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feat(coach): render AI prose as real paragraphs with clickable Learn links
Add a shared, pure ProseBlocks helper that splits trusted plain text on blank lines into <p> blocks and single newlines into <br>, with no markdown library and no dangerouslySetInnerHTML. A catalog-whitelisted linkifier turns grounded /learn/<slug> references into safe anchors via learn-more-link; unknown slugs stay plain text. Rewrite StreamedProse to be streaming-safe: completed paragraphs settle while only the growing tail animates word by word.
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@@ -0,0 +1,130 @@
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import { describe, it, expect } from "vitest";
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import { renderToStaticMarkup } from "react-dom/server";
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import { I18nProvider } from "@/lib/i18n/context";
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import {
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ProseBlocks,
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splitParagraphs,
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} from "@/components/insights/prose-blocks";
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import {
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StreamedProse,
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splitProseSegments,
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} from "@/components/insights/coach-panel/streamed-prose";
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function render(node: React.ReactNode) {
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return renderToStaticMarkup(
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<I18nProvider initialLocale="en">{node}</I18nProvider>,
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);
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}
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describe("splitParagraphs", () => {
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it("splits on blank lines and trims, dropping empties", () => {
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expect(splitParagraphs("one\n\ntwo")).toEqual(["one", "two"]);
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expect(splitParagraphs(" a \n\n\n b ")).toEqual(["a", "b"]);
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expect(splitParagraphs("solo")).toEqual(["solo"]);
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expect(splitParagraphs("\n\n \n\n")).toEqual([]);
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});
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it("keeps a single newline inside one paragraph", () => {
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expect(splitParagraphs("line1\nline2")).toEqual(["line1\nline2"]);
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});
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});
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describe("ProseBlocks", () => {
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it("renders blank-line-separated text as real <p> blocks", () => {
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const html = render(<ProseBlocks text={"First idea.\n\nSecond idea."} />);
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const paras = (html.match(/<p\b/g) ?? []).length;
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expect(paras).toBe(2);
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expect(html).toContain("First idea.");
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expect(html).toContain("Second idea.");
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});
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it("turns a single newline into a <br/>", () => {
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const html = render(<ProseBlocks text={"line a\nline b"} />);
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expect(html).toContain("<br/>");
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expect((html.match(/<p\b/g) ?? []).length).toBe(1);
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});
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it("strips stray chart tokens from the prose by default", () => {
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const html = render(
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<ProseBlocks text={"Your weight metric:WEIGHT held."} />,
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);
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expect(html).not.toContain("metric:WEIGHT");
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expect(html).toContain("Your weight");
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});
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it("linkifies a catalog-known /learn/<slug> reference as a safe anchor", () => {
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const html = render(
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<ProseBlocks
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text={"More on this: https://healthlog.dev/learn/resting-heart-rate"}
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/>,
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);
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expect(html).toContain('data-slot="inline-learn-link"');
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expect(html).toContain("/learn/resting-heart-rate");
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expect(html).toContain('target="_blank"');
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expect(html).toContain('rel="noopener noreferrer"');
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});
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it("leaves an unknown /learn slug as plain text (fail-closed)", () => {
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const html = render(
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<ProseBlocks text={"see https://healthlog.dev/learn/totally-made-up"} />,
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);
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expect(html).not.toContain('data-slot="inline-learn-link"');
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expect(html).toContain("/learn/totally-made-up");
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});
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it("does not strip or linkify when both are disabled (user text)", () => {
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const html = render(
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<ProseBlocks
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text={"keep metric:WEIGHT and /learn/resting-heart-rate verbatim"}
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strip={false}
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linkify={false}
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/>,
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);
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expect(html).toContain("metric:WEIGHT");
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expect(html).not.toContain('data-slot="inline-learn-link"');
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});
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});
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describe("StreamedProse", () => {
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it("settles to real paragraph blocks when not streaming", () => {
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const html = render(
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<StreamedProse
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content={"Where things stand.\n\nOne thing to try."}
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streaming={false}
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/>,
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);
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expect((html.match(/<p\b/g) ?? []).length).toBe(2);
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expect(html).toContain("Where things stand.");
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expect(html).toContain("One thing to try.");
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});
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it("animates only the growing tail paragraph while streaming", () => {
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const html = render(
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<StreamedProse
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content={"Settled paragraph.\n\nGrowing tail words"}
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streaming
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/>,
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);
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// The completed first paragraph settles as plain text (no spans).
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expect(html).toContain("Settled paragraph.");
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// The tail renders each word in its own fade-in span.
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for (const word of ["Growing ", "tail ", "words"]) {
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expect(html).toContain(`>${word}</span>`);
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}
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});
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it("does not leak a chart token into streamed prose", () => {
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const html = render(
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<StreamedProse content={"Trending up metric:WEIGHT"} streaming />,
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);
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expect(html).not.toContain("metric:WEIGHT");
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});
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});
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describe("splitProseSegments", () => {
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it("keeps each word with its trailing whitespace", () => {
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expect(splitProseSegments("a b c")).toEqual(["a ", "b ", "c"]);
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expect(splitProseSegments("")).toEqual([]);
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});
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});
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@@ -4,22 +4,37 @@ import { useMemo } from "react";
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import { cn } from "@/lib/utils";
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import { stripChartTokens } from "@/lib/insights/chart-tokens";
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import {
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ProseBlocks,
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ParagraphText,
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splitParagraphs,
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PROSE_PARAGRAPH_CLASS,
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} from "@/components/insights/prose-blocks";
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/**
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* v1.18.9 — Claude-style word-by-word fade-in for the LIVE Coach turn.
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*
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* The provider clients return the whole reply in one shot; the chat route
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* re-chunks it into per-word `token` SSE frames (`tokeniseForStreaming`),
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* so `content` grows as frames land. This component renders each
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* whitespace segment as its own `<span>` that fades + drifts up on mount,
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* giving the reply a "thinking out loud" cadence rather than a hard dump
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* of word groups. Once the turn settles (`streaming === false`) the spans
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* collapse to a single plain-text node — zero residual animation DOM, and
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* the feedback / evidence layout underneath stays stable.
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* so `content` grows as frames land. While the turn is streaming each
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* whitespace segment of the GROWING tail renders as its own `<span>` that
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* fades + drifts up on mount, giving the reply a "thinking out loud"
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* cadence rather than a hard dump of word groups.
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*
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* Why no "only animate the new words" bookkeeping: each segment is keyed
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* by its index, so when a fresh SSE frame appends words, React keeps the
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* already-mounted spans (their CSS entrance already ran and does not
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* v1.22 (W5) — paragraph-aware + SSE-safe. The reply now renders as real
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* `<p>` blocks (shared `ProseBlocks`), so a model that emits blank-line
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* paragraph breaks reads as paragraphs, not one run-on block — consistent
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* with the daily briefing + insight cards. Under streaming, every COMPLETE
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* paragraph settles immediately (plain text, with the safe Learn linkifier)
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* and only the LAST, still-growing paragraph animates word-by-word. When a
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* fresh `\n\n` arrives the tail becomes a completed paragraph and stops
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* animating; the already-settled paragraphs keep their index keys and never
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* replay. Once the whole turn settles (`streaming === false`) it collapses
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* to the same `ProseBlocks` render the persisted history uses.
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*
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* Why no "only animate the new words" bookkeeping: each tail segment is
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* keyed by its index, so when a fresh SSE frame appends words React keeps
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* the already-mounted spans (their CSS entrance already ran and does not
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* replay on reconcile) and only MOUNTS the new trailing spans — which is
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* exactly when the `animate-in` entrance fires. The browser does the
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* "new words only" gating for us; no render-time ref is needed.
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@@ -30,8 +45,8 @@ import { stripChartTokens } from "@/lib/insights/chart-tokens";
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* attributes are already permitted under the strict CSP
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* (`style-src 'self' 'unsafe-inline'`); there is no runtime-injected
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* `<style>` tag, no `dangerouslySetInnerHTML`, and no markdown library —
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* the text renders as plain React children, the XSS-safe path the rest of
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* the Coach uses.
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* the text renders as plain React children (with a closed-set Learn
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* linkifier), the XSS-safe path the rest of the Coach uses.
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*
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* `prefers-reduced-motion`: the animation classes are `motion-safe:`
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* gated, so reduced-motion users get the words instantly with no fade and
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@@ -42,7 +57,7 @@ export interface StreamedProseProps {
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content: string;
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/**
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* True while the turn is still streaming. When false the prose renders
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* settled as one plain-text node (persisted history + finished turns).
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* settled as real paragraph blocks (persisted history + finished turns).
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*/
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streaming: boolean;
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}
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@@ -57,40 +72,64 @@ export function splitProseSegments(text: string): string[] {
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}
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export function StreamedProse({ content, streaming }: StreamedProseProps) {
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const clean = stripChartTokens(content);
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const segments = useMemo(
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() => (streaming ? splitProseSegments(clean) : []),
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[streaming, clean],
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// Split paragraphs on the RAW text — `stripChartTokens` normalises
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// whitespace (collapsing the `\n\n` breaks), so it must run per line
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// inside the renderers, never on the whole string before the split.
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const paras = useMemo(
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() => (streaming ? splitParagraphs(content) : []),
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[streaming, content],
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);
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if (!streaming) {
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// Settled turn: one plain text node, no spans, no animation.
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return <>{clean}</>;
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// Settled turn: real <p> blocks + per-line token strip + the safe Learn
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// linkifier, the same render the persisted history uses.
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return <ProseBlocks text={content} />;
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}
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if (paras.length === 0) return null;
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const tail = paras[paras.length - 1];
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const settled = paras.slice(0, -1);
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// The growing tail animates word-by-word; strip its tokens here so a
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// mid-stream `metric:<TYPE>` leak never flashes into the prose.
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const tailSegments = splitProseSegments(stripChartTokens(tail));
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return (
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<>
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{segments.map((segment, index) => (
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// New trailing spans mount + animate; already-mounted spans keep
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// their stable index key and do not replay the entrance.
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<span
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key={index}
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className={cn(
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"motion-safe:animate-in motion-safe:fade-in-0",
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"motion-safe:slide-in-from-bottom-1",
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)}
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style={{
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animationDuration: "340ms",
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// A gentle, capped stagger keyed off the in-batch position so a
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// burst of words reads as a soft cascade rather than a single
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// flash, without lagging on a long frame.
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animationDelay: `${(index % 6) * 26}ms`,
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animationFillMode: "both",
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}}
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>
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{segment}
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</span>
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{/* Completed paragraphs settle immediately — plain text + linkifier,
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identical to the non-streaming render so nothing reflows when the
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turn finishes. */}
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{settled.map((p, i) => (
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<p key={i} className={cn(PROSE_PARAGRAPH_CLASS)}>
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<ParagraphText text={p} strip />
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</p>
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))}
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{/* The growing tail paragraph: word-by-word fade. No linkify here —
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a half-arrived URL must not flicker into a link mid-stream; it
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settles (and linkifies) once the turn finishes. */}
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<p key={settled.length} className={cn(PROSE_PARAGRAPH_CLASS)}>
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{tailSegments.map((segment, index) => (
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// New trailing spans mount + animate; already-mounted spans keep
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// their stable index key and do not replay the entrance.
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<span
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key={index}
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className={cn(
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"motion-safe:animate-in motion-safe:fade-in-0",
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"motion-safe:slide-in-from-bottom-1",
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)}
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style={{
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animationDuration: "340ms",
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// A gentle, capped stagger keyed off the in-batch position so a
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// burst of words reads as a soft cascade rather than a single
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// flash, without lagging on a long frame.
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animationDelay: `${(index % 6) * 26}ms`,
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animationFillMode: "both",
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}}
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>
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{segment}
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</span>
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))}
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</p>
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</>
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);
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}
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@@ -0,0 +1,175 @@
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"use client";
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import { Fragment, type ReactNode } from "react";
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import { cn } from "@/lib/utils";
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import { stripChartTokens } from "@/lib/insights/chart-tokens";
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import { learnUrl } from "@/lib/learn-links";
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import { InlineLearnLink } from "@/components/ui/learn-more-link";
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/**
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* v1.22 (W5) — shared paragraph renderer for every trusted-as-text AI
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* narrative surface (the Coach, the daily briefing, the per-metric /
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* score insight cards, the period narrative).
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*
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* The AI surfaces render their prose as plain React text children — there
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* is NO markdown library and NO `dangerouslySetInnerHTML` anywhere in the
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* tree (the project's XSS posture). Before this helper, three ad-hoc
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* approaches were in the tree (a single `<p>`, a `whitespace-pre-line`
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* `<p>`, and the Coach's word-span renderer), so a model that emitted real
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* paragraph breaks read as one run-on block.
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*
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* `ProseBlocks` settles that into ONE pure, XSS-safe splitter:
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* - split a TRUSTED plain string on blank lines into real `<p>` blocks;
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* - a single `\n` inside a paragraph becomes a `<br/>`;
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* - recognised `/learn/<slug>` references (catalog-whitelisted, already
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* post-filtered server-side) render as a real, safe `<a>` via
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* `InlineLearnLink` — a closed-set linkifier, never model HTML.
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*
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* Everything is `String.prototype.split` + React children — no parser, no
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* markdown dependency, no injected markup. The chart-token strip
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* (`stripChartTokens`) runs PER LINE (not on the whole string): it
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* normalises intra-line whitespace, so running it on the full text would
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* collapse the `\n\n` paragraph breaks before they can be split on. Splitting
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* paragraphs first, then stripping each line, keeps the structure intact
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* while still ensuring a stray `metric:<TYPE>` token never surfaces.
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*/
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/** Default paragraph styling shared by every prose surface + the Coach
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* streaming tail, so the streamed and settled renders line up exactly. */
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export const PROSE_PARAGRAPH_CLASS =
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"leading-relaxed [&:not(:first-child)]:mt-3";
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/**
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* Split a trusted-as-text string into real paragraphs on blank lines.
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* Whitespace-only fragments are dropped. Exported for the streaming
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* paragraph-aware renderer + unit tests.
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*/
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export function splitParagraphs(text: string): string[] {
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return text
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.split(/\n{2,}/)
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.map((s) => s.trim())
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.filter(Boolean);
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}
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/**
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* Catalog-whitelisted `/learn/<slug>` matcher. Mirrors the post-filter's
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* grammar (`learn-link-guard.ts`): the host is optional (relative or the
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* absolute `healthlog.dev/learn/<slug>` form), the slug is the lower-case
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* hyphenated path segment after `/learn/`. The capture is validated against
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* the published catalog (`learnUrl`) before an anchor renders — an unknown
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* slug stays plain text, so a drifted post-filter can never produce a
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* clickable invented link.
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*/
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const LEARN_URL_RE =
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/(?:https?:\/\/)?(?:[a-z0-9.-]*healthlog\.dev)?\/learn\/[a-z0-9-]+\/?/gi;
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/**
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* Turn a trusted single line of text into React children, rendering any
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* catalog-known `/learn/<slug>` reference as a safe `InlineLearnLink` and
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* leaving everything else as plain text nodes. An unknown slug (which the
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* server post-filter should already have stripped) falls through as plain
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* text — fail-closed, never a fabricated anchor.
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*/
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function linkifyLearnLinks(line: string): ReactNode {
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if (!line.includes("/learn/")) return line;
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const nodes: ReactNode[] = [];
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let lastIndex = 0;
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let key = 0;
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// `matchAll` over a global regex gives each match with its index so we
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// slice the surrounding text verbatim — no mutation of the source.
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for (const match of line.matchAll(LEARN_URL_RE)) {
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const matched = match[0];
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const start = match.index ?? 0;
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// The slug is the path segment after `/learn/`, minus a trailing slash.
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const slug = matched
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.slice(matched.indexOf("/learn/") + "/learn/".length)
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.replace(/\/$/, "")
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.toLowerCase();
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if (learnUrl(slug) == null) continue; // unknown slug → leave as plain text
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if (start > lastIndex) nodes.push(line.slice(lastIndex, start));
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nodes.push(
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<InlineLearnLink key={`learn-${key++}`} slug={slug}>
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{matched}
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</InlineLearnLink>,
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);
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lastIndex = start + matched.length;
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}
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if (nodes.length === 0) return line;
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if (lastIndex < line.length) nodes.push(line.slice(lastIndex));
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return <>{nodes}</>;
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}
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/**
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* Render one paragraph's inner text: each single `\n` becomes a `<br/>`, each
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* line is (optionally) chart-token-stripped, then run through the
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* catalog-whitelisted Learn linkifier. Stripping per LINE preserves the
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* `\n` breaks that a whole-string strip would collapse. Exported so the
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* Coach streaming renderer can settle completed paragraphs with the same
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* markup the non-streaming path produces.
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*/
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export function ParagraphText({
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text,
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strip = false,
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linkify = true,
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}: {
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text: string;
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strip?: boolean;
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linkify?: boolean;
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}) {
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const lines = text.split("\n");
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return (
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<>
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{lines.map((line, i) => {
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const cleaned = strip ? stripChartTokens(line) : line;
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||||
return (
|
||||
<Fragment key={i}>
|
||||
{i > 0 && <br />}
|
||||
{linkify ? linkifyLearnLinks(cleaned) : cleaned}
|
||||
</Fragment>
|
||||
);
|
||||
})}
|
||||
</>
|
||||
);
|
||||
}
|
||||
|
||||
export interface ProseBlocksProps {
|
||||
/** Trusted-as-text prose (model output already verified server-side). */
|
||||
text: string;
|
||||
/**
|
||||
* Strip stray `metric:<TYPE>` chart tokens first (defence-in-depth).
|
||||
* Defaults true for AI prose; pass false for already-cleaned input or
|
||||
* for plain user text where a literal `metric:` substring is meaningful.
|
||||
*/
|
||||
strip?: boolean;
|
||||
/** Linkify catalog-known `/learn/<slug>` references. Default true. */
|
||||
linkify?: boolean;
|
||||
/** Per-paragraph class override (defaults to `PROSE_PARAGRAPH_CLASS`). */
|
||||
paragraphClassName?: string;
|
||||
}
|
||||
|
||||
export function ProseBlocks({
|
||||
text,
|
||||
strip = true,
|
||||
linkify = true,
|
||||
paragraphClassName,
|
||||
}: ProseBlocksProps) {
|
||||
// Split on blank lines FIRST (raw text), then strip per line inside
|
||||
// `ParagraphText` — a whole-string strip would collapse the breaks.
|
||||
// Drop a paragraph that is empty once its tokens are stripped (a rare
|
||||
// token-only line), so no hollow `<p>` renders.
|
||||
const paras = splitParagraphs(text).filter(
|
||||
(p) => !strip || stripChartTokens(p).length > 0,
|
||||
);
|
||||
return (
|
||||
<>
|
||||
{paras.map((p, i) => (
|
||||
<p key={i} className={cn(paragraphClassName ?? PROSE_PARAGRAPH_CLASS)}>
|
||||
<ParagraphText text={p} strip={strip} linkify={linkify} />
|
||||
</p>
|
||||
))}
|
||||
</>
|
||||
);
|
||||
}
|
||||
@@ -1,8 +1,9 @@
|
||||
"use client";
|
||||
|
||||
import type { ReactNode } from "react";
|
||||
import { ExternalLink } from "lucide-react";
|
||||
|
||||
import { learnLinkForMetric } from "@/lib/learn-links";
|
||||
import { learnLinkForMetric, learnUrl } from "@/lib/learn-links";
|
||||
import { useTranslations } from "@/lib/i18n/context";
|
||||
import { cn } from "@/lib/utils";
|
||||
|
||||
@@ -55,3 +56,50 @@ export function LearnMoreLink({ concept, className }: LearnMoreLinkProps) {
|
||||
</a>
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* v1.22 (W5) — inline, catalog-whitelisted Learn anchor for AI prose.
|
||||
*
|
||||
* Where `LearnMoreLink` resolves a *concept* to its guide for a deterministic
|
||||
* UI surface, this variant linkifies a `/learn/<slug>` reference that already
|
||||
* appears in trusted prose (the Coach reply, post-filtered server-side by
|
||||
* `scrubUnknownLearnLinks`). The slug is resolved through `learnUrl` — the same
|
||||
* closed-set, registry-backed builder — so an unknown slug renders the children
|
||||
* as plain text (fail-closed): a drifted post-filter can never produce a
|
||||
* clickable invented href, and there is no markdown / HTML parsing involved.
|
||||
*
|
||||
* The visible label is the caller's `children` (the original URL text), keeping
|
||||
* the reference verbatim; the safe attributes (`target="_blank"`,
|
||||
* `rel="noopener noreferrer"`) mirror `LearnMoreLink`.
|
||||
*/
|
||||
export interface InlineLearnLinkProps {
|
||||
/** The `/learn/<slug>` path segment to resolve and link. */
|
||||
slug: string;
|
||||
/** Visible anchor text (typically the matched URL substring). */
|
||||
children: ReactNode;
|
||||
className?: string;
|
||||
}
|
||||
|
||||
export function InlineLearnLink({
|
||||
slug,
|
||||
children,
|
||||
className,
|
||||
}: InlineLearnLinkProps) {
|
||||
const url = learnUrl(slug);
|
||||
if (url == null) return <>{children}</>;
|
||||
|
||||
return (
|
||||
<a
|
||||
href={url}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
data-slot="inline-learn-link"
|
||||
className={cn(
|
||||
"text-primary underline decoration-from-font underline-offset-2 hover:no-underline",
|
||||
className,
|
||||
)}
|
||||
>
|
||||
{children}
|
||||
</a>
|
||||
);
|
||||
}
|
||||
Reference in new issue
Block a user