File size: 1,505 Bytes
3eecd6b | 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 | import shutil
from pathlib import Path
import json
# Path ke backup yang ASLI (nested)
src = Path("/content/drive/MyDrive/colab_backup/project_latest/project_20260910_201145")
# --- 1. Restore /content/models ---
src_models = src / "models"
if src_models.exists():
if Path("/content/models").exists():
shutil.rmtree("/content/models")
shutil.copytree(src_models, "/content/models")
print("✓ /content/models di-restore:")
for m in Path("/content/models").iterdir():
size = sum(f.stat().st_size for f in m.rglob("*") if f.is_file())
print(f" - {m.name} ({size/(1024*1024):.1f} MB)")
else:
print(f"✗ {src_models} tidak ada")
# --- 2. Restore /content/config.json ---
src_cfg = src / "config.json"
if src_cfg.exists():
shutil.copy2(src_cfg, "/content/config.json")
print("\n✓ /content/config.json di-restore")
with open("/content/config.json") as f:
cfg = json.load(f)
print(f" Models: {list(cfg.get('models', {}).keys())}")
print(f" Current: {cfg.get('current_model')}")
else:
print(f"\n✗ {src_cfg} tidak ada")
# --- 3. Restore dataset besar kalau ada ---
src_data = src / "data"
if src_data.exists():
for f in src_data.iterdir():
if f.is_file() and f.stat().st_size > 100000:
dest = Path("/content/data") / f.name
dest.parent.mkdir(parents=True, exist_ok=True)
shutil.copy2(f, dest)
print(f"✓ Dataset: {f.name} ({f.stat().st_size/(1024*1024):.2f} MB)") |