V8 MEGA: meta endpoints + manifestacije + HNS V8 harvester batch

Endpoints: - /v2/potpore/meta — dropdown options (sportovi, vrste, davatelji, godine) - /v2/potpore/by-year — sport, vrsta filters - /v2/manifestacije/meta — mjesta, razine, organizatori - /v2/manifestacije — lista s filterima HNS: - 20 PGŽ priority klubova batch harvester pokrenut (HNK Goranin, HNK Orijent 1919, HNK Rijeka, NK Crikvenica, ...) - ETA 30 min
2026-05-05 18:10:02 +02:00
parent f07fdad919
commit a428363d42
6 changed files with 360 additions and 6 deletions
@@ -0,0 +1,67 @@
+#!/usr/bin/env python3
+"""EU projekti i fondovi PGZ."""
+import sys, json, time
+sys.path.insert(0, "/opt/pgz-sport/scrapers/harvesters")
+from _common import (fetch, extract_text, extract_title, chunk_text,
+                      upsert_facts, find_internal_links, DSN)
+from urllib.parse import urlparse
+import psycopg2
+
+EU = {
+    "eu_fondovi_pgz":      ["https://strukturnifondovi.hr/"],
+    "ri_eu_kreativnost":   ["https://rijeka2020.eu/"],
+    "rijeka_smartcity":    ["https://www.rijeka.hr/smart-city/"],
+    "agencija_unutarnji":  ["https://www.amenita.hr/"],
+    "ri_lokalna_akcijska": ["https://lag-rijeka.hr/"],
+    "agencija_jadranska":  ["https://www.adriatic-ionian.eu/"],
+    "interreg_kvarner":    ["https://www.italy-croatia.eu/"],
+    "horizon_pgz":         ["https://horizon-europe.gov.hr/"],
+    "epro_kvarner":        ["https://www.epro-kvarner.hr/"],
+    "leader_pgz":          ["https://www.leader-rijeka.hr/"],
+}
+
+
+def crawl(name, urls, max_pages=10):
+    conn = psycopg2.connect(DSN); conn.autocommit = True
+    visited = set(); queue = list(urls); facts = 0
+    while queue and len(visited) < max_pages:
+        url = queue.pop(0)
+        if url in visited: continue
+        visited.add(url)
+        html, status = fetch(url, timeout=15)
+        if not html or status != 200: continue
+        title = extract_title(html); text = extract_text(html)
+        if not text or len(text) < 200: continue
+        ff = []
+        if title and len(title) > 8:
+            ff.append({"fact": f"{name} - {title}", "url": url, "title": title})
+        for c in chunk_text(text, 800):
+            if len(c) > 100:
+                ff.append({"fact": c, "url": url, "title": title})
+        facts += upsert_facts(conn, ff, source_name=name,
+                               category="eu_projekti_pgz", confidence=0.84)
+        base = urlparse(url).hostname
+        for link in find_internal_links(html, url):
+            if link not in visited and (urlparse(link).hostname or "") == base and len(queue) < 25:
+                queue.append(link)
+        time.sleep(0.5)
+    conn.close()
+    return {"name": name, "visited": len(visited), "facts": facts}
+
+
+def main():
+    results = []
+    for name, urls in EU.items():
+        try:
+            r = crawl(name, urls, max_pages=10)
+            print(f"  {name:25} {r['visited']:>3}p  {r['facts']:>5}f")
+            results.append(r)
+        except Exception as e:
+            print(f"  {name:25} FAIL: {str(e)[:60]}")
+    total = sum(r.get("facts", 0) for r in results)
+    print(f"=== TOTAL: {total} ===")
+    print(json.dumps({"eu_count": len(results), "total_facts": total}))
+
+
+if __name__ == "__main__":
+    main()