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#!/usr/bin/env python3
import json
import random
import socket
import struct
import time
import numpy
import bz2
import os
import functools
from PIL import Image
from pixelterm import pixelterm
HOST, PORT = "172.23.42.29",2342
CMD_LED_DRAW = 18
def resize_image(img, size):
tw, th = size
w, h = img.size
a, b = w/tw, h/th
f = 1/max(a, b)
pos = int((tw-w*f)/2), int((th-h*f)/2)
buf = Image.new('RGBA', (tw, th))
buf.paste(img.resize((int(w*f), int(h*f))).convert('RGBA'), pos)
buf2 = Image.new('RGBA', (tw, th), (0, 0, 0, 255))
return Image.alpha_composite(buf2, buf)
class Display:
def __init__(self):
self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
self.size = 56*8, 8*20
def sendframe(self, frame):
self.sock.sendto(struct.pack('!HHHHH', CMD_LED_DRAW, 0,
(56*8*(12*20-8))%65536, 0x627a, 0) + # do. not. fucking. ask.
bz2.compress(frame), (HOST, PORT))
@staticmethod
def do_gamma(im, gamma):
"""Fast gamma correction with PIL's image.point() method"""
invert_gamma = 1.0/gamma
lut = [pow(x/255., invert_gamma) * 255 for x in range(256)]
lut = lut*4 # need one set of data for each band for RGBA
im = im.point(lut)
return im
@staticmethod
def encode_image(img, displaysize):
return numpy.frombuffer(Display.do_gamma(resize_image(img, displaysize), 0.5).convert('1').tobytes(), dtype='1b')
def weightedChoice(choices, default=None):
acc = 0
r = random.random()
for weight, choice in choices:
if r < (acc + weight):
return choice
acc += weight
return default
class Agent:
def __init__(self, path: 'pathlib.Path'):
self.config = json.loads((path / 'agent.json').read_text())
for ani in self.config['animations'].values():
for f in ani['frames']:
branching, exitBranch = f.get('branching'), f.get('exitBranch')
if 'branching' in f:
f['next'] = lambda f, idx: weightedChoice(
[ (b['weight']/100, b['frameIndex']) for b in f['branching']['branches'] ]
, default=idx+1)
elif 'exitBranch' in f:
f['next'] = lambda f, idx: f['exitBranch']
else:
f['next'] = lambda f, idx: idx+1
self.picmap = Image.open(path / 'map.png')
self.path = path
def __call__(self, action):
print('Playing:', action)
for frame in self._animate(action):
print('frame:', frame)
if 'images_encoded' in frame: # some frames contain branch info and sound, but no images
yield frame['images_encoded']
time.sleep(frame['duration']/1000)
def precalculate_images(self, dsp, termsize):
for ani in self.config['animations'].values():
for f in ani['frames']:
if 'images' in f:
f['images_encoded'] = self._precalculate_one_image(tuple(f['images'][0]), dsp, termsize)
self._precalculate_one_image.cache_clear()
@functools.lru_cache(maxsize=None)
def _precalculate_one_image(self, coords, dsp, termsize):
img = self.get_image(*coords)
return ( dsp.encode_image(img, dsp.size) if dsp else None,
pixelterm.termify_pixels(resize_image(img, termsize)) if termsize else None )
def _animate(self, action):
anim, idx = self.config['animations'][action]['frames'], 0
while idx < len(anim):
yield anim[idx]
idx = anim[idx]['next'](anim[idx], idx)
def get_image(self, x, y):
print('cropbox:', x, y, *self.config['framesize'], 'map:', self.picmap.size)
tw, th = self.config['framesize']
return self.picmap.crop((x, y, x+tw, y+th))
@property
def animations(self):
return list(self.config['animations'].keys())
if __name__ == '__main__':
import argparse, pathlib, sys
parser = argparse.ArgumentParser()
parser.add_argument('-l', '--list', action='store_true')
parser.add_argument('-a', '--agent', default='Clippy')
parser.add_argument('-e', '--endless', action='store_true')
parser.add_argument('-d', '--display', action='store_true')
parser.add_argument('-t', '--terminal', action='store_true')
parser.add_argument('action', default='Greeting', nargs='?')
args = parser.parse_args()
agent_path = pathlib.Path('agents') / args.agent
if not agent_path.is_dir():
print('Agent not found. Exiting.')
sys.exit(1)
if args.list:
print('\n'.join(Agent(agent_path).animations))
sys.exit(0)
dsp = Display() if args.display else None
agent = Agent(agent_path)
tx, ty = os.get_terminal_size()
termsize = (tx, ty*2) if args.terminal else None
agent.precalculate_images(dsp, termsize)
if args.endless:
while True:
if random.random() > 0.2:
for img_dsp, img_term in agent(random.choice(agent.animations)):
if args.terminal:
print('\033[H', end='')
print(pixelterm.termify_pixels(
resize_image(img, termsize)))
if args.display:
dsp.sendframe(img_dsp)
time.sleep(1)
else:
for img_dsp, img_term in agent(args.action):
if args.terminal:
print(pixelterm.termify_pixels(
resize_image(img, termsize)))
if args.display:
dsp.sendframe(img_dsp)
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