Initial commit: MVP tidtakingssystem

- Backend: FastAPI, EXIF-parser, EasyOCR, SQLite
- Frontend: React admin (startliste, passeringer, gjennomgang, resultater)
- Docker: docker-compose med depot/processed/data-volumer

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

.gitignore

@@ -0,0 +1,20 @@
+# Data og bilder
+data/
+depot/
+processed/
+
+# Python
+__pycache__/
+*.pyc
+*.pyo
+.venv/
+venv/
+
+# Node
+frontend/node_modules/
+frontend/dist/
+
+# IDE
+.idea/
+.vscode/
+*.swp

backend/Dockerfile

@@ -0,0 +1,20 @@
+FROM python:3.12-slim
+
+WORKDIR /app
+
+# Systemavhengigheter for OpenCV og EasyOCR
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    libglib2.0-0 \
+    libgl1 \
+    libgomp1 \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+# Kataloger monteres som volumer fra docker-compose
+RUN mkdir -p /depot /processed /data
+
+CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "8000"]

backend/api.py

@@ -0,0 +1,177 @@
+"""
+FastAPI REST API for timing-systemet.
+"""
+
+import asyncio
+import logging
+from contextlib import asynccontextmanager
+from pathlib import Path
+
+import aiosqlite
+from fastapi import Depends, FastAPI, File, HTTPException, UploadFile
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
+from pydantic import BaseModel
+from typing import Optional
+
+from ingest import watch_depot, process_existing
+from passage_log import delete_passage, get_passages, log_passage, resolve_passage
+from profile_db import (
+    clear_startlist,
+    delete_athlete,
+    get_db,
+    import_startlist_csv,
+    list_athletes,
+    upsert_athlete,
+)
+from results import get_results
+
+logger = logging.getLogger(__name__)
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    # Behandle bilder som lå i depot fra før oppstart
+    await process_existing()
+    # Start fil-overvåkning i bakgrunnen
+    asyncio.create_task(watch_depot())
+    yield
+
+
+app = FastAPI(title="Timing API", version="0.1.0", lifespan=lifespan)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+# --- DB-avhengighet ---
+
+async def get_connection():
+    db = await get_db()
+    try:
+        yield db
+    finally:
+        await db.close()
+
+
+# =====================
+# Startliste-endepunkter
+# =====================
+
+@app.get("/api/athletes")
+async def list_athletes_endpoint(db=Depends(get_connection)):
+    return await list_athletes(db)
+
+
+@app.post("/api/athletes/import", summary="Last opp startliste som CSV")
+async def import_csv(
+    file: UploadFile = File(...),
+    db=Depends(get_connection),
+):
+    if not file.filename.endswith(".csv"):
+        raise HTTPException(400, "Kun CSV-filer støttes")
+    content = (await file.read()).decode("utf-8-sig")  # utf-8-sig håndterer BOM
+    result = await import_startlist_csv(db, content)
+    return result
+
+
+@app.delete("/api/athletes/all")
+async def clear_all_athletes(db=Depends(get_connection)):
+    await clear_startlist(db)
+    return {"ok": True}
+
+
+@app.delete("/api/athletes/{profile_id}")
+async def remove_athlete(profile_id: str, db=Depends(get_connection)):
+    ok = await delete_athlete(db, profile_id)
+    if not ok:
+        raise HTTPException(404, "Utøver ikke funnet")
+    return {"ok": True}
+
+
+# =====================
+# Passeringer
+# =====================
+
+@app.get("/api/passages")
+async def list_passages(
+    station: Optional[str] = None,
+    needs_review: Optional[bool] = None,
+    profile_id: Optional[str] = None,
+    db=Depends(get_connection),
+):
+    return await get_passages(db, profile_id=profile_id, station=station, needs_review=needs_review)
+
+
+@app.get("/api/passages/review", summary="Hent passeringer som trenger manuell gjennomgang")
+async def review_queue(db=Depends(get_connection)):
+    return await get_passages(db, needs_review=True)
+
+
+class ResolveRequest(BaseModel):
+    profile_id: Optional[str] = None
+    bib_number: Optional[str] = None
+    review_note: Optional[str] = None
+
+
+@app.post("/api/passages/{passage_id}/resolve")
+async def resolve(passage_id: str, body: ResolveRequest, db=Depends(get_connection)):
+    ok = await resolve_passage(
+        db,
+        passage_id,
+        profile_id=body.profile_id,
+        bib_number=body.bib_number,
+        review_note=body.review_note,
+    )
+    if not ok:
+        raise HTTPException(404, "Passering ikke funnet")
+    return {"ok": True}
+
+
+@app.delete("/api/passages/{passage_id}")
+async def remove_passage(passage_id: str, db=Depends(get_connection)):
+    ok = await delete_passage(db, passage_id)
+    if not ok:
+        raise HTTPException(404, "Passering ikke funnet")
+    return {"ok": True}
+
+
+# =====================
+# Resultater
+# =====================
+
+@app.get("/api/results")
+async def get_results_endpoint(db=Depends(get_connection)):
+    return await get_results(db)
+
+
+# =====================
+# Bilder
+# =====================
+
+@app.get("/api/images/{path:path}")
+async def serve_image(path: str):
+    """Lever behandlede bilder til frontend."""
+    full_path = Path("/processed") / path
+    if not full_path.exists() or not full_path.is_file():
+        raise HTTPException(404, "Bilde ikke funnet")
+    # Sjekk at stien er innenfor /processed (path traversal)
+    try:
+        full_path.resolve().relative_to(Path("/processed").resolve())
+    except ValueError:
+        raise HTTPException(403, "Forbudt")
+    return FileResponse(full_path)
+
+
+# =====================
+# Helse
+# =====================
+
+@app.get("/api/health")
+async def health():
+    return {"status": "ok"}

backend/exif_parser.py

@@ -0,0 +1,156 @@
+"""
+Parse og normaliser EXIF-metadata fra bilder.
+Returnerer et strukturert dict eller kaster ExifError ved manglende/ugyldig data.
+"""
+
+import re
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Optional
+
+import piexif
+from PIL import Image
+
+
+class ExifError(ValueError):
+    pass
+
+
+@dataclass
+class ImageMetadata:
+    timestamp_utc: datetime
+    gps_lat: float
+    gps_lon: float
+    gps_alt: Optional[float]
+    station: Optional[str]  # fra ImageDescription eller CameraLabel
+
+
+def _rational_to_float(rational) -> float:
+    """Konverter EXIF rational (teller, nevner) til float."""
+    if isinstance(rational, tuple):
+        num, den = rational
+        if den == 0:
+            return 0.0
+        return num / den
+    return float(rational)
+
+
+def _parse_gps_coord(dms_rationals, ref: str) -> float:
+    """Konverter GPS DMS rationals + referanse til desimalgrader."""
+    deg = _rational_to_float(dms_rationals[0])
+    min_ = _rational_to_float(dms_rationals[1])
+    sec = _rational_to_float(dms_rationals[2])
+    value = deg + min_ / 60.0 + sec / 3600.0
+    if ref in ("S", "W"):
+        value = -value
+    return value
+
+
+def _parse_timestamp(exif_dict: dict) -> datetime:
+    """
+    Hent tidsstempel fra DateTimeOriginal + SubSecTimeOriginal.
+    Returnerer datetime i UTC. Kaster ExifError hvis manglende.
+    """
+    ifd0 = exif_dict.get("Exif", {})
+
+    raw_dt = ifd0.get(piexif.ExifIFD.DateTimeOriginal)
+    if not raw_dt:
+        raise ExifError("Mangler DateTimeOriginal i EXIF")
+
+    if isinstance(raw_dt, bytes):
+        raw_dt = raw_dt.decode("ascii", errors="replace")
+
+    # Format: "2024:06:15 10:23:45"
+    try:
+        dt = datetime.strptime(raw_dt.strip(), "%Y:%m:%d %H:%M:%S")
+    except ValueError as e:
+        raise ExifError(f"Ugyldig DateTimeOriginal-format: {raw_dt!r}") from e
+
+    # Sub-sekunder
+    raw_sub = ifd0.get(piexif.ExifIFD.SubSecTimeOriginal)
+    microseconds = 0
+    if raw_sub:
+        if isinstance(raw_sub, bytes):
+            raw_sub = raw_sub.decode("ascii", errors="replace")
+        sub_str = raw_sub.strip()
+        if sub_str.isdigit():
+            # Pad/truncate til 6 siffer (mikrosekunder)
+            sub_str = (sub_str + "000000")[:6]
+            microseconds = int(sub_str)
+
+    dt = dt.replace(microsecond=microseconds, tzinfo=timezone.utc)
+    return dt
+
+
+def _parse_gps(exif_dict: dict) -> tuple[float, float, Optional[float]]:
+    """
+    Hent GPS-koordinater. Kaster ExifError hvis lat/lon mangler.
+    """
+    gps = exif_dict.get("GPS", {})
+
+    lat_dms = gps.get(piexif.GPSIFD.GPSLatitude)
+    lat_ref = gps.get(piexif.GPSIFD.GPSLatitudeRef)
+    lon_dms = gps.get(piexif.GPSIFD.GPSLongitude)
+    lon_ref = gps.get(piexif.GPSIFD.GPSLongitudeRef)
+
+    if not (lat_dms and lat_ref and lon_dms and lon_ref):
+        raise ExifError("Mangler GPS-koordinater (lat/lon) i EXIF")
+
+    if isinstance(lat_ref, bytes):
+        lat_ref = lat_ref.decode("ascii")
+    if isinstance(lon_ref, bytes):
+        lon_ref = lon_ref.decode("ascii")
+
+    lat = _parse_gps_coord(lat_dms, lat_ref)
+    lon = _parse_gps_coord(lon_dms, lon_ref)
+
+    alt = None
+    alt_raw = gps.get(piexif.GPSIFD.GPSAltitude)
+    if alt_raw:
+        alt = _rational_to_float(alt_raw)
+        alt_ref = gps.get(piexif.GPSIFD.GPSAltitudeRef, 0)
+        if alt_ref == 1:
+            alt = -alt
+
+    return lat, lon, alt
+
+
+def _parse_station(exif_dict: dict) -> Optional[str]:
+    """Hent stasjonsnavn fra ImageDescription."""
+    ifd0 = exif_dict.get("0th", {})
+    desc = ifd0.get(piexif.ImageIFD.ImageDescription)
+    if desc:
+        if isinstance(desc, bytes):
+            desc = desc.decode("utf-8", errors="replace")
+        return desc.strip() or None
+    return None
+
+
+def parse_image(path: Path) -> ImageMetadata:
+    """
+    Les EXIF fra bildefil og returner ImageMetadata.
+    Kaster ExifError hvis påkrevde felt mangler.
+    """
+    try:
+        img = Image.open(path)
+        raw_exif = img.info.get("exif")
+        if not raw_exif:
+            raise ExifError("Bildet har ingen EXIF-data")
+        exif_dict = piexif.load(raw_exif)
+    except ExifError:
+        raise
+    except Exception as e:
+        raise ExifError(f"Kunne ikke lese EXIF: {e}") from e
+
+    timestamp = _parse_timestamp(exif_dict)
+    lat, lon, alt = _parse_gps(exif_dict)
+    station = _parse_station(exif_dict)
+
+    return ImageMetadata(
+        timestamp_utc=timestamp,
+        gps_lat=lat,
+        gps_lon=lon,
+        gps_alt=alt,
+        station=station,
+    )

backend/ingest.py

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+"""
+Bildehåndtering:
+- Overvåk depot/-katalogen for nye bilder
+- Valider EXIF
+- Kjør OCR
+- Flytt til processed/ med unikt filnavn
+- Logg passering til DB
+
+Kan kjøres som egen prosess (python ingest.py) eller importeres av API.
+"""
+
+import asyncio
+import logging
+import shutil
+import uuid
+from pathlib import Path
+
+import aiosqlite
+from watchdog.events import FileSystemEventHandler, FileCreatedEvent
+from watchdog.observers import Observer
+
+from exif_parser import ExifError, parse_image
+from ocr import read_bib
+from passage_log import log_passage
+from profile_db import get_athlete_by_bib, init_db
+
+logger = logging.getLogger(__name__)
+
+DEPOT_DIR = Path("/depot")
+PROCESSED_DIR = Path("/processed")
+REJECTED_DIR = DEPOT_DIR / "rejected"
+DB_PATH = "/data/timing.db"
+
+# Konfidens-terskel for automatisk logging
+MIN_AUTO_CONFIDENCE = 0.75
+
+VALID_SUFFIXES = {".jpg", ".jpeg", ".png"}
+
+
+def _destination_path(source: Path, timestamp) -> Path:
+    """
+    Bygg destinasjonssti: processed/<år>/<måned>/<uuid>_<originalfilnavn>
+    """
+    year = timestamp.strftime("%Y")
+    month = timestamp.strftime("%m")
+    unique_name = f"{uuid.uuid4().hex}_{source.name}"
+    dest = PROCESSED_DIR / year / month / unique_name
+    dest.parent.mkdir(parents=True, exist_ok=True)
+    return dest
+
+
+async def process_image(path: Path) -> None:
+    """
+    Behandle ett bilde: valider EXIF, kjør OCR, flytt fil, logg passering.
+    """
+    if path.suffix.lower() not in VALID_SUFFIXES:
+        logger.debug("Ignorerer ikke-bilde: %s", path)
+        return
+
+    logger.info("Behandler: %s", path.name)
+
+    # --- EXIF-validering ---
+    try:
+        meta = parse_image(path)
+    except ExifError as e:
+        logger.warning("Ugyldig EXIF i %s: %s — avviser", path.name, e)
+        REJECTED_DIR.mkdir(parents=True, exist_ok=True)
+        shutil.move(str(path), str(REJECTED_DIR / path.name))
+        return
+
+    # --- OCR ---
+    ocr = read_bib(path)
+    logger.debug("OCR: digits=%s conf=%.2f", ocr.digits, ocr.confidence)
+
+    # --- Flytt til processed/ ---
+    dest = _destination_path(path, meta.timestamp_utc)
+    shutil.move(str(path), str(dest))
+    logger.info("Flyttet til: %s", dest)
+
+    # --- Bestem konfidens og review-flagg ---
+    confidence = ocr.confidence
+    needs_review = False
+    review_note = None
+    id_method = "bib_ocr"
+
+    if ocr.digits is None or confidence < MIN_AUTO_CONFIDENCE:
+        needs_review = True
+        review_note = "number_unreadable" if ocr.digits is None else "low_confidence"
+        id_method = "bib_ocr_uncertain"
+
+    # --- Koble mot profil-DB ---
+    profile_id = None
+    bib_number = ocr.digits
+
+    async with aiosqlite.connect(DB_PATH) as db:
+        db.row_factory = aiosqlite.Row
+        await init_db(db)
+
+        if bib_number and not needs_review:
+            athlete = await get_athlete_by_bib(db, bib_number)
+            if athlete:
+                profile_id = athlete["profile_id"]
+            else:
+                logger.debug("Ukjent startnummer: %s", bib_number)
+
+        await log_passage(
+            db,
+            profile_id=profile_id,
+            bib_number=bib_number,
+            station=meta.station or "unknown",
+            timestamp_utc=meta.timestamp_utc,
+            gps_lat=meta.gps_lat,
+            gps_lon=meta.gps_lon,
+            gps_alt=meta.gps_alt,
+            confidence=confidence,
+            id_method=id_method,
+            source_image=str(dest),
+            needs_review=needs_review,
+            review_note=review_note,
+        )
+        logger.info(
+            "Passering logget: bib=%s station=%s needs_review=%s",
+            bib_number, meta.station, needs_review,
+        )
+
+
+async def process_existing() -> None:
+    """Behandle bilder som allerede ligger i depot/ ved oppstart."""
+    for path in sorted(DEPOT_DIR.glob("*")):
+        if path.is_file() and path.suffix.lower() in VALID_SUFFIXES:
+            await process_image(path)
+
+
+class DepotHandler(FileSystemEventHandler):
+    """Watchdog-handler: kaller process_image ved nye filer."""
+
+    def __init__(self, loop: asyncio.AbstractEventLoop):
+        self._loop = loop
+
+    def on_created(self, event: FileCreatedEvent):
+        if not event.is_directory:
+            path = Path(event.src_path)
+            asyncio.run_coroutine_threadsafe(process_image(path), self._loop)
+
+
+async def watch_depot() -> None:
+    """Start filsystem-overvåkning av depot/."""
+    loop = asyncio.get_running_loop()
+    handler = DepotHandler(loop)
+    observer = Observer()
+    observer.schedule(handler, str(DEPOT_DIR), recursive=False)
+    observer.start()
+    logger.info("Overvåker depot: %s", DEPOT_DIR)
+
+    try:
+        while True:
+            await asyncio.sleep(1)
+    finally:
+        observer.stop()
+        observer.join()
+
+
+async def main() -> None:
+    logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s")
+    await process_existing()
+    await watch_depot()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

backend/ocr.py

@@ -0,0 +1,108 @@
+"""
+Startnummer-deteksjon og OCR.
+Bruker EasyOCR for å lese sifre fra bib-nummerlapp.
+Returnerer en OcrResult med tall, konfidens og partial-flagg.
+"""
+
+import re
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Optional
+
+import cv2
+import numpy as np
+
+# EasyOCR lastes lazy for å unngå lang oppstartstid
+_reader = None
+
+
+def _get_reader():
+    global _reader
+    if _reader is None:
+        import easyocr
+        _reader = easyocr.Reader(["en"], gpu=False, verbose=False)
+    return _reader
+
+
+@dataclass
+class OcrResult:
+    digits: Optional[str]       # Gjenkjente sifre, f.eks. "42", None hvis ingen
+    confidence: float           # 0.0–1.0
+    partial: bool               # True hvis nummeret trolig er delvis skjult
+    raw_texts: list[str] = field(default_factory=list)  # Alle OCR-treff for debug
+
+
+def _preprocess(image_path: Path) -> np.ndarray:
+    """Forbered bilde for OCR: gråskala, kontrast, skarphet."""
+    img = cv2.imread(str(image_path))
+    if img is None:
+        raise ValueError(f"Kunne ikke lese bilde: {image_path}")
+
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+    # CLAHE for bedre kontrast i varierende lys
+    clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
+    enhanced = clahe.apply(gray)
+
+    # Skaler opp hvis bildet er lite (OCR er bedre på større tekst)
+    h, w = enhanced.shape
+    if max(h, w) < 800:
+        scale = 800 / max(h, w)
+        enhanced = cv2.resize(
+            enhanced, (int(w * scale), int(h * scale)),
+            interpolation=cv2.INTER_CUBIC,
+        )
+
+    return enhanced
+
+
+def _extract_bib_number(texts: list[tuple]) -> tuple[Optional[str], float, bool]:
+    """
+    Finn beste siffersekvens blant OCR-treff.
+    Returnerer (sifre, konfidens, partial).
+    """
+    candidates = []
+    for (_, text, conf) in texts:
+        # Behold kun sifre
+        digits = re.sub(r"[^0-9]", "", text)
+        if digits:
+            candidates.append((digits, float(conf)))
+
+    if not candidates:
+        return None, 0.0, False
+
+    # Velg kandidat med høyest konfidens
+    best_digits, best_conf = max(candidates, key=lambda x: x[1])
+
+    # Heuristikk: 1–2 sifre kan tyde på delvis synlig nummer
+    partial = len(best_digits) < 2
+
+    return best_digits, best_conf, partial
+
+
+def read_bib(image_path: Path) -> OcrResult:
+    """
+    Les startnummer fra bildet.
+    Returnerer OcrResult. Aldri exception — fallback til konfidens 0 ved feil.
+    """
+    try:
+        processed = _preprocess(image_path)
+        reader = _get_reader()
+        results = reader.readtext(processed, detail=1, paragraph=False)
+
+        raw_texts = [text for (_, text, _) in results]
+        digits, confidence, partial = _extract_bib_number(results)
+
+        return OcrResult(
+            digits=digits,
+            confidence=confidence,
+            partial=partial,
+            raw_texts=raw_texts,
+        )
+    except Exception as e:
+        return OcrResult(
+            digits=None,
+            confidence=0.0,
+            partial=False,
+            raw_texts=[f"ERROR: {e}"],
+        )

backend/passage_log.py

@@ -0,0 +1,119 @@
+"""
+Skriv og query passeringslogg i SQLite.
+"""
+
+import uuid
+from datetime import datetime
+from typing import Optional
+
+import aiosqlite
+
+
+async def log_passage(
+    db: aiosqlite.Connection,
+    *,
+    profile_id: Optional[str],
+    bib_number: Optional[str],
+    station: str,
+    timestamp_utc: datetime,
+    gps_lat: float,
+    gps_lon: float,
+    gps_alt: Optional[float],
+    confidence: float,
+    id_method: str,
+    source_image: str,
+    needs_review: bool = False,
+    review_note: Optional[str] = None,
+) -> str:
+    """Logg én passering. Returnerer passage_id."""
+    passage_id = str(uuid.uuid4())
+    await db.execute(
+        """
+        INSERT INTO passages (
+            passage_id, profile_id, bib_number, station,
+            timestamp_utc, gps_lat, gps_lon, gps_alt,
+            confidence, id_method, source_image,
+            needs_review, review_note
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """,
+        (
+            passage_id,
+            profile_id,
+            bib_number,
+            station,
+            timestamp_utc.isoformat(),
+            gps_lat,
+            gps_lon,
+            gps_alt,
+            confidence,
+            id_method,
+            source_image,
+            int(needs_review),
+            review_note,
+        ),
+    )
+    await db.commit()
+    return passage_id
+
+
+async def get_passages(
+    db: aiosqlite.Connection,
+    profile_id: Optional[str] = None,
+    station: Optional[str] = None,
+    needs_review: Optional[bool] = None,
+) -> list[dict]:
+    """Hent passeringer med valgfrie filtre."""
+    clauses = []
+    params = []
+
+    if profile_id is not None:
+        clauses.append("p.profile_id = ?")
+        params.append(profile_id)
+    if station is not None:
+        clauses.append("p.station = ?")
+        params.append(station)
+    if needs_review is not None:
+        clauses.append("p.needs_review = ?")
+        params.append(int(needs_review))
+
+    where = ("WHERE " + " AND ".join(clauses)) if clauses else ""
+
+    query = f"""
+        SELECT p.*, a.name, a.club
+        FROM passages p
+        LEFT JOIN athletes a ON a.profile_id = p.profile_id
+        {where}
+        ORDER BY p.timestamp_utc
+    """
+    async with db.execute(query, params) as cur:
+        rows = await cur.fetchall()
+    return [dict(r) for r in rows]
+
+
+async def resolve_passage(
+    db: aiosqlite.Connection,
+    passage_id: str,
+    profile_id: Optional[str],
+    bib_number: Optional[str],
+    review_note: Optional[str] = None,
+) -> bool:
+    """Manuell oppdatering av en passering etter gjennomgang."""
+    cur = await db.execute(
+        """
+        UPDATE passages
+        SET profile_id = ?, bib_number = ?, needs_review = 0,
+            review_note = ?, id_method = 'manual'
+        WHERE passage_id = ?
+        """,
+        (profile_id, bib_number, review_note, passage_id),
+    )
+    await db.commit()
+    return cur.rowcount > 0
+
+
+async def delete_passage(db: aiosqlite.Connection, passage_id: str) -> bool:
+    cur = await db.execute(
+        "DELETE FROM passages WHERE passage_id = ?", (passage_id,)
+    )
+    await db.commit()
+    return cur.rowcount > 0

backend/profile_db.py

@@ -0,0 +1,151 @@
+"""
+CRUD for utøverprofiler og startliste.
+Bruker aiosqlite for async tilgang fra FastAPI.
+"""
+
+import csv
+import io
+import uuid
+from typing import Optional
+
+import aiosqlite
+
+DB_PATH = "/data/timing.db"
+
+
+async def init_db(db: aiosqlite.Connection) -> None:
+    await db.executescript("""
+        CREATE TABLE IF NOT EXISTS athletes (
+            profile_id   TEXT PRIMARY KEY,
+            bib_number   TEXT UNIQUE,
+            name         TEXT,
+            club         TEXT,
+            created_at   TEXT NOT NULL DEFAULT (datetime('now'))
+        );
+
+        CREATE TABLE IF NOT EXISTS passages (
+            passage_id   TEXT PRIMARY KEY,
+            profile_id   TEXT REFERENCES athletes(profile_id),
+            bib_number   TEXT,
+            station      TEXT NOT NULL,
+            timestamp_utc TEXT NOT NULL,
+            gps_lat      REAL,
+            gps_lon      REAL,
+            gps_alt      REAL,
+            confidence   REAL,
+            id_method    TEXT,
+            source_image TEXT,
+            needs_review INTEGER NOT NULL DEFAULT 0,
+            review_note  TEXT,
+            created_at   TEXT NOT NULL DEFAULT (datetime('now'))
+        );
+
+        CREATE INDEX IF NOT EXISTS idx_passages_profile ON passages(profile_id);
+        CREATE INDEX IF NOT EXISTS idx_passages_station ON passages(station);
+        CREATE INDEX IF NOT EXISTS idx_passages_needs_review ON passages(needs_review);
+    """)
+    await db.commit()
+
+
+async def get_db() -> aiosqlite.Connection:
+    db = await aiosqlite.connect(DB_PATH)
+    db.row_factory = aiosqlite.Row
+    await init_db(db)
+    return db
+
+
+# --- Utøverprofiler ---
+
+async def upsert_athlete(
+    db: aiosqlite.Connection,
+    bib_number: str,
+    name: str,
+    club: Optional[str] = None,
+) -> str:
+    """Opprett eller oppdater utøver basert på startnummer. Returnerer profile_id."""
+    async with db.execute(
+        "SELECT profile_id FROM athletes WHERE bib_number = ?", (bib_number,)
+    ) as cur:
+        row = await cur.fetchone()
+
+    if row:
+        profile_id = row["profile_id"]
+        await db.execute(
+            "UPDATE athletes SET name = ?, club = ? WHERE profile_id = ?",
+            (name, club, profile_id),
+        )
+    else:
+        profile_id = str(uuid.uuid4())
+        await db.execute(
+            "INSERT INTO athletes (profile_id, bib_number, name, club) VALUES (?, ?, ?, ?)",
+            (profile_id, bib_number, name, club),
+        )
+    await db.commit()
+    return profile_id
+
+
+async def import_startlist_csv(db: aiosqlite.Connection, csv_content: str) -> dict:
+    """
+    Importer startliste fra CSV-streng.
+    Forventet kolonner: bib_number, name (og valgfritt: club)
+    Returnerer {'imported': N, 'errors': [...]}
+    """
+    reader = csv.DictReader(io.StringIO(csv_content))
+    imported = 0
+    errors = []
+
+    # Normaliser kolonnenavn (fjern whitespace, lowercase)
+    fieldnames = [f.strip().lower() for f in (reader.fieldnames or [])]
+    if "bib_number" not in fieldnames and "bib" not in fieldnames:
+        return {"imported": 0, "errors": ["CSV mangler 'bib_number'-kolonne"]}
+    if "name" not in fieldnames:
+        return {"imported": 0, "errors": ["CSV mangler 'name'-kolonne"]}
+
+    bib_col = "bib_number" if "bib_number" in fieldnames else "bib"
+
+    for i, row in enumerate(reader, start=2):
+        # Normaliser nøkler
+        row = {k.strip().lower(): v.strip() for k, v in row.items()}
+        bib = row.get(bib_col, "").strip()
+        name = row.get("name", "").strip()
+        club = row.get("club", "").strip() or None
+
+        if not bib or not name:
+            errors.append(f"Rad {i}: mangler bib eller navn")
+            continue
+        try:
+            await upsert_athlete(db, bib, name, club)
+            imported += 1
+        except Exception as e:
+            errors.append(f"Rad {i}: {e}")
+
+    return {"imported": imported, "errors": errors}
+
+
+async def get_athlete_by_bib(db: aiosqlite.Connection, bib: str) -> Optional[dict]:
+    async with db.execute(
+        "SELECT * FROM athletes WHERE bib_number = ?", (bib,)
+    ) as cur:
+        row = await cur.fetchone()
+    return dict(row) if row else None
+
+
+async def list_athletes(db: aiosqlite.Connection) -> list[dict]:
+    async with db.execute(
+        "SELECT * FROM athletes ORDER BY CAST(bib_number AS INTEGER), bib_number"
+    ) as cur:
+        rows = await cur.fetchall()
+    return [dict(r) for r in rows]
+
+
+async def delete_athlete(db: aiosqlite.Connection, profile_id: str) -> bool:
+    cur = await db.execute(
+        "DELETE FROM athletes WHERE profile_id = ?", (profile_id,)
+    )
+    await db.commit()
+    return cur.rowcount > 0
+
+
+async def clear_startlist(db: aiosqlite.Connection) -> None:
+    await db.execute("DELETE FROM athletes")
+    await db.commit()

backend/requirements.txt

@@ -0,0 +1,9 @@
+fastapi==0.115.6
+uvicorn[standard]==0.34.0
+pillow==11.1.0
+piexif==1.1.3
+easyocr==1.7.2
+opencv-python-headless==4.11.0.86
+python-multipart==0.0.20
+watchdog==6.0.0
+aiosqlite==0.21.0

backend/results.py

@@ -0,0 +1,125 @@
+"""
+Beregn split-tider og totalresultat fra passeringsloggen.
+"""
+
+from datetime import datetime
+from typing import Optional
+
+import aiosqlite
+
+
+async def get_results(db: aiosqlite.Connection) -> list[dict]:
+    """
+    Hent totalresultat for alle utøvere som har passert start og mål.
+    Returnerer sortert liste med split-tider.
+    """
+    # Hent alle bekreftede passeringer gruppert per utøver
+    async with db.execute("""
+        SELECT p.profile_id, p.bib_number, a.name, a.club,
+               p.station, p.timestamp_utc
+        FROM passages p
+        LEFT JOIN athletes a ON a.profile_id = p.profile_id
+        WHERE p.needs_review = 0 AND p.profile_id IS NOT NULL
+        ORDER BY p.profile_id, p.timestamp_utc
+    """) as cur:
+        rows = await cur.fetchall()
+
+    # Grupper per utøver
+    athletes: dict[str, dict] = {}
+    for row in rows:
+        pid = row["profile_id"]
+        if pid not in athletes:
+            athletes[pid] = {
+                "profile_id": pid,
+                "bib_number": row["bib_number"],
+                "name": row["name"],
+                "club": row["club"],
+                "passages": [],
+            }
+        athletes[pid]["passages"].append({
+            "station": row["station"],
+            "timestamp_utc": row["timestamp_utc"],
+        })
+
+    results = []
+    for pid, data in athletes.items():
+        passages = data["passages"]
+        if not passages:
+            continue
+
+        # Finn start og mål
+        start_p = next((p for p in passages if p["station"] == "start"), None)
+        finish_p = next((p for p in passages if p["station"] == "finish"), None)
+
+        start_time = _parse_ts(start_p["timestamp_utc"]) if start_p else None
+        finish_time = _parse_ts(finish_p["timestamp_utc"]) if finish_p else None
+
+        total_seconds = None
+        if start_time and finish_time:
+            total_seconds = (finish_time - start_time).total_seconds()
+
+        # Split-tider mellom alle stasjoner
+        splits = []
+        prev_ts = start_time
+        prev_station = "start"
+        for p in passages:
+            if p["station"] == "start":
+                continue
+            ts = _parse_ts(p["timestamp_utc"])
+            split_s = (ts - prev_ts).total_seconds() if prev_ts else None
+            splits.append({
+                "from": prev_station,
+                "to": p["station"],
+                "split_seconds": split_s,
+                "split_formatted": _fmt_seconds(split_s),
+                "timestamp_utc": p["timestamp_utc"],
+            })
+            prev_ts = ts
+            prev_station = p["station"]
+
+        results.append({
+            "profile_id": pid,
+            "bib_number": data["bib_number"],
+            "name": data["name"] or f"Ukjent ({data['bib_number']})",
+            "club": data["club"],
+            "start_time": start_p["timestamp_utc"] if start_p else None,
+            "finish_time": finish_p["timestamp_utc"] if finish_p else None,
+            "total_seconds": total_seconds,
+            "total_formatted": _fmt_seconds(total_seconds),
+            "splits": splits,
+            "dnf": finish_time is None and start_time is not None,
+            "dns": start_time is None,
+        })
+
+    # Sorter: fullført (etter tid), DNF, DNS
+    results.sort(key=_sort_key)
+    return results
+
+
+def _parse_ts(ts_str: str) -> Optional[datetime]:
+    if not ts_str:
+        return None
+    try:
+        return datetime.fromisoformat(ts_str)
+    except ValueError:
+        return None
+
+
+def _fmt_seconds(seconds: Optional[float]) -> Optional[str]:
+    if seconds is None:
+        return None
+    seconds = int(seconds)
+    h = seconds // 3600
+    m = (seconds % 3600) // 60
+    s = seconds % 60
+    if h:
+        return f"{h}:{m:02d}:{s:02d}"
+    return f"{m}:{s:02d}"
+
+
+def _sort_key(r: dict):
+    if r["dns"]:
+        return (3, 0)
+    if r["dnf"]:
+        return (2, 0)
+    return (1, r["total_seconds"] or float("inf"))

docker-compose.yml

@@ -0,0 +1,20 @@
+services:
+  backend:
+    build: ./backend
+    ports:
+      - "8000:8000"
+    volumes:
+      - ./depot:/depot
+      - ./processed:/processed
+      - ./data:/data
+    environment:
+      - PYTHONUNBUFFERED=1
+    restart: unless-stopped
+
+  frontend:
+    build: ./frontend
+    ports:
+      - "3000:80"
+    depends_on:
+      - backend
+    restart: unless-stopped

frontend/.gitignore

@@ -0,0 +1,24 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?

frontend/Dockerfile

@@ -0,0 +1,11 @@
+FROM node:22-alpine AS build
+WORKDIR /app
+COPY package*.json ./
+RUN npm ci
+COPY . .
+RUN npm run build
+
+FROM nginx:alpine
+COPY --from=build /app/dist /usr/share/nginx/html
+COPY nginx.conf /etc/nginx/conf.d/default.conf
+EXPOSE 80

frontend/README.md

@@ -0,0 +1,16 @@
+# React + Vite
+
+This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
+
+Currently, two official plugins are available:
+
+- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Oxc](https://oxc.rs)
+- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/)
+
+## React Compiler
+
+The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation).
+
+## Expanding the ESLint configuration
+
+If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the [TS template](https://github.com/vitejs/vite/tree/main/packages/create-vite/template-react-ts) for information on how to integrate TypeScript and [`typescript-eslint`](https://typescript-eslint.io) in your project.

frontend/eslint.config.js

@@ -0,0 +1,29 @@
+import js from '@eslint/js'
+import globals from 'globals'
+import reactHooks from 'eslint-plugin-react-hooks'
+import reactRefresh from 'eslint-plugin-react-refresh'
+import { defineConfig, globalIgnores } from 'eslint/config'
+
+export default defineConfig([
+  globalIgnores(['dist']),
+  {
+    files: ['**/*.{js,jsx}'],
+    extends: [
+      js.configs.recommended,
+      reactHooks.configs.flat.recommended,
+      reactRefresh.configs.vite,
+    ],
+    languageOptions: {
+      ecmaVersion: 2020,
+      globals: globals.browser,
+      parserOptions: {
+        ecmaVersion: 'latest',
+        ecmaFeatures: { jsx: true },
+        sourceType: 'module',
+      },
+    },
+    rules: {
+      'no-unused-vars': ['error', { varsIgnorePattern: '^[A-Z_]' }],
+    },
+  },
+])

frontend/index.html

@@ -0,0 +1,13 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>frontend</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.jsx"></script>
+  </body>
+</html>

frontend/nginx.conf

@@ -0,0 +1,18 @@
+server {
+    listen 80;
+
+    root /usr/share/nginx/html;
+    index index.html;
+
+    # SPA: alle ruter går til index.html
+    location / {
+        try_files $uri $uri/ /index.html;
+    }
+
+    # Proxy API-kall til backend
+    location /api/ {
+        proxy_pass http://backend:8000;
+        proxy_set_header Host $host;
+        proxy_set_header X-Real-IP $remote_addr;
+    }
+}

frontend/package.json

@@ -0,0 +1,28 @@
+{
+  "name": "frontend",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "lint": "eslint .",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "react": "^19.2.4",
+    "react-dom": "^19.2.4",
+    "react-router-dom": "^7.13.1"
+  },
+  "devDependencies": {
+    "@eslint/js": "^9.39.4",
+    "@types/react": "^19.2.14",
+    "@types/react-dom": "^19.2.3",
+    "@vitejs/plugin-react": "^6.0.1",
+    "eslint": "^9.39.4",
+    "eslint-plugin-react-hooks": "^7.0.1",
+    "eslint-plugin-react-refresh": "^0.5.2",
+    "globals": "^17.4.0",
+    "vite": "^8.0.1"
+  }
+}

frontend/public/icons.svg

@@ -0,0 +1,24 @@
+<svg xmlns="http://www.w3.org/2000/svg">
+  <symbol id="bluesky-icon" viewBox="0 0 16 17">
+    <g clip-path="url(#bluesky-clip)"><path fill="#08060d" d="M7.75 7.735c-.693-1.348-2.58-3.86-4.334-5.097-1.68-1.187-2.32-.981-2.74-.79C.188 2.065.1 2.812.1 3.251s.241 3.602.398 4.13c.52 1.744 2.367 2.333 4.07 2.145-2.495.37-4.71 1.278-1.805 4.512 3.196 3.309 4.38-.71 4.987-2.746.608 2.036 1.307 5.91 4.93 2.746 2.72-2.746.747-4.143-1.747-4.512 1.702.189 3.55-.4 4.07-2.145.156-.528.397-3.691.397-4.13s-.088-1.186-.575-1.406c-.42-.19-1.06-.395-2.741.79-1.755 1.24-3.64 3.752-4.334 5.099"/></g>
+    <defs><clipPath id="bluesky-clip"><path fill="#fff" d="M.1.85h15.3v15.3H.1z"/></clipPath></defs>
+  </symbol>
+  <symbol id="discord-icon" viewBox="0 0 20 19">
+    <path fill="#08060d" d="M16.224 3.768a14.5 14.5 0 0 0-3.67-1.153c-.158.286-.343.67-.47.976a13.5 13.5 0 0 0-4.067 0c-.128-.306-.317-.69-.476-.976A14.4 14.4 0 0 0 3.868 3.77C1.546 7.28.916 10.703 1.231 14.077a14.7 14.7 0 0 0 4.5 2.306q.545-.748.965-1.587a9.5 9.5 0 0 1-1.518-.74q.191-.14.372-.293c2.927 1.369 6.107 1.369 8.999 0q.183.152.372.294-.723.437-1.52.74.418.838.963 1.588a14.6 14.6 0 0 0 4.504-2.308c.37-3.911-.63-7.302-2.644-10.309m-9.13 8.234c-.878 0-1.599-.82-1.599-1.82 0-.998.705-1.82 1.6-1.82.894 0 1.614.82 1.599 1.82.001 1-.705 1.82-1.6 1.82m5.91 0c-.878 0-1.599-.82-1.599-1.82 0-.998.705-1.82 1.6-1.82.893 0 1.614.82 1.599 1.82 0 1-.706 1.82-1.6 1.82"/>
+  </symbol>
+  <symbol id="documentation-icon" viewBox="0 0 21 20">
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="m15.5 13.333 1.533 1.322c.645.555.967.833.967 1.178s-.322.623-.967 1.179L15.5 18.333m-3.333-5-1.534 1.322c-.644.555-.966.833-.966 1.178s.322.623.966 1.179l1.534 1.321"/>
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M17.167 10.836v-4.32c0-1.41 0-2.117-.224-2.68-.359-.906-1.118-1.621-2.08-1.96-.599-.21-1.349-.21-2.848-.21-2.623 0-3.935 0-4.983.369-1.684.591-3.013 1.842-3.641 3.428C3 6.449 3 7.684 3 10.154v2.122c0 2.558 0 3.838.706 4.726q.306.383.713.671c.76.536 1.79.64 3.581.66"/>
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M3 10a2.78 2.78 0 0 1 2.778-2.778c.555 0 1.209.097 1.748-.047.48-.129.854-.503.982-.982.145-.54.048-1.194.048-1.749a2.78 2.78 0 0 1 2.777-2.777"/>
+  </symbol>
+  <symbol id="github-icon" viewBox="0 0 19 19">
+    <path fill="#08060d" fill-rule="evenodd" d="M9.356 1.85C5.05 1.85 1.57 5.356 1.57 9.694a7.84 7.84 0 0 0 5.324 7.44c.387.079.528-.168.528-.376 0-.182-.013-.805-.013-1.454-2.165.467-2.616-.935-2.616-.935-.349-.91-.864-1.143-.864-1.143-.71-.48.051-.48.051-.48.787.051 1.2.805 1.2.805.695 1.194 1.817.857 2.268.649.064-.507.27-.857.49-1.052-1.728-.182-3.545-.857-3.545-3.87 0-.857.31-1.558.8-2.104-.078-.195-.349-1 .077-2.078 0 0 .657-.208 2.14.805a7.5 7.5 0 0 1 1.946-.26c.657 0 1.328.092 1.946.26 1.483-1.013 2.14-.805 2.14-.805.426 1.078.155 1.883.078 2.078.502.546.799 1.247.799 2.104 0 3.013-1.818 3.675-3.558 3.87.284.247.528.714.528 1.454 0 1.052-.012 1.896-.012 2.156 0 .208.142.455.528.377a7.84 7.84 0 0 0 5.324-7.441c.013-4.338-3.48-7.844-7.773-7.844" clip-rule="evenodd"/>
+  </symbol>
+  <symbol id="social-icon" viewBox="0 0 20 20">
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M12.5 6.667a4.167 4.167 0 1 0-8.334 0 4.167 4.167 0 0 0 8.334 0"/>
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M2.5 16.667a5.833 5.833 0 0 1 8.75-5.053m3.837.474.513 1.035c.07.144.257.282.414.309l.93.155c.596.1.736.536.307.965l-.723.73a.64.64 0 0 0-.152.531l.207.903c.164.715-.213.991-.84.618l-.872-.52a.63.63 0 0 0-.577 0l-.872.52c-.624.373-1.003.094-.84-.618l.207-.903a.64.64 0 0 0-.152-.532l-.723-.729c-.426-.43-.289-.864.306-.964l.93-.156a.64.64 0 0 0 .412-.31l.513-1.034c.28-.562.735-.562 1.012 0"/>
+  </symbol>
+  <symbol id="x-icon" viewBox="0 0 19 19">
+    <path fill="#08060d" fill-rule="evenodd" d="M1.893 1.98c.052.072 1.245 1.769 2.653 3.77l2.892 4.114c.183.261.333.48.333.486s-.068.089-.152.183l-.522.593-.765.867-3.597 4.087c-.375.426-.734.834-.798.905a1 1 0 0 0-.118.148c0 .01.236.017.664.017h.663l.729-.83c.4-.457.796-.906.879-.999a692 692 0 0 0 1.794-2.038c.034-.037.301-.34.594-.675l.551-.624.345-.392a7 7 0 0 1 .34-.374c.006 0 .93 1.306 2.052 2.903l2.084 2.965.045.063h2.275c1.87 0 2.273-.003 2.266-.021-.008-.02-1.098-1.572-3.894-5.547-2.013-2.862-2.28-3.246-2.273-3.266.008-.019.282-.332 2.085-2.38l2-2.274 1.567-1.782c.022-.028-.016-.03-.65-.03h-.674l-.3.342a871 871 0 0 1-1.782 2.025c-.067.075-.405.458-.75.852a100 100 0 0 1-.803.91c-.148.172-.299.344-.99 1.127-.304.343-.32.358-.345.327-.015-.019-.904-1.282-1.976-2.808L6.365 1.85H1.8zm1.782.91 8.078 11.294c.772 1.08 1.413 1.973 1.425 1.984.016.017.241.02 1.05.017l1.03-.004-2.694-3.766L7.796 5.75 5.722 2.852l-1.039-.004-1.039-.004z" clip-rule="evenodd"/>
+  </symbol>
+</svg>

frontend/src/App.css

@@ -0,0 +1,136 @@
+* {
+  box-sizing: border-box;
+  margin: 0;
+  padding: 0;
+}
+
+body {
+  font-family: system-ui, -apple-system, sans-serif;
+  background: #f5f5f5;
+  color: #222;
+}
+
+.navbar {
+  background: #1a1a2e;
+  color: white;
+  padding: 0.75rem 1.5rem;
+  display: flex;
+  align-items: center;
+  gap: 1.5rem;
+}
+
+.navbar-brand {
+  font-weight: 700;
+  font-size: 1.1rem;
+  margin-right: 1rem;
+}
+
+.nav-link {
+  color: #ccc;
+  text-decoration: none;
+  font-size: 0.95rem;
+  padding: 0.25rem 0;
+  border-bottom: 2px solid transparent;
+}
+
+.nav-link:hover { color: white; }
+
+.nav-link.active {
+  color: white;
+  border-bottom-color: #e94560;
+}
+
+.container {
+  max-width: 1100px;
+  margin: 2rem auto;
+  padding: 0 1rem;
+}
+
+h1 { font-size: 1.5rem; margin-bottom: 1.25rem; }
+h2 { font-size: 1.1rem; margin-bottom: 0.75rem; }
+
+.card {
+  background: white;
+  border-radius: 8px;
+  padding: 1.25rem;
+  box-shadow: 0 1px 4px rgba(0,0,0,0.08);
+  margin-bottom: 1.5rem;
+}
+
+table { width: 100%; border-collapse: collapse; font-size: 0.9rem; }
+th {
+  text-align: left;
+  padding: 0.5rem 0.75rem;
+  border-bottom: 2px solid #eee;
+  font-weight: 600;
+  color: #555;
+}
+td { padding: 0.5rem 0.75rem; border-bottom: 1px solid #f0f0f0; vertical-align: middle; }
+tr:last-child td { border-bottom: none; }
+tr:hover td { background: #fafafa; }
+
+button {
+  cursor: pointer;
+  border: none;
+  border-radius: 5px;
+  padding: 0.4rem 0.9rem;
+  font-size: 0.875rem;
+  font-weight: 500;
+}
+.btn-primary { background: #1a1a2e; color: white; }
+.btn-primary:hover { background: #2a2a4e; }
+.btn-danger { background: #e94560; color: white; }
+.btn-danger:hover { background: #c73550; }
+.btn-success { background: #2ecc71; color: white; }
+.btn-success:hover { background: #27ae60; }
+.btn-sm { padding: 0.25rem 0.6rem; font-size: 0.8rem; }
+
+.badge {
+  display: inline-block;
+  padding: 0.2rem 0.5rem;
+  border-radius: 12px;
+  font-size: 0.75rem;
+  font-weight: 600;
+}
+.badge-warning { background: #fff3cd; color: #856404; }
+.badge-success { background: #d1f2ea; color: #0e6655; }
+.badge-danger  { background: #fde8e8; color: #c0392b; }
+
+.alert { padding: 0.75rem 1rem; border-radius: 6px; margin-bottom: 1rem; }
+.alert-info    { background: #e8f4fd; color: #1a6a9a; }
+.alert-error   { background: #fde8e8; color: #c0392b; }
+.alert-success { background: #d1f2ea; color: #0e6655; }
+
+input[type="text"], input[type="file"], select, textarea {
+  border: 1px solid #ddd;
+  border-radius: 5px;
+  padding: 0.4rem 0.75rem;
+  font-size: 0.9rem;
+  width: 100%;
+}
+
+.form-row {
+  display: flex;
+  gap: 0.75rem;
+  align-items: flex-end;
+  margin-bottom: 0.75rem;
+  flex-wrap: wrap;
+}
+.form-group { display: flex; flex-direction: column; gap: 0.25rem; }
+.form-group label { font-size: 0.8rem; font-weight: 600; color: #555; }
+
+.empty-state { text-align: center; color: #aaa; padding: 2rem; }
+
+.image-preview {
+  max-width: 100%;
+  max-height: 300px;
+  border-radius: 6px;
+  border: 1px solid #eee;
+  display: block;
+  margin: 0.5rem 0;
+}
+
+.rank { font-weight: 700; color: #888; width: 2rem; text-align: right; }
+.rank-1 { color: #f39c12; }
+.rank-2 { color: #7f8c8d; }
+.rank-3 { color: #d35400; }

frontend/src/App.jsx

@@ -0,0 +1,35 @@
+import { NavLink, Route, Routes } from 'react-router-dom'
+import StartlistPage from './pages/StartlistPage.jsx'
+import ReviewPage from './pages/ReviewPage.jsx'
+import ResultsPage from './pages/ResultsPage.jsx'
+import PassagesPage from './pages/PassagesPage.jsx'
+import './App.css'
+
+function Nav() {
+  const linkClass = ({ isActive }) => (isActive ? 'nav-link active' : 'nav-link')
+  return (
+    <nav className="navbar">
+      <span className="navbar-brand">Timing Admin</span>
+      <NavLink to="/" className={linkClass} end>Startliste</NavLink>
+      <NavLink to="/passages" className={linkClass}>Passeringer</NavLink>
+      <NavLink to="/review" className={linkClass}>Gjennomgang</NavLink>
+      <NavLink to="/results" className={linkClass}>Resultater</NavLink>
+    </nav>
+  )
+}
+
+export default function App() {
+  return (
+    <>
+      <Nav />
+      <main className="container">
+        <Routes>
+          <Route path="/" element={<StartlistPage />} />
+          <Route path="/passages" element={<PassagesPage />} />
+          <Route path="/review" element={<ReviewPage />} />
+          <Route path="/results" element={<ResultsPage />} />
+        </Routes>
+      </main>
+    </>
+  )
+}

frontend/src/api.js

@@ -0,0 +1,41 @@
+const BASE = '/api'
+
+async function request(path, options = {}) {
+  const res = await fetch(`${BASE}${path}`, options)
+  if (!res.ok) {
+    const text = await res.text()
+    throw new Error(`${res.status} ${res.statusText}: ${text}`)
+  }
+  return res.json()
+}
+
+export const api = {
+  // Utøvere
+  getAthletes: () => request('/athletes'),
+  importCsv: (file) => {
+    const form = new FormData()
+    form.append('file', file)
+    return request('/athletes/import', { method: 'POST', body: form })
+  },
+  deleteAthlete: (id) => request(`/athletes/${id}`, { method: 'DELETE' }),
+  clearAthletes: () => request('/athletes/all', { method: 'DELETE' }),
+
+  // Passeringer
+  getPassages: (params = {}) => {
+    const qs = new URLSearchParams(
+      Object.fromEntries(Object.entries(params).filter(([, v]) => v != null))
+    ).toString()
+    return request(`/passages${qs ? '?' + qs : ''}`)
+  },
+  getReviewQueue: () => request('/passages/review'),
+  resolvePassage: (id, body) =>
+    request(`/passages/${id}/resolve`, {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify(body),
+    }),
+  deletePassage: (id) => request(`/passages/${id}`, { method: 'DELETE' }),
+
+  // Resultater
+  getResults: () => request('/results'),
+}

frontend/src/assets/react.svg

@@ -0,0 +1 @@
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frontend/src/index.css

@@ -0,0 +1,111 @@
+:root {
+  --text: #6b6375;
+  --text-h: #08060d;
+  --bg: #fff;
+  --border: #e5e4e7;
+  --code-bg: #f4f3ec;
+  --accent: #aa3bff;
+  --accent-bg: rgba(170, 59, 255, 0.1);
+  --accent-border: rgba(170, 59, 255, 0.5);
+  --social-bg: rgba(244, 243, 236, 0.5);
+  --shadow:
+    rgba(0, 0, 0, 0.1) 0 10px 15px -3px, rgba(0, 0, 0, 0.05) 0 4px 6px -2px;
+
+  --sans: system-ui, 'Segoe UI', Roboto, sans-serif;
+  --heading: system-ui, 'Segoe UI', Roboto, sans-serif;
+  --mono: ui-monospace, Consolas, monospace;
+
+  font: 18px/145% var(--sans);
+  letter-spacing: 0.18px;
+  color-scheme: light dark;
+  color: var(--text);
+  background: var(--bg);
+  font-synthesis: none;
+  text-rendering: optimizeLegibility;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+
+  @media (max-width: 1024px) {
+    font-size: 16px;
+  }
+}
+
+@media (prefers-color-scheme: dark) {
+  :root {
+    --text: #9ca3af;
+    --text-h: #f3f4f6;
+    --bg: #16171d;
+    --border: #2e303a;
+    --code-bg: #1f2028;
+    --accent: #c084fc;
+    --accent-bg: rgba(192, 132, 252, 0.15);
+    --accent-border: rgba(192, 132, 252, 0.5);
+    --social-bg: rgba(47, 48, 58, 0.5);
+    --shadow:
+      rgba(0, 0, 0, 0.4) 0 10px 15px -3px, rgba(0, 0, 0, 0.25) 0 4px 6px -2px;
+  }
+
+  #social .button-icon {
+    filter: invert(1) brightness(2);
+  }
+}
+
+body {
+  margin: 0;
+}
+
+#root {
+  width: 1126px;
+  max-width: 100%;
+  margin: 0 auto;
+  text-align: center;
+  border-inline: 1px solid var(--border);
+  min-height: 100svh;
+  display: flex;
+  flex-direction: column;
+  box-sizing: border-box;
+}
+
+h1,
+h2 {
+  font-family: var(--heading);
+  font-weight: 500;
+  color: var(--text-h);
+}
+
+h1 {
+  font-size: 56px;
+  letter-spacing: -1.68px;
+  margin: 32px 0;
+  @media (max-width: 1024px) {
+    font-size: 36px;
+    margin: 20px 0;
+  }
+}
+h2 {
+  font-size: 24px;
+  line-height: 118%;
+  letter-spacing: -0.24px;
+  margin: 0 0 8px;
+  @media (max-width: 1024px) {
+    font-size: 20px;
+  }
+}
+p {
+  margin: 0;
+}
+
+code,
+.counter {
+  font-family: var(--mono);
+  display: inline-flex;
+  border-radius: 4px;
+  color: var(--text-h);
+}
+
+code {
+  font-size: 15px;
+  line-height: 135%;
+  padding: 4px 8px;
+  background: var(--code-bg);
+}

frontend/src/main.jsx

@@ -0,0 +1,13 @@
+import { StrictMode } from 'react'
+import { createRoot } from 'react-dom/client'
+import { BrowserRouter } from 'react-router-dom'
+import './index.css'
+import App from './App.jsx'
+
+createRoot(document.getElementById('root')).render(
+  <StrictMode>
+    <BrowserRouter>
+      <App />
+    </BrowserRouter>
+  </StrictMode>,
+)

frontend/src/pages/PassagesPage.jsx

@@ -0,0 +1,108 @@
+import { useEffect, useState } from 'react'
+import { api } from '../api.js'
+
+function fmtTs(ts) {
+  if (!ts) return '—'
+  return new Date(ts).toLocaleString('no-NO', { timeZone: 'UTC' })
+}
+
+export default function PassagesPage() {
+  const [passages, setPassages] = useState([])
+  const [filter, setFilter] = useState({ station: '', needs_review: '' })
+
+  const load = async () => {
+    const params = {}
+    if (filter.station) params.station = filter.station
+    if (filter.needs_review !== '') params.needs_review = filter.needs_review === 'true'
+    const data = await api.getPassages(params)
+    setPassages(data)
+  }
+
+  useEffect(() => { load() }, [filter])
+
+  const handleDelete = async (id) => {
+    if (!confirm('Slett passering?')) return
+    await api.deletePassage(id)
+    await load()
+  }
+
+  return (
+    <>
+      <h1>Passeringer</h1>
+
+      <div className="card">
+        <div className="form-row">
+          <div className="form-group">
+            <label>Stasjon</label>
+            <input
+              type="text"
+              placeholder="f.eks. cp1"
+              style={{ width: 150 }}
+              value={filter.station}
+              onChange={e => setFilter(f => ({ ...f, station: e.target.value }))}
+            />
+          </div>
+          <div className="form-group">
+            <label>Status</label>
+            <select
+              style={{ width: 180 }}
+              value={filter.needs_review}
+              onChange={e => setFilter(f => ({ ...f, needs_review: e.target.value }))}
+            >
+              <option value="">Alle</option>
+              <option value="false">Bekreftet</option>
+              <option value="true">Trenger gjennomgang</option>
+            </select>
+          </div>
+        </div>
+      </div>
+
+      <div className="card">
+        <h2>Passeringer ({passages.length})</h2>
+        {passages.length === 0 ? (
+          <p className="empty-state">Ingen passeringer funnet.</p>
+        ) : (
+          <table>
+            <thead>
+              <tr>
+                <th>Startnr</th>
+                <th>Navn</th>
+                <th>Stasjon</th>
+                <th>Tidspunkt (UTC)</th>
+                <th>Konfidens</th>
+                <th>Metode</th>
+                <th>Status</th>
+                <th></th>
+              </tr>
+            </thead>
+            <tbody>
+              {passages.map(p => (
+                <tr key={p.passage_id}>
+                  <td><strong>{p.bib_number || '?'}</strong></td>
+                  <td>{p.name || '—'}</td>
+                  <td>{p.station}</td>
+                  <td style={{ whiteSpace: 'nowrap' }}>{fmtTs(p.timestamp_utc)}</td>
+                  <td>{p.confidence != null ? (p.confidence * 100).toFixed(0) + '%' : '—'}</td>
+                  <td><code style={{ fontSize: '0.75rem' }}>{p.id_method}</code></td>
+                  <td>
+                    {p.needs_review
+                      ? <span className="badge badge-warning">Gjennomgang</span>
+                      : <span className="badge badge-success">OK</span>}
+                  </td>
+                  <td>
+                    <button
+                      className="btn-danger btn-sm"
+                      onClick={() => handleDelete(p.passage_id)}
+                    >
+                      Slett
+                    </button>
+                  </td>
+                </tr>
+              ))}
+            </tbody>
+          </table>
+        )}
+      </div>
+    </>
+  )
+}

frontend/src/pages/ResultsPage.jsx

@@ -0,0 +1,125 @@
+import { useEffect, useState } from 'react'
+import { api } from '../api.js'
+
+function fmtTs(ts) {
+  if (!ts) return '—'
+  return new Date(ts).toLocaleTimeString('no-NO', { timeZone: 'UTC', hour12: false })
+}
+
+export default function ResultsPage() {
+  const [results, setResults] = useState([])
+  const [expanded, setExpanded] = useState(null)
+  const [loading, setLoading] = useState(true)
+
+  useEffect(() => {
+    api.getResults().then(data => {
+      setResults(data)
+      setLoading(false)
+    })
+  }, [])
+
+  const toggleExpand = (id) => setExpanded(e => e === id ? null : id)
+
+  if (loading) return <p>Laster...</p>
+
+  const finished = results.filter(r => !r.dns && !r.dnf)
+  const dnf = results.filter(r => r.dnf)
+  const dns = results.filter(r => r.dns)
+
+  return (
+    <>
+      <h1>Resultater</h1>
+
+      {results.length === 0 ? (
+        <div className="card">
+          <p className="empty-state">Ingen resultater tilgjengelig ennå.</p>
+        </div>
+      ) : (
+        <div className="card">
+          <table>
+            <thead>
+              <tr>
+                <th style={{ width: '2.5rem' }}>Pl.</th>
+                <th>Startnr</th>
+                <th>Navn</th>
+                <th>Klubb</th>
+                <th>Start</th>
+                <th>Mål</th>
+                <th>Totaltid</th>
+                <th></th>
+              </tr>
+            </thead>
+            <tbody>
+              {finished.map((r, i) => (
+                <>
+                  <tr key={r.profile_id} onClick={() => toggleExpand(r.profile_id)} style={{ cursor: 'pointer' }}>
+                    <td className={`rank rank-${i + 1}`}>{i + 1}.</td>
+                    <td><strong>{r.bib_number}</strong></td>
+                    <td>{r.name}</td>
+                    <td>{r.club || '—'}</td>
+                    <td>{fmtTs(r.start_time)}</td>
+                    <td>{fmtTs(r.finish_time)}</td>
+                    <td><strong>{r.total_formatted}</strong></td>
+                    <td style={{ color: '#aaa', fontSize: '0.8rem' }}>
+                      {expanded === r.profile_id ? '▲' : '▼'}
+                    </td>
+                  </tr>
+                  {expanded === r.profile_id && r.splits.length > 0 && (
+                    <tr key={r.profile_id + '_splits'}>
+                      <td colSpan={8} style={{ padding: '0.5rem 1rem 1rem' }}>
+                        <table className="split-table" style={{ width: 'auto', minWidth: 300 }}>
+                          <thead>
+                            <tr>
+                              <th>Fra</th>
+                              <th>Til</th>
+                              <th>Tid</th>
+                            </tr>
+                          </thead>
+                          <tbody>
+                            {r.splits.map((s, j) => (
+                              <tr key={j}>
+                                <td>{s.from}</td>
+                                <td>{s.to}</td>
+                                <td>{s.split_formatted || '—'}</td>
+                              </tr>
+                            ))}
+                          </tbody>
+                        </table>
+                      </td>
+                    </tr>
+                  )}
+                </>
+              ))}
+
+              {dnf.map(r => (
+                <tr key={r.profile_id} style={{ color: '#999' }}>
+                  <td className="rank">DNF</td>
+                  <td>{r.bib_number}</td>
+                  <td>{r.name}</td>
+                  <td>{r.club || '—'}</td>
+                  <td>{fmtTs(r.start_time)}</td>
+                  <td>—</td>
+                  <td>—</td>
+                  <td></td>
+                </tr>
+              ))}
+
+              {dns.map(r => (
+                <tr key={r.profile_id} style={{ color: '#bbb' }}>
+                  <td className="rank">DNS</td>
+                  <td>{r.bib_number}</td>
+                  <td>{r.name}</td>
+                  <td>{r.club || '—'}</td>
+                  <td>—</td>
+                  <td>—</td>
+                  <td>—</td>
+                  <td></td>
+                </tr>
+              ))}
+            </tbody>
+          </table>
+        </div>
+      )}
+    </>
+  )
+}

frontend/src/pages/ReviewPage.jsx

@@ -0,0 +1,159 @@
+import { useEffect, useState } from 'react'
+import { api } from '../api.js'
+
+function fmtTs(ts) {
+  if (!ts) return '—'
+  return new Date(ts).toLocaleString('no-NO', { timeZone: 'UTC' })
+}
+
+function ReviewCard({ passage, athletes, onResolved, onDeleted }) {
+  const [bib, setBib] = useState(passage.bib_number || '')
+  const [note, setNote] = useState('')
+  const [saving, setSaving] = useState(false)
+
+  const matchedAthlete = athletes.find(a => a.bib_number === bib)
+
+  const handleResolve = async () => {
+    setSaving(true)
+    try {
+      await api.resolvePassage(passage.passage_id, {
+        bib_number: bib || null,
+        profile_id: matchedAthlete?.profile_id || null,
+        review_note: note || null,
+      })
+      onResolved()
+    } finally {
+      setSaving(false)
+    }
+  }
+
+  const handleDelete = async () => {
+    if (!confirm('Slett passering?')) return
+    await api.deletePassage(passage.passage_id)
+    onDeleted()
+  }
+
+  // Bygg bildesti relativt til /api/images/
+  const imgSrc = passage.source_image
+    ? `/api/images/${passage.source_image.replace(/^\/processed\//, '')}`
+    : null
+
+  return (
+    <div className="card">
+      <div style={{ display: 'grid', gridTemplateColumns: '1fr 1fr', gap: '1.5rem' }}>
+        <div>
+          {imgSrc ? (
+            <img src={imgSrc} alt="Passeringsbilde" className="image-preview" />
+          ) : (
+            <div className="empty-state" style={{ border: '1px dashed #ddd', borderRadius: 6 }}>
+              Bilde ikke tilgjengelig
+            </div>
+          )}
+        </div>
+        <div>
+          <table style={{ marginBottom: '1rem' }}>
+            <tbody>
+              <tr><td><strong>Stasjon</strong></td><td>{passage.station}</td></tr>
+              <tr><td><strong>Tidspunkt</strong></td><td>{fmtTs(passage.timestamp_utc)}</td></tr>
+              <tr><td><strong>OCR-resultat</strong></td><td>{passage.bib_number || 'ingen'}</td></tr>
+              <tr><td><strong>Konfidens</strong></td><td>{passage.confidence != null ? (passage.confidence * 100).toFixed(0) + '%' : '—'}</td></tr>
+              <tr><td><strong>Merknad</strong></td><td>{passage.review_note || '—'}</td></tr>
+            </tbody>
+          </table>
+
+          <div className="form-group" style={{ marginBottom: '0.75rem' }}>
+            <label>Startnummer</label>
+            <input
+              type="text"
+              value={bib}
+              onChange={e => setBib(e.target.value)}
+              placeholder="Skriv inn riktig startnummer"
+            />
+            {matchedAthlete && (
+              <span style={{ fontSize: '0.8rem', color: '#2ecc71', marginTop: 2 }}>
+                {matchedAthlete.name} {matchedAthlete.club ? `(${matchedAthlete.club})` : ''}
+              </span>
+            )}
+            {bib && !matchedAthlete && (
+              <span style={{ fontSize: '0.8rem', color: '#e67e22', marginTop: 2 }}>
+                Startnummer ikke i startliste
+              </span>
+            )}
+          </div>
+
+          <div className="form-group" style={{ marginBottom: '1rem' }}>
+            <label>Notat (valgfritt)</label>
+            <input
+              type="text"
+              value={note}
+              onChange={e => setNote(e.target.value)}
+              placeholder="f.eks. startnummer skjult av arm"
+            />
+          </div>
+
+          <div style={{ display: 'flex', gap: '0.5rem' }}>
+            <button
+              className="btn-success"
+              onClick={handleResolve}
+              disabled={saving}
+            >
+              {saving ? 'Lagrer...' : 'Bekreft'}
+            </button>
+            <button className="btn-danger" onClick={handleDelete}>
+              Slett
+            </button>
+          </div>
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default function ReviewPage() {
+  const [queue, setQueue] = useState([])
+  const [athletes, setAthletes] = useState([])
+  const [loading, setLoading] = useState(true)
+
+  const load = async () => {
+    setLoading(true)
+    const [q, a] = await Promise.all([api.getReviewQueue(), api.getAthletes()])
+    setQueue(q)
+    setAthletes(a)
+    setLoading(false)
+  }
+
+  useEffect(() => { load() }, [])
+
+  const removeFromQueue = (passageId) => {
+    setQueue(q => q.filter(p => p.passage_id !== passageId))
+  }
+
+  return (
+    <>
+      <h1>Manuell gjennomgang</h1>
+
+      {loading ? (
+        <p>Laster...</p>
+      ) : queue.length === 0 ? (
+        <div className="card">
+          <p className="empty-state">Ingen passeringer venter på gjennomgang.</p>
+        </div>
+      ) : (
+        <>
+          <div className="alert alert-info" style={{ marginBottom: '1rem' }}>
+            {queue.length} passering(er) venter på manuell behandling.
+          </div>
+          {queue.map(p => (
+            <ReviewCard
+              key={p.passage_id}
+              passage={p}
+              athletes={athletes}
+              onResolved={() => removeFromQueue(p.passage_id)}
+              onDeleted={() => removeFromQueue(p.passage_id)}
+            />
+          ))}
+        </>
+      )}
+    </>
+  )
+}

frontend/src/pages/StartlistPage.jsx

@@ -0,0 +1,120 @@
+import { useEffect, useRef, useState } from 'react'
+import { api } from '../api.js'
+
+export default function StartlistPage() {
+  const [athletes, setAthletes] = useState([])
+  const [status, setStatus] = useState(null)
+  const [loading, setLoading] = useState(false)
+  const fileRef = useRef()
+
+  const load = async () => {
+    const data = await api.getAthletes()
+    setAthletes(data)
+  }
+
+  useEffect(() => { load() }, [])
+
+  const handleImport = async (e) => {
+    e.preventDefault()
+    const file = fileRef.current.files[0]
+    if (!file) return
+    setLoading(true)
+    setStatus(null)
+    try {
+      const res = await api.importCsv(file)
+      setStatus({
+        type: 'success',
+        msg: `Importert ${res.imported} utøver(e).` +
+          (res.errors.length ? ` Feil: ${res.errors.join(', ')}` : ''),
+      })
+      await load()
+    } catch (err) {
+      setStatus({ type: 'error', msg: err.message })
+    } finally {
+      setLoading(false)
+      fileRef.current.value = ''
+    }
+  }
+
+  const handleDelete = async (id) => {
+    if (!confirm('Slett utøver?')) return
+    await api.deleteAthlete(id)
+    await load()
+  }
+
+  const handleClear = async () => {
+    if (!confirm('Slett hele startlisten?')) return
+    await api.clearAthletes()
+    setAthletes([])
+    setStatus({ type: 'success', msg: 'Startliste slettet.' })
+  }
+
+  return (
+    <>
+      <h1>Startliste</h1>
+
+      <div className="card">
+        <h2>Last opp CSV</h2>
+        <p style={{ fontSize: '0.85rem', color: '#666', marginBottom: '0.75rem' }}>
+          Påkrevde kolonner: <code>bib_number</code> (eller <code>bib</code>), <code>name</code>.
+          Valgfritt: <code>club</code>.
+        </p>
+        <form onSubmit={handleImport} className="form-row">
+          <div className="form-group" style={{ flex: 1 }}>
+            <label>CSV-fil</label>
+            <input type="file" accept=".csv" ref={fileRef} required />
+          </div>
+          <button type="submit" className="btn-primary" disabled={loading}>
+            {loading ? 'Laster...' : 'Importer'}
+          </button>
+        </form>
+        {status && (
+          <div className={`alert alert-${status.type === 'error' ? 'error' : 'success'}`}>
+            {status.msg}
+          </div>
+        )}
+      </div>
+
+      <div className="card">
+        <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: '0.75rem' }}>
+          <h2>Utøvere ({athletes.length})</h2>
+          {athletes.length > 0 && (
+            <button className="btn-danger btn-sm" onClick={handleClear}>Slett alle</button>
+          )}
+        </div>
+
+        {athletes.length === 0 ? (
+          <p className="empty-state">Ingen utøvere registrert. Last opp en startliste.</p>
+        ) : (
+          <table>
+            <thead>
+              <tr>
+                <th>Startnr</th>
+                <th>Navn</th>
+                <th>Klubb</th>
+                <th></th>
+              </tr>
+            </thead>
+            <tbody>
+              {athletes.map((a) => (
+                <tr key={a.profile_id}>
+                  <td><strong>{a.bib_number}</strong></td>
+                  <td>{a.name}</td>
+                  <td>{a.club || '—'}</td>
+                  <td>
+                    <button
+                      className="btn-danger btn-sm"
+                      onClick={() => handleDelete(a.profile_id)}
+                    >
+                      Slett
+                    </button>
+                  </td>
+                </tr>
+              ))}
+            </tbody>
+          </table>
+        )}
+      </div>
+    </>
+  )
+}

frontend/vite.config.js

@@ -0,0 +1,12 @@
+import { defineConfig } from 'vite'
+import react from '@vitejs/plugin-react'
+
+// https://vite.dev/config/
+export default defineConfig({
+  plugins: [react()],
+  server: {
+    proxy: {
+      '/api': 'http://localhost:8000',
+    },
+  },
+})

spec.md

@@ -0,0 +1,270 @@
+# Bildedrevet tidtakingssystem — teknisk spesifikasjon
+
+## Oversikt
+
+Et tidtakingssystem for løp uten elektroniske brikker. Utøvere identifiseres ved hjelp av bilder tatt ved start, passeringspunkter og mål. Bildene inneholder nøyaktig tidsstempel og GPS-posisjon i EXIF-metadata, noe som gjør det mulig å rekonstruere hver utøvers rute og passeringstidspunkter langs løypa.
+
+Identifikasjon skjer ved kombinasjon av to metoder:
+1. OCR på startnummer
+2. Biometrisk persongjenkjenning (ansikt/kroppsform)
+
+De to metodene forsterker hverandre — et delvis skjult startnummer kan disambigueres av persongjenkjenning, og omvendt.
+
+---
+
+## Kamerastasjoner
+
+Kamera settes opp ved:
+- **Start** — alle utøvere fotograferes ved avgang
+- **Passeringspunkter** — vilkårlig antall stasjoner langs løypa (N ≥ 0)
+- **Mål** — alle utøvere fotograferes ved ankomst
+
+Hvert kamera må:
+- Produsere JPEG/PNG med korrekt EXIF-data (se nedenfor)
+- Ha burst-modus eller høy framerate for å håndtere bevegelsesuskarphet
+- Synkroniseres mot NTP (nøyaktig klokkeslett er kritisk)
+
+### EXIF-krav per bilde
+
+Alle bilder MÅ ha følgende EXIF-felter satt:
+
+| EXIF-felt | Innhold | Merknad |
+|---|---|---|
+| `DateTimeOriginal` | ISO 8601 UTC | Eks: `2024-06-15T10:23:45.123Z` |
+| `SubSecTimeOriginal` | Millisekunder | For sub-sekund presisjon |
+| `GPSLatitude` + `GPSLatitudeRef` | Desimalgrader | Stasjonens posisjon |
+| `GPSLongitude` + `GPSLongitudeRef` | Desimalgrader | Stasjonens posisjon |
+| `GPSAltitude` | Meter over havet | Valgfritt men anbefalt |
+| `CameraLabel` / `ImageDescription` | Stasjonsnavn | Eks: `"start"`, `"cp1"`, `"finish"` |
+
+EXIF-posisjonen representerer stasjonens faste posisjon (ikke utøverens bevegelse). For mobile stasjoner settes GPS per bilde fra kamerakontrollerens GPS-mottaker.
+
+---
+
+## Dataflyt og pipeline
+
+```
+Bilde (JPEG + EXIF)
+  │
+  ▼
+[1] Inntak og preprocessing
+    - Valider EXIF (tid + GPS påkrevd, avvis ellers)
+    - Kø-basert mottak fra alle stasjoner
+    - Generer utsnitt av utøver (bounding box)
+    - Kvalitetsfiltrering: skarphet, lysforhold, utøver synlig
+  │
+  ├──────────────────────────────────┐
+  ▼                                  ▼
+[2a] Startnummer-OCR               [2b] Persongjenkjenning
+    - Detekter nummerlapp              - Generer embedding fra
+    - Les sifre                          ansikt og/eller kropp
+    - Returner: sifre[], konfidens,    - Match mot profil-DB
+      andel synlig (0.0–1.0)          - Returner: profil_id,
+                                        konfidens, match-type
+  │                                  │
+  └──────────────┬───────────────────┘
+                 ▼
+[3] Konfidensbasert fusjonsmotor
+    - Kombiner OCR-resultat og personmatch
+    - Beslutningstre (se nedenfor)
+    - Output: identifikasjon + konfidensscore
+  │
+  ├── Høy konfidens ──► [4a] Logg passering direkte
+  └── Lav konfidens ──► [4b] Flagg for manuell gjennomgang
+                 │
+                 ▼
+[5] Resultatdatabase
+    - Utøver-ID, stasjon, tidsstempel (fra EXIF), GPS-pos
+    - Beregn split-tider og løyperute
+```
+
+---
+
+## Fusjonslogikk
+
+Prioriteringsrekkefølge ved konflikt:
+
+```
+1. Startnummer tydelig (konfidens > 0.90)
+   → Bruk startnummer, ignorer person-match hvis konflikt
+
+2. Startnummer delvis synlig (konfidens 0.50–0.90) + person-match
+   → Kombiner: filtrer kandidater fra startnummer, disambiguer med person
+   → Logg hvis entydig, flagg hvis flere kandidater gjenstår
+
+3. Startnummer uleselig (konfidens < 0.50) + person-match (konfidens > 0.70)
+   → Bruk person-match alene
+   → Logg med merknad "number_unreadable"
+
+4. Ingen av delene gir tilstrekkelig konfidens
+   → Flagg for manuell gjennomgang med bilde og metadata
+```
+
+Minste akseptable konfidens for automatisk logging: konfigurbart, anbefalt startverdi `0.75`.
+
+---
+
+## Profildatabase (utøver-DB)
+
+Utøverprofiler bygges opp suksessivt:
+
+- **Bootstrapping:** Startkameraet genererer en profil for hver unik person som passerer. Profil-ID tildeles automatisk.
+- **Kobling til startliste:** Valgfritt — kan mates inn med navn + startnummer + registreringsbilde. Kobles til profil ved første gjenkjenning.
+- **Uten startliste:** Systemet fungerer fullt ut; utøvere får anonyme ID-er. Startliste kan legges til i etterkant for å sette navn.
+
+### Skjema (forenklet)
+
+```json
+{
+  "profile_id": "uuid",
+  "bib_number": "42",
+  "name": "Ola Nordmann",
+  "embeddings": [ /* array av vektorer fra registreringsbilder */ ],
+  "registration_images": [ "path/to/img1.jpg" ],
+  "created_at": "2024-06-15T09:00:00Z"
+}
+```
+
+---
+
+## Passeringslogg
+
+En passering lagres når en utøver identifiseres ved en stasjon:
+
+```json
+{
+  "passage_id": "uuid",
+  "profile_id": "uuid",
+  "bib_number": "42",
+  "station": "cp1",
+  "timestamp_utc": "2024-06-15T10:23:45.123Z",
+  "gps_lat": 61.1234,
+  "gps_lon": 10.5678,
+  "gps_alt": 910,
+  "confidence": 0.92,
+  "id_method": "bib_ocr+person",
+  "source_image": "path/to/image.jpg",
+  "needs_review": false
+}
+```
+
+Fra passeringsloggen beregnes:
+- Split-tider mellom stasjoner
+- Totaltid start→mål
+- Løyperute (GPS-spor av stasjonspasseringer)
+- Estimert posisjon i løypa på ethvert tidspunkt (interpolasjon)
+
+---
+
+## Komponenter som skal implementeres
+
+### Backend (Python anbefalt)
+
+| Modul | Ansvar |
+|---|---|
+| `ingest.py` | Ta imot bilder, valider EXIF, kø til pipeline |
+| `exif_parser.py` | Parse og normaliser EXIF-metadata |
+| `ocr.py` | Startnummer-deteksjon og OCR |
+| `recognition.py` | Persongjenkjenning, embedding, match mot profil-DB |
+| `fusion.py` | Kombiner OCR + person, beslutningslogikk |
+| `profile_db.py` | CRUD for utøverprofiler og embeddings |
+| `passage_log.py` | Skriv og query passeringslogg |
+| `results.py` | Beregn split-tider, totalresultat, løyperute |
+| `review_queue.py` | Håndter manuelle gjennomganger |
+
+### Foreslåtte biblioteker
+
+- **OCR:** `easyocr` eller `paddleocr` (god på korte numre i varierende lysforhold)
+- **Persongjenkjenning:** `deepface` eller `insightface` (lokalt, ingen sky-avhengighet)
+- **EXIF-parsing:** `piexif` eller `exifread`
+- **Database:** SQLite for enkel lokal drift, PostgreSQL for produksjon
+- **Bildeprosessering:** `opencv-python`, `Pillow`
+- **Kø:** `redis` + `rq` for asynkron pipeline, eller enkel filkø for MVP
+
+### Frontend (valgfritt, React anbefalt)
+
+- Live-visning av passeringer
+- Leaflet-kart med GPS-posisjoner til stasjoner og utøveres rute
+- Resultatliste med split-tider
+- Manuell gjennomgangskø med bildevisning
+
+---
+
+## Kanttilfeller og håndtering
+
+| Situasjon | Håndtering |
+|---|---|
+| Utøvere overlapper i bildet | Generer separate bounding boxes per utøver |
+| Startnummeret er delvis bak arm/klesplagg | OCR returnerer synlige sifre + `partial: true` |
+| Samme utøver fanges i burst-sekvens | Deduplisering: behold beste bilde per utøver per stasjon (±2 sek vindu) |
+| Refleks/solblending gjør bildet ubrukelig | Kvalitetsfilter forkaster bildet; neste i burst brukes |
+| EXIF mangler tid eller GPS | Bildet avvises med feillogg; manuell stasjon-tid kan angis som fallback |
+| Ukjent person, uleselig nummer | Flagges med bilde til manuell gjennomgang |
+| To utøvere med like startnummer (feil) | Flagges som konflikt; begge profiler merkes |
+
+---
+
+## Personvern
+
+- Biometrisk gjenkjenning krever samtykke (GDPR artikkel 9 — særlig kategori)
+- Anbefalt løsning: opt-in ved påmelding, registreringsbilde lastes opp i forkant
+- Embeddings lagres, ikke råbilder, etter at passering er bekreftet (konfigurerbart)
+- Råbilder bør slettes etter løpet med mindre deltaker har samtykket til lagring
+- Systemet bør kunne kjøres i "bib-only"-modus uten persongjenkjenning for arrangement som ikke innhenter biometrisk samtykke
+
+---
+
+## Infrastruktur
+
+### Container-drift
+
+Hele systemet kjøres i Docker (docker-compose):
+
+- **backend** — Python/FastAPI, pipeline og API
+- **frontend** — React admin-grensesnitt (Nginx)
+- **db** — SQLite via volum (PostgreSQL i produksjon)
+
+Volumes:
+- `./depot` — inntakskatalog for nye bilder (kamera-drop)
+- `./processed` — bearbeidede bilder med unike filnavn
+- `./data` — SQLite-database
+
+### Bildehåndtering
+
+1. Kamera/bruker legger bilder i `depot/`
+2. `ingest.py` oppdager nye filer (inotify / polling)
+3. EXIF valideres; ved godkjenning:
+   - Metadata lagres i DB
+   - Filen flyttes til `processed/<år>/<måned>/<uuid>_<originalfilnavn>`
+   - Depot-filen slettes
+4. Ved ugyldig EXIF: filen flyttes til `depot/rejected/` med feillogg
+
+---
+
+## Admin-webgrensesnitt (React)
+
+Tilgjengelig via nettleser, kommuniserer med backend via REST API.
+
+| Skjerm | Funksjonalitet |
+|---|---|
+| Startliste | Last opp CSV, vis/rediger utøverliste |
+| Live passeringer | Strøm av nylige passeringer fra alle stasjoner |
+| Manuell gjennomgang | Vis bilder med lav konfidens, bekreft/korriger ID |
+| Resultater | Split-tider og totalresultat per utøver |
+| Stasjoner | Oversikt over kamerastasjoner og siste aktivitet |
+
+---
+
+## MVP-avgrensning (fase 1)
+
+For å komme raskt i gang, begrens til:
+
+1. EXIF-parsing og validering
+2. Startnummer-OCR (ingen persongjenkjenning ennå)
+3. Manuell startliste som CSV (bib_number → navn)
+4. Passeringslogg til SQLite
+5. REST API (FastAPI) for frontend
+6. React admin-grensesnitt: startliste-import og manuell gjennomgang
+7. Docker-oppsett med depot/processed-volumer
+
+Persongjenkjenning og live Leaflet-kart legges til i fase 2.