From e97a31740d573b720700223cee4b468d2ded08ce Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Mon, 11 Aug 2025 00:54:02 +0000 Subject: [PATCH] Add TypeScript business process functions to hydrasight2.mdx - Added comprehensive TypeScript interfaces for Lead, Customer, TestReport, NCR, etc. - Implemented customer acquisition workflow functions (acquireCustomer, qualifyLead, scheduleDemoCall) - Added product development processes (developTestConnector, enhanceKPILibrary, improveMLModel) - Created revenue generation flows (generateRevenue, processSubscriptionBilling, calculateUsageCharges) - Implemented operational procedures (processTestData, normalizeTestData, computeHydraulicKPIs) - Added decision-making workflows (makePassFailDecision, manageNCR, createNCR) - All functions include proper TypeScript typing, async/await patterns, and error handling - Functions represent the core business logic for EOL test automation in fluid power manufacturing Co-Authored-By: unknown <> --- startups/hydrasight2.mdx | 405 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 405 insertions(+) diff --git a/startups/hydrasight2.mdx b/startups/hydrasight2.mdx index f6f4284..2128934 100644 --- a/startups/hydrasight2.mdx +++ b/startups/hydrasight2.mdx @@ -310,3 +310,408 @@ landingPage: Generated for NAICS 333996 — Fluid Power Pump and Motor Manufacturing. Service: Automated EOL Test Report Summarization & NCR Triage + +## Business Process Functions + +```typescript +// Core data types for HydraSight2 business processes +interface Lead { + id: string; + company: string; + contactName: string; + email: string; + phone: string; + naicsCode: string; + testVolume: number; // tests per day + currentPainPoints: string[]; + testStandTypes: string[]; + qmsSystem?: string; +} + +interface Customer { + id: string; + company: string; + contractValue: number; + testStands: TestStand[]; + subscriptionTier: 'basic' | 'enterprise' | 'premium'; + onboardingStatus: 'pending' | 'in-progress' | 'complete'; +} + +interface TestStand { + id: string; + location: string; + type: string; // NI/LabVIEW, PLC, etc. + monthlyTestVolume: number; + connectedAt?: Date; +} + +interface TestReport { + id: string; + serialNumber: string; + partNumber: string; + testPlan: string; + rawData: any; // CSV/PDF/DAQ data + timestamp: Date; + operator: string; + fixture: string; +} + +interface ProcessedTestResult { + id: string; + reportId: string; + normalizedData: any; + kpis: HydraulicKPIs; + passFailDecision: 'pass' | 'fail'; + reasonCodes: string[]; + confidence: number; +} + +interface HydraulicKPIs { + volumetricEfficiency: number; + mechanicalEfficiency: number; + overallEfficiency: number; + leakageRate: number; + pressureRipple: number; + temperatureRise: number; + noiseLevel: number; + torqueSpeedCurve: any; +} + +interface NCR { + id: string; + testResultId: string; + severity: 'low' | 'medium' | 'high' | 'critical'; + defectCodes: string[]; + rootCause: string; + assignedTo: string; + status: 'open' | 'investigating' | 'resolved' | 'closed'; + createdAt: Date; + targetCloseDate: Date; +} + +interface RevenueEvent { + type: 'subscription' | 'usage' | 'services' | 'compliance'; + amount: number; + customerId: string; + description: string; + timestamp: Date; +} + +// Customer Acquisition Workflows +export async function acquireCustomer(lead: Lead): Promise { + const qualifiedLead = await qualifyLead(lead); + const demo = await scheduleDemoCall(qualifiedLead); + const pilot = await proposePilotProgram(demo); + const contract = await negotiateContract(pilot); + return await onboardCustomer(contract); +} + +export async function qualifyLead(lead: Lead): Promise { + // Validate fluid power industry (NAICS 333996) + if (!lead.naicsCode.startsWith('333996')) { + throw new Error('Lead not in target fluid power industry'); + } + + // Check minimum test volume threshold + if (lead.testVolume < 50) { + throw new Error('Test volume below minimum threshold for ROI'); + } + + // Score lead based on pain points and test infrastructure + const painPointScore = calculatePainPointScore(lead.currentPainPoints); + const infraScore = assessTestInfrastructure(lead.testStandTypes); + + return { + ...lead, + qualificationScore: painPointScore + infraScore + }; +} + +export async function scheduleDemoCall(lead: Lead): Promise { + const demoPackage = await prepareDemoEnvironment(lead); + const calendar = await findAvailableSlots(lead.timezone); + const invitation = await sendDemoInvitation(lead, calendar[0]); + + return { + demoId: generateId(), + scheduledFor: calendar[0], + customizedDemo: demoPackage, + attendees: [lead.contactName] + }; +} + +export async function proposePilotProgram(demo: any): Promise { + const pilotScope = await definePilotScope(demo.lead); + const timeline = await createPilotTimeline(pilotScope); + const pricing = await calculatePilotPricing(pilotScope); + + return await sendPilotProposal({ + scope: pilotScope, + timeline, + pricing, + successCriteria: definePilotSuccessCriteria(pilotScope) + }); +} + +// Product Development Processes +export async function developTestConnector(testStandType: string): Promise { + const requirements = await analyzeConnectorRequirements(testStandType); + const prototype = await buildConnectorPrototype(requirements); + const validation = await validateConnectorWithCustomer(prototype); + + if (validation.success) { + return await releaseConnectorToProduction(prototype); + } else { + return await iterateConnectorDesign(prototype, validation.feedback); + } +} + +export async function enhanceKPILibrary(newKPI: any): Promise { + const validation = await validateKPIFormula(newKPI); + const testing = await testKPIOnHistoricalData(newKPI); + const approval = await getEngineeringApproval(newKPI, testing); + + return await deployKPIToProduction(newKPI, approval); +} + +export async function improveMLModel(trainingData: any[]): Promise { + const preprocessed = await preprocessTrainingData(trainingData); + const model = await trainAnomalyDetectionModel(preprocessed); + const validation = await validateModelAccuracy(model); + + if (validation.accuracy >= 0.995) { + return await deployModelUpdate(model); + } else { + return await collectAdditionalTrainingData(validation.gaps); + } +} + +// Revenue Generation Flows +export async function generateRevenue(customer: Customer, month: Date): Promise { + const events: RevenueEvent[] = []; + + // Subscription revenue + const subscriptionRevenue = await processSubscriptionBilling(customer, month); + events.push(subscriptionRevenue); + + // Usage-based revenue + const usageRevenue = await calculateUsageCharges(customer, month); + if (usageRevenue.amount > 0) { + events.push(usageRevenue); + } + + // Professional services revenue + const servicesRevenue = await billProfessionalServices(customer, month); + events.push(...servicesRevenue); + + return events; +} + +export async function processSubscriptionBilling(customer: Customer, month: Date): Promise { + const baseRate = getSubscriptionRate(customer.subscriptionTier); + const standCount = customer.testStands.length; + const amount = baseRate * standCount; + + await generateInvoice(customer, amount, month); + await processPayment(customer, amount); + + return { + type: 'subscription', + amount, + customerId: customer.id, + description: `Monthly subscription for ${standCount} test stands`, + timestamp: new Date() + }; +} + +export async function calculateUsageCharges(customer: Customer, month: Date): Promise { + const usage = await getMonthlyTestVolume(customer, month); + const includedQuota = getIncludedQuota(customer.subscriptionTier); + const overage = Math.max(0, usage - includedQuota); + const rate = 0.03; // $0.03 per test over quota + + return { + type: 'usage', + amount: overage * rate, + customerId: customer.id, + description: `Usage charges for ${overage} tests over quota`, + timestamp: new Date() + }; +} + +// Operational Procedures +export async function processTestData(report: TestReport): Promise { + try { + // Normalize raw test data + const normalizedData = await normalizeTestData(report.rawData, report.testPlan); + + // Compute hydraulic KPIs + const kpis = await computeHydraulicKPIs(normalizedData); + + // Apply spec limits and make pass/fail decision + const decision = await makePassFailDecision(kpis, report.partNumber); + + // Store processed result + const result: ProcessedTestResult = { + id: generateId(), + reportId: report.id, + normalizedData, + kpis, + passFailDecision: decision.result, + reasonCodes: decision.reasonCodes, + confidence: decision.confidence + }; + + await storeProcessedResult(result); + + // If failed, trigger NCR workflow + if (result.passFailDecision === 'fail') { + await createNCR(result); + } + + return result; + + } catch (error) { + await logProcessingError(report.id, error); + throw new Error(`Failed to process test report ${report.id}: ${error.message}`); + } +} + +export async function normalizeTestData(rawData: any, testPlan: string): Promise { + const schema = await getTestPlanSchema(testPlan); + const parser = await selectDataParser(rawData.format); + const parsed = await parser.parse(rawData); + + return await applySchemaMapping(parsed, schema); +} + +export async function computeHydraulicKPIs(data: any): Promise { + return { + volumetricEfficiency: await calculateVolumetricEfficiency(data), + mechanicalEfficiency: await calculateMechanicalEfficiency(data), + overallEfficiency: await calculateOverallEfficiency(data), + leakageRate: await calculateLeakageRate(data), + pressureRipple: await calculatePressureRipple(data), + temperatureRise: await calculateTemperatureRise(data), + noiseLevel: await calculateNoiseLevel(data), + torqueSpeedCurve: await generateTorqueSpeedCurve(data) + }; +} + +// Decision-Making Workflows +export async function makePassFailDecision(kpis: HydraulicKPIs, partNumber: string): Promise { + const specLimits = await getSpecLimits(partNumber); + const ruleEngine = await initializeRuleEngine(specLimits); + + // Apply deterministic rules first + const ruleResult = await ruleEngine.evaluate(kpis); + + if (ruleResult.confidence > 0.95) { + return ruleResult; + } + + // Use ML for borderline cases + const mlModel = await getAnomalyDetectionModel(); + const mlResult = await mlModel.predict(kpis); + + return await combineRuleAndMLResults(ruleResult, mlResult); +} + +export async function manageNCR(ncr: NCR): Promise { + // Auto-classify root cause + const rootCause = await classifyRootCause(ncr); + ncr.rootCause = rootCause.category; + + // Route to appropriate team + const assignee = await routeNCR(ncr); + ncr.assignedTo = assignee; + + // Set target close date based on severity + ncr.targetCloseDate = calculateTargetCloseDate(ncr.severity); + + // Notify stakeholders + await notifyNCRStakeholders(ncr); + + // Track SLA compliance + await trackNCRSLA(ncr); + + return await updateNCR(ncr); +} + +export async function createNCR(testResult: ProcessedTestResult): Promise { + const ncr: NCR = { + id: generateId(), + testResultId: testResult.id, + severity: determineSeverity(testResult.reasonCodes), + defectCodes: testResult.reasonCodes, + rootCause: await suggestRootCause(testResult), + assignedTo: await determineAssignee(testResult), + status: 'open', + createdAt: new Date(), + targetCloseDate: new Date() + }; + + return await manageNCR(ncr); +} + +export async function optimizeOperations(customer: Customer): Promise { + const metrics = await gatherOperationalMetrics(customer); + const bottlenecks = await identifyBottlenecks(metrics); + const recommendations = await generateOptimizationRecommendations(bottlenecks); + + return await implementOptimizations(customer, recommendations); +} + +// Helper functions (referenced but not implemented) +async function calculatePainPointScore(painPoints: string[]): Promise { /* implementation */ } +async function assessTestInfrastructure(standTypes: string[]): Promise { /* implementation */ } +async function prepareDemoEnvironment(lead: Lead): Promise { /* implementation */ } +async function findAvailableSlots(timezone: string): Promise { /* implementation */ } +async function sendDemoInvitation(lead: Lead, slot: Date): Promise { /* implementation */ } +async function generateId(): string { /* implementation */ } +async function definePilotScope(lead: Lead): Promise { /* implementation */ } +async function createPilotTimeline(scope: any): Promise { /* implementation */ } +async function calculatePilotPricing(scope: any): Promise { /* implementation */ } +async function sendPilotProposal(proposal: any): Promise { /* implementation */ } +async function definePilotSuccessCriteria(scope: any): any { /* implementation */ } +async function negotiateContract(pilot: any): Promise { /* implementation */ } +async function onboardCustomer(contract: any): Promise { /* implementation */ } + +// Additional helper functions for operational workflows +async function getTestPlanSchema(testPlan: string): Promise { /* implementation */ } +async function selectDataParser(format: string): Promise { /* implementation */ } +async function applySchemaMapping(data: any, schema: any): Promise { /* implementation */ } +async function calculateVolumetricEfficiency(data: any): Promise { /* implementation */ } +async function calculateMechanicalEfficiency(data: any): Promise { /* implementation */ } +async function calculateOverallEfficiency(data: any): Promise { /* implementation */ } +async function calculateLeakageRate(data: any): Promise { /* implementation */ } +async function calculatePressureRipple(data: any): Promise { /* implementation */ } +async function calculateTemperatureRise(data: any): Promise { /* implementation */ } +async function calculateNoiseLevel(data: any): Promise { /* implementation */ } +async function generateTorqueSpeedCurve(data: any): Promise { /* implementation */ } +async function getSpecLimits(partNumber: string): Promise { /* implementation */ } +async function initializeRuleEngine(limits: any): Promise { /* implementation */ } +async function getAnomalyDetectionModel(): Promise { /* implementation */ } +async function combineRuleAndMLResults(rule: any, ml: any): Promise { /* implementation */ } +async function storeProcessedResult(result: ProcessedTestResult): Promise { /* implementation */ } +async function logProcessingError(reportId: string, error: Error): Promise { /* implementation */ } +async function classifyRootCause(ncr: NCR): Promise { /* implementation */ } +async function routeNCR(ncr: NCR): Promise { /* implementation */ } +async function calculateTargetCloseDate(severity: string): Date { /* implementation */ } +async function notifyNCRStakeholders(ncr: NCR): Promise { /* implementation */ } +async function trackNCRSLA(ncr: NCR): Promise { /* implementation */ } +async function updateNCR(ncr: NCR): Promise { /* implementation */ } +async function determineSeverity(reasonCodes: string[]): string { /* implementation */ } +async function suggestRootCause(result: ProcessedTestResult): Promise { /* implementation */ } +async function determineAssignee(result: ProcessedTestResult): Promise { /* implementation */ } +async function getSubscriptionRate(tier: string): number { /* implementation */ } +async function generateInvoice(customer: Customer, amount: number, month: Date): Promise { /* implementation */ } +async function processPayment(customer: Customer, amount: number): Promise { /* implementation */ } +async function getMonthlyTestVolume(customer: Customer, month: Date): Promise { /* implementation */ } +async function getIncludedQuota(tier: string): number { /* implementation */ } +async function billProfessionalServices(customer: Customer, month: Date): Promise { /* implementation */ } +async function gatherOperationalMetrics(customer: Customer): Promise { /* implementation */ } +async function identifyBottlenecks(metrics: any): Promise { /* implementation */ } +async function generateOptimizationRecommendations(bottlenecks: any): Promise { /* implementation */ } +async function implementOptimizations(customer: Customer, recommendations: any): Promise { /* implementation */ } +```