Check my work (third homework mode) - One model call with its own system prompt marks the student's own attempt: verdict, what's right, each issue with why + fix, and the corrected version that keeps everything the student got right. Unasked-for extras are never errors. The attempt is typed/pasted (photos of handwriting are documented as unsupported) and stored in the record so Redo re-checks the same work. - Server: mode "check" + solution on POST /api/homework (zod, 400 server.needSolution without one) and the same NDJSON stream; new checkHomework() pipeline with repair-once validation. Follow-ups - New POST /api/homework/refine (plain JSON, RATE_LIMIT_REFINE, zod, auth before body): shorter / more detail / explain, plain text back, language preserved. - Shorter + More detail + Original rewrite the finished answer and the corrected version in place (FollowUpBar); every guide step has Explain step N differently; failed calls say so without losing text. Turn into a study deck - Any result hands its content (answer, corrected version or assembled guide) to New deck through a one-shot sessionStorage seed with the options step pre-filled. UI - Phone step 2 gains the third card: tapping it reveals the solution field + submit; desktop has three cards and the solution field shows with the mode. Homework history labels and share/card previews cover the new mode. Verified: new phase-3 suite 20/20 against a stub Ollama (check payload, missing-solution 400, refine validation, phone + desktop check flows, shorter follow-up with restore, guide explain, deck hand-off) plus regression 74/74, mobile 52/52, declutter 116/116, wizard 80/80, animation 8/8, native 35/35, phase1 38/38, phase2 43/43, i18n 25/25. Key parity 734/734. Lint + build clean. SW freezmo-v27.
260 lines
9 KiB
TypeScript
260 lines
9 KiB
TypeScript
import { z } from "zod";
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import { buildHomeworkGuide, checkHomework, extractNotes, makeHomework, notesToText, type PipelineStage } from "@/lib/ai";
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import { authErrorMessage, authErrorKind, getServerConfig, resolveAuth, resolveModelName } from "@/lib/config";
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import { friendlyErrorMessage, OllamaError } from "@/lib/ollama";
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import { rejectCrossOrigin, rejectOversizedBody, requestLocale } from "@/lib/http-guard";
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import { clientKey, rateLimit, rateLimitResponse } from "@/lib/rate-limit";
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import { translate } from "@/lib/i18n-dict";
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import { homeworkModeSchema, type HomeworkStep } from "@/lib/schemas";
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import { uid } from "@/lib/utils";
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export const runtime = "nodejs";
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export const dynamic = "force-dynamic";
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export const maxDuration = 300;
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/** ~8 MB per image after client-side resizing; up to 16 images (photos + PDF pages). */
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const MAX_IMAGE_CHARS = 8_000_000;
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/** Generous but finite: ~16 compressed images plus JSON overhead. */
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const MAX_BODY_BYTES = 33554432;
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const requestSchema = z.object({
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mode: homeworkModeSchema,
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images: z.array(z.string().min(32).max(MAX_IMAGE_CHARS)).max(16).optional(),
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text: z.string().max(120_000).optional(),
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/** Mode "check": the student's own attempt at the assignment. */
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solution: z.string().max(120_000).optional(),
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/** Language of the assignment (usually detected by the vision step). */
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language: z.string().max(60).optional(),
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});
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type StreamEvent =
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| { type: "stage"; stage: PipelineStage; message: string }
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| { type: "homework"; homework: unknown; meta: Record<string, unknown> }
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| { type: "error"; error: string; kind?: string };
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function encoder() {
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const enc = new TextEncoder();
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return (event: StreamEvent) => enc.encode(`${JSON.stringify(event)}\n`);
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}
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/** Same pipeline shape as /api/generate: vision (photos only) then one model call. */
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export async function POST(request: Request) {
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const locale = requestLocale(request);
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const crossOrigin = rejectCrossOrigin(request);
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if (crossOrigin) return crossOrigin;
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const oversized = rejectOversizedBody(request, MAX_BODY_BYTES);
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if (oversized) return oversized;
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const config = getServerConfig();
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// Cheap requests are rejected before any work happens.
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const limit = rateLimit(`homework:${clientKey(request)}`, config.rateLimits.homework, config.rateLimits.windowMs);
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if (!limit.allowed) return rateLimitResponse(limit, locale);
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const auth = resolveAuth(config, request);
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if ("error" in auth) {
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return Response.json(
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{ error: authErrorMessage(locale, auth.error), kind: authErrorKind(auth.error) },
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{ status: 401 },
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);
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}
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let payload: unknown;
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try {
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payload = await request.json();
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} catch {
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return Response.json({ error: translate(locale, "server.bodyNotJson") }, { status: 400 });
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}
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const parsed = requestSchema.safeParse(payload);
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if (!parsed.success) {
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return Response.json(
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{
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error: translate(locale, "server.invalidRequest", {
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detail: parsed.error.issues
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.slice(0, 3)
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.map((issue) => `${issue.path.join(".") || "body"} ${issue.message}`)
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.join("; "),
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}),
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},
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{ status: 400 },
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);
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}
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const { mode, images, text, solution, language } = parsed.data;
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const imageList = (images ?? []).map(stripDataUrlPrefix).filter(Boolean);
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if (imageList.length === 0 && !text?.trim()) {
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return Response.json({ error: translate(locale, "server.needAssignment") }, { status: 400 });
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}
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if (mode === "check" && !solution?.trim()) {
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return Response.json({ error: translate(locale, "server.needSolution") }, { status: 400 });
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}
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const encode = encoder();
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const abort = new AbortController();
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// A single hard deadline for the whole pipeline (two sequential model calls).
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const globalTimer = setTimeout(() => abort.abort(), config.timeoutMs * 2);
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const stream = new ReadableStream<Uint8Array>({
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async start(controller) {
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const send = (event: StreamEvent) => {
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try {
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controller.enqueue(encode(event));
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} catch {
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/* client went away */
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}
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};
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try {
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let assignmentText: string;
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let detectedLanguage: string | undefined = language;
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let repaired = false;
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if (imageList.length > 0) {
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send({ type: "stage", stage: "vision", message: translate(locale, "homework.loading.reading") });
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const extraction = await extractNotes({
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model: config.visionModel,
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repairModel: config.textModel,
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auth: auth.auth,
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images: imageList,
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text,
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signal: abort.signal,
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onProgress: (message) => send({ type: "stage", stage: "vision", message }),
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});
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assignmentText = notesToText(extraction.notes);
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detectedLanguage = extraction.notes.language || language;
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repaired = extraction.repaired || extraction.languageRepaired;
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} else {
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assignmentText = text!.trim();
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}
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send({
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type: "stage",
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stage: "generation",
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message: translate(
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locale,
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mode === "make"
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? "homework.loading.writing"
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: mode === "check"
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? "homework.loading.checking"
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: "homework.loading.planning",
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),
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});
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const meta = {
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repaired,
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language: detectedLanguage || null,
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visionModel: imageList.length ? resolveModelName(config.visionModel, auth.auth.directCloud) : null,
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textModel: resolveModelName(config.textModel, auth.auth.directCloud),
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};
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if (mode === "check") {
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const result = await checkHomework({
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model: config.textModel,
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auth: auth.auth,
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assignment: assignmentText,
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solution: solution!.trim(),
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language: detectedLanguage,
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signal: abort.signal,
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});
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send({
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type: "homework",
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homework: {
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mode: "check",
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title: result.title,
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language: result.language || detectedLanguage,
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verdict: result.verdict,
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correct: result.correct,
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wrong: result.wrong,
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corrected: result.corrected,
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sourceText: assignmentText,
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},
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meta,
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});
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} else if (mode === "make") {
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const result = await makeHomework({
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model: config.textModel,
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auth: auth.auth,
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assignment: assignmentText,
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language: detectedLanguage,
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signal: abort.signal,
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});
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send({
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type: "homework",
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homework: {
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mode: "make",
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title: result.title,
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language: result.language || detectedLanguage,
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answer: result.answer,
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// The assignment as text (the vision transcription when photos
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// were used) so the client can store it for “Make it again”.
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sourceText: assignmentText,
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},
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meta,
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});
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} else {
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const guide = await buildHomeworkGuide({
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model: config.textModel,
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auth: auth.auth,
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assignment: assignmentText,
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language: detectedLanguage,
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signal: abort.signal,
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});
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const steps: HomeworkStep[] = guide.steps.map((step) => ({
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...step,
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// xp: 0 keeps the shared activity components from rendering their
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// "+XP" badge — the guide deliberately has no XP or streak.
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checkpoint: step.checkpoint ? { ...step.checkpoint, id: uid("act"), xp: 0 } : undefined,
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}));
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send({
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type: "homework",
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homework: {
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mode: "guide",
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title: guide.title,
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language: guide.language || detectedLanguage,
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steps,
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sourceText: assignmentText,
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},
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meta,
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});
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}
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} catch (error) {
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const message = friendlyErrorMessage(error, auth.auth.baseUrl, locale);
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// Never log the request body: it may contain the student's assignment.
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console.error("[api/homework]", error instanceof OllamaError ? `${error.kind}: ${error.message}` : error);
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send({
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type: "error",
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error: message,
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kind: error instanceof OllamaError ? error.kind : "unknown",
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});
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} finally {
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clearTimeout(globalTimer);
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try {
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controller.close();
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} catch {
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/* already closed */
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}
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}
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},
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cancel() {
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clearTimeout(globalTimer);
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abort.abort();
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},
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});
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return new Response(stream, {
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headers: {
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"Content-Type": "application/x-ndjson; charset=utf-8",
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"Cache-Control": "no-store, no-transform",
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Connection: "keep-alive",
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},
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});
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}
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function stripDataUrlPrefix(value: string): string {
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const commaIndex = value.indexOf(",");
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if (value.startsWith("data:") && commaIndex !== -1) return value.slice(commaIndex + 1);
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return value;
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}
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