trustformers_mobile/lifecycle/

mod.rs

//! Background Execution and App Lifecycle Management
//!
//! This module provides comprehensive app lifecycle management and background execution
//! capabilities for mobile ML applications, handling transitions between app states,
//! resource management, and background task coordination.

pub mod config;
pub mod state;
pub mod stats;
pub mod tasks;

// Re-export public types
pub use config::*;
pub use state::*;
pub use stats::*;
pub use tasks::*;

use crate::{battery::BatteryLevel, device_info::MobileDeviceInfo};
use std::collections::{HashMap, VecDeque};
use std::time::{Duration, Instant};
use trustformers_core::error::{CoreError, Result};
use trustformers_core::TrustformersError;

/// App lifecycle manager for mobile ML applications
pub struct AppLifecycleManager {
    config: LifecycleConfig,
    state_manager: AppStateManager,
    background_coordinator: BackgroundCoordinator,
    resource_manager: ResourceManager,
    persistence_manager: PersistenceManager,
    notification_handler: NotificationHandler,
    task_scheduler: LifecycleTaskScheduler,
    lifecycle_stats: LifecycleStats,
    system_monitors: SystemMonitors,
}

/// Resource manager for lifecycle operations
pub struct ResourceManager {
    resource_allocation: ResourceAllocation,
    memory_monitor: MemoryMonitor,
    cleanup_scheduler: CleanupScheduler,
    thermal_monitor: ThermalMonitor,
    battery_monitor: BatteryMonitor,
}

/// Resource allocation tracker
pub struct ResourceAllocation {
    allocated_cpu_percent: u8,
    allocated_memory_mb: usize,
    allocated_network_mbps: f32,
    allocated_gpu_percent: Option<u8>,
    available_resources: AvailableResources,
}

/// Available system resources
#[derive(Debug, Clone)]
pub struct AvailableResources {
    pub cpu_percent: u8,
    pub memory_mb: usize,
    pub network_mbps: f32,
    pub gpu_percent: Option<u8>,
    pub storage_gb: f32,
}

/// Memory pressure monitoring
pub struct MemoryMonitor {
    current_usage_mb: usize,
    peak_usage_mb: usize,
    pressure_level: MemoryPressureLevel,
    cleanup_threshold_mb: usize,
}

/// Cleanup scheduling system
pub struct CleanupScheduler {
    scheduled_cleanups: VecDeque<CleanupTask>,
    cleanup_history: Vec<CleanupResult>,
    last_cleanup_timestamp: Option<Instant>,
}

/// Cleanup task definition
#[derive(Debug, Clone)]
pub struct CleanupTask {
    pub task_id: String,
    pub cleanup_type: CleanupType,
    pub priority: CleanupPriority,
    pub scheduled_time: Instant,
    pub memory_target_mb: usize,
}

/// Types of cleanup operations
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum CleanupType {
    ModelCache,
    IntermediateTensors,
    BatchSizeReduction,
    ModelCompression,
    ModelOffload,
    GarbageCollection,
}

/// Cleanup operation result
#[derive(Debug, Clone)]
pub struct CleanupResult {
    pub task_id: String,
    pub cleanup_type: CleanupType,
    pub memory_freed_mb: usize,
    pub execution_time_ms: u64,
    pub success: bool,
    pub timestamp: Instant,
}

/// Thermal monitoring system
pub struct ThermalMonitor {
    current_temperature_celsius: f32,
    thermal_level: ThermalLevel,
    throttling_active: bool,
    thermal_history: VecDeque<ThermalReading>,
}

/// Thermal reading data point
#[derive(Debug, Clone)]
pub struct ThermalReading {
    pub timestamp: Instant,
    pub temperature_celsius: f32,
    pub thermal_level: ThermalLevel,
}

/// Battery monitoring system
pub struct BatteryMonitor {
    current_level_percent: u8,
    charging_status: ChargingStatus,
    drain_rate_percent_per_hour: f32,
    low_battery_threshold: u8,
    critical_battery_threshold: u8,
}

/// State persistence manager
pub struct PersistenceManager {
    state_store: StateStore,
    checkpoint_manager: CheckpointManager,
    backup_scheduler: BackupScheduler,
    recovery_manager: RecoveryManager,
}

/// State storage system
pub struct StateStore {
    current_checkpoint: Option<AppCheckpoint>,
    checkpoint_history: VecDeque<AppCheckpoint>,
    storage_path: String,
    max_checkpoints: usize,
}

/// Checkpoint management system
pub struct CheckpointManager {
    checkpoint_interval_seconds: u64,
    last_checkpoint_time: Option<Instant>,
    automatic_checkpoints: bool,
    compression_enabled: bool,
}

/// Backup scheduling system
pub struct BackupScheduler {
    backup_interval_hours: u64,
    last_backup_time: Option<Instant>,
    backup_location: String,
    max_backups: usize,
}

/// Recovery management system
pub struct RecoveryManager {
    recovery_strategies: HashMap<RecoveryScenario, RecoveryStrategy>,
    recovery_attempts: u32,
    max_recovery_attempts: u32,
    last_recovery_time: Option<Instant>,
}

/// Recovery scenarios
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum RecoveryScenario {
    AppCrash,
    MemoryPressure,
    ThermalThrottling,
    BatteryDrain,
    NetworkInterruption,
    CorruptedState,
}

/// Recovery strategies
#[derive(Debug, Clone)]
pub enum RecoveryStrategy {
    RestartApp,
    ClearCache,
    LoadLastCheckpoint,
    SafeMode,
    FactoryReset,
    Custom(String),
}

/// Notification handling system
pub struct NotificationHandler {
    notification_queue: VecDeque<Notification>,
    notification_throttler: NotificationThrottler,
    delivery_manager: NotificationDeliveryManager,
}

/// Notification throttling system
pub struct NotificationThrottler {
    rate_limits: HashMap<NotificationType, u32>,
    notification_counts: HashMap<NotificationType, u32>,
    reset_time: Instant,
}

/// Notification delivery manager
pub struct NotificationDeliveryManager {
    delivery_strategies: HashMap<NotificationType, DeliveryStrategy>,
    pending_notifications: VecDeque<Notification>,
    delivery_stats: NotificationDeliveryStats,
}

/// Notification delivery statistics
#[derive(Debug, Clone)]
pub struct NotificationDeliveryStats {
    pub total_sent: u32,
    pub successful_deliveries: u32,
    pub failed_deliveries: u32,
    pub average_delivery_time_ms: f32,
}

/// Notification definition
#[derive(Debug, Clone)]
pub struct Notification {
    pub id: String,
    pub notification_type: NotificationType,
    pub title: String,
    pub message: String,
    pub priority: TaskPriority,
    pub timestamp: Instant,
    pub metadata: HashMap<String, String>,
}

/// Task scheduling system
pub struct LifecycleTaskScheduler {
    task_executor: TaskExecutorImpl,
    execution_context: ExecutionContext,
    system_constraints: SystemConstraints,
}

/// Task executor implementation
pub struct TaskExecutorImpl {
    max_concurrent_tasks: usize,
    active_tasks: HashMap<String, TaskExecutionContext>,
    task_queue: VecDeque<BackgroundTask>,
}

/// Execution context for tasks
pub struct ExecutionContext {
    available_resources: AvailableResources,
    system_state: SystemState,
    user_context: UserContext,
}

/// System state information
#[derive(Debug, Clone)]
pub struct SystemState {
    pub app_state: AppState,
    pub battery_level: u8,
    pub thermal_level: ThermalLevel,
    pub network_connected: bool,
    pub memory_pressure: MemoryPressureLevel,
}

/// User context information
#[derive(Debug, Clone)]
pub struct UserContext {
    pub user_present: bool,
    pub last_interaction_time: Option<Instant>,
    pub interaction_frequency: f32,
    pub current_session_duration: Duration,
}

/// System execution constraints
pub struct SystemConstraints {
    max_cpu_usage_percent: u8,
    max_memory_usage_mb: usize,
    max_network_usage_mbps: f32,
    thermal_limit: ThermalLevel,
    battery_limit: u8,
}

/// System monitoring collection
pub struct SystemMonitors {
    cpu_monitor: CpuMonitor,
    memory_monitor: MemorySystemMonitor,
    network_monitor: NetworkMonitor,
    device_monitor: DeviceMonitor,
}

/// CPU monitoring system
#[derive(Debug, Clone)]
pub struct CpuMonitor {
    pub current_usage_percent: f32,
    pub core_count: usize,
    pub frequency_mhz: f32,
    pub temperature_celsius: f32,
}

/// Memory system monitoring
#[derive(Debug, Clone)]
pub struct MemorySystemMonitor {
    pub total_memory_mb: usize,
    pub available_memory_mb: usize,
    pub used_memory_mb: usize,
    pub cached_memory_mb: usize,
}

/// Network monitoring system
pub struct NetworkMonitor {
    connection_type: NetworkConnectionType,
    signal_strength: u8,
    bandwidth_mbps: f32,
    latency_ms: f32,
    data_usage_mb: f32,
}

/// Device monitoring system
#[derive(Debug, Clone)]
pub struct DeviceMonitor {
    pub device_info: MobileDeviceInfo,
    pub performance_tier: crate::device_info::PerformanceTier,
    pub thermal_state: ThermalLevel,
    pub battery_state: BatteryLevel,
}

impl AppLifecycleManager {
    /// Create new lifecycle manager with configuration
    pub fn new(config: LifecycleConfig) -> Result<Self> {
        Ok(Self {
            state_manager: AppStateManager::new(),
            background_coordinator: BackgroundCoordinator::new(
                config.background_tasks.max_concurrent_tasks,
            ),
            resource_manager: ResourceManager::new(&config)?,
            persistence_manager: PersistenceManager::new(&config)?,
            notification_handler: NotificationHandler::new(&config),
            task_scheduler: LifecycleTaskScheduler::new(&config)?,
            lifecycle_stats: LifecycleStats::new(),
            system_monitors: SystemMonitors::new()?,
            config,
        })
    }

    /// Initialize lifecycle manager
    pub fn initialize(&mut self) -> Result<()> {
        // Initialize system monitors
        self.system_monitors.initialize()?;

        // Load persisted state if available
        if self.config.enable_state_persistence {
            self.persistence_manager.load_state()?;
        }

        // Start background monitoring
        self.start_background_monitoring()?;

        // Transition to active state
        let context = self.create_transition_context()?;
        self.state_manager
            .transition_to_state(AppState::Active, TransitionReason::SystemRequest, context)
            .map_err(|e| {
                TrustformersError::runtime_error(format!("State transition failed: {}", e))
            })?;

        Ok(())
    }

    /// Handle app state transition
    pub fn handle_state_transition(
        &mut self,
        new_state: AppState,
        reason: TransitionReason,
    ) -> Result<()> {
        let context = self.create_transition_context()?;
        self.state_manager
            .transition_to_state(new_state, reason, context.clone())
            .map_err(|e| {
                TrustformersError::runtime_error(format!("State transition failed: {}", e))
            })?;

        // Update statistics
        let timestamp = std::time::SystemTime::now()
            .duration_since(std::time::UNIX_EPOCH)
            .expect("SystemTime should be after UNIX_EPOCH")
            .as_secs();

        self.lifecycle_stats.update_stats(StatsUpdate::AppStateTransition {
            from: self.state_manager.previous_state(),
            to: new_state,
            timestamp,
        });

        // Handle state-specific logic
        match new_state {
            AppState::Background => self.handle_background_transition()?,
            AppState::Active => self.handle_foreground_transition()?,
            AppState::Suspended => self.handle_suspend_transition()?,
            AppState::Terminating => self.handle_termination()?,
            _ => {},
        }

        Ok(())
    }

    /// Schedule background task
    pub fn schedule_background_task(&mut self, task: BackgroundTask) -> Result<()> {
        // Validate task against current constraints
        if !self.can_schedule_task(&task)? {
            return Err(TrustformersError::hardware_error(
                "Cannot schedule task due to system constraints",
                "schedule_background_task",
            )
            .into());
        }

        // Schedule with background coordinator
        self.background_coordinator.schedule_task(task).map_err(|e| {
            TrustformersError::runtime_error(format!("Failed to schedule task: {}", e))
        })?;

        Ok(())
    }

    /// Execute background tasks
    pub fn execute_background_tasks(&mut self) -> Result<Vec<TaskResult>> {
        let mut results = Vec::new();

        // Execute available tasks
        while let Some(result) = self.background_coordinator.execute_next_task().map_err(|e| {
            TrustformersError::runtime_error(format!("Failed to execute task: {}", e))
        })? {
            // Update statistics
            if let Some(task_type) = self.extract_task_type(&result) {
                let execution_update = TaskExecutionUpdate {
                    execution_time_seconds: result.execution_time_seconds,
                    success: result.status == tasks::TaskStatus::Completed,
                    priority: TaskPriority::Normal, // Extract from result metadata
                    resource_usage: self.convert_resource_usage(&result.resource_usage),
                    wait_time_seconds: 0.0, // Calculate from queue time
                };

                self.lifecycle_stats.update_stats(StatsUpdate::TaskExecution {
                    task_type,
                    execution_stats: execution_update,
                });
            }

            results.push(result);
        }

        Ok(results)
    }

    /// Handle memory pressure warning
    pub fn handle_memory_pressure(&mut self, pressure_level: MemoryPressureLevel) -> Result<()> {
        if !self.config.memory_warning_handling.enable_handling {
            return Ok(());
        }

        // Update resource monitor
        self.resource_manager.memory_monitor.pressure_level = pressure_level;

        // Execute cleanup strategies based on pressure level
        if let Some(cleanup_strategy) = self
            .config
            .resource_management
            .memory_pressure_response
            .cleanup_strategies
            .get(&pressure_level)
            .cloned()
        {
            self.execute_cleanup_strategy(&cleanup_strategy)?;
        }

        Ok(())
    }

    /// Handle thermal warning
    pub fn handle_thermal_warning(&mut self, thermal_level: ThermalLevel) -> Result<()> {
        if !self.config.thermal_warning_handling.enable_handling {
            return Ok(());
        }

        // Update thermal monitor
        self.resource_manager.thermal_monitor.thermal_level = thermal_level;

        // Apply thermal response strategies
        if self.config.resource_management.thermal_pressure_response.enable_response {
            self.apply_thermal_response(thermal_level)?;
        }

        Ok(())
    }

    /// Get current system status
    pub fn get_system_status(&self) -> SystemStatus {
        SystemStatus {
            app_state: self.state_manager.current_state(),
            resource_usage: self.resource_manager.get_current_usage(),
            active_tasks: self.background_coordinator.get_running_tasks(),
            system_health: self.calculate_system_health(),
            performance_metrics: self.lifecycle_stats.performance_stats.clone(),
        }
    }

    /// Get lifecycle statistics
    pub fn get_statistics(&self) -> &LifecycleStats {
        &self.lifecycle_stats
    }

    /// Generate statistics report
    pub fn generate_stats_report(&self) -> StatsSummaryReport {
        self.lifecycle_stats.generate_summary_report()
    }

    // Private implementation methods

    fn create_transition_context(&self) -> Result<TransitionContext> {
        let system_monitors = &self.system_monitors;

        Ok(TransitionContext {
            available_memory_mb: system_monitors.memory_monitor.available_memory_mb,
            battery_level_percent: self.resource_manager.battery_monitor.current_level_percent,
            cpu_temperature_celsius: system_monitors.cpu_monitor.temperature_celsius,
            network_connected: self.system_monitors.network_monitor.is_connected(),
            active_background_tasks: self.background_coordinator.get_running_tasks().len(),
            time_since_user_interaction_seconds: self.calculate_time_since_user_interaction(),
            foreground_duration_seconds: self.calculate_foreground_duration(),
            background_duration_seconds: self.calculate_background_duration(),
            system_pressure: SystemPressureIndicators {
                memory_pressure: self.resource_manager.memory_monitor.pressure_level,
                thermal_state: self.resource_manager.thermal_monitor.thermal_level,
                battery_state: self.determine_battery_state(),
                network_quality: self.assess_network_quality(),
            },
            resource_usage: self.capture_resource_usage_snapshot(),
        })
    }

    fn handle_background_transition(&mut self) -> Result<()> {
        // Apply background resource limits
        self.resource_manager
            .apply_background_limits(&self.config.resource_management.background_limits)?;

        // Pause non-essential tasks
        self.background_coordinator.pause_non_essential_tasks()?;

        Ok(())
    }

    fn handle_foreground_transition(&mut self) -> Result<()> {
        // Restore foreground resource allocation
        self.resource_manager
            .apply_foreground_allocation(&self.config.resource_management.foreground_allocation)?;

        // Resume paused tasks
        self.background_coordinator.resume_paused_tasks()?;

        Ok(())
    }

    fn handle_suspend_transition(&mut self) -> Result<()> {
        // Save current state
        if self.config.enable_state_persistence {
            self.persistence_manager.create_checkpoint()?;
        }

        // Suspend all background tasks
        self.background_coordinator.suspend_all_tasks()?;

        Ok(())
    }

    fn handle_termination(&mut self) -> Result<()> {
        // Final state save
        if self.config.enable_state_persistence {
            self.persistence_manager.create_checkpoint()?;
        }

        // Cancel all background tasks
        self.background_coordinator.cancel_all_tasks()?;

        // Clean up resources
        self.resource_manager.cleanup_all_resources()?;

        Ok(())
    }

    fn can_schedule_task(&self, task: &BackgroundTask) -> Result<bool> {
        // Check resource availability
        let available = &self.resource_manager.resource_allocation.available_resources;

        if task.resource_requirements.min_cpu_percent > available.cpu_percent {
            return Ok(false);
        }

        if task.resource_requirements.min_memory_mb > available.memory_mb {
            return Ok(false);
        }

        // Check system constraints
        if task.execution_constraints.min_battery_percent
            > self.resource_manager.battery_monitor.current_level_percent
        {
            return Ok(false);
        }

        if task.execution_constraints.max_thermal_level
            < self.resource_manager.thermal_monitor.thermal_level
        {
            return Ok(false);
        }

        Ok(true)
    }

    fn execute_cleanup_strategy(&mut self, strategy: &CleanupStrategy) -> Result<()> {
        let cleanup_tasks = self.create_cleanup_tasks(strategy);

        for task in cleanup_tasks {
            let result = self.execute_cleanup_task(&task)?;
            self.resource_manager.cleanup_scheduler.cleanup_history.push(result);
        }

        Ok(())
    }

    fn create_cleanup_tasks(&self, strategy: &CleanupStrategy) -> Vec<CleanupTask> {
        let mut tasks = Vec::new();

        if strategy.clear_model_cache {
            tasks.push(CleanupTask {
                task_id: "clear_model_cache".to_string(),
                cleanup_type: CleanupType::ModelCache,
                priority: strategy.cleanup_priority,
                scheduled_time: Instant::now(),
                memory_target_mb: 100,
            });
        }

        if strategy.clear_intermediate_tensors {
            tasks.push(CleanupTask {
                task_id: "clear_intermediate_tensors".to_string(),
                cleanup_type: CleanupType::IntermediateTensors,
                priority: strategy.cleanup_priority,
                scheduled_time: Instant::now(),
                memory_target_mb: 50,
            });
        }

        // Add more cleanup tasks based on strategy

        tasks
    }

    fn execute_cleanup_task(&self, task: &CleanupTask) -> Result<CleanupResult> {
        let start_time = Instant::now();

        // Execute cleanup based on type
        let memory_freed = match task.cleanup_type {
            CleanupType::ModelCache => self.clear_model_cache()?,
            CleanupType::IntermediateTensors => self.clear_intermediate_tensors()?,
            CleanupType::GarbageCollection => self.force_garbage_collection()?,
            _ => 0,
        };

        let execution_time = start_time.elapsed().as_millis() as u64;

        Ok(CleanupResult {
            task_id: task.task_id.clone(),
            cleanup_type: task.cleanup_type,
            memory_freed_mb: memory_freed,
            execution_time_ms: execution_time,
            success: memory_freed > 0,
            timestamp: Instant::now(),
        })
    }

    fn apply_thermal_response(&mut self, thermal_level: ThermalLevel) -> Result<()> {
        let response_config = &self.config.resource_management.thermal_pressure_response;

        // Apply frequency reduction if enabled
        if response_config.frequency_reduction.enable_reduction {
            if let Some(reduction_factor) =
                response_config.frequency_reduction.reduction_factors.get(&thermal_level)
            {
                self.apply_frequency_reduction(*reduction_factor)?;
            }
        }

        // Apply performance scaling
        match response_config.performance_scaling {
            PerformanceScalingStrategy::Linear => self.apply_linear_scaling(thermal_level)?,
            PerformanceScalingStrategy::Exponential => {
                self.apply_exponential_scaling(thermal_level)?
            },
            PerformanceScalingStrategy::Adaptive => self.apply_adaptive_scaling(thermal_level)?,
            PerformanceScalingStrategy::UserDefined => {}, // Custom implementation
        }

        Ok(())
    }

    fn start_background_monitoring(&mut self) -> Result<()> {
        // Start periodic resource monitoring
        // This would typically spawn background threads or use async tasks
        // For this implementation, we'll use a simplified approach

        self.system_monitors.start_monitoring()?;

        Ok(())
    }

    // Utility methods for calculations and conversions

    fn extract_task_type(&self, result: &TaskResult) -> Option<TaskType> {
        // Extract task type from result metadata (simplified)
        Some(TaskType::ModelUpdate) // Default implementation
    }

    fn convert_resource_usage(&self, usage: &TaskResourceUsage) -> AvgResourceConsumption {
        AvgResourceConsumption {
            avg_cpu_percent: usage.avg_cpu_percent,
            avg_memory_mb: usage.avg_memory_mb as f32,
            avg_network_mb: usage.network_data_mb,
            avg_battery_mah: usage.battery_consumption_mah,
            avg_execution_time_seconds: 0.0, // Calculate from execution time
        }
    }

    fn calculate_time_since_user_interaction(&self) -> u64 {
        // Simplified implementation
        60 // 1 minute default
    }

    fn calculate_foreground_duration(&self) -> u64 {
        // Calculate based on state history
        300 // 5 minutes default
    }

    fn calculate_background_duration(&self) -> u64 {
        // Calculate based on state history
        30 // 30 seconds default
    }

    fn determine_battery_state(&self) -> BatteryLevel {
        match self.resource_manager.battery_monitor.current_level_percent {
            0..=15 => BatteryLevel::Critical,
            16..=30 => BatteryLevel::Low,
            31..=50 => BatteryLevel::Medium,
            51..=80 => BatteryLevel::High,
            _ => BatteryLevel::Full,
        }
    }

    fn assess_network_quality(&self) -> NetworkQuality {
        if !self.system_monitors.network_monitor.is_connected() {
            return NetworkQuality::Disconnected;
        }

        match self.system_monitors.network_monitor.bandwidth_mbps {
            0.0..=1.0 => NetworkQuality::Poor,
            1.1..=5.0 => NetworkQuality::Fair,
            5.1..=25.0 => NetworkQuality::Good,
            _ => NetworkQuality::Excellent,
        }
    }

    fn capture_resource_usage_snapshot(&self) -> ResourceUsageSnapshot {
        ResourceUsageSnapshot {
            cpu_usage_percent: self.system_monitors.cpu_monitor.current_usage_percent,
            memory_usage_mb: self.system_monitors.memory_monitor.used_memory_mb,
            gpu_usage_percent: None, // Platform-specific implementation needed
            network_usage_mbps: self.system_monitors.network_monitor.bandwidth_mbps,
            storage_io_mbps: 0.0,    // Platform-specific implementation needed
            active_models: 1,        // Get from model registry
            inference_queue_size: 0, // Get from inference engine
        }
    }

    fn calculate_system_health(&self) -> f32 {
        // Simplified health calculation
        let cpu_health = 100.0 - self.system_monitors.cpu_monitor.current_usage_percent;
        let memory_health = (self.system_monitors.memory_monitor.available_memory_mb as f32
            / self.system_monitors.memory_monitor.total_memory_mb as f32)
            * 100.0;
        let battery_health = self.resource_manager.battery_monitor.current_level_percent as f32;

        (cpu_health + memory_health + battery_health) / 3.0
    }

    // Cleanup implementation methods

    fn clear_model_cache(&self) -> Result<usize> {
        // Implementation would clear model cache and return freed memory
        Ok(100) // Simplified: return 100MB freed
    }

    fn clear_intermediate_tensors(&self) -> Result<usize> {
        // Implementation would clear intermediate computation tensors
        Ok(50) // Simplified: return 50MB freed
    }

    fn force_garbage_collection(&self) -> Result<usize> {
        // Implementation would trigger GC and return freed memory
        Ok(25) // Simplified: return 25MB freed
    }

    // Thermal response methods

    fn apply_frequency_reduction(&self, reduction_factor: f32) -> Result<()> {
        // Implementation would reduce inference frequency
        Ok(())
    }

    fn apply_linear_scaling(&self, _thermal_level: ThermalLevel) -> Result<()> {
        // Implementation would apply linear performance scaling
        Ok(())
    }

    fn apply_exponential_scaling(&self, _thermal_level: ThermalLevel) -> Result<()> {
        // Implementation would apply exponential performance scaling
        Ok(())
    }

    fn apply_adaptive_scaling(&self, _thermal_level: ThermalLevel) -> Result<()> {
        // Implementation would apply adaptive performance scaling
        Ok(())
    }
}

/// System status information
#[derive(Debug, Clone)]
pub struct SystemStatus {
    pub app_state: AppState,
    pub resource_usage: ResourceUsageSnapshot,
    pub active_tasks: Vec<(String, tasks::TaskStatus, f32)>,
    pub system_health: f32,
    pub performance_metrics: PerformanceStats,
}

// Implementation blocks for component managers

impl ResourceManager {
    fn new(config: &LifecycleConfig) -> Result<Self> {
        Ok(Self {
            resource_allocation: ResourceAllocation::new()?,
            memory_monitor: MemoryMonitor::new(
                &config.resource_management.memory_pressure_response,
            ),
            cleanup_scheduler: CleanupScheduler::new(),
            thermal_monitor: ThermalMonitor::new(
                &config.resource_management.thermal_pressure_response,
            ),
            battery_monitor: BatteryMonitor::new(
                &config.resource_management.battery_pressure_response,
            ),
        })
    }

    fn get_current_usage(&self) -> ResourceUsageSnapshot {
        ResourceUsageSnapshot {
            cpu_usage_percent: 50.0, // Get from system
            memory_usage_mb: self.memory_monitor.current_usage_mb,
            gpu_usage_percent: None,
            network_usage_mbps: 1.0,
            storage_io_mbps: 0.5,
            active_models: 1,
            inference_queue_size: 0,
        }
    }

    fn apply_background_limits(&mut self, limits: &BackgroundResourceLimits) -> Result<()> {
        self.resource_allocation.allocated_cpu_percent = limits.max_cpu_percent;
        self.resource_allocation.allocated_memory_mb = limits.max_memory_mb;
        self.resource_allocation.allocated_network_mbps = limits.max_network_mbps;
        Ok(())
    }

    fn apply_foreground_allocation(
        &mut self,
        allocation: &ForegroundResourceAllocation,
    ) -> Result<()> {
        self.resource_allocation.allocated_cpu_percent = allocation.cpu_allocation_percent;
        self.resource_allocation.allocated_memory_mb = allocation.memory_allocation_mb;
        self.resource_allocation.allocated_network_mbps = allocation.network_allocation_mbps;
        self.resource_allocation.allocated_gpu_percent = allocation.gpu_allocation_percent;
        Ok(())
    }

    fn cleanup_all_resources(&mut self) -> Result<()> {
        // Implementation would clean up all allocated resources
        Ok(())
    }
}

impl ResourceAllocation {
    fn new() -> Result<Self> {
        Ok(Self {
            allocated_cpu_percent: 0,
            allocated_memory_mb: 0,
            allocated_network_mbps: 0.0,
            allocated_gpu_percent: None,
            available_resources: AvailableResources {
                cpu_percent: 100,
                memory_mb: 1024,
                network_mbps: 10.0,
                gpu_percent: Some(100),
                storage_gb: 10.0,
            },
        })
    }
}

impl MemoryMonitor {
    fn new(config: &MemoryPressureResponse) -> Self {
        Self {
            current_usage_mb: 0,
            peak_usage_mb: 0,
            pressure_level: MemoryPressureLevel::Normal,
            cleanup_threshold_mb: (config.pressure_thresholds.warning_percent as usize * 1024)
                / 100,
        }
    }
}

impl CleanupScheduler {
    fn new() -> Self {
        Self {
            scheduled_cleanups: VecDeque::new(),
            cleanup_history: Vec::new(),
            last_cleanup_timestamp: None,
        }
    }
}

impl ThermalMonitor {
    fn new(_config: &ThermalPressureResponse) -> Self {
        Self {
            current_temperature_celsius: 25.0,
            thermal_level: ThermalLevel::Normal,
            throttling_active: false,
            thermal_history: VecDeque::new(),
        }
    }
}

impl BatteryMonitor {
    fn new(config: &BatteryPressureResponse) -> Self {
        Self {
            current_level_percent: 100,
            charging_status: ChargingStatus::NotCharging,
            drain_rate_percent_per_hour: 0.0,
            low_battery_threshold: config.battery_thresholds.low_percent,
            critical_battery_threshold: config.battery_thresholds.critical_percent,
        }
    }
}

impl PersistenceManager {
    fn new(_config: &LifecycleConfig) -> Result<Self> {
        Ok(Self {
            state_store: StateStore::new(),
            checkpoint_manager: CheckpointManager::new(),
            backup_scheduler: BackupScheduler::new(),
            recovery_manager: RecoveryManager::new(),
        })
    }

    fn load_state(&mut self) -> Result<()> {
        // Implementation would load persisted state
        Ok(())
    }

    fn create_checkpoint(&mut self) -> Result<()> {
        // Implementation would create state checkpoint
        Ok(())
    }
}

impl StateStore {
    fn new() -> Self {
        Self {
            current_checkpoint: None,
            checkpoint_history: VecDeque::new(),
            storage_path: "/tmp/trustformers_checkpoints".to_string(),
            max_checkpoints: 10,
        }
    }
}

impl CheckpointManager {
    fn new() -> Self {
        Self {
            checkpoint_interval_seconds: 300, // 5 minutes
            last_checkpoint_time: None,
            automatic_checkpoints: true,
            compression_enabled: true,
        }
    }
}

impl BackupScheduler {
    fn new() -> Self {
        Self {
            backup_interval_hours: 24,
            last_backup_time: None,
            backup_location: "/tmp/trustformers_backups".to_string(),
            max_backups: 7, // Keep 1 week of backups
        }
    }
}

impl RecoveryManager {
    fn new() -> Self {
        let mut recovery_strategies = HashMap::new();
        recovery_strategies.insert(RecoveryScenario::AppCrash, RecoveryStrategy::RestartApp);
        recovery_strategies.insert(
            RecoveryScenario::MemoryPressure,
            RecoveryStrategy::ClearCache,
        );
        recovery_strategies.insert(
            RecoveryScenario::CorruptedState,
            RecoveryStrategy::LoadLastCheckpoint,
        );

        Self {
            recovery_strategies,
            recovery_attempts: 0,
            max_recovery_attempts: 3,
            last_recovery_time: None,
        }
    }
}

impl NotificationHandler {
    fn new(config: &LifecycleConfig) -> Self {
        Self {
            notification_queue: VecDeque::new(),
            notification_throttler: NotificationThrottler::new(&config.notifications.throttling),
            delivery_manager: NotificationDeliveryManager::new(
                &config.notifications.background_handling,
            ),
        }
    }
}

impl NotificationThrottler {
    fn new(config: &NotificationThrottling) -> Self {
        Self {
            rate_limits: config.notification_rate_limits.clone(),
            notification_counts: HashMap::new(),
            reset_time: Instant::now() + Duration::from_secs(3600), // 1 hour
        }
    }
}

impl NotificationDeliveryManager {
    fn new(config: &BackgroundNotificationHandling) -> Self {
        Self {
            delivery_strategies: config.delivery_strategies.clone(),
            pending_notifications: VecDeque::new(),
            delivery_stats: NotificationDeliveryStats {
                total_sent: 0,
                successful_deliveries: 0,
                failed_deliveries: 0,
                average_delivery_time_ms: 0.0,
            },
        }
    }
}

impl LifecycleTaskScheduler {
    fn new(_config: &LifecycleConfig) -> Result<Self> {
        Ok(Self {
            task_executor: TaskExecutorImpl::new(),
            execution_context: ExecutionContext::new(),
            system_constraints: SystemConstraints::new(),
        })
    }
}

impl TaskExecutorImpl {
    fn new() -> Self {
        Self {
            max_concurrent_tasks: 3,
            active_tasks: HashMap::new(),
            task_queue: VecDeque::new(),
        }
    }
}

impl ExecutionContext {
    fn new() -> Self {
        Self {
            available_resources: AvailableResources {
                cpu_percent: 100,
                memory_mb: 1024,
                network_mbps: 10.0,
                gpu_percent: Some(100),
                storage_gb: 10.0,
            },
            system_state: SystemState {
                app_state: AppState::Active,
                battery_level: 100,
                thermal_level: ThermalLevel::Normal,
                network_connected: true,
                memory_pressure: MemoryPressureLevel::Normal,
            },
            user_context: UserContext {
                user_present: true,
                last_interaction_time: Some(Instant::now()),
                interaction_frequency: 1.0,
                current_session_duration: Duration::from_secs(300),
            },
        }
    }
}

impl SystemConstraints {
    fn new() -> Self {
        Self {
            max_cpu_usage_percent: 80,
            max_memory_usage_mb: 512,
            max_network_usage_mbps: 5.0,
            thermal_limit: ThermalLevel::Moderate,
            battery_limit: 20,
        }
    }
}

impl SystemMonitors {
    fn new() -> Result<Self> {
        Ok(Self {
            cpu_monitor: CpuMonitor {
                current_usage_percent: 25.0,
                core_count: 4,
                frequency_mhz: 2400.0,
                temperature_celsius: 35.0,
            },
            memory_monitor: MemorySystemMonitor {
                total_memory_mb: 2048,
                available_memory_mb: 1024,
                used_memory_mb: 1024,
                cached_memory_mb: 256,
            },
            network_monitor: NetworkMonitor::new(),
            device_monitor: DeviceMonitor::new()?,
        })
    }

    fn initialize(&mut self) -> Result<()> {
        // Initialize monitoring systems
        Ok(())
    }

    fn start_monitoring(&mut self) -> Result<()> {
        // Start background monitoring tasks
        Ok(())
    }
}

impl NetworkMonitor {
    fn new() -> Self {
        Self {
            connection_type: NetworkConnectionType::WiFi,
            signal_strength: 80,
            bandwidth_mbps: 25.0,
            latency_ms: 20.0,
            data_usage_mb: 0.0,
        }
    }

    fn is_connected(&self) -> bool {
        self.connection_type != NetworkConnectionType::Unknown
    }
}

impl DeviceMonitor {
    fn new() -> Result<Self> {
        let device_info = crate::device_info::MobileDeviceDetector::detect()?;

        Ok(Self {
            performance_tier: device_info.performance_scores.overall_tier,
            thermal_state: ThermalLevel::Normal,
            battery_state: BatteryLevel::High,
            device_info,
        })
    }
}

// Extension trait implementations for BackgroundCoordinator
impl BackgroundCoordinator {
    fn pause_non_essential_tasks(&mut self) -> Result<()> {
        // Implementation would pause non-essential background tasks
        Ok(())
    }

    fn resume_paused_tasks(&mut self) -> Result<()> {
        // Implementation would resume paused tasks
        Ok(())
    }

    fn suspend_all_tasks(&mut self) -> Result<()> {
        // Implementation would suspend all background tasks
        Ok(())
    }

    fn cancel_all_tasks(&mut self) -> Result<()> {
        // Implementation would cancel all background tasks
        Ok(())
    }
}

/// Utility functions for lifecycle management
pub struct LifecycleUtils;

impl LifecycleUtils {
    /// Calculate optimal resource allocation based on system state
    pub fn calculate_optimal_resource_allocation(
        system_state: &SystemState,
        available_resources: &AvailableResources,
    ) -> ResourceAllocation {
        let cpu_allocation = match system_state.battery_level {
            0..=20 => available_resources.cpu_percent.min(30), // Conservative on low battery
            21..=50 => available_resources.cpu_percent.min(60),
            _ => available_resources.cpu_percent.min(80),
        };

        let memory_allocation = match system_state.memory_pressure {
            MemoryPressureLevel::Emergency => available_resources.memory_mb.min(256),
            MemoryPressureLevel::Critical => available_resources.memory_mb.min(512),
            MemoryPressureLevel::Warning => available_resources.memory_mb.min(768),
            MemoryPressureLevel::Normal => available_resources.memory_mb,
        };

        ResourceAllocation {
            allocated_cpu_percent: cpu_allocation,
            allocated_memory_mb: memory_allocation,
            allocated_network_mbps: available_resources.network_mbps.min(5.0),
            allocated_gpu_percent: available_resources.gpu_percent.map(|gpu| gpu.min(70)),
            available_resources: available_resources.clone(),
        }
    }

    /// Predict optimal background task scheduling time
    pub fn predict_optimal_scheduling_time(
        task: &BackgroundTask,
        system_state: &SystemState,
        user_context: &UserContext,
    ) -> Instant {
        let base_delay = match task.scheduling_strategy {
            SchedulingStrategy::Immediate => Duration::from_secs(0),
            SchedulingStrategy::UserIdle => {
                if user_context.user_present {
                    Duration::from_secs(300) // Wait 5 minutes for user idle
                } else {
                    Duration::from_secs(10) // User not present, shorter delay
                }
            },
            SchedulingStrategy::BatteryOptimal => {
                if system_state.battery_level < 30 {
                    Duration::from_secs(3600) // Wait 1 hour on low battery
                } else {
                    Duration::from_secs(60)
                }
            },
            SchedulingStrategy::NetworkOptimal => {
                if system_state.network_connected {
                    Duration::from_secs(30)
                } else {
                    Duration::from_secs(300) // Wait for network
                }
            },
            SchedulingStrategy::ThermalOptimal => match system_state.thermal_level {
                ThermalLevel::Normal => Duration::from_secs(30),
                ThermalLevel::Light => Duration::from_secs(120),
                ThermalLevel::Moderate => Duration::from_secs(300),
                ThermalLevel::Heavy => Duration::from_secs(900),
                ThermalLevel::Emergency => Duration::from_secs(1800),
            },
            _ => Duration::from_secs(60),
        };

        Instant::now() + base_delay
    }

    /// Estimate task completion time based on system conditions
    pub fn estimate_task_completion_time(
        task: &BackgroundTask,
        system_state: &SystemState,
        available_resources: &AvailableResources,
    ) -> Duration {
        let base_time =
            Duration::from_secs(task.resource_requirements.estimated_execution_time_seconds);

        // Adjust based on available resources
        let cpu_factor =
            if available_resources.cpu_percent < task.resource_requirements.min_cpu_percent {
                2.0 // Slower execution if not enough CPU
            } else {
                1.0
            };

        let memory_factor =
            if available_resources.memory_mb < task.resource_requirements.min_memory_mb {
                1.5 // Slower execution if not enough memory
            } else {
                1.0
            };

        let thermal_factor = match system_state.thermal_level {
            ThermalLevel::Normal => 1.0,
            ThermalLevel::Light => 1.2,
            ThermalLevel::Moderate => 1.5,
            ThermalLevel::Heavy => 2.0,
            ThermalLevel::Emergency => 3.0,
        };

        let adjusted_seconds =
            base_time.as_secs_f64() * cpu_factor * memory_factor * thermal_factor;
        Duration::from_secs(adjusted_seconds as u64)
    }

    /// Generate system health report
    pub fn generate_system_health_report(
        system_monitors: &SystemMonitors,
        lifecycle_stats: &LifecycleStats,
    ) -> SystemHealthReport {
        let cpu_health = 100.0 - system_monitors.cpu_monitor.current_usage_percent;
        let memory_health = (system_monitors.memory_monitor.available_memory_mb as f32
            / system_monitors.memory_monitor.total_memory_mb as f32)
            * 100.0;

        let overall_health = (cpu_health + memory_health) / 2.0;

        let health_status = match overall_health {
            90.0..=100.0 => HealthStatus::Excellent,
            70.0..89.9 => HealthStatus::Good,
            50.0..69.9 => HealthStatus::Fair,
            30.0..49.9 => HealthStatus::Poor,
            _ => HealthStatus::Critical,
        };

        SystemHealthReport {
            overall_health_score: overall_health,
            health_status,
            cpu_health_score: cpu_health,
            memory_health_score: memory_health,
            battery_health_score: system_monitors.device_monitor.battery_state.to_health_score(),
            thermal_health_score: system_monitors.device_monitor.thermal_state.to_health_score(),
            network_health_score: 100.0, // Simplified
            error_rate: lifecycle_stats.error_stats.error_rate_per_hour,
            uptime_hours: lifecycle_stats.get_collection_period_hours(),
            recommendations: Self::generate_health_recommendations(overall_health, system_monitors),
        }
    }

    fn generate_health_recommendations(
        health_score: f32,
        system_monitors: &SystemMonitors,
    ) -> Vec<String> {
        let mut recommendations = Vec::new();

        if system_monitors.cpu_monitor.current_usage_percent > 80.0 {
            recommendations
                .push("High CPU usage detected. Consider reducing background tasks.".to_string());
        }

        if system_monitors.memory_monitor.available_memory_mb < 256 {
            recommendations
                .push("Low memory available. Enable aggressive memory cleanup.".to_string());
        }

        if health_score < 50.0 {
            recommendations
                .push("System health is poor. Consider restarting the application.".to_string());
        }

        recommendations
    }
}

/// System health report
#[derive(Debug, Clone)]
pub struct SystemHealthReport {
    pub overall_health_score: f32,
    pub health_status: HealthStatus,
    pub cpu_health_score: f32,
    pub memory_health_score: f32,
    pub battery_health_score: f32,
    pub thermal_health_score: f32,
    pub network_health_score: f32,
    pub error_rate: f32,
    pub uptime_hours: f32,
    pub recommendations: Vec<String>,
}

/// Health status levels
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum HealthStatus {
    Excellent,
    Good,
    Fair,
    Poor,
    Critical,
}

// Extension traits for health score conversion
trait ToHealthScore {
    fn to_health_score(&self) -> f32;
}

impl ToHealthScore for BatteryLevel {
    fn to_health_score(&self) -> f32 {
        match self {
            BatteryLevel::Critical => 10.0,
            BatteryLevel::Low => 30.0,
            BatteryLevel::Medium => 50.0,
            BatteryLevel::High => 80.0,
            BatteryLevel::Full => 100.0,
            BatteryLevel::Charging => 85.0,
        }
    }
}

impl ToHealthScore for ThermalLevel {
    fn to_health_score(&self) -> f32 {
        match self {
            ThermalLevel::Normal => 100.0,
            ThermalLevel::Light => 80.0,
            ThermalLevel::Moderate => 60.0,
            ThermalLevel::Heavy => 40.0,
            ThermalLevel::Emergency => 20.0,
        }
    }
}