Atölye Kurulumu: Python 3.12, uv, PyTorch, FAISS, Polars ve Jupyter Lab

# verify_atolye.py — Atölye sağlık kontrolü
import sys
import importlib
 
REQUIRED = {
    "numpy": "2.0",
    "scipy": "1.13",
    "pandas": "2.0",
    "polars": "1.0",
    "sklearn": "1.5",
    "torch": "2.5",
    "faiss": "1.8",
    "implicit": "0.7",
    "lightfm": "1.17",
    "surprise": "1.1",
    "matplotlib": "3.8",
    "xgboost": "2.0",
    "lightgbm": "4.0",
}
 
def check_version(pkg, min_ver):
    try:
        mod = importlib.import_module(pkg)
        ver = mod.__version__
        return True, ver
    except ImportError:
        return False, None
 
print("=" * 60)
print("🔍 Recommender Systems Master Class — Atölye Sağlık Kontrolü")
print("=" * 60)
print(f"Python: {sys.version.split()[0]}")
print("-" * 60)
 
failed = []
for pkg, min_ver in REQUIRED.items():
    ok, ver = check_version(pkg, min_ver)
    status = "✅" if ok else "❌"
    print(f"{status} {pkg:15s} → {ver if ok else 'YÜKLÜ DEĞİL'}")
    if not ok:
        failed.append(pkg)
 
print("-" * 60)
 
# PyTorch GPU/MPS kontrolü
try:
    import torch
    if torch.cuda.is_available():
        print(f"🎮 CUDA: {torch.cuda.get_device_name(0)} (count: {torch.cuda.device_count()})")
    elif torch.backends.mps.is_available():
        print("🎮 MPS: Apple Silicon GPU mevcut")
    else:
        print("⚠️  GPU yok — CPU-only modunda çalışacak (yavaş ama OK)")
except Exception as e:
    print(f"⚠️  PyTorch GPU kontrolü başarısız: {e}")
 
# FAISS GPU kontrolü
try:
    import faiss
    gpu_count = faiss.get_num_gpus()
    if gpu_count > 0:
        print(f"🎮 FAISS GPU: {gpu_count} GPU görüldü")
    else:
        print("ℹ️  FAISS CPU-only (Mac veya CPU-only kurulum normal)")
except Exception as e:
    print(f"⚠️  FAISS kontrolü başarısız: {e}")
 
print("=" * 60)
if failed:
    print(f"❌ Eksik paketler: {', '.join(failed)}")
    print("   Yeniden yükle: uv add " + " ".join(failed))
    sys.exit(1)
else:
    print("🎉 Tüm paketler hazır — bir sonraki derse geçebilirsin!")