pyxctsk 0.1.0

Python implementation of XCTrack's task format

pyxctsk - Python implementation of XCTrack's task format

A comprehensive Python ecosystem for parsing, analyzing, and visualizing XCTrack task files and formats.

This repository contains the core module:

• xctrack - Core library for parsing and manipulating XCTrack task files

Modules Overview

pyxctsk Core (src/pyxctsk/)

The core Python library providing:

• Reading and writing .xctsk task files (JSON format)
• Generating and parsing XCTSK: URLs for task sharing
• Creating and decoding QR codes containing task data
• Converting tasks to KML format for visualization
• Command-line interface for format conversion

Installation

Core Library Only

pip install pyxctsk

Development Installation

Setting up Virtual Environment

git clone https://github.com/simonsteiner/pyxctsk.git
cd pyxctsk

# Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate
# in subfolder use this command
source /home/simon/git/pyxctsk/venv/bin/activate

# Install core library in development mode with dev dependencies
pip install -e ".[dev]"

Development Workflow

Once your virtual environment is set up:

# Format code before committing
black src/ tests/
isort src/ tests/

# Run linting
flake8 src/ tests/

# Run type checking
mypy src/

# Run tests
pytest

# Deactivate when done
deactivate

Verification

# Test that pyxctsk is properly installed
pyxctsk --help

# Run tests to ensure everything works
pytest

# Check code quality tools are available
black --version
isort --version
flake8 --version
mypy --version

Quick Start

Core Library Usage

from pyxctsk import parse_task

# From file
task = parse_task('my_task.xctsk')

# From XCTSK: URL
task = parse_task('XCTSK:{"version":1,"taskType":"CLASSIC",...}')

# From QR code image (requires pyzbar and PIL)
task = parse_task('qr_code.png')

print(f"Task type: {task.task_type}")
print(f"Number of turnpoints: {len(task.turnpoints)}")

Command Line Tools

Core XCTrack CLI:

# Convert task file to JSON
pyxctsk convert task.xctsk --format json

# Generate QR code
pyxctsk convert task.xctsk --format png --output qr.png

Creating a task

from pyxctsk import Task, TaskType, Turnpoint, Waypoint

task = Task(
    task_type=TaskType.CLASSIC,
    version=1,
    turnpoints=[
        Turnpoint(
            radius=1000,
            waypoint=Waypoint(
                name="TP01",
                lat=46.5,
                lon=8.0,
                alt_smoothed=1000
            )
        )
    ]
)

# Save as JSON
with open('task.xctsk', 'w') as f:
    f.write(task.to_json())

QR Code Generation

from pyxctsk.utils import generate_qr_code

# Convert task to QR code format and generate image
qr_task = task.to_qr_code_task()
qr_string = qr_task.to_string()
qr_image = generate_qr_code(qr_string)
qr_image.save('task_qr.png')

KML Export

from pyxctsk.utils import task_to_kml

kml_content = task_to_kml(task)
with open('task.kml', 'w') as f:
    f.write(kml_content)

Command Line Interface

The package includes a command-line tool for format conversion:

# Convert task to different formats
python -m pyxctsk task.xctsk --format json        # JSON output
python -m pyxctsk task.xctsk --format kml         # KML output  
python -m pyxctsk task.xctsk --format qrcode-json # XCTSK: URL
python -m pyxctsk task.xctsk --format png -o qr.png # QR code image

# Parse from different inputs
python -m pyxctsk qr_code.png --format json       # From QR image
cat task.xctsk | python -m pyxctsk --format kml   # From stdin

Requirements

• Python 3.8+
• Click (for CLI)
• Optional QR code support:
  • Pillow (PIL) for image generation
  • qrcode for QR code generation
  • pyzbar for QR code reading from images

Data Structures

The library provides comprehensive data classes for XCTrack task components:

• Task: Main task container
• Turnpoint: Individual waypoints with radius and type information
• Waypoint: Geographic coordinates and metadata
• SSS: Start of speed section configuration
• Goal: Goal/finish line configuration
• Takeoff: Takeoff location
• TimeOfDay: Time representation with validation

All classes support JSON serialization/deserialization and maintain compatibility with the XCTrack file format.

License

This project is licensed under the MIT License - see the LICENSE file for details.

AI-Assisted Migration

This Python implementation was migrated from the original Go codebase with the assistance of GitHub Copilot. The migration process involved:

• AI Model: Claude 4 Sonnet (via GitHub Copilot Chat)
• Migration Approach: Automated code analysis and conversion with human oversight
• Process: Complete rewrite maintaining API compatibility and feature parity
• Validation: Comprehensive testing against XCTrack Competition Interfaces specification
• Quality Assurance: Manual verification of all core functionality and edge cases

The AI assistant analyzed the Go source code structure, understood the XCTrack protocol specifications, and generated equivalent Python implementations while ensuring compatibility with the original format and adding modern Python idioms and type hints.

Original Go Implementation

This Python library is based on the Go implementation by Tom Payne: https://github.com/twpayne/go-xctrack