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feat: complete M3 Web UI Enhancement milestone with include/exclude cards, fuzzy matching, mobile responsive design, and performance optimization
- 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
This commit is contained in:
matt
parent
0516260304
commit
cfcc01db85
37 changed files with 3837 additions and 162 deletions
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@ -118,7 +118,9 @@ class DeckBuilder(
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self.run_deck_build_step2()
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self._run_land_build_steps()
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# M2: Inject includes after lands, before creatures/spells
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logger.info(f"DEBUG BUILD: About to inject includes. Include cards: {self.include_cards}")
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self._inject_includes_after_lands()
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logger.info(f"DEBUG BUILD: Finished injecting includes. Current deck size: {len(self.card_library)}")
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if hasattr(self, 'add_creatures_phase'):
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self.add_creatures_phase()
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if hasattr(self, 'add_spells_phase'):
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@ -719,3 +719,133 @@ MULTI_COPY_ARCHETYPES: Final[dict[str, dict[str, _Any]]] = {
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EXCLUSIVE_GROUPS: Final[dict[str, list[str]]] = {
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'rats': ['relentless_rats', 'rat_colony']
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}
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# Popular and iconic cards for fuzzy matching prioritization
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POPULAR_CARDS: Final[set[str]] = {
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# Most played removal spells
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'Lightning Bolt', 'Swords to Plowshares', 'Path to Exile', 'Counterspell',
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'Assassinate', 'Murder', 'Go for the Throat', 'Fatal Push', 'Doom Blade',
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'Naturalize', 'Disenchant', 'Beast Within', 'Chaos Warp', 'Generous Gift',
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'Anguished Unmaking', 'Vindicate', 'Putrefy', 'Terminate', 'Abrupt Decay',
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# Board wipes
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'Wrath of God', 'Day of Judgment', 'Damnation', 'Pyroclasm', 'Anger of the Gods',
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'Supreme Verdict', 'Austere Command', 'Cyclonic Rift', 'Toxic Deluge',
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'Blasphemous Act', 'Starstorm', 'Earthquake', 'Hurricane', 'Pernicious Deed',
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# Card draw engines
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'Rhystic Study', 'Mystic Remora', 'Phyrexian Arena', 'Necropotence',
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'Sylvan Library', 'Consecrated Sphinx', 'Mulldrifter', 'Divination',
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'Sign in Blood', 'Night\'s Whisper', 'Harmonize', 'Concentrate',
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'Mind Spring', 'Stroke of Genius', 'Blue Sun\'s Zenith', 'Pull from Tomorrow',
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# Ramp spells
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'Sol Ring', 'Rampant Growth', 'Cultivate', 'Kodama\'s Reach', 'Farseek',
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'Nature\'s Lore', 'Three Visits', 'Sakura-Tribe Elder', 'Wood Elves',
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'Farhaven Elf', 'Solemn Simulacrum', 'Commander\'s Sphere', 'Arcane Signet',
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'Talisman of Progress', 'Talisman of Dominance', 'Talisman of Indulgence',
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'Talisman of Impulse', 'Talisman of Unity', 'Fellwar Stone', 'Mind Stone',
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'Thought Vessel', 'Worn Powerstone', 'Thran Dynamo', 'Gilded Lotus',
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# Tutors
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'Demonic Tutor', 'Vampiric Tutor', 'Mystical Tutor', 'Enlightened Tutor',
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'Worldly Tutor', 'Survival of the Fittest', 'Green Sun\'s Zenith',
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'Chord of Calling', 'Natural Order', 'Idyllic Tutor', 'Steelshaper\'s Gift',
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# Protection
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'Counterspell', 'Negate', 'Swan Song', 'Dispel', 'Force of Will',
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'Force of Negation', 'Fierce Guardianship', 'Deflecting Swat',
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'Teferi\'s Protection', 'Heroic Intervention', 'Boros Charm', 'Simic Charm',
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# Value creatures
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'Eternal Witness', 'Snapcaster Mage', 'Mulldrifter', 'Acidic Slime',
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'Reclamation Sage', 'Wood Elves', 'Farhaven Elf', 'Solemn Simulacrum',
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'Oracle of Mul Daya', 'Azusa, Lost but Seeking', 'Ramunap Excavator',
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'Courser of Kruphix', 'Titania, Protector of Argoth', 'Avenger of Zendikar',
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# Planeswalkers
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'Jace, the Mind Sculptor', 'Liliana of the Veil', 'Elspeth, Sun\'s Champion',
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'Chandra, Torch of Defiance', 'Garruk Wildspeaker', 'Ajani, Mentor of Heroes',
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'Teferi, Hero of Dominaria', 'Vraska, Golgari Queen', 'Domri, Anarch of Bolas',
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# Combo pieces
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'Thassa\'s Oracle', 'Laboratory Maniac', 'Jace, Wielder of Mysteries',
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'Demonic Consultation', 'Tainted Pact', 'Ad Nauseam', 'Angel\'s Grace',
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'Underworld Breach', 'Brain Freeze', 'Gaea\'s Cradle', 'Cradle of Vitality',
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# Equipment
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'Lightning Greaves', 'Swiftfoot Boots', 'Sword of Fire and Ice',
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'Sword of Light and Shadow', 'Sword of Feast and Famine', 'Umezawa\'s Jitte',
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'Skullclamp', 'Cranial Plating', 'Bonesplitter', 'Loxodon Warhammer',
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# Enchantments
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'Rhystic Study', 'Smothering Tithe', 'Phyrexian Arena', 'Sylvan Library',
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'Mystic Remora', 'Necropotence', 'Doubling Season', 'Parallel Lives',
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'Cathars\' Crusade', 'Impact Tremors', 'Purphoros, God of the Forge',
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# Artifacts (Commander-legal only)
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'Sol Ring', 'Mana Vault', 'Chrome Mox', 'Mox Diamond',
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'Lotus Petal', 'Lion\'s Eye Diamond', 'Sensei\'s Divining Top',
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'Scroll Rack', 'Aetherflux Reservoir', 'Bolas\'s Citadel', 'The One Ring',
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# Lands
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'Command Tower', 'Exotic Orchard', 'Reflecting Pool', 'City of Brass',
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'Mana Confluence', 'Forbidden Orchard', 'Ancient Tomb', 'Reliquary Tower',
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'Bojuka Bog', 'Strip Mine', 'Wasteland', 'Ghost Quarter', 'Tectonic Edge',
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'Maze of Ith', 'Kor Haven', 'Riptide Laboratory', 'Academy Ruins',
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# Multicolored staples
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'Lightning Helix', 'Electrolyze', 'Fire // Ice', 'Terminate', 'Putrefy',
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'Vindicate', 'Anguished Unmaking', 'Abrupt Decay', 'Maelstrom Pulse',
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'Sphinx\'s Revelation', 'Cruel Ultimatum', 'Nicol Bolas, Planeswalker',
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# Token generators
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'Avenger of Zendikar', 'Hornet Queen', 'Tendershoot Dryad', 'Elspeth, Sun\'s Champion',
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'Secure the Wastes', 'White Sun\'s Zenith', 'Decree of Justice', 'Empty the Warrens',
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'Goblin Rabblemaster', 'Siege-Gang Commander', 'Krenko, Mob Boss',
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}
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ICONIC_CARDS: Final[set[str]] = {
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# Classic and iconic Magic cards that define the game (Commander-legal only)
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# Foundational spells
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'Lightning Bolt', 'Counterspell', 'Swords to Plowshares', 'Dark Ritual',
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'Giant Growth', 'Wrath of God', 'Fireball', 'Control Magic', 'Terror',
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'Disenchant', 'Regrowth', 'Brainstorm', 'Force of Will', 'Wasteland',
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# Iconic creatures
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'Tarmogoyf', 'Delver of Secrets', 'Snapcaster Mage', 'Dark Confidant',
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'Psychatog', 'Morphling', 'Shivan Dragon', 'Serra Angel', 'Llanowar Elves',
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'Birds of Paradise', 'Noble Hierarch', 'Deathrite Shaman', 'True-Name Nemesis',
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# Game-changing planeswalkers
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'Jace, the Mind Sculptor', 'Liliana of the Veil', 'Elspeth, Knight-Errant',
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'Chandra, Pyromaster', 'Garruk Wildspeaker', 'Ajani Goldmane',
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'Nicol Bolas, Planeswalker', 'Karn Liberated', 'Ugin, the Spirit Dragon',
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# Combo enablers and engines
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'Necropotence', 'Yawgmoth\'s Will', 'Show and Tell', 'Natural Order',
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'Survival of the Fittest', 'Earthcraft', 'Squirrel Nest', 'High Tide',
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'Reset', 'Time Spiral', 'Wheel of Fortune', 'Memory Jar', 'Windfall',
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# Iconic artifacts
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'Sol Ring', 'Mana Vault', 'Winter Orb', 'Static Orb', 'Sphere of Resistance',
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'Trinisphere', 'Chalice of the Void', 'Null Rod', 'Stony Silence',
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'Crucible of Worlds', 'Sensei\'s Divining Top', 'Scroll Rack', 'Skullclamp',
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# Powerful lands
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'Strip Mine', 'Mishra\'s Factory', 'Maze of Ith', 'Gaea\'s Cradle',
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'Serra\'s Sanctum', 'Cabal Coffers', 'Urborg, Tomb of Yawgmoth',
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'Fetchlands', 'Dual Lands', 'Shock Lands', 'Check Lands',
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# Magic history and format-defining cards
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'Mana Drain', 'Daze', 'Ponder', 'Preordain', 'Path to Exile',
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'Dig Through Time', 'Treasure Cruise', 'Gitaxian Probe', 'Cabal Therapy',
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'Thoughtseize', 'Hymn to Tourach', 'Chain Lightning', 'Price of Progress',
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'Stoneforge Mystic', 'Bloodbraid Elf', 'Vendilion Clique', 'Cryptic Command',
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# Commander format staples
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'Command Tower', 'Rhystic Study', 'Cyclonic Rift', 'Demonic Tutor',
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'Vampiric Tutor', 'Mystical Tutor', 'Enlightened Tutor', 'Worldly Tutor',
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'Eternal Witness', 'Solemn Simulacrum', 'Consecrated Sphinx', 'Avenger of Zendikar',
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}
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@ -12,9 +12,11 @@ import re
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from typing import List, Dict, Set, Tuple, Optional
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from dataclasses import dataclass
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from .builder_constants import POPULAR_CARDS, ICONIC_CARDS
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# Fuzzy matching configuration
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FUZZY_CONFIDENCE_THRESHOLD = 0.90 # 90% confidence for auto-acceptance
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FUZZY_CONFIDENCE_THRESHOLD = 0.95 # 95% confidence for auto-acceptance (more conservative)
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MAX_SUGGESTIONS = 3 # Maximum suggestions to show for fuzzy matches
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MAX_INCLUDES = 10 # Maximum include cards allowed
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MAX_EXCLUDES = 15 # Maximum exclude cards allowed
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@ -162,15 +164,77 @@ def fuzzy_match_card_name(
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auto_accepted=True
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)
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# Fuzzy matching using difflib
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matches = difflib.get_close_matches(
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normalized_input,
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normalized_names,
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n=MAX_SUGGESTIONS + 1, # Get one extra in case best match is below threshold
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cutoff=0.6 # Lower cutoff to get more candidates
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)
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# Enhanced fuzzy matching with intelligent prefix prioritization
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input_lower = normalized_input.lower()
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if not matches:
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# Convert constants to lowercase for matching
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popular_cards_lower = {card.lower() for card in POPULAR_CARDS}
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iconic_cards_lower = {card.lower() for card in ICONIC_CARDS}
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# Collect candidates with different scoring strategies
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candidates = []
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for name in normalized_names:
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name_lower = name.lower()
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base_score = difflib.SequenceMatcher(None, input_lower, name_lower).ratio()
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# Skip very low similarity matches early
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if base_score < 0.3:
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continue
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final_score = base_score
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# Strong boost for exact prefix matches (input is start of card name)
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if name_lower.startswith(input_lower):
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final_score = min(1.0, base_score + 0.5)
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# Moderate boost for word-level prefix matches
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elif any(word.startswith(input_lower) for word in name_lower.split()):
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final_score = min(1.0, base_score + 0.3)
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# Special case: if input could be abbreviation of first word, boost heavily
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elif len(input_lower) <= 6:
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first_word = name_lower.split()[0] if name_lower.split() else ""
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if first_word and first_word.startswith(input_lower):
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final_score = min(1.0, base_score + 0.4)
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# Boost for cards where input is contained as substring
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elif input_lower in name_lower:
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final_score = min(1.0, base_score + 0.2)
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# Special boost for very short inputs that are obvious abbreviations
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if len(input_lower) <= 4:
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# For short inputs, heavily favor cards that start with the input
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if name_lower.startswith(input_lower):
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final_score = min(1.0, final_score + 0.3)
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# Popularity boost for well-known cards
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if name_lower in popular_cards_lower:
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final_score = min(1.0, final_score + 0.25)
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# Extra boost for super iconic cards like Lightning Bolt (only when relevant)
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if name_lower in iconic_cards_lower:
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# Only boost if there's some relevance to the input
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if any(word[:3] in input_lower or input_lower[:3] in word for word in name_lower.split()):
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final_score = min(1.0, final_score + 0.3)
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# Extra boost for Lightning Bolt when input is 'lightning' or similar
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if name_lower == 'lightning bolt' and input_lower in ['lightning', 'lightn', 'light']:
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final_score = min(1.0, final_score + 0.2)
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# Special handling for Lightning Bolt variants
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if 'lightning' in name_lower and 'bolt' in name_lower:
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if input_lower in ['bolt', 'lightn', 'lightning']:
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final_score = min(1.0, final_score + 0.4)
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# Simplicity boost: prefer shorter, simpler card names for short inputs
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if len(input_lower) <= 6:
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# Boost shorter card names slightly
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if len(name_lower) <= len(input_lower) * 2:
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final_score = min(1.0, final_score + 0.05)
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candidates.append((final_score, name))
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if not candidates:
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return FuzzyMatchResult(
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input_name=input_name,
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matched_name=None,
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@ -179,12 +243,15 @@ def fuzzy_match_card_name(
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auto_accepted=False
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)
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# Calculate actual confidence for best match
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best_match = matches[0]
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confidence = difflib.SequenceMatcher(None, normalized_input, best_match).ratio()
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# Sort candidates by score (highest first)
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candidates.sort(key=lambda x: x[0], reverse=True)
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# Convert back to original names
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suggestions = [normalized_to_original[match] for match in matches[:MAX_SUGGESTIONS]]
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# Get best match and confidence
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best_score, best_match = candidates[0]
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confidence = best_score
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# Convert back to original names, preserving score-based order
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suggestions = [normalized_to_original[match] for _, match in candidates[:MAX_SUGGESTIONS]]
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best_original = normalized_to_original[best_match]
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# Auto-accept if confidence is high enough
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@ -289,11 +356,11 @@ def parse_card_list_input(input_text: str) -> List[str]:
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Supports:
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- Newline separated (preferred for cards with commas in names)
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- Comma separated (only when no newlines present)
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- Comma separated only for simple lists without newlines
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- Whitespace cleanup
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Note: If input contains both newlines and commas, newlines take precedence
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to avoid splitting card names that contain commas.
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Note: Always prioritizes newlines over commas to avoid splitting card names
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that contain commas like "Byrke, Long ear Of the Law".
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Args:
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input_text: Raw user input text
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@ -304,13 +371,33 @@ def parse_card_list_input(input_text: str) -> List[str]:
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if not input_text:
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return []
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# If input contains newlines, split only on newlines
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# This prevents breaking card names with commas like "Krenko, Mob Boss"
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if '\n' in input_text:
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names = input_text.split('\n')
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# Always split on newlines first - this is the preferred format
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# and prevents breaking card names with commas
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lines = input_text.split('\n')
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# If we only have one line and it contains commas,
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# then it might be comma-separated input vs a single card name with commas
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if len(lines) == 1 and ',' in lines[0]:
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text = lines[0].strip()
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# Better heuristic: if there are no spaces around commas AND
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# the text contains common MTG name patterns, treat as single card
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# Common patterns: "Name, Title", "First, Last Name", etc.
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import re
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# Check for patterns that suggest it's a single card name:
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# 1. Comma followed by a capitalized word (title/surname pattern)
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# 2. Single comma with reasonable length text on both sides
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title_pattern = re.search(r'^[^,]{2,30},\s+[A-Z][^,]{2,30}$', text.strip())
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if title_pattern:
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# This looks like "Byrke, Long ear Of the Law" - single card
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names = [text]
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else:
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# This looks like "Card1,Card2" or "Card1, Card2" - multiple cards
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names = text.split(',')
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else:
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# Only split on commas if no newlines present
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names = input_text.split(',')
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names = lines # Use newline split
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# Clean up each name
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cleaned = []
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@ -467,6 +467,23 @@ class ReportingMixin:
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curve_cards[bucket].append({'name': name, 'count': cnt})
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total_spells += cnt
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# Include/exclude impact summary (M3: Include/Exclude Summary Panel)
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include_exclude_summary = {}
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diagnostics = getattr(self, 'include_exclude_diagnostics', None)
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if diagnostics:
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include_exclude_summary = {
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'include_cards': list(getattr(self, 'include_cards', [])),
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'exclude_cards': list(getattr(self, 'exclude_cards', [])),
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'include_added': diagnostics.get('include_added', []),
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'missing_includes': diagnostics.get('missing_includes', []),
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'excluded_removed': diagnostics.get('excluded_removed', []),
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'fuzzy_corrections': diagnostics.get('fuzzy_corrections', {}),
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'illegal_dropped': diagnostics.get('illegal_dropped', []),
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'illegal_allowed': diagnostics.get('illegal_allowed', []),
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'ignored_color_identity': diagnostics.get('ignored_color_identity', []),
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'duplicates_collapsed': diagnostics.get('duplicates_collapsed', {}),
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}
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return {
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'type_breakdown': {
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'counts': type_counts,
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@ -490,6 +507,7 @@ class ReportingMixin:
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'cards': curve_cards,
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},
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'colors': list(getattr(self, 'color_identity', []) or []),
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'include_exclude_summary': include_exclude_summary,
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}
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def export_decklist_csv(self, directory: str = 'deck_files', filename: str | None = None, suppress_output: bool = False) -> str:
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"""Export current decklist to CSV (enriched).
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