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
commit d84212f780
163 changed files with 19251 additions and 0 deletions
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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.
from .frontend import client_router
__all__ = ["client_router"]
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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 datetime
from pydantic import BaseModel, Field, ConfigDict
from ulid import ULID
from typing import Any, Dict
from pretor.core.workflow.workflow import PretorWorkflow
import asyncio
class PretorEvent(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
trace_id: str = Field(default_factory=lambda: str(ULID()), description="事件的唯一标识符")
platform: str = Field(description="消息来源的平台")
user_id: str = Field(description="用户id")
user_name: str = Field(description="用户名")
create_time: str = Field(default_factory=lambda: str(datetime.datetime.now(datetime.timezone.utc).isoformat()),
description="事件创建时间")
message: str = Field(description="用户发来的消息")
attachment: Dict[str, str] | None = Field(default=None,description="附件")
#--------------------------------------------------------------------------------------------------------------
context: Dict[str, Any] = Field(default_factory=dict, description="事件上下文内容,可包含工作流模板等信息")
workflow: PretorWorkflow | None = Field(default=None,description="工作流")
pending_queue: asyncio.Queue[str] | None= Field(default=None,description="待处理队列")
receive_queue: asyncio.Queue[str] | None = Field(default=None,description="待接收队列")
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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.
from fastapi import APIRouter, Depends, HTTPException, status, UploadFile, File
from pydantic import BaseModel
from pretor.utils.access import Accessor, TokenData
from pretor.api.platform.event import PretorEvent
from pretor.utils.ray_hook import ray_actor_hook
import os
import shutil
from pretor.utils.logger import get_logger
logger = get_logger('frontend')
client_router = APIRouter(prefix="/api/v1/adapter/client", tags=["client"])
class Message(BaseModel):
message: str
@client_router.post("")
async def create_message(message: Message,
token_data: TokenData = Depends(Accessor.get_current_user)):
logger.info("收到消息,来源:客户端")
logger.debug(f"消息内容:{message.message}")
event = PretorEvent(platform="client",
user_id=str(token_data.user_id),
user_name=token_data.username,
message=message.message)
supervisory_node = ray_actor_hook("supervisory_node").supervisory_node
message = await supervisory_node.working.remote(event)
if message == "任务已创建":
return {"message": event.trace_id}
elif message == "未知相应类型":
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="模型回复错误")
else:
return {"message": message}
@client_router.post("/upload")
async def upload_file(file: UploadFile = File(...),
token_data: TokenData = Depends(Accessor.get_current_user)):
try:
upload_dir = "uploads"
os.makedirs(upload_dir, exist_ok=True)
file_path = os.path.join(upload_dir, file.filename)
with open(file_path, "wb") as buffer:
shutil.copyfileobj(file.file, buffer)
logger.info(f"用户 {token_data.username} 上传了文件: {file.filename}")
return {"filename": file.filename, "message": f"File {file.filename} uploaded successfully"}
except Exception as e:
logger.error(f"文件上传失败: {e}")
raise HTTPException(status_code=500, detail="文件上传失败")