MTG Python Deckbuilder ${VERSION}

Summary

Major infrastructure upgrade: migrated to Parquet data format with comprehensive performance improvements, combo tag support, simplified data management, and instant setup via GitHub downloads.

What's New

Instant Setup - Download pre-tagged card database from GitHub instead of 15-20 minute initial build
Parquet Migration - Unified all_cards.parquet replaces multiple CSV files for faster, more efficient card storage
Combo Tags - 226 cards now tagged with combo-enabling abilities for better synergy detection
Parallel Tagging - Optional 4.2x speedup for card tagging (22s → 5.2s)
Automatic Deduplication - No more duplicate card printings cluttering your deck options
Built-in Commander Filtering - Instant identification of 2,751 commanders and 31 backgrounds

Improvements

First-Run Experience - Auto-downloads pre-tagged data on first run (seconds vs. 15-20 minutes)
Faster Startup - Binary columnar format loads significantly faster than text parsing
Smaller File Sizes - Single Parquet file is more compact than multiple CSVs
Better Data Quality - Automatic validation, deduplication, and type checking
Cleaner Organization - Single source of truth for all 29,857 cards
Web Performance - Card browser, commander catalog, and owned cards all benefit from faster data access
Weekly Updates - Pre-tagged data refreshed weekly via GitHub Actions

For Users

Everything works the same or better! Main visible differences:

First-time users: Setup completes in seconds (auto-downloads pre-tagged data)
Faster load times and data operations
Better card recommendations with combo tag support
More reliable data handling
Web UI includes manual "Download from GitHub" button for instant refresh

Technical Details

Data stored in card_files/processed/all_cards.parquet
Boolean flags (isCommander, isBackground) replace separate CSV files
CLI execution: python -m code.main
Headless execution: python -m code.headless_runner --config <path>
GitHub Actions and Docker builds updated for Parquet workflow

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