forked from enviPath/enviPy
This PR moves all the collection pages into the new UI in a rough push. I did not put the same amount of care into these as into search, index, and predict. ## Major changes - All modals are now migrated to a state based alpine.js implementation. - jQuery is no longer present in the base layout; ajax is replace by native fetch api - most of the pps.js is now obsolte (as I understand it; the code is not referenced any more @jebus please double check) - in-memory pagination for large result lists (set to 50; we can make that configurable later; performance degrades at around 1k) stukk a bit rough tracked in #235 ## Minor things - Sarch and index also use alpine now - The loading spinner is now CSS animated (not sure if it currently gets correctly called) ## Not done - Ihave not even cheked the admin pages. Not sure If these need migrations - The temporary migration pages still use the old template. Not sure what is supposed to happen with those? @jebus ## What I did to test - opend all pages in browse, and user ; plus all pages reachable from there. - Interacted and tested the functionality of each modal superfically with exception of the API key modal (no functional test). --- This PR is massive sorry for that; just did not want to push half-brokenn state. @jebus @liambrydon I would be glad if you could click around and try to break it :) Finally closes #133 Co-authored-by: Tim Lorsbach <tim@lorsba.ch> Reviewed-on: enviPath/enviPy#236 Co-authored-by: Tobias O <tobias.olenyi@envipath.com> Co-committed-by: Tobias O <tobias.olenyi@envipath.com>
851 lines
30 KiB
JavaScript
851 lines
30 KiB
JavaScript
/////////////////////////////////////////
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// Functions to keep after refactoring //
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/////////////////////////////////////////
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var syncKetcherLock = 0;
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var ignoreKetcherUpdates = 0
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var ignoreTextFieldUpdates = 0
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// The SMILES generated by Ketcher might look different than the one inserted
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// however we need this for internal comparison to check whether the SMILES taken
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// from the TextInput generates the same smiles.
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var SMILES = "";
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// FIXME: marked for removal
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// function syncTextInputToKetcher(textInputId, ketcherId) {
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// var ketcher = getKetcher(ketcherId);
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// var textInputSMILES = $('#' + textInputId).val();
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// data = {
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// "struct": textInputSMILES,
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// "output_format": "chemical/x-mdl-molfile",
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// "options": {
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// "smart-layout": true,
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// "ignore-stereochemistry-errors": true,
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// "mass-skip-error-on-pseudoatoms": false,
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// "gross-formula-add-rsites": true
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// }
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// }
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// ketcher.server.layout(data).then(
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// function(response) {
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// if(response.struct != '') {
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// console.log("Writing " + textInputSMILES + " to Ketcher");
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// ketcher.setMolecule(textInputSMILES);
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// // Wait for ketcher to accept the change and set global SMILES
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// setTimeout(function() {
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// SMILES = ketcher.getSmiles();
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// }, 250);
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// }
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// }
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// ).catch(
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// function(res) {
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// console.log("Promise failed" + res);
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// }
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// );
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// }
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// FIXME: marked for removal
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// function syncKetcherToTextInput(ketcherId, textInputId) {
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// // Obtain values
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// var ketcher = getKetcher(ketcherId);
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// // Get the SMILES of the molecule currently drawn in Ketcher
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// var tempKetcherSMILES;
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// try {
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// tempKetcherSMILES = ketcher.getSmiles();
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// } catch(err) {
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// console.log(err);
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// return;
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// }
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// // compare to SMILES from global scope
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// if(SMILES == tempKetcherSMILES) {
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// // There was no change originating from TextInput
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// return
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// } else {
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// SMILES = tempKetcherSMILES;
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// $("#" + textInputId).val(SMILES);
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// }
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// }
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// FIXME: marked for removal
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// function syncKetcherAndTextInput(origin, ketcherId, textInputId) {
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// // check if function is "locked"
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// if(origin == 'ketcher') {
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// // Early exit - no op
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// if (ignoreKetcherUpdates == 1) {
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// return;
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// }
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// // Lock updates triggered by textInput
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// ignoreTextFieldUpdates = 1;
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// // Do the sync
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// syncKetcherToTextInput(ketcherId, textInputId);
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// ignoreTextFieldUpdates = 0;
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// } else {
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// // Early exit - no op
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// if(ignoreTextFieldUpdates == 1) {
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// return;
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// }
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// ignoreKetcherUpdates = 1;
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// // Do the sync
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// syncTextInputToKetcher(textInputId, ketcherId);
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// ignoreKetcherUpdates = 0;
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// }
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// }
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// Returns the ketcher object usually located in an iframe
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function getKetcher(idToUse){
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if (idToUse === undefined) {
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console.log("getKetcher() called without id!");
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idToUse = 'ifKetcher';
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}
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var ketcherFrame = document.getElementById(idToUse);
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if ('contentDocument' in ketcherFrame) {
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return ketcherFrame.contentWindow.ketcher;
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} else { // IE7
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return document.frames[idToUse].window.ketcher;
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}
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}
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// FIXME: marked for removal
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// function enterKeyPressed(event){
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// // 13 means return/enter
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// if (event.which == 13 || event.keyCode == 13) {
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// return false;
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// }
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// return true
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// };
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// FIXME: marked for removal
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// Function to attach an RSS feed available at feedUrl and attaches it to attachElement
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// async function loadRSSFeed(attachElement, feedUrl) {
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// try {
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// const response = await fetch(feedUrl, {
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// headers: {
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// 'Accept': 'application/rss+xml'
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// }
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// });
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// const text = await response.text();
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// const parser = new DOMParser();
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// const data = parser.parseFromString(text, 'application/xml');
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// const items = data.querySelectorAll('item');
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// items.forEach(item => {
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// const link = item.querySelector('link')?.textContent || '';
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// const title = item.querySelector('title')?.textContent || '';
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// const pubDate = item.querySelector('pubDate')?.textContent || '';
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// const description = item.querySelector('description')?.textContent || '';
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// document.getElementById(attachElement).innerHTML +=
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// '<li class="list-group-item">' +
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// '<h4 class="list-group-item-heading">' +
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// '<a target="blank" href="' + link + '">' +
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// title +
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// '</a></h4><h6>' +
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// pubDate +
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// '</h6><p>' +
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// description +
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// '</p></li>';
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// });
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// } catch (error) {
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// console.error('Error loading RSS feed:', error);
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// }
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// }
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// FIXME: marked for removal
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// function hasValue(id) {
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// var element = document.getElementById(id);
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// if(element.value === ""
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// || element.value === undefined
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// || element.value === null
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// || element.value === "undefined"){
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// return false;
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// }
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// return true;
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// }
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// FIXME: marked for removal
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// async function beforePredict(){
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// // TODO make it a parameter
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// if(!hasValue("smilesinput")) {
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// return;
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// }
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// const smilesInput = document.getElementById('smilesinput');
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// const encodedSMILES = encodeURIComponent(smilesInput.value);
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// // TODO Fix via templating to set host
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// const url = "/pathway?rootNode="+ encodedSMILES;
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// try {
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// const response = await fetch(url);
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// const result = await response.json();
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// // If something is found the returned dict contains the key "pathway" if not it contains "object"
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// if(result.pathway){
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// // TODO set as param
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// attachObjectsAsList("foundPathways", result.pathway);
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// } else {
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// document.getElementById("index-form").submit();
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// }
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// } catch (error) {
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// console.error('Error in beforePredict:', error);
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// }
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// }
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// FIXME: marked for removal
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// function attachObjectsAsList(elementId, objects){
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// var content ='<ul class="list-group">';
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// var foundone = false;
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// for (var obj in objects) {
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// if(objects[obj].reviewStatus == "reviewed"){
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// content += '<a class="list-group-item" href="' + objects[obj].id + '">';
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// content += objects[obj].name;
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// content += '</a>';
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// foundone = true;
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// }
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// }
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// content += '</ul>';
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// console.log(foundone);
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// if(foundone){
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// document.getElementById("foundPathways").innerHTML += content;
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// // Show the modal using native dialog API
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// const modal = document.getElementById("foundMatching");
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// if (modal && modal.showModal) {
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// modal.showModal();
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// }
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// } else {
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// document.getElementById("index-form").submit();
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// }
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// }
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// FIXME: marked for removal
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// class Setting {
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// constructor(nameInputId, selectedPackagesId, relativeReasoningSelectId, cutoffInputId, evaluationTypeSelectId,
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// availableTSSelectId, formsId, tableId, summaryTableId) {
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// this.nameInputId = nameInputId;
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// this.selectedPackagesId = selectedPackagesId;
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// this.relativeReasoningSelectId = relativeReasoningSelectId;
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// this.cutoffInputId = cutoffInputId;
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// this.evaluationTypeSelectId = evaluationTypeSelectId;
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// this.availableTSSelectId = availableTSSelectId;
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// this.formsId = formsId;
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// this.tableId = tableId;
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// this.summaryTableId = summaryTableId;
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// // General settings
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// this.name = null;
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// this.selectedPackages = [];
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// // Relative Reasoning related
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// this.selectedRelativeReasoning = null;
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// this.cutoff = null;
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// this.evaluationType = null;
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// // parameters such as { "lowPH": 7, "highPH": 8 }
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// this.tsParams = {};
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// }
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// FIXME: marked for removal
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// extractName() {
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// var tempName = $('#' + this.nameInputId).val()
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// if (tempName == '') {
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// console.log("Name was empty...");
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// return;
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// }
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// this.name = tempName;
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// }
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// extractSelectedPackages() {
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// var selPacks = $("#" + this.selectedPackagesId + " :selected");
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// var ref = this;
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// ref.selectedPackages = [];
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// selPacks.each(function () {
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// var obj = {}
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// obj['id'] = this.value;
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// obj['name'] = this.text;
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// ref.selectedPackages.push(obj);
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// });
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// }
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// extractRelativeReasoning() {
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// var tempRR = $('#' + this.relativeReasoningSelectId + " :selected").val()
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// if (tempRR == '') {
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// console.log("RR was empty...");
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// return;
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// }
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// var obj = {}
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// obj['id'] = $('#' + this.relativeReasoningSelectId + " :selected").val()
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// obj['name'] = $('#' + this.relativeReasoningSelectId + " :selected").text()
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// this.selectedRelativeReasoning = obj;
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// }
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// extractCutoff() {
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// var tempCutoff = $('#' + this.cutoffInputId).val()
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// if (tempCutoff == '') {
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// console.log("Cutoff was empty...");
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// return;
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// }
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// this.cutoff = tempCutoff;
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// }
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// extractEvaluationType() {
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// var tempEvaluationType = $('#' + this.evaluationTypeSelectId).val()
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// if (tempEvaluationType == '') {
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// console.log("EvaluationType was empty...");
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// return;
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// }
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// this.evaluationType = tempEvaluationType;
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// }
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// addTruncator() {
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// // triggered by "Add"
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// // will extract values and afterwards updates table + summary
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// var type = $("#" + this.availableTSSelectId + " :selected").val();
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// var text = $("#" + this.availableTSSelectId + " :selected").text();
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// var form = $("#" + type + "_form > :input")
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// // flag to check whether at least one input had a valid value
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// var addedValue = false;
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// // reference being used in each
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// var ref = this;
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// form.each(function() {
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// if(this.value == "" || this.value === "undefined"){
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// console.log(this);
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// console.log("Skipping " + this.name);
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// } else {
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// var obj = {}
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// obj[this.name] = this.value;
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// obj['text'] = text;
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// ref.tsParams[type] = obj
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// }
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// });
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// this.updateTable();
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// this.updateSummaryTable();
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// }
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// removeTruncator(rowId) {
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// var summary = rowId.startsWith("sum") ? true : false;
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// // plain key
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// var key = rowId.replace(summary ? "sum" : "trunc", "").replace("row", "");
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// console.log("Removing " + key);
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// // remove the rows
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// $("#trunc"+ key + "row").remove();
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// if($("#sum"+ key + "row").length > 0) {
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// $("#sum"+ key + "row").remove();
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// }
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// delete this.tsParams[key];
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// }
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// updateTable() {
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// // remove all children
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// $('#'+this.tableId + "Body").empty()
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// var innerHTML = "<tr>" +
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// "<td>Name</td>" +
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// "<td>Value</td>" +
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// "<td width='10%'>Action</td>" +
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// "</tr>";
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// for (var x in this.tsParams) {
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// var val = "";
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// for (var y in this.tsParams[x]){
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// if (y == 'text') {
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// continue;
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// }
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// val += this.tsParams[x][y]
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// }
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// innerHTML += "<tr id='trunc" + x + "row'>" +
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// "<td>" + this.tsParams[x]['text'] + "</td>" +
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// "<td>" + val + "</td>" +
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// "<td width='10%'>"+
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// "<button type='button' id='" + x + "button' class='form-control' onclick='s.removeTruncator(\"trunc" + x + "row\")'>Remove</button>" +
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// "</td>" +
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// "</tr>";
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// }
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// $('#'+this.tableId + "Body").append(innerHTML);
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// }
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// packageRows() {
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// var res = '';
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// for(var p in this.selectedPackages) {
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// var obj = this.selectedPackages[p];
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// res += "<tr>" +
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// "<td>Package</td>" +
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// "<td>" + obj['name'] + "</td>" +
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// "<td width='10%'>" +
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// // "<button type='button' id='relativereasoningbutton' class='form-control' onclick='s.removeTruncator(\"Relative Reasoning\")'>Remove</button>" +
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// "</td>" +
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// "</tr>";
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// }
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// return res;
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// }
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// modelRow() {
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// if(this.selectedRelativeReasoning == null) {
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// return '';
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// }
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// return "<tr>" +
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// "<td>Relative Reasoning</td>" +
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// "<td>" + this.selectedRelativeReasoning['name'] + " " + (this.evaluationType == "singleGen" ? "SG" : "MG") + " with t=" + this.cutoff + " </td>" +
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// "<td width='10%'>" +
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// // "<button type='button' id='relativereasoningbutton' class='form-control' onclick='s.removeTruncator(\"Relative Reasoning\")'>Remove</button>" +
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// "</td>" +
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// "</tr>";
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// }
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// updateSummaryTable() {
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// // remove all children
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// $('#'+this.summaryTableId + "Body").empty()
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// var innerHTML = "<tr>" +
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// "<td>Name</td>" +
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// "<td>Value</td>" +
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// "<td width='10%'>Action</td>" +
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// "</tr>";
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// innerHTML += this.packageRows();
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// innerHTML += this.modelRow();
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// // var innerHTML = ''
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// for (var x in this.tsParams) {
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// var val = "";
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// for (var y in this.tsParams[x]){
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// if (y == 'text') {
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// continue;
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// }
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// val += this.tsParams[x][y]
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// }
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// innerHTML += "<tr id='sum" + x + "row'>" +
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// "<td>" + this.tsParams[x]['text'] + "</td>" +
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// "<td>" + val + "</td>" +
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// "<td width='10%'>"+
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// "<button type='button' id='" + x + "button' class='form-control' onclick='s.removeTruncator(\"sum" + x + "row\")'>Remove</button>" +
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// "</td>" +
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// "</tr>";
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// }
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// $('#'+this.summaryTableId + "Body").append(innerHTML);
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// }
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// }
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// TODO
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function queryResultToTable(appendId, result) {
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const container = document.getElementById(appendId);
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container.innerHTML = '';
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var table = '<table class="table">' +
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'<thead class="thead-dark">' +
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'<tr>';
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var header = '';
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for (var r in result['result']) {
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var keys = Object.keys(result['result'][r]);
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for (var k in keys) {
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header += '<th>' + keys[k] + '</th>';
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}
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break;
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}
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table += header;
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table += '</tr>';
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table += '</thead>';
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table += '<tbody>';
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var body = '';
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for (var r in result['result']) {
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body += '<tr>';
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for (var k in result['result'][r]) {
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body += '<td>' + result['result'][r][k] + '</td>';
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}
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body += '</tr>';
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}
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table += body;
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table += '</tbody>';
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table += '</table>';
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container.innerHTML = table;
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}
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function showLoadingSpinner(attachOb) {
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// Benzene ring spinner - hexagon with rotating double bonds
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const spinnerHtml = `<div class="loading-spinner">
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<svg viewBox="0 0 58 66">
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<!-- Outer hexagon (static) -->
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<path class="hexagon" d="M1 49v-32l28-16 28 16v32l-28 16z" fill="none" stroke="currentColor"/>
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<!-- Inner double bonds (rotating) -->
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<g class="double-bonds">
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<path d="M52.7 19.5 L29 6" fill="none" stroke="currentColor"/>
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<path d="M29 60 L52.7 46.5" fill="none" stroke="currentColor"/>
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<path d="M5.5 19.5 v27" fill="none" stroke="currentColor"/>
|
|
</g>
|
|
</svg>
|
|
</div>`;
|
|
|
|
// Handle both ID selectors and DOM elements
|
|
let element;
|
|
if (typeof attachOb === 'string') {
|
|
element = attachOb.startsWith('#')
|
|
? document.querySelector(attachOb)
|
|
: document.getElementById(attachOb);
|
|
} else {
|
|
element = attachOb;
|
|
}
|
|
|
|
if (element) {
|
|
element.innerHTML = spinnerHtml;
|
|
}
|
|
}
|
|
|
|
// Keep old function name for backwards compatibility
|
|
function makeLoadingGif(attachOb) {
|
|
showLoadingSpinner(attachOb);
|
|
}
|
|
|
|
// FIXME: marked for removal
|
|
// function cleanIdName(idName) {
|
|
// return idName.replace(/[ \-()]/g, "")
|
|
// }
|
|
|
|
// FIXME: marked for removal
|
|
// function makeAccordionHead(accordionId, accordionTitle, reviewStatus) {
|
|
// return "<div class='panel-group' id='" + accordionId + "'>"
|
|
// + "<div class='panel panel-default'>"
|
|
// + "<div class='panel-heading' id='headingPanel' style='font-size:2rem;height: 46px'>"
|
|
// + accordionTitle + reviewStatus
|
|
// + "</div><div id='descDiv'></div>"
|
|
// + "</div>";
|
|
// }
|
|
|
|
// FIXME: marked for removal
|
|
// function makeAccordionPanel(accordionId, panelName, panelContent, collapsed, id) {
|
|
// if(panelContent == "" || panelContent == "no description") {
|
|
// return "";
|
|
// }
|
|
// if(collapsed == true) {
|
|
// collapsed = "in";
|
|
// } else {
|
|
// collapsed = "";
|
|
// }
|
|
// var panelId = typeof id === "undefined" ? cleanIdName(panelName) : id;
|
|
// return "<div class='panel panel-default panel-heading list-group-item' style='background-color:silver'>"
|
|
// + "<h4 class='panel-title'>"
|
|
// + "<a id=" + panelId + "Link" + " data-toggle='collapse' data-parent='#" + accordionId + "' href='#" + panelId + "'>"
|
|
// + panelName
|
|
// + "</a>"
|
|
// + "</h4>"
|
|
// + "</div>"
|
|
// + "<div id='" + panelId + "' class='panel-collapse collapse " + collapsed + "'>"
|
|
// + "<div class='panel-body list-group-item' id='"+panelId+"Content'>"
|
|
// + panelContent
|
|
// + "</div>"
|
|
// + "</div>";
|
|
// }
|
|
|
|
// FIXME: marked for removal
|
|
// async function fillPRCurve(modelUri, onclick){
|
|
// if (modelUri == '') {
|
|
// return;
|
|
// }
|
|
|
|
// // clear div
|
|
// const plotDiv = document.getElementById('plotDiv');
|
|
// plotDiv.innerHTML = '';
|
|
|
|
// // for the time being add animation
|
|
// makeLoadingGif('#plotDiv');
|
|
|
|
// try {
|
|
// const response = await fetch(modelUri + "?prcurve");
|
|
// const result = await response.json();
|
|
|
|
// // remove loading gif
|
|
// plotDiv.innerHTML = '';
|
|
|
|
// // check if model is in a proper state
|
|
// if(result.hasOwnProperty('error')){
|
|
// var content = '<div>'+result.error+' \nYou can check the model <a href="' + modelUri + '">here</a>. </div>';
|
|
// plotDiv.innerHTML += content;
|
|
// return
|
|
// }
|
|
|
|
// var chartPanel = '<div id="chart" class="panel-group"></div>';
|
|
// plotDiv.innerHTML += chartPanel;
|
|
|
|
// // Labels
|
|
// var x = ['Recall'];
|
|
// var y = ['Precision'];
|
|
// var thres = ['threshold'];
|
|
|
|
// // Compare function for the given array
|
|
// function compare(a, b) {
|
|
// if (a.threshold < b.threshold)
|
|
// return -1;
|
|
// else if (a.threshold > b.threshold)
|
|
// return 1;
|
|
// else
|
|
// return 0;
|
|
// }
|
|
|
|
// // gets the index for a certain value
|
|
// function getIndexForValue(data, val, val_name) {
|
|
// for(var idx in data) {
|
|
// if(data[idx][val_name] == val) {
|
|
// return idx;
|
|
// }
|
|
// }
|
|
// return -1;
|
|
// }
|
|
|
|
// var data = result.prdata;
|
|
// var dataLength = Object.keys(data).length;
|
|
// data.sort(compare);
|
|
|
|
// // collect data in 3 individual arrays
|
|
// for (var idx in data) {
|
|
// var d = data[idx];
|
|
// x.push(d.recall);
|
|
// y.push(d.precision);
|
|
// thres.push(d.threshold);
|
|
// }
|
|
|
|
// // generate the actual chart with values collected above
|
|
// var chart = c3.generate({
|
|
// bindto: '#chart',
|
|
// data: {
|
|
// onclick: function (d, e) {
|
|
// var idx = d.index;
|
|
// var thresh = data[dataLength-idx-1].threshold;
|
|
|
|
// onclick(thresh)
|
|
|
|
// },
|
|
// x: 'Recall',
|
|
// y: 'Precision',
|
|
// columns: [
|
|
// x,
|
|
// y,
|
|
// //thres
|
|
// ]
|
|
// },
|
|
// size: {
|
|
// height: 400, // TODO: Make variable to current modal width
|
|
// width: 480
|
|
// },
|
|
// axis: {
|
|
// x: {
|
|
// max: 1,
|
|
// min: 0,
|
|
// label: 'Recall',
|
|
// padding: 0,
|
|
// tick: {
|
|
// fit: true,
|
|
// values: [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]
|
|
// }
|
|
// },
|
|
// y: {
|
|
// max: 1,
|
|
// min: 0,
|
|
// label: 'Precision',
|
|
// padding: 0,
|
|
// tick: {
|
|
// fit: true,
|
|
// values: [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]
|
|
// }
|
|
// }
|
|
// },
|
|
// point: {
|
|
// r: 4
|
|
// },
|
|
// tooltip: {
|
|
// format: {
|
|
// title: function (recall) {
|
|
// idx = getIndexForValue(data, recall, "recall");
|
|
// if(idx != -1) {
|
|
// return "Threshold: " + data[idx].threshold;
|
|
// }
|
|
// return "";
|
|
// },
|
|
// value: function (precision, ratio, id) {
|
|
// return undefined;
|
|
// }
|
|
// }
|
|
// },
|
|
// zoom: {
|
|
// enabled: true
|
|
// }
|
|
// });
|
|
|
|
// } catch (error) {
|
|
// console.error('Error loading PR curve:', error);
|
|
// const plotDiv = document.getElementById('plotDiv');
|
|
// plotDiv.innerHTML = '<div>Error loading PR curve data.</div>';
|
|
// }
|
|
// }
|
|
|
|
|
|
function handleAssessmentResponse(depict_url, data) {
|
|
var inside_app_domain = "<a class='list-group-item'>This compound is " + (data["assessment"]["inside_app_domain"] ? "inside" : "outside") + " the Applicability Domain derived from the chemical (PCA) space constructed using the training data." + "</a>";
|
|
var functionalGroupsImgSrc = null;
|
|
var reactivityCentersImgSrc = null;
|
|
|
|
if (data['assessment']['node'] !== undefined) {
|
|
functionalGroupsImgSrc = "<img width='400' src='" + data['assessment']['node']['image'] + "&highlight=true'>";
|
|
reactivityCentersImgSrc = "<img width='400' src='" + data['assessment']['node']['image'] + "&highlightReactivity=true'>"
|
|
} else {
|
|
functionalGroupsImgSrc = "<img width='400' src=\"" + depict_url + "?smiles=" + encodeURIComponent(data['assessment']['smiles']) + "\">";
|
|
reactivityCentersImgSrc = "<img width='400' src=\"" + depict_url + "?smiles=" + encodeURIComponent(data['assessment']['smiles']) + "\">"
|
|
}
|
|
|
|
tpl = `<div class="panel panel-default panel-heading list-group-item" style="background-color:silver">
|
|
<h4 class="panel-title">
|
|
<a id="app-domain-assessment-functional-groups-link" data-toggle="collapse" data-parent="#app-domain-assessment" href="#app-domain-assessment-functional-groups">Functional Groups Covered by Model</a>
|
|
</h4>
|
|
</div>
|
|
<div id="app-domain-assessment-functional-groups" class="panel-collapse collapse">
|
|
<div class="panel-body list-group-item">
|
|
${inside_app_domain}
|
|
<p></p>
|
|
<div id="image-div" align="center">
|
|
${functionalGroupsImgSrc}
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="panel panel-default panel-heading list-group-item" style="background-color:silver">
|
|
<h4 class="panel-title">
|
|
<a id="app-domain-assessment-reactivity-centers-link" data-toggle="collapse" data-parent="#app-domain-assessment" href="#app-domain-assessment-reactivity-centers">Reactivity Centers</a>
|
|
</h4>
|
|
</div>
|
|
<div id="app-domain-assessment-reactivity-centers" class="panel-collapse collapse">
|
|
<div class="panel-body list-group-item">
|
|
<div id="image-div" align="center">
|
|
${reactivityCentersImgSrc}
|
|
</div>
|
|
</div>
|
|
</div>`
|
|
|
|
var transformations = '';
|
|
|
|
for (t in data['assessment']['transformations']) {
|
|
transObj = data['assessment']['transformations'][t];
|
|
var neighbors = '';
|
|
for (n in transObj['neighbors']) {
|
|
neighObj = transObj['neighbors'][n];
|
|
var neighImg = "<img width='100%' src='" + transObj['rule']['url'] + "?smiles=" + encodeURIComponent(neighObj['smiles']) + "'>";
|
|
var objLink = `<a class='list-group-item' href="${neighObj['url']}">${neighObj['name']}</a>`
|
|
var neighPredProb = "<a class='list-group-item'>Predicted probability: " + neighObj['probability'].toFixed(2) + "</a>";
|
|
|
|
var pwLinks = '';
|
|
for (pw in neighObj['related_pathways']) {
|
|
var pwObj = neighObj['related_pathways'][pw];
|
|
pwLinks += "<a class='list-group-item' href=" + pwObj['url'] + ">" + pwObj['name'] + "</a>";
|
|
}
|
|
|
|
var expPathways = `
|
|
<div class="panel panel-default panel-heading list-group-item" style="background-color:silver">
|
|
<h4 class="panel-title">
|
|
<a id="transformation-${t}-neighbor-${n}-exp-pathway-link" data-toggle="collapse" data-parent="#transformation-${t}-neighbor-${n}" href="#transformation-${t}-neighbor-${n}-exp-pathway">Experimental Pathways</a>
|
|
</h4>
|
|
</div>
|
|
<div id="transformation-${t}-neighbor-${n}-exp-pathway" class="panel-collapse collapse">
|
|
<div class="panel-body list-group-item">
|
|
${pwLinks}
|
|
</div>
|
|
</div>
|
|
`
|
|
|
|
if (pwLinks === '') {
|
|
expPathways = ''
|
|
}
|
|
|
|
neighbors += `
|
|
<div class="panel panel-default panel-heading list-group-item" style="background-color:silver">
|
|
<h4 class="panel-title">
|
|
<a id="transformation-${t}-neighbor-${n}-link" data-toggle="collapse" data-parent="#transformation-${t}" href="#transformation-${t}-neighbor-${n}">Analog Transformation on ${neighObj['name']}</a>
|
|
</h4>
|
|
</div>
|
|
<div id="transformation-${t}-neighbor-${n}" class="panel-collapse collapse">
|
|
<div class="panel-body list-group-item">
|
|
${objLink}
|
|
${neighPredProb}
|
|
${expPathways}
|
|
<p></p>
|
|
<div id="image-div" align="center">
|
|
${neighImg}
|
|
</div>
|
|
</div>
|
|
</div>
|
|
`
|
|
}
|
|
|
|
var panelName = null;
|
|
var objLink = null;
|
|
if (transObj['is_predicted']) {
|
|
panelName = `Predicted Transformation by ${transObj['rule']['name']}`;
|
|
for (e in transObj['edges']) {
|
|
objLink = `<a class='list-group-item' href="${transObj['edges'][e]['url']}">${transObj['edges'][e]['name']}</a>`
|
|
break;
|
|
}
|
|
} else {
|
|
panelName = `Potential Transformation by applying ${transObj['rule']['name']}`;
|
|
objLink = `<a class='list-group-item' href="${transObj['rule']['url']}">${transObj['rule']['name']}</a>`
|
|
}
|
|
|
|
var predProb = "<a class='list-group-item'>Predicted probability: " + transObj['probability'].toFixed(2) + "</a>";
|
|
var timesTriggered = "<a class='list-group-item'>This rule has triggered " + transObj['times_triggered'] + " times in the training set</a>";
|
|
var reliability = "<a class='list-group-item'>Reliability: " + transObj['reliability'].toFixed(2) + " (" + (transObj['reliability'] > data['ad_params']['reliability_threshold'] ? ">" : "<") + " Reliability Threshold of " + data['ad_params']['reliability_threshold'] + ") </a>";
|
|
var localCompatibility = "<a class='list-group-item'>Local Compatibility: " + transObj['local_compatibility'].toFixed(2) + " (" + (transObj['local_compatibility'] > data['ad_params']['local_compatibility_threshold'] ? ">" : "<") + " Local Compatibility Threshold of " + data['ad_params']['local_compatibility_threshold'] + ")</a>";
|
|
|
|
var transImg = "<img width='100%' src='" + transObj['rule']['url'] + "?smiles=" + encodeURIComponent(data['assessment']['smiles']) + "'>";
|
|
|
|
var transformation = `
|
|
<div class="panel panel-default panel-heading list-group-item" style="background-color:silver">
|
|
<h4 class="panel-title">
|
|
<a id="transformation-${t}-link" data-toggle="collapse" data-parent="#transformation-${t}" href="#transformation-${t}">${panelName}</a>
|
|
</h4>
|
|
</div>
|
|
<div id="transformation-${t}" class="panel-collapse collapse">
|
|
<div class="panel-body list-group-item">
|
|
${objLink}
|
|
${predProb}
|
|
${timesTriggered}
|
|
${reliability}
|
|
${localCompatibility}
|
|
<p></p>
|
|
<div id="image-div" align="center">
|
|
${transImg}
|
|
</div>
|
|
<p></p>
|
|
${neighbors}
|
|
</div>
|
|
</div>
|
|
`
|
|
transformations += transformation;
|
|
}
|
|
|
|
res = tpl + transformations;
|
|
|
|
document.getElementById('appDomainAssessmentResultTable').innerHTML += res;
|
|
|
|
}
|