generate_palettes.py

import csv
import datetime
from pathlib import Path

def tohex(entry):
	return f'#{entry[0]:02x}{entry[1]:02x}{entry[2]:02x}'

def short(hash):
	return f'{hash[0:6]}…{hash[-6:]}'

def output_to_file(hash, palette, out):
	if len(palette) < 2:
		return

	if len(palette) <= 16:
		out.write(f'<div class="pal-box"><div class="pal-container"><div>')
		for e in palette:
			out.write(f'\t<div title="{tohex(e)}" style="background-color: {tohex(e)}" class="special-{len(palette)}"></div>\n')

	else:
		palette_grid_name = 'palette-multi-l' if len(palette) > 32 else 'palette-multi'
		out.write(f'<div class="pal-box"><div class="pal-container"><div class="{palette_grid_name}">\n')
		num_rows = (len(palette) + 15) // 16
		for i in range(num_rows):
			for j in range(16):
				index = i * 16 + j
				if index < len(palette):
					e = palette[index]
					out.write(f'\t<div title="{tohex(e)}" style="background-color: {tohex(e)}"></div>\n')
				else:
					out.write(f'\t<div></div>\n')
	out.write(f'</div></div>\n<p>tx: <a href="https://symbol.fyi/transactions/{hash}">{short(hash)}</a></p></div>\n\n')


def generate_output(hash, palette):
	with open('palettes.html', 'a', encoding='utf8') as output_file:
		output_to_file(hash, palette, output_file)


def process_plte(hash, height, id):
	file_path = Path(f'plte_{height}_{id}.dat')

	with file_path.open('rb', buffering=0) as input_file:
		plte = input_file.read()

	view = memoryview(plte)
	length = int.from_bytes(view[0:4], byteorder='big', signed=False)

	if length != len(view) - 8 - 4:
		raise RuntimeError('invalid chunk size')

	if 0 != length % 3:
		raise RuntimeError('chunk size is not multiple of 3')

	num_entries = length // 3
	chunk_data = view[8:8+length]
	palette = []
	#print(num_entries)
	for i in range(num_entries):
		r, g, b = chunk_data[:3]
		palette.append((r,g,b))
		chunk_data = chunk_data[3:]

	generate_output(hash, palette)


def main():
	with open('header.html', 'r', encoding='utf8') as input_file:
		with open('palettes.html', 'w', encoding='utf8') as output_file:
			output_file.write(input_file.read())

			output_file.write(f'<h2>Last generated {datetime.datetime.utcnow()} UTC</h2>\n')

	with open('metadata.csv', 'r', encoding='utf8') as input_file:
		r = csv.reader(input_file, delimiter=';')
		for entry in r:
			process_plte(*entry[1:])

	print(f'palettes.html generated ✅')


if '__main__' == __name__:
	main()