mac 2026-08-29 20:20:18 → now 1 session(s) Session Started Where Title RutnbU 2026-08-30 19:51 Code/dashboard Refactor sample dicts to Sample class ⚑ ❬RutnbU❭ Refactor sample dicts to Sample class ~/Code/dashboard ──────────────────────────────────────────────────────────────────────────────────────────────────── │ 2026-08-30 19:51:23 • user │ │ The samples that are collected in the internal buffers are passed around as various kinds of │ `dict` types. Refactor to use a `Sample` class to make type safety better to understand. │ 2026-08-30 19:51:23 • assistant • Qwen3.8-27B-Think @plan │ │ Let me start by understanding the codebase structure and how the samples flow through it. This │ is a plan mode, so I'm in the read-only phase. Let me explore the codebase to understand the │ current state of the sample dictionaries. │ │ Let me look at the key files mentioned in AGENTS.md: │ - `app/collect/*` — collectors │ - `app/sampling.py` — runs collectors into ring buffer │ - `app/state.py` — in-memory ring buffer │ │ Let me start by exploring these files and understanding the flow of the dict samples. │ │ Let me read the relevant files. I'll batch these reads together. │ │ I'll explore the codebase to understand how samples flow through the system before proposing a │ plan. │ │ read /home/mac/Code/dashboard/app/sampling.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/sampling.py" │ } │ out │ /home/mac/Code/dashboard/app/sampling.py │ file │ │ 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) │ │ read /home/mac/Code/dashboard/app/state.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/state.py" │ } │ out │ /home/mac/Code/dashboard/app/state.py │ file │ │ 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) │ │ glob app/**/*.py ok 0.0s │ in │ { │ "pattern": "app/**/*.py" │ } │ out │ /home/mac/Code/dashboard/app/config.py │ /home/mac/Code/dashboard/app/state.py │ /home/mac/Code/dashboard/app/main.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/plugins/llamacpp.py │ /home/mac/Code/dashboard/app/plugins/base.py │ /home/mac/Code/dashboard/app/plugins/__init__.py │ /home/mac/Code/dashboard/app/routers/disks.py │ /home/mac/Code/dashboard/app/routers/processes.py │ /home/mac/Code/dashboard/app/routers/journal.py │ /home/mac/Code/dashboard/app/systemd/units.py │ /home/mac/Code/dashboard/app/systemd/__init__.py │ /home/mac/Code/dashboard/app/routers/services.py │ /home/mac/Code/dashboard/app/routers/__init__.py │ /home/mac/Code/dashboard/app/routers/plugins.py │ /home/mac/Code/dashboard/app/routers/overview.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/collect/power.py │ /home/mac/Code/dashboard/app/collect/__init__.py │ /home/mac/Code/dashboard/app/collect/net.py │ /home/mac/Code/dashboard/app/collect/procs.py │ /home/mac/Code/dashboard/app/collect/disks.py │ │ tokens 9233 in 246 out 0 cached 0 written $0.0000 tool-calls │ 2026-08-30 19:51:47 • assistant • Qwen3.8-27B-Think @plan │ │ Let me read all the collector files and the render/routers that consume samples. │ │ Let me read all the collectors and the consumers of the sample data. │ │ read /home/mac/Code/dashboard/app/collect/cpu.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/cpu.py" │ } │ out │ /home/mac/Code/dashboard/app/collect/cpu.py │ file │ │ 1: import glob │ 2: │ 3: import psutil │ 4: │ 5: _temp_path: str | None = None │ 6: _temp_checked = False │ 7: │ 8: │ 9: def _read(path: str) -> str | None: │ 10: try: │ 11: with open(path) as f: │ 12: return f.read().strip() │ 13: except OSError: │ 14: return None │ 15: │ 16: │ 17: def _find_temp_path() -> str | None: │ 18: for hwmon in sorted(glob.glob("/sys/class/hwmon/hwmon*")): │ 19: name = (_read(f"{hwmon}/name") or "").lower() │ 20: if name in ("k10temp", "coretemp", "cpu_thermal"): │ 21: for t in sorted(glob.glob(f"{hwmon}/temp*_input")): │ 22: return t │ 23: return None │ 24: for zone in sorted(glob.glob("/sys/class/thermal/thermal_zone*")): │ 25: if (_read(f"{zone}/type") or "").lower() == "acpitz": │ 26: return f"{zone}/temp" │ 27: return None │ 28: │ 29: │ 30: def temp() -> float | None: │ 31: global _temp_path, _temp_checked │ 32: if not _temp_checked: │ 33: _temp_checked = True │ 34: _temp_path = _find_temp_path() │ 35: if _temp_path is None: │ 36: return None │ 37: v = _read(_temp_path) │ 38: if not v: │ 39: return None │ 40: try: │ 41: n = float(v) │ 42: except ValueError: │ 43: return None │ 44: return round(n / 1000.0, 1) │ 45: │ 46: │ 47: def prime() -> None: │ 48: _ = psutil.cpu_percent(None) │ 49: │ 50: │ 51: def core_count() -> int: │ 52: return psutil.cpu_count(logical=True) or 1 │ 53: │ 54: │ 55: def sample() -> dict[str, float]: │ 56: out: dict[str, float] = {"cpu": psutil.cpu_percent(None)} │ 57: t = temp() │ 58: if t is not None: │ 59: out["cpu_temp"] = t │ 60: l1, l5, l15 = psutil.getloadavg() │ 61: out["load1"] = l1 │ 62: out["load5"] = l5 │ 63: out["load15"] = l15 │ 64: return out │ │ (End of file - total 64 lines) │ │ read /home/mac/Code/dashboard/app/collect/mem.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/mem.py" │ } │ out │ /home/mac/Code/dashboard/app/collect/mem.py │ file │ │ 1: import psutil │ 2: │ 3: │ 4: def sample() -> dict[str, int | float]: │ 5: v = psutil.virtual_memory() │ 6: s = psutil.swap_memory() │ 7: return { │ 8: "mem_used": v.used, │ 9: "mem_total": v.total, │ 10: "mem_pct": v.percent, │ 11: "swap_used": s.used, │ 12: "swap_total": s.total, │ 13: "swap_pct": s.percent, │ 14: } │ │ (End of file - total 14 lines) │ │ read /home/mac/Code/dashboard/app/collect/gpu.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/gpu.py" │ } │ out │ /home/mac/Code/dashboard/app/collect/gpu.py │ file │ │ 1: import glob │ 2: import re │ 3: import shutil │ 4: import subprocess │ 5: from typing import Any │ 6: │ 7: _name_cache: str | None = None │ 8: │ 9: │ 10: def _read(path: str) -> str | None: │ 11: try: │ 12: with open(path) as f: │ 13: return f.read().strip() │ 14: except OSError: │ 15: return None │ 16: │ 17: │ 18: def _shorten(name: str) -> str: │ 19: name = re.sub(r"\s*\(rev.*\)$", "", name).strip() │ 20: groups = re.findall(r"\[([^\]]+)\]", name) │ 21: if len(groups) >= 2: │ 22: brand = groups[0] │ 23: series = groups[-1].split(" / ")[0] │ 24: model = name.split("]", 1)[1].split("[", 1)[0].strip() │ 25: return f"{brand} {model} ({series})".strip() │ 26: return name[:50] │ 27: │ 28: │ 29: def _gpu_name() -> str: │ 30: global _name_cache │ 31: if _name_cache is None: │ 32: _name_cache = "GPU" │ 33: if shutil.which("lspci"): │ 34: try: │ 35: out = subprocess.run( │ 36: ["lspci"], capture_output=True, text=True, timeout=5, check=False │ 37: ).stdout │ 38: for line in out.splitlines(): │ 39: if "VGA" in line or "3D controller" in line: │ 40: _name_cache = _shorten(line.split(":", 2)[-1].strip()) │ 41: break │ 42: except (OSError, subprocess.SubprocessError): │ 43: pass │ 44: return _name_cache │ 45: │ 46: │ 47: def _amd_sample() -> dict[str, Any] | None: │ 48: devices = sorted(glob.glob("/sys/class/drm/card[0-9]*/device/gpu_busy_percent")) │ 49: if not devices: │ 50: return None │ 51: busy_sum = 0 │ 52: count = 0 │ 53: vram_used = 0 │ 54: vram_total = 0 │ 55: temps: list[float] = [] │ 56: for busy_path in devices: │ 57: dev = busy_path.rsplit("/", 1)[0] │ 58: try: │ 59: busy_sum += int(_read(busy_path) or 0) │ 60: count += 1 │ 61 │ … [2829 more chars] │ read /home/mac/Code/dashboard/app/collect/power.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/power.py" │ } │ out │ /home/mac/Code/dashboard/app/collect/power.py │ file │ │ 1: import glob │ 2: from typing import Any │ 3: │ 4: _PS = "/sys/class/power_supply" │ 5: │ 6: │ 7: def _read(path: str) -> str | None: │ 8: try: │ 9: with open(path) as f: │ 10: return f.read().strip() │ 11: except OSError: │ 12: return None │ 13: │ 14: │ 15: def _supplies() -> list[tuple[str, str]]: │ 16: out: list[tuple[str, str]] = [] │ 17: for p in sorted(glob.glob(f"{_PS}/*")): │ 18: t = _read(f"{p}/type") │ 19: if t: │ 20: out.append((t.lower(), p)) │ 21: return out │ 22: │ 23: │ 24: def sample() -> dict[str, Any | None]: │ 25: out: dict[str, Any | None] = {"battery": None, "battery_status": None, "ac_online": │ None} │ 26: try: │ 27: supplies = _supplies() │ 28: for t, p in supplies: │ 29: if t == "battery" and _read(f"{p}/present") == "1": │ 30: cap = _read(f"{p}/capacity") │ 31: if cap is not None: │ 32: try: │ 33: out["battery"] = int(cap) │ 34: except ValueError: │ 35: pass │ 36: out["battery_status"] = _read(f"{p}/status") │ 37: break │ 38: for t, p in supplies: │ 39: if t == "mains" and _read(f"{p}/online") == "1": │ 40: out["ac_online"] = True │ 41: break │ 42: if out["ac_online"] is None: │ 43: for t, p in supplies: │ 44: if t == "usb" and _read(f"{p}/online") == "1": │ 45: out["ac_online"] = True │ 46: break │ 47: except OSError: │ 48: pass │ 49: return out │ │ (End of file - total 49 lines) │ │ read /home/mac/Code/dashboard/app/collect/disks.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/disks.py" │ } │ out │ /home/mac/Code/dashboard/app/collect/disks.py │ file │ │ 1: from typing import Any │ 2: │ 3: import psutil │ 4: from psutil._ntuples import sdiskio │ 5: │ 6: │ 7: def counters() -> dict[str, sdiskio]: │ 8: return psutil.disk_io_counters(perdisk=True) or {} │ 9: │ 10: │ 11: def rates(prev: dict[str, sdiskio], dt: float) -> dict[str, float]: │ 12: cur = counters() │ 13: r = 0 │ 14: w = 0 │ 15: for name, c in cur.items(): │ 16: p = prev.get(name) │ 17: if p is not None and dt > 0: │ 18: r += max(0, int(c.read_bytes) - int(p.read_bytes)) │ 19: w += max(0, int(c.write_bytes) - int(p.write_bytes)) │ 20: return {"io_read": r / dt if dt > 0 else 0.0, "io_write": w / dt if dt > 0 else 0.0} │ 21: │ 22: │ 23: def partitions() -> list[dict[str, Any]]: │ 24: groups: dict[str, dict[str, Any]] = {} │ 25: order: list[str] = [] │ 26: for p in psutil.disk_partitions(all=False): │ 27: if p.device in groups: │ 28: g = groups[p.device] │ 29: if p.mountpoint not in g["mounts"]: │ 30: g["mounts"].append(p.mountpoint) │ 31: continue │ 32: try: │ 33: u = psutil.disk_usage(p.mountpoint) │ 34: except (OSError, PermissionError): │ 35: continue │ 36: g = { │ 37: "device": p.device, │ 38: "fstype": p.fstype, │ 39: "total": u.total, │ 40: "used": u.used, │ 41: "free": u.free, │ 42: "pct": u.percent, │ 43: "mounts": [p.mountpoint], │ 44: } │ 45: groups[p.device] = g │ 46: order.append(p.device) │ 47: out = [groups[d] for d in sorted(order)] │ 48: for g in out: │ 49: g["mounts"] = sorted(g["mounts"]) │ 50: mounts = g["mounts"] │ 51: if len(mounts) > 3: │ 52: g["mounts_disp"] = " · ".join(mounts[:3]) + f" +{len(mounts) - 3} more" │ 53: else: │ 54: g["mounts_disp"] = " · ".join(mounts) │ 55: return out │ │ (End of file │ … [28 more chars] │ read /home/mac/Code/dashboard/app/collect/net.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/net.py" │ } │ out │ /home/mac/Code/dashboard/app/collect/net.py │ file │ │ 1: import glob │ 2: import re │ 3: import shutil │ 4: import socket │ 5: import subprocess │ 6: import time │ 7: from typing import Any │ 8: │ 9: import psutil │ 10: │ 11: _wifi_cache: dict[str, tuple[float, str | None]] = {} │ 12: _WIFI_TTL = 15.0 │ 13: _SSID_RE = re.compile(r"SSID:\s+(\S.*)") │ 14: │ 15: │ 16: def _wifi_ifaces() -> set[str]: │ 17: return {p.split("/")[-2] for p in glob.glob("/sys/class/net/*/wireless")} │ 18: │ 19: │ 20: def _ssid(iface: str) -> str | None: │ 21: hit = _wifi_cache.get(iface) │ 22: now = time.monotonic() │ 23: if hit is not None and now - hit[0] < _WIFI_TTL: │ 24: return hit[1] │ 25: ssid: str | None = None │ 26: if shutil.which("iw"): │ 27: try: │ 28: out = subprocess.run( │ 29: ["iw", "dev", iface, "link"], capture_output=True, text=True, timeout=3, │ check=False │ 30: ).stdout │ 31: m = _SSID_RE.search(out) │ 32: if m: │ 33: ssid = m.group(1).strip().strip('"') or None │ 34: except (OSError, subprocess.SubprocessError): │ 35: pass │ 36: _wifi_cache[iface] = (now, ssid) │ 37: return ssid │ 38: │ 39: │ 40: def sample() -> dict[str, Any | None]: │ 41: addrs = psutil.net_if_addrs() │ 42: stats = psutil.net_if_stats() │ 43: wifi_set = _wifi_ifaces() │ 44: ifaces: list[dict[str, Any]] = [] │ 45: wifi: dict[str, Any] | None = None │ 46: for name in sorted(addrs): │ 47: if name == "lo": │ 48: continue │ 49: st = stats.get(name) │ 50: if st is None or not bool(st.isup): │ 51: continue │ 52: ipv4 = [a.address for a in addrs[name] if a.family == socket.AF_INET] │ 53: ifaces.append({"name": name, "ipv4": ipv4}) │ 54: if name in wifi_set and wifi is None: │ 55: wifi = {"iface": name, "ssid": _ssid(name)} │ 56: return {"net_ifaces": ifaces, "net_wifi": wifi} │ │ (End of file - total 56 lines) │ │ │ tokens 930 in 241 out 9478 cached 0 written $0.0000 tool-calls │ 2026-08-30 19:51:53 • assistant • Qwen3.8-27B-Think @plan │ │ Now let me look at the consumers - render.py, overview.py, and the other routers that use the │ samples. Let me also look at main.py. │ │ Now let me read the consumers of the sample data: render, overview, and the other routers. │ │ read /home/mac/Code/dashboard/app/render.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/render.py" │ } │ out │ /home/mac/Code/dashboard/app/render.py │ file │ │ 1: from datetime import timedelta │ 2: from pathlib import Path │ 3: from typing import Any │ 4: │ 5: from jinja2 import Environment, FileSystemLoader, select_autoescape │ 6: │ 7: BASE = Path(__file__).resolve().parent.parent │ 8: │ 9: │ 10: def humanize(value: float | str | None) -> str: │ 11: if value is None: │ 12: return "—" │ 13: n = float(value) │ 14: for unit in ("B", "KiB", "MiB", "GiB", "TiB"): │ 15: if abs(n) < 1024 or unit == "TiB": │ 16: if unit == "B": │ 17: return f"{int(n)} B" │ 18: return f"{n:.1f} {unit}" │ 19: n /= 1024 │ 20: return f"{n:.1f} TiB" │ 21: │ 22: │ 23: def rate(value: float | str | None) -> str: │ 24: if value is None: │ 25: return "—" │ 26: n = float(value) │ 27: for unit in ("B/s", "KiB/s", "MiB/s", "GiB/s"): │ 28: if abs(n) < 1024 or unit == "GiB/s": │ 29: if unit == "B/s": │ 30: return f"{int(n)} B/s" │ 31: return f"{n:.1f} {unit}" │ 32: n /= 1024 │ 33: return f"{n:.1f} GiB/s" │ 34: │ 35: │ 36: def uptime_str(seconds: float | None) -> str: │ 37: if seconds is None: │ 38: return "—" │ 39: td = timedelta(seconds=int(seconds)) │ 40: days, rem = divmod(td.seconds, 86400) │ 41: hours, rem = divmod(rem, 3600) │ 42: minutes = rem // 60 │ 43: parts: list[str] = [] │ 44: if days: │ 45: parts.append(f"{days}d") │ 46: if days or hours: │ 47: parts.append(f"{hours}h") │ 48: parts.append(f"{minutes}m") │ 49: return " ".join(parts) │ 50: │ 51: │ 52: def pct(value: float | None) -> str: │ 53: if value is None: │ 54: return "—" │ 55: return f"{value:.0f}%" │ 56: │ 57: │ 58: env = Environment( │ 59: loader=FileSystemLoader(BASE / "templates"), │ 60: autoescape=select_autoescape(("html", "j2")), │ 61: ) │ 62: env.filters["humanize"] = humanize │ 63: env.filters["rate"] = rate │ 64: env.filters["uptime"] = uptime_str │ 65: env.filters["pct"] │ … [162 more chars] │ read /home/mac/Code/dashboard/app/routers/overview.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/routers/overview.py" │ } │ out │ /home/mac/Code/dashboard/app/routers/overview.py │ file │ │ 1: import asyncio │ 2: import math │ 3: import socket │ 4: import time │ 5: from typing import Any │ 6: │ 7: import psutil │ 8: from fastapi import APIRouter, Request │ 9: from fastapi.responses import HTMLResponse, JSONResponse │ 10: │ 11: from app.collect import net as net_col │ 12: from app.config import get_settings │ 13: from app.render import render, uptime_str │ 14: │ 15: router = APIRouter(prefix="/api", tags=["overview"]) │ 16: │ 17: RowAgg = dict[str, float | int | None] │ 18: │ 19: │ 20: def _window( │ 21: snap: list[tuple[float, dict[str, float | int | None]]], max_points: int │ 22: ) -> list[tuple[float, dict[str, RowAgg]]]: │ 23: n = len(snap) │ 24: w = max(1, math.ceil(n / max_points)) │ 25: out: list[tuple[float, dict[str, RowAgg]]] = [] │ 26: for start in range(0, n, w): │ 27: chunk = snap[start : start + w] │ 28: vals: dict[str, list[int | float]] = {} │ 29: for _, sample in chunk: │ 30: for k, v in sample.items(): │ 31: if isinstance(v, (int, float)) and not isinstance(v, bool): │ 32: vals.setdefault(k, []).append(v) │ 33: row: dict[str, RowAgg] = {} │ 34: for k, lst in vals.items(): │ 35: ints = all(isinstance(v, int) for v in lst) │ 36: avg = sum(lst) / len(lst) │ 37: row[k] = { │ 38: "avg": round(avg) if ints else round(avg, 1), │ 39: "min": min(lst) if ints else round(min(lst), 1), │ 40: "max": max(lst) if ints else round(max(lst), 1), │ 41: } │ 42: out.append((chunk[-1][0], row)) │ 43: return out │ 44: │ 45: │ 46: @router.get("/overview") │ 47: async def overview(request: Request): │ 48: store = request.app.state.store │ 49: s: dict[str, Any] = store.latest() or {} │ 50: mem_total = s.get("mem_total") or 0 │ 51: vram_total = s.get("vram_total") or 0 │ 52: vram_used = s.get("vram_used") │ 53: c = { │ 54: "cp │ … [1935 more chars] │ read /home/mac/Code/dashboard/app/main.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/main.py" │ } │ out │ /home/mac/Code/dashboard/app/main.py │ file │ │ 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) │ │ │ tokens 4645 in 154 out 10648 cached 0 written $0.0000 tool-calls │ 2026-08-30 19:52:03 • assistant • Qwen3.8-27B-Think @plan │ │ Now I have a good understanding of the flow. Let me look at the remaining routers (disks, │ processes, journal, services, plugins) and the templates to see if they use the sample data. Let │ me also check the plugins since they might consume the sample. │ │ Let me look at: │ - app/routers/disks.py │ - app/routers/processes.py │ - app/plugins/base.py │ - app/plugins/llamacpp.py │ - templates (to understand what keys are accessed) │ │ Let me batch these. │ │ Let me examine the remaining routers, plugins, and config to complete my understanding of sample │ data consumers. │ │ read /home/mac/Code/dashboard/app/routers/disks.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/routers/disks.py" │ } │ out │ /home/mac/Code/dashboard/app/routers/disks.py │ file │ │ 1: import time │ 2: from typing import Any │ 3: │ 4: from fastapi import APIRouter, Request │ 5: from fastapi.responses import HTMLResponse │ 6: │ 7: from app.collect import disks as disk_col │ 8: from app.render import render │ 9: │ 10: router = APIRouter(prefix="/api", tags=["disks"]) │ 11: │ 12: _prev: dict[str, Any] | None = None │ 13: _prev_t: float = 0.0 │ 14: │ 15: │ 16: @router.get("/disks") │ 17: async def disks(_request: Request): │ 18: global _prev, _prev_t │ 19: now = time.monotonic() │ 20: cur = disk_col.counters() │ 21: per_disk: list[dict[str, Any]] = [] │ 22: dt = (now - _prev_t) if _prev is not None and _prev_t else 0.0 │ 23: for name, c in sorted(cur.items()): │ 24: p = (_prev or {}).get(name) │ 25: per_disk.append( │ 26: { │ 27: "device": name, │ 28: "read_rate": (c.read_bytes - p.read_bytes) / dt if p and dt > 0 else │ 0.0, │ 29: "write_rate": (c.write_bytes - p.write_bytes) / dt if p and dt > 0 else │ 0.0, │ 30: "reads": c.read_count, │ 31: "writes": c.write_count, │ 32: "read_bytes": c.read_bytes, │ 33: "write_bytes": c.write_bytes, │ 34: } │ 35: ) │ 36: _prev = cur │ 37: _prev_t = now │ 38: return HTMLResponse( │ 39: render("disks.html", partitions=disk_col.partitions(), per_disk=per_disk) │ 40: ) │ │ (End of file - total 40 lines) │ │ read /home/mac/Code/dashboard/app/routers/processes.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/routers/processes.py" │ } │ out │ /home/mac/Code/dashboard/app/routers/processes.py │ file │ │ 1: import asyncio │ 2: │ 3: from fastapi import APIRouter │ 4: from fastapi.responses import HTMLResponse │ 5: │ 6: from app.collect import procs as proc_col │ 7: from app.render import render │ 8: │ 9: router = APIRouter(prefix="/api", tags=["processes"]) │ 10: │ 11: SORT_KEYS = ("pid", "name", "cpu", "rss", "mem_pct", "io_read", "io_write", "gpu") │ 12: │ 13: │ 14: @router.get("/processes") │ 15: async def processes(q: str = "", sort: str = "cpu", order: str = "desc"): │ 16: if sort not in SORT_KEYS: │ 17: sort = "cpu" │ 18: if order not in ("asc", "desc"): │ 19: order = "desc" │ 20: procs = await asyncio.to_thread(proc_col.sample) │ 21: if q: │ 22: ql = q.lower() │ 23: procs = [p for p in procs if ql in p["name"].lower() or str(p["pid"]) == ql] │ 24: reverse = order == "desc" │ 25: try: │ 26: procs.sort(key=lambda p: (p[sort] is None, p[sort]), reverse=reverse) │ 27: except (KeyError, TypeError): │ 28: pass │ 29: return HTMLResponse( │ 30: render( │ 31: "processes.html", │ 32: procs=procs[:300], │ 33: total=len(procs), │ 34: q=q, │ 35: sort=sort, │ 36: order=order, │ 37: ) │ 38: ) │ │ (End of file - total 38 lines) │ │ read /home/mac/Code/dashboard/app/plugins/base.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/plugins/base.py" │ } │ out │ /home/mac/Code/dashboard/app/plugins/base.py │ file │ │ 1: from collections.abc import Awaitable, Callable │ 2: from dataclasses import dataclass, field │ 3: │ 4: │ 5: @dataclass │ 6: class Plugin: │ 7: id: str │ 8: title: str │ 9: description: str = "" │ 10: skeleton_fn: Callable[[], Awaitable[str]] | None = field(default=None) │ 11: │ 12: async def skeleton(self) -> str: │ 13: if self.skeleton_fn is None: │ 14: raise NotImplementedError │ 15: return await self.skeleton_fn() │ │ (End of file - total 15 lines) │ │ read /home/mac/Code/dashboard/app/config.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/config.py" │ } │ out │ /home/mac/Code/dashboard/app/config.py │ file │ │ 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: chart_max_points: int = 200 │ 14: │ 15: llama_base_url: str = "http://127.0.0.1:8080" │ 16: llama_api_key: str = "" │ 17: llama_timeout: float = 4.0 │ 18: │ 19: @property │ 20: def history_maxlen(self) -> int: │ 21: return max(10, int(self.retention_minutes * 60 / self.sample_interval)) │ 22: │ 23: │ 24: @lru_cache │ 25: def get_settings() -> Settings: │ 26: return Settings() │ │ (End of file - total 26 lines) │ │ │ tokens 2703 in 267 out 15446 cached 0 written $0.0000 tool-calls │ 2026-08-30 19:52:13 • assistant • Qwen3.8-27B-Think @plan │ │ Now I have a comprehensive understanding of the flow. Let me look at the templates to see which │ keys are accessed directly, and the procs collector. Let me also check how the sample is used in │ the templates. Let me look at the templates and the collect/__init__.py and procs.py. │ │ Let me also check the journal router and services router just to be complete, and check │ procs.py. │ │ Let me focus on what consumes `Sample`-like data: │ 1. `app/sampling.py` - `_collect()` builds the sample dict, `sampler_loop` records it │ 2. `app/state.py` - `HistoryStore` stores `tuple[float, dict]`, `snapshot()`, `latest()` │ 3. `app/routers/overview.py` - `overview()` uses `store.latest()`, `_window()` uses │ `store.snapshot()` │ 4. The collectors: `cpu.sample()`, `mem.sample()`, `gpu.sample()`, `power.sample()`, │ `disks.rates()` │ │ Let me look at the templates to understand the keys accessed in overview.html. Let me also check │ procs.py to see the shape. │ │ Let me batch read the templates directory listing, overview.html, procs.py, and the __init__ │ files. │ │ Let me check the templates, procs collector, and package init files to complete the picture. │ │ read /home/mac/Code/dashboard/app/collect/procs.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/procs.py" │ } │ out │ /home/mac/Code/dashboard/app/collect/procs.py │ file │ │ 1: import shutil │ 2: import subprocess │ 3: import time │ 4: from typing import Any │ 5: │ 6: import psutil │ 7: │ 8: _prev_io: dict[int, tuple[float, float, float]] = {} │ 9: _gpu_procs: dict[int, int] | None = None │ 10: _gpu_probe_t = 0.0 │ 11: │ 12: │ 13: def _gpu_per_proc() -> dict[int, int]: │ 14: global _gpu_procs, _gpu_probe_t │ 15: if not shutil.which("nvidia-smi"): │ 16: return {} │ 17: if _gpu_procs is not None and time.monotonic() - _gpu_probe_t < 10: │ 18: return _gpu_procs │ 19: _gpu_probe_t = time.monotonic() │ 20: _gpu_procs = {} │ 21: try: │ 22: out = subprocess.run( │ 23: [ │ 24: "nvidia-smi", │ 25: "--query-compute-apps=pid,used_memory", │ 26: "--format=csv,noheader,nounits", │ 27: ], │ 28: capture_output=True, │ 29: text=True, │ 30: timeout=5, │ 31: check=False │ 32: ).stdout │ 33: for line in out.splitlines(): │ 34: parts = [p.strip() for p in line.split(",")] │ 35: if len(parts) >= 2: │ 36: try: │ 37: _gpu_procs[int(parts[0])] = int(parts[1]) │ 38: except ValueError: │ 39: continue │ 40: except (OSError, subprocess.SubprocessError): │ 41: pass │ 42: return _gpu_procs │ 43: │ 44: │ 45: def sample() -> list[dict[str, Any]]: │ 46: now = time.monotonic() │ 47: mem_total = psutil.virtual_memory().total │ 48: gpu = _gpu_per_proc() │ 49: out: list[dict[str, Any]] = [] │ 50: alive: set[int] = set() │ 51: for p in psutil.process_iter(): │ 52: try: │ 53: with p.oneshot(): │ 54: if p.ppid() in (0, 2): │ 55: continue │ 56: cpu = p.cpu_percent(None) │ 57: mem = p.memory_info() │ 58: name = p.name() │ 59: user = p.username() │ 60: try │ … [1278 more chars] │ read /home/mac/Code/dashboard/app/collect/__init__.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/__init__.py" │ } │ out │ /home/mac/Code/dashboard/app/collect/__init__.py │ file │ │ 1: from app.collect import cpu, disks, gpu, mem, power, procs │ 2: │ 3: __all__ = ["cpu", "disks", "gpu", "mem", "power", "procs"] │ │ (End of file - total 3 lines) │ │ read /home/mac/Code/dashboard/templates/overview.html ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/templates/overview.html" │ } │ out │ /home/mac/Code/dashboard/templates/overview.html │ file │ │ 1:
│ 2: {% macro bar(pct) %}{% if pct is not none %}
{% │ endif %}{% endmacro %} │ 3: {% macro barrow(label, pct, cls) %}{% if pct is not none %}
{{ label }}
{% endif %}{% endmacro %} │ 4:
│ 5:
CPU / GPU
│ 6:
{{ (c.cpu | default(0, true)) | round(1) }}%
│ 7: {{ barrow("CPU", c.cpu) }} │ 8: {{ barrow("GPU", c.gpu, "gpu") }} │ 9: {% if c.cpu_temp is not none or c.gpu_temp is not none %} │ 10:
│ 11: {% if c.cpu_temp is not none %}CPU {{ c.cpu_temp | round(0) | int }}°C{% │ endif %} │ 12: {% if c.cpu_temp is not none and c.gpu_temp is not none %} ·{% endif %} │ 13: {% if c.gpu_temp is not none %}GPU {{ c.gpu_temp | round(0) | int }}°C{% │ endif %} │ 14:
│ 15: {% endif %} │ 16:
load {{ (c.load1 | default(0, true)) | round(2) }} · {{ │ c.cores }} cores
│ 17:
│ 18:
│ 19:
Memory
│ 20:
{{ c.mem_used | humanize }} / {{ │ c.mem_total | humanize }} ({{ (c.mem_pct | default(0, true)) | round(0) | int │ }}%)
│ 21: {{ bar(c.mem_pct) }} │ 22:
│ 23:
Swap {% if c.swap_total %}{{ c.swap_used | humanize }} │ / {{ c.swap_total | humanize }} ({{ (c.swap_pct | default(0, true)) | │ … [2464 more chars] │ glob templates/*.html ok 0.0s │ in │ { │ "pattern": "templates/*.html" │ } │ out │ /home/mac/Code/dashboard/templates/plugins.html │ /home/mac/Code/dashboard/templates/index.html │ /home/mac/Code/dashboard/templates/overview.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 │ │ tokens 1508 in 418 out 18415 cached 0 written $0.0000 tool-calls │ 2026-08-30 19:52:25 • assistant • Qwen3.8-27B-Think @plan │ │ Now I have a comprehensive understanding. Let me map out all the fields that go into the sample │ dict: │ │ **cpu.sample()** -> `dict[str, float]`: │ - `cpu` (float) │ - `cpu_temp` (float | None) — conditionally present │ - `load1`, `load5`, `load15` (float) │ │ **mem.sample()** -> `dict[str, int | float]`: │ - `mem_used`, `mem_total`, `mem_pct` │ - `swap_used`, `swap_total`, `swap_pct` │ │ **gpu.sample()** -> `dict[str, Any]`: │ - `gpu` (float | None) │ - `vram_used` (int | None) │ - `vram_total` (int | None) │ - `vram_pct` (float | None) │ - `gpu_temp` (float | None) │ - `gpu_name` (str) │ │ **power.sample()** -> `dict[str, Any | None]`: │ - `battery` (int | None) │ - `battery_status` (str | None) │ - `ac_online` (bool | None) │ │ **disks.rates()** -> `dict[str, float]`: │ - `io_read`, `io_write` │ │ **net.sample()** -> `dict[str, Any | None]` (NOT stored in the ring buffer; used only in │ overview endpoint live): │ - `net_ifaces` (list[dict]) │ - `net_wifi` (dict | None) │ │ So the stored sample contains all keys EXCEPT net (net is fetched live per-request in │ overview.py). │ │ Now, the consumers: │ 1. `app/state.py::HistoryStore` - stores `tuple[float, dict]`, `snapshot()`, `latest()` │ 2. `app/sampling.py::_collect()` - builds the dict │ 3. `app/routers/overview.py`: │ - `overview()` - `store.latest()` returns dict, uses `.get()` heavily │ - `_window()` - iterates over `snap` (list of tuples) and `sample.items()`, does │ `isinstance(v, (int, float))` checks │ - `history()` - builds series │ │ Let me note the key design decisions for the `Sample` class: │ │ **Field types:** │ - `ts` could be part of Sample, but currently `ts` is separate in the tuple. Actually, let me │ consider whether to fold `ts` into `Sample`. The `HistoryStore` stores `tuple[float, dict]`. The │ `ts` is `time.time()`. We could make `Sample` have a `ts` field, OR keep ts separate. │ │ Let me think about what the user wants: "The samples that are collected in the internal buffers │ are passed around as various kinds of dict types. Refactor to use a Sample class to make type │ … [21819 more chars] │ │ I have a clear picture of the data flow. Let me verify there are no other consumers I'm missing │ and check the linter config. │ │ grep \.sample\(\)|\.latest\(\)|\.snapshot\(\)|store\.record|sample\.items\(\)|dic… ok 0.0s │ in │ { │ "pattern": │ "\\.sample\\(\\)|\\.latest\\(\\)|\\.snapshot\\(\\)|store\\.record|sample\\.items\\(\\)|dic │ t\\[str, float \\| int \\| None\\]|dict\\[str, float\\]|dict\\[str, int \\| │ float\\]|dict\\[str, Any", │ "path": "/home/mac/Code/dashboard", │ "include": "*.py" │ } │ out │ Found 48 matches │ /home/mac/Code/dashboard/app/journal.py: │ Line 11: def parse_export(text: str) -> list[dict[str, Any]]: │ │ Line 12: entries: list[dict[str, Any]] = [] │ │ Line 13: cur: dict[str, Any] | None = None │ │ Line 35: def format_entries(entries: list[dict[str, Any]]) -> list[dict[str, Any]]: │ │ Line 36: out: list[dict[str, Any]] = [] │ │ Line 83: ) -> tuple[list[dict[str, Any]], str | None]: │ │ │ /home/mac/Code/dashboard/app/state.py: │ Line 7: self._buf: deque[tuple[float, dict[str, float | int | None]]] = │ deque(maxlen=maxlen) │ │ Line 9: def record(self, sample: dict[str, float | int | None]) -> None: │ │ 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/sampling.py: │ Line 8: def _collect() -> dict[str, float | int | None]: │ │ Line 9: sample: dict[str, float | int | None] = {} │ │ Line 10: sample.update(cpu.sample()) │ │ Line 11: sample.update(mem.sample()) │ │ Line 12: sample.update(gpu.sample()) │ │ Line 13: sample.update(power.sample()) │ │ Line 29: store.record(sample) │ │ │ /home/mac/Code/dashboard/app/collect/power.py: │ Line 24: def sample() -> dict[str, Any | None]: │ │ Line 25: out: dict[str, Any | None] = {"battery": None, "battery_status": None, │ "ac_online": None} │ │ │ /home/mac/Code/dashboard/app/collect/gpu.py: │ Line 47: def _amd_sample() -> dict[str, Any] | None: │ │ Line 84: def _nvidia_sample() -> dict[str, Any] | None: │ │ Line 128: def sample() -> dict[str, Any]: │ │ │ /home/mac/Code/dashboard/app/collect/procs.py: │ Line 45: def sample() -> list[dict[str, Any]]: │ │ Line 49: out: list[dict[str, Any]] = [] │ │ │ /home/mac/Code/dashboard/app/routers/overview.py: │ Line 17: RowAgg = dict[str, float | int | None] │ │ Line 21: snap: list[tuple[float, dict[str, float | int | None]]], max_points: int │ │ Line 30: for k, v in sample.items(): │ │ Line 49: s: │ … [1638 more chars] │ glob *.{toml,json,txt,cfg,ini} ok 0.0s │ in │ { │ "pattern": "*.{toml,json,txt,cfg,ini}" │ } │ out │ /home/mac/Code/dashboard/opencode_session_plugin_skeleton_2026-08-30.txt │ /home/mac/Code/dashboard/opencode_session_journal_append_2026-08-30.txt │ /home/mac/Code/dashboard/opencode_session_chart_flicker_2026-08-30.txt │ /home/mac/Code/dashboard/pyproject.toml │ /home/mac/Code/dashboard/opencode/opencode_session_2026-08-30.txt │ glob **/{pyrightconfig.json,*.toml} ok 0.0s │ in │ { │ "pattern": "**/{pyrightconfig.json,*.toml}" │ } │ out /home/mac/Code/dashboard/pyproject.toml │ │ tokens 2900 in 6533 out 20340 cached 0 written $0.0000 tool-calls │ 2026-08-30 19:55:12 • assistant • Qwen3.8-27B-Think @plan │ │ Let me check the pyproject.toml for the basedpyright config and dependencies, and check │ llamacpp.py to see if it consumes any sample (it uses its own dict, likely not related). Let me │ read pyproject.toml and llamacpp.py. │ │ Let me check the project config and the llamacpp plugin to confirm it doesn't consume the │ sample. │ │ read /home/mac/Code/dashboard/pyproject.toml ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/pyproject.toml" │ } │ out │ /home/mac/Code/dashboard/pyproject.toml │ file │ │ 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) │ │ read /home/mac/Code/dashboard/app/plugins/llamacpp.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/plugins/llamacpp.py" │ } │ out │ /home/mac/Code/dashboard/app/plugins/llamacpp.py │ file │ │ 1: from typing import Any │ 2: │ 3: import httpx │ 4: from fastapi import APIRouter, Form │ 5: from fastapi.responses import HTMLResponse │ 6: │ 7: from app.config import Settings, get_settings │ 8: from app.plugins.base import Plugin │ 9: from app.render import render │ 10: │ 11: router = APIRouter(prefix="/api/plugins/llamacpp", tags=["plugins"]) │ 12: │ 13: │ 14: def _headers(settings: Settings) -> dict[str, str]: │ 15: h = {} │ 16: if settings.llama_api_key: │ 17: h["Authorization"] = f"Bearer {settings.llama_api_key}" │ 18: return h │ 19: │ 20: │ 21: def _client() -> httpx.AsyncClient: │ 22: settings = get_settings() │ 23: return httpx.AsyncClient( │ 24: base_url=settings.llama_base_url.rstrip("/"), │ 25: timeout=settings.llama_timeout, │ 26: headers=_headers(settings), │ 27: ) │ 28: │ 29: │ 30: async def gather_status() -> dict[str, Any]: │ 31: """Query the llama-server router. Never raises; returns status dict.""" │ 32: settings = get_settings() │ 33: status: dict[str, Any] = { │ 34: "base_url": settings.llama_base_url, │ 35: "reachable": False, │ 36: "health": None, │ 37: "models": [], │ 38: "error": None, │ 39: } │ 40: try: │ 41: async with _client() as client: │ 42: try: │ 43: r = await client.get("/health") │ 44: status["health"] = r.json().get("status") if r.status_code == 200 else │ f"http {r.status_code}" │ 45: except httpx.HTTPError: │ 46: pass │ 47: r = await client.get("/models") │ 48: _ = r.raise_for_status() │ 49: status["reachable"] = True │ 50: data = r.json() │ 51: for m in data.get("data", []): │ 52: st: dict[str, Any] = m.get("status") or {} │ 53: item: dict[str, str | bool | float] = { │ 54: "id": str(m.get("id", "?")), │ 55: "sta │ … [4249 more chars] │ │ tokens 1328 in 148 out 29774 cached 0 written $0.0000 tool-calls │ 2026-08-30 19:55:18 • assistant • Qwen3.8-27B-Think @plan │ │ The llamacpp plugin is entirely unrelated to the sample buffer — it has its own dict types. │ Good. │ │ Now I have a complete picture. Let me finalize my understanding and design. │ │ **The sample buffer data (what we're refactoring):** │ │ Fields (with types and which collector produces them): │ - CPU (`cpu.py`): `cpu: float`, `cpu_temp: float | None`, `load1: float`, `load5: float`, │ `load15: float` │ - Memory (`mem.py`): `mem_used: int`, `mem_total: int`, `mem_pct: float`, `swap_used: int`, │ `swap_total: int`, `swap_pct: float` │ - GPU (`gpu.py`): `gpu: float | None`, `vram_used: int | None`, `vram_total: int | None`, │ `vram_pct: float | None`, `gpu_temp: float | None`, `gpu_name: str` │ - Power (`power.py`): `battery: int | None`, `battery_status: str | None`, `ac_online: bool | │ None` │ - Disks (`disks.py` rates): `io_read: float`, `io_write: float` │ │ Not in buffer (fetched live in overview, stays a dict): `net_ifaces`, `net_wifi`. │ │ **Design decision on `ts`:** I'll fold it into `Sample` — a sample is a reading at a timestamp. │ `record()` stamps `sample.ts = time.time()`. This makes the ring buffer `deque[Sample]` and │ `snapshot()`/`latest()` return `Sample | None`. │ │ Actually, wait. Let me reconsider. If I fold ts into Sample and stamp it in record(), the │ sampling loop currently does: │ ```python │ sample = await asyncio.to_thread(_collect) │ now = time.monotonic() │ dt = now - prev_t │ sample.update(disks.rates(prev_disk, dt)) │ prev_disk = disks.counters() │ prev_t = now │ store.record(sample) │ ``` │ │ New: │ ```python │ sample = await asyncio.to_thread(_collect) │ now = time.monotonic() │ dt = now - prev_t │ sample.io_read, sample.io_write = disks.rates(prev_disk, dt) │ prev_disk = disks.counters() │ prev_t = now │ store.record(sample) │ ``` │ │ And `record` sets ts. Clean. │ │ **Sample dataclass:** │ │ ```python │ from dataclasses import dataclass │ │ @dataclass │ class Sample: │ ts: float = 0.0 │ cpu: float = 0.0 │ cpu_temp: float | None = None │ load1: float = 0.0 │ load5: float = 0.0 │ load15: float = 0.0 │ mem_used: int │ … [27903 more chars] │ │ I now have a complete picture of the sample data flow. Let me lay out the plan. │ │ ## What the "sample" actually is today │ │ The ring-buffer sample is assembled in `app/sampling.py:_collect()` from four collector dicts, │ plus disk rates, then stored in `HistoryStore` as `tuple[float, dict[str, float | int | None]]`. │ The full field set (no collector overlaps): │ │ | Field | Type | Producer | │ |---|---|---| │ | `cpu`, `cpu_temp`, `load1/5/15` | `float` / `float\|None` | `cpu.py` | │ | `mem_used/total`, `mem_pct`, `swap_used/total`, `swap_pct` | `int`/`float` | `mem.py` | │ | `gpu`, `vram_used/total`, `vram_pct`, `gpu_temp`, `gpu_name` | mixed | `gpu.py` | │ | `battery`, `battery_status`, `ac_online` | `int\|None`/`str\|None`/`bool\|None` | `power.py` | │ | `io_read`, `io_write` | `float` | `disks.rates()` | │ │ `net.sample()` is **not** in the buffer (fetched live per overview request) and stays a dict. │ `procs.sample()` is a different list-of-dicts concern, untouched. │ │ ## The plan │ │ **1. New `app/sample.py`** — a `@dataclass Sample` with one typed field per row above, all with │ defaults (`Sample()` is a valid blank), plus a `ts: float = 0.0`. │ │ **2. Collectors switch to a fill pattern** (no dict merging needed since fields don't overlap): │ - `cpu.fill(s)`, `mem.fill(s)`, `gpu.fill(s)`, `power.fill(s)` — each sets only its own fields │ on the passed-in `Sample`. GPU internals (`_amd_sample`/`_nvidia_sample`) become │ `_amd(s)`/`_nvidia(s)` returning `bool`; the "no GPU" case is just the dataclass defaults. │ - `disks.rates(prev, dt)` returns `tuple[float, float]` (read, write) instead of a 2-key dict. │ │ **3. `sampling.py`** — `_collect() -> Sample` builds one `Sample()` and calls the four `fill`s; │ the loop assigns `sample.io_read, sample.io_write = disks.rates(...)`. │ │ **4. `state.py`** — `HistoryStore` becomes `deque[Sample]`; `record()` stamps `sample.ts = │ time.time()`; `snapshot() -> list[Sample]`; `latest() -> Sample | None`. │ │ **5. `routers/overview.py`** — the main type-safety payoff: │ - `overview()`: `s = store.latest() or Sample()`, then attribute access (`s.cpu`, `s.mem_used`, │ …) into the existing `c` render dict. Template unchanged. │ - `_window(snap: list[Sample], …)`: iterate `dataclasses.fields(sample)` with the existing │ `isinstance(v, (int, float)) and not bool` filter to collect metric values; **explicitly skip │ `ts`** (it's the x-axis, not a metric). `RowAgg` and the null-padding behavior are preserved. │ │ No circular imports (`sample.py` imports nothing from `app`). Verified only `state.py`, │ `sampling.py`, `overview.py` + the collectors touch this data. │ │ ## Two judgment calls to flag │ │ 1. **`ts` folded into `Sample`** — I'm making a sample a self-describing "reading + when", so │ the store is just `deque[Sample]`. Cost: `_window` must skip `ts`. Alternative: keep `ts` │ separate (`deque[tuple[float, Sample]]`) and keep `_window` fully generic. I prefer folding it │ in, but happy to keep it separate. │ 2. **Empty-buffer startup** — `store.latest() or Sample()` means the first ~2s (before the first │ sample lands) render zeros/“no GPU” instead of the current dashes, because numeric fields are │ now tight-typed rather than `None`. Minor cosmetic, only affects startup. │ │ Want me to proceed with both as-is, or keep `ts` separate / preserve the startup dashes? │ │ tokens 2361 in 9147 out 31250 cached 0 written $0.0000 stop │ 2026-08-30 20:03:09 • user │ │ folding in ts is ok, that makes the code more readable │ 2026-08-30 20:03:09 • assistant • Qwen3.8-27B-Think @plan │ │ The user confirmed folding ts in is fine. They didn't address the startup-dashes judgment call. │ Let me re-read: "folding in ts is ok, that makes the code more readable". They only addressed │ point 1. They didn't object to point 2 (startup zeros vs dashes). │ │ Since they confirmed ts folding and didn't raise concern about the startup cosmetic, I think │ it's reasonable to proceed with the blank-Sample fallback (startup zeros). But I should note │ it's still a plan mode — I must NOT make edits. I should present the finalized plan and get the │ go-ahead, or ask if they want me to proceed. │ │ Actually, I'm still in plan mode (read-only). The user is refining the plan. I should confirm │ the final plan concisely and note the one remaining open item (startup dashes) — but they didn't │ mention it. Let me not over-ask. They said folding ts is ok. I'll treat the startup fallback as │ accepted-by-silence but flag it once more briefly, then present the final consolidated plan and │ ask for the green light to implement. │ │ Since I'm in plan mode and can't edit, I should present the finalized plan and ask if they want │ me to proceed (switch out of plan mode). Let me keep it concise per the guidelines. I'll give a │ tight final plan summary and a single go/no-go. │ │ Let me not re-dump everything. I'll confirm the two decisions are locked, show the final shape │ briefly, and ask to proceed. │ │ I don't need to ask about startup dashes again since it's minor and they didn't object. I'll │ just note it stays as "zeros on startup" and ask for the go-ahead. │ │ Let me write a concise final plan and ask to proceed. │ │ Locked in: `ts` folded into `Sample`, empty-buffer fallback renders zeros (accepted by silence). │ Final plan: │ │ **`app/sample.py` (new)** — `@dataclass Sample`, fields `ts` + all rows from the table, all │ defaulted. │ │ **Collectors** → fill pattern: `cpu.fill(s)`, `mem.fill(s)`, `gpu.fill(s)`, `power.fill(s)`; GPU │ internals become `_amd(s)`/`_nvidia(s) -> bool` (no-GPU case = defaults). `disks.rates() -> │ tuple[float, float]`. │ │ **`sampling.py`** — `_collect() -> Sample` (one blank + four fills); loop does `sample.io_read, │ sample.io_write = disks.rates(...)`. │ │ **`state.py`** — `deque[Sample]`; `record()` stamps `sample.ts`; `latest() -> Sample | None`. │ │ **`overview.py`** — `s = store.latest() or Sample()`, attribute access into existing `c` dict │ (template untouched); `_window(list[Sample])` iterates `fields(sample)` with the numeric filter, │ skipping `ts`; `RowAgg` + null-padding preserved. │ │ No template or router changes elsewhere; no circular imports. │ │ Ready to implement — give me the go-ahead and I'll switch out of plan mode and make the edits, │ then verify with `compileall`, the endpoint `curl`s, and basedpyright. │ │ tokens 34066 in 679 out 8717 cached 0 written $0.0000 stop │ 2026-08-30 20:04:46 • user │ │ ok go │ 2026-08-30 20:04:46 • assistant • Qwen3.8-27B-Think │ │ I'm now in build mode. Let me implement the plan. Let me set up a todo list first since this is │ a multi-step task, then make the edits. │ │ Let me create the todos: │ 1. Create `app/sample.py` with `Sample` dataclass │ 2. Refactor collectors (cpu, mem, gpu, power) to fill pattern │ 3. Refactor `disks.rates()` to return tuple │ 4. Refactor `sampling.py` │ 5. Refactor `state.py` │ 6. Refactor `overview.py` │ 7. Verify: compileall, curl endpoints, basedpyright │ │ Let me start. First create the Sample dataclass, then edit the collectors, then sampling, state, │ overview. │ │ Let me create `app/sample.py`. │ │ todowrite 7 todos ok 0.0s │ in │ { │ "todos": [ │ { │ "content": "Create app/sample.py with Sample dataclass", │ "status": "in_progress", │ "priority": "high" │ }, │ { │ "content": "Refactor cpu/mem/gpu/power collectors to fill pattern", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Change disks.rates() to return tuple[float, float]", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Refactor sampling.py to build Sample", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Refactor state.py HistoryStore to hold Sample", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Refactor overview.py to use Sample attributes + fields()", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Verify: compileall, curl endpoints, basedpyright", │ "status": "pending", │ "priority": "high" │ } │ ] │ } │ out │ [ │ { │ "content": "Create app/sample.py with Sample dataclass", │ "status": "in_progress", │ "priority": "high" │ }, │ { │ "content": "Refactor cpu/mem/gpu/power collectors to fill pattern", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Change disks.rates() to return tuple[float, float]", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Refactor sampling.py to build Sample", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Refactor state.py HistoryStore to hold Sample", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Refactor overview.py to use Sample attributes + fields()", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Verify: compileall, curl endpoints, basedpyright", │ "status": "pending", │ "priority": "high" │ } │ ] │ │ tokens 43251 in 382 out 0 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:06:06 • assistant • Qwen3.8-27B-Think │ │ Now let me create the `app/sample.py` file. │ │ write /home/mac/Code/dashboard/app/sample.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/sample.py", │ "content": "from dataclasses import dataclass\n\n\n@dataclass\nclass Sample:\n ts: │ float = 0.0\n cpu: float = 0.0\n cpu_temp: float | None = None\n load1: float = │ 0.0\n load5: float = 0.0\n load15: float = 0.0\n mem_used: int = 0\n │ mem_total: int = 0\n mem_pct: float = 0.0\n swap_used: int = 0\n swap_total: int │ = 0\n swap_pct: float = 0.0\n gpu: float | None = None\n vram_used: int | None = │ None\n vram_total: int | None = None\n vram_pct: float | None = None\n gpu_temp: │ float | None = None\n gpu_name: str = \"no GPU detected\"\n battery: int | None = │ None\n battery_status: str | None = None\n ac_online: bool | None = None\n │ io_read: float = 0.0\n io_write: float = 0.0\n" │ } │ out Wrote file successfully. │ │ tokens 291 in 310 out 43632 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) c10f1778 │ 2026-08-30 20:06:13 • assistant • Qwen3.8-27B-Think │ │ Now let me refactor the collectors. Start with cpu.py. │ │ Now the collectors. Starting with `cpu.py`: │ │ edit /home/mac/Code/dashboard/app/collect/cpu.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/cpu.py", │ "oldString": "import glob\n\nimport psutil", │ "newString": "import glob\n\nimport psutil\n\nfrom app.sample import Sample" │ } │ out Edit applied successfully. │ edit /home/mac/Code/dashboard/app/collect/cpu.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/cpu.py", │ "oldString": "def sample() -> dict[str, float]:\n out: dict[str, float] = {\"cpu\": │ psutil.cpu_percent(None)}\n t = temp()\n if t is not None:\n │ out[\"cpu_temp\"] = t\n l1, l5, l15 = psutil.getloadavg()\n out[\"load1\"] = l1\n │ out[\"load5\"] = l5\n out[\"load15\"] = l15\n return out", │ "newString": "def fill(s: Sample) -> None:\n s.cpu = psutil.cpu_percent(None)\n │ s.cpu_temp = temp()\n l1, l5, l15 = psutil.getloadavg()\n s.load1 = l1\n s.load5 │ = l5\n s.load15 = l15" │ } │ out Edit applied successfully. │ │ tokens 19 in 337 out 44234 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) 00223748 │ 2026-08-30 20:06:21 • assistant • Qwen3.8-27B-Think │ │ Now `mem.py`: │ │ write /home/mac/Code/dashboard/app/collect/mem.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/mem.py", │ "content": "import psutil\n\nfrom app.sample import Sample\n\n\ndef fill(s: Sample) -> │ None:\n v = psutil.virtual_memory()\n s.mem_used = v.used\n s.mem_total = │ v.total\n s.mem_pct = v.percent\n sw = psutil.swap_memory()\n s.swap_used = │ sw.used\n s.swap_total = sw.total\n s.swap_pct = sw.percent\n" │ } │ out Wrote file successfully. │ │ tokens 27 in 140 out 44591 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) b7794d4c │ 2026-08-30 20:06:25 • assistant • Qwen3.8-27B-Think │ │ Now `gpu.py`. This is the more complex one. Let me refactor the two `_amd_sample` and │ `_nvidia_sample` functions into `_amd(s) -> bool` and `_nvidia(s) -> bool`, and the `sample()` │ function into `fill(s) -> None`. │ │ The original: │ ```python │ def _amd_sample() -> dict[str, Any] | None: │ devices = sorted(glob.glob("/sys/class/drm/card[0-9]*/device/gpu_busy_percent")) │ if not devices: │ return None │ busy_sum = 0 │ count = 0 │ vram_used = 0 │ vram_total = 0 │ temps: list[float] = [] │ for busy_path in devices: │ dev = busy_path.rsplit("/", 1)[0] │ try: │ busy_sum += int(_read(busy_path) or 0) │ count += 1 │ except ValueError: │ continue │ vram_used += int(_read(f"{dev}/mem_info_vram_used") or 0) │ vram_total += int(_read(f"{dev}/mem_info_vram_total") or 0) │ for hwmon in glob.glob(f"{dev}/hwmon/hwmon*"): │ t = _read(f"{hwmon}/temp1_input") │ if t: │ try: │ temps.append(int(t) / 1000.0) │ except ValueError: │ pass │ if count == 0: │ return None │ return { │ "gpu": round(busy_sum / count, 1), │ "vram_used": vram_used, │ "vram_total": vram_total, │ "vram_pct": round(vram_used / vram_total * 100, 1) if vram_total else None, │ "gpu_temp": max(temps) if temps else None, │ "gpu_name": _gpu_name(), │ } │ ``` │ │ New: │ ```python │ def _amd(s: Sample) -> bool: │ devices = sorted(glob.glob("/sys/class/drm/card[0-9]*/device/gpu_busy_percent")) │ if not devices: │ return False │ busy_sum = 0 │ count = 0 │ vram_used = 0 │ vram_total = 0 │ temps: list[float] = [] │ for busy_path in devices: │ dev = busy_path.rsplit("/", 1)[0] │ try: │ busy_sum += int(_read(busy_path) or 0) │ count += 1 │ except ValueError: │ continue │ vram_used += int(_read(f"{dev}/mem_info_vram_used") or 0) │ vram_total += int( │ … [4570 more chars] │ │ Now `gpu.py` — refactor the AMD/NVIDIA internals to fill the sample and drop the `Any` import: │ │ edit /home/mac/Code/dashboard/app/collect/gpu.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/gpu.py", │ "oldString": "import glob\nimport re\nimport shutil\nimport subprocess\nfrom typing import │ Any", │ "newString": "import glob\nimport re\nimport shutil\nimport subprocess\n\nfrom app.sample │ import Sample" │ } │ out Edit applied successfully. │ │ tokens 21 in 2043 out 44757 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) a1ff68ec │ 2026-08-30 20:07:14 • assistant • Qwen3.8-27B-Think │ │ Now edit the `_amd_sample` function. Let me replace the whole function. │ │ edit /home/mac/Code/dashboard/app/collect/gpu.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/gpu.py", │ "oldString": "def _amd_sample() -> dict[str, Any] | None:\n devices = │ sorted(glob.glob(\"/sys/class/drm/card[0-9]*/device/gpu_busy_percent\"))\n if not │ devices:\n return None\n busy_sum = 0\n count = 0\n vram_used = 0\n │ vram_total = 0\n temps: list[float] = []\n for busy_path in devices:\n dev = │ busy_path.rsplit(\"/\", 1)[0]\n try:\n busy_sum += int(_read(busy_path) │ or 0)\n count += 1\n except ValueError:\n continue\n │ vram_used += int(_read(f\"{dev}/mem_info_vram_used\") or 0)\n vram_total += │ int(_read(f\"{dev}/mem_info_vram_total\") or 0)\n for hwmon in │ glob.glob(f\"{dev}/hwmon/hwmon*\"):\n t = _read(f\"{hwmon}/temp1_input\")\n │ if t:\n try:\n temps.append(int(t) / 1000.0)\n │ except ValueError:\n pass\n if count == 0:\n return None\n │ return {\n \"gpu\": round(busy_sum / count, 1),\n \"vram_used\": │ vram_used,\n \"vram_total\": vram_total,\n \"vram_pct\": round(vram_used / │ vram_total * 100, 1) if vram_total else None,\n \"gpu_temp\": max(temps) if temps │ else None,\n \"gpu_name\": _gpu_name(),\n }", │ "newString": "def _amd(s: Sample) -> bool:\n devices = │ sorted(glob.glob(\"/sys/class/drm/card[0-9]*/device/gpu_busy_percent\"))\n if not │ devices:\n return False\n busy_sum = 0\n count = 0\n vram_used = 0\n │ vram_total = 0\n temps: list[float] = []\n for busy_path in devices:\n dev = │ busy_path.rsplit(\"/\", 1)[0]\n try:\n busy_sum += int(_read(busy_path) │ or 0)\n count += 1\n except ValueError:\n continue\n │ vram_used += int(_read(f\"{dev}/mem_info_vram_used\") or 0)\n vram_total += │ int(_read(f\"{dev}/mem_info_vram_total\") or 0)\n for hwmon in glob.glob(f\"{d │ … [544 more chars] │ out Edit applied successfully. │ │ tokens 20 in 805 out 46820 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) 8f5532ce │ 2026-08-30 20:07:32 • assistant • Qwen3.8-27B-Think │ │ Now the nvidia function and the main fill function. │ │ edit /home/mac/Code/dashboard/app/collect/gpu.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/gpu.py", │ "oldString": "def _nvidia_sample() -> dict[str, Any] | None:\n if not │ shutil.which(\"nvidia-smi\"):\n return None\n try:\n out = │ subprocess.run(\n [\n \"nvidia-smi\",\n │ \"--query-gpu=utilization.gpu,memory.used,memory.total,temperature.gpu,name\",\n │ \"--format=csv,noheader,nounits\",\n ],\n capture_output=True,\n │ text=True,\n timeout=5,\n check=True,\n ).stdout\n except │ (OSError, subprocess.SubprocessError):\n return None\n lines = [l for l in │ out.splitlines() if l.strip()]\n if not lines:\n return None\n busy = used = │ total = 0\n temp = 0\n for line in lines:\n parts = [p.strip() for p in │ line.split(\",\")]\n try:\n busy += int(parts[0])\n used += │ int(parts[1])\n total += int(parts[2])\n temp = max(temp, │ int(parts[3]))\n except ValueError:\n continue\n name = │ lines[0].split(\",\")[-1].strip()\n vram_used = used * 1024 * 1024\n vram_total = │ total * 1024 * 1024\n return {\n \"gpu\": round(busy / len(lines), 1),\n │ \"vram_used\": vram_used,\n \"vram_total\": vram_total,\n \"vram_pct\": │ round(vram_used / vram_total * 100, 1) if vram_total else None,\n \"gpu_temp\": │ float(temp),\n \"gpu_name\": name,\n }\n\n\ndef sample() -> dict[str, Any]:\n │ return (\n _amd_sample()\n or _nvidia_sample()\n or {\n │ \"gpu\": None,\n \"vram_used\": None,\n \"vram_total\": None,\n │ \"vram_pct\": None,\n \"gpu_temp\": None,\n \"gpu_name\": \"no GPU │ detected\",\n }\n )", │ "newString": "def _nvidia(s: Sample) -> bool:\n if not shutil.which(\"nvidia-smi\"):\n │ return False\n try:\n out = subprocess.run(\n [ │ … [1280 more chars] │ out Edit applied successfully. │ │ tokens 19 in 964 out 47645 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) b9b4facf │ 2026-08-30 20:07:54 • assistant • Qwen3.8-27B-Think │ │ Now `power.py`. Refactor `sample()` to `fill(s)`. The original: │ ```python │ def sample() -> dict[str, Any | None]: │ out: dict[str, Any | None] = {"battery": None, "battery_status": None, "ac_online": None} │ try: │ supplies = _supplies() │ for t, p in supplies: │ if t == "battery" and _read(f"{p}/present") == "1": │ cap = _read(f"{p}/capacity") │ if cap is not None: │ try: │ out["battery"] = int(cap) │ except ValueError: │ pass │ out["battery_status"] = _read(f"{p}/status") │ break │ for t, p in supplies: │ if t == "mains" and _read(f"{p}/online") == "1": │ out["ac_online"] = True │ break │ if out["ac_online"] is None: │ for t, p in supplies: │ if t == "usb" and _read(f"{p}/online") == "1": │ out["ac_online"] = True │ break │ except OSError: │ pass │ return out │ ``` │ │ New: │ ```python │ def fill(s: Sample) -> None: │ try: │ supplies = _supplies() │ for t, p in supplies: │ if t == "battery" and _read(f"{p}/present") == "1": │ cap = _read(f"{p}/capacity") │ if cap is not None: │ try: │ s.battery = int(cap) │ except ValueError: │ pass │ s.battery_status = _read(f"{p}/status") │ break │ for t, p in supplies: │ if t == "mains" and _read(f"{p}/online") == "1": │ s.ac_online = True │ break │ if s.ac_online is None: │ for t, p in supplies: │ if t == "usb" and _read(f"{p}/online") == "1": │ s.ac_online = True │ break │ except OSError: │ pass │ ``` │ │ The defaults for battery/battery_status/ac_online are all None, matching the or │ … [383 more chars] │ │ Now `power.py` — fill pattern and drop the now-unused `Any` import: │ │ edit /home/mac/Code/dashboard/app/collect/power.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/power.py", │ "oldString": "import glob\nfrom typing import Any\n\n_PS = \"/sys/class/power_supply\"", │ "newString": "import glob\n\nfrom app.sample import Sample\n\n_PS = │ \"/sys/class/power_supply\"" │ } │ out Edit applied successfully. │ edit /home/mac/Code/dashboard/app/collect/power.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/power.py", │ "oldString": "def sample() -> dict[str, Any | None]:\n out: dict[str, Any | None] = │ {\"battery\": None, \"battery_status\": None, \"ac_online\": None}\n try:\n │ supplies = _supplies()\n for t, p in supplies:\n if t == \"battery\" and │ _read(f\"{p}/present\") == \"1\":\n cap = _read(f\"{p}/capacity\")\n │ if cap is not None:\n try:\n out[\"battery\"] = │ int(cap)\n except ValueError:\n pass\n │ out[\"battery_status\"] = _read(f\"{p}/status\")\n break\n for t, p │ in supplies:\n if t == \"mains\" and _read(f\"{p}/online\") == \"1\":\n │ out[\"ac_online\"] = True\n break\n if out[\"ac_online\"] is None:\n │ for t, p in supplies:\n if t == \"usb\" and _read(f\"{p}/online\") == │ \"1\":\n out[\"ac_online\"] = True\n break\n │ except OSError:\n pass\n return out", │ "newString": "def fill(s: Sample) -> None:\n try:\n supplies = _supplies()\n │ for t, p in supplies:\n if t == \"battery\" and _read(f\"{p}/present\") == │ \"1\":\n cap = _read(f\"{p}/capacity\")\n if cap is not │ None:\n try:\n s.battery = int(cap)\n │ except ValueError:\n pass\n s.battery_status = │ _read(f\"{p}/status\")\n break\n for t, p in supplies:\n │ if t == \"mains\" and _read(f\"{p}/online\") == \"1\":\n s.ac_online = │ True\n break\n if s.ac_online is None:\n for t, p in │ supplies:\n if t == \"usb\" and _read(f\"{p}/online\") == \"1\":\n │ s.ac_online = True\n break\n e │ … [31 more chars] │ out Edit applied successfully. │ │ tokens 18 in 1243 out 48629 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) 58e49430 │ 2026-08-30 20:08:23 • assistant • Qwen3.8-27B-Think │ │ Now `disks.py` — change `rates()` to return `tuple[float, float]`. │ │ Original: │ ```python │ def rates(prev: dict[str, sdiskio], dt: float) -> dict[str, float]: │ cur = counters() │ r = 0 │ w = 0 │ for name, c in cur.items(): │ p = prev.get(name) │ if p is not None and dt > 0: │ r += max(0, int(c.read_bytes) - int(p.read_bytes)) │ w += max(0, int(c.write_bytes) - int(p.write_bytes)) │ return {"io_read": r / dt if dt > 0 else 0.0, "io_write": w / dt if dt > 0 else 0.0} │ ``` │ │ New: │ ```python │ def rates(prev: dict[str, sdiskio], dt: float) -> tuple[float, float]: │ cur = counters() │ r = 0 │ w = 0 │ for name, c in cur.items(): │ p = prev.get(name) │ if p is not None and dt > 0: │ r += max(0, int(c.read_bytes) - int(p.read_bytes)) │ w += max(0, int(c.write_bytes) - int(p.write_bytes)) │ return (r / dt if dt > 0 else 0.0, w / dt if dt > 0 else 0.0) │ ``` │ │ Let me update the todo for collectors and move on. │ │ Now `disks.py` — `rates()` returns a tuple: │ │ edit /home/mac/Code/dashboard/app/collect/disks.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/disks.py", │ "oldString": "def rates(prev: dict[str, sdiskio], dt: float) -> dict[str, float]:\n cur │ = counters()\n r = 0\n w = 0\n for name, c in cur.items():\n p = │ prev.get(name)\n if p is not None and dt > 0:\n r += max(0, │ int(c.read_bytes) - int(p.read_bytes))\n w += max(0, int(c.write_bytes) - │ int(p.write_bytes))\n return {\"io_read\": r / dt if dt > 0 else 0.0, \"io_write\": w / │ dt if dt > 0 else 0.0}", │ "newString": "def rates(prev: dict[str, sdiskio], dt: float) -> tuple[float, float]:\n │ cur = counters()\n r = 0\n w = 0\n for name, c in cur.items():\n p = │ prev.get(name)\n if p is not None and dt > 0:\n r += max(0, │ int(c.read_bytes) - int(p.read_bytes))\n w += max(0, int(c.write_bytes) - │ int(p.write_bytes))\n return (r / dt if dt > 0 else 0.0, w / dt if dt > 0 else 0.0)" │ } │ out Edit applied successfully. │ │ tokens 29 in 701 out 49889 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) d8971b5d │ 2026-08-30 20:08:39 • assistant • Qwen3.8-27B-Think │ │ Now let me update the todos: collectors done, disks done. Move to sampling.py. │ │ todowrite 4 todos ok 0.0s │ in │ { │ "todos": [ │ { │ "content": "Create app/sample.py with Sample dataclass", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor cpu/mem/gpu/power collectors to fill pattern", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Change disks.rates() to return tuple[float, float]", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor sampling.py to build Sample", │ "status": "in_progress", │ "priority": "high" │ }, │ { │ "content": "Refactor state.py HistoryStore to hold Sample", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Refactor overview.py to use Sample attributes + fields()", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Verify: compileall, curl endpoints, basedpyright", │ "status": "pending", │ "priority": "high" │ } │ ] │ } │ out │ [ │ { │ "content": "Create app/sample.py with Sample dataclass", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor cpu/mem/gpu/power collectors to fill pattern", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Change disks.rates() to return tuple[float, float]", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor sampling.py to build Sample", │ "status": "in_progress", │ "priority": "high" │ }, │ { │ "content": "Refactor state.py HistoryStore to hold Sample", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Refactor overview.py to use Sample attributes + fields()", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Verify: compileall, curl endpoints, basedpyright", │ "status": "pending", │ "priority": "high" │ } │ ] │ │ tokens 19 in 238 out 50619 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:08:45 • assistant • Qwen3.8-27B-Think │ │ Now `sampling.py`: │ ```python │ import asyncio │ import time │ │ from app.collect import cpu, disks, gpu, mem, power │ from app.sample import Sample │ from app.state import HistoryStore │ │ │ def _collect() -> Sample: │ sample = Sample() │ cpu.fill(sample) │ mem.fill(sample) │ gpu.fill(sample) │ power.fill(sample) │ return sample │ │ │ async def sampler_loop(store: HistoryStore, sample_interval: float) -> None: │ cpu.prime() │ prev_disk = disks.counters() │ prev_t = time.monotonic() │ while True: │ await asyncio.sleep(sample_interval) │ sample = await asyncio.to_thread(_collect) │ now = time.monotonic() │ dt = now - prev_t │ sample.io_read, sample.io_write = disks.rates(prev_disk, dt) │ prev_disk = disks.counters() │ prev_t = now │ store.record(sample) │ ``` │ │ Let me write this file. │ │ Now `sampling.py`: │ │ write /home/mac/Code/dashboard/app/sampling.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/sampling.py", │ "content": "import asyncio\nimport time\n\nfrom app.collect import cpu, disks, gpu, mem, │ power\nfrom app.sample import Sample\nfrom app.state import HistoryStore\n\n\ndef │ _collect() -> Sample:\n sample = Sample()\n cpu.fill(sample)\n mem.fill(sample)\n │ gpu.fill(sample)\n power.fill(sample)\n return sample\n\n\nasync def │ sampler_loop(store: HistoryStore, sample_interval: float) -> None:\n cpu.prime()\n │ prev_disk = disks.counters()\n prev_t = time.monotonic()\n while True:\n │ await asyncio.sleep(sample_interval)\n sample = await asyncio.to_thread(_collect)\n │ now = time.monotonic()\n dt = now - prev_t\n sample.io_read, sample.io_write │ = disks.rates(prev_disk, dt)\n prev_disk = disks.counters()\n prev_t = now\n │ store.record(sample)\n" │ } │ out Wrote file successfully. │ │ tokens 290 in 466 out 50876 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) 63ee4086 │ 2026-08-30 20:08:57 • assistant • Qwen3.8-27B-Think │ │ Now `state.py`: │ ```python │ import time │ from collections import deque │ │ from app.sample import Sample │ │ │ class HistoryStore: │ def __init__(self, maxlen: int) -> None: │ self._buf: deque[Sample] = deque(maxlen=maxlen) │ │ def record(self, sample: Sample) -> None: │ sample.ts = time.time() │ self._buf.append(sample) │ │ def snapshot(self) -> list[Sample]: │ return list(self._buf) │ │ def latest(self) -> Sample | None: │ return self._buf[-1] if self._buf else None │ │ def __len__(self) -> int: │ return len(self._buf) │ ``` │ │ Let me write it. │ │ Now `state.py`: │ │ write /home/mac/Code/dashboard/app/state.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/state.py", │ "content": "import time\nfrom collections import deque\n\nfrom app.sample import │ Sample\n\n\nclass HistoryStore:\n def __init__(self, maxlen: int) -> None:\n │ self._buf: deque[Sample] = deque(maxlen=maxlen)\n\n def record(self, sample: Sample) -> │ None:\n sample.ts = time.time()\n self._buf.append(sample)\n\n def │ snapshot(self) -> list[Sample]:\n return list(self._buf)\n\n def latest(self) -> │ Sample | None:\n return self._buf[-1] if self._buf else None\n\n def │ __len__(self) -> int:\n return len(self._buf)\n" │ } │ out Wrote file successfully. │ │ tokens 21 in 356 out 51631 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) 6be7ef2f │ 2026-08-30 20:09:06 • assistant • Qwen3.8-27B-Think │ │ Now the big one: `overview.py`. Let me update the todos and then edit. │ │ Current 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": min(lst) if ints else round(min(lst), 1), │ "max": max(lst) if ints else round(max(lst), 1), │ } │ out.append((chunk[-1][0], row)) │ return out │ │ │ @router.get("/overview") │ async def overview(request: Request): │ store = request.app.state.store │ s: dict[str, Any] = store.latest() or {} │ mem_total = s.get("mem_total") or 0 │ vram_total = s.get("vram_total") or 0 │ vram_used = s.get("vram_used") │ c = { │ "cpu": s.get("cpu"), │ "cpu_temp": s.get("cpu_temp"), │ "load1": s.get("load1"), │ "load5": s.get("load5"), │ "load15": s.get("load15"), │ "mem_used": s.get("mem_used" │ … [8363 more chars] │ │ todowrite 2 todos ok 0.0s │ in │ { │ "todos": [ │ { │ "content": "Create app/sample.py with Sample dataclass", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor cpu/mem/gpu/power collectors to fill pattern", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Change disks.rates() to return tuple[float, float]", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor sampling.py to build Sample", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor state.py HistoryStore to hold Sample", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor overview.py to use Sample attributes + fields()", │ "status": "in_progress", │ "priority": "high" │ }, │ { │ "content": "Verify: compileall, curl endpoints, basedpyright", │ "status": "pending", │ "priority": "high" │ } │ ] │ } │ out │ [ │ { │ "content": "Create app/sample.py with Sample dataclass", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor cpu/mem/gpu/power collectors to fill pattern", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Change disks.rates() to return tuple[float, float]", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor sampling.py to build Sample", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor state.py HistoryStore to hold Sample", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor overview.py to use Sample attributes + fields()", │ "status": "in_progress", │ "priority": "high" │ }, │ { │ "content": "Verify: compileall, curl endpoints, basedpyright", │ "status": "pending", │ "priority": "high" │ } │ ] │ │ tokens 20 in 3133 out 52008 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:10:23 • assistant • Qwen3.8-27B-Think │ │ Now let me make the three edits to overview.py. │ │ Now the three edits to `overview.py` — imports, `_window`, and `overview()`: │ │ 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 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", │ "newString": "import asyncio\nimport math\nimport socket\nimport time\nfrom dataclasses │ import fields\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\nfrom app.sample import Sample" │ } │ out Edit applied successfully. │ edit /home/mac/Code/dashboard/app/routers/overview.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/routers/overview.py", │ "oldString": "def _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", │ "newString": "def _window(snap: list[Sample], max_points: int) -> 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 f in fields(sample):\n if f.name == │ \"ts\":\n continue\n v = getattr(sample, f.name)\n │ if isinstance(v, (int, float)) and not isinstance(v, bool):\n │ vals.setdefault(f.name, []).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 │ … [265 more chars] │ out Edit applied successfully. │ │ tokens 291 in 897 out 55160 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) c21599db │ 2026-08-30 20:10:45 • assistant • Qwen3.8-27B-Think │ │ Now the `overview()` function body. │ │ edit /home/mac/Code/dashboard/app/routers/overview.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/routers/overview.py", │ "oldString": " store = request.app.state.store\n s: dict[str, Any] = store.latest() │ or {}\n mem_total = s.get(\"mem_total\") or 0\n vram_total = s.get(\"vram_total\") │ or 0\n vram_used = s.get(\"vram_used\")\n c = {\n \"cpu\": s.get(\"cpu\"),\n │ \"cpu_temp\": s.get(\"cpu_temp\"),\n \"load1\": s.get(\"load1\"),\n │ \"load5\": s.get(\"load5\"),\n \"load15\": s.get(\"load15\"),\n │ \"mem_used\": s.get(\"mem_used\"),\n \"mem_total\": mem_total,\n │ \"mem_pct\": s.get(\"mem_pct\"),\n \"swap_used\": s.get(\"swap_used\"),\n │ \"swap_total\": s.get(\"swap_total\") or 0,\n \"swap_pct\": s.get(\"swap_pct\"),\n │ \"gpu\": s.get(\"gpu\"),\n \"gpu_name\": s.get(\"gpu_name\"),\n │ \"gpu_temp\": s.get(\"gpu_temp\"),\n \"vram_used\": vram_used,\n │ \"vram_total\": vram_total,\n \"vram_pct\": s.get(\"vram_pct\")\n or │ ((vram_used / vram_total * 100) if (vram_total and vram_used is not None) else None),\n │ \"battery\": s.get(\"battery\"),\n \"battery_status\": s.get(\"battery_status\"),\n │ \"ac_online\": s.get(\"ac_online\"),\n \"uptime\": uptime_str(time.time() - │ psutil.boot_time()),\n \"hostname\": socket.gethostname(),\n \"cores\": │ psutil.cpu_count(logical=True) or 1,\n **await asyncio.to_thread(net_col.sample),\n │ }\n return HTMLResponse(render(\"overview.html\", c=c))", │ "newString": " store = request.app.state.store\n s = store.latest() or Sample()\n │ mem_total = s.mem_total or 0\n vram_total = s.vram_total or 0\n vram_used = │ s.vram_used\n c = {\n \"cpu\": s.cpu,\n \"cpu_temp\": s.cpu_temp,\n │ \"load1\": s.load1,\n \"load5\": s.load5,\n \"load15\": s.load15,\n │ \"mem_used\": s.mem_used,\n \"mem_total\": mem_total,\n \"mem_pct\": │ s.mem_pct,\n \"swap_used\": │ … [796 more chars] │ out Edit applied successfully. │ │ tokens 28 in 840 out 56348 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) a13ac601 │ 2026-08-30 20:11:05 • assistant • Qwen3.8-27B-Think │ │ Now let me verify. First let me re-read the final overview.py to make sure it's correct, then │ run compileall, basedpyright, and start the server + curl. │ │ Let me read the final overview.py. │ │ All edits done. Let me review the final `overview.py` and run verification: │ │ read /home/mac/Code/dashboard/app/routers/overview.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/routers/overview.py" │ } │ out │ /home/mac/Code/dashboard/app/routers/overview.py │ file │ │ 1: import asyncio │ 2: import math │ 3: import socket │ 4: import time │ 5: from dataclasses import fields │ 6: from typing import Any │ 7: │ 8: import psutil │ 9: from fastapi import APIRouter, Request │ 10: from fastapi.responses import HTMLResponse, JSONResponse │ 11: │ 12: from app.collect import net as net_col │ 13: from app.config import get_settings │ 14: from app.render import render, uptime_str │ 15: from app.sample import Sample │ 16: │ 17: router = APIRouter(prefix="/api", tags=["overview"]) │ 18: │ 19: RowAgg = dict[str, float | int | None] │ 20: │ 21: │ 22: def _window(snap: list[Sample], max_points: int) -> list[tuple[float, dict[str, │ RowAgg]]]: │ 23: n = len(snap) │ 24: w = max(1, math.ceil(n / max_points)) │ 25: out: list[tuple[float, dict[str, RowAgg]]] = [] │ 26: for start in range(0, n, w): │ 27: chunk = snap[start : start + w] │ 28: vals: dict[str, list[int | float]] = {} │ 29: for sample in chunk: │ 30: for f in fields(sample): │ 31: if f.name == "ts": │ 32: continue │ 33: v = getattr(sample, f.name) │ 34: if isinstance(v, (int, float)) and not isinstance(v, bool): │ 35: vals.setdefault(f.name, []).append(v) │ 36: row: dict[str, RowAgg] = {} │ 37: for k, lst in vals.items(): │ 38: ints = all(isinstance(v, int) for v in lst) │ 39: avg = sum(lst) / len(lst) │ 40: row[k] = { │ 41: "avg": round(avg) if ints else round(avg, 1), │ 42: "min": min(lst) if ints else round(min(lst), 1), │ 43: "max": max(lst) if ints else round(max(lst), 1), │ 44: } │ 45: out.append((chunk[-1].ts, row)) │ 46: return out │ 47: │ 48: │ 49: @router.get("/overview") │ 50: async def overview(request: Request): │ 51: store = request.app.state.store │ 52: s = store.latest() or Sample() │ 53: mem_total = s.mem_total │ … [1925 more chars] │ │ tokens 19 in 102 out 57216 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:11:09 • assistant • Qwen3.8-27B-Think │ │ overview.py looks good. Now let me run the verification: │ 1. `compileall` on app │ 2. `basedpyright` │ 3. Start server + curl endpoints │ │ Let me first check if basedpyright is available and run compileall. Let me run these. Let me │ check how basedpyright is invoked — it's configured in pyproject.toml `[tool.basedpyright]`. Is │ there a lint script? Let me check. The AGENTS.md says "basedpyright is configured as linter". │ Let me run `uv run basedpyright` on the app directory. │ │ Let me run compileall and basedpyright in parallel first (they're independent). Then start the │ server and curl. │ │ Actually, let me be careful — basedpyright might not be installed as a project dependency. Let │ me check. It's not in pyproject dependencies. So it might be available globally or via uvx. Let │ me try `uv run basedpyright app` first; if not found, try `basedpyright` or `uvx basedpyright`. │ │ Let me run compileall first (definitely works via uv), and check for basedpyright availability. │ │ `overview.py` looks correct. Now let me verify — compile check and lint: │ │ 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\"" │ } │ out COMPILE_OK │ bash command -v basedpyright && basedpyright --version || echo "no global basedpy… ok 0.0s │ in │ { │ "command": "command -v basedpyright && basedpyright --version || echo \"no global │ basedpyright\"" │ } │ out no global basedpyright │ │ tokens 1339 in 354 out 57336 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:11:22 • assistant • Qwen3.8-27B-Think │ │ compileall passed. No global basedpyright. Let me try to run it via uvx or check if it's │ available through uv tool. Let me try `uvx basedpyright app`. That would download it. │ Alternatively, maybe it's available in the venv. Let me check `uv run basedpyright`. │ │ bash uv run basedpyright app 2>&1 | tail -30 || echo "exit=$?" ok 0.0s │ in │ { │ "command": "uv run basedpyright app 2>&1 | tail -30 || echo \"exit=$?\"" │ } │ out │ error: Failed to spawn: `basedpyright` │ Caused by: No such file or directory (os error 2) │ │ tokens 29 in 115 out 59028 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:11:26 • assistant • Qwen3.8-27B-Think │ │ basedpyright isn't installed in the venv. Let me try `uvx basedpyright app`. This will download │ and run it. Let me check network availability. Let me try it. │ │ bash uvx basedpyright app 2>&1 | tail -40 || echo "exit=$?" ok 0.0s │ in │ { │ "command": "uvx basedpyright app 2>&1 | tail -40 || echo \"exit=$?\"" │ } │ out │ /home/mac/Code/dashboard/app/__init__.py │ /home/mac/Code/dashboard/app/__init__.py: error: Cycle detected in import chain │ /home/mac/Code/dashboard/app/__init__.py │ /home/mac/Code/dashboard/app/routers/__init__.py │ /home/mac/Code/dashboard/app/routers/journal.py (reportImportCycles) │ /home/mac/Code/dashboard/app/__init__.py: error: Cycle detected in import chain │ /home/mac/Code/dashboard/app/__init__.py │ /home/mac/Code/dashboard/app/routers/__init__.py │ /home/mac/Code/dashboard/app/routers/services.py (reportImportCycles) │ /home/mac/Code/dashboard/app/__init__.py:1:17 - warning: Import "routers" is not accessed │ (reportUnusedImport) │ /home/mac/Code/dashboard/app/collect/gpu.py │ /home/mac/Code/dashboard/app/collect/gpu.py:129:9 - warning: Result of call expression is │ of type "bool" and is not used; assign to variable "_" if this is intentional │ (reportUnusedCallResult) │ /home/mac/Code/dashboard/app/config.py │ /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:120:29 - warning: Function calls and │ mutable objects not allowed within parameter default value expression │ (reportCallInDefaultInitializer) │ /home/mac/Code/dashboard/app/plugins/llamacpp.py:131:31 - warni │ … [967 more chars] │ │ tokens 44 in 89 out 59171 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:11:34 • assistant • Qwen3.8-27B-Think │ │ The basedpyright output shows 2 errors and 13 warnings. Let me analyze which are pre-existing │ vs. introduced by my changes. │ │ **Errors:** │ 1. `app/__init__.py`: Cycle detected in import chain (routers/journal.py and │ routers/services.py). This is pre-existing — my changes didn't touch the import cycle between │ `app/__init__.py` → `routers/__init__.py` → journal/services. Let me verify this is pre-existing │ by checking git. Actually, I should verify these errors existed before my change. Let me check │ git status/diff and run basedpyright on the original via git stash... Actually, let me first │ reason about it. │ │ The cycle: `app/__init__.py` line 1 imports `routers`. Let me check `app/__init__.py`. │ │ Actually wait — I saw `app/__init__.py` is only referenced. Let me check what's in │ `app/__init__.py` and `app/routers/__init__.py`. The cycle is `app/__init__.py` → `routers` → │ `routers/journal.py`. This is unrelated to my Sample changes. My changes added `app.sample` │ imports which is a leaf (no app imports). So this cycle is pre-existing. │ │ Let me verify by checking git — run basedpyright against the original code. Actually, simpler: │ let me check `git stash` is risky. Let me instead reason: the cycle involves `app/__init__.py` │ and `routers/journal.py` and `routers/services.py`, none of which I modified. So it's │ pre-existing. │ │ 2. `app/collect/gpu.py:129:9 - warning: Result of call expression is of type "bool" and is not │ used` — this IS from my change! Line 129 is in `fill`: │ ```python │ def fill(s: Sample) -> None: │ if not _amd(s): │ _nvidia(s) │ ``` │ Line 129 is `_nvidia(s)` — the result (bool) is not used. This is a NEW warning I introduced. I │ should fix this — either ignore the result with `_ = _nvidia(s)` or restructure. The AGENTS.md │ convention: "Match surrounding style; keep functions small and typed." The warning is a │ `reportUnusedCallResult` (warning, not error). But it's a new warning I introduced, so I should │ address it to keep the codebase clean (the codebase currentl │ … [6008 more chars] │ │ Compile passes. There are 2 import-cycle errors and a new warning in my `gpu.py` change. Let me │ confirm the cycles are pre-existing (I didn't touch those files) and check my full diff: │ │ read /home/mac/Code/dashboard/app/__init__.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/__init__.py" │ } │ out │ /home/mac/Code/dashboard/app/__init__.py │ file │ │ 1: from app import routers # noqa: F401 │ │ (End of file - total 1 lines) │ │ read /home/mac/Code/dashboard/app/routers/__init__.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/routers/__init__.py" │ } │ out │ /home/mac/Code/dashboard/app/routers/__init__.py │ file │ │ 1: from app.routers import disks, journal, overview, plugins, processes, services │ 2: │ 3: __all__ = ["overview", "disks", "processes", "journal", "services", "plugins"] │ │ (End of file - total 3 lines) │ │ bash git status --short && echo "---DIFFSTAT---" && git diff --stat ok 0.0s │ in │ { │ "command": "git status --short && echo \"---DIFFSTAT---\" && git diff --stat" │ } │ out │ M AGENTS.md │ M app/collect/cpu.py │ M app/collect/disks.py │ M app/collect/gpu.py │ M app/collect/mem.py │ M app/collect/power.py │ M app/routers/overview.py │ M app/sampling.py │ M app/state.py │ ?? app/sample.py │ ---DIFFSTAT--- │ AGENTS.md | 2 +- │ app/collect/cpu.py | 17 +++++++------ │ app/collect/disks.py | 4 ++-- │ app/collect/gpu.py | 63 ++++++++++++++++++++----------------------------- │ app/collect/mem.py | 20 ++++++++-------- │ app/collect/power.py | 17 +++++++------ │ app/routers/overview.py | 59 +++++++++++++++++++++++---------------------- │ app/sampling.py | 15 ++++++------ │ app/state.py | 15 +++++++----- │ 9 files changed, 103 insertions(+), 109 deletions(-) │ │ tokens 764 in 2259 out 59304 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) 51ee1d2d │ 2026-08-30 20:12:46 • assistant • Qwen3.8-27B-Think │ │ Wait, `AGENTS.md` is shown as modified (`M AGENTS.md`). I didn't modify AGENTS.md! Let me check │ — did something modify it? Let me look at the diff for AGENTS.md. It says `2 +-` (1 insertion, 1 │ deletion). Hmm. I didn't touch it. Let me check what changed. │ │ Wait, maybe it was already modified before I started (pre-existing uncommitted change). Let me │ check `git diff AGENTS.md`. │ │ Also, the import cycle: `app/__init__.py` line 1: `from app import routers`. And │ `app/routers/__init__.py` imports the router modules (journal, services, etc.). The cycle │ detected is `app/__init__.py` → `app.routers` → `journal.py`. │ │ How is that a cycle? `app/__init__.py` does `from app import routers`. When Python imports │ `app`, it starts executing `app/__init__.py`, which does `from app import routers` → imports │ `app.routers` → executes `routers/__init__.py` → `from app.routers import disks, journal, │ overview, plugins, processes, services`. Now importing `app.routers.journal` → │ `app.routers.journal` imports... let me check what journal.py imports. If journal.py does `from │ app import X` or `from app.something`, and `app` isn't fully initialized yet (we're still in │ `app/__init__.py`), that creates a cycle. │ │ This is definitely pre-existing and unrelated to my changes. I didn't touch `app/__init__.py`, │ `app/routers/__init__.py`, or `journal.py`/`services.py`. │ │ Let me confirm the AGENTS.md change isn't mine. Let me check git diff AGENTS.md. If it's │ pre-existing, I should leave it alone (not my concern, but I shouldn't have accidentally changed │ it). Let me verify. │ │ Actually, I'm confident I didn't modify AGENTS.md — I only used the edit/write tools on app │ files. Let me check the diff to be sure it's pre-existing. │ │ Let me now: │ 1. Check `git diff AGENTS.md` to see the (pre-existing?) change. │ 2. Fix the gpu.py unused-result warning. │ │ For the gpu.py fix, I'll change: │ ```python │ def fill(s: Sample) -> None: │ if not _amd(s): │ _nvidia(s) │ ``` │ to silence the unused result. The basedpyright sugges │ … [2558 more chars] │ │ `app/__init__.py` and `routers/__init__.py` are untouched by me, so those 2 cycle errors are │ pre-existing. But I notice `AGENTS.md` shows as modified — I didn't touch it. Let me check that │ diff and fix the new `gpu.py` warning: │ │ bash git diff AGENTS.md ok 0.0s │ in │ { │ "command": "git diff AGENTS.md" │ } │ out │ diff --git a/AGENTS.md b/AGENTS.md │ index 4d56531..1b7196b 100644 │ --- a/AGENTS.md │ +++ b/AGENTS.md │ @@ -58,7 +58,7 @@ agent's own shell command line and kills the session. │ ## Conventions │ │ - No code comments (the codebase has none). │ -- basedpyright is configured as linter │ +- basedpyright is configured as linter, use with `uvx`. │ - Match surrounding style; keep functions small and typed where the codebase already is. │ - Keep polling endpoints cheap: collectors may cache lookups (unit names, │ enabled-state maps, SSID, temperature paths) with short TTLs. │ read /home/mac/Code/dashboard/app/collect/gpu.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/gpu.py", │ "offset": 126, │ "limit": 12 │ } │ out │ /home/mac/Code/dashboard/app/collect/gpu.py │ file │ │ 126: │ 127: def fill(s: Sample) -> None: │ 128: if not _amd(s): │ 129: _nvidia(s) │ │ (End of file - total 129 lines) │ │ │ tokens 62733 in 1406 out 0 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:15:26 • assistant • Qwen3.8-27B-Think │ │ The AGENTS.md change is pre-existing (it was already modified before I started — it adds ", use │ with `uvx`."). Not my change. I'll leave it alone (I won't commit it, and I wasn't asked to). It │ was already in the working tree. │ │ Wait, actually — was it? Let me reconsider. The AGENTS.md content shown in the system prompt at │ the start had: │ "- basedpyright is configured as linter, use with `uvx`." │ │ Yes! The system prompt AGENTS.md already had the ", use with `uvx`." version. So this change was │ already in the working tree before I started. It's a pre-existing uncommitted change. I'll leave │ it. It's not part of my task. │ │ Now let me fix the gpu.py warning. Change: │ ```python │ def fill(s: Sample) -> None: │ if not _amd(s): │ _nvidia(s) │ ``` │ to: │ ```python │ def fill(s: Sample) -> None: │ _ = _amd(s) or _nvidia(s) │ ``` │ │ Let me make that edit. │ │ The `AGENTS.md` change is pre-existing (already in the working tree before I started — it's not │ mine, and not part of this task). Now let me fix the one new warning in `gpu.py` — the unused │ `_nvidia(s)` result: │ │ edit /home/mac/Code/dashboard/app/collect/gpu.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/collect/gpu.py", │ "oldString": "def fill(s: Sample) -> None:\n if not _amd(s):\n _nvidia(s)", │ "newString": "def fill(s: Sample) -> None:\n _ = _amd(s) or _nvidia(s)" │ } │ out Edit applied successfully. │ │ tokens 277 in 406 out 64139 cached 0 written $0.0000 tool-calls │ │ patch 1 file(s) 02e3bc63 │ 2026-08-30 20:15:39 • assistant • Qwen3.8-27B-Think │ │ Now let me re-run basedpyright to confirm my new warning is gone and only the 2 pre-existing │ cycle errors remain. Let me also establish a baseline: run basedpyright on a clean tree to │ confirm the 2 cycle errors are pre-existing. │ │ Actually, let me confirm the pre-existing errors by stashing. But the new file `app/sample.py` │ is untracked. If I `git stash -u`, it stashes sample.py too. Then the collectors are original │ (dict-based), no reference to Sample. Let me verify baseline with `git stash -u`, run │ basedpyright, then `git stash pop`. │ │ Risk: `git stash pop` could conflict. But since no other changes will happen in between, pop │ should be clean. Let me do it carefully in one chained command so it always pops. │ │ Actually, safer: use `git stash push -u` then `git stash pop` in the same command with `;` so │ pop runs regardless. But if basedpyright takes long... it's fast. Let me do: │ │ ``` │ git stash push -u -m baseline_check && uvx basedpyright app 2>&1 | tail -8; git stash pop │ ``` │ │ Wait, if I use `&&` after stash, and basedpyright fails (non-zero exit because of errors), the │ `;` before pop ensures pop still runs. Let me structure: │ ``` │ git stash push -u -m baseline && (uvx basedpyright app 2>&1 | tail -8); git stash pop │ ``` │ │ Hmm, the `&&` after stash: if stash succeeds, run the basedpyright part. The basedpyright part │ is `( ... | tail -8)`. Then `; git stash pop`. This ensures pop runs. │ │ Actually there's a subtlety: `git stash push -u` — will it stash `__pycache__`? No, those are │ gitignored. It'll stash modified tracked files + untracked non-ignored files (app/sample.py). │ Good. │ │ Let me run this to establish the baseline. Actually, let me reconsider whether this is worth the │ risk. I'm quite confident the 2 cycle errors are pre-existing because: │ 1. I didn't modify `app/__init__.py`, `app/routers/__init__.py`, `journal.py`, or `services.py`. │ 2. My new `app/sample.py` only imports `dataclasses` — cannot be part of a cycle. │ 3. The cycle is entirely within the routers import chai │ … [1690 more chars] │ │ Let me establish the pre-existing baseline: stash my tracked changes (leaving the new │ `sample.py`), lint the original code, then restore: │ │ bash git stash push -m baseline_check; uvx basedpyright app 2>&1 | tail -6; git s… ok 0.0s │ in │ { │ "command": "git stash push -m baseline_check; uvx basedpyright app 2>&1 | tail -6; git │ stash pop" │ } │ out │ Saved working directory and index state On main: baseline_check │ /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 errors, 12 warnings, 0 notes │ On branch main │ Your branch is up to date with 'origin/main'. │ │ Changes not staged for commit: │ (use "git add ..." to update what will be committed) │ (use "git restore ..." to discard changes in working directory) │ modified: AGENTS.md │ modified: app/collect/cpu.py │ modified: app/collect/disks.py │ modified: app/collect/gpu.py │ modified: app/collect/mem.py │ modified: app/collect/power.py │ modified: app/routers/overview.py │ modified: app/sampling.py │ modified: app/state.py │ │ Untracked files: │ (use "git add ..." to include in what will be committed) │ app/sample.py │ │ no changes added to commit (use "git add" and/or "git commit -a") │ Dropped refs/stash@{0} (242919fd6c2cf6f9e41ffbb86902b8a8e705e153) │ │ tokens 19 in 1030 out 64822 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:16:16 • assistant • Qwen3.8-27B-Think │ │ Baseline (original code): **2 errors, 12 warnings**. │ After my changes: **2 errors, 13 warnings** (the 13th was the gpu.py unused-result, which I've │ now fixed). │ │ So my changes should now bring it to **2 errors, 12 warnings** — matching the baseline exactly │ (no new warnings). Let me re-run basedpyright to confirm the fix brought it back to 2 errors, 12 │ warnings. │ │ Let me re-run basedpyright on my current (fixed) code. │ │ Baseline is **2 errors, 12 warnings** (both errors are the pre-existing router import cycles). │ My fix should return to that exact count. Let me confirm: │ │ bash uvx basedpyright app 2>&1 | tail -6 ok 0.0s │ in │ { │ "command": "uvx basedpyright app 2>&1 | tail -6" │ } │ out │ /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 errors, 12 warnings, 0 notes │ │ tokens 460 in 193 out 65870 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:16:29 • assistant • Qwen3.8-27B-Think │ │ Now it's back to **2 errors, 12 warnings** — exactly matching the baseline. No new warnings │ introduced by my changes. The 2 errors are the pre-existing import cycles. │ │ Now let me start the server and verify the endpoints work. Let me first check if the server is │ already running, and if so restart it (since I changed Python code, a restart is needed per │ AGENTS.md). │ │ Let me check if a server is running on 8501. Let me check for the process and start/restart. │ │ Per AGENTS.md: │ ```sh │ PID=$(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 │ ``` │ │ Let me check current state first, then start. Let me check if there's a running server. │ │ Back to the exact baseline (2 pre-existing cycle errors, 12 warnings) — my changes add no new │ warnings. Now let me start the server and verify the endpoints actually work. First check │ current state: │ │ bash pgrep -af "python main\.py" || echo "no server running" ok 0.0s │ in │ { │ "command": "pgrep -af \"python main\\.py\" || echo \"no server running\"" │ } │ out 112342 uv run python main.py │ │ tokens 203 in 291 out 66523 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:16:38 • assistant • Qwen3.8-27B-Think │ │ There's a server running (PID 112342 is the `uv run` wrapper). I need to restart it since I │ changed Python code. Let me use the AGENTS.md restart procedure carefully. │ │ The AGENTS.md says: │ ```sh │ PID=$(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 │ ``` │ │ Note: `pgrep -f "python main\.py"` matches the `uv run python main.py` process. Killing that PID │ should terminate the uv wrapper and its child. Let me do it. │ │ Actually, killing the `uv run` wrapper PID — does it also kill the child python process? `uv run │ python main.py` spawns a child. Killing the parent may orphan the child. Hmm. But the AGENTS.md │ procedure says to kill that PID and it's the documented approach. Let me follow it. Actually, to │ be safe, let me kill the whole process group or match the child too. But the AGENTS.md │ explicitly says NEVER use `pkill -f "uv run python main.py"`. │ │ Let me follow the documented procedure: get PID, kill it, then start. But to ensure the old │ python child dies, let me check the process tree. Actually, the safest is to kill the PID and │ its process group. `kill "$PID"` kills just the process. Let me check if there's a child python │ process. │ │ Let me look at the process tree for the server. │ │ A server is running. Since I changed Python code, I need to restart it. Let me check the process │ tree first: │ │ bash ps -o pid,ppid,cmd -C python,uv 2>/dev/null | grep -E "main.py|uv run" || ec… ok 0.0s │ in │ { │ "command": "ps -o pid,ppid,cmd -C python,uv 2>/dev/null | grep -E \"main.py|uv run\" || │ echo \"checking pids\"; echo \"---\"; pgrep -af \"main.py\"" │ } │ out │ 112342 1163 uv run python main.py │ --- │ 112342 uv run python main.py │ 112346 /home/mac/Code/dashboard/.venv/bin/python3 main.py │ │ tokens 27 in 445 out 67016 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:16:52 • assistant • Qwen3.8-27B-Think │ │ There are two processes: │ - 112342: `uv run python main.py` (the wrapper, ppid 1163) │ - 112346: `/home/mac/Code/dashboard/.venv/bin/python3 main.py` (the actual python process) │ │ I need to kill both. The AGENTS.md procedure kills `pgrep -f "python main\.py" | head -1` which │ would be 112342 (the uv wrapper, first match). But that leaves 112346 (the child python) │ possibly orphaned. │ │ Let me kill both PIDs explicitly to be clean. I'll kill 112346 (the real server) and 112342 │ (wrapper). Actually, killing the wrapper first might not kill the child. Let me kill the child │ python directly, and the wrapper. │ │ Let me kill both. I'll use `kill 112346 112342`. Then verify they're gone, then start a new one. │ │ Actually, the AGENTS.md warns against `pkill -f "uv run python main.py"` because it matches the │ agent's own shell. Using explicit PIDs is safe. Let me kill both PIDs. │ │ Let me be careful: after killing, the port 8501 should be freed. Then start new server. │ │ Let me do: │ 1. Kill both PIDs │ 2. Wait a moment / verify │ 3. Start new server │ 4. Wait for it to come up │ 5. Curl endpoints │ │ Let me kill and restart. │ │ Two processes: the `uv` wrapper (112342) and the actual python server (112346). I'll kill both │ by explicit PID (avoiding the `pkill` pattern that AGENTS.md warns about), then start fresh: │ │ bash kill 112346 112342 2>/dev/null; sleep 1; pgrep -af "main.py" || echo "old se… ok 0.0s │ in │ { │ "command": "kill 112346 112342 2>/dev/null; sleep 1; pgrep -af \"main.py\" || echo \"old │ server stopped\"" │ } │ out 120993 /usr/bin/bash -c kill 112346 112342 2>/dev/null; sleep 1; pgrep -af "main.py" || │ echo "old server stopped" │ │ tokens 68 in 472 out 67487 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:17:07 • assistant • Qwen3.8-27B-Think │ │ The `pgrep -af "main.py"` matched my own bash command (120993) because the command line contains │ "main.py". That's exactly the pitfall AGENTS.md warns about. The actual server processes │ (112346, 112342) are gone (not in the list). The only match is my own grep command. So the old │ server is stopped. │ │ Let me verify more carefully by checking the port or the specific PIDs. Let me check if │ 112346/112342 still exist, and if port 8501 is free. │ │ The only "match" is my own grep command (the pitfall AGENTS.md warns about). Let me confirm the │ actual PIDs are gone and the port is free: │ │ bash kill -0 112346 2>/dev/null && echo "112346 alive" || echo "112346 gone"; kil… ok 0.0s │ in │ { │ "command": "kill -0 112346 2>/dev/null && echo \"112346 alive\" || echo \"112346 gone\"; │ kill -0 112342 2>/dev/null && echo \"112342 alive\" || echo \"112342 gone\"; curl -s -o │ /dev/null -w \"port8501=%{http_code}\\n\" --max-time 2 http://127.0.0.1:8501/api/overview │ || echo \"port 8501 not responding (free)\"" │ } │ out │ 112346 gone │ 112342 gone │ port8501=000 │ port 8501 not responding (free) │ │ tokens 67 in 335 out 68027 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:17:17 • assistant • Qwen3.8-27B-Think │ │ Both old processes are gone and port 8501 is free. Now let me start a fresh server in the │ background. │ │ Both gone, port free. Now start a fresh server in the background: │ │ bash setsid nohup uv run python main.py > /tmp/dash.log 2>&1 < /dev/null & disown… ok 0.0s │ in │ { │ "command": "setsid nohup uv run python main.py > /tmp/dash.log 2>&1 < /dev/null & disown; │ echo \"started, pid tree:\"; sleep 3; pgrep -af \"main.py\" | grep -v \"bash -c\"" │ } │ out │ started, pid tree: │ 121061 uv run python main.py │ 121065 /home/mac/Code/dashboard/.venv/bin/python3 main.py │ │ tokens 53 in 127 out 68428 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:17:24 • assistant • Qwen3.8-27B-Think │ │ Server is up (121061 wrapper, 121065 python). Now let me verify the endpoints work. Let me: │ 1. Wait a couple seconds for the sampler to produce at least one sample (sample_interval default │ 2s). │ 2. curl all the endpoints: /api/overview, /api/disks, /api/processes, /api/journal, │ /api/services, /api/plugins, /api/history │ 3. Check /tmp/dash.log for tracebacks. │ │ Let me give it a few seconds for samples to accumulate, then curl everything and check the │ history endpoint specifically (that's where the _window logic is) and overview (Sample attribute │ access). │ │ Let me wait ~5s then curl. Let me do the curls and check the history JSON structure to confirm │ the null-padding and series keys are correct. │ │ Let me run the verification curls. I'll wait for samples first. │ │ Server is up. Let me give the sampler a few seconds to accumulate samples, then hit all │ endpoints and inspect the history JSON (which exercises the refactored `_window`/`Sample` │ logic): │ │ bash sleep 6; for ep in overview disks processes journal services plugins history… ok 0.0s │ in │ { │ "command": "sleep 6; for ep in overview disks processes journal services plugins history; │ do code=$(curl -s -o /dev/null -w \"%{http_code}\" --max-time 5 │ http://127.0.0.1:8501/api/$ep); echo \"/api/$ep -> $code\"; done" │ } │ out │ /api/overview -> 200 │ /api/disks -> 200 │ /api/processes -> 200 │ /api/journal -> 200 │ /api/services -> 200 │ /api/plugins -> 200 │ /api/history -> 200 │ │ tokens 53 in 332 out 68608 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:17:41 • assistant • Qwen3.8-27B-Think │ │ All endpoints return 200. Now let me verify the actual content is correct, especially: │ 1. `/api/history` — the series should have the metric keys (cpu, mem, etc.) with avg/min/max and │ proper null-padding. Let me check the keys. │ 2. `/api/overview` — the HTML should render with real values. │ 3. Check `/tmp/dash.log` for tracebacks. │ │ Let me inspect the history JSON structure. Let me get the keys of series and check alignment of │ ts/arrays. Let me use python to pretty-check it, or just curl and look. Let me use a small │ python one-liner to validate the structure: ts length == each series array length, and keys are │ the expected metrics. │ │ Actually, let me just curl /api/history and examine it. It might be large. Let me use python via │ uv to fetch and validate. │ │ Let me write a quick validation using the venv python (httpx is available, or urllib). Let me │ use urllib to avoid extra deps. Actually, let me just curl and pipe to a python check. │ │ Let me do: │ ``` │ curl -s http://127.0.0.1:8501/api/history | uv run python -c "import sys,json; │ d=json.load(sys.stdin); print('ts_len', len(d['ts'])); ks=d['series']; print('keys', │ sorted(ks)); [print(k, len(ks[k]['avg']), 'nulls', ks[k]['avg'].count(None)) for k in ks]; │ print('aligned', all(len(v['avg'])==len(d['ts']) for v in ks.values()))" │ ``` │ │ This validates ts length, series keys, array lengths, null counts, and alignment. │ │ Let me run this. Also check overview HTML for real values and the log. │ │ All 200s. Let me validate the `/api/history` JSON structure (keys, array alignment, │ null-padding) and check the overview HTML has real values plus scan the log for tracebacks: │ │ bash curl -s --max-time 5 http://127.0.0.1:8501/api/history | uv run python -c " … ok 0.0s │ in │ { │ "command": "curl -s --max-time 5 http://127.0.0.1:8501/api/history | uv run python -c │ \"\nimport sys, json\nd = json.load(sys.stdin)\nks = d['series']\nprint('ts_len:', │ len(d['ts']))\nprint('series keys:', sorted(ks))\nprint('sample cpu:', ks.get('cpu', │ {}).get('avg', [])[-5:])\nprint('all arrays aligned to ts:', all(len(v['avg']) == │ len(d['ts']) for v in ks.values()))\nprint('each row has avg/min/max:', all(set(v) == │ {'avg','min','max'} for v in ks.values()))\n\"" │ } │ out │ ts_len: 18 │ series keys: ['battery', 'cpu', 'cpu_temp', 'gpu', 'gpu_temp', 'io_read', 'io_write', │ 'load1', 'load15', 'load5', 'mem_pct', 'mem_total', 'mem_used', 'swap_pct', 'swap_total', │ 'swap_used', 'vram_pct', 'vram_total', 'vram_used'] │ sample cpu: [7.4, 7.2, 6.7, 8.9, 8.9] │ all arrays aligned to ts: True │ each row has avg/min/max: True │ bash curl -s --max-time 5 http://127.0.0.1:8501/api/overview | grep -oE "card-val… ok 0.0s │ in │ { │ "command": "curl -s --max-time 5 http://127.0.0.1:8501/api/overview | grep -oE │ \"card-value\\\">[^<]+\" | head -6; echo \"--- TRACEBACKS ---\"; grep -c Traceback │ /tmp/dash.log" │ } │ out │ card-value">7.6% │ card-value">7.2 GiB │ card-value">100% │ card-value">HyperSquirrel │ card-value">1h 18m │ --- TRACEBACKS --- │ 0 │ │ tokens 73 in 694 out 68994 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:18:02 • assistant • Qwen3.8-27B-Think │ │ Everything works: │ │ 1. `/api/history`: │ - `ts_len: 18` (18 samples accumulated) │ - Series keys include all the numeric metrics: `battery, cpu, cpu_temp, gpu, gpu_temp, │ io_read, io_write, load1, load15, load5, mem_pct, mem_total, mem_used, swap_pct, swap_total, │ swap_used, vram_pct, vram_total, vram_used`. │ - Notably, `ts`, `gpu_name`, `battery_status`, `ac_online` are correctly EXCLUDED (ts │ skipped, others non-numeric). │ - All arrays aligned to ts: True │ - Each row has avg/min/max: True │ - cpu sample shows real values [7.4, 7.2, 6.7, 8.9, 8.9] │ │ 2. `/api/overview`: │ - Real values rendering: "7.6%" (cpu), "7.2 GiB" (mem), "100%" (?), "HyperSquirrel" │ (hostname), "1h 18m" (uptime) │ - Wait, "100%" — that might be mem_pct or a battery? Actually hostname is "HyperSquirrel", │ uptime "1h 18m". The "100%" — hmm. Let me think. The card-value order in the template: CPU │ (7.6%), Memory (7.2 GiB / ... (X%)), then battery if present, Network (ssid or muted), │ Uptime. The grep `card-value">[^<]+` catches the first card-value text. So: 7.6% (cpu), 7.2 │ GiB (mem used, the value part before the span), 100% (?) — could be swap or vram pct... │ Actually the "100%" might be from a `barrow` width style or... no, grep is on `card-value">`. │ │ Hmm, "100%" as a card-value. Let me reconsider. Actually wait — the memory card: `
{{ c.mem_used | humanize }} ...` so card-value text = │ "7.2 GiB" (the span is separate). Then the "100%"... │ │ Oh wait, it could be the network card showing ssid "HyperSquirrel"? No, that's caught │ separately as "HyperSquirrel". Let me not over-analyze; these are all plausible real values. │ The "100%" could be vram or a pct that happens to be 100. Actually, it doesn't matter much — │ the point is real values render, no dashes/None, no errors. │ │ Actually, let me reconsider "100%". Could be `ac_online`? No. Could it be that mem is 100%? │ Unlikely. Or it's the hostname "HyperSquirrel" being a fun hostname. Whatever — val │ … [1370 more chars] │ │ Everything checks out. Let me do one final sanity check — ensure no `None` is leaking into the │ rendered overview HTML (the classic dict→attribute regression risk): │ │ bash curl -s --max-time 5 http://127.0.0.1:8501/api/overview | grep -o "None" | h… ok 0.0s │ in │ { │ "command": "curl -s --max-time 5 http://127.0.0.1:8501/api/overview | grep -o \"None\" | │ head && echo \"FOUND None above (if any)\" || echo \"no 'None' in overview HTML\"; echo │ \"--- log tail ---\"; tail -3 /tmp/dash.log" │ } │ out │ FOUND None above (if any) │ --- log tail --- │ │ tokens 201 in 1111 out 69762 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:18:38 • assistant • Qwen3.8-27B-Think │ │ Hmm, the grep found "None" — wait, the `&&` logic: `grep -o "None"` — if it found matches, it │ prints them AND exits 0, so `&&` runs `echo "FOUND None above (if any)"`. But the output shows │ "FOUND None above (if any)" but no actual "None" lines printed above it. That's odd. │ │ Wait, `grep -o "None"` would print each match on its own line. If it found matches, they'd │ appear. But I see "FOUND None above" with no "None" lines before it. │ │ Oh! I think the issue is: `grep -o "None"` returned exit 0 because... no. Let me reconsider. │ Actually `head` with no input... no. │ │ Wait, actually the problem: the `|| echo "no 'None'..."` didn't run (we see the && branch ran). │ So grep exited 0, meaning it matched "None" somewhere. But `grep -o "None"` should print the │ matched "None" text. Unless... the matched output got consumed. Hmm. │ │ Wait, let me reconsider. Maybe "None" appears in the HTML (e.g., in a CSS class or data │ attribute or somewhere). Let me look for where "None" appears in the overview HTML. It could be │ a legitimate occurrence (e.g., a CSS variable, or a JS value, or the word in some context). But │ my concern is whether a Python `None` is being rendered as the string "None" in a data value. │ │ Let me find the actual context. Let me grep with context in the overview HTML. Let me fetch it │ and search for "None" with surrounding context. │ │ Actually, the earlier card-value grep showed clean values (7.6%, 7.2 GiB, 100%, HyperSquirrel, │ 1h 18m). So the "None" is elsewhere — possibly in a CSS class name or some other HTML attribute, │ OR in a value I didn't capture. Let me look at the actual context of "None" in the HTML. │ │ Let me fetch the overview HTML and find "None" with context. │ │ Let me find where "None" appears in the overview HTML with context, to rule out a leaked Python │ `None`: │ │ bash curl -s --max-time 5 http://127.0.0.1:8501/api/overview > /tmp/ov.html; grep… ok 0.0s │ in │ { │ "command": "curl -s --max-time 5 http://127.0.0.1:8501/api/overview > /tmp/ov.html; grep │ -oE \".{25}None.{25}\" /tmp/ov.html | head" │ } │ out (no output) │ │ tokens 26 in 566 out 71075 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:18:58 • assistant • Qwen3.8-27B-Think │ │ No output from `grep -oE ".{25}None.{25}"`. That means "None" either doesn't appear with 25 │ chars of context on both sides (maybe it's near a line boundary or the line is short), or "None" │ doesn't actually appear in this fresh fetch. │ │ Wait — the previous check said "FOUND None" but this one finds nothing with context. Let me │ reconsider. The previous command was: │ ``` │ curl ... | grep -o "None" | head && echo "FOUND None above (if any)" || echo "no 'None'..." │ ``` │ │ Hmm, actually the operator precedence: `A | B | head && C || D`. This is `(A | B | head) && C || │ D`. `grep -o "None" | head` — if grep finds nothing, grep exits 1, but it's piped to head. The │ exit status of a pipeline is the exit status of the last command (`head`), which exits 0 even │ with no input! So `head` always exits 0, so `&& C` always runs, printing "FOUND None above (if │ any)" regardless. That was a false positive in my test logic! │ │ So the "FOUND None" was a bug in my shell logic (head always exits 0). The actual `grep -o │ "None"` produced no output (no matches), but `head` still exited 0. │ │ Let me confirm properly: `grep -c "None" /tmp/ov.html` or `grep -o "None" | wc -l`. │ │ Let me check the count of "None" in the fetched file. │ │ My earlier check had a shell-logic bug (`head` always exits 0, so it falsely reported "found"). │ Let me count occurrences properly: │ │ bash echo "None count in overview: $(grep -c None /tmp/ov.html)"; echo "literal '… ok 0.0s │ in │ { │ "command": "echo \"None count in overview: $(grep -c None /tmp/ov.html)\"; echo \"literal │ 'None' tokens: $(grep -oE '\\bNone\\b' /tmp/ov.html | wc -l)\"; echo \"--- │ mem/battery/vram rows ---\"; grep -oE \"humanize[^ ]*|on battery|on AC|no GPU|no │ connection\" /tmp/ov.html | head" │ } │ out │ None count in overview: 0 │ literal 'None' tokens: 0 │ --- mem/battery/vram rows --- │ on AC │ │ tokens 19 in 494 out 71666 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:19:14 • assistant • Qwen3.8-27B-Think │ │ Confirmed: **0** occurrences of "None" in the overview HTML. The earlier "FOUND None" was a │ false positive from my shell logic (head exiting 0). No Python `None` is leaking into the │ rendered output. │ │ The "on AC" appears, meaning `ac_online` is True and rendering correctly (the power collector's │ fill worked, `ac_online` = True from the mains/usb detection). │ │ Everything is verified: │ 1. ✅ compileall: OK │ 2. ✅ basedpyright: back to baseline (2 pre-existing cycle errors, 12 warnings) — no new │ warnings │ 3. ✅ All 7 endpoints return 200 │ 4. ✅ /api/history: correct metric keys (ts + non-numeric fields properly excluded), arrays │ aligned, avg/min/max present, real values │ 5. ✅ /api/overview: real values render, 0 "None" tokens, power (on AC) works │ 6. ✅ /tmp/dash.log: 0 tracebacks │ │ The refactor is complete and fully verified. Let me mark the final todo complete. │ │ Let me update the todos. │ │ Confirmed: **0** `None` tokens in the overview HTML (the earlier "FOUND" was a │ `head`-exit-status false positive), and power state renders correctly ("on AC"). Let me finalize │ the task list. │ │ todowrite 0 todos ok 0.0s │ in │ { │ "todos": [ │ { │ "content": "Create app/sample.py with Sample dataclass", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor cpu/mem/gpu/power collectors to fill pattern", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Change disks.rates() to return tuple[float, float]", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor sampling.py to build Sample", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor state.py HistoryStore to hold Sample", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor overview.py to use Sample attributes + fields()", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Verify: compileall, curl endpoints, basedpyright", │ "status": "completed", │ "priority": "high" │ } │ ] │ } │ out │ [ │ { │ "content": "Create app/sample.py with Sample dataclass", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor cpu/mem/gpu/power collectors to fill pattern", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Change disks.rates() to return tuple[float, float]", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor sampling.py to build Sample", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor state.py HistoryStore to hold Sample", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Refactor overview.py to use Sample attributes + fields()", │ "status": "completed", │ "priority": "high" │ }, │ { │ "content": "Verify: compileall, curl endpoints, basedpyright", │ "status": "completed", │ "priority": "high" │ } │ ] │ │ tokens 44 in 500 out 72178 cached 0 written $0.0000 tool-calls │ 2026-08-30 20:19:29 • assistant • Qwen3.8-27B-Think │ │ The task is complete. Let me write a concise summary of what was done. Per the guidelines, keep │ it concise (under 4 lines ideally, but a refactor summary can be a bit longer with a short │ list). Let me be concise but informative. │ │ The server is now running with the new code. I should mention the key changes and verification │ results. │ │ Done. The ring-buffer sample is now a typed `Sample` dataclass instead of loose dicts. │ │ **Changes:** │ - `app/sample.py` (new) — `@dataclass Sample` with `ts` + all fields, each tightly typed. │ - Collectors use a **fill pattern**: `cpu.fill(s)`, `mem.fill(s)`, `gpu.fill(s)`, │ `power.fill(s)` (GPU internals now `_amd(s)`/`_nvidia(s) -> bool`, no-GPU = defaults). │ `disks.rates() -> tuple[float, float]`. │ - `sampling.py` builds one `Sample`, assigns `io_read`/`io_write`. │ - `state.py` holds `deque[Sample]`; `record()` stamps `sample.ts`; `latest() -> Sample | None`. │ - `overview.py` uses attribute access (`s.cpu`, …) and iterates `fields(sample)` in `_window`, │ skipping `ts`. │ │ **Verification:** │ - `compileall` OK; `basedpyright` back to baseline — **2 errors / 12 warnings**, both │ pre-existing router import cycles (confirmed against a stashed baseline), so my change added │ **zero** new findings. │ - All 7 endpoints return 200; `/api/history` returns all metric keys with aligned `avg/min/max` │ arrays and correct null-padding; overview renders real values with **0** leaked `None`s; `grep │ -c Traceback /tmp/dash.log` → 0. │ │ One intentional behavior note: in the first ~2s (before the first sample lands) the overview now │ shows zeros instead of dashes, since numeric fields are tightly typed rather than `None`. │ │ tokens 290 in 434 out 72721 cached 0 written $0.0000 stop