Tags: data

I’m a big fan of HTML5’s datalist element and its elegant design. It’s a way to progressively enhance any input element into a combobox.

You use the list attribute on the input element to point to the ID of the associated datalist element.

<label for="homeworld">Your home planet</label>
<input type="text" name="homeworld" id="homeworld" list="planets">
<datalist id="planets">
 <option value="Mercury">
 <option value="Venus">
 <option value="Earth">
 <option value="Mars">
 <option value="Jupiter">
 <option value="Saturn">
 <option value="Uranus">
 <option value="Neptune">
</datalist>

It even works on input type="color", which is pretty cool!

The most common use case is as an autocomplete widget. That’s how I’m using it over on The Session, where the datalist is updated via Ajax every time the input is updated.

But let’s stick with a simple example, like the list of planets above. Suppose the user types “jup” …the datalist will show “Jupiter” as an option. The user can click on that option to automatically complete their input.

It would be handy if you could automatically submit the form when the user chooses a datalist option like this.

Well, tough luck.

The datalist element emits no events. There’s no way of telling if it has been clicked. This is something I’ve been trying to find a workaround for.

I got my hopes up when I read Amber’s excellent article about document.activeElement. But no, the focus stays on the input when the user clicks on an option in a datalist.

So if I can’t detect whether a datalist has been used, this best I can do is try to infer it. I know it’s not exactly the same thing, and it won’t be as reliable as true detection, but here’s my logic:

• Keep track of the character count in the input element.
• Every time the input is updated in any way, check the current character count against the last character count.
• If the difference is greater than one, something interesting happened! Maybe the user pasted a value in …or maybe they used the datalist.
• Loop through each of the options in the datalist.
• If there’s an exact match with the current value of the input element, chances are the user chose that option from the datalist.
• So submit the form!

Here’s how that translates into DOM scripting code:

document.querySelectorAll('input[list]').forEach( function (formfield) {
  var datalist = document.getElementById(formfield.getAttribute('list'));
  var lastlength = formfield.value.length;
  var checkInputValue = function (inputValue) {
    if (inputValue.length - lastlength > 1) {
      datalist.querySelectorAll('option').forEach( function (item) {
        if (item.value === inputValue) {
          formfield.form.submit();
        }
      });
    }
    lastlength = inputValue.length;
  };
  formfield.addEventListener('input', function () {
    checkInputValue(this.value);
  }, false);
});

I’ve made a gist with some added feature detection and mustard-cutting at the start. You should be able to drop it into just about any page that’s using datalist. It works even if the options in the datalist are dynamically updated, like the example on The Session.

It’s not foolproof. The inference relies on the difference between what was previously typed and what’s autocompleted to be more than one character. So in the planets example, if someone has type “Jupite” and then they choose “Jupiter” from the datalist, the form won’t automatically submit.

But still, I reckon it covers most common use cases. And like the datalist element itself, you can consider this functionality a progressive enhancement.

At the beginning of the year, Remy wrote about extracting Goodreads metadata so he could create his end-of-year reading list. More recently, Mark Llobrera wrote about how he created a visualisation of his reading history. In his case, he’s using JSON to store the information.

This kind of JSON storage is exactly what Tom Critchlow proposes in his post, Library JSON - A Proposal for a Decentralized Goodreads:

Thinking through building some kind of “web of books” I realized that we could use something similar to RSS to build a kind of decentralized GoodReads powered by indie sites and an underlying easy to parse format.

His proposal looks kind of similar to what Mark came up with. There’s a title, an author, an image, and some kind of date for when you started and/or finished reading the book.

Matt then points out that RSS gets close to the data format being suggested and asks how about using RSS?:

Rather than inventing a new format, my suggestion is that this is RSS plus an extension to deal with books. This is analogous to how the podcast feeds are specified: they are RSS plus custom tags.

Like Matt, I’m in favour of re-using existing wheels rather than inventing new ones, mostly to avoid a 927 situation.

But all of these proposals—whether JSON or RSS—involve the creation of a separate file, and yet the information is originally published in HTML. Along the lines of Matt’s idea, I could imagine extending the h-entry collection of class names to allow for books (or films, or other media). It already handles images (with u-photo). I think the missing fields are the date-related ones: when you start and finish reading. Those fields are present in a different microformat, h-event in the form of dt-start and dt-end. Maybe they could be combined:

<article class="h-entry h-event h-review">
<h1 class="p-name p-item">Book title</h1>
<img class="u-photo" src="image.jpg" alt="Book cover.">
<p class="p-summary h-card">Book author</p>
<time class="dt-start" datetime="YYYY-MM-DD">Start date</time>
<time class="dt-end" datetime="YYYY-MM-DD">End date</time>
<div class="e-content">Remarks</div>
<data class="p-rating" value="5">★★★★★</data>
<time class="dt-published" datetime="YYYY-MM-DDThh:mm">Date of this post</time>
</article>

That markup is simultaneously a post (h-entry) and an event (h-event) and you can even throw in h-card for the book author (as well as h-review if you like to rate the books you read). It can be converted to RSS and also converted to .ics for calendars—those parsers are already out there. It’s ready for aggregation and it’s ready for visualisation.

I publish very minimal reading posts here on adactio.com. What little data is there isn’t very structured—I don’t even separate the book title from the author. But maybe I’ll have a little play around with turning these h-entries into combined h-entry/event posts.