"""
Worker ARQ — traitement asynchrone des images via Redis.

Lance avec : python worker.py

Fonctionnalités :
  - File persistante Redis (survit aux redémarrages)
  - Retry automatique avec backoff exponentiel
  - Queues prioritaires (premium / standard)
  - Dead-letter : marquage error après max_tries
"""
import logging
from datetime import datetime, timezone

from arq import cron, func
from arq.connections import RedisSettings

from app.config import settings
from app.database import AsyncSessionLocal
from app.models.image import Image, ProcessingStatus
from app.services.pipeline import process_image_pipeline
from sqlalchemy import select

logger = logging.getLogger(__name__)

# Backoff exponentiel : délais entre tentatives (en secondes)
RETRY_DELAYS = [1, 4, 16]


async def process_image_task(ctx: dict, image_id: int, client_id: str) -> str:
    """
    Tâche ARQ : traite une image via le pipeline EXIF → OCR → AI.

    Args:
        ctx: Contexte ARQ (contient job_try, redis, etc.)
        image_id: ID de l'image à traiter
        client_id: ID du client propriétaire
    """
    job_try = ctx.get("job_try", 1)
    redis = ctx.get("redis")

    logger.info(
        "worker.job.started",
        extra={"image_id": image_id, "client_id": client_id, "job_try": job_try},
    )

    async with AsyncSessionLocal() as db:
        try:
            await process_image_pipeline(image_id, db, redis=redis)
            logger.info(
                "worker.job.completed",
                extra={"image_id": image_id, "client_id": client_id},
            )
            return f"OK image_id={image_id}"

        except Exception as e:
            max_tries = settings.WORKER_MAX_TRIES
            logger.error(
                "worker.job.failed",
                extra={
                    "image_id": image_id,
                    "client_id": client_id,
                    "job_try": job_try,
                    "max_tries": max_tries,
                    "error": str(e),
                },
                exc_info=True,
            )

            if job_try >= max_tries:
                # Dead-letter : marquer l'image en erreur définitive
                await _mark_image_error(db, image_id, str(e), job_try)
                logger.error(
                    "worker.job.dead_letter",
                    extra={
                        "image_id": image_id,
                        "client_id": client_id,
                        "total_tries": job_try,
                    },
                )
                return f"DEAD_LETTER image_id={image_id} after {job_try} tries"

            # Retry avec backoff
            delay_idx = min(job_try - 1, len(RETRY_DELAYS) - 1)
            retry_delay = RETRY_DELAYS[delay_idx]
            logger.warning(
                "worker.job.retry_scheduled",
                extra={
                    "image_id": image_id,
                    "retry_in_seconds": retry_delay,
                    "next_try": job_try + 1,
                },
            )
            raise  # ARQ replanifie automatiquement


async def _mark_image_error(
    db, image_id: int, error_msg: str, total_tries: int
) -> None:
    """Marque une image en erreur définitive après épuisement des retries."""
    result = await db.execute(select(Image).where(Image.id == image_id))
    image = result.scalar_one_or_none()
    if image:
        image.processing_status = ProcessingStatus.ERROR
        image.processing_error = f"Échec après {total_tries} tentatives : {error_msg}"
        image.processing_done_at = datetime.now(timezone.utc)
        await db.commit()


async def on_startup(ctx: dict) -> None:
    """Hook ARQ : appelé au démarrage du worker."""
    logger.info("worker.startup", extra={"max_jobs": settings.WORKER_MAX_JOBS})


async def on_shutdown(ctx: dict) -> None:
    """Hook ARQ : appelé à l'arrêt du worker."""
    logger.info("worker.shutdown")


async def on_job_start(ctx: dict) -> None:
    """Hook ARQ : appelé au début de chaque job."""
    pass  # Le logging est fait dans process_image_task


async def on_job_end(ctx: dict) -> None:
    """Hook ARQ : appelé à la fin de chaque job."""
    pass  # Le logging est fait dans process_image_task


def _parse_redis_settings() -> RedisSettings:
    """Parse REDIS_URL en RedisSettings ARQ."""
    url = settings.REDIS_URL
    # redis://[:password@]host[:port][/db]
    if url.startswith("redis://"):
        url = url[8:]
    elif url.startswith("rediss://"):
        url = url[9:]

    password = None
    host = "localhost"
    port = 6379
    database = 0

    # Parse password
    if "@" in url:
        auth_part, url = url.rsplit("@", 1)
        if ":" in auth_part:
            password = auth_part.split(":", 1)[1]
        else:
            password = auth_part

    # Parse host:port/db
    if "/" in url:
        host_port, db_str = url.split("/", 1)
        if db_str:
            database = int(db_str)
    else:
        host_port = url

    if ":" in host_port:
        host, port_str = host_port.rsplit(":", 1)
        if port_str:
            port = int(port_str)
    else:
        host = host_port

    return RedisSettings(
        host=host or "localhost",
        port=port,
        password=password,
        database=database,
    )


class WorkerSettings:
    """Configuration du worker ARQ."""

    functions = [func(process_image_task, name="process_image_task")]
    redis_settings = _parse_redis_settings()
    max_jobs = settings.WORKER_MAX_JOBS
    job_timeout = settings.WORKER_JOB_TIMEOUT
    retry_jobs = True
    max_tries = settings.WORKER_MAX_TRIES
    queue_name = "standard"  # Queue par défaut
    on_startup = on_startup
    on_shutdown = on_shutdown
    on_job_start = on_job_start
    on_job_end = on_job_end

    # Le worker écoute les deux queues
    queues = ["standard", "premium"]