File size: 1,826 Bytes
258e7ae
 
6374399
258e7ae
22339b2
 
 
 
 
 
 
 
 
 
258e7ae
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
#TODO: generalize updateplanatomicflow with the one in extendlibrary
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)