Abstracted Clean candidate loop using queue.Queue()

[aseembits93]

PR Type

Enhancement

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Description

• Introduce CandidateProcessor class for async candidate management

• Replace manual deque loop with queue-based processing

• Remove old deque import and loop flags

• Update logging to use processor.original_len

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Diagram Walkthrough

flowchart LR
  A["Initial candidates & futures"]
  B["CandidateProcessor"]
  C["get_next_candidate()"]
  D["_process_line_profiler_results()"]
  E["_process_refinement_results()"]
  F["Optimization loop exit"]
  A -- "init Processor" --> B
  B -- "consume candidate" --> C
  C -- "queue empty" --> D
  D -- "add profiled candidates" --> B
  C -- "after profiling" --> E
  E -- "add refined candidates" --> B
  C -- "done" --> F

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File Walkthrough

	Relevant files
Enhancement	function_optimizer.py Abstract candidate loop into queue processor                          codeflash/optimization/function_optimizer.py Added CandidateProcessor class for candidate queue handling Replaced manual deque-based loop with queue logic Removed deque import and loop flags (line_profiler_done, refinement_done) Adjusted logging to reference processor.original_len +95/-44

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[github-actions]

PR Reviewer Guide 🔍

(Review updated until commit 15f9bf9)

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Missing Import OptimizedCandidate is referenced in CandidateProcessor return type hints but isn’t imported, leading to a potential NameError. def get_next_candidate(self) -> OptimizedCandidate | None: Unused Import The defaultdict import isn’t used in the new code and can be removed to clean up the imports. from collections import defaultdict

[github-actions]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Handle profiling result exceptions Wrap the call to future_line_profile_results.result() in a try/except to avoid unhandled exceptions breaking the candidate loop. Log any errors, mark line profiling as done, and return None to continue processing. This ensures the optimizer recovers gracefully from profiling failures. codeflash/optimization/function_optimizer.py [148] -line_profile_results = self.future_line_profile_results.result() +try: + line_profile_results = self.future_line_profile_results.result() +except Exception as e: + logger.error(f"Line profiling failed: {e}") + self.line_profiler_done = True + return None Suggestion importance[1-10]: 7 __ Why: Wrapping future_line_profile_results.result() in try/except improves resilience by preventing unhandled exceptions from terminating the candidate loop.	Medium
	Skip empty refinement waits Guard against waiting on an empty future_all_refinements list to prevent premature marking of refinements as done. If the list is empty, set self.refinement_done = True and return None. This avoids processing a non-existent set of refinement futures. codeflash/optimization/function_optimizer.py [162] +if not self.future_all_refinements: + self.refinement_done = True + return None concurrent.futures.wait(self.future_all_refinements) Suggestion importance[1-10]: 3 __ Why: Checking for an empty future_all_refinements list is redundant since wait([]) returns immediately, so this adds minimal benefit.	Low

[github-actions]

Persistent review updated to latest commit 15f9bf9

[github-actions]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Handle profiling result exceptions Wrap the call to future_line_profile_results.result() in a try/except to avoid unhandled exceptions breaking the candidate loop. Log any errors, mark line profiling as done, and return None to continue processing. This ensures the optimizer recovers gracefully from profiling failures. codeflash/optimization/function_optimizer.py [148] -line_profile_results = self.future_line_profile_results.result() +try: + line_profile_results = self.future_line_profile_results.result() +except Exception as e: + logger.error(f"Line profiling failed: {e}") + self.line_profiler_done = True + return None Suggestion importance[1-10]: 7 __ Why: Wrapping future_line_profile_results.result() in try/except improves resilience by preventing unhandled exceptions from terminating the candidate loop.	Medium
	Skip empty refinement waits Guard against waiting on an empty future_all_refinements list to prevent premature marking of refinements as done. If the list is empty, set self.refinement_done = True and return None. This avoids processing a non-existent set of refinement futures. codeflash/optimization/function_optimizer.py [162] +if not self.future_all_refinements: + self.refinement_done = True + return None concurrent.futures.wait(self.future_all_refinements) Suggestion importance[1-10]: 3 __ Why: Checking for an empty future_all_refinements list is redundant since wait([]) returns immediately, so this adds minimal benefit.	Low