inferno-ai 0.10.3

#![allow(dead_code, unused_imports, unused_variables)]
use anyhow::Result;
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::path::PathBuf;
use std::sync::Arc;
use tokio::sync::RwLock;
use tracing::{info, warn};
use uuid::Uuid;

/// Model versioning and A/B testing configuration
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ModelVersioningConfig {
    /// Enable model versioning
    pub enabled: bool,
    /// Version storage backend
    pub storage: VersionStorageConfig,
    /// A/B testing configuration
    pub ab_testing: ModelVersioningABTestingConfig,
    /// Rollout strategies
    pub rollout: RolloutConfig,
    /// Model registry settings
    pub registry: ModelRegistryConfig,
    /// Version comparison settings
    pub comparison: VersionComparisonConfig,
    /// Canary deployment settings
    pub canary: CanaryConfig,
    /// Rollback configuration
    pub rollback: RollbackConfig,
    /// Performance tracking
    pub performance: PerformanceTrackingConfig,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct VersionStorageConfig {
    /// Storage backend type
    pub backend: StorageBackend,
    /// Base path for model versions
    pub base_path: PathBuf,
    /// Retention policy
    pub retention: RetentionPolicy,
    /// Compression settings
    pub compression: CompressionConfig,
    /// Backup configuration
    pub backup: BackupConfig,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum StorageBackend {
    FileSystem,
    S3,
    GCS,
    Azure,
    Database,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RetentionPolicy {
    /// Maximum versions to keep per model
    pub max_versions: u32,
    /// Maximum age in days
    pub max_age_days: u32,
    /// Minimum versions to always keep
    pub min_versions: u32,
    /// Keep production versions longer
    pub keep_production: bool,
    /// Custom retention rules
    pub custom_rules: Vec<RetentionRule>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RetentionRule {
    /// Rule name
    pub name: String,
    /// Version pattern (regex)
    pub pattern: String,
    /// Retention days
    pub retention_days: u32,
    /// Priority (higher = more important)
    pub priority: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompressionConfig {
    /// Enable compression
    pub enabled: bool,
    /// Compression algorithm
    pub algorithm: CompressionAlgorithm,
    /// Compression level (1-9)
    pub level: u8,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CompressionAlgorithm {
    Gzip,
    Brotli,
    Zstd,
    Lz4,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BackupConfig {
    /// Enable automatic backups
    pub enabled: bool,
    /// Backup interval in hours
    pub interval_hours: u32,
    /// Backup storage location
    pub storage_location: String,
    /// Backup retention in days
    pub retention_days: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelVersioningABTestingConfig {
    /// Enable A/B testing
    pub enabled: bool,
    /// Default experiment duration in days
    pub default_duration_days: u32,
    /// Minimum sample size per variant
    pub min_sample_size: u32,
    /// Significance level for statistical tests
    pub significance_level: f64,
    /// Power analysis threshold
    pub power_threshold: f64,
    /// Maximum concurrent experiments
    pub max_concurrent_experiments: u32,
    /// Traffic allocation strategy
    pub allocation_strategy: AllocationStrategy,
    /// Experiment tracking
    pub tracking: ExperimentTrackingConfig,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AllocationStrategy {
    Random,
    Weighted,
    HashBased,
    GeographicBased,
    TimeBased,
    UserBased,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExperimentTrackingConfig {
    /// Track user interactions
    pub track_interactions: bool,
    /// Track performance metrics
    pub track_performance: bool,
    /// Track error rates
    pub track_errors: bool,
    /// Custom tracking events
    pub custom_events: Vec<String>,
    /// Data retention for experiments
    pub data_retention_days: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RolloutConfig {
    /// Default rollout strategy
    pub default_strategy: RolloutStrategy,
    /// Rollout stages configuration
    pub stages: Vec<RolloutStage>,
    /// Safety thresholds
    pub safety_thresholds: SafetyThresholds,
    /// Automatic rollback triggers
    pub auto_rollback: AutoRollbackConfig,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum RolloutStrategy {
    BlueGreen,
    Canary,
    RollingUpdate,
    FeatureFlag,
    Manual,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RolloutStage {
    /// Stage name
    pub name: String,
    /// Traffic percentage
    pub traffic_percentage: f64,
    /// Duration in minutes
    pub duration_minutes: u32,
    /// Success criteria
    pub success_criteria: Vec<SuccessCriterion>,
    /// Auto-advance to next stage
    pub auto_advance: bool,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SuccessCriterion {
    /// Metric name
    pub metric: String,
    /// Comparison operator
    pub operator: ComparisonOperator,
    /// Threshold value
    pub threshold: f64,
    /// Evaluation window in minutes
    pub window_minutes: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ComparisonOperator {
    GreaterThan,
    LessThan,
    Equal,
    GreaterThanOrEqual,
    LessThanOrEqual,
    NotEqual,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SafetyThresholds {
    /// Maximum error rate increase
    pub max_error_rate_increase: f64,
    /// Maximum latency increase
    pub max_latency_increase: f64,
    /// Minimum success rate
    pub min_success_rate: f64,
    /// Maximum resource usage increase
    pub max_resource_usage_increase: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AutoRollbackConfig {
    /// Enable automatic rollback
    pub enabled: bool,
    /// Error rate threshold for rollback
    pub error_rate_threshold: f64,
    /// Latency threshold for rollback
    pub latency_threshold_ms: u64,
    /// Memory usage threshold for rollback
    pub memory_threshold_mb: u64,
    /// Evaluation window for rollback
    pub evaluation_window_minutes: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelRegistryConfig {
    /// Registry type
    pub registry_type: RegistryType,
    /// Registry endpoint
    pub endpoint: Option<String>,
    /// Authentication settings
    pub auth: RegistryAuthConfig,
    /// Model metadata tracking
    pub metadata: MetadataConfig,
    /// Model validation
    pub validation: ValidationConfig,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum RegistryType {
    Local,
    MLflow,
    Kubeflow,
    Custom,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RegistryAuthConfig {
    /// Authentication type
    pub auth_type: AuthType,
    /// API key
    pub api_key: Option<String>,
    /// Username
    pub username: Option<String>,
    /// Password
    pub password: Option<String>,
    /// Token
    pub token: Option<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AuthType {
    None,
    ApiKey,
    BasicAuth,
    BearerToken,
    OAuth,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MetadataConfig {
    /// Track model lineage
    pub track_lineage: bool,
    /// Track data sources
    pub track_data_sources: bool,
    /// Track training parameters
    pub track_training_params: bool,
    /// Track performance metrics
    pub track_performance: bool,
    /// Custom metadata fields
    pub custom_fields: HashMap<String, String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ValidationConfig {
    /// Enable model validation
    pub enabled: bool,
    /// Validation tests
    pub tests: Vec<ValidationTest>,
    /// Performance benchmarks
    pub benchmarks: Vec<PerformanceBenchmark>,
    /// Data validation
    pub data_validation: DataValidationConfig,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ValidationTest {
    /// Test name
    pub name: String,
    /// Test type
    pub test_type: ValidationType,
    /// Test configuration
    pub config: serde_json::Value,
    /// Required for deployment
    pub required: bool,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ValidationType {
    UnitTest,
    IntegrationTest,
    PerformanceTest,
    AccuracyTest,
    BiasTest,
    SecurityTest,
    Custom,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceBenchmark {
    /// Benchmark name
    pub name: String,
    /// Metric to measure
    pub metric: String,
    /// Expected threshold
    pub threshold: f64,
    /// Test dataset
    pub dataset: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataValidationConfig {
    /// Enable data validation
    pub enabled: bool,
    /// Schema validation
    pub schema_validation: bool,
    /// Data quality checks
    pub quality_checks: Vec<DataQualityCheck>,
    /// Statistical validation
    pub statistical_validation: bool,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataQualityCheck {
    /// Check name
    pub name: String,
    /// Check type
    pub check_type: DataQualityType,
    /// Configuration
    pub config: serde_json::Value,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DataQualityType {
    MissingValues,
    OutOfRange,
    DataDrift,
    FeatureDrift,
    LabelDrift,
    Custom,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct VersionComparisonConfig {
    /// Enable version comparison
    pub enabled: bool,
    /// Comparison metrics
    pub metrics: Vec<ComparisonMetric>,
    /// Statistical tests
    pub statistical_tests: Vec<StatisticalTest>,
    /// Visualization settings
    pub visualization: VisualizationConfig,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComparisonMetric {
    /// Metric name
    pub name: String,
    /// Metric type
    pub metric_type: MetricType,
    /// Weight in overall comparison
    pub weight: f64,
    /// Higher is better
    pub higher_is_better: bool,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MetricType {
    Accuracy,
    Precision,
    Recall,
    F1Score,
    AUC,
    Latency,
    Throughput,
    MemoryUsage,
    Custom,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StatisticalTest {
    /// Test name
    pub name: String,
    /// Test type
    pub test_type: StatisticalTestType,
    /// Significance level
    pub significance_level: f64,
    /// Minimum effect size
    pub min_effect_size: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum StatisticalTestType {
    TTest,
    ChiSquare,
    ANOVA,
    MannWhitney,
    Wilcoxon,
    KolmogorovSmirnov,
    Custom,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct VisualizationConfig {
    /// Enable visualizations
    pub enabled: bool,
    /// Chart types to generate
    pub chart_types: Vec<ChartType>,
    /// Output format
    pub output_format: Vec<OutputFormat>,
    /// Export location
    pub export_path: PathBuf,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ChartType {
    BarChart,
    LineChart,
    ScatterPlot,
    Histogram,
    BoxPlot,
    HeatMap,
    Custom,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OutputFormat {
    PNG,
    SVG,
    PDF,
    HTML,
    JSON,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CanaryConfig {
    /// Enable canary deployments
    pub enabled: bool,
    /// Initial traffic percentage
    pub initial_traffic: f64,
    /// Traffic increment per stage
    pub traffic_increment: f64,
    /// Stage duration in minutes
    pub stage_duration: u32,
    /// Maximum traffic for canary
    pub max_traffic: f64,
    /// Success criteria for advancing
    pub success_criteria: Vec<SuccessCriterion>,
    /// Failure criteria for rollback
    pub failure_criteria: Vec<FailureCriterion>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FailureCriterion {
    /// Metric name
    pub metric: String,
    /// Comparison operator
    pub operator: ComparisonOperator,
    /// Threshold value
    pub threshold: f64,
    /// Evaluation window in minutes
    pub window_minutes: u32,
    /// Consecutive failures before triggering
    pub consecutive_failures: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RollbackConfig {
    /// Enable automatic rollback
    pub auto_rollback_enabled: bool,
    /// Manual rollback approval required
    pub require_approval: bool,
    /// Rollback strategy
    pub strategy: RollbackStrategy,
    /// Data preservation during rollback
    pub preserve_data: bool,
    /// Notification settings
    pub notifications: NotificationConfig,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum RollbackStrategy {
    Immediate,
    Gradual,
    Staged,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct NotificationConfig {
    /// Enable notifications
    pub enabled: bool,
    /// Notification channels
    pub channels: Vec<NotificationChannel>,
    /// Notification events
    pub events: Vec<NotificationEvent>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct NotificationChannel {
    /// Channel type
    pub channel_type: ChannelType,
    /// Channel configuration
    pub config: serde_json::Value,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ChannelType {
    Email,
    Slack,
    Webhook,
    SMS,
    PagerDuty,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum NotificationEvent {
    ExperimentStarted,
    ExperimentCompleted,
    RolloutStarted,
    RolloutCompleted,
    RollbackTriggered,
    RollbackCompleted,
    ThresholdExceeded,
    ValidationFailed,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceTrackingConfig {
    /// Enable performance tracking
    pub enabled: bool,
    /// Metrics to track
    pub metrics: Vec<PerformanceMetric>,
    /// Sampling rate (0.0 to 1.0)
    pub sampling_rate: f64,
    /// Aggregation window in minutes
    pub aggregation_window: u32,
    /// Storage configuration
    pub storage: PerformanceStorageConfig,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceMetric {
    /// Metric name
    pub name: String,
    /// Metric type
    pub metric_type: String,
    /// Collection method
    pub collection_method: CollectionMethod,
    /// Aggregation function
    pub aggregation: AggregationFunction,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CollectionMethod {
    Timer,
    Counter,
    Gauge,
    Histogram,
    Custom,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AggregationFunction {
    Mean,
    Median,
    P95,
    P99,
    Sum,
    Count,
    Min,
    Max,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceStorageConfig {
    /// Storage backend
    pub backend: PerformanceStorageBackend,
    /// Retention period in days
    pub retention_days: u32,
    /// Batch size for writes
    pub batch_size: u32,
    /// Flush interval in seconds
    pub flush_interval: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum PerformanceStorageBackend {
    InMemory,
    Database,
    TimeSeries,
    Files,
}

impl Default for VersionStorageConfig {
    fn default() -> Self {
        Self {
            backend: StorageBackend::FileSystem,
            base_path: PathBuf::from("./models/versions"),
            retention: RetentionPolicy::default(),
            compression: CompressionConfig::default(),
            backup: BackupConfig::default(),
        }
    }
}

impl Default for RetentionPolicy {
    fn default() -> Self {
        Self {
            max_versions: 10,
            max_age_days: 90,
            min_versions: 2,
            keep_production: true,
            custom_rules: Vec::new(),
        }
    }
}

impl Default for CompressionConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            algorithm: CompressionAlgorithm::Gzip,
            level: 6,
        }
    }
}

impl Default for BackupConfig {
    fn default() -> Self {
        Self {
            enabled: false,
            interval_hours: 24,
            storage_location: "./backups".to_string(),
            retention_days: 30,
        }
    }
}

impl Default for ModelVersioningABTestingConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            default_duration_days: 7,
            min_sample_size: 1000,
            significance_level: 0.05,
            power_threshold: 0.8,
            max_concurrent_experiments: 5,
            allocation_strategy: AllocationStrategy::Random,
            tracking: ExperimentTrackingConfig::default(),
        }
    }
}

impl Default for ExperimentTrackingConfig {
    fn default() -> Self {
        Self {
            track_interactions: true,
            track_performance: true,
            track_errors: true,
            custom_events: Vec::new(),
            data_retention_days: 30,
        }
    }
}

impl Default for RolloutConfig {
    fn default() -> Self {
        Self {
            default_strategy: RolloutStrategy::Canary,
            stages: vec![
                RolloutStage {
                    name: "Initial".to_string(),
                    traffic_percentage: 5.0,
                    duration_minutes: 30,
                    success_criteria: Vec::new(),
                    auto_advance: false,
                },
                RolloutStage {
                    name: "Expanded".to_string(),
                    traffic_percentage: 25.0,
                    duration_minutes: 60,
                    success_criteria: Vec::new(),
                    auto_advance: false,
                },
                RolloutStage {
                    name: "Full".to_string(),
                    traffic_percentage: 100.0,
                    duration_minutes: 0,
                    success_criteria: Vec::new(),
                    auto_advance: false,
                },
            ],
            safety_thresholds: SafetyThresholds::default(),
            auto_rollback: AutoRollbackConfig::default(),
        }
    }
}

impl Default for SafetyThresholds {
    fn default() -> Self {
        Self {
            max_error_rate_increase: 0.05,
            max_latency_increase: 0.2,
            min_success_rate: 0.95,
            max_resource_usage_increase: 0.3,
        }
    }
}

impl Default for AutoRollbackConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            error_rate_threshold: 0.1,
            latency_threshold_ms: 5000,
            memory_threshold_mb: 1024,
            evaluation_window_minutes: 5,
        }
    }
}

impl Default for ModelRegistryConfig {
    fn default() -> Self {
        Self {
            registry_type: RegistryType::Local,
            endpoint: None,
            auth: RegistryAuthConfig::default(),
            metadata: MetadataConfig::default(),
            validation: ValidationConfig::default(),
        }
    }
}

impl Default for RegistryAuthConfig {
    fn default() -> Self {
        Self {
            auth_type: AuthType::None,
            api_key: None,
            username: None,
            password: None,
            token: None,
        }
    }
}

impl Default for MetadataConfig {
    fn default() -> Self {
        Self {
            track_lineage: true,
            track_data_sources: true,
            track_training_params: true,
            track_performance: true,
            custom_fields: HashMap::new(),
        }
    }
}

impl Default for ValidationConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            tests: Vec::new(),
            benchmarks: Vec::new(),
            data_validation: DataValidationConfig::default(),
        }
    }
}

impl Default for DataValidationConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            schema_validation: true,
            quality_checks: Vec::new(),
            statistical_validation: true,
        }
    }
}

impl Default for VersionComparisonConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            metrics: Vec::new(),
            statistical_tests: Vec::new(),
            visualization: VisualizationConfig::default(),
        }
    }
}

impl Default for VisualizationConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            chart_types: vec![ChartType::BarChart, ChartType::LineChart],
            output_format: vec![OutputFormat::PNG, OutputFormat::HTML],
            export_path: PathBuf::from("./reports"),
        }
    }
}

impl Default for CanaryConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            initial_traffic: 5.0,
            traffic_increment: 10.0,
            stage_duration: 30,
            max_traffic: 50.0,
            success_criteria: Vec::new(),
            failure_criteria: Vec::new(),
        }
    }
}

impl Default for RollbackConfig {
    fn default() -> Self {
        Self {
            auto_rollback_enabled: true,
            require_approval: false,
            strategy: RollbackStrategy::Immediate,
            preserve_data: true,
            notifications: NotificationConfig::default(),
        }
    }
}

impl Default for PerformanceTrackingConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            metrics: Vec::new(),
            sampling_rate: 1.0,
            aggregation_window: 5,
            storage: PerformanceStorageConfig::default(),
        }
    }
}

impl Default for PerformanceStorageConfig {
    fn default() -> Self {
        Self {
            backend: PerformanceStorageBackend::InMemory,
            retention_days: 7,
            batch_size: 100,
            flush_interval: 60,
        }
    }
}

/// Model version information
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelVersion {
    /// Version ID
    pub id: String,
    /// Model name
    pub model_name: String,
    /// Version number (semantic versioning)
    pub version: String,
    /// Version description
    pub description: String,
    /// Model file path
    pub file_path: PathBuf,
    /// Model metadata
    pub metadata: ModelMetadata,
    /// Version status
    pub status: VersionStatus,
    /// Creation timestamp
    pub created_at: DateTime<Utc>,
    /// Last updated timestamp
    pub updated_at: DateTime<Utc>,
    /// Created by
    pub created_by: String,
    /// Model tags
    pub tags: Vec<String>,
    /// Model lineage
    pub lineage: ModelLineage,
    /// Validation results
    pub validation_results: Option<ValidationResults>,
    /// Performance metrics
    pub performance_metrics: HashMap<String, f64>,
    /// Deployment status
    pub deployment_status: DeploymentStatus,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelMetadata {
    /// Model type
    pub model_type: String,
    /// Model format
    pub format: String,
    /// Model size in bytes
    pub size_bytes: u64,
    /// Model checksum
    pub checksum: String,
    /// Training dataset
    pub training_dataset: Option<String>,
    /// Training parameters
    pub training_params: HashMap<String, serde_json::Value>,
    /// Model architecture
    pub architecture: Option<String>,
    /// Framework used
    pub framework: Option<String>,
    /// Framework version
    pub framework_version: Option<String>,
    /// Custom metadata
    pub custom: HashMap<String, serde_json::Value>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum VersionStatus {
    Draft,
    Validating,
    Valid,
    Invalid,
    Staging,
    Production,
    Deprecated,
    Archived,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelLineage {
    /// Parent version ID
    pub parent_version: Option<String>,
    /// Child version IDs
    pub child_versions: Vec<String>,
    /// Training data sources
    pub data_sources: Vec<DataSource>,
    /// Model dependencies
    pub dependencies: Vec<ModelDependency>,
    /// Training environment
    pub training_environment: TrainingEnvironment,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataSource {
    /// Data source ID
    pub id: String,
    /// Data source name
    pub name: String,
    /// Data source type
    pub source_type: String,
    /// Data source URI
    pub uri: String,
    /// Data version/timestamp
    pub version: String,
    /// Data checksum
    pub checksum: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelDependency {
    /// Dependency name
    pub name: String,
    /// Dependency version
    pub version: String,
    /// Dependency type
    pub dependency_type: DependencyType,
    /// Dependency source
    pub source: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DependencyType {
    Library,
    Model,
    Dataset,
    Tool,
    Environment,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrainingEnvironment {
    /// Operating system
    pub os: String,
    /// Python version
    pub python_version: String,
    /// CUDA version
    pub cuda_version: Option<String>,
    /// Hardware information
    pub hardware: HardwareInfo,
    /// Environment variables
    pub env_vars: HashMap<String, String>,
    /// Installed packages
    pub packages: Vec<PackageInfo>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HardwareInfo {
    /// CPU model
    pub cpu_model: String,
    /// Number of CPU cores
    pub cpu_cores: u32,
    /// RAM in GB
    pub ram_gb: u32,
    /// GPU models
    pub gpu_models: Vec<String>,
    /// GPU memory in GB
    pub gpu_memory_gb: Option<u32>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PackageInfo {
    /// Package name
    pub name: String,
    /// Package version
    pub version: String,
    /// Package source
    pub source: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ValidationResults {
    /// Overall validation status
    pub status: ValidationStatus,
    /// Test results
    pub test_results: Vec<TestResult>,
    /// Benchmark results
    pub benchmark_results: Vec<BenchmarkResult>,
    /// Data validation results
    pub data_validation: DataValidationResult,
    /// Validation timestamp
    pub validated_at: DateTime<Utc>,
    /// Validation duration
    pub duration_seconds: u64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ValidationStatus {
    Passed,
    Failed,
    Warning,
    Skipped,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TestResult {
    /// Test name
    pub name: String,
    /// Test status
    pub status: ValidationStatus,
    /// Test message
    pub message: String,
    /// Test duration
    pub duration_seconds: f64,
    /// Test details
    pub details: serde_json::Value,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BenchmarkResult {
    /// Benchmark name
    pub name: String,
    /// Metric value
    pub value: f64,
    /// Expected threshold
    pub threshold: f64,
    /// Status
    pub status: ValidationStatus,
    /// Unit of measurement
    pub unit: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataValidationResult {
    /// Schema validation status
    pub schema_status: ValidationStatus,
    /// Quality check results
    pub quality_results: Vec<QualityCheckResult>,
    /// Statistical validation results
    pub statistical_results: StatisticalValidationResult,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityCheckResult {
    /// Check name
    pub name: String,
    /// Check status
    pub status: ValidationStatus,
    /// Check details
    pub details: serde_json::Value,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StatisticalValidationResult {
    /// Data drift detected
    pub data_drift_detected: bool,
    /// Feature drift detected
    pub feature_drift_detected: bool,
    /// Distribution changes
    pub distribution_changes: Vec<DistributionChange>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DistributionChange {
    /// Feature name
    pub feature: String,
    /// Change type
    pub change_type: String,
    /// Significance level
    pub significance: f64,
    /// Effect size
    pub effect_size: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeploymentStatus {
    /// Current deployment stage
    pub stage: DeploymentStage,
    /// Traffic allocation percentage
    pub traffic_percentage: f64,
    /// Deployment timestamp
    pub deployed_at: Option<DateTime<Utc>>,
    /// Deployment environment
    pub environment: String,
    /// Health status
    pub health_status: HealthStatus,
    /// Performance metrics
    pub metrics: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DeploymentStage {
    NotDeployed,
    Canary,
    Staging,
    Production,
    Rollback,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum HealthStatus {
    Healthy,
    Warning,
    Unhealthy,
    Unknown,
}

/// A/B experiment definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ABExperiment {
    /// Experiment ID
    pub id: String,
    /// Experiment name
    pub name: String,
    /// Experiment description
    pub description: String,
    /// Experiment status
    pub status: ExperimentStatus,
    /// Model variants
    pub variants: Vec<ExperimentVariant>,
    /// Traffic allocation
    pub traffic_allocation: TrafficAllocation,
    /// Success metrics
    pub success_metrics: Vec<String>,
    /// Experiment duration
    pub duration_days: u32,
    /// Start date
    pub start_date: DateTime<Utc>,
    /// End date
    pub end_date: Option<DateTime<Utc>>,
    /// Created by
    pub created_by: String,
    /// Experiment configuration
    pub config: ExperimentConfig,
    /// Results
    pub results: Option<ExperimentResults>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ExperimentStatus {
    Draft,
    Running,
    Paused,
    Completed,
    Cancelled,
    Failed,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExperimentVariant {
    /// Variant ID
    pub id: String,
    /// Variant name
    pub name: String,
    /// Model version ID
    pub model_version_id: String,
    /// Traffic percentage
    pub traffic_percentage: f64,
    /// Variant description
    pub description: String,
    /// Configuration overrides
    pub config_overrides: HashMap<String, serde_json::Value>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrafficAllocation {
    /// Allocation strategy
    pub strategy: AllocationStrategy,
    /// Allocation configuration
    pub config: serde_json::Value,
    /// Sticky sessions
    pub sticky_sessions: bool,
    /// Session duration in minutes
    pub session_duration_minutes: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExperimentConfig {
    /// Minimum sample size per variant
    pub min_sample_size: u32,
    /// Significance level
    pub significance_level: f64,
    /// Power threshold
    pub power_threshold: f64,
    /// Early stopping enabled
    pub early_stopping: bool,
    /// Early stopping configuration
    pub early_stopping_config: EarlyStoppingConfig,
    /// Statistical test type
    pub statistical_test: StatisticalTestType,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EarlyStoppingConfig {
    /// Minimum runtime before early stopping
    pub min_runtime_hours: u32,
    /// Check interval in hours
    pub check_interval_hours: u32,
    /// Confidence level for early stopping
    pub confidence_level: f64,
    /// Minimum effect size
    pub min_effect_size: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExperimentResults {
    /// Overall winner
    pub winner: Option<String>,
    /// Confidence level
    pub confidence: f64,
    /// Statistical significance
    pub statistical_significance: bool,
    /// Practical significance
    pub practical_significance: bool,
    /// Variant results
    pub variant_results: HashMap<String, VariantResult>,
    /// Statistical test results
    pub statistical_tests: Vec<StatisticalTestResult>,
    /// Analysis completion date
    pub analyzed_at: DateTime<Utc>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct VariantResult {
    /// Variant ID
    pub variant_id: String,
    /// Sample size
    pub sample_size: u32,
    /// Metric results
    pub metrics: HashMap<String, MetricResult>,
    /// Conversion rate
    pub conversion_rate: f64,
    /// Confidence intervals
    pub confidence_intervals: HashMap<String, ConfidenceInterval>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MetricResult {
    /// Metric value
    pub value: f64,
    /// Standard error
    pub standard_error: f64,
    /// Sample size
    pub sample_size: u32,
    /// Metric unit
    pub unit: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConfidenceInterval {
    /// Lower bound
    pub lower: f64,
    /// Upper bound
    pub upper: f64,
    /// Confidence level
    pub confidence_level: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StatisticalTestResult {
    /// Test name
    pub test_name: String,
    /// Test statistic
    pub test_statistic: f64,
    /// P-value
    pub p_value: f64,
    /// Effect size
    pub effect_size: f64,
    /// Critical value
    pub critical_value: f64,
    /// Degrees of freedom
    pub degrees_of_freedom: Option<u32>,
}

/// Model versioning system
pub struct ModelVersioningSystem {
    config: ModelVersioningConfig,
    versions: Arc<RwLock<HashMap<String, ModelVersion>>>,
    experiments: Arc<RwLock<HashMap<String, ABExperiment>>>,
    version_storage: Arc<dyn VersionStorage>,
    experiment_tracker: Arc<dyn ExperimentTracker>,
}

pub trait VersionStorage: Send + Sync {
    fn store_version(&self, version: &ModelVersion) -> Result<()>;
    fn load_version(&self, version_id: &str) -> Result<ModelVersion>;
    fn list_versions(&self, model_name: &str) -> Result<Vec<ModelVersion>>;
    fn delete_version(&self, version_id: &str) -> Result<()>;
    fn get_latest_version(&self, model_name: &str) -> Result<Option<ModelVersion>>;
}

pub trait ExperimentTracker: Send + Sync {
    fn start_experiment(&self, experiment: &ABExperiment) -> Result<()>;
    fn track_event(
        &self,
        experiment_id: &str,
        variant_id: &str,
        event: &ExperimentEvent,
    ) -> Result<()>;
    fn get_experiment_results(&self, experiment_id: &str) -> Result<ExperimentResults>;
    fn stop_experiment(&self, experiment_id: &str) -> Result<()>;
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExperimentEvent {
    /// Event ID
    pub id: String,
    /// Event type
    pub event_type: String,
    /// Event timestamp
    pub timestamp: DateTime<Utc>,
    /// User ID
    pub user_id: Option<String>,
    /// Session ID
    pub session_id: Option<String>,
    /// Event properties
    pub properties: HashMap<String, serde_json::Value>,
    /// Metric values
    pub metrics: HashMap<String, f64>,
}

impl ModelVersioningSystem {
    pub async fn new(
        config: ModelVersioningConfig,
        version_storage: Arc<dyn VersionStorage>,
        experiment_tracker: Arc<dyn ExperimentTracker>,
    ) -> Result<Self> {
        Ok(Self {
            config,
            versions: Arc::new(RwLock::new(HashMap::new())),
            experiments: Arc::new(RwLock::new(HashMap::new())),
            version_storage,
            experiment_tracker,
        })
    }

    /// Create a new model version
    pub async fn create_version(
        &self,
        model_name: &str,
        version: &str,
        description: &str,
        file_path: PathBuf,
        metadata: ModelMetadata,
        created_by: &str,
    ) -> Result<String> {
        let version_id = Uuid::new_v4().to_string();
        let now = Utc::now();

        let model_version = ModelVersion {
            id: version_id.clone(),
            model_name: model_name.to_string(),
            version: version.to_string(),
            description: description.to_string(),
            file_path,
            metadata,
            status: VersionStatus::Draft,
            created_at: now,
            updated_at: now,
            created_by: created_by.to_string(),
            tags: Vec::new(),
            lineage: ModelLineage {
                parent_version: None,
                child_versions: Vec::new(),
                data_sources: Vec::new(),
                dependencies: Vec::new(),
                training_environment: TrainingEnvironment {
                    os: std::env::consts::OS.to_string(),
                    python_version: "3.8".to_string(),
                    cuda_version: None,
                    hardware: HardwareInfo {
                        cpu_model: "Unknown".to_string(),
                        cpu_cores: 1,
                        ram_gb: 1,
                        gpu_models: Vec::new(),
                        gpu_memory_gb: None,
                    },
                    env_vars: HashMap::new(),
                    packages: Vec::new(),
                },
            },
            validation_results: None,
            performance_metrics: HashMap::new(),
            deployment_status: DeploymentStatus {
                stage: DeploymentStage::NotDeployed,
                traffic_percentage: 0.0,
                deployed_at: None,
                environment: "none".to_string(),
                health_status: HealthStatus::Unknown,
                metrics: HashMap::new(),
            },
        };

        // Store in storage backend
        self.version_storage.store_version(&model_version)?;

        // Store in memory
        let mut versions = self.versions.write().await;
        versions.insert(version_id.clone(), model_version);

        info!(
            "Created model version: {} for model: {}",
            version, model_name
        );
        Ok(version_id)
    }

    /// Validate a model version
    pub async fn validate_version(&self, version_id: &str) -> Result<ValidationResults> {
        let mut versions = self.versions.write().await;
        let version = versions
            .get_mut(version_id)
            .ok_or_else(|| anyhow::anyhow!("Version not found: {}", version_id))?;

        version.status = VersionStatus::Validating;

        // Perform validation tests
        let test_results = Vec::new();
        let benchmark_results = Vec::new();

        // Run configured validation tests
        // TODO: Add validation tests configuration to ModelVersioningConfig
        // for test in &self.config.validation.tests {
        //     let result = self.run_validation_test(version, test).await?;
        //     test_results.push(result);
        // }

        // Run performance benchmarks
        // TODO: Add benchmarks configuration to ModelVersioningConfig
        // for benchmark in &self.config.validation.benchmarks {
        //     let result = self.run_benchmark(version, benchmark).await?;
        //     benchmark_results.push(result);
        // }

        // Data validation
        let data_validation = self.validate_data(version).await?;

        let overall_status = if test_results.is_empty() && benchmark_results.is_empty() {
            // No tests configured, consider as passed for now
            ValidationStatus::Passed
        } else {
            // TODO: Implement proper validation once test configurations are added
            ValidationStatus::Passed
        };

        let validation_results = ValidationResults {
            status: overall_status.clone(),
            test_results,
            benchmark_results,
            data_validation,
            validated_at: Utc::now(),
            duration_seconds: 30, // Mock duration
        };

        version.validation_results = Some(validation_results.clone());
        version.status = if matches!(overall_status, ValidationStatus::Passed) {
            VersionStatus::Valid
        } else {
            VersionStatus::Invalid
        };

        Ok(validation_results)
    }

    async fn run_validation_test(
        &self,
        _version: &ModelVersion,
        test: &ValidationTest,
    ) -> Result<TestResult> {
        info!("Running validation test: {}", test.name);

        // Mock test execution
        tokio::time::sleep(tokio::time::Duration::from_millis(100)).await;

        Ok(TestResult {
            name: test.name.clone(),
            status: ValidationStatus::Passed,
            message: "Test passed".to_string(),
            duration_seconds: 0.1,
            details: serde_json::json!({"test_type": test.test_type}),
        })
    }

    async fn run_benchmark(
        &self,
        _version: &ModelVersion,
        benchmark: &PerformanceBenchmark,
    ) -> Result<BenchmarkResult> {
        info!("Running benchmark: {}", benchmark.name);

        // Mock benchmark execution
        tokio::time::sleep(tokio::time::Duration::from_millis(200)).await;
        let value = 0.95; // Mock performance value

        Ok(BenchmarkResult {
            name: benchmark.name.clone(),
            value,
            threshold: benchmark.threshold,
            status: if value >= benchmark.threshold {
                ValidationStatus::Passed
            } else {
                ValidationStatus::Failed
            },
            unit: "accuracy".to_string(),
        })
    }

    async fn validate_data(&self, _version: &ModelVersion) -> Result<DataValidationResult> {
        info!("Validating data");

        Ok(DataValidationResult {
            schema_status: ValidationStatus::Passed,
            quality_results: Vec::new(),
            statistical_results: StatisticalValidationResult {
                data_drift_detected: false,
                feature_drift_detected: false,
                distribution_changes: Vec::new(),
            },
        })
    }

    /// Deploy a model version
    pub async fn deploy_version(
        &self,
        version_id: &str,
        environment: &str,
        strategy: RolloutStrategy,
    ) -> Result<()> {
        let mut versions = self.versions.write().await;
        let version = versions
            .get_mut(version_id)
            .ok_or_else(|| anyhow::anyhow!("Version not found: {}", version_id))?;

        // Check if version is valid
        if !matches!(version.status, VersionStatus::Valid) {
            return Err(anyhow::anyhow!("Version is not valid for deployment"));
        }

        match strategy {
            RolloutStrategy::BlueGreen => {
                self.deploy_blue_green(version, environment).await?;
            }
            RolloutStrategy::Canary => {
                self.deploy_canary(version, environment).await?;
            }
            RolloutStrategy::RollingUpdate => {
                self.deploy_rolling(version, environment).await?;
            }
            _ => {
                return Err(anyhow::anyhow!(
                    "Deployment strategy not implemented: {:?}",
                    strategy
                ));
            }
        }

        version.deployment_status.stage = DeploymentStage::Production;
        version.deployment_status.deployed_at = Some(Utc::now());
        version.deployment_status.environment = environment.to_string();
        version.status = VersionStatus::Production;

        info!(
            "Deployed version {} to environment: {}",
            version_id, environment
        );
        Ok(())
    }

    async fn deploy_blue_green(
        &self,
        _version: &mut ModelVersion,
        _environment: &str,
    ) -> Result<()> {
        info!("Executing blue-green deployment");
        // Mock deployment
        tokio::time::sleep(tokio::time::Duration::from_millis(500)).await;
        Ok(())
    }

    async fn deploy_canary(&self, version: &mut ModelVersion, _environment: &str) -> Result<()> {
        info!("Executing canary deployment");

        // Start with canary traffic
        version.deployment_status.stage = DeploymentStage::Canary;
        version.deployment_status.traffic_percentage = self.config.canary.initial_traffic;

        // Mock deployment stages
        for stage in &self.config.rollout.stages {
            info!(
                "Deploying to stage: {} ({}% traffic)",
                stage.name, stage.traffic_percentage
            );
            version.deployment_status.traffic_percentage = stage.traffic_percentage;

            // Wait for stage duration
            tokio::time::sleep(tokio::time::Duration::from_secs(5)).await; // Mock wait

            // Check success criteria
            let stage_successful = self.check_success_criteria(&stage.success_criteria).await?;
            if !stage_successful {
                warn!("Stage {} failed success criteria, rolling back", stage.name);
                return self.rollback_deployment(version).await;
            }
        }

        Ok(())
    }

    async fn deploy_rolling(&self, _version: &mut ModelVersion, _environment: &str) -> Result<()> {
        info!("Executing rolling deployment");
        // Mock deployment
        tokio::time::sleep(tokio::time::Duration::from_millis(500)).await;
        Ok(())
    }

    async fn check_success_criteria(&self, _criteria: &[SuccessCriterion]) -> Result<bool> {
        // Mock criteria checking
        Ok(true)
    }

    async fn rollback_deployment(&self, version: &mut ModelVersion) -> Result<()> {
        warn!("Rolling back deployment for version: {}", version.id);

        version.deployment_status.stage = DeploymentStage::Rollback;
        version.deployment_status.traffic_percentage = 0.0;
        version.status = VersionStatus::Staging;

        // Implement rollback logic based on strategy
        match self.config.rollback.strategy {
            RollbackStrategy::Immediate => {
                info!("Performing immediate rollback");
                // Immediate traffic switch
            }
            RollbackStrategy::Gradual => {
                info!("Performing gradual rollback");
                // Gradually reduce traffic
            }
            RollbackStrategy::Staged => {
                info!("Performing staged rollback");
                // Rollback in stages
            }
        }

        Ok(())
    }

    /// Create A/B experiment
    pub async fn create_experiment(
        &self,
        name: &str,
        description: &str,
        variants: Vec<ExperimentVariant>,
        duration_days: u32,
        created_by: &str,
    ) -> Result<String> {
        let experiment_id = Uuid::new_v4().to_string();
        let now = Utc::now();

        let experiment = ABExperiment {
            id: experiment_id.clone(),
            name: name.to_string(),
            description: description.to_string(),
            status: ExperimentStatus::Draft,
            variants,
            traffic_allocation: TrafficAllocation {
                strategy: self.config.ab_testing.allocation_strategy.clone(),
                config: serde_json::Value::Null,
                sticky_sessions: false,
                session_duration_minutes: 60,
            },
            success_metrics: vec!["conversion_rate".to_string(), "accuracy".to_string()],
            duration_days,
            start_date: now,
            end_date: None,
            created_by: created_by.to_string(),
            config: ExperimentConfig {
                min_sample_size: self.config.ab_testing.min_sample_size,
                significance_level: self.config.ab_testing.significance_level,
                power_threshold: self.config.ab_testing.power_threshold,
                early_stopping: true,
                early_stopping_config: EarlyStoppingConfig {
                    min_runtime_hours: 24,
                    check_interval_hours: 6,
                    confidence_level: 0.95,
                    min_effect_size: 0.05,
                },
                statistical_test: StatisticalTestType::TTest,
            },
            results: None,
        };

        let mut experiments = self.experiments.write().await;
        experiments.insert(experiment_id.clone(), experiment);

        info!("Created A/B experiment: {}", name);
        Ok(experiment_id)
    }

    /// Start A/B experiment
    pub async fn start_experiment(&self, experiment_id: &str) -> Result<()> {
        let mut experiments = self.experiments.write().await;
        let experiment = experiments
            .get_mut(experiment_id)
            .ok_or_else(|| anyhow::anyhow!("Experiment not found: {}", experiment_id))?;

        experiment.status = ExperimentStatus::Running;
        experiment.start_date = Utc::now();

        // Start tracking with experiment tracker
        self.experiment_tracker.start_experiment(experiment)?;

        info!("Started A/B experiment: {}", experiment.name);
        Ok(())
    }

    /// Stop A/B experiment
    pub async fn stop_experiment(&self, experiment_id: &str) -> Result<ExperimentResults> {
        let mut experiments = self.experiments.write().await;
        let experiment = experiments
            .get_mut(experiment_id)
            .ok_or_else(|| anyhow::anyhow!("Experiment not found: {}", experiment_id))?;

        experiment.status = ExperimentStatus::Completed;
        experiment.end_date = Some(Utc::now());

        // Get results from experiment tracker
        let results = self
            .experiment_tracker
            .get_experiment_results(experiment_id)?;
        experiment.results = Some(results.clone());

        // Stop tracking
        self.experiment_tracker.stop_experiment(experiment_id)?;

        info!("Stopped A/B experiment: {}", experiment.name);
        Ok(results)
    }

    /// Compare model versions
    pub async fn compare_versions(&self, version_ids: &[String]) -> Result<VersionComparison> {
        let versions = self.versions.read().await;
        let mut compared_versions = Vec::new();

        for version_id in version_ids {
            if let Some(version) = versions.get(version_id) {
                compared_versions.push(version.clone());
            } else {
                return Err(anyhow::anyhow!("Version not found: {}", version_id));
            }
        }

        let comparison = VersionComparison {
            versions: compared_versions,
            metrics_comparison: HashMap::new(), // Would be populated with actual metrics
            statistical_tests: Vec::new(),      // Would contain statistical test results
            recommendation: "Version A shows better performance".to_string(),
            confidence_level: 0.95,
            compared_at: Utc::now(),
        };

        Ok(comparison)
    }

    /// Get version status
    pub async fn get_version_status(&self, version_id: &str) -> Result<ModelVersion> {
        let versions = self.versions.read().await;
        versions
            .get(version_id)
            .cloned()
            .ok_or_else(|| anyhow::anyhow!("Version not found: {}", version_id))
    }

    /// List all versions for a model
    pub async fn list_versions(&self, model_name: &str) -> Result<Vec<ModelVersion>> {
        let versions = self.versions.read().await;
        let model_versions: Vec<ModelVersion> = versions
            .values()
            .filter(|v| v.model_name == model_name)
            .cloned()
            .collect();

        Ok(model_versions)
    }

    /// Get experiment status
    pub async fn get_experiment_status(&self, experiment_id: &str) -> Result<ABExperiment> {
        let experiments = self.experiments.read().await;
        experiments
            .get(experiment_id)
            .cloned()
            .ok_or_else(|| anyhow::anyhow!("Experiment not found: {}", experiment_id))
    }

    /// List all experiments
    pub async fn list_experiments(&self) -> Result<Vec<ABExperiment>> {
        let experiments = self.experiments.read().await;
        Ok(experiments.values().cloned().collect())
    }
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct VersionComparison {
    pub versions: Vec<ModelVersion>,
    pub metrics_comparison: HashMap<String, Vec<f64>>,
    pub statistical_tests: Vec<StatisticalTestResult>,
    pub recommendation: String,
    pub confidence_level: f64,
    pub compared_at: DateTime<Utc>,
}

/// File system version storage implementation
pub struct FileSystemVersionStorage {
    base_path: PathBuf,
}

impl FileSystemVersionStorage {
    pub fn new(base_path: PathBuf) -> Self {
        std::fs::create_dir_all(&base_path).ok();
        Self { base_path }
    }

    fn get_version_path(&self, version_id: &str) -> PathBuf {
        self.base_path.join(format!("{}.json", version_id))
    }
}

impl VersionStorage for FileSystemVersionStorage {
    fn store_version(&self, version: &ModelVersion) -> Result<()> {
        let path = self.get_version_path(&version.id);
        let json = serde_json::to_string_pretty(version)?;
        std::fs::write(path, json)?;
        Ok(())
    }

    fn load_version(&self, version_id: &str) -> Result<ModelVersion> {
        let path = self.get_version_path(version_id);
        let json = std::fs::read_to_string(path)?;
        let version: ModelVersion = serde_json::from_str(&json)?;
        Ok(version)
    }

    fn list_versions(&self, model_name: &str) -> Result<Vec<ModelVersion>> {
        let mut versions = Vec::new();

        for entry in std::fs::read_dir(&self.base_path)? {
            let entry = entry?;
            if entry.path().extension().and_then(|s| s.to_str()) == Some("json") {
                if let Ok(version) =
                    self.load_version(&entry.file_name().to_string_lossy().replace(".json", ""))
                {
                    if version.model_name == model_name {
                        versions.push(version);
                    }
                }
            }
        }

        Ok(versions)
    }

    fn delete_version(&self, version_id: &str) -> Result<()> {
        let path = self.get_version_path(version_id);
        std::fs::remove_file(path)?;
        Ok(())
    }

    fn get_latest_version(&self, model_name: &str) -> Result<Option<ModelVersion>> {
        let versions = self.list_versions(model_name)?;
        let latest = versions.into_iter().max_by_key(|v| v.created_at);
        Ok(latest)
    }
}

/// In-memory experiment tracker implementation
pub struct InMemoryExperimentTracker {
    events: Arc<RwLock<HashMap<String, Vec<ExperimentEvent>>>>,
}

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

impl InMemoryExperimentTracker {
    pub fn new() -> Self {
        Self {
            events: Arc::new(RwLock::new(HashMap::new())),
        }
    }
}

impl ExperimentTracker for InMemoryExperimentTracker {
    fn start_experiment(&self, experiment: &ABExperiment) -> Result<()> {
        tokio::task::block_in_place(|| {
            tokio::runtime::Handle::current().block_on(async {
                let mut events = self.events.write().await;
                events.insert(experiment.id.clone(), Vec::new());
            })
        });
        Ok(())
    }

    fn track_event(
        &self,
        experiment_id: &str,
        _variant_id: &str,
        event: &ExperimentEvent,
    ) -> Result<()> {
        tokio::task::block_in_place(|| {
            tokio::runtime::Handle::current().block_on(async {
                let mut events = self.events.write().await;
                if let Some(experiment_events) = events.get_mut(experiment_id) {
                    experiment_events.push(event.clone());
                }
            })
        });
        Ok(())
    }

    fn get_experiment_results(&self, experiment_id: &str) -> Result<ExperimentResults> {
        // Mock results generation
        let mut variant_results = HashMap::new();

        variant_results.insert(
            "control".to_string(),
            VariantResult {
                variant_id: "control".to_string(),
                sample_size: 1000,
                metrics: {
                    let mut metrics = HashMap::new();
                    metrics.insert(
                        "conversion_rate".to_string(),
                        MetricResult {
                            value: 0.15,
                            standard_error: 0.01,
                            sample_size: 1000,
                            unit: "rate".to_string(),
                        },
                    );
                    metrics
                },
                conversion_rate: 0.15,
                confidence_intervals: HashMap::new(),
            },
        );

        variant_results.insert(
            "treatment".to_string(),
            VariantResult {
                variant_id: "treatment".to_string(),
                sample_size: 1000,
                metrics: {
                    let mut metrics = HashMap::new();
                    metrics.insert(
                        "conversion_rate".to_string(),
                        MetricResult {
                            value: 0.18,
                            standard_error: 0.01,
                            sample_size: 1000,
                            unit: "rate".to_string(),
                        },
                    );
                    metrics
                },
                conversion_rate: 0.18,
                confidence_intervals: HashMap::new(),
            },
        );

        Ok(ExperimentResults {
            winner: Some("treatment".to_string()),
            confidence: 0.95,
            statistical_significance: true,
            practical_significance: true,
            variant_results,
            statistical_tests: vec![StatisticalTestResult {
                test_name: "t-test".to_string(),
                test_statistic: 2.5,
                p_value: 0.012,
                effect_size: 0.2,
                critical_value: 1.96,
                degrees_of_freedom: Some(1998),
            }],
            analyzed_at: Utc::now(),
        })
    }

    fn stop_experiment(&self, experiment_id: &str) -> Result<()> {
        info!("Stopped tracking for experiment: {}", experiment_id);
        Ok(())
    }
}