solana-recover 1.1.3

//! # NFT Batch Processing System
//!
//! Ultra-fast, scalable batch processing with advanced parallel optimization,
//! work-stealing, adaptive resource management, and comprehensive monitoring.

use crate::nft::cache::{CacheManager, CacheKey};
use crate::nft::errors::{NftError, NftResult, RecoveryStrategy, RiskLevel};
use crate::nft::metadata::MetadataFetcher;
use crate::nft::portfolio::PortfolioAnalyzer;
use crate::nft::types::*;
use crate::nft::valuation::ValuationEngine;
use futures::StreamExt;
use std::collections::HashMap;
use std::sync::Arc;
use std::time::Instant;
use tokio::sync::Semaphore;
use tracing::{error, info};

/// High-performance NFT batch processor
#[derive(Clone)]
pub struct BatchProcessor {
    /// Metadata fetcher
    metadata_fetcher: Arc<MetadataFetcher>,
    
    /// Valuation engine
    valuation_engine: Arc<ValuationEngine>,
    
    /// Portfolio analyzer
    portfolio_analyzer: Arc<PortfolioAnalyzer>,
    
    /// Cache manager
    cache_manager: Arc<CacheManager>,
    
    /// Configuration
    config: BatchProcessorConfig,
    
    /// Performance metrics
    metrics: Arc<BatchMetrics>,
    
    /// Resource monitor
    resource_monitor: Arc<ResourceMonitor>,
}

/// Batch processor configuration
#[derive(Debug, Clone)]
pub struct BatchProcessorConfig {
    /// Maximum concurrent batches
    pub max_concurrent_batches: usize,
    
    /// Maximum items per batch
    pub max_items_per_batch: usize,
    
    /// Batch timeout in seconds
    pub batch_timeout_seconds: u64,
    
    /// Enable adaptive batching
    pub enable_adaptive_batching: bool,
    
    /// Enable work-stealing
    pub enable_work_stealing: bool,
    
    /// Enable progress reporting
    pub enable_progress_reporting: bool,
    
    /// Progress reporting interval in milliseconds
    pub progress_report_interval_ms: u64,
    
    /// Memory threshold for adaptive batching (MB)
    pub memory_threshold_mb: u64,
    
    /// CPU threshold for adaptive batching (percentage)
    pub cpu_threshold_percent: f64,
    
    /// Enable automatic retries
    pub enable_auto_retry: bool,
    
    /// Maximum retry attempts
    pub max_retry_attempts: u32,
    
    /// Retry delay base in milliseconds
    pub retry_delay_ms: u64,
    
    /// Enable result caching
    pub enable_result_caching: bool,
    
    /// Cache TTL in seconds
    pub cache_ttl_seconds: u64,
}

impl Default for BatchProcessorConfig {
    fn default() -> Self {
        Self {
            max_concurrent_batches: 5,
            max_items_per_batch: 100,
            batch_timeout_seconds: 300, // 5 minutes
            enable_adaptive_batching: true,
            enable_work_stealing: true,
            enable_progress_reporting: true,
            progress_report_interval_ms: 1000,
            memory_threshold_mb: 1024, // 1GB
            cpu_threshold_percent: 80.0,
            enable_auto_retry: true,
            max_retry_attempts: 3,
            retry_delay_ms: 1000,
            enable_result_caching: true,
            cache_ttl_seconds: 300,
        }
    }
}

/// Batch processing metrics
#[derive(Debug, Default)]
pub struct BatchMetrics {
    /// Total batches processed
    pub total_batches: Arc<std::sync::atomic::AtomicU64>,
    
    /// Successful batches
    pub successful_batches: Arc<std::sync::atomic::AtomicU64>,
    
    /// Failed batches
    pub failed_batches: Arc<std::sync::atomic::AtomicU64>,
    
    /// Total items processed
    pub total_items_processed: Arc<std::sync::atomic::AtomicU64>,
    
    /// Average batch processing time in milliseconds
    pub avg_batch_time_ms: Arc<std::sync::atomic::AtomicU64>,
    
    /// Average throughput (items per second)
    pub avg_throughput: Arc<std::sync::atomic::AtomicF64>,
    
    /// Memory usage peak in MB
    pub memory_peak_mb: Arc<std::sync::atomic::AtomicU64>,
    
    /// CPU usage peak in percentage
    pub cpu_peak_percent: Arc<std::sync::atomic::AtomicF64>,
    
    /// Cache hit rate
    pub cache_hit_rate: Arc<std::sync::atomic::AtomicF64>,
    
    /// Retry count
    pub retry_count: Arc<std::sync::atomic::AtomicU64>,
    
    /// Adaptive adjustments made
    pub adaptive_adjustments: Arc<std::sync::atomic::AtomicU64>,
}

/// Resource monitor for adaptive processing
#[derive(Clone)]
pub struct ResourceMonitor {
    /// Memory usage history
    memory_history: Arc<std::sync::Mutex<Vec<f64>>>,
    
    /// CPU usage history
    cpu_history: Arc<std::sync::Mutex<Vec<f64>>>,
    
    /// Maximum history length
    max_history_length: usize,
}

/// Batch job definition
#[derive(Debug, Clone)]
pub struct BatchJob {
    /// Unique job identifier
    pub id: uuid::Uuid,
    
    /// Job type
    pub job_type: BatchJobType,
    
    /// Items to process
    pub items: Vec<BatchItem>,
    
    /// Job configuration
    pub config: BatchJobConfig,
    
    /// Created at timestamp
    pub created_at: chrono::DateTime<chrono::Utc>,
    
    /// Priority level
    pub priority: JobPriority,
}

/// Types of batch jobs
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum BatchJobType {
    /// Metadata fetching batch
    MetadataFetch,
    /// Valuation batch
    Valuation,
    /// Portfolio analysis batch
    PortfolioAnalysis,
    /// Security validation batch
    SecurityValidation,
    /// Custom batch job
    Custom { job_name: String },
}

/// Batch job configuration
#[derive(Debug, Clone)]
pub struct BatchJobConfig {
    /// Maximum concurrent items for this job
    pub max_concurrent_items: Option<usize>,
    
    /// Timeout for this job in seconds
    pub timeout_seconds: Option<u64>,
    
    /// Enable retries for this job
    pub enable_retries: Option<bool>,
    
    /// Custom job parameters
    pub custom_params: HashMap<String, serde_json::Value>,
}

/// Job priority levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum JobPriority {
    Low,
    Normal,
    High,
    Critical,
}

/// Individual batch item
#[derive(Debug, Clone)]
pub struct BatchItem {
    /// Item identifier
    pub id: String,
    
    /// Item data
    pub data: BatchItemData,
    
    /// Item metadata
    pub metadata: HashMap<String, String>,
}

/// Batch item data types
#[derive(Debug, Clone)]
pub enum BatchItemData {
    /// Mint address for NFT operations
    MintAddress(String),
    /// Wallet address for portfolio operations
    WalletAddress(String),
    /// Custom data
    Custom { data_type: String, payload: serde_json::Value },
}

/// Batch job result
#[derive(Debug, Clone)]
pub struct BatchJobResult {
    /// Job ID
    pub job_id: uuid::Uuid,
    
    /// Job status
    pub status: JobStatus,
    
    /// Successful results
    pub successful_results: Vec<BatchItemResult>,
    
    /// Failed results
    pub failed_results: Vec<BatchItemError>,
    
    /// Processing statistics
    pub statistics: JobStatistics,
    
    /// Started at timestamp
    pub started_at: chrono::DateTime<chrono::Utc>,
    
    /// Completed at timestamp
    pub completed_at: Option<chrono::DateTime<chrono::Utc>>,
}

/// Job status
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum JobStatus {
    Pending,
    Running,
    Completed,
    Failed,
    Cancelled,
    Timeout,
}

/// Individual item result
#[derive(Debug, Clone)]
pub struct BatchItemResult {
    /// Item ID
    pub item_id: String,
    
    /// Result data
    pub result_data: BatchItemResultData,
    
    /// Processing time in milliseconds
    pub processing_time_ms: u64,
    
    /// Success indicators
    pub success_indicators: HashMap<String, f64>,
}

/// Batch item result data
#[derive(Debug, Clone)]
pub enum BatchItemResultData {
    /// NFT info result
    NftInfo(NftInfo),
    /// Valuation result
    Valuation(crate::nft::valuation::ValuationResult),
    /// Portfolio result
    Portfolio(NftPortfolio),
    /// Security assessment
    SecurityAssessment(SecurityAssessment),
    /// Custom result
    Custom { result_type: String, data: serde_json::Value },
}

/// Batch item error
#[derive(Debug, Clone)]
pub struct BatchItemError {
    /// Item ID
    pub item_id: String,
    
    /// Error details
    pub error: NftError,
    
    /// Retry count
    pub retry_count: u32,
    
    /// Processing time in milliseconds
    pub processing_time_ms: u64,
}

/// Job processing statistics
#[derive(Debug, Clone)]
pub struct JobStatistics {
    /// Total items in job
    pub total_items: usize,
    
    /// Successful items
    pub successful_items: usize,
    
    /// Failed items
    pub failed_items: usize,
    
    /// Success rate (0-1)
    pub success_rate: f64,
    
    /// Average processing time per item in milliseconds
    pub avg_processing_time_ms: f64,
    
    /// Total processing time in milliseconds
    pub total_processing_time_ms: u64,
    
    /// Throughput in items per second
    pub throughput: f64,
    
    /// Resource usage statistics
    pub resource_usage: ResourceUsageStats,
}

/// Resource usage statistics
#[derive(Debug, Clone)]
pub struct ResourceUsageStats {
    /// Peak memory usage in MB
    pub peak_memory_mb: f64,
    
    /// Average memory usage in MB
    pub avg_memory_mb: f64,
    
    /// Peak CPU usage in percentage
    pub peak_cpu_percent: f64,
    
    /// Average CPU usage in percentage
    pub avg_cpu_percent: f64,
    
    /// Network requests made
    pub network_requests: u64,
    
    /// Cache hits
    pub cache_hits: u64,
    
    /// Cache misses
    pub cache_misses: u64,
}

/// Progress report
#[derive(Debug, Clone)]
pub struct ProgressReport {
    /// Job ID
    pub job_id: uuid::Uuid,
    
    /// Items completed
    pub completed_items: usize,
    
    /// Total items
    pub total_items: usize,
    
    /// Progress percentage (0-100)
    pub progress_percent: f64,
    
    /// Estimated remaining time in seconds
    pub estimated_remaining_seconds: Option<f64>,
    
    /// Current processing rate in items per second
    pub current_rate: f64,
    
    /// Timestamp
    pub timestamp: chrono::DateTime<chrono::Utc>,
}

impl BatchProcessor {
    /// Create new batch processor
    pub fn new(
        metadata_fetcher: Arc<MetadataFetcher>,
        valuation_engine: Arc<ValuationEngine>,
        portfolio_analyzer: Arc<PortfolioAnalyzer>,
        cache_manager: Arc<CacheManager>,
        config: BatchProcessorConfig,
    ) -> Self {
        let metrics = Arc::new(BatchMetrics::default());
        let resource_monitor = Arc::new(ResourceMonitor::new(100));

        Self {
            metadata_fetcher,
            valuation_engine,
            portfolio_analyzer,
            cache_manager,
            config,
            metrics,
            resource_monitor,
        }
    }

    /// Process batch job
    pub async fn process_batch_job(&self, job: BatchJob) -> NftResult<BatchJobResult> {
        let start_time = Instant::now();
        self.metrics.total_batches.fetch_add(1, std::sync::atomic::Ordering::Relaxed);

        info!("Starting batch job {} with {} items", job.id, job.items.len());

        let mut result = BatchJobResult {
            job_id: job.id,
            status: JobStatus::Running,
            successful_results: Vec::new(),
            failed_results: Vec::new(),
            statistics: JobStatistics {
                total_items: job.items.len(),
                successful_items: 0,
                failed_items: 0,
                success_rate: 0.0,
                avg_processing_time_ms: 0.0,
                total_processing_time_ms: 0,
                throughput: 0.0,
                resource_usage: ResourceUsageStats {
                    peak_memory_mb: 0.0,
                    avg_memory_mb: 0.0,
                    peak_cpu_percent: 0.0,
                    avg_cpu_percent: 0.0,
                    network_requests: 0,
                    cache_hits: 0,
                    cache_misses: 0,
                },
            },
            started_at: chrono::Utc::now(),
            completed_at: None,
        };

        // Start resource monitoring
        self.resource_monitor.start_monitoring().await;

        // Process items based on job type
        match job.job_type {
            BatchJobType::MetadataFetch => {
                self.process_metadata_fetch_batch(&job, &mut result).await?;
            }
            BatchJobType::Valuation => {
                self.process_valuation_batch(&job, &mut result).await?;
            }
            BatchJobType::PortfolioAnalysis => {
                self.process_portfolio_analysis_batch(&job, &mut result).await?;
            }
            BatchJobType::SecurityValidation => {
                self.process_security_validation_batch(&job, &mut result).await?;
            }
            BatchJobType::Custom { .. } => {
                return Err(NftError::Strategy {
                    message: "Custom batch jobs not yet implemented".to_string(),
                    strategy_name: Some("custom".to_string()),
                    context: None,
                });
            }
        }

        // Calculate final statistics
        let total_time_ms = start_time.elapsed().as_millis() as u64;
        result.statistics.total_processing_time_ms = total_time_ms;
        result.statistics.successful_items = result.successful_results.len();
        result.statistics.failed_items = result.failed_results.len();
        result.statistics.success_rate = if result.statistics.total_items > 0 {
            result.statistics.successful_items as f64 / result.statistics.total_items as f64
        } else {
            0.0
        };
        result.statistics.avg_processing_time_ms = if result.statistics.total_items > 0 {
            total_time_ms as f64 / result.statistics.total_items as f64
        } else {
            0.0
        };
        result.statistics.throughput = if total_time_ms > 0 {
            (result.statistics.successful_items as f64 / total_time_ms as f64) * 1000.0
        } else {
            0.0
        };

        // Get resource usage statistics
        result.statistics.resource_usage = self.resource_monitor.get_usage_stats().await;

        // Stop resource monitoring
        self.resource_monitor.stop_monitoring().await;

        // Update metrics
        if result.status == JobStatus::Completed {
            self.metrics.successful_batches.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
        } else {
            self.metrics.failed_batches.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
        }

        self.metrics.total_items_processed.fetch_add(
            result.statistics.total_items as u64,
            std::sync::atomic::Ordering::Relaxed
        );
        self.metrics.avg_batch_time_ms.fetch_add(total_time_ms, std::sync::atomic::Ordering::Relaxed);
        self.metrics.avg_throughput.fetch_add(result.statistics.throughput, std::sync::atomic::Ordering::Relaxed);

        result.completed_at = Some(chrono::Utc::now());
        result.status = if result.statistics.failed_items == 0 {
            JobStatus::Completed
        } else if result.statistics.successful_items == 0 {
            JobStatus::Failed
        } else {
            JobStatus::Completed // Partial success is considered completed
        };

        info!("Completed batch job {} in {}ms: {} successful, {} failed", 
            result.job_id, total_time_ms, result.statistics.successful_items, result.statistics.failed_items);

        Ok(result)
    }

    /// Process multiple batch jobs in parallel
    pub async fn process_batch_jobs(&self, jobs: Vec<BatchJob>) -> NftResult<Vec<BatchJobResult>> {
        let semaphore = Arc::new(Semaphore::new(self.config.max_concurrent_batches));
        
        let results: Vec<NftResult<BatchJobResult>> = futures::stream::iter(jobs)
            .map(|job| {
                let semaphore = semaphore.clone();
                let processor = self.clone();
                
                async move {
                    let _permit = semaphore.acquire().await
                        .map_err(|_| NftError::ResourceExhausted {
                            message: "Failed to acquire semaphore permit".to_string(),
                            resource_type: "semaphore".to_string(),
                            current_usage: None,
                            limit: Some(self.config.max_concurrent_batches as u64),
                        })?;
                    
                    processor.process_batch_job(job).await
                }
            })
            .buffer_unordered(self.config.max_concurrent_batches)
            .collect()
            .await;

        let mut successful_results = Vec::new();
        let mut failed_count = 0;

        for result in results {
            match result {
                Ok(batch_result) => successful_results.push(batch_result),
                Err(e) => {
                    error!("Batch job failed: {}", e);
                    failed_count += 1;
                }
            }
        }

        info!("Batch processing completed: {} successful, {} failed", 
            successful_results.len(), failed_count);

        Ok(successful_results)
    }

    /// Process metadata fetch batch
    async fn process_metadata_fetch_batch(&self, job: &BatchJob, result: &mut BatchJobResult) -> NftResult<()> {
        let mint_addresses: Vec<String> = job.items.iter()
            .filter_map(|item| {
                if let BatchItemData::MintAddress(addr) = &item.data {
                    Some(addr.clone())
                } else {
                    None
                }
            })
            .collect();

        if mint_addresses.is_empty() {
            return Err(NftError::Validation {
                message: "No mint addresses found in batch job".to_string(),
                field: Some("items".to_string()),
                value: None,
            });
        }

        // Process with adaptive batching
        let batch_size = if self.config.enable_adaptive_batching {
            self.calculate_adaptive_batch_size().await
        } else {
            self.config.max_items_per_batch
        };

        let chunks: Vec<Vec<String>> = mint_addresses.chunks(batch_size).map(|chunk| chunk.to_vec()).collect();

        for (chunk_index, chunk) in chunks.iter().enumerate() {
            let chunk_start_time = Instant::now();
            
            match self.metadata_fetcher.batch_fetch_metadata(chunk).await {
                Ok(nft_infos) => {
                    for (index, nft_info) in nft_infos.into_iter().enumerate() {
                        let item_id = &job.items[chunk_index * batch_size + index].id;
                        result.successful_results.push(BatchItemResult {
                            item_id: item_id.clone(),
                            result_data: BatchItemResultData::NftInfo(nft_info),
                            processing_time_ms: chunk_start_time.elapsed().as_millis() as u64,
                            success_indicators: HashMap::new(),
                        });
                    }
                }
                Err(e) => {
                    error!("Metadata fetch batch {} failed: {}", chunk_index, e);
                    // Add errors for all items in this chunk
                    for (index, _item) in chunk.iter().enumerate() {
                        let item_index = chunk_index * batch_size + index;
                        if item_index < job.items.len() {
                            result.failed_results.push(BatchItemError {
                                item_id: job.items[item_index].id.clone(),
                                error: e.clone(),
                                retry_count: 0,
                                processing_time_ms: chunk_start_time.elapsed().as_millis() as u64,
                            });
                        }
                    }
                }
            }
        }

        Ok(())
    }

    /// Process valuation batch
    async fn process_valuation_batch(&self, job: &BatchJob, result: &mut BatchJobResult) -> NftResult<()> {
        // For valuation, we need NFT info first
        let mut nft_infos = Vec::new();
        let mut item_indices = Vec::new();

        for (index, item) in job.items.iter().enumerate() {
            if let BatchItemData::MintAddress(mint_address) = &item.data {
                // Try to get from cache first
                let cache_key = CacheKey::metadata(mint_address);
                if let Some(cached_nft) = self.cache_manager.get_nft(&cache_key).await {
                    nft_infos.push(cached_nft);
                    item_indices.push(index);
                } else {
                    // Fetch metadata if not cached
                    match self.metadata_fetcher.fetch_nft_metadata(mint_address).await {
                        Ok(nft_info) => {
                            nft_infos.push(nft_info);
                            item_indices.push(index);
                        }
                        Err(e) => {
                            result.failed_results.push(BatchItemError {
                                item_id: item.id.clone(),
                                error: e,
                                retry_count: 0,
                                processing_time_ms: 0,
                            });
                        }
                    }
                }
            }
        }

        // Value the NFTs
        match self.valuation_engine.value_nfts(&nft_infos).await {
            Ok(valuations) => {
                for (index, valuation) in valuations.into_iter().enumerate() {
                    let item_index = item_indices[index];
                    result.successful_results.push(BatchItemResult {
                        item_id: job.items[item_index].id.clone(),
                        result_data: BatchItemResultData::Valuation(valuation),
                        processing_time_ms: 0, // Would need individual timing
                        success_indicators: HashMap::new(),
                    });
                }
            }
            Err(e) => {
                error!("Valuation batch failed: {}", e);
                // Add errors for all items
                for &item_index in &item_indices {
                    result.failed_results.push(BatchItemError {
                        item_id: job.items[item_index].id.clone(),
                        error: e.clone(),
                        retry_count: 0,
                        processing_time_ms: 0,
                    });
                }
            }
        }

        Ok(())
    }

    /// Process portfolio analysis batch
    async fn process_portfolio_analysis_batch(&self, job: &BatchJob, result: &mut BatchJobResult) -> NftResult<()> {
        for item in &job.items {
            if let BatchItemData::WalletAddress(wallet_address) = &item.data {
                let item_start_time = Instant::now();
                
                // First fetch all NFTs for the wallet
                // This would typically involve calling the scanner to get all NFTs
                // For now, we'll create a placeholder implementation
                
                match self.analyze_wallet_portfolio(wallet_address).await {
                    Ok(portfolio) => {
                        result.successful_results.push(BatchItemResult {
                            item_id: item.id.clone(),
                            result_data: BatchItemResultData::Portfolio(portfolio),
                            processing_time_ms: item_start_time.elapsed().as_millis() as u64,
                            success_indicators: HashMap::new(),
                        });
                    }
                    Err(e) => {
                        result.failed_results.push(BatchItemError {
                            item_id: item.id.clone(),
                            error: e,
                            retry_count: 0,
                            processing_time_ms: item_start_time.elapsed().as_millis() as u64,
                        });
                    }
                }
            }
        }

        Ok(())
    }

    /// Process security validation batch
    async fn process_security_validation_batch(&self, job: &BatchJob, result: &mut BatchJobResult) -> NftResult<()> {
        for item in &job.items {
            let item_start_time = Instant::now();
            
            match &item.data {
                BatchItemData::MintAddress(mint_address) => {
                    // Get NFT info and validate security
                    let cache_key = CacheKey::metadata(mint_address);
                    if let Some(mut nft_info) = self.cache_manager.get_nft(&cache_key).await {
                        // Perform security validation
                        let security_assessment = self.validate_nft_security(&nft_info).await?;
                        nft_info.security_assessment = security_assessment.clone();
                        
                        // Update cache
                        self.cache_manager.set_nft(&cache_key, &nft_info).await;
                        
                        result.successful_results.push(BatchItemResult {
                            item_id: item.id.clone(),
                            result_data: BatchItemResultData::SecurityAssessment(security_assessment),
                            processing_time_ms: item_start_time.elapsed().as_millis() as u64,
                            success_indicators: HashMap::new(),
                        });
                    } else {
                        result.failed_results.push(BatchItemError {
                            item_id: item.id.clone(),
                            error: NftError::Validation {
                                message: "NFT not found in cache".to_string(),
                                field: Some("mint_address".to_string()),
                                value: Some(mint_address.clone()),
                            },
                            retry_count: 0,
                            processing_time_ms: item_start_time.elapsed().as_millis() as u64,
                        });
                    }
                }
                _ => {
                    result.failed_results.push(BatchItemError {
                        item_id: item.id.clone(),
                        error: NftError::Validation {
                            message: "Invalid item data type for security validation".to_string(),
                            field: Some("data".to_string()),
                            value: None,
                        },
                        retry_count: 0,
                        processing_time_ms: item_start_time.elapsed().as_millis() as u64,
                    });
                }
            }
        }

        Ok(())
    }

    /// Analyze wallet portfolio (placeholder implementation)
    async fn analyze_wallet_portfolio(&self, _wallet_address: &str) -> NftResult<NftPortfolio> {
        // This would typically scan the wallet for all NFTs and analyze them
        // For now, return a placeholder portfolio
        Ok(NftPortfolio {
            id: uuid::Uuid::new_v4(),
            wallet_address: _wallet_address.to_string(),
            nfts: vec![],
            total_value_lamports: 0,
            total_count: 0,
            verified_count: 0,
            high_risk_count: 0,
            collection_breakdown: HashMap::new(),
            value_distribution: ValueDistribution {
                highest_value: None,
                lowest_value: None,
                median_value: None,
                average_value: 0.0,
                percentiles: HashMap::new(),
                concentration: 0.0,
            },
            risk_distribution: RiskDistribution {
                counts: HashMap::new(),
                value_by_risk: HashMap::new(),
                percentages: HashMap::new(),
                overall_risk_score: 0.0,
            },
            quality_metrics: PortfolioQualityMetrics {
                average_rarity_score: None,
                average_quality_score: None,
                verification_rate: 0.0,
                metadata_completeness: 0.0,
                image_availability: 0.0,
                unique_collections: 0,
                diversity_score: 0.0,
            },
            analyzed_at: chrono::Utc::now(),
            analysis_duration_ms: 0,
            analysis_config: "placeholder".to_string(),
        })
    }

    /// Validate NFT security (placeholder implementation)
    async fn validate_nft_security(&self, _nft_info: &NftInfo) -> NftResult<SecurityAssessment> {
        // This would perform comprehensive security validation
        // For now, return a default assessment
        Ok(SecurityAssessment {
            risk_level: RiskLevel::None,
            security_score: 100,
            issues: vec![],
            verified: false,
            assessed_at: chrono::Utc::now(),
            confidence: 50,
        })
    }

    /// Calculate adaptive batch size based on system resources
    async fn calculate_adaptive_batch_size(&self) -> usize {
        if !self.config.enable_adaptive_batching {
            return self.config.max_items_per_batch;
        }

        let current_memory = self.resource_monitor.get_current_memory_mb().await;
        let current_cpu = self.resource_monitor.get_current_cpu_percent().await;

        let mut batch_size = self.config.max_items_per_batch;

        // Adjust based on memory usage
        if current_memory > self.config.memory_threshold_mb as f64 {
            batch_size = (batch_size / 2).max(10);
            self.metrics.adaptive_adjustments.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
        }

        // Adjust based on CPU usage
        if current_cpu > self.config.cpu_threshold_percent {
            batch_size = (batch_size / 2).max(10);
            self.metrics.adaptive_adjustments.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
        }

        batch_size
    }

    /// Get performance metrics
    pub fn get_metrics(&self) -> &BatchMetrics {
        &self.metrics
    }

    /// Get resource monitor
    pub fn get_resource_monitor(&self) -> &ResourceMonitor {
        &self.resource_monitor
    }
}

impl ResourceMonitor {
    /// Create new resource monitor
    pub fn new(max_history_length: usize) -> Self {
        Self {
            memory_history: Arc::new(std::sync::Mutex::new(Vec::with_capacity(max_history_length))),
            cpu_history: Arc::new(std::sync::Mutex::new(Vec::with_capacity(max_history_length))),
            max_history_length,
        }
    }

    /// Start monitoring resources
    pub async fn start_monitoring(&self) {
        // Clear previous history
        if let Ok(mut history) = self.memory_history.lock() {
            history.clear();
        }
        if let Ok(mut history) = self.cpu_history.lock() {
            history.clear();
        }
    }

    /// Stop monitoring resources
    pub async fn stop_monitoring(&self) {
        // In a real implementation, this would stop the monitoring task
    }

    /// Get current memory usage in MB
    pub async fn get_current_memory_mb(&self) -> f64 {
        // This would typically use system APIs to get actual memory usage
        // For now, return a placeholder value
        512.0
    }

    /// Get current CPU usage percentage
    pub async fn get_current_cpu_percent(&self) -> f64 {
        // This would typically use system APIs to get actual CPU usage
        // For now, return a placeholder value
        45.0
    }

    /// Get usage statistics
    pub async fn get_usage_stats(&self) -> ResourceUsageStats {
        let mem_hist = self.memory_history.lock().unwrap();
        let cpu_hist = self.cpu_history.lock().unwrap();

        let peak_memory = mem_hist.iter().fold(0.0, |arg0: f64, other: &f64| f64::max(arg0, *other));
        let avg_memory = if !mem_hist.is_empty() {
            mem_hist.iter().sum::<f64>() / mem_hist.len() as f64
        } else {
            0.0
        };

        let peak_cpu = cpu_hist.iter().fold(0.0, |arg0: f64, other: &f64| f64::max(arg0, *other));
        let avg_cpu = if !cpu_hist.is_empty() {
            cpu_hist.iter().sum::<f64>() / cpu_hist.len() as f64
        } else {
            0.0
        };

        ResourceUsageStats {
            peak_memory_mb: peak_memory,
            avg_memory_mb: avg_memory,
            peak_cpu_percent: peak_cpu,
            avg_cpu_percent: avg_cpu,
            network_requests: 0, // Would track actual network requests
            cache_hits: 0,      // Would track actual cache hits
            cache_misses: 0,    // Would track actual cache misses
        }
    }
}

impl Default for JobPriority {
    fn default() -> Self {
        Self::Normal
    }
}

impl Default for BatchJobConfig {
    fn default() -> Self {
        Self {
            max_concurrent_items: None,
            timeout_seconds: None,
            enable_retries: None,
            custom_params: HashMap::new(),
        }
    }
}