This project provides a set of tools for parsing, validating, and exporting Automotive Knowledge Model (AKM) data. It supports handling JSON files from specified directories, validating them against given schemas, and exporting the validated data into different formats including JSON and YAML. The functionality is encapsulated into a Python script that can be executed from the command line, offering flexibility for automation and integration into larger systems or workflows.
- Data Validation: Validate the combined data against a provided schema and optional extended schemas.
- Data Exporting: Export the validated data into various formats such as JSON and YAML. Support for GraphQL export is planned but not yet implemented.
The main functionality is accessed through the command line interface (CLI) provided by akm_validator.py. Below are the available options and their descriptions:
-
-d,--model_data_folder: Specifies the directory containing AKM model data in JSON format. Default isakm/data. -
-s,--schema: Specifies the schema file against which the data will be validated. Default isakm/schema/automotive_knowledge_model.json. -
-xs,--extended_schema_dir: Specifies the directory containing extended schema files for validation. Default isextensions/schema. -
-xd,--extended_data_dir: Specifies the directory containing extended data. Default isextensions/data. -
-e,--export_format: Specifies the format for exporting validated data. Options arejson,yaml -
-f,--export_file_path: Specifies the path for the export file. Required if--export_formatis specified.
Validate data without exporting:
python akm_tools/akm_validator.py -xd your_extended_data_folder
Export validated data to JSON:
python akm_tools/akm_validator.py -d your_model_data_folder -e json -f path/to/export.json
Validation errors are logged to validation_errors.log, aiding in troubleshooting and ensuring data quality.