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(2) Wir als MCP-Client zum compliance-scanner-agent: - scanner_mcp_client.fetch_findings(): streamablehttp_client + ClientSession → list_findings, parst JSON-Text zu Finding-Dicts. Config via SCANNER_MCP_URL/ SCANNER_MCP_TOKEN (unset = leer → UI behält Demo). Transport lazy-importiert. - POST /v1/cra/assess-from-scanner: rohe Scanner-Dicts → toleranter Mapper (behält scan_type/cvss_score/file_path) → assess + Breadth. - Tests: parse_findings_text + no-config-Pfad. Live-Verdrahtung der UI folgt, sobald ihr Endpoint+Token stehen (dann nur Env setzen + useCRA auf /assess-from-scanner zeigen). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
262 lines
11 KiB
Python
262 lines
11 KiB
Python
"""Standalone CRA cyber risk-assessment endpoint.
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POST /api/v1/cra/assess — takes the findings the external repo-scanner already
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produced and returns the deterministic CRA assessment: each finding mapped to
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the CRA Annex I requirement(s) it violates, a risk level, the curated CRA
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measures, and the NIST 800-53 / OWASP Top 10 golden-set crosswalk.
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Project-less by design: works standalone for ANY customer — including those with
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no CE risk assessment and no FMEA yet (the mandatory baseline). Reuses the fully
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tested mapper; no DB, no LLM, no RAG. Same logic the MCP server exposes.
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"""
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from typing import Dict, List, Optional
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from fastapi import APIRouter, Depends, HTTPException
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from pydantic import BaseModel
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from compliance.services.cra_finding_mapper import assess_findings_payload
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from compliance.services.scanner_mcp_client import fetch_findings
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from compliance.services.cra_snapshot_store import save_snapshot, list_snapshots, get_snapshot
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from compliance.services.cra_use_case_controls import enrich_findings_with_breadth
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from compliance.services.cra_component_findings import findings_from_components
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from compliance.api.cra_annex_i_data import ANNEX_I_REQUIREMENTS, MEASURES, DEADLINES
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from compliance.api.cra_routes import _classify # reuse the deterministic Annex III/IV classifier
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from compliance.services.use_case_controls import UseCaseControlsService
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from database import SessionLocal
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from .tenant_utils import get_tenant_id
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router = APIRouter(prefix="/v1/cra", tags=["cra"])
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class FindingIn(BaseModel):
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id: str
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title: Optional[str] = ""
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description: Optional[str] = ""
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category: Optional[str] = ""
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cwe: Optional[str] = ""
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severity: Optional[str] = ""
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cvss: Optional[float] = None
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location: Optional[str] = ""
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safety_impact: Optional[bool] = False
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exploited: Optional[bool] = False
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class SafetyFunctionIn(BaseModel):
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name: str
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hazard: Optional[str] = ""
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original_measure: Optional[str] = ""
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kind: Optional[str] = "" # prevent_unexpected_actuation | signal_integrity
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vulnerable_to: Optional[List[str]] = None
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class ComponentIn(BaseModel):
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name: str
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component_class: Optional[str] = "" # controller | hmi | gateway | drive | remote_access | sensor
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networked: Optional[bool] = False
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vendor: Optional[str] = ""
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product: Optional[str] = ""
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class AssessRequest(BaseModel):
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findings: List[FindingIn] = []
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# customer priorities for the discretionary tier: {objective: high|medium|low}.
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# objectives: access | data | network_api | supply_updates | monitoring.
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weights: Optional[Dict[str, str]] = None
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# CE-risk-assessment safety functions for the cyber-meets-safety bridge.
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safety_functions: Optional[List[SafetyFunctionIn]] = None
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# hardware path: networked components -> derived cyber findings (no repo).
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components: Optional[List[ComponentIn]] = None
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def _payload(body: AssessRequest) -> dict:
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findings = [f.model_dump() for f in body.findings]
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if body.components:
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findings = findings + findings_from_components([c.model_dump() for c in body.components])
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return {
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"findings": findings,
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"weights": body.weights,
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"safety_functions": [s.model_dump() for s in body.safety_functions] if body.safety_functions else None,
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}
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def _assess_enriched(body: AssessRequest) -> dict:
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"""Assessment + the network_security regulatory breadth (atom-grain).
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Breadth is attached at this view layer (db here), never in the pure mapper.
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"""
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result = assess_findings_payload(_payload(body))
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db = SessionLocal()
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try:
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enrich_findings_with_breadth(result.get("mapped", []), db)
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finally:
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db.close()
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return result
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@router.post("/assess")
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async def assess(body: AssessRequest):
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return _assess_enriched(body)
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class ScannerPullRequest(BaseModel):
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repo_id: Optional[str] = None
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severity: Optional[str] = None
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scanner_url: Optional[str] = None # override SCANNER_MCP_URL
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token: Optional[str] = None # override SCANNER_MCP_TOKEN
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weights: Optional[Dict[str, str]] = None
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safety_functions: Optional[List[SafetyFunctionIn]] = None
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@router.post("/assess-from-scanner")
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async def assess_from_scanner(body: ScannerPullRequest):
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"""Pull-flow: fetch findings from the scanner's MCP, then assess.
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Raw scanner finding dicts go straight to the tolerant mapper (keeps
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scan_type/cvss_score/file_path). Returns empty assessment if no scanner is
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configured — the frontend then keeps its demo scenario.
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"""
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findings = await fetch_findings(
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repo_id=body.repo_id, severity=body.severity,
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base_url=body.scanner_url, token=body.token,
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)
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payload = {
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"findings": findings,
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"weights": body.weights,
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"safety_functions": [s.model_dump() for s in body.safety_functions] if body.safety_functions else None,
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}
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result = assess_findings_payload(payload)
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db = SessionLocal()
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try:
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enrich_findings_with_breadth(result.get("mapped", []), db)
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finally:
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db.close()
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result["source"] = {"scanner": True, "pulled": len(findings)}
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return result
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@router.post("/projects/{project_id}/assess-snapshot")
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async def assess_snapshot(project_id: str, body: AssessRequest, tenant_id: str = Depends(get_tenant_id)):
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"""Run the assessment and persist it as a versioned snapshot (running system)."""
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assessment = _assess_enriched(body)
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snap = save_snapshot(project_id, tenant_id, assessment)
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return {"snapshot": snap, "assessment": assessment}
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@router.get("/projects/{project_id}/assess-snapshots")
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async def list_assess_snapshots(project_id: str, tenant_id: str = Depends(get_tenant_id)):
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return {"snapshots": list_snapshots(project_id, tenant_id)}
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@router.get("/assess-snapshots/{snapshot_id}")
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async def get_assess_snapshot(snapshot_id: str, tenant_id: str = Depends(get_tenant_id)):
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snap = get_snapshot(snapshot_id, tenant_id)
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if not snap:
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raise HTTPException(status_code=404, detail="Snapshot not found")
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return snap
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# --- Lead-magnet readiness check (stateless, no project, no DB) ---
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class ReadinessRequest(BaseModel):
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intended_use: Optional[str] = ""
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connected_to_internet: Optional[bool] = False
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has_software_updates: Optional[bool] = False
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processes_personal_data: Optional[bool] = False
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is_critical_infra_supplier: Optional[bool] = False
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has_firmware: Optional[bool] = False
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remote_maintenance: Optional[bool] = False # implies connectivity + updates
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user_parameter_app: Optional[bool] = False # implies connectivity + updates
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is_machinery: Optional[bool] = False # CE machinery -> also Machinery Reg 2023/1230
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# CRA Annex I evidence_type -> guideline bucket (Code / Prozess / Dokumentation).
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_GUIDELINE_BUCKET = {"code": "code", "hybrid": "code", "process": "process", "document": "document"}
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_PATH_HINT = {
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"CRITICAL": "Benannte Stelle (Modul B+C/H) oder EUCC — keine Selbstbewertung",
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"IMPORTANT_II": "Benannte Stelle (Modul B+C/H) oder EUCC — keine Selbstbewertung",
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"IMPORTANT_I": "Selbstbewertung nur mit harmonisierter Norm (noch nicht verfuegbar), sonst benannte Stelle/EUCC",
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"STANDARD": "Selbstbewertung (Modul A)",
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"NOT_IN_SCOPE": "—",
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}
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# Machinery Regulation 2023/1230 cyber-with-safety obligations come from the shared
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# Controls-API (use_case=maschinen, atom-grain, license-clean) — NOT hardcoded.
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# Cyber-relevant sub-topics -> guideline bucket.
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_MACHINERY_SUBTOPICS = [
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("sicherheitsanforderungen", "code"),
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("risikomanagement", "process"),
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("konformitaetsbewertung", "document"),
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]
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def _machinery_obligations(limit_per: int = 4) -> list:
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"""(bucket, guideline_item) tuples from use_case=maschinen. Best-effort."""
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out = []
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db = SessionLocal()
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try:
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svc = UseCaseControlsService(db)
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for sub_topic, bucket in _MACHINERY_SUBTOPICS:
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try:
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res = svc.controls_for_use_case("maschinen", sub_topic=sub_topic, limit=limit_per)
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except Exception:
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continue
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for c in res.get("controls", []):
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out.append((bucket, {
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"req_id": c.get("control_id"), "title": c.get("title"), "category": sub_topic,
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"annex_anchor": c.get("source_regulation", "Maschinenverordnung (EU) 2023/1230"),
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"severity": (c.get("severity") or "").upper(), "effort_days": None,
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"measures": [], "source": "Maschinen-VO",
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}))
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finally:
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db.close()
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return out
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@router.post("/readiness")
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async def readiness(body: ReadinessRequest):
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"""Low-friction CRA readiness check: business-scope answers -> Annex III/IV
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classification + a high-level guideline grouped Code / Prozess / Dokumentation.
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Reuses the deterministic classifier + Annex I spine. No project, no DB."""
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intake = {
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"intended_use": body.intended_use,
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"connected_to_internet": bool(body.connected_to_internet or body.remote_maintenance or body.user_parameter_app),
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"has_software_updates": bool(body.has_software_updates or body.remote_maintenance or body.user_parameter_app),
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"processes_personal_data": bool(body.processes_personal_data),
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"is_critical_infra_supplier": bool(body.is_critical_infra_supplier),
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}
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classification, rationale = _classify(intake)
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in_scope = classification != "NOT_IN_SCOPE"
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groups = {"code": [], "process": [], "document": []}
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regulations = []
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if in_scope:
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regulations.append("CRA")
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for req in ANNEX_I_REQUIREMENTS:
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bucket = _GUIDELINE_BUCKET.get(req.get("evidence_type", "process"), "process")
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groups[bucket].append({
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"req_id": req["req_id"], "title": req["title"], "category": req["category"],
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"annex_anchor": req["annex_anchor"], "severity": req["severity"],
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"effort_days": req.get("effort_days"),
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"measures": [{"id": m, "name": MEASURES.get(m, m)} for m in req.get("mapped_measures", [])],
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"source": "CRA",
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})
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# Machine/plant builders are ALSO hit by the new Machinery Regulation's
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# cyber-with-safety essential requirements (Annex III) — show the combination.
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if body.is_machinery:
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machinery = _machinery_obligations()
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if machinery:
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regulations.append("Maschinen-VO 2023/1230")
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for bucket, item in machinery:
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groups[bucket].append(item)
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total_effort = sum(r["effort_days"] for g in groups.values() for r in g if r.get("effort_days"))
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return {
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"in_scope": in_scope,
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"classification": classification,
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"rationale": rationale,
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"conformity_path_hint": _PATH_HINT.get(classification, ""),
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"regulations": regulations,
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"guideline": groups,
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"counts": {k: len(v) for k, v in groups.items()},
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"total_effort_days": total_effort,
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"deadlines": list(DEADLINES),
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}
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