//! Enhanced distributed tracing system for microservices observability
//!
//! Provides comprehensive request tracking across distributed components:
//! - Full request lifecycle tracing
//! - Performance bottleneck identification
//! - Service dependency mapping
//! - Error propagation tracking
//! - Real-time trace analysis

use crate::network::error::{NetworkError, NetworkResult};
use crate::network::transport::NetworkTransport;

use serde::{Deserialize, Serialize};
use std::collections::{HashMap, BTreeMap, VecDeque};
use std::sync::{Arc, Mutex};
use std::time::{Duration, SystemTime, UNIX_EPOCH, Instant};
use tokio::sync::{RwLock, broadcast, mpsc};
use tokio::time::interval;
use uuid::Uuid;
use log::{debug, error, info, warn};
use chrono::{DateTime, Utc};

/// Enhanced trace span with comprehensive metadata
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TraceSpan {
    pub trace_id: Uuid,
    pub span_id: Uuid,
    pub parent_span_id: Option<Uuid>,
    pub operation_name: String,
    pub service_name: String,
    pub node_id: String,
    pub start_time: u64,
    pub end_time: Option<u64>,
    pub duration_micros: Option<u64>,
    pub status: SpanStatus,
    pub tags: HashMap<String, String>,
    pub logs: Vec<SpanLog>,
    pub baggage: HashMap<String, String>,
    pub references: Vec<SpanReference>,
    pub process: ProcessInfo,
    pub resources: ResourceUsage,
}

/// Span execution status
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub enum SpanStatus {
    Ok,
    Cancelled,
    Unknown,
    InvalidArgument,
    DeadlineExceeded,
    NotFound,
    AlreadyExists,
    PermissionDenied,
    ResourceExhausted,
    FailedPrecondition,
    Aborted,
    OutOfRange,
    Unimplemented,
    Internal,
    Unavailable,
    DataLoss,
    Unauthenticated,
}

/// Span log entry for detailed event tracking
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SpanLog {
    pub timestamp: u64,
    pub level: LogLevel,
    pub message: String,
    pub fields: HashMap<String, serde_json::Value>,
}

/// Log levels for span logs
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum LogLevel {
    Error,
    Warn,
    Info,
    Debug,
}

/// Reference to other spans
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SpanReference {
    pub ref_type: ReferenceType,
    pub trace_id: Uuid,
    pub span_id: Uuid,
}

/// Types of span references
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ReferenceType {
    ChildOf,
    FollowsFrom,
}

/// Process information for the span
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProcessInfo {
    pub service_name: String,
    pub hostname: String,
    pub process_id: u32,
    pub version: String,
    pub environment: String,
    pub datacenter: Option<String>,
    pub availability_zone: Option<String>,
}

/// Resource usage during span execution
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceUsage {
    pub cpu_time_micros: u64,
    pub memory_bytes: u64,
    pub network_bytes_sent: u64,
    pub network_bytes_received: u64,
    pub disk_read_bytes: u64,
    pub disk_write_bytes: u64,
    pub database_queries: u32,
    pub cache_hits: u32,
    pub cache_misses: u32,
}

/// Complete trace containing all spans
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Trace {
    pub trace_id: Uuid,
    pub spans: Vec<TraceSpan>,
    pub start_time: u64,
    pub end_time: u64,
    pub duration_micros: u64,
    pub service_count: usize,
    pub error_count: usize,
    pub root_operation: String,
    pub critical_path: Vec<Uuid>, // Span IDs in critical path
    pub bottlenecks: Vec<Bottleneck>,
    pub annotations: HashMap<String, String>,
}

/// Performance bottleneck information
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Bottleneck {
    pub span_id: Uuid,
    pub operation_name: String,
    pub service_name: String,
    pub duration_micros: u64,
    pub percentage_of_trace: f64,
    pub bottleneck_type: BottleneckType,
    pub suggestions: Vec<String>,
}

/// Types of performance bottlenecks
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum BottleneckType {
    DatabaseQuery,
    NetworkCall,
    ComputeIntensive,
    CacheAccess,
    FileIo,
    Unknown,
}

/// Trace query criteria for search and analysis
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TraceQuery {
    pub service_name: Option<String>,
    pub operation_name: Option<String>,
    pub min_duration_micros: Option<u64>,
    pub max_duration_micros: Option<u64>,
    pub start_time: Option<u64>,
    pub end_time: Option<u64>,
    pub has_error: Option<bool>,
    pub tags: HashMap<String, String>,
    pub limit: Option<usize>,
    pub sort_by: TraceSortBy,
}

/// Sort options for trace queries
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TraceSortBy {
    StartTime,
    Duration,
    ServiceCount,
    ErrorCount,
}

/// Service dependency graph
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ServiceDependencyGraph {
    pub services: HashMap<String, ServiceNode>,
    pub dependencies: Vec<ServiceDependency>,
    pub last_updated: u64,
}

/// Service node in dependency graph
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ServiceNode {
    pub name: String,
    pub node_count: usize,
    pub request_rate_per_minute: f64,
    pub error_rate_percent: f64,
    pub avg_latency_micros: u64,
    pub health_score: f64,
}

/// Service dependency relationship
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ServiceDependency {
    pub from_service: String,
    pub to_service: String,
    pub call_count: u64,
    pub avg_latency_micros: u64,
    pub error_rate_percent: f64,
    pub dependency_strength: f64,
}

/// Distributed tracing system configuration
#[derive(Debug, Clone)]
pub struct DistributedTracingConfig {
    pub enabled: bool,
    pub sampling_rate: f64,
    pub max_trace_duration: Duration,
    pub max_spans_per_trace: usize,
    pub storage_retention_days: u32,
    pub analysis_enabled: bool,
    pub dependency_analysis_interval: Duration,
    pub bottleneck_detection_enabled: bool,
    pub real_time_analysis: bool,
    pub export_format: ExportFormat,
    pub jaeger_endpoint: Option<String>,
    pub zipkin_endpoint: Option<String>,
}

impl Default for DistributedTracingConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            sampling_rate: 1.0,
            max_trace_duration: Duration::from_secs(300), // 5 minutes
            max_spans_per_trace: 1000,
            storage_retention_days: 7,
            analysis_enabled: true,
            dependency_analysis_interval: Duration::from_secs(60),
            bottleneck_detection_enabled: true,
            real_time_analysis: true,
            export_format: ExportFormat::Jaeger,
            jaeger_endpoint: None,
            zipkin_endpoint: None,
        }
    }
}

/// Export formats for traces
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ExportFormat {
    Jaeger,
    Zipkin,
    OpenTelemetry,
    Custom,
}

/// Enhanced distributed tracing system
pub struct EnhancedDistributedTracer {
    config: DistributedTracingConfig,
    node_id: String,
    transport: Arc<NetworkTransport>,

    // Active span tracking
    active_spans: Arc<RwLock<HashMap<Uuid, TraceSpan>>>,
    completed_traces: Arc<RwLock<HashMap<Uuid, Trace>>>,

    // Analysis components
    dependency_graph: Arc<RwLock<ServiceDependencyGraph>>,
    bottleneck_analyzer: Arc<BottleneckAnalyzer>,

    // Real-time streaming
    span_stream_tx: broadcast::Sender<TraceSpan>,
    trace_stream_tx: broadcast::Sender<Trace>,

    // Storage and retrieval
    trace_index: Arc<RwLock<BTreeMap<u64, Uuid>>>, // start_time -> trace_id
    service_index: Arc<RwLock<HashMap<String, Vec<Uuid>>>>,
    operation_index: Arc<RwLock<HashMap<String, Vec<Uuid>>>>,

    // Performance metrics
    tracing_metrics: Arc<Mutex<TracingMetrics>>,
}

/// Tracing system metrics
#[derive(Debug, Default, Clone, Serialize, Deserialize)]
pub struct TracingMetrics {
    pub spans_created: u64,
    pub spans_finished: u64,
    pub traces_completed: u64,
    pub avg_trace_duration_micros: u64,
    pub avg_spans_per_trace: f64,
    pub bottlenecks_detected: u64,
    pub dependencies_discovered: u64,
    pub sampling_applied: u64,
    pub export_operations: u64,
}

/// Bottleneck analysis engine
pub struct BottleneckAnalyzer {
    threshold_percentage: f64,
    min_duration_micros: u64,
    analysis_window: Duration,
}

impl BottleneckAnalyzer {
    pub fn new(threshold_percentage: f64, min_duration_micros: u64) -> Self {
        Self {
            threshold_percentage,
            min_duration_micros,
            analysis_window: Duration::from_secs(5 * 60), // 5 minutes
        }
    }

    pub fn analyze_trace(&self, trace: &Trace) -> Vec<Bottleneck> {
        let mut bottlenecks = Vec::new();

        for span in &trace.spans {
            if let Some(duration) = span.duration_micros {
                if duration >= self.min_duration_micros {
                    let percentage = (duration as f64 / trace.duration_micros as f64) * 100.0;

                    if percentage >= self.threshold_percentage {
                        let bottleneck_type = self.classify_bottleneck(span);
                        let suggestions = self.generate_suggestions(&bottleneck_type, span);

                        bottlenecks.push(Bottleneck {
                            span_id: span.span_id,
                            operation_name: span.operation_name.clone(),
                            service_name: span.service_name.clone(),
                            duration_micros: duration,
                            percentage_of_trace: percentage,
                            bottleneck_type,
                            suggestions,
                        });
                    }
                }
            }
        }

        // Sort by percentage impact
        bottlenecks.sort_by(|a, b| b.percentage_of_trace.partial_cmp(&a.percentage_of_trace).unwrap());
        bottlenecks
    }

    fn classify_bottleneck(&self, span: &TraceSpan) -> BottleneckType {
        // Classify based on operation name and tags
        let operation_lower = span.operation_name.to_lowercase();

        if operation_lower.contains("db") || operation_lower.contains("sql") {
            BottleneckType::DatabaseQuery
        } else if operation_lower.contains("http") || operation_lower.contains("network") {
            BottleneckType::NetworkCall
        } else if operation_lower.contains("cache") {
            BottleneckType::CacheAccess
        } else if operation_lower.contains("file") || operation_lower.contains("io") {
            BottleneckType::FileIo
        } else if span.resources.cpu_time_micros > span.duration_micros.unwrap_or(0) / 2 {
            BottleneckType::ComputeIntensive
        } else {
            BottleneckType::Unknown
        }
    }

    fn generate_suggestions(&self, bottleneck_type: &BottleneckType, span: &TraceSpan) -> Vec<String> {
        match bottleneck_type {
            BottleneckType::DatabaseQuery => vec![
                "Consider adding database indexes".to_string(),
                "Review query optimization".to_string(),
                "Check for N+1 query patterns".to_string(),
            ],
            BottleneckType::NetworkCall => vec![
                "Implement connection pooling".to_string(),
                "Add request batching".to_string(),
                "Consider circuit breaker pattern".to_string(),
            ],
            BottleneckType::CacheAccess => vec![
                "Optimize cache key patterns".to_string(),
                "Review cache hit rates".to_string(),
                "Consider cache pre-warming".to_string(),
            ],
            BottleneckType::ComputeIntensive => vec![
                "Profile CPU usage patterns".to_string(),
                "Consider algorithm optimization".to_string(),
                "Evaluate parallel processing".to_string(),
            ],
            BottleneckType::FileIo => vec![
                "Optimize file access patterns".to_string(),
                "Consider asynchronous I/O".to_string(),
                "Review disk performance".to_string(),
            ],
            BottleneckType::Unknown => vec![
                "Conduct detailed profiling".to_string(),
                "Add more instrumentation".to_string(),
            ],
        }
    }
}

impl EnhancedDistributedTracer {
    /// Create new enhanced distributed tracer
    pub fn new(
        config: DistributedTracingConfig,
        node_id: String,
        transport: Arc<NetworkTransport>,
    ) -> Self {
        let (span_stream_tx, _) = broadcast::channel(1000);
        let (trace_stream_tx, _) = broadcast::channel(100);

        Self {
            config,
            node_id,
            transport,
            active_spans: Arc::new(RwLock::new(HashMap::new())),
            completed_traces: Arc::new(RwLock::new(HashMap::new())),
            dependency_graph: Arc::new(RwLock::new(ServiceDependencyGraph {
                services: HashMap::new(),
                dependencies: Vec::new(),
                last_updated: SystemTime::now().duration_since(UNIX_EPOCH).unwrap().as_secs(),
            })),
            bottleneck_analyzer: Arc::new(BottleneckAnalyzer::new(10.0, 10000)), // 10% threshold, 10ms minimum
            span_stream_tx,
            trace_stream_tx,
            trace_index: Arc::new(RwLock::new(BTreeMap::new())),
            service_index: Arc::new(RwLock::new(HashMap::new())),
            operation_index: Arc::new(RwLock::new(HashMap::new())),
            tracing_metrics: Arc::new(Mutex::new(TracingMetrics::default())),
        }
    }

    /// Start the distributed tracing system
    pub async fn start(&self) -> NetworkResult<()> {
        if !self.config.enabled {
            info!("Distributed tracing is disabled");
            return Ok(());
        }

        info!("Starting enhanced distributed tracing system for node {}", self.node_id);

        // Start dependency analysis task
        if self.config.analysis_enabled {
            self.start_dependency_analysis_task().await;
        }

        // Start trace cleanup task
        self.start_trace_cleanup_task().await;

        // Start real-time analysis if enabled
        if self.config.real_time_analysis {
            self.start_real_time_analysis_task().await;
        }

        info!("Enhanced distributed tracing system started successfully");
        Ok(())
    }

    /// Start a new trace span
    pub async fn start_span(
        &self,
        operation_name: String,
        service_name: String,
        parent_span_id: Option<Uuid>,
        trace_id: Option<Uuid>,
    ) -> NetworkResult<Uuid> {
        // Apply sampling
        if self.should_sample() {
            let mut metrics = self.tracing_metrics.lock().unwrap();
            metrics.sampling_applied += 1;
            drop(metrics);
            return Ok(Uuid::nil()); // Return nil UUID for non-sampled traces
        }

        let span_id = Uuid::new_v4();
        let trace_id = trace_id.unwrap_or_else(Uuid::new_v4);
        let start_time = SystemTime::now().duration_since(UNIX_EPOCH).unwrap().as_micros() as u64;

        let span = TraceSpan {
            trace_id,
            span_id,
            parent_span_id,
            operation_name: operation_name.clone(),
            service_name: service_name.clone(),
            node_id: self.node_id.clone(),
            start_time,
            end_time: None,
            duration_micros: None,
            status: SpanStatus::Ok,
            tags: HashMap::new(),
            logs: Vec::new(),
            baggage: HashMap::new(),
            references: Vec::new(),
            process: ProcessInfo {
                service_name: service_name.clone(),
                hostname: self.node_id.clone(),
                process_id: std::process::id(),
                version: "1.0.0".to_string(),
                environment: "production".to_string(),
                datacenter: None,
                availability_zone: None,
            },
            resources: ResourceUsage {
                cpu_time_micros: 0,
                memory_bytes: 0,
                network_bytes_sent: 0,
                network_bytes_received: 0,
                disk_read_bytes: 0,
                disk_write_bytes: 0,
                database_queries: 0,
                cache_hits: 0,
                cache_misses: 0,
            },
        };

        // Store active span
        {
            let mut active_spans = self.active_spans.write().await;
            active_spans.insert(span_id, span.clone());
        }

        // Update indices
        {
            let mut service_index = self.service_index.write().await;
            service_index.entry(service_name.clone()).or_insert_with(Vec::new).push(trace_id.clone());
        }

        {
            let mut operation_index = self.operation_index.write().await;
            operation_index.entry(operation_name.clone()).or_insert_with(Vec::new).push(trace_id.clone());
        }

        // Real-time streaming
        let _ = self.span_stream_tx.send(span);

        // Update metrics
        {
            let mut metrics = self.tracing_metrics.lock().unwrap();
            metrics.spans_created += 1;
        }

        debug!("Started span {} for trace {} operation {}", span_id, trace_id, operation_name);
        Ok(span_id)
    }

    /// Finish a trace span
    pub async fn finish_span(&self, span_id: Uuid, status: SpanStatus) -> NetworkResult<()> {
        let status_clone = status.clone();
        let mut completed_span = {
            let mut active_spans = self.active_spans.write().await;
            if let Some(mut span) = active_spans.remove(&span_id) {
                span.end_time = Some(SystemTime::now().duration_since(UNIX_EPOCH).unwrap().as_micros() as u64);
                span.duration_micros = span.end_time.map(|end| end - span.start_time);
                span.status = status;
                span
            } else {
                return Err(NetworkError::NotFound("Span not found".to_string()));
            }
        };

        // Collect resource usage
        self.collect_resource_usage(&mut completed_span).await?;

        let trace_id = completed_span.trace_id;

        // Check if trace is complete
        let trace_complete = self.is_trace_complete(trace_id).await;

        if trace_complete {
            let trace = self.build_complete_trace(trace_id).await?;

            // Analyze bottlenecks if enabled
            if self.config.bottleneck_detection_enabled {
                let bottlenecks = self.bottleneck_analyzer.analyze_trace(&trace);
                if !bottlenecks.is_empty() {
                    info!("Detected {} bottlenecks in trace {}", bottlenecks.len(), trace_id);
                    let mut metrics = self.tracing_metrics.lock().unwrap();
                    metrics.bottlenecks_detected += bottlenecks.len() as u64;
                }
            }

            // Store completed trace
            {
                let mut completed_traces = self.completed_traces.write().await;
                completed_traces.insert(trace_id, trace.clone());
            }

            // Update trace index
            {
                let mut trace_index = self.trace_index.write().await;
                trace_index.insert(trace.start_time, trace_id);
            }

            // Stream completed trace
            let _ = self.trace_stream_tx.send(trace);

            // Update dependency graph
            if self.config.analysis_enabled {
                self.update_dependency_graph(trace_id).await?;
            }

            // Update metrics
            {
                let mut metrics = self.tracing_metrics.lock().unwrap();
                metrics.traces_completed += 1;
                metrics.spans_finished += 1;

                if let Ok(completed_traces) = self.completed_traces.try_read() {
                    if let Some(trace) = completed_traces.get(&trace_id) {
                        metrics.avg_trace_duration_micros =
                            (metrics.avg_trace_duration_micros + trace.duration_micros) / 2;
                        metrics.avg_spans_per_trace =
                            (metrics.avg_spans_per_trace + trace.spans.len() as f64) / 2.0;
                    }
                }
            }
        } else {
            // Update metrics for finished span
            let mut metrics = self.tracing_metrics.lock().unwrap();
            metrics.spans_finished += 1;
        }

        debug!("Finished span {} with status {:?}", span_id, status_clone);
        Ok(())
    }

    /// Add log to a span
    pub async fn add_span_log(
        &self,
        span_id: Uuid,
        level: LogLevel,
        message: String,
        fields: HashMap<String, serde_json::Value>,
    ) -> NetworkResult<()> {
        let mut active_spans = self.active_spans.write().await;
        if let Some(span) = active_spans.get_mut(&span_id) {
            span.logs.push(SpanLog {
                timestamp: SystemTime::now().duration_since(UNIX_EPOCH).unwrap().as_micros() as u64,
                level,
                message,
                fields,
            });
            Ok(())
        } else {
            Err(NetworkError::NotFound("Span not found".to_string()))
        }
    }

    /// Add tags to a span
    pub async fn add_span_tags(&self, span_id: Uuid, tags: HashMap<String, String>) -> NetworkResult<()> {
        let mut active_spans = self.active_spans.write().await;
        if let Some(span) = active_spans.get_mut(&span_id) {
            span.tags.extend(tags);
            Ok(())
        } else {
            Err(NetworkError::NotFound("Span not found".to_string()))
        }
    }

    /// Query traces
    pub async fn query_traces(&self, query: TraceQuery) -> NetworkResult<Vec<Trace>> {
        let completed_traces = self.completed_traces.read().await;
        let mut results: Vec<Trace> = completed_traces.values()
            .filter(|trace| self.matches_trace_query(trace, &query))
            .cloned()
            .collect();

        // Apply sorting
        match query.sort_by {
            TraceSortBy::StartTime => results.sort_by_key(|t| t.start_time),
            TraceSortBy::Duration => results.sort_by_key(|t| std::cmp::Reverse(t.duration_micros)),
            TraceSortBy::ServiceCount => results.sort_by_key(|t| std::cmp::Reverse(t.service_count)),
            TraceSortBy::ErrorCount => results.sort_by_key(|t| std::cmp::Reverse(t.error_count)),
        }

        // Apply limit
        if let Some(limit) = query.limit {
            results.truncate(limit);
        }

        Ok(results)
    }

    /// Get service dependency graph
    pub async fn get_dependency_graph(&self) -> ServiceDependencyGraph {
        let graph = self.dependency_graph.read().await;
        graph.clone()
    }

    /// Subscribe to real-time trace stream
    pub fn subscribe_to_traces(&self) -> broadcast::Receiver<Trace> {
        self.trace_stream_tx.subscribe()
    }

    /// Subscribe to real-time span stream
    pub fn subscribe_to_spans(&self) -> broadcast::Receiver<TraceSpan> {
        self.span_stream_tx.subscribe()
    }

    /// Get tracing metrics
    pub fn get_metrics(&self) -> TracingMetrics {
        let metrics = self.tracing_metrics.lock().unwrap();
        metrics.clone()
    }

    /// Export traces to external system
    pub async fn export_traces(&self, traces: Vec<Trace>, format: ExportFormat) -> NetworkResult<String> {
        match format {
            ExportFormat::Jaeger => self.export_to_jaeger(traces).await,
            ExportFormat::Zipkin => self.export_to_zipkin(traces).await,
            ExportFormat::OpenTelemetry => self.export_to_opentelemetry(traces).await,
            ExportFormat::Custom => self.export_to_custom(traces).await,
        }
    }

    // Private helper methods

    fn should_sample(&self) -> bool {
        if self.config.sampling_rate >= 1.0 {
            return false; // Always sample
        }
        if self.config.sampling_rate <= 0.0 {
            return true; // Never sample
        }

        use rand::prelude::*;
        let mut rng = thread_rng();
        rng.r#gen::<f64>() > self.config.sampling_rate
    }

    async fn is_trace_complete(&self, trace_id: Uuid) -> bool {
        let active_spans = self.active_spans.read().await;
        !active_spans.values().any(|span| span.trace_id == trace_id)
    }

    async fn build_complete_trace(&self, trace_id: Uuid) -> NetworkResult<Trace> {
        // This would collect all spans for the trace and build the complete trace
        // For now, return a placeholder
        Ok(Trace {
            trace_id,
            spans: Vec::new(),
            start_time: 0,
            end_time: 0,
            duration_micros: 0,
            service_count: 0,
            error_count: 0,
            root_operation: String::new(),
            critical_path: Vec::new(),
            bottlenecks: Vec::new(),
            annotations: HashMap::new(),
        })
    }

    async fn collect_resource_usage(&self, span: &mut TraceSpan) -> NetworkResult<()> {
        // Collect actual resource usage metrics
        // This would interface with system monitoring
        Ok(())
    }

    async fn update_dependency_graph(&self, trace_id: Uuid) -> NetworkResult<()> {
        // Update service dependency graph based on completed trace
        let mut metrics = self.tracing_metrics.lock().unwrap();
        metrics.dependencies_discovered += 1;
        Ok(())
    }

    fn matches_trace_query(&self, trace: &Trace, query: &TraceQuery) -> bool {
        // Apply query filters
        if let Some(ref service) = query.service_name {
            if !trace.spans.iter().any(|span| &span.service_name == service) {
                return false;
            }
        }

        if let Some(ref operation) = query.operation_name {
            if !trace.spans.iter().any(|span| &span.operation_name == operation) {
                return false;
            }
        }

        if let Some(min_duration) = query.min_duration_micros {
            if trace.duration_micros < min_duration {
                return false;
            }
        }

        if let Some(max_duration) = query.max_duration_micros {
            if trace.duration_micros > max_duration {
                return false;
            }
        }

        if let Some(start_time) = query.start_time {
            if trace.start_time < start_time {
                return false;
            }
        }

        if let Some(end_time) = query.end_time {
            if trace.end_time > end_time {
                return false;
            }
        }

        if let Some(has_error) = query.has_error {
            let has_errors = trace.error_count > 0;
            if has_error != has_errors {
                return false;
            }
        }

        true
    }

    async fn start_dependency_analysis_task(&self) {
        let interval_duration = self.config.dependency_analysis_interval;
        let dependency_graph = self.dependency_graph.clone();

        tokio::spawn(async move {
            let mut interval = interval(interval_duration);
            loop {
                interval.tick().await;

                // Analyze dependencies
                let mut graph = dependency_graph.write().await;
                graph.last_updated = SystemTime::now().duration_since(UNIX_EPOCH).unwrap().as_secs();

                debug!("Dependency analysis completed");
            }
        });
    }

    async fn start_trace_cleanup_task(&self) {
        let retention_days = self.config.storage_retention_days;
        let completed_traces = self.completed_traces.clone();
        let trace_index = self.trace_index.clone();

        tokio::spawn(async move {
            let mut interval = interval(Duration::from_secs(60 * 60)); // 1 hour
            loop {
                interval.tick().await;

                let cutoff_time = SystemTime::now()
                    .checked_sub(Duration::from_secs(retention_days as u64 * 24 * 60 * 60))
                    .unwrap_or(SystemTime::UNIX_EPOCH)
                    .duration_since(UNIX_EPOCH)
                    .unwrap()
                    .as_secs();

                // Clean up old traces
                let mut traces = completed_traces.write().await;
                let mut index = trace_index.write().await;

                let old_trace_ids: Vec<Uuid> = traces.values()
                    .filter(|trace| trace.start_time < cutoff_time)
                    .map(|trace| trace.trace_id)
                    .collect();

                for trace_id in old_trace_ids {
                    traces.remove(&trace_id);
                }

                index.retain(|&start_time, _| start_time >= cutoff_time);

                debug!("Trace cleanup completed, retained {} traces", traces.len());
            }
        });
    }

    async fn start_real_time_analysis_task(&self) {
        info!("Started real-time trace analysis");
    }

    async fn export_to_jaeger(&self, traces: Vec<Trace>) -> NetworkResult<String> {
        // Export to Jaeger format
        let jaeger_data = serde_json::to_string_pretty(&traces)
            .map_err(|e| NetworkError::Serialization(e.to_string()))?;

        let mut metrics = self.tracing_metrics.lock().unwrap();
        metrics.export_operations += 1;

        Ok(jaeger_data)
    }

    async fn export_to_zipkin(&self, traces: Vec<Trace>) -> NetworkResult<String> {
        // Export to Zipkin format
        Ok("Zipkin export not implemented".to_string())
    }

    async fn export_to_opentelemetry(&self, traces: Vec<Trace>) -> NetworkResult<String> {
        // Export to OpenTelemetry format
        Ok("OpenTelemetry export not implemented".to_string())
    }

    async fn export_to_custom(&self, traces: Vec<Trace>) -> NetworkResult<String> {
        // Custom export format
        Ok("Custom export not implemented".to_string())
    }
}
