social-media-automation/worker/tasks/generate_content.py

"""
Tareas de generación de contenido.

Usa el nuevo Content Generation Engine v2 con:
- Quality scoring
- Anti-repetición via Context Engine
- Almacenamiento en Content Memory
"""

import asyncio
import logging
from datetime import datetime, timedelta
from typing import Optional, Dict, Any

from worker.celery_app import celery_app
from app.core.database import SessionLocal
from app.models.post import Post
from app.models.content_calendar import ContentCalendar
from app.models.tip_template import TipTemplate
from app.models.product import Product
from app.models.service import Service
from app.services.content_generator import content_generator

logger = logging.getLogger(__name__)


def run_async(coro):
    """Helper para ejecutar coroutines en Celery."""
    loop = asyncio.get_event_loop()
    return loop.run_until_complete(coro)


def _save_to_memory(
    post_id: int,
    content: str,
    content_type: str,
    platform: str,
    quality_score: Optional[int] = None,
    quality_breakdown: Optional[Dict] = None,
    template_used: Optional[str] = None
):
    """
    Encolar guardado en memoria como tarea async.
    Evita bloquear la generación principal.
    """
    from worker.tasks.content_memory import analyze_and_save_content
    analyze_and_save_content.delay(
        post_id=post_id,
        content=content,
        content_type=content_type,
        platform=platform,
        quality_score=quality_score,
        quality_breakdown=quality_breakdown,
        template_used=template_used
    )


@celery_app.task(name="worker.tasks.generate_content.generate_scheduled_content")
def generate_scheduled_content():
    """
    Generar contenido según el calendario.
    Se ejecuta cada hora.
    """
    db = SessionLocal()

    try:
        now = datetime.now()
        current_day = now.weekday()
        current_hour = now.hour

        # Obtener entradas del calendario para esta hora
        entries = db.query(ContentCalendar).filter(
            ContentCalendar.day_of_week == current_day,
            ContentCalendar.is_active == True
        ).all()

        generated = 0
        for entry in entries:
            # Verificar si es la hora correcta
            if entry.time.hour != current_hour:
                continue

            # Generar contenido según el tipo
            if entry.content_type == "tip_tech":
                generate_tip_post.delay(
                    platforms=entry.platforms,
                    category_filter=entry.category_filter,
                    requires_approval=entry.requires_approval
                )
                generated += 1

            elif entry.content_type == "producto":
                generate_product_post.delay(
                    platforms=entry.platforms,
                    requires_approval=entry.requires_approval
                )
                generated += 1

            elif entry.content_type == "servicio":
                generate_service_post.delay(
                    platforms=entry.platforms,
                    requires_approval=entry.requires_approval
                )
                generated += 1

        return f"Procesadas {len(entries)} entradas, {generated} generaciones iniciadas"

    finally:
        db.close()


@celery_app.task(name="worker.tasks.generate_content.generate_tip_post")
def generate_tip_post(
    platforms: list,
    category_filter: str = None,
    requires_approval: bool = False,
    use_quality_check: bool = True
):
    """
    Generar un post de tip tech con quality scoring.

    Args:
        platforms: Lista de plataformas destino
        category_filter: Categoría específica (opcional)
        requires_approval: Si requiere aprobación manual
        use_quality_check: Si usar validación de calidad
    """
    db = SessionLocal()

    try:
        # Seleccionar un tip que no se haya usado recientemente
        query = db.query(TipTemplate).filter(
            TipTemplate.is_active == True
        )

        if category_filter:
            query = query.filter(TipTemplate.category == category_filter)

        # Ordenar por uso (menos usado primero)
        tip = query.order_by(
            TipTemplate.used_count.asc(),
            TipTemplate.last_used.asc().nullsfirst()
        ).first()

        if not tip:
            return {"status": "skipped", "reason": "no_tips_available"}

        # Generar contenido para cada plataforma
        content_by_platform = {}
        quality_info = {}

        for platform in platforms:
            if use_quality_check:
                # Usar generación con validación de calidad
                result = run_async(
                    content_generator.generate_with_quality_check(
                        template_name="tip_tech",
                        variables={
                            "category": tip.category,
                            "difficulty_level": "principiante",
                            "target_audience": "profesionales tech"
                        },
                        platform=platform,
                        db=db,
                        max_attempts=2
                    )
                )
                content_by_platform[platform] = result["content"]
                quality_info[platform] = {
                    "score": result.get("quality_score"),
                    "breakdown": result.get("score_breakdown"),
                    "attempts": result.get("attempts", 1)
                }
            else:
                # Generación simple (fallback)
                content = run_async(
                    content_generator.generate_tip_tech(
                        category=tip.category,
                        platform=platform,
                        template=tip.template,
                        db=db
                    )
                )
                content_by_platform[platform] = content

        # Obtener mejor score entre plataformas
        best_score = None
        best_breakdown = None
        total_attempts = 1

        if quality_info:
            scores = [q.get("score") for q in quality_info.values() if q.get("score")]
            if scores:
                best_score = max(scores)
            breakdowns = [q.get("breakdown") for q in quality_info.values() if q.get("breakdown")]
            if breakdowns:
                best_breakdown = breakdowns[0]
            attempts = [q.get("attempts", 1) for q in quality_info.values()]
            if attempts:
                total_attempts = max(attempts)

        # Crear post
        main_platform = platforms[0]
        post = Post(
            content=content_by_platform.get(main_platform, ""),
            content_type="tip_tech",
            platforms=platforms,
            content_x=content_by_platform.get("x"),
            content_threads=content_by_platform.get("threads"),
            content_instagram=content_by_platform.get("instagram"),
            content_facebook=content_by_platform.get("facebook"),
            status="pending_approval" if requires_approval else "scheduled",
            scheduled_at=datetime.utcnow() + timedelta(minutes=5),
            approval_required=requires_approval,
            tip_template_id=tip.id,
            quality_score=best_score,
            score_breakdown=best_breakdown,
            generation_attempts=total_attempts
        )

        db.add(post)

        # Actualizar uso del tip
        tip.used_count += 1
        tip.last_used = datetime.utcnow()

        db.commit()

        # Guardar en memoria (async)
        _save_to_memory(
            post_id=post.id,
            content=post.content,
            content_type="tip_tech",
            platform=main_platform,
            quality_score=best_score,
            quality_breakdown=best_breakdown,
            template_used="tip_tech"
        )

        logger.info(
            f"Tip generado: post_id={post.id}, score={best_score}, "
            f"attempts={total_attempts}, category={tip.category}"
        )

        return {
            "status": "success",
            "post_id": post.id,
            "quality_score": best_score,
            "attempts": total_attempts
        }

    except Exception as e:
        logger.error(f"Error generando tip: {e}")
        db.rollback()
        raise

    finally:
        db.close()


@celery_app.task(name="worker.tasks.generate_content.generate_product_post")
def generate_product_post(
    platforms: list,
    product_id: int = None,
    requires_approval: bool = True,
    use_quality_check: bool = True
):
    """
    Generar un post de producto con quality scoring.

    Args:
        platforms: Lista de plataformas destino
        product_id: ID del producto específico (opcional)
        requires_approval: Si requiere aprobación manual
        use_quality_check: Si usar validación de calidad
    """
    db = SessionLocal()

    try:
        # Seleccionar producto
        if product_id:
            product = db.query(Product).filter(Product.id == product_id).first()
        else:
            # Seleccionar uno aleatorio que no se haya publicado recientemente
            product = db.query(Product).filter(
                Product.is_available == True
            ).order_by(
                Product.last_posted_at.asc().nullsfirst()
            ).first()

        if not product:
            return {"status": "skipped", "reason": "no_products_available"}

        # Generar contenido
        content_by_platform = {}
        quality_info = {}

        for platform in platforms:
            if use_quality_check:
                result = run_async(
                    content_generator.generate_with_quality_check(
                        template_name="product_post",
                        variables={
                            "product_name": product.name,
                            "product_description": product.description or "",
                            "price": product.price,
                            "category": product.category,
                            "specs": product.specs or {},
                            "highlights": product.highlights or []
                        },
                        platform=platform,
                        db=db,
                        max_attempts=2
                    )
                )
                content_by_platform[platform] = result["content"]
                quality_info[platform] = {
                    "score": result.get("quality_score"),
                    "breakdown": result.get("score_breakdown"),
                    "attempts": result.get("attempts", 1)
                }
            else:
                content = run_async(
                    content_generator.generate_product_post(
                        product=product.to_dict(),
                        platform=platform,
                        db=db
                    )
                )
                content_by_platform[platform] = content

        # Obtener mejor score
        best_score = None
        best_breakdown = None
        total_attempts = 1

        if quality_info:
            scores = [q.get("score") for q in quality_info.values() if q.get("score")]
            if scores:
                best_score = max(scores)
            breakdowns = [q.get("breakdown") for q in quality_info.values() if q.get("breakdown")]
            if breakdowns:
                best_breakdown = breakdowns[0]
            attempts = [q.get("attempts", 1) for q in quality_info.values()]
            if attempts:
                total_attempts = max(attempts)

        # Crear post
        main_platform = platforms[0]
        post = Post(
            content=content_by_platform.get(main_platform, ""),
            content_type="producto",
            platforms=platforms,
            content_x=content_by_platform.get("x"),
            content_threads=content_by_platform.get("threads"),
            content_instagram=content_by_platform.get("instagram"),
            content_facebook=content_by_platform.get("facebook"),
            status="pending_approval" if requires_approval else "scheduled",
            scheduled_at=datetime.utcnow() + timedelta(minutes=5),
            approval_required=requires_approval,
            product_id=product.id,
            image_url=product.main_image,
            quality_score=best_score,
            score_breakdown=best_breakdown,
            generation_attempts=total_attempts
        )

        db.add(post)

        # Actualizar última publicación del producto
        product.last_posted_at = datetime.utcnow()

        db.commit()

        # Guardar en memoria
        _save_to_memory(
            post_id=post.id,
            content=post.content,
            content_type="producto",
            platform=main_platform,
            quality_score=best_score,
            quality_breakdown=best_breakdown,
            template_used="product_post"
        )

        logger.info(
            f"Producto generado: post_id={post.id}, product={product.name}, "
            f"score={best_score}"
        )

        return {
            "status": "success",
            "post_id": post.id,
            "product_id": product.id,
            "quality_score": best_score
        }

    except Exception as e:
        logger.error(f"Error generando producto: {e}")
        db.rollback()
        raise

    finally:
        db.close()


@celery_app.task(name="worker.tasks.generate_content.generate_service_post")
def generate_service_post(
    platforms: list,
    service_id: int = None,
    requires_approval: bool = True,
    use_quality_check: bool = True
):
    """
    Generar un post de servicio con quality scoring.

    Args:
        platforms: Lista de plataformas destino
        service_id: ID del servicio específico (opcional)
        requires_approval: Si requiere aprobación manual
        use_quality_check: Si usar validación de calidad
    """
    db = SessionLocal()

    try:
        # Seleccionar servicio
        if service_id:
            service = db.query(Service).filter(Service.id == service_id).first()
        else:
            service = db.query(Service).filter(
                Service.is_active == True
            ).order_by(
                Service.last_posted_at.asc().nullsfirst()
            ).first()

        if not service:
            return {"status": "skipped", "reason": "no_services_available"}

        # Generar contenido
        content_by_platform = {}
        quality_info = {}

        for platform in platforms:
            if use_quality_check:
                result = run_async(
                    content_generator.generate_with_quality_check(
                        template_name="service_post",
                        variables={
                            "service_name": service.name,
                            "service_description": service.description or "",
                            "category": service.category,
                            "target_sectors": service.target_sectors or [],
                            "benefits": service.benefits or [],
                            "call_to_action": service.call_to_action or "Contáctanos"
                        },
                        platform=platform,
                        db=db,
                        max_attempts=2
                    )
                )
                content_by_platform[platform] = result["content"]
                quality_info[platform] = {
                    "score": result.get("quality_score"),
                    "breakdown": result.get("score_breakdown"),
                    "attempts": result.get("attempts", 1)
                }
            else:
                content = run_async(
                    content_generator.generate_service_post(
                        service=service.to_dict(),
                        platform=platform,
                        db=db
                    )
                )
                content_by_platform[platform] = content

        # Obtener mejor score
        best_score = None
        best_breakdown = None
        total_attempts = 1

        if quality_info:
            scores = [q.get("score") for q in quality_info.values() if q.get("score")]
            if scores:
                best_score = max(scores)
            breakdowns = [q.get("breakdown") for q in quality_info.values() if q.get("breakdown")]
            if breakdowns:
                best_breakdown = breakdowns[0]
            attempts = [q.get("attempts", 1) for q in quality_info.values()]
            if attempts:
                total_attempts = max(attempts)

        # Crear post
        main_platform = platforms[0]
        post = Post(
            content=content_by_platform.get(main_platform, ""),
            content_type="servicio",
            platforms=platforms,
            content_x=content_by_platform.get("x"),
            content_threads=content_by_platform.get("threads"),
            content_instagram=content_by_platform.get("instagram"),
            content_facebook=content_by_platform.get("facebook"),
            status="pending_approval" if requires_approval else "scheduled",
            scheduled_at=datetime.utcnow() + timedelta(minutes=5),
            approval_required=requires_approval,
            service_id=service.id,
            image_url=service.main_image,
            quality_score=best_score,
            score_breakdown=best_breakdown,
            generation_attempts=total_attempts
        )

        db.add(post)

        # Actualizar última publicación del servicio
        service.last_posted_at = datetime.utcnow()

        db.commit()

        # Guardar en memoria
        _save_to_memory(
            post_id=post.id,
            content=post.content,
            content_type="servicio",
            platform=main_platform,
            quality_score=best_score,
            quality_breakdown=best_breakdown,
            template_used="service_post"
        )

        logger.info(
            f"Servicio generado: post_id={post.id}, service={service.name}, "
            f"score={best_score}"
        )

        return {
            "status": "success",
            "post_id": post.id,
            "service_id": service.id,
            "quality_score": best_score
        }

    except Exception as e:
        logger.error(f"Error generando servicio: {e}")
        db.rollback()
        raise

    finally:
        db.close()


@celery_app.task(name="worker.tasks.generate_content.generate_thread")
def generate_thread(
    topic: str,
    num_posts: int = 5,
    requires_approval: bool = True
):
    """
    Generar un hilo educativo.

    Args:
        topic: Tema del hilo
        num_posts: Número de posts
        requires_approval: Si requiere aprobación
    """
    db = SessionLocal()

    try:
        # Generar hilo
        posts = run_async(
            content_generator.generate_thread(
                topic=topic,
                num_posts=num_posts,
                db=db
            )
        )

        if not posts:
            return {"status": "error", "reason": "no_posts_generated"}

        # Crear posts individuales (vinculados)
        created_posts = []
        for i, content in enumerate(posts):
            post = Post(
                content=content,
                content_type="hilo_educativo",
                platforms=["x"],  # Hilos principalmente para X
                content_x=content,
                status="pending_approval" if requires_approval else "scheduled",
                scheduled_at=datetime.utcnow() + timedelta(minutes=5 + i),  # Escalonado
                approval_required=requires_approval,
            )
            db.add(post)
            created_posts.append(post)

        db.commit()

        # Guardar primer post en memoria (representa el hilo)
        if created_posts:
            _save_to_memory(
                post_id=created_posts[0].id,
                content="\n\n".join(posts),
                content_type="hilo_educativo",
                platform="x",
                template_used="thread"
            )

        logger.info(f"Hilo generado: {len(created_posts)} posts sobre '{topic}'")

        return {
            "status": "success",
            "post_ids": [p.id for p in created_posts],
            "topic": topic
        }

    except Exception as e:
        logger.error(f"Error generando hilo: {e}")
        db.rollback()
        raise

    finally:
        db.close()