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I stopped working on the Osm Admin project, for financial reasons. Did it hurt? A lot. Was it necessary? Unfortunately, yes. This post is a short retrospection on this matter.

Implemented in Osm Admin:

• new ALTER TABLE algorithm
• NULL to non-NULL data conversion
• new query test suite

This time, I tackled adding an explicit property to an existing table, and then making it non-nullable.

It raised the need for data conversions - additional handling of the existing data - or otherwise, the database engine fails, or the data becomes invalid.

And it made me split migrations in two parts - the one that runs before the data conversion, and the other one that runs afterwards.

While working on diff algorithm I noticed a certain pattern that I use over an over again.

Using this pattern, I implemented notification table diff.

Finally, I rearranged diff/migration code for better code readability.

Yesterday, I moved the table creation code into new schema diff migration engine.

Now, working on notification table migrations.

This time:

• I found out that the whole search index creation should be done during indexing, not migrations.
• I refactored diff algorithm and made it much easier to read.

Before digging into property diff algorithm, let's dig into how exactly it's used, and what other property-related logic is there.

Yesterday, I continued working on schema migrations:

• implemented table diff algorithm;
• took into consideration table renames.

After a system update, I've got some problem with my laptop, and one thing to check was system log files.

This got me thinking: what makes a good log for my own application? And I think that application logs are as useful as they are able to answer potential questions I may have when an application is in production.

Let's think what kind of questions I might have, and what information might be useful to answer them.

Recently, I fixed numerous issues to make the first migration tests work.

Then, I started implementing the schema diff algorithm - the basis for schema migrations.

More dots got connected in the schema migration design, see this post for details.

Then, I tried to return to TDDing it, but strange errors met me there, so I left them to be resolved in the next piece.

Schema migrations are going to be generated and executed automatically under gulp watch. It will result in lots of tiny migrations: add a column, change its type, make it not nullable, and so on.

It's convenient during development, but it might be not optimal to reapply in production. Indeed, it's better to convert a large table to new structure all at once rather than running a conversion for each of the tiny migration.

This observation contradicts the previously stated migration workflow, so let's update it.

In spirit of TDD, I started with a meaningful, but failing test that is reasonably fast. Then, I worked to make it green:

• implemented the loading of schema fixtures from the codebase;
• worked on generating migration files.

After drafting some ideas of how the schema migrations should actually work, let's start implementing it in TDD way.

The goal of the current iteration is to adjust the database schema and preserve/convert existing data according to any changes in schema classes, grids, forms or indexers.

This post presents some thoughts how it might work with class definitions.

After finishing the iteration "#17 Minimum UI", I revisited the goals and the scope of the minimum viable product, and picked the most pressing task for the next iteration - "#18 Database Schema Changes".

I implemented the last user action that is typical to a CRUD application - object deletion.

Done:

• routes responsible for creating new products, and modifying existing products
• incremental indexing
• cloning query objects
• INSERT INTO ... SELECT ... statements

Yesterday, I identified the need to have some syntax in a formula query to join a notification table.

I'm still working on new Query::joinInsertNotifications() and Query::joinUpdateNotifications() methods.

I wanted to implement incremental indexing in one go.

Not so quick.

I hit some major roadblocks, and I'm working on removing them, one by one.

Use deleteAll() method on a search query to, well, delete all entries from a search index.

Yesterday, indexers started listening to query inserted, updated and deleted notifications and creating records in notification tables.

Now, saving a product complains:

Table 'admin2.zi9__products__inserts' doesn't exist

Fair enough. Let's create it.

While testing notification logic in Osm Admin, an exception is thrown in $db->committing() callback, and the logic in $db->rollback() fails.

Let's review how transaction callbacks work, and fix it.

Yesterday results:

• POST /create route handles the input of new object form.
• A decision to keep faceted navigation and search out of the editing page.
• Sending table change notifications.

I've got a little more organized, then fixed an error in selecting all products, and implemented filtered URL generation in the browser.

A list of references to the most useful blog posts about Osm Admin and Osm Framework. One day, they'll be a part of the official documentation.

Progress messages stopped working, and I fixed that. Then, I implemented a safety measure that prevent accidental deletion (or other operations) on all objects.

In Osm Admin, I've finished implementing editing behavior of input and select controls.

For other control types, a step-by-step guide is prepared.

In Osm Admin, object editing form is used not only for a single object editing, but also for editing multiple objects, and for creating a new object.

I also created the osmphp/extras package as an easy way of adding Font Awesome icons to a project. Later, I'll add more optional reusable goodies to this package.

On the list page, grid columns are implemented as control views. On the editing page, form fields are also implemented as control views.

The form Blade templates are completely migrated to Osm Admin v0.2.

I redesigned control rendering on list and edit pages. From now, a control contains view prototypes for a grid column, a form field, and other.

A View is a short-living object that is created and computed during page rendering. You can also create a pre-configured a View object prototype in advance, and then clone it for rendering.

It's important not to execute render-time properties while configuring the prototype.

Use view() helper function to create render-time view instances, and mark render-time properties using #[RenderTime] attribute to prevent accessing them before rendering.

After getting the list page to work, I returned to the editing page.

Done:

• new page layout based on template inheritance
• form header
• form field layout

Yesterday, I polished the product color facet, and, starting now, you can create a facet with a list of string options very quickly, just by marking a property as #[Faceted].

/**
 * @property string $color #[Option(Color::class), Faceted]
 */
class Product extends Record
{

In the product editing form, I implemented the id filter, and made the UI query work in database-only mode, too.

Three days ago, I started rendering faceted navigation, and namely, color facet on the product list page.

Yesterday, I continued working on it and got the first render of the faceted navigation, defined URL action syntax, and the first facet filter applied on the product list page.

The implementation of the faceted implementation in osm.software blog has shown that sometimes you need only facet counts, or only total count of matching entries.

Until now, Osm Framework had always queried total count, ids and facets. Not anymore - and the search engine only provides the information that is actually needed.

The implicit ElasticSearch hit limit is confusing. And you can't get all the hits - there is 10000 maximum hit limit that you can't exceed anyway.

Be explicit about the maximum number of search hits.

In my opinion, obfuscating object ID in a URL is not worth the effort, and here is why.

My current goal is a minimum list page, a form page and a faceted navigation for a Product data class.

Today, I've:

• implemented ElasticSearch + MySql combo that gets the list page data
• started rendering the faceted navigation

Today, I finished indexing design, described typical indexing logic, implemented full search reindexing.

Starting today, I'll write a daily blog post about how the Osm Admin development goes.

This is the first one. It reviews where I am today, covers creation of a search index, and revisits the design of the indexing engine and how queries orchestrate the indexing.

After 3 days of intensive work, I've got dot syntax working!

Along the way, I refactored the query internals once again, which reminds me a heuristics saying that you've got to implement something three times to get it right :)

New query implementation uses the concept of formulas - SQL-like expressions used for selecting, filtering and sorting data. Currently, formulas are quite limited, but with time, they should be a really powerful feature.

I decided to support selecting, filtering and ordering by properties of a related object using dot syntax: product.price, parent.level. This syntax will automatically join the table that stored related objects.

I realized that implementing joins requires a better query model than my current naive wrapper around Laravel query. This article describes the new query model.

This article is about running SELECT and INSERT queries on data objects stored in the database.

In short, use the query() function. It runs on top of Laravel Query\Builder. It handles the mapping of data class properties onto table columns, and initiates the computation of indexed properties.

Currently, you can only SELECT and INSERT, other operations are coming soon.

Today, I implemented computation of indexed properties during insert. The implementation dictated some changes in indexed property definitions compare to the initial design, and how indexers are reflected into the data schema.

Also, I implemented a table query class working on the top of Laravel Query\Builder. More about it next time, for now I'll review how indexed properties are computed during INSERT operation.

It's often needed to compute, or index, data in database tables based on data in other tables.

This article is the first sketch of a consistent indexing solution.

I've finished refactoring how Osm Admin stores data objects in the database. Also, in order to support multi-website, multi-vendor, multi-language applications, I've introduced the concept of scopes.

Most reasoning from the first version is still valid, so let's take a fresh look of what's changed.

I developed dehydrate()/hydrate() functions for a very practical need - storing the data class schema:

• in cache - to reduce processing time spent on reflection;
• and in database - to compare current and new database schema, and only add new tables and columns.

This article describes the information stored in the schema, and unit tests that I prepared in order to be sure that schema classes are property hydrated.

Recently, I developed a couple of helper functions for transmitting PHP objects over the wire, and saving them in database records:

• dehydrate() - recursively converts an instance of a PHP class to a plain untyped object. Then, store the plain object in the database, or convert it to JSON and send it to a browser.
• hydrate() - recursively converts a plain untyped object back to a PHP class instance. Use if after decoding a JSON received from the browser, or after loading a database record.

This article describes how to use these functions.

When active, modal elements - dialogs, pickers, or AJAX spinners - need to prevent user interaction with the rest of the page.

A common approach is putting an overlay <div> under the modal element covering the rest of the page, as a click shield. However, user can still navigate the page with the keyboard.

Today, I implemented a better solution by capturing mouse and keyboard events outside the modal element, and keeping focus inside.

Currently, I'm working on Osm Admin package, and I need a module to inject its HTML markup around some well-known place in a Blade template. However, Blade template extensibility is not a problem that's specific to Osm Admin project. It's a generic problem. Let's solve that.

As described in Migrations, most data objects of the same class will be stored in a database table.

But what about subclasses? In an e-commerce application, bags, dresses, and digital products, collectively known as subclasses, are all products stored in products table, and they may have bad-specific, dress-specific or digital product specific properties that should also be stored there.

This article describes how subclasses are defined and stored in Osm Admin.

Different data classes have repeating structural patterns. For example, most data classes stored in database tables have the auto-incremented id property. Use PHP traits to effectively introduce the same properties to different data classes over and over again.

I partly implemented data schema migration. It takes data class definitions, and incrementally creates or alters underlying database tables.

The article below describes how schema migration works, and what's not implemented yet, but most probably will be.

Note. This topic is continued in the new article.

The project repository, osmphp/admin, follows a typical Osm Framework-based project structure. However, this repository is going to be a reusable Composer package, and has important structural differences presented in this article.

This article introduces the core project concepts: data object, data class, data query, and data schema.

I'm super-excited to announce that I'm starting a new project codenamed "The Big Red Button". It's about defining application data structures and logic in PHP code, pressing the big red button (hence the codename), and getting fully functioning Admin Panel and API.

Throw the NotImplemented exception in any code path that is not implemented yet, and configure the debugger to stop there whenever the code path is executed.

Today, osm.software reached an important milestone - 100% Lighthouse score.

This article explains how to manage and assign blog categories.

Full-text search and layered navigation is a common feature for e-commerce applications. It's also used in this blog. Actually, it makes browsing any non-trivial data better. Under the hood, search and layered navigation interact with ElasticSearch, or other search engine, and this article describes how.

Note. This post is moved to Osm Framework documentation.

This article explains how to write and publish blog posts.

Osm Framework is an open-source, insanely fast, unprecedentedly extensible, and fun to work with PHP 8 framework for creating modern Web applications. It's built on top of tried and tested Symfony and Laravel components.

Note. This post is moved to Osm Framework documentation.