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