dgx-spark-playbooks/nvidia/txt2kg/assets/frontend/components/unified-gpu-viewer.tsx

525 lines
19 KiB
TypeScript
Raw Normal View History

2025-12-02 19:43:52 +00:00
//
// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
2025-10-06 17:05:41 +00:00
"use client"
import React, { useState, useEffect, useRef } from 'react'
import { Button } from '@/components/ui/button'
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card'
import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select'
import { Badge } from '@/components/ui/badge'
import { Switch } from '@/components/ui/switch'
import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs'
import { Loader2, Zap, Activity, Cpu, Cloud, ExternalLink, Settings } from 'lucide-react'
import { useToast } from '@/hooks/use-toast'
interface GraphData {
nodes: Array<{
id: string
name: string
group?: string
[key: string]: any
}>
links: Array<{
source: string
target: string
name: string
[key: string]: any
}>
}
interface UnifiedGPUViewerProps {
graphData: GraphData
onError?: (error: Error) => void
}
interface ProcessingCapabilities {
processing_modes: {
pygraphistry_cloud: { available: boolean, description: string }
local_gpu: { available: boolean, description: string }
local_cpu: { available: boolean, description: string }
}
has_rapids: boolean
has_torch_geometric: boolean
gpu_available: boolean
}
interface ProcessedData {
processed_nodes: any[]
processed_edges: any[]
processing_mode: string
embed_url?: string
gpu_processed?: boolean
layout_positions?: Record<string, [number, number]>
clusters?: Record<string, number>
centrality?: Record<string, Record<string, number>>
stats: {
node_count: number
edge_count: number
gpu_accelerated: boolean
has_embed_url?: boolean
layout_computed?: boolean
clusters_computed?: boolean
centrality_computed?: boolean
}
timestamp: string
}
export function UnifiedGPUViewer({ graphData, onError }: UnifiedGPUViewerProps) {
const [isProcessing, setIsProcessing] = useState(false)
const [processedData, setProcessedData] = useState<ProcessedData | null>(null)
const [capabilities, setCapabilities] = useState<ProcessingCapabilities | null>(null)
const [serviceHealth, setServiceHealth] = useState<'unknown' | 'healthy' | 'error'>('unknown')
// Processing mode and options
const [processingMode, setProcessingMode] = useState<'pygraphistry_cloud' | 'local_gpu' | 'local_cpu'>('pygraphistry_cloud')
// PyGraphistry options
const [layoutType, setLayoutType] = useState('force')
const [gpuAcceleration, setGpuAcceleration] = useState(true)
const [clustering, setClustering] = useState(false)
// Local GPU options
const [layoutAlgorithm, setLayoutAlgorithm] = useState('force_atlas2')
const [clusteringAlgorithm, setClusteringAlgorithm] = useState('leiden')
const [computeCentrality, setComputeCentrality] = useState(true)
const { toast } = useToast()
const wsRef = useRef<WebSocket | null>(null)
// Check service health and capabilities on mount
useEffect(() => {
checkServiceHealth()
getCapabilities()
setupWebSocket()
return () => {
if (wsRef.current) {
wsRef.current.close()
}
}
}, [])
const checkServiceHealth = async () => {
try {
const response = await fetch('/api/unified-gpu/health')
if (response.ok) {
setServiceHealth('healthy')
} else {
setServiceHealth('error')
}
} catch (error) {
console.error('Unified service health check failed:', error)
setServiceHealth('error')
}
}
const getCapabilities = async () => {
try {
const response = await fetch('/api/unified-gpu/capabilities')
if (response.ok) {
const caps = await response.json()
setCapabilities(caps)
// Set default mode based on capabilities
if (caps.processing_modes.pygraphistry_cloud.available) {
setProcessingMode('pygraphistry_cloud')
} else if (caps.processing_modes.local_gpu.available) {
setProcessingMode('local_gpu')
} else {
setProcessingMode('local_cpu')
}
}
} catch (error) {
console.error('Failed to get capabilities:', error)
}
}
const setupWebSocket = () => {
try {
const ws = new WebSocket('ws://localhost:8080/ws')
ws.onopen = () => {
console.log('WebSocket connected to unified service')
}
ws.onmessage = (event) => {
try {
const message = JSON.parse(event.data)
if (message.type === 'graph_processed') {
setProcessedData(message.data)
setIsProcessing(false)
toast({
title: "Processing Complete",
description: `Processed ${message.data.stats.node_count} nodes with ${message.data.processing_mode}`,
})
}
} catch (error) {
console.error('WebSocket message error:', error)
}
}
wsRef.current = ws
} catch (error) {
console.error('WebSocket setup failed:', error)
}
}
const processGraph = async () => {
if (!graphData?.nodes?.length || !graphData?.links?.length) {
toast({
title: "No Graph Data",
description: "Please ensure graph data is loaded before processing.",
variant: "destructive"
})
return
}
setIsProcessing(true)
try {
const requestData = {
graph_data: {
nodes: graphData.nodes,
links: graphData.links
},
processing_mode: processingMode,
// PyGraphistry options
layout_type: layoutType,
gpu_acceleration: gpuAcceleration,
clustering: clustering,
// Local GPU options
layout_algorithm: layoutAlgorithm,
clustering_algorithm: clusteringAlgorithm,
compute_centrality: computeCentrality
}
const response = await fetch('/api/unified-gpu/visualize', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(requestData)
})
if (!response.ok) {
throw new Error(`Processing failed: ${response.statusText}`)
}
// Result will come via WebSocket or direct response
const result = await response.json()
if (!wsRef.current || wsRef.current.readyState !== WebSocket.OPEN) {
// Handle direct response if WebSocket not available
setProcessedData(result)
setIsProcessing(false)
toast({
title: "Processing Complete",
description: `Processed ${result.stats.node_count} nodes with ${result.processing_mode}`,
})
}
} catch (error) {
console.error('Processing error:', error)
const errorMessage = error instanceof Error ? error.message : 'Unknown error occurred'
toast({
title: "Processing Failed",
description: errorMessage,
variant: "destructive"
})
setIsProcessing(false)
if (onError) {
onError(error instanceof Error ? error : new Error(errorMessage))
}
}
}
const ServiceStatus = () => (
<div className="flex items-center gap-2 text-sm">
<div className={`w-2 h-2 rounded-full ${
serviceHealth === 'healthy' ? 'bg-green-500' :
serviceHealth === 'error' ? 'bg-red-500' : 'bg-yellow-500'
}`} />
<span>
Unified Service: {serviceHealth === 'healthy' ? 'Connected' :
serviceHealth === 'error' ? 'Disconnected' : 'Checking...'}
</span>
</div>
)
const ProcessingModeSelector = () => (
<div className="space-y-2">
<label className="text-sm font-medium">Processing Mode</label>
<Select value={processingMode} onValueChange={(value: any) => setProcessingMode(value)}>
<SelectTrigger>
<SelectValue />
</SelectTrigger>
<SelectContent>
{capabilities?.processing_modes.pygraphistry_cloud.available && (
<SelectItem value="pygraphistry_cloud">
<div className="flex items-center gap-2">
<Cloud className="w-4 h-4" />
PyGraphistry Cloud
</div>
</SelectItem>
)}
{capabilities?.processing_modes.local_gpu.available && (
<SelectItem value="local_gpu">
<div className="flex items-center gap-2">
<Zap className="w-4 h-4" />
Local GPU (cuGraph)
</div>
</SelectItem>
)}
<SelectItem value="local_cpu">
<div className="flex items-center gap-2">
<Cpu className="w-4 h-4" />
Local CPU
</div>
</SelectItem>
</SelectContent>
</Select>
<p className="text-xs text-muted-foreground">
{capabilities?.processing_modes[processingMode]?.description}
</p>
</div>
)
const StatsDisplay = ({ stats }: { stats: ProcessedData['stats'] }) => (
<div className="grid grid-cols-2 md:grid-cols-3 gap-4 text-sm">
<div className="flex items-center gap-2">
<Activity className="w-4 h-4 text-blue-500" />
<span>{stats.node_count.toLocaleString()} nodes</span>
</div>
<div className="flex items-center gap-2">
<Activity className="w-4 h-4 text-green-500" />
<span>{stats.edge_count.toLocaleString()} edges</span>
</div>
<div className="flex items-center gap-2">
{stats.gpu_accelerated ? (
<Zap className="w-4 h-4 text-yellow-500" />
) : (
<Cpu className="w-4 h-4 text-gray-500" />
)}
<span>{stats.gpu_accelerated ? 'GPU' : 'CPU'} accelerated</span>
</div>
</div>
)
return (
<div className="space-y-4">
{/* Service Status */}
<Card>
<CardHeader className="pb-3">
<CardTitle className="flex items-center justify-between">
<span className="flex items-center gap-2">
<Zap className="w-5 h-5" />
Unified GPU Visualization
</span>
<ServiceStatus />
</CardTitle>
</CardHeader>
<CardContent className="space-y-4">
{/* Processing Mode Selection */}
<ProcessingModeSelector />
{/* Processing Options */}
<Tabs value={processingMode} className="w-full">
<TabsList className="grid w-full grid-cols-3">
<TabsTrigger value="pygraphistry_cloud" disabled={!capabilities?.processing_modes.pygraphistry_cloud.available}>
Cloud
</TabsTrigger>
<TabsTrigger value="local_gpu" disabled={!capabilities?.processing_modes.local_gpu.available}>
Local GPU
</TabsTrigger>
<TabsTrigger value="local_cpu">
Local CPU
</TabsTrigger>
</TabsList>
<TabsContent value="pygraphistry_cloud" className="space-y-4">
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="space-y-2">
<label className="text-sm font-medium">Layout Type</label>
<Select value={layoutType} onValueChange={setLayoutType}>
<SelectTrigger>
<SelectValue />
</SelectTrigger>
<SelectContent>
<SelectItem value="force">Force Directed</SelectItem>
<SelectItem value="circular">Circular</SelectItem>
<SelectItem value="hierarchical">Hierarchical</SelectItem>
</SelectContent>
</Select>
</div>
<div className="space-y-4">
<div className="flex items-center justify-between">
<label className="text-sm font-medium">GPU Acceleration</label>
<Switch checked={gpuAcceleration} onCheckedChange={setGpuAcceleration} />
</div>
<div className="flex items-center justify-between">
<label className="text-sm font-medium">Auto-Clustering</label>
<Switch checked={clustering} onCheckedChange={setClustering} />
</div>
</div>
</div>
</TabsContent>
<TabsContent value="local_gpu" className="space-y-4">
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="space-y-4">
<div className="space-y-2">
<label className="text-sm font-medium">Layout Algorithm</label>
<Select value={layoutAlgorithm} onValueChange={setLayoutAlgorithm}>
<SelectTrigger>
<SelectValue />
</SelectTrigger>
<SelectContent>
<SelectItem value="force_atlas2">Force Atlas 2</SelectItem>
<SelectItem value="spectral">Spectral Layout</SelectItem>
<SelectItem value="fruchterman_reingold">Fruchterman-Reingold</SelectItem>
</SelectContent>
</Select>
</div>
<div className="space-y-2">
<label className="text-sm font-medium">Clustering Algorithm</label>
<Select value={clusteringAlgorithm} onValueChange={setClusteringAlgorithm}>
<SelectTrigger>
<SelectValue />
</SelectTrigger>
<SelectContent>
<SelectItem value="leiden">Leiden</SelectItem>
<SelectItem value="louvain">Louvain</SelectItem>
<SelectItem value="spectral">Spectral Clustering</SelectItem>
</SelectContent>
</Select>
</div>
</div>
<div className="space-y-4">
<div className="flex items-center justify-between">
<label className="text-sm font-medium">Compute Centrality</label>
<Switch checked={computeCentrality} onCheckedChange={setComputeCentrality} />
</div>
{capabilities && (
<div className="p-2 bg-muted rounded text-xs">
RAPIDS cuGraph: {capabilities.has_rapids ? '✓ Available' : '✗ Not Available'}
</div>
)}
</div>
</div>
</TabsContent>
<TabsContent value="local_cpu" className="space-y-4">
<div className="p-4 bg-muted rounded-lg text-center">
<p className="text-sm text-muted-foreground">
CPU fallback mode - basic processing without GPU acceleration
</p>
</div>
</TabsContent>
</Tabs>
{/* Action Button */}
<Button
onClick={processGraph}
disabled={isProcessing || serviceHealth !== 'healthy'}
className="w-full"
>
{isProcessing ? (
<>
<Loader2 className="w-4 h-4 mr-2 animate-spin" />
Processing with {processingMode.replace('_', ' ')}...
</>
) : (
<>
<Zap className="w-4 h-4 mr-2" />
Process Graph
</>
)}
</Button>
</CardContent>
</Card>
{/* Results */}
{processedData && (
<Card className="flex-1">
<CardHeader className="pb-3">
<div className="flex items-center justify-between">
<CardTitle>Processing Results</CardTitle>
<Badge variant="outline">
{processedData.processing_mode.replace('_', ' ')}
</Badge>
</div>
</CardHeader>
<CardContent className="space-y-4">
{/* Statistics */}
<StatsDisplay stats={processedData.stats} />
{/* Visualization */}
<div className="w-full h-96 border rounded-lg overflow-hidden">
{processedData.embed_url ? (
// PyGraphistry Cloud embed
<>
<div className="p-3 bg-blue-50 border-b flex items-center justify-between">
<div>
<div className="text-sm font-medium text-blue-700">
PyGraphistry Cloud Visualization
</div>
<div className="text-xs text-blue-600">
Interactive GPU-accelerated visualization
</div>
</div>
<Button
variant="outline"
size="sm"
onClick={() => window.open(processedData.embed_url, '_blank')}
>
<ExternalLink className="w-4 h-4 mr-1" />
Open
</Button>
</div>
<iframe
src={processedData.embed_url}
className="w-full h-80"
title="PyGraphistry Visualization"
style={{ border: 'none' }}
/>
</>
) : (
// Local processing result
<div className="p-4 bg-green-50 border-b">
<div className="text-sm font-medium text-green-700">
🚀 Local {processedData.gpu_processed ? 'GPU' : 'CPU'} Processing Complete
</div>
<div className="text-xs text-green-600 mt-1">
{processedData.stats.layout_computed && '✓ Layout computed '}
{processedData.stats.clusters_computed && '✓ Clusters detected '}
{processedData.stats.centrality_computed && '✓ Centrality computed'}
</div>
</div>
)}
</div>
</CardContent>
</Card>
)}
</div>
)
}