import db, tailor, scraper, audit

db.init_db()

# 1. internet check via urllib
try:
    import urllib.request
    urllib.request.urlopen("https://remoteok.com/api", timeout=10)
    print("INTERNET: reachable")
except Exception as e:
    print("INTERNET: blocked ->", type(e).__name__)

# 2. synthetic job -> full pipeline
job = {
    "title": "Senior DevOps Engineer",
    "company": "Acme",
    "description": "Seeking a Linux systems engineer with Proxmox, Docker, Python automation, and networking experience.",
}
print("TRACK:", tailor.classify_track(job))
tracks, master = tailor.build_master(job)
print("TRACKS USED:", tracks, "| master chars:", len(master))
score, opinion = tailor.score_job(job)
print("SCORE:", score, "| OPINION:", opinion[:80])
t = tailor.tailor_resume(job)
print("TAILORED chars:", len(t), "| header:", t.split("\n")[0][:60])
subj = tailor.make_subject(job)
body = tailor.draft_email(job, t)
jid = db.upsert_job(job["title"], job["company"], "", "https://example.com/j1", "test", job["description"])
aid = db.create_application(jid, subject=subj, body=body)
checks = audit.run_audit(aid, db.get_job(jid), subj, body, t)
print("AUDIT:", [(c["item"], c["result"]) for c in checks])
print("ALL_PASS:", audit.all_pass(checks))

# 3. hydro classification test
hydro_job = {"title": "Head Grower", "description": "Hydroponic cultivation, IPM, greenhouse environment control, plant nutrition."}
print("HYDRO TRACK:", tailor.classify_track(hydro_job))
h_tracks, h_master = tailor.build_master(hydro_job)
print("HYDRO TRACKS USED:", h_tracks, "| has tech diff:", "Technical Differentiator" in h_master)