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.
This commit is contained in:
kitos
@@ -7,120 +7,202 @@ technique/test-count pattern by using a single grouped query.
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This module is framework-agnostic: no FastAPI 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 datetime from datetime
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from datetime import datetime
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# Import func from sqlalchemy
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from sqlalchemy import func
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# Import Session from sqlalchemy.orm
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from sqlalchemy.orm import Session
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# Import Technique from app.models.technique
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from app.models.technique import Technique
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# Import Test from app.models.test
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from app.models.test import Test
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# Import escape_like from app.utils
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from app.utils import escape_like
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# Define function _technique_test_counts
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def _technique_test_counts(
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# Entry: db
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db: Session,
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# Entry: technique_ids
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technique_ids: list,
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) -> dict:
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"""Return ``{technique_id: {state_str: count}}`` in a single query."""
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# Check: not technique_ids
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if not technique_ids:
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# Return {}
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return {}
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# Assign rows = (
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rows = (
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db.query(Test.technique_id, Test.state, func.count(Test.id))
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# Chain .filter() call
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.filter(Test.technique_id.in_(technique_ids))
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# Chain .group_by() call
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.group_by(Test.technique_id, Test.state)
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# Chain .all() call
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.all()
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)
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# Assign result = {}
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result: dict = {}
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# Iterate over rows
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for tid, state, count in rows:
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# Call result.setdefault()
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result.setdefault(tid, {})[str(state)] = count
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# Return result
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return result
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# Define function build_coverage_summary
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def build_coverage_summary(
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# Entry: db
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db: Session,
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*,
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# Entry: tactic
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tactic: str | None = None,
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# Entry: platform
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platform: str | None = None,
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) -> dict:
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"""Build the full coverage summary report as a dict."""
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# Assign query = db.query(Technique)
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query = db.query(Technique)
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# Check: tactic
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if tactic:
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# Assign query = query.filter(Technique.tactic.ilike(f"%{escape_like(tactic)}%"))
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query = query.filter(Technique.tactic.ilike(f"%{escape_like(tactic)}%"))
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# Assign techniques = query.order_by(Technique.mitre_id).all()
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techniques = query.order_by(Technique.mitre_id).all()
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# Assign counts_map = _technique_test_counts(db, [t.id for t in techniques])
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counts_map = _technique_test_counts(db, [t.id for t in techniques])
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# Assign rows = []
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rows = []
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# Iterate over techniques
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for t in techniques:
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# Check: platform and platform.lower() not in [p.lower() for p in (t.platfor...
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if platform and platform.lower() not in [p.lower() for p in (t.platforms or [])]:
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# Skip to the next loop iteration
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continue
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# Assign counts = counts_map.get(t.id, {})
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counts = counts_map.get(t.id, {})
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# Call rows.append()
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rows.append({
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# Literal argument value
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"mitre_id": t.mitre_id,
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# Literal argument value
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"name": t.name,
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# Literal argument value
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"tactic": t.tactic,
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# Literal argument value
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"platforms": t.platforms,
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# Literal argument value
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"status_global": t.status_global,
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# Literal argument value
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"total_tests": sum(counts.values()),
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# Literal argument value
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"tests_by_state": counts,
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})
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# Assign total = len(rows)
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total = len(rows)
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# Assign validated = sum(1 for r in rows if r["status_global"] == "validated")
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validated = sum(1 for r in rows if r["status_global"] == "validated")
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# Assign partial = sum(1 for r in rows if r["status_global"] == "partial")
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partial = sum(1 for r in rows if r["status_global"] == "partial")
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# Assign not_covered = sum(1 for r in rows if r["status_global"] == "not_covered")
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not_covered = sum(1 for r in rows if r["status_global"] == "not_covered")
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# Assign in_progress = sum(1 for r in rows if r["status_global"] == "in_progress")
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in_progress = sum(1 for r in rows if r["status_global"] == "in_progress")
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# Assign not_evaluated = sum(1 for r in rows if r["status_global"] == "not_evaluated")
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not_evaluated = sum(1 for r in rows if r["status_global"] == "not_evaluated")
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# Return {
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return {
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# Literal argument value
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"generated_at": datetime.utcnow().isoformat(),
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# Literal argument value
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"summary": {
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# Literal argument value
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"total_techniques": total,
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# Literal argument value
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"validated": validated,
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# Literal argument value
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"partial": partial,
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# Literal argument value
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"not_covered": not_covered,
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# Literal argument value
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"in_progress": in_progress,
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# Literal argument value
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"not_evaluated": not_evaluated,
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# Literal argument value
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"coverage_percentage": round((validated / total * 100) if total > 0 else 0, 1),
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},
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# Literal argument value
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"techniques": rows,
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}
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# Define function build_coverage_csv_rows
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def build_coverage_csv_rows(
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# Entry: db
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db: Session,
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*,
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# Entry: tactic
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tactic: str | None = None,
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# Entry: platform
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platform: str | None = None,
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) -> list[list]:
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"""Build rows for a CSV coverage export (header + data)."""
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# Assign query = db.query(Technique)
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query = db.query(Technique)
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# Check: tactic
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if tactic:
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# Assign query = query.filter(Technique.tactic.ilike(f"%{escape_like(tactic)}%"))
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query = query.filter(Technique.tactic.ilike(f"%{escape_like(tactic)}%"))
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# Assign techniques = query.order_by(Technique.mitre_id).all()
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techniques = query.order_by(Technique.mitre_id).all()
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# Assign counts_map = _technique_test_counts(db, [t.id for t in techniques])
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counts_map = _technique_test_counts(db, [t.id for t in techniques])
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# Assign header = [
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header = [
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# Literal argument value
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"MITRE ID", "Name", "Tactic", "Platforms", "Status",
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# Literal argument value
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"Total Tests", "Validated", "In Progress", "Not Covered",
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]
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# Assign rows = [header]
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rows = [header]
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# Assign in_progress_states = {"draft", "red_executing", "blue_evaluating", "in_review"}
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in_progress_states = {"draft", "red_executing", "blue_evaluating", "in_review"}
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# Iterate over techniques
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for t in techniques:
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# Check: platform and platform.lower() not in [p.lower() for p in (t.platfor...
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if platform and platform.lower() not in [p.lower() for p in (t.platforms or [])]:
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# Skip to the next loop iteration
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continue
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# Assign counts = counts_map.get(t.id, {})
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counts = counts_map.get(t.id, {})
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# Call rows.append()
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rows.append([
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t.mitre_id,
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t.name,
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t.tactic,
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# Literal argument value
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", ".join(t.platforms or []),
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t.status_global,
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sum(counts.values()),
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@@ -129,65 +211,111 @@ def build_coverage_csv_rows(
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counts.get("rejected", 0),
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])
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# Return rows
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return rows
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# Define function build_test_results_report
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def build_test_results_report(
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# Entry: db
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db: Session,
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*,
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# Entry: state
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state: str | None = None,
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# Entry: date_from
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date_from: str | None = None,
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# Entry: date_to
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date_to: str | None = None,
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) -> dict:
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"""Build a test results report with optional filters."""
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# Assign query = db.query(Test)
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query = db.query(Test)
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# Check: state
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if state:
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# Assign query = query.filter(Test.state == state)
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query = query.filter(Test.state == state)
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# Check: date_from
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if date_from:
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# Attempt the following; catch errors below
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try:
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# Assign query = query.filter(Test.created_at >= datetime.fromisoformat(date_from))
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query = query.filter(Test.created_at >= datetime.fromisoformat(date_from))
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# Handle ValueError
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except ValueError:
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# Intentional no-op placeholder
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pass
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# Check: date_to
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if date_to:
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# Attempt the following; catch errors below
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try:
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# Assign query = query.filter(Test.created_at <= datetime.fromisoformat(date_to))
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query = query.filter(Test.created_at <= datetime.fromisoformat(date_to))
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# Handle ValueError
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except ValueError:
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# Intentional no-op placeholder
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pass
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# Assign tests = query.order_by(Test.created_at.desc()).all()
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tests = query.order_by(Test.created_at.desc()).all()
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# Assign by_state = {}
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by_state: dict[str, int] = {}
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# Assign by_result = {}
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by_result: dict[str, int] = {}
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# Iterate over tests
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for t in tests:
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# Assign s = t.state.value if hasattr(t.state, "value") else str(t.state)
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s = t.state.value if hasattr(t.state, "value") else str(t.state)
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# Assign by_state[s] = by_state.get(s, 0) + 1
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by_state[s] = by_state.get(s, 0) + 1
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# Check: t.detection_result
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if t.detection_result:
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# Assign r = t.detection_result.value if hasattr(t.detection_result, "value") el...
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r = t.detection_result.value if hasattr(t.detection_result, "value") else str(t.detection_result)
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# Assign by_result[r] = by_result.get(r, 0) + 1
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by_result[r] = by_result.get(r, 0) + 1
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# Return {
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return {
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# Literal argument value
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"generated_at": datetime.utcnow().isoformat(),
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# Literal argument value
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"filters": {"state": state, "date_from": date_from, "date_to": date_to},
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# Literal argument value
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"summary": {
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# Literal argument value
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"total_tests": len(tests),
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# Literal argument value
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"by_state": by_state,
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# Literal argument value
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"by_detection_result": by_result,
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},
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# Literal argument value
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"tests": [
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{
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# Literal argument value
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"id": str(t.id),
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# Literal argument value
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"name": t.name,
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# Literal argument value
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"technique_id": str(t.technique_id),
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# Literal argument value
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"state": t.state.value if hasattr(t.state, "value") else str(t.state),
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# Literal argument value
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"platform": t.platform,
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# Literal argument value
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"attack_success": t.attack_success,
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# Literal argument value
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"detection_result": (
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t.detection_result.value if t.detection_result and hasattr(t.detection_result, "value")
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else str(t.detection_result) if t.detection_result else None
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),
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# Literal argument value
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"red_validation_status": t.red_validation_status,
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# Literal argument value
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"blue_validation_status": t.blue_validation_status,
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# Literal argument value
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"created_at": t.created_at.isoformat() if t.created_at else None,
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}
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for t in tests
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@@ -195,38 +323,62 @@ def build_test_results_report(
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}
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# Define function build_remediation_status_report
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def build_remediation_status_report(
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# Entry: db
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db: Session,
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*,
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# Entry: status
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status: str | None = None,
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) -> dict:
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"""Build a remediation status report."""
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# Assign query = db.query(Test).filter(Test.remediation_steps.isnot(None))
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query = db.query(Test).filter(Test.remediation_steps.isnot(None))
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# Check: status
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if status:
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# Assign query = query.filter(Test.remediation_status == status)
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query = query.filter(Test.remediation_status == status)
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# Assign tests = query.order_by(Test.created_at.desc()).all()
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tests = query.order_by(Test.created_at.desc()).all()
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# Assign by_status = {}
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by_status: dict[str, int] = {}
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# Iterate over tests
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for t in tests:
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# Assign s = t.remediation_status or "unset"
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s = t.remediation_status or "unset"
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# Assign by_status[s] = by_status.get(s, 0) + 1
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by_status[s] = by_status.get(s, 0) + 1
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# Return {
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return {
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# Literal argument value
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"generated_at": datetime.utcnow().isoformat(),
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# Literal argument value
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"summary": {
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# Literal argument value
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"total_with_remediation": len(tests),
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# Literal argument value
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"by_status": by_status,
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},
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# Literal argument value
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"tests": [
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{
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# Literal argument value
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"id": str(t.id),
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# Literal argument value
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"name": t.name,
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# Literal argument value
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"technique_id": str(t.technique_id),
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# Literal argument value
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"state": t.state.value if hasattr(t.state, "value") else str(t.state),
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# Literal argument value
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"remediation_status": t.remediation_status,
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# Literal argument value
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"remediation_steps": t.remediation_steps,
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# Literal argument value
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"remediation_assignee": str(t.remediation_assignee) if t.remediation_assignee else None,
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}
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for t in tests
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