superject/cards/deck-neural.rb

#!/usr/bin/env ruby -W0

# aprox. running time
# ./deck-neural.rb  144.08s user 10.49s system 28% cpu 8:55.15 total
# ./deck-neural.rb  155.95s user 10.38s system 30% cpu 9:00.29 total
# cards-36.csv
# ./deck-neural.rb  30.74s user 2.63s system 105% cpu 31.507 total
# 50 cards
# ./deck-neural.rb  76.23s user 6.31s system 132% cpu 1:02.50 total

require 'squib'
require 'rest-client'
require 'open-uri'
require 'json'
require 'digest'
require 'mini_magick'
require 'unsplash'
require 'pexels'

# cards from local csv and images vis text2image GAN
# https://deepai.org/machine-learning-model/text2img
$deepai_api_key = "59b70a3d-d42a-42be-979d-d09ec08ec7e0"

$pexels_api_key = "563492ad6f917000010000016e741b30a565426c90e5b65b6b34063b"

# prod the GAN in a potentially relevant direction with a keyword or phrase prefix
$keyword = ""

# where to get images? try "t2i" or "unsplash" or "pexels"
$img_source = "unsplash"

# cards descriptions
#$cards_csv = 'cards-p50-1.csv'    # 23:02
#$cards_csv = 'cards-p50-2.csv'    # 21:24
#$cards_csv = 'cards-p50-3.csv'    # 22:52

# unsplash config
Unsplash.configure do |config|
  config.application_access_key = "FWIsA-zAhsj3biPbVH3-H6qoeB30EVazjQpIjlrnaoE"
  config.application_secret = "Qcr0ETekpsPVMsGBRSmHSsF7NvAnqWkiZmKw9KP9Ros"
  config.application_redirect_uri = "urn:ietf:wg:oauth:2.0:oob"
  config.utm_source = "pandemic"
end

# cards descriptions input from csv 
data = Squib.csv file: $cards_csv

# text2image slurp

def get_img_t2i (phrase)
  puts "test2img> #{$keyword} #{phrase}"
  d0 = Digest::RMD160.hexdigest phrase
  r0 = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/text2img', timeout: 600,
                                  headers: {'api-key' => $deepai_api_key },
                                  payload: { 'text' => "#{$keyword} #{$phrase}" } )
  f0 = "img/#{d0}.png"
  t0 = MiniMagick::Image.open(JSON.parse(r0)['output_url'])
  t0.format('png').write(f0)
  puts "wrote: " + f0
  return f0
end

# unsplash
# - https://github.com/unsplash/unsplash_rb
# - https://www.rubydoc.info/github/unsplash/unsplash_rb/

def get_img_unsplash (phrase)
  puts "unsplash> #{$keyword} #{phrase}"
  d0 = Digest::RMD160.hexdigest phrase
  r0 = Unsplash::Photo.random(query: "#{$keyword} #{phrase}", orientation: "squarish")

  if true
      f0 = "img/#{d0}.png"
      t0 = MiniMagick::Image.open(r0.urls.regular)
      t0.format('png').write(f0)
      puts "wrote: " + f0
      return f0
  else
    p "couldn't find an image for #{$keyword} #{phrase}..."
    return "img/blank.png"
  end
  rescue
    p "wonk? err..."
    return "img/blank.png"
end

# pexels
$pxl = Pexels::Client.new($pexels_api_key)

def get_img_pexels (phrase)
  puts "pexels> #{$keyword} #{phrase}"
  d0 = Digest::RMD160.hexdigest phrase
  r0 = $pxl.photos.search("#{$keyword} #{phrase}", per_page: 1)
  f0 = "img/#{d0}.png"
  if !r0.photos.empty?
    r1 = r0.photos[0].src["portrait"] 
    t0 = MiniMagick::Image.open(r1)
    t0.format('png').write(f0)
    p "wrote: " + f0
    return f0
  else
    p "couldn't find an image for #{$keyword} #{phrase}..."
    return "img/blank.png"
  end
end

# other options for automated image collation
# - https://pixabay.com/api/docs/#api_search_images
# - https://github.com/public-apis/public-apis#photography
# - https://en.wikipedia.org/wiki/Wikipedia:Public_domain_image_resources
# - https://commons.wikimedia.org/wiki/Category:Images
# - https://rapidapi.com/collection/image-apis

#layouts = ['economy.yml', 'space-layout-1.yml']
layouts = ['space-layout-3.yml']

c1 = '#9f68ed'
c2 = '#ed9f68'
c3 = '#b5ed68'
c4 = '#eeeeee'

# conditional coloring
#     https://squib.readthedocs.io/en/v0.15.0/colors.html?highlight=color#samples

color = c1

Squib::Deck.new cards: data['name'].size, width: '38mm', height: '60mm', layout: layouts do

  # set background colour per card type
  bg = data['type'].map do |t|
    if (t.eql? 'O')
      c1
    elsif (t.eql? 'Q')
      c2
    elsif (t.eql? 'Q')
      c3      
    else
      c4
    end
  end
  
  # set fill colour per card type
  fg = data['type'].map do |t|
   if (t.eql? 'O')
      c2
    elsif (t.eql? 'Q')
      c1
    elsif (t.eql? 'Q')
      c4  
    else
      c4
   end
  end

  # associative image search and/or generation
  #  https://experiments.runwayml.com/generative_engine/
  #  https://deepai.org/machine-learning-model/text2img

  # generate & collect images
  case $img_source
  when "t2i"
    dlimages = data['name'].map { |i| get_img_t2i i}
  when "unsplash"
    dlimages = data['name'].map { |i| get_img_unsplash i}
  when "pexels"
    dlimages = data['name'].map { |i| get_img_pexels i}
  else
    puts "unknown image source " + $img_source
  end
  
  # sharing & colours  
  background color: bg 
  rect fill_color: fg , x: '3mm', y: '3mm', width: '32mm', height: '54mm', radius: 32
    
  #rect layout: 'cut'   # cut line as defined by TheGameCrafter in economy.yml
  #rect layout: 'safe' # safe zone as defined by TheGameCrafter in economy.yml

  # in z-order low->high 
  text str: data['text'], layout: 'description'
  png file: dlimages, layout: 'illustration'
  png file: dlimages, layout: 'overlay'
  text str: data['type'], layout: 'type'
  text str: data['name'], layout: 'title'
  
  # output a png of each card 
  tag = Time.now.strftime('%Y%m%d_%H%M')

  save format: :png, prefix: "cards_#{$keyword}_#{tag}_#{$img_source}_", count_format: '%d'

  #.. and pdf of the deck on A4
  # see also https://squib.readthedocs.io/en/v0.15.0/sprues.html#list-of-sprues
  save format: :pdf, file: "deck_#{$keyword}_#{tag}_#{$img_source}.pdf",
       width: '297mm', height: '210mm', margin: '20mm',
       crop_marks: true,
       crop_stroke_width: 0.5

  #save_png
  #save_pdf
  
end