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Some auxiliary functions for parsing standard submodels

Project description

aas-standard-parser

aas_http_client

License: MIT CI PyPI version

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.

Note: 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.


Provided Parsers

  • AID Parser: Parses AID submodels to extract interface descriptions, properties, and security/authentication details.
  • AIMC Parser: Parses AIMC submodels to extract and process mapping configurations and source-sink relations.
  • AAS Parser: Utilities to extract submodel IDs from an Asset Administration Shell.
  • Submodel Parser: Helpers to retrieve submodel elements by semantic ID or by path within a submodel.

Helper Modules

  • Collection Helpers: Functions to search and filter submodel elements by semantic ID, idShort, or supplemental semantic ID within collections.
  • Reference Helpers: Utilities for working with references, such as constructing idShort paths and extracting values from reference keys.
  • Utilities: General utility functions, including loading a submodel from a file.

API References

Resources

🤖 Releases

📦 Pypi Packages

📜 MIT License

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