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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, quick_load
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/ContentWriterFlowModule", "revision": "main"},
{"url": "aiflows/InteractiveCodeGenFlowModule", "revision": "main"},
{"url": "aiflows/CodeWriterFlowModule", "revision": "main"},
{"url": "aiflows/ChatFlowModule", "revision": "297c90d08087d9ff3139521f11d1a48d7dc63ed4"},
]
from aiflows import flow_verse
flow_verse.sync_dependencies(dependencies)
if __name__ == "__main__":
# ~~~ make sure to set the openai api key in the envs ~~~
key = os.getenv("OPENAI_API_KEY")
api_information = [ApiInfo(backend_used="openai", api_key=os.getenv("OPENAI_API_KEY"))]
path_to_output_file = None
# ~~~ setting api information into config ~~~
current_dir = os.getcwd()
cfg_path = os.path.join(current_dir, "CodeWriterFlow.yaml")
cfg = read_yaml_file(cfg_path)
quick_load(cfg, api_information)
# ~~~ setting code library into config ~~~
code_lib_file_loc = os.path.join(current_dir, "library.py")
with open(code_lib_file_loc, 'w') as file:
pass
cfg["subflows_config"]["Executor"]["subflows_config"]["write_code"]["memory_files"] = {"code_library": code_lib_file_loc}
cfg["subflows_config"]["Executor"]["subflows_config"]["test"]["memory_files"] = {"code_library": code_lib_file_loc}
# ~~~ instantiating the flow and input data ~~~
CodeWriterFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")
input_data = {
"goal": "create a function that adds two numbers and returns the result",
}
input_message = InputMessage.build(
data_dict=input_data,
src_flow="Launcher",
dst_flow=CodeWriterFlow.name
)
# ~~~ calling the flow ~~~
output_message = CodeWriterFlow(input_message)
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