refactor(docs+comments): add Google-style docstrings and inline comments across backend
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.
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kitos
@@ -1,121 +1,202 @@
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"""Scoring configuration persistence service."""
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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 Any from typing
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from typing import Any
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# Import Session from sqlalchemy.orm
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from sqlalchemy.orm import Session
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# Import settings from app.config
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from app.config import settings
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# Import ScoringWeights from app.domain.value_objects.scoring_weights
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from app.domain.value_objects.scoring_weights import ScoringWeights
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# Import ScoringConfig from app.models.scoring_config
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from app.models.scoring_config import ScoringConfig
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# Define function _row_recency
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def _row_recency(row: ScoringConfig) -> float:
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# Return float(getattr(row, "weight_recency", None) or getattr(row, "weight_...
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return float(getattr(row, "weight_recency", None) or getattr(row, "weight_freshness", 10.0))
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# Define function _row_severity
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def _row_severity(row: ScoringConfig) -> float:
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# Return float(
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return float(
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getattr(row, "weight_severity", None)
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or getattr(row, "weight_platform_diversity", 10.0)
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)
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# Define function get_scoring_weights
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def get_scoring_weights(db: Session) -> ScoringWeights:
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"""Return the active scoring weights from the database or env defaults."""
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# Assign row = db.query(ScoringConfig).first()
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row = db.query(ScoringConfig).first()
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# Check: row is not None
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if row is not None:
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# Return ScoringWeights(
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return ScoringWeights(
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# Keyword argument: tests
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tests=row.weight_tests,
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# Keyword argument: detection_rules
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detection_rules=row.weight_detection_rules,
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# Keyword argument: d3fend
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d3fend=row.weight_d3fend,
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# Keyword argument: recency
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recency=_row_recency(row),
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# Keyword argument: severity
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severity=_row_severity(row),
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)
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# Return ScoringWeights(
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return ScoringWeights(
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# Keyword argument: tests
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tests=float(settings.SCORING_WEIGHT_TESTS),
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# Keyword argument: detection_rules
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detection_rules=float(settings.SCORING_WEIGHT_DETECTION_RULES),
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# Keyword argument: d3fend
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d3fend=float(settings.SCORING_WEIGHT_D3FEND),
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# Keyword argument: recency
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recency=float(
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getattr(settings, "SCORING_WEIGHT_RECENCY", settings.SCORING_WEIGHT_FRESHNESS)
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),
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# Keyword argument: severity
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severity=float(
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getattr(settings, "SCORING_WEIGHT_SEVERITY", settings.SCORING_WEIGHT_PLATFORM_DIVERSITY)
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),
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)
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# Define function update_scoring_weights
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def update_scoring_weights(
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# Entry: db
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db: Session,
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*,
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# Entry: tests
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tests: float | None = None,
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# Entry: detection_rules
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detection_rules: float | None = None,
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# Entry: d3fend
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d3fend: float | None = None,
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# Entry: recency
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recency: float | None = None,
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# Entry: severity
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severity: float | None = None,
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# Entry: freshness
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freshness: float | None = None,
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# Entry: platform_diversity
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platform_diversity: float | None = None,
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# Entry: updated_by
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updated_by: uuid.UUID | None = None,
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) -> dict[str, Any]:
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"""Upsert scoring weights. Does not commit."""
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# Check: freshness is not None and recency is None
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if freshness is not None and recency is None:
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# Assign recency = freshness
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recency = freshness
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# Check: platform_diversity is not None and severity is None
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if platform_diversity is not None and severity is None:
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# Assign severity = platform_diversity
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severity = platform_diversity
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# Assign current = get_scoring_weights(db)
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current = get_scoring_weights(db)
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# Assign new = ScoringWeights(
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new = ScoringWeights(
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# Keyword argument: tests
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tests=tests if tests is not None else current.tests,
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# Keyword argument: detection_rules
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detection_rules=detection_rules if detection_rules is not None else current.detection_rules,
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# Keyword argument: d3fend
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d3fend=d3fend if d3fend is not None else current.d3fend,
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# Keyword argument: recency
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recency=recency if recency is not None else current.recency,
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# Keyword argument: severity
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severity=severity if severity is not None else current.severity,
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)
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# Assign row = db.query(ScoringConfig).first()
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row = db.query(ScoringConfig).first()
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# Check: row is None
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if row is None:
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# Assign row = ScoringConfig()
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row = ScoringConfig()
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# Stage new record(s) for database insertion
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db.add(row)
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# Assign row.weight_tests = new.tests
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row.weight_tests = new.tests
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# Assign row.weight_detection_rules = new.detection_rules
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row.weight_detection_rules = new.detection_rules
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# Assign row.weight_d3fend = new.d3fend
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row.weight_d3fend = new.d3fend
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# Check: hasattr(row, "weight_recency")
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if hasattr(row, "weight_recency"):
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# Assign row.weight_recency = new.recency
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row.weight_recency = new.recency
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# Alternative: hasattr(row, "weight_freshness")
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elif hasattr(row, "weight_freshness"):
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# Assign row.weight_freshness = new.recency
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row.weight_freshness = new.recency
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# Check: hasattr(row, "weight_severity")
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if hasattr(row, "weight_severity"):
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# Assign row.weight_severity = new.severity
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row.weight_severity = new.severity
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# Alternative: hasattr(row, "weight_platform_diversity")
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elif hasattr(row, "weight_platform_diversity"):
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# Assign row.weight_platform_diversity = new.severity
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row.weight_platform_diversity = new.severity
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# Check: updated_by is not None and hasattr(row, "updated_by")
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if updated_by is not None and hasattr(row, "updated_by"):
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# Assign row.updated_by = updated_by
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row.updated_by = updated_by
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# Return _weights_dict(new)
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return _weights_dict(new)
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# Define function get_weights_dict
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def get_weights_dict(db: Session) -> dict[str, Any]:
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"""Return current weights as a serialisable dict."""
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# Return _weights_dict(get_scoring_weights(db))
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return _weights_dict(get_scoring_weights(db))
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# Define function _weights_dict
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def _weights_dict(w: ScoringWeights) -> dict[str, Any]:
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# Assign weights = {
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weights = {
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# Literal argument value
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"tests": w.tests,
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# Literal argument value
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"detection_rules": w.detection_rules,
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# Literal argument value
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"d3fend": w.d3fend,
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# Literal argument value
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"recency": w.recency,
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# Literal argument value
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"severity": w.severity,
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# Legacy keys for older clients
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"freshness": w.recency,
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# Literal argument value
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"platform_diversity": w.severity,
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}
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# Return {
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return {
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# Literal argument value
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"weights": weights,
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# Literal argument value
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"total": sum(
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[w.tests, w.detection_rules, w.d3fend, w.recency, w.severity]
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),
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