import React, { useState, useEffect } from "react" import { useFireproof } from "use-fireproof" import { callAI } from "call-ai" import { ImgGen } from "use-vibes" export default function MLStorageAdvisorPro() { const { database, useLiveQuery, useDocument } = useFireproof("ml-storage-advisor-pro") const [currentStep, setCurrentStep] = useState(0) const [isAnalyzing, setIsAnalyzing] = useState(false) const [showBenchmarks, setShowBenchmarks] = useState(false) const [activeTab, setActiveTab] = useState("journal") const [selectedRecommendation, setSelectedRecommendation] = useState(null) const [roiPeriod, setRoiPeriod] = useState(3) const [simulationParams, setSimulationParams] = useState({ scaleFactor: 2, timeframe: 1 }) const { doc: journal, merge: mergeJournal, submit: submitJournal } = useDocument({ type: "ml-journal", workloadType: "", datasetSize: "", projectedGrowth: "", accessPattern: "", readWriteRatio: "", dataType: "", deploymentType: "", iopsRequirement: "", latencyRequirement: "", throughputRequirement: "", complianceNeeds: "", multiSiteRequirement: "", drRequirement: "", status: "draft" }) const { docs: journals } = useLiveQuery("type", { key: "ml-journal", descending: true }) const { docs: recommendations } = useLiveQuery("type", { key: "storage-recommendation", descending: true }) const { docs: roiAnalyses } = useLiveQuery("type", { key: "roi-analysis", descending: true }) const { docs: complianceReports } = useLiveQuery("type", { key: "compliance-report", descending: true }) // Extended benchmark reference data const benchmarkData = [ { workload: "LLM Training", storageType: "Block+Object", vendors: ["HPE Primera", "NetApp AFF"], estSize: "200TB", iops: "500K+", latency: "<2ms", throughput: "25GB/s", costPerTB: "$4,500", compliance: ["SOC2", "FedRAMP"] }, { workload: "Computer Vision", storageType: "Object", vendors: ["Dell PowerScale", "Pure FlashBlade"], estSize: "150TB", iops: "Low", latency: "10ms", throughput: "15GB/s", costPerTB: "$2,200", compliance: ["GDPR", "HIPAA"] }, { workload: "NLP Processing", storageType: "File+Block", vendors: ["NetApp ONTAP", "HPE Alletra"], estSize: "80TB", iops: "300K", latency: "~5ms", throughput: "12GB/s", costPerTB: "$3,800", compliance: ["SOC2", "ISO27001"] }, { workload: "Fraud Detection", storageType: "Block", vendors: ["Pure FlashArray", "Dell PowerMax"], estSize: "50TB", iops: "1M+", latency: "<1ms", throughput: "8GB/s", costPerTB: "$5,200", compliance: ["PCI-DSS", "SOX"] }, { workload: "Recommendation Engines", storageType: "Hybrid", vendors: ["HPE Primera+Nimble", "NetApp FAS+AFF"], estSize: "120TB", iops: "200K", latency: "3ms", throughput: "18GB/s", costPerTB: "$3,100", compliance: ["GDPR", "CCPA"] }, { workload: "Time Series Analytics", storageType: "File", vendors: ["NetApp ONTAP", "Dell Isilon"], estSize: "300TB", iops: "50K", latency: "8ms", throughput: "20GB/s", costPerTB: "$1,800", compliance: ["HIPAA", "ISO27001"] } ] const journalSteps = [ { field: "workloadType", label: "ML Workload Type", options: ["LLM Training", "Computer Vision", "NLP Processing", "Fraud Detection", "Recommendation Engines", "Time Series Analytics", "Other"] }, { field: "datasetSize", label: "Current Dataset Size", options: ["<1TB", "1-10TB", "10-50TB", "50-200TB", "200TB-1PB", ">1PB"] }, { field: "projectedGrowth", label: "Expected Growth (Next 2 Years)", options: ["2x", "5x", "10x", "20x", "50x+"] }, { field: "accessPattern", label: "Data Access Pattern", options: ["Sequential Read-Heavy", "Random Access", "Mixed Sequential/Random", "Write-Heavy Batch", "Real-time Streaming"] }, { field: "readWriteRatio", label: "Read/Write Ratio", options: ["90% Read", "70% Read", "50/50 Mixed", "70% Write", "90% Write"] }, { field: "dataType", label: "Primary Data Types", options: ["Text/Documents", "Images/Video", "Audio", "Structured Data", "Time Series", "Mixed Types"] }, { field: "deploymentType", label: "Deployment Environment", options: ["On-Premises", "Public Cloud", "Hybrid Cloud", "Edge Computing", "Multi-Cloud"] }, { field: "iopsRequirement", label: "IOPS Requirements", options: ["<10K", "10K-50K", "50K-200K", "200K-500K", "500K-1M", ">1M"] }, { field: "latencyRequirement", label: "Latency Requirements", options: ["<1ms", "1-5ms", "5-10ms", "10-50ms", ">50ms", "Not Critical"] }, { field: "throughputRequirement", label: "Throughput Requirements", options: ["<1GB/s", "1-5GB/s", "5-15GB/s", "15-30GB/s", ">30GB/s"] }, { field: "complianceNeeds", label: "Compliance Requirements", options: ["None", "GDPR", "HIPAA", "SOX", "PCI-DSS", "FedRAMP", "SOC2", "ISO27001", "CCPA", "Multiple"] }, { field: "multiSiteRequirement", label: "Multi-Site Requirements", options: ["Single Site", "2-3 Sites", "4-10 Sites", "Global Distribution", "Edge + Central"] }, { field: "drRequirement", label: "Disaster Recovery Needs", options: ["Basic Backup", "Point-in-Time Recovery", "Real-time Replication", "Geo-redundancy", "Zero-downtime DR"] } ] const handleStepSelection = (value) => { const currentField = journalSteps[currentStep].field mergeJournal({ [currentField]: value }) if (currentStep < journalSteps.length - 1) { setCurrentStep(currentStep + 1) } } const generateRecommendation = async () => { if (!journal.workloadType || !journal.datasetSize) return setIsAnalyzing(true) try { const prompt = `Based on this comprehensive ML workload journal, provide detailed storage recommendations including compliance, multi-site, and DR considerations: Workload: ${journal.workloadType} Dataset Size: ${journal.datasetSize} Growth Projection: ${journal.projectedGrowth} Access Pattern: ${journal.accessPattern} Read/Write Ratio: ${journal.readWriteRatio} Data Type: ${journal.dataType} Deployment: ${journal.deploymentType} IOPS Requirement: ${journal.iopsRequirement} Latency Requirement: ${journal.latencyRequirement} Throughput Requirement: ${journal.throughputRequirement} Compliance Needs: ${journal.complianceNeeds} Multi-Site: ${journal.multiSiteRequirement} DR Requirements: ${journal.drRequirement} Provide comprehensive recommendations including architecture, capacity, vendors, compliance alignment, and multi-site planning.` const response = await callAI(prompt, { schema: { properties: { storageArchitecture: { type: "string" }, recommendedCapacity: { type: "string" }, capacityWithBuffer: { type: "string" }, primaryVendor: { type: "string" }, alternativeVendors: { type: "array", items: { type: "string" } }, performanceTier: { type: "string" }, estimatedCostYear1: { type: "string" }, estimatedCostYear3: { type: "string" }, estimatedCostYear5: { type: "string" }, keyBenefits: { type: "array", items: { type: "string" } }, implementationNotes: { type: "string" }, riskFactors: { type: "array", items: { type: "string" } }, complianceAlignment: { type: "array", items: { type: "string" } }, multiSiteStrategy: { type: "string" }, drStrategy: { type: "string" }, scalingRecommendations: { type: "array", items: { type: "string" } } } } }) const recommendationData = JSON.parse(response) const recDoc = await database.put({ type: "storage-recommendation", journalId: journal._id, workloadType: journal.workloadType, timestamp: Date.now(), ...recommendationData }) // Generate ROI analysis await generateROIAnalysis(recDoc.id, recommendationData) // Generate compliance report await generateComplianceReport(recDoc.id, journal.complianceNeeds, recommendationData) mergeJournal({ status: "analyzed" }) } catch (error) { console.error("Error generating recommendation:", error) } finally { setIsAnalyzing(false) } } const generateROIAnalysis = async (recommendationId, recData) => { const prompt = `Generate a detailed ROI and TCO analysis for this storage recommendation over 3 and 5 year periods: Storage: ${recData.storageArchitecture} Year 1 Cost: ${recData.estimatedCostYear1} Year 3 Cost: ${recData.estimatedCostYear3} Year 5 Cost: ${recData.estimatedCostYear5} Vendor: ${recData.primaryVendor} Include hardware, software, support, power, cooling, administration costs, and potential savings.` try { const response = await callAI(prompt, { schema: { properties: { hardwareCosts: { type: "object", properties: { year1: { type: "string" }, year3: { type: "string" }, year5: { type: "string" } } }, softwareCosts: { type: "object", properties: { year1: { type: "string" }, year3: { type: "string" }, year5: { type: "string" } } }, supportCosts: { type: "object", properties: { year1: { type: "string" }, year3: { type: "string" }, year5: { type: "string" } } }, operationalCosts: { type: "object", properties: { year1: { type: "string" }, year3: { type: "string" }, year5: { type: "string" } } }, totalTCO: { type: "object", properties: { year1: { type: "string" }, year3: { type: "string" }, year5: { type: "string" } } }, potentialSavings: { type: "array", items: { type: "string" } }, paybackPeriod: { type: "string" }, roi3Year: { type: "string" }, roi5Year: { type: "string" }, costOptimizations: { type: "array", items: { type: "string" } } } } }) const roiData = JSON.parse(response) await database.put({ type: "roi-analysis", recommendationId, timestamp: Date.now(), ...roiData }) } catch (error) { console.error("Error generating ROI analysis:", error) } } const generateComplianceReport = async (recommendationId, complianceNeeds, recData) => { if (!complianceNeeds || complianceNeeds === "None") return const prompt = `Generate a compliance assessment report for ${complianceNeeds} requirements with this storage solution: Storage Architecture: ${recData.storageArchitecture} Primary Vendor: ${recData.primaryVendor} Compliance Alignment: ${recData.complianceAlignment?.join(", ")} Assess compliance gaps, required configurations, and implementation recommendations.` try { const response = await callAI(prompt, { schema: { properties: { complianceStatus: { type: "string" }, alignedRequirements: { type: "array", items: { type: "string" } }, gapAnalysis: { type: "array", items: { type: "string" } }, requiredConfigurations: { type: "array", items: { type: "string" } }, certificationNeeded: { type: "array", items: { type: "string" } }, implementationSteps: { type: "array", items: { type: "string" } }, ongoingCompliance: { type: "array", items: { type: "string" } }, riskMitigation: { type: "array", items: { type: "string" } } } } }) const complianceData = JSON.parse(response) await database.put({ type: "compliance-report", recommendationId, complianceType: complianceNeeds, timestamp: Date.now(), ...complianceData }) } catch (error) { console.error("Error generating compliance report:", error) } } const runPerformanceSimulation = async (recommendationId, scaleFactor, timeframe) => { const rec = recommendations.find(r => r._id === recommendationId) if (!rec) return const prompt = `Simulate storage performance scaling for this configuration over ${timeframe} years with ${scaleFactor}x growth: Current Architecture: ${rec.storageArchitecture} Current Capacity: ${rec.capacityWithBuffer} Performance Tier: ${rec.performanceTier} Workload: ${rec.workloadType} Predict performance bottlenecks, scaling requirements, and infrastructure changes needed.` try { const response = await callAI(prompt, { schema: { properties: { scaledCapacity: { type: "string" }, performanceImpact: { type: "string" }, bottlenecks: { type: "array", items: { type: "string" } }, scalingRecommendations: { type: "array", items: { type: "string" } }, additionalInfrastructure: { type: "array", items: { type: "string" } }, estimatedCosts: { type: "string" }, migrationComplexity: { type: "string" } } } }) const simulationData = JSON.parse(response) await database.put({ type: "performance-simulation", recommendationId, scaleFactor, timeframe, timestamp: Date.now(), ...simulationData }) } catch (error) { console.error("Error running simulation:", error) } } const generateDemoData = async () => { const demoPrompt = "Create 4 diverse ML workload journal entries with realistic parameters including compliance and DR requirements for healthcare, financial, retail, and government use cases." try { const response = await callAI(demoPrompt, { schema: { properties: { journals: { type: "array", items: { type: "object", properties: { workloadType: { type: "string" }, datasetSize: { type: "string" }, projectedGrowth: { type: "string" }, accessPattern: { type: "string" }, readWriteRatio: { type: "string" }, dataType: { type: "string" }, deploymentType: { type: "string" }, iopsRequirement: { type: "string" }, latencyRequirement: { type: "string" }, throughputRequirement: { type: "string" }, complianceNeeds: { type: "string" }, multiSiteRequirement: { type: "string" }, drRequirement: { type: "string" } } } } } } }) const demoData = JSON.parse(response) for (const journalData of demoData.journals) { await database.put({ type: "ml-journal", status: "draft", timestamp: Date.now() - Math.random() * 86400000, ...journalData }) } } catch (error) { console.error("Error generating demo data:", error) } } const exportComprehensiveReport = (rec) => { const roiReport = roiAnalyses.find(r => r.recommendationId === rec._id) const complianceReport = complianceReports.find(r => r.recommendationId === rec._id) const comprehensiveData = { recommendation: rec, roi: roiReport, compliance: complianceReport, timestamp: new Date().toISOString() } const blob = new Blob([JSON.stringify(comprehensiveData, null, 2)], { type: "application/json" }) const url = URL.createObjectURL(blob) const a = document.createElement("a") a.href = url a.download = `comprehensive-storage-report-${rec._id}.json` a.click() } const tabOptions = [ { id: "journal", label: "📝 Journal", icon: "📝" }, { id: "recommendations", label: "🎯 Recommendations", icon: "🎯" }, { id: "roi", label: "💰 ROI Analysis", icon: "💰" }, { id: "compliance", label: "🛡️ Compliance", icon: "🛡️" }, { id: "simulation", label: "📊 Performance", icon: "📊" }, { id: "enterprise", label: "🏢 Enterprise", icon: "🏢" } ] return (

{/* Header */}

🧠 ML Storage Advisor Pro

*Enterprise-grade storage planning with ROI analysis, compliance checking, performance simulation, and comprehensive multi-site disaster recovery planning for ML workloads.*

{/* Navigation Tabs */}

{tabOptions.map((tab) => ( ))}

{/* Enhanced Benchmark Reference Table */} {showBenchmarks && (

📊 Enhanced Benchmark Reference Data

{benchmarkData.map((row, idx) => ( ))}

Workload	Storage Type	Vendors	Size	IOPS	Latency	Throughput	Cost/TB	Compliance
{row.workload}	{row.storageType}	{row.vendors.join(", ")}	{row.estSize}	{row.iops}	{row.latency}	{row.throughput}	{row.costPerTB}	{row.compliance.join(", ")}

)} {/* Tab Content */} {activeTab === "journal" && (

{/* Enhanced Journal Creation */}

📝 Enhanced ML Workload Journal

{currentStep < journalSteps.length && (

Step {currentStep + 1} of {journalSteps.length}

{journalSteps[currentStep].label}

{journalSteps[currentStep].options.map((option, idx) => ( ))}

{currentStep === journalSteps.length - 1 && ( )}

)} {currentStep >= journalSteps.length && (

✅ Enhanced Journal Complete!

)}

{/* Previous Journals */}

📚 Journal History

{journals.slice(0, 10).map((j) => (

{j.workloadType}

{j.datasetSize} • {j.deploymentType}

{j.complianceNeeds} • {j.drRequirement}

{j.status === "analyzed" ? "✅ Analyzed" : "📝 Draft"}

))}

)} {activeTab === "recommendations" && (

🎯 Storage Recommendations

{recommendations.slice(0, 6).map((rec) => (

{rec.workloadType}

{rec.performanceTier}

Architecture

{rec.storageArchitecture}

Capacity

{rec.capacityWithBuffer}

Vendor

{rec.primaryVendor}

3-Year Cost

{rec.estimatedCostYear3}

{rec.complianceAlignment && rec.complianceAlignment.length > 0 && (

Compliance

{rec.complianceAlignment.slice(0, 3).join(", ")}

)}

))}

)} {activeTab === "roi" && (

💰 ROI & TCO Analysis

{roiAnalyses.slice(0, 4).map((roi) => { const relatedRec = recommendations.find(r => r._id === roi.recommendationId) return (

{relatedRec?.workloadType || "Unknown Workload"}

Year 1 TCO

{roi.totalTCO?.year1}

Year 3 TCO

{roi.totalTCO?.year3}

Year 5 TCO

{roi.totalTCO?.year5}

3-Year ROI

{roi.roi3Year}

Payback Period

{roi.paybackPeriod}

{roi.potentialSavings && roi.potentialSavings.length > 0 && (

Potential Savings

• {saving}

)}

) })}

)} {activeTab === "compliance" && (

🛡️ Compliance Assessment

{complianceReports.slice(0, 4).map((comp) => { const relatedRec = recommendations.find(r => r._id === comp.recommendationId) return (

{relatedRec?.workloadType || "Unknown Workload"}

{comp.complianceType}

Status: {comp.complianceStatus}

{comp.alignedRequirements && comp.alignedRequirements.length > 0 && (

✅ Aligned Requirements

• {req}

)} {comp.gapAnalysis && comp.gapAnalysis.length > 0 && (

⚠️ Compliance Gaps

• {gap}

)}

) })}

)} {activeTab === "simulation" && (

📊 Performance Simulation

Simulation Parameters

Scale Factor

Timeframe (Years)

Select Recommendation to Simulate

{recommendations.slice(0, 6).map((rec) => ( ))}

*Select a recommendation and run simulation to see performance scaling analysis and infrastructure requirements.*

)} {activeTab === "enterprise" && (

🏢 Enterprise Planning Dashboard

{/* Multi-Site Analysis */}

🌍 Multi-Site Summary

{Array.from(new Set(journals.map(j => j.multiSiteRequirement).filter(Boolean))).map((site, idx) => (

{site} {journals.filter(j => j.multiSiteRequirement === site).length}

))}

{/* DR Planning Summary */}

🔄 DR Requirements

{Array.from(new Set(journals.map(j => j.drRequirement).filter(Boolean))).map((dr, idx) => (

{dr} {journals.filter(j => j.drRequirement === dr).length}

))}

{/* Compliance Overview */}

🛡️ Compliance Overview

{Array.from(new Set(journals.map(j => j.complianceNeeds).filter(Boolean).filter(c => c !== "None"))).map((compliance, idx) => (

{compliance} {journals.filter(j => j.complianceNeeds === compliance).length}

))}

{/* Cost Summary */}

💰 Enterprise Cost Planning

{roiAnalyses.length}

ROI Analyses

{recommendations.length}

Recommendations

{complianceReports.length}

Compliance Reports

{journals.filter(j => j.status === "analyzed").length}

Analyzed Workloads

)}

) }