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alpenwerk-hr/lib/reports.ts
Maximilian Stubhan 8282d7f581 Rename Karenz to Langzeitabwesenheit and record its type
Karenz was doing duty as the name for every kind of extended absence, but
the cases behave differently in payroll and reporting — Wochenhilfe, a
Präsenzdienst, a long sick leave and a sabbatical are not the same thing.
The concept is now called Langzeitabwesenheit and carries which kind it is.

- employees.absence_type, constrained to the thirteen kinds. start_karenz
  stores it on both paths (written straight away, or parked in the
  pending_org_changes payload when the absence starts later);
  record_karenz_return and the karenz_return branch of
  apply_due_pending_changes clear it, so a returned employee does not keep
  looking like they are still away. It also reaches employee_history, the
  audit log and the employee export.
- The status enum value stays 'Karenz'. Postgres can rename an enum value in
  place, but every stored function body that spells it would then reference
  a value that no longer exists — a dozen functions across fifteen
  migrations, rewritten for a label. The mapping lives in lib/absence.ts
  instead, which is the single place the UI reads the display name from.
- Where a kind is recorded the chip shows it — "Bildungskarenz" says more
  than "Langzeitabwesenheit". Absences predating the field have none and
  fall back to the generic name rather than to a guess, and a value outside
  the list is dropped rather than echoed into the UI.
- The export prints the display name, not the raw enum: a payroll hand-off
  reading "Karenz" for what the app calls Langzeitabwesenheit only causes
  questions. Audit filter options keep their stored values and change only
  their labels.
- The seed spreads the twelve absences across the kinds; all of them being
  Karenz would leave any breakdown by kind invisible.
2026-07-25 14:34:28 +02:00

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import { todayIso, yearsBetweenIso } from "./format";
import type { EmploymentStatus, HistoryEventType, Weekday } from "./supabase/types";
export { todayIso };
// ── Bestand (point-in-time snapshot) ──────────────────────────────
export type Measure = "headcount" | "fte" | "parttime_rate" | "avg_age" | "avg_tenure" | "female_share" | "avg_dependents";
export type GroupDimension =
| "division"
| "department"
| "team"
| "location"
| "status"
| "employment_type"
| "contract_type"
| "entry_year"
| "source"
| "paygrade"
| "worker_type"
| "collective_agreement"
| "betriebsrat"
| "dienstwagen"
| "laterale_fuehrung"
| "c_level"
| "has_dependents"
| "weekday";
export const MEASURE_LABELS: Record<Measure, string> = {
headcount: "Headcount",
fte: "FTE",
parttime_rate: "Teilzeitquote",
avg_age: "Ø Alter",
avg_tenure: "Ø Zugehörigkeit",
female_share: "Frauenanteil",
avg_dependents: "Ø Angehörige",
};
export const GROUP_LABELS: Record<GroupDimension, string> = {
division: "Bereich",
department: "Abteilung",
team: "Team",
location: "Standort",
status: "Status",
employment_type: "Beschäftigung",
contract_type: "Vertragsart",
entry_year: "Eintrittsjahr",
source: "Intern/Extern",
paygrade: "Paygrade",
worker_type: "Angestellte:r / Arbeiter:in",
collective_agreement: "Kollektivvertrag",
betriebsrat: "Betriebsrat",
dienstwagen: "Dienstwagen",
laterale_fuehrung: "Laterale Führung",
c_level: "C-Level",
has_dependents: "Hat Angehörige",
weekday: "Wochentag",
};
export const AVERAGE_MEASURES: Measure[] = ["parttime_rate", "avg_age", "avg_tenure", "female_share", "avg_dependents"];
const SUM_MEASURES: Measure[] = ["headcount", "fte"];
export const STATUS_OPTIONS: EmploymentStatus[] = ["Aktiv", "Karenz", "Geplant", "Ausgetreten"];
export const DEFAULT_STATUSES: EmploymentStatus[] = ["Aktiv", "Karenz"];
// `status` filters travel through the URL/exports as a comma-joined list
// (e.g. "Aktiv,Karenz"); this is the one place that turns that string back
// into a validated status set, defaulting to Aktiv+Karenz when unset — used
// by both the Bestand pivot and the full data export so they can never
// silently disagree on which statuses "no filter" means.
export function parseStatuses(status: string | undefined): EmploymentStatus[] {
if (!status) return DEFAULT_STATUSES;
const requested = status.split(",");
const valid = STATUS_OPTIONS.filter((s) => requested.includes(s));
return valid.length > 0 ? valid : DEFAULT_STATUSES;
}
export type ReportEmployee = {
id: string;
first_name: string;
last_name: string;
job_title: string;
division_id: string;
team_id: string | null;
location_id: string;
status: string;
employment_type: string;
contract_type: string;
entry_date: string;
exit_date: string | null;
weekly_hours: number;
source: string;
paygrade: string;
birth_date: string;
gender: string;
worker_type: string;
collective_agreement: string;
work_days: Weekday[];
is_betriebsrat: boolean;
has_dienstwagen: boolean;
is_laterale_fuehrung: boolean;
is_c_level: boolean;
dependents_count: number;
};
export type OrgLookups = {
divisionName: Map<string, string>;
departmentNameByTeam: Map<string, string>;
teamName: Map<string, string>;
locationName: Map<string, string>;
};
// Reconstructs status as of any date from the columns that actually carry a
// timeline (entry/exit/Karenz), rather than trusting `employees.status`,
// which only ever reflects *today*. Division/team/location still reflect the
// employee's *current* assignment — the schema has no history of org-unit
// changes over time, only free-text employee_history descriptions — so a
// stichtag report groups by today's org placement, not the placement as of
// that date. Documented in the UI rather than silently wrong.
export function deriveStatusAsOf(
e: { entry_date: string; exit_date: string | null; karenz_start_date: string | null; karenz_return_date: string | null },
asOf: string
): EmploymentStatus {
if (e.entry_date > asOf) return "Geplant";
if (e.exit_date && e.exit_date <= asOf) return "Ausgetreten";
if (e.karenz_start_date && e.karenz_start_date <= asOf && (!e.karenz_return_date || asOf < e.karenz_return_date)) return "Karenz";
return "Aktiv";
}
function tenureYearsAsOf(entryDate: string, exitDate: string | null, asOf: string): number {
const start = Date.parse(`${entryDate}T00:00:00Z`);
const end = Date.parse(`${exitDate && exitDate <= asOf ? exitDate : asOf}T00:00:00Z`);
return Math.max(0, (end - start) / (1000 * 60 * 60 * 24 * 365.25));
}
export function groupKeyFor(e: ReportEmployee, dim: GroupDimension, lookups: OrgLookups): string {
switch (dim) {
case "division":
return lookups.divisionName.get(e.division_id) ?? "Unbekannt";
case "department":
return e.team_id ? (lookups.departmentNameByTeam.get(e.team_id) ?? "Unbekannt") : "";
case "team":
return e.team_id ? (lookups.teamName.get(e.team_id) ?? "Unbekannt") : "";
case "location":
return lookups.locationName.get(e.location_id) ?? "Unbekannt";
case "status":
return e.status;
case "employment_type":
return e.employment_type;
case "contract_type":
return e.contract_type;
case "entry_year":
return e.entry_date.slice(0, 4);
case "source":
return e.source;
case "paygrade":
return e.paygrade;
case "worker_type":
return e.worker_type;
case "collective_agreement":
return e.collective_agreement;
case "betriebsrat":
return e.is_betriebsrat ? "Ja" : "Nein";
case "dienstwagen":
return e.has_dienstwagen ? "Ja" : "Nein";
case "laterale_fuehrung":
return e.is_laterale_fuehrung ? "Ja" : "Nein";
case "c_level":
return e.is_c_level ? "Ja" : "Nein";
case "has_dependents":
return e.dependents_count > 0 ? "Ja" : "Nein";
case "weekday":
// Not a strict partition — see groupKeysFor, which aggregateReport
// actually uses. This single-key fallback only covers a direct
// groupKeyFor("weekday", ...) call from outside aggregateReport.
return e.work_days[0] ?? "";
default:
return "Unbekannt";
}
}
const WEEKDAY_ORDER: Weekday[] = ["Mo", "Di", "Mi", "Do", "Fr", "Sa", "So"];
function weekdayRank(key: string): number {
const i = WEEKDAY_ORDER.indexOf(key as Weekday);
return i === -1 ? WEEKDAY_ORDER.length : i;
}
function sortByWeekday<T extends { key: string }>(items: T[]): T[] {
return [...items].sort((a, b) => weekdayRank(a.key) - weekdayRank(b.key));
}
// Reused by ReportsPageClient (split legend) and the report export route
// (split columns) to render a `weekday` split chronologically rather than
// in first-encountered order; a no-op for every other dimension.
export function sortKeysForDimension(keys: string[], dim: GroupDimension): string[] {
return dim === "weekday" ? [...keys].sort((a, b) => weekdayRank(a) - weekdayRank(b)) : keys;
}
// Every dimension other than `weekday` is a strict single-key partition
// (delegates to groupKeyFor); `weekday` returns one key per work day, so an
// employee is counted in every day they work — deliberately not a
// partition, since that's the whole point of the dimension.
export function groupKeysFor(e: ReportEmployee, dim: GroupDimension, lookups: OrgLookups): string[] {
if (dim === "weekday") return e.work_days.length > 0 ? e.work_days : [""];
return [groupKeyFor(e, dim, lookups)];
}
export function measureValue(rows: ReportEmployee[], measure: Measure, asOf: string = todayIso()): number {
if (rows.length === 0) return 0;
switch (measure) {
case "headcount":
return rows.length;
case "fte":
return rows.reduce((s, e) => s + e.weekly_hours / 38.5, 0);
case "parttime_rate":
return (rows.filter((e) => e.employment_type === "Teilzeit").length / rows.length) * 100;
case "avg_age":
return rows.reduce((s, e) => s + yearsBetweenIso(e.birth_date, asOf), 0) / rows.length;
case "avg_tenure":
return rows.reduce((s, e) => s + tenureYearsAsOf(e.entry_date, e.exit_date, asOf), 0) / rows.length;
case "female_share":
return (rows.filter((e) => e.gender === "w").length / rows.length) * 100;
case "avg_dependents":
return rows.reduce((s, e) => s + e.dependents_count, 0) / rows.length;
default:
return 0;
}
}
export type ReportPerson = { id: string; name: string; title: string; team: string; entry_date: string };
export type ReportSplitRow = { key: string; value: number; count: number };
export type ReportRow = { key: string; value: number; count: number; people: ReportPerson[]; split?: ReportSplitRow[] };
export function aggregateReport(
employees: ReportEmployee[],
measure: Measure,
group: GroupDimension,
split: GroupDimension | null,
lookups: OrgLookups,
asOf: string = todayIso()
): ReportRow[] {
const byGroup = new Map<string, ReportEmployee[]>();
for (const e of employees) {
for (const key of groupKeysFor(e, group, lookups)) {
if (!byGroup.has(key)) byGroup.set(key, []);
byGroup.get(key)!.push(e);
}
}
const rows: ReportRow[] = [];
for (const [key, rowsForGroup] of byGroup) {
const value = measureValue(rowsForGroup, measure, asOf);
const people: ReportPerson[] = rowsForGroup.map((e) => ({
id: e.id,
name: `${e.first_name} ${e.last_name}`,
title: e.job_title,
team: e.team_id ? (lookups.teamName.get(e.team_id) ?? "") : "",
entry_date: e.entry_date,
}));
const row: ReportRow = { key, value, count: rowsForGroup.length, people };
if (split) {
const bySplit = new Map<string, ReportEmployee[]>();
for (const e of rowsForGroup) {
for (const sKey of groupKeysFor(e, split, lookups)) {
if (!bySplit.has(sKey)) bySplit.set(sKey, []);
bySplit.get(sKey)!.push(e);
}
}
const splitRows = Array.from(bySplit.entries()).map(([sKey, sRows]) => ({
key: sKey,
value: measureValue(sRows, measure, asOf),
count: sRows.length,
}));
row.split = split === "weekday" ? sortByWeekday(splitRows) : splitRows;
}
rows.push(row);
}
return group === "weekday" ? sortByWeekday(rows) : rows.sort((a, b) => b.value - a.value);
}
export function sumValues(rows: { value: number }[]): number {
return rows.reduce((s, r) => s + r.value, 0);
}
// headcount/fte sum across groups; averages/ratios are weighted by each
// group's underlying record count for a sensible overall figure.
export function totalForRows(rows: { value: number; count: number }[], measure: Measure): number {
if (SUM_MEASURES.includes(measure)) return sumValues(rows);
const totalCount = rows.reduce((s, r) => s + r.count, 0);
if (totalCount === 0) return 0;
return rows.reduce((s, r) => s + r.value * r.count, 0) / totalCount;
}
export const REPORT_PRESETS: { name: string; measure: Measure; group: GroupDimension; split?: GroupDimension }[] = [
{ name: "Headcount nach Bereich", measure: "headcount", group: "division" },
{ name: "Frauenanteil nach Bereich", measure: "female_share", group: "division" },
{ name: "Headcount nach Paygrade", measure: "headcount", group: "paygrade" },
{ name: "Teilzeitquote nach Standort", measure: "parttime_rate", group: "location" },
{ name: "Headcount nach Wochentag", measure: "headcount", group: "weekday" },
{ name: "Headcount nach C-Level", measure: "headcount", group: "c_level" },
{ name: "Ø Angehörige nach Bereich", measure: "avg_dependents", group: "division" },
];
// ── Ereignisse (events over a period) ─────────────────────────────
// Backed by employee_history, the append-only log — unlike Bestand, this
// covers every event type (not just Eintritt/Austritt), survives an
// employee's entry_date being overwritten by a later rehire, and each event
// keeps its own date/description regardless of the employee's current state.
// Sentinel for "von"/"bis" — distinct from "" (unset, falls back to the
// current-year default) or a real date. Written to the URL/exports as the
// literal string "open".
export const EVENT_DATE_OPEN = "open";
export type EventGroupDimension = "event_type" | "division" | "department" | "team" | "location" | "event_year";
export const EVENT_GROUP_LABELS: Record<EventGroupDimension, string> = {
event_type: "Ereignistyp",
division: "Bereich",
department: "Abteilung",
team: "Team",
location: "Standort",
event_year: "Jahr",
};
export const EVENT_TYPE_LABELS: Record<HistoryEventType, string> = {
Eintritt: "Eintritt",
Beförderung: "Beförderung",
Versetzung: "Versetzung",
// Stored value stays 'Karenz'; the label follows the renamed concept.
Karenz: "Langzeitabwesenheit",
Vertragsänderung: "Vertragsänderung",
Stammdatenänderung: "Stammdatenänderung",
Austritt: "Austritt",
Wiedereintritt: "Wiedereintritt",
Reorganisation: "Reorganisation",
Gehaltsanpassung: "Gehaltsanpassung",
Rückkehr: "Rückkehr aus Langzeitabwesenheit",
};
export type ReportEvent = {
employee_id: string;
first_name: string;
last_name: string;
job_title: string;
division_id: string;
team_id: string | null;
location_id: string;
event_date: string;
event_type: HistoryEventType;
description: string;
};
function eventGroupKeyFor(e: ReportEvent, dim: EventGroupDimension, lookups: OrgLookups): string {
switch (dim) {
case "event_type":
return EVENT_TYPE_LABELS[e.event_type] ?? e.event_type;
case "division":
return lookups.divisionName.get(e.division_id) ?? "Unbekannt";
case "department":
return e.team_id ? (lookups.departmentNameByTeam.get(e.team_id) ?? "Unbekannt") : "";
case "team":
return e.team_id ? (lookups.teamName.get(e.team_id) ?? "Unbekannt") : "";
case "location":
return lookups.locationName.get(e.location_id) ?? "Unbekannt";
case "event_year":
return e.event_date.slice(0, 4);
default:
return "Unbekannt";
}
}
export function aggregateEvents(
events: ReportEvent[],
group: EventGroupDimension,
split: EventGroupDimension | null,
lookups: OrgLookups
): ReportRow[] {
const byGroup = new Map<string, ReportEvent[]>();
for (const e of events) {
const key = eventGroupKeyFor(e, group, lookups);
if (!byGroup.has(key)) byGroup.set(key, []);
byGroup.get(key)!.push(e);
}
const rows: ReportRow[] = [];
for (const [key, rowsForGroup] of byGroup) {
// Repurposes ReportPerson for events: title -> event description,
// entry_date -> event_date. Keeps the existing drill-down UI/export
// code working unchanged for both report modes.
const people: ReportPerson[] = rowsForGroup.map((e) => ({
id: e.employee_id,
name: `${e.first_name} ${e.last_name}`,
title: e.description,
team: e.team_id ? (lookups.teamName.get(e.team_id) ?? "") : "",
entry_date: e.event_date,
}));
const row: ReportRow = { key, value: rowsForGroup.length, count: rowsForGroup.length, people };
if (split) {
const bySplit = new Map<string, ReportEvent[]>();
for (const e of rowsForGroup) {
const sKey = eventGroupKeyFor(e, split, lookups);
if (!bySplit.has(sKey)) bySplit.set(sKey, []);
bySplit.get(sKey)!.push(e);
}
row.split = Array.from(bySplit.entries()).map(([sKey, sRows]) => ({ key: sKey, value: sRows.length, count: sRows.length }));
}
rows.push(row);
}
return rows.sort((a, b) => b.value - a.value);
}
export const EVENT_REPORT_PRESETS: { name: string; group: EventGroupDimension; split?: EventGroupDimension; eventType?: HistoryEventType }[] = [
{ name: "Ereignisse nach Typ", group: "event_type" },
{ name: "Eintritte nach Bereich", group: "division", eventType: "Eintritt" },
{ name: "Austritte nach Abteilung", group: "department", eventType: "Austritt" },
{ name: "Beförderungen nach Bereich", group: "division", eventType: "Beförderung" },
];
// ── Query-string parsing ──────────────────────────────────────────
// The Berichte page and every /api/export/* route read the same handful of
// dimension/measure names out of a URL the user fully controls. These used
// to be unchecked `as` casts, which let an unknown value through as a real
// enum value: it reached GROUP_LABELS[group] as undefined (a literal
// "undefined" column header in the export) and was interpolated into the
// download filename, i.e. into a Content-Disposition header. Parsing against
// the label maps — the same objects that define the legal values — keeps the
// two in step by construction.
function parseKeyOf<T extends string>(labels: Record<T, string>, value: string | null | undefined, fallback: T): T {
return value && Object.hasOwn(labels, value) ? (value as T) : fallback;
}
export function parseMode(value: string | null | undefined): "snapshot" | "events" {
return value === "events" ? "events" : "snapshot";
}
export function parseMeasure(value: string | null | undefined): Measure {
return parseKeyOf(MEASURE_LABELS, value, "headcount");
}
export function parseGroupDimension(value: string | null | undefined, fallback: GroupDimension = "division"): GroupDimension {
return parseKeyOf(GROUP_LABELS, value, fallback);
}
export function parseEventGroupDimension(
value: string | null | undefined,
fallback: EventGroupDimension = "event_type"
): EventGroupDimension {
return parseKeyOf(EVENT_GROUP_LABELS, value, fallback);
}
// Unlike the dimensions above, "no split" and "all event types" are legal —
// hence null rather than a fallback value for an unrecognized input.
export function parseSplitDimension(value: string | null | undefined): GroupDimension | null {
return value && Object.hasOwn(GROUP_LABELS, value) ? (value as GroupDimension) : null;
}
export function parseEventSplitDimension(value: string | null | undefined): EventGroupDimension | null {
return value && Object.hasOwn(EVENT_GROUP_LABELS, value) ? (value as EventGroupDimension) : null;
}
export function parseEventType(value: string | null | undefined): HistoryEventType | null {
return value && Object.hasOwn(EVENT_TYPE_LABELS, value) ? (value as HistoryEventType) : null;
}
// Rejects anything that is not a real calendar date, so a Stichtag from the
// URL can never reach a date comparison (or a column header) as free text.
export function parseIsoDateParam(value: string | null | undefined): string | undefined {
if (!value || !/^\d{4}-\d{2}-\d{2}$/.test(value)) return undefined;
const d = new Date(`${value}T00:00:00Z`);
return Number.isNaN(d.getTime()) || d.toISOString().slice(0, 10) !== value ? undefined : value;
}
// from/to additionally accept the EVENT_DATE_OPEN sentinel ("this side of
// the interval is intentionally unbounded"), which is not a date.
export function parseEventDateParam(value: string | null | undefined): string | undefined {
return value === EVENT_DATE_OPEN ? EVENT_DATE_OPEN : parseIsoDateParam(value);
}