run.py

import os

import hydra

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
# clear_cache() # Uncomment this line to clear the cache

logging.set_verbosity_debug()
logging.auto_set_dir()

dependencies = [
    {"url": "aiflows/ParseFeedbackFlowModule", "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, "ParseFeedbackAtomicFlow.yaml")
    cfg = read_yaml_file(cfg_path)


    # ~~~ instantiating the flow and input data ~~~
    ParseFeedbackFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")
    input_data = {
        "temp_code_file_location": os.path.join(current_dir, "example_code_file.py")
    }
    input_message = InputMessage.build(
        data_dict=input_data,
        src_flow="Launcher",
        dst_flow=ParseFeedbackFlow.name
    )

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

    print(output_message.data)