Latest Posts

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.

I waited for this day too long. Today, I've tried out GitPod, and made it work for a project based on Osm Admin.

Today, I reiterated on what's left in this iteration, and finished the side menu view, and created a trivial home page for the admin area.

After getting the main branch all-green (tests pass, CLI and UI works as expected), I decided that from now on, I'll keep it always green, and use feature branches for all major development.

Then, I started implementing the main menu of the admin area.

Yesterday, I created a template for new projects powered by Osm Admin.

This way, you can create and publish a project in minutes, just follow the README. Yay!

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.

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.

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.

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.

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.