feat(ai): 设置里加「AI 生成队列」,看得见后台在算什么

队列本来是完全不可见的:页面上一句「排队生成中」说不出自己是下一个、第二十
个,还是已经放弃了——网关挂掉的时候,「还在生成」和「永远不会好」长得一模
一样。今天排查就是这么排的。

- GET /analysis/insight/queue 返回队列(running 在前,其次按优先级和年龄,
  和 worker 实际取任务的顺序一致)、已生成的解读、scope 名到中文标签的映射
  (前端不必再抄一份),以及消费者的限流配置
- POST /analysis/insight/queue/retry:手动把「已放弃」的重新排队,不等冷却。
  自动重试要等冷却是为了不去捶一个正在抽风的上游;人按下重试是他自己判断值得
  再试一次
- 页面在 设置 → AI 生成队列。插队的任务标「插队」——这是整个界面最想让人看见
  的一件事:为什么是它排在最前面
- 「已生成」单独列:队列空了意味着「没有待办」,不是「什么都没生成过」,
  没有这一节这两件事在界面上没法区分

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
ericwyuan
2026-09-01 16:02:05 +08:00
parent a2d6a5c57f
commit 05f55e695b
9 changed files with 551 additions and 6 deletions

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@@ -0,0 +1,153 @@
/* AI 生成队列 —— 设置里的一个只读视图,看后台在算什么。 */
.aq-note {
background: var(--surface-1);
border: 1px solid var(--border);
border-radius: 14px;
padding: 0.8rem 0.9rem;
margin-bottom: 1.25rem;
}
.aq-note p {
margin: 0;
font-size: 0.82rem;
line-height: 1.6;
color: var(--text-secondary);
}
.aq-limits {
margin-top: 0.5rem !important;
padding-top: 0.5rem;
border-top: 1px solid var(--grid);
font-size: 0.76rem !important;
color: var(--text-muted) !important;
}
.aq-off {
background: var(--accent-soft);
border-radius: 10px;
padding: 0.6rem 0.7rem;
margin-bottom: 1rem;
font-size: 0.82rem;
color: var(--text-secondary);
}
.aq-head {
display: flex;
align-items: center;
justify-content: space-between;
gap: 0.5rem;
}
.aq-head .sec-title { margin: 0; }
.aq-retry {
background: none;
border: none;
padding: 0;
font-size: 0.78rem;
font-weight: 600;
color: var(--accent);
cursor: pointer;
}
.aq-retry:disabled { color: var(--text-muted); cursor: default; }
.aq-list {
list-style: none;
margin: 0.4rem 0 0;
padding: 0;
background: var(--surface-1);
border: 1px solid var(--border);
border-radius: 14px;
overflow: hidden;
}
.aq-row {
padding: 0.6rem 0.85rem;
border-bottom: 1px solid var(--grid);
}
.aq-row:last-child { border-bottom: none; }
.aq-main {
display: flex;
align-items: center;
gap: 0.4rem;
}
.aq-name {
flex: 1;
font-size: 0.86rem;
font-weight: 600;
color: var(--text-primary);
}
/* The one thing this screen exists to make visible: why this row is first. */
.aq-jump {
font-size: 0.62rem;
font-weight: 700;
padding: 0.1rem 0.35rem;
border-radius: 5px;
color: var(--accent);
background: var(--accent-soft);
}
.aq-status {
font-size: 0.72rem;
font-weight: 600;
color: var(--text-muted);
display: inline-flex;
align-items: center;
gap: 0.28rem;
white-space: nowrap;
}
.aq-status-running { color: var(--accent); }
.aq-status-failed { color: var(--status-critical); }
.aq-status-done { color: var(--status-good); }
.aq-dot {
width: 0.42rem;
height: 0.42rem;
border-radius: 50%;
background: var(--accent);
animation: aq-pulse 1.1s ease-in-out infinite;
}
@keyframes aq-pulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.25; }
}
.aq-meta {
display: flex;
gap: 0.6rem;
margin-top: 0.15rem;
font-size: 0.7rem;
color: var(--text-muted);
}
/* The subject can be long (a metric window, an activity id); it truncates so
one odd row cannot widen the list past the screen. */
.aq-subject {
flex: 1;
min-width: 0;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
font-variant-numeric: tabular-nums;
}
.aq-err {
margin: 0.3rem 0 0;
font-size: 0.7rem;
line-height: 1.45;
color: var(--status-critical);
word-break: break-word;
}
.aq-hint {
margin: 0.45rem 0 0;
font-size: 0.72rem;
color: var(--text-muted);
}

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@@ -0,0 +1,199 @@
import { useCallback, useEffect, useRef, useState } from 'react';
import { apiClient, AiJob, AiQueue, errorMessage, parseUtc } from '../services/api';
import Screen from '../components/Screen';
import Skeleton from '../components/Skeleton';
import './AiQueue.css';
/* Fast enough that a job starting or finishing shows up while you are looking
at the screen — this is the one place whose whole purpose is watching the
queue move. Stopped on unmount so it does not poll from a background tab. */
const POLL_MS = 5000;
const STATUS_LABEL: Record<string, string> = {
running: '生成中',
pending: '排队中',
failed: '已放弃',
done: '已完成',
};
function relative(value: string | null): string {
const at = parseUtc(value);
if (!at) return '';
const seconds = Math.round((Date.now() - at.getTime()) / 1000);
if (seconds < 60) return `${Math.max(seconds, 0)} 秒前`;
if (seconds < 3600) return `${Math.round(seconds / 60)} 分钟前`;
if (seconds < 86400) return `${Math.round(seconds / 3600)} 小时前`;
return `${Math.round(seconds / 86400)} 天前`;
}
function JobRow({ job, label }: { job: AiJob; label: string }) {
return (
<li className={`aq-row aq-${job.status}`}>
<div className="aq-main">
<span className="aq-name">{label}</span>
{job.interactive && job.status !== 'done' && (
<span className="aq-jump" title="因为你打开了这个页面而插到队首"></span>
)}
<span className={`aq-status aq-status-${job.status}`}>
{job.status === 'running' && <span className="aq-dot" aria-hidden="true" />}
{STATUS_LABEL[job.status] ?? job.status}
</span>
</div>
<div className="aq-meta">
<span className="aq-subject">{job.subject}</span>
{job.attempts > 0 && (
<span> {job.attempts}/{job.maxAttempts} </span>
)}
<span>{relative(job.updatedAt)}</span>
</div>
{job.error && <p className="aq-err">{job.error}</p>}
</li>
);
}
/**
* What the AI coach is working on.
*
* Exists because the queue is otherwise invisible: a screen showing 排队生成中
* cannot say whether it is next, twentieth, or given up on — and when the
* gateway is down, "still generating" and "never going to" look identical.
*/
function AiQueuePage() {
const [data, setData] = useState<AiQueue | null>(null);
const [error, setError] = useState('');
const [loading, setLoading] = useState(true);
const [retrying, setRetrying] = useState(false);
const timer = useRef<number>();
const live = useRef(true);
const load = useCallback(async () => {
try {
const next = await apiClient.getInsightQueue();
if (!live.current) return;
setData(next);
setError('');
} catch (err: any) {
if (live.current) setError(errorMessage(err, '读取队列失败'));
} finally {
if (live.current) setLoading(false);
}
}, []);
useEffect(() => {
live.current = true;
const tick = async () => {
await load();
if (live.current) timer.current = window.setTimeout(tick, POLL_MS);
};
tick();
return () => { live.current = false; window.clearTimeout(timer.current); };
}, [load]);
const retry = async () => {
setRetrying(true);
try {
await apiClient.retryInsightQueue();
await load();
} catch (err: any) {
setError(errorMessage(err, '重试失败'));
} finally {
setRetrying(false);
}
};
if (loading && !data) {
return <Screen title="AI 生成队列" backLink><Skeleton count={4} /></Screen>;
}
const jobs = data?.jobs ?? [];
const label = (kind: string) => data?.scopes[kind] ?? (kind === 'briefing' ? '今日晨报' : kind);
const active = jobs.filter((j) => j.status === 'running' || j.status === 'pending');
const failed = jobs.filter((j) => j.status === 'failed');
const settings = data?.settings;
return (
<Screen title="AI 生成队列" backLink subtitle={`${active.length} 项待生成`}>
{error && <div className="screen-error">{error}</div>}
{settings && !settings.enabled && (
<div className="aq-off">AI_JOBS=false</div>
)}
<section className="aq-note">
<p>
40
<strong></strong>
</p>
{settings && (
<p className="aq-limits">
{settings.concurrency} {settings.gapSeconds}
</p>
)}
</section>
{!!active.length && (
<section className="sec">
<h3 className="sec-title"></h3>
<ul className="aq-list">
{active.map((j) => (
<JobRow key={j.kind + j.subject} job={j} label={label(j.kind)} />
))}
</ul>
</section>
)}
{!!failed.length && (
<section className="sec">
<div className="aq-head">
<h3 className="sec-title"></h3>
<button className="aq-retry" onClick={retry} disabled={retrying}>
{retrying ? '重新排队中…' : '全部重试'}
</button>
</div>
<ul className="aq-list">
{failed.map((j) => (
<JobRow key={j.kind + j.subject} job={j} label={label(j.kind)} />
))}
</ul>
{settings && (
<p className="aq-hint">
{Math.round(settings.retryAfterSeconds / 60)}
</p>
)}
</section>
)}
{!active.length && !failed.length && (
<p className="screen-note"></p>
)}
<section className="sec">
<h3 className="sec-title">{data?.insights.length ?? 0}</h3>
{data?.insights.length ? (
<ul className="aq-list">
{data.insights.map((i) => (
<li className="aq-row aq-done" key={i.kind + i.subject}>
<div className="aq-main">
<span className="aq-name">{label(i.kind)}</span>
<span className="aq-status aq-status-done">
{i.upstream ?? i.model ?? 'AI'}
</span>
</div>
<div className="aq-meta">
<span className="aq-subject">{i.subject}</span>
<span>{relative(i.generatedAt)}</span>
</div>
</li>
))}
</ul>
) : (
<p className="screen-note"></p>
)}
</section>
</Screen>
);
}
export default AiQueuePage;

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@@ -262,6 +262,13 @@ function SettingsPage() {
<span className="set-label"></span>
<span className="set-chevron" aria-hidden="true"></span>
</Link>
{FEATURES.ai && (
<Link href="/ai-queue/" className="set-row">
<span className="set-label">AI </span>
<span className="set-chevron" aria-hidden="true"></span>
</Link>
)}
</div>
</section>

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@@ -16,6 +16,7 @@ import ExercisePage from './pages/ExercisePage';
import SleepPage from './pages/SleepPage';
import SyncPage from './pages/SyncPage';
import SettingsPage from './pages/SettingsPage';
import AiQueuePage from './pages/AiQueuePage';
import LoginPage from './pages/LoginPage';
import NotFoundPage from './pages/NotFoundPage';
@@ -44,6 +45,7 @@ const SCREENS: Router.RouteParameters[] = [
{ path: '/devices/', component: DevicesPage },
{ path: '/sync/', component: SyncPage },
{ path: '/settings/', component: SettingsPage },
{ path: '/ai-queue/', component: AiQueuePage },
{ path: '/login/', component: LoginPage },
// auth-hub OAuth 回调落地页LoginPage 的 useEffect 会读取 URL 中的 code
// 并调用 /api/auth/callback 交换 token
@@ -84,7 +86,7 @@ const TAB_OWNERS: Array<[RegExp, string]> = [
[/^\/metric\//, 'trends'],
[/^\/(exercise|race|challenges)\/?$/, 'exercise'],
[/^\/activity\//, 'exercise'],
[/^\/(settings|sync|devices|rating-basis)\/?$/, 'settings'],
[/^\/(settings|sync|devices|rating-basis|ai-queue)\/?$/, 'settings'],
];
/** The tab a cold URL should open in, or null for the root and unknown paths. */

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@@ -448,6 +448,38 @@ export type InsightScope =
| 'health' | 'sleep' | 'exercise' | 'trends' | 'daily'
| 'body' | 'race' | 'bodyAge' | 'challenges' | 'activity';
/** One entry in the coach's work queue. */
export interface AiJob {
kind: string;
subject: string;
status: 'pending' | 'running' | 'failed' | 'done';
priority: number;
/** Queued because a screen is open, rather than as post-sync backfill. */
interactive: boolean;
attempts: number;
maxAttempts: number;
error: string | null;
updatedAt: string | null;
}
export interface AiQueue {
pending: number;
jobs: AiJob[];
insights: Array<{
kind: string; subject: string; model: string | null;
upstream: string | null; generatedAt: string | null;
}>;
/** Scope name -> its Chinese label, so the UI need not duplicate the list. */
scopes: Record<string, string>;
settings: {
enabled: boolean;
concurrency: number;
gapSeconds: number;
maxAttempts: number;
retryAfterSeconds: number;
};
}
export interface CopilotTurn {
role: 'user' | 'assistant';
content: string;
@@ -818,10 +850,16 @@ class ApiClient {
return data;
}
/** How much the coach still has to generate — for a progress hint. */
/** The coach's queue: running, waiting, given up, and already generated. */
async getInsightQueue() {
const { data } = await this.client.get<{ pending: number; enabled: boolean }>(
'/analysis/insight/queue'
const { data } = await this.client.get<AiQueue>('/analysis/insight/queue');
return data;
}
/** Re-queue everything that gave up, without waiting out the cooldown. */
async retryInsightQueue() {
const { data } = await this.client.post<{ pending: number }>(
'/analysis/insight/queue/retry'
);
return data;
}