#  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.

from kilostar.worker_individual.base_individual import (
    BaseIndividual,
    WorkerIndividualDeps,
)
from kilostar.utils.logger import get_logger

logger = get_logger("ordinary_individual")


class OrdinaryIndividual(BaseIndividual):
    """
    普通子个体：普通的 agent。
    """

    def __init__(self, agent_config: dict):
        super().__init__(agent_config)

    async def run(self, task_event: dict) -> dict:
        """执行与 run 相关的核心业务流转操作。
        该方法封装了具体的算法策略或状态控制逻辑，确保操作能够在事务上下文中被原子且一致地执行。
        Args:        task_event (dict): 由事件总线或工作流引擎分发过来的事件载荷，封装了触发此次调用的上下文快照与任务目标指令。
        Returns:         (dict): 高度聚合的字典结构数据，将多维度的属性特征或统计指标组合后一并返回。"""
        if self.agent is None:
            system_prompt = self.agent_config.get(
                "prompt", "你是一个普通的AI助手，请尽力完成给定的任务。"
            )
            await self._init_agent("ordinary_individual", system_prompt)

        deps = WorkerIndividualDeps(task_event=task_event)
        self.agent.retries = 3
        try:
            result = await self.agent.run(f"请执行以下任务：\n{task_event}", deps=deps)
            return {"output": result.data.output}
        except Exception as e:
            logger.exception(f"OrdinaryIndividual {self.agent_id} 执行失败: {e}")
            raise