4 commits

Author	SHA1	Message	Date
pyr0ball	521cb419bc	feat: sensory profile filter — texture/smell/noise filtering for Browse and Find (kiwi#51) ... - Migration 035: add sensory_tags column to recipes (default '{}') - scripts/tag_sensory_profiles.py: batch tagger using ingredient names, direction keywords, and ingredient_profiles texture data - app/services/recipe/sensory.py: SensoryExclude frozen dataclass, build_sensory_exclude(), passes_sensory_filter() with graceful degradation (untagged recipes always pass; malformed JSON always passes) - store.browse_recipes and _browse_by_match: accept SensoryExclude, apply filter in recipe-building loop (default path) and scoring loop (match sort) - recipe_engine.suggest: load sensory_preferences from settings, apply passes_sensory_filter() after exclude_set check in the rows loop - settings endpoint: add sensory_preferences to _ALLOWED_KEYS - Frontend: SensoryPreferences types in api.ts; sensoryPreferences state and saveSensory() action in settings store; Sensory section in SettingsView with texture avoid pills, smell/noise tolerance scale pills with ok/limit/neutral color coding - 66 new tests (29 classification + 13 sensory service + 2 settings); 281 total	2026-04-24 09:47:48 -07:00
pyr0ball	b223325d77	feat(shopping): locale-aware grocery links with region settings UI ... Shopping links previously hardcoded to US storefronts. Users in other regions got broken Amazon Fresh and Instacart links. Now locale is stored as a user setting and passed to GroceryLinkBuilder at request time. - locale_config.py: per-locale Amazon domain/dept config (already existed) - grocery_links.py: GroceryLinkBuilder accepts locale=; routes Instacart to .ca for Canada, uses amazon_domain per locale, Instacart/Walmart US/CA only - settings.py: adds 'shopping_locale' to allowed settings keys - shopping.py: reads locale from user's stored setting on all list/add/update paths - SettingsView.vue: Shopping Region selector (NA, Europe, APAC, LATAM) - stores/settings.ts: shoppingLocale reactive state, saves via settings API	2026-04-21 15:05:28 -07:00
pyr0ball	76516abd62	feat: metric/imperial unit preference (#81) ... - Settings: add unit_system key (metric | imperial, default metric) - Recipe LLM prompts: inject unit instruction into L3 and L4 prompts so generated recipes use the user's preferred units throughout - Frontend: new utils/units.ts converter (mirrors Python units.py) - Inventory list: display quantities converted to preferred units - Settings view: metric/imperial toggle with save button - Settings store: load/save unit_system alongside cooking_equipment Closes #81	2026-04-15 23:04:29 -07:00
pyr0ball	9371df1c95	feat: recipe engine Phase 3 — StyleAdapter, LLM levels 3-4, user settings ... Task 13: StyleAdapter with 5 cuisine templates (Italian, Latin, East Asian, Eastern European, Mediterranean). Each template includes weighted method_bias (sums to 1.0), element-filtered aromatics/depth/structure helpers, and seasoning/finishing-fat vectors. StyleTemplate is a fully immutable frozen dataclass with tuple fields. Task 14: LLMRecipeGenerator for Levels 3 and 4. Level 3 builds a structured element-scaffold prompt; Level 4 generates a minimal wildcard prompt (<1500 chars). Allergy hard-exclusion wired through RecipeRequest.allergies into both prompt builders and the generate() call path. Parsed LLM response (title, ingredients, directions, notes) fully propagated to RecipeSuggestion. Task 15: User settings key-value store. Migration 012 adds user_settings table. Store.get_setting / set_setting with upsert. GET/PUT /settings/{key} endpoints with Pydantic SettingBody, key allowlist, get_session dependency. RecipeEngine reads cooking_equipment from settings when hard_day_mode=True. 55 tests passing.	2026-03-31 14:15:18 -07:00