fix: make AI stock analysis lazy-load instead of blocking page render

The AI analysis card now fetches asynchronously on the client side after
the page mounts, instead of blocking the entire server-rendered page until
the LLM returns. A loading skeleton with animate-pulse is shown while the
analysis is being generated.

- Convert StockAIAnalysisCard to client component with useEffect fetch
- Page now only awaits fast sentiment insights server-side
- Add getAIAnalysis server action for client-side AI analysis requests
- Show loading skeleton and error states in the AI analysis card

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
root 2026-06-02 14:48:51 +00:00
parent 0ec58caa62
commit c3f5aba330
4 changed files with 154 additions and 17 deletions

View File

@ -14,7 +14,7 @@ import {
import { auth } from '@/lib/better-auth/auth';
import { headers } from 'next/headers';
import { isStockInWatchlist } from '@/lib/actions/watchlist.actions';
import { getStockDetailInsights } from '@/lib/actions/stock-analysis.actions';
import { getStockSentimentInsights } from '@/lib/actions/adanos.actions';
import { formatSymbolForTradingView } from '@/lib/utils';
export default async function StockDetails({ params }: StockDetailsPageProps) {
@ -26,11 +26,10 @@ export default async function StockDetails({ params }: StockDetailsPageProps) {
headers: await headers()
});
const userId = session?.user?.id;
const [isInWatchlist, stockInsights] = await Promise.all([
const [isInWatchlist, sentimentInsights] = await Promise.all([
userId ? isStockInWatchlist(userId, symbol) : Promise.resolve(false),
getStockDetailInsights(symbol),
getStockSentimentInsights(symbol),
]);
const { sentimentInsights, aiAnalysis } = stockInsights;
return (
<div className="flex min-h-screen p-4 md:p-6 lg:p-8">
@ -65,13 +64,16 @@ export default async function StockDetails({ params }: StockDetailsPageProps) {
<div className="flex items-center justify-between">
<WatchlistButton
symbol={symbol.toUpperCase()}
company={aiAnalysis?.companyName ?? sentimentInsights?.companyName ?? symbol.toUpperCase()}
company={sentimentInsights?.companyName ?? symbol.toUpperCase()}
isInWatchlist={isInWatchlist}
userId={userId}
/>
</div>
<StockAIAnalysisCard analysis={aiAnalysis} />
<StockAIAnalysisCard
symbol={symbol.toUpperCase()}
companyName={sentimentInsights?.companyName ?? null}
/>
<StockSentimentCard insight={sentimentInsights} />

View File

@ -1,7 +1,12 @@
'use client';
import { useEffect, useState } from 'react';
import { getAIAnalysis } from '@/lib/actions/stock-analysis.actions';
import type { StockAIAnalysis } from '@/lib/actions/stock-analysis.helpers';
interface StockAIAnalysisCardProps {
analysis: StockAIAnalysis | null;
symbol: string;
companyName?: string | null;
}
function getStanceClasses(stance: StockAIAnalysis['stance']) {
@ -30,17 +35,88 @@ function renderList(title: string, items: string[]) {
);
}
export default function StockAIAnalysisCard({ analysis }: StockAIAnalysisCardProps) {
function LoadingSkeleton() {
return (
<section className="rounded-2xl border border-gray-800 bg-gray-950/40 p-5 backdrop-blur-sm">
<div className="flex flex-col gap-4 animate-pulse">
<div className="flex flex-col gap-3 md:flex-row md:items-start md:justify-between">
<div className="flex-1">
<div className="h-3 w-32 rounded bg-gray-700" />
<div className="mt-2 h-6 w-48 rounded bg-gray-700" />
<div className="mt-3 h-4 w-full rounded bg-gray-700" />
<div className="mt-2 h-4 w-3/4 rounded bg-gray-700" />
</div>
<div className="flex gap-2">
<div className="h-6 w-20 rounded-full bg-gray-700" />
<div className="h-6 w-28 rounded-full bg-gray-700" />
</div>
</div>
<div className="grid grid-cols-1 gap-4 md:grid-cols-3">
{[0, 1, 2].map((i) => (
<div key={i} className="rounded-xl border border-gray-800 bg-black/20 p-4">
<div className="h-3 w-20 rounded bg-gray-700" />
<div className="mt-3 space-y-3">
<div className="h-3 w-full rounded bg-gray-700" />
<div className="h-3 w-5/6 rounded bg-gray-700" />
</div>
</div>
))}
</div>
<div className="h-3 w-72 rounded bg-gray-700" />
</div>
</section>
);
}
function ErrorState() {
return (
<section className="rounded-2xl border border-gray-800 bg-gray-950/40 p-5 backdrop-blur-sm">
<p className="text-xs font-semibold uppercase tracking-[0.22em] text-gray-500">AI Stock Analysis</p>
<h2 className="mt-2 text-xl font-semibold text-white">Professional research note unavailable</h2>
<p className="mt-3 text-sm leading-6 text-gray-400">
The stock dashboard data loaded, but an AI research note could not be generated right now.
</p>
</section>
);
}
export default function StockAIAnalysisCard({ symbol, companyName }: StockAIAnalysisCardProps) {
const [analysis, setAnalysis] = useState<StockAIAnalysis | null>(null);
const [isLoading, setIsLoading] = useState(true);
useEffect(() => {
let cancelled = false;
async function fetchAnalysis() {
try {
const result = await getAIAnalysis(symbol, companyName);
if (!cancelled) {
setAnalysis(result);
}
} catch {
if (!cancelled) {
setAnalysis(null);
}
} finally {
if (!cancelled) {
setIsLoading(false);
}
}
}
fetchAnalysis();
return () => {
cancelled = true;
};
}, [symbol, companyName]);
if (isLoading) {
return <LoadingSkeleton />;
}
if (!analysis) {
return (
<section className="rounded-2xl border border-gray-800 bg-gray-950/40 p-5 backdrop-blur-sm">
<p className="text-xs font-semibold uppercase tracking-[0.22em] text-gray-500">AI Stock Analysis</p>
<h2 className="mt-2 text-xl font-semibold text-white">Professional research note unavailable</h2>
<p className="mt-3 text-sm leading-6 text-gray-400">
The stock dashboard data loaded, but an AI research note could not be generated right now.
</p>
</section>
);
return <ErrorState />;
}
return (

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@ -102,3 +102,62 @@ export async function getStockDetailInsights(symbol: string): Promise<StockDetai
tags: [`stock-analysis:${normalizedSymbol}`],
})();
}
export async function getAIAnalysis(
symbol: string,
companyName?: string | null,
): Promise<StockAIAnalysis | null> {
const normalizedSymbol = symbol.trim().toUpperCase();
if (!normalizedSymbol || !hasConfiguredAIProvider()) {
return null;
}
return unstable_cache(
async () => {
const [quote, profile, basicFinancials, news] = await Promise.all([
getQuote(normalizedSymbol),
getCompanyProfile(normalizedSymbol),
getBasicFinancials(normalizedSymbol),
getCompanyNews(normalizedSymbol),
]);
const hasAnalysisContext =
Boolean(quote) ||
Boolean(profile) ||
Boolean(basicFinancials?.metric && Object.keys(basicFinancials.metric).length > 0) ||
news.length > 0;
if (!hasAnalysisContext) {
return null;
}
try {
const response = await callAIProviderWithFallback(
buildStockAnalysisPrompt({
symbol: normalizedSymbol,
quote,
profile,
basicFinancials,
sentimentInsights: null,
recentHeadlines: news.slice(0, 4).map(normalizeHeadline),
}),
);
return parseStockAnalysisResponse(
response,
normalizedSymbol,
companyName ?? profile?.name ?? null,
);
} catch (error) {
console.error(`Failed to generate AI stock analysis for ${normalizedSymbol}`, error);
return null;
}
},
['ai-stock-analysis', normalizedSymbol],
{
revalidate: 900,
tags: [`stock-analysis:${normalizedSymbol}`],
},
)();
}