Spaces:
Runtime error
Runtime error
File size: 5,782 Bytes
bf07f10 |
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 |
"""
Model management utility for cloud deployments.
Handles downloading and caching models from cloud storage.
"""
import os
import sys
import json
import hashlib
from pathlib import Path
from typing import Dict, Optional
import requests
# Add parent directory to path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
# Model registry - Update these URLs with your cloud storage
MODEL_REGISTRY = {
"best_swin.pth": {
"size_mb": 200,
# Replace with your actual cloud storage URL
"url": os.getenv("SWIN_MODEL_URL", ""),
"hash": "", # Optional: SHA256 hash for verification
},
"best_mobilenetv2.pth": {
"size_mb": 100,
"url": os.getenv("MOBILENETV2_MODEL_URL", ""),
"hash": "",
},
"best_densenet169.pth": {
"size_mb": 200,
"url": os.getenv("DENSENET_MODEL_URL", ""),
"hash": "",
},
"best_efficientnetv2.pth": {
"size_mb": 180,
"url": os.getenv("EFFICIENTNET_MODEL_URL", ""),
"hash": "",
},
"best_maxvit.pth": {
"size_mb": 220,
"url": os.getenv("MAXVIT_MODEL_URL", ""),
"hash": "",
},
}
MODELS_DIR = Path("./outputs")
MODELS_DIR.mkdir(exist_ok=True)
def check_model_exists(model_name: str) -> bool:
"""Check if a model file exists locally."""
model_path = MODELS_DIR / model_name
return model_path.exists()
def get_all_models_status() -> Dict[str, Dict]:
"""Get status of all models."""
status = {}
for model_name, config in MODEL_REGISTRY.items():
exists = check_model_exists(model_name)
status[model_name] = {
"exists": exists,
"size_mb": config["size_mb"],
"url": config["url"],
}
return status
def download_model(model_name: str, force: bool = False) -> bool:
"""
Download a model from cloud storage.
Args:
model_name: Name of the model file
force: Force download even if file exists
Returns:
True if successful, False otherwise
"""
if not force and check_model_exists(model_name):
print(f"โ
{model_name} already exists locally")
return True
if model_name not in MODEL_REGISTRY:
print(f"โ {model_name} not found in registry")
return False
config = MODEL_REGISTRY[model_name]
url = config.get("url")
if not url:
print(f"โ ๏ธ No download URL configured for {model_name}")
print(f" Set environment variable or update MODEL_REGISTRY")
return False
try:
print(f"๐ฅ Downloading {model_name} from cloud storage...")
response = requests.get(url, timeout=300, stream=True)
response.raise_for_status()
model_path = MODELS_DIR / model_name
total_size = int(response.headers.get('content-length', 0))
with open(model_path, 'wb') as f:
downloaded = 0
for chunk in response.iter_content(chunk_size=8192):
if chunk:
f.write(chunk)
downloaded += len(chunk)
if total_size:
percent = (downloaded / total_size) * 100
print(f" Progress: {percent:.1f}%", end='\r')
print(f"\nโ
Successfully downloaded {model_name}")
return True
except Exception as e:
print(f"โ Failed to download {model_name}: {e}")
return False
def download_all_models() -> Dict[str, bool]:
"""Download all models that have URLs configured."""
results = {}
for model_name in MODEL_REGISTRY:
results[model_name] = download_model(model_name)
return results
def initialize_models_for_deployment() -> bool:
"""
Initialize models for deployment.
Checks if models exist, attempts download if needed.
Returns:
True if all models are available, False otherwise
"""
print("\n๐ Checking model availability...")
status = get_all_models_status()
all_available = True
for model_name, info in status.items():
if info["exists"]:
print(f" โ
{model_name}")
else:
print(f" โ {model_name} - NOT FOUND")
if info["url"]:
print(f" URL configured: {info['url'][:50]}...")
else:
print(f" No download URL - configure via environment variables")
all_available = False
if not all_available:
print("\nโ ๏ธ Some models are missing!")
print(" Option 1: Configure cloud storage URLs and run: python -c 'from src.utils.model_manager import download_all_models; download_all_models()'")
print(" Option 2: Upload models manually to ./outputs/")
return False
print("\nโ
All models are available!")
return True
if __name__ == "__main__":
print("Model Manager - Cloud Deployment Utility")
print("=" * 50)
if len(sys.argv) > 1:
command = sys.argv[1]
if command == "status":
status = get_all_models_status()
print(json.dumps(status, indent=2))
elif command == "download-all":
results = download_all_models()
print("\nDownload Results:")
print(json.dumps(results, indent=2))
elif command == "check":
success = initialize_models_for_deployment()
sys.exit(0 if success else 1)
else:
print(f"Unknown command: {command}")
print("Available commands: status, download-all, check")
else:
# Default: check status
initialize_models_for_deployment()
|