MarseyWorld/files/helpers/owoify.py

61 lines
1.8 KiB
Python

from owoify.structures.word import Word
from owoify.utility.interleave_arrays import interleave_arrays
from owoify.utility.presets import *
from files.helpers.regex import *
# Includes, excerpts, and modifies some functions from:
# https://github.com/deadshot465/owoify-py @ owoify/owoify.py
OWO_EXCLUDE_PATTERNS = [
owo_ignore_links_images_regex, # links []() and images ![]()
# NB: May not be effective when URL part contains literal spaces vs %20
# Also relies on owoify replacements currently not affecting symbols.
owo_ignore_emojis_regex, #emojis
owo_ignore_the_Regex, # exclude: 'the' ↦ 'teh'
sanitize_url_regex, # bare links
mention_regex, # mentions
group_mention_regex, #ping group mentions
poll_regex, # polls
choice_regex,
command_regex, # markup commands
]
def owoify(source, chud_phrase):
if '`' in source or '<pre>' in source or '<code>' in source:
return source
word_matches = owo_word_regex.findall(source)
space_matches = owo_space_regex.findall(source)
words = [Word(s) for s in word_matches]
spaces = [Word(s) for s in space_matches]
chud_words = chud_phrase.split() if chud_phrase else []
words = list(map(lambda w: owoify_map_token_custom(w, chud_words), words))
result = interleave_arrays(words, spaces)
result_strings = list(map(lambda w: str(w), result))
return ''.join(result_strings)
def owoify_map_token_custom(token, chud_words):
if token.word in chud_words:
return token
for pattern in OWO_EXCLUDE_PATTERNS:
# if pattern appears anywhere in token, do not owoify.
if pattern.search(token.word):
return token
# Original Owoification Logic (sans cases for higher owo levels)
for func in SPECIFIC_WORD_MAPPING_LIST:
token = func(token)
for func in OWO_MAPPING_LIST:
token = func(token)
# End Original Owoification Logic
return token