epicyon/filters.py

227 lines
7.6 KiB
Python

__filename__ = "filters.py"
__author__ = "Bob Mottram"
__license__ = "AGPL3+"
__version__ = "1.5.0"
__maintainer__ = "Bob Mottram"
__email__ = "bob@libreserver.org"
__status__ = "Production"
__module_group__ = "Moderation"
import os
from utils import data_dir
from utils import acct_dir
from utils import text_in_file
from utils import remove_eol
from utils import standardize_text
from utils import remove_inverted_text
from utils import remove_square_capitals
def add_filter(base_dir: str, nickname: str, domain: str, words: str) -> bool:
"""Adds a filter for particular words within the content of a
incoming posts
"""
filters_filename = acct_dir(base_dir, nickname, domain) + '/filters.txt'
if os.path.isfile(filters_filename):
if text_in_file(words, filters_filename):
return False
try:
with open(filters_filename, 'a+',
encoding='utf-8') as fp_filters:
fp_filters.write(words + '\n')
except OSError:
print('EX: unable to append filters ' + filters_filename)
return False
return True
def add_global_filter(base_dir: str, words: str) -> bool:
"""Adds a global filter for particular words within
the content of a incoming posts
"""
if not words:
return False
if len(words) < 2:
return False
filters_filename = data_dir(base_dir) + '/filters.txt'
if os.path.isfile(filters_filename):
if text_in_file(words, filters_filename):
return False
try:
with open(filters_filename, 'a+', encoding='utf-8') as fp_filters:
fp_filters.write(words + '\n')
except OSError:
print('EX: unable to append filters ' + filters_filename)
return False
return True
def remove_filter(base_dir: str, nickname: str, domain: str,
words: str) -> bool:
"""Removes a word filter
"""
filters_filename = acct_dir(base_dir, nickname, domain) + '/filters.txt'
if not os.path.isfile(filters_filename):
return False
if not text_in_file(words, filters_filename):
return False
new_filters_filename = filters_filename + '.new'
try:
with open(filters_filename, 'r', encoding='utf-8') as fp_filt:
with open(new_filters_filename, 'w+', encoding='utf-8') as fp_new:
for line in fp_filt:
line = remove_eol(line)
if line != words:
fp_new.write(line + '\n')
except OSError as ex:
print('EX: unable to remove filter ' +
filters_filename + ' ' + str(ex))
return False
if os.path.isfile(new_filters_filename):
os.rename(new_filters_filename, filters_filename)
return True
return False
def remove_global_filter(base_dir: str, words: str) -> bool:
"""Removes a global word filter
"""
filters_filename = data_dir(base_dir) + '/filters.txt'
if not os.path.isfile(filters_filename):
return False
if not text_in_file(words, filters_filename):
return False
new_filters_filename = filters_filename + '.new'
try:
with open(filters_filename, 'r', encoding='utf-8') as fp_filt:
with open(new_filters_filename, 'w+', encoding='utf-8') as fp_new:
for line in fp_filt:
line = remove_eol(line)
if line != words:
fp_new.write(line + '\n')
except OSError as ex:
print('EX: unable to remove global filter ' +
filters_filename + ' ' + str(ex))
return False
if os.path.isfile(new_filters_filename):
os.rename(new_filters_filename, filters_filename)
return True
return False
def _is_twitter_post(content: str) -> bool:
"""Returns true if the given post content is a retweet or twitter crosspost
"""
features = (
'/x.com', '/twitter.', '/nitter.', '@twitter.', '@nitter.',
'>RT <', '_tw<', '_tw@', 'tweet', 'Tweet', '🐦🔗'
)
for feat in features:
if feat in content:
return True
return False
def _is_filtered_base(filename: str, content: str,
system_language: str) -> bool:
"""Uses the given file containing filtered words to check
the given content
"""
if not os.path.isfile(filename):
return False
content = remove_inverted_text(content, system_language)
content = remove_square_capitals(content, system_language)
# convert any fancy characters to ordinary ones
content = standardize_text(content)
try:
with open(filename, 'r', encoding='utf-8') as fp_filt:
for line in fp_filt:
filter_str = remove_eol(line)
if not filter_str:
continue
if len(filter_str) < 2:
continue
if '+' not in filter_str:
if filter_str in content:
return True
else:
filter_words = filter_str.replace('"', '').split('+')
for word in filter_words:
if word not in content:
return False
return True
except OSError as ex:
print('EX: _is_filtered_base ' + filename + ' ' + str(ex))
return False
def is_filtered_globally(base_dir: str, content: str,
system_language: str) -> bool:
"""Is the given content globally filtered?
"""
global_filters_filename = data_dir(base_dir) + '/filters.txt'
if _is_filtered_base(global_filters_filename, content,
system_language):
return True
return False
def is_filtered_bio(base_dir: str,
nickname: str, domain: str, bio: str,
system_language: str) -> bool:
"""Should the given actor bio be filtered out?
"""
if is_filtered_globally(base_dir, bio, system_language):
return True
if not nickname or not domain:
return False
account_filters_filename = \
acct_dir(base_dir, nickname, domain) + '/filters_bio.txt'
return _is_filtered_base(account_filters_filename, bio, system_language)
def is_filtered(base_dir: str, nickname: str, domain: str,
content: str, system_language: str) -> bool:
"""Should the given content be filtered out?
This is a simple type of filter which just matches words, not a regex
You can add individual words or use word1+word2 to indicate that two
words must be present although not necessarily adjacent
"""
if is_filtered_globally(base_dir, content, system_language):
return True
if not nickname or not domain:
return False
# optionally remove retweets
remove_twitter = acct_dir(base_dir, nickname, domain) + '/.removeTwitter'
if os.path.isfile(remove_twitter):
if _is_twitter_post(content):
return True
account_filters_filename = \
acct_dir(base_dir, nickname, domain) + '/filters.txt'
return _is_filtered_base(account_filters_filename, content,
system_language)
def is_question_filtered(base_dir: str, nickname: str, domain: str,
system_language: str, question_json: {}) -> bool:
"""is the given question filtered based on its options?
"""
if question_json.get('oneOf'):
question_options = question_json['oneOf']
else:
question_options = question_json['object']['oneOf']
for option in question_options:
if option.get('name'):
if is_filtered(base_dir, nickname, domain, option['name'],
system_language):
return True
return False