damir
007825acee
DB: - Aggressive je_klub=false flag for programs/treninzi/totals (>100K€ no klub_id) - 53 ne-klubovi flagged false (RSS Rijeka ukupni, Stručni rad, Potpora loptačkim, etc) Frontend (sport2.html): - Panel back button (← Natrag) + history stack - window._panelHistory + pushPanelState + panelBack functions - closePanel resets history
70 lines
2.7 KiB
Python
70 lines
2.7 KiB
Python
#!/usr/bin/env python3
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"""Obrazovanje PGZ — Sveuciliste + fakulteti + skole."""
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import sys, json, time
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sys.path.insert(0, "/opt/pgz-sport/scrapers/harvesters")
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from _common import (fetch, extract_text, extract_title, chunk_text,
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upsert_facts, find_internal_links, DSN)
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from urllib.parse import urlparse
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import psycopg2
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EDU = {
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"uniri": ["https://www.uniri.hr/"],
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"ffri": ["https://www.ffri.uniri.hr/"],
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"tfr": ["https://www.tehnickifakultet.uniri.hr/"],
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"pfri": ["https://www.pfri.uniri.hr/"],
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"med_fri": ["https://medri.uniri.hr/"],
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"efri": ["https://www.efri.uniri.hr/"],
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"pravniri": ["https://www.pravri.uniri.hr/"],
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"ufri": ["https://www.ufri.uniri.hr/"],
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"akademija_pri": ["https://www.apuri.uniri.hr/"],
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"ucitelji_ri": ["https://www.ufri.uniri.hr/"],
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"vss_ri": ["https://www.veleri.hr/"],
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"rkc_pgz": ["https://www.rkcrijeka.hr/"],
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}
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def crawl(name, urls, max_pages=15):
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conn = psycopg2.connect(DSN); conn.autocommit = True
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visited = set(); queue = list(urls); facts = 0
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while queue and len(visited) < max_pages:
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url = queue.pop(0)
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if url in visited: continue
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visited.add(url)
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html, status = fetch(url, timeout=15)
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if not html or status != 200: continue
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title = extract_title(html); text = extract_text(html)
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if not text or len(text) < 200: continue
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ff = []
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if title and len(title) > 8:
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ff.append({"fact": f"{name} - {title}", "url": url, "title": title})
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for c in chunk_text(text, 800):
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if len(c) > 100:
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ff.append({"fact": c, "url": url, "title": title})
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facts += upsert_facts(conn, ff, source_name=name,
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category="obrazovanje_pgz", confidence=0.88)
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base = urlparse(url).hostname
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for link in find_internal_links(html, url):
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if link not in visited and (urlparse(link).hostname or "") == base and len(queue) < 40:
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queue.append(link)
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time.sleep(0.5)
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conn.close()
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return {"name": name, "visited": len(visited), "facts": facts}
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def main():
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results = []
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for name, urls in EDU.items():
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try:
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r = crawl(name, urls, max_pages=15)
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print(f" {name:25} {r['visited']:>3}p {r['facts']:>5}f")
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results.append(r)
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except Exception as e:
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print(f" {name:25} FAIL: {str(e)[:60]}")
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total = sum(r.get("facts", 0) for r in results)
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print(f"=== TOTAL: {total} ===")
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print(json.dumps({"edu_count": len(results), "total_facts": total}))
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if __name__ == "__main__":
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main()
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