Fix high severity SonarCloud issues in GeminiModel #27
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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 addresses two high severity issues reported by SonarCloud in the GeminiModel class: a duplicated string literal and high cognitive complexity. To address the cognitive complexity, the generate method has been significantly refactored into smaller, more manageable private methods. A constant THINKING_STATUS was also introduced to avoid duplicated string literals.
Highlights
- Refactor: The
generatemethod insrc/cli_code/models/gemini.pyhas been refactored to reduce cognitive complexity. It's now broken down into smaller, private methods for better readability and maintainability. - Duplicated String Literal: A duplicated string literal has been replaced with a constant
THINKING_STATUSinsrc/cli_code/models/gemini.py.
Changelog
- src/cli_code/models/gemini.py
- Introduced
THINKING_STATUSconstant to replace a duplicated string literal. - Refactored the
generatemethod into smaller, private methods such as_validate_prompt_and_model,_handle_special_commands,_prepare_input_context,_execute_agent_loop,_get_llm_response,_handle_empty_response,_check_for_stop_reason,_extract_final_text,_process_response_content,_handle_null_content,_handle_empty_parts,_process_individual_part,_execute_function_call,_handle_task_complete,_request_tool_confirmation,_store_tool_result,_handle_no_actionable_content,_handle_agent_loop_exception,_handle_stop_iteration,_handle_quota_exceeded,_handle_general_exception, and_handle_loop_completionto reduce cognitive complexity. - Added docstrings to the new private methods to explain their purpose.
- Modified the system prompt in
_create_system_promptto clarify the instructions for the LLM.
- Introduced
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A complex function,
A tangled web of thought spun,
Refactor brings light.
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Code Review
This PR addresses duplicated string literals and high cognitive complexity in the GeminiModel class by refactoring the generate method into smaller, more manageable functions. The changes improve code readability and maintainability. The introduction of helper functions and clear validation steps enhances the overall structure of the class.
Summary of Findings
- Error Handling: The refactored code includes more granular error handling within the agent loop and tool execution, providing more informative error messages to the user.
- Code Readability: The original
generatemethod was significantly simplified by extracting logical blocks into separate functions, improving readability and reducing cognitive complexity. - Duplicated String Literal: The duplicated string literal '[bold green]Thinking...[/bold green]' was extracted into a constant, addressing the SonarCloud issue.
Merge Readiness
The changes in this pull request significantly improve the structure and maintainability of the GeminiModel class. The issues identified by SonarCloud have been addressed, and the code is now more readable and easier to understand. I recommend that the pull request not be merged until the medium severity comments are addressed, and that users have others review and approve this code before merging. I am unable to approve this pull request.
| def generate(self, prompt: str) -> Optional[str]: | ||
| """Generate a response using the Gemini model with function calling capabilities.""" |
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Consider adding a brief description of the parameters to the docstring, e.g. prompt: The user's input prompt.
| def generate(self, prompt: str) -> Optional[str]: | |
| """Generate a response using the Gemini model with function calling capabilities.""" | |
| """Generate a response using the Gemini model with function calling capabilities. | |
| Args: | |
| prompt (str): The user's input prompt. | |
| """ |
| def _execute_agent_loop(self, iteration_count, task_completed, final_summary, last_text_response): | ||
| """Execute the main agent loop with LLM interactions and tool calls.""" |
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Consider adding a docstring to describe the parameters and return value of this function.
def _execute_agent_loop(self, iteration_count: int, task_completed: bool, final_summary: str, last_text_response: str):
"""Execute the main agent loop with LLM interactions and tool calls.
Args:
iteration_count (int): The current iteration count.
task_completed (bool): A flag indicating if the task is completed.
final_summary (str): The final summary of the task.
last_text_response (str): The last text response generated.
Returns:
str: The result of the agent loop.
"""| def _handle_empty_response(self, llm_response): | ||
| """Handle the case where the LLM response has no candidates.""" |
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Consider adding a docstring to describe the parameters and return value of this function.
def _handle_empty_response(self, llm_response) -> str:
"""Handle the case where the LLM response has no candidates.
Args:
llm_response: The LLM response object.
Returns:
str: An error message indicating the reason for the empty response.
"""| def _check_for_stop_reason(self, response_candidate, status): | ||
| """Check if the response has a STOP finish reason.""" |
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Consider adding a docstring to describe the parameters and return value of this function.
def _check_for_stop_reason(self, response_candidate, status) -> bool:
"""Check if the response has a STOP finish reason.
Args:
response_candidate: The response candidate object.
status: The console status object.
Returns:
bool: True if the finish reason is STOP, False otherwise.
"""| def _extract_final_text(self, response_candidate): | ||
| """Extract text from a STOP response.""" |
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Consider adding a docstring to describe the parameters and return value of this function.
def _extract_final_text(self, response_candidate) -> str:
"""Extract text from a STOP response.
Args:
response_candidate: The response candidate object.
Returns:
str: The extracted text from the response.
"""| def _handle_agent_loop_exception(self, exception, status): | ||
| """Handle exceptions that occur during the agent loop.""" |
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Consider adding a docstring to describe the parameters and return value of this function.
def _handle_agent_loop_exception(self, exception, status) -> Optional[str]:
"""Handle exceptions that occur during the agent loop.
Args:
exception: The exception that occurred.
status: The console status object.
Returns:
Optional[str]: An error message or None.
"""| def _handle_stop_iteration(self, exception): | ||
| """Handle StopIteration exceptions.""" |
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Consider adding a docstring to describe the parameters and return value of this function.
def _handle_stop_iteration(self, exception) -> str:
"""Handle StopIteration exceptions.
Args:
exception: The StopIteration exception.
Returns:
str: An error message.
"""| def _handle_quota_exceeded(self, exception, status): | ||
| """Handle quota exceeded errors.""" |
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Consider adding a docstring to describe the parameters and return value of this function.
def _handle_quota_exceeded(self, exception, status) -> Optional[str]:
"""Handle quota exceeded errors.
Args:
exception: The ResourceExhausted exception.
status: The console status object.
Returns:
Optional[str]: An error message or None.
"""| def _handle_general_exception(self, exception): | ||
| """Handle general exceptions during the agent loop.""" |
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Consider adding a docstring to describe the parameters and return value of this function.
def _handle_general_exception(self, exception) -> str:
"""Handle general exceptions during the agent loop.
Args:
exception: The exception that occurred.
Returns:
str: An error message.
"""| def _handle_loop_completion(self, task_completed, final_summary, iteration_count): | ||
| """Handle the completion of the agent loop.""" |
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Consider adding a docstring to describe the parameters and return value of this function.
def _handle_loop_completion(self, task_completed, final_summary, iteration_count) -> str:
"""Handle the completion of the agent loop.
Args:
task_completed: A flag indicating if the task was completed.
final_summary: The final summary of the task.
iteration_count: The number of iterations performed.
Returns:
str: The final result of the agent loop.
"""
Code Coverage Report📊 Current Coverage: 87.80% Detailed coverage analysis is available in SonarCloud Coverage Change DetailsThis shows code coverage for changes in this PR. To improve coverage, consider adding tests for new or modified code. |
Code Coverage Report📊 Current Coverage: 92.33% Detailed coverage analysis is available in SonarCloud Coverage Change DetailsThis shows code coverage for changes in this PR. To improve coverage, consider adding tests for new or modified code. |
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This PR addresses two high severity issues reported by SonarCloud: duplicated string literal and high cognitive complexity in the GeminiModel class.