add End to end test for async optimization

[KRRT7]

PR Type

Enhancement, Tests

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Description

• Add async retry with backoff utility

• Report async throughput gains in outputs

• Propagate throughput metrics across pipeline

• Update async end-to-end test target

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Diagram Walkthrough

flowchart LR
  A["Async function under test"] -- "retry_with_backoff" --> B["E2E async test"]
  B["E2E async test"] -- "benchmark + measure" --> C["Baselines (runtime, throughput)"]
  C["Baselines (runtime, throughput)"] -- "compare" --> D["determine_best_candidate()"]
  D["determine_best_candidate()"] -- "include throughput gain" --> E["Console tree output"]
  C["Baselines (runtime, throughput)"] -- "persist" --> F["Explanation model"]
  F["Explanation model"] -- "choose best metric" --> G["Explanation text & console"]

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File Walkthrough

	Relevant files
Enhancement	main.py Add async retry_with_backoff helper                                            code_to_optimize/code_directories/async_e2e/main.py Replace fake API with async retry helper Implement retry_with_backoff(func, max_retries) Validate max_retries and handle exceptions Add minimal backoff using time.sleep +15/-3    function_optimizer.py Surface and propagate async throughput metrics                      codeflash/optimization/function_optimizer.py Print throughput gain in candidate summary Pass async throughput to explanations Include throughput in review regeneration Adjust logging for original throughput +17/-3    explanation.py Prefer throughput in explanation and output                            codeflash/result/explanation.py Add async throughput fields to Explanation Prefer throughput metric when more indicative Update console string to show throughput Import throughput helpers +48/-1
Miscellaneous	critic.py Tidy critic logging for throughput gains                                  codeflash/result/critic.py Remove noisy throughput gain info logging Keep throughput-based selection logic +0/-3
Tests	end_to_end_test_async.py Update async E2E test to new target                                            tests/scripts/end_to_end_test_async.py Point test to main.py Expect zero unit tests generated Update coverage target to retry_with_backoff Adjust expected covered line numbers +4/-4

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[github-actions]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

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

🧪 PR contains tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Async Bug Using time.sleep inside async retry blocks the event loop; replace with await asyncio.sleep for non-blocking backoff. async def retry_with_backoff(func, max_retries=3): if max_retries < 1: raise ValueError("max_retries must be at least 1") last_exception = None for attempt in range(max_retries): try: return await func() except Exception as e: last_exception = e if attempt < max_retries - 1: time.sleep(0.0001 * attempt) Fragile Coverage Hard-coded expected_lines for coverage look brittle; line shifts will break the test. Consider matching by statements/branches or a looser range. config = TestConfig( file_path="main.py", expected_unit_tests=0, min_improvement_x=0.1, coverage_expectations=[ CoverageExpectation( function_name="retry_with_backoff", expected_coverage=100.0, expected_lines=[10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], ) ], ) cwd = ( Metric Choice Logic prefers throughput when runtime improvement is <= 0; verify that negative runtime change with small throughput gain should still override and that messaging stays consistent across outputs. @property def perf_improvement_line(self) -> str: runtime_improvement = self.speedup if ( self.original_async_throughput is not None and self.best_async_throughput is not None and self.original_async_throughput > 0 ): throughput_improvement = throughput_gain( original_throughput=self.original_async_throughput, optimized_throughput=self.best_async_throughput, ) # Use throughput metrics if throughput improvement is better or runtime got worse if throughput_improvement > runtime_improvement or runtime_improvement <= 0: throughput_pct = f"{throughput_improvement * 100:,.0f}%" throughput_x = f"{throughput_improvement + 1:,.2f}x" return f"{throughput_pct} improvement ({throughput_x} faster)." return f"{self.speedup_pct} improvement ({self.speedup_x} faster)."

[github-actions]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Avoid blocking event loop Replace the blocking sleep with asyncio.sleep to avoid blocking the event loop in an async function. Also make the initial delay non-zero to ensure a minimal backoff delay. code_to_optimize/code_directories/async_e2e/main.py [5-16] async def retry_with_backoff(func, max_retries=3): if max_retries < 1: raise ValueError("max_retries must be at least 1") last_exception = None for attempt in range(max_retries): try: return await func() except Exception as e: last_exception = e if attempt < max_retries - 1: - time.sleep(0.0001 * attempt) + await asyncio.sleep(0.0001 * max(1, attempt)) raise last_exception Suggestion importance[1-10]: 8 __ Why: The function retry_with_backoff is async but uses blocking time.sleep, which can stall the event loop; replacing with await asyncio.sleep(...) is correct and impactful for async correctness. The improved code aligns with the PR context and imports asyncio are present.	Medium