Recovered state: integrated TrendSurferAgent, restored frontend/backend files, and cleaned up recovery scripts

backend/models/advertools_monitoring_models.py

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+"""
+Advertools Monitoring Models
+Database models for tracking Advertools-based SEO intelligence tasks.
+"""
+
+from sqlalchemy import Column, Integer, String, Text, DateTime, Boolean, JSON, Index, ForeignKey
+from sqlalchemy.orm import relationship
+from datetime import datetime
+
+# Import the same Base from enhanced_strategy_models
+from models.enhanced_strategy_models import Base
+
+
+class AdvertoolsTask(Base):
+    """
+    Model for storing Advertools intelligence tasks.
+    Tracks weekly content audits and site health monitoring.
+    """
+    __tablename__ = "advertools_tasks"
+    
+    id = Column(Integer, primary_key=True, index=True)
+    
+    # User and URL Identification
+    user_id = Column(String(255), nullable=False, index=True)
+    website_url = Column(String(500), nullable=False, index=True)
+    
+    # Task Status
+    status = Column(String(50), default='active', index=True)  # 'active', 'failed', 'paused'
+    
+    # Execution Tracking
+    last_executed = Column(DateTime, nullable=True)
+    last_success = Column(DateTime, nullable=True)
+    last_failure = Column(DateTime, nullable=True)
+    failure_reason = Column(Text, nullable=True)
+    
+    # Failure Pattern Tracking
+    consecutive_failures = Column(Integer, default=0)
+    failure_pattern = Column(JSON, nullable=True)
+    
+    # Scheduling
+    next_execution = Column(DateTime, nullable=True, index=True)
+    frequency_days = Column(Integer, default=7)  # Weekly by default
+    
+    # Task Type & Data
+    payload = Column(JSON, nullable=True) # {"type": "content_audit", "website_url": "..."}
+    
+    # Metadata
+    created_at = Column(DateTime, default=datetime.utcnow)
+    updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
+    
+    # Execution Logs Relationship
+    execution_logs = relationship(
+        "AdvertoolsExecutionLog",
+        back_populates="task",
+        cascade="all, delete-orphan"
+    )
+    
+    __table_args__ = (
+        Index('idx_advertools_tasks_user_site', 'user_id', 'website_url'),
+        Index('idx_advertools_tasks_next_execution', 'next_execution'),
+        Index('idx_advertools_tasks_status', 'status'),
+    )
+    
+    def __repr__(self):
+        return f"<AdvertoolsTask(id={self.id}, user_id={self.user_id}, url={self.website_url}, status={self.status})>"
+
+
+class AdvertoolsExecutionLog(Base):
+    """
+    Model for storing Advertools execution logs.
+    """
+    __tablename__ = "advertools_execution_logs"
+    
+    id = Column(Integer, primary_key=True, index=True)
+    
+    # Task Reference
+    task_id = Column(Integer, ForeignKey("advertools_tasks.id"), nullable=False, index=True)
+    
+    # Execution Details
+    execution_date = Column(DateTime, default=datetime.utcnow, nullable=False)
+    status = Column(String(50), nullable=False)  # 'success', 'failed', 'skipped', 'running'
+    
+    # Results
+    result_data = Column(JSON, nullable=True)
+    error_message = Column(Text, nullable=True)
+    execution_time_ms = Column(Integer, nullable=True)
+    
+    # Metadata
+    created_at = Column(DateTime, default=datetime.utcnow)
+    
+    # Relationship to task
+    task = relationship("AdvertoolsTask", back_populates="execution_logs")
+    
+    __table_args__ = (
+        Index('idx_advertools_execution_logs_task_date', 'task_id', 'execution_date'),
+        Index('idx_advertools_execution_logs_status', 'status'),
+    )
+    
+    def __repr__(self):
+        return f"<AdvertoolsExecutionLog(id={self.id}, task_id={self.task_id}, status={self.status}, execution_date={self.execution_date})>"