feat: expand to 1014 words, add title-case display and 2 new themes

- Move word data from hardcoded seed.py to data/words.json
- Expand from 210 words across 7 categories to 1014 words across 14
  categories (animals, food, colors, sports, space, nature, music,
  science, countries, occupations, ocean, weather, mythology, technology)
- Word list sidebar now shows title case (Tiger) while grid stays
  uppercase; text input remains case-insensitive
- Add Ocean theme (light, blue accents) and Forest theme (dark, amber
  accents on deep green)
- Replace hardcoded rgba values with --coral-bg CSS variable so
  selection highlighting adapts per theme

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

seed.py

@@ -1,227 +1,17 @@
+"""Seed the database with word categories from data/words.json."""
+
+import json
+import os
+
 from db import get_engine, get_session_factory, init_db
 from models.category import Category, CategoryWord
 
-SEED_DATA = {
-    "animals": [
-        "TIGER",
-        "DOLPHIN",
-        "EAGLE",
-        "WOLF",
-        "BEAR",
-        "LION",
-        "HAWK",
-        "DEER",
-        "FROG",
-        "SHARK",
-        "SNAKE",
-        "WHALE",
-        "ZEBRA",
-        "PANDA",
-        "OTTER",
-        "FALCON",
-        "BISON",
-        "CRANE",
-        "MOOSE",
-        "RAVEN",
-        "JAGUAR",
-        "PARROT",
-        "TURTLE",
-        "SALMON",
-        "FERRET",
-        "COYOTE",
-        "OSPREY",
-        "LIZARD",
-        "BADGER",
-        "PELICAN",
-        "MONKEY",
-        "RABBIT",
-        "IGUANA",
-        "CONDOR",
-        "JACKAL",
-    ],
-    "colors": [
-        "CRIMSON",
-        "VIOLET",
-        "AMBER",
-        "SCARLET",
-        "INDIGO",
-        "MAROON",
-        "CORAL",
-        "IVORY",
-        "SILVER",
-        "GOLDEN",
-        "BRONZE",
-        "TEAL",
-        "OLIVE",
-        "PLUM",
-        "RUST",
-        "SAGE",
-        "NAVY",
-        "JADE",
-        "CYAN",
-        "MAUVE",
-        "COBALT",
-        "COPPER",
-        "EBONY",
-        "PEACH",
-        "CREAM",
-        "LEMON",
-        "ORCHID",
-        "SALMON",
-        "SIENNA",
-        "KHAKI",
-        "LILAC",
-        "PEARL",
-        "CHARCOAL",
-        "MAGENTA",
-        "EMERALD",
-    ],
-    "food": [
-        "PIZZA",
-        "SUSHI",
-        "MANGO",
-        "PASTA",
-        "TACO",
-        "BREAD",
-        "STEAK",
-        "GRAPE",
-        "MELON",
-        "PEACH",
-        "OLIVE",
-        "LEMON",
-        "BACON",
-        "WAFFLE",
-        "CREPE",
-        "DONUT",
-        "SALAD",
-        "CURRY",
-        "BAGEL",
-        "FUDGE",
-        "SHRIMP",
-        "CHEESE",
-        "BUTTER",
-        "CHERRY",
-        "PEPPER",
-        "GINGER",
-        "PRETZEL",
-        "BRISKET",
-        "NOODLE",
-        "OYSTER",
-        "TURNIP",
-        "RADISH",
-        "CELERY",
-        "COOKIE",
-        "BISQUE",
-    ],
-    "sports": [
-        "SOCCER",
-        "TENNIS",
-        "BOXING",
-        "RUGBY",
-        "GOLF",
-        "DIVING",
-        "ROWING",
-        "HOCKEY",
-        "FENCING",
-        "ARCHER",
-        "SPRINT",
-        "DISCUS",
-        "SQUASH",
-        "KARATE",
-        "JUDO",
-        "RELAY",
-        "SLALOM",
-        "CRAWL",
-        "VAULT",
-        "SERVE",
-        "VOLLEY",
-        "TACKLE",
-        "PADDLE",
-        "JAVELIN",
-        "HURDLE",
-    ],
-    "space": [
-        "PLANET",
-        "GALAXY",
-        "NEBULA",
-        "COMET",
-        "ORBIT",
-        "QUASAR",
-        "PULSAR",
-        "LUNAR",
-        "SOLAR",
-        "METEOR",
-        "AURORA",
-        "ECLIPSE",
-        "ZENITH",
-        "CRATER",
-        "COSMOS",
-        "PHOTON",
-        "PLASMA",
-        "ROCKET",
-        "SATURN",
-        "VENUS",
-        "MARS",
-        "PLUTO",
-        "TITAN",
-        "VORTEX",
-        "FLARE",
-    ],
-    "nature": [
-        "RIVER",
-        "OCEAN",
-        "CANYON",
-        "FOREST",
-        "DESERT",
-        "ISLAND",
-        "GLACIER",
-        "MEADOW",
-        "VALLEY",
-        "SUMMIT",
-        "LAGOON",
-        "TUNDRA",
-        "MARSH",
-        "CLIFF",
-        "DELTA",
-        "FJORD",
-        "GROVE",
-        "RIDGE",
-        "CORAL",
-        "BROOK",
-        "DUNE",
-        "GEYSER",
-        "CAVERN",
-        "RAPIDS",
-        "SAVANNA",
-    ],
-    "music": [
-        "GUITAR",
-        "PIANO",
-        "DRUMS",
-        "VIOLIN",
-        "FLUTE",
-        "CELLO",
-        "BANJO",
-        "ORGAN",
-        "HARP",
-        "TRUMPET",
-        "RHYTHM",
-        "MELODY",
-        "CHORD",
-        "TEMPO",
-        "FORTE",
-        "TREBLE",
-        "OCTAVE",
-        "SONATA",
-        "BALLAD",
-        "OPERA",
-        "HYMN",
-        "LYRIC",
-        "CHORUS",
-        "BRIDGE",
-        "DUET",
-    ],
-}
+DATA_PATH = os.path.join(os.path.dirname(__file__), "data", "words.json")
+
+
+def load_words():
+    with open(DATA_PATH) as f:
+        return json.load(f)
 
 
 def seed():
@@ -230,7 +20,9 @@ def seed():
     Session = get_session_factory(engine)
     session = Session()
 
-    for cat_name, words in SEED_DATA.items():
+    word_data = load_words()
+
+    for cat_name, words in word_data.items():
         existing = session.query(Category).filter_by(name=cat_name).first()
         if existing:
             cat = existing