from pydantic.main import BaseModel

from app.utils.prompts.chatgpt_prompt import ChatgptService
from app.utils.prompts.prompts import image_autotag_prompt
from app.utils.prompts.schemas import SpaceType, Subject, Camera, MotionRecommended

import asyncio

# medium 추론은 출력 비용의 80%를 차지하고, minimal은 A/B 비교(4회)에서 narrative 점수가
# welcome 단계로 편향되고 태그를 과다 선택하는 패턴이 반복돼 low로 고정한다.
IMAGE_TAG_REASONING_EFFORT = "low"

async def autotag_image(image_url : str, industry: str = "") -> list[str]: #tag_list
    chatgpt = ChatgptService(model_type="gpt")
    image_input_data = {
        "img_url" : image_url,
        "industry" : industry,
        "space_type" : list(SpaceType),
        "subject" : list(Subject),
        "camera" : list(Camera),
        "motion_recommended" : list(MotionRecommended)
    }

    image_result = await chatgpt.generate_structured_output(image_autotag_prompt, image_input_data, image_url, True, reasoning_effort=IMAGE_TAG_REASONING_EFFORT)
    return image_result

async def autotag_images(image_url_list : list[str], industry: str = "") -> list[dict]: #tag_list
    chatgpt = ChatgptService(model_type="gpt")
    image_input_data_list = [{
        "img_url" : image_url,
        "industry" : industry,
        "space_type" : list(SpaceType),
        "subject" : list(Subject),
        "camera" : list(Camera),
        "motion_recommended" : list(MotionRecommended)
    }for image_url in image_url_list]
    
    image_result_tasks = [chatgpt.generate_structured_output(image_autotag_prompt, image_input_data, image_input_data['img_url'], True, silent = True, reasoning_effort=IMAGE_TAG_REASONING_EFFORT) for image_input_data in image_input_data_list]
    image_result_list: list[BaseModel | BaseException] = await asyncio.gather(*image_result_tasks, return_exceptions=True)
    MAX_RETRY = 2
    for _ in range(MAX_RETRY):
        failed_idx = [i for i, r in enumerate(image_result_list) if isinstance(r, Exception)]
        # print("Failed", failed_idx)
        if not failed_idx:
            break
        retried = await asyncio.gather(
            *[chatgpt.generate_structured_output(image_autotag_prompt, image_input_data_list[i], image_input_data_list[i]['img_url'], True, silent=True, reasoning_effort=IMAGE_TAG_REASONING_EFFORT) for i in failed_idx],
            return_exceptions=True
        )
        for i, result in zip(failed_idx, retried):
            image_result_list[i] = result

    # print("Failed", failed_idx)
    return image_result_list