fix: rewrite dashboards to use PostgreSQL API instead of empty Trino lakehouse
The Trino/Iceberg lakehouse has zero tables, so all Trino-backed dashboards showed 'No data available'. Rewrote all four to use existing PostgreSQL-backed API endpoints: - Sentiment Heatmap: useTrends + useCompanies → sector and ticker trend strength bar charts (30k trend_windows in DB) - Prediction Accuracy: useRecommendations → confidence distribution and action distribution charts (30k recommendations in DB) - Paper PnL: useTradingMetrics + useTradingMetricsHistory → equity curve, daily returns, win/loss stats from trading engine - Model Quality: useModelPerformance + useModelFailures → success rate, latency, retries, and failure table from ops API Removed unused Trino query function and ScatterChart imports.
This commit is contained in:
Celes Renata
+269
-124
@@ -1,11 +1,11 @@
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import { useState } from 'react';
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import { useCompanies, useTrends, useRecommendations, usePositions } from '../api/hooks';
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import { useQuery } from '@tanstack/react-query';
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import { apiPost } from '../api/client';
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import { useCompanies, useTrends, useRecommendations, usePositions, useModelPerformance, useModelFailures } from '../api/hooks';
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import { useTradingMetrics, useTradingMetricsHistory } from '../api/tradingHooks';
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import { TrendArrow, StatusBadge, ConfidenceBar, LoadingSpinner, DateRangeSelector, TickerFilter, Card } from '../components/ui';
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import {
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LineChart, Line, BarChart, Bar, ScatterChart, Scatter,
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BarChart, Bar,
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XAxis, YAxis, Tooltip, ResponsiveContainer, CartesianGrid, Legend,
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LineChart, Line,
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} from 'recharts';
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type DashboardId = 'gallery' | 'symbol-overview' | 'sentiment-heatmap' | 'prediction-accuracy' | 'paper-pnl' | 'model-quality';
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@@ -51,9 +51,9 @@ export function DashboardsPage() {
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← Back to gallery
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</button>
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{active === 'symbol-overview' && <SymbolOverview ticker={ticker} />}
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{active === 'sentiment-heatmap' && <SentimentHeatmap hours={hours} />}
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{active === 'prediction-accuracy' && <PredictionAccuracy hours={hours} />}
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{active === 'paper-pnl' && <PaperPnl hours={hours} />}
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{active === 'sentiment-heatmap' && <SentimentHeatmap />}
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{active === 'prediction-accuracy' && <PredictionAccuracy />}
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{active === 'paper-pnl' && <PaperPnl />}
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{active === 'model-quality' && <ModelQuality hours={hours} />}
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</div>
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)}
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@@ -62,7 +62,7 @@ export function DashboardsPage() {
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}
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// ---------------------------------------------------------------------------
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// Symbol Overview
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// Symbol Overview (unchanged — already uses PostgreSQL hooks)
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// ---------------------------------------------------------------------------
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function SymbolOverview({ ticker }: { ticker: string }) {
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@@ -121,195 +121,340 @@ function SymbolOverview({ ticker }: { ticker: string }) {
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}
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// ---------------------------------------------------------------------------
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// Trino-backed dashboards
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// Sentiment Heatmap — powered by useTrends (PostgreSQL)
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// ---------------------------------------------------------------------------
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function useTrinoQuery(sql: string, enabled = true) {
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return useQuery({
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queryKey: ['trino-dashboard', sql],
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queryFn: () => apiPost<{ columns: Array<{ name: string }>; rows: unknown[][] }>('query', '/api/analytics/query', { sql, limit: 5000 }),
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enabled,
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staleTime: 60_000,
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});
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}
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function SentimentHeatmap({ hours }: { hours: number }) {
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const days = Math.ceil(hours / 24);
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const { data, isLoading } = useTrinoQuery(
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`SELECT entity_id AS ticker, window, trend_direction, trend_strength, confidence, generated_at FROM trend_windows WHERE entity_type = 'company' AND generated_at >= current_timestamp - interval '${days}' day ORDER BY generated_at DESC LIMIT 500`
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);
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function SentimentHeatmap() {
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const { data: trends, isLoading } = useTrends({ limit: 500 });
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const { data: companies } = useCompanies();
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if (isLoading) return <LoadingSpinner />;
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if (!data?.rows.length) return <p className="text-sm text-gray-500">No sentiment data available</p>;
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if (!trends?.length) return <p className="text-sm text-gray-500">No sentiment data available</p>;
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const chartData = data.rows.map((r) => ({
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ticker: String(r[0]),
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window: String(r[1]),
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strength: Number(r[3]) || 0,
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direction: String(r[2]),
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}));
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// Build sector lookup from companies
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const sectorMap = new Map((companies ?? []).map((c) => [c.ticker, c.sector ?? 'Unknown']));
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// Aggregate trend_strength by sector
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const sectorAgg = new Map<string, { total: number; count: number }>();
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for (const t of trends) {
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const sector = sectorMap.get(t.entity_id) ?? 'Unknown';
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const entry = sectorAgg.get(sector) ?? { total: 0, count: 0 };
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entry.total += t.trend_strength;
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entry.count += 1;
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sectorAgg.set(sector, entry);
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}
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const sectorData = Array.from(sectorAgg.entries())
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.map(([sector, { total, count }]) => ({
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sector,
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avgStrength: Math.round((total / count) * 100) / 100,
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count,
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}))
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.sort((a, b) => b.avgStrength - a.avgStrength);
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// Also build per-ticker chart
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const tickerAgg = new Map<string, { total: number; count: number }>();
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for (const t of trends) {
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const entry = tickerAgg.get(t.entity_id) ?? { total: 0, count: 0 };
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entry.total += t.trend_strength;
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entry.count += 1;
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tickerAgg.set(t.entity_id, entry);
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}
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const tickerData = Array.from(tickerAgg.entries())
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.map(([ticker, { total, count }]) => ({
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ticker,
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strength: Math.round((total / count) * 100) / 100,
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}))
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.sort((a, b) => b.strength - a.strength)
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.slice(0, 25);
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return (
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<div className="space-y-4">
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<Card>
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<h2 className="mb-3 text-sm font-medium text-gray-400">Sentiment by Symbol</h2>
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<h2 className="mb-3 text-sm font-medium text-gray-400">Average Trend Strength by Sector</h2>
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<ResponsiveContainer width="100%" height={300}>
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<BarChart data={chartData}>
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<BarChart data={sectorData}>
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<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
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<XAxis dataKey="sector" tick={{ fill: '#6b7280', fontSize: 10 }} angle={-20} textAnchor="end" height={60} />
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<YAxis tick={{ fill: '#6b7280', fontSize: 10 }} />
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<Tooltip contentStyle={{ backgroundColor: '#1e293b', border: '1px solid #334155', borderRadius: 8 }} />
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<Bar dataKey="avgStrength" fill="#3b82f6" name="Avg Trend Strength" />
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</BarChart>
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</ResponsiveContainer>
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</Card>
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<Card>
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<h2 className="mb-3 text-sm font-medium text-gray-400">Trend Strength by Ticker (Top 25)</h2>
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<ResponsiveContainer width="100%" height={300}>
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<BarChart data={tickerData}>
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<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
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<XAxis dataKey="ticker" tick={{ fill: '#6b7280', fontSize: 10 }} />
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<YAxis tick={{ fill: '#6b7280', fontSize: 10 }} />
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<Tooltip contentStyle={{ backgroundColor: '#1e293b', border: '1px solid #334155', borderRadius: 8 }} />
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<Bar dataKey="strength" fill="#3b82f6" name="Trend Strength" />
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<Bar dataKey="strength" fill="#8b5cf6" name="Trend Strength" />
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</BarChart>
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</ResponsiveContainer>
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</Card>
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</div>
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);
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}
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function PredictionAccuracy({ hours }: { hours: number }) {
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const days = Math.ceil(hours / 24);
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const { data, isLoading } = useTrinoQuery(
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`SELECT predicted_confidence, realized_move_pct, ticker, prediction_date FROM prediction_vs_outcome WHERE prediction_date >= current_date - interval '${days}' day ORDER BY prediction_date DESC LIMIT 1000`
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);
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// ---------------------------------------------------------------------------
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// Prediction Accuracy — powered by useRecommendations (PostgreSQL)
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// ---------------------------------------------------------------------------
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function PredictionAccuracy() {
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const { data: recs, isLoading } = useRecommendations({ limit: 500 });
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if (isLoading) return <LoadingSpinner />;
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if (!data?.rows.length) return <p className="text-sm text-gray-500">No prediction data available</p>;
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if (!recs?.length) return <p className="text-sm text-gray-500">No recommendation data available</p>;
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const chartData = data.rows.map((r) => ({
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confidence: Number(r[0]) || 0,
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realized: Number(r[1]) || 0,
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ticker: String(r[2]),
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// Confidence distribution buckets
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const buckets = [
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{ label: '<0.40', min: 0, max: 0.4 },
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{ label: '0.40–0.55', min: 0.4, max: 0.55 },
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{ label: '0.55–0.75', min: 0.55, max: 0.75 },
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{ label: '0.75–1.00', min: 0.75, max: 1.01 },
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];
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const confidenceData = buckets.map((b) => ({
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bucket: b.label,
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count: recs.filter((r) => r.confidence >= b.min && r.confidence < b.max).length,
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}));
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return (
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<Card>
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<h2 className="mb-3 text-sm font-medium text-gray-400">Predicted Confidence vs Realized Move</h2>
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<ResponsiveContainer width="100%" height={300}>
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<ScatterChart>
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<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
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<XAxis dataKey="confidence" name="Confidence" tick={{ fill: '#6b7280', fontSize: 10 }} />
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<YAxis dataKey="realized" name="Realized %" tick={{ fill: '#6b7280', fontSize: 10 }} />
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<Tooltip contentStyle={{ backgroundColor: '#1e293b', border: '1px solid #334155', borderRadius: 8 }} />
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<Scatter data={chartData} fill="#3b82f6" />
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</ScatterChart>
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</ResponsiveContainer>
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</Card>
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);
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}
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function PaperPnl({ hours }: { hours: number }) {
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const days = Math.ceil(hours / 24);
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const { data, isLoading } = useTrinoQuery(
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`SELECT dt, daily_pnl, cumulative_pnl, win_count, loss_count FROM pnl_daily WHERE dt >= current_date - interval '${days}' day ORDER BY dt ASC LIMIT 365`
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);
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if (isLoading) return <LoadingSpinner />;
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if (!data?.rows.length) return <p className="text-sm text-gray-500">No PnL data available</p>;
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const chartData = data.rows.map((r) => ({
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date: String(r[0]),
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daily: Number(r[1]) || 0,
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cumulative: Number(r[2]) || 0,
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wins: Number(r[3]) || 0,
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losses: Number(r[4]) || 0,
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}));
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const totalWins = chartData.reduce((s, d) => s + d.wins, 0);
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const totalLosses = chartData.reduce((s, d) => s + d.losses, 0);
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const winRate = totalWins + totalLosses > 0 ? ((totalWins / (totalWins + totalLosses)) * 100).toFixed(1) : '—';
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// Action distribution
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const actionCounts = new Map<string, number>();
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for (const r of recs) {
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actionCounts.set(r.action, (actionCounts.get(r.action) ?? 0) + 1);
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}
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const actionData = Array.from(actionCounts.entries())
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.map(([action, count]) => ({ action, count }))
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.sort((a, b) => b.count - a.count);
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return (
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<div className="space-y-4">
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<div className="grid grid-cols-3 gap-3">
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<Card>
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<h2 className="mb-3 text-sm font-medium text-gray-400">Confidence Distribution</h2>
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<ResponsiveContainer width="100%" height={250}>
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<BarChart data={confidenceData}>
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<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
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<XAxis dataKey="bucket" tick={{ fill: '#6b7280', fontSize: 10 }} />
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<YAxis tick={{ fill: '#6b7280', fontSize: 10 }} />
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<Tooltip contentStyle={{ backgroundColor: '#1e293b', border: '1px solid #334155', borderRadius: 8 }} />
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<Bar dataKey="count" fill="#3b82f6" name="Recommendations" />
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</BarChart>
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</ResponsiveContainer>
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</Card>
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<Card>
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<h2 className="mb-3 text-sm font-medium text-gray-400">Action Distribution</h2>
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<ResponsiveContainer width="100%" height={250}>
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<BarChart data={actionData}>
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<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
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<XAxis dataKey="action" tick={{ fill: '#6b7280', fontSize: 10 }} />
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<YAxis tick={{ fill: '#6b7280', fontSize: 10 }} />
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<Tooltip contentStyle={{ backgroundColor: '#1e293b', border: '1px solid #334155', borderRadius: 8 }} />
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<Bar dataKey="count" fill="#22c55e" name="Count" />
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</BarChart>
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</ResponsiveContainer>
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</Card>
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<p className="text-xs text-gray-600">
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Note: Showing confidence and action distributions from recommendations. Realized price move comparison will be available once outcome tracking is implemented.
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</p>
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</div>
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);
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}
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// ---------------------------------------------------------------------------
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// Paper PnL — powered by trading engine API (PostgreSQL)
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// ---------------------------------------------------------------------------
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function PaperPnl() {
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const { data: metrics, isLoading: metricsLoading } = useTradingMetrics();
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const { data: snapshots, isLoading: historyLoading } = useTradingMetricsHistory();
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if (metricsLoading || historyLoading) return <LoadingSpinner />;
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const hasMetrics = !!metrics;
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const hasSnapshots = snapshots && snapshots.length > 0;
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if (!hasMetrics && !hasSnapshots) {
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return (
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<Card>
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<p className="text-sm text-gray-500">Paper trading metrics will appear after the first trading day.</p>
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</Card>
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);
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}
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const equityCurve = (snapshots ?? [])
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.map((s) => ({
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date: s.snapshot_date,
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value: s.portfolio_value,
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dailyReturn: s.daily_return != null ? Math.round(s.daily_return * 10000) / 100 : 0,
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}))
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.sort((a, b) => a.date.localeCompare(b.date));
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const winRate = metrics ? (metrics.win_rate * 100).toFixed(1) : '—';
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const winCount = metrics?.win_count ?? 0;
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const lossCount = metrics?.loss_count ?? 0;
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return (
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<div className="space-y-4">
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{/* Stat cards */}
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<div className="grid grid-cols-2 gap-3 sm:grid-cols-4">
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<Card className="text-center">
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<div className="text-xl font-bold text-gray-100">{winRate}%</div>
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<div className="text-xs text-gray-500">Win Rate</div>
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</Card>
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<Card className="text-center">
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<div className="text-xl font-bold text-green-400">{totalWins}</div>
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<div className="text-xl font-bold text-green-400">{winCount}</div>
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<div className="text-xs text-gray-500">Wins</div>
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</Card>
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<Card className="text-center">
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<div className="text-xl font-bold text-red-400">{totalLosses}</div>
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<div className="text-xl font-bold text-red-400">{lossCount}</div>
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<div className="text-xs text-gray-500">Losses</div>
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</Card>
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<Card className="text-center">
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<div className={`text-xl font-bold ${(metrics?.unrealized_pnl ?? 0) >= 0 ? 'text-green-400' : 'text-red-400'}`}>
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${(metrics?.unrealized_pnl ?? 0).toFixed(2)}
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</div>
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<div className="text-xs text-gray-500">Unrealized PnL</div>
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</Card>
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</div>
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{/* More metrics */}
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{hasMetrics && (
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<div className="grid grid-cols-2 gap-3 sm:grid-cols-4">
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<Card className="text-center">
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<div className="text-lg font-bold text-gray-100">${metrics.total_portfolio_value.toFixed(0)}</div>
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<div className="text-xs text-gray-500">Portfolio Value</div>
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</Card>
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<Card className="text-center">
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<div className="text-lg font-bold text-gray-100">{metrics.profit_factor.toFixed(2)}</div>
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<div className="text-xs text-gray-500">Profit Factor</div>
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</Card>
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<Card className="text-center">
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<div className="text-lg font-bold text-gray-100">{metrics.sharpe_ratio.toFixed(2)}</div>
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<div className="text-xs text-gray-500">Sharpe Ratio</div>
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</Card>
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<Card className="text-center">
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<div className="text-lg font-bold text-red-400">{(metrics.max_drawdown * 100).toFixed(1)}%</div>
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<div className="text-xs text-gray-500">Max Drawdown</div>
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</Card>
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</div>
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)}
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{/* Equity curve */}
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{hasSnapshots && (
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<Card>
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<h2 className="mb-3 text-sm font-medium text-gray-400">Equity Curve</h2>
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<ResponsiveContainer width="100%" height={250}>
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<LineChart data={chartData}>
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<LineChart data={equityCurve}>
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<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
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<XAxis dataKey="date" tick={{ fill: '#6b7280', fontSize: 10 }} />
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<YAxis tick={{ fill: '#6b7280', fontSize: 10 }} />
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<Tooltip contentStyle={{ backgroundColor: '#1e293b', border: '1px solid #334155', borderRadius: 8 }} />
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<Line type="monotone" dataKey="cumulative" stroke="#3b82f6" dot={false} name="Cumulative PnL" />
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<Line type="monotone" dataKey="value" stroke="#3b82f6" dot={false} name="Portfolio Value" />
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</LineChart>
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</ResponsiveContainer>
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</Card>
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)}
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{/* Daily returns */}
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{hasSnapshots && equityCurve.some((d) => d.dailyReturn !== 0) && (
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<Card>
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<h2 className="mb-3 text-sm font-medium text-gray-400">Daily PnL</h2>
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<h2 className="mb-3 text-sm font-medium text-gray-400">Daily Returns (%)</h2>
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<ResponsiveContainer width="100%" height={200}>
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<BarChart data={chartData}>
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<BarChart data={equityCurve}>
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<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
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<XAxis dataKey="date" tick={{ fill: '#6b7280', fontSize: 10 }} />
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<YAxis tick={{ fill: '#6b7280', fontSize: 10 }} />
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<Tooltip contentStyle={{ backgroundColor: '#1e293b', border: '1px solid #334155', borderRadius: 8 }} />
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<Bar dataKey="daily" name="Daily PnL" fill="#3b82f6" />
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<Bar dataKey="dailyReturn" name="Daily Return %" fill="#3b82f6" />
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</BarChart>
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</ResponsiveContainer>
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</Card>
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)}
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</div>
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);
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}
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// ---------------------------------------------------------------------------
|
||||
// Model Quality — powered by ops API (PostgreSQL)
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
function ModelQuality({ hours }: { hours: number }) {
|
||||
const days = Math.ceil(hours / 24);
|
||||
const { data, isLoading } = useTrinoQuery(
|
||||
`SELECT date_trunc('hour', recorded_at) AS hour, count(*) AS total, count(*) filter (where success = true) AS successes, avg(total_duration_ms) AS avg_latency, avg(retry_count) AS avg_retries FROM model_performance_metrics WHERE recorded_at >= current_timestamp - interval '${days}' day GROUP BY 1 ORDER BY 1 ASC LIMIT 500`
|
||||
);
|
||||
const { data: perf, isLoading: perfLoading } = useModelPerformance(hours);
|
||||
const { data: failures, isLoading: failLoading } = useModelFailures(hours);
|
||||
|
||||
if (isLoading) return <LoadingSpinner />;
|
||||
if (!data?.rows.length) return <p className="text-sm text-gray-500">No model metrics available</p>;
|
||||
if (perfLoading || failLoading) return <LoadingSpinner />;
|
||||
|
||||
const chartData = data.rows.map((r) => ({
|
||||
hour: String(r[0]).slice(11, 16),
|
||||
total: Number(r[1]) || 0,
|
||||
successes: Number(r[2]) || 0,
|
||||
rate: Number(r[1]) > 0 ? ((Number(r[2]) / Number(r[1])) * 100) : 0,
|
||||
latency: Math.round(Number(r[3]) || 0),
|
||||
retries: Number(r[4]) || 0,
|
||||
}));
|
||||
const perfData = perf as Record<string, unknown> | undefined;
|
||||
const failureList = (failures ?? []) as Array<Record<string, unknown>>;
|
||||
|
||||
const totalCalls = Number(perfData?.total_calls ?? 0);
|
||||
const successCalls = Number(perfData?.successful_calls ?? 0);
|
||||
const successRate = totalCalls > 0 ? ((successCalls / totalCalls) * 100).toFixed(1) : '—';
|
||||
const avgLatency = Number(perfData?.avg_latency_ms ?? 0);
|
||||
const avgRetries = Number(perfData?.avg_retries ?? 0);
|
||||
|
||||
const hasData = totalCalls > 0 || failureList.length > 0;
|
||||
if (!hasData) return <p className="text-sm text-gray-500">No model metrics available</p>;
|
||||
|
||||
return (
|
||||
<div className="space-y-4">
|
||||
<Card>
|
||||
<h2 className="mb-3 text-sm font-medium text-gray-400">Success Rate Over Time</h2>
|
||||
<ResponsiveContainer width="100%" height={250}>
|
||||
<LineChart data={chartData}>
|
||||
<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
|
||||
<XAxis dataKey="hour" tick={{ fill: '#6b7280', fontSize: 10 }} />
|
||||
<YAxis tick={{ fill: '#6b7280', fontSize: 10 }} domain={[0, 100]} />
|
||||
<Tooltip contentStyle={{ backgroundColor: '#1e293b', border: '1px solid #334155', borderRadius: 8 }} />
|
||||
<Line type="monotone" dataKey="rate" stroke="#22c55e" dot={false} name="Success %" />
|
||||
</LineChart>
|
||||
</ResponsiveContainer>
|
||||
{/* Stat cards */}
|
||||
<div className="grid grid-cols-2 gap-3 sm:grid-cols-4">
|
||||
<Card className="text-center">
|
||||
<div className="text-xl font-bold text-gray-100">{totalCalls}</div>
|
||||
<div className="text-xs text-gray-500">Total Calls</div>
|
||||
</Card>
|
||||
<Card className="text-center">
|
||||
<div className={`text-xl font-bold ${Number(successRate) >= 90 ? 'text-green-400' : Number(successRate) >= 70 ? 'text-yellow-400' : 'text-red-400'}`}>
|
||||
{successRate}%
|
||||
</div>
|
||||
<div className="text-xs text-gray-500">Success Rate</div>
|
||||
</Card>
|
||||
<Card className="text-center">
|
||||
<div className="text-xl font-bold text-gray-100">{Math.round(avgLatency)}ms</div>
|
||||
<div className="text-xs text-gray-500">Avg Latency</div>
|
||||
</Card>
|
||||
<Card className="text-center">
|
||||
<div className="text-xl font-bold text-gray-100">{avgRetries.toFixed(2)}</div>
|
||||
<div className="text-xs text-gray-500">Avg Retries</div>
|
||||
</Card>
|
||||
</div>
|
||||
|
||||
{/* Recent failures table */}
|
||||
{failureList.length > 0 && (
|
||||
<Card>
|
||||
<h2 className="mb-3 text-sm font-medium text-gray-400">Latency & Retries</h2>
|
||||
<ResponsiveContainer width="100%" height={200}>
|
||||
<BarChart data={chartData}>
|
||||
<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
|
||||
<XAxis dataKey="hour" tick={{ fill: '#6b7280', fontSize: 10 }} />
|
||||
<YAxis tick={{ fill: '#6b7280', fontSize: 10 }} />
|
||||
<Tooltip contentStyle={{ backgroundColor: '#1e293b', border: '1px solid #334155', borderRadius: 8 }} />
|
||||
<Legend />
|
||||
<Bar dataKey="latency" fill="#3b82f6" name="Avg Latency (ms)" />
|
||||
<Bar dataKey="retries" fill="#f59e0b" name="Avg Retries" />
|
||||
</BarChart>
|
||||
</ResponsiveContainer>
|
||||
<h2 className="mb-3 text-sm font-medium text-gray-400">Recent Failures ({failureList.length})</h2>
|
||||
<div className="overflow-x-auto">
|
||||
<table className="w-full text-left text-xs">
|
||||
<thead>
|
||||
<tr className="border-b border-surface-700 text-gray-500">
|
||||
<th className="pb-2 pr-4">Time</th>
|
||||
<th className="pb-2 pr-4">Model</th>
|
||||
<th className="pb-2 pr-4">Error</th>
|
||||
<th className="pb-2 pr-4">Retries</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{failureList.slice(0, 20).map((f, i) => (
|
||||
<tr key={i} className="border-b border-surface-800">
|
||||
<td className="py-1.5 pr-4 text-gray-400">{String(f.recorded_at ?? f.created_at ?? '').slice(0, 19)}</td>
|
||||
<td className="py-1.5 pr-4 text-gray-300">{String(f.model_name ?? f.model ?? '—')}</td>
|
||||
<td className="max-w-xs truncate py-1.5 pr-4 text-red-400">{String(f.error_message ?? f.error ?? '—')}</td>
|
||||
<td className="py-1.5 pr-4 text-gray-400">{String(f.retry_count ?? '—')}</td>
|
||||
</tr>
|
||||
))}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</Card>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user