refactor(pep8): enforce full PEP8 compliance across backend Python codebase
- ruff.toml: select E/W/F/I/N rules, line-length=120, drop legacy ignores - Auto-fix: sort 82 import blocks (isort), remove 29 unused imports, strip 6 trailing-whitespace blank lines in docstrings - main.py: move setup_logging and settings imports to top (E402) - errors.py: noqa N818 on DDD exception names (96 call sites, safe) - intel_service.py: noqa N817 for universal ET alias - atomic/elastic/sigma import services: move _MAX_UNCOMPRESSED_SIZE and _MAX_ENTRIES to module level (N806) - compliance_import_service.py: move SAMPLE_CONTROLS / CIS_CONTROLS to module level; wrap long description strings (N806 + E501) - snapshot_service.py: move STATUS_ORDER dict to module level (N806) - sigma_import_service.py: remove dead dedup_key expression (F841) - threat_actor_import_service.py: remove dead stix_to_actor expression (F841) - data_source.py, seed_demo.py, campaign_scheduler_service.py, lolbas_import_service.py: wrap lines exceeding 120 chars (E501) - d3fend_import_service.py: per-file E501 ignore (data file with long strings) All 439 unit tests pass. ruff check app/ → All checks passed! Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -10,19 +10,18 @@ never produce N+1 traffic.
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"""
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from datetime import datetime, timedelta, timezone
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from typing import Optional
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from sqlalchemy import case, func
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from sqlalchemy.orm import Session
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from app.domain.errors import EntityNotFoundError
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from app.models.defensive_technique import DefensiveTechniqueMapping
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from app.models.detection_rule import DetectionRule
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from app.models.enums import TestResult, TestState
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from app.models.technique import Technique
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from app.models.test import Test
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from app.models.detection_rule import DetectionRule
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from app.models.test_detection_result import TestDetectionResult
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from app.models.defensive_technique import DefensiveTechniqueMapping
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from app.models.threat_actor import ThreatActor, ThreatActorTechnique
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from app.models.enums import TestState, TestResult
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from app.services.scoring_config_service import get_scoring_weights
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_SEVERITY_FACTORS: dict[str, float] = {
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@@ -659,7 +658,6 @@ def get_score_history(db: Session, period: str = "90d") -> list:
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computing scores based on test dates within time windows.
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Returns a list of weekly data points.
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"""
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from app.models.audit import AuditLog
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now = datetime.utcnow()
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if period == "30d":
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