Mealie-backed AI meal planner + shopping list for the family
Kayos
07dab10c4b
The next-tier of structured planning constraints, building on the
free-form preference textarea. Now the household can set hard rules
like '2200 cal/day, 150g protein, no dairy or shellfish' and the
planner enforces them.
Schema (migrations 026 + 027):
- daily_targets_json on cauldron_meal_plans: {calories?, protein_g?,
carbs_g?, fat_g?} per-day budget. Sonnet sums per-recipe macros
across the 7-day plan and aims for ±15% of the weekly total.
- exclusions_json on cauldron_meal_plans: list of contains.* keys
(subset of {dairy, gluten, nuts, peanuts, eggs, shellfish, fish,
soy, sesame, pork}). Hard filter on AI-chosen slots; picks still
apply but get flagged with the conflict in their reason field.
DB:
- set_plan_targets_and_exclusions normalizes inputs (drops zeros,
validates against allowed enum values, lowercases).
- The plan_view path decodes the JSON columns server-side and adds
display labels (`targets_label`, `exclusions_label`) and the parsed
dict/list (`targets_dict`, `exclusions_list`) for the template.
Forge:
- generate_plan accepts daily_targets dict + exclusions list.
- New DAILY MACRO TARGETS prompt block — instructs Sonnet to sum
per-serving macros across all 7 slots and land within ±15% of
weekly totals; tradeoff slots when needed.
- New STRICT EXCLUSIONS prompt block — recipes whose has: list
intersects exclusions are forbidden in AI-chosen slots. Picks that
conflict still appear (explicit user choice) but get flagged in
the slot reason ("contains dairy — household pick").
Server:
- /api/plan/generate accepts {preference, targets, exclusions}.
Persists all three before kicking off Sonnet so re-rolls reuse them.
- /api/plan/regenerate same — empty body reuses persisted constraints.
UI (/plan):
- New <details> section "numeric targets + allergen exclusions
(optional)" tucked under the existing vibe textarea + presets.
- 4 numeric inputs (cal/protein/carbs/fat per day) with quick-set
preset chips: balanced 2200 / protein lean 2400 / carb load 2600 /
cut 1800 / clear.
- 10 allergen checkbox chips with red-pill styling when checked
(uses CSS :has(input:checked) — modern browsers).
- Hydration: persisted targets pre-fill the inputs, persisted
exclusions pre-check the boxes.
- After generation, three readouts above the action buttons show
active vibe / macros / exclusions.
Cobb's exact ask "2200 cal/day, protein and carb balanced, no dairy"
now maps to: targets={calories: 2200, protein_g: 150, carbs_g: 250}
+ exclusions=[dairy] + free-form preference (optional). All persist.
Re-rolls iterate within those constraints automatically.
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| cauldron | ||
| scripts | ||
| tests | ||
| .env.example | ||
| .gitignore | ||
| compose.yml | ||
| Dockerfile | ||
| LICENSE | ||
| README.md | ||
| requirements.txt | ||
cauldron
Mealie-backed AI meal planner + shopping list for the family. LAN-only,
internal tool. Mealie at recipes.sulkta.com is the source of truth for
recipes / meal plans / shopping lists; cauldron is the AI layer + Abby's
branded UI on top.
Status
v0.1 — backend bones (current). Ingredient sterilizer endpoint working. No UI yet; bearer-auth API only. Frontend + Authentik OIDC arrives in v0.2. Native Kotlin Android in v0.5.
Surface (v0.1)
GET /healthz liveness + clawdforge upstream
GET /api/recipes list Mealie recipes (paginated)
POST /api/sterilize/preview/<slug> dry-run AI parse, return proposals
POST /api/sterilize/apply/<slug> write parses back to Mealie
All routes except /healthz require Authorization: Bearer <ADMIN_BEARER>.
Architecture
Abby's phone (later: Kotlin app)
│
▼
cauldron (Flask, port 7790, LAN-only)
├─ Mealie API client ─── recipes.sulkta.com (source of truth)
├─ clawdforge client ─── 192.168.0.5:8800 (claude -p runner)
└─ Authentik OIDC (v0.2)
cauldron does NOT hold its own database in v0.1 — all state lives in Mealie. A small Postgres/MariaDB schema lands in v0.2 for Abby-specific prefs + chat history.
Ingredient sterilizer
Mealie's CRF parser is mediocre. Cobb's hand-typed recipes have lots of free-form quantity strings ("about 2 cups cooked white rice", "1 small handful kale", "a pinch of salt") that don't aggregate cleanly into a shopping list.
The sterilizer batches all ingredients of one recipe into a single Sonnet call (via clawdforge), gets back parallel structured parses, then on apply links each parse to existing Mealie food/unit records (creating any missing by name) and PUTs the recipe back.
Preview is non-destructive — review proposals before apply.
# Dry-run preview
curl -sS -X POST -H "Authorization: Bearer $ADMIN_BEARER" \
http://192.168.0.5:7790/api/sterilize/preview/spaghetti-bolognese | jq .
# Apply (creates missing foods/units by default)
curl -sS -X POST -H "Authorization: Bearer $ADMIN_BEARER" \
http://192.168.0.5:7790/api/sterilize/apply/spaghetti-bolognese | jq .
Deploy
ssh lucycd /mnt/user/appdata && git clone <gitea-url> cauldron && cd cauldron/build(or wherever the deploy convention lands)- Drop
.envat/mnt/cache/appdata/secrets/cauldron.env(chmod 600 root:root)CLAWDFORGE_TOKENis already populated by the bootstrap (seememory/2026-04-28.md)MEALIE_API_TOKEN— mint atrecipes.sulkta.com→ user → API tokensADMIN_BEARER— pick 32 bytes of entropySECRET_KEY— 32 bytes for Flask sessions
docker compose up -d --build- Smoke:
curl http://192.168.0.5:7790/healthz
Roadmap
- v0.1 ✓ — sterilizer backend + Flask shell
- v0.2 — Authentik OIDC, Abby-branded web UI, palette CSS, postgres for prefs
- v0.3 — meal plan generator (week → Mealie meal plan write)
- v0.4 — shopping list aggregator (read meal plan → consolidated grocery list)
- v0.5 — native Kotlin + Compose Android app (read-only shopping list + plan view)
Repo layout
cauldron/
├─ cauldron/
│ ├─ config.py env-driven config
│ ├─ forge.py clawdforge HTTP client
│ ├─ mealie.py Mealie API client
│ ├─ sterilizer.py ingredient parse + apply pipeline
│ └─ server.py Flask app
├─ Dockerfile
├─ compose.yml
├─ requirements.txt
└─ .env.example