Public vals
86
yawnxyz
eventsy
Script
The Eventsy class represents a system for logging and managing events. It utilizes Dobby for database operations and provides methods for logging events, retrieving events by type, performing full-text searches, and more. This class is designed to be flexible and adaptable to various event logging needs.
0
yawnxyz
htmlkit
Script
This module provides functions to convert HTML to various formats such as Markdown, Pug, and Turndown.
It also includes utilities to fetch HTML from a URL, extract metadata, and clean HTML by removing unwanted selectors.
Dependencies include Cheerio for HTML parsing, JSDOM for DOM manipulation, and Turndown for converting HTML to Markdown.
0
yawnxyz
selectHtml
Script
SelectHtml is a Deno-based HTML scraper that integrates AI with Cheerio and Pug. This tool allows you to fetch, clean, and manipulate HTML content from URLs, using the Cheerio library to select and clean the HTML elements, and html2pug to convert HTML into Pug templates. Deprecated; use htmlTo instead, as that one supports more formats: https://www.val.town/v/yawnxyz/htmlTo
0
yawnxyz
dobby
Script
Simple wrapper class around valtown's sqlite https://www.val.town/v/yawnxyz/dobby // Example usage:
const dobby = new Dobby("myDatabase", [
{ name: "id", type: "INTEGER", primaryKey: true },
{ name: "name", type: "TEXT", notNull: true },
{ name: "age", type: "INTEGER" },
{ name: "balance", type: "REAL" },
]);
await dobby.createDatabase();
// Insert some sample data
await dobby.insert({ id: 1, name: "John Doe", age: 30, balance: 1000.50 });
await dobby.insert({ id: 2, name: "Jane Smith", age: 25, balance: 2000.75 });
await dobby.insert({ id: 3, name: "Bob Johnson", age: 40, balance: 1500.25 });
// Filter examples
const results1 = await dobby.filter({ age: { gt: 25 } });
console.log("Users older than 25:", results1);
const results2 = await dobby.filter({ name: { like: '%John%' } });
console.log("Users with 'John' in their name:", results2);
const results3 = await dobby.filter({ balance: { between: [1000, 2000] } });
console.log("Users with balance between 1000 and 2000:", results3);
const results4 = await dobby.filter({ age: { in: [25, 30, 35] } });
console.log("Users aged 25, 30, or 35:", results4);
const results5 = await dobby.filter({ name: { ne: 'John Doe' } }, { limit: 2 });
console.log("Up to 2 users not named John Doe:", results5);
// Search examples
const searchResults1 = await dobby.search("name", "John");
console.log("Users with 'John' in their name:", searchResults1);
const searchResults2 = await dobby.search("name", "son", { limit: 1 });
console.log("First user with 'son' in their name:", searchResults2);
// You can search in any text column
const searchResults3 = await dobby.search("age", "3");
console.log("Users with '3' in their age:", searchResults3);
// Example of using the new dropDatabase function
await dropDatabase("myDatabase");
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