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>
88 lines
3.3 KiB
Python
88 lines
3.3 KiB
Python
"""
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Modelo de Interaction - Interacciones en redes sociales.
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"""
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from datetime import datetime
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from sqlalchemy import Column, Integer, String, Text, Boolean, DateTime, ForeignKey
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from app.core.database import Base
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class Interaction(Base):
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"""Modelo para interacciones (comentarios, DMs, menciones)."""
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__tablename__ = "interactions"
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id = Column(Integer, primary_key=True, index=True)
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# Plataforma
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platform = Column(String(50), nullable=False, index=True)
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# Valores: x, threads, instagram, facebook
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# Tipo de interacción
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interaction_type = Column(String(50), nullable=False, index=True)
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# Tipos: comment, reply, dm, mention, like, repost, quote
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# Post relacionado (si aplica)
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post_id = Column(Integer, ForeignKey("posts.id"), nullable=True)
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# ID externo en la plataforma
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external_id = Column(String(100), nullable=False, unique=True)
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external_post_id = Column(String(100), nullable=True) # ID del post en la plataforma
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# Autor de la interacción
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author_username = Column(String(100), nullable=False)
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author_name = Column(String(255), nullable=True)
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author_profile_url = Column(String(500), nullable=True)
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author_avatar_url = Column(String(500), nullable=True)
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# Contenido
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content = Column(Text, nullable=True)
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# Respuesta
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responded = Column(Boolean, default=False, index=True)
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response_content = Column(Text, nullable=True)
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responded_at = Column(DateTime, nullable=True)
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response_external_id = Column(String(100), nullable=True)
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# Clasificación
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is_lead = Column(Boolean, default=False) # Potencial cliente
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sentiment = Column(String(50), nullable=True) # positive, negative, neutral
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priority = Column(Integer, default=0) # 0=normal, 1=importante, 2=urgente
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# Estado
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is_read = Column(Boolean, default=False)
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is_archived = Column(Boolean, default=False)
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# Timestamps
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interaction_at = Column(DateTime, nullable=False) # Cuándo ocurrió en la plataforma
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created_at = Column(DateTime, default=datetime.utcnow) # Cuándo se guardó aquí
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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def __repr__(self):
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return f"<Interaction {self.platform} - {self.interaction_type} - {self.author_username}>"
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def to_dict(self):
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"""Convertir a diccionario."""
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return {
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"id": self.id,
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"platform": self.platform,
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"interaction_type": self.interaction_type,
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"post_id": self.post_id,
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"external_id": self.external_id,
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"author_username": self.author_username,
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"author_name": self.author_name,
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"author_profile_url": self.author_profile_url,
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"author_avatar_url": self.author_avatar_url,
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"content": self.content,
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"responded": self.responded,
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"response_content": self.response_content,
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"responded_at": self.responded_at.isoformat() if self.responded_at else None,
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"is_lead": self.is_lead,
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"sentiment": self.sentiment,
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"priority": self.priority,
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"is_read": self.is_read,
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"interaction_at": self.interaction_at.isoformat() if self.interaction_at else None,
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"created_at": self.created_at.isoformat() if self.created_at else None
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}
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