Andrew Williams nikdoof

JRouter Grafana Dashboard

This viz queries globaltalk_zones{}, which is produced on a Netatalk configured system via Crontab and node-exporter:

echo "globaltalk_zones $(/usr/local/bin/getzones | wc -l)" > /var/lib/prometheus/node-exporter/globaltalk.prom

openpgp4fpr:AED7F07FE3A146A280CADB6686DAB9F71FF20A3A

	import requests
	import argparse
	import csv
	from urllib.parse import urljoin
	from datetime import datetime
	import airportsdata

	airports = airportsdata.load("IATA")

	def get_icao_code(iata_code):

	# Builder
	FROM ghcr.io/hugomods/hugo:dart-sass AS build
	ARG GH_ACCESS_TOKEN
	WORKDIR /tmp/hugo
	COPY . .
	RUN apk add --no-cache make && git config --global url.https://${GH_ACCESS_TOKEN}@github.com/.insteadOf https://github.com/ && make build

	# Ngnix container with site
	FROM nginx:alpine-slim
	WORKDIR /usr/share/nginx/html

	#!/usr/bin/env python3
	"""
	Scrapes for phlebotomy appointments at St Helens & Knowsley Teaching Hospitals locations.

	The local NHS trust uses Simplybook to manage their bloods appointment, and
	unfortunatly the Web UI for doing this is slow and unreliable. It can take
	upwards of 5-10 minutes to check for available appointments at each location.

	This script scrapes the API to provide a list of the next available appointment
	at each location, saving time when hunting for one.


	DECIMAL HEXADECIMAL DESCRIPTION
	--------------------------------------------------------------------------------
	84792 0x14B38 CRC32 polynomial table, little endian
	86716 0x152BC xz compressed data
	131072 0x20000 uImage header, header size: 64 bytes, header CRC: 0xB07BDC72, created: 2023-11-05 19:22:42, image size: 104304 bytes, Data Address: 0x0, Entry Point: 0x0, data CRC: 0xA4DFAB1B, OS: Firmware, CPU: ARM, image type: OS Kernel Image, compression type: lzma, image name: "MVX4##I6B0gf3a2dcfCM_UBT1501#XVM"
	131136 0x20040 xz compressed data
	327680 0x50000 uImage header, header size: 64 bytes, header CRC: 0x53A646C, created: 2023-11-12 23:19:25, image size: 1855208 bytes, Data Address: 0x20008000, Entry Point: 0x20008000, data CRC: 0x25417C70, OS: Linux, CPU: ARM, image type: OS Kernel Image, compression type: none, image name: "Linux-4.9.84-ssc333"
	342619 0x53A5B xz compressed data
	342953 0x53BA9

	esphome:
	name: "${devicename}"
	comment: "${device_description}"
	build_path: "${devicename}"

	wifi:
	ssid: !secret wifi_ssid
	password: !secret wifi_password
	domain: !secret wifi_domain
	fast_connect: true

	#!/usr/bin/env python3
	"""
	Miniflux2OPML

	A tool designed to extract a user's OPML file from a Miniflux installation,
	with added support for outputting the OPML into JSON.

	Copyright 2022 Andrew Williams
	License: MIT
	"""