#  Copyright 2026 zhaoxi826
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#       http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.

import ray
import time
import asyncio
from collections import OrderedDict
from loguru import logger
from ray.util.queue import Queue
from pretor.utils.ray_hook import ray_actor_hook
from pretor.worker_individual.worker_individual import BaseIndividual, SkillIndividual, OrdinaryIndividual, \
    SpecialIndividual


@ray.remote
class WorkerCluster:
    """
    工作集群 Actor：管理和调度所有的 worker_individual
    设计理念：按需加载，内存 LRU 淘汰，避免 Actor 爆炸
    """

    def __init__(self, max_capacity: int = 200, num_runners: int = 10):
        self.max_capacity = max_capacity
        self._active_workers: OrderedDict[str, BaseIndividual] = OrderedDict()
        self.status = "running"
        self.task_queue = Queue()
        self.results_futures = {}
        self.runners = []
        self.num_runners = num_runners

    async def start(self):
        self.runners = [asyncio.create_task(self._runner(i)) for i in range(self.num_runners)]
        logger.info(f"WorkerCluster 已启动 {self.num_runners} 个 runner 协程。")

    async def _recruit_worker(self, agent_id: str) -> BaseIndividual:
        """内部方法：招聘/唤醒一个具体的 Agent 对象"""
        if agent_id in self._active_workers:
            self._active_workers.move_to_end(agent_id)
            return self._active_workers[agent_id]

        global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
        agent_config = await global_state_machine.individual_manager.remote("get_individual", agent_id)

        if not agent_config:
            raise ValueError(f"无法唤醒 Agent {agent_id}：数据库中不存在该档案")

        worker_type = agent_config.get("type", "ordinary")
        if worker_type == "skill":
            worker = SkillIndividual(agent_config)
        elif worker_type == "special":
            worker = SpecialIndividual(agent_config)
        else:
            worker = OrdinaryIndividual(agent_config)

        self._active_workers[agent_id] = worker
        if len(self._active_workers) > self.max_capacity:
            evicted_id, _ = self._active_workers.popitem(last=False)
            logger.info(f"[WorkerCluster] 内存池满，休眠老化 Agent: {evicted_id}")

        return worker

    async def _runner(self, runner_id: int):
        while True:
            try:
                task = await self.task_queue.get_async()
                task_id = task.get("task_id")
                agent_id = task.get("agent_id")
                task_event = task.get("task_event")

                logger.debug(f"[WorkerCluster Runner {runner_id}] 开始处理任务 {task_id} 给 Agent {agent_id}")
                start_time = time.time()

                try:
                    worker = await self._recruit_worker(agent_id)
                    result = await worker.run(task_event)
                    cost_time = time.time() - start_time

                    response = {
                        "success": True,
                        "agent_id": agent_id,
                        "data": result,
                        "metrics": {"cost_time_sec": round(cost_time, 2)}
                    }
                except Exception as e:
                    logger.exception(f"[WorkerCluster Runner {runner_id}] 执行任务 {task_id} 时发生错误: {e}")
                    response = {
                        "success": False,
                        "agent_id": agent_id,
                        "error": str(e)
                    }
                if task_id in self.results_futures:
                    future = self.results_futures[task_id]
                    if not future.done():
                        future.set_result(response)

            except Exception as e:
                logger.error(f"[WorkerCluster Runner {runner_id}] 循环发生异常: {e}")
                await asyncio.sleep(1)

    async def submit_task(self, task_id: str, agent_id: str, task_event: dict):
        if not self.runners:
            await self.start()

        future = asyncio.Future()
        self.results_futures[task_id] = future

        task = {
            "task_id": task_id,
            "agent_id": agent_id,
            "task_event": task_event
        }
        await self.task_queue.put_async(task)
        logger.debug(f"[WorkerCluster] 任务 {task_id} 已加入队列。")

        try:
            result = await future
            return result
        finally:
            self.results_futures.pop(task_id, None)

    def get_cluster_metrics(self):
        return {
            "active_worker_count": len(self._active_workers),
            "max_capacity": self.max_capacity,
            "cached_agent_ids": list(self._active_workers.keys()),
            "queue_size": self.task_queue.size()
        }