"""Test Agent creation and execution basic functionality."""

from unittest.mock import MagicMock, patch

from crewai.agent import Agent
from crewai.task import Task


def test_task_tool_reflect_agent_tools():
    from langchain.tools import tool

    @tool
    def fake_tool() -> None:
        "Fake tool"

    researcher = Agent(
        role="Researcher",
        goal="Make the best research and analysis on content about AI and AI agents",
        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
        tools=[fake_tool],
        allow_delegation=False,
    )

    task = Task(
        description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
        agent=researcher,
    )

    assert task.tools == [fake_tool]


def test_task_tool_takes_precedence_over_agent_tools():
    from langchain.tools import tool

    @tool
    def fake_tool() -> None:
        "Fake tool"

    @tool
    def fake_task_tool() -> None:
        "Fake tool"

    researcher = Agent(
        role="Researcher",
        goal="Make the best research and analysis on content about AI and AI agents",
        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
        tools=[fake_tool],
        allow_delegation=False,
    )

    task = Task(
        description="Give me a list of 5 interesting ideas to explore for an article, what makes them unique and interesting.",
        agent=researcher,
        tools=[fake_task_tool],
    )

    assert task.tools == [fake_task_tool]


def test_task_prompt_includes_expected_output():
    researcher = Agent(
        role="Researcher",
        goal="Make the best research and analysis on content about AI and AI agents",
        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
        allow_delegation=False,
    )

    task = Task(
        description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
        expected_output="Bullet point list of 5 interesting ideas.",
        agent=researcher,
    )

    with patch.object(Agent, "execute_task") as execute:
        execute.return_value = "ok"
        task.execute()
        execute.assert_called_once_with(task=task._prompt(), context=None, tools=[])


def test_task_callback():
    researcher = Agent(
        role="Researcher",
        goal="Make the best research and analysis on content about AI and AI agents",
        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
        allow_delegation=False,
    )

    task_completed = MagicMock(return_value="done")

    task = Task(
        description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
        expected_output="Bullet point list of 5 interesting ideas.",
        agent=researcher,
        callback=task_completed,
    )

    with patch.object(Agent, "execute_task") as execute:
        execute.return_value = "ok"
        task.execute()
        task_completed.assert_called_once_with(task.output)


def test_execute_with_agent():
    researcher = Agent(
        role="Researcher",
        goal="Make the best research and analysis on content about AI and AI agents",
        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
        allow_delegation=False,
    )

    task = Task(
        description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
        expected_output="Bullet point list of 5 interesting ideas.",
    )

    with patch.object(Agent, "execute_task", return_value="ok") as execute:
        task.execute(agent=researcher)
        execute.assert_called_once_with(task=task._prompt(), context=None, tools=[])


def test_async_execution():
    researcher = Agent(
        role="Researcher",
        goal="Make the best research and analysis on content about AI and AI agents",
        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
        allow_delegation=False,
    )

    task = Task(
        description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
        expected_output="Bullet point list of 5 interesting ideas.",
        async_execution=True,
        agent=researcher,
    )

    with patch.object(Agent, "execute_task", return_value="ok") as execute:
        task.execute(agent=researcher)
        execute.assert_called_once_with(task=task._prompt(), context=None, tools=[])
