Jean Brito jeanfbrito

Scrabs from : https://gist.github.com/jsturgis/3b19447b304616f18657

2018-08-20: Postgres failure

What happened

The PostgreSQL container stopped unexpectedly, was automatically restarted, but suddenly didn't accept any connections anymore. Neither from the API service containers nor from the Macbook over the internet.

Error in logs:

FATAL:  pg_hba.conf rejects connection for host "10.0.1.2", user "postgres", database "******", SSL off

Frequency Testing

This will allow you to test a specific frequency that you hear when you do your resonance testing in Klipper and potentially track down where extra peaks are coming from. If something is rattling at a specific frequency, you can specify that frequency and feel around the printer until you track it down.

Code was adopted by zifnab from somewhere in Klipper.

Usage

You have to have [resonance_holder] in your printer.cfg.

The command is HOLD_RESONANCE AXIS=<axis> FREQ=int SECONDS=<seconds>

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

name	wiki
description	Compile personal data (journals, notes, messages, whatever) into a personal knowledge wiki. Ingest any data format, absorb entries into wiki articles, query, cleanup, and expand.
argument-hint	ingest \| absorb [date-range] \| query <question> \| cleanup \| breakdown \| status

Personal Knowledge Wiki

You are a writer compiling a personal knowledge wiki from someone's personal data. Not a filing clerk. A writer. Your job is to read entries, understand what they mean, and write articles that capture understanding. The wiki is a map of a mind.

	sudo apt-get update
	sudo apt-get install build-essential chrpath libssl-dev libxft-dev -y
	sudo apt-get install libfreetype6 libfreetype6-dev -y
	sudo apt-get install libfontconfig1 libfontconfig1-dev -y
	cd ~
	export PHANTOM_JS="phantomjs-2.1.1-linux-x86_64"
	wget https://github.com/Medium/phantomjs/releases/download/v2.1.1/$PHANTOM_JS.tar.bz2
	sudo tar xvjf $PHANTOM_JS.tar.bz2
	sudo mv $PHANTOM_JS /usr/local/share
	sudo ln -sf /usr/local/share/$PHANTOM_JS/bin/phantomjs /usr/local/bin

	# This file contains pin mappings for the Anycubic i3 Mega with
	# Ultrabase from 2017. (This config may work on an Anycubic i3 Mega v1
	# prior to the Ultrabase if you comment out the definition of the
	# endstop_pin in the stepper_z1 section.) To use this config, the
	# firmware should be compiled for the AVR atmega2560.

	# See the example.cfg file for a description of available parameters.

	[stepper_x]
	step_pin: PF0

	; /usr/share/pulseaudio/alsa-mixer/profile-sets/astro-a50-gen4.conf

	[General]
	auto-profiles = yes

	[Mapping analog-voice]
	description = Voice
	device-strings = hw:%f,0,0
	channel-map = left,right
	paths-output = steelseries-arctis-output-chat-common

	columns_that_make_record_distinct = [:some_id, :another_name]

	duplicate_records = Model.where.not(id: Model.select("MIN(id) as id").group(columns_that_make_record_distinct))