cleanup

[misrasaurabh1]

PR Type

Enhancement

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Description

• Wrap optimizer logic in try/finally

• Ensure cleanup_generated_files always called

• Invoke cleanup_temporary_paths after each iteration

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Changes diagram

flowchart LR
  A["Start function optimization"] --> B["create_function_optimizer"]
  B --> C["optimize_function"]
  C --> D{"Optimization result"}
  D -->|any| E["cleanup_generated_files"]
  E --> F["cleanup_temporary_paths"]

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Changes walkthrough 📝

	Relevant files
Error handling	optimizer.py Add cleanup and error-safe block                                                  codeflash/optimization/optimizer.py Wrapped optimizer creation and execution Moved existing optimize logic into try block Added cleanup_generated_files in finally Added cleanup_temporary_paths after cleanup +29/-23

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[github-actions]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Exception Handling Any exceptions raised in create_function_optimizer or optimize_function will propagate and break the loop, stopping further optimizations. Consider catching and logging errors to allow the loop to continue processing remaining functions. function_optimizer = None try: function_optimizer = self.create_function_optimizer( function_to_optimize, function_to_tests=function_to_tests, function_to_optimize_source_code=validated_original_code[original_module_path].source_code, function_benchmark_timings=function_benchmark_timings, total_benchmark_timings=total_benchmark_timings, original_module_ast=original_module_ast, original_module_path=original_module_path, ) self.current_function_optimizer = ( function_optimizer # needed to clean up from the outside of this function ) best_optimization = function_optimizer.optimize_function() if self.functions_checkpoint: self.functions_checkpoint.add_function_to_checkpoint( function_to_optimize.qualified_name_with_modules_from_root(self.args.project_root) ) if is_successful(best_optimization): optimizations_found += 1 else: logger.warning(best_optimization.failure()) console.rule() continue finally: if function_optimizer is not None: function_optimizer.cleanup_generated_files() self.cleanup_temporary_paths() State Management The attribute current_function_optimizer is set inside the try block but never reset on failure. This could leave a stale optimizer reference; consider clearing it in the finally block. self.current_function_optimizer = ( function_optimizer # needed to clean up from the outside of this function )

[github-actions]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Catch and log optimization errors Add an except Exception block before finally to catch and log errors during optimizer creation or execution. This prevents a single failure from aborting the entire optimization run. codeflash/optimization/optimizer.py [292-320] try: function_optimizer = self.create_function_optimizer(...) - self.current_function_optimizer = ( - function_optimizer # needed to clean up from the outside of this function - ) + self.current_function_optimizer = function_optimizer best_optimization = function_optimizer.optimize_function() ... if is_successful(best_optimization): optimizations_found += 1 else: logger.warning(best_optimization.failure()) console.rule() continue +except Exception as err: + logger.error(f"Error optimizing {function_to_optimize.qualified_name}: {err}", exc_info=True) + continue finally: if function_optimizer is not None: function_optimizer.cleanup_generated_files() self.cleanup_temporary_paths() Suggestion importance[1-10]: 8 __ Why: Adding an except Exception block prevents a single failure during optimizer creation or execution from aborting the entire run, enhancing robustness.	Medium
	Protect cleanup from errors Wrap each cleanup call in its own try/except block so that failures during cleanup don’t mask the original exception or stop the loop. Log any cleanup errors for troubleshooting. codeflash/optimization/optimizer.py [317-320] finally: if function_optimizer is not None: - function_optimizer.cleanup_generated_files() - self.cleanup_temporary_paths() + try: + function_optimizer.cleanup_generated_files() + except Exception as cleanup_err: + logger.error("Failed to cleanup generated files", exc_info=cleanup_err) + try: + self.cleanup_temporary_paths() + except Exception as cleanup_err: + logger.error("Failed to cleanup temporary paths", exc_info=cleanup_err) Suggestion importance[1-10]: 7 __ Why: Wrapping cleanup calls in separate try/except blocks ensures cleanup failures don’t mask original exceptions or interrupt the loop, improving reliability.	Medium
General	Reset optimizer reference Reset the self.current_function_optimizer reference after each iteration to avoid retaining stale optimizer instances. This ensures that subsequent cleanup operations won’t operate on an outdated optimizer. codeflash/optimization/optimizer.py [317-320] finally: if function_optimizer is not None: function_optimizer.cleanup_generated_files() self.cleanup_temporary_paths() + self.current_function_optimizer = None Suggestion importance[1-10]: 5 __ Why: Resetting current_function_optimizer prevents holding onto stale optimizer instances across iterations, reducing potential side effects.	Low