damir
ae9c4e2bfd
DB: pgz_sport.sportski_objekti (103 objekti, 103 s geo, 60 s adresom, 31 tip) API: - /api/v2/sportski-objekti (filter: tip, grad, sport, q) - /api/v2/sportski-objekti/meta (tipovi, gradovi, sportovi, ukupno) Frontend: - /static/objekti.html — Leaflet (OpenStreetMap) interactive map - 3 dropdown filter (tip, grad, sport) + search - Side panel s listom + map markers s ikonama (🏟️⚽🏊⛵🎿🎳⛸️🎯🥌🏃) - Popup: naziv, tip, kapacitet, adresa, upravitelj, izgradeno, sportovi, web link, Google Maps link - /objekti, /sport/objekti, /sport/api/v2/sportski-objekti routes Sidebar app.html: +Sportski objekti link Background: scripts/objekti_enrich_address.py (Nominatim reverse-geocode 60 objekata bez adrese)
67 lines
2.6 KiB
Python
67 lines
2.6 KiB
Python
#!/usr/bin/env python3
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"""Osnovne i srednje škole + vrtići PGŽ."""
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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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SCHOOLS = {
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"srednje_skole_ri": ["https://www.skole.hr/skole/primorsko-goranska-zupanija"],
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"osnove_skole_ri": ["https://www.rijeka.hr/skole/"],
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"vrtici_pgz": ["https://www.pula.hr/hr/gradski-vrtic/"],
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"gimnazija_ri": ["https://www.gimnazija-rijeka.hr/"],
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"tehnicka_skola_ri": ["https://www.tehnicka-rijeka.hr/"],
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"ekonomska_skola_ri": ["https://www.ekonomska-rijeka.hr/"],
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"medicinska_skola_ri": ["https://www.medicinska-skola-rijeka.hr/"],
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"skole_opatija": ["https://www.opatija.hr/skole"],
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"skole_crikvenica": ["https://www.skole-crikvenica.hr/"],
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}
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def crawl(name, urls, max_pages=10):
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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="skole_pgz", confidence=0.86)
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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) < 30:
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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 SCHOOLS.items():
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try:
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r = crawl(name, urls, max_pages=8)
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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({"schools_count": len(results), "total_facts": total}))
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if __name__ == "__main__":
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main()
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