import { main, rankCalc } from "./site.js";
import e from "express";

let {
    site = 'darflen',
    route = './test.txt',
    pageLimit = 0.1,
    blackList = '',
    greyList = '',
    discardThreshold = 1,
    delay = 100,
    depth = 1,
    isRelative = false,
    fetchRate = 15,
    user = 'paradock',
    matrixIterations = 3,
    useArchive = true,
    isGpu = false,
    mode = 'cli',
    port = 6952,
    arrayMax = 800
} = process.env;
let settings = {
    site, route, pageLimit, blackList, greyList, discardThreshold, delay,
    depth, isRelative, fetchRate, user, matrixIterations, useArchive, isGpu,
    arrayMax
};

if (mode == 'cli') {
    main(settings);
} else if (mode == 'site') {
    const app = e();
    app.get('/top', async (req, res) => {
        let json = await fetch("https://nbg.dervland.net/api/followjson.php");
        json = await json.json();

        let { ref } = req.query;

        let data = {};

        for (let entryI in json) {
            let entry = json[entryI];
            let user = data[entry.username] || {};
            let target = data[entry.target] || {};

            let f1 = user.following = user.following || [];
            let f2 = user.followers = user.followers || [];
            let f3 = target.following = target.following || [];
            let f4 = target.followers = target.followers || [];

            f3.push(entry.username);
            f2.push(entry.target);

            data[entry.username] = user;
            data[entry.target] = target;
        }
        let calcedRank = rankCalc(data, matrixIterations, ref ? [ref] : [], false, settings.isGpu, settings.arrayMax);
        let dat = Object.entries(calcedRank);
        dat = dat.sort((a, b) => b[1] - a[1]);
        console.log(`Graph is calculated with ${dat.length} entries`);
        let dat2 = {};
        for (let d of dat) {
            dat2[d[0]] = d[1] * 100 + "%";
        }

        res.send(JSON.stringify(dat2))
    })

    app.listen(port);
    console.log(`App listening on port ${port}`)
}