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Mealie-backed AI meal planner + shopping list for the family
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Kayos 4db447edad plan: cook history + per-serving macros + allergens + picker profiles 
Tier-1 data additions for the planner — turning the AI from a title-
matching guesser into a structured-data consumer. ENRICH_VERSION bumped
2→3 so existing meta gets refreshed with the new fields on next walk.

(A) Cook history. db.household_recipe_history aggregates recipe slug
    → {last_planned_date, count_30d, count_long} from cauldron_meal_
    plan_slots over a 180-day window. The plan generator's pool prompt
    now renders each recipe with rotation context: "last:8w-ago 0×/30d
    1×/180d". New planner rule: ROTATION — demote recipes shown 2+
    times in 30d unless they're picks; never repeat the same slug
    within the 7-day plan. New planner rule: VARIETY — don't fill 5
    of 7 slots with the same primary_protein or cuisine.

(B) Per-serving macros in enrichment. forge.enrich_recipe now asks
    Sonnet for calories, protein_g, carbs_g, fat_g per serving (rough
    USDA-grade estimates from ingredient list + yields). Renders into
    the pool prompt as "~480cal protein=32g carbs=45g fat=18g". Lets
    "high protein week" become a quantitative filter instead of a
    title-keyword match.

(C) Allergen booleans. New contains.* block in enrichment:
    {dairy, gluten, nuts, peanuts, eggs, shellfish, fish, soy, sesame,
    pork} — bool per allergen, conservatively defaulting to TRUE when
    uncertain since false negatives can hurt people. Pool prompt
    renders as "has:dairy,gluten,eggs". Foundation for upcoming
    "no dairy this week" exclusion-list UI on /plan.

(D) Picker profiles. db.household_picker_profiles unions current
    cauldron_meal_picks + historical meal_plan_slots.picker_subs over
    365 days, joins with cauldron_recipe_meta, aggregates per-user:
        {display_name, total_picks, cuisines, proteins, comfort_tiers,
         tags} — top-N counters each. Plan generator includes a new
    PICKER PROFILES block in the prompt:
        - cobb (sub=cobb@sulkta.com, 24 picks):
            cuisines=[asian:6, mexican:4, italian:3] ·
            proteins=[chicken:8, beef:5, fish:2] ·
            tags=[weeknight:11, high-protein:9, spicy:7]
    Sonnet uses these to bias AI-chosen slots toward each member's
    actual demonstrated taste — golden signal that's been sitting in
    the database the whole time. Picks still override profile bias.

Cost: cook history is a single SQL aggregate (free, sub-100ms). New
macro+allergen fields fold into the existing ~5s/recipe Sonnet call
with maybe 30 more output tokens. Picker profiles are 2-3 SQL queries
totaling sub-200ms even at scale. No new network round-trips.

Net effect once Cobb runs /enrich-recipes against ENRICH_VERSION 3:
plan generator has structured macros + allergen flags + cook-history
rotation context + per-user preferences to work with. The free-form
preference textarea ("high protein, no dairy") becomes a real query
against actual data, not just a Sonnet vibe-prompt.
2026-04-30 20:23:13 -07:00
cauldron plan: cook history + per-serving macros + allergens + picker profiles 2026-04-30 20:23:13 -07:00
scripts v0.3 step 5: lean shopping list — claude on-demand foods + game strip 2026-04-29 22:02:20 -07:00
tests v0.3 step 3+4: AI plan generator + /list shopping aggregation 2026-04-29 06:26:54 -07:00
.env.example v0.2 foundation — Authentik OIDC + sulkta-mariadb DB + Fernet crypto 2026-04-28 19:47:47 -07:00
.gitignore v0.1 — backend bones + ingredient sterilizer 2026-04-28 16:59:11 -07:00
compose.yml compose: also join sulkta-db-net so cauldron can reach sulkta-mariadb 2026-04-28 19:48:59 -07:00
Dockerfile v0.1 — backend bones + ingredient sterilizer 2026-04-28 16:59:11 -07:00
LICENSE Initial commit 2026-04-28 16:35:30 -07:00
README.md v0.1 — backend bones + ingredient sterilizer 2026-04-28 16:59:11 -07:00
requirements.txt search: local fuzzy recipe index — way smarter than Mealie's lexical default 2026-04-28 21:37:12 -07:00

README.md

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

  1. ssh lucy
  2. cd /mnt/user/appdata && git clone <gitea-url> cauldron && cd cauldron/build (or wherever the deploy convention lands)
  3. Drop .env at /mnt/cache/appdata/secrets/cauldron.env (chmod 600 root:root)
    • CLAWDFORGE_TOKEN is already populated by the bootstrap (see memory/2026-04-28.md)
    • MEALIE_API_TOKEN — mint at recipes.sulkta.com → user → API tokens
    • ADMIN_BEARER — pick 32 bytes of entropy
    • SECRET_KEY — 32 bytes for Flask sessions
  4. docker compose up -d --build
  5. 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