| | |
| | from typing import Dict, Any |
| | from aiflows.base_flows.atomic import AtomicFlow |
| | class UpdatePlanAtomicFlow(AtomicFlow): |
| | """This flow updates the plan file with the updated plan. The controller should pass the updated plan to this flow. |
| | This design (controller reflect on the existing plan--update plan) is intended to let the controller more aware of the |
| | plan it has. However one setback is that this process in then not deterministic. |
| | |
| | *Input Interface* |
| | - `updated_plan`: the updated plan in string format |
| | |
| | *Output Interface* |
| | - `result`: the result of the update plan operation |
| | """ |
| | def _check_input(self, input_data: Dict[str, Any]): |
| | assert "memory_files" in input_data, "memory_files not passed to UpdatePlanAtomicFlow.yaml" |
| | assert "plan" in input_data["memory_files"], "plan not in memory_files" |
| |
|
| | def _call(self, input_data: Dict[str, Any]): |
| | try: |
| | plan_file_location = input_data["memory_files"]["plan"] |
| | plan_to_write = input_data["updated_plan"] |
| | with open(plan_file_location, 'w') as file: |
| | file.write(plan_to_write + "\n") |
| | return { |
| | "result": "updated plan saved to the plan file and has overriden the previous plan", |
| | "summary": f"Coder/UpdatePlanFlow: updated plan saved to {plan_file_location}" |
| | } |
| | except Exception as e: |
| | return { |
| | "result": f"Error occurred: {str(e)}", |
| | "summary": f"Coder/UpdatePlanFlow: error occurred while writing updated plan: {str(e)}" |
| | } |
| |
|
| | def run( |
| | self, |
| | input_data: Dict[str, Any] |
| | ): |
| | self._check_input(input_data) |
| | return self._call(input_data) |
