AI platform insights monitoring and website analysis monitoring services added

backend/models/scheduler_cumulative_stats_model.py

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+"""
+Scheduler Cumulative Stats Model
+Model for storing persistent cumulative scheduler metrics that survive restarts.
+"""
+
+from sqlalchemy import Column, Integer, DateTime, Index
+from datetime import datetime
+from models.enhanced_strategy_models import Base
+
+
+class SchedulerCumulativeStats(Base):
+    """Model for storing cumulative scheduler metrics that persist across restarts"""
+    __tablename__ = "scheduler_cumulative_stats"
+    
+    id = Column(Integer, primary_key=True, index=True, default=1)  # Always use id=1
+    total_check_cycles = Column(Integer, default=0, nullable=False)
+    cumulative_tasks_found = Column(Integer, default=0, nullable=False)
+    cumulative_tasks_executed = Column(Integer, default=0, nullable=False)
+    cumulative_tasks_failed = Column(Integer, default=0, nullable=False)
+    cumulative_tasks_skipped = Column(Integer, default=0, nullable=False)
+    cumulative_job_completed = Column(Integer, default=0, nullable=False)
+    cumulative_job_failed = Column(Integer, default=0, nullable=False)
+    
+    last_updated = Column(DateTime, default=datetime.utcnow, nullable=False, onupdate=datetime.utcnow)
+    last_check_cycle_id = Column(Integer, nullable=True)  # Reference to last check_cycle event log ID
+    
+    created_at = Column(DateTime, default=datetime.utcnow, nullable=False)
+    updated_at = Column(DateTime, default=datetime.utcnow, nullable=False, onupdate=datetime.utcnow)
+    
+    __table_args__ = (
+        Index('idx_scheduler_cumulative_stats_single_row', 'id', unique=True),
+    )
+    
+    @classmethod
+    def get_or_create(cls, db_session):
+        """
+        Get the cumulative stats row (id=1) or create it if it doesn't exist.
+        
+        Returns:
+            SchedulerCumulativeStats instance
+        """
+        stats = db_session.query(cls).filter(cls.id == 1).first()
+        if not stats:
+            stats = cls(id=1)
+            db_session.add(stats)
+            db_session.commit()
+        return stats
+