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health_check.py
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#!/usr/bin/env python3
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# health_check.py - فحص صحة النظام قبل النشر
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import os
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import sys
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import torch
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import logging
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from pathlib import Path
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def check_python_version():
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"""فحص إصدار Python"""
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version = sys.version_info
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if version.major == 3 and version.minor >= 9:
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print(f"✅ Python {version.major}.{version.minor}.{version.micro}")
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return True
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else:
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print(f"❌ Python {version.major}.{version.minor}.{version.micro} - يتطلب Python 3.9+")
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return False
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def check_pytorch():
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"""فحص PyTorch"""
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try:
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print(f"✅ PyTorch {torch.__version__}")
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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print(f"✅ Device: {device}")
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return True
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except Exception as e:
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print(f"❌ PyTorch Error: {e}")
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return False
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def check_required_files():
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"""فحص الملفات المطلوبة"""
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required_files = [
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"app.py",
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"model_definition.py",
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"simulation_modules.py",
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"requirements.txt",
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"Dockerfile",
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"app_config.yaml",
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"model/best_model.pth"
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]
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missing_files = []
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for file in required_files:
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if Path(file).exists():
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size = Path(file).stat().st_size
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print(f"✅ {file} ({size:,} bytes)")
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else:
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print(f"❌ {file} - مفقود")
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missing_files.append(file)
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return len(missing_files) == 0
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def check_model_loading():
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"""فحص تحميل النموذج"""
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try:
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from model_definition import InterfuserModel, create_model_config, load_and_prepare_model
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# إنشاء إعدادات النموذج
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config = create_model_config("model/best_model.pth")
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print("✅ تم إنشاء إعدادات النموذج")
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# تحميل النموذج
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device = torch.device("cpu")
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model = load_and_prepare_model(config, device)
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print("✅ تم تحميل النموذج بنجاح")
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return True
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except Exception as e:
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print(f"❌ خطأ في تحميل النموذج: {e}")
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return False
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def check_api_imports():
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"""فحص استيراد مكونات الـ API"""
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try:
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from app import app
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print("✅ تم استيراد FastAPI app")
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from simulation_modules import DisplayInterface, InterfuserController
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print("✅ تم استيراد وحدات المحاكاة")
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return True
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except Exception as e:
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print(f"❌ خطأ في استيراد الـ API: {e}")
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return False
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def main():
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"""الفحص الشامل للنظام"""
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print("🔍 فحص صحة نظام Baseer Self-Driving API")
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print("=" * 50)
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checks = [
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("Python Version", check_python_version),
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("PyTorch", check_pytorch),
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("Required Files", check_required_files),
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("API Imports", check_api_imports),
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("Model Loading", check_model_loading),
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]
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passed = 0
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total = len(checks)
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for name, check_func in checks:
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print(f"\n🔍 {name}:")
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try:
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if check_func():
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passed += 1
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else:
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print(f"❌ فشل في فحص {name}")
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except Exception as e:
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print(f"❌ خطأ في فحص {name}: {e}")
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print("\n" + "=" * 50)
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print(f"📊 النتيجة النهائية: {passed}/{total} فحوصات نجحت")
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if passed == total:
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print("🎉 النظام جاهز للنشر!")
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return True
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else:
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print("⚠️ يجب إصلاح المشاكل قبل النشر")
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return False
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if __name__ == "__main__":
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success = main()
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sys.exit(0 if success else 1)
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