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36 lines
2.1 KiB
Markdown
36 lines
2.1 KiB
Markdown
# MTG Python Deckbuilder ${VERSION}
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### Summary
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Major infrastructure upgrade: migrated to Parquet data format with comprehensive performance improvements, combo tag support, simplified data management, and instant setup via GitHub downloads.
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### What's New
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- **Instant Setup** - Download pre-tagged card database from GitHub instead of 15-20 minute initial build
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- **Parquet Migration** - Unified `all_cards.parquet` replaces multiple CSV files for faster, more efficient card storage
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- **Combo Tags** - 226 cards now tagged with combo-enabling abilities for better synergy detection
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- **Parallel Tagging** - Optional 4.2x speedup for card tagging (22s → 5.2s)
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- **Automatic Deduplication** - No more duplicate card printings cluttering your deck options
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- **Built-in Commander Filtering** - Instant identification of 2,751 commanders and 31 backgrounds
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### Improvements
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- **First-Run Experience** - Auto-downloads pre-tagged data on first run (seconds vs. 15-20 minutes)
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- **Faster Startup** - Binary columnar format loads significantly faster than text parsing
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- **Smaller File Sizes** - Single Parquet file is more compact than multiple CSVs
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- **Better Data Quality** - Automatic validation, deduplication, and type checking
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- **Cleaner Organization** - Single source of truth for all 29,857 cards
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- **Web Performance** - Card browser, commander catalog, and owned cards all benefit from faster data access
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- **Weekly Updates** - Pre-tagged data refreshed weekly via GitHub Actions
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### For Users
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Everything works the same or better! Main visible differences:
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- **First-time users**: Setup completes in seconds (auto-downloads pre-tagged data)
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- Faster load times and data operations
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- Better card recommendations with combo tag support
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- More reliable data handling
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- Web UI includes manual "Download from GitHub" button for instant refresh
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### Technical Details
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- Data stored in `card_files/processed/all_cards.parquet`
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- Boolean flags (`isCommander`, `isBackground`) replace separate CSV files
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- CLI execution: `python -m code.main`
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- Headless execution: `python -m code.headless_runner --config <path>`
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- GitHub Actions and Docker builds updated for Parquet workflow
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