Martin Dvorak
3ea2cea100
Next.js 15 app that turns photos, PDFs, DOCX/PPTX and text into a swipeable feed of AI-generated activities (flashcards, multiple choice, true/false, fill-in-the-blank, matching, ordering, short answer) using the user's own Ollama models. Highlights: - All AI calls run in server route handlers; the browser never talks to Ollama. - Bring-your-own-key mode (default): the key lives only in the browser and is sent per-request; server, local-daemon and shared-key modes also supported. - Client-side document extraction (pdf.js, mammoth, jszip) with scanned-PDF page rendering for the vision model; notes stay in their original language. - ChatGPT-style shell: collapsible sidebar / mobile drawer, neutral token-based light + dark themes, folder organisation, PWA (manifest, SW, offline page). - Strict JSON validation with zod + auto-repair, rate limiting, and request guards (cross-origin, body-size, API-key sanitising). - setup.sh bootstraps deps, .env.local and a production build. Gitignore excludes .env*, the generated pdf.js worker and local scratch files.
59 lines
1.8 KiB
TypeScript
59 lines
1.8 KiB
TypeScript
export function cn(...parts: Array<string | false | null | undefined>): string {
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return parts.filter(Boolean).join(" ");
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}
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export function uid(prefix = "id"): string {
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const rand =
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typeof crypto !== "undefined" && "randomUUID" in crypto
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? crypto.randomUUID().slice(0, 8)
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: Math.random().toString(36).slice(2, 10);
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return `${prefix}_${Date.now().toString(36)}_${rand}`;
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}
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/** Deterministic-ish shuffle (Fisher-Yates). Returns a new array. */
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export function shuffle<T>(input: readonly T[]): T[] {
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const out = [...input];
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for (let i = out.length - 1; i > 0; i--) {
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const j = Math.floor(Math.random() * (i + 1));
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[out[i], out[j]] = [out[j], out[i]];
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}
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return out;
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}
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export function formatDate(timestamp: number): string {
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try {
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return new Intl.DateTimeFormat(undefined, {
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day: "numeric",
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month: "short",
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year: "numeric",
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}).format(new Date(timestamp));
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} catch {
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return "";
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}
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}
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/** Remove ```json fences and stray prose around a JSON object. */
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export function stripFences(text: string): string {
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let value = text.trim();
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const fence = value.match(/```(?:json)?\s*([\s\S]*?)```/i);
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if (fence) value = fence[1].trim();
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if (value.startsWith("{") || value.startsWith("[")) return value;
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const start = value.indexOf("{");
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const end = value.lastIndexOf("}");
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if (start !== -1 && end > start) return value.slice(start, end + 1);
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return value;
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}
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export function parseJsonLoose(text: string): unknown {
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const cleaned = stripFences(text);
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try {
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return JSON.parse(cleaned);
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} catch {
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// Last resort: tolerate trailing commas from chatty models.
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return JSON.parse(cleaned.replace(/,\s*([}\]])/g, "$1"));
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}
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}
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export function truncate(value: string, max: number): string {
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return value.length > max ? `${value.slice(0, max - 1)}…` : value;
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}
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