chatGPT nav menu filter

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

You will need to install an extension such as Tampermonkey, Greasemonkey or Violentmonkey to install this script.

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

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

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

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

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

(I already have a user script manager, let me install it!)

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.

ستحتاج إلى تثبيت إضافة مثل Stylus لتثبيت هذا النمط.

ستحتاج إلى تثبيت إضافة لإدارة أنماط المستخدم لتتمكن من تثبيت هذا النمط.

ستحتاج إلى تثبيت إضافة لإدارة أنماط المستخدم لتثبيت هذا النمط.

ستحتاج إلى تثبيت إضافة لإدارة أنماط المستخدم لتثبيت هذا النمط.

(لدي بالفعل مثبت أنماط للمستخدم، دعني أقم بتثبيته!)

// ==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();
})();