feat: Add Analytics, Odoo Integration, A/B Testing, and Content features

Phase 1 - Analytics y Reportes:
- PostMetrics and AnalyticsReport models for tracking engagement
- Analytics service with dashboard stats, top posts, optimal times
- 8 API endpoints at /api/analytics/*
- Interactive dashboard with Chart.js charts
- Celery tasks for metrics fetch (15min) and weekly reports

Phase 2 - Integración Odoo:
- Lead and OdooSyncLog models for CRM integration
- Odoo fields added to Product and Service models
- XML-RPC service for bidirectional sync
- Lead management API at /api/leads/*
- Leads dashboard template
- Celery tasks for product/service sync and lead export

Phase 3 - A/B Testing y Recycling:
- ABTest, ABTestVariant, RecycledPost models
- Statistical winner analysis using chi-square test
- Content recycling with engagement-based scoring
- APIs at /api/ab-tests/* and /api/recycling/*
- Automated test evaluation and content recycling tasks

Phase 4 - Thread Series y Templates:
- ThreadSeries and ThreadPost models for multi-post threads
- AI-powered thread generation
- Enhanced ImageTemplate with HTML template support
- APIs at /api/threads/* and /api/templates/*
- Thread scheduling with reply chain support

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-01-28 03:10:42 +00:00
parent 03b5f9f2e2
commit ecc2ca73ea
31 changed files with 6067 additions and 6 deletions

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"""
Post Metrics Model - Tracking engagement metrics per post.
"""
from datetime import datetime
from sqlalchemy import Column, Integer, Float, String, DateTime, ForeignKey, Index
from sqlalchemy.orm import relationship
from app.core.database import Base
class PostMetrics(Base):
"""
Stores engagement metrics for posts.
Multiple records per post to track metrics over time.
"""
__tablename__ = "post_metrics"
id = Column(Integer, primary_key=True, index=True)
post_id = Column(Integer, ForeignKey("posts.id", ondelete="CASCADE"), nullable=False)
platform = Column(String(50), nullable=False)
# Core engagement metrics
likes = Column(Integer, default=0)
comments = Column(Integer, default=0)
shares = Column(Integer, default=0) # retweets, reposts
impressions = Column(Integer, default=0)
reach = Column(Integer, default=0)
saves = Column(Integer, default=0) # bookmarks
clicks = Column(Integer, default=0) # link clicks
replies = Column(Integer, default=0)
quotes = Column(Integer, default=0) # quote tweets
# Calculated metrics
engagement_rate = Column(Float, default=0.0)
engagement_total = Column(Integer, default=0)
# Timestamps
recorded_at = Column(DateTime, default=datetime.utcnow, index=True)
created_at = Column(DateTime, default=datetime.utcnow)
# Relationships
post = relationship("Post", back_populates="metrics_history")
# Indexes for efficient queries
__table_args__ = (
Index("ix_post_metrics_post_platform", "post_id", "platform"),
Index("ix_post_metrics_recorded", "recorded_at"),
)
def calculate_engagement_rate(self):
"""Calculate engagement rate based on impressions."""
self.engagement_total = (
self.likes + self.comments + self.shares +
self.saves + self.replies + self.quotes
)
if self.impressions > 0:
self.engagement_rate = (self.engagement_total / self.impressions) * 100
else:
self.engagement_rate = 0.0
def to_dict(self):
return {
"id": self.id,
"post_id": self.post_id,
"platform": self.platform,
"likes": self.likes,
"comments": self.comments,
"shares": self.shares,
"impressions": self.impressions,
"reach": self.reach,
"saves": self.saves,
"clicks": self.clicks,
"replies": self.replies,
"quotes": self.quotes,
"engagement_rate": round(self.engagement_rate, 2),
"engagement_total": self.engagement_total,
"recorded_at": self.recorded_at.isoformat() if self.recorded_at else None
}