File size: 1,338 Bytes
67ebb93 41af642 67ebb93 |
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 41 42 43 44 45 46 47 48 |
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) |