ML CLI - M LHUILLIER FILE GENERATOR

Zheus Leiandre Codez Cajote — Mon, 13 Apr 2026 06:17:40 +0000

GITHUB REPO

ZheyUse / mlhuillier

ML CLI (M Lhuillier)

ML CLI is a Windows-first PHP command-line toolkit for scaffolding projects, managing a shared user database, and automating common local development workflows.

It is designed for teams building multiple PHP apps (typically under XAMPP) that need:

fast project bootstrap
consistent folder/file structure
centralized user account storage
quick RBAC/PBAC table provisioning
repeatable backup and update workflows

What This System Does

ML CLI provides one command surface (ml) for:

Creating starter PHP project structures
Navigating quickly between projects under C:\xampp\htdocs
Opening projects in browser (http://localhost/<project>)
Importing and testing a shared userdb schema
Creating user accounts from terminal prompts
Creating project-specific RBAC and PBAC tables in userdb
Configuring and running MySQL schema backups via mysqldump
Checking and applying CLI updates from GitHub

Core Purpose

This repository solves repetitive setup work for local PHP development on Windows.

Instead of manually creating files, wiring auth tables, and…

View on GitHub

DOCUMENTATIONS

zheyuse.github.io

ML CLI (M Lhuillier)

ML CLI is a Windows-first PHP command-line toolkit for scaffolding projects, managing a shared user database, and automating common local development workflows.

It is designed for teams building multiple PHP apps (typically under XAMPP) that need:

fast project bootstrap
consistent folder/file structure
centralized user account storage
quick RBAC/PBAC table provisioning
repeatable backup and update workflows

What This System Does

ML CLI provides one command surface (ml) for:

Creating starter PHP project structures
Navigating quickly between projects under C:\xampp\htdocs
Opening projects in browser (http://localhost/<project>)
Importing and testing a shared userdb schema
Creating user accounts from terminal prompts
Creating project-specific RBAC and PBAC tables in userdb
Configuring and running MySQL schema backups via mysqldump
Checking and applying CLI updates from GitHub

Core Purpose

This repository solves repetitive setup work for local PHP development on Windows.

Instead of manually creating files, wiring auth tables, and writing one-off DB scripts for every project, you can run a small set of ml commands and start building features immediately.

Prerequisites

Windows (PowerShell / CMD)
PHP CLI installed (XAMPP C:\xampp\php\php.exe is auto-detected)
MySQL/MariaDB access
Internet access for remote helper downloads/updates

Optional:

Node.js (only for rebuilding docs JSON)
VS Code CLI (code) for ml nav open-in-editor flow

Installation

Option A: Standard Installer (recommended)

From the repository root:

install-ml.bat

What it does:

installs CLI runtime to C:\ML CLI\Tools
copies shell wrapper(s)
updates user PATH
installs version metadata (VERSION, version.txt)

After install, open a new terminal and verify:

ml --v

Option B: Local Developer Install

php ml-local.php

You can also pass a custom destination:

php ml-local.php "C:\Some\Path"

PowerShell Wrapper Setup

.\install-wrappers.ps1

This installs wrappers to %USERPROFILE%\bin and updates your PowerShell profile/PATH behavior.

Quick Start

Create project

ml create my-project
cd my-project

Set DB values in .env (especially USERDB_NAME)
Import and test shared user database

ml add userdb
ml test userdb

Create access-control tables for this project

ml create --rbac my_project
ml create --pbac my_project

Create first account

ml create --a

Open app in browser

ml serve

Command Reference

General

ml --h : show help
ml --v : show installed version
ml --c : check remote version
ml update : update installed CLI files
ml --d : download installer helper
ml doc / ml docs : open hosted docs site

Project / Workflow

ml create <project_name> : scaffold a new project
ml nav : interactive navigation under C:\xampp\htdocs
ml nav --<project_name> : jump directly to project
ml nav --new : jump to C:\xampp\htdocs
ml serve [project_name] : open project URL in browser

Database / UserDB

ml test <database> : test DB connection
ml test userdb : userdb-specific connectivity check
ml add userdb : import userdb schema SQL
ml create --config : create backup config JSON
ml --b [schema|all] : backup one/all schemas

Account / Access Control

ml create --a : interactive account creation
ml create --rbac <project_name> : create <project_name>_rbac
ml create --pbac <project_name> : create <project_name>_pbac

Generated Project Scaffold

The scaffolder (generate-file-structure.php) creates a complete starter app including:

src/config (env/db/auth/session/csrf/middleware/error helpers)
src/controllers, src/models, src/pages, src/modals, src/templates
public, public/api, public/components
starter UI/layout files (index.php, CSS templates, modal/components)
project .env and starter README.md

Database Model

Main shared database: userdb

Included migrations:

migration/userdb/userdb_users.sql
migration/userdb/userdb_userlogs.sql

`users`

Important columns:

id_number (unique)
username (unique)
firstname, middlename, lastname
role (default Public)
password (hashed)
dateCreated

`userlogs`

Important columns:

log_id
id_number (FK -> users.id_number)
last_online
status
dateModified

Project RBAC Table

Created by ml create --rbac <project_name>

table name: <project_name>_rbac
PK: <project_name>_no
includes id_number FK and user_role

Project PBAC Table

Created by ml create --pbac <project_name>

table name: <project_name>_pbac
PK: <project_name>_no
includes id_number FK, access_level, permissions (text/JSON-style payload)

Account Creation Behavior

account-insert.php / ml create --a:

reads nearest .env
requires valid USERDB_NAME
prompts for ID, first/last name, role
generates username from last name + ID
stores password as a hash (password_hash)
inserts default user log status

Backup Workflow

Configure backup settings:

ml create --config

This writes:

C:\ML CLI\Tools\mlcli-config.json

Run backup:

ml --b
ml --b userdb
ml --b all

Backups are written under:

C:\ML CLI\Backup\BACKUP_MM-DD-YY\<schema>\<schema>.sql

Update and Versioning

Local version source: VERSION
CLI constant in ml.bat: ML_VERSION
Check remote: ml --c
Apply update: ml update
Batch version bump helper (repo maintenance):

php v.php <new-version>

v.php updates:

ml.bat
install-ml.bat
uninstall-ml.bat
VERSION

Uninstall

uninstall-ml.bat

Uninstaller removes installed runtime (C:\ML CLI\Tools), PATH entries, and wrapper/profile artifacts.

Documentation Site

This repo includes a static docs app in documentation/.

Build command metadata JSON from ml.bat:

npm run docs:build

Watch mode:

npm run docs:watch

Output:

documentation/assets/data/commands.json

Open docs page:

documentation/index.html

Repository Structure

ml.bat, ml.cmd, ml.ps1 : command entry points/wrappers
generate-file-structure.php : main scaffolder
generate-file-remote.php : remote loader stub
ml-nav.php, ml-serve.php, ml-update.php : workflow helpers
account-insert.php, userdb-import.php, userdb-con-test.php : DB/account utilities
rbac/, pbac/ : access-control table generators
backup-cli/, db-config/ : backup tooling
migration/ : SQL sources
documentation/ : docs website assets
scripts/ : docs/template extraction tooling

Security Notes

.env and mlcli-config.json can contain plaintext DB credentials
keep these files out of version control
use least-privilege DB users where possible
rotate and protect SQL backup files
review generated auth/permission logic before production use

Troubleshooting

`ml` command not recognized

reopen terminal after install
verify PATH contains C:\ML CLI\Tools and/or %USERPROFILE%\bin
re-run install-ml.bat

DB connection failures

run ml test userdb
verify .env values (DB_*, USERDB_*)
ensure MySQL is running and reachable

Backup errors (`mysqldump not found`)

run ml create --config
set valid full path to mysqldump.exe

Remote fetch/update errors

check internet/proxy/firewall for GitHub raw/API endpoints
retry command

Notes

This toolchain is primarily Windows-oriented.
Many helper flows fetch the latest scripts from GitHub at runtime.
For stable offline behavior, keep local script copies and avoid remote dependency paths where needed.

CameraFool

Zheus Leiandre Codez Cajote — Mon, 13 Apr 2026 02:21:20 +0000

This is a submission for the DEV April Fools Challenge

What I Built

CameraFool is a revolutionary, cutting-edge, AI-powered mirror experience… that literally just opens your device camera.

Yes. That’s it.

In a world where your phone already has a camera app one tap away, CameraFool bravely asks:
“What if… we made it harder?”

Instead of simply opening your camera like a normal person, users must:

Visit a website
Click a dramatic “Open Mirror” button
Select their preferred mirror device (very important)
Then… we open the exact same camera anyway

Innovation.

Demo

zheyuse.github.io

Code

ZheyUse / camerafool

CameraFool

"The Future of Reflection Technology" - a premium-looking prank app that adds dramatic steps before opening a camera flow.

Intro

CameraFool is intentionally overdesigned and funny:

User visits a beautiful landing page.
User clicks Open Mirror.
User sees a fake permission modal (Allow / Definitely Allow).
User gets dramatic startup text and fake calibration.
Then CameraFool launches camera behavior (native-device flow attempt first).

It looks like a $49/month AI product. It mostly opens a camera.

How It Works

Main flow

Open Mirror -> opens fake permission modal.
Allow / Definitely Allow -> runs dramatic loading sequence.
After loading:
- On Windows, it attempts to launch native Camera app via microsoft.windows.camera:.
- On other devices, it triggers native capture intent (input capture) where supported.
If no camera is detected, it shows a No Camera Detected modal.

Demo flow

Try Demo Mode bypasses the fake permission modal…

View on GitHub

How I Built It

TechStack: HTML, JS, CSS

Prize Category

I’m going for Best Google AI Usage because this project uses AI in the most powerful way possible… by making everything feel smart while doing absolutely nothing new 😭

We added “AI-powered reflection enhancement”, smart mirror selection, and dramatic loading like it’s about to scan your soul… but in the end it just opens your camera like usual.

It’s basically a tribute to every product that says “AI-powered” just to sound cool.

So technically, the AI is working… just not in the way you expect 😏

DEV Community: Zheus Leiandre Codez Cajote

ML CLI - M LHUILLIER FILE GENERATOR

GITHUB REPO

ZheyUse / mlhuillier

ML CLI (M Lhuillier)

What This System Does

Core Purpose

DOCUMENTATIONS

ML CLI (M Lhuillier)

What This System Does

Core Purpose

Prerequisites

Installation

Option A: Standard Installer (recommended)

Option B: Local Developer Install

PowerShell Wrapper Setup

Quick Start

Command Reference

General

Project / Workflow

Database / UserDB

Account / Access Control

Generated Project Scaffold

Database Model

users

userlogs

Project RBAC Table

Project PBAC Table

Account Creation Behavior

Backup Workflow

Update and Versioning

Uninstall

Documentation Site

Repository Structure

Security Notes

Troubleshooting

ml command not recognized

DB connection failures

Backup errors (mysqldump not found)

Remote fetch/update errors

Notes

CameraFool

What I Built

Demo

Code

ZheyUse / camerafool

CameraFool

Intro

How It Works

Main flow

Demo flow

How I Built It

Prize Category

`users`

`userlogs`

`ml` command not recognized

Backup errors (`mysqldump not found`)