const similarity = require('similarity');

const { Observer, BinaryTree } = require('../../../interfaces');
const { FilterUtil, FilterPresets } = require('../../../../util');

const CONSTANTS = {};

module.exports = class AutoModeration extends Observer {

    constructor(client) {

        super(client, {
            name: 'autoModeration',
            priority: 1
        });

        this.hooks = [
            ['message', this.filterWords.bind(this)],
            ['messageUpdate', this.filterWords.bind(this)],
            ['message', this.filterLinks.bind(this)],
            ['messageUpdate', this.filterLinks.bind(this)],
            ['message', this.filterInvites.bind(this)],
            ['messageUpdate', this.filterInvites.bind(this)],
            ['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) {

    }

    async filterInvites(message, edited) {
        
    }

    async filterMentions(message) {
        
    }

};