from typing import Dict, Any from flow_modules.Tachi67.AbstractBossFlowModule import CtrlExMemFlow from flows.base_flows import CircularFlow class CtrlExMem_JarvisFlow(CtrlExMemFlow): def _on_reach_max_round(self): self._state_update_dict({ "result": "the maximum amount of rounds was reached before the Jarvis flow has done the job", "summary": "JarvisFlow: the maximum amount of rounds was reached before the flow has done the job", "status": "unfinished" }) @CircularFlow.output_msg_payload_processor def detect_finish_or_continue(self, output_payload: Dict[str, Any], src_flow) -> Dict[str, Any]: command = output_payload["command"] if command == "finish": return { "EARLY_EXIT": True, "result": output_payload["command_args"]["summary"], "summary": "Jarvis: " + output_payload["command_args"]["summary"], "status": "finished" } elif command == "manual_finish": # ~~~ return the manual quit status ~~~ return { "EARLY_EXIT": True, "result": "JarvisFlow was terminated explicitly by the user, process is unfinished", "summary": "Jarvis: process terminated by the user explicitly, nothing generated", "status": "unfinished" } elif command == "update_plan": keys_to_fetch_from_state = ["memory_files"] fetched_state = self._fetch_state_attributes_by_keys(keys=keys_to_fetch_from_state) output_payload["command_args"]["memory_files"] = fetched_state["memory_files"] return output_payload elif command == "re_plan": keys_to_fetch_from_state = ["plan", "memory_files"] fetched_state = self._fetch_state_attributes_by_keys(keys=keys_to_fetch_from_state) output_payload["command_args"]["plan_file_location"] = fetched_state["memory_files"]["plan"] output_payload["command_args"]["plan"] = fetched_state["plan"] return output_payload else: return output_payload