Search results for 'framework'

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.

This article describes how we use GitHub issues and projects, both for new development and for support.

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.

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

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.

This article describes our package release process before v1.0.0. In short, every change is released as soon as it's ready, and all dependent packages are updated at the same time.

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.

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.

This article provides a practical example of contributing changes to Osm Framework and other osmphp/* GitHub repositories. It's based on the Osm_Project application pull request.

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

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.