Convert SmartIR Broadlink commands to Tuya

broadlink_to_tuya.py

import io
import base64
import json
import sys
from bisect import bisect
from struct import pack, unpack
from math import ceil

BRDLNK_UNIT = 269 / 8192

# MAIN API
filter = lambda x: [i for i in x if i<65535]

def encode_ir(command: str) -> str:
	# command = "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"
  signal = filter(get_raw_from_broadlink(base64.b64decode(command).hex()))

  payload = b''.join(pack('<H', t) for t in signal)
  compress(out := io.BytesIO(), payload, level = 2)
  payload = out.getvalue()
  return base64.encodebytes(payload).decode('ascii').replace('\n', '')


# COMPRESSION

def emit_literal_blocks(out: io.FileIO, data: bytes):
	for i in range(0, len(data), 32):
		emit_literal_block(out, data[i:i+32])

def emit_literal_block(out: io.FileIO, data: bytes):
	length = len(data) - 1
	assert 0 <= length < (1 << 5)
	out.write(bytes([length]))
	out.write(data)

def emit_distance_block(out: io.FileIO, length: int, distance: int):
	distance -= 1
	assert 0 <= distance < (1 << 13)
	length -= 2
	assert length > 0
	block = bytearray()
	if length >= 7:
		assert length < (1 << 8)
		block.append(length - 7)
		length = 7
	block.insert(0, length << 5 | distance >> 8)
	block.append(distance & 0xFF)
	out.write(block)

def compress(out: io.FileIO, data: bytes, level=2):
	'''
	Takes a byte string and outputs a compressed "Tuya stream".
	Implemented compression levels:
	0 - copy over (no compression, 3.1% overhead)
	1 - eagerly use first length-distance pair found (linear)
	2 - eagerly use best length-distance pair found
	3 - optimal compression (n^3)
	'''
	if level == 0:
		return emit_literal_blocks(out, data)

	W = 2**13 # window size
	L = 256+9 # maximum length
	distance_candidates = lambda: range(1, min(pos, W) + 1)

	def find_length_for_distance(start: int) -> int:
		length = 0
		limit = min(L, len(data) - pos)
		while length < limit and data[pos + length] == data[start + length]:
			length += 1
		return length
	find_length_candidates = lambda: \
		( (find_length_for_distance(pos - d), d) for d in distance_candidates() )
	find_length_cheap = lambda: \
		next((c for c in find_length_candidates() if c[0] >= 3), None)
	find_length_max = lambda: \
		max(find_length_candidates(), key=lambda c: (c[0], -c[1]), default=None)

	if level >= 2:
		suffixes = []; next_pos = 0
		key = lambda n: data[n:]
		find_idx = lambda n: bisect(suffixes, key(n), key=key)
		def distance_candidates():
			nonlocal next_pos
			while next_pos <= pos:
				if len(suffixes) == W:
					suffixes.pop(find_idx(next_pos - W))
				suffixes.insert(idx := find_idx(next_pos), next_pos)
				next_pos += 1
			idxs = (idx+i for i in (+1,-1)) # try +1 first
			return (pos - suffixes[i] for i in idxs if 0 <= i < len(suffixes))

	if level <= 2:
		find_length = { 1: find_length_cheap, 2: find_length_max }[level]
		block_start = pos = 0
		while pos < len(data):
			if (c := find_length()) and c[0] >= 3:
				emit_literal_blocks(out, data[block_start:pos])
				emit_distance_block(out, c[0], c[1])
				pos += c[0]
				block_start = pos
			else:
				pos += 1
		emit_literal_blocks(out, data[block_start:pos])
		return

	# use topological sort to find shortest path
	predecessors = [(0, None, None)] + [None] * len(data)
	def put_edge(cost, length, distance):
		npos = pos + length
		cost += predecessors[pos][0]
		current = predecessors[npos]
		if not current or cost < current[0]:
			predecessors[npos] = cost, length, distance
	for pos in range(len(data)):
		if c := find_length_max():
			for l in range(3, c[0] + 1):
				put_edge(2 if l < 9 else 3, l, c[1])
		for l in range(1, min(32, len(data) - pos) + 1):
			put_edge(1 + l, l, 0)

	# reconstruct path, emit blocks
	blocks = []; pos = len(data)
	while pos > 0:
		_, length, distance = predecessors[pos]
		pos -= length
		blocks.append((pos, length, distance))
	for pos, length, distance in reversed(blocks):
		if not distance:
			emit_literal_block(out, data[pos:pos + length])
		else:
			emit_distance_block(out, length, distance)

def get_raw_from_broadlink(string):
  dec = []
  unit = BRDLNK_UNIT  # 32.84ms units, or 2^-15s
  length = int(string[6:8] + string[4:6], 16)  # Length of payload in little endian

  i = 8
  while i < length * 2 + 8:  # IR Payload
    hex_value = string[i:i+2]
    if hex_value == "00":
      hex_value = string[i+2:i+4] + string[i+4:i+6]  # Quick & dirty big-endian conversion
      i += 4
    dec.append(ceil(int(hex_value, 16) / unit))  # Will be lower than initial value due to former round()
    i += 2

  return dec


def process_commands(filename):
  with open(filename, 'r') as file:
    data = json.load(file)

  def process_commands_recursively(commands):
    processed_commands = {}
    for key, value in commands.items():
      if isinstance(value, str):
        processed_commands[key] = encode_ir(value)
      elif isinstance(value, dict):
        processed_commands[key] = process_commands_recursively(value)
      else:
        processed_commands[key] = value

    return processed_commands

  data['commands'] = process_commands_recursively(data.get('commands', {}))
  data['supportedController'] = 'MQTT'
  data['commandsEncoding'] = 'Raw'
  return json.dumps(data, indent=2)


print(process_commands(sys.argv[1]))

@rafareusch the command should simply be python broadlink_to_tuya.py 1400.json remove > 1400tuya.json

Still with command python broadlink_to_tuya.py 1400.json I get the same error

Try upgrading to Python 3.10 or newer. It seems the .py file isn't compatible with some older versions.
I'm running Python 3.11.6 and it works fine for me.