#!/usr/bin/env bash
# M3 exit walk: create a real SLAB-UAT-* Woo draft with inference OFF (QUALITY-110).
# Run from the UAT host (ubudual5060) after a fresh deploy. This is a HUMAN run —
# it hits the real store with the real app password already in the DB.
# QUALITY-105: this is NOT a mock; it must create a real draft in the store.
set -euo pipefail

BASE="${1:-http://127.0.0.1:10881}"
SLAB_ID="$(python -c 'import uuid; print(uuid.uuid4())')"
SKU="SLAB-UAT-$(date +%H%M%S)"

echo "== 0. Preconditions (health + test-woo) =="
curl -fsS "$BASE/api/health"; echo
echo "-- test-woo (must be ok:true; syncs taxonomy) --"
curl -fsS -X POST "$BASE/api/v1/admin/test-woo"; echo
echo "-- test-inference (inference is OFF for the exit; expect ok:false fail) --"
curl -fsS -X POST "$BASE/api/v1/admin/test-inference"; echo

echo "== 1. Confirm inference OFF =="
curl -fsS "$BASE/api/v1/settings" | python -c 'import sys,json; d=json.load(sys.stdin); print("inference_enabled:", d.get("inference_enabled"), "| content_llm_enabled:", d.get("content_llm_enabled"))'

echo "== 2. Create the slab (inference-off, manual content) =="
cat > /tmp/slab.json <<JSON
{
  "id": "$SLAB_ID",
  "sku": "$SKU",
  "length_in": 114.0,
  "thickness_in": 1.75,
  "sqft": 30.0,
  "bdft": 18.4,
  "width_min_in": 18.0,
  "width_max_in": 24.3,
  "width_avg_in": 24.3,
  "species_id": __SPECIES_ID__,
  "wood_category_ids": [__WOOD_CAT_ID__],
  "edge_type_term_id": __EDGE_TERM_ID__,
  "figure_term_ids": [],
  "grade_term_id": __GRADE_TERM_ID__,
  "thickness_term_id": __THICK_TERM_ID__,
  "moisture_term_id": __MOIST_TERM_ID__,
  "fig_tag_ids": [],
  "feat_tag_ids": [],
  "price": 184.0,
  "price_source": "recommendation",
  "title": "Black Walnut Live Edge Slab",
  "short_description": "Black Walnut Live Edge Slab, 9ft 6in x 24.3in x 1.75in, 18.4 bdft",
  "description": "<p>UAT practice slab created by the SlabUploader M3 exit walk with inference off.</p>",
  "content_source": "manual",
  "species_confidence": null,
  "figure_confidence": null,
  "grade_confidence": null,
  "inference_status": null,
  "calibration_photo_id": null
}
JSON
echo "Replace __SPECIES_ID__ / __WOOD_CAT_ID__ / __EDGE_TERM_ID__ / __GRADE_TERM_ID__ / __THICK_TERM_ID__ / __MOIST_TERM_ID__ with ids from the synced taxonomy (GET the taxonomy in the app), then POST the slab. The walk is interactive; run the steps with curl as shown in docs/UAT-PRACTICE.md."
echo "SLAB_ID=$SLAB_ID"
echo "SKU=$SKU"
echo "Next: attach a photo, review, then POST /api/v1/slabs/$SLAB_ID/publish (expect ok:true, draft:true, woo_product_id set). Confirm the draft exists in the Woo store and matches the reviewed set."