feat: /api/v2/analiza/* endpoints - sport analytics backend

scrapers/rss_hr_full.py

@@ -1,4 +1,7 @@
 #!/usr/bin/env python3
+from dotenv import load_dotenv
+load_dotenv("/opt/rinet-gpu/.env.master")
+# auto-added
 # ═══════════════════════════════════════════════════════════════════
 # Fajl: rss_hr_full.py | v1.0.0 | 05.05.2026
 # Lokacija: /opt/pgz-sport/scrapers/rss_hr_full.py
@@ -15,7 +18,7 @@ from psycopg2.extras import execute_batch
 logging.basicConfig(level=logging.INFO, format="%(asctime)s [rss_hr] %(message)s")
 log = logging.getLogger("rss_hr")
 
-DSN = "host=10.10.0.2 port=6432 dbname=rinet_v3 user=rinet password=R1net2026!SecureDB#v7"
+DSN = f"host=10.10.0.2 port=6432 dbname=rinet_v3 user=rinet password={os.environ['DB_PASSWORD']}"
 UA = "Mozilla/5.0 (Ri.NET Civic Bot 1.0; contact: dradulic@outlook.com)"
 ROOT = "https://rss.hr"
 HTML_DIR = "/opt/pgz-sport/data/rss_hr_html"
@@ -91,6 +94,7 @@ def upsert(conn, facts):
     cur = conn.cursor()
     rows = []
     for f in facts:
+        f["fact"] = f["fact"].replace("\x00", "")
         h = hashlib.md5(f["fact"].encode()).hexdigest()
         rows.append((f["fact"], f["source"], f.get("category", "rss_hr"),
                      f.get("confidence", 0.85), h,