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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.

The goal is to be the most productive and focused on the most important things, both personally, and (later) as a team.

After maintaining the "done" log for several months, I decided to improve my estimation accuracy, and here is how.

Before diving into what should be in the docs, let's define what you should more or less know before using Osm Admin.

There are four types of people who will read the docs: power users, developers, vendors and contributors.

Here are my thoughts on product backlog and roadmap.

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

I came with an idea of much cleaner Osm Admin data class "markup", and more straightforward architecture, and I decided to give it a go in a separate experimental branch v0.2, and to see if it's viable.

After three weeks of implementation effort, I can say that it is viable, and it's so much better! And it's not a completely new effort, I mostly copy code from v0.1 and some parts of osmphp/framework:old_v4, and adapt it.

You can already define data classes using new markup, generate the database tables, and query it using new formula syntax. I really wanted to come with some UI working, but there wasn't enough time for that. It stays my priority for the next iteration.

My current goal is to get some minimum Osm Admin user interface and API working - just for one property, one data type, one UI control type, and then improve.

And there is a lot of space for improvement. The main areas are listed in this document.

I'd really appreciate a helping hand, so if you are into this sort of things, DM me on Twitter.

I feel that both attributes decorating data classes, and object model parsed from it are too complex.

Let's have a fresh look at Osm Admin. If I had to start from scratch, how would it be?

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.

I had two weeks full of meaningful, productive work. I started with sketching Osm Admin grid and form pages, and implemented a very basic, but working home page, and success/error messages. To enable that, Osm Framework now have extensible Blade templates, and a nice JavaScript solution for capturing user input into a modal dialog box, or into some picker component.

Then, I undertook a major refactoring of Osm Admin, including moving lots of pieces of code to their new places, stabilizing the underlying object model, rewriting database migrations and sketching future effort on data indexing. During this effort, I implemented generic object hydration and reflection over named subtypes.

I've already shared most of this information on Twitter, so if you are reading this, consider following me on Twitter and getting daily updates.

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.

I had two very productive weeks. #buildinpublic works wonders.

Most effort went into my new project, Osm Admin. I sketched how data classes look like, generated database tables from class attributes, and started working on the Admin UI. It's very fulfilling to see how an abstract idea gains shape.

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.

Readers of osm.software blog can search the blog for a specific phrase, and narrow down listed articles using multi-select layered navigation. Let's see how it works under the hood.

osmcommerce.com (now osm.software) blog got multi-select layered navigation, category management, FontAwesome icons, Tailwind CSS Typography. Osm Core allows debugging accidental assignments of the computed properties.

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.