Search

A simple Slack chat bot prototype able to reply to mentions, channel messages containing keywords, add reactions and act on the slash commands.

body: JSON.stringify({ channel, text, thread_ts }),

async function reaction(channel: string, timestamp: string, name: string = "thumbsup") {

return await fetchJSON(

"https://slack.com/api/reactions.add",

headers: { "Authorization": `Bearer ${SLACK_BOT_TOKEN}` },

await message(channel, "<@" + event.user + ">: all good!");

console.log("reaction", await reaction(channel, event.ts));

return Response.json({ ok: true });

import { REACT_DOM_MINIFIED_PT4 } from "https://esm.town/v/liamdanielduffy/REACT_DOM_MINIFIED_PT4";

import { REACT_DOM_MINIFIED_PT3 } from "https://esm.town/v/liamdanielduffy/REACT_DOM_MINIFIED_PT3";

import { REACT_DOM_MINIFIED_PT2 } from "https://esm.town/v/liamdanielduffy/REACT_DOM_MINIFIED_PT2";

import { REACT_DOM_MINIFIED_PT1 } from "https://esm.town/v/liamdanielduffy/REACT_DOM_MINIFIED_PT1";

export const REACT_DOM_MINIFIED_FINAL = [

REACT_DOM_MINIFIED_PT1,

REACT_DOM_MINIFIED_PT2,

REACT_DOM_MINIFIED_PT3,

REACT_DOM_MINIFIED_PT4,

- [ ] merge edit and view pages

- [ ] add client side navigation using htmx

- [ ] use codemirror instead of a textarea for editing text blobs

import { getDocs } from "https://esm.town/v/stevekrouse/getSqliteDateMeDocs";

let linkClass = "text-sky-600 hover:text-sky-500";

export let tursoOld = async ({ url, authToken }) => {

// https://cdn.jsdelivr.net/npm/@libsql/client/web

const { createClient } = await import("https://esm.sh/@libsql/client/web");

return createClient({

url,

import { defaultKeymap } from "https://esm.sh/@codemirror/commands";

import { history } from "https://esm.sh/@codemirror/commands";

rectangularSelection,

} from "https://esm.sh/@codemirror/view";

import { useEffect, useRef, useState } from "https://esm.sh/react";

const baseExtensions = [

EditorView.lineWrapping,

import { renderToString } from "npm:react-dom@18/server";

import { addDays } from "npm:date-fns";

.then((data) => data);

// ============= React Components =================

const Schedule = ({ data }) => {

import React from "npm:react";

export default function CodeIcon(props: React.SVGProps<SVGSVGElement>) {

return (

Add InstantSearch configuration

Create a search.js file. It will contain configuration for algoliasearch client and InstantSearch.js UI.

import algoliasearch from 'algoliasearch/lite';

import { getPropertyByPath } from 'instantsearch.js/es/lib/utils';

const searchClient = algoliasearch('L3YFVOR7YL', '7fb55c7d480ef8b1ad09b55bf3d57afd');

const search = instantsearch({

indexName: 'Test_index',

searchClient,

search.addWidgets([

import { searchBox, hits } from 'instantsearch.js/es/widgets';

const searchClient = algoliasearch('L3YFVOR7YL', '7fb55c7d480ef8b1ad09b55bf3d57afd');

const search = instantsearch({

indexName: 'demo_ecommerce',

searchClient,

search.addWidgets([

const searchClient = algoliasearch('L3YFVOR7YL', '7fb55c7d480ef8b1ad09b55bf3d57afd');

const search = instantsearch({

indexName: 'demo_ecommerce',

searchClient,

search.addWidgets([

yarn create instantsearch-app 'getting-started'

To launch the app, type inside your terminal:

shell

import { renderToString } from "npm:react-dom@18/server";

export default (req: Request) => {

return new Response(

import { React, render } from "https://esm.town/v/jxnblk/ReactStream";

function App() {

const [count, setCount] = React.useState<number>(0);

return (

import { renderToString } from "npm:react-dom/server";

export default async function(req: Request) {

return new Response(

import { activeGTrainAlerts } from "https://esm.town/v/pbt/gtrainalerts?v=36";

import { render } from "npm:preact-render-to-string";

import Uwuifier from "npm:uwuifier";

export default async function(req: Request) {

"Middletown High School South",

"Middletown, NEW JERSEY",

"President: Computer Club",

start: "2006",

end: "2010",

THIS IS NO LONGER NECESSARY

This Val will proxy anthropic HTTP requests from some frontend client, like langchain, so that you can utilize anthropic apis from the browser.

Convert it to an HTTP val in order to use it (you may want to setup an ENV var / header to protect the endpoint with a secret key)