#exonware/xsystem/performance/base.py
"""
Company: eXonware.com
Author: Eng. Muhammad AlShehri
Email: connect@exonware.com
Version: 0.0.1.364
Generation Date: September 04, 2025

Performance module base classes - abstract classes for performance functionality.
"""

from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional, Union, Callable
from .contracts import PerformanceMode, OptimizationLevel, BenchmarkType, ProfilerType


class APerformanceManagerBase(ABC):
    """Abstract base class for performance management."""
    
    def __init__(self, mode: PerformanceMode = PerformanceMode.BALANCED):
        """
        Initialize performance manager.
        
        Args:
            mode: Performance mode
        """
        self.mode = mode
        self._optimizations: Dict[str, Any] = {}
        self._benchmarks: Dict[str, Any] = {}
        self._profiles: Dict[str, Any] = {}
    
    @abstractmethod
    def set_mode(self, mode: PerformanceMode) -> None:
        """Set performance mode."""
        pass
    
    @abstractmethod
    def get_mode(self) -> PerformanceMode:
        """Get current performance mode."""
        pass
    
    @abstractmethod
    def optimize(self, optimization_level: OptimizationLevel = OptimizationLevel.MEDIUM) -> Dict[str, Any]:
        """Optimize system performance."""
        pass
    
    @abstractmethod
    def benchmark(self, benchmark_type: BenchmarkType, iterations: int = 1000) -> Dict[str, float]:
        """Run performance benchmark."""
        pass
    
    @abstractmethod
    def profile(self, profiler_type: ProfilerType, target: Callable, *args, **kwargs) -> Dict[str, Any]:
        """Profile function or code block."""
        pass
    
    @abstractmethod
    def get_performance_metrics(self) -> Dict[str, float]:
        """Get current performance metrics."""
        pass
    
    @abstractmethod
    def get_optimization_recommendations(self) -> List[str]:
        """Get performance optimization recommendations."""
        pass
    
    @abstractmethod
    def apply_optimization(self, optimization_name: str, **kwargs) -> bool:
        """Apply specific optimization."""
        pass
    
    @abstractmethod
    def reset_optimizations(self) -> None:
        """Reset all optimizations."""
        pass


class APerformanceProfilerBase(ABC):
    """Abstract base class for performance profiling."""
    
    def __init__(self, profiler_type: ProfilerType = ProfilerType.CPU):
        """
        Initialize performance profiler.
        
        Args:
            profiler_type: Type of profiler
        """
        self.profiler_type = profiler_type
        self._profiling_active = False
        self._profile_data: Dict[str, Any] = {}
    
    @abstractmethod
    def start_profiling(self) -> None:
        """Start performance profiling."""
        pass
    
    @abstractmethod
    def stop_profiling(self) -> Dict[str, Any]:
        """Stop performance profiling and return results."""
        pass
    
    @abstractmethod
    def is_profiling(self) -> bool:
        """Check if profiling is active."""
        pass
    
    @abstractmethod
    def profile_function(self, func: Callable, *args, **kwargs) -> Dict[str, Any]:
        """Profile a specific function."""
        pass
    
    @abstractmethod
    def profile_code_block(self, code: str, globals_dict: Dict[str, Any], 
                          locals_dict: Dict[str, Any]) -> Dict[str, Any]:
        """Profile a code block."""
        pass
    
    @abstractmethod
    def get_profile_summary(self) -> Dict[str, Any]:
        """Get profiling summary."""
        pass
    
    @abstractmethod
    def get_hotspots(self, limit: int = 10) -> List[Dict[str, Any]]:
        """Get performance hotspots."""
        pass
    
    @abstractmethod
    def export_profile(self, format: str = "json") -> str:
        """Export profile data."""
        pass


class APerformanceOptimizerBase(ABC):
    """Abstract base class for performance optimization."""
    
    def __init__(self):
        """Initialize performance optimizer."""
        self._optimizations_applied: List[str] = []
        self._optimization_history: List[Dict[str, Any]] = []
    
    @abstractmethod
    def analyze_performance(self) -> Dict[str, Any]:
        """Analyze current performance."""
        pass
    
    @abstractmethod
    def suggest_optimizations(self) -> List[Dict[str, Any]]:
        """Suggest performance optimizations."""
        pass
    
    @abstractmethod
    def apply_optimization(self, optimization: str, **kwargs) -> bool:
        """Apply specific optimization."""
        pass
    
    @abstractmethod
    def revert_optimization(self, optimization: str) -> bool:
        """Revert specific optimization."""
        pass
    
    @abstractmethod
    def get_optimization_impact(self, optimization: str) -> Dict[str, float]:
        """Get optimization impact metrics."""
        pass
    
    @abstractmethod
    def optimize_memory_usage(self) -> Dict[str, Any]:
        """Optimize memory usage."""
        pass
    
    @abstractmethod
    def optimize_cpu_usage(self) -> Dict[str, Any]:
        """Optimize CPU usage."""
        pass
    
    @abstractmethod
    def optimize_io_operations(self) -> Dict[str, Any]:
        """Optimize I/O operations."""
        pass
    
    @abstractmethod
    def optimize_network_operations(self) -> Dict[str, Any]:
        """Optimize network operations."""
        pass
    
    @abstractmethod
    def get_optimization_status(self) -> Dict[str, bool]:
        """Get status of all optimizations."""
        pass


class APerformanceBenchmarkBase(ABC):
    """Abstract base class for performance benchmarking."""
    
    def __init__(self, benchmark_type: BenchmarkType = BenchmarkType.CPU):
        """
        Initialize performance benchmark.
        
        Args:
            benchmark_type: Type of benchmark
        """
        self.benchmark_type = benchmark_type
        self._benchmark_results: Dict[str, List[float]] = {}
        self._baseline_results: Dict[str, float] = {}
    
    @abstractmethod
    def run_benchmark(self, iterations: int = 1000, warmup: int = 100) -> Dict[str, float]:
        """Run performance benchmark."""
        pass
    
    @abstractmethod
    def benchmark_function(self, func: Callable, *args, iterations: int = 1000, **kwargs) -> Dict[str, float]:
        """Benchmark specific function."""
        pass
    
    @abstractmethod
    def benchmark_code_block(self, code: str, iterations: int = 1000) -> Dict[str, float]:
        """Benchmark code block."""
        pass
    
    @abstractmethod
    def set_baseline(self, name: str, value: float) -> None:
        """Set baseline performance value."""
        pass
    
    @abstractmethod
    def compare_with_baseline(self, name: str, current_value: float) -> Dict[str, Any]:
        """Compare current performance with baseline."""
        pass
    
    @abstractmethod
    def get_benchmark_history(self) -> Dict[str, List[float]]:
        """Get benchmark history."""
        pass
    
    @abstractmethod
    def export_benchmark_results(self, format: str = "json") -> str:
        """Export benchmark results."""
        pass
    
    @abstractmethod
    def get_performance_trend(self, name: str) -> Dict[str, Any]:
        """Get performance trend analysis."""
        pass


class APerformanceCacheBase(ABC):
    """Abstract base class for performance caching."""
    
    def __init__(self, cache_size: int = 1000):
        """
        Initialize performance cache.
        
        Args:
            cache_size: Maximum cache size
        """
        self.cache_size = cache_size
        self._cache: Dict[str, Any] = {}
        self._cache_stats: Dict[str, int] = {"hits": 0, "misses": 0}
    
    @abstractmethod
    def cache_result(self, key: str, result: Any, ttl: Optional[int] = None) -> None:
        """Cache performance result."""
        pass
    
    @abstractmethod
    def get_cached_result(self, key: str) -> Optional[Any]:
        """Get cached performance result."""
        pass
    
    @abstractmethod
    def invalidate_cache(self, key: str) -> None:
        """Invalidate cached result."""
        pass
    
    @abstractmethod
    def clear_cache(self) -> None:
        """Clear all cached results."""
        pass
    
    @abstractmethod
    def get_cache_stats(self) -> Dict[str, int]:
        """Get cache statistics."""
        pass
    
    @abstractmethod
    def get_cache_hit_rate(self) -> float:
        """Get cache hit rate."""
        pass
    
    @abstractmethod
    def optimize_cache(self) -> Dict[str, Any]:
        """Optimize cache performance."""
        pass
