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import React, { useState, useEffect } from 'react';
import { Activity, Zap, Shield, Globe, Lock, Download, ChevronDown, FileText } from 'lucide-react';
import PredictionCard from './ml/PredictionCard';
import ModelPerformance from './ml/ModelPerformance';
import FeatureImportance from './ml/FeatureImportance';
const ProductSection = ({ vertical, id }) => {
const [data, setData] = useState(null);
const [prediction, setPrediction] = useState(null);
const [files, setFiles] = useState([]);
const [loading, setLoading] = useState(true);
const [showFiles, setShowFiles] = useState(false);
const [status, setStatus] = useState(null);
const [debugLogs, setDebugLogs] = useState([]);
const addDebugLog = (msg) => {
setDebugLogs(prev => [`[${new Date().toLocaleTimeString()}] ${msg}`, ...prev].slice(0, 50));
};
const fetchData = async () => {
setLoading(true);
const apiUrl = import.meta.env.VITE_API_URL || '';
try {
// Fetch Data Preview, Files, AND ML Prediction
const [previewData, filesData, predictionData] = await Promise.all([
fetch(`${apiUrl}/api/preview/${vertical}`).then(res => res.json()),
fetch(`${apiUrl}/api/files/${vertical}`).then(res => res.json()),
fetch(`${apiUrl}/api/predict/${vertical}`).then(res => res.json())
]);
console.log("Preview Data:", previewData);
console.log("Files Data:", filesData);
console.log("Prediction Data:", predictionData);
if (previewData.error || predictionData.error || predictionData.detail) {
const errorMsg = previewData.error || predictionData.error || predictionData.detail;
console.error("API Error:", errorMsg);
addDebugLog(`API Error: ${errorMsg}`);
// If error is due to loading, start polling
if (predictionData.error === "ML Engine Loading" || errorMsg === "Not Found") {
pollStatus();
}
} else {
setData(previewData);
setFiles(filesData.files || []);
setPrediction(predictionData);
setLoading(false);
}
} catch (err) {
console.error("Fetch Error:", err);
addDebugLog(`Fetch Error: ${err.message}`);
// Only stop loading if we are NOT going to poll
// But here we want to poll if fetch failed
pollStatus();
}
};
useEffect(() => {
fetchData();
}, [vertical]);
const pollStatus = async () => {
const apiUrl = import.meta.env.VITE_API_URL || '';
try {
addDebugLog(`Polling ${apiUrl}/api/status...`);
// Add cache buster
const res = await fetch(`${apiUrl}/api/status?t=${Date.now()}`);
// Log Headers for debugging
const dateHeader = res.headers.get('date');
const serverHeader = res.headers.get('server');
if (res.status === 429) {
addDebugLog("⚠️ Status: 429 Too Many Requests (Rate Limited)");
addDebugLog("Waiting 15s before retry...");
setTimeout(pollStatus, 15000); // Backoff for 15s
return;
}
if (res.status === 404) {
addDebugLog(`Status: 404 Not Found`);
addDebugLog(`Server: ${serverHeader} | Time: ${dateHeader}`);
// CHECK IF IT'S THE OLD BACKEND
try {
const verRes = await fetch(`${apiUrl}/api/version?t=${Date.now()}`);
if (verRes.ok) {
const verData = await verRes.json();
addDebugLog(`✓ NEW BACKEND DETECTED: ${verData.version}`);
addDebugLog("Status endpoint should be available momentarily...");
} else {
const catRes = await fetch(`${apiUrl}/api/catalog?t=${Date.now()}`);
if (catRes.ok) {
addDebugLog("⚠️ DIAGNOSIS: OLD BACKEND DETECTED (v1.0)");
addDebugLog("The server is online but running old code.");
} else {
addDebugLog("Diagnosis: Server might be completely down.");
}
}
} catch (err) {
addDebugLog("Diagnosis Check Failed.");
}
setStatus({ detail: "Not Found" });
} else if (res.status === 503) {
addDebugLog("Status: 503 Service Unavailable (Initializing)");
const data = await res.json();
setStatus(data);
} else if (res.ok) {
const data = await res.json();
addDebugLog(`Status: 200 OK (Ready: ${data.ready})`);
setStatus(data);
if (!data.ready) {
setTimeout(pollStatus, 1000);
return;
} else {
addDebugLog("System Ready. Fetching Data...");
// STOP RELOADING, JUST FETCH DATA
fetchData();
return;
}
} else {
addDebugLog(`Status: ${res.status} ${res.statusText}`);
}
setTimeout(pollStatus, 5000);
} catch (e) {
console.error("Status poll failed", e);
addDebugLog(`Poll Connection Failed: ${e.message}`);
setTimeout(pollStatus, 5000);
}
};
if (loading) return (
<div className="h-[600px] flex items-center justify-center border-b border-slate-200 bg-slate-50">
<div className="text-slate-400 animate-pulse font-medium flex flex-col items-center gap-4">
<div className="w-8 h-8 border-4 border-blue-500 border-t-transparent rounded-full animate-spin"></div>
Initializing ML Models for {vertical}...
</div>
</div>
);
// Config based on vertical
const configs = {
fintech: {
title: "Fintech Growth Intelligence",
icon: <Activity className="text-blue-600" size={32} />,
color: "blue",
desc: "Predicting funding rounds and valuation shifts before they happen."
},
ai_talent: {
title: "AI Talent & Capital Prediction",
icon: <Zap className="text-indigo-600" size={32} />,
color: "indigo",
desc: "Tracking engineer migration to predict model breakthroughs."
},
esg: {
title: "ESG Impact & Greenwashing Detector",
icon: <Shield className="text-emerald-600" size={32} />,
color: "emerald",
desc: "Quantifying the gap between corporate claims and reality."
},
regulatory: {
title: "Regulatory Compliance Prediction",
icon: <Lock className="text-red-600" size={32} />,
color: "red",
desc: "Forecasting enforcement actions and fine probabilities."
},
supply_chain: {
title: "Supply Chain Resilience Intelligence",
icon: <Globe className="text-amber-600" size={32} />,
color: "amber",
desc: "Predicting disruption risks and recovery timelines."
}
};
const config = configs[vertical] || configs.fintech;
const isError = !data || data.error || !prediction || prediction.error || prediction.detail || !prediction.predictions;
return (
<section id={id} className="py-20 border-b border-slate-200 last:border-0 bg-slate-50">
<div className="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
{/* Header */}
<div className="flex flex-col md:flex-row justify-between items-start md:items-center mb-12 gap-6">
<div className="flex items-center gap-4">
<div className={`p-4 bg-white rounded-2xl border border-slate-200 shadow-sm`}>
{config.icon}
</div>
<div>
<h2 className="text-3xl md:text-4xl font-bold text-slate-900 mb-2">{config.title}</h2>
<p className="text-slate-500 text-lg">{config.desc}</p>
</div>
</div>
<div className="relative">
<button
onClick={() => setShowFiles(!showFiles)}
className="flex items-center gap-2 px-6 py-3 bg-slate-900 text-white rounded-lg font-bold hover:bg-slate-800 transition-colors shadow-lg shadow-slate-900/10"
>
<Download size={18} />
Download Data
<ChevronDown size={16} className={`transition-transform ${showFiles ? 'rotate-180' : ''}`} />
</button>
{showFiles && (
<div className="absolute right-0 top-full mt-2 w-80 bg-white rounded-xl shadow-xl border border-slate-200 overflow-hidden z-50">
<div className="p-3 bg-slate-50 border-b border-slate-100 text-xs font-bold text-slate-500 uppercase tracking-wider">
Available Datasets
</div>
<div className="max-h-64 overflow-y-auto">
{files.map((file, i) => (
<a
key={i}
href={`${import.meta.env.VITE_API_URL || ''}/api/download/${file.filename}`}
className="block p-4 hover:bg-blue-50 transition-colors border-b border-slate-50 last:border-0"
>
<div className="flex justify-between items-center mb-1">
<span className="text-sm font-bold text-slate-900">{file.name}</span>
<span className="text-[10px] bg-slate-100 text-slate-500 px-1.5 py-0.5 rounded border border-slate-200">{file.type}</span>
</div>
<div className="flex items-center gap-2 text-xs text-slate-500">
<FileText size={12} />
<span className="truncate max-w-[150px]">{file.filename}</span>
<span className="text-slate-300">•</span>
{file.size}
</div>
</a>
))}
</div>
</div>
)}
</div>
</div>
{/* Content Area */}
{isError ? (
<div className="h-[400px] flex items-center justify-center text-slate-400 bg-white rounded-xl border border-slate-200">
<div className="text-center max-w-md w-full p-6">
<p className="mb-4 font-bold text-slate-700 text-lg">System Initializing...</p>
{status && status.logs ? (
<div className="bg-slate-900 rounded-lg p-4 text-left font-mono text-xs text-emerald-400 shadow-inner h-48 overflow-y-auto flex flex-col-reverse">
{status.logs.map((log, i) => (
<div key={i} className="mb-1 border-b border-slate-800/50 pb-1 last:border-0">
<span className="text-slate-500 mr-2">[{new Date().toLocaleTimeString()}]</span>
{log}
</div>
))}
</div>
) : (
<div className="space-y-4">
<div className="space-y-2">
<p className="text-sm text-slate-500 font-medium">
{status && status.detail === "Not Found"
? "Backend is updating to v2.1... (This may take 2-3 mins)"
: "Connecting to ML Engine Status Stream..."}
</p>
{status && status.detail === "Not Found" && (
<div className="w-full bg-slate-100 rounded-full h-1.5 overflow-hidden">
<div className="bg-blue-500 h-full animate-progress-indeterminate"></div>
</div>
)}
</div>
{/* Debug Console for Visibility */}
<div className="bg-black rounded-md p-3 font-mono text-[10px] text-slate-400 h-32 overflow-y-auto border border-slate-800">
<div className="text-slate-500 mb-1 border-b border-slate-800 pb-1">NETWORK DEBUG LOG:</div>
{debugLogs.map((log, i) => (
<div key={i} className={`${log.includes('404') ? 'text-amber-500' : 'text-slate-300'}`}>
{log}
</div>
))}
</div>
</div>
)}
{status && status.progress !== undefined && (
<div className="mt-4">
<div className="flex justify-between text-xs text-slate-500 mb-1">
<span>{status.step}</span>
<span>{status.progress}%</span>
</div>
<div className="h-2 bg-slate-100 rounded-full overflow-hidden">
<div
className="h-full bg-blue-500 transition-all duration-500"
style={{ width: `${status.progress}%` }}
/>
</div>
</div>
)}
</div>
</div>
) : (
<div className="grid grid-cols-1 lg:grid-cols-12 gap-8">
{/* LEFT COLUMN: Active Predictions (8 cols) */}
<div className="lg:col-span-8 space-y-8">
<PredictionCard
predictions={prediction.predictions}
confidence={prediction.confidence}
vertical={vertical}
/>
<FeatureImportance explanation={prediction.explanation} />
</div>
{/* RIGHT COLUMN: Model Performance (4 cols) */}
<div className="lg:col-span-4">
<ModelPerformance />
{/* Additional Info Card */}
<div className="mt-8 bg-white border border-slate-200 rounded-xl p-6 shadow-sm">
<h4 className="text-sm font-bold text-slate-900 uppercase tracking-wider mb-4">
Data Sources
</h4>
<ul className="space-y-3">
{Object.keys(prediction.explanation).slice(0, 4).map((key, i) => (
<li key={i} className="flex items-center gap-2 text-sm text-slate-600">
<div className="w-1.5 h-1.5 rounded-full bg-blue-500"></div>
<span className="capitalize">{key.replace(/_/g, ' ')}</span>
</li>
))}
<li className="text-xs text-slate-400 italic pt-2">
+ 28 other signals processed
</li>
</ul>
</div>
</div>
</div>
)}
</div>
</section>
);
};
export default ProductSection;
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