Add advanced test cases for Gemini and Ollama models to improve code coverage

[ipv1337]

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[gemini-code-assist]

Hello @ipv1337, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

Summary of Changes

This pull request introduces advanced test cases for both the GeminiModel and OllamaModel classes. The goal is to improve code coverage, particularly for complex methods like generate(), and to handle various edge cases. The tests use extensive mocking to isolate the model logic and simulate different API responses, tool executions, and user interactions.

Highlights

• Advanced Gemini Model Tests: The test_gemini_model_advanced.py file adds tests for command handling, text and function call responses, task completion, error handling (empty candidates, API errors, max iterations), multiple tool calls, and context window management.
• Advanced Ollama Model Tests: The test_ollama_model_advanced.py file adds tests for text and tool call responses, task completion, sensitive tool approval/rejection, API errors, max iterations, context management, token counting, and error handling during tool execution.
• Mocking: Both test suites heavily rely on mocking external dependencies like google.generativeai (for Gemini) and OpenAI (for Ollama), as well as tools and user input, to ensure focused and reliable testing.

Changelog

Click here to see the changelog

• test_dir/test_gemini_model_advanced.py
  • Added a new test file to specifically target advanced scenarios and edge cases for the GeminiModel class.
  • Implemented tests for /exit and /help commands.
  • Added tests to handle simple text responses from the Gemini model.
  • Included tests for function call responses, ensuring tools are correctly looked up and executed.
  • Added a test case for the task_complete tool.
  • Implemented tests to handle empty candidate lists and empty content within candidates.
  • Added a test to simulate and handle API errors.
  • Included a test to verify the handling of maximum iteration limits.
  • Added a test case for scenarios with multiple tool calls in a single response.
  • Implemented a test to manage and truncate the context window with many messages, ensuring the system prompt is preserved (line 303-320).
• test_dir/test_ollama_model_advanced.py
  • Added a new test file to specifically target advanced scenarios and edge cases for the OllamaModel class.
  • Implemented tests for handling simple text responses from the Ollama model.
  • Added tests for tool call responses, ensuring tools are correctly looked up and executed.
  • Included a test case for the task_complete tool.
  • Added tests for sensitive tools, including approval and rejection scenarios using questionary.
  • Implemented a test to simulate and handle API errors.
  • Included a test to verify the handling of maximum iteration limits.
  • Added a test to manage and truncate the context window, ensuring the system prompt is preserved (line 342-360).
  • Implemented a test to simulate token counting and context management when the context window is exceeded (line 361-389).
  • Added a test to handle errors during tool execution (line 390-436).

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[gemini-code-assist]

Code Review

The pull request introduces advanced test cases for Gemini and Ollama models, which is a great step towards improving code coverage and robustness. The tests cover various scenarios, including command handling, tool calls, error handling, and context management. Overall, the tests are well-structured and provide valuable insights into the models' behavior. However, there are a few areas that could be improved to enhance the tests further.

Summary of Findings

• Missing test case for tool execution failure in GeminiModel: A test case to specifically check the scenario where tool execution fails in the GeminiModel is missing. This would ensure that the model handles tool execution errors gracefully.
• Incomplete validation of tool arguments in OllamaModel: The OllamaModel tests could benefit from more robust validation of the arguments passed to the tools, ensuring that the correct arguments are being passed and handled.
• Potential for more specific assertions: Some assertions could be made more specific to improve the clarity and reliability of the tests. For example, instead of just checking if a substring is present in the result, verify the exact content or structure of the response.

Merge Readiness

The pull request is a valuable contribution to the project, significantly improving the test coverage for Gemini and Ollama models. However, before merging, it would be beneficial to address the identified issues to ensure the tests are as comprehensive and reliable as possible. I am unable to directly approve this pull request, and recommend that others review and approve this code before merging.

[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud