import { GM_getValue, GM_xmlhttpRequest } from 'vite-plugin-monkey/dist/client';

export const DANBOORU_API = "https://danbooru.donmai.us"
const SAUCENAO_KEY = "debugging only"

export type booru_post = {
  id: number,
  timestamp: string,
  source_domain: string,
  thumbnail: string,
  img_width: number,
  img_height: number
}

export async function tweet_search(id:string,username:string) : Promise<Array<booru_post>> {
  const posts_api = `${DANBOORU_API}/posts.json`
  const tweet_url = `https://twitter.com/${username}/status/${id}`;

  const posts_url = new URL(posts_api);
  posts_url.searchParams.append('tags',`status:any source:${tweet_url}`);
  posts_url.searchParams.append('limit',`5`);

  const booru_request = new Promise<string>((res,rej) => {
    GM_xmlhttpRequest({
      url: posts_url.toString(),
      method:'GET',
      responseType: 'json',
      anonymous:true,
      onload: (response) => res(response.responseText),
      onerror: (error) => rej(error) 
    })
  })

  const response = await booru_request
  const posts:any[] = JSON.parse(response)

  //console.debug({grape:posts})

  const result = posts.map<booru_post>( post => {
    const preview = post.media_asset.variants?.find( (v:any) => v.type=="preview" || v.type=="180x180")
    const source_domain = new URL(post.source).hostname

    return {
      id: post.id,
      timestamp: post.created_at,
      source_domain: source_domain,
      thumbnail: preview?.url,
      img_width: post.image_width,
      img_height: post.image_height
    }
  })

  return result
}

export async function iqdb_search(media_url:string) : Promise<Array<booru_post>> {
  const iqdb_api = `${DANBOORU_API}/iqdb_queries.json`

  const iqdb_url = new URL(iqdb_api);
  iqdb_url.searchParams.append('url',media_url);
  iqdb_url.searchParams.append('similarity','80');
  iqdb_url.searchParams.append('limit','5');


  const booru_request = new Promise<string>((res,rej) => {
    GM_xmlhttpRequest({
      url: iqdb_url.toString(),
      method:'GET',
      responseType: 'json',
      anonymous:true,
      onload: (response) => res(response.responseText),
      onerror: (error) => rej(error) 
    })
  })

  const response = await booru_request
  const iqdb_res = JSON.parse(response) as any[]

  const result = iqdb_res.map<booru_post>( i => {
    const post = i.post;
    const preview = post.media_asset.variants?.find( (v:any) => v.type=="preview" || v.type=="180x180")
    const source_domain = new URL(post.source).hostname

    return {
      id: post.id,
      timestamp: post.created_at,
      source_domain: source_domain,
      thumbnail: preview?.url,
      img_width: post.image_width,
      img_height: post.image_height
    }

  })

  return result
}

type sauce_response = {
  header: any,
  results: sauce_item[]
}

type sauce_item = {
  header: {
    similarity : string,
    thumbnail : string
  },
  data: {
    danbooru_id: number,
    source: string
  }
}

export async function saucenao_search(media_url:string) {

  const saucenao_key = GM_getValue('DunkOatmeal_SNKey','');
  if ( !saucenao_key ) {
    alert("SauceNAO API required. \nGo to Profile Menu > Settings to add it.")
    return []
  }

  const danbo_bm = 0b1000000000;
  //const pixiv_bm = 0b0000100000;
  const bitmask  = danbo_bm //| pixiv_bm;
  const min_similarity   = 80

  const sauce_api = `http://saucenao.com/search.php`;
  const sauce_url = new URL(sauce_api);
  sauce_url.searchParams.append('numres','5');
  sauce_url.searchParams.append('output_type','2');
  sauce_url.searchParams.append('dbmask',String(bitmask));
  sauce_url.searchParams.append('api_key',saucenao_key);
  sauce_url.searchParams.append('url',media_url);
  
  const booru_request = new Promise<string>((res,rej) => {
    GM_xmlhttpRequest({
      url: sauce_url.toString(),
      method:'GET',
      responseType: 'json',
      anonymous:true,
      onload: (response) => res(response.responseText),
      onerror: (error) => rej(error) 
    })
  })

  const response = await booru_request
  const sauce_res:sauce_response = JSON.parse(response)

  console.debug({sauce:sauce_res})

  const result = sauce_res.results
    .filter(x => Number(x.header.similarity) >= min_similarity )
    .map<booru_post>( s => {
      const danbo = s.data;
      const preview = s.header.thumbnail;
      const source_domain = new URL(danbo.source).hostname

      return {
        id: danbo.danbooru_id,
        timestamp: "",
        source_domain: source_domain,
        thumbnail: preview,
        img_width: -1,
        img_height: -1
      }
  })
  return result;
}