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ExtendLibraryFlowModule
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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

from aiflows import logging
from aiflows.flow_cache import CACHING_PARAMETERS, clear_cache
from aiflows.utils.general_helpers import quick_load

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/HumanStandardInputFlowModule", "revision": "4ff043522c89a964ea3a928ce09811c51a2b5b98"},
    {"url": "aiflows/ChatFlowModule", "revision": "297c90d08087d9ff3139521f11d1a48d7dc63ed4"},
    {"url": "aiflows/ExtendLibraryFlowModule", "revision": "main"},
    {"url": "aiflows/AbstractBossFlowModule", "revision": "main"},
    {"url": "aiflows/MemoryReadingFlowModule", "revision": "main"},
    {"url": "aiflows/PlanWriterFlowModule", "revision": "main"},
    {"url": "aiflows/ReplanningFlowModule", "revision": "main"},
    {"url": "aiflows/CodeWriterFlowModule", "revision": "main"},
]

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

    current_dir = os.getcwd()
    cfg_path = os.path.join(current_dir, "ExtendLibraryFlow.yaml")
    cfg = read_yaml_file(cfg_path)
    # ~~~ setting api information into config ~~~
    quick_load(cfg, api_information)

    # ~~~ setting memory files into config ~~~
    code_lib_file_loc = os.path.join(current_dir, "library.py")
    plan_file_loc = os.path.join(current_dir, "plan_extlib.txt")
    logs_file_loc = os.path.join(current_dir, "logs_extlib.txt")
    with open(code_lib_file_loc, 'w') as file:
        pass
    with open(plan_file_loc, 'w') as file:
        pass
    with open(logs_file_loc, 'w') as file:
        pass
    memfiles_extlib = {}
    memfiles_writecode_interactivecoder = {}
    memfiles_writecode_test = {}
    memfiles_extlib["plan"] = plan_file_loc
    memfiles_extlib["logs"] = logs_file_loc
    memfiles_extlib["code_library"] = code_lib_file_loc
    memfiles_writecode_interactivecoder["code_library"] = code_lib_file_loc
    memfiles_writecode_test["code_library"] = code_lib_file_loc
    cfg["memory_files"] = memfiles_extlib
    cfg["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["write_code"]["subflows_config"]["Executor"]["subflows_config"]["write_code"]["memory_files"] = memfiles_writecode_interactivecoder
    cfg["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["write_code"]["subflows_config"]["Executor"]["subflows_config"]["test"]["memory_files"] = memfiles_writecode_test


    # ~~~ instantiating the flow and input data ~~~
    ExtendLibraryFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")
    input_data = {
        "goal": "Write a function that adds up two numbers",
    }
    input_message = InputMessage.build(
        data_dict=input_data,
        src_flow="Launcher",
        dst_flow=ExtendLibraryFlow.name
    )

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