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"""
Service for threat operations.
"""
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.future import select
from sqlalchemy import func, or_, and_
from datetime import datetime, timedelta
from typing import List, Optional, Dict, Any, Union
from src.models.threat import Threat, ThreatSeverity, ThreatStatus, ThreatCategory
from src.models.indicator import Indicator, IndicatorType
from src.api.schemas import PaginationParams
async def create_threat(
db: AsyncSession,
title: str,
description: str,
severity: ThreatSeverity,
category: ThreatCategory,
status: ThreatStatus = ThreatStatus.NEW,
source_url: Optional[str] = None,
source_name: Optional[str] = None,
source_type: Optional[str] = None,
affected_entity: Optional[str] = None,
affected_entity_type: Optional[str] = None,
confidence_score: float = 0.0,
risk_score: float = 0.0,
) -> Threat:
"""
Create a new threat.
Args:
db: Database session
title: Threat title
description: Threat description
severity: Threat severity
category: Threat category
status: Threat status
source_url: URL of the source
source_name: Name of the source
source_type: Type of source
affected_entity: Name of affected entity
affected_entity_type: Type of affected entity
confidence_score: Confidence score (0-1)
risk_score: Risk score (0-1)
Returns:
Threat: Created threat
"""
db_threat = Threat(
title=title,
description=description,
severity=severity,
category=category,
status=status,
source_url=source_url,
source_name=source_name,
source_type=source_type,
discovered_at=datetime.utcnow(),
affected_entity=affected_entity,
affected_entity_type=affected_entity_type,
confidence_score=confidence_score,
risk_score=risk_score,
)
db.add(db_threat)
await db.commit()
await db.refresh(db_threat)
return db_threat
async def get_threat_by_id(db: AsyncSession, threat_id: int) -> Optional[Threat]:
"""
Get threat by ID.
Args:
db: Database session
threat_id: Threat ID
Returns:
Optional[Threat]: Threat or None if not found
"""
result = await db.execute(select(Threat).filter(Threat.id == threat_id))
return result.scalars().first()
async def get_threats(
db: AsyncSession,
pagination: PaginationParams,
severity: Optional[List[ThreatSeverity]] = None,
status: Optional[List[ThreatStatus]] = None,
category: Optional[List[ThreatCategory]] = None,
search_query: Optional[str] = None,
from_date: Optional[datetime] = None,
to_date: Optional[datetime] = None,
) -> List[Threat]:
"""
Get threats with filtering and pagination.
Args:
db: Database session
pagination: Pagination parameters
severity: Filter by severity
status: Filter by status
category: Filter by category
search_query: Search in title and description
from_date: Filter by discovered_at >= from_date
to_date: Filter by discovered_at <= to_date
Returns:
List[Threat]: List of threats
"""
query = select(Threat)
# Apply filters
if severity:
query = query.filter(Threat.severity.in_(severity))
if status:
query = query.filter(Threat.status.in_(status))
if category:
query = query.filter(Threat.category.in_(category))
if search_query:
search_filter = or_(
Threat.title.ilike(f"%{search_query}%"),
Threat.description.ilike(f"%{search_query}%")
)
query = query.filter(search_filter)
if from_date:
query = query.filter(Threat.discovered_at >= from_date)
if to_date:
query = query.filter(Threat.discovered_at <= to_date)
# Apply pagination
query = query.order_by(Threat.discovered_at.desc())
query = query.offset((pagination.page - 1) * pagination.size).limit(pagination.size)
result = await db.execute(query)
return result.scalars().all()
async def count_threats(
db: AsyncSession,
severity: Optional[List[ThreatSeverity]] = None,
status: Optional[List[ThreatStatus]] = None,
category: Optional[List[ThreatCategory]] = None,
search_query: Optional[str] = None,
from_date: Optional[datetime] = None,
to_date: Optional[datetime] = None,
) -> int:
"""
Count threats with filtering.
Args:
db: Database session
severity: Filter by severity
status: Filter by status
category: Filter by category
search_query: Search in title and description
from_date: Filter by discovered_at >= from_date
to_date: Filter by discovered_at <= to_date
Returns:
int: Count of threats
"""
query = select(func.count(Threat.id))
# Apply filters (same as in get_threats)
if severity:
query = query.filter(Threat.severity.in_(severity))
if status:
query = query.filter(Threat.status.in_(status))
if category:
query = query.filter(Threat.category.in_(category))
if search_query:
search_filter = or_(
Threat.title.ilike(f"%{search_query}%"),
Threat.description.ilike(f"%{search_query}%")
)
query = query.filter(search_filter)
if from_date:
query = query.filter(Threat.discovered_at >= from_date)
if to_date:
query = query.filter(Threat.discovered_at <= to_date)
result = await db.execute(query)
return result.scalar()
async def update_threat(
db: AsyncSession,
threat_id: int,
title: Optional[str] = None,
description: Optional[str] = None,
severity: Optional[ThreatSeverity] = None,
status: Optional[ThreatStatus] = None,
category: Optional[ThreatCategory] = None,
affected_entity: Optional[str] = None,
affected_entity_type: Optional[str] = None,
confidence_score: Optional[float] = None,
risk_score: Optional[float] = None,
) -> Optional[Threat]:
"""
Update threat.
Args:
db: Database session
threat_id: Threat ID
title: New title
description: New description
severity: New severity
status: New status
category: New category
affected_entity: New affected entity
affected_entity_type: New affected entity type
confidence_score: New confidence score
risk_score: New risk score
Returns:
Optional[Threat]: Updated threat or None if not found
"""
threat = await get_threat_by_id(db, threat_id)
if not threat:
return None
if title is not None:
threat.title = title
if description is not None:
threat.description = description
if severity is not None:
threat.severity = severity
if status is not None:
threat.status = status
if category is not None:
threat.category = category
if affected_entity is not None:
threat.affected_entity = affected_entity
if affected_entity_type is not None:
threat.affected_entity_type = affected_entity_type
if confidence_score is not None:
threat.confidence_score = confidence_score
if risk_score is not None:
threat.risk_score = risk_score
threat.updated_at = datetime.utcnow()
await db.commit()
await db.refresh(threat)
return threat
async def add_indicator_to_threat(
db: AsyncSession,
threat_id: int,
value: str,
indicator_type: IndicatorType,
description: Optional[str] = None,
is_verified: bool = False,
context: Optional[str] = None,
source: Optional[str] = None,
confidence_score: float = 0.0,
) -> Indicator:
"""
Add an indicator to a threat.
Args:
db: Database session
threat_id: Threat ID
value: Indicator value
indicator_type: Indicator type
description: Description of the indicator
is_verified: Whether the indicator is verified
context: Context of the indicator
source: Source of the indicator
confidence_score: Confidence score (0-1)
Returns:
Indicator: Created indicator
"""
# Check if threat exists
threat = await get_threat_by_id(db, threat_id)
if not threat:
raise ValueError(f"Threat with ID {threat_id} not found")
# Create indicator
db_indicator = Indicator(
threat_id=threat_id,
value=value,
indicator_type=indicator_type,
description=description,
is_verified=is_verified,
context=context,
source=source,
confidence_score=confidence_score,
first_seen=datetime.utcnow(),
last_seen=datetime.utcnow(),
)
db.add(db_indicator)
await db.commit()
await db.refresh(db_indicator)
return db_indicator
async def get_threat_statistics(
db: AsyncSession,
from_date: Optional[datetime] = None,
to_date: Optional[datetime] = None,
) -> Dict[str, Any]:
"""
Get threat statistics.
Args:
db: Database session
from_date: Filter by discovered_at >= from_date
to_date: Filter by discovered_at <= to_date
Returns:
Dict[str, Any]: Threat statistics
"""
# Set default time range if not provided
if not to_date:
to_date = datetime.utcnow()
if not from_date:
from_date = to_date - timedelta(days=30)
# Get count by severity
severity_counts = {}
for severity in ThreatSeverity:
query = select(func.count(Threat.id)).filter(and_(
Threat.severity == severity,
Threat.discovered_at >= from_date,
Threat.discovered_at <= to_date,
))
result = await db.execute(query)
severity_counts[severity.value] = result.scalar() or 0
# Get count by status
status_counts = {}
for status in ThreatStatus:
query = select(func.count(Threat.id)).filter(and_(
Threat.status == status,
Threat.discovered_at >= from_date,
Threat.discovered_at <= to_date,
))
result = await db.execute(query)
status_counts[status.value] = result.scalar() or 0
# Get count by category
category_counts = {}
for category in ThreatCategory:
query = select(func.count(Threat.id)).filter(and_(
Threat.category == category,
Threat.discovered_at >= from_date,
Threat.discovered_at <= to_date,
))
result = await db.execute(query)
category_counts[category.value] = result.scalar() or 0
# Get total count
query = select(func.count(Threat.id)).filter(and_(
Threat.discovered_at >= from_date,
Threat.discovered_at <= to_date,
))
result = await db.execute(query)
total_count = result.scalar() or 0
# Get count by day
time_series = []
current_date = from_date.date()
end_date = to_date.date()
while current_date <= end_date:
next_date = current_date + timedelta(days=1)
query = select(func.count(Threat.id)).filter(and_(
Threat.discovered_at >= datetime.combine(current_date, datetime.min.time()),
Threat.discovered_at < datetime.combine(next_date, datetime.min.time()),
))
result = await db.execute(query)
count = result.scalar() or 0
time_series.append({
"date": current_date.isoformat(),
"count": count
})
current_date = next_date
# Return statistics
return {
"total_count": total_count,
"severity_counts": severity_counts,
"status_counts": status_counts,
"category_counts": category_counts,
"time_series": time_series,
"from_date": from_date.isoformat(),
"to_date": to_date.isoformat(),
} |