nanobot/webui/src/components/MessageBubble.tsx

288 lines
8.6 KiB
TypeScript

import { useState } from "react";
import { ChevronRight, ImageIcon, Wrench } from "lucide-react";
import { useTranslation } from "react-i18next";
import { ImageLightbox } from "@/components/ImageLightbox";
import { MarkdownText } from "@/components/MarkdownText";
import { cn } from "@/lib/utils";
import type { UIImage, UIMessage } from "@/lib/types";
interface MessageBubbleProps {
message: UIMessage;
}
/**
* Render a single message. Following agent-chat-ui: user turns are a rounded
* "pill" right-aligned with a muted fill; assistant turns render as bare
* markdown so prose/code read like a document rather than a chat bubble.
* Each turn fades+slides in for a touch of motion polish.
*
* Trace rows (tool-call hints, progress breadcrumbs) render as a subdued
* collapsible group so intermediate steps never masquerade as replies.
*/
export function MessageBubble({ message }: MessageBubbleProps) {
const baseAnim = "animate-in fade-in-0 slide-in-from-bottom-1 duration-300";
if (message.kind === "trace") {
return <TraceGroup message={message} animClass={baseAnim} />;
}
if (message.role === "user") {
const images = message.images ?? [];
const hasImages = images.length > 0;
const hasText = message.content.trim().length > 0;
return (
<div
className={cn(
"group ml-auto flex max-w-[min(85%,36rem)] flex-col items-end gap-1.5",
baseAnim,
)}
>
{hasImages ? <UserImages images={images} /> : null}
{hasText ? (
<p
className={cn(
"ml-auto w-fit rounded-[18px] border border-border/60 bg-secondary/70 px-4 py-2",
"text-right text-[18px]/[1.8] whitespace-pre-wrap break-words",
"shadow-[0_10px_24px_-18px_rgba(0,0,0,0.55)]",
)}
>
{message.content}
</p>
) : null}
</div>
);
}
const empty = message.content.trim().length === 0;
return (
<div className={cn("w-full text-sm", baseAnim)} style={{ lineHeight: "var(--cjk-line-height)" }}>
{empty && message.isStreaming ? (
<TypingDots />
) : (
<>
<MarkdownText>{message.content}</MarkdownText>
{message.isStreaming && <StreamCursor />}
</>
)}
</div>
);
}
/**
* Right-aligned preview row for images attached to a user turn.
*
* Visual follows agent-chat-ui: a single wrapping row of fixed-size square
* thumbnails that stay modest next to the text pill regardless of how many
* images are attached.
*
* The URL is expected to be a self-contained ``data:`` URL (the Composer
* hands the normalized base64 payload to the optimistic bubble so that the
* preview survives React StrictMode double-mount — blob URLs would be
* revoked by the Composer's cleanup before remount). Historical replays
* have no URL (the backend strips data URLs before persisting), so we
* render a labelled placeholder tile instead of a broken ``<img>``.
*/
function UserImages({ images }: { images: UIImage[] }) {
const { t } = useTranslation();
// Only real-URL images can open in the lightbox; historical-replay
// placeholders (no URL) have nothing to zoom into.
const viewable = images
.map((img, i) => ({ img, i }))
.filter(({ img }) => typeof img.url === "string" && img.url.length > 0);
const viewableImages = viewable.map(({ img }) => img);
const originalToViewable = new Map<number, number>(
viewable.map(({ i }, v) => [i, v]),
);
const [lightboxIndex, setLightboxIndex] = useState<number | null>(null);
return (
<>
<div className="ml-auto flex flex-wrap items-end justify-end gap-2">
{images.map((img, i) => (
<UserImageCell
key={`${img.url ?? "placeholder"}-${i}`}
image={img}
placeholderLabel={t("message.imageAttachment")}
openLabel={t("lightbox.open")}
onOpen={
originalToViewable.has(i)
? () => setLightboxIndex(originalToViewable.get(i)!)
: undefined
}
/>
))}
</div>
<ImageLightbox
images={viewableImages}
index={lightboxIndex}
onIndexChange={setLightboxIndex}
onOpenChange={(open) => {
if (!open) setLightboxIndex(null);
}}
/>
</>
);
}
function UserImageCell({
image,
placeholderLabel,
openLabel,
onOpen,
}: {
image: UIImage;
placeholderLabel: string;
openLabel: string;
onOpen?: () => void;
}) {
const hasUrl = typeof image.url === "string" && image.url.length > 0;
const tileClasses = cn(
"relative h-24 w-24 overflow-hidden rounded-[14px] border border-border/60 bg-muted/40",
"shadow-[0_6px_18px_-14px_rgba(0,0,0,0.45)]",
);
if (hasUrl && onOpen) {
return (
<button
type="button"
onClick={onOpen}
aria-label={image.name ? `${openLabel}: ${image.name}` : openLabel}
title={image.name ?? undefined}
className={cn(
tileClasses,
"cursor-zoom-in transition-transform duration-150 motion-reduce:transition-none",
"hover:scale-[1.02] hover:ring-2 hover:ring-primary/30",
"focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-primary/50",
)}
>
<img
src={image.url}
alt={image.name ?? ""}
loading="lazy"
decoding="async"
draggable={false}
className="h-full w-full object-cover"
/>
</button>
);
}
return (
<div className={tileClasses} title={image.name ?? undefined}>
<div
className="flex h-full w-full flex-col items-center justify-center gap-1 px-2 text-[11px] text-muted-foreground"
aria-label={placeholderLabel}
>
<ImageIcon className="h-4 w-4 flex-none" aria-hidden />
<span className="line-clamp-2 text-center leading-tight">
{image.name ?? placeholderLabel}
</span>
</div>
</div>
);
}
/** Blinking cursor appended at the end of streaming text. */
function StreamCursor() {
const { t } = useTranslation();
return (
<span
aria-label={t("message.streaming")}
className={cn(
"ml-0.5 inline-block h-[1em] w-[3px] translate-y-[2px] align-middle",
"rounded-sm bg-foreground/70 animate-pulse",
)}
/>
);
}
/** Pre-token-arrival placeholder: three bouncing dots. */
function TypingDots() {
const { t } = useTranslation();
return (
<span
aria-label={t("message.assistantTyping")}
className="inline-flex items-center gap-1 py-1"
>
<Dot delay="0ms" />
<Dot delay="150ms" />
<Dot delay="300ms" />
</span>
);
}
function Dot({ delay }: { delay: string }) {
return (
<span
style={{ animationDelay: delay }}
className={cn(
"inline-block h-1.5 w-1.5 rounded-full bg-muted-foreground/60",
"animate-bounce",
)}
/>
);
}
interface TraceGroupProps {
message: UIMessage;
animClass: string;
}
/**
* Collapsible group of tool-call / progress breadcrumbs. Defaults to
* expanded for discoverability; a single click on the header folds the
* group down to a one-line summary so it never dominates the thread.
*/
function TraceGroup({ message, animClass }: TraceGroupProps) {
const { t } = useTranslation();
const lines = message.traces ?? [message.content];
const count = lines.length;
const [open, setOpen] = useState(true);
return (
<div className={cn("w-full", animClass)}>
<button
type="button"
onClick={() => setOpen((v) => !v)}
className={cn(
"group flex w-full items-center gap-2 rounded-md px-2 py-1.5",
"text-xs text-muted-foreground transition-colors hover:bg-muted/45",
)}
aria-expanded={open}
>
<Wrench className="h-3.5 w-3.5" aria-hidden />
<span className="font-medium">
{count === 1
? t("message.toolSingle")
: t("message.toolMany", { count })}
</span>
<ChevronRight
aria-hidden
className={cn(
"ml-auto h-3.5 w-3.5 transition-transform duration-200",
open && "rotate-90",
)}
/>
</button>
{open && (
<ul
className={cn(
"mt-1 space-y-0.5 border-l border-muted-foreground/20 pl-3",
"animate-in fade-in-0 slide-in-from-top-1 duration-200",
)}
>
{lines.map((line, i) => (
<li
key={i}
className="whitespace-pre-wrap break-words font-mono text-[11.5px] leading-relaxed text-muted-foreground/90"
>
{line}
</li>
))}
</ul>
)}
</div>
);
}