chore: initial commit for Pretor v0.1.0-alpha
正式发布 Pretor 平台的首个 alpha 版本。本项目旨在构建一个基于分布式架构的多智能体协同工作流水线。 核心功能实现: 1. 建立基于 BaseIndividual 的动态插件加载机制。 2. 实现三类核心 worker_individual 子个体。 3. 集成 Ray 框架支持分布式集群调度。 4. 基于 PostgreSQL 的全量持久化存储方案。 5. 提供完整的 FastAPI 后端与 React 前端交互界面。
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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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import ray
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from functools import lru_cache
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class ActorList:
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def __init__(self):
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super().__setattr__('dict', {})
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def __setattr__(self, key, value):
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self.dict[key] = value
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def __getattr__(self, key):
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if key in self.dict:
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return self.dict[key]
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raise AttributeError(f"ActorList 对象没有属性 '{key}'")
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def __delattr__(self, key):
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if key in self.dict:
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del self.dict[key]
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else:
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raise AttributeError(f"ActorList对象没有属性 '{key}'")
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@lru_cache(maxsize=128)
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def _get_cached_actor_handle(actor_name: str):
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"""缓存接口"""
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return ray.get_actor(actor_name, namespace="pretor")
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def clear_actor_cache():
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"""清理接口"""
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_get_cached_actor_handle.cache_clear()
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def ray_actor_hook(*actor_names: str):
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actor_list = ActorList()
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for actor_name in actor_names:
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handle = _get_cached_actor_handle(actor_name)
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setattr(actor_list, actor_name, handle)
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return actor_list
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