466 lines
15 KiB
Python
466 lines
15 KiB
Python
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"""本机显卡信息采集（支持 NVIDIA / Intel / AMD，Windows & Linux）"""
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import json
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import os
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import platform
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import re
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import shutil
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import subprocess
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import threading
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import time
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from concurrent.futures import ThreadPoolExecutor, as_completed
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_GPU_CACHE = {"ts": 0.0, "data": []}
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_GPU_STATIC_CACHE = {"ts": 0.0, "adapters": []}
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_GPU_CACHE_LOCK = threading.Lock()
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_GPU_CACHE_TTL = 8.0
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_GPU_STATIC_TTL = 120.0
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def _byte_to_mb(val):
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try:
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v = float(val)
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except (TypeError, ValueError):
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return None
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if v <= 0:
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return None
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return round(v / (1024 * 1024), 1)
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def _run_cmd(cmd, timeout=8, shell=False):
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try:
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flags = 0
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if os.name == 'nt' and hasattr(subprocess, 'CREATE_NO_WINDOW'):
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flags = subprocess.CREATE_NO_WINDOW
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proc = subprocess.run(
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cmd,
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capture_output=True,
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text=True,
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timeout=timeout,
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shell=shell,
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encoding='utf-8',
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errors='ignore',
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creationflags=flags,
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)
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if proc.returncode != 0:
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return ''
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return (proc.stdout or '').strip()
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except Exception:
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return ''
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def _vendor_from_name(name):
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n = (name or '').lower()
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if 'nvidia' in n or 'geforce' in n or 'quadro' in n or 'tesla' in n or 'rtx' in n or 'gtx' in n:
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return 'nvidia'
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if 'intel' in n or 'iris' in n or 'uhd' in n:
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return 'intel'
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if 'amd' in n or 'radeon' in n:
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return 'amd'
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return 'other'
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def _is_virtual_gpu(name):
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n = (name or '').lower()
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skip = (
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'microsoft basic', 'remote desktop', 'virtual display', 'virtual adapter',
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'meta virtual', 'spacedesk', 'parsec', 'vmware', 'virtualbox',
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'oray', 'idd driver', 'sunlogin', 'toDesk',
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)
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return any(k in n for k in skip)
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def _merge_gpu(existing, new):
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"""按 index / 规范化名称合并，保留利用率更高的记录。"""
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key = new.get('key') or str(new.get('index', new.get('name', '')))
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old = existing.get(key)
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if not old:
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existing[key] = new
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return
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for field in ('util_percent', 'mem_used_mb', 'mem_total_mb', 'temperature_c'):
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nv = new.get(field)
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ov = old.get(field)
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if nv is not None and (ov is None or (field == 'util_percent' and nv > ov)):
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old[field] = nv
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if len(new.get('name') or '') > len(old.get('name') or ''):
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old['name'] = new['name']
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if new.get('vendor') and new.get('vendor') != 'other':
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old['vendor'] = new['vendor']
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def _finalize_gpu(item):
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util = item.get('util_percent')
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mem_used = item.get('mem_used_mb')
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mem_total = item.get('mem_total_mb')
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mem_rate = None
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if mem_used is not None and mem_total and mem_total > 0:
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mem_rate = round(mem_used / mem_total, 3)
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elif item.get('mem_util_percent') is not None:
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mem_rate = round(float(item['mem_util_percent']) / 100, 3)
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parts = []
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if util is not None:
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parts.append('%s%%' % round(float(util), 1))
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if mem_used is not None and mem_total:
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parts.append('%s / %s' % (_fmt_mb(mem_used), _fmt_mb(mem_total)))
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elif mem_total:
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parts.append(_fmt_mb(mem_total))
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return {
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'index': item.get('index', 0),
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'name': item.get('name') or 'GPU',
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'vendor': item.get('vendor') or 'other',
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'util_percent': round(float(util), 1) if util is not None else None,
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'mem_used_mb': mem_used,
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'mem_total_mb': mem_total,
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'mem_used_rate': mem_rate,
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'temperature_c': item.get('temperature_c'),
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'detail_str': ' / '.join(parts) if parts else '--',
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}
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def _fmt_mb(v):
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if v is None:
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return '--'
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if v >= 1024:
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return '%.2fGB' % (v / 1024)
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if float(v).is_integer():
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return '%dMB' % int(v)
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return '%.1fMB' % float(v)
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def _collect_nvidia_gpus():
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if not shutil.which('nvidia-smi'):
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return []
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out = _run_cmd([
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'nvidia-smi',
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'--query-gpu=index,name,utilization.gpu,utilization.memory,memory.total,memory.used,temperature.gpu',
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'--format=csv,noheader,nounits',
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])
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if not out:
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return []
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gpus = []
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for line in out.splitlines():
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line = line.strip()
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if not line:
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continue
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parts = [p.strip() for p in line.split(',')]
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if len(parts) < 6:
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continue
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try:
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idx = int(parts[0])
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except ValueError:
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idx = len(gpus)
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name = parts[1]
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util_gpu = _safe_float(parts[2])
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mem_util = _safe_float(parts[3])
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mem_total = _safe_float(parts[4])
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mem_used = _safe_float(parts[5])
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temp = _safe_float(parts[6]) if len(parts) > 6 else None
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gpus.append({
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'key': 'nvidia:%s' % idx,
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'index': idx,
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'name': name,
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'vendor': 'nvidia',
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'util_percent': util_gpu,
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'mem_util_percent': mem_util,
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'mem_total_mb': mem_total,
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'mem_used_mb': mem_used,
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'temperature_c': temp,
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})
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return gpus
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def _safe_float(s):
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if s is None:
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return None
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s = str(s).strip().replace('[N/A]', '').replace('N/A', '')
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if not s:
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return None
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try:
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return float(s)
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except ValueError:
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return None
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def _collect_windows_adapters():
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"""WMI 读取显卡列表（较快，不含利用率）。"""
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now = time.time()
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with _GPU_CACHE_LOCK:
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if _GPU_STATIC_CACHE['adapters'] and now - _GPU_STATIC_CACHE['ts'] < _GPU_STATIC_TTL:
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return list(_GPU_STATIC_CACHE['adapters'])
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ps_script = r"""
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$ErrorActionPreference = 'SilentlyContinue'
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$controllers = Get-CimInstance Win32_VideoController | Where-Object {
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$_.Name -and ($_.Name -notmatch 'Microsoft Basic|Remote Desktop|Virtual Display|Virtual Adapter|Meta Virtual|Spacedesk|Parsec|VMware|VirtualBox|Oray|Idd Driver|Sunlogin|ToDesk')
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}
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$list = @()
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$i = 0
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foreach ($c in $controllers) {
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$name = [string]$c.Name
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$vendor = 'other'
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if ($name -match 'NVIDIA|GeForce|Quadro|RTX|GTX|Tesla') { $vendor = 'nvidia' }
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elseif ($name -match 'Intel|Iris|UHD|Arc') { $vendor = 'intel' }
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elseif ($name -match 'AMD|Radeon') { $vendor = 'amd' }
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$ramMb = $null
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if ($c.AdapterRAM -and [double]$c.AdapterRAM -gt 0) {
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$ramMb = [math]::Round([double]$c.AdapterRAM / 1MB, 0)
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}
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$list += [pscustomobject]@{
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index = $i
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name = $name
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vendor = $vendor
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mem_total_mb = $ramMb
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}
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$i++
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}
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$list | ConvertTo-Json -Compress
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"""
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out = _run_cmd(['powershell', '-NoProfile', '-NonInteractive', '-Command', ps_script], timeout=5)
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if not out:
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return []
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try:
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data = json.loads(out)
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except json.JSONDecodeError:
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return []
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if isinstance(data, dict):
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data = [data]
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adapters = []
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for item in data:
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if not isinstance(item, dict):
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continue
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name = item.get('name') or ''
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if _is_virtual_gpu(name):
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continue
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adapters.append({
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'index': item.get('index', len(adapters)),
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'name': name,
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'vendor': item.get('vendor') or _vendor_from_name(name),
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'mem_total_mb': item.get('mem_total_mb'),
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})
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with _GPU_CACHE_LOCK:
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_GPU_STATIC_CACHE['adapters'] = list(adapters)
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_GPU_STATIC_CACHE['ts'] = time.time()
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return adapters
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def _collect_windows_util():
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"""读取 Windows GPU 利用率（Get-Counter 较慢，单独调用并限制超时）。"""
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ps_script = r"""
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$ErrorActionPreference = 'SilentlyContinue'
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$utilByPhys = @{}
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try {
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$samples = (Get-Counter '\GPU Engine(*)\Utilization Percentage' -SampleInterval 1 -MaxSamples 1).CounterSamples
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foreach ($s in $samples) {
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if ($s.InstanceName -match 'phys_(\d+)') {
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$p = $matches[1]
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$v = [double]$s.CookedValue
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if (-not $utilByPhys.ContainsKey($p) -or $v -gt $utilByPhys[$p]) {
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$utilByPhys[$p] = [math]::Round($v, 1)
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}
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}
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}
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} catch {}
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$utilByPhys | ConvertTo-Json -Compress
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"""
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out = _run_cmd(['powershell', '-NoProfile', '-NonInteractive', '-Command', ps_script], timeout=4)
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if not out:
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return {}
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try:
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util_map = json.loads(out or '{}')
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except json.JSONDecodeError:
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return {}
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return util_map if isinstance(util_map, dict) else {}
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def _merge_windows_adapters_util(adapters, util_map):
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gpus = []
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for item in adapters:
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idx = item.get('index', len(gpus))
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name = item.get('name') or ''
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util = _safe_float(util_map.get(str(idx)))
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if util is None:
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util = _safe_float(util_map.get(idx))
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gpus.append({
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'key': 'win:%s:%s' % (idx, _norm_name(name)),
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'index': idx,
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'name': name,
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'vendor': item.get('vendor') or _vendor_from_name(name),
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'util_percent': util,
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'mem_total_mb': item.get('mem_total_mb'),
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'mem_used_mb': None,
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})
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used_utils = {g.get('util_percent') for g in gpus if g.get('util_percent') is not None}
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spare_utils = []
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for v in (util_map or {}).values():
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fv = _safe_float(v)
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if fv is not None and fv not in used_utils:
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spare_utils.append(fv)
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spare_utils.sort(reverse=True)
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for g in gpus:
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if g.get('util_percent') is None and spare_utils:
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g['util_percent'] = spare_utils.pop(0)
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return gpus
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def _collect_windows_gpus():
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adapters = _collect_windows_adapters()
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if not adapters:
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return []
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util_map = _collect_windows_util()
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return _merge_windows_adapters_util(adapters, util_map)
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def _norm_name(name):
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return re.sub(r'\s+', ' ', (name or '').strip().lower())
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def _collect_linux_gpus():
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merged = {}
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# NVIDIA
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for g in _collect_nvidia_gpus():
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_merge_gpu(merged, g)
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# DRM 卡名称
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drm_cards = []
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drm_root = '/sys/class/drm'
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if os.path.isdir(drm_root):
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for entry in sorted(os.listdir(drm_root)):
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if not re.match(r'^card\d+$', entry):
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continue
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card_path = os.path.join(drm_root, entry)
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name = _read_first_line(os.path.join(card_path, 'device/vendor'))
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prod = _read_first_line(os.path.join(card_path, 'device/device'))
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label = entry
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try:
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for dev in os.listdir(card_path):
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if dev.startswith('renderD') or re.match(r'^card\d+-', dev):
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pass
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except OSError:
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pass
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vendor_file = _read_first_line(os.path.join(card_path, 'device/vendor'))
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device_file = _read_first_line(os.path.join(card_path, 'device/device'))
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|
|
human = _linux_pci_name(vendor_file, device_file) or entry
|
|||
|
|
idx_match = re.search(r'card(\d+)', entry)
|
|||
|
|
idx = int(idx_match.group(1)) if idx_match else len(drm_cards)
|
|||
|
|
drm_cards.append({'index': idx, 'name': human, 'vendor': _vendor_from_name(human), 'key': 'drm:%s' % entry})
|
|||
|
|
|
|||
|
|
# Intel GPU load (RK/Intel platforms)
|
|||
|
|
intel_load = _read_first_line('/sys/kernel/debug/dri/0/i915_gem_objects') # not util
|
|||
|
|
intel_util = _linux_intel_util()
|
|||
|
|
|
|||
|
|
for card in drm_cards:
|
|||
|
|
util = intel_util if card['vendor'] == 'intel' and intel_util is not None else None
|
|||
|
|
_merge_gpu(merged, {
|
|||
|
|
'key': card['key'],
|
|||
|
|
'index': card['index'],
|
|||
|
|
'name': card['name'],
|
|||
|
|
'vendor': card['vendor'],
|
|||
|
|
'util_percent': util,
|
|||
|
|
})
|
|||
|
|
|
|||
|
|
return list(merged.values())
|
|||
|
|
|
|||
|
|
|
|||
|
|
def _read_first_line(path):
|
|||
|
|
try:
|
|||
|
|
with open(path, 'r', encoding='utf-8', errors='ignore') as f:
|
|||
|
|
return f.read().strip()
|
|||
|
|
except OSError:
|
|||
|
|
return ''
|
|||
|
|
|
|||
|
|
|
|||
|
|
def _linux_pci_name(vendor, device):
|
|||
|
|
vendor_map = {'0x8086': 'Intel', '0x10de': 'NVIDIA', '0x1002': 'AMD'}
|
|||
|
|
v = vendor_map.get(vendor.lower() if vendor else '', '')
|
|||
|
|
if v:
|
|||
|
|
return '%s GPU (%s)' % (v, device or '')
|
|||
|
|
return ''
|
|||
|
|
|
|||
|
|
|
|||
|
|
def _linux_intel_util():
|
|||
|
|
"""尝试读取 Intel iGPU 占用（部分内核提供 dri 调试节点）。"""
|
|||
|
|
for path in (
|
|||
|
|
'/sys/class/drm/card0/device/gt_busy_percent',
|
|||
|
|
'/sys/class/drm/card1/device/gt_busy_percent',
|
|||
|
|
):
|
|||
|
|
val = _read_first_line(path)
|
|||
|
|
if val:
|
|||
|
|
f = _safe_float(val.replace('%', ''))
|
|||
|
|
if f is not None:
|
|||
|
|
return f
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
|
|||
|
|
def _merge_nvidia_into_windows(merged, nvidia_gpus):
|
|||
|
|
for g in nvidia_gpus:
|
|||
|
|
matched = False
|
|||
|
|
norm = _norm_name(g.get('name'))
|
|||
|
|
for item in merged.values():
|
|||
|
|
if item.get('vendor') == 'nvidia' and (
|
|||
|
|
_norm_name(item.get('name')) in norm or norm in _norm_name(item.get('name'))
|
|||
|
|
):
|
|||
|
|
item.update({
|
|||
|
|
'util_percent': g.get('util_percent', item.get('util_percent')),
|
|||
|
|
'mem_used_mb': g.get('mem_used_mb', item.get('mem_used_mb')),
|
|||
|
|
'mem_total_mb': g.get('mem_total_mb', item.get('mem_total_mb')),
|
|||
|
|
'mem_util_percent': g.get('mem_util_percent'),
|
|||
|
|
'temperature_c': g.get('temperature_c'),
|
|||
|
|
'name': g.get('name') or item.get('name'),
|
|||
|
|
})
|
|||
|
|
matched = True
|
|||
|
|
break
|
|||
|
|
if not matched:
|
|||
|
|
_merge_gpu(merged, g)
|
|||
|
|
|
|||
|
|
|
|||
|
|
def _collect_gpu_info_uncached():
|
|||
|
|
merged = {}
|
|||
|
|
system = platform.system()
|
|||
|
|
if system == 'Windows':
|
|||
|
|
adapters = _collect_windows_adapters()
|
|||
|
|
nvidia_gpus = []
|
|||
|
|
util_map = {}
|
|||
|
|
|
|||
|
|
with ThreadPoolExecutor(max_workers=2) as pool:
|
|||
|
|
f_util = pool.submit(_collect_windows_util)
|
|||
|
|
f_nv = pool.submit(_collect_nvidia_gpus)
|
|||
|
|
try:
|
|||
|
|
util_map = f_util.result(timeout=4.5) or {}
|
|||
|
|
except Exception:
|
|||
|
|
util_map = {}
|
|||
|
|
try:
|
|||
|
|
nvidia_gpus = f_nv.result(timeout=3) or []
|
|||
|
|
except Exception:
|
|||
|
|
nvidia_gpus = []
|
|||
|
|
|
|||
|
|
for g in _merge_windows_adapters_util(adapters, util_map):
|
|||
|
|
_merge_gpu(merged, g)
|
|||
|
|
_merge_nvidia_into_windows(merged, nvidia_gpus)
|
|||
|
|
else:
|
|||
|
|
for g in _collect_linux_gpus():
|
|||
|
|
_merge_gpu(merged, g)
|
|||
|
|
|
|||
|
|
result = [_finalize_gpu(v) for v in merged.values()]
|
|||
|
|
result.sort(key=lambda x: (x.get('index', 0), x.get('name', '')))
|
|||
|
|
for i, g in enumerate(result):
|
|||
|
|
g['index'] = i
|
|||
|
|
return result
|
|||
|
|
|
|||
|
|
|
|||
|
|
def get_gpu_info(force_refresh=False):
|
|||
|
|
"""返回本机所有可用显卡列表（带短时缓存，避免频繁调用 PowerShell）。"""
|
|||
|
|
now = time.time()
|
|||
|
|
with _GPU_CACHE_LOCK:
|
|||
|
|
if not force_refresh and _GPU_CACHE['data'] and now - _GPU_CACHE['ts'] < _GPU_CACHE_TTL:
|
|||
|
|
return list(_GPU_CACHE['data'])
|
|||
|
|
|
|||
|
|
result = _collect_gpu_info_uncached()
|
|||
|
|
with _GPU_CACHE_LOCK:
|
|||
|
|
_GPU_CACHE['data'] = list(result)
|
|||
|
|
_GPU_CACHE['ts'] = time.time()
|
|||
|
|
return result
|