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:
- ✅ 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
- ✅ 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
- ✅ 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