9ceb71ae2f
- Initial response set to null; Frontend now generates a list of anticipated stats; - Background evaluation dynamically updates DB upon completion; - Frontend actively monitors and finalizes upon stat evaluation completion.
83 lines
2.6 KiB
TypeScript
83 lines
2.6 KiB
TypeScript
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
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import type {NextApiRequest, NextApiResponse} from "next";
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import {withIronSessionApiRoute} from "iron-session/next";
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import {sessionOptions} from "@/lib/session";
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import axios, {AxiosResponse} from "axios";
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import formidable from "formidable-serverless";
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import {ref, uploadBytes} from "firebase/storage";
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import fs from "fs";
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import {app, storage} from "@/firebase";
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import {doc, getDoc, getFirestore, setDoc} from "firebase/firestore";
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import {Stat} from "@/interfaces/user";
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import {speakingReverseMarking} from "@/utils/score";
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const db = getFirestore(app);
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export default withIronSessionApiRoute(handler, sessionOptions);
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async function handler(req: NextApiRequest, res: NextApiResponse) {
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if (!req.session.user) {
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res.status(401).json({ok: false});
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return;
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}
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const form = formidable({keepExtensions: true});
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await form.parse(req, async (err: any, fields: any, files: any) => {
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if (err) console.log(err);
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const uploadingAudios = await Promise.all(
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Object.keys(files).map(async (fileID: string) => {
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const audioFile = files[fileID];
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const questionID = fileID.replace("answer_", "question_");
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const audioFileRef = ref(storage, `speaking_recordings/${(audioFile as any).path.replace("upload_", "")}`);
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const binary = fs.readFileSync((audioFile as any).path).buffer;
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const snapshot = await uploadBytes(audioFileRef, binary);
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fs.rmSync((audioFile as any).path);
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return {question: fields[questionID], answer: snapshot.metadata.fullPath};
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}),
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);
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res.status(200).json(null);
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console.log("🌱 - Still processing");
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const backendRequest = await evaluate({answers: uploadingAudios});
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console.log("🌱 - Process complete");
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const correspondingStat = (await getDoc(doc(db, "stats", fields.id))).data() as Stat;
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const solutions = correspondingStat.solutions.map((x) => ({...x, evaluation: backendRequest.data, solution: uploadingAudios}));
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await setDoc(
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doc(db, "stats", fields.id),
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{
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solutions,
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score: {
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correct: speakingReverseMarking[backendRequest.data.overall],
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missing: 0,
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total: 100,
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},
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},
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{merge: true},
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);
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console.log("🌱 - Updated the DB");
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});
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}
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async function evaluate(body: {answers: object[]}): Promise<AxiosResponse> {
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const backendRequest = await axios.post(`${process.env.BACKEND_URL}/speaking_task_3`, body, {
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headers: {
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Authorization: `Bearer ${process.env.BACKEND_JWT}`,
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},
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});
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if (typeof backendRequest.data === "string") return evaluate(body);
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return backendRequest;
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}
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export const config = {
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api: {
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bodyParser: false,
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},
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};
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