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.
18 lines
618 B
TypeScript
18 lines
618 B
TypeScript
"use client";
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import type { Activity, Difficulty, GeneratedActivity } from "./schemas";
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import { uid } from "./utils";
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import { xpForActivity } from "./xp";
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/** Turn freshly generated activities into stored ones (id + XP). */
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export function materialiseActivities(activities: GeneratedActivity[], difficulty: Difficulty): Activity[] {
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return activities.map((activity) => ({
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...activity,
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id: uid("act"),
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xp: xpForActivity(activity.type, difficulty),
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}));
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}
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export function activityTypes(activities: Activity[]): string[] {
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return Array.from(new Set(activities.map((activity) => activity.type)));
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}
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