"""Tests for Dvādaśa 12-head FusionAGI components."""

import pytest

from fusionagi.schemas import (
    HeadId,
    HeadOutput,
    HeadClaim,
    AgreementMap,
    FinalResponse,
    parse_user_input,
    UserIntent,
)
from fusionagi.agents import HeadAgent, WitnessAgent
from fusionagi.agents.heads import create_head_agent, create_all_content_heads
from fusionagi.multi_agent import run_consensus, collect_claims, CollectedClaim
from fusionagi.adapters import StubAdapter
from fusionagi import Orchestrator, EventBus, StateManager
from fusionagi.core import run_heads_parallel, run_witness, run_dvadasa, select_heads_for_complexity


def test_parse_user_input_normal():
    cmd = parse_user_input("What is the best approach?")
    assert cmd.intent == UserIntent.NORMAL
    assert cmd.cleaned_prompt == "What is the best approach?"


def test_parse_user_input_head_strategy():
    cmd = parse_user_input("/head strategy What is the best approach?")
    assert cmd.intent == UserIntent.HEAD_STRATEGY
    assert cmd.head_id == HeadId.STRATEGY
    assert "best approach" in cmd.cleaned_prompt


def test_parse_user_input_show_dissent():
    cmd = parse_user_input("/show dissent")
    assert cmd.intent == UserIntent.SHOW_DISSENT


def test_head_output_schema():
    out = HeadOutput(
        head_id=HeadId.LOGIC,
        summary="Test",
        claims=[
            HeadClaim(claim_text="X is true", confidence=0.9, evidence=[], assumptions=[]),
        ],
        risks=[],
        questions=[],
        recommended_actions=[],
        tone_guidance="",
    )
    assert out.head_id == HeadId.LOGIC
    assert len(out.claims) == 1
    assert out.claims[0].confidence == 0.9


def test_consensus_engine():
    outputs = [
        HeadOutput(
            head_id=HeadId.LOGIC,
            summary="S1",
            claims=[
                HeadClaim(claim_text="X is true", confidence=0.8, evidence=[], assumptions=[]),
            ],
            risks=[],
            questions=[],
            recommended_actions=[],
            tone_guidance="",
        ),
    ]
    am = run_consensus(outputs)
    assert am.confidence_score >= 0
    assert isinstance(am.agreed_claims, list)
    assert isinstance(am.disputed_claims, list)


def test_create_all_heads():
    heads = create_all_content_heads()
    assert len(heads) == 11
    assert HeadId.WITNESS not in heads


def test_run_heads_parallel():
    stub = StubAdapter(structured_response={
        "head_id": "logic",
        "summary": "Stub",
        "claims": [],
        "risks": [],
        "questions": [],
        "recommended_actions": [],
        "tone_guidance": "",
    })
    bus = EventBus()
    state = StateManager()
    orch = Orchestrator(event_bus=bus, state_manager=state)
    heads = create_all_content_heads(adapter=stub)
    for hid, agent in list(heads.items())[:2]:
        orch.register_agent(hid.value, agent)
    orch.register_agent(HeadId.WITNESS.value, WitnessAgent(adapter=stub))

    task_id = orch.submit_task(goal="Test")
    results = run_heads_parallel(orch, task_id, "Hello", head_ids=[HeadId.LOGIC, HeadId.RESEARCH])
    assert len(results) >= 1
    assert all(isinstance(r, HeadOutput) for r in results)


def test_select_heads_for_complexity():
    simple = select_heads_for_complexity("What is 2+2?")
    assert len(simple) <= 5
    complex_heads = select_heads_for_complexity(
        "We need to design a secure architecture for production with compliance requirements"
    )
    assert len(complex_heads) == 11


def test_run_dvadasa_native_reasoning():
    """Test Dvādaśa runs with native reasoning (no external LLM)."""
    bus = EventBus()
    state = StateManager()
    orch = Orchestrator(event_bus=bus, state_manager=state)
    # adapter=None => uses NativeReasoningProvider for heads, NativeAdapter for Witness
    heads = create_all_content_heads(adapter=None)
    for hid, agent in list(heads.items())[:3]:  # Just Logic, Research, Systems
        orch.register_agent(hid.value, agent)
    orch.register_agent(HeadId.WITNESS.value, WitnessAgent(adapter=None))
    task_id = orch.submit_task(goal="What is the best approach for secure authentication?")
    final = run_dvadasa(
        orch, task_id, "What is the best approach for secure authentication?", event_bus=bus
    )
    assert final is not None
    assert final.final_answer
    assert len(final.final_answer) > 20
    assert final.confidence_score >= 0