import pytest
from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
    VertexGeminiConfig,
)
from litellm import ModelResponse


def test_process_candidates_unbound_local_error_fix():
    # Setup
    candidates = [
        {
            "content": {
                "role": "model"
                # "parts" is missing intentionally to trigger the issue
            },
            "finishReason": "STOP",
        }
    ]
    model_response = ModelResponse()

    # Execution
    try:
        VertexGeminiConfig._process_candidates(
            _candidates=candidates,
            model_response=model_response,
            standard_optional_params={},
            cumulative_tool_call_index=0,
        )
    except UnboundLocalError as e:
        pytest.fail(f"UnboundLocalError raised: {e}")
    except Exception as e:
        # Other exceptions might be okay if they are not UnboundLocalError,
        # but ideally it should pass without error or raise a specific error if parts are required.
        # However, the goal is to verify thought_signatures doesn't crash.
        pass

    # Verify that we didn't crash with UnboundLocalError


if __name__ == "__main__":
    test_process_candidates_unbound_local_error_fix()
    print("Test passed!")
