Project Configuration (LTM)

This file contains the stable, long-term context for the project. It should be updated infrequently, primarily when core goals, tech, or patterns change.

Core Goal

Create a desktop application for extracting SVG elements and converting them to JSON format for automation systems, particularly Ignition SCADA. The tool enables users to process SVG files with customizable configurations and export the results in a standardized format compatible with industrial automation platforms.

Tech Stack

Language: Python 3.6+
GUI Framework: Tkinter
XML Processing: lxml
Image Processing: Pillow (PIL)
Numerical Operations: NumPy
Packaging: PyInstaller
Configuration: JSON

Critical Patterns & Conventions

Architecture: Modular design with separation between GUI and processing logic
Modules:
- GUI Module: Handles user interface, configuration input, and results display
- Processing Module: Manages SVG parsing, transformation, and JSON conversion
Configuration Management: JSON-based with backward compatibility support
Element Mapping System: Label prefix-based configurations for SVG elements
Matrix Transformations: Homogeneous coordinate matrices for transform calculations
Error Handling: Global exception handling with user-friendly messages
Threading: Background processing for UI responsiveness during operations
Entry Point: app_runner.py initializes the application

Key Constraints

Cross-platform Support: Primary focus on Windows with additional support for macOS and Linux
Performance: Must efficiently process complex SVG files with multiple elements
Output Format: Must conform to Ignition SCADA JSON schema requirements
Error Recovery: Must handle malformed SVG elements gracefully
Target Users: Industrial automation engineers with varying technical expertise

Tokenization Settings

Estimation Method: Character-based
Characters Per Token (Estimate): 4

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