import re
import db, tailor, resume_pdf

db.init_db()
db.set_setting('llm_timeout', '5')  # force fallback so test is fast
import llm; llm.COOLDOWN = 5

for title, desc, track_expect in [
    ("DevOps Engineer", "Linux Docker Python Proxmox automation networking infrastructure", 'tech'),
    ("Head Grower", "hydroponic cultivation IPM greenhouse plant nutrition", 'hydro'),
    ("Delivery Driver", "route fleet logistics warehouse forklift", 'driving'),
]:
    job = {"title": title, "company": "TestCo", "description": desc}
    track = tailor.classify_track(job)
    structured = tailor.structured_resume(job)
    text = tailor.structured_to_text(structured)
    pdf_path = resume_pdf.render(structured, out_path=f"/opt/procyon/data/resumes/test_{track}.pdf")
    raw = open(pdf_path, 'rb').read()
    m = re.search(rb'/Count (\d+)', raw)
    pages = int(m.group(1)) if m else -1
    print(f"[{track}] title={title!r} -> pages={pages}, skills={len(structured['skills'])}, "
          f"exp={len(structured.get('experience',[]))}, projects={'projects' in structured}, "
          f"pdf={len(raw)} bytes")
print("PDF_TEST_DONE")