amberjs 1.16.1

JavaScript/TypeScript runtime built with Rust and V8
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136

/// 边缘计算系统
use std::collections::VecDeque;
use std::collections::{HashMap, BTreeMap};
/// 计算类型
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ComputeType {
    /// 渲染计算
    Rendering,
    /// 物理模拟
    Physics,
    /// AI 推理
    AI,
    /// 音频处理
    Audio,
    /// 网络处理
    Network,
}
impl Default for ComputeType {
    fn default() -> Self {
        Self::Rendering
    }
}
/// 边缘计算配置
#[derive(Debug, Clone)]
pub struct EdgeConfig {
    /// 最大并发任务
    pub max_concurrent_tasks: u32,
    /// 任务超时 (ms)
    pub task_timeout_ms: u64,
    /// 启用负载均衡
    pub enable_load_balancing: bool,
}
impl Default for EdgeConfig {
    fn default() -> Self {
        Self {
            max_concurrent_tasks: 100,
            task_timeout_ms: 5000,
            enable_load_balancing: true,
        }
    }
}
/// 边缘任务
#[derive(Debug, Clone)]
pub struct EdgeTask {
    /// 任务 ID
    pub id: String,
    /// 计算类型
    pub compute_type: ComputeType,
    /// 负载数据
    pub payload: Vec<u8>,
    /// 优先级
    pub priority: u32,
}
/// 边缘结果
#[derive(Debug, Clone)]
pub struct EdgeResult {
    /// 任务 ID
    pub task_id: String,
    /// 结果数据
    pub data: Vec<u8>,
    /// 执行时间 (ms)
    pub execution_time_ms: u64,
    /// 是否成功
    pub success: bool,
}
/// 边缘计算系统
pub struct EdgeComputing {
    /// 配置
    config: EdgeConfig,
    /// 任务队列
    task_queue: VecDeque<EdgeTask>,
    /// 当前运行任务数
    running_tasks: u32,
}
impl EdgeComputing {
    /// 创建边缘计算系统
    pub fn new(config: EdgeConfig) -> Result<Self, EdgeError> {
        Ok(Self {
            config,
            task_queue: VecDeque::new(),
            running_tasks: 0,
        })
    }
    /// 分发任务
    pub fn dispatch_task(&mut self, task: EdgeTask) -> Result<String, EdgeError> {
        if self.running_tasks >= self.config.max_concurrent_tasks {
            self.task_queue.push_back(task.clone());
        } else {
            self.running_tasks += 1;
        }
        Ok(task.id)
    }
    /// 获取待处理任务数
    pub fn pending_tasks(&self) -> usize {
        self.task_queue.len()
    }
    /// 获取运行中任务数
    pub fn running_tasks(&self) -> u32 {
        self.running_tasks
    }
    /// 完成任务
    pub fn complete_task(&mut self, _task_id: &str) -> Result<(), EdgeError> {
        if self.running_tasks > 0 {
            self.running_tasks -= 1;
        }
        // 处理队列中的下一个任务
        if !self.task_queue.is_empty() && self.running_tasks < self.config.max_concurrent_tasks {
            self.task_queue.pop_front();
            self.running_tasks += 1;
        }
        Ok(())
    }
}
/// 边缘计算错误
#[derive(Debug, Clone)]
pub enum EdgeError {
    /// 初始化失败
    InitializationFailed(String),
    /// 任务失败
    TaskFailed(String),
    /// 超时
    Timeout(String),
    /// 资源不足
    InsufficientResources,
}
impl std::fmt::Display for EdgeError {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        match self {
            Self::InitializationFailed(msg) => write!(f, "初始化失败: {}", msg),
            Self::TaskFailed(msg) => write!(f, "任务失败: {}", msg),
            Self::Timeout(msg) => write!(f, "超时: {}", msg),
            Self::InsufficientResources => write!(f, "资源不足"),
        }
    }
}
impl std::error::Error for EdgeError {}