Files
social-media-automation/worker/tasks/fetch_interactions.py
Consultoría AS b6823651e0 feat: Add follower tracking to interactions
- Add get_followers() method to X publisher
- Track new followers as "follow" interaction type
- Update daily reports to show followers separately
- Store follower name, username, bio, and profile image

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-29 23:07:28 +00:00

186 lines
7.0 KiB
Python

"""
Tareas para obtener interacciones de redes sociales.
"""
import asyncio
from datetime import datetime
from worker.celery_app import celery_app
from app.core.database import SessionLocal
from app.models.interaction import Interaction
from app.models.post import Post
from app.publishers import get_publisher
def run_async(coro):
"""Helper para ejecutar coroutines en Celery."""
loop = asyncio.get_event_loop()
return loop.run_until_complete(coro)
@celery_app.task(name="worker.tasks.fetch_interactions.fetch_all_interactions")
def fetch_all_interactions():
"""
Obtener interacciones de todas las plataformas.
Se ejecuta cada 5 minutos.
"""
platforms = ["x", "threads", "instagram", "facebook"]
results = []
for platform in platforms:
try:
result = fetch_platform_interactions.delay(platform)
results.append(f"{platform}: tarea enviada")
except Exception as e:
results.append(f"{platform}: error - {e}")
return results
@celery_app.task(name="worker.tasks.fetch_interactions.fetch_platform_interactions")
def fetch_platform_interactions(platform: str):
"""Obtener interacciones de una plataforma específica."""
db = SessionLocal()
try:
publisher = get_publisher(platform)
# Set para trackear external_ids procesados en esta ejecución
# Evita duplicados cuando un tweet es tanto mención como comentario
processed_ids = set()
# Obtener menciones
mentions = run_async(publisher.get_mentions())
new_mentions = 0
for mention in mentions:
external_id = mention.get("id")
# Verificar si ya existe en DB o fue procesado en esta ejecución
if external_id in processed_ids:
continue
existing = db.query(Interaction).filter(
Interaction.external_id == external_id
).first()
if not existing:
# Obtener username (preferir username sobre author_id)
author_username = mention.get("username") or mention.get("author_id", "unknown")
interaction = Interaction(
platform=platform,
interaction_type="mention",
external_id=external_id,
author_username=author_username,
author_name=mention.get("name"),
content=mention.get("text", mention.get("message")),
interaction_at=datetime.fromisoformat(
mention.get("created_at", datetime.utcnow().isoformat()).replace("Z", "+00:00")
) if mention.get("created_at") else datetime.utcnow()
)
db.add(interaction)
processed_ids.add(external_id)
new_mentions += 1
# Obtener comentarios de posts recientes
recent_posts = db.query(Post).filter(
Post.platform_post_ids.isnot(None),
Post.platforms.contains([platform])
).order_by(Post.published_at.desc()).limit(10).all()
new_comments = 0
for post in recent_posts:
platform_id = post.platform_post_ids.get(platform)
if not platform_id:
continue
comments = run_async(publisher.get_comments(platform_id))
for comment in comments:
external_id = comment.get("id")
# Verificar si ya fue procesado como mención o existe en DB
if external_id in processed_ids:
continue
existing = db.query(Interaction).filter(
Interaction.external_id == external_id
).first()
if not existing:
# Obtener username (X usa 'username', Meta usa 'from.id')
author_username = comment.get("username")
if not author_username:
from_data = comment.get("from", {})
author_username = from_data.get("id", "unknown") if isinstance(from_data, dict) else "unknown"
# Obtener nombre del autor
author_name = None
if isinstance(comment.get("from"), dict):
author_name = comment.get("from", {}).get("name")
interaction = Interaction(
platform=platform,
interaction_type="comment",
post_id=post.id,
external_id=external_id,
external_post_id=platform_id,
author_username=author_username,
author_name=author_name,
content=comment.get("text", comment.get("message")),
interaction_at=datetime.fromisoformat(
comment.get("created_at", comment.get("timestamp", comment.get("created_time", datetime.utcnow().isoformat()))).replace("Z", "+00:00")
) if comment.get("created_at") or comment.get("timestamp") or comment.get("created_time") else datetime.utcnow()
)
db.add(interaction)
processed_ids.add(external_id)
new_comments += 1
# Obtener nuevos followers (solo para X por ahora)
new_follows = 0
if platform == "x" and hasattr(publisher, 'get_followers'):
followers = run_async(publisher.get_followers(max_results=100))
for follower in followers:
# Usar "follow_" prefix para distinguir de tweet IDs
follower_id = follower.get("id")
external_id = f"follow_{follower_id}"
if external_id in processed_ids:
continue
existing = db.query(Interaction).filter(
Interaction.external_id == external_id
).first()
if not existing:
interaction = Interaction(
platform=platform,
interaction_type="follow",
external_id=external_id,
author_username=follower.get("username", "unknown"),
author_name=follower.get("name"),
author_avatar_url=follower.get("profile_image_url"),
content=follower.get("description"), # Bio del usuario
interaction_at=datetime.utcnow() # No sabemos cuándo siguió exactamente
)
db.add(interaction)
processed_ids.add(external_id)
new_follows += 1
db.commit()
result = f"{platform}: {new_mentions} menciones, {new_comments} comentarios"
if new_follows > 0:
result += f", {new_follows} follows nuevos"
return result
except Exception as e:
db.rollback()
return f"{platform}: error - {e}"
finally:
db.close()