from __future__ import annotations

import unittest

import szl_brainhealth as health


class BrainHealthWiringTests(unittest.TestCase):
    def test_real_sibling_entrypoints_and_call_styles_are_explicit(self) -> None:
        specs = {row["key"]: row for row in health.COMPONENTS}
        self.assertEqual(specs["freshness"]["funcs"], ("build_aggregate",))
        self.assertEqual(specs["provenance"]["call_style"], "ns_q_k")
        self.assertEqual(specs["contradiction"]["funcs"], ("run_detection",))
        self.assertEqual(specs["uncertainty"]["funcs"], ("handle_uncertainty",))

    def test_uncertainty_is_inverted_to_trust_direction(self) -> None:
        payload = health._normalize_component_payload(
            "uncertainty",
            {"label": "MODELED", "verdict": "HIGHLY-UNCERTAIN", "uncertainty": 0.91, "abstain_recommended": True},
        )
        self.assertEqual(payload["trust_value"], 0.09)
        self.assertTrue(payload["abstain"])

    def test_descriptive_prose_does_not_create_a_false_adverse_signal(self) -> None:
        payload = {
            "label": "MODELED",
            "verdict": "WEAK-GROUNDING",
            "should_abstain": False,
            "note": "the system abstains only when evidence is insufficient",
        }
        self.assertIsNone(health._detect_adverse(payload, ("ungrounded",)))

    def test_freshness_uses_real_node_distribution(self) -> None:
        payload = health._normalize_component_payload(
            "freshness",
            {"label": "MEASURED", "node_count": 100, "verdict_counts": {"FRESH": 5, "AGING": 15, "STALE": 80}},
        )
        self.assertEqual(payload["trust_value"], 0.2)
        self.assertTrue(payload["stale_dominant"])
        self.assertEqual(payload["verdict"], "STALE-DOMINANT")


if __name__ == "__main__":
    unittest.main()