All the route files

public/Observatories.csv

@@ -1,4 +1,3 @@
-Name,Location,Latitude,Longitude,Date Established,Functional
 Pacific Apex Seismic Center,"Aleutian Trench, Alaska, USA",53.0000,-168.0000,1973-06-15,Yes
 Cascadia Quake Research Institute,"Oregon Coast, USA",44.5000,-124.0000,1985-03-22,Yes
 Andes Fault Survey Observatory,"Nazca-South American Plate, Santiago, Chile",-33.4500,-70.6667,1992-10-10,Yes

public/Scientists.csv

@@ -1,4 +1,3 @@
-Name,Level,Superior
 Dr. Emily Neighbour Carter,Senior,None
 Dr. Rajiv Menon,Senior,None
 Dr. Izzy Patterson,Senior,None

src/app/api/import-artifacts/route.ts

@@ -0,0 +1,69 @@
+import { NextResponse } from "next/server";
+import { PrismaClient } from "@prisma/client";
+import fs from "fs/promises";
+import path from "path";
+import { parse } from "csv-parse/sync";
+
+// CSV location
+const csvFilePath = path.resolve(process.cwd(), "public/artefacts.csv");
+const prisma = new PrismaClient();
+
+type CsvRow = {
+  Type: string;
+  WarehouseArea: string;
+  EarthquakeId: string;
+  Required?: string;
+  ShopPrice?: string;
+  PickedUp?: string;
+};
+
+function stringToBool(val: string | undefined, defaultValue: boolean = false): boolean {
+  if (!val) return defaultValue;
+  return /^true$/i.test(val.trim());
+}
+
+export async function POST() {
+  try {
+    // 1. Read file
+    const fileContent = await fs.readFile(csvFilePath, "utf8");
+
+    // 2. Parse CSV
+    const records: CsvRow[] = parse(fileContent, {
+      columns: true,
+      skip_empty_lines: true,
+    });
+
+    // 3. Map records to artefact input
+    const artefacts = records.map((row) => ({
+      type: row.Type,
+      warehouseArea: row.WarehouseArea,
+      earthquakeId: parseInt(row.EarthquakeId, 10),
+      required: stringToBool(row.Required, true),              // default TRUE
+      shopPrice: row.ShopPrice && row.ShopPrice !== ""
+        ? parseFloat(row.ShopPrice)
+        : null,
+      pickedUp: stringToBool(row.PickedUp, false),              // default FALSE
+      creatorId: null,
+      purchasedById: null,
+    }));
+
+    // 4. Bulk insert
+    await prisma.artefact.createMany({
+      data: artefacts,
+      skipDuplicates: true,
+    });
+
+    return NextResponse.json({
+      success: true,
+      count: artefacts.length,
+    });
+  } catch (error: any) {
+    console.error(error);
+    return NextResponse.json(
+      { success: false, error: error.message },
+      { status: 500 }
+    );
+  } finally {
+    await prisma.$disconnect();
+  }
+}

src/app/api/import-observatories/route.ts

@@ -0,0 +1,73 @@
+import { NextResponse } from "next/server";
+import { PrismaClient } from "@prisma/client";
+import fs from "fs/promises";
+import path from "path";
+import { parse } from "csv-parse/sync";
+
+// CSV location (update filename as needed)
+const csvFilePath = path.resolve(process.cwd(), "public/observatories.csv");
+const prisma = new PrismaClient();
+
+type CsvRow = {
+  Name: string;
+  Location: string;
+  Latitude: string;
+  Longitude: string;
+  DateEstablished?: string;
+  Functional: string;
+  SeismicSensorOnline?: string;
+};
+
+function stringToBool(val: string | undefined): boolean {
+  // Accepts "TRUE", "true", "True", etc.
+  if (!val) return false;
+  return /^true$/i.test(val.trim());
+}
+
+export async function POST() {
+  try {
+    // 1. Read file
+    const fileContent = await fs.readFile(csvFilePath, "utf8");
+
+    // 2. Parse CSV
+    const records: CsvRow[] = parse(fileContent, {
+      columns: true,
+      skip_empty_lines: true,
+    });
+
+    // 3. Map records to Prisma inputs
+    const observatories = records.map((row) => ({
+      name: row.Name,
+      location: row.Location,
+      latitude: row.Latitude,
+      longitude: row.Longitude,
+      dateEstablished: row.DateEstablished
+        ? parseInt(row.DateEstablished, 10)
+        : null,
+      functional: stringToBool(row.Functional),
+      seismicSensorOnline: row.SeismicSensorOnline
+        ? stringToBool(row.SeismicSensorOnline)
+        : true, // default true per schema
+      creatorId: null,
+    }));
+
+    // 4. Bulk insert
+    await prisma.observatory.createMany({
+      data: observatories,
+      skipDuplicates: true,
+    });
+
+    return NextResponse.json({
+      success: true,
+      count: observatories.length,
+    });
+  } catch (error: any) {
+    console.error(error);
+    return NextResponse.json(
+      { success: false, error: error.message },
+      { status: 500 }
+    );
+  } finally {
+    await prisma.$disconnect();
+  }
+}

src/app/api/import-scientists/route.ts

@@ -0,0 +1,57 @@
+import { NextResponse } from "next/server";
+import { PrismaClient } from "@prisma/client";
+import fs from "fs/promises";
+import path from "path";
+import { parse } from "csv-parse/sync";
+
+// Path to CSV file
+const csvFilePath = path.resolve(process.cwd(), "public/scientists.csv");
+const prisma = new PrismaClient();
+
+type CsvRow = {
+  Name: string;
+  Level?: string;
+  UserId: string;
+  SuperiorId?: string;
+};
+
+function normalizeLevel(level: string | undefined): string {
+  // Only allow JUNIOR, SENIOR; default JUNIOR
+  if (!level || !level.trim()) return "JUNIOR";
+  const lv = level.trim().toUpperCase();
+  return ["JUNIOR", "SENIOR"].includes(lv) ? lv : "JUNIOR";
+}
+
+export async function POST() {
+  try {
+    // 1. Read the CSV file
+    const fileContent = await fs.readFile(csvFilePath, "utf8");
+
+    // 2. Parse the CSV
+    const records: CsvRow[] = parse(fileContent, {
+      columns: true,
+      skip_empty_lines: true,
+    });
+
+    // 3. Transform each record for Prisma
+    const scientists = records.map(row => ({
+      name: row.Name,
+      level: normalizeLevel(row.Level),
+      userId: parseInt(row.UserId, 10),
+      superiorId: row.SuperiorId && row.SuperiorId.trim() !== "" ? parseInt(row.SuperiorId, 10) : null,
+    }));
+
+    // 4. Bulk create scientists in database
+    await prisma.scientist.createMany({
+      data: scientists,
+      skipDuplicates: true, // in case the scientist/userid combo already exists
+    });
+
+    return NextResponse.json({ success: true, count: scientists.length });
+  } catch (error: any) {
+    console.error(error);
+    return NextResponse.json({ success: false, error: error.message }, { status: 500 });
+  } finally {
+    await prisma.$disconnect();
+  }
+}

src/app/api/import-users/route.ts

@@ -0,0 +1,57 @@
+import { NextResponse } from "next/server";
+import { PrismaClient } from "@prisma/client";
+import fs from "fs/promises";
+import path from "path";
+import { parse } from "csv-parse/sync";
+
+// Path to users.csv - adjust as needed
+const csvFilePath = path.resolve(process.cwd(), "public/users.csv");
+const prisma = new PrismaClient();
+
+type CsvRow = {
+  Name: string;
+  Email: string;
+  PasswordHash: string;
+  Role?: string;
+};
+
+function normalizeRole(role: string | undefined): string {
+  // Only allow ADMIN, SCIENTIST, GUEST; default GUEST
+  if (!role || !role.trim()) return "GUEST";
+  const r = role.trim().toUpperCase();
+  return ["ADMIN", "SCIENTIST", "GUEST"].includes(r) ? r : "GUEST";
+}
+
+export async function POST() {
+  try {
+    // 1. Read the CSV file
+    const fileContent = await fs.readFile(csvFilePath, "utf8");
+
+    // 2. Parse the CSV
+    const records: CsvRow[] = parse(fileContent, {
+      columns: true,
+      skip_empty_lines: true,
+    });
+
+    // 3. Transform each CSV row to User model format
+    const users = records.map(row => ({
+      name: row.Name,
+      email: row.Email,
+      passwordHash: row.PasswordHash,
+      role: normalizeRole(row.Role),
+    }));
+
+    // 4. Bulk create users in database
+    await prisma.user.createMany({
+      data: users,
+      skipDuplicates: true, // because email is unique
+    });
+
+    return NextResponse.json({ success: true, count: users.length });
+  } catch (error: any) {
+    console.error(error);
+    return NextResponse.json({ success: false, error: error.message }, { status: 500 });
+  } finally {
+    await prisma.$disconnect();
+  }
+}