chatGPT nav menu filter

Filter anchors in nav elements by keyword inputted by user in real time.

Bu betiği kurabilmeniz için Tampermonkey, Greasemonkey ya da Violentmonkey gibi bir kullanıcı betiği eklentisini kurmanız gerekmektedir.

You will need to install an extension such as Tampermonkey to install this script.

Bu betiği kurabilmeniz için Tampermonkey ya da Violentmonkey gibi bir kullanıcı betiği eklentisini kurmanız gerekmektedir.

Bu betiği kurabilmeniz için Tampermonkey ya da Userscripts gibi bir kullanıcı betiği eklentisini kurmanız gerekmektedir.

You will need to install an extension such as Tampermonkey to install this script.

Bu komut dosyasını yüklemek için bir kullanıcı komut dosyası yöneticisi uzantısı yüklemeniz gerekecek.

(Zaten bir kullanıcı komut dosyası yöneticim var, kurmama izin verin!)

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(Zateb bir user-style yöneticim var, yükleyeyim!)

// ==UserScript==
// @name         chatGPT nav menu filter
// @name:zh      chatGPT左方列表遮罩
// @namespace    openai
// @version      0.1
// @author       https://github.com/jctneko/
// @description  Filter anchors in nav elements by keyword inputted by user in real time.
// @match        https://chat.openai.com/*
// @run-at       document-idle
// @license      You can modify as long as you credit me
// ==/UserScript==

/*
  Note: The OpenAI interface frequent updates, which can sometimes cause issues with this userscript.
  Please report any issues you encounter, and I will make the necessary corrections.
*/

(() => {
  'use strict';

  const observers = {};

  const createInput = () => {
    const inputNode = document.createElement('input');
    inputNode.type = 'text';
    inputNode.id = 'filterKeyword';
    inputNode.style.cssText = 'position: fixed; top:5px; left: 270px; color: white; background-color:#444654; padding:0 5px;';
    inputNode.placeholder = 'filter_';
    document.body.appendChild(inputNode);
    return inputNode;
  }

  const observeFetch = (urlToObserve, onStart, onFinish) => {
    observers[urlToObserve] = { onStart, onFinish };
  }

  const moveLinks = (filterText) => {
    const navLinks = document.querySelectorAll('nav a');
    navLinks.forEach((link) => {
      link.style.cssText = link.innerText.includes(filterText) ? '' : 'position: absolute; left: -300px;';
    });
    console.log('[gptFilter] items hided.');
  }

  const updateNavLinks = () => {
    const inputNode = document.getElementById('filterKeyword');
    if (inputNode) {
      setTimeout(() => {
        moveLinks(inputNode.value)
      }, 500);
    }
  }

  const handleInputChange = (event) => {
    moveLinks(event.target.value);
  }

  const bindEvents = (inputNode) => {
    let interval = setInterval(() => {
      if (unsafeWindow.next) {
        inputNode.addEventListener('input', handleInputChange);
        unsafeWindow.next.router.events.on('routeChangeComplete', updateNavLinks);
        console.log('[gptFilter] event binded');
        clearInterval(interval);
      }
    }, 1000);

    unsafeWindow.fetch = new Proxy(unsafeWindow.fetch, {
      apply: function(target, thisArg, argumentsList) {
          const [url, options, ...args] = argumentsList;
          const observer = Object.keys(observers).find(key => url.includes(key));

          if (observer) {
              const { onStart, onFinish } = observers[observer];
              onStart && onStart(url, options, ...args);
              return target(url, options, ...args).then(response => {
                  onFinish && onFinish(response);
                  return response;
              });
          }

          return target.apply(thisArg, argumentsList);
      }
    });
  }

  const init = () => {
    const inputNode = createInput();
    bindEvents(inputNode);
  }

  observeFetch(
      "https://chat.openai.com/backend-api/conversations",
      (url, options, ...args) => {
          // console.log("Fetch started: ", url);
      },
      (response) => {
          console.log('[gptFilter] Nav element updated');
          // console.log("Fetch finished: ", response.url);
          updateNavLinks();
      }
  );

  init();
})();