PGŽ Sport Platform — Round 1+2 baseline (sport2.html + API)

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+# HANDOFF v2 — Sport Scraping Pipeline za PGZ
+**Datum:** 03.05.2026 14:25 | **Verzija:** 9.0 (ULTRA-DETAILED) | **Autor:** Damir + Claude
+
+---
+
+## 0. TL;DR za novu sesiju
+
+Damir gradi **Palantir za PGZ sport** (kasnije cijela Hrvatska):
+- 525+ klubova iz svih saveza (HVS, HNS, HRS, HKS, HOS, HBS, HSS, HJS, HJK, HAS, HKaratS, HTS, HSTS, HSA, HOO)
+- Sve osobe + sve uloge (igrac, predsjednik, tajnik, trener, fizioterapeut, lijecnik, team manager, sudac)
+- Identifikator za svakog (OIB ili `external_id`)
+- Inteligentno fuzzy dedup (BEZ 5x istog kluba pod razlicitim imenom)
+- **Postojeca arhitektura, NE uvodi novo**
+- BRUTALNO EFIKASAN, bez podataka su nista
+
+**3-strike rule active.** Damir hvata lazi -> manual mode. Vec smo iskoristili 2 strike-a.
+
+---
+
+## 1. STACK STATE (verified 14:25)
+
+### Aktivni servisi
+| Servis | Port | Process | Status |
+|--------|------|---------|--------|
+| vLLM Qwen 2.5-7B AWQ | 8001 | vllm.entrypoints.openai.api_server (PID 3642939) | LIVE, GPU 40% util |
+| BGE-M3 Embedder | 9879 | /opt/rinet-gpu/embed_service.py (PID 3742571) | LIVE, 1024-dim |
+| Qdrant | 6333 | docker-proxy | LIVE, 30+ collections |
+| PostgreSQL | 5432 | postgres | LIVE |
+| PgBouncer | 6432 | pgbouncer | LIVE |
+| Ollama | 11434 | ollama (PID 3643099) | LIVE ali $HOME panic |
+| F10 LoRA | 8765 | python3 (PID 2383543) | LIVE ali endpoint 404 - BROKEN |
+
+### GPU stanje (vazno!)
+- 18209 / 20475 MiB (89% pun)
+- vLLM koristi gpu-memory-utilization 0.40 (~8 GB)
+- Embedder koristi ostalo (~10 GB)
+- **NE pokrecati 2. LLM ili novi embed batch** - FILE LOCK!
+
+### Korisni endpoint primjeri (TESTIRANI):
+
+**vLLM**:
+```bash
+curl -X POST http://localhost:8001/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d \'{"model":"Qwen/Qwen2.5-7B-Instruct-AWQ","messages":[{"role":"user","content":"OK"}],"max_tokens":5}\'
+# Response: {"choices":[{"message":{"content":"OK"}}]}
+```
+
+**Embedder** (input MORA biti list!):
+```bash
+curl -X POST http://localhost:9879/api/embeddings \
+  -H "Content-Type: application/json" \
+  -d \'{"model":"bge-m3","input":["VK Primorje"]}\'
+# Response: {"embedding":[-0.0175,0.0243,...]}  # 1024-dim
+```
+
+### Ako embedder ne odgovara:
+```bash
+systemctl restart rinet-embedder  # ili sl. service name
+```
+
+---
+
+## 2. CREDENTIALS / ENV
+
+```bash
+# Bridge API (svaki server-side komand)
+BRIDGE_URL=https://api.rinet.one/bridge/exec
+BRIDGE_KEY=rinet-yS4ZnKlwUqsjk
+# Body: {"cmd":"..."}  param je `cmd` ne `command`!
+
+# DB
+DB_HOST=localhost
+DB_PORT=6432  # PgBouncer
+DB_DIRECT=5432
+DB_NAME=rinet_v3
+DB_USER=rinet
+DB_PASS=R1net2026!SecureDB#v7
+
+# Cloud LLM (fallback ako vLLM zakaže)
+GROQ_API_KEY=SET (u /opt/rinet-gpu/.env.master)
+DEEPSEEK_API_KEY=SET
+GROQ_MODEL=llama-3.3-70b-versatile  # free tier
+DEEPSEEK_MODEL=deepseek-chat  # $0.14/M
+
+# Sudreg OAuth
+SUDREG_CLIENT_ID=SET (u .env.master)
+SUDREG_CLIENT_SECRET=SET
+TOKEN_URL=https://sudreg-data.gov.hr/api/oauth/token
+GRANT_TYPE=client_credentials
+
+# HVS rezultati JWT (produces 795 PGZ vaterpolo persons!)
+HVS_TOKEN=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJIVlMiLCJpYXQiOjE1Njg3MjI1MzEsImV4cCI6MTY1NTM0NTIyMywiYXVkIjoiSFZTIiwic3ViIjoiSFZTIiwiR2l2ZW5OYW1lIjoiSFZTIn0.iteM3Hewl0ugQVEDqPdg_7hHwRTxnSeFVg59vPH25uU
+
+# Telegram bot
+TG_BOT=8535797835:AAFItT-92jzZ9NWFafLxn0dLa1_n2s-JE5Y
+TG_CHAT=7969491558
+```
+
+---
+
+## 3. HVS API BREAKTHROUGH (replicirat za druge saveze!)
+
+### Discovery
+Damir je dao primjere `https://hvs.hr/igrac/6893/` (Matija Curic) i `/igrac/43303/`. Network sniff preko Playwright otkrio internal API.
+
+### API spec
+```
+POST https://rezultati.hvs.hr/api/?rubrika={rubrika}&id={id}
+Headers:
+  Content-Type: application/x-www-form-urlencoded
+  Origin: https://hvs.hr
+  Referer: https://hvs.hr/
+  User-Agent: Mozilla/5.0 ...
+Body: token=<HVS_TOKEN>
+```
+
+### Rubrike (testirane):
+| Rubrika | Output | Sample |
+|---------|--------|--------|
+| `person&id={pid}` | osoba detail + suigraci | `{data:{fname,lname,club,date,position,games,goals,saves,height,weight}, players3:{...}}` |
+| `team&id={tid}` | tim info + utakmice + statistika | `{info:{name,gender,category,logo}, utakmice:[10], stat:{A,B}}` |
+| `persongames&limit=N&id={pid}` | utakmice osobe | (testirat) |
+| `sticky&id={id_or_keyword}` | highlights / news | (testirat) |
+| `klubovi`, `clanovi`, `momcadi`, `roster`, `sastav`, `igraci` | -> `[]` empty | NE rade |
+
+### Performans
+50K player ID-eva u ~50 sekundi (parallel=20). 795 PGZ vaterpolo osoba unesene u DB.
+Skripta: `/tmp/hvs_mass.py` (saved on server).
+
+### Replikacija pattern za druge saveze
+- `rezultati.hbs.hr` (boćanje) - PROBE!
+- `rezultati.hks-cbf.hr` (košarka) - PROBE!
+- `rezultati.hns.hr` ili `rezultati.hns-cff.hr` (nogomet) - PROBE!
+- `rezultati.hjs.hr` (jedrenje) - PROBE!
+- `rezultati.has.hr` (atletika) - PROBE!
+- `rezultati.hrs.hr` -> Zoraxy gateway, skip
+
+Method: Playwright -> sync -> page.goto klub stranica -> on_request capture -> filter `rezultati.X.hr` -> extract token from POST body.
+
+---
+
+## 4. DAMIROV SEED LIST (zlato vrijedno!)
+
+### 4.1 Krovni / zupanijski savezi
+```
+Zajednica sportova PGZ:    https://sport-pgz.hr/        (scraped: 18 godisnjaka)
+Sportska zajednica Rijeke: http://rss.hr/
+Nogometni savez PGZ:       https://www.nspgz.hr/        (TODO: registar PGZ klubova)
+Sahovski savez PGZ:        https://www.sah-pgz.hr/      KLUB LIST: /klubovi/
+Kosarkaski savez PGZ:      https://kspgz.hr/            (NEW iz CSV)
+Rukometni savez PGZ:       https://rspgz.hr/            (NEW iz CSV)
+Bocarski savez PGZ:        https://bspgz.hr/            (NEW iz CSV)
+Ski savez PGZ:             https://ski-pgz.hr/          (NEW iz CSV)
+Pikado savez PGZ:          http://www.pikado-pgz.hr
+Parasport Rijeka:          https://www.ssoi-rijeka.hr/
+Parasport PGZ:             https://ssoi-pgz.hr/
+Skolski sport PGZ:         http://www.savezssd-pgz.hr/
+```
+
+### 4.2 Nacionalni savezi
+```
+HOO:        https://www.hoo.hr/                       (1447 docs scraped)
+HNS:        https://hns.family/                        (registar /hr/sportski-djelatnici/)
+HRS:        https://hrs.hr/                            (api.hrs.hr blokiran Zoraxy)
+HKS-CBF:    https://www.hks-cbf.hr/  ili https://hks-cbf.hr/  (natjecanja.hks-cbf.hr live)
+HVS:        https://hvs.hr/                            (DONE 795 osoba)
+HOS-CVF:    https://hos-cvf.hr/                        (odbojka)
+HBS-bocanje: https://hrvatski-bocarski-savez.hr/       (CSV ima drugaciji od mojeg `hbs.hr`!)
+HSS:        https://hrvatski-sahovski-savez.hr/        (sah)
+HSSRM:      https://www.hssrm.hr/                      (sport ribolov na moru)
+```
+
+### 4.3 PGZ klubovi s URL-om (po sportu)
+
+#### Nogomet
+```
+HNK Rijeka:           https://nk-rijeka.hr/
+HNK Orijent:          https://nk-orijent.hr/  (DB ima drugi URL!)
+NK Krk:               https://nkkrk.hr/
+NK Opatija:           https://nkopatija.hr/   (DB ima Wiki URL - FIX!)
+NK Grobnican:         https://nk-grobnican.hr/
+NK Pomorac:           https://nk-pomorac.hr/
+NK Naprijed:          https://nk-naprijed.hr/
+NK Turbina Tribalj:   http://www.nk-turbina-tribalj.hr/
+NK Klana:             https://nk-klana.hr/
+NK Mune:              https://nk-mune.hr/      (DB ima Wiki - FIX!)
+NK Crikvenica:        https://nk-crikvenica.hr/  (DB ima semafor - FIX!)
+```
+
+#### Rukomet
+```
+RK Kozala:    https://rk-kozala.hr/
+RK Zamet:     https://rk-zamet.hr/
+ZRK Zamet:    https://zrk-zamet.hr/
+RK Viskovo:   https://rk-viskovo.hr/
+RK Omisalj:   https://rk-omisalj.hr/
+RK Murvica:   https://rk-murvica.hr/
+```
+
+#### Kosarka
+```
+KK Kvarner 2010:   https://kkkvarner2010.hr/   (PAZI: NIJE AK Kvarner!)
+KK Skrljevo:       https://kk-skrljevo.hr/
+KK Ri-Basket:      https://ri-basket.hr/
+KK Kastav:         https://kkkastav.hr/        (ima i nk-kastav.hr crime!)
+KK Kraljevica:     https://kk-kraljevica.hr/
+```
+
+#### Vaterpolo
+```
+VK Primorje EB:  https://vaterpolo-primorje.hr/
+SD Primorje 08:  http://www.primorje08.hr
+```
+
+#### Plivanje
+```
+PK Primorje:     https://pk-primorje.hr/
+```
+
+#### Atletika
+```
+AK Kvarner:      https://akkvarner.hr/
+```
+
+#### Odbojka
+```
+HAOK Rijeka:     https://haok-rijeka.hr/
+```
+
+#### Sah
+```
+LIST URL:  https://www.sah-pgz.hr/klubovi/    <-- SCRAPE OVO!
+Najveci: SK Rijeka, SK Kvarner, SK Crikvenica, SK Losinj, SK Kastav, SK Krk, SK Viskovo
+```
+
+### 4.4 Lige / natjecanja
+```
+SuperSport HNL:           https://hnl.hr/
+SuperSport Prva NL:       https://hns.family/natjecanja/prva-nl/
+Druga NL:                 https://hns.family/natjecanja/druga-nl/
+Treca NL Zapad:           https://hns.family/
+
+Favbet Premijer (kos.):   https://premijerliga.hks-cbf.hr/
+Prva muska liga (kos.):   https://hks-cbf.hr/
+
+Paket24 Premijer (ruk.):  https://hrs.hr/natjecanja/
+1. HRL (rukomet):         https://hrs.hr/
+
+Prvenstvo HR vaterpolo:   https://hvs.hr/
+
+Hrvatska sahovska liga:   https://hrvatski-sahovski-savez.hr/
+```
+
+### 4.5 Statistika / rezultati portali
+```
+Rezultati.com:        https://www.rezultati.com/     # svi sportovi
+SofaScore:            https://www.sofascore.com/hr/  # detalji + ocjene
+SportCom:             https://www.sportcom.hr/        # PGZ lokalni
+HNS Semafor:          https://semafor.hns.family/    # nogomet zapisnici!
+Transfermarkt:        https://www.transfermarkt.com/  # transfers
+Sportalo:             https://www.sportalo.hr/        # nize lige
+HKS Natjecanja:       https://natjecanja.hks-cbf.hr/  # kosarka rezultati
+Eurobasket:           https://www.eurobasket.com/     # baza kosarkasa
+HRS Natjecanja:       https://hrs.hr/natjecanja/      # rukomet
+HVS Natjecanja:       https://hvs.hr/natjecanja/      # vaterpolo
+```
+
+---
+
+## 5. CURRENT DB STATE (verified)
+
+### pgz_sport.klubovi (525 PGZ aktivnih)
+```
+503  BEZ web URL-a              <-- glavna prepreka!
+19   Wikipedia URL              <-- treba prebaci na pravi
+11   pravi web URL OK
+9   updated u ovoj sesiji
+```
+
+### pgz_sport.clanovi (1808 PGZ ukupno)
+```
+527  vaterpolo igrac (HVS API)
+405  bocanje igrac (HBS scrape, fixed kategorija)
+745  nogomet+ostali (mass enrich, kategorija ili igrac ili NULL)
+6    uprava+stozer
+```
+
+### pgz_sport.savezi (15+ aktivnih)
+```
+Vaterpolski savez PGZ id=28 (merged od 34) | Damir Glavan
+HVS id=? | Mladen Drnasin
+HBS, HKS, HRS, HOO, HNS, HSS, HSSRM (insert iz seed)
+```
+
+### pgz_sport.dokumenti (3379)
+```
+1447  hoo (Damirov scraper)
+288   pgz_sport
+260   rss_hr
+294   savez_hbs
+106   savez_hks
+73    pravilnik
+18   godisnjaci sport-pgz.hr (NEW - 2006-2022, 9M znakova ukupno)
+```
+
+### Schema dodaci u OVOJ sesiji (ALREADY DONE)
+```sql
+ALTER TABLE pgz_sport.clanovi 
+  ADD COLUMN external_id TEXT,         -- "hvs:igrac:6893"
+  ADD COLUMN savez_izvor TEXT,         -- "HVS","HBS","godisnjak","klub_web"
+  ADD COLUMN profile_url TEXT,
+  ADD COLUMN uloga_detalj TEXT,        -- "trener vrata", "lijevo krilo"
+  ADD COLUMN metadata JSONB;
+
+CREATE INDEX idx_clanovi_external_id ON clanovi(external_id);
+CREATE INDEX idx_clanovi_savez_izvor ON clanovi(savez_izvor);
+
+ALTER TABLE pgz_sport.clanovi 
+  ADD CONSTRAINT uq_clanovi_klub_profile UNIQUE (klub_id, profile_url);
+
+CREATE TABLE pgz_sport.uloga_katalog (
+  id SERIAL PRIMARY KEY,
+  kod TEXT UNIQUE,
+  naziv TEXT,
+  grupa TEXT,           -- uprava, clanstvo, sportasi, strucni_stozer, organizacijski, 
+                        -- medicinski_stozer, tehnicki_stozer, sudac_kvalifikacija, medijski, ostalo
+  redoslijed INTEGER
+);
+-- Insertano 49 uloga: predsjednik, dopredsjednik, tajnik, blagajnik, clan_uprave, clan_nadzornog_odbora,
+-- clan_skupstine, direktor, sportski_direktor, clan, pocasni_clan, osnivac, igrac, sportas, reprezentativac,
+-- mladi_sportas, veteran, trener, glavni_trener, pomocni_trener, trener_vratara, kondicioni_trener,
+-- selektor, izbornik, analiticar, skaut, team_manager, voditelj, koordinator, lijecnik, fizioterapeut,
+-- kineziolog, nutricionist, psiholog, maser, tehnicar, ekonom, vozac, cuvar, sudac, zapisnicar,
+-- mjeritelj, delegate, komisar, press_officer, foto, voditelj_marketinga, volonter, fan_club
+```
+
+---
+
+## 6. SCHEMA FIX-OVI ZA NOVU SESIJU (HITNO)
+
+```sql
+-- ALTER da seed_pgz.py prolazi
+ALTER TABLE pgz_sport.klubovi ADD COLUMN IF NOT EXISTS izvor_unosa TEXT;
+ALTER TABLE pgz_sport.natjecanja ADD COLUMN IF NOT EXISTS razina_natjecanja TEXT;
+ALTER TABLE pgz_sport.natjecanja ADD COLUMN IF NOT EXISTS web TEXT;
+
+-- Crime list - krivi URL-ovi za fix:
+UPDATE pgz_sport.klubovi SET web=\'https://nkopatija.hr/\' WHERE id=3840 AND web LIKE \'%wikipedia%\';
+UPDATE pgz_sport.klubovi SET web=\'https://nk-mune.hr/\' WHERE id=2201 AND web LIKE \'%wikipedia%\';
+UPDATE pgz_sport.klubovi SET web=\'https://nk-crikvenica.hr/\' WHERE id=2421 AND web LIKE \'%semafor%\';
+UPDATE pgz_sport.klubovi SET web=\'https://akkvarner.hr/\' WHERE id=3746 AND naziv=\'AK Kvarner\';
+
+-- Insertat 27 klubova iz seed list (provjeri prije svakog INSERT je li vec postoji s OIB ili fuzzy naziv)
+```
+
+---
+
+## 7. ENTITY DEDUP STRATEGIJA (Damirov hard-blocking issue!)
+
+Problem: u DB ima `VK Primorje`, `VK Primorja` (typo), `VK Primorje EB`, `Vaterpolski klub Primorje Erste Bank` - sve isti klub.
+
+### Multi-step pipeline:
+```python
+# Step 1: Naive normalizacija
+def normalize(naziv):
+    s = unicodedata.normalize(\'NFKD\', naziv).encode(\'ascii\',\'ignore\').decode().lower()
+    s = re.sub(r\'[^a-z0-9 ]+\', \' \', s)
+    s = re.sub(r\'\\b(klub|sportski|sportsko|udruga|drustvo|sd|hnk|nk|vk|kk|rk|ak|jk|tk|stk|bk|sk|hkk|mnk)\\b\', \'\', s)
+    return \' \'.join(s.split())
+
+# Step 2: RapidFuzz (pip install rapidfuzz)
+from rapidfuzz import fuzz
+score = fuzz.token_set_ratio(norm_a, norm_b)  # > 85 = candidate
+
+# Step 3: BGE-M3 cosine similarity
+import requests, numpy as np
+def embed(texts):
+    r = requests.post(\'http://localhost:9879/api/embeddings\',
+                      json={\'model\':\'bge-m3\', \'input\':texts}).json()
+    return np.array(r[\'embedding\']) if isinstance(r.get(\'embedding\'), list) and not isinstance(r[\'embedding\'][0], list) else np.array(r[\'embeddings\'])
+# threshold cosine sim > 0.92
+
+# Step 4: vLLM yes/no adjudication
+prompt = f\'Jesu li ovi nazivi isti klub? A: {a}, B: {b}. Odgovor samo "DA" ili "NE".\'
+
+# Step 5: Cluster i merge
+# Master = onaj sa najpopunjenim poljima (web, OIB, predsjednik)
+# UPDATE clanovi SET klub_id=master WHERE klub_id IN (others);
+# Backup table prije merge: CREATE TABLE klubovi_predeup_<datum> AS SELECT * FROM klubovi;
+# DELETE FROM klubovi WHERE id IN (others);
+```
+
+### NIKAD auto-merge bez Damir review!
+Damir ima 5 backup tabela vec:
+- `klubovi_premerge_20260503`, `_b`, `_c`
+- `klubovi_dedup_20260502`, `_v2_*`, `_v3_*`
+
+---
+
+## 8. DEAD ENDS (proven, NE re-pokretat!)
+
+| Sto | Zasto | Kada |
+|-----|-------|------|
+| DuckDuckGo HTML search | 0 rezultata, IP blokiran | 14:50 today |
+| Sudreg po `tvrtke` endpointu | 100K subjekata, samo 3 sport | 14:42 |
+| HRS api.hrs.hr | Zoraxy reverse proxy, no public endpoint | 14:30 |
+| HKS hks.hr | Base URL ne odgovara (try hks-cbf.hr) | 14:36 |
+| Vecina saveze /klubovi/ /registar/ | 404 | 14:20 |
+| WordPress REST `/wp-json/wp/v2/{cpt}` na ne-HVS savezima | Samo Jetpack/Akismet, no CPT | 13:45 |
+| async_playwright | "anchor not found or already added" | razne sesije |
+
+### Sto JE radilo:
+- HVS rezultati API JWT token (brutalno brz)
+- HOO Playwright (Damirov scraper, 478 PDF, 1447 docs)
+- HBS direktan scrape - svi klubovi + 405 bocara
+- sport-pgz.hr Playwright crawl (18 godisnjak PDF)
+- LLM klub-web enrich preko `/api/v2/enrich/klub-web`
+- Sudreg /sjedista, /pravni_oblici, /tvrtke (s OAuth Bearer)
+
+---
+
+## 9. NEXT SESSION TODO (priority order)
+
+### A) HITNO - Schema fix-ovi (1 min)
+```sql
+ALTER TABLE pgz_sport.klubovi ADD COLUMN IF NOT EXISTS izvor_unosa TEXT;
+ALTER TABLE pgz_sport.natjecanja ADD COLUMN IF NOT EXISTS razina_natjecanja TEXT;
+UPDATE pgz_sport.klubovi SET web=...;  # crime list
+```
+
+### B) Damir seed list FULL crawl (20 min)
+1. Insert 27 klubova s URL-om u DB (script: `/tmp/seed_pgz.py` treba schema fix)
+2. Mass klub-web LLM enrich za sve 30+ klubova s URL
+3. Output: ~30 x 30 osoba = 900 osoba (uprava + igraci)
+
+### C) Godisnjak LLM ekstrakcija (60-90 min)
+- Skripta vec napisana: `/tmp/godisnjak_llm.py`
+- 18 PDF-ova vec u DB-u (vrsta=\'godisnjak_szpgz\')
+- Chunk po 5500 znakova, vLLM Qwen 7B (8K context)
+- max_workers=5 (NE 10 - GPU pun!)
+- Insert s `savez_izvor=\'godisnjak\'`, `metadata.year=2007..2022`
+- Potencijal: 5K-10K osoba (svi PGZ sportasi 16 godina unazad)
+
+### D) sah-pgz.hr/klubovi/ scrape (10 min)
+- Damir potvrdio konkretan URL
+- Direktan scrape sa Playwright
+- Insert nove sahovske klubove
+
+### E) NSPGZ.hr scrape (30 min)
+- Sluzbena PGZ nogomet web
+- Mora imati registar svih PGZ nogometnih klubova + igraci
+
+### F) HVS-pattern probe za druge saveze (60 min)
+- Playwright sniff svake klub stranice za:
+  - rezultati.hbs.hr (bocanje)
+  - rezultati.hks-cbf.hr (kosarka)
+  - rezultati.hns.hr (nogomet)
+  - rezultati.hjs.hr (jedrenje)
+  - rezultati.has.hr (atletika)
+- Ako pronadje token: replicira HVS mass scrape
+
+### G) ENTITY DEDUP engine (90 min)
+- Kreiraj `/opt/rinet-gpu/sport_pipeline/dedup/klub_dedup.py`
+- 4-step pipeline (gore poglavlje 7)
+- BACKUP table prije bilo kakvog merge
+- Output: report za Damir review
+
+### H) Web URL discovery preko **Sudreg** (alt. za 503 klubova bez weba)
+- Iterate sve PGZ udruge -> match na klubovi.naziv (fuzzy)
+- Ako ima OIB -> Google site:.hr "OIB" -> nadji web stranicu
+- Ako nema -> probat WHOIS, MX record kluba
+
+### I) HSA strelicarstvo direktan JSON (5 min)
+- `https://www.hsa.hr/assets/data/index.json` (otkriveno)
+- Probat sve direktne data path-ove
+
+### J) Graph DB sync u Qdrant
+- Embed klubovi + osobe u `pgz_sport_v1` collection
+- Za buduci sponsorship intelligence + talent scouting
+
+---
+
+## 10. KORISTITI POSTOJECI SCRAPER PATTERN (Damirov standard!)
+
+Damir ima vec scrape pattern u `/opt/rinet-gpu/sport_pipeline/scrapers/`:
+- `hoo_pw_fetch.py` - sync_playwright pattern (referenca!)
+- `_common.py` - upsert_doc() helper
+- Standardizirani file headers (filename, version, path, project, author, date, description)
+
+**Pravila novih skripti**:
+1. Standardizirani header
+2. sync_playwright (NE async)
+3. wait_until=\'networkidle\'
+4. Backup u tablicu prije svake DB modifikacije
+5. Audit feed insert
+6. Git commit nakon svakog scrape-a
+
+---
+
+## 11. SCRIPTS u /tmp/ (saved on server)
+
+```
+/tmp/hvs_mass.py             ✓ HVS mass scrape (re-pokretat za update)
+/tmp/hvs_teams.py            ✓ HVS team probe (52 PGZ ekipa)
+/tmp/hvs_remap.py            ✓ HVS remap missing klubovi
+/tmp/godisnjak_pull.py       ✓ 18 PDF download + DB insert
+/tmp/godisnjak_llm.py        ⏳ LLM extract (NIJE pokrenut, GPU full!)
+/tmp/sport_pgz_scrape.py     ✓ sport-pgz.hr crawl
+/tmp/seed_pgz.py             ⚠️ Damir seed insert (delovi failed - schema)
+/tmp/sudreg_mass.py          ✗ Loš pristup, NE re-pokretat
+/tmp/quickfix.py             ✓ POSK Split + savez merge
+/tmp/fix_kat.py              ✓ Kategorija boćari
+/tmp/multi_sniff.py          ✓ Multi-savez API discovery
+/tmp/sz_pgz.py               ✓ Sportska zajednica probe
+/tmp/web_discovery.py        ✗ DDG blokira IP
+/tmp/savez_clubs.py          ⚠️ Slaba klub-detekcija po grad mention
+```
+
+---
+
+## 12. KRITICNE LEKCIJE I UPOZORENJA
+
+1. **GPU FULL** (89%) - vLLM uzima 8 GB. NE pokretat 2. LLM. Embedder uzima ostalo.
+2. **EMBEDDER input MORA biti list** (`{"input":["text"]}`) - NIJE string!
+3. **/tmp/dis.py shadow bug** - ako se vrati, briši: `mv /tmp/dis.py /tmp/dis.py.shadow_DELETED && rm -rf /tmp/__pycache__`
+4. **3-strike rule** - ne lazirati "complete" tvrdnje, uvijek `find /opt -name X` ili API check
+5. **NIKAD srpski/crnogorski u outputu** - `_lang_fix` filter aktivan
+6. **POSK je iz Splita** ne PGZ! (id=3893 marked SDZ)
+7. **AK Kvarner != KK Kvarner 2010** - razlicit klub! Ne fuzzy-match!
+8. **Damir seed list je AUTORITATIVAN** - ne overrida-ga
+9. **Bridge API param** je `cmd` ne `command`
+10. **DDG/Google search je BLOKIRAN** za ovu IP - ne pokušavat
+
+---
+
+## 13. PALANTIR VISION (Damirov long-term plan)
+
+```
+Layer 1 (Seed Sources):  Damirov seed list + HOO + HNS + HKS + HRS + HVS + HBS + Sudreg
+Layer 2 (Discovery):     crawler od svakog seed-a, prati linkove "klub", "clanice"
+Layer 3 (Extraction):    vLLM Qwen 7B + regex + BS4 -> {naziv, sport, grad, email, telefon, OIB, kontakt osobe, drustvene mreze}
+Layer 4 (Enrichment):    Google query, FB/IG, WHOIS, MX, schema.org, contact page
+Layer 5 (Validation):    HTTP, SSL, MX, SMTP handshake, robots.txt, canonical URL
+Layer 6 (Graph DB):      Neo4j ili `civic.entity_connections` graph: klub -> savez -> liga -> drzava + sponzori + politicki utjecaj
+```
+
+**Ekstendira na**: firme, opcine, skole, političke organizacije, startupovi - **isti pipeline, drugi seed source**.
+
+**Sponsorship intelligence + talent scouting + AI recommendations + regional sports analytics**.
+
+---
+
+## 14. KONACNI STATUS DAMIRU (na pre-handoff)
+
+Damir je rekao:
+> "Napravi jebeno dobre scrapere, bez podataka smo nista! Inteligentno filtriraj i spajaj nemoj da imamo 5x isti klub sa varijantama imena!"
+
+**Sto sam dosao do**:
+- 1808 PGZ osoba u DB (745 igrac + 405 bocar + 6 uprava + 652 drugo)
+- HVS API breakthrough - jedini savez s pravim pull-om (795 osoba u 50s)
+- 18 godisnjak PDF-ova downloaded i u DB (NIJE jos LLM-extracted)
+- Damir seed list = autoritativna baza za 27 klubova + 16 saveza + 10 portala statistike
+- Schema extended (external_id, savez_izvor, profile_url, uloga_detalj, metadata)
+
+**Sto JE problem**:
+- 503/525 klubova **bez web URL-a** (root issue)
+- Drugi savezi (osim HVS) **nemaju javan API** -> trebamo direktan klub web scrape
+- Entity dedup engine **NIJE jos napravljen** (samo 5 backup tabela od ranijih ad-hoc merge-ova)
+- Godisnjak LLM ekstrakcija **NIJE jos pokrenuta** (GPU pun!)
+
+**Plan za novu sesiju**:
+1. Schema fix (1 min)
+2. Crime list URL fix (1 min)  
+3. Insert seed klubovi (5 min)
+4. Pokrenuti godisnjak LLM extract (60-90 min, najveci ROI)
+5. sah-pgz.hr/klubovi/ scrape (10 min)
+6. NSPGZ.hr scrape (30 min)
+7. Entity dedup engine implementacija (90 min)
+8. HVS-pattern API probe za druge saveze (60 min)
+
+**Total dnevno**: 4-6 sati, output ~5K-10K novih osoba u DB-u.
+
+---
+
+# END HANDOFF v2
+
+Damir, ucitaj ovaj file u Claude Project knowledge:
+- Path: `/opt/pgz-sport/_handoff/HANDOFF_20260503_1410_SPORT_SCRAPING_PIPELINE.md`
+- 600+ linija, sve credentials, sve API tokens, sve URL-ove
+- Sljedeca Claude sesija nastavi s tocno gdje smo stali
+
+---
+
+# ADDENDUM (14:30) — KOREKCIJE i POJASNJENJA
+
+Damir je provjerio stvarno stanje stacka. Ispravljam handoff:
+
+## A. STACK ISPRAVKE
+
+### A.1 Ollama RADI (ranije rekao $HOME panic)
+Komanda `ollama list` u shell trazi $HOME, ali servis na :11434 RADI normalno.
+
+**Aktivni modeli (6)**:
+| Model | Velicina | Namjena |
+|-------|----------|---------|
+| `nomic-embed-text:latest` | 274 MB | Embedding 768-dim (BACKUP za BGE-M3) |
+| `dabi-budget:latest` | 4.7 GB | Qwen2 7B Q4_K_M + LoRA (HRT specijal) |
+| `dabi-3b-hr:latest` | 6.2 GB | Qwen2 3B F16 (manji LLM) |
+| `qwen2.5:7b` | 4.7 GB | Generic Qwen 7B Q4_K_M |
+| `dabi-gemma:latest` | 8.6 GB | Gemma3 4B F16 |
+| `gemma3:4b` | 3.3 GB | Gemma3 4B Q4_K_M |
+
+**Pristup Ollama-i**: 
+```bash
+# Embed (nomic-embed-text 768-dim)
+curl -X POST http://localhost:11434/api/embed \\
+  -H "Content-Type: application/json" \\
+  -d \'{"model":"nomic-embed-text","input":["VK Primorje"]}\'
+# Response: {"embeddings":[[...]]}  (768-dim)
+
+# Chat (LLM)
+curl -X POST http://localhost:11434/api/chat \\
+  -H "Content-Type: application/json" \\
+  -d \'{"model":"qwen2.5:7b","messages":[{"role":"user","content":"OK"}],"stream":false}\'
+```
+
+### A.2 BGE-M3 endpoint (KRITICNO ISPRAVAK!)
+
+`/opt/rinet-gpu/embed_service.py` ima **3 prihvacena formata**:
+
+```python
+# Format 1: texts list -> embeddings list
+POST /api/embeddings
+Body: {"texts": ["text1", "text2"]}
+Response: {"embeddings": [[...1024-dim...], [...1024-dim...]]}
+
+# Format 2: single prompt -> single embedding
+POST /api/embeddings
+Body: {"prompt": "text"}
+Response: {"embedding": [...1024-dim...]}
+
+# Format 3: OpenAI compat (model + input)
+POST /api/embeddings
+Body: {"model":"bge-m3","input":["t1","t2"]}
+Response: ako 1 text -> {"embedding":[]}, ako 2+ -> {"embeddings":[[],[]]}
+```
+
+**TRUNCATION**: text > 2000 znakova SE TRUNCIRA na 2000.
+**MAX SEQ LENGTH**: 512 tokena (env BGE_MAX_LEN).
+**FP16**: enabled (env BGE_FP16=1).
+**BATCH SIZE**: 8 (env BGE_BATCH_SIZE).
+
+**Health check**: `GET /health` -> `{"status":"ok","model":"bge-m3","device":"cuda","version":"2.0-fixed"}`
+
+### A.3 F10 LoRA :8765 - NIJE BROKEN, samo /v1/models 404
+Port zivi, dabi-budget Q4_K_M (LoRA) je lokalno servisan. Endpoint `/v1/models` vraca 404 ali je sluzba **moguce funkcionalna na drugim path-evima**. TODO: provjerit pravilan endpoint.
+
+## B. GODISNJACI - PRAVI PATH (ne /downloads/!)
+
+### Stvarna lokacija
+**Damirov pravi path**: `/opt/pgz-sport/_data/godisnjaci/`
+
+```
+54 fileova ukupno (195 MB):
+  19 .pdf      (originali, 2006-2024)
+  19 .txt      (osnovni OCR)
+  19 _layout.txt  (OCR sa pdftotext -layout)
+ 18 backup u `/opt/pgz-sport/_downloads/godisnjaci_szpgz/` (dupli, manje korisni)
+```
+
+### Godine
+**2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024**
+
+Ja sam ranije mislio samo 2006-2022 -> **POGRESNO**, postoji i 2023, 2024!
+
+### Vec OCR-irani -> ne treba pdftotext
+Damir vec ima `_layout.txt` za svaki godisnjak (preserved formatting). Koristiti **layout** verziju za parsing, jer ima boljo razdvajanje stupaca.
+
+```python
+import glob
+files_layout = sorted(glob.glob("/opt/pgz-sport/_data/godisnjaci/godisnjak_*_layout.txt"))
+files_basic = sorted(glob.glob("/opt/pgz-sport/_data/godisnjaci/godisnjak_2*.txt"))
+# Layout verzija je preferirana za parsing tabela imena
+```
+
+## C. EMBEDDING STRATEGIJA za godisnjake
+
+### Damirova preporuka: BGE-M3 :9879 (Opcija A)
+- 1024-dim vektori
+- HR jezik dobro suport
+- **Vec u VRAM-u** (gpu memory drzi model)
+- Direktno kompatibilno s `pgz_universe` collection (47,405 points, 1024-dim Cosine)
+
+### Backup: Ollama nomic-embed (Opcija B)
+- 768-dim
+- CPU-friendly
+- **NE kompatibilno s pgz_universe** -> trebala bi nova collection (npr. `pgz_godisnjaci_768`)
+- Slabija kvaliteta za HR jezik
+
+### Konkretan ingest skripta:
+```python
+import asyncio, glob, httpx, hashlib, json, re
+from qdrant_client import QdrantClient
+from qdrant_client.models import PointStruct
+
+async def embed(texts):  # BGE-M3, 1024-dim
+    async with httpx.AsyncClient(timeout=60.0) as c:
+        r = await c.post("http://localhost:9879/api/embeddings",
+                         json={"texts": texts})
+        return r.json()["embeddings"]
+
+def chunk_text(t, size=1500):  # < 2000 znakova zbog truncation
+    paragraphs = re.split(r"\\n\\n+", t)
+    chunks, cur = [], ""
+    for p in paragraphs:
+        if len(cur) + len(p) > size:
+            if cur: chunks.append(cur.strip())
+            cur = p
+        else:
+            cur += "\\n\\n" + p
+    if cur: chunks.append(cur.strip())
+    return chunks
+
+async def main():
+    qdrant = QdrantClient(host="localhost", port=6333)
+    
+    files = sorted(glob.glob("/opt/pgz-sport/_data/godisnjaci/godisnjak_*_layout.txt"))
+    print(f"Files: {len(files)}")
+    
+    all_chunks = []
+    all_meta = []
+    for f in files:
+        year = re.search(r"godisnjak_(\\d{4})", f).group(1)
+        with open(f) as fp: text = fp.read()
+        chunks = chunk_text(text)
+        for i, c in enumerate(chunks):
+            all_chunks.append(c)
+            all_meta.append({"year": year, "chunk_idx": i, "source": f.split("/")[-1]})
+    
+    print(f"Total chunks: {len(all_chunks)}")
+    
+    # Batch embed (BGE-M3 batch_size=8)
+    BATCH = 32
+    points = []
+    for i in range(0, len(all_chunks), BATCH):
+        batch = all_chunks[i:i+BATCH]
+        embeddings = await embed(batch)
+        for j, (text, emb) in enumerate(zip(batch, embeddings)):
+            meta = all_meta[i+j]
+            point_id = int(hashlib.md5(f"godisnjak:{meta[\'source\']}:{meta[\'chunk_idx\']}".encode()).hexdigest()[:15], 16)
+            points.append(PointStruct(
+                id=point_id,
+                vector=emb,
+                payload={**meta, "text": text[:1500], "type": "godisnjak_pgz"}
+            ))
+        if i % 200 == 0:
+            print(f"  ... embedded {i}/{len(all_chunks)}")
+    
+    # Upsert into pgz_universe (vec ima 47K points, dodati 1500-2000 godisnjak chunks)
+    qdrant.upsert(collection_name="pgz_universe", points=points)
+    print(f"Done: {len(points)} chunks ingested")
+
+asyncio.run(main())
+```
+
+## D. KORISTITI vLLM ZA EKSTRAKCIJU IMENA + ULOGA
+
+Za parsing osoba/uloga iz godisnjaka, koristit vLLM Qwen 7B:
+
+```python
+import httpx, json, re
+
+PROMPT = """Ekstrahiraj iz teksta SVA imena osoba i njihove uloge.
+Format strogo JSON:
+{"osobe": [{"ime":"X","prezime":"Y","klub":"Z","uloga":"predsjednik|igrac|trener|tajnik|fizioterapeut|lijecnik","godina_rodenja":1990}]}
+
+Uloge ISKLJUCIVO: predsjednik, dopredsjednik, tajnik, blagajnik, clan_uprave, igrac, sportas, glavni_trener, trener, pomocni_trener, kondicioni_trener, selektor, izbornik, team_manager, voditelj, lijecnik, fizioterapeut, kineziolog, maser, sudac, volonter
+
+Pravila:
+1. Samo HRVATSKE osobe (ne strani sportasi koji su gostovali)
+2. Ako klub nije jasan -> ostavi prazan klub
+3. NE izmisljaj imena -> samo ona JASNO IZRAZENA u tekstu
+4. Vrati VALID JSON bez markdown ```"""
+
+async def extract(chunk_text):
+    async with httpx.AsyncClient(timeout=120.0) as c:
+        r = await c.post("http://localhost:8001/v1/chat/completions",
+            json={
+                "model": "Qwen/Qwen2.5-7B-Instruct-AWQ",
+                "messages": [
+                    {"role": "system", "content": PROMPT},
+                    {"role": "user", "content": chunk_text}
+                ],
+                "temperature": 0.1,
+                "max_tokens": 3000,
+                "response_format": {"type": "json_object"}
+            })
+        d = r.json()
+        try:
+            return json.loads(d["choices"][0]["message"]["content"])
+        except:
+            return {"osobe": []}
+```
+
+**Throughput**: vLLM ~2-3s po chunk-u (5500 chars). 19 godina x ~50 chunks = 950 chunks ~ 30-40 min sa parallel=5.
+**GPU**: vec 89% pun, vLLM uzima 8 GB. Embed ne uzima vise (vec u VRAM). max_workers=5!
+
+## E. STRATEGIJA ZA NOVU SESIJU
+
+### Step 1: Embed godisnjake u pgz_universe (10 min)
+- 19 godina x ~50 chunks = 950 chunks
+- BGE-M3 batch=8, ~2 min ukupno
+- Direktno u pgz_universe (1024-dim Cosine kompatibilan)
+
+### Step 2: LLM ekstrakcija osoba/uloga (30-40 min)
+- Isti chunks kroz vLLM Qwen 7B
+- max_workers=5 (GPU pun)
+- Output: ~5K-10K osoba sa savez_izvor=\'godisnjak\', metadata.year=YYYY
+
+### Step 3: Match osobe na klubove (10 min)
+- Za svaku ekstrahiranu osobu, fuzzy match na pgz_sport.klubovi.naziv
+- Ako match -> set klub_id
+- Ako ne -> insert klub kao novi PGZ kandidat
+
+### Step 4: Entity dedup za nove klubove (30 min)
+- 4-step pipeline (gore u handoff sekcija 7)
+- Backup table prije bilo kakvog merge
+- Damir review prije commit
+
+## F. KORISTI POSTOJECI WHEEL — ne re-implementacija!
+
+### Postojeci alati:
+- `/opt/rinet-gpu/sport_pipeline/scrapers/_common.py` -> `upsert_doc()`
+- `/opt/rinet-gpu/embed_service.py` -> BGE-M3 service
+- `/opt/rinet-gpu/sport_pipeline/scrapers/hoo_pw_fetch.py` -> sync_playwright pattern
+- `pgz_universe` collection -> 47K points 1024-dim Cosine (vec spreman)
+
+### NE radi:
+- Novi embedder
+- Nova Qdrant collection (kompatibilno s pgz_universe)
+- Async Playwright (sync_playwright je standard)
+
+# END ADDENDUM