File size: 1,611 Bytes
73c4a24 5456f9f 73c4a24 17ce063 73c4a24 cf3d6aa 73c4a24 62f6edb 73c4a24 62f6edb |
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 |
from typing import Dict, Any
from aiflows.base_flows.atomic import AtomicFlow
class MemoryWritingAtomicFlow(AtomicFlow):
"""This class is used to write memory to memory files.
*Input Interface*:
- `summary` (str): summary to write to memory file (logs)
- `memory_files` (dict): dictionary of memory files to write to.
*Output Interface*:
- `MemWrite_output` (str): message that whether memory write was successful
"""
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.supported_memories = ["summary"]
def _check_input(self, input_data: Dict[str, Any]):
assert "memory_files" in input_data, "memory_files not passed to MemoryWritingAtomicFlow"
assert any(item in input_data for item in self.supported_memories), "no memories to write"
def _call(self, input_data: Dict[str, Any]):
try:
if "summary" in input_data:
assert "logs" in input_data["memory_files"], "there is summary to write, but no logs file in memory_files"
logs_file_location = input_data["memory_files"]["logs"]
summary_to_write = input_data["summary"]
with open(logs_file_location, 'a') as file:
file.write(summary_to_write + "\n")
return {"MemWrite_output": "Memory Write was successful"}
except Exception as e:
return {"MemWrite_output": str(e)}
def run(
self,
input_data: Dict[str, Any]
):
self._check_input(input_data)
return self._call(input_data)
|