from unittest.mock import Mock, patch

import pytest

from crewai import Agent, Task
from crewai.events.event_bus import crewai_event_bus
from crewai.events.event_types import (
    LLMGuardrailCompletedEvent,
    LLMGuardrailStartedEvent,
)
from crewai.llm import LLM
from crewai.tasks.hallucination_guardrail import HallucinationGuardrail
from crewai.tasks.llm_guardrail import LLMGuardrail
from crewai.tasks.task_output import TaskOutput


def create_smart_task(**kwargs):
    """
    Smart task factory that automatically assigns a mock agent when guardrails are present.
    This maintains backward compatibility while handling the agent requirement for guardrails.
    """
    guardrails_list = kwargs.get("guardrails")
    has_guardrails = kwargs.get("guardrail") is not None or (
        guardrails_list is not None and len(guardrails_list) > 0
    )

    if has_guardrails and kwargs.get("agent") is None:
        kwargs["agent"] = Agent(
            role="test_agent", goal="test_goal", backstory="test_backstory"
        )

    return Task(**kwargs)


def test_task_without_guardrail():
    """Test that tasks work normally without guardrails (backward compatibility)."""
    agent = Mock()
    agent.role = "test_agent"
    agent.execute_task.return_value = "test result"
    agent.crew = None

    task = create_smart_task(description="Test task", expected_output="Output")

    result = task.execute_sync(agent=agent)
    assert isinstance(result, TaskOutput)
    assert result.raw == "test result"


def test_task_with_successful_guardrail_func():
    """Test that successful guardrail validation passes transformed result."""

    def guardrail(result: TaskOutput):
        return (True, result.raw.upper())

    agent = Mock()
    agent.role = "test_agent"
    agent.execute_task.return_value = "test result"
    agent.crew = None

    task = create_smart_task(
        description="Test task", expected_output="Output", guardrail=guardrail
    )

    result = task.execute_sync(agent=agent)
    assert isinstance(result, TaskOutput)
    assert result.raw == "TEST RESULT"


def test_task_with_failing_guardrail():
    """Test that failing guardrail triggers retry with error context."""

    def guardrail(result: TaskOutput):
        return (False, "Invalid format")

    agent = Mock()
    agent.role = "test_agent"
    agent.execute_task.side_effect = ["bad result", "good result"]
    agent.crew = None

    task = create_smart_task(
        description="Test task",
        expected_output="Output",
        guardrail=guardrail,
        guardrail_max_retries=1,
    )

    # First execution fails guardrail, second succeeds
    agent.execute_task.side_effect = ["bad result", "good result"]
    with pytest.raises(Exception) as exc_info:
        task.execute_sync(agent=agent)

    assert "Task failed guardrail validation" in str(exc_info.value)
    assert task.retry_count == 1


def test_task_with_guardrail_retries():
    """Test that guardrail respects max_retries configuration."""

    def guardrail(result: TaskOutput):
        return (False, "Invalid format")

    agent = Mock()
    agent.role = "test_agent"
    agent.execute_task.return_value = "bad result"
    agent.crew = None

    task = create_smart_task(
        description="Test task",
        expected_output="Output",
        guardrail=guardrail,
        guardrail_max_retries=2,
    )

    with pytest.raises(Exception) as exc_info:
        task.execute_sync(agent=agent)

    assert task.retry_count == 2
    assert "Task failed guardrail validation after 2 retries" in str(exc_info.value)
    assert "Invalid format" in str(exc_info.value)


def test_guardrail_error_in_context():
    """Test that guardrail error is passed in context for retry."""

    def guardrail(result: TaskOutput):
        return (False, "Expected JSON, got string")

    agent = Mock()
    agent.role = "test_agent"
    agent.crew = None

    task = create_smart_task(
        description="Test task",
        expected_output="Output",
        guardrail=guardrail,
        guardrail_max_retries=1,
    )

    # Mock execute_task to succeed on second attempt
    first_call = True

    def execute_task(task, context, tools):
        nonlocal first_call
        if first_call:
            first_call = False
            return "invalid"
        return '{"valid": "json"}'

    agent.execute_task.side_effect = execute_task

    with pytest.raises(Exception) as exc_info:
        task.execute_sync(agent=agent)

    assert "Task failed guardrail validation" in str(exc_info.value)
    assert "Expected JSON, got string" in str(exc_info.value)


@pytest.fixture
def sample_agent():
    return Agent(role="Test Agent", goal="Test Goal", backstory="Test Backstory")


@pytest.fixture
def task_output():
    return TaskOutput(
        raw="""
        Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever
        """,
        description="Test task",
        expected_output="Output",
        agent="Test Agent",
    )


@pytest.mark.vcr(filter_headers=["authorization"])
def test_task_guardrail_process_output(task_output):
    guardrail = LLMGuardrail(
        description="Ensure the result has less than 10 words", llm=LLM(model="gpt-4o")
    )

    result = guardrail(task_output)
    assert result[0] is False

    assert "exceeding the guardrail limit of fewer than" in result[1].lower()

    guardrail = LLMGuardrail(
        description="Ensure the result has less than 500 words", llm=LLM(model="gpt-4o")
    )

    result = guardrail(task_output)
    assert result[0] is True
    assert result[1] == task_output.raw


@pytest.mark.vcr(filter_headers=["authorization"])
def test_guardrail_emits_events(sample_agent):
    started_guardrail = []
    completed_guardrail = []

    task = create_smart_task(
        description="Gather information about available books on the First World War",
        agent=sample_agent,
        expected_output="A list of available books on the First World War",
        guardrail="Ensure the authors are from Italy",
    )

    with crewai_event_bus.scoped_handlers():

        @crewai_event_bus.on(LLMGuardrailStartedEvent)
        def handle_guardrail_started(source, event):
            assert source == task
            started_guardrail.append(
                {"guardrail": event.guardrail, "retry_count": event.retry_count}
            )

        @crewai_event_bus.on(LLMGuardrailCompletedEvent)
        def handle_guardrail_completed(source, event):
            assert source == task
            completed_guardrail.append(
                {
                    "success": event.success,
                    "result": event.result,
                    "error": event.error,
                    "retry_count": event.retry_count,
                }
            )

        result = task.execute_sync(agent=sample_agent)

        def custom_guardrail(result: TaskOutput):
            return (True, "good result from callable function")

        task = create_smart_task(
            description="Test task",
            expected_output="Output",
            guardrail=custom_guardrail,
        )

        task.execute_sync(agent=sample_agent)

        expected_started_events = [
            {"guardrail": "Ensure the authors are from Italy", "retry_count": 0},
            {"guardrail": "Ensure the authors are from Italy", "retry_count": 1},
            {
                "guardrail": """def custom_guardrail(result: TaskOutput):
            return (True, "good result from callable function")""",
                "retry_count": 0,
            },
        ]

        expected_completed_events = [
            {
                "success": False,
                "result": None,
                "error": "The task result does not comply with the guardrail because none of "
                "the listed authors are from Italy. All authors mentioned are from "
                "different countries, including Germany, the UK, the USA, and others, "
                "which violates the requirement that authors must be Italian.",
                "retry_count": 0,
            },
            {"success": True, "result": result.raw, "error": None, "retry_count": 1},
            {
                "success": True,
                "result": "good result from callable function",
                "error": None,
                "retry_count": 0,
            },
        ]
        assert started_guardrail == expected_started_events
        assert completed_guardrail == expected_completed_events


@pytest.mark.vcr(filter_headers=["authorization"])
def test_guardrail_when_an_error_occurs(sample_agent, task_output):
    with (
        patch(
            "crewai.Agent.kickoff",
            side_effect=Exception("Unexpected error"),
        ),
        pytest.raises(
            Exception,
            match="Error while validating the task output: Unexpected error",
        ),
    ):
        task = create_smart_task(
            description="Gather information about available books on the First World War",
            agent=sample_agent,
            expected_output="A list of available books on the First World War",
            guardrail="Ensure the authors are from Italy",
            guardrail_max_retries=0,
        )
        task.execute_sync(agent=sample_agent)


def test_hallucination_guardrail_integration():
    """Test that HallucinationGuardrail integrates properly with the task system."""
    agent = Mock()
    agent.role = "test_agent"
    agent.execute_task.return_value = "test result"
    agent.crew = None

    mock_llm = Mock(spec=LLM)
    guardrail = HallucinationGuardrail(
        context="Test reference context for validation", llm=mock_llm, threshold=8.0
    )

    task = create_smart_task(
        description="Test task with hallucination guardrail",
        expected_output="Valid output",
        guardrail=guardrail,
    )

    result = task.execute_sync(agent=agent)
    assert isinstance(result, TaskOutput)
    assert result.raw == "test result"


def test_hallucination_guardrail_description_in_events():
    """Test that HallucinationGuardrail description appears correctly in events."""
    mock_llm = Mock(spec=LLM)
    guardrail = HallucinationGuardrail(context="Test context", llm=mock_llm)

    assert guardrail.description == "HallucinationGuardrail (no-op)"

    event = LLMGuardrailStartedEvent(guardrail=guardrail, retry_count=0)
    assert event.guardrail == "HallucinationGuardrail (no-op)"


def test_multiple_guardrails_sequential_processing():
    """Test that multiple guardrails are processed sequentially."""

    def first_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """First guardrail adds prefix."""
        return (True, f"[FIRST] {result.raw}")

    def second_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Second guardrail adds suffix."""
        return (True, f"{result.raw} [SECOND]")

    def third_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Third guardrail converts to uppercase."""
        return (True, result.raw.upper())

    agent = Mock()
    agent.role = "sequential_agent"
    agent.execute_task.return_value = "original text"
    agent.crew = None

    task = create_smart_task(
        description="Test sequential guardrails",
        expected_output="Processed text",
        guardrails=[first_guardrail, second_guardrail, third_guardrail],
    )

    result = task.execute_sync(agent=agent)
    assert result.raw == "[FIRST] ORIGINAL TEXT [SECOND]"


def test_multiple_guardrails_with_validation_failure():
    """Test multiple guardrails where one fails validation."""

    def length_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Ensure minimum length."""
        if len(result.raw) < 10:
            return (False, "Text too short")
        return (True, result.raw)

    def format_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Add formatting only if not already formatted."""
        if not result.raw.startswith("Formatted:"):
            return (True, f"Formatted: {result.raw}")
        return (True, result.raw)

    def validation_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Final validation."""
        if "Formatted:" not in result.raw:
            return (False, "Missing formatting")
        return (True, result.raw)

    # Use a callable that tracks calls and returns appropriate values
    call_count = 0

    def mock_execute_task(*args, **kwargs):
        nonlocal call_count
        call_count += 1
        result = (
            "short"
            if call_count == 1
            else "this is a longer text that meets requirements"
        )
        return result

    agent = Mock()
    agent.role = "validation_agent"
    agent.execute_task = mock_execute_task
    agent.crew = None

    task = create_smart_task(
        description="Test guardrails with validation",
        expected_output="Valid formatted text",
        guardrails=[length_guardrail, format_guardrail, validation_guardrail],
        guardrail_max_retries=2,
    )

    result = task.execute_sync(agent=agent)
    # The second call should be processed through all guardrails
    assert result.raw == "Formatted: this is a longer text that meets requirements"
    assert task._guardrail_retry_counts.get(0, 0) == 1


def test_multiple_guardrails_with_mixed_string_and_taskoutput():
    """Test guardrails that return both strings and TaskOutput objects."""

    def string_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Returns a string."""
        return (True, f"String: {result.raw}")

    def taskoutput_guardrail(result: TaskOutput) -> tuple[bool, TaskOutput]:
        """Returns a TaskOutput object."""
        new_output = TaskOutput(
            name=result.name,
            description=result.description,
            expected_output=result.expected_output,
            raw=f"TaskOutput: {result.raw}",
            agent=result.agent,
            output_format=result.output_format,
        )
        return (True, new_output)

    def final_string_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Final string transformation."""
        return (True, f"Final: {result.raw}")

    agent = Mock()
    agent.role = "mixed_agent"
    agent.execute_task.return_value = "original"
    agent.crew = None

    task = create_smart_task(
        description="Test mixed return types",
        expected_output="Mixed processing",
        guardrails=[string_guardrail, taskoutput_guardrail, final_string_guardrail],
    )

    result = task.execute_sync(agent=agent)
    assert result.raw == "Final: TaskOutput: String: original"


def test_multiple_guardrails_with_retry_on_middle_guardrail():
    """Test that retry works correctly when a middle guardrail fails."""

    call_count = {"first": 0, "second": 0, "third": 0}

    def first_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Always succeeds."""
        call_count["first"] += 1
        return (True, f"First({call_count['first']}): {result.raw}")

    def second_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Fails on first attempt, succeeds on second."""
        call_count["second"] += 1
        if call_count["second"] == 1:
            return (False, "Second guardrail failed on first attempt")
        return (True, f"Second({call_count['second']}): {result.raw}")

    def third_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Always succeeds."""
        call_count["third"] += 1
        return (True, f"Third({call_count['third']}): {result.raw}")

    agent = Mock()
    agent.role = "retry_agent"
    agent.execute_task.return_value = "base"
    agent.crew = None

    task = create_smart_task(
        description="Test retry in middle guardrail",
        expected_output="Retry handling",
        guardrails=[first_guardrail, second_guardrail, third_guardrail],
        guardrail_max_retries=2,
    )

    result = task.execute_sync(agent=agent)
    assert task._guardrail_retry_counts.get(1, 0) == 1
    assert call_count["first"] == 1
    assert call_count["second"] == 2
    assert call_count["third"] == 1
    assert "Second(2)" in result.raw


def test_multiple_guardrails_with_max_retries_exceeded():
    """Test that exception is raised when max retries exceeded with multiple guardrails."""

    def passing_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Always passes."""
        return (True, f"Passed: {result.raw}")

    def failing_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Always fails."""
        return (False, "This guardrail always fails")

    agent = Mock()
    agent.role = "failing_agent"
    agent.execute_task.return_value = "test"
    agent.crew = None

    task = create_smart_task(
        description="Test max retries with multiple guardrails",
        expected_output="Will fail",
        guardrails=[passing_guardrail, failing_guardrail],
        guardrail_max_retries=1,
    )

    with pytest.raises(Exception) as exc_info:
        task.execute_sync(agent=agent)

    assert "Task failed guardrail 1 validation after 1 retries" in str(exc_info.value)
    assert "This guardrail always fails" in str(exc_info.value)
    assert task._guardrail_retry_counts.get(1, 0) == 1


def test_multiple_guardrails_empty_list():
    """Test that empty guardrails list works correctly."""

    agent = Mock()
    agent.role = "empty_agent"
    agent.execute_task.return_value = "no guardrails"
    agent.crew = None

    task = create_smart_task(
        description="Test empty guardrails list",
        expected_output="No processing",
        guardrails=[],
    )

    result = task.execute_sync(agent=agent)
    assert result.raw == "no guardrails"


def test_multiple_guardrails_with_llm_guardrails():
    """Test mixing callable and LLM guardrails."""

    def callable_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Callable guardrail."""
        return (True, f"Callable: {result.raw}")

    # Create a proper mock agent without config issues
    from crewai import Agent

    agent = Agent(
        role="mixed_guardrail_agent", goal="Test goal", backstory="Test backstory"
    )

    task = create_smart_task(
        description="Test mixed guardrail types",
        expected_output="Mixed processing",
        guardrails=[callable_guardrail, "Ensure the output is professional"],
        agent=agent,
    )

    # The LLM guardrail will be converted to LLMGuardrail internally
    assert len(task._guardrails) == 2
    assert callable(task._guardrails[0])
    assert callable(task._guardrails[1])  # LLMGuardrail is callable


def test_multiple_guardrails_processing_order():
    """Test that guardrails are processed in the correct order."""

    processing_order = []

    def first_guardrail(result: TaskOutput) -> tuple[bool, str]:
        processing_order.append("first")
        return (True, f"1-{result.raw}")

    def second_guardrail(result: TaskOutput) -> tuple[bool, str]:
        processing_order.append("second")
        return (True, f"2-{result.raw}")

    def third_guardrail(result: TaskOutput) -> tuple[bool, str]:
        processing_order.append("third")
        return (True, f"3-{result.raw}")

    agent = Mock()
    agent.role = "order_agent"
    agent.execute_task.return_value = "base"
    agent.crew = None

    task = create_smart_task(
        description="Test processing order",
        expected_output="Ordered processing",
        guardrails=[first_guardrail, second_guardrail, third_guardrail],
    )

    result = task.execute_sync(agent=agent)
    assert processing_order == ["first", "second", "third"]
    assert result.raw == "3-2-1-base"


def test_multiple_guardrails_with_pydantic_output():
    """Test multiple guardrails with Pydantic output model."""
    from pydantic import BaseModel, Field

    class TestModel(BaseModel):
        content: str = Field(description="The content")
        processed: bool = Field(description="Whether it was processed")

    def json_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Convert to JSON format."""
        import json

        data = {"content": result.raw, "processed": True}
        return (True, json.dumps(data))

    def validation_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Validate JSON structure."""
        import json

        try:
            data = json.loads(result.raw)
            if "content" not in data or "processed" not in data:
                return (False, "Missing required fields")
            return (True, result.raw)
        except json.JSONDecodeError:
            return (False, "Invalid JSON format")

    agent = Mock()
    agent.role = "pydantic_agent"
    agent.execute_task.return_value = "test content"
    agent.crew = None

    task = create_smart_task(
        description="Test guardrails with Pydantic",
        expected_output="Structured output",
        guardrails=[json_guardrail, validation_guardrail],
        output_pydantic=TestModel,
    )

    result = task.execute_sync(agent=agent)

    # Verify the result is valid JSON and can be parsed
    import json

    parsed = json.loads(result.raw)
    assert parsed["content"] == "test content"
    assert parsed["processed"] is True


def test_guardrails_vs_single_guardrail_mutual_exclusion():
    """Test that guardrails list nullifies single guardrail."""

    def single_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """Single guardrail - should be ignored."""
        return (True, f"Single: {result.raw}")

    def list_guardrail(result: TaskOutput) -> tuple[bool, str]:
        """List guardrail - should be used."""
        return (True, f"List: {result.raw}")

    agent = Mock()
    agent.role = "exclusion_agent"
    agent.execute_task.return_value = "test"
    agent.crew = None

    task = create_smart_task(
        description="Test mutual exclusion",
        expected_output="Exclusion test",
        guardrail=single_guardrail,  # This should be ignored
        guardrails=[list_guardrail],  # This should be used
    )

    result = task.execute_sync(agent=agent)
    # Should only use the guardrails list, not the single guardrail
    assert result.raw == "List: test"
    assert task._guardrail is None  # Single guardrail should be nullified


def test_per_guardrail_independent_retry_tracking():
    """Test that each guardrail has independent retry tracking."""

    call_counts = {"g1": 0, "g2": 0, "g3": 0}

    def guardrail_1(result: TaskOutput) -> tuple[bool, str]:
        """Fails twice, then succeeds."""
        call_counts["g1"] += 1
        if call_counts["g1"] <= 2:
            return (False, "Guardrail 1 not ready yet")
        return (True, f"G1({call_counts['g1']}): {result.raw}")

    def guardrail_2(result: TaskOutput) -> tuple[bool, str]:
        """Fails once, then succeeds."""
        call_counts["g2"] += 1
        if call_counts["g2"] == 1:
            return (False, "Guardrail 2 not ready yet")
        return (True, f"G2({call_counts['g2']}): {result.raw}")

    def guardrail_3(result: TaskOutput) -> tuple[bool, str]:
        """Always succeeds."""
        call_counts["g3"] += 1
        return (True, f"G3({call_counts['g3']}): {result.raw}")

    agent = Mock()
    agent.role = "independent_retry_agent"
    agent.execute_task.return_value = "base"
    agent.crew = None

    task = create_smart_task(
        description="Test independent retry tracking",
        expected_output="Independent retries",
        guardrails=[guardrail_1, guardrail_2, guardrail_3],
        guardrail_max_retries=3,
    )

    result = task.execute_sync(agent=agent)

    assert task._guardrail_retry_counts.get(0, 0) == 2
    assert task._guardrail_retry_counts.get(1, 0) == 1
    assert task._guardrail_retry_counts.get(2, 0) == 0

    assert call_counts["g1"] == 3
    assert call_counts["g2"] == 2
    assert call_counts["g3"] == 1

    assert "G3(1)" in result.raw