kiwi/app/models
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feat(recipe-engine): time-effort profile, product-label tokenisation, L1 tuning
- Add TimeEffortProfile + StepAnalysis Pydantic schemas; serialised into
  RecipeSuggestion so the frontend receives active/passive/total minutes,
  effort label, and detected equipment per suggestion.
- parse_time_effort() now drives max_total_min filter (falls back to step-count
  estimate when directions contain no explicit time mentions).
- _PRODUCT_TOKEN_STOPWORDS: strips marketing/packaging words from multi-word
  product labels before adding individual ingredient tokens to pantry_set.
  "Organic Extra Firm Tofu" → adds "tofu"; improves packaged-food pantry match.
- L1 candidate pool raised to 60 (was 20); min_match_ratio lowered to 0.35
  (was 0.60) to keep enough results for plant-based / packaged-food pantries.
- household.py: tighten import to pull HEIMDALL_URL/ADMIN_TOKEN from
  services.heimdall_orch (matches refactor in cloud_session.py).
2026-04-25 21:44:26 -07:00
..
domain chore: initial commit — kiwi Phase 2 complete 2026-03-30 22:20:48 -07:00
schemas feat(recipe-engine): time-effort profile, product-label tokenisation, L1 tuning 2026-04-25 21:44:26 -07:00
__init__.py chore: initial commit — kiwi Phase 2 complete 2026-03-30 22:20:48 -07:00