add weekly ELO rank sync from stat-check.com

- scripts/sync-elo.py: downloads Excel sheet, auto-detects columns,
  writes public/elo-data.json keyed by lowercase player name
- .gitlab-ci.yml: sync-elo stage (schedules only) commits the JSON
  then a normal push pipeline handles build + deploy; build/deploy
  skip on scheduled runs to avoid double deployment
- index.html + main.js: ELO Rank column with sort support; loads
  elo-data.json asynchronously and re-renders when ready; fails
  silently if data is missing

Requires one-time setup:
  1. GitLab project token (write_repository) stored as GITLAB_PUSH_TOKEN
  2. Pipeline schedule: cron 0 2 * * 3 (Wednesday 02:00 UTC) on main

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

scripts/sync-elo.py

@@ -0,0 +1,114 @@
+"""
+sync-elo.py — download the stat-check.com ELO Excel sheet and emit public/elo-data.json.
+
+Column auto-detection: scans the header row for keywords.
+If headers change, check the CI log — it always prints what it found.
+"""
+
+import json
+import sys
+from datetime import datetime, timezone
+from io import BytesIO
+
+try:
+    import requests
+    import openpyxl
+except ImportError:
+    print("Installing dependencies…", flush=True)
+    import subprocess
+    subprocess.check_call([sys.executable, "-m", "pip", "install", "requests", "openpyxl", "-q"])
+    import requests
+    import openpyxl
+
+DOWNLOAD_URL = (
+    "https://excel.officeapps.live.com/x/_layouts/XlFileHandler.aspx"
+    "?WacUserType=WOPI"
+    "&usid=4bcd36aa-91bc-4c95-a692-c2ef5de1d13a"
+    "&NoAuth=1"
+    "&waccluster=PCA1"
+)
+OUTPUT_PATH = "public/elo-data.json"
+
+
+def find_col(headers, *keywords):
+    """Return index of first header containing any keyword (case-insensitive)."""
+    for i, h in enumerate(headers):
+        hl = str(h).lower()
+        if any(kw in hl for kw in keywords):
+            return i
+    return None
+
+
+def main():
+    print(f"Downloading ELO sheet…", flush=True)
+    resp = requests.get(DOWNLOAD_URL, timeout=120, headers={"User-Agent": "Mozilla/5.0"})
+    resp.raise_for_status()
+    print(f"Downloaded {len(resp.content):,} bytes", flush=True)
+
+    wb = openpyxl.load_workbook(BytesIO(resp.content), read_only=True, data_only=True)
+    ws = wb.active
+
+    rows = ws.iter_rows(values_only=True)
+    raw_headers = next(rows)
+    headers = [str(c).strip() if c is not None else "" for c in raw_headers]
+    print(f"Headers ({len(headers)}): {headers}", flush=True)
+
+    rank_col   = find_col(headers, "rank")
+    name_col   = find_col(headers, "name", "player")
+    rating_col = find_col(headers, "rating", "elo", "score", "points")
+
+    if name_col is None:
+        print("ERROR: Could not find a name/player column. Check the headers above.", file=sys.stderr)
+        sys.exit(1)
+
+    print(
+        f"Mapped  rank→col {rank_col} ('{headers[rank_col] if rank_col is not None else '—'}')  "
+        f"name→col {name_col} ('{headers[name_col]}')  "
+        f"rating→col {rating_col} ('{headers[rating_col] if rating_col is not None else '—'}')",
+        flush=True,
+    )
+
+    by_name = {}
+    skipped = 0
+    for seq, row in enumerate(rows, start=2):
+        raw_name = row[name_col] if len(row) > name_col else None
+        if not raw_name:
+            skipped += 1
+            continue
+
+        name    = str(raw_name).strip()
+        key     = name.lower()
+
+        raw_rank   = row[rank_col]   if rank_col is not None and len(row) > rank_col   else None
+        raw_rating = row[rating_col] if rating_col is not None and len(row) > rating_col else None
+
+        try:
+            rank = int(raw_rank) if raw_rank is not None else seq
+        except (ValueError, TypeError):
+            rank = seq
+
+        try:
+            rating = round(float(raw_rating), 1) if raw_rating is not None else None
+        except (ValueError, TypeError):
+            rating = None
+
+        by_name[key] = {"rank": rank, "rating": rating, "name": name}
+
+    wb.close()
+
+    print(f"Parsed {len(by_name):,} players ({skipped} blank rows skipped)", flush=True)
+
+    output = {
+        "updated": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
+        "count": len(by_name),
+        "byName": by_name,
+    }
+
+    with open(OUTPUT_PATH, "w", encoding="utf-8") as f:
+        json.dump(output, f, separators=(",", ":"), ensure_ascii=False)
+
+    print(f"Wrote {OUTPUT_PATH}", flush=True)
+
+
+if __name__ == "__main__":
+    main()