a short script to grab a random object and then get its Albers rings and build and image.

albersify.py

#!/usr/bin/env python

import glob
import pycurl
import urllib
import simplejson as json
import cStringIO
import Image, ImageDraw
import sys
import os
from random import randint
import urlparse

api_token = 'YOUR-COOPER-HEWITT-TOKEN'
 
buf = cStringIO.StringIO()
 
c = pycurl.Curl()
c.setopt(c.URL, 'https://api.collection.cooperhewitt.org/rest')
d = {'method':'cooperhewitt.objects.getRandom','access_token':api_token}

c.setopt(c.WRITEFUNCTION, buf.write)

c.setopt(c.POSTFIELDS, urllib.urlencode(d) )
c.perform()

random = json.loads(buf.getvalue())

buf.reset()
buf.truncate()

object_id = random.get('object', [])
object_id = object_id.get('id', [])

print object_id

d = {'method':'cooperhewitt.objects.getAlbers','id':object_id ,'access_token':api_token}

c.setopt(c.POSTFIELDS, urllib.urlencode(d) )
c.perform()

albers = json.loads(buf.getvalue())

rings = albers.get('rings',[])
ring1color = rings[0]['hex_color']
ring2color = rings[1]['hex_color']
ring3color = rings[2]['hex_color']

ring1id = rings[0]['value']
ring2id = rings[1]['value']
ring3id = rings[2]['value']

print ring1color, ring2color, ring3color

buf.close()

# build the image / write it to disk

size = (1000,1000)             
im = Image.new('RGB', size, ring1color) 
draw = ImageDraw.Draw(im)

ring2coordinates = ( randint(50,100), randint(50,100) , randint(900, 950), randint(900,950))

print ring2coordinates

ring3coordinates = ( randint(ring2coordinates[0]+50, ring2coordinates[0]+100) , randint(ring2coordinates[1]+50, ring2coordinates[1]+100) ,  randint(ring2coordinates[2]-200, ring2coordinates[2]-50) , randint(ring2coordinates[3]-200, ring2coordinates[3]-50) )

print ring3coordinates

draw.rectangle(ring2coordinates, fill=ring2color)
draw.rectangle(ring3coordinates, fill=ring3color)

del draw 

im.save('file.png', 'PNG')