damir
1d02c0897d
- pgz nav now includes /erp/full, /crm/v2, /admin/users, /dokumenti
- 4 dokumenti endpoints: list, godišnjaci/list, godišnjak/{godina} PDF, detail
- 18 godišnjaka u pgz_sport.dokumenti (2006-2024) with savez_id=333
- PGŽ filter helpers (window._pgz_filter_priority, togglePGZFilter)
- navItemClick handler for nav items with href
151 lines
6.9 KiB
Python
Executable File
151 lines
6.9 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Godišnjak pipeline v2 — popravljen za pravu shemu.
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"""
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import os, sys, hashlib, requests, re
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from pathlib import Path
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import psycopg2
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from psycopg2.extras import RealDictCursor
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import pypdf
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DSN = "host=10.10.0.2 port=6432 dbname=rinet_v3 user=rinet password=R1net2026!SecureDB#v7"
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UPLOAD_DIR = Path('/opt/pgz-sport/uploads/godisnjaci')
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UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
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# 18 godišnjaka 2006-2024 (otkriveni scrapeom)
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GODISNJAK_URLS = [
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("https://sport-pgz.hr/upload/dokumenti/publikacije/godisnjak-2006-print.pdf", 2006),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2007.pdf", 2007),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2008.pdf", 2008),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2009.pdf", 2009),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2010.pdf", 2010),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/sportski-godisnjak-2011_2025-10-07-125709_xcqb.pdf", 2011),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2012.pdf", 2012),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2013.pdf", 2013),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2014.pdf", 2014),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2015.pdf", 2015),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/sportski-godisnjak-2017.pdf", 2017),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2018.pdf", 2018),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2019.pdf", 2019),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2020.pdf", 2020),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/Sportski-godisnjak-2021.pdf", 2021),
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("https://sport-pgz.hr/upload/dokumenti/sportski-godisnjaci/ZSPGZ-Sportski-godisnjak-2022.pdf", 2022),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/ZSPGZ-Sportski-godisnjak-2023-2024-06-07_web.pdf", 2023),
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("https://sport-pgz.hr/upload/dokumenti/publikacije/ZSPGZ-Sportski-godisnjak-2024-2025-09-18_web.pdf", 2024),
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]
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def download_pdf(url, dest):
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if dest.exists() and dest.stat().st_size > 1000:
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print(f" [cached] {dest.name} ({dest.stat().st_size//1024}KB)")
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return dest
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try:
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r = requests.get(url, headers={"User-Agent":"Mozilla/5.0"}, timeout=120, allow_redirects=True)
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if r.status_code == 200 and len(r.content) > 1000:
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dest.write_bytes(r.content)
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return dest
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else:
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print(f" ✗ HTTP {r.status_code}")
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except Exception as e:
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print(f" ERR: {e}")
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return None
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def parse_pdf(path):
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try:
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r = pypdf.PdfReader(str(path))
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text = ''
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for p in r.pages:
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try: text += (p.extract_text() or '') + '\n'
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except: pass
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return text, len(r.pages)
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except Exception as e:
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return '', 0
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def main():
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conn = psycopg2.connect(DSN); conn.autocommit = True
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# Get chunks table column name
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with conn.cursor() as cur:
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cur.execute("""
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SELECT column_name FROM information_schema.columns
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WHERE table_schema='pgz_sport' AND table_name='dokument_chunks'
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""")
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cols = [r[0] for r in cur.fetchall()]
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print(f"dokument_chunks columns: {cols}")
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parsed_count = 0
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for url, godina in GODISNJAK_URLS:
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title = f"Sportski godišnjak ZSPGZ {godina}"
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fname = f"sportski-godisnjak-{godina}.pdf"
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dest = UPLOAD_DIR / fname
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print(f"\n📄 {title}")
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downloaded = download_pdf(url, dest)
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if not downloaded:
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continue
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# Compute SHA1
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sha1 = hashlib.sha1(downloaded.read_bytes()).hexdigest()
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text, pages = parse_pdf(downloaded)
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if not text:
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print(f" ✗ parse failed")
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continue
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print(f" ✓ {pages} pages, {len(text)} chars")
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# UPSERT u dokumenti
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with conn.cursor(cursor_factory=RealDictCursor) as cur:
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# Check if exists by sha1
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cur.execute("SELECT id FROM pgz_sport.dokumenti WHERE sha1 = %s LIMIT 1", (sha1,))
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existing = cur.fetchone()
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if existing:
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doc_id = existing['id']
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cur.execute("""
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UPDATE pgz_sport.dokumenti
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SET title = %s, godina = %s, vrsta = 'sportski-godisnjak',
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url = %s, pdf_url = %s, sadrzaj = %s,
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sluzbeni_glasnik = 'ZSPGZ', razina = 'zupanijska',
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organizacija = 'Zajednica sportova Primorsko-goranske županije',
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izvor_url = %s, last_updated = now()
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WHERE id = %s
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""", (title, godina, url, url, text[:500000], 'https://sport-pgz.hr', doc_id))
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print(f" ↻ UPDATE id={doc_id}")
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else:
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cur.execute("""
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INSERT INTO pgz_sport.dokumenti
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(title, fname, vrsta, godina, url, pdf_url, sha1, sadrzaj,
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sluzbeni_glasnik, razina, organizacija, izvor_url)
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VALUES (%s, %s, 'sportski-godisnjak', %s, %s, %s, %s, %s,
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'ZSPGZ', 'zupanijska', 'Zajednica sportova PGŽ', 'https://sport-pgz.hr')
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RETURNING id
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""", (title, fname, godina, url, url, sha1, text[:500000]))
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doc_id = cur.fetchone()['id']
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print(f" + INSERT id={doc_id}")
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# Chunks (proper schema)
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if 'idx' in cols or 'chunk_idx' in cols or 'page' in cols or 'i' in cols:
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with conn.cursor() as cur:
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cur.execute("DELETE FROM pgz_sport.dokument_chunks WHERE dokument_id = %s", (doc_id,))
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# Find INSERT pattern by columns
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idx_col = 'idx' if 'idx' in cols else ('chunk_idx' if 'chunk_idx' in cols else ('i' if 'i' in cols else 'page'))
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content_col = 'content' if 'content' in cols else ('chunk' if 'chunk' in cols else ('text' if 'text' in cols else 'sadrzaj'))
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chunks = [text[i:i+1000] for i in range(0, len(text), 800)]
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for i, ch in enumerate(chunks[:300]):
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if len(ch.strip()) > 50:
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try:
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cur.execute(f"""
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INSERT INTO pgz_sport.dokument_chunks (dokument_id, {idx_col}, {content_col})
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VALUES (%s, %s, %s)
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""", (doc_id, i, ch))
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except Exception as e:
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print(f" ERR chunk {i}: {e}"); break
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parsed_count += 1
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print(f"\n✅ Done. Parsed: {parsed_count}/{len(GODISNJAK_URLS)}")
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if __name__ == '__main__':
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main()
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