zhaoxi
209ba45477
Removes the deprecated `workflow_template` concept entirely across both backend API routers, internal logic handling within the `supervisory_node` and `consciousness_node`, and front-end components. Enables `consciousness_node` to work autonomously. Also refactors core package structure to enforce the "one python package, one Ray Actor" architectural rule. `GlobalWorkflowManager`, `WorkflowRunningEngine`, `PostgresDatabase`, and `WorkerCluster` have been moved to their own top-level decoupled package directories with properly exported `__init__.py` modules. Test suites have been relocated and import paths updated across the system. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
88 lines
4.2 KiB
Python
88 lines
4.2 KiB
Python
# 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 fastapi import APIRouter, Depends, HTTPException, status, UploadFile, File
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from pydantic import BaseModel
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from pretor.utils.access import Accessor, TokenData
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from pretor.api.platform.event import PretorEvent
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from pretor.utils.ray_hook import ray_actor_hook
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import os
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import anyio
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from pretor.utils.logger import get_logger
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logger = get_logger("frontend")
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client_router = APIRouter(prefix="/api/v1/adapter/client", tags=["client"])
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class Message(BaseModel):
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"""Message 核心组件类。
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这是一个领域数据模型或功能封装类，承载了 Message 相关的内聚属性定义与状态维护。它的存在隔离了局部的业务复杂性，并对外提供了类型安全的访问接口。"""
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message: str
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@client_router.post("")
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async def create_message(
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message: Message, token_data: TokenData = Depends(Accessor.get_current_user)
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):
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"""处理针对 create message 相关的 HTTP API 请求。
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该接口负责解析前端传入的载荷数据，调用底层核心业务逻辑进行处理，并组装标准化的 JSON 响应。
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Args: message (Message): 参与 create message 逻辑运算或数据构建的上下文依赖对象。 token_data (TokenData): 从客户端传递过来或由上游组件生成的核心业务数据体，通常需要进一步的清洗和结构化解析。
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Returns: : 序列化后的标准网络响应模型（如包含业务状态码、成功标志及对应的数据载荷 Data）。"""
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logger.info("收到消息，来源：客户端")
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logger.debug(f"消息内容：{message.message}")
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event = PretorEvent(
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platform="client",
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user_id=str(token_data.user_id),
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user_name=token_data.username,
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message=message.message,
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)
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supervisory_node = ray_actor_hook("supervisory_node").supervisory_node
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message = await supervisory_node.working.remote(event)
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if message.startswith("任务已创建"):
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return {"message": f"{event.trace_id}\n\n{message}"}
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elif message == "未知相应类型":
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="模型回复错误"
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)
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else:
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return {"message": message}
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@client_router.post("/upload")
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async def upload_file(
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file: UploadFile = File(...),
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token_data: TokenData = Depends(Accessor.get_current_user),
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):
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"""处理针对 upload file 相关的 HTTP API 请求。
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该接口负责解析前端传入的载荷数据，调用底层核心业务逻辑进行处理，并组装标准化的 JSON 响应。
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Args: file (UploadFile): 参与 upload file 逻辑运算或数据构建的上下文依赖对象。 token_data (TokenData): 从客户端传递过来或由上游组件生成的核心业务数据体，通常需要进一步的清洗和结构化解析。
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Returns: : 序列化后的标准网络响应模型（如包含业务状态码、成功标志及对应的数据载荷 Data）。"""
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try:
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upload_dir = "uploads"
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os.makedirs(upload_dir, exist_ok=True)
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file_path = os.path.join(upload_dir, file.filename)
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async with await anyio.open_file(file_path, "wb") as buffer:
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while chunk := await file.read(64 * 1024): # 64KB chunks
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await buffer.write(chunk)
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logger.info(f"用户 {token_data.username} 上传了文件: {file.filename}")
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return {
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"filename": file.filename,
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"message": f"File {file.filename} uploaded successfully",
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}
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except Exception as e:
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logger.error(f"文件上传失败: {e}")
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raise HTTPException(status_code=500, detail="文件上传失败")
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