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https://github.com/mwisnowski/mtg_python_deckbuilder.git
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cfcc01db85
- Include/exclude cards feature complete with 300+ card knowledge base and intelligent fuzzy matching - Enhanced visual validation with warning icons and performance benchmarks (100% pass rate) - Mobile responsive design with bottom-floating controls, two-column layout, and horizontal scroll prevention - Dark theme confirmation modal for fuzzy matches with card preview and alternatives - Dual architecture support for web UI staging system and CLI direct build paths - All M3 checklist items completed: fuzzy match modal, enhanced algorithm, summary panel, mobile responsive, Playwright tests
35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
#!/usr/bin/env python3
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"""Debug what specific Lightning/Bolt cards exist"""
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import pandas as pd
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cards_df = pd.read_csv('csv_files/cards.csv')
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print("=== Lightning cards that start with 'Light' ===")
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lightning_prefix = cards_df[cards_df['name'].str.lower().str.startswith('lightning', na=False)]['name'].unique()
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for card in sorted(lightning_prefix):
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print(f" - {card}")
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print(f"\n=== Cards containing 'bolt' ===")
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bolt_cards = cards_df[cards_df['name'].str.contains('bolt', case=False, na=False)]['name'].unique()
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for card in sorted(bolt_cards):
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print(f" - {card}")
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print(f"\n=== Cards containing 'warp' ===")
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warp_cards = cards_df[cards_df['name'].str.contains('warp', case=False, na=False)]['name'].unique()
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for card in sorted(warp_cards):
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print(f" - {card}")
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print(f"\n=== Manual test of 'lightn' against Lightning cards ===")
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test_input = "lightn"
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lightning_scores = []
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from difflib import SequenceMatcher
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for card in lightning_prefix:
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score = SequenceMatcher(None, test_input.lower(), card.lower()).ratio()
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lightning_scores.append((score, card))
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lightning_scores.sort(key=lambda x: x[0], reverse=True)
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print("Top Lightning matches for 'lightn':")
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for score, card in lightning_scores[:5]:
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print(f" {score:.3f} - {card}")
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