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dbc70ee | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 | import React, { useState, useEffect } from 'react';
import { Globe, Ship, AlertTriangle, ShieldCheck, Loader2, X } from 'lucide-react';
import { ChatGoogleGenerativeAI } from '@langchain/google-genai';
import { HumanMessage } from '@langchain/core/messages';
import { AreaChart, Area, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer } from 'recharts';
const newsHeadlines = [
{ source: 'Right-Leaning', headline: 'Supply Chain Bottlenecks Expose Dependence on Foreign Imports', sentiment: 'negative' },
{ source: 'Left-Leaning', headline: 'Global Trade Disruptions Threaten Consumer Price Stability', sentiment: 'negative' },
{ source: 'Financial Times', headline: 'Port Congestion Peaks as Holiday Inventory Arrives Early', sentiment: 'neutral' }
];
// Fallback data in case the ArcGIS API fails due to CORS or downtime
const mockPortData = Array.from({ length: 30 }, (_, i) => ({
date: new Date(Date.now() - (29 - i) * 24 * 60 * 60 * 1000).toLocaleDateString('en-US', { month: 'short', day: 'numeric' }),
calls: Math.floor(12000 + Math.random() * 3000 + (i > 20 ? -2000 : 0)) // Simulating a recent dip
}));
export default function MacroTracker() {
const [isOpen, setIsOpen] = useState(false);
const [analysis, setAnalysis] = useState(null);
const [loading, setLoading] = useState(false);
const [chartData, setChartData] = useState([]);
const [isLive, setIsLive] = useState(false);
useEffect(() => {
const fetchPortWatchData = async () => {
try {
const apiUrl = "https://services9.arcgis.com/weJ1QsnbMYJlCHdG/arcgis/rest/services/Daily_Trade_Data/FeatureServer/0/query?where=1=1&outFields=date,calls&orderByFields=date DESC&resultRecordCount=30&f=json";
const response = await fetch(apiUrl);
if (!response.ok) throw new Error('Network response was not ok');
const data = await response.json();
if (data && data.features && data.features.length > 0) {
const parsedData = data.features.map(f => ({
date: new Date(f.attributes.date).toLocaleDateString('en-US', { month: 'short', day: 'numeric' }),
calls: f.attributes.calls || 0
})).reverse();
setChartData(parsedData);
setIsLive(true);
} else {
throw new Error('No features returned');
}
} catch (error) {
console.warn("Failed to fetch live ArcGIS data. Falling back to mock dataset.", error);
setChartData(mockPortData);
setIsLive(false);
}
};
fetchPortWatchData();
}, []);
const synthesizeNews = async () => {
setLoading(true);
setAnalysis(null);
const apiKey = import.meta.env.VITE_GEMINI_API_KEY;
if (apiKey && apiKey.length > 10) {
try {
const llm = new ChatGoogleGenerativeAI({
apiKey: apiKey,
modelName: 'gemini-1.5-flash',
maxOutputTokens: 2048,
});
const recentDataSummary = chartData.slice(-5).map(d => `${d.date}: ${d.calls} calls`).join(", ");
const promptText = `
You are an expert, calming financial advisor speaking to a novice investor.
The user is looking at a custom dashboard of global maritime trade data (port calls).
Here is the raw data for the last 5 days indicating recent activity levels: [${recentDataSummary}].
Additionally, read these recent news headlines causing panic:
1. ${newsHeadlines[0].headline}
2. ${newsHeadlines[1].headline}
3. ${newsHeadlines[2].headline}
Provide a grounded, jargon-free explanation (max 3-4 sentences) that synthesizes this numerical data and the news.
Explain why this data represents normal market noise and why they should not panic sell their portfolio.
`;
const message = new HumanMessage({
content: [{ type: "text", text: promptText }]
});
const response = await llm.invoke([message]);
setAnalysis(response.content);
setLoading(false);
} catch (error) {
console.error("Gemini Error:", error);
runMockAnalysis();
}
} else {
runMockAnalysis();
}
};
const runMockAnalysis = () => {
setTimeout(() => {
setAnalysis("While the news highlights supply chain bottlenecks, the port data shows that daily ship calls remain within normal seasonal ranges, despite a slight recent dip. This indicates that global trade is still flowing actively. Temporary disruptions and the resulting inflation spikes rarely derail a well-diversified, long-term portfolio. Stay the course and avoid making emotional decisions based on short-term headlines.");
setLoading(false);
}, 2000);
};
const handleOpen = () => {
setIsOpen(true);
if (!analysis) {
synthesizeNews();
}
};
return (
<>
<button
onClick={handleOpen}
className="w-full mt-8 py-4 bg-gs-navy text-white rounded-xl hover:bg-gs-navy/90 transition-all flex justify-center items-center font-medium shadow-md group"
>
<Globe className="mr-3 text-gs-gold group-hover:rotate-12 transition-transform" size={24} />
Generate Ground Truth (Global Uncertainty Tracker)
</button>
{isOpen && (
<div className="fixed inset-0 z-50 flex items-center justify-center p-4 bg-black/60 backdrop-blur-sm animate-in fade-in duration-200">
<div className="w-full max-w-5xl bg-white rounded-2xl shadow-2xl overflow-hidden flex flex-col max-h-[90vh]">
<div className="bg-gs-navy p-6 text-white flex justify-between items-center sticky top-0 z-10">
<div>
<h2 className="text-xl font-medium flex items-center">
<Globe className="mr-2 text-gs-gold" size={20} /> Global Uncertainty Tracker
</h2>
<p className="text-sm text-gs-light/70 font-light mt-1">
Contextualizing geopolitical noise with real-world data to keep you grounded.
</p>
</div>
<button onClick={() => setIsOpen(false)} className="p-2 hover:bg-white/10 rounded-full transition-colors">
<X size={24} />
</button>
</div>
<div className="p-6 overflow-y-auto">
<div className="grid grid-cols-1 lg:grid-cols-2 gap-8 mb-8">
{/* Left: Custom Port Data Chart */}
<div className="flex flex-col">
<h3 className="text-sm text-gs-slate uppercase tracking-wider font-medium mb-3 flex items-center justify-between">
<div className="flex items-center">
<Ship size={16} className="mr-2 text-blue-500" /> Global Port Activity
</div>
<span className={`text-xs font-semibold px-2 py-1 rounded ${isLive ? 'bg-green-100 text-green-700' : 'bg-gray-100 text-gray-600'}`}>
{isLive ? 'LIVE IMF DATA' : 'MOCK DATA FALLBACK'}
</span>
</h3>
<div className="rounded-xl border border-gray-200 p-4 h-64 w-full bg-gray-50/50">
<ResponsiveContainer width="100%" height="100%">
<AreaChart data={chartData} margin={{ top: 10, right: 10, left: -20, bottom: 0 }}>
<defs>
<linearGradient id="colorCalls" x1="0" y1="0" x2="0" y2="1">
<stop offset="5%" stopColor="#1E293B" stopOpacity={0.8}/>
<stop offset="95%" stopColor="#1E293B" stopOpacity={0}/>
</linearGradient>
</defs>
<CartesianGrid strokeDasharray="3 3" vertical={false} stroke="#E5E7EB" />
<XAxis dataKey="date" axisLine={false} tickLine={false} tick={{ fontSize: 10, fill: '#64748B' }} minTickGap={30} />
<YAxis axisLine={false} tickLine={false} tick={{ fontSize: 10, fill: '#64748B' }} />
<Tooltip
contentStyle={{ borderRadius: '8px', border: 'none', boxShadow: '0 4px 6px -1px rgb(0 0 0 / 0.1)' }}
labelStyle={{ fontWeight: 'bold', color: '#1E293B' }}
/>
<Area type="monotone" dataKey="calls" stroke="#1E293B" strokeWidth={2} fillOpacity={1} fill="url(#colorCalls)" />
</AreaChart>
</ResponsiveContainer>
</div>
<p className="text-xs text-gs-slate mt-2 italic">Daily maritime trade volume index based on global port calls.</p>
</div>
{/* Right: News */}
<div className="flex flex-col">
<h3 className="text-sm text-gs-slate uppercase tracking-wider font-medium mb-3 flex items-center">
<AlertTriangle size={16} className="mr-2 text-red-500" /> The News Cycle
</h3>
<div className="space-y-3 mb-6 flex-grow">
{newsHeadlines.map((news, idx) => (
<div key={idx} className="bg-gray-50 border-l-2 border-gs-gold p-3 rounded-r-lg text-sm">
<span className="text-xs font-semibold text-gs-slate mb-1 block uppercase tracking-wide">{news.source}</span>
<span className="text-gs-navy font-medium italic">"{news.headline}"</span>
</div>
))}
</div>
</div>
</div>
{/* Analysis Output */}
<div className="bg-gs-light p-6 rounded-xl border border-gray-200">
<div className="flex">
<div className="flex-shrink-0 mr-4">
<div className="w-10 h-10 rounded-full bg-gs-navy flex items-center justify-center text-gs-gold">
{loading ? <Loader2 size={20} className="animate-spin" /> : <ShieldCheck size={20} />}
</div>
</div>
<div>
<h4 className="text-sm font-semibold uppercase tracking-wider text-gs-navy mb-1">
{loading ? 'Synthesizing Ground Truth...' : 'Grounded Analysis'}
</h4>
{analysis ? (
<p className="text-gs-slate leading-relaxed font-light">{analysis}</p>
) : (
<div className="h-4 bg-gray-200 rounded w-3/4 animate-pulse mt-2"></div>
)}
</div>
</div>
</div>
</div>
</div>
</div>
)}
</>
);
}
|