Restyle PDFs as a two-column template (dark sidebar + main column)
- Fixed, high-quality CV/cover-letter template modelled on the user's reference: navy sidebar (name, headline, contact, skills with bullets, languages, hobbys) and a white main column with accent-underlined section headings and dated entries (date gutter, bold title, blue company line, description). - The LLM now supplies only the text; layout/design is owned by the renderer. - Extended the extracted fields with headline, birth date, driving licence and hobbys (grounded in the base documents, empty when absent). - Two-column auto-fit keeps each document on a single A4 page. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Claude Opus 4.8
+281
-300
@@ -1,26 +1,25 @@
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// Document generation: tailors application documents to a job description with
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// the help of an LLM (Ollama Cloud), then renders them as polished, single-page
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// A4 PDFs (a modern CV and a clean DIN-style cover letter).
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// Document generation.
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//
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// The AI *rewrites* the user's own, previously provided base documents
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// (Basis-Dokumente) so the result stays grounded in real facts — it must not
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// invent experience the applicant doesn't have.
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// Architecture: the *design* lives here as a fixed, high-quality two-column
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// template (dark sidebar + white main column). The LLM only supplies the TEXT
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// content (tailored to the job) as structured data — it never touches layout.
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// The text stays grounded in the user's own base documents; nothing is invented.
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const { jsPDF } = require('jspdf');
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// Ollama Cloud API (https://ollama.com). Override host/model via env if needed
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// (e.g. point OLLAMA_HOST at a local Ollama instance).
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// Ollama Cloud API (https://ollama.com). Override host/model via env if needed.
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const OLLAMA_HOST = (process.env.OLLAMA_HOST || 'https://ollama.com').replace(/\/+$/, '');
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const OLLAMA_MODEL = process.env.OLLAMA_MODEL || 'gpt-oss:120b';
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const OLLAMA_TIMEOUT_MS = Number(process.env.OLLAMA_TIMEOUT_MS || 180000);
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// ----- Ollama call ---------------------------------------------------------
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// ===========================================================================
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// 1. LLM call — produce tailored TEXT for the template
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// ===========================================================================
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// Structured schema the model must return. Everything is required (arrays may
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// be empty) so the JSON shape is predictable.
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const OUTPUT_SCHEMA = {
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type: 'object',
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properties: {
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headline: { type: 'string' },
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kontakt: {
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type: 'object',
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properties: {
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@@ -28,8 +27,10 @@ const OUTPUT_SCHEMA = {
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telefon: { type: 'string' },
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ort: { type: 'string' },
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webseite: { type: 'string' },
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geburtsdatum: { type: 'string' },
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fuehrerschein: { type: 'string' },
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},
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required: ['email', 'telefon', 'ort', 'webseite'],
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required: ['email', 'telefon', 'ort', 'webseite', 'geburtsdatum', 'fuehrerschein'],
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},
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anschreiben: {
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type: 'object',
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@@ -44,7 +45,6 @@ const OUTPUT_SCHEMA = {
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lebenslauf: {
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type: 'object',
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properties: {
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profil: { type: 'string' },
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berufserfahrung: {
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type: 'array',
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items: {
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@@ -53,9 +53,9 @@ const OUTPUT_SCHEMA = {
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zeitraum: { type: 'string' },
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titel: { type: 'string' },
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firma: { type: 'string' },
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punkte: { type: 'array', items: { type: 'string' } },
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beschreibung: { type: 'string' },
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},
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required: ['zeitraum', 'titel', 'firma', 'punkte'],
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required: ['zeitraum', 'titel', 'firma', 'beschreibung'],
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},
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},
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ausbildung: {
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@@ -66,8 +66,9 @@ const OUTPUT_SCHEMA = {
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zeitraum: { type: 'string' },
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abschluss: { type: 'string' },
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institution: { type: 'string' },
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zusatz: { type: 'string' },
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},
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required: ['zeitraum', 'abschluss', 'institution'],
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required: ['zeitraum', 'abschluss', 'institution', 'zusatz'],
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},
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},
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kenntnisse: { type: 'array', items: { type: 'string' } },
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@@ -79,15 +80,14 @@ const OUTPUT_SCHEMA = {
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required: ['sprache', 'niveau'],
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},
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},
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hobbys: { type: 'array', items: { type: 'string' } },
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},
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required: ['profil', 'berufserfahrung', 'ausbildung', 'kenntnisse', 'sprachen'],
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required: ['berufserfahrung', 'ausbildung', 'kenntnisse', 'sprachen', 'hobbys'],
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},
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},
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required: ['kontakt', 'anschreiben', 'lebenslauf'],
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required: ['headline', 'kontakt', 'anschreiben', 'lebenslauf'],
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};
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// Returns the structured object { kontakt, anschreiben, lebenslauf }.
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// Throws if no API key is configured or the API call fails.
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async function generateTailoredTexts({ job, basisDokumente, settings }) {
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const apiKey = process.env.OLLAMA_API_KEY;
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if (!apiKey) {
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@@ -125,19 +125,17 @@ async function generateTailoredTexts({ job, basisDokumente, settings }) {
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const system =
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'Du bist ein erfahrener Bewerbungscoach und erstellst professionelle, ' +
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'deutschsprachige Bewerbungsunterlagen. Du passt die BEREITGESTELLTEN ' +
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'Basis-Unterlagen des Bewerbers auf eine konkrete Stellenausschreibung an. ' +
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'Wichtigste Regel: Du erfindest KEINE Fakten, Qualifikationen, Abschlüsse, ' +
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'Kontaktdaten oder Berufserfahrungen. Verwende ausschließlich Informationen, ' +
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'die in den Basis-Unterlagen des Bewerbers stehen. Du darfst umformulieren, ' +
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'gewichten, relevante Punkte hervorheben und auf die Stelle zuschneiden — ' +
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'aber nichts hinzudichten. Schreibe natürlich, konkret und ohne Floskeln.';
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'deutschsprachige Bewerbungstexte. Du passt die BEREITGESTELLTEN Basis-Unterlagen ' +
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'des Bewerbers auf eine konkrete Stellenausschreibung an. Wichtigste Regel: Du ' +
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'erfindest KEINE Fakten, Qualifikationen, Abschlüsse, Kontaktdaten oder ' +
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'Berufserfahrungen. Verwende ausschließlich Informationen aus den Basis-Unterlagen. ' +
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'Du darfst umformulieren, gewichten, relevante Punkte hervorheben und auf die Stelle ' +
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'zuschneiden — aber nichts hinzudichten. Schreibe natürlich, konkret und ohne Floskeln.';
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// An explicit skeleton with the EXACT keys — models that treat the schema as a
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// hint still copy the key names reliably from a concrete example.
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const skeleton =
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`{\n` +
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` "kontakt": { "email": "", "telefon": "", "ort": "", "webseite": "" },\n` +
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` "headline": "Kurze Berufsbezeichnung (max. 5 Wörter)",\n` +
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` "kontakt": { "email": "", "telefon": "", "ort": "", "webseite": "", "geburtsdatum": "", "fuehrerschein": "" },\n` +
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` "anschreiben": {\n` +
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` "betreff": "Bewerbung als …",\n` +
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` "anrede": "Sehr geehrte Damen und Herren,",\n` +
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@@ -145,15 +143,15 @@ async function generateTailoredTexts({ job, basisDokumente, settings }) {
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` "gruss": "Mit freundlichen Grüßen"\n` +
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` },\n` +
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` "lebenslauf": {\n` +
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` "profil": "",\n` +
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` "berufserfahrung": [\n` +
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` { "zeitraum": "2018 – heute", "titel": "Jobtitel", "firma": "Arbeitgeber", "punkte": ["Aufgabe/Erfolg 1", "Aufgabe/Erfolg 2"] }\n` +
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` { "zeitraum": "02.2025 – heute", "titel": "Jobtitel", "firma": "Arbeitgeber, Ort", "beschreibung": "1 kurzer Satz (optional)" }\n` +
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` ],\n` +
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` "ausbildung": [\n` +
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` { "zeitraum": "2012 – 2015", "abschluss": "Abschluss", "institution": "Schule/Hochschule" }\n` +
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` { "zeitraum": "2012 – 2015", "abschluss": "Abschluss", "institution": "Schule/Hochschule", "zusatz": "" }\n` +
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` ],\n` +
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` "kenntnisse": ["Skill 1", "Skill 2"],\n` +
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` "sprachen": [ { "sprache": "Deutsch", "niveau": "Muttersprache" } ]\n` +
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` "kenntnisse": ["Fähigkeit 1", "Fähigkeit 2"],\n` +
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` "sprachen": [ { "sprache": "Deutsch", "niveau": "Muttersprache" } ],\n` +
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` "hobbys": ["Hobby 1", "Hobby 2"]\n` +
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` }\n` +
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`}`;
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@@ -162,20 +160,23 @@ async function generateTailoredTexts({ job, basisDokumente, settings }) {
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`# Basis-Unterlagen des Bewerbers (Faktengrundlage — NUR diese Fakten verwenden)\n${basisText}\n\n` +
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`# Zielstelle\n${stelleText}\n\n` +
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`# Aufgabe\n` +
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`Erzeuge strukturierte Daten für ein Anschreiben und einen Lebenslauf, jeweils ` +
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`passgenau auf diese Stelle zugeschnitten. Beide Dokumente werden auf JE EINER ` +
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`A4-Seite gedruckt — halte dich daher kurz und relevant.\n\n` +
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`Verwende EXAKT die folgende JSON-Struktur und exakt diese Schlüsselnamen ` +
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`Erzeuge die TEXTE für ein Anschreiben und einen Lebenslauf, passgenau auf diese ` +
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`Stelle zugeschnitten. Layout/Design ist bereits vorgegeben — liefere nur die Inhalte. ` +
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`Beide Dokumente werden auf JE EINER A4-Seite gedruckt, halte dich also kurz.\n\n` +
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`Verwende EXAKT diese JSON-Struktur und exakt diese Schlüsselnamen ` +
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`(keine anderen, keine zusätzlichen Felder, "zeitraum" immer als einzelner String):\n\n` +
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`${skeleton}\n\n` +
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`Vorgaben:\n` +
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`- kontakt: E-Mail, Telefon, Ort und Webseite NUR übernehmen, wenn sie in den ` +
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`Basis-Unterlagen stehen; sonst leerer String. Nichts erfinden.\n` +
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`- anschreiben.absaetze: 3–4 kurze, überzeugende Absätze (kein Adressblock, ` +
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`kein Datum, keine Grußformel hier). Keine Platzhalter — echte Angaben nutzen.\n` +
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`- berufserfahrung: max. 4 relevanteste Stationen (neueste zuerst), je max. 3 knappe Stichpunkte.\n` +
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`- kenntnisse: max. 12 prägnante Schlagworte, relevanteste zuerst.\n` +
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`- profil: 1–2 Sätze (optional, sonst leer). sprachen nur falls vorhanden.\n` +
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`- headline: kurze Berufsbezeichnung des Bewerbers, ggf. auf die Zielstelle zugeschnitten.\n` +
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`- kontakt: E-Mail, Telefon, Ort, Webseite, Geburtsdatum, Führerschein NUR übernehmen, ` +
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`wenn in den Basis-Unterlagen vorhanden; sonst leerer String. Nichts erfinden.\n` +
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`- anschreiben.absaetze: 3–4 kurze, überzeugende Absätze (kein Adressblock, kein Datum, ` +
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`keine Grußformel hier). Keine Platzhalter — echte Angaben nutzen.\n` +
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`- berufserfahrung: relevanteste Stationen (neueste zuerst). "firma" = "Arbeitgeber, Ort". ` +
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`"beschreibung" = optional EIN kurzer Satz (sonst leer).\n` +
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`- ausbildung: relevante Abschlüsse/Stationen. "zusatz" optional (z. B. "Abschluss: …" oder "nicht beendet").\n` +
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`- kenntnisse: max. 12 prägnante Stichworte, relevanteste zuerst.\n` +
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`- sprachen & hobbys: nur falls in den Unterlagen vorhanden.\n` +
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`Leere Felder als leerer String bzw. leeres Array. Antworte AUSSCHLIESSLICH mit dem ` +
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`JSON-Objekt, ohne Markdown, ohne Code-Fences, ohne weiteren Text.`;
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@@ -186,10 +187,7 @@ async function generateTailoredTexts({ job, basisDokumente, settings }) {
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try {
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res = await fetch(`${OLLAMA_HOST}/api/chat`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${apiKey}`,
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},
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headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${apiKey}` },
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body: JSON.stringify({
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model: OLLAMA_MODEL,
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stream: false,
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@@ -218,20 +216,15 @@ async function generateTailoredTexts({ job, basisDokumente, settings }) {
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const data = await res.json();
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const text = ((data && data.message && data.message.content) || '').trim();
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if (!text) {
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throw new Error('Die KI hat keine Antwort geliefert (leerer Inhalt).');
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}
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if (!text) throw new Error('Die KI hat keine Antwort geliefert (leerer Inhalt).');
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// Strip Markdown code fences some models wrap around JSON, then parse.
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const cleaned = text.replace(/^\s*```(?:json)?\s*/i, '').replace(/\s*```\s*$/i, '').trim();
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let parsed;
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try {
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parsed = JSON.parse(cleaned);
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} catch (e) {
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const match = cleaned.match(/\{[\s\S]*\}/);
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if (match) {
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try { parsed = JSON.parse(match[0]); } catch (_) { /* ignore */ }
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}
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if (match) { try { parsed = JSON.parse(match[0]); } catch (_) { /* ignore */ } }
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}
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if (!parsed || typeof parsed !== 'object') {
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throw new Error('Die KI-Antwort konnte nicht als JSON gelesen werden.');
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@@ -241,27 +234,20 @@ async function generateTailoredTexts({ job, basisDokumente, settings }) {
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}
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// ----- tolerant normalisation ----------------------------------------------
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// Models don't always honour the exact schema keys, so accept common German
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// synonyms and shapes and coerce everything into our predictable structure.
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// Models honour the schema keys only loosely, so accept common German synonyms.
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const str = (v) => (typeof v === 'string' ? v.trim() : (v == null ? '' : String(v).trim()));
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const asArray = (v) => (Array.isArray(v) ? v : []);
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function pick(obj, keys) {
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if (!obj) return '';
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for (const k of keys) {
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if (obj[k] != null && String(obj[k]).trim() !== '') return obj[k];
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}
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for (const k of keys) if (obj[k] != null && String(obj[k]).trim() !== '') return obj[k];
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return '';
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}
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function pickArray(obj, keys) {
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if (!obj) return [];
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for (const k of keys) {
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if (Array.isArray(obj[k]) && obj[k].length) return obj[k];
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}
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for (const k of keys) if (Array.isArray(obj[k]) && obj[k].length) return obj[k];
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return [];
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}
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// Accept "2018 – heute" or { von, bis } style objects.
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function toZeitraum(v) {
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if (!v) return '';
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if (typeof v === 'string') return v.trim();
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@@ -275,39 +261,40 @@ function toZeitraum(v) {
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function normalizeResult(parsed) {
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const k = parsed.kontakt || parsed.contact || {};
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const a = parsed.anschreiben || parsed.cover_letter || parsed.anschreiben_daten || {};
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const a = parsed.anschreiben || parsed.cover_letter || {};
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const l = parsed.lebenslauf || parsed.cv || parsed.resume || {};
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return {
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headline: str(pick(parsed, ['headline', 'berufsbezeichnung', 'titel', 'position', 'beruf', 'rolle'])),
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kontakt: {
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email: str(pick(k, ['email', 'e_mail', 'mail'])),
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telefon: str(pick(k, ['telefon', 'phone', 'tel', 'mobil'])),
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ort: str(pick(k, ['ort', 'stadt', 'wohnort', 'city'])),
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webseite: str(pick(k, ['webseite', 'website', 'web', 'url', 'linkedin'])),
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geburtsdatum: str(pick(k, ['geburtsdatum', 'geboren', 'birthdate', 'dob', 'geburt'])),
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fuehrerschein: str(pick(k, ['fuehrerschein', 'führerschein', 'driving_license', 'license', 'licence', 'fuehrerscheinklasse'])),
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},
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anschreiben: {
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betreff: str(pick(a, ['betreff', 'subject', 'titel'])),
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anrede: str(pick(a, ['anrede', 'salutation', 'gruss_anfang'])),
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absaetze: pickArray(a, ['absaetze', 'absätze', 'paragraphs', 'text', 'inhalt', 'absaetze_text'])
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.map(str).filter(Boolean),
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anrede: str(pick(a, ['anrede', 'salutation'])),
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absaetze: pickArray(a, ['absaetze', 'absätze', 'paragraphs', 'text', 'inhalt']).map(str).filter(Boolean),
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gruss: str(pick(a, ['gruss', 'gruß', 'grussformel', 'closing', 'schluss'])),
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},
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lebenslauf: {
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profil: str(pick(l, ['profil', 'kurzprofil', 'zusammenfassung', 'summary', 'ueberblick'])),
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berufserfahrung: pickArray(l, ['berufserfahrung', 'erfahrung', 'work_experience', 'experience', 'stationen'])
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.map((e) => ({
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zeitraum: toZeitraum(pick(e, ['zeitraum', 'zeit', 'dauer', 'period']) || e.zeitraum),
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titel: str(pick(e, ['titel', 'position', 'rolle', 'taetigkeit', 'jobtitel', 'bezeichnung', 'job'])),
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firma: str(pick(e, ['firma', 'arbeitgeber', 'unternehmen', 'company', 'organisation'])),
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punkte: pickArray(e, ['punkte', 'aufgaben', 'taetigkeiten', 'highlights', 'schwerpunkte', 'technologien', 'details', 'beschreibung'])
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.map(str).filter(Boolean),
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beschreibung: str(pick(e, ['beschreibung', 'description', 'details', 'text', 'zusatz'])),
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}))
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.filter((e) => e.titel || e.firma),
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ausbildung: pickArray(l, ['ausbildung', 'bildung', 'education', 'qualifikationen'])
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.map((e) => ({
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zeitraum: toZeitraum(pick(e, ['zeitraum', 'zeit', 'dauer', 'period', 'jahr']) || e.zeitraum),
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abschluss: str(pick(e, ['abschluss', 'titel', 'grad', 'degree', 'qualifikation', 'name'])),
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institution: str(pick(e, ['institution', 'schule', 'hochschule', 'einrichtung', 'ort', 'organisation'])),
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institution: str(pick(e, ['institution', 'schule', 'hochschule', 'einrichtung', 'organisation'])),
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zusatz: str(pick(e, ['zusatz', 'note', 'hinweis', 'details'])),
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}))
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.filter((e) => e.abschluss || e.institution),
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kenntnisse: pickArray(l, ['kenntnisse', 'skills', 'faehigkeiten', 'fähigkeiten', 'kompetenzen'])
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@@ -318,285 +305,279 @@ function normalizeResult(parsed) {
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? { sprache: str(e), niveau: '' }
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: { sprache: str(pick(e, ['sprache', 'name', 'language'])), niveau: str(pick(e, ['niveau', 'level', 'stufe'])) }))
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.filter((e) => e.sprache),
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hobbys: pickArray(l, ['hobbys', 'hobbies', 'interessen', 'interests'])
|
||||
.map((s) => (typeof s === 'object' ? str(pick(s, ['name', 'bezeichnung'])) : str(s)))
|
||||
.filter(Boolean),
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
// ===========================================================================
|
||||
// PDF rendering — modern, single-page A4 layout
|
||||
// 2. PDF template — fixed two-column design (sidebar + main column)
|
||||
// ===========================================================================
|
||||
|
||||
const PT_TO_MM = 0.352778; // 1 pt in millimetres
|
||||
const PT = 0.352778; // pt → mm
|
||||
|
||||
// Restrained, professional palette (RGB).
|
||||
const COLORS = {
|
||||
ink: [30, 41, 59], // slate-800 — body text
|
||||
sub: [71, 85, 105], // slate-600 — secondary
|
||||
muted: [100, 116, 139], // slate-500 — meta
|
||||
accent: [37, 99, 235], // blue-600 — name, section titles, accents
|
||||
hair: [226, 232, 240], // slate-200 — hairlines
|
||||
chipBg: [239, 246, 255],// blue-50 — skill chips
|
||||
const PAGE = { w: 210, h: 297 };
|
||||
const SIDEBAR_W = 68;
|
||||
const SIDE_PAD = 8;
|
||||
const SIDE_X = SIDE_PAD;
|
||||
const SIDE_W = SIDEBAR_W - SIDE_PAD * 2;
|
||||
const MAIN_X = SIDEBAR_W + 10;
|
||||
const MAIN_R = PAGE.w - 14;
|
||||
const MAIN_W = MAIN_R - MAIN_X;
|
||||
const DATE_W = 25; // date gutter inside the main column
|
||||
const ENTRY_X = MAIN_X + DATE_W + 4;
|
||||
const ENTRY_W = MAIN_R - ENTRY_X;
|
||||
const TOP = 20;
|
||||
const BOTTOM = 16;
|
||||
const MIN_SCALE = 0.6;
|
||||
|
||||
const C = {
|
||||
navy: [29, 40, 60], // sidebar background
|
||||
sideText: [231, 237, 244],
|
||||
sideLabel: [143, 158, 181],
|
||||
sideRole: [150, 178, 204],
|
||||
sideRule: [58, 72, 98],
|
||||
accent: [122, 197, 230], // cyan — headings, underlines, bullets
|
||||
company: [77, 141, 201], // main-column company / institution
|
||||
ink: [33, 43, 61],
|
||||
gray: [110, 122, 140],
|
||||
};
|
||||
|
||||
const PAGE = { w: 210, h: 297, marginX: 20, marginTop: 20, marginBottom: 18 };
|
||||
const CONTENT_W = PAGE.w - PAGE.marginX * 2;
|
||||
const RIGHT = PAGE.w - PAGE.marginX;
|
||||
const MIN_SCALE = 0.68;
|
||||
|
||||
function oneLine(v) {
|
||||
return String(v || '').replace(/\s*\n\s*/g, ', ').replace(/\s+/g, ' ').trim();
|
||||
}
|
||||
|
||||
// A tiny layout helper bound to one jsPDF document + a vertical cursor.
|
||||
// `scale` shrinks every font size and gap so the content fits one page;
|
||||
// `dryRun` measures without drawing.
|
||||
function makeWriter(doc, scale, dryRun) {
|
||||
const st = { y: PAGE.marginTop };
|
||||
const S = scale;
|
||||
|
||||
function font(style, pt) {
|
||||
doc.setFont('helvetica', style);
|
||||
// Low-level text writer. `cur` is a {y} cursor; advances it. `dry` = measure only.
|
||||
function write(doc, S, dry, cur, text, o) {
|
||||
const pt = o.pt;
|
||||
const factor = o.factor == null ? 1.3 : o.factor;
|
||||
if (text == null || text === '') return;
|
||||
doc.setFont('helvetica', o.style || 'normal');
|
||||
doc.setFontSize(pt * S);
|
||||
if (o.charSpace) doc.setCharSpace(o.charSpace * S);
|
||||
const content = o.upper ? String(text).toUpperCase() : String(text);
|
||||
const lines = doc.splitTextToSize(content, o.width);
|
||||
for (const ln of lines) {
|
||||
if (!dry) {
|
||||
doc.setTextColor(o.color[0], o.color[1], o.color[2]);
|
||||
const drawX = o.align === 'right' ? o.right : o.x;
|
||||
doc.text(ln, drawX, cur.y + pt * S * PT * 0.76, { align: o.align || 'left' });
|
||||
}
|
||||
function color(c) { doc.setTextColor(c[0], c[1], c[2]); }
|
||||
const lh = (pt, factor = 1.3) => pt * S * PT_TO_MM * factor;
|
||||
const baseline = (pt) => pt * S * PT_TO_MM * 0.76; // approx ascent from top
|
||||
|
||||
// Multi-line text block; returns nothing, advances the cursor.
|
||||
function textBlock(text, { pt, style = 'normal', col = COLORS.ink, factor = 1.3, x = PAGE.marginX, width = CONTENT_W, align = 'left' } = {}) {
|
||||
if (!text) return;
|
||||
font(style, pt);
|
||||
const lines = doc.splitTextToSize(String(text), width);
|
||||
for (const line of lines) {
|
||||
if (!dryRun) {
|
||||
color(col);
|
||||
const drawX = align === 'right' ? RIGHT : x;
|
||||
doc.text(line, drawX, st.y + baseline(pt), { align });
|
||||
}
|
||||
st.y += lh(pt, factor);
|
||||
cur.y += pt * S * PT * factor;
|
||||
}
|
||||
if (o.charSpace) doc.setCharSpace(0);
|
||||
}
|
||||
|
||||
function gap(mm) { st.y += mm * S; }
|
||||
|
||||
function rule(col = COLORS.hair, weight = 0.3) {
|
||||
if (!dryRun) {
|
||||
doc.setDrawColor(col[0], col[1], col[2]);
|
||||
function rule(doc, S, dry, y, x1, x2, color, weight) {
|
||||
if (dry) return;
|
||||
doc.setDrawColor(color[0], color[1], color[2]);
|
||||
doc.setLineWidth(weight * S);
|
||||
doc.line(PAGE.marginX, st.y, RIGHT, st.y);
|
||||
}
|
||||
doc.line(x1, y, x2, y);
|
||||
}
|
||||
|
||||
// Header shared by both documents (name + contact + accent rule).
|
||||
function header(name, contactParts) {
|
||||
textBlock(name || '', { pt: 23, style: 'bold', col: COLORS.ink, factor: 1.05 });
|
||||
const contact = contactParts.map(oneLine).filter(Boolean).join(' · ');
|
||||
if (contact) {
|
||||
gap(1.3);
|
||||
textBlock(contact, { pt: 9.5, col: COLORS.muted, factor: 1.25 });
|
||||
// ----- sidebar -------------------------------------------------------------
|
||||
|
||||
function composeSidebar(doc, S, dry, cur, { header, cv }) {
|
||||
// Name (split into two lines on the first space, like the reference)
|
||||
const nameParts = (header.name || '').trim().split(/\s+/);
|
||||
const nameLines = nameParts.length > 1
|
||||
? [nameParts.slice(0, -1).join(' '), nameParts[nameParts.length - 1]]
|
||||
: [header.name || ''];
|
||||
for (const nl of nameLines) {
|
||||
write(doc, S, dry, cur, nl, { pt: 25, style: 'bold', color: [255, 255, 255], x: SIDE_X, width: SIDE_W, factor: 1.02 });
|
||||
}
|
||||
gap(2.6);
|
||||
rule(COLORS.accent, 0.8);
|
||||
gap(4.5);
|
||||
if (header.headline) {
|
||||
cur.y += 1.5 * S;
|
||||
write(doc, S, dry, cur, header.headline, { pt: 11.5, color: C.sideRole, x: SIDE_X, width: SIDE_W, factor: 1.22 });
|
||||
}
|
||||
|
||||
// Section heading: uppercase, tracked, accent, with a hairline beneath.
|
||||
function section(title) {
|
||||
gap(3.2);
|
||||
doc.setFont('helvetica', 'bold');
|
||||
doc.setFontSize(9.5 * S);
|
||||
if (!dryRun) {
|
||||
doc.setCharSpace(0.45 * S);
|
||||
color(COLORS.accent);
|
||||
doc.text(String(title).toUpperCase(), PAGE.marginX, st.y + baseline(9.5));
|
||||
doc.setCharSpace(0);
|
||||
}
|
||||
st.y += lh(9.5, 1.0);
|
||||
gap(1.4);
|
||||
rule(COLORS.hair, 0.3);
|
||||
gap(3.2);
|
||||
}
|
||||
const section = (title) => {
|
||||
cur.y += 6 * S;
|
||||
write(doc, S, dry, cur, title, { pt: 10, style: 'bold', color: C.accent, x: SIDE_X, width: SIDE_W, charSpace: 0.6, upper: true, factor: 1.0 });
|
||||
cur.y += 1.8 * S;
|
||||
rule(doc, S, dry, cur.y, SIDE_X, SIDEBAR_W - SIDE_PAD, C.sideRule, 0.35);
|
||||
cur.y += 4.2 * S;
|
||||
};
|
||||
|
||||
// A title (bold) on the left and meta (muted) right-aligned on the same line.
|
||||
function entryHead(title, meta) {
|
||||
font('normal', 9.5);
|
||||
const metaW = meta ? doc.getTextWidth(meta) : 0;
|
||||
font('bold', 11);
|
||||
const titleLines = doc.splitTextToSize(title || '', CONTENT_W - metaW - 4 * S);
|
||||
const first = titleLines[0] || '';
|
||||
if (!dryRun) {
|
||||
color(COLORS.ink);
|
||||
doc.text(first, PAGE.marginX, st.y + baseline(11));
|
||||
if (meta) {
|
||||
font('normal', 9.5);
|
||||
color(COLORS.muted);
|
||||
doc.text(meta, RIGHT, st.y + baseline(11), { align: 'right' });
|
||||
}
|
||||
}
|
||||
st.y += lh(11, 1.2);
|
||||
}
|
||||
|
||||
function bullets(items) {
|
||||
const textX = PAGE.marginX + 4.5 * S;
|
||||
const width = RIGHT - textX;
|
||||
for (const item of items) {
|
||||
font('normal', 9.7);
|
||||
const lines = doc.splitTextToSize(item, width);
|
||||
lines.forEach((line, idx) => {
|
||||
if (!dryRun) {
|
||||
if (idx === 0) { color(COLORS.accent); doc.text('•', PAGE.marginX + 1.2 * S, st.y + baseline(9.7)); }
|
||||
color(COLORS.ink);
|
||||
doc.text(line, textX, st.y + baseline(9.7));
|
||||
}
|
||||
st.y += lh(9.7, 1.3);
|
||||
// KONTAKT
|
||||
const kontaktItems = [
|
||||
['Adresse', header.adresse],
|
||||
['Telefon', header.telefon],
|
||||
['E-Mail', header.email],
|
||||
['Geboren', header.geburtsdatum],
|
||||
['Führerschein', header.fuehrerschein],
|
||||
].filter(([, v]) => v);
|
||||
if (kontaktItems.length) {
|
||||
section('Kontakt');
|
||||
kontaktItems.forEach(([label, value]) => {
|
||||
write(doc, S, dry, cur, label, { pt: 7.5, color: C.sideLabel, x: SIDE_X, width: SIDE_W, charSpace: 0.3, upper: true, factor: 1.25 });
|
||||
write(doc, S, dry, cur, value, { pt: 9.5, color: C.sideText, x: SIDE_X, width: SIDE_W, factor: 1.25 });
|
||||
cur.y += 2.4 * S;
|
||||
});
|
||||
}
|
||||
|
||||
if (cv && cv.kenntnisse.length) {
|
||||
section('Fähigkeiten');
|
||||
cv.kenntnisse.forEach((skill) => {
|
||||
const dotY = cur.y + 9 * S * PT * 0.42;
|
||||
if (!dry) { doc.setFillColor(C.accent[0], C.accent[1], C.accent[2]); doc.circle(SIDE_X + 0.9, dotY, 0.7 * S, 'F'); }
|
||||
write(doc, S, dry, cur, skill, { pt: 9, color: C.sideText, x: SIDE_X + 4, width: SIDE_W - 4, factor: 1.28 });
|
||||
cur.y += 1.4 * S;
|
||||
});
|
||||
}
|
||||
|
||||
// Skill "chips": rounded pills that wrap to the content width.
|
||||
function chips(items) {
|
||||
const pt = 9;
|
||||
font('normal', pt);
|
||||
const padX = 2.6 * S;
|
||||
const chipH = pt * S * PT_TO_MM + 2.8 * S;
|
||||
const gapX = 2.2 * S;
|
||||
const gapY = 2.2 * S;
|
||||
let x = PAGE.marginX;
|
||||
let rows = 1;
|
||||
for (const item of items) {
|
||||
const w = doc.getTextWidth(item) + padX * 2;
|
||||
if (x + w > RIGHT && x > PAGE.marginX) { x = PAGE.marginX; st.y += chipH + gapY; rows++; }
|
||||
if (!dryRun) {
|
||||
doc.setFillColor(COLORS.chipBg[0], COLORS.chipBg[1], COLORS.chipBg[2]);
|
||||
doc.roundedRect(x, st.y, w, chipH, chipH / 2, chipH / 2, 'F');
|
||||
color(COLORS.accent);
|
||||
doc.text(item, x + padX, st.y + chipH / 2 + pt * S * PT_TO_MM * 0.34);
|
||||
if (cv && cv.sprachen.length) {
|
||||
section('Sprachen');
|
||||
cv.sprachen.forEach((s) => {
|
||||
// two-tone: language white, level muted, on one line
|
||||
doc.setFont('helvetica', 'normal');
|
||||
doc.setFontSize(9 * S);
|
||||
if (!dry) {
|
||||
doc.setTextColor(C.sideText[0], C.sideText[1], C.sideText[2]);
|
||||
doc.text(s.sprache, SIDE_X, cur.y + 9 * S * PT * 0.76);
|
||||
if (s.niveau) {
|
||||
const w = doc.getTextWidth(s.sprache);
|
||||
doc.setTextColor(C.sideLabel[0], C.sideLabel[1], C.sideLabel[2]);
|
||||
doc.text(` – ${s.niveau}`, SIDE_X + w, cur.y + 9 * S * PT * 0.76);
|
||||
}
|
||||
x += w + gapX;
|
||||
}
|
||||
st.y += chipH;
|
||||
return rows;
|
||||
cur.y += 9 * S * PT * 1.4;
|
||||
});
|
||||
}
|
||||
|
||||
return { st, textBlock, gap, rule, header, section, entryHead, bullets, chips };
|
||||
if (cv && cv.hobbys.length) {
|
||||
section('Hobbys');
|
||||
write(doc, S, dry, cur, cv.hobbys.join(' · '), { pt: 9, color: C.sideText, x: SIDE_X, width: SIDE_W, factor: 1.3 });
|
||||
}
|
||||
}
|
||||
|
||||
// Two-pass render: measure at scale 1, then draw scaled to fit one page.
|
||||
function renderSinglePage(compose) {
|
||||
// ----- main column ---------------------------------------------------------
|
||||
|
||||
function mainSection(doc, S, dry, cur, title) {
|
||||
cur.y += 3.5 * S;
|
||||
write(doc, S, dry, cur, title, { pt: 13, style: 'bold', color: C.ink, x: MAIN_X, width: MAIN_W, charSpace: 0.5, upper: true, factor: 1.0 });
|
||||
cur.y += 2.2 * S;
|
||||
rule(doc, S, dry, cur.y, MAIN_X, MAIN_X + 15, C.accent, 1.1);
|
||||
cur.y += 6 * S;
|
||||
}
|
||||
|
||||
// One dated entry: date in the left gutter, content to the right.
|
||||
function mainEntry(doc, S, dry, cur, { zeitraum, title, sub, note, desc }) {
|
||||
const startY = cur.y;
|
||||
// date (own baseline, doesn't drive the cursor)
|
||||
if (!dry && zeitraum) {
|
||||
doc.setFont('helvetica', 'bold');
|
||||
doc.setFontSize(8.5 * S);
|
||||
doc.setTextColor(C.gray[0], C.gray[1], C.gray[2]);
|
||||
const dl = doc.splitTextToSize(zeitraum, DATE_W);
|
||||
dl.forEach((ln, i) => doc.text(ln, MAIN_X, startY + 11.5 * S * PT * 0.76 + i * 8.5 * S * PT * 1.2));
|
||||
}
|
||||
if (title) write(doc, S, dry, cur, title, { pt: 11.5, style: 'bold', color: C.ink, x: ENTRY_X, width: ENTRY_W, factor: 1.22 });
|
||||
if (sub) write(doc, S, dry, cur, sub, { pt: 10, style: 'bold', color: C.company, x: ENTRY_X, width: ENTRY_W, factor: 1.25 });
|
||||
if (note) write(doc, S, dry, cur, note, { pt: 9, style: 'italic', color: C.gray, x: ENTRY_X, width: ENTRY_W, factor: 1.25 });
|
||||
if (desc) { cur.y += 0.6 * S; write(doc, S, dry, cur, desc, { pt: 9.3, color: C.gray, x: ENTRY_X, width: ENTRY_W, factor: 1.35 }); }
|
||||
cur.y += 5 * S;
|
||||
}
|
||||
|
||||
function composeMainCV(doc, S, dry, cur, { cv }) {
|
||||
if (cv.berufserfahrung.length) {
|
||||
mainSection(doc, S, dry, cur, 'Berufserfahrung');
|
||||
cv.berufserfahrung.forEach((e) => mainEntry(doc, S, dry, cur, {
|
||||
zeitraum: e.zeitraum, title: e.titel, sub: e.firma, desc: e.beschreibung,
|
||||
}));
|
||||
}
|
||||
if (cv.ausbildung.length) {
|
||||
mainSection(doc, S, dry, cur, 'Ausbildung');
|
||||
cv.ausbildung.forEach((e) => mainEntry(doc, S, dry, cur, {
|
||||
zeitraum: e.zeitraum, title: e.abschluss, sub: e.institution, note: e.zusatz,
|
||||
}));
|
||||
}
|
||||
}
|
||||
|
||||
function composeMainLetter(doc, S, dry, cur, { letter, header, job }) {
|
||||
const today = new Date().toLocaleDateString('de-DE', { day: '2-digit', month: '2-digit', year: 'numeric' });
|
||||
const betreff = letter.betreff || (job.stelle ? `Bewerbung als ${job.stelle}` : 'Bewerbung');
|
||||
|
||||
cur.y += 4 * S;
|
||||
if (job.firma) write(doc, S, dry, cur, job.firma, { pt: 10.5, style: 'bold', color: C.ink, x: MAIN_X, width: MAIN_W, factor: 1.25 });
|
||||
if (job.ort) write(doc, S, dry, cur, job.ort, { pt: 10, color: C.gray, x: MAIN_X, width: MAIN_W, factor: 1.25 });
|
||||
|
||||
cur.y += 4 * S;
|
||||
const dateLine = header.ort ? `${header.ort}, den ${today}` : today;
|
||||
write(doc, S, dry, cur, dateLine, { pt: 10, color: C.gray, x: MAIN_X, width: MAIN_W, align: 'right', right: MAIN_R, factor: 1.2 });
|
||||
|
||||
cur.y += 4 * S;
|
||||
write(doc, S, dry, cur, betreff, { pt: 12, style: 'bold', color: C.ink, x: MAIN_X, width: MAIN_W, factor: 1.25 });
|
||||
|
||||
cur.y += 3.5 * S;
|
||||
if (letter.anrede) { write(doc, S, dry, cur, letter.anrede, { pt: 10.5, color: C.ink, x: MAIN_X, width: MAIN_W, factor: 1.35 }); cur.y += 2 * S; }
|
||||
letter.absaetze.forEach((p, i) => {
|
||||
if (i > 0) cur.y += 2.6 * S;
|
||||
write(doc, S, dry, cur, p, { pt: 10.5, color: C.ink, x: MAIN_X, width: MAIN_W, factor: 1.45 });
|
||||
});
|
||||
|
||||
cur.y += 4.5 * S;
|
||||
if (letter.gruss) write(doc, S, dry, cur, letter.gruss, { pt: 10.5, color: C.ink, x: MAIN_X, width: MAIN_W, factor: 1.3 });
|
||||
cur.y += 8 * S;
|
||||
write(doc, S, dry, cur, header.name, { pt: 10.5, style: 'bold', color: C.ink, x: MAIN_X, width: MAIN_W, factor: 1.2 });
|
||||
}
|
||||
|
||||
// ----- two-column page assembly (measure → scale → draw) -------------------
|
||||
|
||||
function renderTwoColumn(composeSide, composeMain) {
|
||||
const doc = new jsPDF({ unit: 'mm', format: 'a4' });
|
||||
|
||||
const measured = makeWriter(doc, 1, true);
|
||||
compose(measured);
|
||||
const contentH = measured.st.y - PAGE.marginTop;
|
||||
const availH = PAGE.h - PAGE.marginTop - PAGE.marginBottom;
|
||||
let scale = 1;
|
||||
if (contentH > availH) scale = Math.max(MIN_SCALE, (availH / contentH) * 0.99);
|
||||
// measure both columns at scale 1
|
||||
const sm = { y: TOP }; composeSide(doc, 1, true, sm);
|
||||
const mm = { y: TOP }; composeMain(doc, 1, true, mm);
|
||||
const need = Math.max(sm.y, mm.y) - TOP;
|
||||
const avail = PAGE.h - TOP - BOTTOM;
|
||||
let S = 1;
|
||||
if (need > avail) S = Math.max(MIN_SCALE, (avail / need) * 0.99);
|
||||
|
||||
const drawer = makeWriter(doc, scale, false);
|
||||
compose(drawer);
|
||||
// draw
|
||||
doc.setFillColor(C.navy[0], C.navy[1], C.navy[2]);
|
||||
doc.rect(0, 0, SIDEBAR_W, PAGE.h, 'F');
|
||||
composeSide(doc, S, false, { y: TOP });
|
||||
composeMain(doc, S, false, { y: TOP });
|
||||
|
||||
return Buffer.from(doc.output('arraybuffer'));
|
||||
}
|
||||
|
||||
function buildHeader(settings, kontakt) {
|
||||
const name = (settings && settings.name) || '';
|
||||
const adresse = (settings && settings.adresse) || '';
|
||||
return { name, adresse, ...kontakt };
|
||||
}
|
||||
|
||||
function contactParts(header) {
|
||||
return [header.adresse, header.email, header.telefon, header.webseite].filter(Boolean);
|
||||
function buildHeader(settings, kontakt, headline) {
|
||||
return {
|
||||
name: (settings && settings.name) || '',
|
||||
adresse: (settings && settings.adresse) || '',
|
||||
headline,
|
||||
...kontakt,
|
||||
};
|
||||
}
|
||||
|
||||
function renderLebenslaufPdf(cv, header) {
|
||||
return renderSinglePage((w) => {
|
||||
w.header(header.name, contactParts(header));
|
||||
|
||||
if (cv.profil) {
|
||||
w.textBlock(cv.profil, { pt: 10, col: COLORS.sub, factor: 1.35 });
|
||||
w.gap(1.5);
|
||||
}
|
||||
|
||||
if (cv.berufserfahrung.length) {
|
||||
w.section('Berufserfahrung');
|
||||
cv.berufserfahrung.forEach((e, i) => {
|
||||
if (i > 0) w.gap(2.6);
|
||||
w.entryHead(e.titel, e.zeitraum);
|
||||
if (e.firma) w.textBlock(e.firma, { pt: 9.7, style: 'bold', col: COLORS.accent, factor: 1.2 });
|
||||
if (e.punkte.length) { w.gap(0.6); w.bullets(e.punkte); }
|
||||
});
|
||||
}
|
||||
|
||||
if (cv.ausbildung.length) {
|
||||
w.section('Ausbildung');
|
||||
cv.ausbildung.forEach((e, i) => {
|
||||
if (i > 0) w.gap(1.8);
|
||||
w.entryHead(e.abschluss, e.zeitraum);
|
||||
if (e.institution) w.textBlock(e.institution, { pt: 9.7, col: COLORS.muted, factor: 1.2 });
|
||||
});
|
||||
}
|
||||
|
||||
if (cv.kenntnisse.length) {
|
||||
w.section('Kenntnisse');
|
||||
w.chips(cv.kenntnisse);
|
||||
w.gap(1);
|
||||
}
|
||||
|
||||
if (cv.sprachen.length) {
|
||||
w.section('Sprachen');
|
||||
const line = cv.sprachen.map((s) => (s.niveau ? `${s.sprache} (${s.niveau})` : s.sprache)).join(' · ');
|
||||
w.textBlock(line, { pt: 10, col: COLORS.ink, factor: 1.25 });
|
||||
}
|
||||
});
|
||||
return renderTwoColumn(
|
||||
(doc, S, dry, cur) => composeSidebar(doc, S, dry, cur, { header, cv }),
|
||||
(doc, S, dry, cur) => composeMainCV(doc, S, dry, cur, { cv })
|
||||
);
|
||||
}
|
||||
|
||||
function renderAnschreibenPdf(letter, header, job) {
|
||||
const today = new Date().toLocaleDateString('de-DE', { day: '2-digit', month: '2-digit', year: 'numeric' });
|
||||
const betreff = letter.betreff || (job.stelle ? `Bewerbung als ${job.stelle}` : 'Bewerbung');
|
||||
return renderSinglePage((w) => {
|
||||
w.header(header.name, contactParts(header));
|
||||
|
||||
// Recipient block
|
||||
if (job.firma) w.textBlock(job.firma, { pt: 10, style: 'bold', col: COLORS.ink, factor: 1.25 });
|
||||
if (job.ort) w.textBlock(job.ort, { pt: 10, col: COLORS.sub, factor: 1.25 });
|
||||
|
||||
// Date (right-aligned)
|
||||
w.gap(3);
|
||||
const dateLine = header.ort ? `${header.ort}, den ${today}` : today;
|
||||
w.textBlock(dateLine, { pt: 10, col: COLORS.muted, align: 'right', factor: 1.2 });
|
||||
|
||||
// Subject
|
||||
w.gap(4);
|
||||
w.textBlock(betreff, { pt: 11.5, style: 'bold', col: COLORS.ink, factor: 1.25 });
|
||||
|
||||
// Salutation + body
|
||||
w.gap(3.5);
|
||||
if (letter.anrede) { w.textBlock(letter.anrede, { pt: 10.5, factor: 1.35 }); w.gap(2); }
|
||||
letter.absaetze.forEach((p, i) => {
|
||||
if (i > 0) w.gap(2.6);
|
||||
w.textBlock(p, { pt: 10.5, col: COLORS.ink, factor: 1.42 });
|
||||
});
|
||||
|
||||
// Closing + name
|
||||
w.gap(4);
|
||||
if (letter.gruss) w.textBlock(letter.gruss, { pt: 10.5, factor: 1.3 });
|
||||
w.gap(7);
|
||||
w.textBlock(header.name, { pt: 10.5, style: 'bold', col: COLORS.ink, factor: 1.2 });
|
||||
});
|
||||
return renderTwoColumn(
|
||||
(doc, S, dry, cur) => composeSidebar(doc, S, dry, cur, { header, cv: null }),
|
||||
(doc, S, dry, cur) => composeMainLetter(doc, S, dry, cur, { letter, header, job })
|
||||
);
|
||||
}
|
||||
|
||||
// ----- Public entry point --------------------------------------------------
|
||||
// ===========================================================================
|
||||
// 3. Public entry point
|
||||
// ===========================================================================
|
||||
|
||||
function hasAnschreiben(a) { return a && a.absaetze && a.absaetze.length > 0; }
|
||||
function hasLebenslauf(l) {
|
||||
return l && (l.berufserfahrung.length || l.ausbildung.length || l.kenntnisse.length || l.profil);
|
||||
return l && (l.berufserfahrung.length || l.ausbildung.length || l.kenntnisse.length);
|
||||
}
|
||||
|
||||
// Build the list of attachment documents (PDF buffers) for a job.
|
||||
// Returns [{ name, filename, mime, buffer }].
|
||||
async function generateApplicationDocuments({ job, basisDokumente, settings }) {
|
||||
const data = await generateTailoredTexts({ job, basisDokumente, settings });
|
||||
const header = buildHeader(settings, data.kontakt);
|
||||
const headline = data.headline || job.stelle || '';
|
||||
const header = buildHeader(settings, data.kontakt, headline);
|
||||
|
||||
const safe = (s) => String(s || '').replace(/[^a-zA-Z0-9äöüÄÖÜß _-]/g, '').replace(/\s+/g, '_').slice(0, 60) || 'Bewerbung';
|
||||
const suffix = safe(job.firma || job.stelle || 'Bewerbung');
|
||||
|
||||
Reference in New Issue
Block a user