Bib-registrering direkte i zoom-overlay med Enter-støtte

- ZoomOverlay: input for startnummer (Enter = legg til, Esc = lukk)
- Kjente bibs fra OCR forhåndsutfylles i overlay
- Bekreft-knapp (antall) løser current passering + oppretter nye for ekstra bibs
- Backend: POST /api/passages/{id}/add-bib oppretter manuell søsken-passering

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

backend/api.py

@@ -264,6 +264,60 @@ async def remove_passage(passage_id: str, db=Depends(get_connection)):
     return {"ok": True}
 
 
+class AddBibRequest(BaseModel):
+    bib_number: str
+
+
+@app.post("/api/passages/{passage_id}/add-bib")
+async def add_bib_to_passage(passage_id: str, body: AddBibRequest, db=Depends(get_connection)):
+    """
+    Opprett en ny passering manuelt fra samme bilde som en eksisterende passering.
+    Brukes når man ser flere løpere i ett bilde under gjennomgang.
+    """
+    from datetime import timezone as _tz
+    from profile_db import get_or_create_athlete
+
+    async with db.execute("SELECT * FROM passages WHERE passage_id = ?", (passage_id,)) as cur:
+        row = await cur.fetchone()
+    if not row:
+        raise HTTPException(404, "Passering ikke funnet")
+
+    p = dict(row)
+    ts = datetime.fromisoformat(p["timestamp_utc"])
+    if ts.tzinfo is None:
+        ts = ts.replace(tzinfo=_tz.utc)
+
+    profile_id = await get_or_create_athlete(db, body.bib_number)
+
+    new_id = await log_passage(
+        db,
+        race_id=p["race_id"],
+        profile_id=profile_id,
+        bib_number=body.bib_number,
+        station=p["station"],
+        timestamp_utc=ts,
+        gps_lat=p["gps_lat"],
+        gps_lon=p["gps_lon"],
+        gps_alt=p["gps_alt"],
+        confidence=1.0,
+        proximity_score=0.0,
+        id_method="manual",
+        source_image=p["source_image"],
+        needs_review=False,
+        review_note=None,
+    )
+
+    # Oppdater EXIF-metadata
+    from image_tagger import write_bib_tags, read_bib_tags
+    img_path = Path(p["source_image"])
+    if img_path.exists():
+        existing = read_bib_tags(img_path)
+        all_bibs = list(dict.fromkeys((existing or {}).get("bibs", []) + [body.bib_number]))
+        write_bib_tags(img_path, all_bibs, station=p["station"], race_id=p["race_id"], confirmed=True)
+
+    return {"passage_id": new_id, "bib_number": body.bib_number}
+
+
 @app.post("/api/passages/{passage_id}/reanalyze")
 async def reanalyze_passage(passage_id: str, db=Depends(get_connection)):
     """