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

🚀 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

📚 Resources

📘 Documentation

📝 Changelog

🤖 GitHub Releases

📦 Pypi Packages

📜 MIT License