Files
Epicure/apps/web/app/api/v1/users/me/nutrition-diary/route.ts
T
Arnaud 592c86f8d4 feat: nutrition trend/history view (v0.69.0)
Extends GET /api/v1/users/me/nutrition-diary with a `range` query
param (7/30/90) that switches it into trend mode -- daily
calorie/macro totals bucketed from the same cooking-history rows the
single-day diary already reads, with zero-filled days so the chart
has a continuous x-axis. New NutritionTrend component reuses the
existing hand-rolled TimeSeriesChart (previously admin-only, now
imported from user-facing code too) for the calorie line, plus
simple average-macro stat tiles below it.

Nutrition page now has Diary/Trend tabs instead of just the diary.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-22 00:36:10 +02:00

165 lines
5.7 KiB
TypeScript

import { NextRequest, NextResponse } from "next/server";
import { db, cookingHistory, recipes, userNutritionGoals, eq, and, gte, lt } from "@epicure/db";
import { requireSession } from "@/lib/api-auth";
function isValidDate(value: string): boolean {
return /^\d{4}-\d{2}-\d{2}$/.test(value) && !isNaN(new Date(`${value}T00:00:00.000Z`).getTime());
}
const VALID_RANGES = [7, 30, 90];
export async function GET(req: NextRequest) {
const { session, response } = await requireSession();
if (response) return response;
const userId = session!.user.id;
const rangeParam = req.nextUrl.searchParams.get("range");
const range = rangeParam ? parseInt(rangeParam, 10) : null;
if (range && VALID_RANGES.includes(range)) {
return getTrend(userId, range);
}
const dateParam = req.nextUrl.searchParams.get("date");
const date = dateParam && isValidDate(dateParam) ? dateParam : new Date().toISOString().slice(0, 10);
const dayStart = new Date(`${date}T00:00:00.000Z`);
const dayEnd = new Date(dayStart.getTime() + 24 * 60 * 60 * 1000);
const rows = await db
.select({
id: cookingHistory.id,
recipeId: cookingHistory.recipeId,
servings: cookingHistory.servings,
cookedAt: cookingHistory.cookedAt,
recipeTitle: recipes.title,
baseServings: recipes.baseServings,
nutritionData: recipes.nutritionData,
})
.from(cookingHistory)
.leftJoin(recipes, eq(cookingHistory.recipeId, recipes.id))
.where(
and(
eq(cookingHistory.userId, userId),
gte(cookingHistory.cookedAt, dayStart),
lt(cookingHistory.cookedAt, dayEnd)
)
)
.orderBy(cookingHistory.cookedAt);
const totals = { calories: 0, proteinG: 0, carbsG: 0, fatG: 0, fiberG: 0, sodiumMg: 0 };
const entries: {
id: string;
recipeId: string;
title: string;
servings: number;
cookedAt: string;
nutritionKnown: boolean;
}[] = [];
let unknownCount = 0;
for (const row of rows) {
const servings = row.servings ?? row.baseServings ?? 1;
const perServing = row.nutritionData?.perServing;
const nutritionKnown = !!perServing;
if (perServing) {
totals.calories += perServing.calories * servings;
totals.proteinG += perServing.proteinG * servings;
totals.carbsG += perServing.carbsG * servings;
totals.fatG += perServing.fatG * servings;
totals.fiberG += perServing.fiberG * servings;
totals.sodiumMg += perServing.sodiumMg * servings;
} else {
unknownCount += 1;
}
entries.push({
id: row.id,
recipeId: row.recipeId,
title: row.recipeTitle ?? "Unknown recipe",
servings,
cookedAt: row.cookedAt.toISOString(),
nutritionKnown,
});
}
for (const key of Object.keys(totals) as (keyof typeof totals)[]) {
totals[key] = Math.round(totals[key]);
}
const goalsRow = await db.query.userNutritionGoals.findFirst({
where: eq(userNutritionGoals.userId, userId),
});
const goals = goalsRow
? {
caloriesKcal: goalsRow.caloriesKcal,
proteinG: goalsRow.proteinG,
carbsG: goalsRow.carbsG,
fatG: goalsRow.fatG,
}
: null;
const coverage = {
calories: goals?.caloriesKcal ? Math.round((totals.calories / goals.caloriesKcal) * 100) : 0,
protein: goals?.proteinG ? Math.round((totals.proteinG / goals.proteinG) * 100) : 0,
carbs: goals?.carbsG ? Math.round((totals.carbsG / goals.carbsG) * 100) : 0,
fat: goals?.fatG ? Math.round((totals.fatG / goals.fatG) * 100) : 0,
};
return NextResponse.json({ date, totals, goals, coverage, entries, unknownCount });
}
/** Multi-day trend: daily calorie/macro totals over the last N days, one
* bucket per calendar day (UTC, matching the single-day endpoint's own
* dayStart/dayEnd math above) — days with nothing cooked still appear with
* zero totals so the chart has a continuous x-axis. */
async function getTrend(userId: string, days: number): Promise<NextResponse> {
const todayStr = new Date().toISOString().slice(0, 10);
const since = new Date(`${todayStr}T00:00:00.000Z`);
since.setUTCDate(since.getUTCDate() - (days - 1));
const rows = await db
.select({
servings: cookingHistory.servings,
cookedAt: cookingHistory.cookedAt,
baseServings: recipes.baseServings,
nutritionData: recipes.nutritionData,
})
.from(cookingHistory)
.leftJoin(recipes, eq(cookingHistory.recipeId, recipes.id))
.where(and(eq(cookingHistory.userId, userId), gte(cookingHistory.cookedAt, since)));
const buckets = new Map<string, { calories: number; proteinG: number; carbsG: number; fatG: number }>();
for (let i = 0; i < days; i++) {
const d = new Date(since);
d.setUTCDate(d.getUTCDate() + i);
buckets.set(d.toISOString().slice(0, 10), { calories: 0, proteinG: 0, carbsG: 0, fatG: 0 });
}
for (const row of rows) {
const perServing = row.nutritionData?.perServing;
if (!perServing) continue;
const servings = row.servings ?? row.baseServings ?? 1;
const key = row.cookedAt.toISOString().slice(0, 10);
const bucket = buckets.get(key);
if (!bucket) continue;
bucket.calories += perServing.calories * servings;
bucket.proteinG += perServing.proteinG * servings;
bucket.carbsG += perServing.carbsG * servings;
bucket.fatG += perServing.fatG * servings;
}
const goalsRow = await db.query.userNutritionGoals.findFirst({ where: eq(userNutritionGoals.userId, userId) });
const daysOut = [...buckets.entries()].map(([date, totals]) => ({
date,
calories: Math.round(totals.calories),
proteinG: Math.round(totals.proteinG),
carbsG: Math.round(totals.carbsG),
fatG: Math.round(totals.fatG),
}));
return NextResponse.json({ range: days, days: daysOut, goalCalories: goalsRow?.caloriesKcal ?? null });
}