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。
This commit is contained in:
2026-04-29 10:09:07 +08:00
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# 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
from functools import lru_cache
class ActorList:
def __init__(self):
super().__setattr__('dict', {})
def __setattr__(self, key, value):
self.dict[key] = value
def __getattr__(self, key):
if key in self.dict:
return self.dict[key]
raise AttributeError(f"ActorList 对象没有属性 '{key}'")
def __delattr__(self, key):
if key in self.dict:
del self.dict[key]
else:
raise AttributeError(f"ActorList对象没有属性 '{key}'")
@lru_cache(maxsize=128)
def _get_cached_actor_handle(actor_name: str):
"""缓存接口"""
return ray.get_actor(actor_name, namespace="pretor")
def clear_actor_cache():
"""清理接口"""
_get_cached_actor_handle.cache_clear()
def ray_actor_hook(*actor_names: str):
actor_list = ActorList()
for actor_name in actor_names:
handle = _get_cached_actor_handle(actor_name)
setattr(actor_list, actor_name, handle)
return actor_list