Álvaro Justen turicas

Configuring a Socks Proxy in Splinter

I only found documentation regarding HTTP proxies on Splinter, but sometimes I just want to run ssh -D 1234 some-machine and get the SOCKS proxy on port 1234 to work with the Splinter browser. After many tests, I created these examples for Firefox and Chrome and all of them work.

For Web scraping tasks, sometimes having access to all the requests the browser made is a requirement, so I made examples for making this work with selenium-wire also. Since selenium-wire creates a proxy (so it can intercept requests between Selenium and the browser), the proxy configurations must be passed in a different way.

Agensgraph Docker

This is a Agensgraph Docker image based on the official PostgreSQL Docker image (not on Agensgraph's image, which has some issues). The current Agensgraph source is based on PostgreSQL 14.

Building

git clone https://github.com/turicas/agensgraph-docker.git

Python versions in Debian and Ubuntu official Docker images

The table below was made by installing the package python3 in each Docker image and then running python --version (see the python-versions.sh for more details). Release and end of life dates were taken from:

Distribution	Version	Codename	Released at	End of Life	Python version
Debian GNU/Linux	12	bookworm	2023-06-10	2026-06-10	Python 3.11.2

	#!/bin/bash

	python -m timeit 'tuple(n for n in range(100))'
	# Result: 100000 loops, best of 5: 2.09 usec per loop
	python -m timeit 'tuple([n for n in range(100)])'
	# Result: 200000 loops, best of 5: 1.13 usec per loop

	# pip install python-keycloak
	import os

	from keycloak import KeycloakAdmin
	from keycloak.exceptions import KeycloakGetError


	server_url = "http://keycloak:8080/auth/"
	admin_username = "admin"
	admin_password = "admin"

	#!/usr/bin/env python3
	import csv
	import os
	import tkinter as tk
	import xml.etree.ElementTree as ET
	from pathlib import Path
	from tkinter import filedialog, messagebox


	def get_properties(element):

	from pathlib import Path

	import timm
	import torch
	from PIL import Image


	class FeatureExtractor:
	"""Extract embeddings from images using timm's Dinov2 models"""
	model_names = (

	# Requirements:
	# sudo apt update && sudo apt install -y cmake
	# pip install face-recognition numpy opencv-python Pillow tqdm
	import cv2
	import face_recognition
	import numpy as np
	from PIL import Image
	from tqdm import tqdm

	#!/bin/bash

	filename="$1"

	if [[ -z $filename ]]; then
	echo "ERROR - usage: $0 <filename>"
	exit 1
	fi

	transformation_code='

	cidade_exterior
	ABLASSERDAN
	A CORUNA
	ACRA
	ADDISON
	AGUEDA
	AICHI-KEN
	ALAMEDA
	ALBLASSERDAM
	ALCALA DE HENARES