import os
import logging
from celery import Celery
from celery.signals import task_postrun, task_prerun

from core.database import reset_rls_context_tokens, rls_company_var, rls_tenant_var
from core.config import settings

logger = logging.getLogger(__name__)

valkey_url = settings.VALKEY_URL
print(f"DEBUG: Celery Broker URL: {valkey_url}")
logger.info(
    "Initializing Celery app app_version=%s environment=%s broker=%s",
    settings.APP_VERSION,
    settings.ENVIRONMENT,
    valkey_url,
)

# Configurar broker y backend explícitamente en el constructor
celery_app = Celery(
    "app_tasks",
    broker=valkey_url,
    backend=valkey_url,
)
celery_app.set_default()


_RLS_TOKENS_ATTR = "_rls_context_tokens"


def _coerce_int(value) -> int | None:
    if value is None or value == "":
        return None
    try:
        return int(value)
    except (TypeError, ValueError):
        return None


@task_prerun.connect
def _set_rls_context_from_task(task_id=None, task=None, args=None, kwargs=None, **_):
    """Fija las ContextVars de RLS para la ejecución de la tarea.

    Las rutas propagan ``tenant_id`` / ``company_id`` vía Celery headers en
    :func:`track_and_dispatch`. Aquí los materializamos en ContextVars para
    que cualquier sesión que se abra durante la tarea (incluidos los helpers
    ``scoped_core_db`` y llamadas directas a ``CoreSessionLocal()``) aplique
    ``SET LOCAL`` automáticamente.
    """
    headers = {}
    request = getattr(task, "request", None) if task is not None else None
    if request is not None:
        headers = getattr(request, "headers", None) or {}

    tenant_id = _coerce_int(headers.get("rls_tenant_id"))
    company_id = _coerce_int(headers.get("rls_company_id"))
    if tenant_id is None:
        logger.warning(
            "Celery task_prerun missing rls_tenant_id task=%s task_id=%s headers=%s",
            getattr(task, "name", "<unknown>"),
            task_id,
            headers,
        )
    logger.info(
        "Celery task_prerun RLS context task=%s task_id=%s tenant_id=%s company_id=%s",
        getattr(task, "name", "<unknown>"),
        task_id,
        tenant_id,
        company_id,
    )

    token_t = rls_tenant_var.set(tenant_id)
    token_c = rls_company_var.set(company_id)
    setattr(task, _RLS_TOKENS_ATTR, (token_t, token_c))


@task_postrun.connect
def _reset_rls_context_from_task(task_id=None, task=None, **_):
    """Restaura las ContextVars al terminar la tarea (evita fuga entre tareas
    cuando un worker reutiliza el mismo hilo)."""
    tokens = getattr(task, _RLS_TOKENS_ATTR, None) if task is not None else None
    if tokens is None:
        return
    token_t, token_c = tokens
    logger.info(
        "Celery task_postrun clearing RLS context task=%s task_id=%s tenant_id=%s company_id=%s",
        getattr(task, "name", "<unknown>"),
        task_id,
        rls_tenant_var.get(),
        rls_company_var.get(),
    )
    reset_rls_context_tokens(token_t, token_c)
    delattr(task, _RLS_TOKENS_ATTR)

celery_app.conf.update(
    include=[
        "api.v1.modules.core.help_center.tasks",
        # Agrega aquí las tareas de tu proyecto:
        # "api.v1.modules.example.tasks",
    ]
)

# Configuraciones adicionales
celery_app.conf.update(
    task_track_started=True,
    task_serializer="json",
    accept_content=["json"],
    result_serializer="json",
    timezone="America/Mexico_City",
    enable_utc=True,
)

celery_app.conf.beat_schedule = {
    "sync-from-hub-every-minute": {
        "task": "sync_from_hub_task",
        "schedule": 60.0,  # Run every 60 seconds
    },
    "cleanup-orphan-layout-imports-hourly": {
        "task": "cleanup_orphan_layout_imports",
        "schedule": 3600.0,
    },
}

if __name__ == "__main__":
    celery_app.start()