o2o-castad-backend/app/utils/autotag.py

46 lines
2.0 KiB
Python

from app.utils.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
async def autotag_image(image_url : str) -> list[str]: #tag_list
chatgpt = ChatgptService()
image_input_data = {
"img_url" : image_url,
"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, False)
return image_result
async def autotag_images(image_url_list : list[str]) -> list[dict]: #tag_list
chatgpt = ChatgptService()
image_input_data_list = [{
"img_url" : image_url,
"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'], False, silent = True) for image_input_data in image_input_data_list]
image_result_list = await asyncio.gather(*image_result_tasks, return_exceptions=True)
MAX_RETRY = 3 # 하드코딩, 어떻게 처리할지는 나중에
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'], False, silent=True) for i in failed],
return_exceptions=True
)
for i, result in zip(failed_idx, retried):
image_result_list[i] = result
print("Failed", failed_idx)
return image_result_list