kitos
9ff0f04ba3
Enable ANN rules in ruff.toml (flake8-annotations) and resolve all 221 violations: ANN201/ANN202 — return types on 168 public/private functions: - All 28 FastAPI routers: endpoints annotated with dict/list/specific schema/ StreamingResponse/FileResponse/JSONResponse as appropriate - main.py: lifespan→AsyncGenerator[None,None], exception handlers→JSONResponse - database.py: get_db→Generator[Session,None,None], proxy methods→correct types - middleware/request_context.py: dispatch→Response with Callable call_next type ANN001/ANN002/ANN003 — 32 missing argument types: - seed_demo.py: all db parameters typed as Session - domain/unit_of_work.py: __aexit__ exc_type/exc_val/exc_tb typed with TracebackType - services: audit_service user_id→UUID|None, heatmap_service query/model/builder, notification_service test→Test, tempo_service test→Test/user→User, test_workflow_service test_id→UUID, campaign_crud **fields→object, test_crud **fields→object (4 sites) ANN401 — 16 Any usages resolved: - Domain entities (campaign/technique/threat_actor/test_entity): replaced Any with actual ORM types via TYPE_CHECKING guards to avoid circular imports - detection_rule_service: test_id/detection_rule_id/evaluator_id→UUID - score_cache: kept Any with # noqa: ANN401 (genuinely generic cache) - jira_service/tempo_service: kept Any with # noqa: ANN401 (lazy optional deps) - d3fend_import_service: _to_str(v: Any) kept with # noqa: ANN401 ANN204/ANN205/ANN206 — special/static/class methods: - database.py proxy __call__/__getattr__: *args: object/**kwargs: object - schemas/test.py model_validate: obj→object, **kwargs→object - sa_technique_repository._int_type→type All 439 unit tests pass. ruff check app/ → All checks passed!
106 lines
3.7 KiB
Python
106 lines
3.7 KiB
Python
"""Heatmap endpoints — ATT&CK Navigator-compatible layer generation.
|
|
|
|
Thin router that delegates entirely to :mod:`app.services.heatmap_service`.
|
|
No business logic lives here — only request validation and response
|
|
formatting.
|
|
"""
|
|
|
|
import io
|
|
import json
|
|
from typing import Optional
|
|
|
|
from fastapi import APIRouter, Depends, Query
|
|
from fastapi.responses import StreamingResponse
|
|
from sqlalchemy.orm import Session
|
|
|
|
from app.database import get_db
|
|
from app.dependencies.auth import get_current_user
|
|
from app.models.user import User
|
|
from app.services import heatmap_service
|
|
|
|
router = APIRouter(prefix="/heatmap", tags=["heatmap"])
|
|
|
|
|
|
@router.get("/coverage")
|
|
def heatmap_coverage(
|
|
platforms: Optional[str] = Query(None, description="Comma-separated platforms"),
|
|
tactics: Optional[str] = Query(None, description="Comma-separated tactics"),
|
|
min_score: int = Query(0, ge=0, le=100),
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user),
|
|
) -> dict:
|
|
"""Coverage layer — score based on status_global of each technique."""
|
|
return heatmap_service.build_coverage_layer(
|
|
db, platforms=platforms, tactics=tactics, min_score=min_score,
|
|
)
|
|
|
|
|
|
@router.get("/threat-actor/{actor_id}")
|
|
def heatmap_threat_actor(
|
|
actor_id: str,
|
|
platforms: Optional[str] = Query(None),
|
|
tactics: Optional[str] = Query(None),
|
|
min_score: int = Query(0, ge=0, le=100),
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user),
|
|
) -> dict:
|
|
"""Threat actor layer — techniques used by an actor with coverage color."""
|
|
return heatmap_service.build_threat_actor_layer(
|
|
db, actor_id, platforms=platforms, tactics=tactics, min_score=min_score,
|
|
)
|
|
|
|
|
|
@router.get("/detection-rules")
|
|
def heatmap_detection_rules(
|
|
platforms: Optional[str] = Query(None),
|
|
tactics: Optional[str] = Query(None),
|
|
min_score: int = Query(0, ge=0, le=100),
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user),
|
|
) -> dict:
|
|
"""Detection rules layer — score based on ratio of rules available vs total."""
|
|
return heatmap_service.build_detection_rules_layer(
|
|
db, platforms=platforms, tactics=tactics, min_score=min_score,
|
|
)
|
|
|
|
|
|
@router.get("/campaign/{campaign_id}")
|
|
def heatmap_campaign(
|
|
campaign_id: str,
|
|
platforms: Optional[str] = Query(None),
|
|
tactics: Optional[str] = Query(None),
|
|
min_score: int = Query(0, ge=0, le=100),
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user),
|
|
) -> dict:
|
|
"""Campaign layer — only techniques in the campaign, colored by test state."""
|
|
return heatmap_service.build_campaign_layer(
|
|
db, campaign_id, platforms=platforms, tactics=tactics, min_score=min_score,
|
|
)
|
|
|
|
|
|
@router.get("/export-navigator")
|
|
def export_navigator(
|
|
layer: str = Query(..., description="Layer type: coverage, threat-actor, detection-rules, campaign"),
|
|
layer_id: Optional[str] = Query(None, description="Actor ID or Campaign ID (if applicable)"),
|
|
platforms: Optional[str] = Query(None),
|
|
tactics: Optional[str] = Query(None),
|
|
min_score: int = Query(0, ge=0, le=100),
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user),
|
|
) -> StreamingResponse:
|
|
"""Export a heatmap layer as a downloadable JSON file for ATT&CK Navigator."""
|
|
data = heatmap_service.build_navigator_export(
|
|
db, layer, layer_id=layer_id,
|
|
platforms=platforms, tactics=tactics, min_score=min_score,
|
|
)
|
|
|
|
json_content = json.dumps(data, indent=2, default=str)
|
|
buffer = io.BytesIO(json_content.encode("utf-8"))
|
|
|
|
return StreamingResponse(
|
|
buffer,
|
|
media_type="application/json",
|
|
headers={"Content-Disposition": f"attachment; filename=aegis_{layer}_layer.json"},
|
|
)
|