golem-flask-backend / src /components /DatasetArchitect.tsx
mememechez's picture
Deploy final cleaned source code
ca28016
raw
history blame
17.4 kB
"use client";
import React, { useState } from 'react';
import {
Database, Upload, Search, Zap, Brain,
Settings, CheckCircle, Activity, ArrowRight,
FileUp, BarChart3, Eye, Download, Play
} from 'lucide-react';
import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card";
import { Button } from "@/components/ui/button";
import { Input } from "@/components/ui/input";
import { Textarea } from "@/components/ui/textarea";
import { Badge } from "@/components/ui/badge";
export default function DatasetArchitect() {
const [searchQuery, setSearchQuery] = useState('');
const [isSearching, setIsSearching] = useState(false);
const [uploadedFiles, setUploadedFiles] = useState<File[]>([]);
const [architectAnalysis, setArchitectAnalysis] = useState<any>(null);
const [wizardConfig, setWizardConfig] = useState<any>(null);
const [customDataPriority, setCustomDataPriority] = useState(0.7);
// Option 1: Find matching data from portal
const handlePortalSearch = async () => {
if (!searchQuery.trim()) return
setIsSearching(true)
try {
const response = await fetch(`${process.env.NEXT_PUBLIC_TRAINING_API_BASE || 'http://localhost:9006'}/api/dataset-architect/option-1/find-data`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
query: searchQuery,
task_type: null
})
})
const result = await response.json()
setArchitectAnalysis(result)
} catch (error) {
console.error('Portal search failed:', error)
} finally {
setIsSearching(false)
}
}
// Option 2: Upload data
const handleFileUpload = async (files: FileList) => {
const fileArray = Array.from(files)
setUploadedFiles(fileArray)
const formData = new FormData()
fileArray.forEach(file => formData.append('files', file))
formData.append('dataset_name', 'Uploaded Dataset')
formData.append('dataset_description', 'User uploaded dataset for analysis')
try {
const response = await fetch(`${process.env.NEXT_PUBLIC_TRAINING_API_BASE || 'http://localhost:9006'}/api/dataset-architect/option-2/upload-data`, {
method: 'POST',
body: formData
})
const result = await response.json()
setArchitectAnalysis(result)
} catch (error) {
console.error('Upload failed:', error)
}
}
// Option 3: Hybrid approach
const handleHybridApproach = async () => {
if (!searchQuery.trim() && uploadedFiles.length === 0) return
try {
const formData = new FormData()
uploadedFiles.forEach(file => formData.append('files', file))
const response = await fetch(`${process.env.NEXT_PUBLIC_TRAINING_API_BASE || 'http://localhost:9006'}/api/dataset-architect/option-3/hybrid-approach`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
query: searchQuery,
custom_data_priority: customDataPriority,
metadata: {
name: 'Hybrid Dataset',
description: 'Combined portal and custom data'
}
})
})
const result = await response.json()
setArchitectAnalysis(result)
} catch (error) {
console.error('Hybrid approach failed:', error)
}
}
// Open preprocessing wizard
const openPreprocessingWizard = async () => {
if (!architectAnalysis) return
try {
const response = await fetch(`${process.env.NEXT_PUBLIC_TRAINING_API_BASE || 'http://localhost:9006'}/api/dataset-architect/open-wizard`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
architect_analysis: architectAnalysis,
dataset_info: { name: 'Current Dataset' }
})
})
const result = await response.json()
setWizardConfig(result)
} catch (error) {
console.error('Wizard open failed:', error)
}
}
return (
<div className="h-screen w-full flex flex-col bg-black/95 relative overflow-hidden">
{/* Neon grid overlay */}
<div className="absolute inset-0 pointer-events-none z-0">
<div className="instrument-grid-overlay w-full h-full" />
</div>
{/* Custom scrollbar styles */}
<style dangerouslySetInnerHTML={{
__html: `
.cyber-scrollbar {
scrollbar-width: thin;
scrollbar-color: #00ffe7 rgba(0, 255, 231, 0.1);
}
.cyber-scrollbar::-webkit-scrollbar {
width: 8px;
height: 8px;
}
.cyber-scrollbar::-webkit-scrollbar-track {
background: rgba(0, 0, 0, 0.3);
border-radius: 4px;
}
.cyber-scrollbar::-webkit-scrollbar-thumb {
background: linear-gradient(180deg, #00ffe7, #00b8a3);
border-radius: 4px;
border: 1px solid rgba(0, 255, 231, 0.3);
}
.cyber-scrollbar::-webkit-scrollbar-thumb:hover {
background: linear-gradient(180deg, #39ff14, #00ffe7);
box-shadow: 0 0 8px rgba(0, 255, 231, 0.5);
}
.cyber-scrollbar::-webkit-scrollbar-corner {
background: rgba(0, 0, 0, 0.3);
}
`
}} />
{/* Header */}
<div className="w-full p-4 z-10 flex-shrink-0">
<Card className="bg-black/80 border-[#00ffe7]/30 shadow-[#00ffe7]/20">
<CardHeader className="py-3">
<div className="flex items-center justify-between">
<div className="flex items-center gap-3">
<Database className="h-8 w-8 text-[#00ffe7] animate-pulse" />
<div>
<CardTitle className="text-2xl font-mono tracking-tight text-[#00ffe7]">
Dataset Architect
</CardTitle>
<CardDescription className="text-sm text-[#00ffe7]/80">
AI-powered dataset discovery, analysis, and preprocessing with specialized meta models
</CardDescription>
</div>
</div>
<Badge className="bg-[#39ff14]/20 text-[#39ff14] border-[#39ff14]/30">
The Hardest Part
</Badge>
</div>
</CardHeader>
</Card>
</div>
{/* Main Content */}
<div className="flex-1 flex flex-col p-4 pt-0 z-10 min-h-0 overflow-y-auto cyber-scrollbar">
{/* Data Source Options */}
<div className="grid grid-cols-1 md:grid-cols-3 gap-4 mb-6">
{/* Option 1: Data Portal Search */}
<Card className="bg-black/80 border-[#00ffe7]/30 hover:border-[#00ffe7]/50 transition-all duration-300">
<CardHeader className="pb-3">
<div className="flex items-center gap-2">
<Search className="h-5 w-5 text-[#00ffe7]" />
<CardTitle className="text-lg text-[#00ffe7]">Find Data Portal</CardTitle>
</div>
<CardDescription className="text-[#00ffe7]/70">
Search using AI intelligence across Kaggle, HuggingFace, GitHub, and academic portals
</CardDescription>
</CardHeader>
<CardContent className="space-y-3">
<textarea
placeholder="Enter your data requirements (e.g., 'medical images', 'sentiment analysis', 'time series')"
value={searchQuery}
onChange={(e) => setSearchQuery(e.target.value)}
className="w-full min-h-[80px] max-h-[120px] p-3 bg-black/60 border border-[#00ffe7]/30 text-[#00ffe7] placeholder:text-[#00ffe7]/50 rounded-md resize-none overflow-y-auto cyber-scrollbar focus:outline-none focus:ring-2 focus:ring-[#00ffe7]/50 focus:border-[#00ffe7]"
/>
<Button
onClick={handlePortalSearch}
disabled={isSearching || !searchQuery.trim()}
className="w-full bg-[#00ffe7]/20 text-[#00ffe7] border border-[#00ffe7]/30 hover:bg-[#00ffe7]/30 hover:text-white"
>
{isSearching ? (
<>
<Activity className="w-4 h-4 mr-2 animate-spin" />
Searching Portal...
</>
) : (
<>
<Search className="w-4 h-4 mr-2" />
Search Portal
</>
)}
</Button>
</CardContent>
</Card>
{/* Option 2: Upload Data */}
<Card className="bg-black/80 border-[#00ffe7]/30 hover:border-[#00ffe7]/50 transition-all duration-300">
<CardHeader className="pb-3">
<div className="flex items-center gap-2">
<Upload className="h-5 w-5 text-[#00ffe7]" />
<CardTitle className="text-lg text-[#00ffe7]">Upload Data</CardTitle>
</div>
<CardDescription className="text-[#00ffe7]/70">
Upload your custom dataset for AI analysis and preprocessing recommendations
</CardDescription>
</CardHeader>
<CardContent className="space-y-3">
<div className="border-2 border-dashed border-[#00ffe7]/30 rounded-lg p-6 text-center hover:border-[#00ffe7]/50 transition-colors min-h-[120px] max-h-[200px] overflow-y-auto cyber-scrollbar flex flex-col justify-center">
<FileUp className="h-8 w-8 text-[#00ffe7]/60 mx-auto mb-2" />
<p className="text-sm text-[#00ffe7]/70 mb-2">
Drop files here or click to browse
</p>
<input
type="file"
multiple
onChange={(e) => e.target.files && handleFileUpload(e.target.files)}
className="hidden"
id="file-upload"
/>
<Button
variant="ghost"
size="sm"
onClick={() => document.getElementById('file-upload')?.click()}
className="text-[#00ffe7] border border-[#00ffe7]/30 hover:bg-[#00ffe7]/10"
>
Choose Files
</Button>
</div>
{uploadedFiles.length > 0 && (
<div className="text-xs text-[#00ffe7]/80">
{uploadedFiles.length} file(s) uploaded
</div>
)}
</CardContent>
</Card>
{/* Option 3: Hybrid Approach */}
<Card className="bg-black/80 border-[#00ffe7]/30 hover:border-[#00ffe7]/50 transition-all duration-300">
<CardHeader className="pb-3">
<div className="flex items-center gap-2">
<Zap className="h-5 w-5 text-[#00ffe7]" />
<CardTitle className="text-lg text-[#00ffe7]">Hybrid Approach</CardTitle>
</div>
<CardDescription className="text-[#00ffe7]/70">
Intelligent mix using custom data as priority with portal data augmentation
</CardDescription>
</CardHeader>
<CardContent className="space-y-3">
<div className="space-y-2">
<label className="text-sm text-[#00ffe7]/80">Custom Data Priority: {(customDataPriority * 100).toFixed(0)}%</label>
<input
type="range"
min="0"
max="1"
step="0.1"
value={customDataPriority}
onChange={(e) => setCustomDataPriority(parseFloat(e.target.value))}
className="w-full accent-[#00ffe7]"
/>
</div>
<Button
onClick={handleHybridApproach}
disabled={!searchQuery.trim() && uploadedFiles.length === 0}
className="w-full bg-[#00ffe7]/20 text-[#00ffe7] border border-[#00ffe7]/30 hover:bg-[#00ffe7]/30 hover:text-white"
>
<Zap className="w-4 h-4 mr-2" />
Create Hybrid Dataset
</Button>
</CardContent>
</Card>
</div>
{/* Meta Models Status */}
<Card className="bg-black/80 border-[#00ffe7]/30 mb-4">
<CardHeader className="py-3">
<CardTitle className="text-[#00ffe7] flex items-center gap-2">
<Brain className="h-5 w-5" />
Meta Models Status
</CardTitle>
</CardHeader>
<CardContent>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<Card className="bg-black/60 border-[#00ffe7]/20">
<CardHeader className="pb-2">
<CardTitle className="text-sm text-[#00ffe7]">Dataset Architect Model</CardTitle>
<CardDescription className="text-xs text-[#00ffe7]/60">
Extreme expertise in data preprocessing, vectorization, and feature engineering
</CardDescription>
</CardHeader>
<CardContent className="pt-2">
<div className="flex items-center gap-2">
<CheckCircle className="h-4 w-4 text-[#39ff14]" />
<Badge className="bg-[#39ff14]/20 text-[#39ff14] border-[#39ff14]/30 text-xs">
Loaded & Ready
</Badge>
</div>
</CardContent>
</Card>
<Card className="bg-black/60 border-[#00ffe7]/20">
<CardHeader className="pb-2">
<CardTitle className="text-sm text-[#00ffe7]">Data Science Expert Model</CardTitle>
<CardDescription className="text-xs text-[#00ffe7]/60">
PhD-level analysis, t-SNE visualizations, and comprehensive insights
</CardDescription>
</CardHeader>
<CardContent className="pt-2">
<div className="flex items-center gap-2">
<CheckCircle className="h-4 w-4 text-[#39ff14]" />
<Badge className="bg-[#39ff14]/20 text-[#39ff14] border-[#39ff14]/30 text-xs">
Loaded & Ready
</Badge>
</div>
</CardContent>
</Card>
</div>
</CardContent>
</Card>
{/* Analysis Results */}
{architectAnalysis && (
<Card className="bg-black/80 border-[#00ffe7]/30 mb-4">
<CardHeader className="py-3">
<CardTitle className="text-[#00ffe7] flex items-center gap-2">
<BarChart3 className="h-5 w-5" />
Dataset Architect Analysis
</CardTitle>
</CardHeader>
<CardContent className="space-y-4 max-h-[300px] overflow-y-auto cyber-scrollbar">
<div className="text-sm text-[#00ffe7]/80 font-mono">
Analysis completed successfully. Dataset ready for preprocessing.
</div>
<Button
onClick={openPreprocessingWizard}
className="bg-[#00ffe7]/20 text-[#00ffe7] border border-[#00ffe7]/30 hover:bg-[#00ffe7]/30 hover:text-white"
>
<Play className="w-4 h-4 mr-2" />
Open Preprocessing Wizard
</Button>
</CardContent>
</Card>
)}
{/* Wizard Interface */}
{wizardConfig && (
<Card className="bg-black/80 border-[#00ffe7]/30">
<CardHeader className="py-3">
<CardTitle className="text-[#00ffe7] flex items-center gap-2">
<Settings className="h-5 w-5" />
Dataset Preprocessing Wizard
</CardTitle>
</CardHeader>
<CardContent className="space-y-4 max-h-[400px] overflow-y-auto cyber-scrollbar">
<div className="grid grid-cols-2 md:grid-cols-4 gap-2">
{['Tokenize', 'Normalize', 'Vectorize', 'Visualize'].map((step) => (
<Button
key={step}
size="sm"
className="bg-[#00ffe7]/20 text-[#00ffe7] border border-[#00ffe7]/30 hover:bg-[#00ffe7]/30 hover:text-white"
>
{step}
</Button>
))}
</div>
<div className="flex gap-2">
<Button
size="sm"
className="bg-[#39ff14]/20 text-[#39ff14] border border-[#39ff14]/30 hover:bg-[#39ff14]/30"
>
<Eye className="w-4 h-4 mr-2" />
Generate Visualizations
</Button>
<Button
size="sm"
className="bg-[#00ffe7]/20 text-[#00ffe7] border border-[#00ffe7]/30 hover:bg-[#00ffe7]/30 hover:text-white"
>
<Download className="w-4 h-4 mr-2" />
Export Analysis
</Button>
</div>
</CardContent>
</Card>
)}
</div>
</div>
);
}