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Lotus CIandClaude Opus 5.5 6f7a8f64e2 fix(settings): valid HTML in setting tiles; start uploads in an effect (#291)
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SettingTile rendered its description in a <p>, and many tiles pass
blocks (badges, Box, Text), so Settings had <div>/<p> inside <p> and
React warned on every page. Render it as a <div>. UploadCardRenderer
called startUpload() during render, which now updates the desktop
taskbar-progress hook mid-render; start it from an effect instead.

Refs #291

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017PCb59uY3UKqDqt7B6hzd5
2026-10-17 23:51:19 -04:00
7 changed files with 37 additions and 90 deletions
-2
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@@ -86,7 +86,6 @@ import { CallAvatarAnimation } from '../styles/Animations.css';
import { webRTCSupported } from '../utils/rtc';
import { CallsUnavailableMessage } from '../features/call/CallsUnavailable';
import { zIndices } from '../styles/zIndex';
import { useDenoiseNotices } from '../hooks/useDenoiseNotices';
const PIP_MIN_W = 200;
const PIP_MIN_H = 112;
@@ -794,7 +793,6 @@ function CallUtils({ embed, joined }: { embed: CallEmbed; joined: boolean }) {
useCallPolicyRevokedToast(embed, joined);
useCallEndedToast(embed);
useScreenshareNotices(embed);
useDenoiseNotices(embed);
// [Gitea #43] The in-frame screenshare button follows the same room policy
// as the host bar's (hidden where the server would refuse the share).
const { allowScreenshare } = useRoomCallPolicy(embed.room);
@@ -43,7 +43,9 @@ export function SettingTile({ title, description, before, after, children }: Set
</Text>
)}
{description && (
<Text className={BreakWord} size="T200" priority="300">
// [Gitea #291] A <div>, not a <p>: many tiles pass blocks (badges,
// <Box>, <Text>) as the description, which is invalid inside a <p>.
<Text as="div" className={BreakWord} size="T200" priority="300">
{description}
</Text>
)}
@@ -310,9 +310,13 @@ export function UploadCardRenderer({
const { file } = upload;
const fileSizeExceeded = file.size >= allowSize;
if (upload.status === UploadStatus.Idle && !fileSizeExceeded) {
startUpload();
}
// [Gitea #291] Start in an effect, not during render: the desktop taskbar
// progress hook subscribes to the upload atoms, so a render-time start
// updated another component mid-render (React warning on every image send).
const idle = upload.status === UploadStatus.Idle;
useEffect(() => {
if (idle && !fileSizeExceeded) startUpload();
}, [idle, fileSizeExceeded, startUpload]);
const handleSpoiler = (marked: boolean) => {
setMetadata(fileItem, { ...metadata, markedAsSpoiler: marked });
-38
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@@ -1,38 +0,0 @@
import { useEffect, useRef } from 'react';
import { useSetAtom } from 'jotai';
import { Icons } from 'folds';
import { CallEmbed } from '../plugins/call';
import { toastQueueAtom } from '../state/toast';
import { useSetting } from '../state/hooks/settings';
import { settingsAtom } from '../state/settings';
import { denoiseNotice, DenoiseStateReport } from '../utils/denoiseNotice';
/**
* [Gitea #260] Tell the user when ML noise suppression didn't attach (raw mic)
* or fell back to another model. The fork's `io.lotus.denoise_state` used to
* go unanswered ("unsupported action"), so failures were silent.
*/
export function useDenoiseNotices(embed: CallEmbed): void {
const setToast = useSetAtom(toastQueueAtom);
const [mode] = useSetting(settingsAtom, 'callNoiseSuppression');
const [model] = useSetting(settingsAtom, 'callDenoiseModel');
const latest = useRef({ mode, model });
latest.current = { mode, model };
useEffect(
() =>
embed.listenAction<{ data?: DenoiseStateReport }>('io.lotus.denoise_state', (evt) => {
if (latest.current.mode !== 'ml') return;
const body = denoiseNotice(latest.current.model, evt.detail?.data);
if (!body) return;
setToast({
id: `denoise-state-${Date.now()}`,
iconSrc: Icons.Mic,
displayName: 'Noise suppression',
body,
roomName: embed.room.name ?? 'Voice call',
roomId: embed.roomId,
});
}),
[embed, setToast],
);
}
@@ -1060,6 +1060,32 @@ function TauriUpdateFeature() {
return null;
}
function LotusDenoiseFeature() {
const setToast = useSetAtom(toastQueueAtom);
useEffect(() => {
const handleMessage = (event: MessageEvent) => {
if (event.data?.type === 'lotus-denoise-status') {
const { active, error } = event.data;
if (!active) {
setToast({
id: `denoise-fail-${Date.now()}`,
displayName: 'Audio Quality',
body: `ML Noise Suppression failed: ${error || 'Unknown error'}. Falling back to raw mic.`,
roomName: 'System',
roomId: '',
});
}
}
};
window.addEventListener('message', handleMessage);
return () => window.removeEventListener('message', handleMessage);
}, [setToast]);
return null;
}
// Registers the global `?` shortcut (ignored while typing) and renders the
// keyboard-shortcuts help dialog. Headless — the dialog self-gates on its atom.
function KeyboardShortcutsFeature() {
@@ -1141,6 +1167,7 @@ export function ClientNonUIFeatures({ children }: ClientNonUIFeaturesProps) {
<CloseBehaviorPrompt />
<ConsentRequiredPrompt />
<OutboxFeature />
<LotusDenoiseFeature />
<DeepLinkNavigator />
<KeyboardShortcutsFeature />
{children}
-17
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@@ -1,17 +0,0 @@
import { test } from 'node:test';
import assert from 'node:assert/strict';
import { denoiseNotice } from './denoiseNotice';
test('denoiseNotice: says when ML is off or fell back (#260)', () => {
assert.equal(denoiseNotice('deepfilternet', { active: true, model: 'deepfilternet' }), undefined);
assert.match(
denoiseNotice('deepfilternet', { active: true, model: 'rnnoise' }) ?? '',
/^DeepFilterNet 3 couldn't start, so noise suppression is using RNNoise instead\.$/,
);
assert.match(
denoiseNotice('rnnoise', { active: false, error: 'boom' }) ?? '',
/unfiltered audio/,
);
assert.equal(denoiseNotice('rnnoise', undefined), undefined);
assert.equal(denoiseNotice('rnnoise', { model: 'x' }), undefined);
});
-29
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@@ -1,29 +0,0 @@
/**
* [Gitea #260] The fork reports what noise suppression actually runs as
* `io.lotus.denoise_state { active, model, error? }`. Pure: the toast text for
* a report, or undefined when what runs is what the user picked.
*/
export type DenoiseStateReport = { active?: unknown; model?: unknown; error?: unknown };
const MODEL_NAMES: Record<string, string> = {
rnnoise: 'RNNoise',
speex: 'Speex',
dtln: 'DTLN',
deepfilternet: 'DeepFilterNet 3',
};
const modelName = (m: unknown): string =>
typeof m === 'string' ? (MODEL_NAMES[m] ?? m) : 'the selected model';
export function denoiseNotice(
requestedModel: string,
report: DenoiseStateReport | undefined,
): string | undefined {
if (!report || typeof report.active !== 'boolean') return undefined;
if (!report.active) {
return `ML noise suppression couldn't start, so your microphone is sending unfiltered audio. You can pick another model in Settings → Calls.`;
}
if (typeof report.model === 'string' && report.model !== requestedModel) {
return `${modelName(requestedModel)} couldn't start, so noise suppression is using ${modelName(report.model)} instead.`;
}
return undefined;
}