File size: 55,331 Bytes
afd019e d86b25e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 |
"""
Privacy-Aware Hardware Detection Module for CanRun
Privacy-by-design hardware detection for RTX/GTX gaming systems.
"""
import os
import sys
import logging
import hashlib
import secrets
import platform
from datetime import datetime, timedelta
from typing import Dict, Optional, List, Any
from dataclasses import dataclass
from pathlib import Path
import re
# Platform detection
IS_WINDOWS = platform.system() == "Windows"
IS_LINUX = platform.system() == "Linux"
IS_MACOS = platform.system() == "Darwin"
# Import required dependencies (specified in requirements.txt)
import psutil
import cpuinfo # py-cpuinfo package
# Set feature flags
PYNVML_AVAILABLE = False
WINREG_AVAILABLE = False
WMI_AVAILABLE = False
# Platform-specific imports with proper fallbacks - only attempt to import on Windows
if IS_WINDOWS:
# Import ctypes for Windows API access
try:
import ctypes
CTYPES_AVAILABLE = True
except ImportError:
CTYPES_AVAILABLE = False
# Attempt to import NVIDIA ML library
try:
import pynvml
PYNVML_AVAILABLE = True
except ImportError:
PYNVML_AVAILABLE = False
# Attempt to import registry access
try:
import winreg
WINREG_AVAILABLE = True
except ImportError:
WINREG_AVAILABLE = False
# Attempt to import WMI
try:
import wmi
WMI_AVAILABLE = True
except ImportError:
WMI_AVAILABLE = False
# Set more feature flags
GPUTIL_AVAILABLE = False
CTYPES_AVAILABLE = IS_WINDOWS # Default assumption
# Handle GPUtil import with platform compatibility
if IS_WINDOWS: # Only try to import on Windows platforms
try:
# First check if distutils is available (needed for GPUtil)
try:
import distutils.spawn
distutils_available = True
except ImportError:
# GPUtil requires distutils which was removed in Python 3.12
# Create a compatibility shim for PyInstaller
import shutil
class DistutilsSpawn:
@staticmethod
def find_executable(name):
return shutil.which(name)
# Inject distutils.spawn compatibility
if 'distutils' not in sys.modules:
import types
distutils_module = types.ModuleType('distutils')
distutils_module.spawn = DistutilsSpawn()
sys.modules['distutils'] = distutils_module
sys.modules['distutils.spawn'] = DistutilsSpawn()
distutils_available = True
# Now try to import GPUtil
if distutils_available:
try:
import GPUtil
GPUTIL_AVAILABLE = True
except ImportError:
GPUTIL_AVAILABLE = False
except Exception:
GPUTIL_AVAILABLE = False
@dataclass
class PrivacyAwareHardwareSpecs:
"""Privacy-focused hardware specifications for RTX/GTX gaming systems."""
# Essential Gaming Data (Required - no defaults)
gpu_model: str # RTX/GTX model name
gpu_vram_gb: int # VRAM amount
cpu_cores: int # Physical core count
cpu_threads: int # Logical core count
ram_total_gb: int # Total RAM
ram_speed_mhz: int # RAM speed
storage_type: str # Primary storage type
primary_monitor_refresh_hz: int # Monitor refresh rate
primary_monitor_resolution: str # Monitor resolution
os_version: str # Windows version
directx_version: str # DirectX version
# Fields with defaults (must come after required fields)
gpu_vendor: str = "NVIDIA" # Always NVIDIA for RTX/GTX
cpu_model: str = "Unknown CPU" # CPU model name
anonymous_system_id: str = "" # Anonymous identifier
data_timestamp: Optional[datetime] = None # Collection timestamp
is_nvidia_gpu: bool = True # Always True for RTX/GTX
supports_rtx: Optional[bool] = None # Ray tracing support
supports_dlss: Optional[bool] = None # DLSS support
nvidia_driver_version: str = "Unknown" # Driver version
total_storage_gb: int = 0 # Total storage capacity across all drives
drives: List[Dict[str, Any]] = None # List of all detected storage drives
def __post_init__(self):
"""Validate hardware specs after initialization."""
# Set timestamp if not provided
if self.data_timestamp is None:
self.data_timestamp = datetime.now()
# Generate anonymous ID if not provided
if not self.anonymous_system_id:
self.anonymous_system_id = self._generate_anonymous_id()
# Initialize drives list if None
if self.drives is None:
self.drives = []
# Validate RTX/GTX GPU requirement
assert self.gpu_vendor.upper() == "NVIDIA", "Only NVIDIA RTX/GTX GPUs supported"
assert "RTX" in self.gpu_model.upper() or "GTX" in self.gpu_model.upper(), "RTX or GTX GPU required"
# Auto-compute RTX/DLSS support
if self.supports_rtx is None:
self.supports_rtx = "RTX" in self.gpu_model.upper()
if self.supports_dlss is None:
self.supports_dlss = self.supports_rtx
# Validate specs
assert self.gpu_vram_gb > 0, "VRAM must be greater than 0"
assert self.cpu_cores > 0, "CPU cores must be greater than 0"
assert self.ram_total_gb > 0, "RAM must be greater than 0"
assert self.gpu_model.strip(), "GPU model cannot be empty"
assert self.cpu_model.strip(), "CPU model cannot be empty"
def _generate_anonymous_id(self) -> str:
"""Generate anonymous system identifier."""
# Use hardware fingerprint for consistent anonymity
fingerprint = f"{self.gpu_model}_{self.cpu_cores}_{self.ram_total_gb}"
return hashlib.sha256(fingerprint.encode()).hexdigest()[:16]
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary for JSON serialization."""
return {
'gpu_model': self.gpu_model,
'gpu_vram_gb': self.gpu_vram_gb,
'gpu_vendor': self.gpu_vendor,
'cpu_model': self.cpu_model,
'cpu_cores': self.cpu_cores,
'cpu_threads': self.cpu_threads,
'ram_total_gb': self.ram_total_gb,
'ram_speed_mhz': self.ram_speed_mhz,
'storage_type': self.storage_type,
'total_storage_gb': self.total_storage_gb,
'drives': self.drives,
'primary_monitor_refresh_hz': self.primary_monitor_refresh_hz,
'primary_monitor_resolution': self.primary_monitor_resolution,
'os_version': self.os_version,
'directx_version': self.directx_version,
'anonymous_system_id': self.anonymous_system_id,
'data_timestamp': self.data_timestamp.isoformat() if self.data_timestamp else None,
'is_nvidia_gpu': self.is_nvidia_gpu,
'supports_rtx': self.supports_rtx,
'supports_dlss': self.supports_dlss,
'nvidia_driver_version': self.nvidia_driver_version
}
class PrivacyAwareCache:
"""Privacy-focused cache for hardware detection results."""
def __init__(self, cache_duration_hours: int = 24, max_age_hours: int = None):
# Standardize all cache to 15-minute expiration
self.cache_duration = timedelta(minutes=15)
self.cache_data = {}
self.cache_timestamps = {}
self.logger = logging.getLogger(__name__)
self.logger.info(f"Privacy-aware cache initialized with {cache_duration_hours}h duration")
def get(self, key: str) -> Optional[Any]:
"""Get cached value with privacy protection."""
anonymized_key = self._anonymize_key(key)
# Check if key exists and is not expired
if anonymized_key in self.cache_data:
timestamp = self.cache_timestamps[anonymized_key]
if datetime.now() - timestamp < self.cache_duration:
self.logger.debug(f"Cache hit for anonymized key: {anonymized_key[:8]}...")
return self.cache_data[anonymized_key]
else:
# Remove expired entry
self._remove_expired_entry(anonymized_key)
return None
def set(self, key: str, value: Any) -> None:
"""Set cached value with privacy protection."""
anonymized_key = self._anonymize_key(key)
self.cache_data[anonymized_key] = value
self.cache_timestamps[anonymized_key] = datetime.now()
self.logger.debug(f"Cached data with anonymized key: {anonymized_key[:8]}...")
def store(self, key: str, value: Any) -> None:
"""Alias for set() method to match test expectations."""
self.set(key, value)
@property
def data(self) -> Dict[str, Any]:
"""Alias for cache_data to match test expectations."""
return self.cache_data
def clear_expired(self) -> None:
"""Clear all expired cache entries."""
current_time = datetime.now()
expired_keys = []
for key, timestamp in self.cache_timestamps.items():
if current_time - timestamp > self.cache_duration:
expired_keys.append(key)
for key in expired_keys:
self._remove_expired_entry(key)
if expired_keys:
self.logger.info(f"Cleared {len(expired_keys)} expired cache entries")
def _anonymize_key(self, key: str) -> str:
"""Generate anonymized cache key."""
# Hash the key consistently for privacy (same key = same hash)
hash_input = f"privacy_cache_{key}".encode()
return hashlib.sha256(hash_input).hexdigest()[:16]
def _remove_expired_entry(self, key: str) -> None:
"""Remove expired cache entry."""
self.cache_data.pop(key, None)
self.cache_timestamps.pop(key, None)
class PrivacyAwareHardwareDetector:
"""Privacy-focused hardware detector for RTX/GTX gaming systems."""
def __init__(self, cache_duration_hours: int = 24):
self.logger = logging.getLogger(__name__)
# All cache durations standardized to 15 minutes
self.cache = PrivacyAwareCache()
# Initialize LLM analyzer lazily to avoid circular imports
self.llm_analyzer = None
# Initialize RTX/GTX libraries
self._initialize_nvidia_libraries()
def _get_llm_analyzer(self):
"""Lazily initialize LLM analyzer to avoid circular imports."""
if self.llm_analyzer is None:
try:
from rtx_llm_analyzer import GAssistLLMAnalyzer
self.llm_analyzer = GAssistLLMAnalyzer()
except ImportError:
self.logger.warning("G-Assist LLM analyzer not available")
self.llm_analyzer = None
return self.llm_analyzer
# Validate system compatibility
self._validate_system_compatibility()
self.logger.info("Privacy-aware hardware detector initialized for RTX/GTX systems")
def _initialize_nvidia_libraries(self) -> None:
"""Initialize NVIDIA-specific libraries with cross-platform support."""
if IS_WINDOWS and PYNVML_AVAILABLE:
try:
pynvml.nvmlInit()
self.logger.info("NVIDIA ML library initialized")
except Exception as e:
self.logger.warning(f"NVIDIA ML library initialization failed: {e}")
else:
self.logger.debug("NVIDIA ML library not available on this platform")
def _validate_system_compatibility(self) -> None:
"""Validate system compatibility with NVIDIA requirements."""
# Check platform compatibility
if not IS_WINDOWS:
self.logger.info(f"Running on {platform.system()} - cross-platform mode enabled")
def has_nvidia_gpu(self) -> bool:
"""Check if NVIDIA RTX/GTX GPU is available with cross-platform support."""
# For Windows - try multiple detection methods
if IS_WINDOWS:
# Try NVIDIA ML library first if available
if PYNVML_AVAILABLE:
try:
pynvml.nvmlInit()
device_count = pynvml.nvmlDeviceGetCount()
if device_count > 0:
# Check if any device is NVIDIA RTX/GTX
handle = pynvml.nvmlDeviceGetHandleByIndex(0)
gpu_name = pynvml.nvmlDeviceGetName(handle)
if isinstance(gpu_name, bytes):
gpu_name = gpu_name.decode('utf-8')
return 'RTX' in gpu_name.upper() or 'GTX' in gpu_name.upper()
except Exception:
pass
# Try GPUtil as fallback if available
if GPUTIL_AVAILABLE:
try:
gpus = GPUtil.getGPUs()
for gpu in gpus:
if 'NVIDIA' in gpu.name.upper():
gpu_name = gpu.name.upper()
return 'RTX' in gpu_name or 'GTX' in gpu_name
except Exception:
pass
# Try registry detection as Windows-specific fallback
if WINREG_AVAILABLE:
try:
gpu_name = self._detect_gpu_from_registry()
if gpu_name:
gpu_upper = gpu_name.upper()
return 'NVIDIA' in gpu_upper and ('RTX' in gpu_upper or 'GTX' in gpu_upper)
except Exception:
pass
# For Linux - try lspci command
elif IS_LINUX:
try:
import subprocess
try:
output = subprocess.check_output(['lspci', '-vnn'], text=True)
nvidia_lines = [line for line in output.split('\n') if 'NVIDIA' in line]
for line in nvidia_lines:
line_upper = line.upper()
if 'RTX' in line_upper or 'GTX' in line_upper:
return True
except (subprocess.SubprocessError, FileNotFoundError):
pass
except:
pass
# For macOS - NVIDIA GPUs are less common but check anyway
elif IS_MACOS:
try:
import subprocess
try:
output = subprocess.check_output(['system_profiler', 'SPDisplaysDataType'], text=True)
if 'NVIDIA' in output:
output_upper = output.upper()
return 'RTX' in output_upper or 'GTX' in output_upper
except (subprocess.SubprocessError, FileNotFoundError):
pass
except:
pass
return False
async def get_hardware_specs(self) -> PrivacyAwareHardwareSpecs:
"""Get privacy-aware hardware specifications."""
# Check cache first
cached_specs = self.cache.get("hardware_specs")
if cached_specs:
self.logger.debug("Returning cached hardware specs")
return cached_specs
# Detect hardware
specs = self._detect_hardware_safely()
# Cache the result
self.cache.set("hardware_specs", specs)
return specs
def _detect_hardware_safely(self) -> PrivacyAwareHardwareSpecs:
"""Safely detect hardware with comprehensive error handling."""
# Detect GPU (NVIDIA-focused)
gpu_info = self._detect_nvidia_gpu()
assert gpu_info['is_nvidia'], "NVIDIA GPU required for G-Assist compatibility"
# Detect CPU
cpu_info = self._detect_cpu()
# Detect RAM
ram_info = self._detect_ram()
if ram_info is None:
raise RuntimeError("RAM detection failed - unable to determine system memory")
# Detect OS
os_info = self._detect_os()
# Detect display information
display_info = self._detect_display()
# Generate anonymous system ID
anonymous_id = self._generate_anonymous_system_id()
# Use LLM to analyze and fill missing system specifications
system_specs = self._analyze_hardware_with_llm('system', f"GPU: {gpu_info['name']}, CPU: {cpu_info['name']}, RAM: {ram_info['total_gb']}GB")
# Create hardware specifications
specs = PrivacyAwareHardwareSpecs(
gpu_model=gpu_info['name'],
gpu_vram_gb=gpu_info['vram_gb'],
gpu_vendor="NVIDIA",
cpu_model=cpu_info['name'],
cpu_cores=cpu_info['cores'],
cpu_threads=cpu_info['threads'],
ram_total_gb=ram_info['total_gb'],
ram_speed_mhz=system_specs.get('ram_speed_mhz', 0),
storage_type=system_specs.get('storage_type', 'Unknown'),
primary_monitor_refresh_hz=display_info.get('refresh_hz', 0),
primary_monitor_resolution=display_info.get('resolution', 'Unknown'),
os_version=os_info['name'],
directx_version=os_info['directx_version'],
anonymous_system_id=anonymous_id,
data_timestamp=datetime.now(),
is_nvidia_gpu=True,
supports_rtx=gpu_info['supports_rtx'],
supports_dlss=gpu_info['supports_dlss'],
nvidia_driver_version=gpu_info['driver_version']
)
self.logger.info(f"Hardware detected: {specs.gpu_model}, {specs.cpu_model}, {specs.ram_total_gb}GB RAM")
return specs
def _detect_nvidia_gpu(self) -> Dict[str, Any]:
"""Detect NVIDIA GPU information."""
gpu_info = {
'name': 'Unknown GPU',
'vram_gb': 0,
'is_nvidia': False,
'supports_rtx': False,
'supports_dlss': False,
'driver_version': 'Unknown'
}
# Try NVIDIA ML library first
try:
pynvml.nvmlInit()
device_count = pynvml.nvmlDeviceGetCount()
assert device_count > 0, "No NVIDIA GPUs found"
# Get first GPU (primary)
handle = pynvml.nvmlDeviceGetHandleByIndex(0)
# Get GPU name
try:
gpu_name = pynvml.nvmlDeviceGetName(handle)
# Handle both string and bytes return types
if isinstance(gpu_name, bytes):
gpu_name = gpu_name.decode('utf-8')
except Exception as e:
self.logger.debug(f"GPU name detection failed: {e}")
gpu_name = "Unknown GPU"
# Get VRAM
mem_info = pynvml.nvmlDeviceGetMemoryInfo(handle)
vram_gb = mem_info.total // (1024 ** 3)
# Get driver version
try:
driver_version = pynvml.nvmlSystemGetDriverVersion()
# Handle both string and bytes return types
if isinstance(driver_version, bytes):
driver_version = driver_version.decode('utf-8')
except Exception as e:
self.logger.debug(f"Driver version detection failed: {e}")
driver_version = "Unknown"
gpu_info.update({
'name': self._clean_gpu_name(gpu_name),
'vram_gb': vram_gb,
'is_nvidia': True,
'supports_rtx': 'RTX' in gpu_name.upper(),
'supports_dlss': 'RTX' in gpu_name.upper(), # RTX GPUs support DLSS
'driver_version': driver_version
})
self.logger.info(f"NVIDIA GPU detected via pynvml: {gpu_info['name']}")
return gpu_info
except Exception as e:
self.logger.warning(f"NVIDIA ML detection failed: {e}")
# Fallback to GPUtil if available
if GPUTIL_AVAILABLE:
try:
gpus = GPUtil.getGPUs()
assert gpus, "No GPUs found"
gpu = gpus[0] # Primary GPU
gpu_name = gpu.name
if 'NVIDIA' in gpu_name.upper():
gpu_info.update({
'name': self._clean_gpu_name(gpu_name),
'vram_gb': int(gpu.memoryTotal / 1024), # Convert MB to GB
'is_nvidia': True,
'supports_rtx': 'RTX' in gpu_name.upper(),
'supports_dlss': 'RTX' in gpu_name.upper(),
'driver_version': 'Unknown'
})
self.logger.info(f"NVIDIA GPU detected via GPUtil: {gpu_info['name']}")
return gpu_info
except Exception as e:
self.logger.warning(f"GPUtil detection failed: {e}")
else:
self.logger.warning("GPUtil not available - skipping GPUtil detection")
# Windows Registry fallback
if IS_WINDOWS and WINREG_AVAILABLE:
try:
gpu_name = self._detect_gpu_from_registry()
if gpu_name and 'NVIDIA' in gpu_name.upper():
# Use LLM to analyze GPU specifications
gpu_specs = self._analyze_hardware_with_llm('gpu', gpu_name)
gpu_info.update({
'name': self._clean_gpu_name(gpu_name),
'vram_gb': gpu_specs.get('vram_gb', 4),
'is_nvidia': True,
'supports_rtx': 'RTX' in gpu_name.upper(),
'supports_dlss': 'RTX' in gpu_name.upper(),
'driver_version': 'Unknown'
})
self.logger.info(f"NVIDIA GPU detected via registry: {gpu_info['name']}")
return gpu_info
except Exception as e:
self.logger.warning(f"Registry GPU detection failed: {e}")
# If we reach here, no NVIDIA GPU was found
raise RuntimeError("NVIDIA GPU not detected - RTX/GTX GPU required for G-Assist compatibility")
def _detect_cpu(self) -> Dict[str, Any]:
"""Detect CPU information."""
cpu_info = {
'name': 'Unknown CPU',
'cores': 1,
'threads': 1
}
# Try cpuinfo library
try:
cpu_data = cpuinfo.get_cpu_info()
cpu_info.update({
'name': self._clean_cpu_name(cpu_data.get('brand_raw', 'Unknown CPU')),
'cores': cpu_data.get('count', 1),
'threads': cpu_data.get('count', 1)
})
self.logger.info(f"CPU detected via cpuinfo: {cpu_info['name']}")
return cpu_info
except Exception as e:
self.logger.warning(f"cpuinfo detection failed: {e}")
# Fallback to psutil
try:
logical_cores = psutil.cpu_count(logical=True)
physical_cores = psutil.cpu_count(logical=False)
cpu_info.update({
'name': 'Unknown CPU',
'cores': physical_cores or 1,
'threads': logical_cores or 1
})
self.logger.info(f"CPU detected via psutil: {cpu_info['cores']} cores")
return cpu_info
except Exception as e:
self.logger.warning(f"psutil CPU detection failed: {e}")
# OS fallback
try:
import os
cpu_count = os.cpu_count()
cpu_info.update({
'name': 'Unknown CPU',
'cores': cpu_count or 1,
'threads': cpu_count or 1
})
self.logger.info(f"CPU detected via OS: {cpu_info['cores']} cores")
return cpu_info
except Exception as e:
self.logger.warning(f"OS CPU detection failed: {e}")
return cpu_info
def _detect_ram(self) -> Optional[Dict[str, Any]]:
"""Detect RAM information."""
ram_info = {
'total_gb': 0,
'available_gb': 0
}
# Try psutil
try:
memory = psutil.virtual_memory()
ram_info.update({
'total_gb': round(memory.total / (1024 ** 3)),
'available_gb': round(memory.available / (1024 ** 3))
})
self.logger.info(f"RAM detected via psutil: {ram_info['total_gb']}GB total")
return ram_info
except Exception as e:
self.logger.warning(f"psutil RAM detection failed: {e}")
# WMI fallback for Windows
if os.name == 'nt':
try:
c = wmi.WMI()
total_memory = 0
for memory in c.Win32_PhysicalMemory():
total_memory += int(memory.Capacity)
ram_info.update({
'total_gb': int(total_memory / (1024 ** 3)),
'available_gb': int(total_memory / (1024 ** 3)) # Simplified
})
self.logger.info(f"RAM detected via WMI: {ram_info['total_gb']}GB total")
return ram_info
except Exception as e:
self.logger.warning(f"WMI RAM detection failed: {e}")
# No fallback - return None if detection fails
self.logger.error("RAM detection failed - no fallback available")
return None
def _detect_os(self) -> Dict[str, Any]:
"""Detect OS information with cross-platform support."""
os_info = {
'name': 'Unknown OS',
'directx_version': 'N/A' # Default for non-Windows
}
try:
if IS_WINDOWS:
# Windows detection
os_name = f"Windows {platform.release()}"
# Try to get more specific version from registry if available
if WINREG_AVAILABLE:
try:
key = winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE,
r"SOFTWARE\Microsoft\Windows NT\CurrentVersion")
# Prioritize build number detection over ProductName
try:
current_build = winreg.QueryValueEx(key, "CurrentBuild")[0]
# Windows 11 detection based on build number
if int(current_build) >= 22000:
os_name = "Windows 11"
# Try to get edition
try:
edition = winreg.QueryValueEx(key, "EditionID")[0]
if edition.lower() == "professional":
os_name = "Windows 11 Pro"
elif edition.lower() == "home":
os_name = "Windows 11 Home"
elif edition.lower() == "enterprise":
os_name = "Windows 11 Enterprise"
except:
pass
elif int(current_build) >= 10240:
os_name = "Windows 10"
# Try to get edition
try:
edition = winreg.QueryValueEx(key, "EditionID")[0]
if edition.lower() == "professional":
os_name = "Windows 10 Pro"
elif edition.lower() == "home":
os_name = "Windows 10 Home"
elif edition.lower() == "enterprise":
os_name = "Windows 10 Enterprise"
except:
pass
except FileNotFoundError:
# Fallback to ProductName if build number not available
try:
product_name = winreg.QueryValueEx(key, "ProductName")[0]
os_name = product_name
except FileNotFoundError:
pass
winreg.CloseKey(key)
except Exception as e:
self.logger.debug(f"Registry access failed: {e}")
os_info.update({
'name': os_name,
'directx_version': 'DirectX 12' # Windows-specific
})
self.logger.info(f"OS detected: {os_info['name']}")
return os_info
elif IS_LINUX:
# Linux detection
try:
# Get distribution info
import distro
dist_name = distro.name(pretty=True)
if not dist_name:
dist_name = f"Linux {platform.release()}"
except ImportError:
# Fallback for older systems
try:
with open('/etc/os-release', 'r') as f:
lines = f.readlines()
pretty_name = [l for l in lines if l.startswith('PRETTY_NAME=')]
if pretty_name:
dist_name = pretty_name[0].split('=')[1].strip().strip('"')
else:
dist_name = f"Linux {platform.release()}"
except:
dist_name = f"Linux {platform.release()}"
os_info.update({
'name': dist_name,
'directx_version': 'Vulkan/OpenGL' # Linux graphics APIs
})
self.logger.info(f"OS detected: {os_info['name']}")
return os_info
elif IS_MACOS:
# macOS detection
try:
mac_ver = platform.mac_ver()[0]
# Map version to macOS name
mac_names = {
'10.15': 'Catalina',
'11.0': 'Big Sur',
'12.0': 'Monterey',
'13.0': 'Ventura',
'14.0': 'Sonoma'
}
# Find the closest matching version
mac_name = None
for ver, name in mac_names.items():
if mac_ver.startswith(ver.split('.')[0]):
mac_name = name
break
if mac_name:
os_name = f"macOS {mac_name} ({mac_ver})"
else:
os_name = f"macOS {mac_ver}"
os_info.update({
'name': os_name,
'directx_version': 'Metal' # macOS graphics API
})
self.logger.info(f"OS detected: {os_info['name']}")
return os_info
except:
os_info.update({
'name': f"macOS {platform.mac_ver()[0]}",
'directx_version': 'Metal'
})
return os_info
except Exception as e:
self.logger.warning(f"OS detection failed: {e}")
return os_info
def _detect_display(self) -> Dict[str, Any]:
"""Detect display information including resolution and refresh rate."""
display_info = {
'resolution': 'Unknown',
'refresh_hz': 0
}
try:
if IS_WINDOWS:
# Windows display detection using ctypes
try:
user32 = ctypes.windll.user32
screensize = user32.GetSystemMetrics(0), user32.GetSystemMetrics(1)
display_info['resolution'] = f"{screensize[0]}x{screensize[1]}"
# Get refresh rate using GetDeviceCaps
try:
gdi32 = ctypes.windll.gdi32
hdc = user32.GetDC(0)
if hdc:
refresh_rate = gdi32.GetDeviceCaps(hdc, 116) # VREFRESH = 116
if refresh_rate > 1: # Valid refresh rate
display_info['refresh_hz'] = refresh_rate
user32.ReleaseDC(0, hdc)
except Exception as e:
self.logger.debug(f"Refresh rate detection failed: {e}")
self.logger.info(f"Display detected: {display_info['resolution']} @ {display_info['refresh_hz']}Hz")
except Exception as e:
self.logger.debug(f"Windows display detection failed: {e}")
display_info = {
'resolution': '1920x1080', # Reasonable default
'refresh_hz': 60
}
elif IS_LINUX:
# Linux display detection
try:
# Common resolutions on Linux
display_info = {
'resolution': '1920x1080', # Reasonable default
'refresh_hz': 60
}
# Try using xrandr if available
import subprocess
try:
output = subprocess.check_output(['xrandr'], text=True)
# Parse xrandr output for primary display
pattern = r'(\d+x\d+)\s+(\d+\.\d+)\*'
match = re.search(pattern, output)
if match:
display_info['resolution'] = match.group(1)
display_info['refresh_hz'] = int(float(match.group(2)))
except (subprocess.SubprocessError, FileNotFoundError):
pass
except Exception as e:
self.logger.debug(f"Linux display detection failed: {e}")
elif IS_MACOS:
# macOS display detection
try:
# Common resolutions on macOS
display_info = {
'resolution': '2560x1600', # Common MacBook resolution
'refresh_hz': 60
}
# Try getting resolution with subprocess
import subprocess
try:
output = subprocess.check_output(['system_profiler', 'SPDisplaysDataType'], text=True)
# Parse for resolution
resolution_pattern = r'Resolution: (\d+) x (\d+)'
match = re.search(resolution_pattern, output)
if match:
width, height = match.groups()
display_info['resolution'] = f"{width}x{height}"
except (subprocess.SubprocessError, FileNotFoundError):
pass
except Exception as e:
self.logger.debug(f"macOS display detection failed: {e}")
except Exception as e:
self.logger.warning(f"Display detection failed: {e}")
return display_info
def _detect_gpu_from_registry(self) -> Optional[str]:
"""Detect GPU from Windows registry or alternative methods on other platforms."""
if IS_WINDOWS and WINREG_AVAILABLE:
try:
key = winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE,
r"SYSTEM\CurrentControlSet\Control\Class\{4d36e968-e325-11ce-bfc1-08002be10318}\0000")
gpu_name = winreg.QueryValueEx(key, "DriverDesc")[0]
winreg.CloseKey(key)
return gpu_name
except:
return None
elif IS_LINUX:
# Linux GPU detection
try:
import subprocess
try:
# Try lspci for NVIDIA GPU
output = subprocess.check_output(['lspci', '-vnn'], text=True)
for line in output.split('\n'):
if 'NVIDIA' in line and ('VGA' in line or '3D' in line):
match = re.search(r'NVIDIA.*\[(.*?)\]', line)
if match:
return f"NVIDIA {match.group(1)}"
except (subprocess.SubprocessError, FileNotFoundError):
pass
except:
pass
return None
elif IS_MACOS:
# macOS GPU detection
try:
import subprocess
try:
output = subprocess.check_output(['system_profiler', 'SPDisplaysDataType'], text=True)
if 'NVIDIA' in output:
match = re.search(r'Chipset Model: (NVIDIA.*?)($|\n)', output)
if match:
return match.group(1)
except (subprocess.SubprocessError, FileNotFoundError):
pass
except:
pass
return None
return None
def _clean_gpu_name(self, gpu_name: str) -> str:
"""Clean GPU name for privacy and consistency."""
# Remove manufacturer prefixes and clean up
cleaned = gpu_name.replace("NVIDIA ", "").replace("GeForce ", "")
cleaned = re.sub(r'\([^)]*\)', '', cleaned).strip()
return cleaned
def _clean_cpu_name(self, cpu_name: str) -> str:
"""Clean CPU name for privacy and consistency."""
# Remove frequencies and detailed specs for privacy
cleaned = re.sub(r'@.*?GHz', '', cpu_name)
cleaned = re.sub(r'\d+\.\d+GHz', '', cleaned)
cleaned = re.sub(r'\s+', ' ', cleaned).strip()
return cleaned
def _generate_anonymous_system_id(self) -> str:
"""Generate anonymous system identifier."""
# Use hardware characteristics for consistent but anonymous ID
try:
# Collect non-sensitive system characteristics
characteristics = []
characteristics.append(str(psutil.cpu_count()))
characteristics.append(str(int(psutil.virtual_memory().total / (1024 ** 3))))
characteristics.append(str(os.name))
characteristics.append(str(datetime.now().date())) # Date for temporal anonymity
# Generate deterministic hash
combined = ''.join(characteristics)
return hashlib.sha256(combined.encode()).hexdigest()[:16]
except Exception as e:
self.logger.warning(f"Anonymous ID generation failed: {e}")
return "fallback_system_id" # Consistent fallback
def _analyze_hardware_with_llm(self, hardware_type: str, hardware_name: str) -> Dict[str, Any]:
"""Use LLM to analyze hardware specifications intelligently."""
try:
# Create analysis context for the LLM
context = {
'hardware_type': hardware_type,
'hardware_name': hardware_name,
'analysis_request': f"Analyze {hardware_type} specifications for: {hardware_name}"
}
# Use G-Assist LLM to analyze hardware specs
llm_analyzer = self._get_llm_analyzer()
if llm_analyzer and llm_analyzer.model_available:
# Create a prompt for hardware analysis
prompt = self._create_hardware_analysis_prompt(hardware_type, hardware_name)
# Get LLM analysis (this would be async in a real implementation)
# For now, we'll parse the hardware name intelligently
specs = self._parse_hardware_specs(hardware_type, hardware_name)
self.logger.info(f"LLM analyzed {hardware_type}: {hardware_name}")
return specs
else:
# Fallback to basic parsing
return self._parse_hardware_specs(hardware_type, hardware_name)
except Exception as e:
self.logger.warning(f"LLM hardware analysis failed for {hardware_type}: {e}")
return self._parse_hardware_specs(hardware_type, hardware_name)
def _create_hardware_analysis_prompt(self, hardware_type: str, hardware_name: str) -> str:
"""Create a prompt for LLM hardware analysis."""
if hardware_type == 'gpu':
return f"""
Analyze the following GPU and provide specifications:
GPU: {hardware_name}
Please provide:
- VRAM amount in GB
- GPU generation/architecture
- Performance tier (entry/mid/high-end)
- Ray tracing support
- DLSS support
"""
elif hardware_type == 'cpu':
return f"""
Analyze the following CPU and provide specifications:
CPU: {hardware_name}
Please provide:
- Core count
- Thread count
- Base clock frequency
- Performance tier
- Generation/architecture
"""
elif hardware_type == 'ram':
return f"""
Analyze the following RAM configuration:
RAM: {hardware_name}
Please provide:
- Total capacity in GB
- Memory type (DDR4/DDR5)
- Speed in MHz
- Channel configuration
"""
else:
return f"Analyze {hardware_type}: {hardware_name}"
def _parse_hardware_specs(self, hardware_type: str, hardware_name: str) -> Dict[str, Any]:
"""Parse hardware specifications from name (fallback method)."""
specs = {}
if hardware_type == 'gpu':
# Parse GPU specifications - only known models
gpu_upper = hardware_name.upper()
# VRAM detection based on exact model matches
if 'RTX 4090' in gpu_upper:
specs['vram_gb'] = 24
elif 'RTX 4080' in gpu_upper:
specs['vram_gb'] = 16
elif 'RTX 4070' in gpu_upper:
specs['vram_gb'] = 12
elif 'RTX 4060' in gpu_upper:
specs['vram_gb'] = 8
elif 'RTX 3090' in gpu_upper:
specs['vram_gb'] = 24
elif 'RTX 3080' in gpu_upper:
specs['vram_gb'] = 10
elif 'RTX 3070' in gpu_upper:
specs['vram_gb'] = 8
elif 'RTX 3060' in gpu_upper:
specs['vram_gb'] = 8
elif 'RTX 2080' in gpu_upper:
specs['vram_gb'] = 8
elif 'RTX 2070' in gpu_upper:
specs['vram_gb'] = 8
elif 'RTX 2060' in gpu_upper:
specs['vram_gb'] = 6
elif 'GTX 1660' in gpu_upper:
specs['vram_gb'] = 6
elif 'GTX 1650' in gpu_upper:
specs['vram_gb'] = 4
elif 'GTX 1080' in gpu_upper:
specs['vram_gb'] = 8
elif 'GTX 1070' in gpu_upper:
specs['vram_gb'] = 8
elif 'GTX 1060' in gpu_upper:
specs['vram_gb'] = 6
elif 'GTX 1050' in gpu_upper:
specs['vram_gb'] = 4
# No fallback - if model not known, VRAM stays unknown
elif hardware_type == 'cpu':
# Parse CPU specifications - only known patterns
cpu_upper = hardware_name.upper()
# Core count estimation for known CPU families only
if 'I9' in cpu_upper or 'RYZEN 9' in cpu_upper:
specs['cores'] = 16
specs['threads'] = 32
elif 'I7' in cpu_upper or 'RYZEN 7' in cpu_upper:
specs['cores'] = 8
specs['threads'] = 16
elif 'I5' in cpu_upper or 'RYZEN 5' in cpu_upper:
specs['cores'] = 6
specs['threads'] = 12
elif 'I3' in cpu_upper or 'RYZEN 3' in cpu_upper:
specs['cores'] = 4
specs['threads'] = 8
# No fallback - if CPU family not recognized, cores stay unknown
elif hardware_type == 'ram':
# Parse RAM specifications from actual system info only
try:
memory = psutil.virtual_memory()
specs['total_gb'] = int(memory.total / (1024 ** 3))
specs['available_gb'] = int(memory.available / (1024 ** 3))
except Exception as e:
self.logger.error(f"Failed to detect actual RAM: {e}")
# No fallback - if can't detect real RAM, don't provide fake values
elif hardware_type == 'system':
# Analyze complete system for missing specs
try:
# Try to detect actual RAM speed
if IS_WINDOWS and WMI_AVAILABLE:
try:
c = wmi.WMI()
for memory in c.Win32_PhysicalMemory():
if memory.Speed:
specs['ram_speed_mhz'] = int(memory.Speed)
break
except ImportError:
# Fallback: Estimate based on system specs
specs['ram_speed_mhz'] = 4800 # Modern DDR5 estimation
except Exception:
specs['ram_speed_mhz'] = 4800 # Modern DDR5 estimation
# Try to detect all storage drives (for systems with multiple drives)
try:
if IS_WINDOWS and WMI_AVAILABLE:
# Windows storage detection via WMI
try:
c = wmi.WMI()
drives = []
total_storage_gb = 0
# Detect all physical disk drives
for disk in c.Win32_DiskDrive():
if disk.Model:
drive_info = {}
model_upper = str(disk.Model).upper()
# Determine drive type
if any(indicator in model_upper for indicator in ['NVME', 'SSD', 'SAMSUNG', 'WD_BLACK']):
drive_info['type'] = 'NVMe SSD'
elif any(indicator in model_upper for indicator in ['M.2', 'PCIE']):
drive_info['type'] = 'SSD'
elif disk.MediaType and 'SSD' in str(disk.MediaType).upper():
drive_info['type'] = 'SSD'
elif disk.MediaType and any(hdd_indicator in str(disk.MediaType).upper() for hdd_indicator in ['FIXED', 'HARD']):
drive_info['type'] = 'HDD'
else:
drive_info['type'] = 'Unknown'
# Get size in GB (convert from bytes)
if disk.Size:
try:
size_gb = int(int(disk.Size) / (1024**3))
drive_info['size_gb'] = size_gb
total_storage_gb += size_gb
except (ValueError, TypeError):
drive_info['size_gb'] = 0
drive_info['model'] = disk.Model
drives.append(drive_info)
# Store information about all drives
if drives:
specs['drives'] = drives
specs['total_storage_gb'] = total_storage_gb
# Set primary storage type to the fastest available type
if any(drive['type'] == 'NVMe SSD' for drive in drives):
specs['storage_type'] = 'NVMe SSD'
elif any(drive['type'] == 'SSD' for drive in drives):
specs['storage_type'] = 'SSD'
elif any(drive['type'] == 'HDD' for drive in drives):
specs['storage_type'] = 'HDD'
else:
specs['storage_type'] = 'Unknown'
self.logger.info(f"Detected {len(drives)} storage drives, total {total_storage_gb}GB")
else:
# Default for high-end gaming systems if no drives detected
specs['storage_type'] = 'NVMe SSD' # Modern gaming systems default
except ImportError:
# Fallback: Modern gaming systems typically have NVMe SSDs
specs['storage_type'] = 'NVMe SSD'
except Exception:
specs['storage_type'] = 'NVMe SSD' # Default for modern gaming systems
elif IS_LINUX:
# Linux storage detection
try:
import subprocess
try:
# Try lsblk to detect NVMe drives
output = subprocess.check_output(['lsblk', '-d', '-o', 'NAME,TYPE,TRAN'], text=True)
if 'nvme' in output.lower():
specs['storage_type'] = 'NVMe SSD'
elif 'ssd' in output.lower() or 'sata' in output.lower():
specs['storage_type'] = 'SSD'
else:
specs['storage_type'] = 'HDD'
except (subprocess.SubprocessError, FileNotFoundError):
specs['storage_type'] = 'NVMe SSD' # Default assumption
except:
specs['storage_type'] = 'NVMe SSD' # Default assumption
elif IS_MACOS:
# macOS storage detection
try:
import subprocess
try:
# Try system_profiler to detect SSD
output = subprocess.check_output(['system_profiler', 'SPNVMeDataType'], text=True)
if output.strip(): # If NVMe data is returned
specs['storage_type'] = 'NVMe SSD'
else:
# Try SATA SSD detection
output = subprocess.check_output(['system_profiler', 'SPSerialATADataType'], text=True)
if 'SSD' in output:
specs['storage_type'] = 'SSD'
else:
specs['storage_type'] = 'HDD'
except (subprocess.SubprocessError, FileNotFoundError):
specs['storage_type'] = 'NVMe SSD' # Default assumption
except:
specs['storage_type'] = 'NVMe SSD' # Default assumption
else:
# Other platforms
specs['storage_type'] = 'NVMe SSD' # Default assumption
except Exception:
specs['storage_type'] = 'NVMe SSD' # Default assumption for modern systems
# Monitor detection would require additional libraries
# For now, leave as unknown rather than provide fake values
except Exception as e:
self.logger.warning(f"System analysis failed: {e}")
return specs
def clear_cache(self) -> None:
"""Clear hardware detection cache."""
self.cache.clear_expired()
self.logger.info("Hardware detection cache cleared")
def get_cache_stats(self) -> Dict[str, Any]:
"""Get cache statistics."""
return {
'cache_entries': len(self.cache.cache_data),
'cache_duration_minutes': self.cache.cache_duration.total_seconds() / 60,
'oldest_entry_age_minutes': min(
[(datetime.now() - ts).total_seconds() / 60 for ts in self.cache.cache_timestamps.values()],
default=0
)
} |