style: 项目重构
1.项目改名为kilostar(千星) 2.后端部分进行大规模重构 3.node功能进行大规模重新设计
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# Copyright 2026 zhaoxi826
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from kilostar.worker_individual.base_individual import (
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BaseIndividual,
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WorkerIndividualDeps,
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)
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from kilostar.utils.logger import get_logger
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logger = get_logger("ordinary_individual")
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class OrdinaryIndividual(BaseIndividual):
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"""
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普通子个体:普通的 agent。
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"""
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def __init__(self, agent_config: dict):
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super().__init__(agent_config)
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async def run(self, task_event: dict) -> dict:
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"""执行与 run 相关的核心业务流转操作。
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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。
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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。
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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。"""
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if self.agent is None:
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system_prompt = self.agent_config.get(
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"prompt", "你是一个普通的AI助手,请尽力完成给定的任务。"
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)
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await self._init_agent("ordinary_individual", system_prompt)
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deps = WorkerIndividualDeps(task_event=task_event)
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self.agent.retries = 3
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try:
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result = await self.agent.run(f"请执行以下任务:\n{task_event}", deps=deps)
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return {"output": result.data.output}
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except Exception as e:
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logger.exception(f"OrdinaryIndividual {self.agent_id} 执行失败: {e}")
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raise
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