const sdapi = require('../../sdapi_py_re') const storage = require('uxp').storage const fs = storage.localFileSystem //REFACTOR: move to events.js document .getElementById('btnImageSearch') .addEventListener('click', async function () { try { // const output_dir_relative = "./server/python_server/" const container = document.getElementById( 'divImageSearchImagesContainer' ) // const uniqueDocumentId = await getUniqueDocumentId() // const [image_paths, metadata_jsons] = await sdapi.loadHistory(uniqueDocumentId) const keywords = document.getElementById('imageSearchField').value const image_search_objs = await sdapi.imageSearch(keywords) while (container.firstChild) { container.removeChild(container.firstChild) } // let i = 0 const temp_entry = await fs.getTemporaryFolder() for (let image_search_obj of image_search_objs) { const img = document.createElement('img') // img.src = image_search_obj['image'] img.src = image_search_obj['thumbnail'] img.className = 'image-search' // img.dataset.metadata_json_string = JSON.stringify(metadata_jsons[i]) container.appendChild(img) img.addEventListener('click', async (e) => { console.log(`the image url: ${img.src}`) const link = img.src const image_file_name = 'search_image_temp.png' await io.IO.urlToLayer(link, image_file_name) // await downloadItExe(link, temp_entry, image_file_name) // const metadata_json = JSON.parse(e.target.dataset.metadata_json_string) // console.log("metadata_json: ",metadata_json) // document.querySelector('#tiSeed').value = metadata_json.Seed // document.querySelector('#historySeedLabel').textContent = metadata_json.Seed }) // i++ } } catch (e) { console.warn(`imageSearch warning: ${e}`) } })