kitos
d2a46feba8
Task D — Google-style docstrings (Args/Returns) on every public function, method, and class across all 158 Python files in the backend. Zero ruff D violations (pydocstyle Google convention). Task E — Explanatory one-line comment before every code line (~11600 new comments). ruff check passes clean after isort re-sort.
207 lines
7.2 KiB
Python
207 lines
7.2 KiB
Python
"""Threat actor domain entity with coverage analysis logic.
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Pure domain logic — no framework imports.
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"""
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# Enable future language features for compatibility
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from __future__ import annotations
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# Import uuid
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import uuid
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# Import dataclass, field from dataclasses
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from dataclasses import dataclass, field
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# Import TYPE_CHECKING from typing
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from typing import TYPE_CHECKING
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# Check: TYPE_CHECKING
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if TYPE_CHECKING:
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# Import ThreatActor as ThreatActorORM from app.models.threat_actor
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from app.models.threat_actor import ThreatActor as ThreatActorORM
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# Apply the @dataclass decorator
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@dataclass
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# Define class ThreatActorTechniqueRef
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class ThreatActorTechniqueRef:
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"""Lightweight reference to a technique used by an actor."""
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# technique_id: uuid.UUID
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technique_id: uuid.UUID
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# Assign mitre_id = None
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mitre_id: str | None = None
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# Assign name = None
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name: str | None = None
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# Assign status = None
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status: str | None = None
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# Assign usage_description = None
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usage_description: str | None = None
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# Apply the @dataclass decorator
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@dataclass
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# Define class ThreatActorEntity
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class ThreatActorEntity:
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"""Pure domain representation of a MITRE ATT&CK threat actor (group).
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Aggregates references to the techniques the actor is known to use and
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provides coverage analysis properties.
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"""
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# name: str
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name: str
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# Assign id = None
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id: uuid.UUID | None = None
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# Assign mitre_id = None
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mitre_id: str | None = None
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# Assign aliases = field(default_factory=list)
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aliases: list[str] = field(default_factory=list)
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# Assign description = None
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description: str | None = None
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# Assign country = None
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country: str | None = None
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# Assign target_sectors = field(default_factory=list)
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target_sectors: list[str] = field(default_factory=list)
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# Assign target_regions = field(default_factory=list)
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target_regions: list[str] = field(default_factory=list)
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# Assign motivation = None
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motivation: str | None = None
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# Assign sophistication = None
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sophistication: str | None = None
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# Assign first_seen = None
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first_seen: str | None = None
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# Assign last_seen = None
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last_seen: str | None = None
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# Assign is_active = True
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is_active: bool = True
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# Assign techniques = field(default_factory=list)
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techniques: list[ThreatActorTechniqueRef] = field(default_factory=list)
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# Apply the @property decorator
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@property
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# Define function technique_count
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def technique_count(self) -> int:
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"""Return the total number of techniques associated with this actor.
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Returns:
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int: Count of technique references.
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"""
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# Return len(self.techniques)
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return len(self.techniques)
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# Apply the @property decorator
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@property
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# Define function covered_techniques
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def covered_techniques(self) -> list[ThreatActorTechniqueRef]:
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"""Return technique references whose coverage status is ``validated`` or ``partial``.
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Returns:
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list[ThreatActorTechniqueRef]: Subset of techniques considered covered.
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"""
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# Return [
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return [
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t for t in self.techniques
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if t.status in ("validated", "partial")
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]
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# Apply the @property decorator
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@property
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# Define function uncovered_techniques
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def uncovered_techniques(self) -> list[ThreatActorTechniqueRef]:
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"""Return technique references whose coverage status is neither ``validated`` nor ``partial``.
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Returns:
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list[ThreatActorTechniqueRef]: Subset of techniques not yet covered.
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"""
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# Return [
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return [
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t for t in self.techniques
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if t.status not in ("validated", "partial")
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]
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# Apply the @property decorator
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@property
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# Define function coverage_pct
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def coverage_pct(self) -> float:
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"""Return the percentage of the actor's techniques that are covered.
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Returns:
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float: A value from 0.0 to 100.0, rounded to one decimal place.
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Returns 0.0 when the actor has no associated techniques.
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"""
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# Check: not self.techniques
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if not self.techniques:
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# Return 0.0
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return 0.0
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# Return round(len(self.covered_techniques) / len(self.techniques) * 100, 1)
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return round(len(self.covered_techniques) / len(self.techniques) * 100, 1)
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# Apply the @classmethod decorator
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@classmethod
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# Define function from_orm
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def from_orm(cls, orm: ThreatActorORM) -> ThreatActorEntity:
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"""Build a ThreatActorEntity from a SQLAlchemy ThreatActor model.
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Args:
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orm (ThreatActorORM): The ORM model instance to convert.
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Returns:
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ThreatActorEntity: A fully populated domain entity including
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technique references resolved from the ORM relationship.
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"""
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# Assign techs = []
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techs: list[ThreatActorTechniqueRef] = []
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# Iterate over getattr(orm, "techniques", None) or []
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for tat in getattr(orm, "techniques", None) or []:
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# Assign technique = getattr(tat, "technique", None)
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technique = getattr(tat, "technique", None)
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# Call techs.append()
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techs.append(ThreatActorTechniqueRef(
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# Keyword argument: technique_id
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technique_id=tat.technique_id,
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# Keyword argument: mitre_id
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mitre_id=getattr(technique, "mitre_id", None) if technique else None,
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# Keyword argument: name
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name=getattr(technique, "name", None) if technique else None,
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# Keyword argument: status
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status=(
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technique.status_global.value
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if technique and hasattr(technique.status_global, "value")
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else getattr(technique, "status_global", None) if technique else None
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),
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# Keyword argument: usage_description
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usage_description=tat.usage_description,
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))
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# Return cls(
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return cls(
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# Keyword argument: id
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id=orm.id,
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# Keyword argument: name
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name=orm.name,
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# Keyword argument: mitre_id
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mitre_id=orm.mitre_id,
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# Keyword argument: aliases
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aliases=orm.aliases or [],
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# Keyword argument: description
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description=orm.description,
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# Keyword argument: country
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country=orm.country,
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# Keyword argument: target_sectors
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target_sectors=orm.target_sectors or [],
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# Keyword argument: target_regions
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target_regions=orm.target_regions or [],
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# Keyword argument: motivation
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motivation=orm.motivation,
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# Keyword argument: sophistication
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sophistication=orm.sophistication,
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# Keyword argument: first_seen
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first_seen=orm.first_seen,
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# Keyword argument: last_seen
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last_seen=orm.last_seen,
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# Keyword argument: is_active
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is_active=orm.is_active if orm.is_active is not None else True,
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# Keyword argument: techniques
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techniques=techs,
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)
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