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core/models/performance.py

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+"""
+Performance Monitoring Models
+"""
+
+import uuid
+
+from sqlalchemy import Boolean, Column, DateTime, Float, Index, String
+
+from core.models.base import Base, utc_now
+
+
+class PerformanceMetric(Base):
+    """
+    Performance Metrics Model
+    Stores frontend Web Vitals and other performance indicators.
+    """
+
+    __tablename__ = "performance_metrics"
+
+    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    timestamp = Column(DateTime, default=utc_now, nullable=False)
+
+    # Context
+    user_id = Column(String, nullable=True, index=True)
+    url = Column(String, nullable=False, index=True)
+    user_agent = Column(String, nullable=False)
+
+    # Web Vitals (all in milliseconds except CLS)
+    lcp = Column(Float, nullable=True)  # Largest Contentful Paint
+    fid = Column(Float, nullable=True)  # First Input Delay
+    cls = Column(Float, nullable=True)  # Cumulative Layout Shift
+    fcp = Column(Float, nullable=True)  # First Contentful Paint
+    ttfb = Column(Float, nullable=True) # Time to First Byte
+
+    # Additional Metrics
+    dom_content_loaded = Column(Float, nullable=True)
+    load_complete = Column(Float, nullable=True)
+    dom_interactive = Column(Float, nullable=True)
+
+    # Analysis
+    is_violation = Column(Boolean, default=False, nullable=False)
+    violation_details = Column(String, nullable=True)
+
+    __table_args__ = (
+        Index("idx_perf_timestamp", "timestamp"),
+        Index("idx_perf_url_timestamp", "url", "timestamp"),
+    )
+
+    def to_dict(self):
+        return {
+            "id": self.id,
+            "timestamp": self.timestamp.isoformat(),
+            "url": self.url,
+            "metrics": {
+                "lcp": self.lcp,
+                "fid": self.fid,
+                "cls": self.cls,
+                "fcp": self.fcp,
+                "ttfb": self.ttfb
+            },
+            "is_violation": self.is_violation
+        }