experimental word filter implementation

This commit is contained in:
Erik 2020-09-30 19:32:48 +03:00
parent 315c978917
commit 4b80a5ad30

View File

@ -1,13 +1,16 @@
const { Observer } = require('../../../interfaces/');
const similarity = require('similarity');
const { Observer, BinaryTree } = require('../../../interfaces');
const { FilterUtil, FilterPresets } = require('../../../../util');
const CONSTANTS = {};
class Automoderation extends Observer {
module.exports = class AutoModeration extends Observer {
constructor(client) {
super(client, {
name: 'automoderation',
name: 'autoModeration',
priority: 1
});
@ -21,10 +24,124 @@ class Automoderation extends Observer {
['message', this.filterMentions.bind(this)]
];
this.whitelist = new BinaryTree(this.client, FilterPresets.whitelist);
}
async filterWords(message, edited) {
const { guild, author, channel } = message;
if (!guild || author.bot) return;
const member = message.member || await guild.members.fetch(author.id).catch();
const settings = await guild.settings();
const setting = settings.wordFilter;
const { bypass, ignore, enabled, silent, explicit, fuzzy, tokenized, whitelist, actions, presets } = setting;
const roles = member.roles.cache.map((r) => r.id);
if (!enabled || roles.some((r) => bypass.includes(r.id)) || ignore.includes(channel.id)) return;
// Which message obj to work with
const msg = edited || message;
this.client.logger.debug(`Pre norm:\n${msg.cleanContent}`);
const content = FilterUtil.normalize(msg.cleanContent);
this.client.logger.debug(`Normalized\n${content}`);
let result = { match: null, matched: false, matcher: null, preset: false };
const words = content.toLowerCase().split(' ').filter((elem) => elem.length);
// Remove any potential bypass characters
const _words = words.map((word) => word.replace(/[.'*]/gu, ''));
// 1. Filter for preset lists
if (presets.length) {
for (const preset of presets) {
const text = _words.join('').replace(/\s/u, ''); //Also check for spaced out words, ex "f u c k"
//Combine array of presets to one expression
const regex = new RegExp(`(${FilterPresets[preset].join(')|(')})`, 'ui');
const match = content.match(regex) || text.length === words.length ? text.match(regex) : null;
if (!match) continue;
this.client.logger.debug(`Message matched with "${preset}" preset list.\nMatch: ${match[0]}\nFull content: ${content}`);
result = { match: match[0], matched: true, matcher: preset, preset: true };
break;
}
}
// 2. Filter explicit - no bypass checking (unless you count normalising the text, i.e. emoji letters => normal letters)
if (explicit.length && !result.matched) {
for (const word of explicit) {
//Do it like this instead of regex so it doesn't match stuff like Scunthorpe with cunt
if (words.some((_word) => _word === word)) {
this.client.logger.debug(`Message matched with "${word}" in the explicit list.\nFull content: ${content}`);
result = { match: word, matched: true, matcher: 'explicit', preset: false };
}
}
}
// 3. Filter fuzzy
if (fuzzy.length && !result.matched) {
const text = words.join('').replace(/\s/u, '');
const threshold = 0.93 - 0.165 * Math.log(text.length);
outer:
for (const _word of fuzzy) {
for (const word of words) {
const sim = similarity(word, _word);
const threshold = 0.93 - 0.165 * Math.log(word.length);
if (sim >= threshold) {
if (this.whitelist.find(word) || whitelist.some((w) => w === word) && sim < 1) continue;
this.client.logger.debug(`Message matched with "${_word}" in fuzzy.\nMatched word: ${word}\nFull content: ${content}\nSimilarity: ${sim}\nThreshold: ${threshold}`);
result = { match: word, matched: true, _matcher: _word, matcher: `fuzzy [\`${_word}\`, \`${sim}\`, \`${threshold}\`]`, preset: false };
break outer;
}
}
const sim = similarity(text, _word);
if (sim >= threshold) {
if (this.whitelist.find(text) || whitelist.some((w) => w === text) && sim < 1) continue;
this.client.logger.debug(`Message matched with "${_word}" in fuzzy.\nMatched word: ${text}\nFull content: ${content}\nSimilarity: ${sim}\nThreshold: ${threshold}`);
result = { match: text, matched: true, _matcher: _word, matcher: `fuzzy [\`${_word}\`, \`${sim}\`, \`${threshold}\`]`, preset: false };
break;
}
this.client.logger.debug(`Message did not match with "${_word}" in fuzzy.\nFull content: ${content}\nSimilarity: ${sim}\nThreshold: ${threshold}`);
}
}
// 4. Filter tokenized
if (tokenized.length && !result.matched) {
for (const word of explicit) {
//Do it like this instead of regex so it doesn't match stuff like Scunthorpe with cunt
if (content.toLowerCase().includes(word)) {
this.client.logger.debug(`Message matched with "${word}" in the tokenized list.\nFull content: ${content}`);
result = { match: word, matched: true, matcher: 'tokenized', preset: false };
}
}
}
// 5. Remove message, inline response and add a reason to msg object
if (!result.matched) return;
msg.filtered = result;
await msg.delete();
if (!silent) {
const res = await msg.formattedRespond('W_FILTER_DELETE', { params: { user: author.id } });
res.delete({ timeout: 10000 });
}
// 6. Automated actions
}
async filterLinks(message, edited) {
@ -39,6 +156,4 @@ class Automoderation extends Observer {
}
}
module.exports = Automoderation;
};