kitos
ec26183e2e
- 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>
85 lines
2.5 KiB
Python
85 lines
2.5 KiB
Python
"""In-memory TTL cache for expensive scoring and metrics calculations.
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The cache is a simple dict with timestamps. It is invalidated when tests
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are validated, scores change, or an explicit ``invalidate`` call is made.
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Thread-safe: each worker process has its own dict, and the TTL ensures
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stale data does not persist longer than ``CACHE_TTL`` seconds.
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"""
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import time
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from typing import Any, Optional
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CACHE_TTL = 300 # 5 minutes
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_cache: dict[str, dict[str, Any]] = {}
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def get(key: str) -> Optional[Any]:
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"""Return cached value if present and not expired, else None."""
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entry = _cache.get(key)
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if entry is None:
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return None
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if time.time() - entry["ts"] > CACHE_TTL:
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_cache.pop(key, None)
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return None
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return entry["data"]
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def put(key: str, data: Any) -> None:
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"""Store *data* under *key* with the current timestamp."""
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_cache[key] = {"data": data, "ts": time.time()}
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def invalidate(key: Optional[str] = None) -> None:
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"""Remove one key or clear the whole cache."""
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if key is None:
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_cache.clear()
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else:
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_cache.pop(key, None)
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# ── High-level helpers ────────────────────────────────────────────────
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def get_organization_score_cached(db):
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"""Cached wrapper around ``calculate_organization_score``."""
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from app.services.scoring_service import calculate_organization_score
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cached = get("org_score")
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if cached is not None:
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return cached
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result = calculate_organization_score(db)
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put("org_score", result)
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return result
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def get_operational_metrics_cached(db):
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"""Cached wrapper around operational metrics (MTTD, MTTR, efficacy)."""
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from app.services.operational_metrics_service import (
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calculate_alert_fidelity,
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calculate_coverage_velocity,
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calculate_detection_efficacy,
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calculate_mttd,
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calculate_mttr,
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calculate_rejection_rate,
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calculate_validation_throughput,
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)
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cached = get("op_metrics")
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if cached is not None:
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return cached
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result = {
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"mttd": calculate_mttd(db),
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"mttr": calculate_mttr(db),
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"detection_efficacy": calculate_detection_efficacy(db),
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"alert_fidelity": calculate_alert_fidelity(db),
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"coverage_velocity": calculate_coverage_velocity(db),
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"validation_throughput": calculate_validation_throughput(db),
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"rejection_rate": calculate_rejection_rate(db),
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}
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put("op_metrics", result)
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return result
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