"""Phase 12: Decision engine.

Apply deterministic action thresholds to produce final actions.
"""

from __future__ import annotations

from typing import Any


HIGH_RISK_THRESHOLD = 66.6666
MEDIUM_RISK_THRESHOLD = 33.3333


def risk_band(risk_score: float) -> str:
    if risk_score >= HIGH_RISK_THRESHOLD:
        return "HIGH"
    if risk_score >= MEDIUM_RISK_THRESHOLD:
        return "MEDIUM"
    return "LOW"


def decide_action(risk_score: float) -> str:
    band = risk_band(risk_score)
    if band == "HIGH":
        return "BLOCK"
    if band == "MEDIUM":
        return "MFA"
    return "APPROVE"


def build_decision_output(
    *,
    transaction_id: str | None,
    classification: str,
    fraud_probability: float,
    risk_score: float,
    fraud_threshold: float,
    suspicious_threshold: float,
    explainability: dict[str, Any],
) -> dict[str, Any]:
    band = risk_band(risk_score)
    action = decide_action(risk_score)

    top_positive = explainability.get("top_positive_signals", [])
    top_signal = top_positive[0] if top_positive else None

    rationale = f"Risk band {band} maps deterministically to action {action}."
    if top_signal is not None:
        label = str(top_signal.get("label", top_signal.get("feature", "top signal")))
        rationale = f"Risk band {band} maps to {action}; strongest risk driver: {label}."

    return {
        "transaction_id": transaction_id,
        "action": action,
        "risk_band": band,
        "risk_score": round(float(risk_score), 2),
        "classification": classification,
        "fraud_probability": round(float(fraud_probability), 6),
        "policy": {
            "name": "phase12_deterministic_thresholds",
            "high_risk_threshold": HIGH_RISK_THRESHOLD,
            "medium_risk_threshold": MEDIUM_RISK_THRESHOLD,
            "fraud_threshold": round(float(fraud_threshold), 6),
            "suspicious_threshold": round(float(suspicious_threshold), 6),
        },
        "rationale": rationale,
        "recommended_next_step": "manual_review" if action == "MFA" else "finalize",
    }


def phase_status() -> str:
    return "phase 12 decision engine implemented"