CS:GO Medal Parser

A high-performance Python application for parsing and downloading CS:GO medals, coins, pins, and badges from the ByMykel CSGO API.

Features

• High-Performance Processing: Concurrent downloads with configurable worker threads
• Intelligent Caching: Avoids redundant downloads and validates existing images
• Automatic Image Processing: Standardizes images to 256×192 resolution with aspect ratio preservation
• Robust Network Handling: Connection pooling, retry logic, and timeout management
• Advanced Logging: Beautiful structured logging with loguru for enhanced debugging and monitoring
• Flexible Configuration: Easily customizable settings via config.py

Quick Start

Installation

git clone https://github.com/tom-jm69/cs-medal-parser.git
cd cs-medal-parser
python -m pip install -r requirements.txt

Usage

python main.py

Output files:

• Images: data/medals/*.png (processed collectible images)
• API Dumps: data/responses/*.json (timestamped API responses)
• Logs: Beautiful console output with loguru (with optional file logging)

Configuration

Customize behavior in config.py:

# Performance settings
MAX_WORKERS = 10          # Concurrent download threads
REQUEST_TIMEOUT = 30      # Network timeout (seconds)
MAX_RETRIES = 3          # Retry attempts for failed requests

# Image processing
TARGET_WIDTH = 256       # Output image width
TARGET_HEIGHT = 192      # Output image height

# Filter types
COLLECTIBLE_TYPES = ["pick", "coin", "medal", "pin", "trophy", "badge", "pass", "stars"]

Docker Deployment

Pre-built Images (Recommended)

Pull the optimized multi-stage image from Docker Hub:

# Pull latest version
docker pull kway/cs-medal-parser:latest

# Run directly
docker run --rm -v $(pwd)/data:/app/data kway/cs-medal-parser:latest

Build Locally

docker build -t cs-medal-parser .
docker run --rm -v $(pwd)/data:/app/data cs-medal-parser

Docker Compose

docker compose up

Automated Builds

🚀 Automated Docker Hub builds are configured via GitHub Actions:

• Any push: Builds and pushes branch-specific tags
• Main branch: Also gets the latest tag
• Multi-platform: Supports linux/amd64 and linux/arm64
• Optimized: 60-70% smaller images using multi-stage builds

See Docker Setup Guide for configuration details.

Automated Scheduling

Cron job for 15-minute updates:

*/15 * * * * docker compose -f /path/to/cs-medal-parser/docker-compose.yml run --rm cs2medalparser >> /var/log/medalparser.log 2>&1

Testing

# Test regex filtering on cached data
python test-re.py

Performance

• Concurrent Processing: ~10x faster image downloads vs sequential approach
• Smart Resource Management: Connection pooling and request optimization
• Failure Resilience: Automatic retries with exponential backoff
• Progress Monitoring: Real-time status updates and completion statistics

API

This project uses the ByMykel CSGO API for collectible data.
Documentation: https://bymykel.github.io/CSGO-API/

Requirements

• Python 3.12+
• loguru (for beautiful structured logging)
• Additional dependencies listed in requirements.txt

License

GPL-3.0 License - see LICENSE file for details.