from typing import Dict, Any
from aiflows.base_flows.atomic import AtomicFlow
class UpdatePlanAtomicFlow(AtomicFlow):
    """Refer to: https://huggingface.co/aiflows/CoderFlowModule/blob/main/UpdatePlanAtomicFlow.py
    This flow updates the plan file with the updated plan.
    *Input Interface*:
    - `updated_plan` (str): the updated plan

    *Output Interface*:
    - `result` (str): the result of the flow, to be returned to the controller of the caller

    *Configuration Parameters*:
    - `input_interface`: the input interface of the flow
    - `output_interface`: the output interface of the flow
    """
    def _check_input(self, input_data: Dict[str, Any]):
        """Check if the input data is valid
        :param input_data: the input data
        :type input_data: dict
        :raises AssertionError: if the input data is invalid
        :return: None
        """
        assert "memory_files" in input_data, "memory_files not passed to UpdatePlanAtomicFlow"
        assert "plan" in input_data["memory_files"], "plan not in memory_files"

    def _call(self, input_data: Dict[str, Any]):
        """The internal logic of the flow
        :param input_data: the input data
        :type input_data: dict
        :return: the output data
        :rtype: dict
        """
        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"ExtendLibrary/UpdatePlanFlow: updated plan saved to {plan_file_location}"
            }
        except Exception as e:
            return {
                "result": f"Error occurred: {str(e)}",
                "summary": f"ExtendLibrary/UpdatePlanFlow: error occurred while writing updated plan: {str(e)}"
            }

    def run(
            self,
            input_data: Dict[str, Any]
    ):
        """Run the flow
        :param input_data: the input data
        :type input_data: dict
        :return: the output data
        :rtype: dict
        """
        self._check_input(input_data)
        return self._call(input_data)