#!/usr/bin/env python3
from huggingface_hub import HfApi
from huggingface_hub import hf_hub_download
import huggingface_hub
from huggingface_hub import get_repo_discussions
from bs4 import BeautifulSoup
import os

repo_id = "stabilityai/stable-diffusion"
repo_id = "huggingface-projects/diffuse-the-rest"

discussions_list = list(get_repo_discussions(repo_id=repo_id, repo_type="space"))
all_data = []
for i, disc in enumerate(discussions_list[:10]):
    disc = huggingface_hub.get_discussion_details(repo_id=repo_id, repo_type="space", discussion_num=disc.num)
    page = BeautifulSoup(disc.events[0]._event["data"]["latest"]["raw"])
    image_urls = [link.get('src') for link in page.findAll('img')]
    data = {
        "discussion_number": i,
        "data": {
          "prompt": disc.title,
          "images": image_urls,
        }
    }
    if not image_urls:
        continue
    else:
        all_data.append(data)

dataset_repo_id = "triple-t/dummy"
repo_id = "huggingface-projects/diffuse-the-rest"

file_name = "_".join(repo_id.split("/")) + ".json"
api = HfApi()

path = hf_hub_download(repo_id=dataset_repo_id, filename=file_name, cache_dir="/home/patrick_huggingface_co/image_cache", repo_type="dataset")



api.upload_file(
    path_or_fileobj=path,
    path_in_repo=file_name,
    repo_id=dataset_repo_id,
    repo_type="dataset",
)