# ######################################################################
# import asyncio, time
# from pydantic import BaseModel


# class Response(BaseModel):
#     result: int


# async def main():
#     runner = SmartMultiServerCore()
#     start = time.time()
#     # res = await runner.single_item(user_prompt="سلام جواب این عبارت ریاضی چی میشه ؟ 145/5*2")
#     res = await runner.single_item(
#         user_prompt="سلام جواب این عبارت ریاضی چی میشه ؟ 145/5*2",
#         # output_schema=Response,
#     )
#     end = time.time()
#     print(f"res {res}", f"{end - start:.2f}", sep="\n")


# asyncio.run(main())

# ######################################################################
# class Output(BaseModel):
#     simplify_list : List[str]

# if __name__ == '__main__':
#     ruuner =  AsyncCore(
#         model_name='gpt-oss-120b', 
#         data_path='/home1/ava3/project/aiDataParser/task/simplify/input/prompt.json',
#         output_path='/home1/ava3/project/aiDataParser/task/simplify/output',
#         api_url="http://172.16.29.102:8001/v1/",
#         task_name='simplify-all-v1-oss-120b-med', 
#         output_schema=Output,
#         reasoning_effort='medium',
#         ai_code_version='oss120b_med', 
#         request_timeout=60, 
#         save_number=2,
#         max_token=50000,
#     )
#     ruuner.async_eval()

# ######################################################################2

# class Output(BaseModel):
#     simplify_list : List[str]

# if __name__ == '__main__':
#     ruuner =  AsyncCore(
#         model_name='gpt-oss-120b', 
#         data_path='/home1/ava3/project/aiDataParser/task/simplify/input/prompt.json',
#         output_path='/home1/ava3/project/aiDataParser/task/simplify/output',
#         api_url="http://172.16.29.102:8001/v1/",
#         task_name='simplify-all-v1-oss-120b-med', 
#         output_schema=Output,
#         reasoning_effort='medium',
#         ai_code_version='oss120b_med', 
#         request_timeout=60, 
#         save_number=2,
#         max_token=50000,
#     )

#     llm_answer, _ = await RUNNER_PROMPT.single_simple_async_proccess_item(
#             item={"user_prompt": prompt, "system_prompt": SYSTEM_PROPMT2},
#         )

# ######################################################################2
# from aiDataParser.core.data_normalizer import merge_json_dir

# merge_json_dir(input_path="/home1/ava3/init_mahdi/data/mj_qa_section", output_path="/home1/ava3/init_mahdi/data/mj_qa_section_28_11_1404.json")
# python3 -m aiDataParser.core.example