run.py

import os

import hydra

from aiflows.backends.api_info import ApiInfo
from aiflows.messages import InputMessage
from aiflows.utils.general_helpers import read_yaml_file

from aiflows import logging
from aiflows.flow_cache import CACHING_PARAMETERS, clear_cache

CACHING_PARAMETERS.do_caching = False  # Set to True in order to disable caching

logging.set_verbosity_debug()
logging.auto_set_dir()

dependencies = [
    {"url": "aiflows/MemoryReadingFlowModule", "revision": "main"},
]

from aiflows import flow_verse

flow_verse.sync_dependencies(dependencies)

if __name__ == "__main__":
    current_dir = os.getcwd()
    cfg_path = os.path.join(current_dir, "MemoryReadingAtomicFlow.yaml")
    cfg = read_yaml_file(cfg_path)

    MemReadFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")

    input_data = {
        "memory_files": {
            "plan": os.path.join(current_dir, "example_plan.txt"),
            "logs": os.path.join(current_dir, "example_logs.txt"),
            "code_library": os.path.join(current_dir, "example_library.py")
        }
    }
    input_message = InputMessage.build(
        data_dict=input_data,
        src_flow="Launcher",
        dst_flow=MemReadFlow.name
    )

    # ~~~ calling the flow ~~~
    output_message = MemReadFlow(input_message)

    print(output_message.data)