Add brewing section, plan chat, roaster learning, API tokens, Swagger docs, and full backup

Brewing:
- roasted_beans + brews tables; /beans (bean management with LLM URL
  prefill) and /brews (silhouette brewer picker across immersion/
  percolation/espresso, recipe fields, auto ratio, 0-10 rating, tasting
  notes); bean remaining weight derived from logged brew doses
- Green inventory lot form also prefills from a product URL

Navigation/UX:
- Side nav is now generated from one definition in nav.js, grouped
  Roasting / Brewing / account, consistent on every page

LLM:
- 'Ask the LLM' chat drawer on the planner (stateless /api/plan-chat)
  grounded in the plan, computed ledger, learned pace, and a new
  roaster-behavior profile aggregated from uploaded .alogs
  (/api/roaster-profile: TP lag, phase RoR, median milestone temps)
- The profile also feeds roast reviews and the planner curve's fallback
  milestone temps

API platform:
- User-generated bearer tokens (rpt_…) with account-page management;
  token requests skip CSRF; hand-authored OpenAPI 3 spec at
  /api/openapi.json rendered by self-hosted Swagger UI at /api-docs
- Full-database backup export/import (admin) + per-user data export

Co-Authored-By: Claude Fable 5 <[email protected]>

shared/curve.js

@@ -19,27 +19,32 @@ export function rorToY(rorCPerMin) {
   return PLOT.y1 - rorCPerMin * 9;
 }
 
-/** Build the five plan-curve points from the ledger + box-8 temps, falling back to machine medians. */
-export function buildPlanCurve(plan, ledger) {
+/** Build the five plan-curve points from the ledger + box-8 temps. Blank temps fall back to
+ * the user's own learned roaster behavior (median milestone temps from their uploaded .alogs,
+ * via /api/roaster-profile) when available, else the reference machine medians. */
+export function buildPlanCurve(plan, ledger, roasterProfile = null) {
   const temps = plan.temps ?? {};
   const num = (v) => {
     const n = Number.parseFloat(v);
     return Number.isFinite(n) ? n : null;
   };
+  const learned = roasterProfile?.n > 0 ? roasterProfile.medians : {};
+  const fallback = (learnedValue, referenceValue) =>
+    Number.isFinite(learnedValue) ? learnedValue : referenceValue;
 
   const points = [
-    { key: "charge", label: "Charge", timeS: 0, tempC: num(temps.charge?.tempC) ?? MACHINE.charge.medianC },
-    { key: "tp", label: "Turning point", timeS: parseTpTime(temps.tp?.time), tempC: num(temps.tp?.tempC) ?? MACHINE.turningPoint.medianC },
-    { key: "yellow", label: "Yellow", timeS: ledger.yellow, tempC: num(temps.yellow?.tempC) ?? MACHINE.yellow.medianC },
-    { key: "fc", label: "First crack", timeS: ledger.A, tempC: num(temps.fc?.tempC) ?? MACHINE.firstCrack.medianC },
-    { key: "drop", label: "Drop", timeS: ledger.D, tempC: num(temps.drop?.tempC) ?? MACHINE.drop.medianC },
+    { key: "charge", label: "Charge", timeS: 0, tempC: num(temps.charge?.tempC) ?? fallback(learned.chargeTempC, MACHINE.charge.medianC) },
+    { key: "tp", label: "Turning point", timeS: parseTpTime(temps.tp?.time, learned.turningPointS), tempC: num(temps.tp?.tempC) ?? fallback(learned.turningPointTempC, MACHINE.turningPoint.medianC) },
+    { key: "yellow", label: "Yellow", timeS: ledger.yellow, tempC: num(temps.yellow?.tempC) ?? fallback(learned.yellowTempC, MACHINE.yellow.medianC) },
+    { key: "fc", label: "First crack", timeS: ledger.A, tempC: num(temps.fc?.tempC) ?? fallback(learned.firstCrackTempC, MACHINE.firstCrack.medianC) },
+    { key: "drop", label: "Drop", timeS: ledger.D, tempC: num(temps.drop?.tempC) ?? fallback(learned.dropTempC, MACHINE.drop.medianC) },
   ];
 
   return points.filter((p) => p.timeS !== null && p.timeS !== undefined);
 }
 
-function parseTpTime(str) {
-  if (!str) return 52; // MACHINE.turningPoint.medianTime, "0:52"
+function parseTpTime(str, learnedS = null) {
+  if (!str) return Number.isFinite(learnedS) ? learnedS : 52; // 52 = MACHINE.turningPoint.medianTime "0:52"
   const m = String(str).match(/^(\d+):(\d{1,2})$/);
   if (!m) return null;
   return Number(m[1]) * 60 + Number(m[2]);