be7a7903c5
Database Schema: - Add decks table for curated word lists (A1, Most Common, etc.) - Add deck_terms join table with position ordering - Link rooms to decks via rooms.deck_id FK - Remove frequency_rank from terms (now deck-scoped) - Change users.id to uuid, add openauth_sub for auth mapping - Add room_players.left_at for disconnect tracking - Add rooms.updated_at for stale room recovery - Add CHECK constraints for data integrity (pos, status, etc.) Extraction Script: - Rewrite extract.py to mirror complete OMW dataset - Extract all 25,204 bilingual noun synsets (en-it) - Remove frequency filtering and block lists - Output all lemmas per synset for full synonym support - Seed data now uncurated; decks handle selection Architecture: - Separate concerns: raw OMW data in DB, curation in decks - Enables user-created decks and multiple difficulty levels - Rooms select vocabulary by choosing a deck
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wn==1.1.0
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