-ghosty Stickam 2crazy14oldchickz1- 32 -

# The third part could be the room name (may have digits) room = parts[2]

if len(parts) < 4: return {"error": "Not enough parts", "original": input_str}

# Last part should be the number last_part = parts[3] number = None if last_part.isdigit(): number = int(last_part) else: # if the number is attached like '32' at the end of a word, handle separately match = re.search(r'(\d+)$', input_str) if match: number = int(match.group(1)) # remove the number from the room if it was attached if not room: room = input_str.split()[-2] -ghosty Stickam 2crazy14oldchickz1- 32

It looks like you’re trying to create a feature (possibly a parser, tag extractor, data cleaner, or search filter) for a string like this:

# Pattern explanation: # ^(\w+) -> first word (username) # \s+(\w+) -> second word (platform) # \s+([^\d\s]+) -> alphanumeric room/channel name (no digits at start) # \s+(\d+)$ -> trailing number (age or count) # But given "2crazy14oldchickz1" starts with digit, we adjust: # The third part could be the room

return { "username": username, "platform": platform, "room": room, "number": number, "original": input_str } result = parse_ghosty_feature("-ghosty Stickam 2crazy14oldchickz1- 32") print(result)

# Better: split by spaces, then detect parts parts = cleaned.split() 4: return {"error": "Not enough parts"

import re def parse_ghosty_feature(input_str: str): # Remove leading/trailing spaces and hyphens cleaned = input_str.strip().strip('-')