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"""
Monitor Hugging Face model cache directory to track download progress.
This is a simpler approach that monitors the cache directory size.
"""
import os
import time
import threading
from pathlib import Path
from typing import Dict, Optional
from dataclasses import dataclass, field
@dataclass
class CacheProgress:
"""Track cache directory size progress."""
model_path: str
cache_path: Optional[str] = None
total_size_bytes: int = 0
current_size_bytes: int = 0
files_count: int = 0
files_completed: int = 0
last_updated: float = 0.0
is_monitoring: bool = False
@property
def percentage(self) -> float:
"""Calculate progress percentage."""
if self.total_size_bytes == 0:
# Estimate based on typical model sizes
if "32B" in self.model_path or "32b" in self.model_path:
estimated_size = 70 * 1024 * 1024 * 1024 # ~70GB for 32B
elif "7B" in self.model_path or "7b" in self.model_path:
estimated_size = 15 * 1024 * 1024 * 1024 # ~15GB for 7B
else:
estimated_size = 5 * 1024 * 1024 * 1024 # ~5GB default
return min(100.0, (self.current_size_bytes / estimated_size) * 100.0)
return min(100.0, (self.current_size_bytes / self.total_size_bytes) * 100.0)
@property
def size_gb(self) -> float:
"""Get current size in GB."""
return self.current_size_bytes / (1024 ** 3)
@property
def total_size_gb(self) -> float:
"""Get total size in GB."""
if self.total_size_bytes == 0:
# Estimate
if "32B" in self.model_path or "32b" in self.model_path:
return 70.0
elif "7B" in self.model_path or "7b" in self.model_path:
return 15.0
else:
return 5.0
return self.total_size_bytes / (1024 ** 3)
def to_dict(self) -> Dict:
"""Convert to dictionary."""
return {
"model_path": self.model_path,
"cache_path": self.cache_path,
"current_size_bytes": self.current_size_bytes,
"current_size_gb": round(self.size_gb, 2),
"total_size_bytes": self.total_size_bytes,
"total_size_gb": round(self.total_size_gb, 2),
"percentage": round(self.percentage, 2),
"files_count": self.files_count,
"files_completed": self.files_completed,
"is_monitoring": self.is_monitoring,
"last_updated": self.last_updated
}
class CacheMonitor:
"""Monitor cache directory for download progress."""
def __init__(self):
self._progress: Dict[str, CacheProgress] = {}
self._lock = threading.Lock()
self._monitoring_threads: Dict[str, threading.Thread] = {}
def get_or_create(self, model_path: str) -> CacheProgress:
"""Get or create progress tracker."""
with self._lock:
if model_path not in self._progress:
self._progress[model_path] = CacheProgress(model_path=model_path)
return self._progress[model_path]
def get(self, model_path: str) -> Optional[CacheProgress]:
"""Get progress tracker."""
with self._lock:
return self._progress.get(model_path)
def _get_cache_path(self, model_path: str) -> Optional[Path]:
"""Get cache path for model."""
try:
cache_dir = os.environ.get("HF_HOME") or os.path.expanduser("~/.cache/huggingface")
repo_id = model_path.replace("/", "--")
cache_path = Path(cache_dir) / "hub" / f"models--{repo_id}"
return cache_path if cache_path.exists() else None
except Exception:
return None
def _monitor_cache(self, model_path: str, interval: float = 2.0):
"""Monitor cache directory size."""
progress = self.get_or_create(model_path)
progress.is_monitoring = True
cache_path = self._get_cache_path(model_path)
if cache_path:
progress.cache_path = str(cache_path)
while progress.is_monitoring:
try:
if cache_path and cache_path.exists():
# Calculate current size
total_size = 0
file_count = 0
for file_path in cache_path.rglob("*"):
if file_path.is_file():
file_count += 1
total_size += file_path.stat().st_size
progress.current_size_bytes = total_size
progress.files_count = file_count
progress.last_updated = time.time()
# Check for key files to determine completion
key_files = ["config.json", "tokenizer.json", "model.safetensors", "pytorch_model.bin"]
found_files = []
for key_file in key_files:
if list(cache_path.rglob(key_file)):
found_files.append(key_file)
progress.files_completed = len(found_files)
# Estimate total size if not set
if progress.total_size_bytes == 0 and progress.files_completed == len(key_files):
# All key files found, use current size as total
progress.total_size_bytes = total_size
else:
# Cache doesn't exist yet, check if it was created
cache_path = self._get_cache_path(model_path)
if cache_path:
progress.cache_path = str(cache_path)
time.sleep(interval)
except Exception as e:
logger.error(f"Error monitoring cache: {e}")
time.sleep(interval)
def start_monitoring(self, model_path: str, interval: float = 2.0):
"""Start monitoring cache directory."""
with self._lock:
if model_path not in self._monitoring_threads:
thread = threading.Thread(
target=self._monitor_cache,
args=(model_path, interval),
daemon=True
)
thread.start()
self._monitoring_threads[model_path] = thread
def stop_monitoring(self, model_path: str):
"""Stop monitoring cache directory."""
with self._lock:
progress = self._progress.get(model_path)
if progress:
progress.is_monitoring = False
if model_path in self._monitoring_threads:
del self._monitoring_threads[model_path]
def get_progress(self, model_path: str) -> Optional[Dict]:
"""Get progress as dictionary."""
progress = self.get(model_path)
if progress:
return progress.to_dict()
return None
# Global monitor instance
_global_monitor = CacheMonitor()
def get_cache_monitor() -> CacheMonitor:
"""Get global cache monitor instance."""
return _global_monitor
# Import logger
import logging
logger = logging.getLogger(__name__)
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