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Database models for alerts, incidents, and analyses
"""
from sqlalchemy import Column, String, Integer, Float, DateTime, Boolean, Enum, ForeignKey, JSON, Text
from sqlalchemy.orm import relationship
from sqlalchemy.dialects.postgresql import UUID
import uuid
from datetime import datetime
import enum
from src.database import Base
class AlertSeverity(str, enum.Enum):
"""Alert severity levels"""
CRITICAL = "CRITICAL"
HIGH = "HIGH"
MEDIUM = "MEDIUM"
LOW = "LOW"
INFO = "INFO"
class AlertStatus(str, enum.Enum):
"""Alert status"""
NEW = "NEW"
ACKNOWLEDGED = "ACKNOWLEDGED"
RESOLVED = "RESOLVED"
SUPPRESSED = "SUPPRESSED"
class IncidentSeverity(str, enum.Enum):
"""Incident severity levels"""
CRITICAL = "CRITICAL"
HIGH = "HIGH"
MEDIUM = "MEDIUM"
LOW = "LOW"
class IncidentStatus(str, enum.Enum):
"""Incident status"""
OPEN = "OPEN"
IN_PROGRESS = "IN_PROGRESS"
RESOLVED = "RESOLVED"
CLOSED = "CLOSED"
class IncidentEventType(str, enum.Enum):
"""Types of incident events"""
CREATED = "CREATED"
UPDATED = "UPDATED"
ANALYZED = "ANALYZED"
RECOMMENDED = "RECOMMENDED"
ACKNOWLEDGED = "ACKNOWLEDGED"
RESOLVED = "RESOLVED"
ESCALATED = "ESCALATED"
COMMENTED = "COMMENTED"
class AnalysisType(str, enum.Enum):
"""Types of LLM analysis"""
CLASSIFICATION = "CLASSIFICATION"
ROOT_CAUSE = "ROOT_CAUSE"
RECOMMENDATION = "RECOMMENDATION"
class Alert(Base):
"""Alert model"""
__tablename__ = "alerts"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
source = Column(String(100), nullable=False, index=True)
source_id = Column(String(255), nullable=False)
title = Column(String(255), nullable=False)
description = Column(Text)
severity = Column(Enum(AlertSeverity), nullable=False, index=True)
status = Column(Enum(AlertStatus), default=AlertStatus.NEW, nullable=False, index=True)
# Categorization
category = Column(String(100))
affected_service = Column(JSON) # List of services
affected_component = Column(String(255))
tags = Column(JSON, default=[])
# Fingerprint for deduplication
fingerprint = Column(String(255), nullable=False, unique=True, index=True)
# Metrics and metadata
metrics = Column(JSON)
metadata = Column(JSON)
remediation_hints = Column(JSON)
# Relationships
incident_id = Column(UUID(as_uuid=True), ForeignKey("incidents.id"))
incident = relationship("Incident", back_populates="alerts")
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
resolved_at = Column(DateTime)
def __repr__(self):
return f"<Alert {self.id}: {self.title}>"
class Incident(Base):
"""Incident model"""
__tablename__ = "incidents"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
title = Column(String(255), nullable=False)
description = Column(Text)
# Classification
severity = Column(Enum(IncidentSeverity), nullable=False, index=True)
status = Column(Enum(IncidentStatus), default=IncidentStatus.OPEN, nullable=False, index=True)
category = Column(String(100))
# Impact
impact_summary = Column(Text)
affected_services = Column(JSON, default=[])
estimated_users_impacted = Column(Integer)
business_impact = Column(String(50)) # High, Medium, Low
# Root cause and analysis
root_cause = Column(Text)
root_cause_confidence = Column(Float)
# Resolution
assigned_to = Column(String(255))
resolved_at = Column(DateTime)
resolution_time_minutes = Column(Integer)
# Relationships
alerts = relationship("Alert", back_populates="incident")
events = relationship("IncidentEvent", back_populates="incident", cascade="all, delete-orphan")
analyses = relationship("IncidentAnalysis", back_populates="incident", cascade="all, delete-orphan")
recommendations = relationship("IncidentRecommendation", back_populates="incident", cascade="all, delete-orphan")
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
def __repr__(self):
return f"<Incident {self.id}: {self.title}>"
class IncidentEvent(Base):
"""Timeline event for an incident"""
__tablename__ = "incident_events"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
incident_id = Column(UUID(as_uuid=True), ForeignKey("incidents.id"), nullable=False)
incident = relationship("Incident", back_populates="events")
event_type = Column(Enum(IncidentEventType), nullable=False, index=True)
message = Column(Text, nullable=False)
actor = Column(String(255)) # SYSTEM or user email
details = Column(JSON)
created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
def __repr__(self):
return f"<IncidentEvent {self.id}: {self.event_type}>"
class IncidentAnalysis(Base):
"""LLM analysis results for an incident"""
__tablename__ = "llm_analyses"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
incident_id = Column(UUID(as_uuid=True), ForeignKey("incidents.id"), nullable=False)
incident = relationship("Incident", back_populates="analyses")
analysis_type = Column(Enum(AnalysisType), nullable=False, index=True)
model_used = Column(String(100), nullable=False)
# Prompt and response
prompt = Column(Text)
response = Column(Text)
response_json = Column(JSON)
# Confidence
confidence_score = Column(Float)
# Metadata
tokens_used = Column(Integer)
latency_ms = Column(Integer)
created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
def __repr__(self):
return f"<IncidentAnalysis {self.id}: {self.analysis_type}>"
class IncidentRecommendation(Base):
"""Recommended actions for an incident"""
__tablename__ = "incident_recommendations"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
incident_id = Column(UUID(as_uuid=True), ForeignKey("incidents.id"), nullable=False)
incident = relationship("Incident", back_populates="recommendations")
priority = Column(String(50)) # CRITICAL, HIGH, MEDIUM, LOW
phase = Column(String(50)) # immediate, investigation, remediation, prevention
recommendation = Column(String(255), nullable=False)
description = Column(Text)
estimated_time = Column(String(100))
risk_level = Column(String(50)) # Critical, High, Medium, Low
success_criteria = Column(Text)
# Status
status = Column(String(50), default="PENDING") # PENDING, IN_PROGRESS, COMPLETED, SKIPPED
executed_at = Column(DateTime)
executed_by = Column(String(255))
created_at = Column(DateTime, default=datetime.utcnow, nullable=False)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
def __repr__(self):
return f"<IncidentRecommendation {self.id}: {self.recommendation}>"
class NotificationLog(Base):
"""Log of sent notifications"""
__tablename__ = "notification_logs"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
incident_id = Column(UUID(as_uuid=True), ForeignKey("incidents.id"))
channel = Column(String(50), nullable=False) # email, slack, webhook, etc
recipient = Column(String(255), nullable=False)
subject = Column(String(255))
body = Column(Text)
status = Column(String(50), default="SENT") # SENT, FAILED, BOUNCED
error_message = Column(Text)
created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
def __repr__(self):
return f"<NotificationLog {self.id}: {self.channel} to {self.recipient}>"
class AuditLog(Base):
"""Audit log for user actions"""
__tablename__ = "audit_logs"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
user = Column(String(255), nullable=False)
action = Column(String(255), nullable=False)
resource_type = Column(String(100))
resource_id = Column(String(255))
changes = Column(JSON)
created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
def __repr__(self):
return f"<AuditLog {self.id}: {self.action}>"
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