feat: implement blood glucose tracking form and API with MariaDB database support

prisma/schema.prisma

@@ -4,7 +4,7 @@ generator client {
 }
 
 datasource db {
-  provider = "sqlite"
+  provider = "mysql"
 }
 
 // ─── Auth ────────────────────────────────────────────────────────────────────
@@ -45,7 +45,7 @@ model Reading {
   measuredAt DateTime
   moment     String
   value      Float
-  notes      String?
+  notes      String?  @db.Text
   createdAt  DateTime @default(now())
 
   @@index([userId, measuredAt])
@@ -71,7 +71,7 @@ model DailyAnalysis {
   id          String   @id @default(cuid())
   userId      String   @unique
   user        User     @relation(fields: [userId], references: [id], onDelete: Cascade)
-  content     String
+  content     String   @db.Text
   generatedAt DateTime @default(now())
 }
 

prisma/seed.ts

@@ -1,19 +1,26 @@
-import path from "node:path";
-import { PrismaClient } from "../src/generated/prisma/client";
-import { PrismaBetterSqlite3 } from "@prisma/adapter-better-sqlite3";
+import { PrismaClient } from "../src/generated/prisma";
+import { PrismaMariaDb } from "@prisma/adapter-mariadb";
+import bcrypt from "bcryptjs";
 import "dotenv/config";
 
-const databaseUrl =
-  process.env.DATABASE_URL ?? `file:${path.resolve("prisma/dev.db")}`;
-
-const prisma = new PrismaClient({
-  adapter: new PrismaBetterSqlite3({ url: databaseUrl }),
+// Configuration de l'adaptateur pour le script
+const adapter = new PrismaMariaDb({
+  host: "localhost",
+  port: 3306,
+  user: "root",
+  password: "",
+  database: "diabetix_001",
 });
 
+const prisma = new PrismaClient({ adapter });
+
 const moments = [
   { key: "FASTING", hour: 7, baseMin: 0.85, baseMax: 1.25 },
-  { key: "LUNCH", hour: 14, baseMin: 1.05, baseMax: 1.75 },
-  { key: "DINNER", hour: 21, baseMin: 1.0, baseMax: 1.7 },
+  { key: "BEFORE_LUNCH", hour: 11, baseMin: 0.8, baseMax: 1.2 },
+  { key: "AFTER_LUNCH", hour: 14, baseMin: 1.1, baseMax: 1.8 },
+  { key: "BEFORE_DINNER", hour: 18, baseMin: 0.8, baseMax: 1.2 },
+  { key: "AFTER_DINNER", hour: 21, baseMin: 1.1, baseMax: 1.8 },
+  { key: "BEDTIME", hour: 23, baseMin: 1.0, baseMax: 1.4 },
 ] as const;
 
 function rand(min: number, max: number) {
@@ -21,31 +28,74 @@ function rand(min: number, max: number) {
 }
 
 async function main() {
-  await prisma.reading.deleteMany();
+  console.log("🌱 Début du seeding avec nouveaux moments...");
 
+  // 1. Nettoyage
+  await prisma.reading.deleteMany();
+  await prisma.patient.deleteMany();
+  await prisma.user.deleteMany();
+
+  // 2. Création de l'utilisateur de test
+  const passwordHash = await bcrypt.hash("password123", 10);
+  const user = await prisma.user.create({
+    data: {
+      email: "jeremy@test.com",
+      name: "Jeremy",
+      passwordHash,
+      plan: "PREMIUM",
+    },
+  });
+
+  await prisma.patient.create({
+    data: {
+      userId: user.id,
+      firstName: "Jeremy",
+      lastName: "Test",
+      diabetesType: "TYPE1",
+      treatment: "Insuline",
+      birthDate: new Date("1990-01-01"),
+    },
+  });
+
+  // 3. Génération de 30 jours de relevés réalistes
   const today = new Date();
   today.setHours(0, 0, 0, 0);
-  const data: { measuredAt: Date; moment: string; value: number; notes: string | null }[] = [];
+  const data: { userId: string; measuredAt: Date; moment: string; value: number; notes: string | null }[] = [];
 
   for (let day = 29; day >= 0; day--) {
     for (const m of moments) {
+      // Pour simuler la vie réelle, on ne prend pas tous les relevés chaque jour
+      if (m.key !== "FASTING" && Math.random() < 0.3) continue;
+
       const d = new Date(today.getTime() - day * 86_400_000);
-      d.setHours(m.hour, Math.floor(Math.random() * 30), 0, 0);
+      d.setHours(m.hour, Math.floor(Math.random() * 45), 0, 0);
       let value = rand(m.baseMin, m.baseMax);
-      // Quelques valeurs aberrantes pour montrer hypo / hyper
-      if (Math.random() < 0.05) value = rand(0.5, 0.68);
-      if (Math.random() < 0.05) value = rand(1.85, 2.4);
+      
+      // Quelques valeurs aberrantes
+      if (Math.random() < 0.04) value = rand(0.5, 0.68);
+      if (Math.random() < 0.04) value = rand(1.85, 2.3);
+      
       data.push({
+        userId: user.id,
         measuredAt: d,
         moment: m.key,
         value: Math.round(value * 100) / 100,
-        notes: Math.random() < 0.15 ? "Bonne forme" : null,
+        notes: null,
       });
     }
   }
 
   await prisma.reading.createMany({ data });
+  console.log(`✓ Base MySQL synchronisée avec les nouveaux moments.`);
   console.log(`✓ ${data.length} relevés générés.`);
+  console.log("✅ Seeding terminé !");
 }
 
-main().finally(() => prisma.$disconnect());
+main()
+  .catch((e) => {
+    console.error(e);
+    process.exit(1);
+  })
+  .finally(async () => {
+    await prisma.$disconnect();
+  });