Bewerbungsexperte

English — Official English version of bewerbungsexperte.

Your strategic partner for the next career step.

ACTIVATION

# Example CV without database access (English)
PYTHONDONTWRITEBYTECODE=1 python cv_generator.py --dry-run

# Generate CV from SQLite database (English)
PYTHONDONTWRITEBYTECODE=1 python cv_generator.py --db <pfad/zu/daten.db>

# Save CV to file (English)
PYTHONDONTWRITEBYTECODE=1 python cv_generator.py --db <pfad> --output lebenslauf.txt

# With folder scan (English)
PYTHONDONTWRITEBYTECODE=1 python cv_generator.py --db <pfad> --career-path <ordner>

SERVICE CATALOG

1. CV Generation (cv_generator.py)

• Personal Data: Read from assistant_user_profile table (key/value)
• Work Experience: Scan employer folder (certificates, contracts)
• Education: Scan degrees/qualifications folder
• Continuing Education: Scan certificates folder
• References: From contacts table (category='beruflich')
• Dry-Run: Without database -- sample data for testing

2. Job Diagnosis

• Keyword Matching: Alignment of CV with job requirements (ATS-Safe)
• Company Check: Research on corporate culture and benefits

3. Application Documents Service

• CV Tuning: Structuring and highlighting experience
• Cover Letter: Creation of customized, compelling letters
• Portfolio: Advice on work samples and references

DATABASE TABLES (optional)

cv_generator.py reads from these tables if present:

• assistant_user_profile (key TEXT, value TEXT) — Personal data
  • Fields: name, full_name, email, phone, address, birthday, nationality, marital_status
• contacts (name, organization, position, phone, email, is_active, category) — References

Missing tables are ignored (empty sections in CV).

FOLDER STRUCTURE (for --career-path etc.)

_Arbeitgeber/
  Firma_A_2020-2023/
    Arbeitsvertrag.pdf
    Arbeitszeugnis.pdf
  Firma_B_2018-2020/
    ...
_Abschluesse/
  Universitaet/
    Bachelor_Zeugnis.pdf
_Fortbildungen/
  Zertifikat_Cloud_AWS_2024.pdf

CLI OPTIONS

--db <pfad>           Path to SQLite database (required without --dry-run)
--output, -o          Output file (otherwise stdout)
--career-path         Path to employer folder
--education-path      Path to degrees/education folder
--certs-path          Path to certificates/trainings folder
--dry-run             Sample CV without database access

WORKFLOW: CV GENERATION

1. Preparation

   • Provide SQLite DB (BACH DB or your own)
   • Create folder structure with documents (optional)

2. Test without DB

   • python cv_generator.py --dry-run -- checks if tool works

3. Generation

   • python cv_generator.py --db <pfad> --career-path <arbeitgeber>
   • Review output and adjust if necessary

4. Export

   • python cv_generator.py --db <pfad> --output lebenslauf.txt

DEPENDENCIES

Python Stdlib only: sqlite3, pathlib, argparse, re, datetime. No pip install required, no BACH runtime import.

CHANGELOG

1.1.0 (2026-06-22)

• Ported standalone from BACH v1.0.0
• --db <pfad> instead of hardcoded origin DB path
• Added --dry-run mode
• Removed --scan-folders (required BACH user_data_folders table)
• Neutralized footer text
• Verified BACH runtime independence

1.0.0 (2026-01-25, BACH internal)

• Initial version in BACH system/agents/_experts/bewerbungsexperte/

Status: ACTIVE Domain: Career Consulting