Sam Carlile samkcarlile

Chromium on Vercel (serverless)

This is an up-to-date guide on running Chromium in Vercel serverless functions in 2022. What you will read below is the result of two days of research, debugging, 100+ failed deployments, and a little bit of stress.

Getting started

Step 1: Install dependencies

Use chrome-aws-lambda that comes with Chromium pre-configured to run in serverless, and puppeteer-core due to the smaller size of Chromium distributive.

Installing and using schemacrawler for MacOS

A recipe for generating cool SQLite database diagrams with schemacrawler on MacOS

This was tested on MacOS 10.14.5 on 2019-07-16

schemacrawler is a free and open-source database schema discovery and comprehension tool. It can be invoked from the command-line to produce, using GraphViz, images/pdfs from a SQLite (or other database type) file. It can be used from the command-line to generate schema diagrams like these:

Stuff I wish I'd known sooner about service workers

I recently had several days of extremely frustrating experiences with service workers. Here are a few things I've since learned which would have made my life much easier but which isn't particularly obvious from most of the blog posts and videos I've seen.

I'll add to this list over time – suggested additions welcome in the comments or via twitter.com/rich_harris.

Use Canary for development instead of Chrome stable

~~Chrome 51 has some pretty wild behaviour related to console.log in service workers. Canary doesn't, and it has a load of really good service worker related stuff in devtools.~~

Word Frequency List of Hilary Clinton's emails

This gist provides a JSON file showing the most used words within Hilary Clinton's email corpus.

Corpus

I used the Emails.csv file from within the open-source corpus [1] (~7,000 emails) released by Kaggle [2].

How?

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!

\

	# coding=UTF-8
	from __future__ import division
	import re

	# This is a naive text summarization algorithm
	# Created by Shlomi Babluki
	# April, 2013


	class SummaryTool(object):

	// You can test this online at: https://play.golang.org/p/hhayRT1VWgj
	package main

	import (
	"crypto/sha1"
	"encoding/hex"
	"fmt"
	"io"
	"strings"
	)

	package main

	import (
	"fmt"
	"labix.org/v2/mgo"
	"labix.org/v2/mgo/bson"
	"time"
	)

	type Person struct {

	/*
	* Tiny tokenizer
	*
	* - Accepts a subject string and an object of regular expressions for parsing
	* - Returns an array of token objects
	*
	* tokenize('this is text.', { word:/\w+/, whitespace:/\s+/, punctuation:/[^\w\s]/ }, 'invalid');
	* result => [{ token="this", type="word" },{ token=" ", type="whitespace" }, Object { token="is", type="word" }, ... ]
	*
	*/