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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/CodeFileEditFlowModule", "revision": "main"},
{"url": "aiflows/InterpreterFlowModule", "revision": "main"},
{"url": "aiflows/HumanStandardInputFlowModule", "revision": "4ff043522c89a964ea3a928ce09811c51a2b5b98"},
{"url": "aiflows/RunCodeFlowModule", "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, "RunCodeFlow.yaml")
cfg = read_yaml_file(cfg_path)
# ~~~ instantiating the flow and input data ~~~
RunCodeFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")
memory_files = {"code_library": os.path.join(current_dir, "library.py")}
code = """
from library import add_two_numbers
add_two_numbers(1,1)
"""
input_data = {
"memory_files": memory_files,
"language": "Python",
"code": code,
}
input_message = InputMessage.build(
data_dict=input_data,
src_flow="Launcher",
dst_flow=RunCodeFlow.name
)
# ~~~ calling the flow ~~~
output_message = RunCodeFlow(input_message)
print(output_message) |