Add isolated Athena Deck prototype with demo control and live hardware telemetry

collect_hardware.py

@@ -0,0 +1,66 @@
+"""Read-only Linux collector, executed via SSH stdin; never imports router code."""
+import csv
+import json
+import time
+import subprocess
+from pathlib import Path
+
+
+def read(path):
+    try:
+        return Path(path).read_text().strip()
+    except OSError:
+        return ''
+
+
+def number(value):
+    try:
+        return float(value)
+    except (ValueError, TypeError):
+        return None
+
+
+def ticks():
+    values = list(map(int, read('/proc/stat').splitlines()[0].split()[1:9]))
+    return sum(values), sum(values[3:5])
+
+
+def collect():
+    errors = []
+    cpu = {'name': None, 'percent': None, 'temperature_c': None}
+    try:
+        a, ai = ticks()
+        time.sleep(.25)
+        b, bi = ticks()
+        cpu['percent'] = round(100 * (1 - (bi-ai)/(b-a)), 1) if b > a else None
+    except (ValueError, IndexError):
+        errors.append('CPU-Auslastung nicht verfügbar')
+    for line in read('/proc/cpuinfo').splitlines():
+        if line.startswith('model name'):
+            cpu['name'] = line.split(':', 1)[1].strip()
+            break
+    for path in Path('/sys/class/hwmon').glob('hwmon*'):
+        if read(path / 'name') in ('k10temp', 'coretemp'):
+            value = number(read(path / 'temp1_input'))
+            cpu['temperature_c'] = value / 1000 if value is not None else None
+            break
+    mem = {}
+    for line in read('/proc/meminfo').splitlines():
+        parts = line.split()
+        if parts[0] in ('MemTotal:', 'MemAvailable:'):
+            mem[parts[0][:-1]] = int(parts[1]) * 1024
+    total, available = mem.get('MemTotal'), mem.get('MemAvailable')
+    ram = {'total_bytes': total, 'used_bytes': total-available if total is not None and available is not None else None}
+    gpus = []
+    try:
+        result = subprocess.run(['nvidia-smi', '--query-gpu=index,name,uuid,memory.total,memory.used,utilization.gpu,temperature.gpu', '--format=csv,noheader,nounits'], capture_output=True, text=True, timeout=4, check=True)
+        for row in csv.reader(result.stdout.splitlines(), skipinitialspace=True):
+            index, name, uuid, total, used, usage, temp = row
+            gpus.append(dict(index=int(index), name=name, uuid=uuid, total_mib=number(total), used_mib=number(used), percent=number(usage), temperature_c=number(temp)))
+    except (OSError, subprocess.SubprocessError, ValueError):
+        errors.append('GPU-Messwerte nicht verfügbar')
+    return dict(source='Athena · SSH /proc + hwmon + nvidia-smi', sampled_at=time.time(), cpu=cpu, ram=ram, gpus=gpus, errors=errors)
+
+
+if __name__ == '__main__':
+    print(json.dumps(collect()))