分布式代码执行集群系统架构与技术方案设计文档

文档版本: v1.0
创建日期: 2026-03-19
文档状态: 技术评审版
保密级别: 内部机密

目录

1. 项目概述
2. 系统架构设计
3. 系统模块设计
4. 领域模型设计
5. 业务流程设计
6. 系统交互设计
7. 数据库设计
8. API接口设计
9. 安全架构设计
10. 云原生弹性扩缩容方案
11. 实施计划
12. 风险评估与应对
13. 附录

1. 项目概述

1.1 项目背景

本项目旨在构建一个分布式代码执行集群系统，用于统一管理和调度10台代码服务器（每台运行Claude Code），支持外部千人规模的开发者共创协作，同时确保代码资产不泄露。

1.2 核心目标

1.3 技术栈选型

┌─────────────────────────────────────────────────────────────┐
│                      技术栈全景图                            │
├─────────────┬─────────────┬─────────────┬───────────────────┤
│   后端框架   │   任务队列   │   数据库     │     容器平台      │
├─────────────┼─────────────┼─────────────┼───────────────────┤
│  FastAPI    │    Redis    │ PostgreSQL  │ Docker + K8s      │
│  Python 3.9+│   Cluster   │   14+       │                   │
├─────────────┴─────────────┴─────────────┴───────────────────┤
│   云平台：阿里云/腾讯云/AWS  │   AI: Anthropic Claude API    │
└─────────────────────────────────────────────────────────────┘

2. 系统架构设计

2.1 核心分层架构图

2.2 架构层次说明

2.3 网络拓扑设计

3. 系统模块设计

3.1 模块总览

3.2 模块详细设计

3.2.1 调度控制器 (Scheduler Controller)

职责: 负责任务的接收、解析、优先级排序和分发

接口定义:

class SchedulerController:
    async def submit_task(self, task: TaskCreateRequest) -> TaskResponse
    async def cancel_task(self, task_id: str) -> TaskResponse
    async def get_task_status(self, task_id: str) -> TaskStatus
    async def dispatch_task(self, task: Task) -> Optional[WorkerNode]
    async def rebalance_tasks(self) -> None

依赖:

• Redis Cluster (任务队列)
• PostgreSQL (任务状态持久化)
• Worker Manager (Worker节点状态)

配置参数:

scheduler:
  max_concurrent_tasks: 1000
  task_timeout_seconds: 300
  retry_max_attempts: 3
  priority_levels: [critical, high, normal, low]
  dispatch_strategy: round_robin  # 或 least_loaded, priority_based

3.2.2 Worker管理器 (Worker Manager)

职责: 管理Worker节点的生命周期、健康检查和负载均衡

接口定义:

class WorkerManager:
    async def register_worker(self, worker_info: WorkerInfo) -> str
    async def unregister_worker(self, worker_id: str) -> bool
    async def get_available_workers(self) -> List[WorkerNode]
    async def get_worker_status(self, worker_id: str) -> WorkerStatus
    async def heartbeat(self, worker_id: str) -> bool
    async def scale_workers(self, target_count: int) -> ScalingResult

依赖:

• Kubernetes API (容器编排)
• Redis (Worker状态缓存)
• Health Checker (健康检查)

3.2.3 Worker执行器 (Worker Executor)

职责: 执行具体任务，调用Claude Code，管理沙箱环境

接口定义:

class WorkerExecutor:
    async def execute_task(self, task: Task) -> TaskResult
    async def setup_sandbox(self, task_id: str) -> SandboxEnv
    async def cleanup_sandbox(self, sandbox_id: str) -> bool
    async def invoke_claude(self, prompt: str, context: CodeContext) -> ClaudeResponse
    async def report_result(self, task_id: str, result: TaskResult) -> bool

依赖:

• Claude API (AI代码生成)
• Docker API (沙箱容器管理)
• Redis (任务队列)
• 对象存储 (代码仓库)

3.2.4 沙箱管理器 (Sandbox Manager)

职责: 创建和管理一次性代码执行沙箱，确保隔离安全

接口定义:

class SandboxManager:
    async def create_sandbox(self, config: SandboxConfig) -> Sandbox
    async def destroy_sandbox(self, sandbox_id: str) -> bool
    async def get_sandbox_status(self, sandbox_id: str) -> SandboxStatus
    async def inject_code(self, sandbox_id: str, code: str) -> bool
    async def execute_command(self, sandbox_id: str, cmd: str) -> CommandResult

安全特性:

• 网络隔离（无外网访问）
• 文件系统隔离（只读挂载）
• 资源限制（CPU/Memory配额）
• 超时自动销毁

3.2.5 用户认证模块 (Auth Module)

职责: 用户身份认证、Token管理、会话控制

接口定义:

class AuthModule:
    async def login(self, credentials: LoginRequest) -> TokenResponse
    async def logout(self, token: str) -> bool
    async def refresh_token(self, refresh_token: str) -> TokenResponse
    async def verify_token(self, token: str) -> TokenPayload
    async def register_user(self, user_info: UserInfo) -> UserResponse

安全机制:

• JWT Token (有效期2小时)
• Refresh Token (有效期7天)
• 双因素认证 (可选)
• IP白名单限制

3.3 模块依赖关系图

4. 领域模型设计

4.1 核心实体关系图

4.2 值对象设计

# 任务优先级值对象
class TaskPriority:
    CRITICAL = "critical"  # 紧急任务，立即执行
    HIGH = "high"          # 高优先级，优先执行
    NORMAL = "normal"      # 普通优先级，正常队列
    LOW = "low"            # 低优先级，空闲时执行

# 任务状态值对象
class TaskStatus:
    PENDING = "pending"        # 等待调度
    QUEUED = "queued"          # 已入队
    DISPATCHED = "dispatched"  # 已分发
    RUNNING = "running"        # 执行中
    COMPLETED = "completed"    # 已完成
    FAILED = "failed"          # 执行失败
    CANCELLED = "cancelled"    # 已取消
    TIMEOUT = "timeout"        # 超时

# Worker状态值对象
class WorkerStatus:
    IDLE = "idle"          # 空闲
    BUSY = "busy"          # 忙碌
    UNHEALTHY = "unhealthy" # 不健康
    DRAINING = "draining"   # 排空中
    OFFLINE = "offline"     # 离线

# 沙箱状态值对象
class SandboxStatus:
    CREATING = "creating"    # 创建中
    READY = "ready"          # 就绪
    RUNNING = "running"      # 运行中
    DESTROYING = "destroying" # 销毁中
    DESTROYED = "destroyed"   # 已销毁

4.3 聚合根设计

# 任务聚合根
class TaskAggregate:
    def __init__(self, task_id: str, project_id: str, user_id: str):
        self.task_id = task_id
        self.project_id = project_id
        self.user_id = user_id
        self.status = TaskStatus.PENDING
        self.priority = TaskPriority.NORMAL
        self.input_data = None
        self.result = None
        self.audit_logs = []
        self.created_at = datetime.utcnow()
  
    def submit(self, input_data: dict) -> None:
        """提交任务"""
        self.input_data = input_data
        self.status = TaskStatus.QUEUED
  
    def dispatch(self, worker_id: str) -> None:
        """分发任务"""
        self.worker_id = worker_id
        self.status = TaskStatus.DISPATCHED
        self.started_at = datetime.utcnow()
  
    def complete(self, result: TaskResult) -> None:
        """完成任务"""
        self.result = result
        self.status = TaskStatus.COMPLETED
        self.completed_at = datetime.utcnow()
  
    def fail(self, error: str) -> None:
        """任务失败"""
        self.result = TaskResult(error_message=error, exit_code=-1)
        self.status = TaskStatus.FAILED
  
    def cancel(self) -> None:
        """取消任务"""
        self.status = TaskStatus.CANCELLED
  
    def add_audit_log(self, action: str, details: dict) -> None:
        """添加审计日志"""
        self.audit_logs.append({
            "action": action,
            "details": details,
            "timestamp": datetime.utcnow()
        })

# Worker聚合根
class WorkerAggregate:
    def __init__(self, worker_id: str, node_name: str):
        self.worker_id = worker_id
        self.node_name = node_name
        self.status = WorkerStatus.IDLE
        self.current_tasks = []
        self.capacity = 10
        self.last_heartbeat = datetime.utcnow()
        self.metrics = WorkerMetrics()
  
    def assign_task(self, task_id: str) -> bool:
        """分配任务"""
        if len(self.current_tasks) >= self.capacity:
            return False
        self.current_tasks.append(task_id)
        self.status = WorkerStatus.BUSY
        return True
  
    def complete_task(self, task_id: str) -> None:
        """完成任务"""
        if task_id in self.current_tasks:
            self.current_tasks.remove(task_id)
        if len(self.current_tasks) == 0:
            self.status = WorkerStatus.IDLE
  
    def heartbeat(self) -> None:
        """心跳上报"""
        self.last_heartbeat = datetime.utcnow()
  
    def is_healthy(self) -> bool:
        """健康检查"""
        return (
            self.status != WorkerStatus.OFFLINE and
            (datetime.utcnow() - self.last_heartbeat).seconds < 30
        )

4.4 领域事件设计

# 领域事件基类
class DomainEvent:
    def __init__(self, event_id: str, aggregate_id: str, timestamp: datetime):
        self.event_id = event_id
        self.aggregate_id = aggregate_id
        self.timestamp = timestamp

# 任务相关事件
class TaskSubmittedEvent(DomainEvent):
    def __init__(self, task_id: str, user_id: str, project_id: str):
        super().__init__(uuid4(), task_id, datetime.utcnow())
        self.user_id = user_id
        self.project_id = project_id

class TaskDispatchedEvent(DomainEvent):
    def __init__(self, task_id: str, worker_id: str):
        super().__init__(uuid4(), task_id, datetime.utcnow())
        self.worker_id = worker_id

class TaskCompletedEvent(DomainEvent):
    def __init__(self, task_id: str, result: TaskResult):
        super().__init__(uuid4(), task_id, datetime.utcnow())
        self.result = result

class TaskFailedEvent(DomainEvent):
    def __init__(self, task_id: str, error: str):
        super().__init__(uuid4(), task_id, datetime.utcnow())
        self.error = error

# Worker相关事件
class WorkerRegisteredEvent(DomainEvent):
    def __init__(self, worker_id: str, node_info: dict):
        super().__init__(uuid4(), worker_id, datetime.utcnow())
        self.node_info = node_info

class WorkerHeartbeatEvent(DomainEvent):
    def __init__(self, worker_id: str, metrics: dict):
        super().__init__(uuid4(), worker_id, datetime.utcnow())
        self.metrics = metrics

class WorkerOfflineEvent(DomainEvent):
    def __init__(self, worker_id: str, reason: str):
        super().__init__(uuid4(), worker_id, datetime.utcnow())
        self.reason = reason

# 安全相关事件
class CodeAccessEvent(DomainEvent):
    def __init__(self, user_id: str, code_id: str, action: str):
        super().__init__(uuid4(), code_id, datetime.utcnow())
        self.user_id = user_id
        self.action = action

class SecurityAlertEvent(DomainEvent):
    def __init__(self, alert_type: str, severity: str, details: dict):
        super().__init__(uuid4(), "security", datetime.utcnow())
        self.alert_type = alert_type
        self.severity = severity
        self.details = details

5. 业务流程设计

5.1 任务分发全流程

5.2 代码修改与执行流程

5.3 结果回收与通知流程

6. 系统交互设计

6.1 Controller、Redis、Worker、Claude API 交互序列图

6.2 Worker注册与心跳序列图

6.3 安全认证交互序列图

7. 数据库设计

7.1 数据库ER图

7.2 核心表DDL

-- 用户表
CREATE TABLE users (
    user_id VARCHAR(36) PRIMARY KEY,
    username VARCHAR(50) UNIQUE NOT NULL,
    email VARCHAR(255) UNIQUE NOT NULL,
    password_hash VARCHAR(255) NOT NULL,
    status VARCHAR(20) DEFAULT 'active',
    api_key VARCHAR(64) UNIQUE,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    last_login TIMESTAMP,
    INDEX idx_username (username),
    INDEX idx_email (email),
    INDEX idx_status (status)
);

-- 项目表
CREATE TABLE projects (
    project_id VARCHAR(36) PRIMARY KEY,
    name VARCHAR(255) NOT NULL,
    description TEXT,
    owner_id VARCHAR(36) NOT NULL,
    visibility VARCHAR(20) DEFAULT 'private',
    status VARCHAR(20) DEFAULT 'active',
    settings JSONB DEFAULT '{}',
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    FOREIGN KEY (owner_id) REFERENCES users(user_id),
    INDEX idx_owner (owner_id),
    INDEX idx_status (status),
    INDEX idx_visibility (visibility)
);

-- 任务表
CREATE TABLE tasks (
    task_id VARCHAR(36) PRIMARY KEY,
    project_id VARCHAR(36) NOT NULL,
    user_id VARCHAR(36) NOT NULL,
    worker_id VARCHAR(36),
    task_type VARCHAR(50) NOT NULL,
    priority VARCHAR(20) DEFAULT 'normal',
    status VARCHAR(20) DEFAULT 'pending',
    input_data TEXT,
    result_data TEXT,
    retry_count INT DEFAULT 0,
    timeout_seconds INT DEFAULT 300,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    started_at TIMESTAMP,
    completed_at TIMESTAMP,
    expires_at TIMESTAMP,
    FOREIGN KEY (project_id) REFERENCES projects(project_id),
    FOREIGN KEY (user_id) REFERENCES users(user_id),
    FOREIGN KEY (worker_id) REFERENCES workers(worker_id),
    INDEX idx_status (status),
    INDEX idx_priority (priority),
    INDEX idx_created (created_at),
    INDEX idx_project (project_id),
    INDEX idx_user (user_id),
    INDEX idx_worker (worker_id)
);

-- Worker表
CREATE TABLE workers (
    worker_id VARCHAR(36) PRIMARY KEY,
    node_name VARCHAR(255) NOT NULL,
    pod_name VARCHAR(255),
    ip_address VARCHAR(45) NOT NULL,
    port INT NOT NULL,
    status VARCHAR(20) DEFAULT 'idle',
    capacity INT DEFAULT 10,
    current_load INT DEFAULT 0,
    metadata JSONB DEFAULT '{}',
    last_heartbeat TIMESTAMP,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    INDEX idx_status (status),
    INDEX idx_heartbeat (last_heartbeat),
    INDEX idx_node (node_name)
);

-- 审计日志表
CREATE TABLE audit_logs (
    log_id VARCHAR(36) PRIMARY KEY,
    user_id VARCHAR(36),
    task_id VARCHAR(36),
    action VARCHAR(50) NOT NULL,
    resource_type VARCHAR(50),
    resource_id VARCHAR(36),
    ip_address VARCHAR(45),
    user_agent TEXT,
    request_data JSONB,
    response_data JSONB,
    response_code INT,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    FOREIGN KEY (user_id) REFERENCES users(user_id),
    FOREIGN KEY (task_id) REFERENCES tasks(task_id),
    INDEX idx_user (user_id),
    INDEX idx_task (task_id),
    INDEX idx_action (action),
    INDEX idx_created (created_at),
    INDEX idx_resource (resource_type, resource_id)
);

-- 沙箱表
CREATE TABLE sandboxes (
    sandbox_id VARCHAR(36) PRIMARY KEY,
    task_id VARCHAR(36) NOT NULL,
    worker_id VARCHAR(36) NOT NULL,
    container_id VARCHAR(255),
    status VARCHAR(20) DEFAULT 'creating',
    image VARCHAR(255) NOT NULL,
    resources JSONB DEFAULT '{}',
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    started_at TIMESTAMP,
    destroyed_at TIMESTAMP,
    FOREIGN KEY (task_id) REFERENCES tasks(task_id),
    FOREIGN KEY (worker_id) REFERENCES workers(worker_id),
    INDEX idx_task (task_id),
    INDEX idx_status (status),
    INDEX idx_worker (worker_id)
);

7.3 Redis数据结构设计

# 任务队列
task_queue:priority:critical  -> List [task_json, ...]
task_queue:priority:high      -> List [task_json, ...]
task_queue:priority:normal    -> List [task_json, ...]
task_queue:priority:low       -> List [task_json, ...]

# Worker队列
worker:{worker_id}:queue      -> List [task_json, ...]

# Worker状态
worker:{worker_id}:info       -> Hash {node_name, ip, port, capacity, ...}
worker:{worker_id}:status     -> String {idle|busy|unhealthy|offline}
worker:{worker_id}:heartbeat  -> String {timestamp}
worker:{worker_id}:metrics    -> Hash {cpu, memory, disk, active_tasks}

# 任务状态
task:{task_id}:status         -> String {pending|queued|dispatched|running|completed|failed}
task:{task_id}:data           -> Hash {input_data, result_data, ...}

# 结果队列
result_queue                  -> List [result_json, ...]

# 会话管理
session:{user_id}             -> String {session_data} EX 7200
token:{jti}                   -> String {token_payload} EX 7200
refresh:{jti}                 -> String {user_id} EX 604800

# 分布式锁
lock:task:{task_id}           -> String {worker_id} EX 300
lock:worker:{worker_id}       -> String {controller_id} EX 30

# 统计指标
stats:tasks:total             -> Counter
stats:tasks:completed:today   -> Counter
stats:workers:active          -> Gauge
stats:queue:size              -> Gauge

8. API接口设计

8.1 RESTful API规范

基础URL: https://api.codecluster.com/v1

认证方式: Bearer Token (JWT)
请求格式: application/json
响应格式: application/json
字符编码: UTF-8

8.2 统一响应格式

{
    "code": 200,
    "message": "success",
    "data": {},
    "timestamp": 1710806400,
    "request_id": "req_abc123xyz"
}

8.3 错误码定义

8.4 API接口清单

8.4.1 认证接口

# 用户登录
POST /api/v1/auth/login
Request:
  {
    "username": "string",
    "password": "string",
    "mfa_code": "string (optional)"
  }
Response:
  {
    "access_token": "string",
    "refresh_token": "string",
    "expires_in": 7200,
    "token_type": "Bearer"
  }

# Token刷新
POST /api/v1/auth/refresh
Request:
  {
    "refresh_token": "string"
  }
Response:
  {
    "access_token": "string",
    "expires_in": 7200
  }

# 用户登出
POST /api/v1/auth/logout
Headers:
  Authorization: Bearer {token}

# 用户注册
POST /api/v1/auth/register
Request:
  {
    "username": "string",
    "email": "string",
    "password": "string"
  }

8.4.2 任务接口

# 创建任务
POST /api/v1/tasks
Headers:
  Authorization: Bearer {token}
Request:
  {
    "project_id": "string",
    "task_type": "code_gen|code_review|refactor|test",
    "priority": "critical|high|normal|low",
    "input_data": {
      "code": "string",
      "prompt": "string",
      "context": "object"
    },
    "timeout_seconds": 300
  }
Response:
  {
    "task_id": "string",
    "status": "queued",
    "estimated_wait_seconds": 30
  }

# 获取任务状态
GET /api/v1/tasks/{task_id}
Headers:
  Authorization: Bearer {token}
Response:
  {
    "task_id": "string",
    "status": "running",
    "progress": 50,
    "worker_id": "string",
    "created_at": "2026-03-19T10:00:00Z",
    "started_at": "2026-03-19T10:00:30Z"
  }

# 获取任务结果
GET /api/v1/tasks/{task_id}/result
Headers:
  Authorization: Bearer {token}
Response:
  {
    "task_id": "string",
    "status": "completed",
    "output": "string",
    "artifact_url": "string",
    "metrics": {
      "execution_time_ms": 1500,
      "tokens_used": 2000
    }
  }

# 取消任务
POST /api/v1/tasks/{task_id}/cancel
Headers:
  Authorization: Bearer {token}
Response:
  {
    "task_id": "string",
    "status": "cancelled"
  }

# 列出任务
GET /api/v1/tasks
Headers:
  Authorization: Bearer {token}
Query Params:
  project_id: string (optional)
  status: string (optional)
  priority: string (optional)
  page: integer (default: 1)
  page_size: integer (default: 20)
Response:
  {
    "tasks": [...],
    "total": 100,
    "page": 1,
    "page_size": 20
  }

8.4.3 Worker接口

# Worker注册
POST /api/v1/workers/register
Request:
  {
    "node_name": "string",
    "ip_address": "string",
    "port": 8080,
    "capacity": 10,
    "metadata": {
      "cpu_cores": 8,
      "memory_gb": 32,
      "gpu_type": "none"
    }
  }
Response:
  {
    "worker_id": "string",
    "status": "idle"
  }

# Worker心跳
POST /api/v1/workers/{worker_id}/heartbeat
Request:
  {
    "cpu_usage": 45.5,
    "memory_usage": 60.2,
    "disk_usage": 30.0,
    "active_tasks": 3
  }
Response:
  {
    "ack": true
  }

# Worker下线
POST /api/v1/workers/{worker_id}/unregister
Response:
  {
    "ack": true
  }

# 获取Worker状态
GET /api/v1/workers/{worker_id}
Headers:
  Authorization: Bearer {token}
Response:
  {
    "worker_id": "string",
    "node_name": "string",
    "status": "busy",
    "current_load": 5,
    "capacity": 10,
    "last_heartbeat": "2026-03-19T10:00:00Z"
  }

# 列出Worker
GET /api/v1/workers
Headers:
  Authorization: Bearer {token}
Query Params:
  status: string (optional)
Response:
  {
    "workers": [...],
    "total": 10,
    "active": 8,
    "idle": 5,
    "busy": 3
  }

8.4.4 项目接口

# 创建项目
POST /api/v1/projects
Headers:
  Authorization: Bearer {token}
Request:
  {
    "name": "string",
    "description": "string",
    "visibility": "private|public|internal"
  }
Response:
  {
    "project_id": "string",
    "name": "string"
  }

# 获取项目详情
GET /api/v1/projects/{project_id}
Headers:
  Authorization: Bearer {token}
Response:
  {
    "project_id": "string",
    "name": "string",
    "description": "string",
    "owner_id": "string",
    "visibility": "private",
    "created_at": "2026-03-19T10:00:00Z",
    "stats": {
      "total_tasks": 100,
      "completed_tasks": 95,
      "collaborators": 5
    }
  }

# 更新项目
PUT /api/v1/projects/{project_id}
Headers:
  Authorization: Bearer {token}
Request:
  {
    "name": "string (optional)",
    "description": "string (optional)",
    "visibility": "string (optional)"
  }

# 删除项目
DELETE /api/v1/projects/{project_id}
Headers:
  Authorization: Bearer {token}

# 列出项目
GET /api/v1/projects
Headers:
  Authorization: Bearer {token}
Query Params:
  visibility: string (optional)
  page: integer
  page_size: integer

8.4.5 审计接口

# 查询审计日志
GET /api/v1/audit/logs
Headers:
  Authorization: Bearer {token}
Query Params:
  user_id: string (optional)
  task_id: string (optional)
  action: string (optional)
  start_time: string (optional)
  end_time: string (optional)
  page: integer
  page_size: integer
Response:
  {
    "logs": [...],
    "total": 1000,
    "page": 1,
    "page_size": 20
  }

# 导出审计日志
POST /api/v1/audit/export
Headers:
  Authorization: Bearer {token}
Request:
  {
    "start_time": "2026-03-01T00:00:00Z",
    "end_time": "2026-03-19T23:59:59Z",
    "format": "csv|json"
  }
Response:
  {
    "export_id": "string",
    "download_url": "string",
    "expires_at": "2026-03-20T00:00:00Z"
  }

8.4.6 监控接口

# 获取系统指标
GET /api/v1/metrics/system
Headers:
  Authorization: Bearer {token}
Response:
  {
    "tasks": {
      "total": 10000,
      "pending": 50,
      "running": 30,
      "completed_today": 500,
      "failed_today": 5
    },
    "workers": {
      "total": 10,
      "active": 8,
      "idle": 5,
      "busy": 3,
      "unhealthy": 0
    },
    "queue": {
      "size": 50,
      "avg_wait_time_ms": 100
    }
  }

# 获取Worker指标
GET /api/v1/metrics/workers/{worker_id}
Headers:
  Authorization: Bearer {token}
Query Params:
  start_time: string
  end_time: string
  interval: 1m|5m|1h|1d
Response:
  {
    "worker_id": "string",
    "metrics": [
      {
        "timestamp": "2026-03-19T10:00:00Z",
        "cpu_usage": 45.5,
        "memory_usage": 60.2,
        "active_tasks": 3
      }
    ]
  }

8.5 WebSocket接口

# WebSocket连接
WS /api/v1/ws/tasks
Query Params:
  token: string (JWT Token)

# 订阅任务更新
Client -> Server:
  {
    "action": "subscribe",
    "task_ids": ["task_1", "task_2"]
  }

# 服务器推送任务状态
Server -> Client:
  {
    "type": "task_status_update",
    "task_id": "task_1",
    "status": "running",
    "progress": 50,
    "timestamp": "2026-03-19T10:00:00Z"
  }

# 服务器推送任务完成
Server -> Client:
  {
    "type": "task_completed",
    "task_id": "task_1",
    "result": {...}
  }

# 取消订阅
Client -> Server:
  {
    "action": "unsubscribe",
    "task_ids": ["task_1"]
  }

9. 安全架构设计

9.1 七层安全机制总览

9.2 各层安全详细设计

L1 网络层安全

L2 传输层安全

TLS配置:
  版本: TLS 1.3
  加密套件:
    - TLS_AES_256_GCM_SHA384
    - TLS_CHACHA20_POLY1305_SHA256
  证书:
    类型: EV SSL证书
    有效期: 1年
    自动续期: 是
  mTLS:
    启用: 是 (内部服务间)
    证书轮换: 90天

L3 认证层安全

# JWT Token配置
JWT_CONFIG = {
    "algorithm": "RS256",
    "access_token_expiry": 7200,  # 2小时
    "refresh_token_expiry": 604800,  # 7天
    "issuer": "codecluster.com",
    "audience": "codecluster-api",
    "private_key_path": "/etc/secrets/jwt_private.pem",
    "public_key_path": "/etc/secrets/jwt_public.pem"
}

# MFA配置
MFA_CONFIG = {
    "enabled": True,
    "methods": ["TOTP", "SMS", "Email"],
    "backup_codes": 10,
    "lockout_attempts": 5,
    "lockout_duration": 900  # 15分钟
}

L4 授权层安全

权限矩阵:

L5 数据层安全

加密配置:
  静态数据加密:
    算法: AES-256-GCM
    密钥管理: 阿里云KMS/腾讯云KMS
    密钥轮换: 90天
  传输加密:
    算法: TLS 1.3
  敏感数据:
    密码: BCrypt (cost=12)
    API密钥: HMAC-SHA256
    凭证: AES-256加密存储

数据脱敏:
  日志脱敏:
    - 密码字段
    - API密钥
    - 个人身份信息
  展示脱敏:
    - 邮箱: u***@example.com
    - 手机: 138****1234

L6 执行层安全（核心）

# 沙箱安全配置
SANDBOX_SECURITY_CONFIG = {
    # 容器隔离
    "container": {
        "image": "codecluster/sandbox:latest",
        "read_only_rootfs": True,
        "no_new_privileges": True,
        "drop_capabilities": ["ALL"],
        "add_capabilities": [],
    },
    # 资源限制
    "resources": {
        "cpu_limit": "2.0",
        "memory_limit": "4Gi",
        "disk_limit": "10Gi",
        "pids_limit": 100,
    },
    # 网络隔离
    "network": {
        "enabled": False,  # 默认禁用外网
        "allowed_hosts": ["claude-api.anthropic.com"],
        "blocked_ports": [22, 23, 3389],
    },
    # 文件系统
    "filesystem": {
        "readonly_mounts": ["/etc", "/usr", "/bin"],
        "tmpfs_mounts": ["/tmp", "/var/tmp"],
        "max_file_size": "100MB",
    },
    # 超时控制
    "timeout": {
        "execution_timeout": 300,  # 5分钟
        "idle_timeout": 60,  # 1分钟
    },
    # 代码切片
    "code_slicing": {
        "enabled": True,
        "max_chunk_size": "10000 lines",
        "isolation_level": "process",
    }
}

# 一次性沙箱策略
EPHEMERAL_SANDBOX_POLICY = {
    "destroy_after_execution": True,
    "destroy_on_timeout": True,
    "destroy_on_error": True,
    "max_lifetime": 600,  # 10分钟
    "snapshot_before_destroy": True,  # 用于审计
}

代码切片隔离机制:

L7 审计层安全

审计日志配置:
  记录内容:
    - 用户身份
    - 操作类型
    - 资源信息
    - 时间戳
    - IP地址
    - 请求/响应数据
  存储策略:
    热存储: 30天 (Elasticsearch)
    温存储: 90天 (S3)
    冷存储: 365天 (归档存储)
  完整性保护:
    哈希链: SHA-256
    防篡改: 是

异常检测:
  规则引擎:
    - 频繁失败登录
    - 异常IP访问
    - 超大数据下载
    - 非工作时间操作
    - 权限提升尝试
  告警级别:
    - 低: 邮件通知
    - 中: 短信通知
    - 高: 电话通知 + 自动阻断

9.3 任务签名机制

# 任务签名验证
class TaskSignature:
    def __init__(self, private_key_path: str, public_key_path: str):
        self.private_key = load_private_key(private_key_path)
        self.public_key = load_public_key(public_key_path)
  
    def sign_task(self, task_data: dict) -> str:
        """对任务数据进行签名"""
        canonical_data = json.dumps(task_data, sort_keys=True)
        signature = self.private_key.sign(
            canonical_data.encode(),
            padding.PSS(
                mgf=padding.MGF1(hashes.SHA256()),
                salt_length=padding.PSS.MAX_LENGTH
            ),
            hashes.SHA256()
        )
        return base64.b64encode(signature).decode()
  
    def verify_signature(self, task_data: dict, signature: str) -> bool:
        """验证任务签名"""
        try:
            canonical_data = json.dumps(task_data, sort_keys=True)
            self.public_key.verify(
                base64.b64decode(signature),
                canonical_data.encode(),
                padding.PSS(
                    mgf=padding.MGF1(hashes.SHA256()),
                    salt_length=padding.PSS.MAX_LENGTH
                ),
                hashes.SHA256()
            )
            return True
        except InvalidSignature:
            return False

# 任务签名流程
# 1. Controller创建任务时签名
# 2. Worker接收任务时验证签名
# 3. 签名验证失败则拒绝执行

10. 云原生弹性扩缩容方案

10.1 Kubernetes架构设计

10.2 HPA自动扩缩容配置

# Worker HPA配置
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: worker-hpa
  namespace: codecluster-execution
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: worker
  minReplicas: 10
  maxReplicas: 100
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80
  - type: Pods
    pods:
      metric:
        name: queue_size
      target:
        type: AverageValue
        averageValue: 10
  behavior:
    scaleDown:
      stabilizationWindowSeconds: 300
      policies:
      - type: Percent
        value: 10
        periodSeconds: 60
    scaleUp:
      stabilizationWindowSeconds: 0
      policies:
      - type: Percent
        value: 100
        periodSeconds: 15
      - type: Pods
        value: 10
        periodSeconds: 15
      selectPolicy: Max

10.3 扩缩容策略

# 扩缩容策略配置
scaling_policy:
  # 扩容触发条件
  scale_up:
    conditions:
      - metric: queue_size
        threshold: 100
        duration: 30s
      - metric: cpu_utilization
        threshold: 70%
        duration: 60s
      - metric: memory_utilization
        threshold: 80%
        duration: 60s
    action:
      type: additive
      increment: 5  # 每次增加5个Pod
      max_increment: 20
    cooldown: 60s

  # 缩容触发条件
  scale_down:
    conditions:
      - metric: queue_size
        threshold: 10
        duration: 300s
      - metric: cpu_utilization
        threshold: 30%
        duration: 300s
    action:
      type: percentage
      decrement: 10%
      min_replicas: 10
    cooldown: 300s

  # 定时扩缩容
  scheduled_scaling:
    - name: business_hours
      schedule: "0 9 * * 1-5"  # 工作日9点
      min_replicas: 20
    - name: off_hours
      schedule: "0 20 * * 1-5"  # 工作日20点
      min_replicas: 10

10.4 资源配额管理

# 资源配额配置
apiVersion: v1
kind: ResourceQuota
metadata:
  name: execution-quota
  namespace: codecluster-execution
spec:
  hard:
    requests.cpu: "500"
    requests.memory: 1000Gi
    limits.cpu: "1000"
    limits.memory: 2000Gi
    pods: "200"
    persistentvolumeclaims: "50"

# LimitRange配置
apiVersion: v1
kind: LimitRange
metadata:
  name: worker-limits
  namespace: codecluster-execution
spec:
  limits:
  - type: Container
    default:
      cpu: "2"
      memory: 4Gi
    defaultRequest:
      cpu: "1"
      memory: 2Gi
    max:
      cpu: "4"
      memory: 8Gi
    min:
      cpu: "500m"
      memory: 1Gi

10.5 多可用区部署

# 多可用区部署配置
apiVersion: apps/v1
kind: Deployment
metadata:
  name: worker
  namespace: codecluster-execution
spec:
  replicas: 10
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 2
      maxUnavailable: 1
  template:
    spec:
      affinity:
        podAntiAffinity:
          preferredDuringSchedulingIgnoredDuringExecution:
          - weight: 100
            podAffinityTerm:
              labelSelector:
                matchLabels:
                  app: worker
              topologyKey: kubernetes.io/hostname
        nodeAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            nodeSelectorTerms:
            - matchExpressions:
              - key: topology.kubernetes.io/zone
                operator: In
                values:
                - cn-hangzhou-a
                - cn-hangzhou-b
                - cn-hangzhou-c
      topologySpreadConstraints:
      - maxSkew: 1
        topologyKey: topology.kubernetes.io/zone
        whenUnsatisfiable: ScheduleAnyway
        labelSelector:
          matchLabels:
            app: worker

10.6 弹性扩缩容流程图

11. 实施计划

11.1 项目阶段划分

11.2 详细实施计划

第一阶段：基础架构 (2026-03-19 ~ 2026-04-14, 4周)

里程碑 M1: 2026-04-14 - 基础架构就绪

第二阶段：核心开发 (2026-04-15 ~ 2026-05-17, 5周)

里程碑 M2: 2026-05-17 - 核心功能开发完成

第三阶段：集成测试 (2026-05-18 ~ 2026-05-31, 2周)

里程碑 M3: 2026-05-31 - 测试验收通过

第四阶段：上线部署 (2026-06-01 ~ 2026-06-28, 4周)

里程碑 M4: 2026-06-28 - 项目正式上线

11.3 资源需求计划

11.4 风险管理计划

12. 风险评估与应对

12.1 技术风险

12.2 运营风险

12.3 应急预案

# 应急预案配置
emergency_plan:
  # API故障应急
  api_failure:
    trigger: API错误率 > 10% 持续5分钟
    actions:
      - 切换备用API账号
      - 启用本地缓存
      - 降级为非AI模式
      - 通知值班人员
    rollback: API恢复正常后自动切换
  
  # Worker故障应急
  worker_failure:
    trigger: Worker离线 > 30%
    actions:
      - 自动扩容新Worker
      - 任务重新调度
      - 告警通知
    rollback: 故障Worker恢复后重新加入
  
  # 数据库故障应急
  database_failure:
    trigger: 主库不可用
    actions:
      - 自动切换到从库
      - 启用只读模式
      - 通知DBA
    rollback: 主库恢复后数据同步
  
  # 安全事件应急
  security_incident:
    trigger: 检测到安全攻击
    actions:
      - 隔离受影响节点
      - 阻断攻击源IP
      - 启动取证流程
      - 通知安全团队
    rollback: 威胁消除后恢复

13. 附录

13.1 术语表

13.2 参考文档

1. Kubernetes官方文档
2. FastAPI官方文档
3. Redis官方文档
4. Anthropic Claude API文档
5. 阿里云容器服务文档

13.3 版本历史

文档结束

本方案文档为技术评审版，实施过程中可能根据实际情况进行调整。
任何变更需经过变更控制委员会(CCB)审批。