Agent Plan 入门指南：从零构建高效自动化任务流

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在自动化任务处理领域，传统方案如 Cron 或简单脚本存在明显短板。当任务复杂度上升时，这些方案会暴露出以下问题：

缺乏状态管理 ：脚本执行后无法保存中间状态，失败后难以恢复
协同能力差 ：多个任务间难以建立依赖关系和通信机制
错误处理薄弱 ：简单的 try-catch 无法应对分布式环境下的复杂故障
可观测性不足 ：难以实时监控任务执行情况和资源消耗

方案	适用场景	Agent Plan 优势
Cron	定时触发简单命令	支持复杂状态流和条件触发
Airflow	数据管道类批处理任务	更轻量级的实时任务处理
Luigi	数据依赖型任务链	更好的动态拓扑支持

from enum import Enum, auto

class AgentState(Enum):
    IDLE = auto()
    PROCESSING = auto()
    WAITING = auto()
    COMPLETED = auto()
    FAILED = auto()

class BaseAgent:
    def __init__(self, agent_id):
        self.agent_id = agent_id
        self.state = AgentState.IDLE
        self.message_queue = []

    def receive_message(self, msg):
        """消息处理入口"""
        self.message_queue.append(msg)
        self._state_transition()

    def _state_transition(self):
        """状态机核心逻辑"""
        if self.state == AgentState.IDLE and self.message_queue:
            self.state = AgentState.PROCESSING
            self._process_message()
        elif self.state == AgentState.FAILED:
            self._handle_failure()

class CoordinatorAgent(BaseAgent):
    def __init__(self, worker_agents):
        super().__init__('coordinator')
        self.workers = worker_agents

    def dispatch_tasks(self, tasks):
        for task, worker in zip(tasks, self.workers):
            worker.receive_message({
                'type': 'TASK_ASSIGN',
                'payload': task
            })

import logging
from concurrent.futures import ThreadPoolExecutor

class ProductionAgent(BaseAgent):
    def __init__(self, agent_id, max_retries=3):
        super().__init__(agent_id)
        self.logger = logging.getLogger(f'agent.{agent_id}')
        self.retry_count = 0
        self.max_retries = max_retries

    def _process_message(self):
        try:
            msg = self.message_queue.pop(0)
            self.logger.info(f'Processing message: {msg}')
            # 实际业务逻辑...
            self.state = AgentState.COMPLETED
        except Exception as e:
            self.logger.error(f'Process failed: {str(e)}')
            self.retry_count += 1
            self.state = AgentState.FAILED if self.retry_count >= self.max_retries \
                          else AgentState.IDLE