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6import { JSDOM } from 'npm:jsdom';
7
8// Function to fetch HTML from a URL and remove <style> and <script> tags
9export async function fetchHtml(url, removeSelectors = "style, script, link, noscript, frame, iframe, comment") {
10  try {
11    const response = await fetch(url);
22}
23
24// Function to use Cheerio to select text from the html, and attempts to clean it a bit
25export function selectHtml(html, selector = "h1", removeSelectors = "style, script, link, noscript, frame, iframe, comment") {
26  const $ = cheerio.load(html);  // Load the cleaned HTML into Cheerio
27  $(removeSelectors).remove();  // Remove unwanted tags
37}
38
39// Function to convert HTML to Pug using html2pug
40export function convertHtmlToPug(html, options = { tabs: true }) {
41  const pug = html2pug(html, options);
42  return pug;
59}
60
61export function convertHtmlToMarkdown(htmlStr: string, options?: ConversionOptions): string {
62  const dom = new JSDOM(htmlStr);
63  const markdown = semanticMarkdown(htmlStr, { ...options, overrideDOMParser: new dom.window.DOMParser() });

2import { fetchJSON } from "https://esm.town/v/stevekrouse/fetchJSON";
3
4export async function dailyDadJoke() {
5  let { setup, punchline } = await fetchJSON("https://official-joke-api.appspot.com/random_joke");
6  return email({

2import { easyAQI } from "https://esm.town/v/stevekrouse/easyAQI?v=5";
3
4export async function aqi(interval: Interval) {
5  const location = "Zürich, Schweiz"; // <-- change to place, city, or zip code
6  const data = await easyAQI({ location });

16const FOODS = ["🍎", "🍌", "🥕", "🍖", "🍣"];
17
18function App() {
19  const [pet, setPet] = useState(null);
20  const [loading, setLoading] = useState(true);
77}
78
79function client() {
80  createRoot(document.getElementById("root")).render(<App />);
81}
85}
86
87async function server(request: Request): Promise<Response> {
88  const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite");
89  const SCHEMA_VERSION = 1;
138}
139
140async function getPet() {
141  const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite");
142  const SCHEMA_VERSION = 1;
164}
165
166async function updatePet(action) {
167  const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite");
168  const SCHEMA_VERSION = 1;

1import { sqlite as valtown_sqlite } from "https://esm.town/v/std/sqlite";
2
3export async function migrate(
4  sqlite: typeof valtown_sqlite,
5  key: string,

69};
70
71function App() {
72  const [grid, setGrid] = useState(initialGrid);
73  const [moves, setMoves] = useState([]);
354}
355
356function client() {
357  createRoot(document.getElementById("root")).render(<App />);
358}
359if (typeof document !== "undefined") { client(); }
360
361async function server(request: Request): Promise<Response> {
362  const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite");
363  const SCHEMA_VERSION = 1

1import { fetchJSON } from "https://esm.town/v/stevekrouse/fetchJSON";
2
3export async function getWeather(location: string): Promise<WeatherResponse> {
4  return fetchJSON(`https://wttr.in/${location}?format=j1`);
5}

1## Get Weather
2
3Simple function to get weather data from the free [wttr.in](https://wttr.in/:help) service.
4
5```ts

2// and creates a simple form to generate a calendar of events occurring before sunset.
3
4async function server(request: Request): Promise<Response> {
5  try {
6    const url = new URL(request.url);
79}
80
81async function generateSunsetEvents(action: string, minutesBefore: number, endDate: Date) {
82  const events = [];
83  let currentDate = new Date();
105}
106
107async function getSunsetTime(date: Date): Promise<Date> {
108  const formattedDate = `${date.getFullYear()}-${(date.getMonth() + 1).toString().padStart(2, '0')}-${date.getDate().toString().padStart(2, '0')}`;
109  const response = await fetch(`https://api.sunrise-sunset.org/json?lat=40.7128&lng=-74.0060&date=${formattedDate}&formatted=0`);

27// we create a OpenAI Tool that takes our schema as argument
28const extractContentTool: any = {
29  type: "function",
30  function: {
31    name: "extract_content",
32    description: "Extracts the content from the given webpage(s)",
56
57// we retrieve the serialized arguments generated by OpenAI
58const result = completion.choices[0].message.tool_calls![0].function.arguments;
59// the serialized arguments are parsed into a valid JavaScript array of objects
60const parsed = schema.parse(JSON.parse(result));