Files
jarvisChat/gpu.py
gramps d01dd3b761 refactor(arch): modular package structure — split monolithic app.py into config/db/auth/memory/search/rag/gpu + routers/
- config.py: all constants, env vars, limits, skill registry, profiles
- db.py: schema init, connection factory, skill state helpers
- security.py: PIN hashing, audit logging, rate limiting, CSRF, request helpers
- auth.py: session management, PIN verify, auth routes
- memory.py: FTS5 CRUD + remember/forget command processing
- search.py: SearXNG integration, perplexity scoring, refusal/hedge detection
- gpu.py: rocm-smi stats
- rag.py: Qdrant vector search + system prompt assembly
- routers/: conversations, memories, models, presets, profile, settings, skills, chat, search
- app.py: slim entry point, middleware, router registration only

Bumps to v1.9.0
2026-06-16 08:17:46 -07:00

32 lines
1.1 KiB
Python

"""
JarvisChat - AMD GPU stats via rocm-smi.
"""
import json
import logging
import subprocess
log = logging.getLogger("jarvischat")
def get_gpu_stats() -> dict:
try:
result = subprocess.run(
["rocm-smi", "--showuse", "--showmemuse", "--json"],
capture_output=True, text=True, timeout=5,
)
if result.returncode == 0:
data = json.loads(result.stdout)
gpu_info = data.get("card0", {})
gpu_use = gpu_info.get("GPU use (%)", 0)
vram_use = gpu_info.get("GPU Memory Allocated (VRAM%)", 0)
if isinstance(gpu_use, str):
gpu_use = int(gpu_use.replace("%", "").strip() or 0)
if isinstance(vram_use, str):
vram_use = int(vram_use.replace("%", "").strip() or 0)
return {"gpu_percent": gpu_use, "vram_percent": vram_use, "available": True}
except (subprocess.TimeoutExpired, FileNotFoundError, json.JSONDecodeError):
pass
except Exception as e:
log.warning(f"GPU stats error: {e}")
return {"gpu_percent": 0, "vram_percent": 0, "available": False}