"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.doSearch = void 0;
const Twitter = require("twitter");
const loggers_1 = require("./loggers");
const utils_1 = require("./utils");
let doSearch = (conf, receiver) => {
    throw Error();
};
exports.doSearch = doSearch;
const TWITTER_EPOCH = 1288834974657;
const snowflake = (epoch) => Number.isNaN(epoch) ? undefined :
    utils_1.BigNumOps.lShift(String(epoch - 1 - TWITTER_EPOCH), 22);
const logger = (0, loggers_1.getLogger)('twitter');
var AdaptiveSearch;
(function (AdaptiveSearch) {
    ;
    AdaptiveSearch.isCursor = (entry) => entry.sortIndex === '0' || entry.sortIndex === '999999999';
})(AdaptiveSearch || (AdaptiveSearch = {}));
class default_1 {
    constructor(opt) {
        this.search = (conf) => {
            for (const key in conf) {
                if (!conf[key])
                    delete conf[key];
            }
            const origQuery = conf.query;
            delete conf.query;
            const paramNames = { until: 'max_id', since: 'since_id' };
            logger.info(`performing custom query ${origQuery} with config: ${JSON.stringify(conf)}`);
            const query = origQuery.replace(new RegExp(`(${Object.values(paramNames).join('|')}):\d+`, 'g'), ($0, $1) => conf[$1] ? '' : $0).replace(/\(\)/g, '') +
                Object.keys(paramNames).map(k => conf[k] && `(${paramNames[k]}:${conf[k]})`).join();
            const doSearch = (q, tweets = [], cursor) => this.privateClient.get('https://api.twitter.com/2/search/adaptive.json', Object.assign({ q, tweet_mode: 'extended', count: 20, include_entities: true, query_source: 'typed_query' }, (cursor && { cursor }))).then(({ globalObjects: { tweets: tweetDict, users: userDict }, timeline: { instructions: { 0: { addEntries: { entries } } } } }) => {
                const newTweets = Object.values(tweetDict);
                let bottomCursor;
                if (newTweets.length) {
                    logger.debug(`fetched tweets: ${JSON.stringify(newTweets)}`);
                    entries.sort((e1, e2) => Number(e1.sortIndex) - Number(e2.sortIndex));
                    if (AdaptiveSearch.isCursor(entries[0])) {
                        bottomCursor = entries[0];
                        logger.info(`custom query ${origQuery} yielded ${newTweets.length} new tweets, next query will follow tweet ${entries[1].entryId.replace(/^sq-I-t-/, '')}`);
                    }
                    else {
                        logger.info(`custom query ${origQuery} ended after yielding ${newTweets.length} new tweets, last entry was tweet ${entries[0].entryId.replace(/^sq-I-t-/, '')}`);
                    }
                    newTweets.forEach(tweet => Object.assign(tweet, {
                        user: userDict[tweet.user_id_str],
                    }));
                    tweets.push(...newTweets);
                }
                if (!bottomCursor || !newTweets.length || tweets.length >= conf.count) {
                    logger.info(`custom query ${origQuery} finished successfully, ${tweets.length} tweets have been fetched`);
                    return tweets.slice(0, conf.count);
                }
                return doSearch(query, tweets, bottomCursor === null || bottomCursor === void 0 ? void 0 : bottomCursor.content.operation.cursor.value);
            });
            return doSearch(query);
        };
        this.privateClient = new Twitter({
            bearer_token: 'AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA',
            request: {
                headers: {
                    'Content-Type': 'application/x-www-form-urlencoded',
                    Cookie: `auth_token=${opt.privateAuthToken}; ct0=${opt.privateCsrfToken};`,
                    'X-CSRF-Token': opt.privateCsrfToken,
                },
            }
        });
        this.bot = opt.bot;
        exports.doSearch = ({ query, count, since, until }, receiver) => {
            const countNum = Number(count) || 15;
            this.search({
                query,
                count: Math.abs(countNum),
                since: utils_1.BigNumOps.parse(since) || snowflake(new Date(since).getTime()),
                until: utils_1.BigNumOps.parse(until) || snowflake(new Date(until).getTime()),
            })
                .then(tweets => (0, utils_1.chainPromises)(tweets.map(tweet => () => this.bot.sendTo(receiver, `\
用户：${tweet.user.name} (@${tweet.user.screen_name})
编号：${tweet.id_str}
时间：${tweet.created_at}
媒体：${tweet.extended_entities ? '有' : '无'}
正文：\n${tweet.full_text.replace(/^([\s\S\n]{50})[\s\S\n]+?( https:\/\/t.co\/.*)?$/, '$1…$2')}`))
                .concat(() => this.bot.sendTo(receiver, tweets.length ?
                '自定义查询完毕，使用 /twitter_view <编号> 查看推文详细内容。' :
                '自定义查询完毕，没有找到符合条件的推文。'))))
                .catch((err) => {
                var _a, _b;
                logger.warn(`error retrieving timeline: ${((_a = err[0]) === null || _a === void 0 ? void 0 : _a.message) || err}`);
                return this.bot.sendTo(receiver, `自定义查询时出现错误：${((_b = err[0]) === null || _b === void 0 ? void 0 : _b.message) || err}`);
            });
        };
    }
}
exports.default = default_1;