import { NextRequest } from "next/server";
import { dFetchJSON, applyQFilter, json, Option } from "../_lib";

type Row = { submission_id: string | number; make?: string | null; model?: string | null; nm?: string | null };

function rangeForTarget(target?: string | null): [number, number] | null {
    if (!target) return null;
    const t = target.toLowerCase();
    if (t === "fiber") return [1000, 9000];
    if (t === "uv") return [300, 400];
    if (t === "co2-gantry" || t === "co2-galvo") return [10000, 11000];
    return null;
}
function parseNm(s?: string | null): number | null {
    if (!s) return null;
    const m = String(s).match(/(\d+(\.\d+)?)/);
    return m ? Number(m[1]) : null;
}

export async function GET(req: NextRequest) {
    const url = new URL(req.url);
    const q = url.searchParams.get("q");
    const target = url.searchParams.get("target"); // fiber | uv | co2-gantry | co2-galvo
    const { data } = await dFetchJSON<{ data: Row[] }>(
        req,
        "/items/laser_source?fields=submission_id,make,model,nm&limit=2000&sort=make,model"
    );

    const range = rangeForTarget(target);
    const filteredByNm = range
    ? data.filter((r) => {
        const v = parseNm(r.nm);
        return v != null && v >= range[0] && v <= range[1];
    })
    : data;

    const options: Option[] = filteredByNm.map((r) => ({
        id: r.submission_id,
        label: [r.make, r.model].filter(Boolean).join(" ") || String(r.submission_id),
    }));

    return json(applyQFilter(options, q, (o) => o.label));
}