"""
Runtime Services Facade

Main facade: XWRuntimeHelper extends ARuntimeHelper
Provides concrete implementation for all runtime services.
"""

from typing import Dict, List, Optional, Tuple, Any
from .base import ARuntimeHelper
from ..defs import LazyLoadMode, LazyInstallMode

class XWRuntimeHelper(ARuntimeHelper):
    """
    Concrete implementation of ARuntimeHelper.
    
    Provides runtime services for state management, learning, monitoring, and caching.
    """
    
    def __init__(self):
        """Initialize XW runtime services."""
        super().__init__()
    
    # Abstract methods from ARuntime that need implementation
    def record_import(self, module_name: str, import_time: float) -> None:
        """Record an import event."""
        # TODO: Implement import recording
        pass
    
    def predict_next_imports(self, current_module: str, count: int = 3) -> List[str]:
        """Predict next likely imports based on patterns."""
        # TODO: Implement prediction logic
        return []
    
    def get_module_score(self, module_name: str) -> float:
        """Get priority score for a module."""
        # TODO: Implement scoring logic
        return 0.0
    
    def detect_load_level(
        self,
        module_count: int = 0,
        total_import_time: float = 0.0,
        import_count: int = 0,
        memory_usage_mb: float = 0.0
    ):
        """Detect current load level."""
        # TODO: Implement load level detection
        from .intelligent_selector import LoadLevel
        return LoadLevel.LIGHT
    
    def get_optimal_mode(self, load_level) -> Tuple[LazyLoadMode, LazyInstallMode]:
        """Get optimal mode for a load level."""
        # TODO: Implement mode selection
        return LazyLoadMode.AUTO, LazyInstallMode.SMART
    
    def update_mode_map(self, mode_map: Dict[Any, Tuple[LazyLoadMode, LazyInstallMode]]) -> None:
        """Update mode mapping with benchmark results."""
        # TODO: Implement mode map update
        pass
    
    def get_metric_stats(self, name: str) -> Dict[str, Any]:
        """Get statistics for a metric."""
        with self._lock:
            values = self._metrics.get(name, [])
            if not values:
                return {'count': 0, 'total': 0.0, 'average': 0.0, 'min': 0.0, 'max': 0.0}
            return {
                'count': len(values),
                'total': sum(values),
                'average': sum(values) / len(values),
                'min': min(values),
                'max': max(values)
            }
    
    def get_all_stats(self) -> Dict[str, Dict[str, Any]]:
        """Get statistics for all metrics."""
        with self._lock:
            return {name: self.get_metric_stats(name) for name in self._metrics.keys()}
    
    def get_performance_stats(self) -> Dict[str, Any]:
        """Get performance statistics."""
        with self._lock:
            return {
                'load_times': {k: {'count': len(v), 'total': sum(v), 'average': sum(v) / len(v) if v else 0.0} 
                              for k, v in self._load_times.items()},
                'access_counts': self._access_counts.copy(),
                'memory_usage': 0.0  # TODO: Implement memory usage tracking
            }
    
    def shutdown_multi_tier_cache(self) -> None:
        """Shutdown cache (flush L2, cleanup threads)."""
        # TODO: Implement cache shutdown
        pass

