import os

import hydra

from flows.backends.api_info import ApiInfo
from flows.messages import InputMessage
from flows.utils.general_helpers import read_yaml_file

from flows import logging
from flows.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": "Tachi67/ReplanningFlowModule", "revision": "main"},
    {"url": "Tachi67/PlanGeneratorFlowModule", "revision": "main"},
    {"url": "Tachi67/InteractivePlanGenFlowModule", "revision": "main"},
    {"url": "Tachi67/PlanWriterFlowModule", "revision": "main"},
    {"url": "Tachi67/PlanFileEditFlowModule", "revision": "main"},
    {"url": "Tachi67/ParseFeedbackFlowModule", "revision": "main"},
    {"url": "aiflows/HumanStandardInputFlowModule", "revision": "5683a922372c5fa90be9f6447d6662d8d80341fc"}
]

from flows 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, "ReplanningFlow.yaml")
    cfg = read_yaml_file(cfg_path)
    cfg["subflows_config"]["Controller"]["backend"]["api_infos"] = api_information
    cfg["subflows_config"]["Executor"]["subflows_config"]["write_plan"]["subflows_config"]["PlanGenerator"]["backend"]["api_infos"] = api_information

    # ~~~ instantiating the flow and input data ~~~
    ReplanningFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")

    # ~~~ creating the plan file location (of the upper level flow e.g. ExtLib)
    plan_file_location = os.path.join(current_dir, "ExtLib_plan.txt")
    with open(plan_file_location, 'w') as file:
        pass

    input_data = {
        "goal": "data source OpenWeatherMap is deprecated",
        "plan": "1. Write a function that fetches today's weather at Lausanne from OpenWeatherMap. \n 2. Write a funtion that prints the fetched data in a formatted way.",
        "plan_file_location": plan_file_location
    }
    input_message = InputMessage.build(
        data_dict=input_data,
        src_flow="Launcher",
        dst_flow=ReplanningFlow.name
    )

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