Reports/Export builder (CSV/XLSX), plus a security fix pass
Adds the Berichte export pipeline (/api/export/{report,events,employees})
with shared CSV/XLSX writers in lib/export.ts and lib/reports-data.ts.
Security pass alongside it: sanitize .or() search terms against PostgREST
filter injection, sanitize spreadsheet cells against CSV/Excel formula
injection, stop leaking raw DB error messages to clients, harden the
service-role client with server-only, add baseline security headers, and
bump the vulnerable nested postcss via an override.
This commit is contained in:
123
app/api/export/report/route.ts
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123
app/api/export/report/route.ts
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import { NextResponse, type NextRequest } from "next/server";
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import { exportFilename, exportResponseHeaders, toCsv, toXlsx, type ExportColumn } from "@/lib/export";
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import {
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aggregateEvents,
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aggregateReport,
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EVENT_GROUP_LABELS,
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GROUP_LABELS,
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MEASURE_LABELS,
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sumValues,
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totalForRows,
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type EventGroupDimension,
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type GroupDimension,
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type Measure,
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type ReportRow,
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} from "@/lib/reports";
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import { loadEventHistory, loadOrgLookups, loadSnapshotEmployees } from "@/lib/reports-data";
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import { createClient } from "@/lib/supabase/server";
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import type { HistoryEventType } from "@/lib/supabase/types";
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// Exports exactly the pivot table currently on screen (same mode/measure or
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// event-type/group/split/filters, read from the query string the client
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// already keeps in the URL) as a flat table — one row per group, one column
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// per split value if a split is active.
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export async function GET(request: NextRequest) {
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const supabase = await createClient();
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const {
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data: { user },
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} = await supabase.auth.getUser();
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if (!user) return NextResponse.json({ error: "Nicht angemeldet." }, { status: 401 });
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const { data: profile } = await supabase.from("profiles").select("role, is_active").eq("id", user.id).maybeSingle();
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if (profile?.role !== "hr" || profile?.is_active !== true) {
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return NextResponse.json({ error: "Nicht berechtigt." }, { status: 403 });
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}
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const params = request.nextUrl.searchParams;
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const format = params.get("format") === "xlsx" ? "xlsx" : "csv";
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const mode = params.get("mode") === "events" ? "events" : "snapshot";
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const { lookups } = await loadOrgLookups(supabase);
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let rows: ReportRow[];
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let columns: ExportColumn<ReportRow>[];
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let filenameBase: string;
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if (mode === "events") {
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const group = (params.get("group") as EventGroupDimension) || "event_type";
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const split = (params.get("split") as EventGroupDimension) || null;
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const eventType = (params.get("eventType") as HistoryEventType) || undefined;
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const events = await loadEventHistory(supabase, {
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eventType,
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division: params.get("division") ?? undefined,
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location: params.get("location") ?? undefined,
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from: params.get("from") ?? undefined,
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to: params.get("to") ?? undefined,
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});
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rows = aggregateEvents(events, group, split, lookups);
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columns = eventReportColumns(rows, group, split, sumValues(rows));
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filenameBase = `ereignisse-${eventType ?? "alle"}-${group}`;
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} else {
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const measure = (params.get("measure") as Measure) || "headcount";
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const group = (params.get("group") as GroupDimension) || "division";
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const split = (params.get("split") as GroupDimension) || null;
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const asOf = params.get("asOf") ?? undefined;
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const employees = await loadSnapshotEmployees(supabase, {
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division: params.get("division") ?? undefined,
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location: params.get("location") ?? undefined,
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status: params.get("status") ?? undefined,
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employment: params.get("employment") ?? undefined,
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asOf,
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});
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rows = aggregateReport(employees, measure, group, split, lookups, asOf);
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columns = snapshotReportColumns(rows, measure, group, split, totalForRows(rows, measure));
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filenameBase = `bericht-${measure}-${group}`;
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}
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const filename = exportFilename(filenameBase, format);
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const body = format === "xlsx" ? await toXlsx(rows, columns, "Bericht") : toCsv(rows, columns);
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// TS 5.9's Uint8Array<ArrayBufferLike> vs DOM's BlobPart/ArrayBuffer<> generic
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// mismatch (microsoft/TypeScript#59417) — a real Uint8Array works fine here.
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return new NextResponse(new Blob([body as BlobPart]), { headers: exportResponseHeaders(filename, format) });
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}
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function snapshotReportColumns(
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rows: ReportRow[],
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measure: Measure,
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group: GroupDimension,
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split: GroupDimension | null,
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total: number
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): ExportColumn<ReportRow>[] {
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const columns: ExportColumn<ReportRow>[] = [{ header: GROUP_LABELS[group], get: (r) => r.key }];
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if (split) {
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const splitKeys = Array.from(new Set(rows.flatMap((r) => r.split?.map((s) => s.key) ?? [])));
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for (const key of splitKeys) {
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columns.push({ header: key, get: (r) => Math.round((r.split?.find((s) => s.key === key)?.value ?? 0) * 100) / 100 });
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}
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}
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columns.push(
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{ header: MEASURE_LABELS[measure], get: (r) => Math.round(r.value * 100) / 100 },
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{ header: "Anzahl", get: (r) => r.count },
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{ header: "Anteil (%)", get: (r) => (total > 0 ? Math.round((r.value / total) * 1000) / 10 : 0) }
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);
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return columns;
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}
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function eventReportColumns(
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rows: ReportRow[],
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group: EventGroupDimension,
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split: EventGroupDimension | null,
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total: number
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): ExportColumn<ReportRow>[] {
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const columns: ExportColumn<ReportRow>[] = [{ header: EVENT_GROUP_LABELS[group], get: (r) => r.key }];
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if (split) {
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const splitKeys = Array.from(new Set(rows.flatMap((r) => r.split?.map((s) => s.key) ?? [])));
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for (const key of splitKeys) {
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columns.push({ header: key, get: (r) => r.split?.find((s) => s.key === key)?.value ?? 0 });
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}
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}
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columns.push(
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{ header: "Anzahl", get: (r) => r.count },
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{ header: "Anteil (%)", get: (r) => (total > 0 ? Math.round((r.value / total) * 1000) / 10 : 0) }
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);
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return columns;
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}
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