import json
import re

import pytest

from sovereign_bench.engine import JUDGE_NAME, JUROR_PERSONAS, RequiredModelError, run_trial
from sovereign_bench.llm import ModelCall, ModelResult
from sovereign_bench.models import TrialRequest


def _jury_json(evidence_summary: str, vote: str = "liable") -> str:
    evidence_ids = re.findall(r"^([A-Z]+-E\d+):", evidence_summary, flags=re.M)
    evidence_ids = (evidence_ids or ["SOC-E1"]) * 6
    return json.dumps(
        {
            "votes": [
                {
                    "juror": name,
                    "persona": persona,
                    "vote": vote if idx < 4 else "not_liable",
                    "reason": f"{name} applies a {persona} lens to exhibit {evidence_ids[idx]}.",
                    "evidence_ids": [evidence_ids[idx]],
                }
                for idx, (name, persona) in enumerate(JUROR_PERSONAS.items())
            ]
        }
    )


def fake_model_runner(**kwargs):
    text = (
        _jury_json(kwargs["evidence_summary"])
        if kwargs["role"] == "juror vote generator"
        else f"{kwargs['agent']} responds to: {kwargs['task']}"
    )
    prompt = (
        f"SYSTEM:\nFake live model for tests.\n\nUSER:\n"
        f"Agent: {kwargs['agent']}\nRole: {kwargs['role']}\nTask: {kwargs['task']}\n\nASSISTANT:\n"
    )
    return ModelResult(
        text=text,
        input_text=prompt,
        call=ModelCall(
            model=kwargs["model"],
            provider=kwargs.get("provider", "test"),
            ok=True,
            latency_ms=1,
            prompt_hash="test-prompt",
        ),
    )


def test_cached_cases_emit_sequential_speaker_order():
    expected_speakers = [
        "Clerk Meridian",
        JUDGE_NAME,
        "Advocate Auric",
        "Counsel Sable",
        "Auditor Prism",
        JUDGE_NAME,
        "Advocate Auric",
        "Counsel Sable",
        "Nemotron Jury",
        *list(JUROR_PERSONAS),
        JUDGE_NAME,
    ]
    for case_id in ["socrates", "barnaby"]:
        events = run_trial(TrialRequest(case_id=case_id), model_runner=fake_model_runner)

        assert [event.turns[0].agent for event in events] == expected_speakers
        assert [event.phase for event in events].count("deliberation") == 7
        assert events[0].turns[0].input
        assert "SYSTEM:" in events[0].turns[0].input
        assert events[-1].verdict is not None
        assert events[-1].votes and len(events[-1].votes) == 6
        assert "uncertainty" in events[-1].verdict.uncertainty.lower()


def test_no_event_contains_both_lawyers_speaking_together():
    events = run_trial(TrialRequest(case_id="socrates"), model_runner=fake_model_runner)

    for event in events:
        agents = {turn.agent for turn in event.turns}
        assert not {"Advocate Auric", "Counsel Sable"}.issubset(agents)


def test_juror_vote_events_have_fixed_personas_and_evidence():
    events = run_trial(TrialRequest(case_id="socrates"), model_runner=fake_model_runner)
    juror_events = [event for event in events if event.turns[0].agent in JUROR_PERSONAS]

    assert len(juror_events) == 6
    for event in juror_events:
        vote = event.votes[0]
        assert vote.juror == event.turns[0].agent
        assert vote.persona == JUROR_PERSONAS[vote.juror]
        assert vote.vote in {"liable", "not_liable", "uncertain"}
        assert vote.reason
        assert vote.evidence_ids

    final = events[-1]
    assert final.phase == "verdict"
    assert [vote.juror for vote in final.votes] == list(JUROR_PERSONAS)


def test_jury_contract_uses_public_history_personas():
    assert JUDGE_NAME == "Marcus Aurelius"
    assert JUROR_PERSONAS == {
        "Karl Marx": "class power, material conditions, exploitation, institutional incentives",
        "John Stuart Mill": "liberty, harm principle, utility, individual rights",
        "Confucius": "social harmony, role duty, ritual order, moral cultivation",
        "Cleopatra VII": "sovereign pragmatism, diplomacy, survival, legitimacy under pressure",
        "Niccolo Machiavelli": "political realism, stability, power, consequences over ideals",
        "Jensen Huang": "technological optimism, operator mindset, systems thinking, innovation tradeoffs",
    }


def test_required_model_failure_stops_trial_without_canned_dialogue():
    def failing_runner(**kwargs):
        return ModelResult(
            text="",
            input_text="SYSTEM:\nfailed",
            call=ModelCall(
                model=kwargs["model"],
                provider=kwargs.get("provider", "test"),
                ok=False,
                latency_ms=1,
                prompt_hash="test-prompt",
                error="offline",
            ),
        )

    with pytest.raises(RequiredModelError, match="unavailable"):
        run_trial(TrialRequest(case_id="socrates"), model_runner=failing_runner)


def test_invalid_jury_output_stops_trial_without_fallback_votes():
    def invalid_jury_runner(**kwargs):
        result = fake_model_runner(**kwargs)
        if kwargs["role"] == "juror vote generator":
            result.text = "the jury refuses structured output"
        return result

    with pytest.raises(RequiredModelError, match="invalid JSON"):
        run_trial(TrialRequest(case_id="socrates"), model_runner=invalid_jury_runner)


def test_live_search_stops_when_query_is_weak():
    with pytest.raises(RuntimeError, match="no fallback case"):
        run_trial(TrialRequest(case_id="live", search_query="x"), model_runner=fake_model_runner)