"""Tests for app.intent module."""

from __future__ import annotations

from unittest.mock import AsyncMock, MagicMock

import pytest

from app.intent import (
    AMBIGUITY_THRESHOLD,
    ClassificationResult,
    IntentTarget,
    LLMIntentClassifier,
    _build_agent_list,
)
from app.registry import AgentConfig


def _make_agent(name: str, desc: str = "test", perm: str = "read") -> AgentConfig:
    return AgentConfig(
        name=name, description=desc, permission=perm, tools=["fallback_respond"],
    )


@pytest.mark.unit
class TestIntentModels:
    def test_intent_target_frozen(self) -> None:
        target = IntentTarget(agent_name="order_lookup", confidence=0.9, reasoning="order query")
        with pytest.raises(Exception):
            target.agent_name = "other"  # type: ignore[misc]

    def test_classification_result_frozen(self) -> None:
        result = ClassificationResult(
            intents=(IntentTarget(agent_name="a", confidence=0.9, reasoning="r"),),
        )
        assert not result.is_ambiguous
        assert result.clarification_question is None

    def test_classification_result_ambiguous(self) -> None:
        result = ClassificationResult(
            intents=(),
            is_ambiguous=True,
            clarification_question="What do you mean?",
        )
        assert result.is_ambiguous

    def test_multi_intent(self) -> None:
        result = ClassificationResult(
            intents=(
                IntentTarget(agent_name="order_actions", confidence=0.85, reasoning="cancel"),
                IntentTarget(agent_name="discount", confidence=0.8, reasoning="discount"),
            ),
        )
        assert len(result.intents) == 2


@pytest.mark.unit
class TestBuildAgentList:
    def test_formats_agents(self) -> None:
        agents = (
            _make_agent("order_lookup", "Looks up orders", "read"),
            _make_agent("order_actions", "Modifies orders", "write"),
        )
        text = _build_agent_list(agents)
        assert "order_lookup" in text
        assert "order_actions" in text
        assert "read" in text
        assert "write" in text


@pytest.mark.unit
class TestLLMIntentClassifier:
    @pytest.mark.asyncio
    async def test_single_intent_classification(self) -> None:
        expected = ClassificationResult(
            intents=(IntentTarget(agent_name="order_lookup", confidence=0.95, reasoning="query"),),
        )
        mock_structured = MagicMock()
        mock_structured.ainvoke = AsyncMock(return_value=expected)
        mock_llm = MagicMock()
        mock_llm.with_structured_output = MagicMock(return_value=mock_structured)

        classifier = LLMIntentClassifier(mock_llm)
        agents = (_make_agent("order_lookup"), _make_agent("fallback"))

        result = await classifier.classify("What is order 1042 status?", agents)
        assert len(result.intents) == 1
        assert result.intents[0].agent_name == "order_lookup"
        assert not result.is_ambiguous

    @pytest.mark.asyncio
    async def test_multi_intent_classification(self) -> None:
        expected = ClassificationResult(
            intents=(
                IntentTarget(agent_name="order_actions", confidence=0.9, reasoning="cancel"),
                IntentTarget(agent_name="discount", confidence=0.85, reasoning="discount"),
            ),
        )
        mock_structured = MagicMock()
        mock_structured.ainvoke = AsyncMock(return_value=expected)
        mock_llm = MagicMock()
        mock_llm.with_structured_output = MagicMock(return_value=mock_structured)

        classifier = LLMIntentClassifier(mock_llm)
        agents = (_make_agent("order_actions"), _make_agent("discount"), _make_agent("fallback"))

        result = await classifier.classify("Cancel order 1042 and give me 10% off", agents)
        assert len(result.intents) == 2
        assert not result.is_ambiguous

    @pytest.mark.asyncio
    async def test_ambiguous_classification(self) -> None:
        expected = ClassificationResult(
            intents=(IntentTarget(agent_name="fallback", confidence=0.3, reasoning="unclear"),),
            is_ambiguous=False,
        )
        mock_structured = MagicMock()
        mock_structured.ainvoke = AsyncMock(return_value=expected)
        mock_llm = MagicMock()
        mock_llm.with_structured_output = MagicMock(return_value=mock_structured)

        classifier = LLMIntentClassifier(mock_llm)
        agents = (_make_agent("order_lookup"), _make_agent("fallback"))

        result = await classifier.classify("hmm", agents)
        # Low confidence triggers ambiguity
        assert result.is_ambiguous
        assert result.clarification_question is not None

    @pytest.mark.asyncio
    async def test_llm_error_returns_ambiguous(self) -> None:
        mock_structured = MagicMock()
        mock_structured.ainvoke = AsyncMock(side_effect=RuntimeError("LLM error"))
        mock_llm = MagicMock()
        mock_llm.with_structured_output = MagicMock(return_value=mock_structured)

        classifier = LLMIntentClassifier(mock_llm)
        agents = (_make_agent("fallback"),)

        result = await classifier.classify("test", agents)
        assert result.is_ambiguous
        assert result.clarification_question is not None

    @pytest.mark.asyncio
    async def test_non_result_type_returns_ambiguous(self) -> None:
        mock_structured = MagicMock()
        mock_structured.ainvoke = AsyncMock(return_value="not a ClassificationResult")
        mock_llm = MagicMock()
        mock_llm.with_structured_output = MagicMock(return_value=mock_structured)

        classifier = LLMIntentClassifier(mock_llm)
        agents = (_make_agent("fallback"),)

        result = await classifier.classify("test", agents)
        assert result.is_ambiguous

    @pytest.mark.asyncio
    async def test_high_confidence_not_ambiguous(self) -> None:
        expected = ClassificationResult(
            intents=(
                IntentTarget(
                    agent_name="order_lookup",
                    confidence=AMBIGUITY_THRESHOLD + 0.1,
                    reasoning="clear",
                ),
            ),
        )
        mock_structured = MagicMock()
        mock_structured.ainvoke = AsyncMock(return_value=expected)
        mock_llm = MagicMock()
        mock_llm.with_structured_output = MagicMock(return_value=mock_structured)

        classifier = LLMIntentClassifier(mock_llm)
        agents = (_make_agent("order_lookup"),)

        result = await classifier.classify("order status 1042", agents)
        assert not result.is_ambiguous