Drupal

I was writing some code on a Drupal site that detects if a page is being published and I realised that this state isn't as clear cut as you might expect.  Drupal stores the published state of a page as the 'status', with 0 being unpublished and 1 being published. With revisions being turned on by default since Drupal 8 it is possible to see past states of the page when saving the page. The issue is that there is nothing in the current state of the page stating that this is the first time it is being published.

As an example of this in action, and where I cam across this, we can use the hook_ENTITY_TYPE_update() hooks to detect if a page is published as it gets updated like this.

Drupal's update hook system is a powerful way of updating your site to introduce things that wouldn't be handled using the configuration system.

Modules will use update hooks to bring sites that have the old version of the module in line with the latest additions to the module. For example, if a new field is added to a table that the module uses then an update hook will be needed to add that field to all sites that are current using the old version. This update hook will be in addition to the install hook that would install the table with the added field in the first place.

There are a number of different reasons why you would want to use update hooks on your own site. Normally being stored in either install profiles or custom modules they would be run on deployment in order to update your dev/stage/production site with changes without having to manually apply them. This is a useful way to do one of the following actions.

Tying together different select elements in a form is done with very little effort thanks to the ajax and states system built into Drupal 9. This means that any Drupal form can have a select element that shows and updates options into another select element within the same form. Using this system you can create a hierarchical system where one select will show and populate another select element with items dependent on the first. This is great for giving the user the ability to drill down into options that are dependent on each other. As the user selects the first select element the second select element will populate with data and be shown on the screen.

A recent Wired article about the Parler data hack talked about how a hacker group was able to steal publicly available information from the Parler website using an Insecure Direct Object Reference (IDOR) or enumeration attack. This type of attack involves a hacker looking at the structure of the site and attempting to guess the next available resource by looking at the URL. Apparently, terabytes of Parler's data was downloaded by simply enumerating through the ID's of their publicly available posts.

I tried to do something the other day that I thought would be quite simple, but turned out to be really hard to get my head around. I had a Drupal 9 site with Paragraphs installed and I wanted a user to click a button on the node edit form and inject a particular Paragraph into a Paragraph field.

I found 2 solutions to this problem that solve it in slight different ways.

Piggy Back On Existing Events

After my initial struggles over trying to get this to work I decided to use a piggy back method. This essentially listens for the user interaction and then triggers the Paragraph add event that inserts the Paragraph into the field. The user interaction I was listening for was a user selecting different elements in a select list.

To get this working I added some JavaScript to the page, attached to the select list field called "field_type".

For the last few years I have been tagging articles as I write them on this site. This tagging has largely been to tie posts together in an aggregated list of other posts tagged with that term. I recently wondered if I could use those tags to show related content below each article. I have struggled with this feature on client websites in the past and it either boils down to a manually curated list or some sort of complex content analysis and Solr search.

As it happens this is fairly easy to accomplish using Views, although took some working out to get the effect I wanted. I'm writing down these instructions to help me remember how I did it in the past and to allow you set up the same thing (if you wish).

Pushing data from Drupal into Solr is a really convenient way of creating a robust and extensible search solution. The Search API module has a number of different fields available that can be used to integrate with all sorts of fields, but what isn't included is computed fields or other data.

Thankfully, adding a custom field into the Search API system doesn't need a lot of code. A single class, with an optional hook, is all that's needed to het everything working.

I was recently looking at the node view count module that was being used to record what users viewed what nodes on a Drupal site. What was needed was a report page that had a bunch of data from different fields of a node, along with the node view count data. As this data wasn't immediately available to Solr I needed to find a way to inject the data into Solr using the mechanisms that Search API has. 

Drupal's login forms are protected by a protection mechanism that prevents brute force attacks. This means that if an attacker attempts to repeatedly guess a user's password to gain entry to their account they will be blocked before being successful. This system has been a part of Drupal for many years and so is battle tested.

Like all systems in Drupal, the flood system can be adapted to be used on your own forms. Which means you can protect any form that you don't want to be used too much. This will help with authentication forms or any form that might need to process lots of information where you don't want users to submit the form too much.

Before using the flood system on a form you first need to inject it into the form. Here is a basic form setup with the flood service injected into it.

You've probably been there before. A Drupal View you are working on looks great and has all the data and fields you need, but when you look a little closer at the results you realise that something is off. After looking at the generated SQL query you see that there is a problem with one of the joins which causes your counts to be off a little. Ultimately, you need to remove this join, but you really need that data included in your results.

Creating a subquery can allow you to pull out data from a specific field without adding another join that would cause the results to be out.

Whilst Twig is a powerful tool in its own right there are occasions when you need to pull out data from Drupal or manipulate it in certain ways. I normally do this using preprocess steps, but I recently found that it was also possible to extend Twig within the Drupal framework to provide your own functions and filters. This can be useful if you have custom templates and need to perform special actions on data items to format them in different ways.

Setting Up

Before we can create Twig filters and functions in Drupal we need to tell Drupal that we have a class that contains them. This is done by creating an entry in the your module services file that contains the tag tag.extension. In a module called "custom_twig" the file would be called custom_twig.services.yml and would contain the following.