# #region Test.AgentChat.LangGraph.Setup [C:3] [TYPE Module] [SEMANTICS test,agent,langgraph,setup]
# @BRIEF Tests for agent/langgraph_setup.py — configure_from_api, create_agent.
# @RELATION BINDS_TO -> [AgentChat.LangGraph.Setup]

from pathlib import Path
import sys

sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))

from unittest.mock import MagicMock, patch
import pytest


# #region test_configure_from_api [C:2] [TYPE Function]
# @BRIEF Test configure_from_api updates global config.
class TestConfigureFromApi:
    def test_sets_llm_config(self):
        import src.agent.langgraph_setup as ls
        ls._llm_config = None  # Reset
        ls.configure_from_api({"configured": True, "api_key": "sk-test", "default_model": "gpt-4o"})
        assert ls._llm_config is not None
        assert ls._llm_config["configured"] is True
        # Reset for other tests
        ls.configure_from_api(None)
        ls._llm_config = None

    def test_overwrites_previous_config(self):
        import src.agent.langgraph_setup as ls
        ls._llm_config = None  # Reset
        ls.configure_from_api({"configured": True, "api_key": "sk-1"})
        ls.configure_from_api({"configured": False})
        assert ls._llm_config["configured"] is False
        ls._llm_config = None
# #endregion test_configure_from_api


# #region test_create_agent [C:2] [TYPE Function]
# @BRIEF Test create_agent with various LLM config states.
class TestCreateAgent:
    def test_creates_agent_with_api_config(self):
        import src.agent.langgraph_setup as ls
        ls._llm_config = None  # Reset
        ls.configure_from_api({
            "configured": True,
            "api_key": "sk-api-config",
            "base_url": "https://custom.api.com/v1",
            "default_model": "gpt-4o-mini",
        })
        with patch("src.agent.langgraph_setup.ChatOpenAI") as mock_llm, \
             patch("src.agent.langgraph_setup.create_react_agent") as mock_create:
            mock_create.return_value = MagicMock()
            result = ls.create_agent([MagicMock()])
            assert result is mock_create.return_value
            call_kwargs = mock_llm.call_args[1]
            assert call_kwargs["api_key"] == "sk-api-config"
            assert call_kwargs["base_url"] == "https://custom.api.com/v1"
            assert call_kwargs["model"] == "gpt-4o-mini"
        ls._llm_config = None

    def test_creates_agent_with_env_fallback(self):
        import src.agent.langgraph_setup as ls
        ls._llm_config = None  # Reset
        with patch("src.agent.langgraph_setup.ChatOpenAI") as mock_llm, \
             patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
             patch("src.agent.langgraph_setup.os.getenv") as mock_getenv:
            mock_getenv.side_effect = lambda key, default=None: {
                "LLM_API_KEY": "sk-env-key",
                "LLM_BASE_URL": "https://env.api.com",
                "LLM_MODEL": "gpt-4",
            }.get(key, default)
            mock_create.return_value = MagicMock()
            result = ls.create_agent([])
            assert result is mock_create.return_value
            call_kwargs = mock_llm.call_args[1]
            assert call_kwargs["api_key"] == "sk-env-key"
            assert call_kwargs["model"] == "gpt-4"
        ls._llm_config = None

    def test_creates_agent_with_partial_api_config(self):
        import src.agent.langgraph_setup as ls
        ls._llm_config = None
        ls.configure_from_api({
            "configured": True,
            "api_key": "sk-key-only",
        })
        with patch("src.agent.langgraph_setup.ChatOpenAI") as mock_llm, \
             patch("src.agent.langgraph_setup.create_react_agent") as mock_create:
            mock_create.return_value = MagicMock()
            result = ls.create_agent([])
            assert result is mock_create.return_value
            call_kwargs = mock_llm.call_args[1]
            assert call_kwargs["api_key"] == "sk-key-only"
            assert call_kwargs["base_url"] == "https://api.openai.com/v1"
            assert call_kwargs["model"] == "gpt-4o-mini"
        ls._llm_config = None

    def test_uses_inmemory_saver(self):
        import src.agent.langgraph_setup as ls
        ls._llm_config = None
        with patch("src.agent.langgraph_setup.ChatOpenAI") as mock_llm, \
             patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
             patch("src.agent.langgraph_setup.os.getenv", return_value=None):
            mock_create.return_value = MagicMock()
            ls.create_agent([])
            call_kwargs = mock_create.call_args[1]
            from langgraph.checkpoint.memory import InMemorySaver
            assert isinstance(call_kwargs["checkpointer"], InMemorySaver)
        ls._llm_config = None
# #endregion test_create_agent
# #endregion Test.AgentChat.LangGraph.Setup