alexrudall

How to add ChatGPT streaming to your Ruby on Rails 7 app!

This guide will walk you through adding a ChatGPT-like messaging stream to your Ruby on Rails 7 app using ruby-openai, Rails 7, Hotwire, Turbostream, Sidekiq and Tailwind. All code included below!

• Follow me on Twitter for more Ruby AI at https://twitter.com/alexrudall
• Released under the MIT License - use as you wish :)

First, add the ruby-openai gem! Needs to be at least version 4. Add Sidekiq too.

tenderlove

Benchmarks for GC Compactor

GC benchmarks for trunk vs gc-compact seem to be about the same:

$ make benchmark ITEM=gc
./revision.h unchanged
/Users/aaron/.rbenv/shims/ruby --disable=gems -rrubygems -I./benchmark/lib ./benchmark/benchmark-driver/exe/benchmark-driver \
	            --executables="compare-ruby::/Users/aaron/.rbenv/shims/ruby --disable=gems -I.ext/common --disable-gem" \
	            --executables="built-ruby::./miniruby -I./lib -I. -I.ext/common  -r./prelude --disable-gem" \

zdennis

# browser_logging.rb will print out the browser log from Chrome
# when running specs with "js: true". This is so we can easily debug
# issues where there are JS errors or other console warnings/error(s), etc.
#
# Output file is: Rails.root/log/browser.log
#
# Note: Nothing will be printed out for non-JS examples.
RSpec.configure do |config|
  browser_log = File.new(Rails.root.join("log/browser.log").to_s, "w")
  browser_log.sync = true

wvengen

#!/usr/bin/env ruby
#
# Example of parsing a remote XML stream.
#
# Fetches data from an HTTP endpoint, and processes it bit by bit, without
# loading the whole file into memory.
#
# This example shows recent articles from the W3C blog feed.
#
require 'nokogiri'

monolithed

Обзор WYSIWYG-редакторов (2017 г.):

• Свободная лицензия (в идеале)
• API
• Масштабировать текст по количеству символов (в идеале)
• Быть кроссбраузерным
• Сокращать ссылки и подсвечивать ссылки
• Иметь защиту от XSS
• Конфигурироваться
• Поддерживать историю

elky

/*
Demo: https://jsfiddle.net/elky/f6khaf2t/

<div class="element">
  <div class="truncate">
    Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt
    ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco
    laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in
    voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat
    non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

htp

curl --include \
     --no-buffer \
     --header "Connection: Upgrade" \
     --header "Upgrade: websocket" \
     --header "Host: example.com:80" \
     --header "Origin: http://example.com:80" \
     --header "Sec-WebSocket-Key: SGVsbG8sIHdvcmxkIQ==" \
     --header "Sec-WebSocket-Version: 13" \
     http://example.com:80/

Restuta

Below is the list of modern JS frameworks and almost frameworks – React, Vue, Angular, Ember and others.

All files were downloaded from https://cdnjs.com and named accordingly. Output from ls command is stripped out (irrelevant stuff)

As-is (minified)

$ ls -lhS
566K Jan 4 22:03 angular2.min.js

ifyouseewendy

require 'thread'

QUEUE_SIZE = 2
POOL_SIZE  = 5

queue = SizedQueue.new(QUEUE_SIZE)

producers = POOL_SIZE.times.map do
  Thread.new do
    item = rand(10)

odigity

# (I recommend understanding the basics of this first: http://sequel.jeremyevans.net/rdoc/files/doc/object_model_rdoc.html)

# Extending the underlying dataset  (http://sequel.jeremyevans.net/rdoc/files/README_rdoc.html#label-Extending+the+underlying+dataset)

# The recommended way to implement table-wide logic by defining methods on the dataset using dataset_module:

    class Post < Sequel::Model
      dataset_module do
        def posts_with_few_comments
          where{num_comments < 30}