"""
Skriv og query passeringslogg i SQLite.
"""

import uuid
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Optional

import aiosqlite

# Tidsvindu for deduplisering: bilder av samme utøver ved samme stasjon
DEDUP_WINDOW_SECONDS = 2


async def _find_duplicate(
    db: aiosqlite.Connection,
    bib_number: str,
    station: str,
    timestamp_utc: datetime,
) -> Optional[dict]:
    """
    Finn eksisterende passering med samme bib og stasjon innen DEDUP_WINDOW_SECONDS.
    Returnerer raden, eller None.
    """
    window_start = (timestamp_utc - timedelta(seconds=DEDUP_WINDOW_SECONDS)).isoformat()
    window_end   = (timestamp_utc + timedelta(seconds=DEDUP_WINDOW_SECONDS)).isoformat()

    async with db.execute(
        """
        SELECT passage_id, proximity_score, source_image
        FROM passages
        WHERE bib_number = ? AND station = ?
          AND timestamp_utc BETWEEN ? AND ?
        ORDER BY proximity_score DESC
        LIMIT 1
        """,
        (bib_number, station, window_start, window_end),
    ) as cur:
        row = await cur.fetchone()
    return dict(row) if row else None


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,
    proximity_score: float = 0.0,
    id_method: str,
    source_image: str,
    needs_review: bool = False,
    review_note: Optional[str] = None,
) -> str:
    """
    Logg én passering med deduplisering.

    Hvis et bilde av samme utøver ved samme stasjon allerede er logget innen
    DEDUP_WINDOW_SECONDS, beholder vi bildet nærmest kamera (høyest proximity_score)
    ettersom det gir det mest nøyaktige tidsstempelet.

    Returnerer passage_id (enten ny eller eksisterende).
    """
    if bib_number:
        duplicate = await _find_duplicate(db, bib_number, station, timestamp_utc)
        if duplicate:
            if proximity_score > duplicate["proximity_score"]:
                # Nytt bilde er nærmere kamera — oppdater tidsstempel og bildesti
                old_image = duplicate["source_image"]
                await db.execute(
                    """
                    UPDATE passages
                    SET timestamp_utc = ?, proximity_score = ?,
                        source_image = ?, confidence = ?, id_method = ?
                    WHERE passage_id = ?
                    """,
                    (
                        timestamp_utc.isoformat(),
                        proximity_score,
                        source_image,
                        confidence,
                        id_method,
                        duplicate["passage_id"],
                    ),
                )
                await db.commit()
                # Slett det gamle, dårligere bildet
                _delete_image_file(old_image)
                return duplicate["passage_id"]
            else:
                # Eksisterende bilde er nærmere kamera — forkast nytt bilde
                _delete_image_file(source_image)
                return duplicate["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, proximity_score, 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,
            proximity_score,
            id_method,
            source_image,
            int(needs_review),
            review_note,
        ),
    )
    await db.commit()
    return passage_id


def _delete_image_file(path: str) -> None:
    """Slett bildefil stille — logg advarsel ved feil."""
    import logging
    try:
        Path(path).unlink(missing_ok=True)
    except Exception as e:
        logging.getLogger(__name__).warning("Kunne ikke slette duplikatbilde %s: %s", path, e)


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