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