refactor: migrate to deck-based vocabulary curation

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

documentation/notes.md

@@ -1,3 +1,45 @@
 # notes
 
+## tasks
+
 - pinning dependencies in package.json files
+
+## open word net
+
+download libraries via
+
+```bash
+python -c 'import wn; wn.download("omw-fr")';
+```
+
+libraries:
+
+odenet:1.4
+omw-es:1.4
+omw-fr:1.4
+omw-it:1.4
+omw-en:1.4
+
+upgrade wn package:
+
+```bash
+pip install --upgrade wn
+```
+
+check if wn is available, eg italian:
+
+```bash
+python -c "import wn; print(len(wn.words(lang='it', lexicon='omw-it:1.4')))"
+```
+
+remove a library:
+
+```bash
+python -c "import wn; wn.remove('oewn:2024')"﬌ python -c "import wn; wn.remove('oewn:2024')"
+```
+
+list all libraries:
+
+```bash
+python -c "import wn; print(wn.lexicons())"
+```