// AI 代码生成器
// 提供上下文感知的代码生成、补全和重构功能
use serde::{Deserialize, Serialize};
use std::collections::{BTreeMap, HashMap};
use std::num::NonZeroUsize;
use std::sync::{atomic::Ordering, Arc, RwLock};
use std::time::Duration;
/// 编程语言
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub enum Language {
JavaScript,
TypeScript,
JSX,
TSX,
Python,
Rust,
}
/// 测试类型
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub enum TestType {
Unit,
Integration,
E2E,
}
/// 测试框架
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TestFramework {
Jest,
Mocha,
Vitest,
JestDOM,
}
/// 代码上下文
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CodeContext {
pub language: Language,
pub file_path: Option<String>,
pub surrounding_code: Option<String>,
pub project_info: Option<ProjectInfo>,
pub imports: Vec<String>,
pub functions: Vec<String>,
pub classes: Vec<String>,
}
/// 项目信息
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProjectInfo {
pub name: String,
pub dependencies: Vec<String>,
pub framework: Option<String>,
pub version: Option<String>,
}
/// 生成的代码
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct GeneratedCode {
pub code: String,
pub confidence: f64,
pub language: Language,
pub explanation: Option<String>,
pub suggestions: Vec<CodeSuggestion>,
pub tests: Option<Vec<TestFile>>,
}
/// 代码建议
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CodeSuggestion {
pub title: String,
pub description: String,
pub code: String,
pub confidence: f64,
}
/// 测试文件
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TestFile {
pub path: String,
pub content: String,
pub framework: TestFramework,
}
/// 代码补全
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CodeCompletion {
pub completions: Vec<CompletionItem>,
pub replace_range: (usize, usize),
}
/// 补全项
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompletionItem {
pub text: String,
pub display_text: String,
pub confidence: f64,
pub description: Option<String>,
pub kind: CompletionKind,
pub performance_impact: Option<PerformanceImpact>,
pub context_aware: bool,
}
/// 性能影响评估
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceImpact {
pub estimated_execution_time_ms: f64,
pub memory_overhead_mb: f64,
pub complexity_score: u8,
pub optimization_suggestions: Vec<String>,
}
/// 性能感知配置
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceAwareConfig {
pub enable_performance_analysis: bool,
pub performance_threshold_ms: f64,
pub max_memory_overhead_mb: f64,
pub prefer_performance: bool,
}
impl Default for PerformanceAwareConfig {
fn default() -> Self {
Self {
enable_performance_analysis: true,
performance_threshold_ms: 10.0,
max_memory_overhead_mb: 100.0,
prefer_performance: false,
}
}
}
/// 补全类型
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CompletionKind {
Function,
Class,
Variable,
Keyword,
Snippet,
}
/// 代码重构建议
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RefactorSuggestion {
pub title: String,
pub description: String,
pub original_code: String,
pub refactored_code: String,
pub benefits: Vec<String>,
pub confidence: f64,
}
/// AI 代码生成器
pub struct AICodeGenerator {
model: Arc<dyn AiModel>,
context_cache: Arc<RwLock<ContextCache>>,
code_db: Arc<CodeDatabase>,
performance_config: Arc<RwLock<PerformanceAwareConfig>>,
pattern_analyzer: Arc<PatternAnalyzer>,
}
impl Clone for AICodeGenerator {
fn clone(&self) -> Self {
Self {
model: self.model.clone(),
context_cache: self.context_cache.clone(),
code_db: self.code_db.clone(),
performance_config: self.performance_config.clone(),
pattern_analyzer: self.pattern_analyzer.clone(),
}
}
}
/// AI 模型接口
pub trait AiModel: Send + Sync {
fn generate(
&self,
prompt: &str,
context: &CodeContext,
) -> Result<String, Box<dyn std::error::Error>>;
fn complete(
&self,
partial_code: &str,
position: usize,
context: &CodeContext,
) -> Result<Vec<String>, Box<dyn std::error::Error>>;
fn explain(&self, code: &str) -> Result<String, Box<dyn std::error::Error>>;
}
/// 模拟 AI 模型
#[derive(Debug, Clone)]
pub struct MockAiModel {
pub response_delay_ms: u64,
pub accuracy_rate: f64,
}
impl MockAiModel {
pub fn new(delay_ms: u64, accuracy: f64) -> Self {
Self {
response_delay_ms: delay_ms,
accuracy_rate: accuracy,
}
}
}
impl AiModel for MockAiModel {
fn generate(
&self,
prompt: &str,
context: &CodeContext,
) -> Result<String, Box<dyn std::error::Error>> {
// 模拟 AI 延迟
std::thread::sleep(std::time::Duration::from_millis(self.response_delay_ms));
// 基于语言生成代码
let code: _ = match context.language {
Language::JavaScript => self.generate_javascript(prompt),
Language::TypeScript => self.generate_typescript(prompt),
Language::JSX => self.generate_jsx(prompt),
Language::TSX => self.generate_tsx(prompt),
Language::Python => self.generate_python(prompt),
Language::Rust => self.generate_rust(prompt),
};
Ok(code)
}
fn complete(
&self,
partial_code: &str,
_position: usize,
_context: &CodeContext,
) -> Result<Vec<String>, Box<dyn std::error::Error>> {
std::thread::sleep(std::time::Duration::from_millis(self.response_delay_ms / 2));
let completions: _ = vec![
self.suggest_completion(partial_code),
self.suggest_alternative(partial_code),
];
Ok(completions)
}
fn explain(&self, code: &str) -> Result<String, Box<dyn std::error::Error>> {
std::thread::sleep(std::time::Duration::from_millis(self.response_delay_ms / 3));
Ok(format!(
"这段代码实现了: {}",
code.lines().take(3).collect::<Vec<_>>().join(" ")
))
}
}
impl MockAiModel {
fn generate_javascript(&self, prompt: &str) -> String {
if prompt.contains("function") {
format!(
"function generatedFunction() {{\n // {}\n console.log('Hello World');\n return 'success';\n}}",
prompt
)
} else if prompt.contains("class") {
format!(
"class GeneratedClass {{\n constructor() {{\n // {}\n this.data = [];\n }}\n\n method() {{\n return this.data;\n }}\n}}",
prompt
)
} else if prompt.contains("async") {
format!(
"async function asyncFunction() {{\n // {}\n const result = await fetch('/api/data');\n return result.json();\n}}",
prompt
)
} else {
format!(
"// 基于提示生成的 JavaScript 代码\n// {}\nconst result = processData();\nconsole.log(result);",
prompt
)
}
}
fn generate_typescript(&self, prompt: &str) -> String {
if prompt.contains("interface") {
"interface GeneratedInterface {\n id: number;\n name: string;\n email?: string;\n}"
.to_string()
} else if prompt.contains("type") {
"type GeneratedType = {\n id: number;\n name: string;\n tags: string[];\n};\n\ntype OptionalType = Partial<GeneratedType>;".to_string()
} else if prompt.contains("class") {
"class GeneratedClass<T> {\n private data: T[];\n\n constructor() {\n this.data = [];\n }\n\n add(item: T): void {\n this.data.push(item);\n }\n\n getAll(): T[] {\n return this.data;\n }\n}".to_string()
} else {
format!(
"// 基于提示生成的 TypeScript 代码\n// {}\ninterface Props {{\n title: string;\n}}\n\nconst Component: React.FC<Props> = ({{ title }}) => {{\n return <div>{{title}}</div>;\n}};",
prompt
)
}
}
fn generate_jsx(&self, prompt: &str) -> String {
format!(
"import React from 'react';\n\n// {} 的 React 组件\nexport const GeneratedComponent = () => {{\n return (\n <div className=\"generated-component\">\n <h2>Generated Component</h2>\n <p>基于: {}</p>\n </div>\n );\n}};",
prompt, prompt
)
}
fn generate_tsx(&self, prompt: &str) -> String {
format!(
"import React, {{ useState, useEffect }} from 'react';\n\ninterface Props {{\n title: string;\n data?: any[];\n}}\n\n// {} 的 TypeScript React 组件\nexport const GeneratedComponent: React.FC<Props> = ({{ title, data = [] }}) => {{\n const [state, setState] = useState<number>(0);\n\n useEffect(() => {{\n // 组件挂载时的逻辑\n }}, []);\n\n return (\n <div className=\"generated-component\">\n <h2>{{title}}</h2>\n <p>Data items: {{data.length}}</p>\n </div>\n );\n}};",
prompt
)
}
fn generate_python(&self, prompt: &str) -> String {
format!(
"# {} 的 Python 实现\nclass GeneratedClass:\n def __init__(self):\n self.data = []\n\n def process(self, item):\n # {}\n processed = item.upper() if isinstance(item, str) else item\n self.data.append(processed)\n return processed\n\n def get_data(self):\n return self.data",
prompt, prompt
)
}
fn generate_rust(&self, prompt: &str) -> String {
format!(
"//! {} 的 Rust 实现\n\n#[derive(Debug, Clone)]\npub struct GeneratedStruct {{\n data: Vec<String>,\n}}\n\nimpl GeneratedStruct {{\n pub fn new() -> Self {{\n Self {{\n data: Vec::new(),\n }}\n }}\n\n pub fn add(&mut self, item: String) {{\n // {}\n self.data.push(item);\n }}\n\n pub fn get_all(&self) -> &[String] {{\n &self.data\n }}\n}}",
prompt, prompt
)
}
fn suggest_completion(&self, partial: &str) -> String {
if partial.contains("fun") || partial.contains("func") {
"ction myFunction() {\n // TODO: Implement function\n return null;\n}".to_string()
} else if partial.contains("cla") {
"ss MyClass {\n constructor() {\n // TODO: Initialize class\n }\n}".to_string()
} else if partial.contains("asy") {
"nc function asyncFunction() {\n // TODO: Implement async function\n const result = await fetch('/api');\n return result;\n}".to_string()
} else if partial.contains("imp") {
"ort { something } from 'module';".to_string()
} else {
" // Suggested completion".to_string()
}
}
fn suggest_alternative(&self, partial: &str) -> String {
if partial.contains("fun") {
"const myArrowFunction = () => {\n // TODO: Implement arrow function\n return null;\n};".to_string()
} else if partial.contains("cla") {
"const myObject = {\n // TODO: Define object properties\n property: value,\n};"
.to_string()
} else {
" // Alternative completion".to_string()
}
}
}
/// 模式分析器 - 用于分析代码模式并提供智能补全
#[derive(Debug, Clone)]
pub struct PatternAnalyzer {
common_patterns: Arc<RwLock<Vec<CommonPattern>>>,
language_specific_hints: Arc<RwLock<LanguageHints>>,
}
#[derive(Debug, Clone)]
pub struct CommonPattern {
pub pattern: String,
pub completions: Vec<String>,
pub language: Language,
pub confidence: f64,
}
#[derive(Debug, Clone)]
pub struct LanguageHints {
pub javascript: Vec<PatternHint>,
pub typescript: Vec<PatternHint>,
pub python: Vec<PatternHint>,
pub rust: Vec<PatternHint>,
}
#[derive(Debug, Clone)]
pub struct PatternHint {
pub trigger: String,
pub completion: String,
pub description: String,
pub performance_score: f64,
}
impl PatternAnalyzer {
pub fn new() -> Self {
let common_patterns: _ = vec![
CommonPattern {
pattern: "fun".to_string(),
completions: vec![
"ction myFunction() {\n // TODO: Implement\n}".to_string(),
"ction getData() {\n return data;\n}".to_string(),
],
language: Language::JavaScript,
confidence: 0.95,
},
CommonPattern {
pattern: "asy".to_string(),
completions: vec![
"nc function asyncFunc() {\n const result = await fetch('/api');\n return result;\n}".to_string(),
],
language: Language::JavaScript,
confidence: 0.90,
},
CommonPattern {
pattern: "imp".to_string(),
completions: vec![
"ort { something } from 'module';".to_string(),
"ort something from 'module';".to_string(),
],
language: Language::JavaScript,
confidence: 0.98,
},
CommonPattern {
pattern: "int".to_string(),
completions: vec![
"erface MyInterface {\n id: number;\n name: string;\n}".to_string(),
],
language: Language::TypeScript,
confidence: 0.92,
},
CommonPattern {
pattern: "fn ".to_string(),
completions: vec![
"pub fn function_name() {\n // TODO: Implement\n}".to_string(),
],
language: Language::Rust,
confidence: 0.95,
},
];
let javascript: _ = vec![
PatternHint {
trigger: "for".to_string(),
completion: "for (let i: _ = 0; i < array.length; i++) {\n // TODO\n}".to_string(),
description: "传统 for 循环".to_string(),
performance_score: 0.7,
},
PatternHint {
trigger: "map".to_string(),
completion: ".map(item => {\n // TODO: Transform item\n return transformed;\n})"
.to_string(),
description: "数组映射".to_string(),
performance_score: 0.9,
},
PatternHint {
trigger: "filter".to_string(),
completion:
".filter(item => {\n // TODO: Filter condition\n return condition;\n})"
.to_string(),
description: "数组过滤".to_string(),
performance_score: 0.9,
},
];
let typescript: _ = vec![
PatternHint {
trigger: "interface".to_string(),
completion: "interface MyInterface {\n // TODO: Define properties\n}".to_string(),
description: "TypeScript 接口".to_string(),
performance_score: 1.0,
},
PatternHint {
trigger: "type".to_string(),
completion: "type MyType = {\n // TODO: Define type\n};".to_string(),
description: "TypeScript 类型".to_string(),
performance_score: 1.0,
},
];
let python: _ = vec![
PatternHint {
trigger: "def".to_string(),
completion: "def function_name():\n # TODO: Implement\n pass".to_string(),
description: "Python 函数".to_string(),
performance_score: 1.0,
},
PatternHint {
trigger: "class".to_string(),
completion: "class ClassName:\n def __init__(self):\n # TODO: Initialize\n pass".to_string(),
description: "Python 类".to_string(),
performance_score: 1.0,
},
];
let rust: _ = vec![
PatternHint {
trigger: "fn ".to_string(),
completion:
"pub fn function_name() -> Result<T, E> {\n // TODO: Implement\n Ok(T)\n}"
.to_string(),
description: "Rust 函数".to_string(),
performance_score: 1.0,
},
PatternHint {
trigger: "struct".to_string(),
completion:
"#[derive(Debug)]\npub struct MyStruct {\n // TODO: Define fields\n}"
.to_string(),
description: "Rust 结构体".to_string(),
performance_score: 1.0,
},
];
Self {
common_patterns: Arc::new(RwLock::new(common_patterns)),
language_specific_hints: Arc::new(RwLock::new(LanguageHints {
javascript,
typescript,
python,
rust,
})),
}
}
/// 分析代码片段并返回匹配的补全项
pub async fn analyze_pattern(
&self,
partial_code: &str,
language: &Language,
) -> Vec<CompletionItem> {
let mut items = Vec::new();
// 检查常见模式
let patterns: _ = self.common_patterns.read().await;
for pattern in patterns.iter() {
if pattern.language == *language && partial_code.contains(&pattern.pattern) {
for completion in &pattern.completions {
items.push(CompletionItem {
text: completion.clone(),
display_text: completion.lines().next().unwrap_or("").to_string(),
confidence: pattern.confidence,
description: Some(format!("常见模式: {}", pattern.pattern)),
kind: CompletionKind::Snippet,
performance_impact: Some(
self.estimate_performance_impact(completion, language),
),
context_aware: true,
});
}
}
}
drop(patterns);
// 检查语言特定提示
let hints: _ = self.language_specific_hints.read().await;
let language_hints: _ = match language {
Language::JavaScript => &hints.javascript,
Language::TypeScript => &hints.typescript,
Language::Python => &hints.python,
Language::Rust => &hints.rust,
_ => &Vec::new(),
};
for hint in language_hints {
if partial_code.contains(&hint.trigger) {
items.push(CompletionItem {
text: hint.completion.clone(),
display_text: hint.description.clone(),
confidence: 0.9,
description: Some(hint.description.clone()),
kind: CompletionKind::Snippet,
performance_impact: Some(PerformanceImpact {
estimated_execution_time_ms: 1.0 / hint.performance_score,
memory_overhead_mb: 0.1,
complexity_score: (hint.performance_score * 10.0) as u8,
optimization_suggestions: vec![
"使用缓存优化".to_string(),
"考虑懒加载".to_string(),
],
}),
context_aware: true,
});
}
}
items
}
/// 估算代码性能影响
fn estimate_performance_impact(&self, code: &str, language: &Language) -> PerformanceImpact {
let lines: _ = code.lines().count();
let complexity_score: _ = (lines as f64 / 5.0).min(10.0) as u8;
let (execution_time, memory_overhead) = match language {
Language::JavaScript | Language::TypeScript => {
if code.contains("for") || code.contains("while") {
(5.0, 1.0)
} else if code.contains("map") || code.contains("filter") {
(2.0, 0.5)
} else {
(1.0, 0.1)
}
}
Language::Python => {
if code.contains("for") {
(10.0, 2.0)
} else {
(2.0, 0.5)
}
}
Language::Rust => {
if code.contains("async") {
(3.0, 0.8)
} else {
(0.5, 0.2)
}
}
_ => (1.0, 0.5),
};
PerformanceImpact {
estimated_execution_time_ms: execution_time,
memory_overhead_mb: memory_overhead,
complexity_score,
optimization_suggestions: vec![
"优化循环结构".to_string(),
"使用更高效的数据结构".to_string(),
],
}
}
}
/// 上下文缓存
#[derive(Debug, Clone)]
pub struct ContextCache {
pub cache: Arc<RwLock<lru::LruCache<String, CodeContext>>>,
}
impl ContextCache {
pub fn new(capacity: usize) -> Self {
Self {
cache: Arc::new(RwLock::new(lru::LruCache::new(
std::num::NonZeroUsize::new(capacity)
.unwrap_or(std::num::NonZeroUsize::new(100).unwrap()),
))),
}
}
pub async fn get(&self, key: &str) -> Option<CodeContext> {
let mut cache = self.cache.write().await;
cache.get(key).cloned()
}
pub async fn put(&self, key: String, context: CodeContext) {
let mut cache = self.cache.write().await;
cache.put(key, context);
}
}
/// 代码数据库
#[derive(Debug, Clone)]
pub struct CodeDatabase {
templates: Arc<RwLock<Vec<CodeTemplate>>>,
}
#[derive(Debug, Clone)]
pub struct CodeTemplate {
pub language: Language,
pub pattern: String,
pub template: String,
pub description: String,
}
impl CodeDatabase {
pub fn new() -> Self {
let templates = vec![
CodeTemplate {
language: Language::JavaScript,
pattern: "function.*\\(.*\\)".to_string(),
template: "function $1($2) {\n $0\n}".to_string(),
description: "函数模板".to_string(),
},
CodeTemplate {
language: Language::JavaScript,
pattern: "class.*\\{".to_string(),
template: "class $1 {\n constructor($2) {\n $0\n }\n}".to_string(),
description: "类模板".to_string(),
},
];
Self {
templates: Arc::new(RwLock::new(templates)),
}
}
pub async fn get_template(&self, language: &Language, pattern: &str) -> Option<String> {
let templates: _ = self.templates.read().await;
for template in templates.iter() {
if template.language == *language && pattern.contains(&template.pattern) {
return Some(template.template.clone());
}
}
None
}
}
impl AICodeGenerator {
/// 创建新的 AI 代码生成器
pub fn new(
model: Arc<dyn AiModel>,
context_cache: Arc<RwLock<ContextCache>>,
code_db: Arc<CodeDatabase>,
) -> Self {
Self {
model,
context_cache,
code_db,
performance_config: Arc::new(RwLock::new(PerformanceAwareConfig::default())),
pattern_analyzer: Arc::new(PatternAnalyzer::new()),
}
}
/// 使用默认配置创建生成器
pub fn new_with_defaults() -> Self {
let model: Arc<dyn AiModel> = Arc::new(MockAiModel::new(100, 0.95));
let context_cache = Arc::new(RwLock::new(ContextCache::new(1000)));
let code_db = Arc::new(CodeDatabase::new());
Self::new(model, context_cache, code_db)
}
/// 创建带性能感知的 AI 代码生成器
pub fn new_with_performance_aware(
model: Arc<dyn AiModel>,
context_cache: Arc<RwLock<ContextCache>>,
code_db: Arc<CodeDatabase>,
performance_config: PerformanceAwareConfig,
) -> Self {
Self {
model,
context_cache,
code_db,
performance_config: Arc::new(RwLock::new(performance_config)),
pattern_analyzer: Arc::new(PatternAnalyzer::new()),
}
}
/// 更新性能感知配置
pub async fn update_performance_config(&self, config: PerformanceAwareConfig) {
let mut perf_config = self.performance_config.write().await;
*perf_config = config;
}
/// 获取性能感知配置
pub async fn get_performance_config(&self) -> PerformanceAwareConfig {
let config: _ = self.performance_config.read().await;
config.clone()
}
/// 基于提示词生成代码
pub async fn generate_from_prompt(
&self,
prompt: &str,
language: Language,
context: &CodeContext,
) -> Result<GeneratedCode, Box<dyn std::error::Error>> {
// 1. 增强提示词
let enhanced_prompt: _ = self.enhance_prompt(prompt, context).await?;
// 2. 调用 AI 模型
let raw_output: _ = self.model.generate(&enhanced_prompt, context)?;
// 3. 后处理
let processed: _ = self.post_process(&raw_output, &language)?;
// 4. 生成建议
let suggestions: _ = self.generate_suggestions(&processed, &language)?;
// 5. 生成测试（可选）
let tests: _ = if language == Language::JavaScript || language == Language::TypeScript {
Some(
self.generate_basic_tests(processed.clone(), &language)
.await?,
)
} else {
None
};
let code_to_explain: _ = processed.clone();
Ok(GeneratedCode {
code: processed,
confidence: 0.95,
language,
explanation: Some(self.model.explain(&code_to_explain)?),
suggestions,
tests,
})
}
/// 代码补全 - 增强版，支持性能感知和模式分析
pub async fn complete_code(
&self,
partial_code: &str,
cursor_position: usize,
context: &CodeContext,
) -> Result<CodeCompletion, Box<dyn std::error::Error>> {
// 1. 分析上下文
let context_analysis: _ = self.analyze_context(partial_code, cursor_position, context)?;
// 2. 使用模式分析器获取智能补全
let pattern_completions: _ = self
.pattern_analyzer
.analyze_pattern(partial_code, &context.language)
.await;
// 3. 生成 AI 补全
let ai_completions: _ = self
.model
.complete(partial_code, cursor_position, context)?;
// 4. 处理和合并补全项
let mut completion_items = Vec::new();
// 添加模式分析器生成的补全
for item in pattern_completions {
completion_items.push(item);
}
// 添加 AI 模型生成的补全
for (i, completion) in ai_completions.iter().enumerate() {
let kind: _ = self.detect_completion_kind(completion, partial_code);
let perf_config: _ = self.performance_config.read().await;
// 计算性能影响（如果启用）
let performance_impact: _ = if perf_config.enable_performance_analysis {
Some(self.estimate_ai_completion_performance(completion, &context.language))
} else {
None
};
completion_items.push(CompletionItem {
text: completion.clone(),
display_text: completion.clone(),
confidence: 0.9 - (i as f64 * 0.1),
description: Some(format!(
"AI 推荐的补全 (置信度: {:.0}%)",
(0.9 - (i as f64 * 0.1)) * 100.0
)),
kind,
performance_impact,
context_aware: false,
});
}
// 5. 根据性能和置信度排序
self.sort_completions(&mut completion_items).await;
// 6. 获取替换范围
let replace_range: _ = self.get_replace_range(partial_code, cursor_position);
Ok(CodeCompletion {
completions: completion_items,
replace_range,
})
}
/// 实时代码补全 - 专为快速响应优化
pub async fn complete_code_realtime(
&self,
partial_code: &str,
cursor_position: usize,
context: &CodeContext,
) -> Result<CodeCompletion, Box<dyn std::error::Error>> {
// 快速模式分析（不使用 AI 模型）
let pattern_completions: _ = self
.pattern_analyzer
.analyze_pattern(partial_code, &context.language)
.await;
let replace_range: _ = self.get_replace_range(partial_code, cursor_position);
Ok(CodeCompletion {
completions: pattern_completions,
replace_range,
})
}
/// 性能感知补全排序
async fn sort_completions(&self, completions: &mut Vec<CompletionItem>) {
let perf_config: _ = self.performance_config.read().await;
if perf_config.prefer_performance {
// 按性能优先排序
completions.sort_by(|a, b| {
let score_a: _ = self.calculate_performance_score(a, &perf_config);
let score_b: _ = self.calculate_performance_score(b, &perf_config);
score_b
.partial_cmp(&score_a)
.unwrap_or(std::cmp::Ordering::Equal)
});
} else {
// 按置信度排序
completions.sort_by(|a, b| {
b.confidence
.partial_cmp(&a.confidence)
.unwrap_or(std::cmp::Ordering::Equal)
});
}
}
/// 计算性能评分
fn calculate_performance_score(
&self,
item: &CompletionItem,
config: &PerformanceAwareConfig,
) -> f64 {
let confidence_score: _ = item.confidence;
let performance_score: _ = if let Some(ref impact) = item.performance_impact {
// 性能分数 = 1 / (1 + 执行时间 + 内存开销)
1.0 / (1.0 + impact.estimated_execution_time_ms + impact.memory_overhead_mb)
} else {
0.5
};
// 综合评分
confidence_score * 0.7 + performance_score * 0.3
}
/// 估算 AI 补全的性能影响
fn estimate_ai_completion_performance(
&self,
completion: &str,
language: &Language,
) -> PerformanceImpact {
let lines: _ = completion.lines().count();
let complexity_score: _ = (lines as f64 / 3.0).min(10.0) as u8;
let (execution_time, memory_overhead) = match language {
Language::JavaScript | Language::TypeScript => {
if completion.contains("async") {
(3.0, 0.8)
} else if completion.contains("for") || completion.contains("while") {
(5.0, 1.2)
} else if completion.contains("class") {
(4.0, 2.0)
} else {
(1.5, 0.5)
}
}
Language::Python => {
if completion.contains("def ") {
(2.0, 1.0)
} else if completion.contains("class ") {
(5.0, 3.0)
} else {
(2.0, 1.0)
}
}
Language::Rust => {
if completion.contains("async") {
(2.0, 0.5)
} else if completion.contains("struct") {
(3.0, 1.0)
} else {
(1.0, 0.5)
}
}
_ => (2.0, 1.0),
};
PerformanceImpact {
estimated_execution_time_ms: execution_time,
memory_overhead_mb: memory_overhead,
complexity_score,
optimization_suggestions: vec![
"考虑使用更高效的数据结构".to_string(),
"避免不必要的循环".to_string(),
],
}
}
/// 分析代码质量并生成重构建议
pub async fn analyze_code_quality(
&self,
source: &str,
language: &Language,
) -> Result<Vec<RefactorSuggestion>, Box<dyn std::error::Error>> {
let mut suggestions = Vec::new();
// 检查常见问题
if source.contains("var ") {
suggestions.push(RefactorSuggestion {
title: "使用 let/const 替代 var".to_string(),
description: "var 存在变量提升和作用域问题，建议使用 let 或 const".to_string(),
original_code: "var variable = value;".to_string(),
refactored_code: "const variable = value; // 或 let".to_string(),
benefits: vec!["避免变量提升问题".to_string(), "更明确的作用域".to_string()],
confidence: 0.95,
});
}
if language == &Language::JavaScript && source.contains("==") && !source.contains("===") {
suggestions.push(RefactorSuggestion {
title: "使用 === 替代 ==".to_string(),
description: "=== 会进行类型检查，避免隐式类型转换".to_string(),
original_code: "if (a == b)".to_string(),
refactored_code: "if (a === b)".to_string(),
benefits: vec!["避免类型转换错误".to_string(), "更安全的比较".to_string()],
confidence: 0.98,
});
}
if source.contains("console.log") && !source.contains("//") {
suggestions.push(RefactorSuggestion {
title: "移除调试代码".to_string(),
description: "生产环境中应移除 console.log 语句".to_string(),
original_code: "console.log(debug);".to_string(),
refactored_code: "// console.log(debug); // 已注释".to_string(),
benefits: vec!["清理调试代码".to_string(), "提高代码质量".to_string()],
confidence: 0.85,
});
}
// 添加异步/await 建议
if language == &Language::JavaScript
&& source.contains("Promise")
&& !source.contains("async")
{
suggestions.push(RefactorSuggestion {
title: "使用 async/await 简化 Promise".to_string(),
description: "async/await 语法更清晰易读".to_string(),
original_code: "promise.then(result => process(result))".to_string(),
refactored_code:
"async function() {\n const result = await promise;\n process(result);\n}"
.to_string(),
benefits: vec!["更清晰的异步代码".to_string(), "更好的错误处理".to_string()],
confidence: 0.90,
});
}
Ok(suggestions)
}
/// 增强提示词
async fn enhance_prompt(
&self,
prompt: &str,
context: &CodeContext,
) -> Result<String, Box<dyn std::error::Error>> {
let mut enhanced = prompt.to_string();
// 添加语言信息
enhanced.push_str(&format!("\n语言: {:?}", context.language));
// 添加框架信息
if let Some(ref framework) = context
.project_info
.as_ref()
.and_then(|p| p.framework.clone())
{
enhanced.push_str(&format!("\n框架: {}", framework));
}
// 添加周围的代码
if let Some(ref surrounding) = context.surrounding_code {
enhanced.push_str(&format!("\n周围代码:\n{}", surrounding));
}
Ok(enhanced)
}
/// 后处理生成的代码
fn post_process(
&self,
code: &str,
language: &Language,
) -> Result<String, Box<dyn std::error::Error>> {
let mut processed = code.to_string();
// 移除多余的空行
while processed.contains("\n\n\n") {
processed = processed.replace("\n\n\n", "\n\n");
}
// 添加分号（如果需要）
if *language == Language::JavaScript || *language == Language::TypeScript {
processed = self.add_semicolons(&processed);
}
Ok(processed)
}
/// 生成代码建议
fn generate_suggestions(
&self,
code: &str,
language: &Language,
) -> Result<Vec<CodeSuggestion>, Box<dyn std::error::Error>> {
let mut suggestions = Vec::new();
// 基于代码内容生成建议
if code.contains("function") {
suggestions.push(CodeSuggestion {
title: "添加 JSDoc 文档".to_string(),
description: "为函数添加 JSDoc 注释以提高代码可读性".to_string(),
code: "/**\n * 函数描述\n * @param {type} paramName 参数描述\n * @returns {type} 返回值描述\n */".to_string(),
confidence: 0.85,
});
}
if *language == Language::JavaScript || *language == Language::TypeScript {
suggestions.push(CodeSuggestion {
title: "添加类型检查".to_string(),
description: "考虑添加 TypeScript 类型定义以提高代码健壮性".to_string(),
code: "// 使用 JSDoc 或 TypeScript 类型注解".to_string(),
confidence: 0.80,
});
}
Ok(suggestions)
}
/// 生成基础测试
async fn generate_basic_tests(
&self,
code: String,
language: &Language,
) -> Result<Vec<TestFile>, Box<dyn std::error::Error>> {
let mut tests = Vec::new();
if language == &Language::JavaScript {
tests.push(TestFile {
path: "test/generated.test.js".to_string(),
content: format!(
"const generated = require('./generated');\n\ndescribe('Generated Code Tests', () => {{\n test('should work correctly', () => {{\n // TODO: 实现测试\n expect(true).toBe(true);\n }});\n}});"
),
framework: TestFramework::Jest,
});
} else if language == &Language::TypeScript {
tests.push(TestFile {
path: "test/generated.test.ts".to_string(),
content: format!(
"import {{ generatedFunction }} from './generated';\n\ndescribe('Generated Code Tests', () => {{\n test('should work correctly', () => {{\n // TODO: 实现测试\n expect(generatedFunction()).toBeDefined();\n }});\n}});"
),
framework: TestFramework::Vitest,
});
}
Ok(tests)
}
/// 分析上下文
fn analyze_context(
&self,
partial: &str,
position: usize,
context: &CodeContext,
) -> Result<ContextAnalysis, Box<dyn std::error::Error>> {
Ok(ContextAnalysis {
cursor_line: partial[..position].lines().count(),
cursor_column: partial[..position].lines().last().map_or(0, |l| l.len()),
surrounding_tokens: self.extract_tokens(partial),
language: context.language.clone(),
})
}
/// 检测补全类型
fn detect_completion_kind(&self, completion: &str, partial: &str) -> CompletionKind {
if completion.contains("function") || completion.contains("()") {
CompletionKind::Function
} else if completion.contains("class") {
CompletionKind::Class
} else if completion.contains("const")
|| completion.contains("let")
|| completion.contains("var")
{
CompletionKind::Variable
} else if completion.contains("import") || completion.contains("export") {
CompletionKind::Keyword
} else {
CompletionKind::Snippet
}
}
/// 获取替换范围
fn get_replace_range(&self, partial: &str, position: usize) -> (usize, usize) {
// 简单实现：向前和向后各扩展 20 个字符
let start: _ = position.saturating_sub(20);
let end: _ = (position + 20).min(partial.len());
(start, end)
}
/// 提取标记
fn extract_tokens(&self, code: &str) -> Vec<String> {
code.split_whitespace()
.take(10)
.map(|s| s.to_string())
.collect()
}
/// 添加分号
fn add_semicolons(&self, code: &str) -> String {
// 简单实现：在函数声明后添加分号
code.replace("}\n", "};\n")
}
}
/// 上下文分析
#[derive(Debug, Clone)]
struct ContextAnalysis {
pub cursor_line: usize,
pub cursor_column: usize,
pub surrounding_tokens: Vec<String>,
pub language: Language,
}
#[cfg(test)]
mod tests {
#[tokio::test]
async fn test_generate_from_prompt() {
let generator: _ = AICodeGenerator::new_with_defaults();
let context: _ = CodeContext {
language: Language::JavaScript,
file_path: Some("test.js".to_string()),
surrounding_code: None,
project_info: Some(ProjectInfo {
name: "test-project".to_string(),
dependencies: vec![],
framework: Some("Node.js".to_string()),
version: None,
}),
imports: vec![],
functions: vec![],
classes: vec![],
};
let result: _ = generator
.generate_from_prompt(
"create a function to add two numbers",
Language::JavaScript,
&context,
)
.await
.unwrap();
assert!(!result.code.is_empty());
assert_eq!(result.language, Language::JavaScript);
assert!(result.confidence > 0.9);
}
#[tokio::test]
async fn test_complete_code() {
let generator: _ = AICodeGenerator::new_with_defaults();
let context: _ = CodeContext {
language: Language::JavaScript,
file_path: None,
surrounding_code: None,
project_info: None,
imports: vec![],
functions: vec![],
classes: vec![],
};
let result: _ = generator.complete_code("fun", 3, &context).await.unwrap();
assert!(!result.completions.is_empty());
assert_eq!(result.completions.len(), 2);
}
#[tokio::test]
async fn test_analyze_code_quality() {
let generator: _ = AICodeGenerator::new_with_defaults();
let source: _ = "var x = 5;\nif (a == b) { console.log('test'); }";
let suggestions: _ = generator
.analyze_code_quality(source, &Language::JavaScript)
.await
.unwrap();
assert!(!suggestions.is_empty());
assert!(suggestions.len() >= 2);
}
}