use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::collections::HashSet;
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct V8OptimizationConfig {
pub initial_heap_size: usize,
pub max_heap_size: usize,
pub heap_size_limit: usize,
pub max_old_space_size: usize,
pub max_young_space_size: usize,
pub optimization_flags: Vec<OptimizationFlag>,
}
impl V8OptimizationConfig {
pub fn aggressive() -> Self {
Self {
initial_heap_size: 64 * 1024 * 1024, max_heap_size: 1024 * 1024 * 1024, heap_size_limit: 2 * 1024 * 1024 * 1024, max_old_space_size: 512 * 1024 * 1024, max_young_space_size: 256 * 1024 * 1024, optimization_flags: vec![
OptimizationFlag::InlineFunctions,
OptimizationFlag::DeadCodeElimination,
OptimizationFlag::EscapeAnalysis,
OptimizationFlag::HotPathOptimization,
OptimizationFlag::AggressiveInlining,
],
}
}
pub fn is_valid(&self) -> bool {
self.initial_heap_size > 0
&& self.max_heap_size >= self.initial_heap_size
&& self.heap_size_limit >= self.max_heap_size
&& self.max_old_space_size <= self.max_heap_size
&& self.max_young_space_size <= self.max_heap_size
}
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OptimizationFlag {
InlineFunctions,
DeadCodeElimination,
EscapeAnalysis,
HotPathOptimization,
AggressiveInlining,
LoopUnrolling,
ConstantFolding,
BranchOptimization,
}
#[derive(Debug)]
pub struct HotPathOptimizer {
hot_paths: HashMap<String, HotPathInfo>,
execution_counters: HashMap<String, u64>,
optimization_threshold: u64,
}
#[derive(Debug, Clone)]
struct HotPathInfo {
pub path_name: String,
pub execution_count: u64,
pub first_seen: Instant,
pub last_optimized: Option<Instant>,
pub optimization_level: OptimizationLevel,
}
impl HotPathOptimizer {
pub fn new() -> Self {
Self {
hot_paths: HashMap::new(),
execution_counters: HashMap::new(),
optimization_threshold: 1000, }
}
pub fn mark_hot_path(&mut self, path_name: &str) {
let count: _ = self.execution_counters.entry(path_name.to_string()).or_insert(0);
*count += 1;
if *count >= self.optimization_threshold {
let info: _ = self.hot_paths.entry(path_name.to_string()).or_insert(HotPathInfo {
path_name: path_name.to_string(),
execution_count: *count,
first_seen: Instant::now(),
last_optimized: None,
optimization_level: OptimizationLevel::None,
});
info.execution_count = *count;
info.optimization_level = OptimizationLevel::Aggressive;
}
}
pub fn get_hot_paths(&self) -> Vec<&HotPathInfo> {
self.hot_paths.values().collect()
}
pub fn optimize_hot_paths(&mut self) -> usize {
let mut optimized_count = 0;
for info in self.hot_paths.values_mut() {
info.last_optimized = Some(Instant::now());
optimized_count += 1;
}
optimized_count
}
pub fn get_stats(&self) -> HotPathStats {
HotPathStats {
total_hot_paths: self.hot_paths.len(),
total_executions: self.execution_counters.values().sum(),
avg_executions: if self.execution_counters.is_empty() {
0.0
} else {
self.execution_counters.values().sum::<u64>() as f64 / self.execution_counters.len() as f64
},
}
}
}
#[derive(Debug, Clone)]
pub struct HotPathStats {
pub total_hot_paths: usize,
pub total_executions: u64,
pub avg_executions: f64,
}
#[derive(Debug)]
pub struct FunctionInliner {
max_inline_depth: usize,
inline_candidates: HashMap<String, InlineCandidate>,
inlined_functions: HashSet<String>,
}
#[derive(Debug, Clone)]
struct InlineCandidate {
pub function_name: String,
pub size: usize,
pub complexity: f64,
pub call_sites: usize,
pub can_inline: bool,
}
impl FunctionInliner {
pub fn new() -> Self {
Self {
max_inline_depth: 50, inline_candidates: HashMap::new(),
inlined_functions: HashSet::new(),
}
}
pub fn inline_functions(&mut self, functions: &[&str]) -> Vec<String> {
let mut inlined = Vec::new();
for func in functions {
let candidate: _ = self.analyze_function(func);
if candidate.can_inline {
let inlined_func: _ = self.perform_inlining(func, &candidate);
inlined.push(inlined_func);
self.inlined_functions.insert(candidate.function_name.clone());
} else {
inlined.push(func.to_string());
}
}
inlined
}
fn analyze_function(&self, func: &str) -> InlineCandidate {
let size: _ = func.len();
let complexity: _ = self.calculate_complexity(func);
let call_sites: _ = self.count_call_sites(func);
let can_inline: _ = size < 256 && complexity < 10.0 && self.max_inline_depth > 0;
InlineCandidate {
function_name: self.extract_function_name(func),
size,
complexity,
call_sites,
can_inline,
}
}
fn perform_inlining(&self, func: &str, candidate: &InlineCandidate) -> String {
if candidate.can_inline {
format!("inline_{}", func)
} else {
func.to_string()
}
}
fn extract_function_name(&self, func: &str) -> String {
if let Some(start) = func.find("function ") {
if let Some(end) = func[start..].find("(") {
return func[start + 9..start + end].trim().to_string();
}
}
"unknown".to_string()
}
fn calculate_complexity(&self, func: &str) -> f64 {
let mut complexity = 1.0;
complexity += func.matches("if").count() as f64 * 2.0;
complexity += func.matches("for").count() as f64 * 3.0;
complexity += func.matches("while").count() as f64 * 3.0;
complexity += func.matches("switch").count() as f64 * 4.0;
complexity
}
fn count_call_sites(&self, func: &str) -> usize {
func.matches('(').count() - func.matches("function").count()
}
}
#[derive(Debug)]
pub struct EscapeAnalyzer {
escape_graph: HashMap<String, EscapeInfo>,
}
#[derive(Debug, Clone)]
struct EscapeInfo {
pub object_name: String,
pub escapes: bool,
pub can_stack_allocate: bool,
pub analysis_time: Instant,
}
impl EscapeAnalyzer {
pub fn new() -> Self {
Self {
escape_graph: HashMap::new(),
}
}
pub fn analyze(&mut self, code: &str) -> bool {
let mut has_escape = false;
let mut can_stack_allocate = true;
if code.contains("return") {
has_escape = true;
}
if code.contains("() =>") || code.contains("function() {") {
can_stack_allocate = false;
}
for line in code.lines() {
if line.contains("let ") || line.contains("const ") || line.contains("var ") {
if let Some(name) = self.extract_variable_name(line) {
self.escape_graph.insert(
name.clone(),
EscapeInfo {
object_name: name,
escapes: has_escape,
can_stack_allocate,
analysis_time: Instant::now(),
},
);
}
}
}
can_stack_allocate
}
fn extract_variable_name(&self, line: &str) -> Option<String> {
if let Some(start) = line.find("let ").or_else(|| line.find("const ")).or_else(|| line.find("var ")) {
let after_keyword: _ = &line[start + 4..];
if let Some(end) = after_keyword.find('=') {
let name: _ = after_keyword[..end].trim();
if name.chars().all(|c| c.is_alphanumeric() || c == '_') {
return Some(name.to_string());
}
}
}
None
}
}
#[derive(Debug)]
pub struct DeadCodeEliminator {
used_functions: HashSet<String>,
used_variables: HashSet<String>,
}
impl DeadCodeEliminator {
pub fn new() -> Self {
Self {
used_functions: HashSet::new(),
used_variables: HashSet::new(),
}
}
pub fn eliminate_dead_code(&mut self, code: &str) -> String {
self.analyze_usage(code);
self.remove_dead_code(code)
}
fn analyze_usage(&mut self, code: &str) {
for line in code.lines() {
if let Some(func_name) = self.extract_function_call(line) {
self.used_functions.insert(func_name);
}
if let Some(var_name) = self.extract_variable_usage(line) {
self.used_variables.insert(var_name);
}
}
}
fn remove_dead_code(&self, code: &str) -> String {
let lines: Vec<&str> = code.lines().collect();
let mut result = Vec::new();
for line in lines {
let trimmed: _ = line.trim();
if trimmed.starts_with("function ") {
if let Some(func_name) = self.extract_function_name(trimmed) {
if self.used_functions.contains(&func_name) {
result.push(line);
}
} else {
result.push(line);
}
} else {
result.push(line);
}
}
result.join("\n")
}
fn extract_function_call(&self, line: &str) -> Option<String> {
if let Some(pos) = line.find('(') {
let before_paren: _ = &line[..pos];
if let Some(space_pos) = before_paren.rfind(' ') {
let func_name: _ = before_paren[space_pos + 1..].trim();
if func_name.chars().all(|c| c.is_alphanumeric() || c == '_') {
return Some(func_name.to_string());
}
}
}
None
}
fn extract_variable_usage(&self, line: &str) -> Option<String> {
if line.contains("console.log") {
return Some("console".to_string());
}
None
}
fn extract_function_name(&self, line: &str) -> Option<String> {
if let Some(start) = line.find("function ") {
if let Some(end) = line[start..].find("(") {
return Some(line[start + 9..start + end].trim().to_string());
}
}
None
}
}
#[derive(Debug)]
pub struct OptimizationPipeline {
hot_path_optimizer: HotPathOptimizer,
function_inliner: FunctionInliner,
escape_analyzer: EscapeAnalyzer,
dead_code_eliminator: DeadCodeEliminator,
optimization_level: OptimizationLevel,
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum OptimizationLevel {
None,
Simple,
Aggressive,
Extreme,
}
impl PartialOrd for OptimizationLevel {
fn partial_cmp(&self, other: &Self) -> Option<std::cmp::Ordering> {
Some(self.cmp(other))
}
}
impl Ord for OptimizationLevel {
fn cmp(&self, other: &Self) -> std::cmp::Ordering {
match (self, other) {
(OptimizationLevel::None, OptimizationLevel::None) => std::cmp::Ordering::Equal,
(OptimizationLevel::None, _) => std::cmp::Ordering::Less,
(OptimizationLevel::Simple, OptimizationLevel::None) => std::cmp::Ordering::Greater,
(OptimizationLevel::Simple, OptimizationLevel::Simple) => std::cmp::Ordering::Equal,
(OptimizationLevel::Simple, OptimizationLevel::Aggressive) => std::cmp::Ordering::Less,
(OptimizationLevel::Simple, OptimizationLevel::Extreme) => std::cmp::Ordering::Less,
(OptimizationLevel::Aggressive, OptimizationLevel::None) => std::cmp::Ordering::Greater,
(OptimizationLevel::Aggressive, OptimizationLevel::Simple) => std::cmp::Ordering::Greater,
(OptimizationLevel::Aggressive, OptimizationLevel::Aggressive) => std::cmp::Ordering::Equal,
(OptimizationLevel::Aggressive, OptimizationLevel::Extreme) => std::cmp::Ordering::Less,
(OptimizationLevel::Extreme, OptimizationLevel::Extreme) => std::cmp::Ordering::Equal,
(OptimizationLevel::Extreme, _) => std::cmp::Ordering::Greater,
}
}
}
impl OptimizationPipeline {
pub fn new() -> Self {
Self {
hot_path_optimizer: HotPathOptimizer::new(),
function_inliner: FunctionInliner::new(),
escape_analyzer: EscapeAnalyzer::new(),
dead_code_eliminator: DeadCodeEliminator::new(),
optimization_level: OptimizationLevel::Simple,
}
}
pub fn set_optimization_level(&mut self, level: OptimizationLevel) {
self.optimization_level = level;
}
pub fn optimize(&mut self, code: &str) -> String {
let mut optimized = code.to_string();
if self.optimization_level >= OptimizationLevel::Simple {
optimized = self.dead_code_eliminator.eliminate_dead_code(&optimized);
}
if self.optimization_level >= OptimizationLevel::Aggressive {
self.hot_path_optimizer.mark_hot_path("main_execution");
self.hot_path_optimizer.optimize_hot_paths();
}
optimized
}
pub fn get_stats(&self) -> OptimizationStats {
OptimizationStats {
hot_paths: self.hot_path_optimizer.get_stats(),
inlined_functions: self.function_inliner.inlined_functions.len(),
dead_code_eliminated: 0, optimization_level: self.optimization_level.clone(),
}
}
}
#[derive(Debug, Clone)]
pub struct OptimizationStats {
pub hot_paths: HotPathStats,
pub inlined_functions: usize,
pub dead_code_eliminated: usize,
pub optimization_level: OptimizationLevel,
}
#[derive(Debug)]
pub struct JITOptimizer {
v8_config: V8OptimizationConfig,
pipeline: OptimizationPipeline,
}
impl JITOptimizer {
pub fn new() -> Self {
Self {
v8_config: V8OptimizationConfig::aggressive(),
pipeline: OptimizationPipeline::new(),
}
}
pub fn set_optimization_level(&mut self, level: OptimizationLevel) {
self.pipeline.set_optimization_level(level.clone());
}
pub fn optimize(&mut self, code: &str) -> String {
self.pipeline.optimize(code)
}
pub fn get_v8_config(&self) -> &V8OptimizationConfig {
&self.v8_config
}
pub fn get_stats(&self) -> JITOptimizationStats {
JITOptimizationStats {
pipeline_stats: self.pipeline.get_stats(),
v8_config_valid: self.v8_config.is_valid(),
}
}
}
#[derive(Debug, Clone)]
pub struct JITOptimizationStats {
pub pipeline_stats: OptimizationStats,
pub v8_config_valid: bool,
}
#[cfg(test)]
mod tests {
use super::*;
use std::collections::{BTreeMap};
use std::time::{Duration, Instant};
use std::sync::atomic::Ordering;
#[test]
fn test_v8_config_aggressive() {
let config: _ = V8OptimizationConfig::aggressive();
assert!(config.is_valid());
assert!(config.optimization_flags.len() >= 3);
}
#[test]
fn test_hot_path_optimizer() {
let mut optimizer = HotPathOptimizer::new();
optimizer.mark_hot_path("critical_loop");
assert_eq!(optimizer.get_stats().total_hot_paths, 0);
for _ in 0..1100 {
optimizer.mark_hot_path("critical_loop");
}
assert_eq!(optimizer.get_stats().total_hot_paths, 1);
}
#[test]
fn test_function_inliner() {
let mut inliner = FunctionInliner::new();
let functions: _ = vec![
"function small() { return 42; }",
"function medium(a) { return small() + a; }",
];
let inlined: _ = inliner.inline_functions(&functions);
assert_eq!(inlined.len(), 2);
}
#[test]
fn test_escape_analyzer() {
let mut analyzer = EscapeAnalyzer::new();
let code: _ = r#"
function createObject() {
let obj: _ = { value: 42 };
return obj;
}
"#;
let has_escape: _ = analyzer.analyze(code);
assert!(has_escape);
}
#[test]
fn test_dead_code_eliminator() {
let mut eliminator = DeadCodeEliminator::new();
let code: _ = r#"
function test() {
let x: _ = 1 + 1;
return x;
}
"#;
let optimized: _ = eliminator.eliminate_dead_code(code);
assert!(optimized.contains("test"));
assert!(optimized.contains("return"));
}
#[test]
fn test_optimization_pipeline() {
let mut pipeline = OptimizationPipeline::new();
let code: _ = r#"
function compute(a, b) {
let result: _ = a + b;
return result;
}
"#;
let optimized: _ = pipeline.optimize(code);
assert!(optimized.contains("compute"));
assert!(optimized.contains("return"));
}
#[test]
fn test_jit_optimizer() {
let mut jit = JITOptimizer::new();
jit.set_optimization_level(OptimizationLevel::Aggressive);
let code: _ = "function test() { let x: _ = 1 + 1; return x; }";
let optimized: _ = jit.optimize(code);
assert!(!optimized.is_empty());
assert!(jit.get_stats().v8_config_valid);
}
}