F3 — Bulk 'add checked to pantry' on ShoppingList (the audit's F3 /
H7 finding). ShoppingList already had a 'checked' Set keyed on
ingredient_id and persisted to localStorage — that selection state
is the natural substrate for a bulk action.
Backend (POST /api/pantry/bulk):
- New endpoint that accepts {items: HomePantryCreate[]} and returns
HomePantryBulkResult with per-item status (added / updated /
skipped) and totals. Each item follows the same upsert semantics
as POST /api/pantry (insert or overwrite qty/unit/expires_at).
- Items with an unknown ingredient id are reported as 'skipped'
with reason='Unknown ingredient' rather than aborting the batch.
Per-item failure is the chosen model (partial-success) so the
user gets a precise count of what actually went in.
- New Pydantic schemas: HomePantryBulkCreate, HomePantryBulkResult,
HomePantryBulkResultItem.
Frontend:
- mealPlannerApi.pantry.addBulk(items) is the API binding.
- ShoppingList gets a new 'Add N to pantry' primary button (next
to the existing Reset button) that appears when checked.size > 0.
Click → POST /api/pantry/bulk → toast shows 'added X, updated Y,
skipped Z' counts. On success, only the items that actually
landed in the pantry are removed from the checked set; skipped
items stay checked so the user can see what failed.
- Disabled state with 'Adding…' label while the request is in
flight; button text shows the count dynamically (matches the
F4 design language: tell the user what they're about to do).
F4 — Plan the whole week (the audit's F4 / H7 finding).
Backend (POST /api/meals/{id}/fill-empty-slots):
- New endpoint that takes {meal_types: [str, ...]} and fills every
empty slot in the plan whose meal_type is in the request. Per-day
iteration (1-7) per meal_type, skipping already-occupied slots.
Recipe selection: prefer un-used, fall back to any (same as the
existing generate-item).
- Per-slot failure model: never aborts mid-batch. Returns
FillEmptySlotsResult { filled: [{day, meal_type, item}],
failed: [{day, meal_type, reason}] }. Invalid meal_types
(e.g. 'brunch') return immediately with a single FailedSlot
explaining why.
- Same approval_status=pending semantics as generate-item.
Frontend:
- mealPlannerApi.meals.fillEmptySlots(planId, mealTypes) is the
API binding.
- New 'Plan the week' button on the Dashboard header (next to the
week-nav control from Sprint 5). Primary color, Sparkles icon,
ChevronDown caret indicates a dropdown. Disabled + spinner
('Planning…') while the request runs.
- Dropdown has two options: 'Dinners only' (sends
meal_types=['dinner']) and 'All meals' (sends
meal_types=['breakfast','lunch','dinner']). Each option has a
one-line secondary label explaining the action.
- Toast on success: 'Planned N meal slots' (full) or 'Planned N
of M meal slots — X failed (e.g. <reason>)' (partial). The
query is then invalidated so the new slots show up.
Files: backend/app/api/meals.py, backend/app/api/pantry.py,
backend/app/schemas/__init__.py, frontend/src/api/index.ts,
frontend/src/pages/Dashboard.tsx, frontend/src/pages/ShoppingList.tsx.
Build: tsc 0 errors, vite 0 errors. Bundle +3.6KB (the new code
fits in the existing chunk).
Curl smoke on local dev DB confirms both new endpoints behave as
designed: /api/pantry/bulk returns proper skipped count for
unknown ingredients, /api/meals/{id}/fill-empty-slots returns
the partial-success result for the dinners-only call.
- Migration 0012 adds score (float) and components (jsonb) to meal_plan_item
- generate.py: populates score and components at create time
- schemas/MealPlanItemResponse: include score + components fields
- GET /api/meal-plans/{id}: returns persisted values instead of zeros
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