import * as storage from './storage.js'
import * as math from './math.js'

import { SESSION, MESSAGE, EVENT } from './enums';

let first_point_x = null;
let first_point_y = null;

function parse_and_insert_stroke(desk_id, line) {
    const words = line.split(' ');
    const width = parseInt(words.shift());
    const points = new Float32Array(words.map(i => parseFloat(i))); 

    if (first_point_x === null) {
        first_point_x = points[0];
        first_point_y = points[1];
    }

    for (let i = 0; i < points.length; i += 2) {
        points[i + 0] -= first_point_x;
        points[i + 1] -= first_point_y;
    }

    const stroke_res = storage.queries.insert_stroke.get({
        '$width': width,
        '$color': 0,
        '$points': points
    });

    storage.queries.insert_event.run({
        '$type': EVENT.STROKE,
        '$desk_id': desk_id, 
        '$session_id': 0, 
        '$stroke_id': stroke_res.id, 
        '$image_id': 0, 
        '$x': 0, 
        '$y': 0,
    });
}

async function import_milton_file_to_sqlite(fullpath) {
    storage.startup();
   
    const desk_id = 9881; // math.fast_random32();

    console.log(`Importing ${fullpath} into desk ${desk_id}`);

    storage.queries.insert_desk.run({
        '$id': desk_id, 
        '$title': `Desk ${desk_id}`
    });

    const input_file = Bun.file(fullpath);
    const input_text = await input_file.text();
    const input_lines = input_text.split('\n');

    for (let i = 0; i < input_lines.length; ++i) {
        console.log(`Importing ${i}/${input_lines.length}`);
        parse_and_insert_stroke(desk_id, input_lines[i]); 
    }

    console.log(`Finished importing desk ${desk_id}`);
}

import_milton_file_to_sqlite("/code/desk2/server/points.txt");