import chatbot


def test_read_file_tool_returns_file_contents(tmp_path):
    sample = tmp_path / "note.txt"
    sample.write_text("hello\nworld\n", encoding="utf-8")

    assert "read_file" in chatbot.TOOLS
    assert chatbot.read_file(str(sample)) == "hello\nworld\n"


def test_ask_uses_tool_name_in_callback(tmp_path):
    sample = tmp_path / "note.txt"
    sample.write_text("hello\nworld\n", encoding="utf-8")

    class DummyLLM:
        n_tokens = 0

        def __init__(self):
            self.calls = 0

        def create_chat_completion(self, *args, **kwargs):
            self.calls += 1
            if self.calls == 1:
                yield {
                    "choices": [{
                        "delta": {
                            "content": (
                                f"<tool_call><function=read_file>"
                                f"<parameter=path>{sample}</parameter></function></tool_call>"
                            )
                        }
                    }]
                }
                return
            yield {"choices": [{"delta": {"content": "Final answer"}}]}

    seen = []
    llm = DummyLLM()
    result = chatbot.ask(
        llm,
        [{"role": "user", "content": "read this file"}],
        on_tool_call=lambda tool_name, target: seen.append((tool_name, target)),
    )

    assert result == "Final answer"
    assert seen == [("read_file", str(sample))]


def test_gui_tool_signal_accepts_name_and_target():
    import gui
    from PyQt6.QtWidgets import QApplication

    app = QApplication.instance() or QApplication([])
    thread = gui.AskThread(None, [])
    thread.tool_call.emit("read_file", "C:/temp/example.py")
    assert app is not None