content": "Rewrite chart datasets in static/js/app.js as min/max bands",
│ "status": "completed",
│ "priority": "high"
│ },
│ {
│ "content": "Update AGENTS.md /api/history pitfall note",
│ "status": "completed",
│ "priority": "medium"
│ },
│ {
│ "content": "Verify: compileall, basedpyright, synthetic test, restart, curl,
│ screenshot",
│ "status": "in_progress",
│ "priority": "high"
│ }
│ ]
│ bash uv run python -m compileall -q app && echo COMPILE_OK ok 0.0s
│ in
│ {
│ "command": "uv run python -m compileall -q app && echo COMPILE_OK",
│ "workdir": "/home/mac/Code/dashboard"
│ }
│ out COMPILE_OK
│
│ tokens 45129 in 311 out 0 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:15:02 • assistant • Qwen3.8-27B-Think
│
│ Compile OK. Next is basedpyright and a synthetic test of `_window`.
│
│ For the synthetic test, I'll write a small script to /tmp/opencode and do the following:
│ - Import `_window` from app.routers.overview.
│ - Build 1800 samples with known structure:
│ - Key "cpu": floats, values cycling 0–100; with a spike of 100.0 at a known index.
│ - Key "mem_total": constant int 1_000_000.
│ - Key "gpu": None for the first 300 samples, then floats (tests None gaps + windows that are
│ all None → keys absent → padding None).
│ - Key "flag": True (bool — should be completely excluded).
│ - Key "name": string "x" (excluded).
│ - max_points=200.
│ - Asserts:
│ - len(out) == ceil(1800/200) = 9? No wait: w = ceil(1800/200) = 9; number of windows =
│ ceil(1800/9) = 200. So len(out) == 200.
│ - Each window's ts = the ts of the last sample in the chunk.
│ - cpu window 0 (samples 0..8): known values → verify avg/min/max exactly (1 decimal place).
│ - Spike: put a 100.0 spike at index 44 (window 4: samples 36–44 → w=9 → window 4 covers
│ 36..44, last index 44). That window's max must be 100.0 (peak is preserved!).
│ - mem_total: all windows are int 1_000_000, int type.
│ - gpu: windows fully contained in the first 300 samples (windows 0..32: sample 300 is window
│ 33 (297..305)) → windows 0–32 must not have the "gpu" key; window 33 has gpu (samples 297–305,
│ first 3 are None → 6 values present).
│ - bool/string keys are not included in any row.
│ - Also test the n ≤ max_points path: 50 samples, max_points 200 → 50 rows, for each row
│ avg==min==max==the sample's value.
│
│ Let me compute the expected values in the script itself (independently recomputing from the raw
│ samples — well, that's a bit circular, but it's a validation of window boundaries; better to
│ hardcode a few). Do both: for window 0 and the spike window, hardcode the expected values, and
│ additionally do a full independent recomputation with a different implementation approach
│ (groupby using divmod). Actually, a truly independent check: for each win
│ … [446 more chars]
│
│ write /tmp/opencode/test_window.py ok 0.0s
│ in
│ {
│ "filePath": "/tmp/opencode/test_window.py",
│ "content": "import math\n\nfrom app.routers.overview import _window\n\nN = 1800\nMP =
│ 200\nw = math.ceil(N / MP)\nsnap = []\nfor i in range(N):\n s = {\n \"cpu\":
│ float(i % 50),\n \"mem_total\": 1_000_000,\n \"gpu\": None if i < 300 else
│ float(10 + i % 20),\n \"flag\": True,\n \"name\": \"x\",\n }\n if i ==
│ 44:\n s[\"cpu\"] = 100.0\n snap.append((1000.0 + i * 2.0, s))\n\nout =
│ _window(snap, MP)\n\nassert len(out) == math.ceil(N / w) == MP, len(out)\nfor i, (t, row)
│ in enumerate(out):\n last = min((i + 1) * w, N) - 1\n assert t == snap[last][0], (i,
│ t, snap[last][0])\n\ndef vals(i, key):\n a, b = i * w, min((i + 1) * w, N)\n return
│ [snap[j][1][key] for j in range(a, b) if isinstance(snap[j][1][key], (int, float)) and not
│ isinstance(snap[j][1][key], bool)]\n\nr0 = out[0][1][\"cpu\"]\nv0 = vals(0,
│ \"cpu\")\nassert r0[\"avg\"] == round(sum(v0) / len(v0), 1), r0\nassert r0[\"min\"] ==
│ round(min(v0), 1)\nassert r0[\"max\"] == round(max(v0), 1)\n\nr4 =
│ out[4][1][\"cpu\"]\nassert r4[\"max\"] == 100.0, r4\n\nfor i in range(MP):\n mt =
│ out[i][1][\"mem_total\"]\n assert mt == {\"avg\": 1_000_000, \"min\": 1_000_000,
│ \"max\": 1_000_000}, mt\n assert isinstance(mt[\"avg\"], int) and
│ isinstance(mt[\"min\"], int)\n for k in (\"flag\", \"name\"):\n assert k not in
│ out[i][1], (i, k)\n\nfor i in range(0, 33):\n assert \"gpu\" not in out[i][1],
│ i\nassert \"gpu\" in out[33][1], out[33][1].keys()\nvg = vals(33, \"gpu\")\nrg =
│ out[33][1][\"gpu\"]\nassert rg[\"avg\"] == round(sum(vg) / len(vg), 1), (rg, vg)\n\nshort
│ = _window(snap[:50], MP)\nassert len(short) == 50\nfor i in range(50):\n for k in
│ (\"cpu\", \"mem_total\", \"flag\"):\n if k == \"flag\":\n continue\n
│ a = short[i][1][k]\n assert a == {\"avg\": snap[i][1][k], \"min\": snap[i][1][k],
│ \"max\": snap[i][1][k]}, (i, k, a)\n\nempty = _window([], MP)\nassert empty
│ … [265 more chars]
│ out Wrote file successfully.
│
│ tokens 233 in 1647 out 45439 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:15:47 • assistant • Qwen3.8-27B-Think
│
│ Wait a sec — regarding `short = _window(snap[:50], MP)`: when n=50 ≤ 200, w = max(1,
│ ceil(50/200)) = max(1, 1) = 1. ceil(50/200) = 1 (0.25 → ceil = 1). OK, w=1 → 50 rows.
│
│ However, note: in the short case, the gpu for samples 0..49 is None → the gpu key doesn't exist
│ in any row. No problem, I'm only checking cpu and mem_total.
│
│ Also, in the `vals` helper I'm excluding bool — flag=True is bool → excluded. OK.
│
│ Run it, and also run basedpyright in parallel.
│
│ bash uv run python /tmp/opencode/test_window.py ok 0.0s
│ in
│ {
│ "command": "uv run python /tmp/opencode/test_window.py",
│ "workdir": "/home/mac/Code/dashboard"
│ }
│ out
│ Traceback (most recent call last):
│ File "/tmp/opencode/test_window.py", line 3, in <module>
│ from app.routers.overview import _window
│ ModuleNotFoundError: No module named 'app'
│ bash uvx basedpyright app 2>&1 | tail -15 ok 0.0s
│ in
│ {
│ "command": "uvx basedpyright app 2>&1 | tail -15",
│ "workdir": "/home/mac/Code/dashboard",
│ "timeout": 180000
│ }
│ out
│ /home/mac/Code/dashboard/app/config.py:7:5 - warning: Type annotation for attribute
│ `model_config` is required because this class is not decorated with `@final`
│ (reportUnannotatedClassAttribute)
│ /home/mac/Code/dashboard/app/main.py
│ /home/mac/Code/dashboard/app/main.py:41:15 - warning: Function "index" is not accessed
│ (reportUnusedFunction)
│ /home/mac/Code/dashboard/app/plugins/llamacpp.py
│ /home/mac/Code/dashboard/app/plugins/llamacpp.py:18:12 - warning: Return type,
│ "dict[Unknown, Unknown]", is partially unknown (reportUnknownVariableType)
│ /home/mac/Code/dashboard/app/plugins/llamacpp.py:66:46 - warning: Type of parameter "m" is
│ unknown (reportUnknownLambdaType)
│ /home/mac/Code/dashboard/app/plugins/llamacpp.py:66:49 - warning: Return type of lambda is
│ unknown (reportUnknownLambdaType)
│ /home/mac/Code/dashboard/app/plugins/llamacpp.py:108:29 - warning: Function calls and
│ mutable objects not allowed within parameter default value expression
│ (reportCallInDefaultInitializer)
│ /home/mac/Code/dashboard/app/plugins/llamacpp.py:119:31 - warning: Function calls and
│ mutable objects not allowed within parameter default value expression
│ (reportCallInDefaultInitializer)
│ /home/mac/Code/dashboard/app/routers/services.py
│ /home/mac/Code/dashboard/app/routers/services.py:98:19 - warning: Function calls and
│ mutable objects not allowed within parameter default value expression
│ (reportCallInDefaultInitializer)
│ /home/mac/Code/dashboard/app/routers/services.py:99:14 - warning: Function calls and
│ mutable objects not allowed within parameter default value expression
│ (reportCallInDefaultInitializer)
│ /home/mac/Code/dashboard/app/routers/services.py:100:17 - warning: Function calls and
│ mutable objects not allowed within parameter default value expression
│ (reportCallInDefaultInitializer)
│ /home/mac/Code/dashboard/app/routers/services.py:101:18 - warning: Function calls and
│ mutable objects not allowed within parameter default value expression
│ (reportCallInDefaultInitializer)
│ 2
│ … [28 more chars]
│
│ tokens 20 in 300 out 47319 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:16:01 • assistant • Qwen3.8-27B-Think
│
│ There are 2 errors, but they're cut off by `tail -15`. I need to check the errors. Let me try
│ running basedpyright with full output filtered to "error". Also, I'll fix the test's import
│ issue (it's an issue with the script's working directory / Python path — even though I'm running
│ it with workdir=dashboard, `uv run python /tmp/opencode/test_window.py` is executed with
│ cwd=dashboard, but since the script is in /tmp/opencode, `sys.path[0]` is /tmp/opencode. The
│ repo root is not included in sys.path. I'll set PYTHONPATH=. ).
│
│ bash uv run python -c "import sys; sys.path.insert(0, '.'); exec(open('/tmp/openc… ok 0.2s
│ in
│ {
│ "command": "uv run python -c \"import sys; sys.path.insert(0, '.');
│ exec(open('/tmp/opencode/test_window.py').read())\"",
│ "workdir": "/home/mac/Code/dashboard"
│ }
│ out
│ window size: 9 windows: 200
│ window0 cpu: {'avg': 4.0, 'min': 0.0, 'max': 8.0}
│ spike window4 cpu: {'avg': 46.2, 'min': 36.0, 'max': 100.0}
│ gpu gap window32/33: None {'avg': 12.5, 'min': 10.0, 'max': 15.0}
│ SYNTHETIC_OK
│ bash uvx basedpyright app 2>&1 | grep -E "error" ok 0.0s
│ in
│ {
│ "command": "uvx basedpyright app 2>&1 | grep -E \"error\" ",
│ "workdir": "/home/mac/Code/dashboard",
│ "timeout": 180000
│ }
│ out
│ /home/mac/Code/dashboard/app/__init__.py: error: Cycle detected in import chain
│ /home/mac/Code/dashboard/app/__init__.py: error: Cycle detected in import chain
│ 2 errors, 12 warnings, 0 notes
│
│ tokens 560 in 288 out 47639 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:16:16 • assistant • Qwen3.8-27B-Think
│
│ Synthetic tests pass:
│ - 1800 samples → 200 windows (w=9)
│ - window0's cpu average/min/max are correct
│ - Spike is preserved: window4's max = 100.0
│ - gpu's None gap: windows 0-32 don't have gpu, window 33 is averaged over the non-None values
│ - Short paths, int preservation, exclusion of bool/str — all asserted OK.
│
│ basedpyright: 2 errors "Cycle detected in import chain" in app/__init__.py. Is this
│ pre-existing? Let me check app/__init__.py and check git status/stash to see if it's
│ pre-existing. Probably pre-existing (app/__init__.py is importing something circular — e.g.,
│ main.py creates the app, and the router imports it?). Let me check the file and verify whether
│ these errors existed before my changes (I can check with git stash, but more simply: my changes
│ don't touch app/__init__.py or main.py's imports. I only added `from app.config import
│ get_settings` to overview.py. config.py only imports pydantic_settings. Cycle: app/__init__.py →
│ ? Let's take a look.
│
│ Synthetic test passes — spike preserved (window max 100.0), gaps and int handling correct. Now
│ checking whether those 2 basedpyright errors are pre-existing:
│
│ read /home/mac/Code/dashboard/app/__init__.py ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/app/__init__.py"
│ }
│ out
│ <path>/home/mac/Code/dashboard/app/__init__.py</path>
│ <type>file</type>
│ <content>
│ 1: from app import routers # noqa: F401
│
│ (End of file - total 1 lines)
│ </content>
│ bash git -C /home/mac/Code/dashboard status --short; git -C /home/mac/Code/dashbo… ok 0.0s
│ in
│ {
│ "command": "git -C /home/mac/Code/dashboard status --short; git -C
│ /home/mac/Code/dashboard stash -q && uvx basedpyright app 2>&1 | grep -cE \" error\"; git
│ -C /home/mac/Code/dashboard stash pop -q",
│ "workdir": "/home/mac/Code/dashboard",
│ "timeout": 180000
│ }
│ out
│ M AGENTS.md
│ M app/config.py
│ M app/routers/overview.py
│ M static/js/app.js
│ 3
│
│ tokens 192 in 450 out 48486 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:16:35 • assistant • Qwen3.8-27B-Think
│
│ Stash test: even with my changes stashed, basedpyright still reports errors — `grep -cE "
│ error"` counts lines containing " error" → 3 lines: 2 cycle error lines + 1 summary line ("2
│ errors, 12 warnings"). So this cycle error is pre-existing (app/__init__.py imports app.routers,
│ and the routers import app.config etc. — a cycle visible from basedpyright's perspective,
│ pre-existing, and I haven't touched it in my changes). After stash pop, my changes are restored.
│
│ So: no new basedpyright errors from my changes (same 2 pre-existing errors, and no new warnings
│ in the files I edited — the warnings listed are in config.py:7, main.py:41, llamacpp.py,
│ services.py, all pre-existing. Wait, the warning at config.py:7 — is that pre-existing?
│ config.py:7 is `model_config = SettingsConfigDict(...)` — yes, pre-existing line, I just added a
│ field at line 13. Let me confirm there are no new warnings on the lines I edited: the warnings
│ enumerated are config.py:7 (pre-existing), main.py:41, llamacpp, services — none in overview.py
│ or on the lines I added. Good.
│
│ Let me double-check that stash pop worked and the files are back. git status shows 4 modified
│ files — but wait, that status output was from before the stash. Let me verify the files are
│ intact after the pop.
│
│ Next: restart the dev server and verify the live endpoint + screenshot.
│
│ Restart procedure per AGENTS.md:
│ ```sh
│ PID=$(pgrep -f "python main\.py" | head -1)
│ [ -n "$PID" ] && kill "$PID"
│ setsid nohup uv run python main.py > /tmp/dash.log 2>&1 < /dev/null & disown
│ ```
│
│ After that, curl the endpoint, verify the shape and length, then a chromium screenshot.
│
│ The 2 cycle errors are pre-existing (they exist in the stashed baseline too; the 3 matches are 2
│ error lines + the summary line). No new issues in the files I modified. I'll verify that the
│ stash pop restored my changes, then restart the server:
│
│ bash git -C /home/mac/Code/dashboard diff --stat ok 0.0s
│ in
│ {
│ "command": "git -C /home/mac/Code/dashboard diff --stat"
│ }
│ out
│ AGENTS.md | 7 ++++---
│ app/config.py | 1 +
│ app/routers/overview.py | 54 +++++++++++++++++++++++++++++++++++-------------
│ static/js/app.js | 55 ++++++++++++++++++++-----------------------------
│ 4 files changed, 67 insertions(+), 50 deletions(-)
│
│ tokens 103 in 521 out 49127 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:16:50 • assistant • Qwen3.8-27B-Think
│
│ The user repeated the same request. It seems the previous session got interrupted partway
│ through (I was in the middle of verification). Let me check the current state: my edits to
│ config.py, overview.py, app.js, and AGENTS.md have already been applied (confirmed via git diff
│ --stat). The synthetic tests passed. basedpyright only shows pre-existing errors.
│
│ Remaining work: restart the dev server, run curl to check the shape/length of /api/history, take
│ a screenshot, and check the traceback. Let me continue with the verification steps.
│
│ Wait a sec — but the user resent the same message. Maybe they couldn't see the progress, or the
│ session restarted. Best move: quickly check the current state (are the edits reflected? is the
│ server running?), then finish the verification and report back.
│
│ Let me check git status/diff to confirm the changes are still there, and check the server
│ process.
│
│ bash git -C /home/mac/Code/dashboard diff --stat; pgrep -af "python main\.py" || … ok 0.0s
│ in
│ {
│ "command": "git -C /home/mac/Code/dashboard diff --stat; pgrep -af \"python main\\.py\" ||
│ echo \"server not running\""
│ }
│ out
│ AGENTS.md | 7 ++++---
│ app/config.py | 1 +
│ app/routers/overview.py | 54 +++++++++++++++++++++++++++++++++++-------------
│ static/js/app.js | 55 ++++++++++++++++++++-----------------------------
│ 4 files changed, 67 insertions(+), 50 deletions(-)
│ 33078 uv run python main.py
│
│ tokens 85 in 247 out 49752 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:16:58 • assistant • Qwen3.8-27B-Think
│
│ Status check: all four edits from the previous session are present, and the old server (PID
│ 33078) is still running with the old code. Remaining work: restart the server, verify the live
│ endpoint, screenshot, check for tracebacks.
│
│ Proceeding according to the restart procedure in AGENTS.md.
│
│ The implementation is complete (edits to `config.py`, `overview.py`, `app.js`, and `AGENTS.md`).
│ I'm currently running the final verification against the live server:
│
│ bash PID=$(pgrep -f "python main\.py" | head -1); [ -n "$PID" ] && kill "$PID"; s… ok 0.0s
│ in
│ {
│ "command": "PID=$(pgrep -f \"python main\\.py\" | head -1); [ -n \"$PID\" ] && kill
│ \"$PID\"; sleep 1; setsid nohup uv run python main.py > /tmp/dash.log 2>&1 < /dev/null &
│ disown; sleep 4; pgrep -af \"python main\\.py\"",
│ "workdir": "/home/mac/Code/dashboard"
│ }
│ out 84742 uv run python main.py
│
│ tokens 97 in 225 out 50084 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:17:10 • assistant • Qwen3.8-27B-Think
│
│ The server has been restarted (new PID 84742). Since the new process starts with an empty ring
│ buffer, /api/history will return fewer than 200 points for the first ~7 minutes (the
│ no-windowing path). I'll do the following:
│
│ 1. Verify that all endpoints return 200.
│ 2. Verify the shape of /api/history right now (few points, but it should be in the {avg,min,max}
│ format).
│ 3. Wait until the buffer exceeds 200 samples? That would take about 7 minutes of real time.
│ Alternatively, I could verify the windowing behavior on the live server by checking the length
│ of ts, but... it'll only be 1–2 points at this point in time.
│
│ Better approach: verify the shape right now, and either verify the cap on the live server later,
│ or trust the synthetic tests (which precisely cover the 1800→200 path). In fact, the synthetic
│ tests have already validated _window with 1800 samples. For the live endpoint, I can verify the
│ following:
│ - Right now: shape correctness + alignment (each key has avg/min/max arrays of length ==
│ len(ts)).
│ - After about 7 minutes: len(ts) == 200.
│
│ Hmm, 7 minutes is a long time to wait. Options: temporarily set DASH_CHART_MAX_POINTS to a small
│ value (e.g., 20) on a second instance? The port is in use... I can run a test with a FastAPI
│ TestClient in a script: create the app, record 1800 samples into app.state.store, and then call
│ /api/history via the TestClient. This would test the full endpoint (not just _window) end-to-end
│ without touching the running server.
│
│ This is a great idea — the AGENTS.md session log mentioned TestClient lifespan behavior (line
│ 2962: "empty because TestClient's lifespan..." — interesting, lifespan runs when using
│ TestClient with a context manager). With `with TestClient(app) as c:`, the lifespan runs and the
│ sampler task starts (recording every 2 seconds — harmless). After that, I can manually record
│ samples into the store.
│
│ Let me write that test:
│
│ ```python
│ import sys
│ sys.path.insert(0, "/home/mac/Code/dashboard")
│ from fastapi.testclient impo
│ … [7124 more chars]
│
│ I've confirmed the changes are in place and the server is running. Now I'll run an end-to-end
│ test of `/api/history` using TestClient with a pre-seeded store, then visually verify the charts
│ with a headless Chromium instance.
│
│ write /tmp/opencode/test_endpoint.py ok 0.0s
│ in
│ {
│ "content": "import sys\n\nsys.path.insert(0, \"/home/mac/Code/dashboard\")\n\nfrom
│ fastapi.testclient import TestClient\nfrom app.main import app\n\nwith TestClient(app) as
│ c:\n store = app.state.store\n for i in range(1800):\n s = {\n
│ \"cpu\": 100.0 if i == 44 else float(i % 50),\n \"mem_total\": 1_000_000,\n
│ \"gpu\": None if i < 300 else float(10 + i % 20),\n \"flag\": True,\n
│ \"name\": \"x\",\n }\n store.record(s)\n r = c.get(\"/api/history\")\n
│ assert r.status_code == 200, r.status_code\n d = r.json()\n ts = d[\"ts\"]\n
│ assert len(ts) == 200, len(ts)\n for k, v in d[\"series\"].items():\n assert
│ set(v) == {\"avg\", \"min\", \"max\"}, (k, v.keys())\n for m in (\"avg\", \"min\",
│ \"max\"):\n assert len(v[m]) == len(ts), (k, m, len(v[m]))\n assert \"flag\"
│ not in d[\"series\"]\n assert \"name\" not in d[\"series\"]\n assert 100.0 in
│ d[\"series\"][\"cpu\"][\"max\"]\n assert d[\"series\"][\"mem_total\"][\"avg\"] ==
│ [1_000_000] * 200\n assert all(isinstance(x, int) for x in
│ d[\"series\"][\"mem_total\"][\"max\"])\n gpu_max = d[\"series\"][\"gpu\"][\"max\"]\n
│ first_present = gpu_max.index(next(v for v in gpu_max if v is not None))\n assert
│ first_present == 33, first_present\n for i in range(33):\n assert gpu_max[i] is
│ None and d[\"series\"][\"gpu\"][\"avg\"][i] is None\n print(\"ENDPOINT_OK points:\",
│ len(ts), \"keys:\", len(d[\"series\"]))\n",
│ "filePath": "/tmp/opencode/test_endpoint.py"
│ }
│ out Wrote file successfully.
│
│ tokens 24 in 3060 out 50407 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:18:39 • assistant • Qwen3.8-27B-Think
│
│ Let's try running an end-to-end test on the endpoint. Note that the TestClient starts the
│ lifespan and runs the sampler loop, which could interfere, but since we're directly injecting
│ 1800 samples into the store, it should be fine. Let's give it a shot.
│
│ bash uv run python /tmp/opencode/test_endpoint.py 2>&1 | tail -20 ok 0.0s
│ in
│ {
│ "command": "uv run python /tmp/opencode/test_endpoint.py 2>&1 | tail -20",
│ "workdir": "/home/mac/Code/dashboard",
│ "timeout": 60000
│ }
│ out
│ /home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/fastapi/testclient.py:1:
│ StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated;
│ install `httpx2` instead.
│ from starlette.testclient import TestClient as TestClient # noqa
│ ENDPOINT_OK points: 200 keys: 3
│
│ tokens 21 in 139 out 53490 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:18:44 • assistant • Qwen3.8-27B-Think
│
│ Endpoint test passed: 1800 recorded samples → exactly 200 points, {avg,min,max} structure,
│ aligned arrays, bool/str keys excluded, spikes preserved (100.0 in max), int preserved, gpu's
│ None gap up through window 32 (first present at index 33 — matches synthetic test).
│
│ Next, visual check. Write a throwaway screenshot server that pre-seeds the store with
│ plausible-looking data, run it on port 8599, and take a screenshot with headless Chromium.
│
│ The endpoint is working correctly with 1800 samples compressed to 200 points while preserving
│ all data. Now I'll create a screenshot server to test the full UI.
│
│ write /tmp/opencode/shot_server.py ok 0.0s
│ in
│ {
│ "content": "import asyncio\nimport math\nimport random\nimport sys\nimport
│ time\n\nsys.path.insert(0, \"/home/mac/Code/dashboard\")\n\nimport uvicorn\nfrom app.main
│ import app\n\nrandom.seed(7)\n\n\ndef seed() -> None:\n store = app.state.store\n
│ now = time.time()\n base = now - 1800 * 2\n for i in range(1800):\n t = base
│ + i * 2\n s = {\n \"cpu\": max(0.0, 25 + 18 * math.sin(i / 90) +
│ random.uniform(-6, 6) + (85 if i % 250 == 120 else 0)),\n \"gpu\": max(0.0, 15
│ + 10 * math.sin(i / 60) + random.uniform(-5, 5)) if i % 9 else None,\n
│ \"mem_pct\": 42 + 12 * math.sin(i / 400) + random.uniform(-2, 2),\n
│ \"vram_pct\": 30 + 15 * math.sin(i / 150) + random.uniform(-3, 3) if i % 6 else None,\n
│ \"mem_total\": 16 * 1024**3,\n \"mem_used\": int(0.55 * 16 * 1024**3),\n
│ \"load1\": 2.1,\n \"load5\": 2.4,\n \"load15\": 2.2,\n
│ \"swap_used\": 1024**3,\n \"swap_total\": 8 * 1024**3,\n
│ \"io_read\": random.uniform(0, 180e6) if i % 4 else random.uniform(0, 10e6),\n
│ \"io_write\": random.uniform(5e6, 90e6),\n \"cpu_temp\": 55.0 + 8 * math.sin(i
│ / 200),\n \"gpu_temp\": 48.0 + 6 * math.sin(i / 170),\n \"battery\":
│ 87,\n }\n store.record_at(t, s)\n\n\nconfig = uvicorn.Config(app,
│ host=\"127.0.0.1\", port=8599, log_level=\"warning\")\nserver =
│ uvicorn.Server(config)\n\n\nasync def main() -> None:\n async def seeder() -> None:\n
│ await asyncio.sleep(1.5)\n seed()\n task = asyncio.create_task(seeder())\n
│ await server.serve()\n task.cancel()\n\n\nif __name__ == \"__main__\":\n
│ asyncio.run(main())\n",
│ "filePath": "/tmp/opencode/shot_server.py"
│ }
│ out Wrote file successfully.
│
│ tokens 100 in 818 out 53649 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:19:07 • assistant • Qwen3.8-27B-Think
│
│ Referenced `store.record_at(t, s)`, but HistoryStore doesn't have that method — it only has
│ `record(sample)`, which uses time.time(). Need to either add a method or append directly to
│ `store._buf`. Options:
│
│ 1. Directly append to `store._buf.append((t, s))` — accessing a private attribute from a
│ throwaway script is fine.
│ 2. Add a `record_at` method to HistoryStore — modifying production code just for a test is…
│ actually it could be legitimately useful, but it expands the scope.
│
│ For a throwaway script, the simplest thing is to use `store._buf.append`. Let's fix that.
│
│ edit /tmp/opencode/shot_server.py ok 0.0s
│ in
│ {
│ "filePath": "/tmp/opencode/shot_server.py",
│ "oldString": " store.record_at(t, s)",
│ "newString": " store._buf.append((t, s))"
│ }
│ out Edit applied successfully.
│
│ tokens 19 in 217 out 54568 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:19:13 • assistant • Qwen3.8-27B-Think
│
│ Wait, the sampler loop keeps recording real samples every 2 seconds, so real samples (a small
│ number over about 10 seconds) will get mixed in. That's fine.
│
│ But one concern: `store._buf` is a deque with maxlen 1800. If I append 1800 synthetic samples,
│ the buffer gets filled up to maxlen, and then the real samples from the sampler push out the
│ oldest synthetic samples. No problem.
│
│ Also, uvicorn serves on port 8599. `server.serve()` runs until interrupted (SIGINT/SIGTERM) — so
│ I need to kill it after taking the screenshot.
│
│ Note: uvicorn's `serve()` handles lifespan startup itself. The seeder task runs after 1.5
│ seconds — by that point lifespan is up and `app.state.store` exists. But wait — in the case of
│ `uvicorn.Server.serve()`, the lifespan runs during startup, right. `app.state.store` gets set in
│ lifespan. OK.
│
│ One pitfall: `app` here is the module-level `app = create_app()` from app.main. create_app() is
│ a new FastAPI instance per import... the module-level app has already been created at import
│ time. No problem.
│
│ Alright: launch it in the background, wait for the port, run the chromium screenshot, and kill
│ the server.
│
│ bash setsid nohup uv run python /tmp/opencode/shot_server.py > /tmp/opencode/shot… ok 0.0s
│ in
│ {
│ "command": "setsid nohup uv run python /tmp/opencode/shot_server.py >
│ /tmp/opencode/shot_server.log 2>&1 < /dev/null & disown; for i in $(seq 1 30); do curl -s
│ -o /dev/null http://127.0.0.1:8599/api/history && break; sleep 0.5; done; curl -s
│ http://127.0.0.1:8599/api/history | uv run python -c \"import json,sys;
│ d=json.load(sys.stdin); print('points:', len(d['ts']))\"",
│ "workdir": "/home/mac/Code/dashboard",
│ "timeout": 60000
│ }
│ out points: 0
│
│ tokens 19 in 481 out 54804 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:19:29 • assistant • Qwen3.8-27B-Think
│
│ Point: 0 — either the seeder hadn't run yet at the time of the curl (curl raced with the
│ 1.5-second seeder), or the seeder failed. Let's check the logs and curl again.
│
│ bash sleep 3; cat /tmp/opencode/shot_server.log; curl -s http://127.0.0.1:8599/ap… ok 0.0s
│ in
│ {
│ "command": "sleep 3; cat /tmp/opencode/shot_server.log; curl -s
│ http://127.0.0.1:8599/api/history | uv run python -c \"import json,sys;
│ d=json.load(sys.stdin); print('points:', len(d['ts']), 'keys:',
│ sorted(d['series'])[:6])\"",
│ "workdir": "/home/mac/Code/dashboard",
│ "timeout": 30000
│ }
│ out points: 200 keys: ['battery', 'cpu', 'cpu_temp', 'gpu', 'gpu_temp', 'io_read']
│
│ tokens 20 in 182 out 55303 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:19:37 • assistant • Qwen3.8-27B-Think
│
│ Seeding complete: 200 points. Next, take a screenshot with headless Chromium. The page's default
│ tab is Overview (probably), and the chart is drawn from /api/history.
│
│ Command:
│ ```
│ chromium --headless=new --disable-gpu --no-sandbox --hide-scrollbars --window-size=1440,1000
│ --virtual-time-budget=12000 --screenshot=/tmp/opencode/dash-bands.png http://127.0.0.1:8599/
│ ```
│
│ virtual-time-budget fast-forwards the virtual clock. The fetch + setInterval(2000) polling will
│ complete within the budget. After that, check the PNG with the Read tool.
│
│ Seeded with 200 points. Taking the headless screenshot:
│
│ bash chromium --headless=new --disable-gpu --no-sandbox --hide-scrollbars --windo… ok 0.0s
│ in
│ {
│ "command": "chromium --headless=new --disable-gpu --no-sandbox --hide-scrollbars
│ --window-size=1440,1000 --virtual-time-budget=12000
│ --screenshot=/tmp/opencode/dash-bands.png http://127.0.0.1:8599/ 2>&1 | tail -3; ls -la
│ /tmp/opencode/dash-bands.png",
│ "timeout": 90000
│ }
│ out
│ [85611:85632:0830/181949.752594:ERROR:google_apis/gcm/engine/mcs_client.cc:702] Error
│ code: 401 Error message: Authentication Failed: wrong_secret
│ [85611:85632:0830/181949.752642:ERROR:google_apis/gcm/engine/mcs_client.cc:704] Failed to
│ log in to GCM, resetting connection.
│ 54891 bytes written to file /tmp/opencode/dash-bands.png
│ -rw-r--r-- 1 mac mac 54891 30. Aug 18:19 /tmp/opencode/dash-bands.png
│
│ tokens 43 in 308 out 55506 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:19:52 • assistant • Qwen3.8-27B-Think
│
│ The screenshot has been written (the GCM error is harmless noise from Chromium). Let me display
│ it and check the band rendering.
│
│ read /tmp/opencode/dash-bands.png ok 0.1s
│ in
│ {
│ "filePath": "/tmp/opencode/dash-bands.png"
│ }
│ out Image read successfully
│
│ tokens 197 in 61 out 55858 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:19:55 • assistant • Qwen3.8-27B-Think
│
│ Since the model can't read images, I can't verify the screenshots visually myself. I need to
│ either confirm the chart rendering by another method or let the user know that I can't do visual
│ verification.
│
│ Alternative verification methods: Use Chromium headless's `--dump-dom`, or execute JS to check
│ the state of the chart (e.g., the length of the dataset, whether fill is configured, whether
│ there are console errors). I can use chromium's `--headless --repl`, or better: inject a small
│ script. Options:
│
│ 1. `chromium --headless=new --dump-dom` — only shows the DOM, and doesn't show the canvas state.
│ 2. Use `--enable-logging --v=1` to capture console messages? JS errors will show up in the
│ console.
│ 3. Write a small puppeteer-style script… puppeteer isn't installed. Playwright isn't installed
│ either (the earlier `import playwright` failed).
│ 4. Use chromium's `--headless=new` together with `--virtual-time-budget` and
│ `--run-all-compositor-stages-before-draw`, and evaluate JS via `--dump-dom` — that won't work.
│
│ Alternative: Verify with a Node-based DOM? No, there's no guarantee node is available.
│
│ Another approach: I can check for JS console errors by running chromium with
│ `--enable-logging=stderr --v=0` — console errors will be logged to stderr as "CONSOLE(n)". This
│ will at least tell me whether app.js threw an exception during chart initialization or updating.
│
│ Also, a screenshot exists (54KB — larger than a blank page), and in the earlier session log,
│ screenshots of the tabs were being taken via some method… but I can't view them.
│
│ Actually, wait — maybe I could convert the PNG and analyze it programmatically: for example, use
│ Python to check the pixel color distribution inside the chart area (the cyan/purple/green bands
│ of the envelope should be present). The page's background is dark; the chart area is in the
│ upper portion of the overview tab. I could sample the pixel colors from the PNG (PIL might not
│ be installed… let me check). Even without PIL, I can decode the PN
│ … [624 more chars]
│
│ I can't view the PNG directly, so I'll verify the render another way — capture the browser
│ console for JS errors and inspect the chart pixels programmatically:
│
│ bash chromium --headless=new --disable-gpu --no-sandbox --enable-logging=stderr -… ok 0.0s
│ in
│ {
│ "command": "chromium --headless=new --disable-gpu --no-sandbox --enable-logging=stderr
│ --v=0 --virtual-time-budget=12000 --dump-dom http://127.0.0.1:8599/ >
│ /tmp/opencode/dom.html 2> /tmp/opencode/console.log; grep -E \"CONSOLE|Uncaught|Error\"
│ /tmp/opencode/console.log | grep -v
│ \"GCM\\|gcm\\|bluez\\|blue\\|dbus\\|DBus\\|ozone\\|viz\\|gpu_\" | head -20; echo ---; grep
│ -c \"chart-cpu\\|chart-mem\\|chart-io\" /tmp/opencode/dom.html",
│ "timeout": 90000
│ }
│ out
│ ---
│ 3
│ bash uv run python -c "import PIL; print('PIL ok')" 2>&1 | tail -1; python3 -c "i… ok 0.0s
│ in
│ {
│ "command": "uv run python -c \"import PIL; print('PIL ok')\" 2>&1 | tail -1; python3 -c
│ \"import PIL; print('sys PIL ok')\" 2>&1 | tail -1",
│ "workdir": "/home/mac/Code/dashboard"
│ }
│ out
│ ModuleNotFoundError: No module named 'PIL'
│ sys PIL ok
│
│ tokens 47 in 942 out 56117 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:20:28 • assistant • Qwen3.8-27B-Think
│
│ 1. The console log shows no JS errors (after filtering out Chromium internal noise, nothing
│ matching CONSOLE/Uncaught/Error was found) — app.js was executed, and no exceptions were thrown.
│ 2. The DOM contains all three canvases.
│ 3. System python3 has PIL. I'll use the system's python3 to analyze the pixel colors of the
│ screenshot.
│
│ The page layout: window is 1440x1000. The overview tab contains the chart grid. From the
│ screenshot... I can't see it, but according to the template the chart is near the top (below the
│ tab bar and cards?). Let me analyze the image: count pixels matching the band colors:
│ - CPU cyan #4fc3f7 (79,195,247)
│ - GPU purple #ba68c8 (186,104,200)
│ - Memory green #81c784 (129,199,132)
│ - VRAM orange #ffb74d (255,183,77)
│ - read red #e57373 (229,115,115)
│ - write yellow #fff176 (255,241,118)
│
│ Fill color: 0x2e alpha (18%) of these colors composited over the dark background (~#1a2029?) —
│ the result will be a muted version. I'll scan the entire image and count pixels within a
│ tolerance of each pure color (the line's border should be present in pure color), and also count
│ the "fill" family (colors that are a mix of the pure color and the background).
│
│ More simply: for each of the 6 pure colors, count pixels within a Euclidean distance of 40. If
│ all 6 are present (each above some threshold), that means the lines were drawn in all 3 charts.
│ The fill area should also be detected: sample the pixels... let's keep it simple: count of
│ pure-color pixels (line borders, width 1–1.5px → there should be plenty), plus check for
│ fill-family pixels (distance to pure color in the range 40–120, and clearly different from the
│ background) — that's too vague.
│
│ Alternative approach for fill verification: pick a known position. Hmm, I can't see the image.
│
│ Actually — there's a better approach: verify the fill in the browser using JS! In headless
│ chromium, I can evaluate JS via a data: page that fetches the API and... no, I can't.
│
│ Alternative: `--headless --repl`? Old headless ha
│ … [732 more chars]
│
│ No JS console errors and all canvases are present. Now pixel-level verification of the bands:
│
│ bash grep -iE "body|background" /home/mac/Code/dashboard/static/css/style.css | h… ok 0.0s
│ in
│ {
│ "command": "grep -iE \"body|background\" /home/mac/Code/dashboard/static/css/style.css |
│ head -8; grep -E \"chart-card|charts-grid\" /home/mac/Code/dashboard/static/css/style.css
│ | head -8"
│ }
│ out
│ html, body {
│ background: var(--bg);
│ background: var(--bg-panel);
│ background: transparent;
│ .tab-btn:hover { color: var(--text); background: var(--bg-card); }
│ background: var(--bg-card);
│ background: var(--bg-panel);
│ background: var(--bg-card);
│ .charts-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(320px, 1fr));
│ gap: 10px; }
│ .chart-card {
│ .chart-card h3 { flex: 0 0 auto; }
│ .chart-card canvas { flex: 1 1 auto; min-height: 0; }
│
│ tokens 36 in 858 out 57107 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:20:56 • assistant • Qwen3.8-27B-Think
│
│ The console logs have no JS errors (after filtering out Chrome internal noise, nothing matching
│ CONSOLE/Uncaught/Error was found). The DOM contains all three canvases.
│
│ Wait — grep found 3 matches for the chart-cpu|chart-mem|chart-io pattern within the DOM — these
│ are probably inside app.js which is inlined in the DOM (or within the canvas elements).
│ Actually, dump-dom returns the complete DOM. The canvases should appear as <canvas
│ id="chart-cpu"> and so on. The 3 matches = 3 canvas elements (or the script's src). Either way,
│ no problem.
│
│ Next up is pixel analysis using the system python3 + PIL. First, I need to check the value of
│ --bg in style.css. Let me look for the CSS variable.
│
│ bash grep -E "^\s*--(bg|text)" /home/mac/Code/dashboard/static/css/style.css | he… ok 0.0s
│ in
│ {
│ "command": "grep -E \"^\\s*--(bg|text)\" /home/mac/Code/dashboard/static/css/style.css |
│ head -10"
│ }
│ out
│ --bg: #0e1116;
│ --bg-panel: #161b23;
│ --bg-card: #1c2330;
│ --text: #dbe2ea;
│
│ tokens 164 in 221 out 58001 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:21:04 • assistant • Qwen3.8-27B-Think
│
│ The CSS variables are probably defined inside :root. Let me check the :root block. Actually, the
│ grep results showed `--bg: #0e1116;` and `--bg-panel: #161b23;`, `--bg-card: #1c2330;`, `--text:
│ #dbe2ea;`. The chart canvas is inside a `.chart-card` which has `background: var(--bg-card)` =
│ #1c2330.
│
│ So, the chart drawing area is on top of the background #1c2330 = (28, 35, 48).
│
│ The fill color with alpha 0x2e (46/255 ≈ 0.1804) on top of #1c2330:
│ fill = 0.1804*color + 0.8196*bg.
│
│ CPU #4fc3f7 = (79, 195, 247):
│ r: 0.1804*79 + 0.8196*28 = 14.25 + 22.95 = 37.2
│ g: 0.1804*195 + 0.8196*35 = 35.2 + 28.69 = 63.9
│ b: 0.1804*247 + 0.8196*48 = 44.56 + 39.34 = 83.9
│ → approximately (37, 64, 84)
│
│ GPU #ba68c8 = (186, 104, 200):
│ r: 0.1804*186 + 22.95 = 33.55+22.95 = 56.5
│ g: 0.1804*104 + 28.69 = 18.76+28.69 = 47.5
│ b: 0.1804*200 + 39.34 = 36.08+39.34 = 75.4
│ → (57, 47, 75)
│
│ Memory #81c784 = (129, 199, 132):
│ r: 0.1804*129+22.95 = 23.27+22.95 = 46.2
│ g: 0.1804*199+28.69 = 35.9+28.69 = 64.6
│ b: 0.1804*132+39.34 = 23.8+39.34 = 63.2
│ → (46, 65, 63)
│
│ VRAM #ffb74d = (255, 183, 77):
│ r: 0.1804*255+22.95 = 46+22.95 = 69
│ g: 0.1804*183+28.69 = 33+28.69 = 61.7
│ b: 0.1804*77+39.34 = 13.9+39.34 = 53.2
│ → (69, 62, 53)
│
│ read #e57373 = (229, 115, 115):
│ r: 41.3+22.95 = 64.3
│ g: 20.7+28.69 = 49.4
│ b: 20.7+39.34 = 60
│ → (64, 49, 60)
│
│ write #fff176 = (255, 241, 118):
│ r: 46+22.95 = 69
│ g: 43.5+28.69 = 72.2
│ b: 21.3+39.34 = 60.6
│ → (69, 72, 61)
│
│ Canvas background: the Chart.js canvas itself is transparent. The card's background #1c2330
│ shows through. Also, the grid lines rgba(42,51,66,.5) on top of #1c2330 → slightly brighter.
│
│ Plan: scan the PNG with PIL. For each of the 6 target colors (fill family) and 6 line colors
│ (pure color), count the pixels within a tolerance (e.g., Euclidean distance ≤ 18 for fill, ≤ 25
│ for line). The fill should number in the thousands of pixels per chart (the band area is large),
│ while line pixels will number in the hundreds.
│
│ Let me write the script.
│
│ Now I'll analyze the screenshot pixels to verify that all 6 chart lines and their fill bands
│ have been rendered:
│
│ write /tmp/opencode/check_pixels.py ok 0.0s
│ in
│ {
│ "content": "import math\n\nfrom PIL import Image\n\nimg =
│ Image.open(\"/tmp/opencode/dash-bands.png\").convert(\"RGB\")\nw, h = img.size\npx =
│ img.load()\nbg = (28, 35, 48)\na = 0x2E / 255\n\ndef fill(c):\n return tuple(a * v + (1
│ - a) * b for v, b in zip(c, bg))\n\nTARGETS = {\n \"cpu line\": (0x4F, 0xC3, 0xF7),\n
│ \"gpu line\": (0xBA, 0x68, 0xC8),\n \"mem line\": (0x81, 0xC7, 0x84),\n \"vram
│ line\": (0xFF, 0xB7, 0x4D),\n \"read line\": (0xE5, 0x73, 0x73),\n \"write line\":
│ (0xFF, 0xF1, 0x76),\n \"cpu fill\": fill((0x4F, 0xC3, 0xF7)),\n \"gpu fill\":
│ fill((0xBA, 0x68, 0xC8)),\n \"mem fill\": fill((0x81, 0xC7, 0x84)),\n \"vram fill\":
│ fill((0xFF, 0xB7, 0x4D)),\n \"read fill\": fill((0xE5, 0x73, 0x73)),\n \"write
│ fill\": fill((0xFF, 0xF1, 0x76)),\n}\nLINE_TOL = 30\nFILL_TOL = 14\n\ncounts = {k: 0 for k
│ in TARGETS}\nfor y in range(h):\n for x in range(w):\n p = px[x, y]\n for
│ name, t in TARGETS.items():\n d = math.sqrt((p[0] - t[0]) ** 2 + (p[1] - t[1])
│ ** 2 + (p[2] - t[2]) ** 2)\n tol = LINE_TOL if name.endswith(\"line\") else
│ FILL_TOL\n if d <= tol:\n counts[name] += 1\n\nprint(\"size:\",
│ w, h)\nfor k, v in counts.items():\n print(f\"{k:11s} {v:7d}\")\nok = all(counts[k] >
│ 300 for k in TARGETS if k.endswith(\"fill\")) and all(counts[k] > 50 for k in TARGETS if
│ k.endswith(\"line\"))\nprint(\"BANDS_OK\" if ok else \"BANDS_MISSING\")\n",
│ "filePath": "/tmp/opencode/check_pixels.py"
│ }
│ out Wrote file successfully.
│
│ tokens 65 in 1852 out 58385 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:21:52 • assistant • Qwen3.8-27B-Think
│
│ The user has sent the same message for the third time. I'm in the middle of verification. I've
│ just finished writing /tmp/opencode/check_pixels.py. Let me run it now to complete the
│ verification, and after that I'll report the final result.
│
│ Remaining steps:
│ 1. Run the pixel check.
│ 2. Terminate the shot server (port 8599).
│ 3. Check the live server: all endpoints 200, the shape of /api/history, grep the tracebacks.
│ 4. Report.
│
│ Alright, let me run the pixel check now.
│
│ bash python3 /tmp/opencode/check_pixels.py ok 0.0s
│ in
│ {
│ "command": "python3 /tmp/opencode/check_pixels.py",
│ "timeout": 120000
│ }
│ out
│ size: 1440 1000
│ cpu line 2086
│ gpu line 68
│ mem line 0
│ vram line 0
│ read line 0
│ write line 0
│ cpu fill 0
│ gpu fill 352
│ mem fill 992
│ vram fill 0
│ read fill 0
│ write fill 0
│ BANDS_MISSING
│
│ tokens 20 in 178 out 60302 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:22:22 • assistant • Qwen3.8-27B-Think
│
│ Interesting result. CPU line: 2086 pixels (drawn), GPU line: 68, mem/vram/read/write lines: 0.
│ Fills: gpu 352, mem 992, the rest 0.
│
│ Hmm. So the cpu chart has a visible line, and gpu+mem have some fill pixels. But no fill for
│ cpu?? And no lines for mem/vram/read/write?
│
│ Wait — this smells like the chart is only partially drawn, or… let me think. The cpu chart has a
│ 2086-pixel line — that's the avg line (CPU only? or CPU+GPU?). The gpu line has 68 pixels —
│ sparse (the gpu series is None when i%9 → the line has gaps, that's fine, but 68 px is few for a
│ ~700px wide line with 11% gaps… should be around 600+).
│
│ Hmm, wait, maybe the chart is drawn, but only some of the lines are visible. Because… let me
│ think about what could go wrong in my code.
│
│ Ah! I think I know what happened. The `build` function in `updateCharts` replaces
│ `chart.data.datasets` with new dataset objects on every poll. But `initCharts` had already
│ created datasets via `envelopeDs(name, color)` (s=undefined → `s = s || {}` → data arrays =
│ `[]`). Then the first poll rebuilds with real data. That should be fine…
│
│ But: the poll fires at t=0 (virtual time) and every 2000ms thereafter. With
│ virtual-time-budget=12000, there should be about 6 polls. The chart gets updated each time. The
│ final state should have all datasets with data.
│
│ So why are the lines missing? Let me reconsider the tolerance: the mem line color #81c784 =
│ (129,199,132) with tol 30. The mem line is drawn with borderWidth 1.5… pixels should be close to
│ pure color (maybe antialiasing blends slightly with the background → distance up to about 50?).
│ The cpu line with the same setup got 2086 hits. So the tolerance is fine for the lines.
│
│ So really: the mem/vram/read/write lines are not drawn, and the cpu fill isn't drawn, and the
│ gpu line is sparse.
│
│ Wait… cpu fill = 0 but cpu line = 2086? If the CPU band is drawn, the fill between the min and
│ max should be a large area (the band width for CPU data 25±18+noise → min/max spread probably
│ 10–30% → b
│ … [11091 more chars]
│
│ I need to investigate this further. Let me check the details. The pixel scan is suspicious —
│ some lines are drawn, but others are missing. I need to inspect the live state of the charts.
│ Let me check what tools are available for CDP:
│
│ bash which node npm; python3 -c "import websocket" 2>&1 | tail -1; uv run python … ok 0.0s
│ in
│ {
│ "command": "which node npm; python3 -c \"import websocket\" 2>&1 | tail -1; uv run python
│ -c \"import websocket\" 2>&1 | tail -1"
│ }
│ out
│ /usr/bin/node
│ /usr/bin/npm
│ ModuleNotFoundError: No module named 'websocket'
│ bash grep -iE "console|error|warn" /tmp/opencode/console.log | grep -vE "GCM|gcm|… ok 0.0s
│ in
│ {
│ "command": "grep -iE \"console|error|warn\" /tmp/opencode/console.log | grep -vE
│ \"GCM|gcm|bluez|dbus|DBus|ozone|viz|gpu_|sandbox|dbus\" | head -20"
│ }
│ out
│ [86047:86047:0830/182022.657547:WARNING:chrome/browser/signin/account_consistency_mode_manag
│ er.cc:74] Desktop Identity Consistency cannot be enabled as no OAuth client ID and client
│ secret have been configured.
│ [86047:86130:0830/182022.725622:WARNING:chrome/browser/apps/user_type_filter.cc:59] No user
│ type filter specified for cimiefiiaegbelhefglklhhakcgmhkai. Using default user type filter,
│ please update the app.
│ [86082:86109:0830/182027.928448:WARNING:net/extras/sqlite/sqlite_persistent_store_backend_ba
│ se.cc:181] Failed to post task from
│ FlushAndNotifyInBackground@net/extras/sqlite/sqlite_persistent_store_backend_base.cc:231 to
│ client_task_runner_.
│ [86082:86109:0830/182027.928543:WARNING:net/extras/sqlite/sqlite_persistent_store_backend_ba
│ se.cc:181] Failed to post task from
│ FlushAndNotifyInBackground@net/extras/sqlite/sqlite_persistent_store_backend_base.cc:231 to
│ client_task_runner_.
│
│ tokens 113 in 3911 out 60501 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:24:36 • assistant • Qwen3.8-27B-Think
│
│ No JS console errors. Node is available — I can use puppeteer-core via npm to drive the
│ installed Chromium via CDP and dump the chart's state. `npm install puppeteer-core` in a temp
│ directory (doesn't touch the project).
│
│ Actually — wait. Before the heavy lifting, let me reconsider the pixel results. Another
│ hypothesis just occurred to me:
│
│ What if the screenshot was taken while the page was still on a different tab? No — the default
│ tab is Overview.
│
│ What if the chart exists but the screenshot only captured some of it? No, it's a single
│ full-page canvas area.
│
│ Hmm, another thought: **tension 0.25 on avg, and min/max with tension 0** — no problem.
│
│ **A fill target pointing to a dataset in a different "group"?** No.
│
│ Actually, let me reconsider the Chart.js `fill` semantics: `fill: 2` means "fill to dataset
│ index 2". The fill is drawn from this dataset's line to the target dataset's line. For the max
│ dataset (index 1, CPU max) with fill=2 (CPU min): it fills between the CPU max line and the CPU
│ min line. Correct.
│
│ But — the crucial point: **the fill is only drawn where both datasets have points**. CPU has no
│ None → a full fill. CPU's fill is 0 px. So the CPU fill is really not being drawn. And the CPU
│ line is being drawn.
│
│ The MEM fill is being drawn but the MEM line is not?? That's the reverse. Something is off with
│ my reading...
│
│ Wait. Hmm, let me double-check: did I mislabel them? "mem line" target (129,199,132) tolerance
│ 30 — 0 pixels. "vram line" (255,183,77) — 0. "read line" (229,115,115) — 0. "write line"
│ (255,241,118) — 0. But the cpu line is 2086, gpu line is 68.
│
│ And the fills: cpu 0, gpu 352, mem 992, vram 0, read 0, write 0.
│
│ Interesting: the gpu line is 68 but the gpu fill is 352? The GPU series has gaps (None every 9
│ samples) — the line has gaps too, but the fill is... 352 px is also small for a 440px-wide chart
│ (if the band height averages 30px with 89% coverage → 12k px). 352 is small. And the mem fill is
│ 992 — mem has no None (mem_pct is always prese
│ … [1937 more chars]
│
│ Node is available — I'll drive the installed Chromium via CDP with puppeteer-core to dump the
│ actual chart state:
│
│ bash mkdir -p /tmp/opencode/cdp && cd /tmp/opencode/cdp && npm init -y >/dev/null… ok 0.0s
│ in
│ {
│ "command": "mkdir -p /tmp/opencode/cdp && cd /tmp/opencode/cdp && npm init -y >/dev/null
│ 2>&1 && npm install puppeteer-core --no-audit --no-fund 2>&1 | tail -2",
│ "timeout": 120000
│ }
│ out
│
│ added 25 packages in 3s
│
│ tokens 353 in 1321 out 64526 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:25:23 • assistant • Qwen3.8-27B-Think
│
│ Puppeteer-core is already installed. Next, write a probe script that does the following:
│ 1. Launch /usr/bin/chromium in headless mode with --no-sandbox.
│ 2. Capture console messages.
│ 3. Open http://127.0.0.1:8599/, wait about 4 seconds.
│ 4. Evaluate the following JS:
│ ```js
│ () => {
│ const out = [];
│ for (const [id, chart] of Object.entries(Chart.instances)) {
│ out.push({
│ id,
│ w: chart.width, h: chart.height,
│ area: chart.chartArea,
│ datasets: chart.data.datasets.map(d => ({
│ label: d.label,
│ n: d.data.length,
│ nonNull: d.data.filter(v => v !== null && v !== undefined).length,
│ fill: d.fill,
│ order: d.order,
│ hidden: d.hidden,
│ })),
│ });
│ }
│ return out;
│ }
│ ```
│ Note: chart.width/height exist on Chart (the chart's width/height properties). chartArea has
│ left/top/right/bottom.
│ 5. Take a new screenshot with puppeteer (full page) for the record.
│
│ After that, analyze.
│
│ write /tmp/opencode/cdp/probe.js ok 0.0s
│ in
│ {
│ "content": "const puppeteer = require(\"puppeteer-core\");\n\n(async () => {\n const
│ browser = await puppeteer.launch({\n executablePath: \"/usr/bin/chromium\",\n
│ headless: \"new\",\n args: [\"--no-sandbox\", \"--disable-gpu\",
│ \"--window-size=1440,1000\"],\n });\n const page = await browser.newPage();\n await
│ page.setViewport({ width: 1440, height: 1000 });\n const logs = [];\n
│ page.on(\"console\", (m) => logs.push(m.type() + \": \" + m.text()));\n
│ page.on(\"pageerror\", (e) => logs.push(\"PAGEERROR: \" + e.message));\n await
│ page.goto(\"http://127.0.0.1:8599/\", { waitUntil: \"networkidle0\", timeout: 30000 });\n
│ await new Promise((r) => setTimeout(r, 4000));\n const state = await page.evaluate(() =>
│ {\n const out = [];\n for (const chart of Object.values(Chart.instances)) {\n
│ out.push({\n canvas: chart.canvas.id,\n w: chart.width,\n h:
│ chart.height,\n area: chart.chartArea,\n datasets:
│ chart.data.datasets.map((d) => ({\n label: d.label,\n n: d.data ?
│ d.data.length : -1,\n nonNull: d.data ? d.data.filter((v) => v !== null && v !==
│ undefined).length : -1,\n fill: d.fill,\n order: d.order,\n
│ hidden: d.hidden,\n })),\n });\n }\n return out;\n });\n
│ console.log(JSON.stringify(state, null, 1));\n console.log(\"CONSOLE_LOGS_START\");\n
│ console.log(logs.join(\"\\n\"));\n await page.screenshot({ path:
│ \"/tmp/opencode/dash-bands2.png\" });\n await browser.close();\n})();\n",
│ "filePath": "/tmp/opencode/cdp/probe.js"
│ }
│ out Wrote file successfully.
│
│ tokens 25 in 780 out 66199 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:25:45 • assistant • Qwen3.8-27B-Think
│
│ The user has sent the same message for the 4th time. I'm in the middle of verification. The shot
│ server on port 8599 might still be running, or it might have stopped. Let me check, run the
│ probe, and get the chart's state.
│
│ Let's proceed efficiently: verify that the shot server is running, run the probe, and analyze.
│
│ bash curl -s -o /dev/null -w "%{http_code}\n" http://127.0.0.1:8599/api/history |… ok 0.0s
│ in
│ {
│ "command": "curl -s -o /dev/null -w \"%{http_code}\\n\" http://127.0.0.1:8599/api/history
│ || echo DOWN"
│ }
│ out 200
│
│ tokens 21 in 145 out 67003 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:25:49 • assistant • Qwen3.8-27B-Think
│
│ I need to look into this further. Let me check the details.
│
│ The shot server is still running with the seeded 200 points (the buffer may have been refilled
│ with actual samples, but the maxlen 1800 keeps the most recent ones — the seeded 1800 got pushed
│ out by the real samples… no wait: the seeded 1800 filled the maxlen 1800 deque; each real sample
│ that arrives after that evicts the oldest seeded one. Several minutes have passed → maybe 30–60
│ real samples have replaced the oldest seeded ones. Still about 200 window points. No problem.)
│
│ Running the probe now.
│
│ bash cd /tmp/opencode/cdp && node probe.js 2>&1 | tail -60 ok 0.0s
│ in
│ {
│ "command": "cd /tmp/opencode/cdp && node probe.js 2>&1 | tail -60",
│ "timeout": 90000
│ }
│ out
│ {
│ "canvas": "chart-io",
│ "w": 436,
│ "h": 218,
│ "area": {
│ "left": 32.01171875,
│ "top": 10.2,
│ "right": 436,
│ "bottom": 207.79999999999998,
│ "height": 197.6,
│ "width": 403.98828125
│ },
│ "datasets": [
│ {
│ "label": "read",
│ "n": 0,
│ "nonNull": 0,
│ "fill": false,
│ "order": 0
│ },
│ {
│ "label": "read max",
│ "n": 0,
│ "nonNull": 0,
│ "fill": false,
│ "order": 2
│ },
│ {
│ "label": "read min",
│ "n": 0,
│ "nonNull": 0,
│ "fill": false,
│ "order": 1
│ },
│ {
│ "label": "write",
│ "n": 0,
│ "nonNull": 0,
│ "fill": false,
│ "order": 0
│ },
│ {
│ "label": "write max",
│ "n": 0,
│ "nonNull": 0,
│ "fill": false,
│ "order": 2
│ },
│ {
│ "label": "write min",
│ "n": 0,
│ "nonNull": 0,
│ "fill": false,
│ "order": 1
│ }
│ ]
│ }
│ ]
│ CONSOLE_LOGS_START
│ error: Failed to load resource: the server responded with a status of 404 (Not Found)
│
│ tokens 18 in 207 out 67169 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:26:04 • assistant • Qwen3.8-27B-Think
│
│ The output was truncated by `tail -60` — I can only see the io chart. Key findings so far:
│
│ 1. **chart-io datasets: n: 0** — the data array is empty! So the io chart received no data.
│ 2. **console: `error: Failed to load resource: 404`** — something 404'd! Maybe the /api/history
│ fetch?? Or a static resource? If /api/history returned 404… no wait, curl just returned 200 a
│ moment ago. But hold on — `updateCharts` only runs when the fetch succeeds. If the fetch 404'd…
│ hmm.
│
│ But wait, the cpu chart had a line drawn (2086 px in the earlier pixel scan). If /api/history
│ 404'd, no chart should have any data. Unless the 404 is a different resource (favicon?
│ screenshot request?). Let me look at the full probe output — I need the cpu and mem chart states
│ too. And identify which resource 404'd.
│
│ Hmm wait, actually — there's a subtle point: the probe waits 4 seconds after networkidle0. The
│ initial `pollHistory()` fires on load. If that fetch succeeded, all charts should have 200
│ points. The io chart has 0 points → the io build ran with an empty series?? In my `build`:
│ `series[key]` is undefined → `envelopeDs(name, color, undefined)` → `s = s || {}` → data is
│ `[]`. So the io keys `io_read`/`io_write` didn't exist in the series from /api/history!
│
│ Why? My shot_server seed has io_read and io_write… and the TestClient test was… let me check:
│ the endpoint test printed "keys: 3" — what?! 1800 samples were seeded yet only 3 series keys!
│ The TestClient samples had cpu, mem_total, gpu (the others were… wait, my test_endpoint seed
│ was: cpu, mem_total, gpu, flag, name → numeric keys = cpu, mem_total, gpu = 3 keys. OK, that's
│ consistent — "keys: 3" is correct for that minimal seed. My mistake, I misread it as suspicious.
│
│ So in the shot server, io_read/io_write were included in the seed… but wait — real sampler
│ samples (from the sampler loop) are also being recorded, and those have different keys (io_read,
│ io_write from the disk rate, mem keys, etc.). The windowed union of keys should inclu
│ … [7650 more chars]
│
│ I need to investigate this further. Let me check the details. The IO chart data is empty, and
│ the initial state remains as-is — `updateCharts` never got the data even once. Let me try to get
│ the full logs and what the page's fetch is actually seeing:
│
│ write /tmp/opencode/cdp/probe2.js ok 0.0s
│ in
│ {
│ "content": "const puppeteer = require(\"puppeteer-core\");\n\n(async () => {\n const
│ browser = await puppeteer.launch({\n executablePath: \"/usr/bin/chromium\",\n
│ headless: \"new\",\n args: [\"--no-sandbox\", \"--disable-gpu\",
│ \"--window-size=1440,1000\"],\n });\n const page = await browser.newPage();\n await
│ page.setViewport({ width: 1440, height: 1000 });\n const logs = [];\n
│ page.on(\"console\", (m) => logs.push(\"CONSOLE \" + m.type() + \": \" + m.text()));\n
│ page.on(\"pageerror\", (e) => logs.push(\"PAGEERROR: \" + e.message + \"\\n\" + (e.stack
│ || \"\").split(\"\\n\").slice(0, 4).join(\"\\n\")));\n page.on(\"response\", (r) => {\n
│ if (r.url().includes(\"8599\")) logs.push(\"RESP \" + r.status() + \" \" + r.url());\n
│ });\n page.on(\"requestfailed\", (r) => logs.push(\"REQFAIL \" + r.url() + \" \" +
│ (r.failure() || {}).errorText));\n await page.goto(\"http://127.0.0.1:8599/\", {
│ waitUntil: \"networkidle0\", timeout: 30000 });\n await new Promise((r) => setTimeout(r,
│ 6000));\n const fetched = await page.evaluate(async () => {\n try {\n const r =
│ await fetch(\"/api/history\");\n const t = await r.text();\n const d =
│ JSON.parse(t);\n return { status: r.status, len: t.length, pts: d.ts ? d.ts.length :
│ null, keys: d.series ? Object.keys(d.series).length : null, cpu: d.series ? d.series.cpu :
│ null };\n } catch (e) {\n return { err: String(e) };\n }\n });\n
│ console.log(\"PAGE_FETCH:\", JSON.stringify(fetched).slice(0, 400));\n const state =
│ await page.evaluate(() => {\n const out = [];\n for (const chart of
│ Object.values(Chart.instances)) {\n out.push({\n canvas: chart.canvas.id,\n
│ labels: chart.data.labels.length,\n datasets: chart.data.datasets.map((d) => ({\n
│ label: d.label,\n n: d.data ? d.data.length : -1,\n fill: d.fill,\n
│ })),\n });\n }\n return out;\n });\n console.log(\"CHARTS:\",
│ JSON.stringify(state));\n console.l
│ … [138 more chars]
│ out Wrote file successfully.
│
│ tokens 465 in 3353 out 67393 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:27:57 • assistant • Qwen3.8-27B-Think
│
│ I need to investigate this further. Let me check the details.
│
│ Let me run probe2 to get more diagnostic information. I'll try running it.
│
│ bash cd /tmp/opencode/cdp && node probe2.js 2>&1 | tail -40 ok 0.0s
│ in
│ {
│ "command": "cd /tmp/opencode/cdp && node probe2.js 2>&1 | tail -40",
│ "timeout": 90000
│ }
│ out
│ PAGE_FETCH:
│ {"status":200,"len":79112,"pts":200,"keys":19,"cpu":{"avg":[28.1,27,23.8,23.6,21.4,19.1,19.4
│ ,18.3,14.6,14.7,13.1,11,20,10.1,8.3,7.4,5.7,6.3,6.2,6.7,6.7,6.9,8,6.8,11.3,9.9,13.6,11.7,14.
│ 9,17.1,17.6,20.5,21.8,23.6,24.9,26.1,29.4,31.7,33.5,34,43.5,37.5,39.8,38.8,42.8,41.4,41.8,43
│ .8,43.6,42.5,41.2,43.5,42.8,40.2,40.5,40.2,37.2,36.3,38,35.8,34.6,31.2,31.7,27.5,25.7,24.5,2
│ 3.2,34.4,21.1,18.9,14.4,14.1,13.
│ CHARTS:
│ [{"canvas":"chart-cpu","labels":200,"datasets":[{"label":"CPU","n":200,"fill":false},{"label
│ ":"CPU max","n":200,"fill":2},{"label":"CPU
│ min","n":200,"fill":false},{"label":"GPU","n":200,"fill":false},{"label":"GPU
│ max","n":200,"fill":5},{"label":"GPU
│ min","n":200,"fill":false}]},{"canvas":"chart-mem","labels":0,"datasets":[{"label":"Memory",
│ "n":0,"fill":false},{"label":"Memory max","n":0,"fill":false},{"label":"Memory
│ min","n":0,"fill":false},{"label":"VRAM","n":0,"fill":false},{"label":"VRAM
│ max","n":0,"fill":false},{"label":"VRAM
│ min","n":0,"fill":false}]},{"canvas":"chart-io","labels":0,"datasets":[{"label":"read","n":0
│ ,"fill":false},{"label":"read max","n":0,"fill":false},{"label":"read
│ min","n":0,"fill":false},{"label":"write","n":0,"fill":false},{"label":"write
│ max","n":0,"fill":false},{"label":"write min","n":0,"fill":false}]}]
│ LOGS_START
│ RESP 200 http://127.0.0.1:8599/
│ RESP 200 http://127.0.0.1:8599/static/css/style.css
│ RESP 200 http://127.0.0.1:8599/static/vendor/htmx.min.js
│ RESP 200 http://127.0.0.1:8599/static/js/app.js
│ RESP 200 http://127.0.0.1:8599/static/vendor/chart.umd.min.js
│ RESP 200 http://127.0.0.1:8599/api/history
│ RESP 200 http://127.0.0.1:8599/api/disks
│ RESP 200 http://127.0.0.1:8599/api/overview
│ RESP 404 http://127.0.0.1:8599/favicon.ico
│ CONSOLE error: Failed to load resource: the server responded with a status of 404 (Not
│ Found)
│ RESP 200 http://127.0.0.1:8599/api/plugins
│ RESP 200 http://127.0.0.1:8599/api/processes?q=&sort=cpu&order=desc
│ RESP 200 http://127.0.0.1:8599/api/services?q=&sort=name&order=asc
│ RESP 200 http://127.0.0.1:8
│ … [951 more chars]
│
│ tokens 21 in 96 out 71210 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:28:11 • assistant • Qwen3.8-27B-Think
│
│ Now it's clear:
│
│ - `/api/history` returns 200 with 200 points and 19 keys. The page's fetch works fine.
│ - **chart-cpu**: labels=200, all 6 datasets have n=200, fill=2 and fill=5 are set. → CPU chart
│ is fully working!
│ - **chart-mem**: labels=0, all n=0, fill=false → still in initial state, `build` never ran even
│ once!
│ - **chart-io**: same as above.
│
│ In other words, `build(charts.cpu, ...)` ran, but `build(charts.mem, ...)` and `build(charts.io,
│ ...)` never ran — and there's no PAGEERROR in the logs! If `build(charts.mem, ...)` threw, the
│ catch in `pollHistory`'s promise chain would swallow it… no wait, that's not right:
│ `updateCharts` is called inside `.then(updateCharts)`. If updateCharts throws midway (after the
│ cpu build succeeds), the error becomes a rejected promise → `.catch(() => {})` silently swallows
│ it! And the pageerror event doesn't fire for unhandled rejections inside a .then chain?
│ Actually, unhandled rejections can trigger the 'pageerror' event in some versions of puppeteer…
│ but here it was silently swallowed by my own `.catch(() => {})`.
│
│ So `build(charts.mem, ...)` is throwing an exception. Why?
│
│ Looking at build:
│
│ ```js
│ const build = (chart, pairs) => {
│ chart.data.labels = labels;
│ chart.data.datasets = [];
│ pairs.forEach(([name, color, key], i) => {
│ const ds = envelopeDs(name, color, series[key]);
│ ds[1].fill = i * 3 + 2;
│ chart.data.datasets.push(...ds);
│ });
│ chart.update("none");
│ };
│ ```
│
│ Hmm, what could throw with mem but not with cpu? The data: `series["mem_pct"]`,
│ `series["vram_pct"]`… 19 keys — mem_pct should be there (the mem sample has mem_pct). Hmm, wait,
│ is that really true? The keys come from the union across all windows. mem_pct is collected by
│ mem.sample() — it should exist in every sample.
│
│ Wait a sec — what if `series["mem_pct"]` existed, but one of the values was a string?? No,
│ that's not it…
│
│ Wait, actually — the problem might not be that an exception is being thrown, but rather:
│ … [3768 more chars]
│
│ The fetch is working (200 points, 19 keys) and the CPU chart has data loaded, but
│ `update("none")` throws an exception there — so the mem/io builds get skipped and are silently
│ swallowed by `pollHistory`'s `.catch(() => {})`. Let me try to capture the actual exception:
│
│ write /tmp/opencode/cdp/probe3.js ok 0.0s
│ in
│ {
│ "content": "const puppeteer = require(\"puppeteer-core\");\n\n(async () => {\n const
│ browser = await puppeteer.launch({\n executablePath: \"/usr/bin/chromium\",\n
│ headless: \"new\",\n args: [\"--no-sandbox\", \"--disable-gpu\",
│ \"--window-size=1440,1000\"],\n });\n const page = await browser.newPage();\n await
│ page.setViewport({ width: 1440, height: 1000 });\n page.on(\"pageerror\", (e) =>
│ console.log(\"PAGEERROR:\", e.message, (e.stack || \"\").split(\"\\n\").slice(0,
│ 5).join(\" | \")));\n await page.goto(\"http://127.0.0.1:8599/\", { waitUntil:
│ \"networkidle0\", timeout: 30000 });\n const patched = await page.evaluate(() => {\n
│ window.__chartErrs = [];\n window.addEventListener(\"unhandledrejection\", (e) => {\n
│ window.__chartErrs.push(\"REJECTION: \" + ((e.reason && (e.reason.stack ||
│ e.reason.message)) || String(e.reason)));\n });\n const orig =
│ Chart.prototype.update;\n Chart.prototype.update = function (...args) {\n try {\n
│ return orig.apply(this, args);\n } catch (e) {\n
│ window.__chartErrs.push(\"UPDATE \" + this.canvas.id + \": \" + e.message + \" :: \" +
│ (e.stack || \"\").split(\"\\n\").slice(0, 6).join(\" | \"));\n throw e;\n }\n
│ };\n return true;\n });\n console.log(\"patched:\", patched);\n await new
│ Promise((r) => setTimeout(r, 5000));\n const errs = await page.evaluate(() =>
│ window.__chartErrs);\n console.log(\"ERRORS_START\");\n (errs || []).forEach((e) =>
│ console.log(e));\n console.log(\"ERRORS_END\");\n await browser.close();\n})();\n",
│ "filePath": "/tmp/opencode/cdp/probe3.js"
│ }
│ out Wrote file successfully.
│
│ tokens 1554 in 2116 out 71327 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:29:24 • assistant • Qwen3.8-27B-Think
│
│ The user sent the same message again (5th time). I'm in the middle of debugging. Let me run
│ probe3 to get the exact error from chart.update().
│
│ bash cd /tmp/opencode/cdp && node probe3.js 2>&1 | tail -20 ok 0.0s
│ in
│ {
│ "command": "cd /tmp/opencode/cdp && node probe3.js 2>&1 | tail -20",
│ "timeout": 90000
│ }
│ out
│ patched: true
│ ERRORS_START
│ UPDATE chart-cpu: Cannot read properties of undefined (reading 'band') :: TypeError: Cannot
│ read properties of undefined (reading 'band') | at Proxy.filter
│ (http://127.0.0.1:8599/static/js/app.js:67:109) | at
│ http://127.0.0.1:8599/static/vendor/chart.umd.min.js:13:171742 | at Array.filter
│ (<anonymous>) | at xa.buildLabels
│ (http://127.0.0.1:8599/static/vendor/chart.umd.min.js:13:171729) | at xa.update
│ (http://127.0.0.1:8599/static/vendor/chart.umd.min.js:13:171401)
│ UPDATE chart-cpu: Cannot read properties of undefined (reading 'band') :: TypeError: Cannot
│ read properties of undefined (reading 'band') | at Proxy.filter
│ (http://127.0.0.1:8599/static/js/app.js:67:109) | at
│ http://127.0.0.1:8599/static/vendor/chart.umd.min.js:13:171742 | at Array.filter
│ (<anonymous>) | at xa.buildLabels
│ (http://127.0.0.1:8599/static/vendor/chart.umd.min.js:13:171729) | at xa.update
│ (http://127.0.0.1:8599/static/vendor/chart.umd.min.js:13:171401)
│ ERRORS_END
│
│ tokens 21 in 99 out 74996 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:29:37 • assistant • Qwen3.8-27B-Think
│
│ Found it:
│
│ ```
│ TypeError: Cannot read properties of undefined (reading 'band')
│ at Proxy.filter (app.js:67:109) → my own legend filter: (item) => !item.dataset.band
│ at xa.buildLabels (legend plugin)
│ ```
│
│ The legend's `labels.filter` callback receives an `item`, but `item.dataset` is undefined in
│ this context. In Chart.js 4, the legend `labels.filter` callback signature is: `filter(item,
│ data)`, where `item` is a legend item with properties like `text`, `fillStyle`, `strokeStyle`,
│ `hidden`, `index`, etc... and crucially, `item.dataset` — hmm, I thought legend items had a
│ `dataset` reference. Apparently in Chart.js 4.4.1, the legend item passed to the filter doesn't
│ have a `.dataset` property (it does have `.index` though).
│
│ Looking at the Chart.js source (v4), `buildLabels` in `plugin.legend` constructs items like:
│ ```js
│ items = chart.data.datasets.map((dataset, i) => ({
│ text: ...,
│ datasetIndex: i, // hmm, or is it index?
│ hidden: !isDatasetVisible(chart, i),
│ fillStyle: ...,
│ strokeStyle: ...,
│ lineCap: ...,
│ lineDash: ...,
│ lineDashOffset: ...,
│ lineWeight: ...,
│ pointStyle: ...,
│ fontColor: ...,
│ hidden: ...,
│ dataset: dataset, // ???
│ index: i,
│ }));
│ ```
│
│ Hmm — from the error, `item.dataset` is undefined. So in 4.4.1 the legend item doesn't include
│ `dataset`. Let me check the Chart.js 4.4.1 source... In `src/plugins/plugin.legend.js`:
│
│ ```js
│ function _filterItems(chart, legendItems) {
│ ...
│ }
│ ...
│ const items = legendItems...
│ ```
│
│ The actual v4 legend `generateLabels`/`buildLabels`:
│
│ ```js
│ buildLabels(chart) {
│ const data = chart.data;
│ const labels = [];
│ for (let i = 0; i < data.datasets.length; i++) {
│ ...
│ labels.push({
│ text,
│ datasetIndex: i,
│ hidden: !chart.isDatasetVisible(i),
│ ...
│ });
│ }
│ }
│ ```
│
│ Hmm, wait, but I actually have a memory of Chart.js legend items having a `dataset` property...
│ In Chart.js 3/4, the default `labels.generateLabels` returns items that include `dataset`? Let
│ me check the actual 4
│ … [4933 more chars]
│
│ I need to look into this further. Let me check the details. Found it — the legend's
│ `labels.filter` is receiving items that don't have a `.dataset` property (in Chart.js 4, legend
│ items expose `datasetIndex`). Let me check the exact item structure and filter signature in the
│ vendored build:
│
│ bash grep -o "datasetIndex" /home/mac/Code/dashboard/static/vendor/chart.umd.min.… ok 0.0s
│ in
│ {
│ "command": "grep -o \"datasetIndex\"
│ /home/mac/Code/dashboard/static/vendor/chart.umd.min.js | head -2; grep -oE
│ \"\\.filter\\(([a-zA-Z$_]+)\\s*=>[^)]*\\)\"
│ /home/mac/Code/dashboard/static/vendor/chart.umd.min.js | head -5; grep -oE
│ \"filter\\([a-zA-Z$_]+,[a-zA-Z$_]+\\)\"
│ /home/mac/Code/dashboard/static/vendor/chart.umd.min.js | head -5"
│ }
│ out
│ datasetIndex
│ datasetIndex
│
│ tokens 402 in 2086 out 75117 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:30:48 • assistant • Qwen3.8-27B-Think
│
│ "datasetIndex" exists in the bundled build (legend item property ✓). The grep for the filter
│ signature didn't match with my pattern. Let me search for the legend's filter invocation a
│ different way — search for the "buildLabels" context, or the `.filter(` with a two-argument
│ arrow function. In the minified code, it might look like `.filter((t,e)=>` near the legend
│ options processing. Let me grep for `filter((` and look at a few candidates.
│
│ bash grep -oE "filter\(\( ?[a-zA-Z$_]+, ?[a-zA-Z$_]+ ?\) ?=> ?[^;]{0,60}" /home/m… ok 0.0s
│ in
│ {
│ "command": "grep -oE \"filter\\(\\( ?[a-zA-Z$_]+, ?[a-zA-Z$_]+ ?\\) ?=> ?[^;]{0,60}\"
│ /home/mac/Code/dashboard/static/vendor/chart.umd.min.js | head -8"
│ }
│ out (no output)
│
│ tokens 20 in 183 out 77605 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:30:55 • assistant • Qwen3.8-27B-Think
│
│ I need to investigate this further. Let me check the details.
│
│ There's no minified match with that pattern. To understand the filter's signature, let me look
│ at the actual Chart.js 4.4.1 source on disk — check node_modules? Not installed. Let me check
│ the source of the legend plugin in the minified bundle: search for `buildLabels` in the minified
│ file.
│
│ bash python3 - <<'EOF' import re src = open('/home/mac/Code/dashboard/static/vend… ok 0.0s
│ in
│ {
│ "command": "python3 - <<'EOF'\nimport re\nsrc =
│ open('/home/mac/Code/dashboard/static/vendor/chart.umd.min.js').read()\ni =
│ src.find('buildLabels')\nwhile i != -1:\n seg = src[max(0, i-200): i+700]\n if
│ 'filter' in seg:\n print(seg.replace('\\n', ' ')[:900])\n print('=' * 80)\n
│ i = src.find('buildLabels', i + 1)\n if i > 3_000_000: break\nEOF"
│ }
│ out
│ ght=void 0,this.width=void 0,this._margins=void 0,this.position=void 0,this.weight=void
│ 0,this.fullSize=void
│ 0}update(t,e,i){this.maxWidth=t,this.maxHeight=e,this._margins=i,this.setDimensions(),this.b
│ uildLabels(),this.fit()}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.l
│ eft=this._margins.left,this.right=this.width):(this.height=this.maxHeight,this.top=this._mar
│ gins.top,this.bottom=this.height)}buildLabels(){const t=this.options.labels||{};let
│ e=d(t.generateLabels,[this.chart],this)||[];t.filter&&(e=e.filter((e=>t.filter(e,this.chart.
│ data)))),t.sort&&(e=e.sort(((e,i)=>t.sort(e,i,this.chart.data)))),this.options.reverse&&e.re
│ verse(),this.legendItems=e}fit(){const{options:t,ctx:e}=this;if(!t.display)return
│ void(this.width=this.height=0);const
│ i=t.labels,s=Si(i.font),n=s.size,o=this._computeTitleHeight(),{boxWidth:a,itemHeight:r}=ba(i
│ ,n);let l,h;e.font=s.string,this.isH
│ ================================================================================
│ fit()}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.left=this._margins.
│ left,this.right=this.width):(this.height=this.maxHeight,this.top=this._margins.top,this.bott
│ om=this.height)}buildLabels(){const t=this.options.labels||{};let
│ e=d(t.generateLabels,[this.chart],this)||[];t.filter&&(e=e.filter((e=>t.filter(e,this.chart.
│ data)))),t.sort&&(e=e.sort(((e,i)=>t.sort(e,i,this.chart.data)))),this.options.reverse&&e.re
│ verse(),this.legendItems=e}fit(){const{options:t,ctx:e}=this;if(!t.display)return
│ void(this.width=this.height=0);const
│ i=t.labels,s=Si(i.font),n=s.size,o=this._computeTitleHeight(),{boxWidth:a,itemHeight:r}=ba(i
│ ,n);let
│ l,h;e.font=s.string,this.isHorizontal()?(l=this.maxWidth,h=this._fitRows(o,n,a,r)+10):(h=thi
│ s.maxHeight,l=this._fitCols(o,s,a,r)+10),this.width=Math.min(l,t.maxWidth||this.maxWidth),th
│ is.height=Math.min(h,t.maxHeight||this.maxHeight)}_fitRows(t,e,
│ ================================================================================
│
│ tokens 17 in 245 out 77809 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:31:03 • assistant • Qwen3.8-27B-Think
│
│ Confirmed from the bundled source:
│
│ ```js
│ t.filter && (e = e.filter((e => t.filter(e, this.chart.data))))
│ ```
│
│ So `labels.filter(item, chartData)` — the second argument is `chart.data`. And the legend items
│ have a `datasetIndex` property (it exists in the bundle).
│
│ Therefore, the fix for the LEGEND filter in app.js:
│
│ ```js
│ const LEGEND = { display: true, labels: { boxWidth: 10, color: "#7d8a9c", filter: (item, data)
│ => !data.datasets[item.datasetIndex]?.band } };
│ ```
│
│ Let me quickly re-verify that the legend item contains `datasetIndex` — grep found two
│ occurrences of `datasetIndex` in the bundle. Let me confirm they're inside the label-generation
│ code (default generateLabels). Search for the context around those occurrences.
│
│ Confirmed: `labels.filter(item, chartData)` — the 2nd arg is `chart.data`, and legend items use
│ `datasetIndex`. Verifying the item shape:
│
│ bash python3 - <<'EOF' src = open('/home/mac/Code/dashboard/static/vendor/chart.u… ok 0.0s
│ in
│ {
│ "command": "python3 - <<'EOF'\nsrc =
│ open('/home/mac/Code/dashboard/static/vendor/chart.umd.min.js').read()\ni =
│ src.find('datasetIndex')\nwhile i != -1:\n print(repr(src[max(0, i-260): i+80]))\n
│ print('=' * 70)\n i = src.find('datasetIndex', i + 1)\nEOF"
│ }
│ out
│ '1;a>=0;a--)e.call(i,t[a],a);else for(a=0;a<r;a++)e.call(i,t[a],a);else
│ if(o(t))for(l=Object.keys(t),r=l.length,a=0;a<r;a++)e.call(i,t[l[a]],l[a])}function
│ f(t,e){let
│ i,s,n,o;if(!t||!e||t.length!==e.length)return!1;for(i=0,s=t.length;i<s;++i)if(n=t[i],o=e[i],
│ n.datasetIndex!==o.datasetIndex||n.index!==o.index)return!1;return!0}function g(t)'
│ ======================================================================
│ '(i,t[a],a);else for(a=0;a<r;a++)e.call(i,t[a],a);else
│ if(o(t))for(l=Object.keys(t),r=l.length,a=0;a<r;a++)e.call(i,t[l[a]],l[a])}function
│ f(t,e){let
│ i,s,n,o;if(!t||!e||t.length!==e.length)return!1;for(i=0,s=t.length;i<s;++i)if(n=t[i],o=e[i],
│ n.datasetIndex!==o.datasetIndex||n.index!==o.index)return!1;return!0}function
│ g(t){if(n(t))return t'
│ ======================================================================
│ '=r=i.stop?a:null):(r=a,l.skip&&(e=a)),l=i}return
│ null!==r&&o.push({start:e%n,end:r%n,loop:s}),o}(i,a,r<a?r+n:r,!!t._fullLoop&&0===a&&r===n-1)
│ ,i,e)}function Fi(t,e,i,s){return s&&s.setContext&&i?function(t,e,i,s){const
│ n=t._chart.getContext(),o=Vi(t.options),{_datasetIndex:a,options:{spanGaps:r}}=t,l=i.length,
│ h=[];let c=o,d=e[0].start,u=d;'
│ ======================================================================
│ 'for(;i[e%l].skip;)e+=o;t%l!=e%l&&(h.push({start:t%l,end:e%l,loop:s,style:n}),c=n,d=e%l)}}fo
│ r(const t of e){d=r?d:t.start;let e,o=i[d%l];for(u=d+1;u<=t.end;u++){const
│ r=i[u%l];e=Vi(s.setContext(Ci(n,{type:"segment",p0:o,p1:r,p0DataIndex:(u-1)%l,p1DataIndex:u%
│ l,datasetIndex:a}))),Bi(e,c)&&f(d,u-1,t.loop,c),o=r,c=e}d<u-1&&f(d,u-1,t.loop,c)}r'
│ ======================================================================
│ 'a:r}=o[t],{lo:l,hi:h}=Ni(o[t],e,a,n);for(let t=l;t<=h;++t){const
│ e=r[t];e.skip||s(e,i,t)}}}function ji(t,e,i,s,n){const
│ o=[];if(!n&&!t.isPointInArea(e))return o;return
│ Hi(t,i,e,(function(i,a,r){(n||Re(i,t.chartArea,0))&&i.inRange(e.x,e.y,s)&&o.push({element:i,
│ datasetIndex:a,index:r})}),!0),o}function $i(t,e,i,s,n,o){let a=[];const r=funct'
│ =
│ … [13733 more chars]
│
│ tokens 517 in 342 out 78072 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:31:15 • assistant • Qwen3.8-27B-Think
│
│ From the last relevant chunk, I can confirm the structure of the legend item in the default
│ `generateLabels`:
│
│ ```js
│ ...pointStyle:s||l.pointStyle,rotation:l.rotation,textAlign:n||l.textAlign,borderRadius:a&&(r||l
│ .borderRadius),datasetIndex:t.index}}
│ ```
│
│ So the legend item has `datasetIndex` (= the dataset's index). And the filter's call:
│ `e.filter((e=>t.filter(e,this.chart.data)))` — `filter(item, chartData)`.
│
│ Therefore the fix is:
│
│ ```js
│ const LEGEND = { display: true, labels: { boxWidth: 10, color: "#7d8a9c", filter: (item, data)
│ => !data.datasets[item.datasetIndex]?.band } };
│ ```
│
│ I'll update app.js. After that, re-run the probes to verify the following: no errors, all three
│ charts with 200 datasets, fill is set, and the legend filter is working. Then take a new
│ screenshot and re-run the pixel check (the pixel check was previously matching the UI colors —
│ the cpu line count of 2086 was probably the text on the cyan card; I'll improve the pixel check
│ to only scan the chart's canvas region... but without being able to see the image, I can't know
│ the canvas coordinates precisely. Better approach: use puppeteer to clip the screenshot to each
│ canvas element (element.screenshot()) — that way I get an image of just the chart. Then run the
│ pixel check against those chart-only images (the background is a solid card color, so the
│ tolerance-based method becomes more reliable).
│
│ Plan:
│ 1. Fix the LEGEND filter in app.js.
│ 2. Re-run probe2 (confirm no errors, all charts populated).
│ 3. Update the probe to also take element screenshots of the three canvases.
│ 4. Run the pixel check on the canvas-only screenshots.
│ 5. Then final checks on the live server: all endpoints 200, shape of /api/history, tracebacks in
│ the log.
│ 6. Terminate the shot server (8599) and clean up temporary files.
│
│ Editing app.js:
│
│ Confirmed in the vendored build: legend items have `datasetIndex`, and `filter(item, chartData)`
│ receives `chart.data`. Fixing the legend filter:
│
│ edit /home/mac/Code/dashboard/static/js/app.js ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/static/js/app.js",
│ "oldString": " const LEGEND = { display: true, labels: { boxWidth: 10, color:
│ \"#7d8a9c\", filter: (item) => !item.dataset.band } };",
│ "newString": " const LEGEND = { display: true, labels: { boxWidth: 10, color:
│ \"#7d8a9c\", filter: (item, data) => !data.datasets[item.datasetIndex]?.band } };"
│ }
│ out Edit applied successfully.
│
│ tokens 4421 in 643 out 78930 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) 8ded0501
│ 2026-08-30 18:31:50 • assistant • Qwen3.8-27B-Think
│
│ Alright, let's write a final probe that does the following:
│ 1. Load the page, patch Chart.prototype.update to catch errors (as before).
│ 2. Wait 5 seconds.
│ 3. Dump chart state (label count, dataset counts, fill).
│ 4. Report any errors.
│ 5. Take an element screenshot of each canvas (chart-only image) to /tmp/opencode/.
│
│ After that, run a pixel check on the canvas screenshots.
│
│ write /tmp/opencode/cdp/probe4.js ok 0.0s
│ in
│ {
│ "content": "const puppeteer = require(\"puppeteer-core\");\n\n(async () => {\n const
│ browser = await puppeteer.launch({\n executablePath: \"/usr/bin/chromium\",\n
│ headless: \"new\",\n args: [\"--no-sandbox\", \"--disable-gpu\",
│ \"--window-size=1440,1000\"],\n });\n const page = await browser.newPage();\n await
│ page.setViewport({ width: 1440, height: 1000 });\n page.on(\"pageerror\", (e) =>
│ console.log(\"PAGEERROR:\", e.message));\n await page.goto(\"http://127.0.0.1:8599/\", {
│ waitUntil: \"networkidle0\", timeout: 30000 });\n await page.evaluate(() => {\n
│ window.__errs = [];\n window.addEventListener(\"unhandledrejection\", (e) => {\n
│ window.__errs.push(\"REJECTION: \" + ((e.reason && (e.reason.stack || e.reason.message))
│ || String(e.reason)));\n });\n const orig = Chart.prototype.update;\n
│ Chart.prototype.update = function (...args) {\n try {\n return
│ orig.apply(this, args);\n } catch (e) {\n window.__errs.push(\"UPDATE \" +
│ this.canvas.id + \": \" + e.message);\n throw e;\n }\n };\n });\n await
│ new Promise((r) => setTimeout(r, 5000));\n const errs = await page.evaluate(() =>
│ window.__errs);\n console.log(\"ERRORS:\", JSON.stringify(errs));\n const state = await
│ page.evaluate(() =>\n Object.values(Chart.instances).map((c) => ({\n canvas:
│ c.canvas.id,\n labels: c.data.labels.length,\n ds: c.data.datasets.map((d) =>
│ [d.label, d.data.length, d.fill]),\n legend: c.legend.legendItems.map((i) =>
│ i.text),\n }))\n );\n console.log(\"CHARTS:\", JSON.stringify(state));\n for (const
│ id of [\"chart-cpu\", \"chart-mem\", \"chart-io\"]) {\n const el = await page.$(\"#\" +
│ id);\n await el.screenshot({ path: `/tmp/opencode/canvas-${id}.png` });\n }\n await
│ page.screenshot({ path: \"/tmp/opencode/dash-final.png\" });\n await
│ browser.close();\n})();\n",
│ "filePath": "/tmp/opencode/cdp/probe4.js"
│ }
│ out Wrote file successfully.
│
│ tokens 20 in 682 out 83993 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:32:10 • assistant • Qwen3.8-27B-Think
│
│ Since app.js is served as a static file (no restart needed for JS changes), I can re-run probe4
│ directly against the shot server on port 8599.
│
│ bash cd /tmp/opencode/cdp && node probe4.js 2>&1 | tail -10 ok 0.0s
│ in
│ {
│ "command": "cd /tmp/opencode/cdp && node probe4.js 2>&1 | tail -10",
│ "timeout": 90000
│ }
│ out
│ ERRORS: []
│ CHARTS: [{"canvas":"chart-cpu","labels":200,"ds":[["CPU",200,false],["CPU max",200,2],["CPU
│ min",200,false],["GPU",200,false],["GPU max",200,5],["GPU
│ min",200,false]],"legend":["CPU","GPU"]},{"canvas":"chart-mem","labels":200,"ds":[["Memory",
│ 200,false],["Memory max",200,2],["Memory min",200,false],["VRAM",200,false],["VRAM
│ max",200,5],["VRAM
│ min",200,false]],"legend":["Memory","VRAM"]},{"canvas":"chart-io","labels":200,"ds":[["read"
│ ,200,false],["read max",200,2],["read min",200,false],["write",200,false],["write
│ max",200,5],["write min",200,false]],"legend":["read","write"]}]
│
│ tokens 19 in 101 out 84696 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:32:24 • assistant • Qwen3.8-27B-Think
│
│ Now everything is working:
│ - No JS errors.
│ - All 3 charts: 200 labels, all 6 datasets × 200 points, fill=2/fill=5 are correctly set.
│ - Legend displays only the main series: ["CPU","GPU"], ["Memory","VRAM"], ["read","write"] —
│ band datasets are filtered out.
│
│ Next, I'll run a pixel check on the per-canvas screenshots to confirm the bands (fill + line)
│ are actually being rendered. The canvas-only screenshots have a uniform card background (#1c2330
│ = (28,35,48)), so the same target color logic will work. I'll run check_pixels.py on each canvas
│ file.
│
│ Let me adapt: run the same script with different input paths. Quick inline Python that reuses
│ the logic for all 3 canvas files.
│
│ All charts fully populated, no errors, legends clean. Now pixel-verify the rendered bands on the
│ per-canvas screenshots:
│
│ bash python3 - <<'EOF' import math from PIL import Image bg = (28, 35, 48) a = 0x… ok 0.0s
│ in
│ {
│ "command": "python3 - <<'EOF'\nimport math\nfrom PIL import Image\n\nbg = (28, 35, 48)\na
│ = 0x2E / 255\ndef fill(c):\n return tuple(a * v + (1 - a) * b for v, b in zip(c,
│ bg))\n\nCOLORS = {\n \"cpu\": (0x4F, 0xC3, 0xF7), \"gpu\": (0xBA, 0x68, 0xC8),\n
│ \"mem\": (0x81, 0xC7, 0x84), \"vram\": (0xFF, 0xB7, 0x4D),\n \"read\": (0xE5, 0x73,
│ 0x73), \"write\": (0xFF, 0xF1, 0x76),\n}\nPER_FILE = {\n \"canvas-chart-cpu.png\":
│ [\"cpu\", \"gpu\"],\n \"canvas-chart-mem.png\": [\"mem\", \"vram\"],\n
│ \"canvas-chart-io.png\": [\"read\", \"write\"],\n}\nok = True\nfor fn, keys in
│ PER_FILE.items():\n img = Image.open(\"/tmp/opencode/\" + fn).convert(\"RGB\")\n px
│ = img.load()\n w, h = img.size\n res = {}\n for k in keys:\n line =
│ COLORS[k]\n fl = fill(line)\n ln = flc = 0\n for y in range(h):\n
│ for x in range(w):\n p = px[x, y]\n if math.dist(p, line) <=
│ 30: ln += 1\n if math.dist(p, fl) <= 12: flc += 1\n res[k] = (ln,
│ flc)\n print(fn, img.size, res)\n for k, (ln, flc) in res.items():\n if ln <
│ 100 or flc < 500:\n ok = False\nprint(\"BANDS_OK\" if ok else
│ \"BANDS_MISSING\")\nEOF",
│ "timeout": 180000
│ }
│ out
│ canvas-chart-cpu.png (436, 191) {'cpu': (901, 749), 'gpu': (461, 516)}
│ canvas-chart-mem.png (436, 191) {'mem': (382, 329), 'vram': (436, 168)}
│ canvas-chart-io.png (436, 191) {'read': (1811, 867), 'write': (496, 11)}
│ BANDS_MISSING
│
│ tokens 255 in 729 out 84817 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:32:48 • assistant • Qwen3.8-27B-Think
│
│ Progress! Currently, all 6 keys have line pixels, and fills are drawn on cpu (749), gpu (516),
│ mem (329), vram (168), read (867). Two issues:
│
│ 1. **write fill: 11 px** — barely any. Why? write = uniform(5e6, 90e6) — a band between min and
│ max of each window. Window w=9 → min~max spread should be considerable... the fill between
│ write's min and max lines should be a substantial area. 11 px is suspicious.
│
│ 2. **vram fill 168** — vram_pct = 30 + 15*sin + noise, None every 6 samples. The band's width
│ is... within a window of 9 samples, vram values: sine wave ± noise, 1.5 units per 2 seconds, 9
│ samples = 18 seconds → phase shift 18/150*2π*15 ≈ modest spread (a few %) + noise ±3. Band
│ height on a 0-100 scale, 191px chart: a spread of about 4-8 units ≈ 8-15px × 400px width × ~83%
│ coverage ≈ 2500-5000 px. Hmm, 168 is low, but vram has 1/6 missing → gaps. Still, 168 seems low.
│
│ Wait — but these fill pixel counts depend on the band width (difference between window max and
│ min). For smooth series (mem: 42+12*sin(i/400)+noise±2 → within a 9-sample window, sine
│ variation = 9/400*12*2π*… tiny, about 0.5 units; noise ±2 → band about 4 units ≈ 7px tall ×
│ 430px ≈ 3000px). mem fill = 329. Also low!
│
│ Hmm. So the fills are present but far smaller than my estimate. Possibilities:
│ - The fill color is slightly different from what I calculated (canvas compositing with subpixel
│ antialiasing on the line edges, plus the fill being drawn over gridlines etc.) — my tolerance is
│ 12.
│ - Or the fill is drawn only partially.
│
│ Wait, let me reconsider: are the fills really being drawn? The cpu fill is 749 px, in a 436x191
│ = 83k px canvas. The cpu band: 25±18 sine + noise ±6 + spike → window max-min spread:
│ noise-driven, about 10-20 units ≈ 20-40px band height × 436 ≈ 9-17k px. Observed value is 749.
│ Way off.
│
│ Hmm, so something is still off with the fill. But the lines are drawn (cpu 901 px — 3 lines ×
│ about 436 px × about 1.3 px ≈ 1700 px... observed 901, so-so; the lines have gaps due to
│ antialiasing/
│ … [2465 more chars]
│
│ Fills render but with much fewer pixels than expected. Let me dump the actual color histogram of
│ the CPU canvas to see what's really there:
│
│ bash python3 - <<'EOF' from collections import Counter from PIL import Image for … ok 0.0s
│ in
│ {
│ "command": "python3 - <<'EOF'\nfrom collections import Counter\nfrom PIL import
│ Image\n\nfor fn in [\"canvas-chart-cpu.png\", \"canvas-chart-io.png\"]:\n img =
│ Image.open(\"/tmp/opencode/\" + fn).convert(\"RGB\")\n c = Counter(img.getdata())\n
│ print(fn, img.size)\n for color, n in c.most_common(14):\n print(\" \", color,
│ n)\n print()\nEOF",
│ "timeout": 60000
│ }
│ out
│ <stdin>:6: DeprecationWarning: Image.Image.getdata is deprecated and will be removed in
│ Pillow 14 (2027-10-15). Use get_flattened_data instead.
│ canvas-chart-cpu.png (436, 191)
│ (22, 27, 35) 65511
│ (32, 57, 73) 1556
│ (52, 41, 64) 804
│ (24, 30, 39) 592
│ (26, 33, 43) 488
│ (32, 39, 50) 397
│ (30, 37, 46) 391
│ (23, 29, 37) 385
│ (28, 35, 45) 385
│ (24, 29, 38) 300
│ (79, 195, 247) 210
│ (186, 104, 200) 121
│ (19, 24, 31) 110
│ (55, 68, 97) 101
│
│ canvas-chart-io.png (436, 191)
│ (22, 27, 35) 55374
│ (59, 43, 49) 6201
│ (92, 74, 61) 3343
│ (28, 34, 44) 844
│ (22, 28, 37) 844
│ (229, 115, 115) 600
│ (26, 33, 42) 387
│ (24, 30, 40) 387
│ (32, 39, 50) 384
│ (65, 51, 60) 270
│ (255, 241, 118) 190
│ (24, 30, 39) 157
│ (64, 51, 59) 137
│ (30, 37, 46) 104
│
│ tokens 144 in 1607 out 85802 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:33:49 • assistant • Qwen3.8-27B-Think
│
│ Now I can decode this:
│
│ **CPU canvas:**
│ - Dominant background: (22,27,35) — 65511 px. Hmm, I expected (28,35,48) = #1c2330, but the
│ actual background is (22,27,35). Close to #161b23 (22,27,35) = --bg-panel! So the canvas sits on
│ top of the panel background, not the card background. (The .chart-card is bg-panel? The earlier
│ grep: `.tab-btn:hover { background: var(--bg-card) }`, `.chart-card {` … let me check: the
│ chart-card block — the grep result showed `background: var(--bg-panel)` appearing before
│ `.tab-btn:hover`… order: "html,body bg var(--bg)", "background: var(--bg-panel)", "background:
│ transparent", then .tab-btn:hover bg-card… So .chart-card is probably var(--bg-panel) = #161b23
│ = (22,27,35). ✓ matches!)
│
│ - **(32,57,73): 1556 px** — expected CPU fill (over bg-panel): a*color+(1-a)*bg =
│ 0.1804*(79,195,247)+0.8196*(22,27,35) = (14.25+18.03, 35.18+22.13, 44.56+28.69) = (32.3, 57.3,
│ 73.2) → (32,57,73) ✓✓✓ That's the CPU fill! 1556 px.
│ - **(52,41,64): 804 px** — expected GPU fill: 0.1804*(186,104,200)+0.8196*(22,27,35) =
│ (33.55+18.03, 18.76+22.13, 36.08+28.69) = (51.6, 40.9, 64.8) → (52,41,64) ✓ That's the GPU fill!
│ 804 px.
│ - (79,195,247): 210 px — pure cyan = CPU line (border + legend box).
│ - (186,104,200): 121 px — GPU line.
│ - (55,68,97): 101 px — hmm, a blend (grid lines on top of the fill?).
│
│ So the fill is being rendered correctly. My earlier target was using the wrong background
│ (28,35,48) instead of (22,27,35), so the counts came out low. With the correct background: CPU
│ fill 1556, GPU fill 804.
│
│ **IO canvas:**
│ - (59,43,49): 6201 px — expected read fill: 0.1804*(229,115,115)+0.8196*(22,27,35) =
│ (41.31+18.03, 20.75+22.13, 20.75+28.69) = (59.3, 42.9, 49.4) → (59,43,49) ✓ read fill, 6201 px —
│ big!
│ - (92,74,61): 3343 px — expected write fill: 0.1804*(255,241,118)+0.8196*(22,27,35) =
│ (46.0+18.03, 43.48+22.13, 21.29+28.69) = (64, 65.6, 50) → hmm, that's (64,66,50), not
│ (92,74,61).
│
│ (92,74,61)? Let me think… write fill over the read fill (overlapping bands): 0.
│ … [4227 more chars]
│
│ The fill is being rendered correctly (my target calculation was using the wrong background — the
│ canvas sits on top of `--bg-panel` #161b23). The fill colors match exactly: (32,57,73)=CPU fill,
│ (52,41,64)=GPU fill, (59,43,49)=read fill. However, the fill area looks small relative to the
│ band width — let me verify by cross-checking against the actual data:
│
│ bash curl -s http://127.0.0.1:8599/api/history | python3 - <<'EOF' import json, s… ok 0.0s
│ in
│ {
│ "command": "curl -s http://127.0.0.1:8599/api/history | python3 - <<'EOF'\nimport json,
│ sys, math\nd = json.load(sys.stdin)\nW, H = 404.0, 197.6 # chart area px\nper_win_x = W /
│ 200\nfor k in (\"cpu\", \"gpu\", \"mem_pct\", \"vram_pct\", \"io_read\", \"io_write\"):\n
│ s = d[\"series\"][k]\n span = [ (m - n) for m, n in zip(s[\"max\"], s[\"min\"]) if m is
│ not None and n is not None ]\n if not span:\n print(k, \"no data\")\n
│ continue\n area = sum(v / 100 for v in span) * H * per_win_x if k not in (\"io_read\",
│ \"io_write\") else sum(1 for _ in span) * 0\n # io: bytes scale unknown (auto), just
│ report span stats\n print(f\"{k}: n={len(span)} span_min={min(span):.1f}
│ span_avg={sum(span)/len(span):.1f} span_max={max(span):.1f} est_px={area:.0f}\")\nEOF",
│ "workdir": "/home/mac/Code/dashboard",
│ "timeout": 30000
│ }
│ out
│ Traceback (most recent call last):
│ File "<stdin>", line 2, in <module>
│ File "/usr/lib/python3.14/json/__init__.py", line 298, in load
│ return loads(fp.read(),
│ cls=cls, object_hook=object_hook,
│ parse_float=parse_float, parse_int=parse_int,
│ parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
│ File "/usr/lib/python3.14/json/__init__.py", line 352, in loads
│ return _default_decoder.decode(s)
│ ~~~~~~~~~~~~~~~~~~~~~~~^^^
│ File "/usr/lib/python3.14/json/decoder.py", line 345, in decode
│ obj, end = self.raw_decode(s, idx=_w(s, 0).end())
│ ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
│ File "/usr/lib/python3.14/json/decoder.py", line 363, in raw_decode
│ raise JSONDecodeError("Expecting value", s, err.value) from None
│ json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
│
│ tokens 612 in 3175 out 87554 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:35:40 • assistant • Qwen3.8-27B-Think
│
│ curl returned empty — is the shot server down? Or was the pipe closed early? Let me check the
│ server status. The previous probe worked fine, but the shot server was started a while ago, and
│ the buffer is... let me check if the server is still running.
│
│ bash curl -s -o /tmp/opencode/hist.json -w "%{http_code} %{size_download}\n" http… ok 0.0s
│ in
│ {
│ "command": "curl -s -o /tmp/opencode/hist.json -w \"%{http_code} %{size_download}\\n\"
│ http://127.0.0.1:8599/api/history; pgrep -af shot_server | head -2"
│ }
│ out
│ 200 79110
│ 85426 uv run python /tmp/opencode/shot_server.py
│ 85430 /home/mac/Code/dashboard/.venv/bin/python3 /tmp/opencode/shot_server.py
│
│ tokens 280 in 137 out 91340 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:35:46 • assistant • Qwen3.8-27B-Think
│
│ The server is running, and the endpoint is working (200, 79110 bytes). The earlier pipe failure
│ was temporary (probably `curl | python` raced). The file has been saved — let me analyze
│ /tmp/opencode/hist.json.
│
│ bash python3 - <<'EOF' import json d = json.load(open("/tmp/opencode/hist.json"))… ok 0.0s
│ in
│ {
│ "command": "python3 - <<'EOF'\nimport json\nd =
│ json.load(open(\"/tmp/opencode/hist.json\"))\nW, H = 404.0, 197.6\nper_win_x = W /
│ 200\nfor k in (\"cpu\", \"gpu\", \"mem_pct\", \"vram_pct\", \"io_read\", \"io_write\"):\n
│ s = d[\"series\"][k]\n span = [m - n for m, n in zip(s[\"max\"], s[\"min\"]) if m is
│ not None and n is not None]\n if not span:\n print(k, \"no data\"); continue\n
│ if k in (\"io_read\", \"io_write\"):\n print(f\"{k}: n={len(span)}
│ span_avg={sum(span)/len(span):.3e} span_max={max(span):.3e}\")\n else:\n area =
│ sum(v / 100 for v in span) * H * per_win_x\n print(f\"{k}: n={len(span)}
│ span_min={min(span):.1f} span_avg={sum(span)/len(span):.1f} est_px={area:.0f}\")\nEOF",
│ "timeout": 30000
│ }
│ out
│ cpu: n=200 span_min=1.8 span_avg=10.6 est_px=8460
│ gpu: n=200 span_min=0.0 span_avg=6.4 est_px=5116
│ mem_pct: n=200 span_min=0.1 span_avg=2.6 est_px=2080
│ vram_pct: n=200 span_min=0.0 span_avg=4.1 est_px=3296
│ io_read: n=200 span_avg=1.135e+08 span_max=3.206e+08
│ io_write: n=200 span_avg=5.067e+07 span_max=8.596e+07
│
│ tokens 66 in 357 out 91758 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:35:58 • assistant • Qwen3.8-27B-Think
│
│ Expected fill areas (cpu/mem charts, 0–100 scale):
│ - cpu: approx. 8460 px — observed 1556 px
│ - gpu: approx. 5116 px — observed 804 px
│ - mem_pct: approx. 2080 px — observed 329 px
│ - vram_pct: approx. 3296 px — observed 168 px
│
│ Observed ≈ 18% of expected... wait: 1556/8460 = 18.4%, 804/5116 = 15.7%, 329/2080 = 15.8%,
│ 168/3296 = 5.1%?? Hmm, the last one is off.
│
│ 18%?? That's... suspiciously close to the fill's alpha (0.18)!! Coincidence? No wait — it can't
│ be. Pixels are either painted or they aren't.
│
│ Hmm, wait. Maybe the fill is being drawn with alpha, and my tolerance of 12 is only capturing
│ pixels that are "fully" painted (single layer). Where the fill overlaps with gridlines, or where
│ two fills overlap, the color shifts beyond the tolerance. But that wouldn't reduce the count to
│ 18%.
│
│ Let me think from a different angle. What if the fill is only being drawn in some regions? For
│ example, **the fill is drawn between the max and min datasets, but the filler is being clipped
│ by the "first drawn" dataset's...**?
│
│ Hmm, wait a sec. Let me reconsider: what if the min/max lines themselves are being drawn as a
│ nearly-zero-width band? Because the min and max datasets are at nearly the same position?? No —
│ the span data shows cpu's span_avg = 10.6 units ≈ 21px height. The lines are definitely apart
│ (and in the histogram, the pure-color line pixels total about 330px + blends... hmm, actually
│ that's also small: cpu's 3 lines × 436px ≈ 1300px × 1–1.5px width ≈ 1500–2000px; observed pure
│ cyan is 210 + blends...).
│
│ Wait, actually — hmm, let me count the histogram's pure colors more carefully:
│ - (79,195,247) pure cyan: 210 px. A 436px-wide line with 1.5px width should be about 650+ px of
│ pure color. 210 is too few!
│ - (186,104,200) pure purple: 121 px. GPU's 3 lines (with gaps, 1/9 missing): about 1200px × 1px
│ ≈ 1200 × 0.89 ≈ 1000. Observed is 121?!
│
│ So even the lines are only about 1/5 of the expected pixel count. And the canvas is 436x191 =
│ 83,276 px, with the dominant color (22,2
│ … [2722 more chars]
│
│ The observed fill area is only about 15-18% of what's expected from the data spans. I'll measure
│ directly: grab the chart's `chartArea` and the data, then verify whether the fill color exists
│ along the vertical columns between the min and max y-positions of the known windows:
│
│ write /tmp/opencode/cdp/probe5.js ok 0.0s
│ in
│ {
│ "content": "const puppeteer = require(\"puppeteer-core\");\n\n(async () => {\n const
│ browser = await puppeteer.launch({\n executablePath: \"/usr/bin/chromium\",\n
│ headless: \"new\",\n args: [\"--no-sandbox\", \"--disable-gpu\",
│ \"--window-size=1440,1000\"],\n });\n const page = await browser.newPage();\n await
│ page.setViewport({ width: 1440, height: 1000 });\n await
│ page.goto(\"http://127.0.0.1:8599/\", { waitUntil: \"networkidle0\", timeout: 30000 });\n
│ await new Promise((r) => setTimeout(r, 5000));\n const info = await page.evaluate(async
│ () => {\n const d = await (await fetch(\"/api/history\")).json();\n const out =
│ [];\n for (const chart of Object.values(Chart.instances)) {\n out.push({ canvas:
│ chart.canvas.id, area: chart.chartArea });\n }\n return { areas: out, series: { cpu:
│ d.series.cpu, io_read: d.series.io_read, io_write: d.series.io_write }, pts: d.ts.length
│ };\n });\n const { areas, series } = info;\n for (const { canvas: id, area } of areas)
│ {\n if (id !== \"chart-cpu\") continue;\n const el = await page.$(\"#\" + id);\n
│ const buf = await el.screenshot({ encoding: \"binary\" });\n const png =
│ require(\"fs\").writeFileSync(\"/tmp/opencode/cpu-col.png\", buf);\n
│ console.log(\"saved cpu canvas\", area);\n console.log(JSON.stringify({ area,
│ cpuWindow: { max: series.cpu.max[100], min: series.cpu.min[100] }, ioWindow: { max:
│ series.io_read.max[100], min: series.io_read.min[100] } }));\n }\n await
│ browser.close();\n})();\n",
│ "filePath": "/tmp/opencode/cdp/probe5.js"
│ }
│ out Wrote file successfully.
│
│ tokens 193 in 2065 out 92180 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:37:15 • assistant • Qwen3.8-27B-Think
│
│ This has gotten complicated. Let me step back and think.
│
│ The chart state confirmed the following:
│ - All three charts have 200 labels, and all 6 datasets have n=200 each.
│ - fill=2 and fill=5 are correctly set.
│ - Legend is clean: ["CPU","GPU"], ["Memory","VRAM"], ["read","write"] — the band filter is now
│ working.
│ - No JS errors.
│
│ The pixel analysis showed that fills do exist (the "write fill: 11" issue was probably because
│ my fill color calculation for the io chart was wrong — io's y-axis is bytes, so the band is near
│ the bottom. Also, the background I assumed (28,35,48) might not match the actual card
│ background).
│
│ Let me check the color histogram:
│ - canvas-chart-cpu.png: dominant (22,27,35) — this is close to --bg-panel #161b23 = (22,27,35).
│ So the canvas background is #161b23 (the panel), not #1c2330 (the card) that I was assuming.
│ - (32,57,73): 1556 px — is this the CPU fill? CPU color #4fc3f7 = (79,195,247). Fill on
│ (22,27,35) at a=0.18: (0.18*79+0.82*22, 0.18*195+0.82*27, 0.18*247+0.82*35) = (14.2+18,
│ 35.1+22.1, 44.5+28.7) = (32.2, 57.2, 73.2) → (32,57,73). Exactly 1556px! So the CPU fill is
│ being drawn (1556 px).
│ - (52,41,64): 804 px — GPU fill: #ba68c8=(186,104,200): (0.18*186+18, 0.18*104+22.1,
│ 0.18*200+28.7)=(33.5+18, 18.7+22.1, 36+28.7)=(51.5,40.8,64.7)→(52,41,64). Exactly 804px! GPU
│ fill is being drawn.
│ - (79,195,247): 210 px — pure CPU line color (the 1.5px avg line + max/min lines).
│ - (186,104,200): 121 px — pure GPU line color.
│
│ So in the cpu chart: fill (cpu 1556, gpu 804) + lines (210, 121). Everything is being drawn!
│
│ - canvas-chart-io.png:
│ - (22,27,35): 55374 (background)
│ - (59,43,49): 6201 px — read fill? #e57373=(229,115,115) on (22,27,35): (0.18*229+18,
│ 0.18*115+22.1, 0.18*115+28.7)=(41.2+18,20.7+22.1,20.7+28.7)=(59.2,42.8,49.4)→(59,43,49).
│ Exactly 6201px! Read fill is being drawn.
│ - (92,74,61): 3343 px — write fill? #fff176=(255,241,118): (0.18*255+18, 0.18*241+22.1,
│ 0.18*118+28.7)=(46+18,43.4+22.1,21.2+28.7)=(64,65.5,49.9)→(64,66,50). Hm
│ … [1636 more chars]
│
│ The histogram confirms everything renders — my earlier "missing" was a false negative from using
│ the wrong background color (canvas sits on `--bg-panel` #161b23=(22,27,35), not the card color).
│ The fill pixels match exactly: CPU fill (32,57,73)=1556px, GPU fill (52,41,64)=804px, read fill
│ (59,43,49)=6201px. Let me do a clean all-canvas verification with the correct background:
│
│ bash python3 - <<'EOF' import math from PIL import Image from collections import … ok 0.0s
│ in
│ {
│ "command": "python3 - <<'EOF'\nimport math\nfrom PIL import Image\nfrom collections import
│ Counter\n\nbg = (22, 27, 35)\na = 0x2E / 255\ndef fill(c):\n return tuple(round(a * v +
│ (1 - a) * b) for v, b in zip(c, bg))\n\nCOLORS = {\n \"cpu\": (0x4F, 0xC3, 0xF7),
│ \"gpu\": (0xBA, 0x68, 0xC8),\n \"mem\": (0x81, 0xC7, 0x84), \"vram\": (0xFF, 0xB7,
│ 0x4D),\n \"read\": (0xE5, 0x73, 0x73), \"write\": (0xFF, 0xF1, 0x76),\n}\nPER_FILE =
│ {\n \"canvas-chart-cpu.png\": [\"cpu\", \"gpu\"],\n \"canvas-chart-mem.png\":
│ [\"mem\", \"vram\"],\n \"canvas-chart-io.png\": [\"read\", \"write\"],\n}\nok =
│ True\nfor fn, keys in PER_FILE.items():\n img = Image.open(\"/tmp/opencode/\" +
│ fn).convert(\"RGB\")\n px = img.load()\n w, h = img.size\n for k in keys:\n
│ line = COLORS[k]; fl = fill(line)\n ln = flc = 0\n for y in range(h):\n
│ for x in range(w):\n p = px[x, y]\n if math.dist(p, line) <=
│ 30: ln += 1\n if math.dist(p, fl) <= 12: flc += 1\n status = \"OK\"
│ if (ln > 50 and flc > 300) else \"MISSING\"\n if status == \"MISSING\": ok =
│ False\n print(f\"{fn:22s} {k:6s} line={ln:6d} fill={flc:6d}
│ {status}\")\nprint(\"ALL_BANDS_OK\" if ok else \"BANDS_MISSING\")\nEOF",
│ "timeout": 180000
│ }
│ out
│ canvas-chart-cpu.png cpu line= 901 fill= 2173 OK
│ canvas-chart-cpu.png gpu line= 461 fill= 1237 OK
│ canvas-chart-mem.png mem line= 382 fill= 264 MISSING
│ canvas-chart-mem.png vram line= 436 fill= 438 OK
│ canvas-chart-io.png read line= 1811 fill= 6754 OK
│ canvas-chart-io.png write line= 496 fill= 26 MISSING
│ BANDS_MISSING
│
│ tokens 21 in 2287 out 94437 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:38:29 • assistant • Qwen3.8-27B-Think
│
│ Two remaining "MISSING":
│ 1. **mem fill=264** — expected value is about 2080 px (from span calculation: span_avg=2.6 units
│ → the band is very narrow, about 5px tall). Hmm, wait: 264 px against an estimated 2080 px?
│ span_avg 2.6/100 × 197.6px × 2.02px/window × 200 windows = 2080 px. Observed value is 264.
│
│ Hmm, but wait — my estimate assumed the band's height spans the full 2.02px per window — which
│ is correct as an area. 264 vs 2080 = 13%.
│
│ 2. **write fill=26** — write's span_avg = 5.07e7 bytes. The io y-axis is autoscaled to max about
│ 3.2e8 (the read max). write's band: 5e7/3.2e8 ≈ 16% of height ≈ 31px... × 404px ≈ 12k px??
│ Observed value is 26.
│
│ Hmm, wait, that doesn't add up either. Let me check the histogram of the mem canvas and look at
│ the actual colors there. Same for io's write.
│
│ No — wait. Let me reconsider write: in the earlier histogram of the io canvas:
│ - (59,43,49): 6201 = read fill ✓
│ - (92,74,61): 3343 = ???
│ - (64,66,50) — expected write fill — was not in the top 14!
│ - (65,51,60): 270, (64,51,59): 137 — hmm.
│
│ (92,74,61): what combination gives this? write fill on top of read fill: 0.18*(255,241,118) +
│ 0.82*(59.2,42.8,49.4) = (46+48.5, 43.5+35.1, 21.3+40.5) = (94.5, 78.6, 61.8) → (95,79,62). Close
│ to (92,74,61) but not an exact match (off by about 3–5 per channel). With alpha blending on the
│ GPU's subpixel rounding, it should be within 1–2. Hmm, (92,74,61) vs (95,79,62): Δ=(3,5,1) —
│ borderline.
│
│ And pure write fill (64,66,50) over background (22,27,35) — not present in the top 14 (which was
│ cut off at 101px). Probably under 100 px.
│
│ Why is pure write fill almost nonexistent, while read fill is 6201? write = uniform(5e6, 90e6)
│ per sample; per window (9 samples): min≈5–10e6, max≈70–90e6 → the band spans from the bottom to
│ about 28% of the scale — a huge band, and it should cover almost the entire lower region...
│
│ Oh, wait. I got it!!! **The write fill is under the read fill!** Both bands start from the min
│ line (near 0 at the bottom)... no wait, the fill i
│ … [3311 more chars]
│
│ I need to investigate this further. Let me check the details. The write fill is explained: the
│ write band (0 to about 28% of the scale) is completely inside the read band (0 to about 60%),
│ and since it's drawn after the read fill, the color is composited (the 3343 px at (92,74,61) is
│ exactly the write-on-read blend). Let me verify whether the mem canvas fill color actually
│ exists in a larger quantity:
│
│ bash python3 - <<'EOF' from collections import Counter from PIL import Image impo… ok 0.0s
│ in
│ {
│ "command": "python3 - <<'EOF'\nfrom collections import Counter\nfrom PIL import
│ Image\nimport math\nimg =
│ Image.open(\"/tmp/opencode/canvas-chart-mem.png\").convert(\"RGB\")\nc =
│ Counter(img.getdata())\nprint(\"top colors:\")\nfor color, n in c.most_common(12):\n
│ print(\" \", color, n)\na = 0x2E / 255\nbg = (22, 27, 35)\nmem = tuple(round(a * v + (1 -
│ a) * b) for v, b in zip((0x81, 0xC7, 0x84), bg))\nvram = tuple(round(a * v + (1 - a) * b)
│ for v, b in zip((0xFF, 0xB7, 0x4D), bg))\nmem_on_vram = tuple(round(a * v + (1 - a) * b)
│ for v, b in zip((0x81, 0xC7, 0x84), vram))\nprint(\"expected mem fill:\", mem, \"count:\",
│ c.get(mem, 0))\nprint(\"expected vram fill:\", vram, \"count:\", c.get(vram,
│ 0))\nprint(\"mem-on-vram blend:\", mem_on_vram, \"count:\", c.get(mem_on_vram, 0))\nnear =
│ {k: v for k, v in c.items() if math.dist(k, mem) <= 25}\nprint(\"within 25 of mem fill:\",
│ sum(near.values()), near)\nEOF",
│ "timeout": 60000
│ }
│ out
│ <stdin>:5: DeprecationWarning: Image.Image.getdata is deprecated and will be removed in
│ Pillow 14 (2027-10-15). Use get_flattened_data instead.
│ top colors:
│ (22, 27, 35) 71218
│ (24, 30, 39) 719
│ (26, 33, 43) 673
│ (23, 29, 37) 417
│ (32, 39, 50) 408
│ (28, 35, 45) 404
│ (30, 37, 46) 356
│ (24, 29, 38) 354
│ (64, 55, 42) 206
│ (255, 183, 77) 151
│ (19, 24, 31) 122
│ (129, 199, 132) 108
│ expected mem fill: (41, 58, 52) count: 20
│ expected vram fill: (64, 55, 43) count: 0
│ mem-on-vram blend: (76, 81, 59) count: 0
│ within 25 of mem fill: 1985 {(54, 61, 72): 13, (47, 54, 65): 6, (42, 48, 59): 7, (40, 39,
│ 38): 5, (38, 44, 54): 15, (45, 51, 62): 7, (51, 59, 69): 8, (48, 55, 65): 5, (46, 54, 64):
│ 4, (50, 58, 69): 11, (44, 51, 61): 17, (34, 40, 49): 23, (32, 38, 47): 24, (41, 39, 38): 12,
│ (38, 44, 55): 5, (33, 39, 49): 9, (48, 55, 66): 4, (45, 52, 62): 6, (31, 38, 47): 3, (52,
│ 59, 70): 10, (46, 53, 63): 8, (53, 61, 72): 2, (51, 59, 70): 10, (49, 55, 66): 6, (37, 43,
│ 53): 8, (44, 50, 60): 1, (42, 49, 59): 8, (43, 50, 60): 4, (52, 59, 71): 9, (36, 42, 52): 3,
│ (33, 38, 49): 6, (39, 47, 56): 2, (31, 37, 45): 6, (46, 53, 64): 6, (40, 47, 56): 5, (48,
│ 56, 65): 1, (47, 53, 64): 1, (39, 45, 55): 12, (55, 62, 72): 10, (41, 48, 59): 3, (35, 40,
│ 50): 3, (37, 43, 52): 2, (50, 57, 68): 2, (35, 41, 50): 11, (36, 43, 51): 3, (47, 55, 65):
│ 1, (32, 39, 48): 6, (35, 42, 51): 14, (44, 51, 60): 3, (53, 60, 72): 3, (31, 42, 43): 13,
│ (43, 41, 38): 20, (42, 49, 58): 2, (35, 42, 52): 8, (40, 47, 57): 9, (47, 54, 64): 9, (33,
│ 39, 48): 9, (41, 47, 58): 4, (31, 38, 49): 1, (32, 39, 50): 408, (38, 45, 54): 1, (31, 37,
│ 46): 20, (35, 41, 51): 9, (36, 43, 52): 2, (48, 44, 39): 2, (54, 48, 40): 2, (61, 53, 41):
│ 1, (45, 43, 38): 3, (48, 44, 40): 1, (49, 44, 39): 2, (53, 48, 40): 9, (58, 50, 41): 1, (42,
│ 40, 37): 11, (45, 42, 38): 2, (43, 50, 59): 6, (54, 49, 40): 3, (44, 42, 38): 5, (47, 44,
│ 39): 4, (46, 43, 39): 5, (63, 54, 41): 6, (41, 38, 37): 2, (53, 47, 40): 6, (49, 44, 38): 5,
│ (55, 49, 39):
│ … [4465 more chars]
│
│ tokens 172 in 2420 out 96744 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:39:56 • assistant • Qwen3.8-27B-Think ERROR
│
│ Now it's clear. Looking at the mem canvas histogram:
│
│ - Expected mem fill (41,58,52): only 20 pixels at the exact match, but there's a whole gradient
│ of greenish fill colors: (38,53,49), (45,65,56), (51,76,63), (46,65,57), (50,74,61), (52,76,62),
│ (48,70,59), (41,59,53), (45,66,56), (44,64,56), (51,75,62), (47,69,59)...
│
│ These are the mem fill pixels, but the rendered fill is brighter/greener than my flat alpha
│ calculation. Why? Because **the fill is drawn on top of grid lines**, and on top of... wait no.
│ (51,76,63) vs expected (41,58,52): the difference is about (10,18,11) — that's much brighter. As
│ if the alpha were higher: solving 0.α*(129,199,132)+(1-α)*(22,27,35) = (51,76,63): from the G
│ channel: 199α+27(1-α)=76 → 172α=49 → α=0.285. Hmm, about 0.28, not 0.18.
│
│ Ah, wait. I get it! **The fill is being drawn twice** — once per overlapping... no, that's not
│ it. Or: **the mem fill is drawn on top of the VRAM fill**? VRAM fill = (64,55,43)-ish. Mem fill
│ on top of VRAM fill: 0.18*(129,199,132)+0.82*(64,55,43) = (23.2+52.5, 35.8+45.1, 23.8+35.3) =
│ (75.7, 80.9, 59.1) → (76,81,59). But the observed cluster is (51,76,63)-ish, not (76,81,59).
│
│ Hmm, so what gives (51,76,63)? If the alpha is about 0.28 over the background... or if the fill
│ is on top of a grid line: grid line color rgba(42,51,66,0.5) on top of background =
│ 0.5*(42,51,66)+0.5*(22,27,35) = (32,39,50.5) → (32,39,51). Then mem fill on top of that:
│ 0.18*(129,199,132)+0.82*(32,39,51) = (23.2+26.2, 35.8+32, 23.8+41.8) = (49.4, 67.8, 65.6) →
│ (49,68,66). Closer to (49,70,59)? Not really...
│
│ Hmm, wait. What about anti-aliased edges of the fill... no, that's only at the boundaries.
│
│ Let me reconsider: maybe my alpha is wrong! `backgroundColor: color + "2e"` — color is "#81c784"
│ → "#81c7842e". 8-digit hex: alpha = 0x2E = 46/255 = 0.180. That's what I used.
│
│ But — the observed values suggest an effective alpha of about 0.28 in the main fill region. What
│ if the fill is being drawn on top of something with a slightly brighte
│ … [8819 more chars]
│
│ error {"name":"MessageAbortedError","data":{"message":"Aborted"}}
│ 2026-08-30 18:43:36 • user
│
│ it looks like the bands are working correctly but you cannot verify because the average line is
│ running through them, please remove the average line
│ 2026-08-30 18:43:36 • assistant • Qwen3.8-27B-Think
│
│ The user is saying: "The bands look like they're working correctly, but I can't verify because
│ the average lines are running through them. Please remove the average lines."
│
│ In other words, they want me to remove the average lines and leave only the min/max bands.
│ Simple:
│
│ In `envelopeDs` in app.js, remove the avg dataset, and have each key return only 2 datasets (max
│ with fill, min). Then in `build`, the fill index becomes `i * 2 + 1` (max is at index i*2, min
│ is at i*2+1).
│
│ Wait — ordering: [max (fill→min), min]. For key i: max at index 2i, min at 2i+1. max.fill =
│ 2i+1.
│
│ Also about the legend: previously only the avg dataset had the "main" label, and the bands were
│ being filtered out by the `band` flag. If I remove the avg dataset, then the legend items would
│ be "CPU max"/"CPU min" etc. — I need to decide what to show in the legend. Options:
│ - Give the max dataset the key name's label (e.g., "CPU") and keep the min's label as "CPU min"?
│ And filter out the min from the legend? Hmm.
│ - Simpler: max dataset has label "CPU" (the visible legend entry, and its color box is also
│ correct), min dataset has label "CPU min" with the band flag → filtered from the legend. The
│ tooltip will show "CPU: value" (max) and "CPU min: value". Hmm, it'd be a bit nicer to have the
│ tooltip labels be "CPU max"/"CPU min".
│
│ Actually, let me think about what's most reasonable:
│ - Legend: should show "CPU", "GPU", "Memory", "VRAM", "read", "write" — same as the current
│ legend. So one labeled entry per key.
│ - Tooltip: it's useful to know which is the max and which is the min.
│
│ Let me do this: max dataset: label = name + " max" (tooltip shows "CPU max: 45.2"), min dataset:
│ label = name + " min". Legend: I need to show just one entry per key. If I filter out both bands
│ → the legend becomes empty! Not good.
│
│ Alternative: legend filter: show items whose text ends with " max" → the legend shows "CPU max",
│ "GPU max"... a bit verbose but acceptable? Hmm.
│
│ Or: max dataset label = name ("CPU"), min = name
│ … [3303 more chars]
│
│ edit /home/mac/Code/dashboard/static/js/app.js ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/static/js/app.js",
│ "oldString": " function envelopeDs(name, color, s) {\n s = s || {};\n return [\n
│ { label: name, data: s.avg || [], borderColor: color, backgroundColor: color, borderWidth:
│ 1.5, pointRadius: 0, tension: 0.25, fill: false, order: 0 },\n { label: name + \"
│ max\", band: true, data: s.max || [], borderColor: color, backgroundColor: color + \"2e\",
│ borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 2 },\n { label: name
│ + \" min\", band: true, data: s.min || [], borderColor: color, backgroundColor: color,
│ borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 1 },\n ];\n }",
│ "newString": " function envelopeDs(name, color, s) {\n s = s || {};\n return [\n
│ { label: name, data: s.max || [], borderColor: color, backgroundColor: color + \"2e\",
│ borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 0 },\n { label: name
│ + \" min\", band: true, data: s.min || [], borderColor: color, backgroundColor: color,
│ borderWidth: 1, pointRadius: 0, tension: 0, fill: false, order: 1 },\n ];\n }"
│ }
│ out Edit applied successfully.
│
│ tokens 69897 in 1866 out 35055 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) 3471938b
│ 2026-08-30 18:48:07 • assistant • Qwen3.8-27B-Think
│
│ Next, update the fill index calculation in build(): currently `ds[1].fill = i * 3 + 2`, but now
│ each key has 2 datasets: [max, min]. max is at index 2i, and min is at 2i+1. Therefore
│ `ds[0].fill = i * 2 + 1`.
│
│ edit /home/mac/Code/dashboard/static/js/app.js ok 0.0s
│ in
│ {
│ "filePath": "/home/mac/Code/dashboard/static/js/app.js",
│ "oldString": " pairs.forEach(([name, color, key], i) => {\n const ds =
│ envelopeDs(name, color, series[key]);\n ds[1].fill = i * 3 + 2;\n
│ chart.data.datasets.push(...ds);\n });",
│ "newString": " pairs.forEach(([name, color, key], i) => {\n const ds =
│ envelopeDs(name, color, series[key]);\n ds[0].fill = i * 2 + 1;\n
│ chart.data.datasets.push(...ds);\n });"
│ }
│ out Edit applied successfully.
│
│ tokens 18 in 246 out 106819 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) 56a57936
│ 2026-08-30 18:48:15 • assistant • Qwen3.8-27B-Think
│
│ Also, initCharts uses `envelopeDs` for the initial datasets — currently it returns 2 datasets
│ per key, but that's still fine (initial state is empty).
│
│ Next, re-verify with probe4 (this time the chart should have 4 datasets each: CPU, CPU min, GPU,
│ GPU min). And the legend should display ["CPU","GPU"].
│
│ After that, run the pixel check with the correct background (22,27,35). Since the avg line is
│ gone, the fill is no longer obstructed... well, actually the user's point was that the avg line
│ crossing the band made "it" hard to verify. Now the band is clean.
│
│ Let's run probe4 and the pixel check.
│
│ bash cd /tmp/opencode/cdp && node probe4.js 2>&1 | tail -5 ok 0.0s
│ in
│ {
│ "command": "cd /tmp/opencode/cdp && node probe4.js 2>&1 | tail -5",
│ "timeout": 90000
│ }
│ out
│ ERRORS: []
│ CHARTS: [{"canvas":"chart-cpu","labels":200,"ds":[["CPU",200,1],["CPU
│ min",200,false],["GPU",200,3],["GPU
│ min",200,false]],"legend":["CPU","GPU"]},{"canvas":"chart-mem","labels":200,"ds":[["Memory",
│ 200,1],["Memory min",200,false],["VRAM",200,3],["VRAM
│ min",200,false]],"legend":["Memory","VRAM"]},{"canvas":"chart-io","labels":200,"ds":[["read"
│ ,200,1],["read min",200,false],["write",200,3],["write
│ min",200,false]],"legend":["read","write"]}]
│
│ tokens 19 in 217 out 107083 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:48:34 • assistant • Qwen3.8-27B-Think
│
│ Now, each chart has exactly 4 datasets (max+fill, min per key), no errors, and the legend is
│ also clean. probe4 also saved new canvas screenshots (/tmp/opencode/canvas-chart-*.png). I'll
│ re-run the pixel check with the correct background (22,27,35).
│
│ Clean: 4 datasets per chart (max-with-fill + min), no errors, legends intact. Re-running the
│ pixel verification on the fresh canvases:
│
│ bash python3 - <<'EOF' import math from PIL import Image bg = (22, 27, 35) a = 0x… ok 0.0s
│ in
│ {
│ "command": "python3 - <<'EOF'\nimport math\nfrom PIL import Image\n\nbg = (22, 27, 35)\na
│ = 0x2E / 255\ndef fill(c):\n return tuple(round(a * v + (1 - a) * b) for v, b in zip(c,
│ bg))\n\nCOLORS = {\n \"cpu\": (0x4F, 0xC3, 0xF7), \"gpu\": (0xBA, 0x68, 0xC8),\n
│ \"mem\": (0x81, 0xC7, 0x84), \"vram\": (0xFF, 0xB7, 0x4D),\n \"read\": (0xE5, 0x73,
│ 0x73), \"write\": (0xFF, 0xF1, 0x76),\n}\nPER_FILE = {\n \"canvas-chart-cpu.png\":
│ [\"cpu\", \"gpu\"],\n \"canvas-chart-mem.png\": [\"mem\", \"vram\"],\n
│ \"canvas-chart-io.png\": [\"read\", \"write\"],\n}\nok = True\nfor fn, keys in
│ PER_FILE.items():\n img = Image.open(\"/tmp/opencode/\" + fn).convert(\"RGB\")\n px
│ = img.load()\n w, h = img.size\n for k in keys:\n line = COLORS[k]; fl =
│ fill(line)\n ln = flc = 0\n for y in range(h):\n for x in
│ range(w):\n p = px[x, y]\n if math.dist(p, line) <= 30: ln
│ += 1\n if math.dist(p, fl) <= 12: flc += 1\n # write band sits
│ inside read band: also count blended write-on-read pixels\n if k == \"write\":\n
│ blend = tuple(round(a * v + (1 - a) * b) for v, b in zip(line, fill(COLORS[\"read\"])))\n
│ for y in range(h):\n for x in range(w):\n p = px[x, y]\n
│ if math.dist(p, blend) <= 12: flc += 1\n status = \"OK\" if (ln > 50 and flc > 300)
│ else \"MISSING\"\n if status == \"MISSING\": ok = False\n print(f\"{fn:22s}
│ {k:6s} line={ln:6d} fill={flc:6d} {status}\")\nprint(\"ALL_BANDS_OK\" if ok else
│ \"BANDS_MISSING\")\nEOF",
│ "timeout": 180000
│ }
│ out
│ canvas-chart-cpu.png cpu line= 291 fill= 2606 OK
│ canvas-chart-cpu.png gpu line= 52 fill= 1574 OK
│ canvas-chart-mem.png mem line= 43 fill= 607 MISSING
│ canvas-chart-mem.png vram line= 43 fill= 903 MISSING
│ canvas-chart-io.png read line= 309 fill= 4863 OK
│ canvas-chart-io.png write line= 16 fill= 4593 MISSING
│ BANDS_MISSING
│
│ tokens 202 in 732 out 107318 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:48:59 • assistant • Qwen3.8-27B-Think ERROR
│
│ The bands are all there (fill counts are healthy: cpu 2606, gpu 1574, mem 607, vram 903, read
│ 4863, write 4593 including blend). The "MISSING" verdicts this time are caused by the LINE count
│ being low (43, 43, 16) — because the line is now just the edge of the band (max line 1px, min
│ line 1px) and there's no thicker avg line. A 1px antialiased line over a 436px width should be
│ around 400-800px... but observed is 43/16. Hmm.
│
│ Wait — line=43 for mem? A 1px line at 436px width should have at least ~300+ pure-color
│ pixels... unless the line is being drawn blended (thin line + antialiasing → pixels split
│ between 2-3 color levels, pure color is rare). A 1px line rotated at a shallow angle: pixels are
│ 50% line color / 50% background → distance from pure color is ~half the delta = still large. For
│ a 1px wide line, most pixels are a 50/50 blend → distance from pure color is ~60-70 → my
│ tolerance of 30 barely catches anything!
│
│ Previously with the avg line (1.5px), more pixels landed on pure color. For 1px lines, the
│ tolerance-30 test undercounts. That explains the line=43 (only the steepest segments, where a
│ vertical 1px line is drawn as fully-colored pixels).
│
│ So: the lines exist (as band borders — and the fill count confirms the band geometry matches the
│ data). Let me verify the line existence a different way: count pixels within a tolerance of 30
│ from either the pure line color or the 50/50 blend of line+bg. Or simply: accept the fill count
│ as proof (the fill region is bounded by exactly those min/max lines, and the fill count matches
│ the expected band area derived from the data: cpu 2606... hmm, earlier I estimated 8460 from the
│ span. Now it's 2606?).
│
│ Hmm, wait — cpu fill=2606, but from the span I estimated 8460px. Discrepancy remains (
│
│ error {"name":"MessageAbortedError","data":{"message":"Aborted"}}
│ 2026-08-30 18:49:27 • user
│
│ context compacted
│ 2026-08-30 18:49:27 • assistant • Qwen3.8-27B-Think @compaction
│
│ Let me analyze the conversation and create a structured summary.
│
│ Objective: The user wants to window-average/downsample chart data to reduce point count, then
│ changed to preserve peaks (min/max envelope bands), and now wants the average line removed.
│
│ Let me trace the key details:
│
│ 1. Original request: Charts jump around because too many datapoints. Window-average so at most
│ 200 points sent.
│ 2. User said "preserving peaks sounds better" → min/max envelope.
│ 3. User said "ok go" → implementation.
│ 4. User said "it looks like the bands are working correctly but you cannot verify because the
│ average line is running through them, please remove the average line"
│
│ Let me capture the important details:
│
│ Files modified:
│ - /home/mac/Code/dashboard/app/config.py — added `chart_max_points: int = 200`
│ - /home/mac/Code/dashboard/app/routers/overview.py — added `_window(snap, max_points)` helper,
│ changed `/api/history` to return `{ts, series: {k: {avg, min, max}}}` shape
│ - /home/mac/Code/dashboard/static/js/app.js — removed `downsampleIdx`, added `envelopeDs`,
│ rewrote `updateCharts`/`build`, LEGEND with filter, now removing avg line
│ - /home/mac/Code/dashboard/AGENTS.md — updated `/api/history` pitfall note
│
│ The current active work: just removed the avg line from `envelopeDs`. Need to update `build`
│ function fill index (was `i * 3 + 2`, now should be `i * 2 + 1` since each key now produces 2
│ datasets not 3). Let me check — the edit changed envelopeDs to return 2 datasets [max, min] with
│ max at index 0 (order 0), min at index 1 (order 1). The `build` function currently does:
│ ```
│ const ds = envelopeDs(name, color, series[key]);
│ ds[1].fill = i * 3 + 2;
│ ```
│ This is now WRONG because:
│ - envelopeDs now returns 2 datasets: [max (idx0), min (idx1)]
│ - fill should be on the max dataset (ds[0]) pointing to min (ds[1])
│ - index math: for key i, datasets start at i*2, max at i*2, min at i*2+1. So ds[0].fill = i*2+1
│
│ So the `build` function needs updating: `ds[0].fill = i * 2 + 1;` instead of `ds
│ … [4082 more chars]
│
│ ## Objective
│ - Downsample dashboard chart history so charts are smooth and peaks are preserved: window the
│ ring buffer to at most 200 points server-side and render each series as a min/max envelope band
│ (no avg line) in Chart.js.
│
│ ## Important Details
│ - Original ask: window-average to ≤200 points; user then switched to min/max envelope
│ ("preserving peaks sounds better"), approved plan ("ok go"), and now wants the avg line removed
│ (it obscures band verification).
│ - `/api/history` now returns `{"ts": [≤200], "series": {k: {"avg": [...], "min": [...], "max":
│ [...]}}}`; arrays null-padded to align with `ts` (AGENTS.md alignment rule preserved).
│ - Windowing: `w = max(1, ceil(n / max_points))`; one code path (n≤200 → w=1, avg=min=max).
│ All-int values stay int; floats round to 1 dp. Window ts = last sample's ts.
│ - Config: `chart_max_points: int = 200` (env `DASH_CHART_MAX_POINTS`), read via
│ `get_settings()`.
│ - Chart.js v4.4.1 vendored at `static/vendor/chart.umd.min.js`. Canvas sits on `--bg-panel`
│ #161b23 = RGB(22,27,35) (NOT card color). Fill alpha 0x2E/255 ≈ 0.18.
│ - Chart.js legend: `labels.filter(item, chartData)` — 2nd arg is `chart.data`; legend items
│ expose `datasetIndex` (NO `.dataset` prop; `item.dataset` is undefined and throws).
│ - Draw order: higher `order` drawn first (behind). Band fill is drawn as part of the max
│ dataset.
│ - basedpyright: 2 PRE-EXISTING "Cycle detected in import chain" errors in `app/__init__.py`
│ (confirmed pre-existing via `git stash`). No new errors introduced.
│ - Server restart (documented safe pattern): `PID=$(pgrep -f "python main\.py" | head -1); [ -n
│ "$PID" ] && kill "$PID"; sleep 1; setsid nohup uv run python main.py > /tmp/dash.log 2>&1 <
│ /dev/null & disown`
│ - Live server on port 8501 (PID 84742). Throwaway seeded screenshot server `shot_server.py` on
│ port 8599 (PIDs 85426/85430) — must be killed at end.
│ - puppeteer-core installed at `/tmp/opencode/cdp` (node) to drive `/usr/bin/chromium` and dump
│ `Chart.instances` state; cannot view PNGs directly, so verify via chart state + PIL pixel
│ histograms (system `python3` has PIL).
│
│ ## Work State
│ ### Completed
│ - `app/config.py`: added `chart_max_points: int = 200`.
│ - `app/routers/overview.py`: added `RowAgg` type + `_window(snap, max_points)` helper; rewrote
│ `history()` to window and emit `{avg,min,max}` per key with null padding.
│ - `static/js/app.js`: removed `downsampleIdx` + `newDs`; added `envelopeDs(name,color,s)`;
│ rewrote `updateCharts` with a `build(chart, pairs)` closure; `LEGEND` filter
│ `!data.datasets[item.datasetIndex]?.band`.
│ - `AGENTS.md`: updated `/api/history` pitfall line to describe window-averaging +
│ `{avg,min,max}` + null padding.
│ - Verified: `uv run python -m compileall -q app` → COMPILE_OK; basedpyright → only pre-existing
│ errors; `/tmp/opencode/test_window.py` → SYNTHETIC_OK (spike preserved, int/None/bool handling);
│ `/tmp/opencode/test_endpoint.py` (TestClient, 1800 seeded) → ENDPOINT_OK points: 200 keys: 3.
│ - Live check: all endpoints 200; `/api/history` → 200 points, 19 keys.
│ - probe4 (`/tmp/opencode/cdp/probe4.js`): `ERRORS: []`; all 3 charts 200 labels, 6 datasets ×
│ 200, legends `["CPU","GPU"]`/`["Memory","VRAM"]`/`["read","write"]`.
│ - Pixel verification (PIL, bg=(22,27,35)): bands + fills render correctly (e.g., CPU fill
│ (32,57,73), GPU fill (52,41,64), read fill (59,43,49); write band sits inside read band,
│ composited).
│ - Just removed the avg line: `envelopeDs` now returns 2 datasets — `[max (label=name,
│ backgroundColor=color+"2e", fill:false, order:0), min (label=name+" min", band:true, order:1)]`.
│
│ ### Active
│ - `envelopeDs` now returns 2 datasets (max, min) instead of 3, but `build()` in
│ `static/js/app.js` still does `ds[1].fill = i * 3 + 2;` — now WRONG. Max is dataset index 0 and
│ needs the fill; with 2 datasets/key the min index is `i * 2 + 1`. Must become `ds[0].fill = i *
│ 2 + 1;`.
│ - After that fix, re-verify charts (no errors, 4 datasets each for 2-key charts, legends clean)
│ and re-run pixel check.
│
│ ### Blocked
│ - (none) — only remaining inconsistency is the `build()` fill index arithmetic after removing
│ the avg line.
│
│ ## Next Move
│ 1. Edit `static/js/app.js` `build()`: change `ds[1].fill = i * 3 + 2;` → `ds[0].fill = i * 2 +
│ 1;`.
│ 2. Re-run `cd /tmp/opencode/cdp && node probe4.js` → expect `ERRORS: []`, each chart 4 datasets
│ (2 keys × 2), legends `["CPU","GPU"]`/`["Memory","VRAM"]`/`["read","write"]`, fill indices set
│ on the max dataset.
│ 3. Re-run the PIL pixel check (bg=(22,27,35), fill alpha 0x2E/255) over
│ `canvas-chart-{cpu,mem,io}.png` to confirm bands/fills still render without the avg line.
│ 4. Final live checks on port 8501: all endpoints 200, `/api/history` shape (`ts` ≤200, each key
│ has avg/min/max aligned to ts), `grep -c Traceback /tmp/dash.log`.
│ 5. Kill the shot server (`pkill -f shot_server.py` / PIDs 85426,85430) and clean up
│ `/tmp/opencode` temp artifacts.
│
│ ## Relevant Files
│ - `/home/mac/Code/dashboard/static/js/app.js`: chart rendering; `envelopeDs` (just changed to 2
│ datasets) and `build()` fill-index need to be consistent; `LEGEND` filter.
│ - `/home/mac/Code/dashboard/app/routers/overview.py`: `_window` helper + `history()` endpoint
│ (server-side avg/min/max, ≤200 points).
│ - `/home/mac/Code/dashboard/app/config.py`: `chart_max_points` setting.
│ - `/home/mac/Code/dashboard/AGENTS.md`: `/api/history` behavior note (updated).
│ - `/home/mac/Code/dashboard/app/state.py`: `HistoryStore` (deque maxlen 1800; `snapshot()`,
│ `record()`); test seeding uses `store._buf.append((t, s))`.
│ - `/home/mac/Code/dashboard/static/vendor/chart.umd.min.js`: Chart.js v4.4.1 (filler + legend
│ internals).
│ - `/tmp/opencode/cdp/probe4.js`, `/tmp/opencode/shot_server.py`,
│ `/tmp/opencode/check_pixels.py`, `/tmp/opencode/test_window.py`,
│ `/tmp/opencode/test_endpoint.py`: verification tooling.
│ - `/tmp/dash.log`: live server log (check for Traceback).
│
│ tokens 89298 in 3647 out 0 cached 0 written $0.0000 stop
│ 2026-08-30 18:56:24 • user
│
│ I verified the bands work like they should, you can skip verification. Start at position 4 of
│ your next moves and add an updated screenshot of the overview tab to the screenshots folder
│ (remove the old one)
│ 2026-08-30 18:56:24 • assistant • Qwen3.8-27B-Think
│
│ The user has confirmed that the bands are working, and said to skip verification. Starting from
│ item 4 of the next steps:
│
│ 4. Final live check on port 8501: all endpoints return 200, the shape of `/api/history` (`ts`
│ ≤200, each key's avg/min/max line up with ts), `grep -c Traceback /tmp/dash.log`.
│ 5. Terminate the shot server and clean up the temp artifacts.
│
│ Additionally: Add an updated screenshot of the Overview tab to the screenshots folder (delete
│ the old one).
│
│ First, check the contents of the screenshots folder to get a handle on the naming conventions.
│
│ bash ls -la screenshots/ 2>/dev/null; git log --oneline -3 2>/dev/null ok 0.0s
│ in
│ {
│ "command": "ls -la screenshots/ 2>/dev/null; git log --oneline -3 2>/dev/null",
│ "workdir": "/home/mac/Code/dashboard"
│ }
│ out
│ total 864
│ drwxr-xr-x 1 mac mac 244 30. Aug 00:39 .
│ drwxr-xr-x 1 mac mac 306 30. Aug 18:16 ..
│ -rw-r--r-- 1 mac mac 97682 30. Aug 00:38 Disks_20260830.png
│ -rw-r--r-- 1 mac mac 302170 30. Aug 00:38 Journal_20260830.png
│ -rw-r--r-- 1 mac mac 141147 30. Aug 00:37 Overview_20260830.png
│ -rw-r--r-- 1 mac mac 46279 30. Aug 00:39 Plugins_20260830.png
│ -rw-r--r-- 1 mac mac 127254 30. Aug 00:38 Processes_20260830.png
│ -rw-r--r-- 1 mac mac 158720 30. Aug 00:39 Services_20260830.png
│ 6fdfde8 Initial commit
│
│ tokens 14206 in 209 out 0 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:56:47 • assistant • Qwen3.8-27B-Think
│
│ The screenshot naming convention is `<Tab>_YYYYMMDD.png` — Overview_20260830.png. Today is
│ 2026-08-30, so I'll replace it with the same name (deleting the old one first, then writing the
│ new one).
│
│ Next, I'll run step 4: a live check against 8501. Then, I'll take a screenshot of the overview
│ tab on the live server (8501) and save it to screenshots/Overview_20260830.png.
│
│ Regarding the screenshot: using puppeteer against the real server at http://127.0.0.1:8501/,
│ wait for the charts to render (the charts start empty, and hx polling fills them in — I need to
│ wait for /api/history to arrive and the charts to be built. Also, the ring buffer on the live
│ server has real data — the number of points depends on the buffer size, and after a recent
│ restart the buffer might be small (w=1, fewer than 200 points). That's fine — the chart will
│ display whatever points exist. But wait — I restarted the server earlier, so the buffer has been
│ accumulating since then. The server was restarted at the start of this session, so… the buffer
│ has data for a few minutes. Enough for the screenshot.
│
│ Wait, actually — there's a subtle point: after the restart, has /api/history been fetched? The
│ page polls /api/overview via hx-trigger every 2 seconds, and updateCharts is called after each
│ overview fetch (hx-on:afterrequest). So if I wait about 5-8 seconds after loading, the charts
│ should be filled in.
│
│ Also, for a good screenshot: full page or viewport? The existing Overview_20260830.png is 141KB.
│ Let me take a look at it… I can't see it directly, but I can check its dimensions with PIL and
│ match the size. Let me check the dimensions of the old screenshot and match them.
│
│ First, let me run the step 4 check and check the dimensions of the old screenshot in parallel.
│
│ Old screenshot is `screenshots/Overview_20260830.png`. Running the final live checks and
│ checking the old screenshot's dimensions to match:
│
│ bash for ep in overview disks processes journal services plugins history; do prin… ok 0.0s
│ in
│ {
│ "command": "for ep in overview disks processes journal services plugins history; do printf
│ \"%s %s\\n\" \"$ep\" \"$(curl -s -o /dev/null -w \"%{http_code}\"
│ http://127.0.0.1:8501/api/$ep)\"; done; curl -s http://127.0.0.1:8501/api/history |
│ python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\nts=d['ts'];
│ n=len(ts)\nprint('ts:', n, 'series keys:', len(d['series']))\nbad=[k for k,v in
│ d['series'].items() if any(len(x)!=n for x in
│ (v['avg'],v['min'],v['max']))]\nprint('aligned:', 'YES' if not bad else bad)\"; grep -c
│ Traceback /tmp/dash.log",
│ "timeout": 30000
│ }
│ out
│ overview 200
│ disks 200
│ processes 200
│ journal 200
│ services 200
│ plugins 200
│ history 200
│ ts: 199 series keys: 19
│ aligned: YES
│ 0
│ bash python3 -c " from PIL import Image for f in ['Overview_20260830.png','Disks_… ok 0.0s
│ in
│ {
│ "command": "python3 -c \"\nfrom PIL import Image\nfor f in
│ ['Overview_20260830.png','Disks_20260830.png']:\n
│ im=Image.open('/home/mac/Code/dashboard/screenshots/'+f)\n print(f, im.size)\""
│ }
│ out
│ Overview_20260830.png (1671, 610)
│ Disks_20260830.png (1671, 707)
│
│ tokens 323 in 817 out 14416 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:57:06 • assistant • Qwen3.8-27B-Think
│
│ All checks passed:
│ - All endpoints 200
│ - /api/history: 199 points (buffer since restart), 19 keys, all consistent
│ - 0 Tracebacks
│
│ The old screenshot is 1671x610 — probably a full-page capture at some viewport. The width of
│ 1671 suggests either a viewport width of 1671 (odd number), or possibly a deviceScaleFactor
│ applied to some width. 1671 / 2 = 835.5, nope. Probably just the fullPage height (610) with a
│ wide viewport. Actually, fullPage captures use the viewport width for the width. So the viewport
│ width is 1671? Unusual. Maybe the viewport was set to some width and dpr was... Let's not
│ overthink this. I'll capture the overview tab with a similar viewport (width ~1671, full page)
│ and compare visually... though I can't see it. I'll go with width 1671, fullPage: true.
│
│ Hmm, wait — 1671 might be 1600 * something? No, that's not it. Let me check how the screenshot
│ was taken — maybe there's a script in the repo or in git history. Let me search the repo for a
│ screenshot script.
│
│ All live checks pass (all 200s, 199 pts aligned, 0 tracebacks). Let me check if there's an
│ existing screenshot script in the repo:
│
│ grep screenshot|puppeteer|chromium|playwright ok 0.0s
│ in
│ {
│ "pattern": "screenshot|puppeteer|chromium|playwright",
│ "path": "/home/mac/Code/dashboard",
│ "include": "*.{md,py,js,sh,json}"
│ }
│ out
│ Found 3 matches
│ /home/mac/Code/dashboard/README.md:
│ Line 12: | ![Overview](screenshots/Overview_20260830.png) |
│ ![Disks](screenshots/Disks_20260830.png) |
│
│ Line 14: | ![Processes](screenshots/Processes_20260830.png) |
│ ![Journal](screenshots/Journal_20260830.png) |
│
│ Line 16: | ![Services](screenshots/Services_20260830.png) |
│ ![Plugins](screenshots/Plugins_20260830.png) |
│
│ tokens 127 in 403 out 15557 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:57:17 • assistant • Qwen3.8-27B-Think
│
│ No screenshot script exists — probably it was manually taken earlier (before the session). I'll
│ take a new screenshot of the Overview tab on the running server (8501) using puppeteer, with a
│ viewport of width 1671, fullPage, and wait for the chart to fill in.
│
│ The Overview tab needs to be active (it's the default tab). Wait for /api/history to be called
│ and for the chart to have data (chart.data.labels.length > 0), and wait a bit for rendering.
│
│ Write the screenshot script: navigate to http://127.0.0.1:8501/, wait for a function where
│ Chart.instances exists and the first chart's labels are more than 0, wait about 1.5 seconds for
│ animation/rendering, then fullPage screenshot to /tmp/opencode/overview_new.png.
│
│ Note: the running server's buffer currently has about 199 points (started at restart, buffer cap
│ is 1800 at 2-second intervals = 1 hour). 199 points → w=1, all displayed. Good, the chart will
│ look reasonably filled.
│
│ Also, I should verify that the screenshot shows the new bands — I can't see it, but at least I
│ can confirm the pixel count of the band fill and verify that the capture contains the chart
│ region. Quick sanity check: count pixels near the fill color.
│
│ After that: delete the old screenshot, and copy the new one to
│ screenshots/Overview_20260830.png.
│
│ Wait — should the new screenshot be given the same name (today's date, same date)? Yes: the user
│ said "add an updated screenshot of the Overview tab to the screenshots folder (delete the old
│ one)." The old file is Overview_20260830.png (today's date). I'll delete it and write the new
│ one with the same name.
│
│ No existing script — capturing manually. Taking a fresh full-page screenshot of the Overview tab
│ from the live server, matching the old capture's width:
│
│ write /tmp/opencode/cdp/shot_overview.js ok 0.0s
│ in
│ {
│ "filePath": "/tmp/opencode/cdp/shot_overview.js",
│ "content": "const puppeteer = require('puppeteer-core');\n(async () => {\n const browser
│ = await puppeteer.launch({\n executablePath: '/usr/bin/chromium',\n args:
│ ['--no-sandbox', '--disable-gpu', '--hide-scrollbars'],\n defaultViewport: { width:
│ 1671, height: 900, deviceScaleFactor: 1 },\n });\n const page = await
│ browser.newPage();\n const errors = [];\n page.on('pageerror', (e) =>
│ errors.push(String(e)));\n await page.goto('http://127.0.0.1:8501/', { waitUntil:
│ 'networkidle0', timeout: 30000 });\n await page.waitForFunction(\n () => {\n
│ const c = Object.values(Chart.instances || {});\n return c.length >= 3 && c.every((x)
│ => x.data.labels.length > 5);\n },\n { timeout: 30000 },\n );\n await new
│ Promise((r) => setTimeout(r, 1500));\n const state = await page.evaluate(() => {\n
│ const c = Object.values(Chart.instances);\n return c.map((x) => ({ canvas: x.canvas.id,
│ labels: x.data.labels.length, ds: x.data.datasets.length }));\n });\n
│ console.log('CHARTS:', JSON.stringify(state));\n console.log('ERRORS:',
│ JSON.stringify(errors));\n await page.screenshot({ path:
│ '/tmp/opencode/overview_new.png', fullPage: true });\n await
│ browser.close();\n})().catch((e) => { console.error(e); process.exit(1); });\n"
│ }
│ out Wrote file successfully.
│
│ tokens 168 in 856 out 16088 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:57:36 • assistant • Qwen3.8-27B-Think
│
│ All live checks passed:
│ - All endpoints 200
│ - /api/history: 199 points, 19 keys, all aligned
│ - 0 Tracebacks
│
│ The old screenshot is 1671x610 (full page at width 1671). Now going to take a new screenshot of
│ the Overview tab from the running server.
│
│ All live checks pass: every endpoint 200, history 199 pts / 19 keys fully aligned, 0 tracebacks.
│ Now capturing the new Overview screenshot:
│
│ bash cd /tmp/opencode/cdp && node shot_overview.js ok 0.4s
│ in
│ {
│ "command": "cd /tmp/opencode/cdp && node shot_overview.js",
│ "timeout": 90000
│ }
│ out
│ CHARTS:
│ [{"canvas":"chart-cpu","labels":173,"ds":4},{"canvas":"chart-mem","labels":173,"ds":4},{"can
│ vas":"chart-io","labels":173,"ds":4}]
│ ERRORS: []
│
│ tokens 20 in 175 out 17112 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:57:46 • assistant • Qwen3.8-27B-Think
│
│ The screenshot has been taken to /tmp/opencode/overview_new.png. All three charts on the live
│ server have been filled (173 labels, 4 datasets each), with no errors.
│
│ I'll do a quick sanity check on the screenshot (size + whether the band fill is included), then
│ delete the old file and replace it.
│
│ bash python3 -c " from PIL import Image import math im = Image.open('/tmp/opencod… ok 0.0s
│ in
│ {
│ "command": "python3 -c \"\nfrom PIL import Image\nimport math\nim =
│ Image.open('/tmp/opencode/overview_new.png').convert('RGB')\nprint('size:', im.size)\npx =
│ im.load(); w, h = im.size\nbg = (22,27,35); a = 0x2E/255\ndef fill(c): return
│ tuple(round(a*v+(1-a)*b) for v,b in zip(c,bg))\ncounts = {}\nfor name, c in
│ [('cpu',(0x4F,0xC3,0xF7)),('gpu',(0xBA,0x68,0xC8)),('mem',(0x81,0xC7,0x84)),('vram',(0xFF,
│ 0xB7,0x4D)),('read',(0xE5,0x73,0x73)),('write',(0xFF,0xF1,0x76))]:\n fl = fill(c); n =
│ 0\n for y in range(0, h, 2):\n for x in range(0, w, 2):\n p =
│ px[x,y]\n if math.dist(p, fl) <= 12: n += 1\n counts[name] =
│ n\nprint('fills:', counts)\nprint('CHART_AREA_OK' if all(v > 50 for v in counts.values())
│ else 'MISSING')\"",
│ "timeout": 120000
│ }
│ out
│ size: (1671, 900)
│ fills: {'cpu': 306, 'gpu': 151, 'mem': 120, 'vram': 129, 'read': 46, 'write': 72}
│ MISSING
│
│ tokens 72 in 427 out 17307 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:57:57 • assistant • Qwen3.8-27B-Think
│
│ The screenshot size is 1671x900, but I expected fullPage to give a height of 610 like before.
│ Wait, the old one was 1671x610. The new one is 1671x900 — that's the viewport height, meaning
│ fullPage didn't expand (page content height = viewport height, or the page has a fixed height
│ with internal scrolling?). Actually, if fullPage: true, it should capture the entire scrollable
│ height. If the result is 900 (equal to viewport height), then the page's document height is 900
│ or less, i.e., the page isn't scrollable — the dashboard probably fits within a fixed-viewport
│ layout with internal scrolling within tabs.
│
│ Hmm, but the old screenshot was 610 in height at 1671 width. So the old capture was viewport
│ 1671x610, not fullPage (or the content was 610). The dashboard probably has a layout designed
│ for about 610px height (1671/610 ≈ 2.74 aspect ratio).
│
│ Wait — but is the new 900px height fine? The old one was 610. The README displays them in a
│ table. Height 610 vs 900 — the 900 capture may include empty space at the bottom, or the layout
│ may be stretched. The "fills" check: all 6 colors are present (306, 151, 120, 129, 46, 72) — the
│ bands are rendering in the capture. The reason my check said MISSING is that the threshold for
│ read was n>50 and read=46 (due to sampling every 2px, so the actual count is about 4x ≈ 184).
│ All 6 bands are present. So the chart is being captured correctly.
│
│ The concern is that the page height is 900 rather than 610. To match the old capture style, let
│ me capture with a viewport height of 610 to see how it looks — the dashboard layout probably
│ fits in 610px at width 1671 (designed as a single screen). The old capture is 610 tall. Let me
│ redo it with viewport height 610 (and fullPage: true). If the content is taller than 610,
│ fullPage will expand. Let me check the document's scroll height inside the page.
│
│ All six band fills are present (my threshold was just miscalibrated for 2px sampling). But the
│ capture height is 900 vs. the old 610 — let me check the page's natural height and recapture to
│ match the old framing:
│
│ bash cd /tmp/opencode/cdp && node -e " const puppeteer = require('puppeteer-core'… ok 0.1s
│ in
│ {
│ "command": "cd /tmp/opencode/cdp && node -e \"\nconst puppeteer =
│ require('puppeteer-core');\n(async () => {\n const browser = await puppeteer.launch({
│ executablePath: '/usr/bin/chromium', args: ['--no-sandbox','--disable-gpu'] ,
│ defaultViewport: { width: 1671, height: 610, deviceScaleFactor: 1 }});\n const page =
│ await browser.newPage();\n await page.goto('http://127.0.0.1:8501/', { waitUntil:
│ 'networkidle0', timeout: 30000 });\n const dims = await page.evaluate(() => ({ sh:
│ document.documentElement.scrollHeight, ih: document.documentElement.clientHeight, bodyH:
│ document.body.scrollHeight }));\n console.log(JSON.stringify(dims));\n await
│ browser.close();\n})().catch(e => { console.error(e); process.exit(1); });\"",
│ "timeout": 60000
│ }
│ out {"sh":610,"ih":610,"bodyH":532}
│
│ tokens 82 in 852 out 17805 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:58:22 • assistant • Qwen3.8-27B-Think
│
│ With a viewport height of 610, the page's scroll height is exactly 610 — meaning the dashboard
│ is designed to fit within a 1671x610 screen. The old screenshot was a 1671x610 viewport capture.
│ My 900-height capture just had extra blank space at the bottom (or the layout got stretched).
│
│ Re-capture with viewport 1671x610, fullPage:true (this gives 1671x610, same as the old one).
│
│ The page is designed to fit exactly 1671×610. Recapturing at that viewport:
│
│ bash cd /tmp/opencode/cdp && sed -i 's/width: 1671, height: 900/width: 1671, heig… ok 0.0s
│ in
│ {
│ "command": "cd /tmp/opencode/cdp && sed -i 's/width: 1671, height: 900/width: 1671,
│ height: 610/' shot_overview.js && node shot_overview.js && python3 -c \"\nfrom PIL import
│ Image\nim = Image.open('/tmp/opencode/overview_new.png')\nprint('size:', im.size)\"",
│ "timeout": 90000
│ }
│ out
│ CHARTS:
│ [{"canvas":"chart-cpu","labels":177,"ds":4},{"canvas":"chart-mem","labels":177,"ds":4},{"can
│ vas":"chart-io","labels":177,"ds":4}]
│ ERRORS: []
│ size: (1671, 610)
│
│ tokens 34 in 275 out 18740 cached 0 written $0.0000 tool-calls
│ 2026-08-30 18:58:34 • assistant • Qwen3.8-27B-Think
│
│ Got a new screenshot at exactly 1671×610, and all three charts are filled with 4 datasets each,
│ no errors. Next:
│ 1. Delete the old screenshot: screenshots/Overview_20260830.png
│ 2. Copy the new screenshot under the same name (today's date is the same: 20260830)
│
│ After that, cleanup (step 5): shut down the shot server and delete temporary artifacts.
│
│ Perfect match. Swapping in the new screenshot and cleaning up:
│
│ bash rm screenshots/Overview_20260830.png && cp /tmp/opencode/overview_new.png sc… ok 0.0s
│ in
│ {
│ "command": "rm screenshots/Overview_20260830.png && cp /tmp/opencode/overview_new.png
│ screenshots/Overview_20260830.png && ls -la screenshots/",
│ "workdir": "/home/mac/Code/dashboard"
│ }
│ out
│ total 820
│ drwxr-xr-x 1 mac mac 244 30. Aug 18:58 .
│ drwxr-xr-x 1 mac mac 306 30. Aug 18:16 ..
│ -rw-r--r-- 1 mac mac 97682 30. Aug 00:38 Disks_20260830.png
│ -rw-r--r-- 1 mac mac 302170 30. Aug 00:38 Journal_20260830.png
│ -rw-r--r-- 1 mac mac 94874 30. Aug 18:58 Overview_20260830.png
│ -rw-r--r-- 1 mac mac 46279 30. Aug 00:39 Plugins_20260830.png
│ -rw-r--r-- 1 mac mac 127254 30. Aug 00:38 Processes_20260830.png
│ -rw-r--r-- 1 mac mac 158720 30. Aug 00:39 Services_20260830.png
│
│ tokens 86 in 205 out 19049 cached 0 written $0.0000 tool-calls
│
│ patch 1 file(s) a7cf6ff8
│ 2026-08-30 18:58:39 • assistant • Qwen3.8-27B-Think
│
│ Next up is step 5: shut down the shot server (PIDs 85426/85430, shot_server.py on port 8599) and
│ clean up the temporary artifacts inside /tmp/opencode.
│
│ Careful: don't kill the real server on port 8501. Use pkill -f shot_server.py (specific
│ pattern), and also run pgrep first to be safe.
│
│ Now killing the throwaway shot server (port 8599) and cleaning up temp artifacts — being careful
│ not to touch the real server:
│
│ bash pgrep -af shot_server.py; pkill -f shot_server.py; sleep 1; pgrep -af shot_s… ERR 120.1s
│ in
│ {
│ "command": "pgrep -af shot_server.py; pkill -f shot_server.py; sleep 1; pgrep -af
│ shot_server.py || echo \"shot server stopped\"; pgrep -af \"python main\\.py\""
│ }
│ err Unknown: ChildProcess.kill (pgrep -af shot_server.py; pkill -f shot_server.py; sleep 1;
│ pgrep -af shot_server.py || echo "shot server stopped"; pgrep -af "python main\.py" )
│
│ tokens 318 in 194 out 19339 cached 0 written $0.0000 tool-calls
│ 2026-08-30 19:00:45 • assistant • Qwen3.8-27B-Think
│
│ Weird output — "Unknown: ChildProcess.kill (...)" — looks like pkill matched the shell command
│ line that contained the pattern "shot_server.py" (the full command string includes the text
│ "shot_server.py"), and it killed its own shell! Same pitfall as pkill -f "uv run python main.py"
│ that was mentioned in AGENTS.md. The shell was killed before it could complete.
│
│ Let me check the state: is shot_server.py dead? Is the real server still running?
│
│ The pkill pattern matched its own shell command line and killed the session (same pitfall as in
│ AGENTS.md). Checking state:
│
│ bash pgrep -a python | grep -E "shot_server|main" ; echo "---"; curl -s -o /dev/n… ok 0.0s
│ in
│ {
│ "command": "pgrep -a python | grep -E \"shot_server|main\" ; echo \"---\"; curl -s -o
│ /dev/null -w \"8501: %{http_code}\\n\" http://127.0.0.1:8501/api/overview; curl -s -o
│ /dev/null -w \"8599: %{http_code}\\n\" --max-time 2 http://127.0.0.1:8599/ || echo \"8599:
│ down\""
│ }
│ out
│ 84746 /home/mac/Code/dashboard/.venv/bin/python3 main.py
│ ---
│ 8501: 200
│ 8599: 000
│ 8599: down
│
│ tokens 65 in 274 out 19852 cached 0 written $0.0000 tool-calls
│ 2026-08-30 19:00:52 • assistant • Qwen3.8-27B-Think
│
│ The situation is clear:
│ - shot_server.py is dead (8599 is down) — pkill did succeed in killing it before killing my own
│ shell
│ - The real server (PID 84746, main.py on port 8501) is alive and healthy (200)
│
│ Next, I'll clean up the temporary artifacts inside /tmp/opencode. Let me check the contents and
│ delete them.
│
│ Shot server is dead (8599 down), real server healthy (8501 → 200). Cleaning up temp artifacts:
│
│ bash rm -rf /tmp/opencode && ls /tmp/opencode 2>&1; echo "cleanup done" ok 0.0s
│ in
│ {
│ "command": "rm -rf /tmp/opencode && ls /tmp/opencode 2>&1; echo \"cleanup done\""
│ }
│ out
│ ls: cannot access '/tmp/opencode': No such file or directory
│ cleanup done
│
│ tokens 63 in 173 out 20191 cached 0 written $0.0000 tool-calls
│ 2026-08-30 19:00:56 • assistant • Qwen3.8-27B-Think
│
│ All done:
│
│ 1. ✅ Fixed the fill index in build() (`ds[0].fill = i * 2 + 1`) — consistent with the 2-dataset
│ envelopeDs
│ 2. ✅ Re-verified the chart (probe4: no errors, 4 datasets per chart, legend is clean) — user
│ said skip further verification
│ 3. ✅ (Skipped pixel check per user's instruction)
│ 4. ✅ Live check: all 7 endpoints return 200, /api/history is 199 points / 19 keys, all aligned,
│ Traceback count is 0
│ 5. ✅ Replaced the screenshot: deleted the old screenshots/Overview_20260830.png and took a new
│ one at 1671×610 from the live server (chart is populated with 177 labels × 4 datasets, no
│ errors)
│ 6. ✅ Killed the shot server, cleaned up /tmp/opencode
│
│ Note: git status — the user didn't ask to commit. Modified files: app/config.py,
│ app/routers/overview.py, static/js/app.js, AGENTS.md, screenshots/Overview_20260830.png. Don't
│ commit unless asked.
│
│ Concise summary.
│
│ Done. Final state:
│
│ - **`static/js/app.js`** — `build()` fill index fixed (`ds[0].fill = i * 2 + 1`) to match the
│ 2-dataset envelope (max-with-fill + min per key); no avg line.
│ - **Live checks** — all 7 endpoints 200, `/api/history` 199 pts × 19 keys fully aligned, 0
│ tracebacks in `/tmp/dash.log`.
│ - **Screenshot** — removed old `screenshots/Overview_20260830.png`, replaced with a fresh
│ 1671×610 capture of the live Overview tab (all 3 charts populated, envelope bands rendering, no
│ console errors).
│ - **Cleanup** — throwaway shot server (8599) killed, real server (8501) untouched and healthy,
│ `/tmp/opencode` temp artifacts removed.
│
│ Uncommitted changes: `app/config.py`, `app/routers/overview.py`, `static/js/app.js`,
│ `AGENTS.md`, `screenshots/Overview_20260830.png`.
│
│ tokens 31 in 514 out 20428 cached 0 written $0.0000 stop
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