quantrs2-tytan 0.1.3

//! Resource allocation types for Real-time Quantum Computing Integration
//!
//! This module provides resource allocation and management types.

use serde::{Deserialize, Serialize};
use std::collections::{HashMap, VecDeque};
use std::time::{Duration, SystemTime};

use super::config::RealtimeConfig;
use super::types::{JobPriority, PatternType, ResourceConstraint, ResourceType, Trend};

/// Dynamic resource allocator
#[allow(dead_code)]
pub struct ResourceAllocator {
    /// Available resources
    pub(crate) available_resources: HashMap<String, ResourceInfo>,
    /// Resource allocation map
    pub(crate) allocation_map: HashMap<String, AllocationInfo>,
    /// Allocation strategy
    pub(crate) strategy: super::types::AllocationStrategy,
    /// Allocation history
    pub(crate) allocation_history: VecDeque<AllocationEvent>,
    /// Predictor for resource needs
    pub(crate) resource_predictor: ResourcePredictor,
}

impl ResourceAllocator {
    pub fn new(config: &RealtimeConfig) -> Self {
        Self {
            available_resources: HashMap::new(),
            allocation_map: HashMap::new(),
            strategy: config.allocation_strategy.clone(),
            allocation_history: VecDeque::new(),
            resource_predictor: ResourcePredictor::new(),
        }
    }

    pub fn allocate_resources(
        &mut self,
        job_id: &str,
        _requirements: super::queue::ResourceRequirements,
    ) -> Result<Vec<String>, String> {
        // Simplified resource allocation
        let allocated_resources = vec!["resource_1".to_string(), "resource_2".to_string()];

        let allocation = AllocationInfo {
            job_id: job_id.to_string(),
            allocated_resources: allocated_resources.clone(),
            allocation_time: SystemTime::now(),
            expected_completion: SystemTime::now() + Duration::from_secs(3600),
            priority: JobPriority::Normal,
            resource_usage: ResourceUsage {
                cpu_usage: 0.5,
                memory_usage: 0.3,
                network_usage: 0.1,
                custom_usage: HashMap::new(),
            },
        };

        self.allocation_map.insert(job_id.to_string(), allocation);

        Ok(allocated_resources)
    }
}

/// Resource information
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceInfo {
    /// Resource ID
    pub resource_id: String,
    /// Resource type
    pub resource_type: ResourceType,
    /// Total capacity
    pub total_capacity: ResourceCapacity,
    /// Available capacity
    pub available_capacity: ResourceCapacity,
    /// Current utilization
    pub current_utilization: f64,
    /// Performance characteristics
    pub performance_characteristics: PerformanceCharacteristics,
    /// Constraints
    pub constraints: Vec<ResourceConstraint>,
}

/// Resource capacity specification
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceCapacity {
    /// Compute units
    pub compute_units: f64,
    /// Memory (in GB)
    pub memory_gb: f64,
    /// Storage (in GB)
    pub storage_gb: f64,
    /// Network bandwidth (in Mbps)
    pub network_mbps: f64,
    /// Custom metrics
    pub custom_metrics: HashMap<String, f64>,
}

/// Performance characteristics of a resource
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceCharacteristics {
    /// Processing speed
    pub processing_speed: f64,
    /// Latency
    pub latency: Duration,
    /// Reliability score
    pub reliability_score: f64,
    /// Energy efficiency
    pub energy_efficiency: f64,
    /// Scalability factor
    pub scalability_factor: f64,
}

/// Allocation information for a job
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AllocationInfo {
    /// Job ID
    pub job_id: String,
    /// Allocated resources
    pub allocated_resources: Vec<String>,
    /// Allocation timestamp
    pub allocation_time: SystemTime,
    /// Expected completion time
    pub expected_completion: SystemTime,
    /// Priority
    pub priority: JobPriority,
    /// Resource usage
    pub resource_usage: ResourceUsage,
}

/// Resource usage metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceUsage {
    /// CPU usage
    pub cpu_usage: f64,
    /// Memory usage
    pub memory_usage: f64,
    /// Network usage
    pub network_usage: f64,
    /// Custom usage metrics
    pub custom_usage: HashMap<String, f64>,
}

/// Allocation event for tracking
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AllocationEvent {
    /// Event timestamp
    pub timestamp: SystemTime,
    /// Event type
    pub event_type: AllocationEventType,
    /// Job ID
    pub job_id: String,
    /// Resources involved
    pub resources: Vec<String>,
    /// Metadata
    pub metadata: HashMap<String, String>,
}

/// Types of allocation events
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AllocationEventType {
    Allocated,
    Deallocated,
    Modified,
    Failed,
    Preempted,
}

/// Resource predictor for forecasting needs
#[derive(Debug, Clone)]
pub struct ResourcePredictor {
    /// Historical usage patterns
    pub(crate) usage_patterns: HashMap<String, UsagePattern>,
    /// Prediction models
    pub(crate) prediction_models: HashMap<String, PredictionModel>,
    /// Forecast horizon
    pub(crate) forecast_horizon: Duration,
}

impl Default for ResourcePredictor {
    fn default() -> Self {
        Self::new()
    }
}

impl ResourcePredictor {
    pub fn new() -> Self {
        Self {
            usage_patterns: HashMap::new(),
            prediction_models: HashMap::new(),
            forecast_horizon: Duration::from_secs(3600),
        }
    }
}

/// Usage pattern for prediction
#[derive(Debug, Clone)]
pub struct UsagePattern {
    /// Pattern name
    pub pattern_name: String,
    /// Historical data points
    pub data_points: VecDeque<(SystemTime, f64)>,
    /// Pattern type
    pub pattern_type: PatternType,
    /// Seasonality
    pub seasonality: Option<Duration>,
    /// Trend
    pub trend: Trend,
}

/// Prediction model
#[derive(Debug, Clone)]
pub struct PredictionModel {
    /// Model name
    pub model_name: String,
    /// Model parameters
    pub parameters: HashMap<String, f64>,
    /// Prediction accuracy
    pub accuracy: f64,
    /// Last training time
    pub last_training: SystemTime,
}