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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.

In Osm Admin, I've finished indexing. It means that whenever you modify an object in the database, the changes are automatically propagated to all dependent indexed properties in the database.

I've also introduced a grid/form pair as the main user interface concept that is optimized for performing operations on multiple objects. There is also a programming interface (API) that will internally work in the same way, but without visuals. I implemented a part of this interface - an object creation form.

Osm Framework and all projects built with it - including this website and Osm Admin - are upgraded to TailwindCSS 3.0.

Today, I finished implementing an object creation form.

It works according to the specs on Interfaces and Forms. Currently, it only supports string and integer input fields; later, there will be a lot more.

Let's review how it works.

In Osm Admin, a form is an integral part of the class user interface. It's a very specific kind of HTML form.

In this article, I'll review what's in a class form, and how it's reflected from the application code.

Yesterday, I described a user interface pattern for managing data of a certain data class using a grid/form pair. Let's call this grid/form pair class interface in the admin area.

In this article, I'll examine what moving parts are inside a class interface.

So far, I've been concerned about how application data is modeled, stored and handled internally.

Yet, the final objective a user interface for viewing and editing it visually.

Let's dream a bit about how it might look like.

Yay, indexing works!

It's changed quite a bit, so let's review how it works from the very beginning.

For the last two weeks, I figured out two core features that will allow Osm Admin to stand out from other CRUD applications:

1. It will allow mass editing of data objects.
2. It will automatically propagate data changes throughout the database.

The foundation for the mass editing feature is data queries. Data propagation will be ensured via indexing.

I've been working on the Osm Admin indexing engine, and it's still in progress. While working on it, I reworked the inner working of data queries. Finally, I've achieved a very clear separation of various Osm Admin concerns, and documented it.

In Osm Core, I added reflection over class methods.

I'm still working on indexing, and it seems to get one more refactoring. But more on that later.

Meanwhile, let's review Osm Admin modules, their responsibilities and dependencies.

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.

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.