A command-line toolkit for working with A2L files for ECU tuning. This toolkit helps in preparing A2L files for further processing, creates a database representation of the A2L data, exports the data to JSON format, and can generate C header files for direct memory access.

• Preprocesses A2L files to ensure compatibility
• Creates a database representation of the A2L data
• Exports A2L data to JSON format for easier processing
• Generates C header files with memory address definitions
• Command-line interface for easy integration into workflows
• Supports custom output file naming
• Includes header guards and proper C types based on variable sizes

• Python 3.6 or higher
• Required Python packages (install via pip):
  • pya2l
  • chardet

1. Clone this repository:

git clone https://github.com/yourusername/A2L-Convert.git
cd A2L-Convert

2. Install the required packages:

pip install -r requirements.txt

Basic usage:

python import-a2l.py input_file.a2l

This will create a preprocessed file with "_preprocessed" suffix in the same directory.

To specify a custom output file:

python import-a2l.py input_file.a2l -o output_file.a2l

Basic usage:

python export-json.py input_file.a2l

This will create a JSON file with the same name as the input file but with a .json extension.

To specify a custom output file:

python export-json.py input_file.a2l -o output_file.json

Basic usage:

python json_to_c-header.py input_file.json

This will create a C header file with the same name as the input file but with a .h extension.

To specify a custom output file:

python json_to_c-header.py input_file.json -o output_file.h

The generated header file includes:

• Header guards
• Proper C types based on variable sizes (uint8_t, uint16_t, etc.)
• Memory address definitions with volatile pointers
• Bit mask support for bitfield access
• Original variable descriptions as comments

For import-a2l.py:

• input_file: Path to the input A2L file (required)
• -o, --output: Path to the output preprocessed A2L file (optional)
• -h, --help: Show help message and exit

For export-json.py:

• input_file: Path to the preprocessed A2L file (required)
• -o, --output: Path to the output JSON file (optional)
• -h, --help: Show help message and exit

For json_to_c-header.py:

• input_file: Path to the input JSON file (required)
• -o, --output: Path to the output header file (optional)
• -h, --help: Show help message and exit

1. First, preprocess your A2L file:

python import-a2l.py your_file.a2l

2. Then export the data to JSON:

python export-json.py your_file_preprocessed.a2l

3. Finally, generate the C header file:

python json_to_c-header.py your_file.json

All tools include error handling for common issues:

• Missing input files
• Processing errors
• File access problems
• Database errors
• JSON parsing errors
• Invalid data types or sizes

Error messages will be displayed in the console with appropriate exit codes.

[Add your chosen license here]

Contributions are welcome! Please feel free to submit a Pull Request.