Consultoría AS
049d2133f9
- Estructura completa del proyecto con FastAPI - Modelos de base de datos (productos, servicios, posts, calendario, interacciones) - Publishers para X, Threads, Instagram, Facebook - Generador de contenido con DeepSeek API - Worker de Celery con tareas programadas - Dashboard básico con templates HTML - Docker Compose para despliegue - Documentación completa Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
124 lines
4.4 KiB
Python
124 lines
4.4 KiB
Python
"""
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Tareas para obtener interacciones de redes sociales.
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"""
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import asyncio
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from datetime import datetime
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from worker.celery_app import celery_app
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from app.core.database import SessionLocal
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from app.models.interaction import Interaction
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from app.models.post import Post
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from app.publishers import get_publisher
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def run_async(coro):
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"""Helper para ejecutar coroutines en Celery."""
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loop = asyncio.get_event_loop()
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return loop.run_until_complete(coro)
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@celery_app.task(name="worker.tasks.fetch_interactions.fetch_all_interactions")
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def fetch_all_interactions():
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"""
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Obtener interacciones de todas las plataformas.
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Se ejecuta cada 5 minutos.
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"""
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platforms = ["x", "threads", "instagram", "facebook"]
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results = []
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for platform in platforms:
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try:
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result = fetch_platform_interactions.delay(platform)
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results.append(f"{platform}: tarea enviada")
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except Exception as e:
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results.append(f"{platform}: error - {e}")
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return results
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@celery_app.task(name="worker.tasks.fetch_interactions.fetch_platform_interactions")
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def fetch_platform_interactions(platform: str):
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"""Obtener interacciones de una plataforma específica."""
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db = SessionLocal()
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try:
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publisher = get_publisher(platform)
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# Obtener menciones
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mentions = run_async(publisher.get_mentions())
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new_mentions = 0
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for mention in mentions:
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external_id = mention.get("id")
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# Verificar si ya existe
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existing = db.query(Interaction).filter(
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Interaction.external_id == external_id
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).first()
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if not existing:
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interaction = Interaction(
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platform=platform,
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interaction_type="mention",
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external_id=external_id,
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author_username=mention.get("username", mention.get("author_id", "unknown")),
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author_name=mention.get("name"),
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content=mention.get("text", mention.get("message")),
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interaction_at=datetime.fromisoformat(
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mention.get("created_at", datetime.utcnow().isoformat()).replace("Z", "+00:00")
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) if mention.get("created_at") else datetime.utcnow()
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)
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db.add(interaction)
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new_mentions += 1
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# Obtener comentarios de posts recientes
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recent_posts = db.query(Post).filter(
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Post.platform_post_ids.isnot(None),
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Post.platforms.contains([platform])
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).order_by(Post.published_at.desc()).limit(10).all()
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new_comments = 0
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for post in recent_posts:
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platform_id = post.platform_post_ids.get(platform)
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if not platform_id:
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continue
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comments = run_async(publisher.get_comments(platform_id))
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for comment in comments:
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external_id = comment.get("id")
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existing = db.query(Interaction).filter(
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Interaction.external_id == external_id
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).first()
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if not existing:
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interaction = Interaction(
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platform=platform,
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interaction_type="comment",
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post_id=post.id,
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external_id=external_id,
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external_post_id=platform_id,
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author_username=comment.get("username", comment.get("from", {}).get("id", "unknown")),
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author_name=comment.get("from", {}).get("name") if isinstance(comment.get("from"), dict) else None,
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content=comment.get("text", comment.get("message")),
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interaction_at=datetime.fromisoformat(
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comment.get("created_at", comment.get("timestamp", comment.get("created_time", datetime.utcnow().isoformat()))).replace("Z", "+00:00")
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) if comment.get("created_at") or comment.get("timestamp") or comment.get("created_time") else datetime.utcnow()
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)
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db.add(interaction)
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new_comments += 1
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db.commit()
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return f"{platform}: {new_mentions} menciones, {new_comments} comentarios nuevos"
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except Exception as e:
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db.rollback()
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return f"{platform}: error - {e}"
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finally:
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db.close()
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