50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
from unittest.mock import Mock, patch
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import pytest
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from google.generativeai import GenerationConfig
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from google.generativeai.types import content_types
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from mem0.configs.llms.base import BaseLlmConfig
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from mem0.llms.gemini import GeminiLLM
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@pytest.fixture
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def mock_gemini_client():
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with patch("mem0.llms.gemini.GenerativeModel") as mock_gemini:
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mock_client = Mock()
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mock_gemini.return_value = mock_client
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yield mock_client
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def test_generate_response_without_tools(mock_gemini_client: Mock):
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config = BaseLlmConfig(
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model="gemini-1.5-flash-latest", temperature=0.7, max_tokens=100, top_p=1.0
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)
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llm = GeminiLLM(config)
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Hello, how are you?"},
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]
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mock_part = Mock(text="I'm doing well, thank you for asking!")
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mock_content = Mock(parts=[mock_part])
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mock_message = Mock(content=mock_content)
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mock_response = Mock(candidates=[mock_message])
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mock_gemini_client.generate_content.return_value = mock_response
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response = llm.generate_response(messages)
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mock_gemini_client.generate_content.assert_called_once_with(
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contents=[
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{
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"parts": "THIS IS A SYSTEM PROMPT. YOU MUST OBEY THIS: You are a helpful assistant.",
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"role": "user",
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},
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{"parts": "Hello, how are you?", "role": "user"},
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],
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generation_config=GenerationConfig(
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temperature=0.7, max_output_tokens=100, top_p=1.0
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),
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)
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assert response == "I'm doing well, thank you for asking!"
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