#!/usr/bin/env python3
from dotenv import load_dotenv
load_dotenv('/opt/rinet-gpu/.env.master')
# auto-added by patch_scrapers_with_dotenv.sh
# pgz_sport_deep.py — Deep scrape sport-pgz.hr + pgz.hr/sport
import os, sys, time, hashlib, logging, re
from urllib.parse import urljoin, urlparse
import urllib.request
import psycopg2
from html import unescape

logging.basicConfig(level=logging.INFO, format='%(asctime)s [pgz_deep] %(message)s')
log = logging.getLogger("pgz_deep")

DSN = f"host=10.10.0.2 port=6432 dbname=rinet_v3 user=rinet password={os.environ['DB_PASSWORD']}"
UA = "Mozilla/5.0 (Ri.NET Bot 1.0; contact: dradulic@outlook.com)"

ROOTS = [
    "https://sport-pgz.hr",
    "https://www.pgz.hr/teme/sport/",
    "https://www.pgz.hr/sport/",
    "https://www.pgz.hr/o-zupaniji/upravna-tijela/upravni-odjel-za-kulturu-sport-tehnicku-kulturu/",
]

def fetch(url, retries=3):
    for i in range(retries):
        try:
            req = urllib.request.Request(url, headers={"User-Agent": UA})
            with urllib.request.urlopen(req, timeout=20) as r:
                return r.read().decode('utf-8', errors='replace'), r.status
        except Exception as e:
            time.sleep(3*(i+1))
    return None, 0

def extract_text(html):
    if not html: return ""
    text = re.sub(r'<script[^>]*>.*?</script>', '', html, flags=re.S|re.I)
    text = re.sub(r'<style[^>]*>.*?</style>', '', text, flags=re.S|re.I)
    text = re.sub(r'<[^>]+>', ' ', text)
    text = unescape(text)
    return re.sub(r'\s+', ' ', text).strip()

def find_links(html, base):
    if not html: return []
    out = []
    for m in re.finditer(r'href=["\']([^"\']+)["\']', html, re.I):
        u = urljoin(base, m.group(1))
        host = urlparse(u).hostname or ""
        if any(d in host for d in ['pgz.hr', 'sport-pgz.hr']):
            out.append(u)
    return list(set(out))

def find_pdf_links(html, base):
    if not html: return []
    out = []
    for m in re.finditer(r'href=["\']([^"\']+\.pdf)["\']', html, re.I):
        out.append(urljoin(base, m.group(1)))
    return list(set(out))

def harvest():
    conn = psycopg2.connect(DSN)
    conn.autocommit = True
    cur = conn.cursor()
    
    visited = set()
    queue = list(ROOTS)
    docs = 0
    facts = 0
    pdfs_logged = 0
    
    while queue and len(visited) < 300:
        url = queue.pop(0)
        if url in visited: continue
        visited.add(url)
        
        html, status = fetch(url)
        if not html or status != 200: 
            time.sleep(1)
            continue
        
        log.info(f"[{status}] {url[:80]} ({len(html)} bytes)")
        text = extract_text(html)
        if len(text) < 100: continue
        
        title_m = re.search(r'<title[^>]*>([^<]+)</title>', html, re.I)
        title = title_m.group(1).strip() if title_m else url[:80]
        sha1 = hashlib.sha1(text[:5000].encode()).hexdigest()
        
        try:
            cur.execute("""
                INSERT INTO pgz_sport.dokumenti
                    (url, fname, title, sadrzaj, vrsta, izvor_url, scraped_at, sha1, organizacija)
                VALUES (%s, %s, %s, %s, %s, %s, now(), %s, %s)
                ON CONFLICT DO NOTHING
            """, (url, url.split('/')[-1][:100], title[:200], text[:50000], 'web', url, sha1, 'PGŽ'))
            docs += cur.rowcount
        except Exception as e:
            log.warning(f"Doc insert fail: {e}")
        
        # PDF links — log them
        for pdf_url in find_pdf_links(html, url):
            try:
                pdf_sha = hashlib.sha1(pdf_url.encode()).hexdigest()
                cur.execute("""
                    INSERT INTO pgz_sport.dokumenti
                        (url, pdf_url, fname, title, vrsta, izvor_url, scraped_at, sha1, organizacija)
                    VALUES (%s, %s, %s, %s, %s, %s, now(), %s, %s)
                    ON CONFLICT DO NOTHING
                """, (pdf_url, pdf_url, pdf_url.split('/')[-1][:100], 
                      pdf_url.split('/')[-1][:200], 'pdf', url, pdf_sha, 'PGŽ'))
                pdfs_logged += cur.rowcount
            except: pass
        
        # Knowledge facts — sport relevant 
        if any(kw in text.lower() for kw in ['sport', 'klub', 'savez', 'sportaš', 'sportaši', 'natjecanj', 'manifestacij', 'javne potrebe', 'sufinancir', 'kup', 'prvenstvo', 'liga', 'utakm', 'igrač', 'trener', 'olimpij', 'paraolimpij', 'turn', 'medalj', 'pobjed', 'gradonaceln', 'župan', 'rijeka', 'pgž', 'primorsko', 'subvenc', 'natječaj', 'odluka', 'proračun', 'rebal']):
            # Save chunk as fact
            chunks = [text[i:i+800] for i in range(0, min(len(text), 5000), 800)]
            for ci, chunk in enumerate(chunks[:5]):
                if len(chunk) < 200: continue
                fact_hash = hashlib.sha256((url + str(ci) + chunk[:100]).encode()).hexdigest()
                try:
                    cur.execute("""
                        INSERT INTO dabi.knowledge
                            (fact, category, source, source_url, source_date, confidence, data_hash)
                        VALUES (%s, 'pgz_sport_official', 'pgz_sport_deep', %s, CURRENT_DATE, 0.85, %s)
                        ON CONFLICT (data_hash) DO NOTHING
                    """, (chunk[:1500].replace('\x00', ''), url, fact_hash))
                    facts += cur.rowcount
                except: pass
        
        # Follow links
        links = find_links(html, url)
        for l in links[:25]:
            if l not in visited and l not in queue:
                queue.append(l)
    
    log.info(f"FINAL: visited={len(visited)} docs={docs} pdfs={pdfs_logged} facts={facts}")
    cur.close()
    conn.close()

if __name__ == "__main__":
    harvest()