henrikj242

I wanted to fetch emails from an IMAP or POP3 account, and send them to my Rails app with all the benefits from the ActionMailbox, but I couldn't seem to find a well-defined way to do this.

So, I ended up looking at the source of the relay ingress

Here we can see how the controller takes the raw email source and creates the InboundEmail:

ActionMailbox::InboundEmail.create_and_extract_message_id! request.body.read

henrikj242

# cd to a some default direcory
# cd /c/code/

# load ssh agent so to not keep having to enter keyfile password
eval $(ssh-agent -s)
ssh-add

# Was only used on a particular project
# export VAGRANT_WSL_ENABLE_WINDOWS_ACCESS="1"
# export PATH=$PATH:/c/Users/henrik/.vagrant.d

henrikj242

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henrikj242

require 'nokogiri'

unordered_list = <<~END
<ul>
  <li>
    First item
  </li>
  <li>
    Second item
    <ul>

henrikj242

# Use mongo console command `show databases` to get the databases and their size:
dbs=$(mongo --quiet <<EOF
show dbs
quit()
EOF
)
i=0
j=0
client_dbs=()
for db in ${dbs[*]}

henrikj242

# Save this file in spec/support/matchers

RSpec::Matchers.define :be_an_array_of do |expected|
  match do |actual|
    actual.is_a?(Array) && actual.map(&:class) == expected
  end
end

# usage:
# expect([Subscriber.new(email: '[email protected]'), []]).to be_an_array_of([Subscriber, Array])

henrikj242

using System;
using System.IO;
using System.Net;

namespace pmAttachment
{
    class Program
    {
        static void Main(string[] args)
        {

henrikj242

## -------------------------------------------------------------------------------------
# This script parses a csv file, groups customers (whom may occur more than once), based on their email.
# It attempts to include the most meaningful stem data (first name, last name etc) for each customer 
# - This means taking the last value after sorting so to not use empty values, but it the same customer 
# exists more than once with actual values in his stem data, it may become invalid.
# It generates a row for each customer, with their purchases listed in the same way as the input file:
# - All skus in one column, separated by a comma,
# - All order dates in one column, separated by a comma
# ... etc
# Certain columns (7-13) are skipped

henrikj242

{
    This code is for the Native Instruments Kontakt sampler v4 or above.
    It may assist in converting between the ksp-specific range (0 - 1_000_000) and decibel (as used to set the volume for groups).
    I've also published a list of some values between 100_000 and 1_000_000 in steps of 10_000:
    https://docs.google.com/spreadsheets/d/1JmXV9E0mrHkd7ZTm2n1LCRxZPhiueFGVP4dtLR6U04Y
}

on init
    declare ui_knob $Volume (100000, 1000000, 1)
    set_knob_unit ($Volume,$KNOB_UNIT_DB)    

henrikj242

#!/usr/bin/ruby

# We use this script to rename samples. The samples come from Logic, and have then been batch-processed (but not renamed)
# This script renames samples in a specified directory like so:
# - Give them all a three digit numeric suffix.
# - If it's a BD or SD +OSC2 sample, assume it's "colored" and name it accordingly.
# - In all other cases, assume not "colored", and just name it with A (round-robin, not accent) or B (round-robin, accent).
#
# Note that while the dry run does not make any changes, it may not reveal potential issues when running the script for real.