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3.08 kB
| from typing import Dict, Any | |
| from flow_modules.Tachi67.AbstractBossFlowModule import CtrlExMemFlow | |
| from aiflows.base_flows import CircularFlow | |
| class CtrlExMem_CoderFlow(CtrlExMemFlow): | |
| """This class inherits from the CtrlExMemFlow class from AbstractBossFlowModule. | |
| See: https://huggingface.co/Tachi67/AbstractBossFlowModule/blob/main/CtrlExMemFlow.py | |
| *Input Interface*: | |
| - `plan` | |
| - `logs` | |
| - `code_library`: the signatures and docstring of the functions in the code library. | |
| - `memory_files` | |
| - `goal` | |
| *Output Interface* | |
| - `result` (str): The result of the flow, the result will be returned to the caller. | |
| - `summary` (str): The summary of the flow, the summary will be logged into the logs of the caller flow. | |
| """ | |
| def _on_reach_max_round(self): | |
| self._state_update_dict({ | |
| "result": "the maximum amount of rounds was reached before the coder flow has done the job", | |
| "summary": "CoderFlow: the maximum amount of rounds was reached before the flow has done the job", | |
| "status": "unfinished" | |
| }) | |
| 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": "Coder: " + output_payload["command_args"]["summary"], | |
| "status": "finished" | |
| } | |
| elif command == "manual_finish": | |
| # ~~~ return the manual quit status ~~~ | |
| return { | |
| "EARLY_EXIT": True, | |
| "result": "CoderFlow was terminated explicitly by the user, process is unfinished", | |
| "summary": "Coder: 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 | |
| elif command == "run_code": | |
| 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 | |
| else: | |
| return output_payload |