Cdaprod

import socket
import time
import threading
from collections import defaultdict

# Settings
HOST = '0.0.0.0'  # Listen on all interfaces
PORT = 22         # SSH default port
LOG_FILE = "attackers.log"
BLOCK_THRESHOLD = 5  # Number of attempts before blocking

Cdaprod

import bpy

# ✅ Fix for deletion (Avoids "Lack of Context" errors)
for obj in list(bpy.data.objects):
    bpy.data.objects.remove(obj, do_unlink=True)

# Set the render resolution to 4:3 aspect ratio (1280x960)
bpy.context.scene.render.resolution_x = 1280
bpy.context.scene.render.resolution_y = 960

Cdaprod

import React, { useEffect, useRef, useState } from 'react';

const AnimationDemo = () => {
  const canvasRef = useRef(null);
  const [isPlaying, setIsPlaying] = useState(false);
  const [time, setTime] = useState(0);

  // Define some fun animations
  const animations = [
    {

Cdaprod

$source = "Z:\DCIM\100NIKON"  # Replace with your camera's folder path
$destination = "C:\SyncedVideos"  # Local folder to sync videos

# Ensure destination exists
if (!(Test-Path -Path $destination)) {
    New-Item -ItemType Directory -Path $destination
}

# Set up the FileSystemWatcher
$watcher = New-Object System.IO.FileSystemWatcher

Cdaprod

# Add these lines to your ~/.bashrc or ~/.zshrc

# Backup the original tree command (optional)
alias real-tree="$(which tree)"

# Create enhanced tree alias with custom flags
alias tree='tree -aC -I ".git|node_modules|bower_components" --dirsfirst --filelimit 50'

# Additional useful tree aliases for specific use cases
alias treef='tree -af'         # Show hidden files

Cdaprod

const fs = require('fs').promises;
const path = require('path');

class DockerfileParser {
  static async findDockerfiles(baseDir = '.') {
    const dockerfiles = [];
    
    async function scan(dir) {
      const entries = await fs.readdir(dir, { withFileTypes: true });
      

Cdaprod

Building a robust microservice registry AI assistant tailored to Go-based system. Here we adapt an initial LangGraph and Graphiti-based approach to fit within a Go ecosystem, leveraging alternative technologies and methodologies to achieve similar functionality.

Objective

• Goal: Develop an AI assistant for your GitHub/Docker microservice registry service using Go, without relying on Neo4j.
• Key Components:
  • Data Storage: Replace Neo4j/Graphiti with a suitable alternative (e.g., PostgreSQL).
  • AI Integration: Utilize OpenAI's API or similar services to handle natural language processing.
  • API Development: Build RESTful or GraphQL APIs in Go to interact with the AI assistant.
• State Management: Implement mechanisms to maintain conversation state and persist interactions.

Cdaprod

Build a robust microservice registry in Golang, with Golang-native solutions, that can be queried by AI.

Overview

• Goal: Build an AI assistant for your microservice registry in Golang, without relying on Neo4j.
• Challenges: Replace the graph database functionality provided by Neo4j/Graphiti, ensure efficient data storage and retrieval, maintain robust performance, and integrate AI capabilities.

Steps to Achieve a Robust System Without Neo4j

1. Choose an Alternative Data Storage Solution

Cdaprod

This guide fixes Synology root storage issues, migrates Docker storage, and sets up a MinIO node for clustering.

Current Situation Summary:

• Root Filesystem (/dev/md0):
  • Size: 2.3 GB
  • Used: 1.7 GB
  • Available: 483 MB (79% usage)
• Data Volume (/volume1):
  • Size: 11 TB
• Used: 4.8 TB

Cdaprod

In this gist, is a comprehensive, detailed guide for installing and configuring the 1.14" 240x135 PiTFT on your Raspberry Pi Zero W2 using the "hard way" method. This guide includes advanced scripts to automate the installation, handle updates, and ensure robust configuration management. By following these instructions, you'll set up your PiTFT to display the console seamlessly and maintain its functionality across kernel updates and different Raspberry Pi models.

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Table of Contents

1. Prerequisites
2. System Preparation
3. Setting Up Python Virtual Environment (Optional)
4. Physical Installation of PiTFT