import json, sys
path = "/var/www/html/peta/storage/app/propertylab-catalogue-match/review/r2_batch_03_in.jsonl"
start = int(sys.argv[1]) if len(sys.argv) > 1 else 0
end = int(sys.argv[2]) if len(sys.argv) > 2 else 10**9
keys_seen = set()
with open(path) as f:
    for i, line in enumerate(f):
        if i < start or i >= end:
            continue
        d = json.loads(line)
        r = d["realtycheck"]
        keys_seen |= set(d.keys())
        print(f"#{i} {d['case']} R: {r['name']} | {r['category']} | {r['state']}/{r.get('district') or '-'}/{r.get('mukim') or '-'} | prec={r.get('coord_precision')} | psf={r.get('psf')} | med={r.get('median_price_rm')}")
        extra = {k: v for k, v in d.items() if k not in ('case', 'realtycheck', 'catalogue_candidates')}
        if extra:
            print("   EXTRA:", json.dumps(extra, ensure_ascii=False))
        rextra = {k: v for k, v in r.items() if k not in ('name','category','state','district','mukim','coord_precision','psf','median_price_rm')}
        if rextra:
            print("   REXTRA:", json.dumps(rextra, ensure_ascii=False))
        for c in d["catalogue_candidates"]:
            ce = {k: v for k, v in c.items() if k not in ('k','name','area','state','type','dist_m','psf_median','price_median','completion_year','sale_status','tenure')}
            ratio = ''
            if c.get('price_median') and r.get('median_price_rm'):
                ratio = f" ratio={r['median_price_rm']/c['price_median']:.2f}"
            psfr = ''
            if c.get('psf_median') and r.get('psf'):
                psfr = f" psfr={r['psf']/c['psf_median']:.2f}"
            print(f"   [{c['k']}] {c['name']} | {c.get('area')}, {c.get('state')} | {c.get('type')} | d={c.get('dist_m')} | psf={c.get('psf_median')} | med={c.get('price_median')}{ratio}{psfr} | {c.get('completion_year')} {c.get('sale_status')} {c.get('tenure')}" + (f" | {json.dumps(ce, ensure_ascii=False)}" if ce else ''))
        print()