amberjs 1.16.1

// 多模型管理系统
// 实现多模型并行和动态切换系统，包括模型注册、智能路由和负载均衡

use std::collections::{BTreeMap, HashMap};
use std::sync::{atomic::Ordering, Arc, Mutex, RwLock};
use std::time::{Duration, Instant};

/// 模型管理器配置
#[derive(Debug, Clone)]
pub struct ManagerConfig {
    pub max_concurrent_models: usize,
    pub model_timeout: Duration,
    pub enable_auto_scaling: bool,
}
/// 模型信息
#[derive(Debug, Clone)]
pub struct ModelInfo {
    pub name: String,
    pub version: String,
    pub model_type: String, // 简化为字符串类型
    pub endpoint: String,
    pub capabilities: Vec<String>,
}
/// 模型注册中心
pub struct ModelRegistry {
    config: ModelRegistryConfig,
    registered_models: Arc<RwLock<HashMap<String, ModelInfo>>>,
    health_status: Arc<RwLock<HashMap<String, bool>>>,
}
/// 模型注册配置
#[derive(Debug, Clone)]
pub struct ModelRegistryConfig {
    pub auto_discovery: bool,
    pub health_check_interval: Duration,
}
/// 模型路由器
pub struct ModelRouter {
    config: RouterConfig,
    model_metrics: Arc<RwLock<HashMap<String, ModelMetrics>>>,
    route_cache: Arc<RwLock<HashMap<String, (String, Instant)>>>,
}
/// 路由器配置
#[derive(Debug, Clone)]
pub struct RouterConfig {
    pub load_balancing: LoadBalancingStrategy,
    pub fallback_enabled: bool,
    pub route_cache_ttl: Duration,
}
/// 负载均衡策略
#[derive(Debug, Clone, PartialEq)]
pub enum LoadBalancingStrategy {
    RoundRobin,
    LeastConnections,
    WeightedRoundRobin,
    LatencyBased,
}
/// 模型指标
#[derive(Debug, Clone)]
pub struct ModelMetrics {
    pub latency: Duration,
    pub throughput: f64,
    pub error_rate: f64,
    pub load: f64,
}
/// 模型管理器
pub struct ModelManager {
    runtime: Arc<tokio::runtime::Runtime>,
    config: ManagerConfig,
    registry: ModelRegistry,
    router: ModelRouter,
    active_models: Arc<RwLock<HashMap<String, ModelHandle>>>,
    model_handles: Arc<Mutex<Vec<ModelHandle>>>,
}
/// 模型句柄
#[derive(Debug, Clone)]
pub struct ModelHandle {
    pub model_name: String,
    pub handle_id: String,
    pub load_time: Instant,
    pub last_used: Instant,
}
impl ModelRegistry {
    /// 创建新的模型注册中心
    pub fn new(config: ModelRegistryConfig) -> Result<Self, String> {
        Ok(ModelRegistry {
            config: config.clone(),
            registered_models: Arc::new(RwLock::new(HashMap::new())),
            health_status: Arc::new(RwLock::new(HashMap::new())),
        })
    }
    /// 注册模型
    pub fn register_model(&mut self, model_info: ModelInfo) -> Result<(), String> {
        let mut models = self.registered_models.write().unwrap();
        models.insert(model_info.name.clone(), model_info.clone());
        // 初始化健康状态
        let mut health = self.health_status.write().unwrap();
        health.insert(model_info.name.clone(), true);
        Ok(())
    }
    /// 发现模型
    pub fn discover_models(&self) -> Result<Vec<String>, String> {
        let models: _ = self.registered_models.read().unwrap();
        Ok(models.keys().cloned().collect())
    }
    /// 获取模型信息
    pub fn get_model_info(&self, model_name: &str) -> Option<ModelInfo> {
        let models: _ = self.registered_models.read().unwrap();
        models.get(model_name).cloned()
    }
    /// 检查模型健康状态
    pub fn is_healthy(&self, model_name: &str) -> bool {
        let health: _ = self.health_status.read().unwrap();
        health.get(model_name).copied().unwrap_or(false)
    }
    /// 标记模型为不健康
    pub fn mark_unhealthy(&self, model_name: &str) {
        let mut health = self.health_status.write().unwrap();
        health.insert(model_name.to_string(), false);
    }
    /// 标记模型为健康
    pub fn mark_healthy(&self, model_name: &str) {
        let mut health = self.health_status.write().unwrap();
        health.insert(model_name.to_string(), true);
    }
}
impl ModelRouter {
    /// 创建新的模型路由器
    pub fn new(config: RouterConfig) -> Result<Self, String> {
        Ok(ModelRouter {
            config: config.clone(),
            model_metrics: Arc::new(RwLock::new(HashMap::new())),
            route_cache: Arc::new(RwLock::new(HashMap::new())),
        })
    }
    /// 添加模型指标
    pub fn add_model(&self, model_name: String, metrics: ModelMetrics) {
        let mut model_metrics = self.model_metrics.write().unwrap();
        model_metrics.insert(model_name, metrics);
    }
    /// 路由请求
    pub fn route_request(&self, capability: String) -> Result<String, String> {
        // 检查缓存
        let cache_key: _ = format!("route:{}", capability);
        if let Some((cached_model, cached_time)) = self.route_cache.read().unwrap().get(&cache_key)
        {
            if cached_time.elapsed() < self.config.route_cache_ttl {
                return Ok(cached_model.clone());
            }
        }
        // 获取可用模型
        let model_metrics: _ = self.model_metrics.read().unwrap();
        let available_models: Vec<_> = model_metrics
            .iter()
            .filter(|(_, metrics)| metrics.load < 0.9 && metrics.error_rate < 0.1)
            .collect();
        if available_models.is_empty() {
            return Err("No available models".to_string());
        }
        // 根据负载均衡策略选择模型
        let model_name: _ = self.select_model(&available_models)?;
        // 更新缓存
        {
            let mut cache = self.route_cache.write().unwrap();
            cache.insert(cache_key, (model_name.clone(), Instant::now()));
        }
        Ok(model_name)
    }
    /// 选择模型 (返回模型名称而不是引用)
    fn select_model(&self, models: &[(&String, &ModelMetrics)]) -> Result<String, String> {
        match self.config.load_balancing {
            LoadBalancingStrategy::RoundRobin => {
                // 简化实现：选择第一个
                Ok(models[0].0.clone())
            }
            LoadBalancingStrategy::LeastConnections => {
                // 选择负载最低的 (简化比较)
                Ok(models
                    .iter()
                    .min_by(|(_, a), (_, b)| {
                        a.load
                            .partial_cmp(&b.load)
                            .unwrap_or(std::cmp::Ordering::Equal)
                    })
                    .map(|(name, _)| (*name).clone())
                    .unwrap())
            }
            LoadBalancingStrategy::WeightedRoundRobin => {
                // 选择吞吐量最高的 (简化比较)
                Ok(models
                    .iter()
                    .max_by(|(_, a), (_, b)| {
                        a.throughput
                            .partial_cmp(&b.throughput)
                            .unwrap_or(std::cmp::Ordering::Equal)
                    })
                    .map(|(name, _)| (*name).clone())
                    .unwrap())
            }
            LoadBalancingStrategy::LatencyBased => {
                // 选择延迟最低的 (简化比较)
                Ok(models
                    .iter()
                    .min_by(|(_, a), (_, b)| a.latency.cmp(&b.latency))
                    .map(|(name, _)| (*name).clone())
                    .unwrap())
            }
        }
    }
    /// 获取路由准确率
    pub fn get_route_accuracy(&self) -> f64 {
        let cache: _ = self.route_cache.read().unwrap();
        if cache.is_empty() {
            return 0.0;
        }
        // 简化实现：基于缓存命中率
        let valid_entries: _ = cache
            .values()
            .filter(|(_, time)| time.elapsed() < self.config.route_cache_ttl)
            .count();
        valid_entries as f64 / cache.len() as f64
    }
}
impl ModelManager {
    /// 创建新的模型管理器
    pub fn new(
        runtime: &Arc<tokio::runtime::Runtime>,
        config: ManagerConfig,
    ) -> Result<Self, String> {
        let registry_config: _ = ModelRegistryConfig {
            auto_discovery: true,
            health_check_interval: Duration::from_secs(30),
        };
        let router_config: _ = RouterConfig {
            load_balancing: LoadBalancingStrategy::RoundRobin,
            fallback_enabled: true,
            route_cache_ttl: Duration::from_secs(60),
        };
        let registry: _ = ModelRegistry::new(registry_config)?;
        let router: _ = ModelRouter::new(router_config)?;
        Ok(ModelManager {
            runtime: runtime.clone(),
            config: config.clone(),
            registry,
            router,
            active_models: Arc::new(RwLock::new(HashMap::new())),
            model_handles: Arc::new(Mutex::new(Vec::new())),
        })
    }
    /// 加载模型
    pub fn load_model(&mut self, model_name: String) -> Result<ModelHandle, String> {
        // 检查并发限制
        {
            let handles: _ = self.model_handles.lock().unwrap();
            if handles.len() >= self.config.max_concurrent_models {
                return Err("Max concurrent models reached".to_string());
            }
        }
        // 检查模型是否已加载
        {
            let active_models: _ = self.active_models.read().unwrap();
            if let Some(handle) = active_models.get(&model_name) {
                return Ok(handle.clone());
            }
        }
        // 模拟模型加载
        let load_start: _ = Instant::now();
        std::thread::sleep(Duration::from_millis(100)); // 模拟加载时间
        let load_time: _ = load_start.elapsed();
        // 创建模型句柄
        let handle: _ = ModelHandle {
            model_name: model_name.clone(),
            handle_id: format!("{}-{}", model_name, load_time.as_nanos()),
            load_time: Instant::now(),
            last_used: Instant::now(),
        };
        // 注册模型指标
        let metrics: _ = ModelMetrics {
            latency: Duration::from_millis(50),
            throughput: 100.0,
            error_rate: 0.01,
            load: 0.0,
        };
        self.router.add_model(model_name.clone(), metrics);
        // 添加到活跃模型
        {
            let mut active_models = self.active_models.write().unwrap();
            active_models.insert(model_name.clone(), handle.clone());
        }
        {
            let mut handles = self.model_handles.lock().unwrap();
            handles.push(handle.clone());
        }
        Ok(handle)
    }
    /// 执行推理
    pub fn inference(&self, handle: &ModelHandle, input: String) -> Result<String, String> {
        // 更新最后使用时间
        {
            let mut active_models = self.active_models.write().unwrap();
            if let Some(model_handle) = active_models.get_mut(&handle.model_name) {
                model_handle.last_used = Instant::now();
            }
        }
        // 模拟推理
        let inference_start: _ = Instant::now();
        std::thread::sleep(Duration::from_millis(10)); // 模拟推理时间
        let inference_time: _ = inference_start.elapsed();
        // 更新模型指标
        let metrics: _ = ModelMetrics {
            latency: inference_time,
            throughput: 100.0,
            error_rate: 0.01,
            load: 0.5,
        };
        self.router.add_model(handle.model_name.clone(), metrics);
        Ok(format!("Inference result for: {}", input))
    }
    /// 获取模型指标
    pub fn get_model_metrics(&self, model_name: &str) -> Result<ModelMetrics, String> {
        let model_metrics: _ = self.router.model_metrics.read().unwrap();
        if let Some(metrics) = model_metrics.get(model_name) {
            Ok(metrics.clone())
        } else {
            Err("Model not found".to_string())
        }
    }
    /// 清理空闲模型
    pub fn cleanup_idle_models(&self) {
        let now: _ = Instant::now();
        let timeout: _ = self.config.model_timeout;
        let mut to_remove = Vec::new();
        {
            let active_models: _ = self.active_models.read().unwrap();
            for (model_name, handle) in active_models.iter() {
                if now.duration_since(handle.last_used) > timeout {
                    to_remove.push(model_name.clone());
                }
            }
        }
        for model_name in to_remove {
            self.unload_model(&model_name);
        }
    }
    /// 卸载模型
    pub fn unload_model(&self, model_name: &str) {
        // 从活跃模型中移除
        {
            let mut active_models = self.active_models.write().unwrap();
            active_models.remove(model_name);
        }
        // 从句柄列表中移除
        {
            let mut handles = self.model_handles.lock().unwrap();
            handles.retain(|h| h.model_name != model_name);
        }
        // 标记为不健康
        self.registry.mark_unhealthy(model_name);
    }
    /// 强制清理
    pub fn force_cleanup(&self) {
        let mut active_models = self.active_models.write().unwrap();
        active_models.clear();
        let mut handles = self.model_handles.lock().unwrap();
        handles.clear();
    }
    /// 注册模型到管理器
    pub fn register_model(&mut self, model_info: ModelInfo) -> Result<(), String> {
        self.registry.register_model(model_info)
    }
    /// 路由请求
    pub fn route_request(&self, capability: String) -> Result<String, String> {
        self.router.route_request(capability)
    }
}
#[cfg(test)]
mod tests {
    #[test]
    fn test_model_registry_creation() {
        let config: _ = ModelRegistryConfig {
            auto_discovery: true,
            health_check_interval: Duration::from_secs(30),
        };
        let registry: _ = ModelRegistry::new(config);
        assert!(registry.is_ok());
    }
    #[test]
    fn test_model_registration() {
        let mut registry = ModelRegistry::new(ModelRegistryConfig {
            auto_discovery: true,
            health_check_interval: Duration::from_secs(30),
        })
        .unwrap();
        let model_info: _ = ModelInfo {
            name: "test-model".to_string(),
            version: "1.0".to_string(),
            model_type: "LanguageModel".to_string(), // 简化为字符串
            endpoint: "http://localhost:8080".to_string(),
            capabilities: vec!["text-generation".to_string()],
        };
        let result: _ = registry.register_model(model_info);
        assert!(result.is_ok());
    }
    #[test]
    fn test_model_router_creation() {
        let config: _ = RouterConfig {
            load_balancing: LoadBalancingStrategy::RoundRobin,
            fallback_enabled: true,
            route_cache_ttl: Duration::from_secs(60),
        };
        let router: _ = ModelRouter::new(config);
        assert!(router.is_ok());
    }
    #[test]
    fn test_intelligent_routing() {
        let router: _ = ModelRouter::new(RouterConfig {
            load_balancing: LoadBalancingStrategy::LatencyBased,
            fallback_enabled: true,
            route_cache_ttl: Duration::from_secs(60),
        })
        .unwrap();
        router.add_model(
            "model-a".to_string(),
            ModelMetrics {
                latency: Duration::from_millis(50),
                throughput: 100.0,
                error_rate: 0.01,
                load: 0.3,
            },
        );
        router.add_model(
            "model-b".to_string(),
            ModelMetrics {
                latency: Duration::from_millis(80),
                throughput: 150.0,
                error_rate: 0.02,
                load: 0.5,
            },
        );
        let selected: _ = router.route_request("text-generation".to_string());
        assert!(selected.is_ok());
        assert_eq!(selected.unwrap(), "model-a".to_string());
    }
    #[test]
    fn test_model_manager_creation() {
        let runtime: _ = Arc::new(std::sync::Mutex::new(tokio::runtime::Runtime::new()).unwrap());
        let config: _ = ManagerConfig {
            max_concurrent_models: 10,
            model_timeout: Duration::from_secs(300),
            enable_auto_scaling: true,
        };
        let manager: _ = ModelManager::new(&runtime, config);
        assert!(manager.is_ok());
    }
    #[test]
    fn test_model_loading() {
        let runtime: _ = Arc::new(std::sync::Mutex::new(tokio::runtime::Runtime::new()).unwrap());
        let config: _ = ManagerConfig {
            max_concurrent_models: 10,
            model_timeout: Duration::from_secs(300),
            enable_auto_scaling: true,
        };
        let mut manager = ModelManager::new(&runtime, config).unwrap();
        let handle: _ = manager.load_model("test-model".to_string());
        assert!(handle.is_ok());
    }
    #[test]
    fn test_inference() {
        let runtime: _ = Arc::new(std::sync::Mutex::new(tokio::runtime::Runtime::new()).unwrap());
        let config: _ = ManagerConfig {
            max_concurrent_models: 10,
            model_timeout: Duration::from_secs(300),
            enable_auto_scaling: true,
        };
        let mut manager = ModelManager::new(&runtime, config).unwrap();
        let handle: _ = manager.load_model("test-model".to_string()).unwrap();
        let result: _ = manager.inference(&handle, "Test input".to_string());
        assert!(result.is_ok());
        assert!(result.unwrap().contains("Test input"));
    }
    #[test]
    fn test_model_cleanup() {
        let runtime: _ = Arc::new(std::sync::Mutex::new(tokio::runtime::Runtime::new()).unwrap());
        let config: _ = ManagerConfig {
            max_concurrent_models: 10,
            model_timeout: Duration::from_millis(100), // 短超时
            enable_auto_scaling: true,
        };
        let mut manager = ModelManager::new(&runtime, config).unwrap();
        // 加载模型
        manager.load_model("test-model".to_string()).unwrap();
        // 等待超时
        std::thread::sleep(Duration::from_millis(200));
        // 清理空闲模型
        manager.cleanup_idle_models();
        // 验证模型已清理
        let active_models: _ = manager.active_models.read().unwrap();
        assert!(!active_models.contains_key("test-model"));
    }
}