feat: manual nutrition entry on recipe editor

Lets authors enter nutrition values by hand instead of relying only on
the AI estimate; the detail-page panel now shows whether data was
manually entered or AI-estimated and offers to switch between them.

v0.35.0

apps/web/app/api/v1/recipes/[id]/nutrition/route.ts

@@ -1,5 +1,5 @@
 import { NextRequest, NextResponse } from "next/server";
-import { db, recipes, recipeIngredients } from "@epicure/db";
+import { db, recipes } from "@epicure/db";
 import { eq, and, or, ne } from "@epicure/db";
 import { requireSessionOrApiKey } from "@/lib/api-auth";
 import { applyRateLimit } from "@/lib/rate-limit";
@@ -25,7 +25,7 @@ export async function GET(req: NextRequest, { params }: Params) {
 
   if (!recipe) return NextResponse.json({ error: "Not found" }, { status: 404 });
 
-  return NextResponse.json({ nutrition: recipe.nutritionData ?? null });
+  return NextResponse.json({ nutrition: recipe.nutritionData ?? null, manual: recipe.nutritionManual });
 }
 
 export async function POST(req: NextRequest, { params }: Params) {
@@ -59,7 +59,7 @@ export async function POST(req: NextRequest, { params }: Params) {
   );
   if (!result.ok) return result.response;
 
-  await db.update(recipes).set({ nutritionData: result.data }).where(and(eq(recipes.id, id), eq(recipes.authorId, session!.user.id)));
+  await db.update(recipes).set({ nutritionData: result.data, nutritionManual: false }).where(and(eq(recipes.id, id), eq(recipes.authorId, session!.user.id)));
 
   return NextResponse.json({ nutrition: result.data });
 }

apps/web/app/api/v1/recipes/[id]/route.ts

@@ -56,6 +56,16 @@ const UpdateRecipeSchema = z.object({
     freezerNote: z.string().max(300).optional(),
     dayOfInstructions: z.string().min(1).max(1000),
   })).max(10).optional(),
+  // Manually-entered per-serving nutrition — set to null to clear it and
+  // re-enable the AI-estimate action on the recipe page.
+  nutrition: z.object({
+    calories: z.number().min(0).max(10000),
+    proteinG: z.number().min(0).max(1000),
+    carbsG: z.number().min(0).max(1000),
+    fatG: z.number().min(0).max(1000),
+    fiberG: z.number().min(0).max(1000),
+    sodiumMg: z.number().min(0).max(100000),
+  }).nullable().optional(),
 });
 
 type Params = { params: Promise<{ id: string }> };
@@ -159,6 +169,10 @@ export async function PUT(req: NextRequest, { params }: Params) {
     if (data.tags !== undefined) updates.tags = data.tags;
     if (data.dietaryTags !== undefined) updates.dietaryTags = data.dietaryTags;
     if (data.isBatchCook !== undefined) updates.isBatchCook = data.isBatchCook;
+    if (data.nutrition !== undefined) {
+      updates.nutritionData = data.nutrition ? { perServing: data.nutrition } : null;
+      updates.nutritionManual = !!data.nutrition;
+    }
 
     await tx.update(recipes).set(updates).where(eq(recipes.id, id));
 

apps/web/app/api/v1/recipes/route.ts

@@ -60,6 +60,17 @@ const CreateRecipeSchema = z.object({
     freezerNote: z.string().max(300).optional(),
     dayOfInstructions: z.string().min(1).max(1000),
   })).max(10).default([]),
+  // Manually-entered per-serving nutrition — takes precedence over (and
+  // disables) the AI-estimate action on the recipe page, since re-estimating
+  // would silently discard values the author entered on purpose.
+  nutrition: z.object({
+    calories: z.number().min(0).max(10000),
+    proteinG: z.number().min(0).max(1000),
+    carbsG: z.number().min(0).max(1000),
+    fatG: z.number().min(0).max(1000),
+    fiberG: z.number().min(0).max(1000),
+    sodiumMg: z.number().min(0).max(100000),
+  }).optional(),
 });
 
 export async function GET(req: NextRequest) {
@@ -132,6 +143,8 @@ export async function POST(req: NextRequest) {
       language: data.language,
       sourceUrl: data.sourceUrl,
       isBatchCook: data.isBatchCook,
+      nutritionData: data.nutrition ? { perServing: data.nutrition } : undefined,
+      nutritionManual: !!data.nutrition,
       createdAt: now,
       updatedAt: now,
     });