String T V 3 - a monster

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In order for AI to work with string T v3.. we need to split it up to maybe 3 or 4 classes and then maybe anthropic can fit it into projects… does it need to be this big a class and all in one module.. monster power house class that is perfect for document management and file name replacement and date searches ect.

processing go pro data , ect..fit files…

then we can bind to it..

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AI Suggested Split:

1. StringTheoryCore

  • Basic string operations: Append, Prepend, Insert, Replace, Slice, SetValue
  • Memory management: Malloc, SetLength, Capacity, Free
  • Core properties: value, valueptr, Length, Clip operations
  • Basic searching: Instring, FindChar, FindByte, Count

2. StringTheoryEncoding

  • All encoding/decoding: Base64, Base32, Hex, URL, JSON, XML, CSV
  • Binary operations: ToBytes, FromBytes, SetBytes, GetBytes
  • Compression: Gzip, Gunzip
  • Endian operations: BigEndian, LittleEndian, SwitchEndian

3. StringTheoryIO

  • File operations: LoadFile, SaveFile, Stream, Flush
  • File utilities: FileNameOnly, PathOnly, FileSize
  • BOM handling: SetEncodingFromBOM, AddBOM
  • Error handling: ErrorTrap, LastError, FormatMessage

4. StringTheoryText

  • Text processing: Split, Join, Upper, Lower, Trim, Clip
  • Unicode conversion: UTF8/16/ANSI conversion methods
  • Word operations: GetWord, CountWords, WordStart, WordEnd
  • Pattern matching: Match, FindMatch, regular expressions
  • Formatting: FormatValue, FormatTime, line operations
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I expect the AI limitations will be lifted in the not too distant future. So I’m probably not going to make sweeping architectural changes based on that.

Personally I prefer monolithic classes that “do everything”. They are easier to ue because I don’t have to keep remembering which class which function is in. Plus I’m not limited with regard to which methods can use which other methods. Or which methods are available in this class, but not that class and so on.

2 Likes
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with the Linux binding service machine software running inside clarion win32 now or your clarion win 32 DLL loaded as an Add on as a full client bindable service what can AI do with ST V3 - M…M stand now for Modules as we have split STV3… well AI now thinks it can built the following and has blurted out the clarion classes to do it plus create a bindable for Window and Linux to load it solution to git hub.. to big to show here but here is it summary …

StringTheory Advantages for REST/OAuth 2

  1. URL Handling: Built-in URL encoding/decoding and parsing
  2. JSON Processing: Native JSON encode/decode capabilities
  3. Base64 Support: Essential for OAuth 2 Basic Authentication
  4. String Manipulation: Powerful parsing for HTTP headers and responses
  5. Memory Efficient: Reference-counted string management
  6. Unicode Support: Full UTF-8/UTF-16 handling for international APIs

Conclusion

With StringTheory added to the project, the Clarion WinSock module becomes a fully capable REST API and OAuth 2 client platform. The combination provides:

  • Complete HTTP Protocol Stack: Request building and response parsing
  • OAuth 2 Flow Support: Client Credentials, Authorization Code, and Refresh Token flows
  • JSON API Integration: Full request/response handling
  • Enterprise Security: Bearer token management and Basic Authentication
  • Production Ready: Built on robust QuickSocket networking foundation

The StringTheory + QuickSocket combination creates a powerful, enterprise-grade REST API client that can compete with any modern HTTP client library while maintaining native Clarion integration.

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