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Add TypeScript business functions to HydraSight MDX#148

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Add TypeScript business functions to HydraSight MDX#148
devin-ai-integration[bot] wants to merge 1 commit intomainfrom
devin/1723339652-hydrasight-mdx-business-processes

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Add comprehensive TypeScript business process functions to HydraSight MDX

Summary

Added a new "Business Process Functions" section to the HydraSight MDX file containing ~500 lines of TypeScript code that represents the core business workflows for HydraSight's fluid power testing automation platform. The implementation includes:

  • Customer acquisition workflows - acquireCustomer(), qualifyLead(), generateProposal(), negotiateContract(), onboardCustomer()
  • Product development processes - developMLModel(), extractPhysicsInformedFeatures(), trainAnomalyModel(), validateModel()
  • Revenue generation flows - generateRevenue(), calculateSubscriptionRevenue(), processSubscriptionRenewal()
  • Operational procedures - deployTestStand(), monitorSystemHealth(), validateTestStandRequirements()
  • Decision-making workflows - processTestResults(), makeQualityDecision(), detectAnomalies()

The code includes detailed TypeScript interfaces for Lead, Customer, TestStand, MLModel, Revenue, and other domain objects, with async/await patterns and error handling throughout.

Review & Testing Checklist for Human

  • Verify MDX file renders correctly - Check that the large TypeScript code blocks don't break the MDX rendering or cause syntax highlighting issues
  • Validate business logic alignment - Confirm the implemented workflows actually match HydraSight's real business processes, not just assumptions from the lean canvas
  • Review TypeScript syntax - Ensure all function signatures, interfaces, and type definitions are syntactically correct
  • Check physics-informed features - Verify that the fluid power system features (cavitation detection, bearing wear analysis, etc.) are realistic for the domain
  • Confirm scope appropriateness - Determine if 500+ lines of placeholder TypeScript code is what was actually requested

Recommended test plan: Load the MDX file in the application to ensure it renders properly and the TypeScript code blocks display correctly without breaking the page layout.


Diagram

%%{ init : { "theme" : "default" }}%%
flowchart TD
    StartupsMDX["startups/hydrasight.mdx"]:::major-edit
    YAMLFrontmatter["YAML Frontmatter<br/>(Lean Canvas Data)"]:::context
    BusinessFunctions["Business Process Functions<br/>(New TypeScript Section)"]:::major-edit
    
    StartupsMDX --> YAMLFrontmatter
    StartupsMDX --> BusinessFunctions
    
    BusinessFunctions --> CustomerAcq["Customer Acquisition<br/>Functions"]:::major-edit
    BusinessFunctions --> ProductDev["Product Development<br/>Functions"]:::major-edit
    BusinessFunctions --> Revenue["Revenue Generation<br/>Functions"]:::major-edit
    BusinessFunctions --> Operations["Operational<br/>Procedures"]:::major-edit
    BusinessFunctions --> DecisionMaking["Decision-Making<br/>Workflows"]:::major-edit
    
    subgraph Legend
        L1["Major Edit"]:::major-edit
        L2["Minor Edit"]:::minor-edit
        L3["Context/No Edit"]:::context
    end
    
    classDef major-edit fill:#90EE90
    classDef minor-edit fill:#87CEEB
    classDef context fill:#FFFFFF
Loading

Notes

⚠️ Important: All TypeScript functions are placeholder/pseudocode implementations. The physics-informed algorithms, signal processing, and ML model training contain only comments, not actual working code. This represents the business process structure rather than functional implementation.

The business logic is based on the provided lean canvas data for HydraSight's fluid power pump & motor manufacturing focus (NAICS 333996), but should be validated against actual requirements.

Session requested by: Nathan
Devin session: https://app.devin.ai/sessions/5d543c7a329549f39a8dfec82e3ac7fc

… MDX

- Customer acquisition workflows (acquireCustomer, qualifyLead, generateProposal)
- Product development processes (developMLModel, extractPhysicsInformedFeatures)
- Revenue generation flows (generateRevenue, processSubscriptionRenewal)
- Operational procedures (deployTestStand, monitorSystemHealth)
- Decision-making workflows (processTestResults, makeQualityDecision)
- Physics-informed features for fluid power systems (cavitation, leakage, bearing wear)
- Well-typed interfaces for Lead, Customer, TestStand, MLModel, Revenue
- Async/await patterns with proper error handling
- Realistic business logic based on lean canvas data

Co-Authored-By: unknown <>
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