aas-standard-parser 0.6.4

Some auxiliary functions for parsing standard submodels

AAS standard Parser

This project provides tools for parsing and handling Asset Administration Shell (AAS) standard submodels, with a focus on AID and AIMC submodels. It enables:

• Extraction, interpretation, and mapping of submodel elements and their properties
• Working with references, semantic IDs, and submodel element collections
• Representation and processing of mapping configurations and source-sink relations
• Structured and colored logging, including log file management

These components enable efficient parsing, transformation, and analysis of AAS submodels in Python-based workflows.

Notes:

• Most functions in this project utilize the python aas sdk framework for parsing and handling AAS submodels, ensuring compatibility with the official AAS data models and structures.

Table of Contents:

• AAS standard Parser
  • 🚀 Features
    • Comprehensive AAS Submodel Parsing
    • Core Parsers
    • Utility Functions
  • 📚 Resources

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🚀 Features

Comprehensive AAS Submodel Parsing

• ✅ Parse and extract data from AAS structures, with specialized support for AID and AIMC submodels
• ✅ Navigate hierarchical submodel elements using intuitive dot-separated paths and indexed access
• ✅ Extract endpoint metadata, interface properties, authentication details, and mapping configurations

Core Parsers

• ✅ AAS Parser: Retrieve submodel IDs and references from Asset Administration Shell structures
• ✅ Submodel Parser: Access nested elements by idShort path with support for SubmodelElementLists and Collections
• ✅ AID Parser: Extract interface descriptions, properties, protocol bindings, and authentication details
• ✅ AIMC Parser: Parse mapping configurations and source-sink relations between interfaces

Utility Functions

• ✅ Collection and reference helpers for semantic ID matching, filtering, and key extraction
• ✅ Load and validate submodels from JSON files with error handling
• ✅ Structured JSON logging with colored console output

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📚 Resources

📘 Documentation

📝 Changelog

🤖 GitHub Releases

📦 Pypi Packages

📜 MIT License

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