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Mealie-backed AI meal planner + shopping list for the family
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Kayos f7b30d3b65 sterilize: search-then-create + retry-on-UNIQUE-400 + don't mark errored as applied 
Job 1's bulk run apply'd 184 recipes and 182 of them failed with the
same error: POST /api/foods -> 400 UNIQUE constraint failed:
ingredient_foods.name, ingredient_foods.group_id. Cause: Mealie's
name_normalized strips punctuation/whitespace/case more aggressively
than our local _build_name_index's plain .lower(), so the cache misses,
the create_food fires blindly, and Mealie's UNIQUE constraint kills
the call. Whole-recipe apply was wrapped in try/except at the bulk
runner so the recipe got marked errored — but applied_at was still
set to NOW(), making the rerun think we'd already tried. We had, but
the recipe's still unparsed.

Two fixes:

1. sterilizer._resolve_food / _resolve_unit replace the inline
   create-on-miss block. Order: local cache → Mealie search-endpoint
   tie-break → create. On any UNIQUE-flavored 400 from create, fall
   back to one more search to adopt whatever Mealie has under the
   normalized form. Mealie's search endpoint applies its own
   name_normalized internally so we don't have to mirror its rules.
   _search_for_match takes "foods" or "units" and looks for an exact
   case-insensitive match against name or pluralName, with a fallback
   to "trust Mealie's ranker" when there's exactly one hit.

2. db.mark_proposal_applied no longer sets applied_at on error. On
   success: applied_at=NOW(), apply_error=NULL. On error: applied_at
   stays NULL, apply_error gets the message. list_approved_unapplied_
   proposals keys off applied_at IS NULL, so a rerun naturally retries
   only the failed recipes.

Net effect: rerun can now successfully apply the 182 failed recipes
without re-walking them, and won't waste calls on the 2 that did go
through.
2026-04-30 06:05:19 -07:00
cauldron sterilize: search-then-create + retry-on-UNIQUE-400 + don't mark errored as applied 2026-04-30 06:05:19 -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