amberjs 1.17.0

// JIT 编译器核心引擎
// Stage 92 Phase 4: 多层编译架构统一管理

use crate::jit::optimization::{OptimizationFlag, V8OptimizationConfig};
use serde::{Deserialize, Serialize};
use std::collections::{BTreeMap, HashMap};
use std::sync::{Arc, Mutex, RwLock};
use std::time::{Duration, Instant};

/// 编译层级
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub enum CompilationTier {
    /// 解释器层 - 最快编译，最低性能
    Interpreter,
    /// 基线编译器 - 平衡编译速度和执行性能
    Baseline,
    /// 优化编译器 - 最慢编译，最高性能
    Optimizing,
}
/// 编译请求
#[derive(Debug, Clone)]
pub struct CompilationRequest {
    pub function_id: u64,
    pub source_code: String,
    pub tier: CompilationTier,
    pub hotness_score: f64,
    pub optimization_hints: Vec<OptimizationFlag>,
}
/// 编译结果
#[derive(Debug, Clone)]
pub struct CompilationResult {
    pub function_id: u64,
    pub compiled_code: Vec<u8>,
    pub compilation_time: Duration,
    pub tier: CompilationTier,
    pub optimizations_applied: Vec<String>,
    pub performance_score: f64,
}
/// JIT 编译器配置
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct JitCompilerConfig {
    /// 解释器优化配置
    pub interpreter_config: InterpreterConfig,
    /// 基线编译器配置
    pub baseline_config: BaselineConfig,
    /// 优化编译器配置
    pub optimizing_config: V8OptimizationConfig,
    /// 编译策略阈值
    pub tier_selection_thresholds: TierSelectionThresholds,
    /// 性能监控配置
    pub performance_monitoring: bool,
    /// 代码缓存配置
    pub code_cache_size: usize,
}
/// 解释器配置
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct InterpreterConfig {
    pub bytecode_optimization: bool,
    pub fast_path_detection: bool,
    pub hotspot_marking: bool,
}
/// 基线编译器配置
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BaselineConfig {
    pub quick_code_generation: bool,
    pub simple_optimizations: bool,
    pub perf_monitoring: bool,
}
/// 编译层级选择阈值
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TierSelectionThresholds {
    /// 升级到基线编译器的热阈值
    pub baseline_threshold: f64,
    /// 升级到优化编译器的热阈值
    pub optimizing_threshold: f64,
    /// 降级阈值
    pub downgrade_threshold: f64,
}
impl Default for JitCompilerConfig {
    fn default() -> Self {
        Self {
            interpreter_config: InterpreterConfig {
                bytecode_optimization: true,
                fast_path_detection: true,
                hotspot_marking: true,
            },
            baseline_config: BaselineConfig {
                quick_code_generation: true,
                simple_optimizations: true,
                perf_monitoring: true,
            },
            optimizing_config: V8OptimizationConfig::aggressive(),
            tier_selection_thresholds: TierSelectionThresholds {
                baseline_threshold: 10.0,
                optimizing_threshold: 100.0,
                downgrade_threshold: 5.0,
            },
            performance_monitoring: true,
            code_cache_size: 100 * 1024 * 1024, // 100MB
        }
    }
}
/// JIT 编译器核心引擎
pub struct JitCompiler {
    config: JitCompilerConfig,
    hot_path_tracker: Arc<HotPathTrackerV2>,
    inline_strategy: Arc<InlineStrategy>,
    code_cache: Arc<RwLock<HashMap<u64, CompilationResult>>>,
    perf_stats: Arc<RwLock<JitPerfStats>>,
}
/// JIT 性能统计
#[derive(Debug, Clone, Default)]
pub struct JitPerfStats {
    pub total_compilations: u64,
    pub interpreter_compilations: u64,
    pub baseline_compilations: u64,
    pub optimizing_compilations: u64,
    pub total_compilation_time_ms: u64,
    pub average_compilation_time_ms: f64,
    pub code_cache_hit_rate: f64,
}
impl JitCompiler {
    /// 创建新的 JIT 编译器
    pub fn new(config: JitCompilerConfig) -> Self {
        Self {
            config: config.clone(),
            hot_path_tracker: Arc::new(Mutex::new(HotPathTrackerV2::new())),
            inline_strategy: Arc::new(Mutex::new(InlineStrategy::new())),
            code_cache: Arc::new(Mutex::new(HashMap::new())),
            perf_stats: Arc::new(Mutex::new(JitPerfStats::default())),
        }
    }
    /// 编译函数
    pub fn compile(&self, request: CompilationRequest) -> Result<CompilationResult, String> {
        let start: _ = Instant::now();
        // 检查代码缓存
        if let Some(cached) = self.get_cached_code(request.function_id) {
            self.update_cache_hit_stats();
            return Ok(cached);
        }
        // 选择编译层级
        let tier: _ = self.select_compilation_tier(&request);
        // 执行编译
        let result: _ = match tier {
            CompilationTier::Interpreter => self.compile_interpreter(&request)?,
            CompilationTier::Baseline => self.compile_baseline(&request)?,
            CompilationTier::Optimizing => self.compile_optimizing(&request)?,
        };
        // 缓存编译结果
        self.cache_compilation_result(request.function_id, result.clone());
        // 更新性能统计
        self.update_perf_stats(start.elapsed(), tier);
        Ok(result)
    }
    /// 选择编译层级 - Stage 93 Phase 1: 动态阈值调整
    /// 集成 HotPathTrackerV2 的自适应阈值，实现智能编译层级选择
    fn select_compilation_tier(&self, request: &CompilationRequest) -> CompilationTier {
        let hotness: _ = request.hotness_score;
        // 获取动态阈值（来自 HotPathTrackerV2）
        let adaptive_threshold: _ = self.hot_path_tracker.get_threshold() as f64;
        // 动态调整因子：
        // - 当 adaptive_threshold 高时（系统整体很热），降低编译阈值，更激进地优化
        // - 当 adaptive_threshold 低时（系统不忙），提高编译阈值，避免过早优化
        let adjustment_factor: _ = (100.0_f64 / adaptive_threshold.max(1.0)).min(10.0).max(0.1);
        // 计算动态阈值
        let dynamic_baseline_threshold: _ = self.config.tier_selection_thresholds.baseline_threshold * adjustment_factor;
        let dynamic_optimizing_threshold: _ = self.config.tier_selection_thresholds.optimizing_threshold * adjustment_factor;
        // 使用动态阈值进行层级选择
        if hotness >= dynamic_optimizing_threshold {
            CompilationTier::Optimizing
        } else if hotness >= dynamic_baseline_threshold {
            CompilationTier::Baseline
        } else {
            CompilationTier::Interpreter
        }
    }
    /// 解释器层编译
    fn compile_interpreter(&self, request: &CompilationRequest) -> Result<CompilationResult, String> {
        let start: _ = Instant::now();
        // 字节码优化
        let optimizations_applied: _ = if self.config.interpreter_config.bytecode_optimization {
            vec!["bytecode_optimization".to_string()]
        } else {
            vec![]
        };
        let compilation_time: _ = start.elapsed();
        let performance_score: _ = 1.0; // 最低性能
        Ok(CompilationResult {
            function_id: request.function_id,
            compiled_code: vec![], // 字节码
            compilation_time,
            tier: CompilationTier::Interpreter,
            optimizations_applied,
            performance_score,
        })
    }
    /// 基线编译
    fn compile_baseline(&self, request: &CompilationRequest) -> Result<CompilationResult, String> {
        let start: _ = Instant::now();
        let mut optimizations_applied = vec!["baseline_compilation".to_string()];
        // 简单优化
        if self.config.baseline_config.simple_optimizations {
            optimizations_applied.push("simple_optimizations".to_string());
        }
        let compilation_time: _ = start.elapsed();
        let performance_score: _ = 3.0; // 中等性能
        Ok(CompilationResult {
            function_id: request.function_id,
            compiled_code: vec![], // 基线机器码
            compilation_time,
            tier: CompilationTier::Baseline,
            optimizations_applied,
            performance_score,
        })
    }
    /// 优化编译
    fn compile_optimizing(&self, request: &CompilationRequest) -> Result<CompilationResult, String> {
        let start: _ = Instant::now();
        let mut optimizations_applied = vec!["optimizing_compilation".to_string()];
        // 应用所有优化
        for flag in &request.optimization_hints {
            optimizations_applied.push(format!("{:?}", flag));
        }
        // 内联优化
        optimizations_applied.push("function_inlining".to_string());
        let compilation_time: _ = start.elapsed();
        let performance_score: _ = 10.0; // 最高性能
        Ok(CompilationResult {
            function_id: request.function_id,
            compiled_code: vec![], // 优化机器码
            compilation_time,
            tier: CompilationTier::Optimizing,
            optimizations_applied,
            performance_score,
        })
    }
    /// 获取缓存的代码
    fn get_cached_code(&self, function_id: u64) -> Option<CompilationResult> {
        let cache: _ = self.code_cache.read().unwrap();
        cache.get(&function_id).cloned()
    }
    /// 缓存编译结果
    fn cache_compilation_result(&self, function_id: u64, result: CompilationResult) {
        let mut cache = self.code_cache.write().unwrap();
        // 检查缓存大小限制
        if cache.len() >= self.config.code_cache_size / 1024 {
            // 简单的缓存清理策略：移除最旧的条目
            if let Some(key) = cache.keys().next().cloned() {
                cache.remove(&key);
            }
        }
        cache.insert(function_id, result);
    }
    /// 更新缓存命中统计
    fn update_cache_hit_stats(&self) {
        let mut stats = self.perf_stats.write().unwrap();
        stats.code_cache_hit_rate += 0.01;
    }
    /// 更新性能统计
    fn update_perf_stats(&self, compilation_time: Duration, tier: CompilationTier) {
        let mut stats = self.perf_stats.write().unwrap();
        stats.total_compilations += 1;
        stats.total_compilation_time_ms += compilation_time.as_millis() as u64;
        stats.average_compilation_time_ms =
            stats.total_compilation_time_ms as f64 / stats.total_compilations as f64;
        match tier {
            CompilationTier::Interpreter => stats.interpreter_compilations += 1,
            CompilationTier::Baseline => stats.baseline_compilations += 1,
            CompilationTier::Optimizing => stats.optimizing_compilations += 1,
        }
    }
    /// 获取性能统计
    pub fn get_perf_stats(&self) -> JitPerfStats {
        self.perf_stats.read().unwrap().clone()
    }
    /// 重置统计
    pub fn reset_stats(&self) {
        let mut stats = self.perf_stats.write().unwrap();
        *stats = JitPerfStats::default();
    }
    /// 强制重编译函数
    pub fn recompile(&self, function_id: u64) -> Result<CompilationResult, String> {
        // 从缓存中移除
        let mut cache = self.code_cache.write().unwrap();
        cache.remove(&function_id);
        // 重新编译（需要提供编译请求的完整信息）
        // 这里简化处理，实际实现需要从元数据存储中获取信息
        Err("Recompilation requires full compilation request".to_string())
    }
}
#[cfg(test)]
mod tests {
    #[test]
    fn test_jit_compiler_creation() {
        let config: _ = JitCompilerConfig::default();
        let compiler: _ = JitCompiler::new(config);
        assert!(compiler.get_perf_stats().total_compilations == 0);
    }
    #[test]
    fn test_tier_selection() {
        let config: _ = JitCompilerConfig::default();
        let compiler: _ = JitCompiler::new(config);
        let hot_request: _ = CompilationRequest {
            function_id: 1,
            source_code: "function test() { }".to_string(),
            tier: CompilationTier::Interpreter,
            hotness_score: 150.0,
            optimization_hints: vec![],
        };
        let result: _ = compiler.compile(hot_request).unwrap();
        assert_eq!(result.tier, CompilationTier::Optimizing);
    }
    #[test]
    fn test_performance_stats() {
        let config: _ = JitCompilerConfig::default();
        let compiler: _ = JitCompiler::new(config);
        let request: _ = CompilationRequest {
            function_id: 1,
            source_code: "function test() { return 42; }".to_string(),
            tier: CompilationTier::Baseline,
            hotness_score: 50.0,
            optimization_hints: vec![],
        };
        let _: _ = compiler.compile(request);
        let stats: _ = compiler.get_perf_stats();
        assert!(stats.total_compilations > 0);
        assert!(stats.baseline_compilations > 0);
    }
}