import asyncio import ray from pretor.utils.banner import print_banner from pretor.core.database.postgres import PostgresDatabase from pretor.core.global_state_machine.global_state_machine import GlobalStateMachine from pretor.core.individual.supervisory_node.supervisory_node import SupervisoryNode from pretor.core.individual.consciousness_node.consciousness_node import ConsciousnessNode from pretor.core.individual.control_node.control_node import ControlNode from pretor.core.workflow.workflow_runner import WorkflowRunningEngine from pretor.core.api import PretorGateway from ray import serve async def start_system(): # 1. 初始化 Ray env_vars = { "POSTGRES_USER": "postgres", "POSTGRES_PASSWORD": "postgres", "POSTGRES_HOST": "127.0.0.1", "POSTGRES_PORT": "5432", "POSTGRES_DB": "postgres", "SECRET_KEY": "yoursecretkey" } ray.init(ignore_reinit_error=True, runtime_env={"env_vars": env_vars}) # 2. 启动数据库组件 postgres_database = PostgresDatabase.options(name='postgres_database').remote() await postgres_database.init_db.remote() # 3. 启动全局状态机 global_state_machine = GlobalStateMachine.options(name='global_state_machine').remote(postgres_database) # 4. 启动核心节点 supervisory_node = SupervisoryNode.options(name='supervisory_node').remote() consciousness_node = ConsciousnessNode.options(name='consciousness_node').remote() control_node = ControlNode.options(name='control_node').remote() # 5. 启动工作流运行引擎 workflow_engine = WorkflowRunningEngine.options(name='workflow_running_engine').remote( consciousness_node=consciousness_node, control_node=control_node, supervisory_node=supervisory_node ) # 异步拉起 runner 协程群 workflow_engine.run.remote() # 6. 启动 FastAPI 网关 (使用 Ray Serve) serve.start(http_options={"host": "0.0.0.0", "port": 8000}) serve.run(PretorGateway.bind()) # 挂起主线程以保持系统运行 while True: await asyncio.sleep(3600) def main(): print_banner() try: asyncio.run(start_system()) except KeyboardInterrupt: print("系统已退出。") if __name__ == '__main__': main()