Consultoría AS
67263e7ed9
- Add abstract get_post_metrics() method to BasePublisher - Implement get_post_metrics() in XPublisher using Twitter API v2 - Returns: likes, comments, shares, retweets, quotes, impressions - Implement get_post_metrics() in ThreadsPublisher using Meta Graph API - Implement get_post_metrics() in FacebookPublisher with insights - Implement get_post_metrics() in InstagramPublisher with insights This enables the fetch_post_metrics task to collect engagement data from all platforms, populating the analytics dashboard. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
86 lines
2.1 KiB
Python
86 lines
2.1 KiB
Python
"""
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Clase base para publishers de redes sociales.
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"""
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from abc import ABC, abstractmethod
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from typing import Optional, List, Dict
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from dataclasses import dataclass
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@dataclass
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class PublishResult:
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"""Resultado de una publicación."""
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success: bool
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post_id: Optional[str] = None
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url: Optional[str] = None
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error_message: Optional[str] = None
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class BasePublisher(ABC):
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"""Clase base abstracta para publishers."""
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platform: str = "base"
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@abstractmethod
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async def publish(
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self,
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content: str,
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image_path: Optional[str] = None
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) -> PublishResult:
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"""Publicar contenido en la plataforma."""
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pass
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@abstractmethod
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async def publish_thread(
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self,
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posts: List[str],
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images: Optional[List[str]] = None
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) -> PublishResult:
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"""Publicar un hilo de posts."""
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pass
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@abstractmethod
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async def reply(
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self,
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post_id: str,
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content: str
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) -> PublishResult:
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"""Responder a un post."""
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pass
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@abstractmethod
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async def like(self, post_id: str) -> bool:
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"""Dar like a un post."""
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pass
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@abstractmethod
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async def get_mentions(self, since_id: Optional[str] = None) -> List[Dict]:
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"""Obtener menciones recientes."""
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pass
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@abstractmethod
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async def get_comments(self, post_id: str) -> List[Dict]:
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"""Obtener comentarios de un post."""
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pass
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@abstractmethod
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async def delete(self, post_id: str) -> bool:
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"""Eliminar un post."""
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pass
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@abstractmethod
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async def get_post_metrics(self, post_id: str) -> Optional[Dict]:
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"""
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Obtener métricas de un post.
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Returns:
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Dict con métricas: likes, comments, shares, impressions, etc.
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None si no se pueden obtener
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"""
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pass
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def validate_content(self, content: str) -> bool:
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"""Validar que el contenido cumple con los límites de la plataforma."""
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# Implementar en subclases según límites específicos
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return True
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