Martin Dvorak
756a6257a2
Entry points (no sixth tab): Ask in the Library header (desktop button, phone icon), Ask about this deck in the deck menu, Ask a question on study/homework results (compact result travels as context), and a Chat row in the desktop sidebar. Phones get a full-screen route with back + New chat; the tab bar steps aside. - Client-side retrieval: chunk scoped decks (~800 tokens), BM25 against the question + recent turns, top chunks under ~7k tokens, each labelled with deck + section. Notes come from the deck's stored sourceText (already kept for Regenerate); decks without it fall back to generated content and the UI says so. - Stateless server: /api/chat validates against the CHAT_MODELS allowlist, trims the history to ~6k tokens, caps context at ~9k and streams token/thinking/done/error NDJSON. /api/chat/extract reduces attachments to text through the existing vision step. - UI: user bubbles + full-width assistant text, streaming with stop, auto-scroll that pauses with a jump-to-bottom button, safe markdown (React nodes, no HTML injection; KaTeX dynamically imported only when a message has math), Thinking row for reasoning, copy/regenerate/ edit-and-resend, model + context pickers (last model remembered), composer with visualViewport keyboard handling, safe-area, 16px textarea, Enter-to-send on desktop. - Usage-limit failures keep the draft and show the shared message with Settings/Ollama actions; stopping maps the reader abort to a clean stopped state; offline disables sending with a reason. - Settings: Keep notes text for chat toggle; deck menu: Delete notes text. RATE_LIMIT_CHAT + CHAT_MODELS in .env.example and README. - Tests: chat suite (63 checks, stub Ollama) wired into run-all. Full set: 12/12 suites, 487 checks. SW -> freezmo-v32. Also: tests/model-compare.mjs (diagnostic) benchmarks two models on the same notes (latency, repair rounds, activity types) so the gpt-oss vs gemma default can be decided on numbers; defaults unchanged.
32 lines
863 B
TypeScript
32 lines
863 B
TypeScript
"use client";
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import { useRouter } from "next/navigation";
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import { ChatIcon } from "@/components/icons";
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import { Button } from "@/components/ui";
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import { setChatSeed, type ChatSeed } from "@/lib/chat-seed";
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import { useI18n } from "@/lib/i18n";
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import { cn } from "@/lib/utils";
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/**
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* "Ask a question" entry point for results screens: hands the compact result
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* summary to the chat (sessionStorage, one-shot) and opens it.
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*/
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export function AskButton({ seed, className }: { seed: ChatSeed; className?: string }) {
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const { t } = useI18n();
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const router = useRouter();
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return (
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<Button
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variant="secondary"
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className={cn("touch-target", className)}
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onClick={() => {
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setChatSeed(seed);
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router.push("/chat");
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}}
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>
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<ChatIcon className="size-4" />
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{t("chat.askQuestion")}
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</Button>
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);
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}
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