#!/usr/bin/env python3
"""Scrape en pris fra en URL via Scrapling. Returnerer heltal eller N/A."""
import sys, re, json

if len(sys.argv) < 2:
    print("N/A"); sys.exit(1)

url = sys.argv[1]

try:
    from scrapling import StealthyFetcher
except ImportError:
    print("ERROR:scrapling-not-installed"); sys.exit(1)

try:
    page = StealthyFetcher.fetch(url, stealthy_headers=True, auto_match=False)
except Exception as e:
    print(f"ERROR:{e}"); sys.exit(1)

# Metode 1: JSON-LD structured data
for el in page.css('script[type="application/ld+json"]'):
    try:
        obj = json.loads(el.get().extract())
        offers = obj.get('offers', {})
        if isinstance(offers, list): offers = offers[0] if offers else {}
        p = offers.get('price') or offers.get('lowPrice')
        if p:
            price = float(str(p).replace(',', '.'))
            if 100 < price < 100000:
                print(int(price)); sys.exit(0)
    except Exception: pass

# Metode 2: itemprop="price" content attribut
for el in page.css('[itemprop="price"]'):
    try:
        content = el.get().extract()
        m = re.search(r'content=["\']([0-9.,]+)["\']', content)
        if m:
            p = float(m.group(1).replace(',', '.'))
            if 100 < p < 100000:
                print(int(p)); sys.exit(0)
    except Exception: pass

# Metode 3: Next.js __NEXT_DATA__
for el in page.css('script#__NEXT_DATA__'):
    try:
        raw = el.get().extract()
        data = json.loads(raw.split('>', 1)[1].rsplit('<', 1)[0])
        prices = []
        def find_prices(obj, depth=0):
            if depth > 15: return
            if isinstance(obj, dict):
                for k, v in obj.items():
                    if k in ('price', 'lowestPrice', 'minPrice', 'amount'):
                        try:
                            p = float(str(v).replace(',', '.'))
                            if 100 < p < 100000: prices.append(p)
                        except Exception: pass
                    else: find_prices(v, depth+1)
            elif isinstance(obj, list):
                for item in obj: find_prices(item, depth+1)
        find_prices(data)
        if prices: print(int(min(prices))); sys.exit(0)
    except Exception: pass

# Metode 4: Synlig tekst (get_all_text) — undgår afbetalingspriser og SVG-data
visible = page.get_all_text(separator="\n")
# Ekskluder linjer med afdrag (kr./md, kr/måned, betalinger af)
lines = [l for l in visible.split("\n")
         if not re.search(r'kr\./md|kr/m[åa]ned|betalinger\s+af', l, re.I)]
text4 = "\n".join(lines)
matches4 = re.findall(r'(\d{1,2}[.\s]?\d{3}|\d{3,5})\s*(?:\xa0|[\s\u202f])*(?:kr\.?|DKK|,-)', text4)
prices4 = []
for raw in matches4:
    try:
        p = float(re.sub(r'[\s.]', '', raw))
        if 100 < p < 100000: prices4.append(p)
    except: pass
if prices4: print(int(min(prices4))); sys.exit(0)

print("N/A")