Dan Gayle dangayle

Hydrogen Analytics / PerfKit Validator

Checks whether a Hydrogen storefront has its analytics wired up correctly, by running in your browser on the live store. Read-only — no install, no repo access, nothing sent anywhere. The report prints automatically in the console as you browse.

It covers both trackers Hydrogen runs:

PerfKit (web performance / RUM) — script config + navigate() / setPageType() calls.
Shopify analytics (Monorail) — the sessions / conversions / product events (page_rendered, collection_page_rendered, product_page_rendered, search_submitted, product_added_to_cart) and their payload validity (e.g. product / add-to-cart events carry product_id + variant_id).

description

Interview me about the plan

argument-hint

plan

model

opus

Read this plan file $1 and interview me in detail using the AskUserQuestionTool about literally anything: technical implementation, UI & UX, concerns, tradeoffs, etc. but make sure the questions are not obvious.

Conventional Commit Messages

See how a minor change to your commit message style can make a difference.

git commit -m"<type>(<optional scope>): <description>" \
  -m"<optional body>" \
  -m"<optional footer>"

running:

bash create-vod-hls.sh beach.mkv

will produce:

    beach/
      |- playlist.m3u8
 |- 360p.m3u8

	#!/bin/bash

	# Global variables for cleanup
	MOUNT_POINTS=()
	TEMP_DIRS=()
	INSTALLED=()
	FAILED=()

	# Verbose flag (default is quiet). Use `--verbose` or `-v` to enable.
	VERBOSE=0

	from app import db
	from sqlalchemy import func, types
	from sqlalchemy.dialects import postgresql


	class JSONCache(db.Model):
	id = db.Column(db.Integer, primary_key=True)
	key = db.Column(db.String, nullable=False, index=True)
	data = db.Column(postgresql.JSONB, nullable=False)
	timestamp = db.Column(types.TIMESTAMP, server_default=func.now(), nullable=False)

	mkdir dash && \
	ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
	-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 400k -r 30 -dash 1 dash/426x240-30-400k.webm && \
	ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
	-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 600k -r 30 -dash 1 dash/426x240-30-600k.webm && \
	ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
	-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 700k -r 30 -dash 1 dash/640x360-30-700k.webm && \
	ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
	-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 900k -r 30 -dash 1 dash/640x360-30-900k.we

	/*
	No jQuery necessary.
	Thanks to Dan's StackOverflow answer for this:
	http://stackoverflow.com/questions/123999/how-to-tell-if-a-dom-element-is-visible-in-the-current-viewport
	*/

	function isElementInViewport(el) {
	var rect = el.getBoundingClientRect();
	return (
	rect.top >= 0 &&

	from textblob.classifiers import NaiveBayesClassifier
	from textblob import TextBlob

	train = [
	('Take me off', 'stop'),
	('Stop texting','stop'),
	('stop messaging','stop'),
	('Don\'t talk', 'stop'),
	('Stop messaging','stop'),
	('dont want to talk anymore','stop'),

	<html>
	<head>
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
	<script>
	function submitToAPI() {
	var URL = ‘/contact’;
	var data = {
	name: $(‘#name-input’).val(),
	email: $(‘#email-input’).val(),
	description: $(‘#description-input’).val()