"""Onboarding Advisor endpoint — exposes the existing Smart Onboarding Advisor at runtime. This adds NO new reasoning logic. It exposes the already-built, tested orchestration (Signal Producers -> Normalizer -> Silent Knowledge Pass -> Advisor) through one runtime endpoint. No DB, no persistence. POST /onboarding/advisor-start — (company + certs + target + scanner findings) -> advisory payload GET /onboarding/targets — the supported target ids """ import logging from typing import List, Optional from fastapi import APIRouter, HTTPException from pydantic import BaseModel, Field from compliance.onboarding import ( AdvisorMeasure, AdvisorQuestion, InferredAssumption, ProducedSignal, RejectedAssumption, ) from compliance.services.onboarding_service import run_advisor, supported_targets logger = logging.getLogger(__name__) router = APIRouter(prefix="/onboarding", tags=["onboarding"]) class OnboardingAdvisorRequest(BaseModel): company: str = "" industry: Optional[str] = None products: List[str] = Field(default_factory=list) markets: List[str] = Field(default_factory=list) certifications: List[str] = Field(default_factory=list) known_evidence: List[str] = Field(default_factory=list) target: str = "CRA" scanner_findings: List[ProducedSignal] = Field(default_factory=list) # adapters upstream produced these class AdvisorResponse(BaseModel): silent_intake_summary: str = "" headline: str = "" auto_detected: List[str] = Field(default_factory=list) indications: List[str] = Field(default_factory=list) # partial signal: raises strength, still asked inferred_assumptions: List[InferredAssumption] = Field(default_factory=list) rejected_assumptions: List[RejectedAssumption] = Field(default_factory=list) top_5_questions: List[AdvisorQuestion] = Field(default_factory=list) capability_delta: List[str] = Field(default_factory=list) top_measures: List[AdvisorMeasure] = Field(default_factory=list) evidence_requests: List[str] = Field(default_factory=list) unsupported_domains: List[str] = Field(default_factory=list) completeness_summary: str = "" @router.get("/targets") def list_targets() -> dict: return {"targets": supported_targets()} @router.post("/advisor-start", response_model=AdvisorResponse) def advisor_start_endpoint(req: OnboardingAdvisorRequest) -> AdvisorResponse: if req.target not in supported_targets(): raise HTTPException(status_code=404, detail="unsupported target '%s'; supported: %s" % (req.target, supported_targets())) result, si_summary = run_advisor( company=req.company, certifications=req.certifications, target=req.target, signals=req.scanner_findings, known_evidence=req.known_evidence, products=req.products, markets=req.markets, industry=req.industry or "") return AdvisorResponse( silent_intake_summary=si_summary, headline=result.headline, auto_detected=result.auto_detected, indications=result.indications, inferred_assumptions=result.inferred_assumptions, rejected_assumptions=result.rejected_assumptions, top_5_questions=result.next_best_questions, capability_delta=result.capability_delta, top_measures=result.top_measures, evidence_requests=result.evidence_requests, unsupported_domains=result.unsupported_domains, completeness_summary=result.completeness_summary)